Abstract: The increasing demand for low power mobile computing and consumer electronics products has refocused VLSI design in the last two decades on lowering power and increasing energy efficiency. Power reduction is treated at all design levels of VLSI chips. From the architecture through block and logic levels, down to gate level circuit and physical implementation, one of the major dynamic power consumers in the system clock signal, typically responsible for up to 50% of the total dynamic power consumption. Clock network design is a delicate procedure and is therefore done in a very conservative manner under worst case assumptions. It incorporates many diverse aspects such as selection of sequential elements, controlling the clock skew, the decision of the topology and physical implementation of the clock distribution network.

Keywords: Data Driven, Logic Gates, Flip-Flops, Clock Gating, AND Clock Gating, NOR Clock Gating, Latch based Clock Gating

Abstract: Virtualization is its need to be modest and not influence the performance. . Virtualization is a rising innovation in the ongoing processing universes and has turned into a stage for the execution of utility registering (for example distributed computing) and the rising Virtual Private Networks. It incorporates and coordinate IT assets there by lessening expenses and vitality utilization. Virtualization has incredibly affected the utilization of IT as a way to helping organizations accomplish their business objectives. The intensity of programming characterized models liberates us from a considerable lot of the physical limitations of equipment and enables us to enhance every one of the assets we have available to us, utilizing IT significantly more prudent, versatile, and adaptable. The advantages managed through virtualization are incredible to such an extent that its ubiquity has now extended from its underlying server executions to capacity and systems administration frameworks. Frequently littler organizations are obliged by limited assets. They esteem arrangements that work to decrease costs and improve efficiency. Like the advantages offered through server virtualization, programming characterized capacity is intended to advance the utilization of assets; explicitly capacity assets. Virtualized stockpiling helps organizations incredibly decrease their equipment and asset costs, while improving unwavering quality, dexterity, and the capacity to scale their stockpiling. Respondents to the investigation announced that 35% of virtual stockpiling adopters diminished their general IT costs and 33% decreased their number of SAN (Storage Area Network) gadgets. Making unused space accessible for different applications enabled them to unite onto less assets. Capacity the board improved also, with 39% announcing that they had the option to decrease their time committed to SAN gadget the board. In a similar review, 49% of the associations announced a decrease in application vacation. Keywords: Virtualization, SAN, Storage, Performance

Abstract: Data driven gating is causing area and power overheads that must be considered. To reduce the overhead, it is proposed to group several FFs to be driven by the same clock signal, generated by bring the enabling signals of the individual FFs. This may however, lower the disabling effectiveness. In a recent paper, a model for data-driven gating is developed based on the toggling activity of the constituent FFs. The optimal fan-out of a clock gate yielding maximal power savings is derived based on the average toggling statistics of the individual FFs, process technology, and cell library in use. Data driven clock gating is a popular technique used in many synchronous circuits for reducing dynamic power dissipation. When a logic unit is clock, its underlying sequential elements receive the clock signal regardless of whether they will toggle in the next cycle. In this flip-flops are grouped so that they share a common clock enabling signal to reduce the hardware overhead and power consumption.

Keywords: Data Driven, Logic Gates, Flip-Flops, Clock Gating, AND Clock Gating

Abstract: So far we are controlling many electrical devices at homes, colleges, offices, institutions manually. To control all electrical devices we need a lot of “MAN POWER”. If manpower increases maintenance cost also rises. This doesn’t cause any benefit to the college. So to avoid these kinds of drawbacks we need some wireless controlling systems. This communication system can be used in all fields like industry, domestic purposes like home appliances controlling using sensor or voice command as a remote. This system can be used by elder or disable persons who are unable to go to the switchboard to control the devices. Remote operation is using smart phones or devices with Android operating system, upon a GUI (Graphical User Interface) based voice command. This Arduino based voice controlled college appliances using Wi-Fi uses the android application that sends voice command to the devices through the Wi-Fi. This system reduces human labour, effort, time and errors due to human negligence. We can control all loads at a time from one place without connecting any physical wire between loads and control room.

