Journal of Computer Science Engineering and Software Testing

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EISSN : 2581-6969
Total articles ≅ 20
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Suchetha N V, Anusha K S, Deekshitha P, Deepika P S, Ms. Pavitra Gopal Naik
Journal of Computer Science Engineering and Software Testing, Volume 8, pp 51-56; https://doi.org/10.46610/jocses.2022.v08i02.005

Abstract:
Biometric technologies are commonly used to upgrade the system security by allowing people to be recognised. Multi-modal biometric system based on face and fingerprint biometric attributes are included in this survey report. A camera is used to capture the pictures of the faces in the system. The fingerprint obtained from the fingerprint dataset is cross-checked once the input face is recognised to authenticate the identification. The characteristics of the fingerprint and face are retrieved using haar transformation approach. Score level fusion with real-time datasets determines the final conclusion.
Sahana Kumari B, H. Manoj T. Gadiyar, Ms. Rajeshwari S Gaonkar, Ms. Rachana Nayak, Ms. Raksha R Kademani, Ms. Shreya S Pattar
Journal of Computer Science Engineering and Software Testing, Volume 8, pp 40-44; https://doi.org/10.46610/jocses.2022.v08i02.003

Abstract:
An automated attendance management system maintains a record of the attendance of a particular student, whether he/she is present in the class. The most important element of the virtual platform for students is maintaining attendance in an educational institution. When done manually, it wastes a substantial amount of time and effort. Due to a lack of a reliable attendance mechanism, there were also numerous fraudulent attendances. The face is the most significant feature that distinguishes a person. As a result, the focus of this study is on an attendance system that uses a real time face identification method based on the frontal face recognition idea, as well as an efficient Haar cascade algorithm based on an open-source image processing framework as well as the Local Binary Pattern Histogram.
Nikhil Khera, Krishna Sarthak Tiwari, Vaibhav Tripathi, G Sai Vinit, Nagaraja J
Journal of Computer Science Engineering and Software Testing, Volume 8, pp 65-74; https://doi.org/10.46610/jocses.2022.v08i01.005

Abstract:
Despite their progress and improvements, mobile devices are still regarded as restricted computer devices. Users are growing more discerning, expecting to be able to run computationally intensive applications on their smartphones or tablets. As a result, Mobile Cloud Computing (MCC) integrates mobile computing and Cloud Computing in order to use offloading techniques to increase the capabilities of mobile devices. Although offloading programmes to the cloud might improve mobile device performance, it can also increase processing delay. Inevitably, the quality of user service (QoS) suffers as a result, particularly for specific applications (especially workflow applications). To address the problem of network latency, a new paradigm known as mobile edge computing (MEC) has been developed, which may be thought of as a subset of MCC. We also see deployment of Cloudlets, which are a form of edge server, to minimize latency and energy usage by offloading applications to the cloud, resulting in an efficient and cost-effective architecture as well as various decision-making techniques for offloading. And so, a literature survey regarding this will be presented which focuses on various methods of offloading and its decision-making techniques.
Sourabh G Patil, Veer Jadimath, Mahantesh C. Elemmi, Pritam Dhumale, Shreyas Deshpande, Naveen N. M.
Journal of Computer Science Engineering and Software Testing, Volume 8, pp 35-44; https://doi.org/10.46610/jocses.2022.v08i01.002

Abstract:
Most of the houses in a city or town get their water supply from their City Corporation or water board. Majority of the areas in a city have a water supply schedule planned. The people living in such areas manage their water usage according to the schedule and have to manually note down the next date for their water supply. Due to circumstances, such as technical difficulties with the reservoir or the water-board, a sector may not get the water supply on the expected day which might lead the household with no water and also create much commotion due to confusion. Our project automates this process by informing the users on what day their particular sector is going to get the water supply and if there are any delays to a particular sector, the local officer can inform to the database admin and the water supply date will be updated accordingly. In addition to this, the user can also check the water bill information and can also get the contact information of their sector’s water supply contractor. Thus, our project will act as a solution to all the water supply problems of a household.
Sourabh G Patil, Veer Jadimath, Mahantesh C. Elemmi, Pritam Dhumale, Naveen N. M
Journal of Computer Science Engineering and Software Testing, Volume 8, pp 50-64; https://doi.org/10.46610/jocses.2022.v08i01.004

Abstract:
The rate of growth of technology and the interactions of people made from far distance is at its maximum peak in the entire timeline of human history. These times therefore require an individual with accurate and legitimate updated knowledge of the incidents occurring to his immediate surroundings as well as of the entire globe. Owning devices such as smart phones, smart watches, tablets and other portable electronics of such kind is very common practice and the number of users is increasing day by day. NEWS was delivered through the means of messengers in medieval times, printing press in the 15th century. NEWS through television was convenient source of live information delivery which was popularized in 19th and 20th century. We have reached the epitome of fastest NEWS or information delivery system. This system however has a drawback in which the individual has to be in front of a television with a setup box and a bunch of wired cable which makes it a bit more tedious to get updated with information regularly. Hence, this can be improved by using the technology of applications on smart phones. The app will contain regular updates on topics which will be communicated by NEWS API. The API will get its information through various NEWS broadcasters available around the globe like BBC, CNN, Guardian, NDTV. This will greatly improve the speed of information reaching the average person. In comparison to the native apps, the average user of our app will be able to run it smoothly on their devices because of the minimalistic design while getting access to significant and latest NEWS. This feature not only drives the user to an information-centric source for day-to-day updates but can also keep the unwanted clutter away from the user experience. NEWS app allows us to explore the various types of integration available between foreign API’s and android application which transits to a unique experience for every user. It also provides us with an opportunity to learn the integration of the android application with Google's Firebase through which we would work and learn to manage and view the application’s analytics, explore push messaging services and much more features such as database management for android application.
Makarand Velankar, Vaibhav Khatavkar, Vinayak Jagtap, Parag Kulkarni
Journal of Computer Science Engineering and Software Testing, Volume 7; https://doi.org/10.46610/jocses.2021.v07i03.002

