International Journal of Computer Science and Engineering

11-20

Authors: Indushree. M, Sushmitha. N & Shashidhara. R

Block chain is an emerging technology, which offering numerous opportunities to develop decentralized and distributed digital services by ensuring privacy and transparency. It has mainly concentrating on the legal and technical issues rather developing advanced digitized services. In this article, we make use of the smart contracts with Blockchain to design the secure electronic voting system. The aspect of privacy, authenticity, transparency and security is a threat and challenging in the traditional voting systems. In general, mostly elections is based on the centralized infrastructure consists of central entity that maintains over all the voting process. The major pitfalls in the existing E-voting infrastructure are with an entity that has full influence over the system, it is feasible to modify with databases of considerable opportunities. In addition, the paper based voting systems are assisted by Electronic Voting Machines (EVMs) have multiple vulnerabilities, which can be caused to election rigging, fraudulent intent of the third party entities and government. The decentralized public Blockchain technology might offers a scalable solution to current voting systems by providing trust based and fraud proof digital voting.

9-14

Authors: Chaitra. S Muttali, Architha. S C, Bhumika. K, Haripriya. R & N. Guruprasad

The main idea in good pickup of the camera is that they are placed at the side of load cell sensing element of garbage bin. The camera can take continuous pictures of the bin. A threshold is set, that is compared with the output of camera and cargo sensing element, this comparison is assisted with the help of microcontroller. When analyzing the image one can tend to get a plan concerning the amount of the garbage present within the bin and also with the help of load cell sensing element one can tend to get understand the burden of garbage, data is processed and the microcontroller checks if the threshold level is exceeded or not, it then sends a message through GSM module to apprise that the bin has crossed its capability, and the garbage disposal is needed. So that the specified authority sends the vehicle for clearing the bin

19-36

Authors: EZRA, Siyani Dogo, ANDEMBUBTOB, David Roland & APURU, Jonathan Iliya

The advent of information technology has facilitated teaching and learning for teachers in most part of the world. The aim of this study is to explore the factors influencing the adoption of Information and Communications Technology (ICT) by private primary school teachers in Jalingo, Taraba State, Nigeria. The use of ICT in this context means the use of gadgets such as computers, projectors and smart boards. The study seeks to investigate the acceptance of these technologies in private schools in Jalingo, Taraba State where ICT is deployed. 200 questionnaires were distributed to teachers in such private primary schools. UTAUT model was used to find the factors with the aid of a statistical analysis tool known as smart PLS. Performance expectancy in this study was found to have positive influence on behavioral intention. Effort expectancy was found to have negative influence on teachers’ intention to use ICT. Social influence was found to have the strongest impact on teachers’ intention to use ICT. Facilitating condition was also found to have positive effect on the use of ICT by teachers in primary schools.

11-26

Authors: Muktevi Srivenkatesh

Chronic kidney disease is rising health hassles and includes stipulations that minimize the efficiency of renal features and that damage kidneys. Chronic kidney sickness may be detected with countless machine learning techniques, and these have been classier. The use of a number features and classier combinations. Methods: In this study, we applied 12 one of a kind of machine learning classifiers (Naïve Bayes, RandomTree, REPTree, etc.) for the analysis of Chronic kidney disease. The classification performances are evaluated with five different overall performance metrics, i.e., accuracy, kappa, Mean absolute error (MAE), Root Mean square error (RMSE) and Fmeasures. The goal of this lookup work is to predict kidney disease with the aid of using more than one computing machine learning algorithms that are J48 Graft Decision tree (C4.5) and Bayesian Network (BN) and LMT, LAD Tree, Random Tree and Random Forest, etc. Results: The machine learning algorithms under study were able to predict liver disease in patients with accuracy between 76.13% and 83.41%. Conclusions: It was shown that Random forest has better Accuracy (83.41%) when compared to different machinelearning algorithms.

43-48

Authors: Shreedatta Sawant, Ashwina Tari Volvoikar, Kiran Mukund Gawas, Deodato Idris Marcel Rodrigues, Shrutika Sharad Pedamkar, Prasad Balkrishna Salgaonkar & Rohit Arvind Narvekar

Due to the rapid production of number of vehicles, traffic problems are bound to exist. The number of vehicles has been increasing on a daily basis, which adds to the parking constraints at public places. The proposed system, “Smart Parking System” is designed to alleviate the current problems. With the implementation of the smart parking system, user can easily locate and reserve a vacant parking space at any car parking area which is convenient to them. Checking in and checking out of vehicles is also made easier and more convenient to the drivers with the help of Node MCU (ESP8266) and Ultrasonic sensor. In today’s world, smart cities have become very popular. The evolution of Internet of Things has made it possible to achieve smart parking system. Problems such as, traffic congestion, limited car parking facilities and road safety are being addressed by IoT. In case the parking is not available in the desired location, the proposed system also allows the user to search for nearby available parking area. Using Naïve Bayes Classifier algorithm the user can also search for the availability status of a parking area for any particular day. Due to the rapid production of number of vehicles, traffic problems are bound to exist. The number of vehicles has been increasing on a daily basis, which adds to the parking constraints at public places. The proposed system, “Smart Parking System” is designed to alleviate the current problems. With the implementation of the smart parking system, user can easily locate and reserve a vacant parking space at any car parking area which is convenient to them. Checking in and checking out of vehicles is also made easier and more convenient to the drivers with the help of Node MCU (ESP8266) and Ultrasonic sensor. In today’s world, smart cities have become very popular. The evolution of Internet of Things has made it possible to achieve smart parking system. Problems such as, traffic congestion, limited car parking facilities and road safety are being addressed by IoT. In case the parking is not available in the desired location, the proposed system also allows the user to search for nearby available parking area. Using Naïve Bayes Classifier algorithm the user can also search for the availability status of a parking area for any particular day.

11-20

Authors: Adil Khan, Izhar Khan, Tahreem Akhtar, Arshi Fahim & Babar Ushmani

In this paper, we focus on the emotions of the human, which they are trying to express by posting messages on the social network. Social media is filled with the user-generated microblogs and processing these blogs is very challenging. We have processed the human language in such a manner that our system can understand the emotions of the human that they are trying to express either using text or emoticons. From our research and experimental results on two real-life datasets, the system will able to understand the human sentiments after analyzing their write-ups available on their social profile.