VOLUME 13, ISSUE 2, FEBRUARY 2024

Abstract: The data is used monthly and daily on our mobile phone. The mobile data package is used day by day to recharge the data pack. A data saver is also used for mobile data. The data is used for one day, but it is not full data. It is used as mobile data in a mobile data package. They will continue in the next day's data package, and the data will be saved and stored in our mobile system storage. The data-saving mode will be on your system. The data saved by the data package network In your mobile data stored, a network used the next day will continue. If your data package of 1 GB is used in one day, you will have 500 MB left. On balance, 500 MB are used for the next-day usage data package on mobile data. used by data in one day and balance data stored an automatic mobile stored in our mobile network data, and that data is used by the next day also using our mobile network. If you used 600 MB and the balance of 400 MB is stored automatically in our mobile, the next day you will continue to use a data package. If, suppose, in one day the data package is not used in full and a half day is used, the balance data package is next and will continue in our data package.

Keywords: Data saving mobile network, Data analysis techniques, Wi-Fi data background Cite: V.Renuka, S. Suba, "AN OVERVIEW ON DATA SAVING IN MOBILE NETWORK", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13202.

Abstract: Mobile Edge Computing (MEC) provides mobile and also cloud computing capabilities within the access network, this aims to unite the Telco and IT at the mobile network edge. The main feature of MEC is to push mobile computing, network control and storage to the network edges so as to enable computation- intensive and latency-critical application at the resource-limited mobile devices. MEC promises dramatic reduction in latency and mobile energy consumption and helping in tackling the key challenges for materializing 5G vision. As a profitable edge technology, it can be applied to mobile, wireless, and wire line scenarios, by using a software and hardware platforms, located at the network edge. Mobile Edge Computing provides seamless integration of multiple application service providers and vendors toward mobile subscribers, enterprises, and some other vertical segments. MEC is an important component in the 5G architecture which supports variety of innovative application and services where ultra low latency is required. The aim of this paper is to present a comprehensive survey of relevant research and technological developments in the region of MEC.

Keywords: Binary offloading, Autonomous mobile robots (AMRS), Dense Geographical Distribution, Augmented Reality and Virtual Reality (AR/VR), Ultra authentic low latency communication, Virtualization infrastructure Manager. Cite: N.B. Nithya, R. Swathi, "AN OVERVIEW OF MOBILE EDGE COMPUTING", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13203.

Abstract: In latest years, with the modern improvements in Robotics and Artificial Intelligence (AI), robots have the ability to guide the sphere of healthcare. Robotic structures are regularly added with inside the care of the elderly, children, and men and women with disabilities, in hospitals, in rehabilitation and strolling assistance, and different healthcare situations. In this survey paper, the current advances in robot generation implemented with inside the healthcare area are discussed. It is shown that surgical robots are being employed in ever‐growing range of clinical procedures. Systems using tactile remarks are below development. Improved robot prosthetics are the subject of a prime studies attempt and latest traits consist of palms and grippers, on foot aids and novel manage techniques, such as thought activated structures which make the most advances in brain laptop interface technology. In light of these results, we show the variability in patients Perspex. We focus on how robots can provide benefits to patients, healthcare workers, customers, and organizations during the COVID-19 pandemic. We advise numerous opposite visions to this dominant narrative of healthcare robots as framework for future fieldwork that, we argue, should investigate the institutions of robotic.

Keywords: Robotic surgical, Pioneering Robotic Inventions, Vicarious Surgical Robotic System, TUG Robot by Aethon, Misty II robot, Monitoring and testing. Cite: Venmathi.K, Deepika.P, "A SURVEY ON ROBOTS IN HEALTH CARE INDUSTRY", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13204.

Abstract: The world of the security on the internet is very poor and getting worse. One of the fastest growing areas in network security, and certainly an area that generates much discussion is that of ethical hacking and hacking attack. Ethical hacking is an identical activity which amines to find and sort out the weakness and susceptibility in the system. Ethical hacking describes the process of hacking a network in an ethical way, therefore with good intentions. As nowadays all the information is available online, a large number of users are accessing it, some of them use this information for gaining knowledge and some use it to know how to use this information to destroy or steal the data of websites or database without the knowledge of the owner. Thus the need of protecting the system from the nuisance of hacking generated by the hackers is to promote the person who will punch back the illegal attacks on our computer system. The main purpose of this study is to reveal the brief idea of the ethical hacking and hacking attack its affairs with the corporate security. Group of hackers are white hats, black hats, gray hats. This paper describes what ethical hacking and hackers attack is, what it can do, an ethical hacking tools which can be used for n ethical hack. This paper tries to develop the centralized idea of the ethical hacking and hacking attack all its aspects as a whole.

Keywords: Criminals, loophole, security, zombie system, network. Cite: G. Divya, M. Nasrin Thaslima, "A STUDY OF ETHICAL HACKING AND HACKING ATTACK", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13205.

Abstract: According to wireless sensor networks (WSNs) which, enable new application and to require non-conventional paradigms for protocol design. It is a study of wireless sensor networks technology and this paper aims at reporting an overview of WSNs technologies, main application and standards, features in design and evolutions. Several applications require an end-to-end data transport With congestion control to achieve an intended performance, especially during any traffic. It inspires a huge effort in research activities, standardization process, and industrial investments since the last decade. Some outlandish application, based on environmental monitoring, is discussed and design strategies highlighted; a case studies based on a real implementation is reported. WNS where first used in military missions. The main drawback is the energy constraints as it seems impractical to change or research the battery. Some research works including sensor network applications, components, reliable transport protocols, and congestion control schemes are summarized and compared in different sections. This paper provides the definition of wireless sensor networks (WSNs), IEEE 802.15.4 technology and other technologies, protocols, application and future research works.

Keywords: WSNs, IEEE802.15.4, protocols, application, end-to- end data, future research. Cite: V.Vijaitha, R. Sruthi, "A Survey on Wireless Sensor Networks", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13206.

Abstract: In recent times, there have been attempts to leverage artificial intelligence (AI) techniques in a broad range of cyber security applications. Artificial Intelligence (AI) is a powerful technology that helps Cyber Security teams automate repetitive tasks, accelerate threat detection and response, and improve the accuracy of their actions to strengthen the security posture against issues and cyber attacks. The AI is transforming the world in many ways and one of the most crucial areas is cyber security. To be created AI in cyber security template for Microsoft Power point and Google slides to illustrate the role of AI in detecting and preventing cyber risk. This paper provides a concise overview of AI implementation of various cyber security using artificial technologies and evaluate the prospects the expanding the cyber security capabilities by enhancing the defense mechanism. On the other hand, it was clear that certain cyber security problems would only be overcome efficiently if artificial intelligence approaches are deployed.

Keywords: Cyber Security, Microsoft Power point, Google Slides, Attacking, Marketing, Chat GPT. Cite: M.Vasanthi, R. Narmadha, "A CURRENT TREND OF ARTIFICIAL INTELLIGENCE IN CYBER SECURITY", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13207.