Abstract:
Features play a crucial role in several computational tasks. Feature values are input to machine learning algorithms for the prediction. The prediction accuracy depends on various factors such as selection of dataset, features and machine learning classifiers. Various feature selection and reduction approaches are experimented with to obtain better accuracies and reduce the computational overheads. Feature engineering is designing new features suitable for a specific task with the help of domain knowledge. The challenges in feature engineering are presented for the computational music domain as a case study. The experiments are performed with different combinations of feature sets and machine learning classifiers to test the accuracy of the proposed model. Music emotion recognition is used as a case study for the experimentation. Experimental results for the task of music emotion recognition provide insights into the role of features and classifiers in prediction accuracy. Different machine learning classifiers provided varied results, and the choice of a classifier is also an important decision to be made in the proposed model. The engineered features designed with the help of domain experts improved the results. It emphasizes the need for feature engineering for different domains for prediction accuracy improvement. Approaches to design an optimized model with the appropriate feature set and classifier for machine learning tasks are presented.
Parminder Singh, Shubham Verma, Ishtiyaq Khan, Shamneesh Sharma
Journal of Computer Science Engineering and Software Testing, Volume 7; https://doi.org/10.46610/jocses.2021.v07i03.001

Abstract:
Machine learning is a subject that reviews how to utilize PCs to reenact human learning exercises, and to think about self-change techniques for PCs that to get new information and new abilities, distinguish existing learning, and persistently enhance the execution and accomplishment. Contrasted with human learning, machine learning adapts speedier, the collection of information is more encourage the consequences of learning spread simpler. In this way, any advance of human in the field of machine learning will improve the ability of a computer, along these lines affect human culture. This paper introduces machine learning, its basic model, and various techniques. This paper also discusses various researches done in previous years in the field of machine learning.
Nivetha M, A. Meenakowshalya
Journal of Computer Science Engineering and Software Testing, Volume 7; https://doi.org/10.46610/jocses.2021.v07i02.005

Abstract:
A multi-criteria-based recommender system makes precise decisions by probing customers multiple criteria’s on-hand and gives recommendations by modelling a user’s utility for the alternatives along several criteria. This paper collects user preferences of criteria over alternatives in the form of linguistic variables. Alternatives includes 6 policies namely term plan, endowment plan, child plan, life insurance plan, criteria include income tax benefit, sum assured, benefits on death and riders option. To rank such alternatives, fuzzy vikor expanded form of MCDM (MCDM) technique is used. MCDM ranks policies based on expand S (S) and expand R (R) value. Sensitivity analysis is used to determine the stability in the alternatives ranking, with the varying parameter value V. The proposed approach is compared with fuzzy topsis approach which ranks alternatives based on closeness coefficient value obtained. After ordering the alternatives using the MCDM techniques, it is inferred that, Both the approach almost provides the closest ranking order. The proposed fuzzy vikor provides best and optimal solution preserving the consistency compared to fuzzy topsis.
Asha. J, Meenakowshalya. A
Journal of Computer Science Engineering and Software Testing, Volume 7; https://doi.org/10.46610/jocses.2021.v07i02.004

Abstract:
A detection of fake news is difficult due to limited publicly available resources (Datasets). Fake news is a false information which present in news or stories, blog so on. Fake news easily spread and damage the reputation of person or an organisation, therefore, detection of fake news is important. This project work detects fake news using unsupervised and deep learning algorithms. In unsupervised learning method One Class SVM (Support Vector Machine) and in deep learning method Hybrid CNN-RNN is implemented. Experimental results with NEWS dataset showed an accuracy of 58% for One Class SVM and 96.4% for Hybrid CNN-RNN. The proposed method performs better in terms of application performance compared to already existing Machine learning algorithms. This project can be further extended by exploiting high dimensional datasets in future.
Malhar Gadade, Kishor Kolekar, Vinayak Jadhav, Aditya Kairamkonda, Parimal Kurapati, Snehal Shinde
Journal of Computer Science Engineering and Software Testing, Volume 7; https://doi.org/10.46610/jocses.2021.v07i02.001

Abstract:
Organic food store management system is a desktop application to empower people or a small-scale businessman to manage the store, in each and every way possible. This management system aims to simplify and modernize the work efficiency of the businessman. Organic food store management system is a software developed for the shop where they sell or make only organic food materials which further aims to keep people free form chemicalized food material and helps to increase social as well as geological health. It ethically aims to save mother earth by saving paper, plastic etc. And hence contributes to the good health of mother earth. As we all know that the world and business culture are rapidly increasing, we have to be growth full towards the technology and should be more aimful to save manpower or more handwork towards a very ease technological or computerized shop or business which can further aim in ethical handling of the business. Here, in this software there are three main role players; Admin, Cashier and Customer. Particularly each role player has a privilege to comprehensively work on the software. Various operations such as Bill Creation, Stock Management, Virtual Display of product Info, Display of Pamphlets Virtually and many such, can be done with the use of this software. The genesis of the review pampers to save time, money as well as pamper Mother Earth.
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