Keywords: Arduino UNO, Internet of Thing, Home Automation, Arduino, Voice Recognition, Wi-Fi Module, Android Application

Abstract: Naïve Bayes is a popular supervised learning method widely used for text classification and sentiment analysis. There has been a rise of aggressive troll comments in the social networking sites which leads to online harassment and causes distressful online experiences. This paper uses  Naïve Bayes classifier using Bag of Words on ‘Tweets dataset for Detection of Cyber-Trolls’ (dataset taken from Kaggle) and aims to improve baseline model by adding cumulative changes and studying their impact on the performance of the model.

Keywords: Naïve Bayes, classification, improvements, accuracy.

Abstract: The ever increasing population along with frequent weather changes is exposing humans to a greater number of problems. This attributes to the increase in the levels of risk. The culture of risk prevention and management is increasingly widespread – also due to the huge media coverage of such phenomena – but cities are complex systems where strict planning is ineffective. Despite the efforts to minimize the risk, disasters occur all the time: in order to have a good disaster response capacity, the need of an adequate awareness of the present and upcoming situation is clear. Current trends in emergency management are going in the direction of structured data collection as a tool to improve reaction time and to allow analyses through geoinformation and geostatistics. Such a problem emerged worldwide in huge events (e.g. the Haiti Earthquake in 2010), but the state of the art lacks solutions focused on communication and designed with the aim of satisfying these requirements. The IoT project tackles this problem. Although we propose a rather general solution, we consider as a reference case study flood emergencies in an urban setting, focusing on the city of Bangalore. We target the scenario of floods as they are fairly frequent in Indian cities, whilst at the same time being difficult to manage. Our project is concerned with exchange and availability of real time information among emergency coordinators: our solution is able to help them in analyzing data retrieved from various sources and identifying problems in order to react in a timely manner. We focus on both integration and visualization: we integrate real time data from different sources (e.g. a mobile app handed out to rescuers) and visualize them in a clear and coherent map developed with web technologies, so that it is possible to immediately answer questions such as “which are the most critical areas?” or “where are the rescue teams?”. 

Keywords: Internet of things, LoRaWAN, RFID, Rest API, Flask framework, OpenStreet Maps

Abstract: Geographical science survey says as lots of countries (Bihar & Patna, Jammu Kashmir etc) unable to bulid software industries to the geographical map due to governmental scarcity of management ability to the technical education, governmental scarcity of technical ability to the technical education . to overcome the above problems , we have selected some talented brain  from the listed countries “Kolkata, English Bazar and Delhi” and approved green color mark countries for IT industries to the geographical map due outstanding performance to the technical background. The success rate of software system depends upon the following: requirements elicitation technique, modeling, analysis, verification, validation &testing. In literature, we have identified different types of Software Testing Techniques like, black box techniques, white box techniques, and gray box techniques; and choosing one of them is not an easy task according to need/criteria of the software projects. Therefore, in order to address this issue, we present a fuzzy based approach for the selection of Software Testing Techniques. Finally, the utilization of the proposed approach is demonstrated with the help of an example.

Keywords: Requirement Prioritization, Fuzzy Set theory, Decision Making Process, S/W Testing Technique

Abstract: Improving the tracking performance of targets in motion using low cost Wireless Sensor Network (WSN) does not only require tracking randomly but also demands specifivity in the actual spot where there is either rupture or leak on the water pipeline network. This paper tends to develop a water pipeline test bed which can be experimentally used to simulate and detect leakages in a pipeline system in a non-invasive manner using valves and acceleration-based wireless sensor nodes. The research test bed can be used to carry out some activities which include: estimating rupture points using trilateration algorithm, measurement of network throughput, and evaluation of communication link quality, effective energy management and network security of a water pipeline network.

Keywords: WSN; Wireless Sensor Network; Target Tracking; Trilateration Algorithm; Leakages; Network Throughput

Abstract: In this paper we provide a multi-acting interactive touch sensing which overcomes many limitations of the existing system. Normally, many people interact with the projected screen with the help of external devices like mouse, keyboard and remote, etc. But, in this paper, we are providing you the various touch features without the help of these external devices. We are providing a wide range facility within less cost of the product as well as low maintenance costs. We can work on almost any surface including non-flat surfaces like canvas, curtains, etc.

