VOLUME 9, ISSUE 8, AUGUST 2020

Abstract: While it is true that ICT has a positive impact on health service delivery, the United Nations agencies and global health authorities, point out challenges with eHealth implementations and impact evidence. These are often poorly reported thus limiting stakeholder’s visibility of the competing investment initiatives. Using theory as a ‘lens’ for studying eHealth impact assessment with the emphasis on healthcare service delivery, provides a roadmap for the phenomenon key factors and their interactions. The use of theories, helps in explaining eHealth adoption, implementation processes and their consequent influences on the organization, social and the environment. The paper reviewed related theories and research specific to the field of eHealth impact assessment through multilevel approach at the organization level. The review was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and also on the Population, Intervention, Comparison, Outcome, and Study Design (PICOS) method. In conclusion, the resultant eHealth impact assessment incorporated various components from different theories, models and frameworks to underpin the outcome framework.

Keywords: eHealth, eHealth impact, impact assessment, healthcare service delivery, theory

Abstract: The third layer of the Open System Interconnect (OSI) reference model is the Network Layer. The Network layer handles traffic, addressing and accounting. The network Layer controls the operation of the subnet, deciding which physical path the data should take based on the network conditions, priority of service and other factors. It translates logical addresses, or names into physical address. A router is a layer 3 device and is a networking device that forwards data packets between computer networks. A network is configured with routing protocols-static or dynamic routing because these routing protocols define/specify how the communication packets are forwarded and the route selection process (optimum route selection). In this paper we have considered a network topology in which a certain part of the network is configured with OSPF protocol and enclosed within area 0 and the other part, with routers configured with RIP, version 2. Route redistribution is carried out at the boundary routers of the two sections of the network. Since, OSPF and RIP v2 are entirely different routing protocols; route redistribution is done on the boundary routers belonging to both the sections. Route redistribution [1] allows routes from one routing protocol to be advertised into another routing protocol. Finally, in this paper we configure Access Control List (ACL) on the network. ACL also called Access-List can be configured for all routed network protocols to filter the packets of those protocols as the packets pass through a router. Main function of ACL is to filter network traffic by controlling whether router packets are forwarded or blocked at the router’s interfaces and also provide security in the network on which it is configured.

Keywords: Open System Interconnect (OSI), reference model, traffic, addressing and accounting, Access Control List (ACL), packets are forwarded or blocked at the router’s interfaces and also provide security in the network.

Abstract: In the United States, there are roughly 291,000 people living with a spinal cord injury as of 2019 [1]. Of these people, over 66% of them suffer from either incomplete or complete tetraplegia [1]. Tetraplegia, or more commonly known quadriplegia, is a term used to describe the inability to move or feel both the upper and lower parts of one’s body, such as the arms, chests, legs, and feet [2] [3]. Adjusting to a new life for people who have lost the ability of both their arms and legs can be very difficult [4]. One of the activities lost from tetraplegia is the ability to drive a vehicle. In this work, we have considered brainwave activity alongside pose tracking software to control an electric motor and to simulate steering a vehicle. Controlling an electric motor represents the electric power steering system. Electric power steering systems work by determining how much torque needs to be input into a steering wheel to alter the direction a vehicle [5]. By combining two distinctive trends of total brainwave activity and the direction that a subject’s head is facing, we study a potential solution to ease the lives of disabled Americans.

Keywords: Electroencephalogram, brainwave, driver monitoring, electric power steering, mind, tetraplegia, pose tracking.

Abstract: Twitter, Facebook are few prominent Social media platforms to share information. On the other hand, the Internet being an open and free source forum is attracted by news media which have utilized online platforms to publish news articles. An attempt to examine the trending topics in Twitter, Facebook and News Media is the focus of our study. In this paper, we propose a Recommendation System based on Soci- Similarity based on trending topics shared by people in different social media. Compare the effect of trending topics in Media Focus and User Interaction of people. On the predefined days we examine the trending topics of similarity by applying K – Means Clustering to cluster the topics. And we further measure Media Focus and User Interaction using the performance metrics such as Precision, Recall and F1-Score.

Keywords: Recommendation System, Similarity, K-Means Clustering.

