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Enhancing Communication Accessibility:UrSL-CNN Approach to Urdu Sign Language Translation for Hearing-Impaired Individuals

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computer Modeling in engineering & Sciences 2024年第10期141卷 689-711页

作者： Khushal Das Fazeel Abid Jawad Rasheed Kamlish Tunc Asuroglu Shtwai Alsubai Safeeullah Soomro Department of Computer Engineering Modeling Electronics and Systems EngineeringUniversity of CalabriaRende Cosenza87036Italy Department of Information Systems University of Management and TechnologyLahore54770Pakistan Department of Computer Engineering Istanbul Sabahattin Zaim UniversityIstanbul34303Turkey Department of Software Engineering Istanbul Nisantasi UniversityIstanbul34398Turkey Department of Computer Science COMSATS University IslamabadLahore CampusLahore54700Pakistan Faculty of Medicine and Health Technology Tampere UniversityTampere33720Finland Department of Computer Science College of Computer Engineering and Sciences in Al-KharjPrince Sattam Bin Abdulaziz UniversityP.O.Box 151Al-Kharj11942Saudi Arabia Second Department of Computer Science College of Engineering and ComputingGeorge Mason UniversityFairfaxVA 4418USA

Deaf people or people facing hearing issues can communicate using sign language(SL),a visual *** works based on rich source language have been proposed;however,the work using poor resource language is still *** other SLs,the visuals of the Urdu Language are *** study presents a novel approach to translating Urdu sign language(UrSL)using the UrSL-CNN model,a convolutional neural network(CNN)architecture specifically designed for this *** existingworks that primarily focus on languageswith rich resources,this study addresses the challenge of translating a sign language with limited *** conducted experiments using two datasets containing 1500 and 78,000 images,employing a methodology comprising four modules:data collection,pre-processing,categorization,and *** enhance prediction accuracy,each sign image was transformed into a greyscale image and underwent noise *** analysis with machine learning baseline methods(support vectormachine,GaussianNaive Bayes,randomforest,and k-nearest neighbors’algorithm)on the UrSL alphabets dataset demonstrated the superiority of UrSL-CNN,achieving an accuracy of ***,our model exhibited superior performance in Precision,Recall,and F1-score *** work not only contributes to advancing sign language translation but also holds promise for improving communication accessibility for individuals with hearing impairments.

关键词： Convolutional neural networks Pakistan sign language visual language

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Managing Registration of New Student Intake using ORNSIS-Integrated Barcode Technology

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Procedia - Social and Behavioral Sciences 2011年 28卷 144-150页

作者： A. Noraziah M.Syafiq Johari Tutut Herawan Roslina Mohd. Sidek Ho Cheong Lee Ahmed N. Abdalla Faculty of Computer Systems & Software Engineering University Malaysia Pahang Malaysia Faculty of Electrical & Electronic Engineering University Malaysia Pahang Malaysia

The rapid progress in education impacts the significant requirement to manage the educational globalization resources through the use of modern technology. In addition, an online system is the electronic interactive medium that delivers information to users via telephone lines to personal computers (PCs) or via cables to terminals. This paper presents on how to manage the registration of new student intake by using Online Registration New Student Intake System (ORNSIS). Integrated barcode technology with ORNSIS has been developed in order to overcome the manual system weakness, which involves the registration through the traditional methods and time consuming. Understanding the importance and limitations the register process, ORNSIS is a collaborative of web application concept that provides a platform for University Malaysia Pahang administrator to monitor the progress of each new student who did the register online. It has been developed by using the PHP language, Dreamweaver cs4 and database MySQL in the Windows 7. By using ORNSIS, the actual number of student will register in university can be obtain, thus decrease the time-consuming in registration event.

关键词： Barcode Automated identification Code 39 Online register Barcode Reader

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Reinforcement Learning based MIMO Controller for Virtual Inertia Control in Isolated Microgrids

Reinforcement Learning based MIMO Controller for Virtual Ine...

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2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022

作者： Skiparev, Vjatseslav Belikov, Juri Petlenkov, Eduard Levron, Yoash Tallinn University of Technology Department of Software Science Tallinn Estonia Tallinn University of Technology Department of Computer Systems Tallinn Estonia Technion Faculty of Electrical Engineering Haifa Israel

ISBN: (数字)9781665480321

ISBN: (纸本)9781665480321

In this paper, we propose a multi-input multi-output controller for optimal control of nonlinear energy storage, using deep reinforcement learning (DRL) algorithm. This controller provides the frequency support in an isolated microgrid with high penetration of variable renewable energy sources and varying system inertia. To achieve an optimal control we redesigned neural network of actor and critic, simplified deep deterministic policy gradient (DDPG) rules, and reorganized the reward/punishment system. Simulation results show the efficiency of the proposed virtual inertia control architecture in several scenarios. © 2022 IEEE.

