Volume-10 , Issue-11 , Nov - 2022 Go Back

Sign language is a communication tool for people with deaf and mute conditions. It is a set of hand gestures used by deaf and mute people to communicate. Deaf and mute people face a lot of difficulties when communicating with ordinary people and struggle to learn new skills from others. Many researchers have carried out various approaches to solve the problems faced by deaf and mute people. Researchers have also focused on problems faced by deaf and mute children while learning. Most of the researchers have focused on teaching sign language. Providing a feedback mechanism is not well explored. Recognizing static and dynamic sign languages and providing feedback is a challenging problem. Sign language is not the same in every country. Therefore, a solution designed for one sign language can’t be used to solve problems faced by another sign language. In this research, a web application called Esign Guru is developed to teach Sri Lankan static and dynamic sign language while also proving practice and feedback mechanisms for each sign language. The proposed system uses machine learning techniques to recognize sign language performed by the user. The system has a text-to-sign language summary module, which helps the students to learn the sign language summary for the given text. Esign Guru is a web application, which can be accessed via any browser without any special devices which makes it a cost-effective solution.

Static sign, dynamic sign, sign recognition, sign language practice, text-to-sign

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[16] S.M. Halawani and A.B. Zaiton, “An avatar based translation system from Arabic speech to Arabic sign language for deaf people,” International Journal of Information Science Education, 2, pp.13-20, 2012.
[17] N. Aouiti and M. Jemni, “For a translating system from Arabic text to sign language,” Proceedings of the Confererence on Universal Learning Design, pp.33-38, 2014.

Kawsikan K., Jayakody E.D.D.L., Kothalawala K.L.T.D., Wijesekara M.P., Hansi De Silva, "An Effective E-Learning System For The Deaf & Mute Primary School Students," International Journal of Computer Sciences and Engineering, Vol.10, Issue.11, pp.1-7, 2022.

The basic scheduling issue is examined in this chapter. On n identical computers with bounded capacity, n deterministic jobs need to be scheduled offline. Each work has a start time, a finish time, a processing time, and a machine capacity requirement. The purpose is to schedule all of the jobs no proactively in their start-time–end-time windows, subject to machine capacity limits so that the overall busy time of the machines is minimized. Minimizing the overall busy time for the scheduling of several identical machines is the name we give to this issue (MinTBT). Power-aware scheduling for Cloud computing, optical network design, customer service systems, and other relevant fields can all benefit from solving this issue. In the particular case where all jobs have the same process time and can be scheduled in a set time interval, scheduling to reduce busy time is already NP-hard. The 5-approximation approach for exceptional situations utilizing the first-fit-decreasing (FFD) algorithm is one of the best-known solutions to this problem. In this chapter, we suggest and demonstrate a modified first-fit-decreasing-earliest 3-approximation technique for the general case and gain further results for particular situations. Then, we demonstrate how our findings might be used in cloud computing to increase energy efficiency.

Energy-efficient scheduling; offline algorithm; online algorithm; MFFDE algorithm; BFF algorithm; GRID algorithm; approximation ratio; competitive ratio

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Sebagenzi Jason, "Energy Efficient Offline Parallel Scheduling in Cloud Computing by Reducing Total Busy Time," International Journal of Computer Sciences and Engineering, Vol.10, Issue.11, pp.8-15, 2022.

The evolution of the world economy has been very high with the proliferation of new technology and universal communication super highways. Nonetheless, one of the unintended consequences of online or the internet is its use for illegal activities. Increasing social crime has become a global problem, and the activity of international criminal organizations has been steeply increased. Online fraudulent usually denotes to any form of fraud mechanism that uses the internet`s one or more components, such as emails, websites, web portals, etc. Nowadays, many tools are available to prevent the users from online fraudulent. The main aim of this paper to discuss the types of online fraud and tools to prevent those fraud activities.

Fraudulent Types, Spam, Scam, Phishing, Identity Theft, Spyware, Tools

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S. Vijayarani, R. Janani, "Online Fraud Types and Open-Source Online Fraud Prevention Tools– An Analysis," International Journal of Computer Sciences and Engineering, Vol.10, Issue.11, pp.16-19, 2022.