Abstract: The analysis of the text content in emails, blogs, tweets, forums and other forms of textual communication constitutes what we call text analytics. Text analytics is applicable to most industries: it can help analyse millions of emails; you can analyse customers’ comments and questions in forums; you can perform sentiment analysis using text analytics by measuring positive or negative perceptions of a company, brand, or product. Text Analytics has also been called text mining, and is a subcategory of the Natural Language Processing (NLP) field, which is one of the founding branches of Artificial Intelligence, back in the 1950s, when an interest in understanding text originally developed. Currently Text Analytics is often considered as the next step in Big Data analysis. Text Analytics has a number of subdivisions: Information Extraction, Named Entity Recognition, Semantic Web annotated domain’s representation, and many more. This work provides a detailed study on text analytics based on different type of deep learning techniques.

Keywords: Big Data Analysis, Information Extraction, Text Analytics, Deep Learning etc.

Abstract: Energy Meters in India have dominantly been electrochemical in nature but are gradually being replaced by more sophisticated and accurate digital and electronic meters. A high percentage of electricity revenue is lost to power theft, incorrect meter reading and billing, and reluctance of consumers towards paying electricity bills on time. Considerable amount of revenue losses can be reduced by using Prepaid Energy Meters. A Prepaid energy meter enables power utilities to collect energy bills from the consumers prior to the usage of power by delivering only as much as what has been paid for. The proposed prepaid meter is implemented in a software model and MATLAB has been used for simulation.

Keywords: MATLAB, Arduino, energy meters

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 phone, Face detection, Mobile Camera, One Time Password, Voter, etc

Abstract: Users can transfer their data to the cloud remotely with cloud storage services, and conduct data sharing with others. Remote data integrity auditing is proposed to ensure that data stored in the cloud is essential. Some can cloud storage systems, such as the electronic health records system, can contain some confidential information in the cloud file When sharing a cloud file, the confidential information will not be revealed to anyone. Encrypting the entire shared file will conceal confidential information, but would make this shared file impossible for anyone to use. Whether to know data sharing in remote data integrity auditing with confidential information shielding has not been discussed up to now. To fix this issue, we are proposing a remote data integrity auditing scheme that performs data sharing with confidential hiding information in this project. Under this scheme, a sanitizer is used to sanitize the data blocks that refer to the file's confidential information and convert the signatures of these data blocks into valid ones for the sanitized file.Such signatures are used for checking the validity of the sanitized file during the validity auditing process. As a result, our scheme allows the file stored in the cloud to be exchanged and used by others provided that the confidential information is secret, while remote data integrity audits can still be conducted effectively

Keywords: Big Data, Proxy Re-encryption, Storage Path, Cloud Storage, Sensitive Data.

Abstract: The importance of digital image processing is crucial in medical field. There are several platforms where image processing is playing a key element. One of the main are of application is dentistry. In this dental radiograph are more useful for dentist to evaluate and or examine patient tooth related abnormalities. The proposed work is carried out to enhance the quality of dental radiographs. Here we are focusing on Intraoral Periapical IOPA films. Proposed system is based on image processing. In this paper we are focusing the dentistry related imaging techniques and proposed system to enhance conventional film quality. Dental imaging also a broad area of research work in medical field. In dentistry the work starts from conventional x-ray film-based technique (2D imaging) to recently digital imaging techniques (3D imaging).  As no doubt digital techniques are giving more quality and providing high resolution digital images like computed tomography, MRI, CBCT etc to regularize treatment. We are focusing on conventional method which is again preferable by dentist in remote areas and villages. The aim of proposed system is to enhance the quality of film up to a certain proper diagnose level at same end. Keywords: Dentistry, Dental Radiographs, Patient Tooth, Intraoral Periapical, Image processing.

Abstract: E-commerce websites are being used in our day-to-day life.  Users’ sensitive data are being stored and shared in these websites and its databases.  The project aims at encoding data of the user and showing partial information to the person who manages them.  A viable mechanism to protect sensitive publications and subscriptions is to encode the data before it is disseminated through the brokers. The encoding of data reduces spam and also encodes user’s sensitive information. Base 64 encoding scheme is used to encode the users’ information from untrusted entities or intruders or third parties. Keywords: Encoding scheme, E-commerce websites, Spam, Intruders.