Abstract:   According to Security threats and economic loss caused by network attacks, invasion, and vulnerabilities have motivated intensive studies on network security. Normally, the data collected in a network system can return or can be used to detect security threats. Examining and investigate security-related data can help detect network attacks and invasion, Hence making it for possible to further measure the security level of the whole network system. Obviously, the first step in detecting network attacks and invasion is to collect security-related data. Following we provide that requirements and objectives for security-related data collection and present a taxonomy of data collection technologies. In this paper we discuss network security-related data collection, requirement, objectives, technologies, future research trends.

Keywords: security, data collection, CIA Triangle. Cite: B. Ashwini, R. Ranjani, M. Ezhilrani,"Data Collection Technologies Using Network Security", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13208.

Abstract: Quantum Computing is a rapidly emerging technology that harnesses the laws of quantum mechanics to solve problems to complex for classical computers. It brings together ideas from classical information theory, computer science and quantum physics. A tool scientist only began to imagine three decades ago is available to hundreds of thousands of developers. New approach to calculate that uses principle of fundamental physics to solve extremely complex problems very quickly. Quantum computing represent a completely new approach to computing while they won’t replace today’s computers, by using the principles of quantum physics, they will be able to solve very complex statistical problems that today’s computers can’t. Quantum computing alone is one of the three main area of emerging quantum technology could account for nearly $1.3 trillion in value by 2035.

Keywords: Qubits, Entanglement, Rivest–Shamir–Adleman (RSA), Pharmaceuticals, Microwave Photons, Laser and Voltage. Cite: Sneha.E, Indhuja.K,"An Overview of Quantum Computing", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13209.

Abstract: Quantum cryptography yield a cryptographic solution which is immortal as it reinforces prime secrecy that is applied to quantum public key distribution. It is a noticeable technology wherein two entities can communicate securely with the sights of quantum physics. In classical cryptography, bits are used to encode the information where as quantum cryptography that is quantum computer are uses photons or quantum particles and the photon's polarization which are their quantized attribute to encode the information. This is represented in the qubits which is the unit for quantum cryptography. The transmissions are certain as it is depended on the conclusive quantum mechanics laws. The emphasis of this paper is to be mark the gain of quantum cryptography, its components, quantum key distribution and quantum implementation Keywords: Photon Polarization Principle, Eaves droppers, Quantum Key Distribution, Classical and Qubits, Alice and Bob, Magiq Technologies. Cite: M. Pavithra, M. Harisha, "A Survey on Quantum Cryptography", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13210.

Abstract: Wide-connectivity among agency site side networks and critical workplace middle networks /cloud information facilities has visible a widespread growth in demand. Various software program described huge place network (SD-WAN) answers were created with the number one intention of growing the usage of WAN links.SD- WANs solve a number of the maximum urgent WAN issues customers presently face whilst constructing and handling hybrid WANs. Software-described extensive location network, i.e., SD-WAN, has been appeared because the promising structure of next-technology extensive location network. As SD-WAN primarily based totally multi-goal networking has been extensively mentioned to offer first-rate and complicated services, we explore the opportunities and challenges brought by new techniques and network protocol.

Keywords: Software Defined Wide Area Networking (SD-WAN), Wide area networks, Business, Software, Networks, Architecture. Cite: K. Jeevitha, R.V. Boomika, "A SURVEY ON SOFTWARE DEFINED-WAN", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13211.

Abstract: This paper addresses two important areas of databases. First, the fuzzy database approach was examined and the current state of fuzzy databases was also discussed in depth. The fuzzy database approach is examined in terms of: the need for fuzzy databases, the techniques used to store and retrieve fuzzy data in fuzzy databases and information retrieval systems, database frameworks for fuzzy databases and the fuzzy database approach for information retrieval systems. The advantages of using object-oriented database frameworks are described. A prototype fuzzy object-oriented database system (FOODS) is developed to demonstrate the feasibility of a fuzzy object-oriented database system. We know that most real-world data is fuzzy, imprecise and incomplete, and that conventional relational databases therefore lack the capacity to integrate and manage it, we then need a thorough knowledge of the state of the art of fuzzy logic to understand it. To managing these imprecise, ambiguous and incomplete data, particularly in multi-criteria decision making, we need fuzzy sets and fuzzy logic to extend the classical relational database model, and they serve as a functional means of support to handling these anomalies and that is achieved by fuzzy database model. This discussion of the state of the art of fuzzy database models is therefore a review and condensation of the various approaches adopted by different authors to integrate precise and incomplete data. The limitations and possible improvements of the models have been taken into account.

Keywords: Object-oriented Database management systems, Fuzzy set theory, Fuzzy Object-Oriented Database Management System, fuzzy Object-Oriented Database System, Fuzzy Logic, Machine learning, Artificial Intelligence. Cite: Chukwu, E. G. , Okoronkwo, M. C. , Ezema, M. E. , Achi, I. K. , Nwosu, P. C.,"A SYSTEMATIC REVIEW OF FUZZY DATABASE APPROACHES AND ITS STATE OF THE ART", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13201.

Abstract: Bloom’s Taxonomy is a classification of learning objectives within education that educators set for students. The cognitive domain within this taxonomy is designed to verify a student’s cognitive level during a written examination. Educators may sometimes face the challenge in analysing whether their examination questions comply within the requirements of the Bloom’s taxonomy at different cognitive levels. This paper proposes an automated analysis of the exam questions to determine the appropriate category based on this taxonomy. This rule based approach applies Natural Language Processing (NLP) techniques to identify important keywords and verbs, which may assist in the identification of the category of a question. This work focuses on the computer programming subject domain. At present, a set of 100 questions (70 training set and 30 test set) is used in the research. Preliminary results indicate that the rules may successfully assist in the identification of the Bloom’s taxonomy category correctly in the exam questions. Automatic question paper generation using Bloom’s taxonomy is a technique that leverages the hierarchical structure of Bloom’s cognitive domain to create questions of varying complexity and cognitive levels. The system uses algorithms and natural language processing to analyse the learning objectives or content and then generates appropriate questions that align with Bloom’s taxonomy levels, such as knowledge, comprehension, application, analysis, synthesis, and evaluation. This approach helps educators to create well-balanced and comprehensive assessments for students, promoting deeper understanding and critical thinking.

Keywords: Bloom’s Taxonomy, Natural Language Processing (NLP) Cite: Tejal Deokar, Ruchita Chaudhari, Ashwin Sapkale, Krishna Patil, Prof. Snehal Dongare,"Automatic Question Paper Generation and Weightage Using Blooms’s Taxonomy", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13212.

Keywords: Cloud Computing, Healthcare, Finance, Education, Case studies, Data-driven strategies, Serverless Architecture, Future Trends. Cite:  Soumya Nayak, "CLOUD COMPUTING ACROSS DOMAINS: A REVIEW OF TRANSFORMATIVE APPLICATIONS", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13213.

Keywords: Text Mining, Information Extraction, Scientific Document Analysis, Named Entity Recognition (NER),Topic Modeling, Sentiment Analysis, Machine Learning in NLP, Data Mining, Bioinformatics, Knowledge Discovery, natural language processing; exposure research; exposome; machine learning. Cite: Dr. Jaynesh H. Desai, "Natural Language Processing in Scientific Literature Mining: Advancements, Applications, and Challenges", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13214.