关键词： Reinforcement learning

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Substantiating quality goals with field data for socially-oriented requirements engineering

Substantiating quality goals with field data for socially-or...

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10th International Conference on Autonomous Agents and Multiagent systems 2011, AAMAS 2011

作者： Pedell, Sonja Miller, Tim Sterling, Leon Vetere, Frank Howard, Steve Paay, Jeni Department of Information Systems University of Melbourne Australia Department of Computer Science and Software Engineering University of Melbourne Australia Faculty of ICT Swinburne University of Technology Australia University of Aalborg Department of Computer Science Denmark

ISBN: (纸本)9781618391018

We propose a method for using ethnographic field data to substantiate agent-based models for socially-oriented systems. We investigate in-situ use of domestic technologies created to encourage fun between grandparents and grandchildren separated by distance. The field data added an understanding of what intergenerational fun means when imbued with concrete activities. Our contribution is twofold. First, we extend the understanding of agent-oriented concepts by applying them to household interactions. Second, we establish a new method for informing quality goals with field data to enable development of novel applications in the domestic domain. Copyright © 2011, International Foundation for Autonomous Agents and Multiagent systems (***). All rights reserved.

关键词： Autonomous agents

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Proving Cloud SaaS Layer Security Vulnerabilities 2nd

Proving Cloud SaaS Layer Security Vulnerabilities

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2nd International Conference on Advanced Data and Information engineering, DaEng 2015

作者： Harun, Sulaiman Ameedeen, Mohamed Ariff Faculty of Computer Systems & Software Engineering University Malaysia Pahang KuantanPahang26300 Malaysia IBM Centre of Excellence University Malaysia Pahang KuantanPahang26300 Malaysia

ISBN: (纸本)9789811317972

Cloud computing is the new age of the ICT world and it is a powerful computing platform that enables individual and organizations to perform variety level of task with minimum costs. Cloud computing can provide a flexible IT architecture and environment, which are accessible through internet and can be access through a lightweight portable devices. In previous years, the number of people using cloud services had dramatically increased and lots of data had been stored inside the cloud computing environments. Apparently, the data that breaches into the cloud services had also increased every year. It is due to the hackers whom will always try to exploit the security vulnerabilities of the cloud’s architecture. Primarily, this paper describes the vulnerabilities in SaaS layer together with its attack possibilities. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Web services

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Evaluating effectiveness of risk identification and management using organisational models

Evaluating effectiveness of risk identification and manageme...

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IEEE International Conference on computer Research and Development

作者： Bhuiyan, Moshiur Rana, Sohel Krishna, Aneesh Decision Systems Laboratory School of Computer Science and Software Engineering University of Wollongong NSW 2522 Australia OptInfra Systems Sydney NSW Australia Department of Computing Faculty of Science and Engineering Curtin University of Technology Perth WA 6102 Australia

ISBN: (纸本)9781612848372

In this paper firstly we discuss an approach for supporting risk identification with the use of higher-level organizational models. We provide some intuitive metrics for extracting measures of actor criticality and vulnerability from organizational models. This helps direct risk management to areas of critical importance within organization models. Secondly, we provide details of an experiment that we conducted to evaluate our methodology. We believe our novel approach, will provide added benefits when used with other approaches to risk management during business process management, that do not reference the greater organizational context during risk assessment. © 2011 IEEE.

关键词： Risk management

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Integration of cultural dimensions into software localisation testing of assistive technology for deaf children

Integration of cultural dimensions into software localisatio...

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2011 5th Malaysian Conference in software engineering, MySEC 2011

作者： Ping, Tan Ping Chan, Chiu Po Sharbini, Hamizan Julaihi, Azlina Ahmadi Department of Computing and Software Engineering Faculty of Computer Science and Information Technology Universiti Malaysia Sarawak Malaysia Department of Information Systems Faculty of Computer Science and Information Technology Universiti Malaysia Sarawak Malaysia Department of Computer System and Comm. Technologies Faculty of Computer Science and Information Technology Universiti Malaysia Sarawak Malaysia

ISBN: (纸本)9781457715310

Lack of hearing ability hinders deaf children from mastering grammar in language studies. Unfortunately, such software targeting Malay language is limited. This paper attempts to generate new approach in handling such software. These include detection of defects when switching into local languages, date format and accommodating the local laws. The acceptance of international software for local use goes beyond just these aspects. For this purpose, software that supports the multi-languages is evaluated. The main research question of this paper: The lack of cultural dimensions in localisation testing of assistive technology decreases the effectiveness of localisation testing of the localised software. On the account of cultural dimensions, Hofstede's Cultural Dimensions will be experimented to study which cultural dimensions are most suited for such software. From our empirical results, the failure rate of the testing is higher compared to incorporating culture dimensions. © 2011 IEEE.