Abstract: Conversation of Electricity is a must and it can be done by start predicting the electricity consumption.  The electricity consumption is higher than the required amount. Existing system uses mysql data for datasets and mathematical calculation for the prediction process which takes longer time for processing and prediction through mathematical calculations takes more time and accuracy is lesser. The above problem can be resolved by using big data processing for large collection of data and with that data it is been used for training the machine using the random forest algorithm for predicting the electricity consumption. Through that we enter the application’s usage time accordingly in the GUI which takes the input and checks with the machine and gives the predicted range of the electricity consumption in units with the price. Keywords: Big Data, Hadoop tool kit, Random forest algorithm, GUI.

Abstract: Data in the organization creates a large impact on company’s operational and business processes. It will help the organization to be consistent in fulfil the business context requirements, reduce the risk, smooth transactions of business processes, and improve the performance. Currently, the type and size of the data generating everyday requires proper techniques to maintain to integrate and maintain the quality of the data. Due to its importance and vast dimensions, maintaining the data quality is always being a big challenge for the organization. Furthermore, the data quality generates efficient results and state-of-the-art opportunities in different scenarios such as decision making process. Negligence in data collection and integration, inconsistent data quality attributes and poor systematic approach are major drawbacks of data quality. The use of simultaneous strategies between data collection, analysis and for decision making can help to optimize data quality and developing efficient business strategies. This research is focused on data quality assessment to improve the decision making process. Assessing data quality dimensions to improve the business performance and for efficient decision making process is the major concerned in this research. This research integrates five different dimensions including cognitive assessment, in proposed data quality framework. Whereas the implementation of the model on any industry will provide the reasonable understanding of the model to improve the data quality and decision making process.

Keywords: Data Quality, Data Quality Assessment, Decision Making, cognitive assessment

Abstract: The present study deals with the determine stress between Physical education and Non-Physical Education students by using Gadzella’s Life Stress Inventory (B. M. Gadzella, 1991). The sample consisted of 75 Physical education students and 75 non physical education students were selected for the study. The findings of the study indicate that Non-Physical Education students reported more severe and moderate stress as compare to physical education students. The level of academic stressors and reaction to stressors high within Non-Physical Education students

Keywords: Stressors, Stress, Perceived, Students.

Abstract: The capacity to gather explicit Environmental discharges has widespread in metropolitan urban communities because of advances in innovation and quickened financial turn of events. The objective of this investigation is accordingly to plan an ease, cloud-based keen framework called Cloud-Based Smart Device Environment Monitoring (CEMSD) that tracks different natural boundaries, for example, air quality, clamor, temperature and stickiness. The Raspberry Pi 3 (RPi 3) Model B and thusly a microchip with DHT11 temperature mugginess sensor, Grove-Loudness sensor, Shinyei PPD42NS particulate issue (PM) woods dust sensor, COZIR wide range 100% Carbon Dioxide (CO2) sensor and MQ131 Ozone (O3) gas sensor are utilized to make the CEMSD. The CEMSD gathers and sends information from focused estimating areas to a cloud worker by means of remote organization or cell organization, where information is gathered, handled, and available through a PC or any savvy gadget. Keywords: Raspberry Pi, Internet of Things, GPS, PYTHON ARM.

Abstract: The computerization of our society has substantially enhanced our capabilities for both generating and collecting data from diverse sources. A tremendous amount of data has flooded almost every aspect of our lives. There is a need in transforming the vast amount of data into useful information and knowledge. This has led to the generation of promising and flourishing frontier in computer science called data mining. Data mining is the automated or convenient extraction of patterns representing knowledge implicitly stored or captured in large databases, data warehouses, the web, other massive information repositories or data streams. Data mining can be applied to any kind of data as long as the data is meaningful for a target application. In this paper, we discuss in detail data warehouse and data warehouse data, which is almost basic form of data for data mining applications. We also present to you a typical framework of a data warehouse and data pre-processing techniques. We also discuss about OLAP (Online Analytical Processing) Data Marts which is a subset of an organizational data store, usually oriented to a specific purpose or major data subject, which may be distributed to support business needs.

Keywords: computerization, data mining, databases, data warehouses, data pre-processing techniques, OLAP (Online Analytical Processing) Data Marts, Total Quality Management.