Keywords: Touch Surface (Whiteboard/ Canvas), Ir Camera Device, Projector, Wearable Gloves

Abstract: This paper explores how ultrasonic sensors can be used to measure fuel volume in diesel locomotives. We will look at a real-world example in which we will see how the sensor can be installed. We will also see how it is calibrated to give accurate results. Keywords: Ultrasonic Sensors, Diesel Locomotives, IoT, Cloud, Microcontroller

Abstract: This paper focuses on the study of combination of two modern teaching-learning methods for improvement of students’ knowledge and wisdom level in different educational courses. This study is proposed to calculate the effect of various teaching methodologies in education field. The combined methods are based on Bloom’s Taxonomy for Educational Objectives and B-learning. The paper shows study regarding different methods from traditional to modern one. There comparative study shows how improvement in current methods can be achieved. This research work explores available modern methods or resources other than traditional. In this research, impact of combination of Blooms Taxonomy and B-learning is studied and analyze whether it can enhance the student’s educational performance. The purpose of this paper is to study a set of core knowledge teaching-learning objectives for modern ethics education. The further aim of this work is to explore the opinion of students about teaching methodologies they found as the most interesting and best.

Keywords: Bloom’s Digital Taxonomy, B-learning, Education, Traditional and Modern Methods, Teaching and Learning Methods

Abstract: Link reliability is a major problem in wireless communication. We have proposed a link expiration time estimation scheme which finds out estimation of LET for the mobile nodes having same distance with the source node in a definite cell and LET is compared for the two scenarios and actual LET is evaluated. Mobile nodes get combined and start forwarding of packets on the communication path. From the two calculated link expiration time least one will be treated as the actual expiration time. QualNet simulator with dimension 1500x1500 is used. Simulation provide transmissions for data packets of sender in reliable manner and increase the efficiency of scenario, such as the delivery ratio, average delay, average jitter, time spent in transmitting and receiving packets and the total number packets received resulting in maximum tendency of ZRP for number of packets received and AODV for various MAC layers parameters.

Keywords: LET (link expiration time); Packet Delivery Ratio; Average Delay and average jitter, QualNet simulator; AODV, MAC and ZRP routing protocols

Abstract: Skin segmentation aims to locate skin regions in an input image. An algorithm for segmenting skin regions and non-skin regions in color images using color space and edge information has been used here for face detection. We propose a face detection method based upon the edge and skin tone information of the input color image.  A pre-processing method uses color segmentation to achieve high performance in face detection. First, it consists of skin color information collection and segmentation. After skin color detection next step is to finding face among skin color detected region by using the golden ratio of face i.e. ratio of width and height of the human face. Here the first color image from input color space to RGB color space and then transferred into YCbCr and after this transformation, we have applied edge detection method to separate skin region and non-skin region. Here we have used two edge detection operators Canny and Sobel to find which operators detect better edges and we found that the performance of canny edge detection operator is much better than Sobel.

Keywords: Skin Segmentation, Canny Edge and Sobel Edge Detection, Color Model, the Golden Ratio of Face=1.5

Keywords: Metallography, Machine Learning, Microscopy, Metallurgy

Keywords: Fake news, Rumours, Natural language processing, Data mining, Text mining, Classification, Machine learning, Deep learning

Keywords: Ultrasonic sensors, Distance measurement, Obstacle detection, HC-SR04, HC-SR04P, US42V2, JSN-SR04T, US-100

Abstract: Storage Area Network and Cloud Computing are the domains which deal with various storage related computations that lead to better storage management. Storage management techniques for homogeneous and heterogeneous systems aredifferent. Much heterogeneous system uses offloading of various logical parameters and also provides intermediates such as interface engines in case of luster computing to achieve better system performance. while using such system lead  to problems such as offloading of resources, large compute time, synchronization required between server and storage devices, large waiting time required for  I/O operations, offloading large amount of data and various computational function etc. there are various approaches have been proposed to solve as system base or resource base application. Active storages etc. however, upgrading the system performance often required in existing solutions. The system performance can be improved by increasing speedup, decreasing latency period, etc. To achieve this we have come with a comparative study of tradeoff between. 1) Offloading of data and 2) Offloading of compute function This will lead in better decision making in order to achieve increased system performance. The tradeoff between these two deals with throughput, resource complexities, I/O time and bandwidth etc. The further advancements can be done in this field by studying more number of parameters and comparing them with respect to offloading of data and offloading of compute functions.