Abstract: Background: The image fusion model integrates information from two or more images into a single image that is more informative and appropriate for visual perception or computer analysis. Material and methods: A Samsung 315 digital camera was used to collect the 2,800 datasets, which are photos and postures of randomly chosen students from the Department of Computer Science at Ladoke Akintola University of Technology. The datasets were then normalized to a consistent size of 300 x 300 pixels. Forty percent of the photos were used for testing, and sixty percent of the images were used for training. Results: The results showed that the EIHS-POA technique has a better performance in accuracy, sensitivity, specificity, precision, and false positive rate than the IHS-POA and POA techniques as enumerated for EIHS-POA datasets, with a recognition accuracy of 96.90%, a sensitivity of 99.37%, a specificity of 92.59%, and a precision of 96.90% compared to the IHS-POA technique, with a recognition accuracy of 95.56%, 97.46% sensitivity, 91.11% specificity, and 96.24% precision. Also, with the EIHS-POA technique, 98.44% of recognition accuracy, 98.41% of sensitivity, 98.52% of specificity, and 99.36% of precision. With the IHS-POA technique, recognition accuracy is 96.44%, with 96.51% of sensitivity, 96.30% of specificity, and 98.38% of precision. The EIHS-POA technique has a lower false positive rate of 7.41%, 5.19%, 2.96%, and 1.48% for enhanced PAN and MULT-SPEC images with recognition times of 100.56s, 101.67s, 107.75s, and 106.97s. Conclusion: It was concluded that the evaluation obtained in the Enhanced Intensity Hue Saturation Pelican Optimization Algorithm (EIHS-POA)-based procedure had improved high resolution and high visual perception in all instances. The result provided evidence of the importance of applying a Pelican Optimization Algorithm-Based Model to find the high resolution and high visual perception of the system.

Keywords: Enhanced Intensity Hue Saturation Pelican Optimization Algorithm (EIHS-POA), image fusion, pelican optimization algorithm Cite: Isiaka Akinkunmi Adeyemo, Oyewale Oladoyin Tunbosun, Stephen Olatunde Olabiyisi, Funmilayo Alaba Ajala, "IMPLEMENTATION OF THE FORMULATED PELICAN OPTIMIZATION ALGORITHM-BASED INTENSITY HUE SATURATION MODEL USING MATLAB (R2016a) INTEGRATED ENVIRONMENT", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13216.

Abstract: In the contemporary context of smart home technologies, this project presents an innovative solution—a Raspberry Pi-based Automatic Fan Speed Controller integrated with a Temperature Display using an LCD. The system is designed to optimize energy consumption and enhance user comfort by dynamically adjusting fan speed based on real-time temperature readings from a chosen sensor. The hardware components, including a Raspberry Pi, temperature sensor (LM75), DC fan, and LCD display, are interconnected to create a responsive and intelligent environment. The Python script orchestrates the system, continuously monitoring ambient temperature, dynamically adjusting the fan speed, and concurrently updating the LCD display with real-time temperature information. The LCD serves as a user-friendly interface, offering instant visual feedback on the current temperature. The versatility of the project allows for easy customization of temperature thresholds and control parameters, catering to specific user preferences. Overall, this Automatic Fan Speed Controller contributes to energy efficiency, providing a seamless blend of functionality and user convenience in residential and commercial spaces. Future enhancements may involve integrating the system with IoT platforms for remote monitoring and control, further extending its applications in the realm of smart home automation.

Keywords: Raspberry Pi, LM75, automated fan, temperature Cite: Dr.Karthik V, Nadesh Ragul K J, Nishanth S, Naresh S,"DESIGN OF AN AUTOMATIC ROOM TEMPERATURE-CONTROLLED FAN USING RASPBERRY PI AND LM75 SENSOR", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13217.

Abstract: Data visualization techniques have undergone a remarkable evolution over the years, transitioning from static representations to dynamic and interactive visualizations. This paper looks into the historical context and key milestones in the development of data visualization techniques, tracing the evolution from static charts and graphs to dynamic and interactive visualizations that offer enhanced insights and interactivity. This research contributes to a deeper understanding of the evolution of data visualization techniques and their impact on the field of data science, informing practitioners, researchers, and decision-makers alike about the opportunities and challenges presented by dynamic and interactive visualizations in the era of big data and advanced analytics.

Keywords: Data Visualization, Static Visualizations, Dynamic Visualizations, Big Data, Information Visualization, Technologies. Cite: Yogesh Rathod, "Understanding The Evolution of Data Visualization Techniques: From Static to Dynamic Visualizations", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13218.

Keywords: IoT, Sensors, Fuel Consumption, Real-time Tracking, Instant alerts. Cite: Karunya L, Sugapriya S.A, B. Pravin Balu, G. Thiagarajan,"FUEL SMART: REAL-TIME IOT SURVEILLANCE FOR VEHICLE", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13219.

Abstract: The smart street light systems utilizing Internet of Things (IoT) technology represents a significant evolution in urban development, offering a multitude of advantages. These advanced systems, equipped with sensors, enable real-time data monitoring and analysis, facilitating dynamic adjustments to lighting levels based on factors such as traffic patterns and weather conditions. This responsive approach leads to substantial energy savings by dimming lights during periods of low demand and increasing brightness when necessary, providing a cost-effective and sustainable urban lighting solution. The capability for remote monitoring and control enhances operational efficiency, enabling quick responses to malfunctions and ensuring well-lit public spaces. Furthermore, the overall impact extends to the reduction of carbon emissions, aligning with environmental sustainability goals and contributing to the creation of smarter, more eco-friendly cities. Ultimately, the implementation of smart street light systems utilizing IoT technology emerges as a pivotal advancement, enhancing infrastructure and promoting the development of more sustainable and livable urban environments

Keywords: IOT, AI , Smart street light, efficiency ,Sustainable , Enhancing infrastructure Cite: Merina Susan Cherian, Maria Christabel Blossom, I. Bildass Santhosam, G. Thiagarajan, "AUTOMATED STREET LIGHT CONTROLLER AND POWER MANAGEMENT SYSTEM", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13220.

Abstract: Background: In medical applications, image fusion has become a popular approach for improving image interpretation quality. It comprises combining data from two or more object pictures to create a single, more informative image that is suitable for computer analysis or visual perception. Material and methods: The datasets of two thousand eight hundred, which consist of images and postures of randomly selected students of Department of Computer Science, Ladoke Akintola University of Technology, were acquired using a SAMSUNG 315 digital camera and normalized to a uniform size of 300 x 300 pixels. Sixty percent of the images were used for the training while the remaining forty percent were used for testing purposes. Results: The results showed that at optimum threshold value of 0.85, the Enhanced Intensity Saturation (EIHS) gave 98.44%, 98.22%, 97.78%, 96.90, 107.75s and 14.81% for recognition accuracy, Sensitivity, Specificity, Precision, Computational Speed and False Positive Rate respectively. The standard Intensity Hue Saturation (IHS) produced 96.44%, 96.00%, 95.78%, 95.56%, 120.0s and 8.89% for recognition accuracy, Sensitivity, Specificity, Precision, computational speed and False Positive Rate respectively Conclusion: It was concluded that the performance of the developed model of Enhanced Intensity Hue Saturation (EIHS) based model could be very useful and reduce crime and fraudulent cases.