The advent of smart cities aims to alleviate the challenges concerned with the ongoing urbanization and rising population density. To achieve the necessary degree of sustainability, government is looking for smart and efficient solutions for effective smart city data management. Such smart city decisions are based upon near real-time handling of a city’s needs, proper planning and better finance in various municipal sectors. This requires a need for a new generation GIS enabled Decision Support System (DSS) for more efficient Municipal e-Governance. In order to enable holistic planning and functionality of a city with high visual impact, municipalities, especially in developing countries, often lack proper integrated tools to analyse their broad spectrum of information. To address these issues, the present study strives to provide holistic solutions to the e-governances, by the virtue of Information Computing Technology (ICT), on the basis of a developed product called CityLayers, which is fully integrated with e-Governance applications. The product has been established using open source technologies and has been customized to handle vast Municipal datasets with effective geo-data visualization. The product is compliant to Open Geospatial Consortium, and is a cross- platform, cross-device in nature providing quick access to spatial data, visualization and analytical capabilities over a web browser.

Smart cities, Open source technologies, ICT, E-governance

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Maulik Bhagat, Santosh Gaikwad, Rahul Kanani, Arjan Odedra, Aashima Sodhi, "CityLayers: A GIS Integrated Framework towards the Sustainable Smart Cities Approach," International Journal of Computer Sciences and Engineering, Vol.10, Issue.11, pp.20-26, 2022.

Covid – 19 pandemics prevent most elementary school pupils from attending and studying on school. According to Covid 19 standards and laws, schools began working online. It`s a great chance for kids to finish school properly. This concept discusses how students might train based on personal performances in a methodical way. Personal training for students based on performance research will use prior session data to help students improve their understanding. This section examines studies on online classroom activities. It may be a puzzle, short questions, game, or other activity that helps evaluate student performance. This internet app will record and schedule activities. This exercise helps students learn. A technique for reporting children`s activities analyzes all preceding experiences. It incorporates all three research components to help students grasp their level. The other three research components will also receive this information. This research component will inform the other components` questions and structures. Depending on their current talents and activity package, a system can map children`s future competencies. New analysis based on profile and other activity. Haggles and other internet data will be merged with machine learning and NLU to analyze matching (NLU). Artificial intelligence will prompt messages and offer message flows, dialogue, and other activities to expand a child`s knowledge. To begin, numerous activities, their effect levels, and their impact on a child`s knowledge will be investigated. This will allow you to communicate with primary children and provide positive feedback to help them enhance their knowledge. By reading students` facial expressions, attentiveness, and impressions of the topic module, you may establish a good learning environment. This study will train a model using a set of student photographs with diverse expressions and information to predict and interpret facial attention levels and other expressions.

analysis, NLU, artificial intelligence

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M.K.M.P. Miyanadeniya, D.M.D. Amarasekara, S.D.D. Dilakshi, H.K.U. Perera, "Machine Learning and Web based e-Learning Platform for Primary School Students," International Journal of Computer Sciences and Engineering, Vol.10, Issue.11, pp.27-34, 2022.

With the immense quantity of information in the World Wide Web, the World Wide Web (WWW) contains enormous amounts of web pages which are accessible by users. Web pages formatted in HTML (i.e. Hyper Text Markup Language) are found on this network of computers. All the Web pages, pictures, videos and other online content can be accessed via a Web browser. This provides a very useful and helpful means of collecting information. Information retrieval systems can help to retrieving the relevant information from web documents. This process of information retrieval involves three stages such as identifying the documents want to be processed, writing of query and use of searching mechanism to retrieve the relevant web document information. This paper discuss how HTML Tags structure of web page are useful for retrieval of main or informative content from web pages for efficient web mining operations.

WWW, Web Page, HTML Tags, Text Density

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S.S. Bhamare, "HTML Tag Structure Based Content Retrieval from Web Pages," International Journal of Computer Sciences and Engineering, Vol.10, Issue.11, pp.35-39, 2022.