Keywords: Active storages, compute, homogeneous, heterogeneous, interface engine, luster computing, offloading

Abstract: Reviews are considered to be the most important text message with respect to business purpose. Today almost all the people who are working online give their reviews on various issues. The reviews can be related to movie, product, political party, about any organization and many more. Through this reviews one can come to know the performance of that particular issue. Due to this collection of large amount of reviews, there is a technological advancement has also been done. This advancement is rigorously needed because it is not possible to analyze this large amount of reviews without any technological improvement. In technology world this reviews are known as sentiments and it comes under the category of natural language processing. Machine learning algorithms are widely used for sentiment analysis, so this paper will cover the detail explanation of the sentiment analysis with the algorithm which is used to perform analysis on the sentiments.  

Keywords: Sentiment, machine learning, classifiers, accuracy, Naïve Bayes, SVM

Abstract: Advanced positioning technology has led to the development of delivery services of automatic advertisements and notifications to the user based on his/her location. For indoor environments, Notification environments developed using beacons are preferred. A variety of applications from shopping malls and museums, prefer Indoor positioning systems using beacons to subject monitoring and tracking.The usability and reliability of these positioning systems are based on their accuracy, cost and the ease of deployment. In an indoor space, Beacons are installed by users, to construct the notification environment. To make setting of notification positions easier, the beacon installed is linked to the notification content. Using this system the customer as time is saved as customer gets notifications on his Smartphone when they pass through any malls, store etc. When the customer finds a notification they react to that and reach to that space. Customer enters into the space and gets more notifications about the space which may help the customer. Although, the Global Positioning System (GPS) is an accurate solution for outdoor space, it cannot be used in the indoor space. Keywords: Beacon, Bluetooth Low Energy, Location Data, Indoor Positioning, Diffusion, RFID

Keywords: Information Technology, Teaching-learning process, Communication, Internet, Computer

Abstract: The advancement in the mobile devices, wireless and web technologies given rise to the new application that will make the voting process very easy and efficient. The E-voting promises the possibility of convenient, easy and safe way to capture and count the votes in an election. This research project provides the specification and requirements for E-Voting using an Android platform. The e-voting means the voting process in election by using electronic device. The android platform is used to develop an E-voting application. In the proposed method the concept of e-voting application is created using android. The authentication is done through the face recognition through the mobile camera application. In this method the voter has to register using the application and the face recognition will be provided once the registration is successful. On scanning the face, the voter will be asked for the password. Once the authentication is done the voter is made to proceed with the voting process. The main purpose of implementing this concept is to increase the voting percentage. So that the voter is not required to visit the voting center to cast their vote and also to avoid fake voting.

Keywords: Privacy, E-voting, smart-pone, face detection, mobile camera, One Time Password

Abstract: The tumor can be detected by segmentation of brain Magnetic Resonance Image (MRI). In the case of suspected brain tumor, the exact location and size of tumor can be determined by radiologist. In this work tumor is detected by various stages like pre-processing, segmentation, feature extraction and classifier. The approach of otsu segmentation is applied for the segmentation. Tumor feature is extracted by Discrete Wavelet Transform (DWT) and Gray Level Co-occurrence Matrix (GLCM). Classification is done by using hidden markov model and performance parameters are measured.

Keywords: HMM, Otsu’s segmentation, GLCM

Abstract: The network fails due to the depletion of energy in the central ring of nodes around the sink node, leaving the sink node segmented from the remaining viable network nodes. Due  to this, this work proposes detection and prevention of black hole attack in WSN network. In rechargeable Wireless Sensor Networks (WSNs), a key concern is the max flow or data rate at one or more sinks.Black hole attack can cause decrease in energy as well as the network lifetime. Tabu Search is a meta-heuristic that guides a local heuristic search procedure to explore the solution space beyond local optimality. One of the main components of Tabu Search is its use of adaptive memory, which creates a more flexible search behaviour.

Keywords: Black Hole Attack, Link Failure In Wsn, Data Routing, Wireless Sensor Networks Etc