Asian Journal of Research in Computer Science

Journal Information
EISSN : 2581-8260
Published by: Sciencedomain International (10.9734)
Total articles ≅ 260
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Hima Bindu Sadashiva Reddy, Roopesh Reddy Sadashiva Reddy, Ratnaditya Jonnalagadda, Pallavi Singh, Avinash Gogineni
Asian Journal of Research in Computer Science pp 12-33; https://doi.org/10.9734/ajrcos/2022/v13i430319

Abstract:
Usability evaluation clarifies the user’s comfortability, satisfaction, and experience with a product. The success of the product is solely dependent on the usability factor. Web applications are excellent channels to communicate between the customers and the suppliers, for satisfying users' needs. Particularly usability evaluation of web applications plays an important role in observing the design, content, and navigation of a website. These observations help to improve the design of a web application. A proper design and content management of a web application acts as a gateway to attract more customers to use their application. Customer satisfaction would also help increase business for that particular company. The restaurant recommender web application acts as a medium for customers and restaurants. These applications help the food industry to attract customers. If the mode of communication is not effective, restaurants fail to promote their food business to the customers. Previous research studies focused on business models, restaurant reviews, and offers provided by restaurant recommenders, instead of usability evaluation. The goal of this research study is to test the efficiency and effectiveness of zomato.com through usability evaluation. The importance of this research study is to help both Zomato and other applications to increase their popularity. The methodology used was both think aloud and observations. The results were satisfactory and informative. The average time taken for website navigation tasks was 20.5 minutes. 100% satisfaction with restaurant reviews. 33% satisfaction for restaurant search and location information. 33% were not willing to re-use the Zomato website. These results convey that user satisfaction plays a major role in users returning to a website. This could be one reason for less web usage traffic in Zomato, hence leading to unpopularity. Recommendations and future research were also discussed.
, Meghana Mangipudi, K. Apoorva
Asian Journal of Research in Computer Science pp 1-11; https://doi.org/10.9734/ajrcos/2022/v13i430318

Abstract:
It is universally accepted fact that crop diseases are one of the major threats in agriculture that ultimately result in drastic reduction of food supply. The present project study aims to use artificial intelligence in building a model which is integrated with a user-friendly web application. The web application is created using the Python-based Django framework. This user interface allows the user to choose a crop name and upload an image of a leaf wherein the trained model then begins the process of feature extraction on the image and tries to make an accurate prediction. The final result is displayed to the user confirming whether the crop may be “healthy” or the “diseased “and even the name of the disease that infects the plant will be displayed. The application also suggests a suitable treatment to combat the disease. Thus, the scope of this project study is very scalable as it can be easily be used by amateur gardeners as well as by farmers. The model itself can also be extended to include more plant types along with any new diseases which may arise due to factors like climate change, pest - resistance etc.
Asian Journal of Research in Computer Science pp 45-54; https://doi.org/10.9734/ajrcos/2022/v13i330317

Abstract:
A spell checker is a tool that finds and corrects erroneous words and grammatical mistakes in a text document. Spelling error detection and correction techniques are widely used by text editing systems, search engines, text to speech and speech to text conversion systems, machine translation systems and optical character recognition systems. The spell checkers for European languages and some Indic languages are well developed. However, perhaps, owing to Tamil being a morphologically rich and agglutinative language this has been a challenging task. Erroneous words and grammatical mistakes can occur in sentences due to various reasons. Erroneous words can be classified into two categories, namely non-word errors and real-word errors. This work aims to correct non-word errors in Tamil documents by suggesting alternatives. The proposed approach uses letter-level and word-level n-gram, stemming and hash table techniques. Test results show that the suggestions generated by the system are with 95% accuracy.
Ratul Prosad, Ashikur Rahman Khan, Ishtiaq Ahammad
Asian Journal of Research in Computer Science pp 28-44; https://doi.org/10.9734/ajrcos/2022/v13i330316

Abstract:
A classroom routine is nothing more than a well-practiced respond to a teacher's instruction. Most universities handle this allocation process with a manual procedure. The manual procedure gives various challenges and is inclined to mistakes. A better approach to reliably schedule class routine is to utilize a computer assisted web-based system. Therefore, in this work, focus is given on creating automatic class routines with teacher’s requirements. This work mainly consists of two parts, named Admin panel and User panel. In admin panel, we get some information like courses information, teacher’s information, room’s information etc. We can Update, Delete & Add this information. A class routine is then created based on these fields. In user panel, we get all of information about courses, associated teacher and rooms. In this panel we can see all this information & routine. Routine can be constructed by days, teacher’s and semester wise. We create this application by utilizing genetic algorithm, and implemented by using Python language. Exam Hall Invigilation is another aspect which still most universities handle manually. Therefore, an automatic Exam Hall Invigilation Management System is also developed in this work. We propose an improved algorithm to achieve automatic examination arrangement for invigilator based on greedy method. The system can configure to allocate any numbers of invigilators in different examination halls in such a way that each invigilator will get equal number of duties. This algorithm has written and implemented in Java-script language.
Thompson Iniakpokeikiye,
Asian Journal of Research in Computer Science pp 19-27; https://doi.org/10.9734/ajrcos/2022/v13i330315