Keywords: Image fusion, Enhanced Intensity Hue Saturation (EIHS), multispectral, panchromatic images, pelican optimization algorithm Cite: ADEYEMO Isiaka Akinkunmi, TUNBOSUN Oyewale Oladoyinbo, AMUSAN Damilare Gideon and JEREMIAH Yetomiwa Sinat,"THE PERFORMANCE OF DEVELOPED INTENSITY HUE SATURATION FUSION OF MULTISPECTRAL AND PANCHROMATIC IMAGES USING PELICAN OPTIMIZATION ALGORITHM", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13221.

Abstract: The importance of energy monitoring in the face of increasing electricity demand caused by population growth, urbanization, and industrialization. To get over the limitations of traditional energy monitoring and control methods, this research study proposes an IoT-based energy monitoring system solution utilizing Bluetooth. In order to enable users to actively manage and optimize their energy consumption, the proposed system seeks to deliver real-time energy statistics, user-friendly interfaces, and seamless interaction with a variety of devices and appliances. The system's architecture, features, and advantages in terms of effective energy management, and environmental sustainability are discussed. The usefulness of the suggested approach in enabling users to make knowledgeable decisions about energy use and realize large energy savings is demonstrated by experimental findings and case studies.

Keywords: IOT, Energy Monitoring, Sensors, Energy Consumption, Power consumption Cite: Chaithra Ramdas, Meghan Suvarna, Deepthi D Hegde, Akshay Nayak, Bhavya S,"IOT Based Energy Monitoring System", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13222.

Abstract: These days, many places struggle with air pollution, putting the health of young and old at risk for respiratory issues. Forecasting fine-grained air quality in the future is crucial for informing public policy and helping individuals make decisions. Using historical data on air quality, meteorological expertise, and forecasting data, we predict the average air quality for a town for the next seven days, as well as the air quality for each tracking station for the next 48 hours. Our proposal is a deep neural network method called Deep Air, which is based on domain knowledge about air pollutants. We employ a deep cascaded fusion community for longer-term forecasting and a deep distributed fusion network for station-level long-term prediction, and long-term prospects for the city. The previous community used a neural distributed structure as part of the information transformation preprocessing in order to combine diverse city facts and simultaneously collect the direct and indirect components affecting air quality. The latter network examines the dynamic effects of historical, current, and projected future data on air quality using a neural cascaded architecture. Our device specifically integrates three additives— a project scheduler, and a prediction model—to boost the system's efficacy and stability. These additives function through a structure of many challenges. Results from experiments demonstrate the advantages of our proposed approach, which is mostly based on datasets from nine Indian towns over a three-month period. Index Term: Air excellent prediction, Deep Neural Networks. Cite: Dr. S Rajesh, P Bazeer Ahamed, M Deepakkumar, T Subramanian, G Raj Karna,"Predicting Air Quality by Particulate Matter Based on Neural Networks", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13223.

Abstract: The interactive AI infused Chabot is a project based on Artificial intelligence and machine learning which involves creating machines that can mimic human intelligences, capable of understanding, learning and problem solving in complex ways. And computers learn on their own by crunching data and identifying patterns, improving without explicit instructions. The existing mental health care system faces challenges in terms of accessibility, personalized care, and continuous assistance. Geographical constraints, cost, and long wait times limit the accessibility of traditional therapist-based care. Continuous support is lacking, as therapy sessions are often limited, leaving individuals feeling isolated and unsupported. The proposed solution involves an interactive AI-powered Chabot designed for anxiety management through personalized conversations. This voice-enabled AI Chabot aims to provide real-time coping strategies for emotional well-being. Additionally, a text-based Chabot driven by AI offers personalized support for addressing depressive symptoms, thus addressing the gaps in the current mental health treatment landscape.

Keywords: Mental Health Chatbot, AI Therapy, NLP, CBT (Cognitive Behavioral Therapy), Machine Learning. Cite: Gokul Prasath J, Deepa R, G. Thiagarajan, I. Bildass Santhosam, "Interactive AI infused Chabot for Treatment of Mental illness", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13224.

Abstract: Our project, based on Arduino technology, aims to enhance cleanliness in India by providing smart toilets under the "Swachh Bharat Abhiyan" initiative. Unlike existing systems that focus on identifying dirt, our proposed system ensures ongoing cleanliness by monitoring sweeper activities. Using sensors like MQ-135, MQ-8, RFID, MQ- 4, Arduino, and DHT-11, the E-Toilet system detects and cleans unhygienic conditions. It includes a hardware kit with location, ID, and cleaning staff details, maintaining cleanliness records in a database. Notifications are sent to municipal authorities via a web page, and an RFID reader ensures accountability by linking cleaning activities to unique IDs.

Keywords: MQ-135 Sensor, MQ-135 Sensor, Rfid Reader, Rfid Tag, MQ-4, Arduino, DHT- 11 Temperature Humidity Sensor, MNC Cite: Parth Narkhede, Abhishek Adhalkar, Lokesh Bapte, Aditya Valvi, Prof. Nilesh Madke, "E – Toilet", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13225.

Abstract: In today's dynamic enterprise landscape, maximizing efficiency and employee productivity is paramount. This paper explores the impact of Smart Lockers technology allowing centralized device access and management, to deliver significant gains in both areas. Leveraging quantitative analysis and real-world data, we demonstrate the measurable impact of Smart Lockers on cost savings, logistics optimization, and enhanced bug resolution rates. By reducing engineers’ idle time and streamlining internal workflows, Smart Lockers offer a compelling value proposition for enterprises seeking to optimize performance and gain a competitive edge.

Keywords: Smart Lockers, Enterprise Efficiency, Bug Resolution, Cite: Punit Dewani, Efrain Rodriguez,"Enhancing Debugging Efficacy in U.S. Tech Enterprises: An Empirical Study of Smart Locker Integration and its Impact on Bug Resolution Volumes", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13226.

Abstract: According to WHO data, cardiac disorders cause around one crore twenty lakh deaths annually. Heart illness and cardiovascular disease have historically had a significant impact on the medical field, indicating their extreme hazards and widespread impact. Though it is not feasible to predict heart illnesses or CD in advance, nor is it feasible to monitor patients around the clock due to the high time and expertise requirements, treatment and diagnosis for heart disease can be extremely difficult, especially in developing or impoverished nations. Additionally, a person may pass away as a result of inadequate medical care or a delayed diagnosis. Researchers often use the wealth of data from the medical business to produce new science and technologies aimed at reducing the number of heart disease-related deaths. Numerous algorithms and data mining approaches are available to extract information from databases and utilize that information to make highly accurate predictions about cardiac ailments. We used machine learning in this heart disease model. The whole process was implemented on a dataset from Kaggle that contained 14 attributes and 303 rows in total. The model employs the following algorithms: Random Forest, SVM, NB, K-NN, Decision Tree, and Logistic Regression.

Keywords: Machine Learning, Heart Disease, Kaggle, Cardiovascular Disease, WHO, Classification, Dataset, ML Algorithm. Cite: Suwarna Nimkarde, Omkar Chavan, Shlok Damudre, Bhagyashree Nikam , "Machine Learning and Web Solution for Heart Disease Prediction", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13227.