关键词： Audition

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Coordinated PI-based frequency deviation control of isolated hybrid microgrid: An online multi-agent tuning approach via reinforcement learning

Coordinated PI-based frequency deviation control of isolated...

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2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022

作者： Nosrati, K. Tepljakov, A. Petlenkov, E. Levron, Y. Skiparev, V. Belikov, J. Tallinn University of Technology Department of Computer Systems Tallinn Estonia Technion Faculty of Electrical Engineering Haifa Israel Tallinn University of Technology Department of Software Science Tallinn Estonia

ISBN: (数字)9781665480321

ISBN: (纸本)9781665480321

Numerous remote area applications welcome standalone renewable energy power generation systems or isolated microgrids (MGs). Due to the nature of solar and wind energy, the frequency deviation control (FDC) in hybrid MGs has become more complicated and critical than the conventional grid for power quality purposes. By using a coordination control strategy between a double-layered capacitor and a fuel cell, our mission here is to design a FDC system based on the PI controller which is tuned by an artificial neural network (ANN) in a multi-agent structure. To achieve this aim, a reinforcement learning technique is applied to train the ANN-based tuners. The performance of the proposed FDC system has been verified under different conditions by using real data to demonstrate the stability and robustness of the proposed controller. © 2022 IEEE.

关键词： Reinforcement learning

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A formulation of rod based nonlinear model predictive control of nuclear reaction with temperature effects and Xenon poisoning 23

A formulation of rod based nonlinear model predictive contro...

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23rd International Conference on Nuclear engineering: Nuclear Power - Reliable Global Energy, ICONE 2015

作者： Teatro, Timothy A.V. McNelles, Phillip Eklund, J. Mikael Department of Electrical Computer and Software Engineering University of Ontario Institute of Technology OshawaON Canada Faculty of Energy Systems and Nuclear Science University of Ontario Institute of Technology OshawaON Canada

ISBN: (纸本)9784888982566

This paper presents a formulation of a nonlinear model predictive controller for steering of a nuclear reaction in a pressurized water reactor via control rod displacement. The predictive model, based on point kinetic equations, includes an averaged delayed neutron group, thermal dependence on reactivity, heat exchange between temperature and moderator and Xenon poisoning. From the model, a finite horizon optimal control problem is cast in the form of a control Hamiltonian minimization. A basic gradient descent scheme is derived to solve the optimal control problem. The predictive model and gradient descent are used to form the basis from which the model predictive controller is formulated. Copyright © 2015 by JSME.

关键词： Model predictive control

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A static approach towards mobile botnet detection 3

A static approach towards mobile botnet detection

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3rd International Conference on Electronic Design, ICED 2016

作者： Anwar, Shahid Zain, Jasni Mohamad Inayat, Zakira Haq, Riaz Ul Karim, Ahmad Jabir, Aws Naser Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Gambang Malaysia Computer Science and Information Technology University Malaya Kuala Lumpur Malaysia University of Engineering and Technology Peshawar Pakistan Computer Science and Information Technology University Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9781509021604

The use of mobile devices, including smartphones, tablets, smart watches and notebooks are increasing day by day in our societies. They are usually connected to the Internet and offer nearly the same functionality, same memory and same speed like a PC. To get more benefits from these mobile devices, applications should be installed in advance. These applications are available from third party websites, such as google play store etc. In existing mobile devices operating systems, Android is very easy to attack because of its open source environment. Android OS use of open source facilty attracts malware developers to target mobile devices with their new malicious applications having botnet capabilities. Mobile botnet is one of the crucial threat to mobile devices. In this study we propose a static approach towards mobile botnet detection. This technique combines MD5, permissions, broadcast receivers as well as background services and uses machine learning algorithm to detect those applications that have capabilities for mobile botnets. In this technique, the given features are extracted from android applications in order to build a machine learning classifier for detection of mobile botnet attacks. Initial experiments conducted on a known and recently updated dataset: UNB ISCX Android botnet dataset, having the combination of 14 different malware families, shows the efficiency of our approach. The given research is in progress. © 2016 IEEE.

关键词： Android (operating system)

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