Abstract:
The structure, variety and quantity of some current web content are limited in efficient exploration due to difficulty in searching and locating a specific content. A case is the Niger Delta University where there is no unified online structure holding relevant university data. This is because there is no common data model to manage the data for which such query can easily be interpreted semantically. Therefore, this paper presents the application of semantic web technology for the unification of university data management. This research prepares the ground for the advent of software agents and other applications that require structured data for their computational processes. The ontology development follows an iterative path of the Object-Oriented System Analysis and Design (OOSAD) methodology. SPARQL was used as the query language for testing the ontology. The result is a semantically structured data that is deployable and can be expanded and adapted in other institutions.
Po Li, Zaoyong Lu
Asian Journal of Research in Computer Science pp 12-18; https://doi.org/10.9734/ajrcos/2022/v13i330314

Abstract:
An artificial neural network (ANN) is an information processing system established by simulating the structure and logical thinking of the human brain. It uses the interconnection between a large number of neurons to form a network system that can perform complex calculations, and is widely used. For various complex problems, by choosing different model structures and transfer functions, various neural networks can be formed and different expressions of the relationship between output and input can be obtained. Face recognition is one of the important research directions of ANN. It mainly refers to the automatic inference of identity, expression, age, gender and other attribute information through the analysis of facial images, videos or pictures and video collections of people. Widely used in mobile payment, safe city, criminal investigation and other fields. The origin, types and research progress of ANN are introduced, and the face recognition technology based on neural network are investigated.
, Ashraf Gasim Elsid Abdalla
Asian Journal of Research in Computer Science pp 1-11; https://doi.org/10.9734/ajrcos/2022/v13i330313

Abstract:
A data center is a physical facility that organizations use to house their critical applications and data. An application delivery controller, router, switch, firewall, storage system, and server make up the design for the data center. Data security in the data center is critical due to these components' role in storing and managing critical business data and applications. An Android application has therefore been developed that can be used on smart phones to monitor and follow the performance of the data center camera monitoring system. Surveillance cameras in the data center allows the data center manager to monitor employees, machines, and all data center facilities from his office via his mobile phone, or even when he is out of the office, and to view a report of faults and maintenance to ensure the efficiency of the system. Using the application, the engineer can also control the cameras by panning and zooming in on the camera images in the data center, playback previous recordings of cameras, and review fault reports to find out the malfunctions of the monitoring system from anywhere with an Internet connection.
, Isaac Ampofo Atta Senior
Asian Journal of Research in Computer Science pp 48-60; https://doi.org/10.9734/ajrcos/2022/v13i230312

Abstract:
In most educational institutions, the computerized selection system (CSS) consists of a collection of different hardware and software requiring disparate supporting infrastructures and offering little in the way of integration. However, university admission is no exception, but it is organized very differently throughout the world. Thus, the goal is to determine the challenges in the use of the computerized system for admission into colleges of education affiliated with the University of Cape Coast. The methodology for the study was a descriptive design with a quantitative method. The total population for the study was 255, with a sample size of 192 admission officers, quality assurance staff, and heads of departments. The results of the study show that one of the challenges of a computerized system for admission is that the system forces some candidates initially selected to grant their place in the list to others far behind. The study’s findings discovered a negative weak association between the challenges of using a computerized system for admission and its’ efficiency.
, Sabbir Ahmad Saad, Sajib Khan, Israt Jahan, Milon Ray, Milon Biswas
Asian Journal of Research in Computer Science pp 28-47; https://doi.org/10.9734/ajrcos/2022/v13i230311

Abstract:
Deep learning (DL) is a kind of sophisticated data analysis and image processing technology, with good results and great potential. DL has been applied to many different fields, and it is also being applied to the agricultural field. This paper presents a wide-ranging review of research with regards to how DL is applied to agriculture. The analyzed works were categorized in yield prediction, weed detection, and disease detection. The articles presented here illustrate the benefits of DL to agriculture through filtering and categorization. Farm management systems are turning into real-time AI-enabled applications that give in-depth insights and suggestions for farmer's decision support by using the proper utilization of DL and sensor data.
Apuru Jonathan Iliya, Philip Zhino Aboki, Andembubtob David Roland, Jeremy Zevini Bako
Asian Journal of Research in Computer Science pp 22-27; https://doi.org/10.9734/ajrcos/2022/v13i230310

Abstract:
Two experiments to compare text-entry were carried out using Soft Keyboard Layouts. Paper mockups were used and we carried out manual timing in a relaxed situation, even though within a classroom environment. Volunteer students were paired and made to work in such groups, serving as participants and also helping out in the timing process. One set of students served as participants at first and the other timed them. They then switched roles halfway and exchanged the tasks of participation and timing. Participants tapped the phrase “the quick brown fox jumps over the lazy dog” on each keyboard layouts five times using stylus. The time for word entry was measured and used to determine the speeds; which were found to be 24.8 to 34.3 for QWERTY Keyboard Layout and 11.9 to 14.8 for Opti Layout. We discussed the advantages and shortfalls of the methods of evaluation.
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