Abstract: This study describes the planning, creation, and deployment of a state-of-the-art restaurant e-management system that makes use of Salesforce technology. Our system tackles important issues facing the restaurant business, like order processing, inventory management, and customer engagement, by utilizing the powerful features of the Salesforce platform. In-depth system architecture analysis is provided by the study, which also outlines the integration of Salesforce components—such as Salesforce CRM and Salesforce Commerce Cloud—as well as specially designed applications for the restaurant industry. The paper illustrates the observable advantages of using Salesforce in restaurant e-management, such as increased operational efficiency, real-time data analytics, and better customer experiences, through a number of case studies and performance evaluations. The results not only add to the expanding corpus of information regarding restaurant management systems but also provide. Cite: Pranay Selokar, Dr.Namrata Khade *, Namrata Walde, Ananya Thakre, Ishika Chatap,"Restaurant E- Management", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13228.

Abstract: In recent times, the problems of efficiency and marginal productivity in the air transportation industry have become one of a global concern, particularly, in Nigeria. Safer and faster movement of passengers and their luggages in a record time with drastic reduction in the running cost are bottlenecks facing the aviation industry. The Traditional Dijkstra’s Algorithm could determine shortest path in air route distance but its exiting mechanism leads it to infinite loop. Based on this, the research sought to deploy Modified Dijkstra’s Algorithm in the planning, calculation and implementation of air route network to determine the shortest path distance. The approach employed the Comparison Addition Model (CAM) in determining the optimal distance from the source to the destination within the network. Permutation and combination analysis was used to determine all possible routes. Multiple parameters (time factor optimization, congestion reduction, memory utilization) capable of determining the shortest and optimal distance a flight can possibly travel in a routing network were handled. Python Programming Language was proficient for its coding. The performance evaluation of Modified Dijkstra’s Algorithm and Traditional Dijkstra’s algorithm based on F_1 Score, Recall and Precision was carried. The Modified Dijkstra’s Algorithm was found to perform better than the Traditional Dijkstra’s Algorithm.

Keywords: Modified Dijkstra Algorithm (MDA), Comparison Addition Model (CAM), Shortest Path Air Route Network, Air Transportation Cite: Mba, Uchenna Ewa , Mbeledogu, N. Njideka,"SHORTEST PATH SYSTEM FOR NIGERIAN AIR DISPATCH NETWORK USING MODIFIED DIJKSTRA’S ALGORITHM", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13229.

Abstract: In this modern world everyone depends on internet and mobile phones. Keeping this thing in the mind we designed food recipe android application to assist users to cook like a master. This paper introduces a food recipe app designed to help the users in cooking. This food recipe app aims to improve the cooking skills of user. The app is designed using innovative features and advanced technology. This application provides the recipe based on the requirement and ingredients available with the user. The software architecture was used to make this system light and quick in comparison to such an application with a locally stored database. In this paper we summarize implementation details and results of the system practice. This system is a proper source for beginner and professionals.  

Keywords: Food, recipe, cooking, technology Cite: Ajay Yedage, Jatin Maske, Deep Nikum, Suwarna Nimkarde,"Recipe World: A Next-Generation Food Recipe App Revolutionizing Home Cooking", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13230.

Abstract: Blockchain technology and artificial intelligence (AI) have been gaining much interest in the finance industry due to their potential to democratize access to financial services, especially in impoverished areas lacking traditional banking infrastructure. The current study adopts a research strategy that thoroughly examines and integrates existing literature on the convergence of AI and blockchain technologies within the banking sector. The strategy combines qualitative and quantitative methods to deliver a holistic understanding of the integration's advantages and limitations of blockchain technology and AI in banking. The data is subjected to qualitative content analysis to identify recurring themes, trends, and linkages in the literature. Blockchain technology offers inherent security features, such as encryption and cryptographic hashing, but also introduces new privacy challenges. Security and privacy issues necessitate the deployment of strong encryption protocols, access controls, and data anonymization techniques that protect sensitive data and ensure regulatory compliance. Integrating blockchain and AI offers significant opportunities for enhancing the risk management processes in supply chain finance, enabling real-time tracking, transparency, and optimization of supply chain processes. AI-driven algorithms improve fraud detection and risk management, allowing financial institutions to spot unusual trends and proactively reduce risks. This paper attempts to promote discussion on possible applications and help readers make well-informed decisions on the future of finance in a blockchain-enabled, artificial intelligence-driven world by looking at real-life instances.

Keywords: Blockchain Technology, Artificial Intelligence (AI), Finance, Risk Management, Supply Chain. Cite: Santosh Reddy Addula, Karthik Meduri, Geeta Sandeep Nadella,Hari Gonaygunta,"AI and Blockchain in Finance: Opportunities and Challenges for the Banking Sector", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13231.

Abstract: In cloud computing, optimal load distribution across servers is essential for robust system performance. This paper presents the Adaptive Weighted Round-Robin (AWRR) algorithm, a fresh approach to dynamic load balancing in cloud environments. Distinctively, AWRR employs adaptive weights that are fine-tuned according to each server's real-time load. We evaluated the efficacy of AWRR using several parameters including request distribution fairness, server response time, and system throughput. Preliminary findings indicate a significant improvement in load balance with AWRR, as evidenced by a 15% decrease in response time variability among servers and a 20% increase in overall system throughput when compared to conventional round-robin methods. The core mathematical formulations and experimental setup are discussed, highlighting the potential of AWRR to revolutionize load balancing practices by reducing system bottlenecks and enhancing cloud server efficiency.

Keywords: Adaptive algorithms, Adaptive Weighted Round-Robin, Cloud Computing, Load Balancing, Performance Optimization, Resource allocation, Weighted Round Robin. Cite: P Supriya, Enumula Sashank, Nalla Surya Prathibha, Dendukuri Amrutha Lahari, Alla Venkata Sai Nikhilesh, "AWRR: A Unique Dynamic Sustainable Load Balancing Strategy for Cloud Servers ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13232.

Abstract: In the provided field instruction, deep learning is described as mimicking the brain using artificial neurons to automatically extract layered patterns from diverse data, such as images and text, for tasks like disease recognition and language translation. The challenges include data availability and quality, particularly in collecting extensive and high-quality images of potato leaves with varying diseases and growth stages. Model generalizability is highlighted as a concern, with a focus on convolutional neural networks (CNNs), such as VGG16 and ResNet, for image recognition. The proposed system suggests leveraging transfer learning by utilizing pre-trained models for potato disease classification and employing data augmentation to artificially expand datasets. Emphasizing the increase in quantity and diversity of training data is recommended to enhance the model's ability to generalize to unseen data and improve robustness in various scenarios.

Keywords: Potato, Leaf, Disease, Prediction, Deep learning, CNN, Agriculture, Crop health, Image classification Cite: Vishal V, Harishkumar R, B.A Banupriya, G.Thiagarajan, "A Deep Learning Approach for Accurate Potato Leaf Disease Prediction", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13234.

Abstract: In the realm of college events, effective communication and engagement are pivotal for success. This paper presentation delves into the development and significance of the Bahaar website, an initiative aimed at enhancing the experience and outreach of our college's annual event. By leveraging modern web technologies and design principles, the Bahaar website serves as a platform for information dissemination, registration, and community engagement. This paper outlines the objectives, design process, features, and potential impact of the Bahaar website project.

Keywords: Website Development, College Events, Web Technologies, Registration, Login Cite: Ms.Dweetiya Ashok Thakur, Ms.Mayuri Santosh Jadhav, Ms.Vaishnavi Vijay Kale, Prof. Kalyani More,"Best of Bahaar(B.O.B)", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13235.

Abstract: The main goal of this assertion is “Reducing the stress of students and improving critical thinking abilities using a multi-player Virtual Game Environment”. Nowadays students have a lot of different responsibilities, right from attending college lectures, performing extra-curricular activities, going for coaching classes and so on. These all factors increase the stress that students experience. As it has been said in the past that, “Humans are Social Animals”, so it is crucial for people to interact with each other. Playing multi-player games can improve leadership skills, collaborative working abilities and even develop logical thinking amongst the students whilst at the same time they release some pent-up stress in a less amount of time. The past few years due to the recent pandemic many students have found it difficult to socialize and interact with their friends and even family members. Hence, with the help of an easy to play multi-player game the end user of any demographic can easily find friends online while immersing themselves in the game.

Keywords: stress, virtual environment, socialization, critical thinking, logical thinking Cite: Arya Barsode, Soham Metha, Nilesh Shendkar, Rudra Jadhav, Mrs. Ashwini Patil, "Game Development Using Unity Game Engine for Developing Critical Thinking Skills", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13236.

Abstract: Charity is the key in assisting folks. But sometimes money handling issues arise. We've created a novel technology in trend known as blockchain for improvement. This technology ensures that all monetary transactions are ultra-secure and transparent which boost people’s trust. Our unique web application employs the blockchain to optimize charity operations. Imagine it as a quick and secure cash highway connecting willing donors to needy recipients. This boosts confidence and addresses concerns like added fees and sluggish procedures common on conventional donation platforms. Consequently, charities become more efficient and benefit everyone. The key concepts in the project include Consensus algorithm, Hashing algorithm, Key Cryptography. Consensus algorithm gives you the assurance that all the nodes in a blockchain agree on a single, valid transaction history. Hashing algorithm provides a mechanism to convert a given data into fixed size, it has unique hash code for data integrity verification. SHA-256(Secure Hash Algorithm 256-bit) is the most widely used in blockchain technology. Blockchain era guarantees that each one of the transactions are recorded and cannot be altered which results in decreasing the hazard of fraud or misuse of funds. This builds trust among donors in understanding that their contributions are getting used for their meant purpose. By putting off intermediaries and streamlining the donation system. Blockchain reduces administrative expenses for charities. In this manner, more of the donated cash will directly go to the needy once. This will make charitable efforts more impactful. Keywords: Blockchain, Cryptography, Consensus algorithm, Hashing algorithm, Transparency. Cite: Subodh Pisal, Arya Kulkarni, Vaishnavi Karpe, Shreyas Pardeshi, Mrs.Sairabi Mujawar, "Assurance of Transparency In Charity Using Blockchain", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13237.

Abstract: Agri-Smart Solutions is an all-inclusive software program created to improve and optimise the effectiveness of contemporary farming methods. By offering a centralized platform that integrates numerous aspects of farm management, such as crop production, maintaining livestock, and financial tracking, this initiative seeks to meet the varied needs of farmers. This app maintains the database of the farmers information like ,Name, Email, Mobile Number, Farm Area, Farm Location, Password and then they have to choose Crop, City, Market and Soil for registration With the help of this app Farmers can be able to analyze the data of the market and they can be able to decide which crop they have to harvest at this moment to make more profit .It helps farmers to store their available stock data in the app itself .It will show the care for different crops .also it will show the weather forecast for the upcoming days so on that basis farmer can decide its next sowing .It will suggest the pesticides to farmers for their crops . With the help of this product farmers are able to analyze the overall data of the market to make the right decision which helps them to earn more profit and reduce their losses, as well as stabalize market prices somewhat This software implements Java at the backend, Firebase for maintaining the database, Google map for location detection system, Google weather API for weather forecasting Android Studio for developing app.

Keywords: Agri-Smart solution, Financial Tracking ,Crop Production optimization, Profit Maximization, Market Stabalization Cite: Harshita Gade, Yash Teli, Arman Atar, Mrs. Sairabi Mujawar, "Agri-Smart Solutions using Android Application", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13238.

Keywords:  CNN, intelligent transportation systems, traffic sign detection. Cite: Prof. Ravindra Mule, Khush Marwadi, Saurabh Mapari, Prem Mohite, Rushikesh Shinde, "Deep Learning Model for Traffic Sign Detection ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13239.

Abstract: Forest fires have become one of the most serious issues. Forest fires have a significant influence on ecosystems and have a significant impact on greenhouse gas and aerosol levels in the atmosphere. Wildfires have devastated a large quantity of forest and wildlife as a result of these fires. Forest fires are caused by two major factors: global warming caused by an increase in the average temperature of the earth, and human irresponsibility. Predictions must be made to discover sections of land that have the potential to burn and lead to a large forest fire based on meteorological conditions in order to prevent forest fires. Our suggested system will focus on parameters such as temperature, humidity, and other variables that contribute to wildfires. There are a variety of fire detection algorithms available, each with its own approach to the problem.

Keywords: Training, satellites, wind speed, forestry, predictive models, decision trees,wind forecasting. Cite: Kavitha. R, Iraniyan Pandian, Kumaran. M, "PREDICTING WILDFIRES USING MACHINE LEARNING TECHNIQUES", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13240.

Abstract: This research presents a pioneering solution for contemporary challenges in Electronic Health Record (EHR) systems within modern healthcare— a Blockchain-enabled Hyper-ledger Fabric Architecture. Emphasizing security, confidentiality, and a patientcentric approach, the proposed system establishes a secure network of Peer nodes. Digital certificates facilitate individual identification, while specialized Chain codes manage complex business logic, resulting in a robust fabric architecture ensuring secure EHR storage, sharing, and exchange. This architecture transcends conventional limits, offering heightened attributes of security, transparency, immutability, interoperability, scalability, and availability. Expanding its scope, the abstract addresses broader challenges in the healthcare industry, introducing a decentralized healthcare management system. By integrating blockchain, specifically Hyper-ledger, this system empowers patients with control over health records and streamlines processes for healthcare professionals. A permissioned blockchain enhances trust and confidentiality, guided by smart contracts governing pivotal healthcare interactions. This research contributes to advancing blockchain in healthcare, marking a shift towards decentralized healthcare management. The findings underscore efficiency, security, and user-centricity, laying the groundwork for practical implementation in real-world healthcare scenarios. Cite: Srushtee kolhe, Lalit Pawar, Vaishanavi Kote, Prof. K. C. Nalavade,"Decentralized Healthcare Management System Using Blockchain and Hyper-Ledger", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13241.

Abstract: The main objective of this project is to reduce motor accidents due to consumption of alcohol by alerting the vehicle pilot regarding the consumption of the alcohol through buzzer indication and also the consumption percentage of alcohol in the 16x2 LCD Display. Also when the vehicle is committed to an accident, it will be automatically reported to the nearby police station regarding the accident event in order to file FIR and also the ambulance is automatically booked for rescue the person from an accident.

Keywords: Alcohol, LCD, accident, ambulance. Cite: Kalaivani N, Padmapriya P N, Maria Rijutha Robert, Jamuna Eshwar R,"IOT BASED ALCOHOL ALERT SYSTEM WITH GSM MODULE FOR ROAD ACCIDENTS", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13242.

Abstract: This research explores the integration of Gradient Boosting Algorithms, specifically XGBoost and LightGBM, in the context of dynamic threat landscape analysis and the development of adaptive response strategies for Intrusion Detection and Prevention Systems (IDPS). The study aims to enhance the accuracy and adaptability of IDPS by leveraging the strengths of these machine learning algorithms. The research methodology involves the comprehensive collection and curation of diverse datasets representative of contemporary cyber threats. Through dynamic threat analysis, our approach empowers IDPS to discern emerging patterns and anomalies in real-time, fostering a proactive response to potential security breaches. The core innovation lies in the incorporation of ensemble learning algorithms, which bolster the adaptability of IDPS. This adaptive framework enables effective responses to evolving threats by continuously learning and refining its detection capabilities. The proposed methodology undergoes rigorous evaluation through extensive experiments, comparing its performance against traditional methods. Initial findings showcase a substantial enhancement in both precision and recall metrics, underscoring the practical efficacy of our adaptive approach. As cyber threats become increasingly sophisticated, the proposed approach offers a resilient defense mechanism, capable of intelligently responding to a diverse array of threats. This study stands as a beacon in the ongoing pursuit of fortified cybersecurity infrastructures, with implications for the broader landscape of digital security and threat mitigation.

Keywords: Cybersecurity, IDPS, Machine Learning, Real-time Threat Detection, Network Security, XGBoost Algorithm, LightGBM Algorithm. Cite: Mansoor Farooq, Mubashir Hassan Khan, Rafi A Khan,"Dynamic Threat Landscape Analysis and Adaptive Response Strategies for Intrusion Detection and Prevention Systems Using Advance Gradient Boosting Algorithms", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13243.

Abstract: Medicinal plants have been utilized for centuries in traditional medicine Known as Ayurveda. However, manual identification and classification of these plants are time-consuming and error-prone tasks. In this study, we introduce "MediHerb Insight," an automated system using deep learning techniques for the identification and classification of medicinal herbs. Through the implementation of a convolutional neural networks (CNN), specifically Xception Architecture, our model demonstrates impressive accuracy in classifying medicinal plant species based on leaf images. Additionally, we present a user-friendly web application that allows users to upload leaf images for instant classification. This project holds significance in advancing research in botany, providing a valuable tool for plant species identification and analysis.

Keywords: Medicinal Plants, Classification, Automated system, Deep learning techniques, Convolutional neural network (CNN),Xception architecture,Plant species identification. Cite: Dr. Bhanu Prakash Battula, Alaparthi Sneha Madhuri, Kottamasu Naga Vinaya Sree, Patalam Asfiya, Kollipara Naga Sai Varshitha, "MEDIHERB INSIGHT", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13244.

Abstract: Cloud computing has revolutionized the way data is stored, processed and accessed, providing unprecedented scalability and flexibility to businesses and individuals alike. However, the inherent complexity and distributed nature of cloud environments also introduce new challenges for digital forensics investigations. This paper explores the emerging field of cloud forensic techniques, methodologies and tools tailored to investigate incidents in cloud environments. By reviewing existing literature and methodologies, we identify key challenges such as data privacy, evidence preservation and chain of custody maintenance. We also propose a framework for conducting cloud forensic investigations, integrating traditional forensic principles with cloud-specific considerations. Through case studies and experiments, we demonstrate the effectiveness and limitations of current cloud forensic approaches, paving the way for future research and development in this critical area of cybersecurity. Ultimately, this paper contributes to the advancement of knowledge in cloud forensic research by providing a comprehensive understanding of the challenges, methodologies and tools necessary to investigate incidents within cloud computing environments. By addressing these challenges and fostering interdisciplinary collaboration, we aim to enhance the effectiveness and reliability of cloud forensic investigations, thereby ensuring the security and trustworthiness of cloud-based services in an increasingly digital world. Keywords: Digital forensic, Cloud forensic, Cloud computing, Cybersecurity. Cite: Juber Mirza, Manish Sharma, Rupali Dave,"An Organized Retrospect of Cloud Forensic", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13245.

Abstract: Real-time operating systems (RTOS) play a pivotal role in facilitating efficient multitasking and resource management in embedded systems. This paper delves into the intricacies of Semaphore and Mutex synchronization techniques within the FreeRTOS framework on Arduino microcontrollers, focusing on their application in synchronizing tasks for LED control. Semaphore serves as a signalling mechanism, allowing tasks to coordinate and synchronize their actions, while Mutex ensures exclusive access to shared resources, mitigating the risks of data corruption and race conditions. Through detailed descriptions, comprehensive implementation codes, and rigorous real-time experimentation, it showcases the robustness and effectiveness of Semaphore and Mutex in ensuring the seamless operation of real-time systems on resource-constrained platforms like Arduino. This study contributes valuable insights into the practical utilization of synchronization primitives in embedded systems, paving the way for enhanced system reliability and performance.

Keywords: Real-time operating systems, Semaphore, Mutex, FreeRTOS, Arduino, Embedded systems, Multitasking, Resource management, Synchronization, Task coordination. Cite: Sakthivel V, Sreeja P, "Synchronization Techniques in Real-Time Operating Systems: Implementation and Evaluation on Arduino with FreeRTOS", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13246.

Abstract: CodeExPro is an innovative web-based coding platform designed to elevate the collaborative coding experience while addressing crucial gaps in the current development landscape. This versatile tool seamlessly integrates a feature-rich Integrated Development Environment (IDE), an Intelligent Code Review system, and an advanced Learning Platform. The IDE empowers developers with a real-time collaborative coding environment, promoting efficiency and code quality. The Intelligent Code Review system ensures adherence to best practices and coding standards, fostering continuous improvement. The Learning Platform, a cornerstone of CodeExPro, goes beyond traditional coding platforms by offering a comprehensive resource hub. Encompassing tutorials, language references, and project-based learning, it provides a tailored educational experience. A specialized Interview Preparation Module equips users with the skills needed for technical job interviews, offering algorithmic challenges, and industry-specific insights. CodeExPro's architecture ensures scalability and security, utilizing containerization and orchestration for optimal performance. With a user-friendly interface, personalized learning paths, and a commitment to collaboration, CodeExPro redefines the coding journey by merging development, learning, and preparation seamlessly. This project is poised to enhance coding proficiency, accelerate development cycles, and cultivate a collaborative coding culture.

Keywords: Intelligent Code Review, Web-based coding platform, Learning Platform, Interview Preparation Cite: Sanika R. Sonawane, Sonal V. Gawale, Harsh R. Punjabi, Vaishnavi S. Patil, Prof. Sunil Kale, "CodeExPro – The Realtime Coding Mastery ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13247.

Abstract: One Important application of natural language processing (NLP) is the recognition of emotions. The main objective of this project is to develop a bot that could talk based on the current emotional situation of the user. This bot can detect the emotion of the user by fetching their facial expression and analysing them based on previously trained models using a dataset. Usually, the chatbots or any other bots doesn’t consider the user emotion in any ways. If they would like to consider the emotion the bot would just ask the user emotion then the user should specify the emotion, and this may manipulate the original emotion of the user. In this project the emotion is captured from the facial expression of the user, and the user could communicate to the system in any language (mentioned in the project), and the user could expect the response in the same language in different slangs.

Keywords: CNN, NLP, NLTK, Django, Speech Recognition, Speech Synthesis. Cite: Dr. O. Aruna, Medikondu Mukesh, Neelam Sai Satwik, Mallela Chaitanya Krishna, Muppuri Naga Vamsi Kiran,"Enhanced AI Bot with Facial Emotion Detection", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13248.

Abstract: This project aims to help the medical industry. The medical industry strives to improve the delivery of key device information through the package to patients Distributor and end users. To achieve this goal Indications For Use and user manuals have been major tools and are necessary components required in Medical Package according to Food and Drug Administration (FDA) standards. Historically there have been challenges caused by packaging information materials aspects such as manufacturing, transportation and translation. The need for extensive packaging and labelling has ultimately contributed to increased cost of manufacturing for devices. It is also important to know what information a customer needs and recognize that the safety of the consumer is of the utmost importance. The development and implementation of new technologies and procedures in a medical industry may be complicated and slow but it is a necessity to improve safety and provide maximum comfort to the end user. The existing supply chain for the pharmaceutical industry is obsolete and lacks clear visibility over the entire system. Moreover, the circulation of counterfeit medicine in the market has increased over the years. According to the WHO report, around 10.5% of the medicinal medicine in lower / middle income countries are fake and such medicine may pose serious threats to public health, sometimes leading to death. In this paper, we propose a QR Code -based model to track the movement of medicine from the industry to the users and to minimize the chances of a medicine being counter feit. Barcodes and Two Dimensional code have been used in the medical device industry for tracking purposes; however, the focus of this thesis was using QR codes in medical device package without IFU, user guides and manuals to enhance patient safety, reduce cost and enhance the breadth of information available to the ultimate users. Access to the information was achieved by just taking a picture or scanning the QR code which was printed on a medical device package. This thesis also assesses the feasibility of implementing the QR code technology on medical device package and a case study is conducted that elaborates on the cost analysis

Keywords: QRCode, AndroidApp, Medicine, Android, Company, Dealer, Distributor, counterfeit. Cite: Prof. N.B. Madke, Sakshi Fuldeore, Apurva Aher, Aditya Bairagi, Gaurav Arsule, "Medicine Traceability using QR Code", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13249.

Abstract: E-learning stands as an endless fountain of knowledge, providing a dynamic online haven that satisfies the intellectual curiosity of learners across any age and place. In contrast to traditional learning, E-learning solutions empower individuals with swift access to precise information the vast sea of knowledge. As information accelerates and time becomes scarce, the landscape of learning undergoes a revolutionary shift. This research paper introduces an avant-garde E-learning management system woven with a web services-oriented framework and Service-Oriented Architecture (SOA). Adapting seamlessly to various browsers, this system integrates fully with diverse databases. Highlighting key features such as Content Management, Content Protection, Learning Management, Delivery Management, Evaluation Management, Access Control, and more, the system emerges as a unified platform finely tuned for contemporary E-learning demands and efficient management.

Keywords: Online Education, Distance Learning, Web Services, Services-oriented Architectures Cite: Prof. Sayema Kausar, Khushbu Shah, Sofiya Sheikh, Umair Ansari, "E – Learaning Management System", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13250.

Abstract: OmniSuite AI is a comprehensive suite of AI-powered tools for text, image, and PDF analysis. It includes a variety of features that can be used for a wide range of tasks, including image generation. OmniSuite AI’s text generation capabilities can be used for a variety of tasks, such as: Cite: Shashank R. Pathak, Yash S. Tamkhane, Neil D. Narse, Mayuresh J. Patil, Prof. Sunil Kale, "OmniSuite - An AI for Text Generation, Image Generation, and Pdf Analysis", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13251.

Abstract: Diabetic Retinopathy (DR) is a serious consequence of diabetes mellitus that can result in irreversible vision loss if not discovered and treated promptly. Traditional manual diagnosis by ophthalmologists is labor-intensive, time-consuming, and error-prone. In recent years, deep learning approaches, particularly Convolutional Neural Networks (CNNs) like Xception, EfficientNet, and DenseNet, have demonstrated extraordinary efficacy in medical image analysis, including DR detection and categorization. This project covers and analyzes cutting-edge approaches for detecting and categorizing DR in color fundus pictures using deep learning techniques. These technologies show great promise for automating and streamlining the DR screening process, thereby lowering costs and increasing efficiency in healthcare delivery. The necessity of regular retina screening for diabetic people cannot be emphasized, as the risk of DR grows as diabetes progresses. Early diagnosis of DR lesions, such as microaneurysms, hemorrhages, and exudates, is critical for timely treatments and preventing vision loss. Computer-aided diagnosis systems that use deep learning algorithms have the potential to transform DR screening by giving accurate and fast assessments, allowing for rapid treatment and lowering the risk of blindness among diabetics.

Keywords: Xception, Densenet, Efficientnet, microaneurysms, hemorrhages Cite: Dr.V. Ramachandran, Akhila Patchala, Lakshmi Sowjanya Potla,Phinehas Prakash Jupudi, Rohith Sai Obilisetty, "Diabetic Retinopathy Detection using Deep Learning Techniques", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13252.

Abstract: Adders and Subtractors are fundamental components of digital electronics, essential in nearly every technology. Mastering these elements is crucial for proficiency in digital electronics. This paper explores the design thinking process to create efficient learning resources for Adders and Subtractors. We utilized the five phases of design thinking—empathize, define, ideate, prototype, and test—to develop a user-centric prototype. Our interactive website provides access to various materials and simulations, featuring a user-friendly interface for seamless navigation. Users can build their own logic circuits, promoting hands-on learning, exploration, and innovation in digital logic design. The 2D game, built using Unity with C# scripts, enhances conventional teaching methods by addressing the deficit of hands-on practice. Integrating project-based learning (PBL) ensured continuous feedback and real-world applicability, encouraging deep engagement with the subject matter. PBL fosters active learning, critical thinking, and problem-solving skills, and its collaborative nature enhances teamwork and communication. Our project not only imparts technical knowledge but also prepares students for real-world challenges, making the learning experience comprehensive, engaging, and effective. This platform increases intrinsic motivation, enabling students to stay focused and retain information longer. PBL provided the elements for the learning process whereas Design thinking enhanced the creative process.

Keywords: Design thinking, Adders, Subtractors, Digital electronics, Digital learning, eLearning, Gamification. JEET Category—Choose one: Practice