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arXiv 2021年

作者： Gupta, Akshansh Agrawal, Ramesh Kumar Kirar, Jyoti Singh Andreu-Perez, Javier Ding, Wei-Ping Lin, Chin-Teng Prasad, Mukesh School of Computer and Systems Sciences Jawaharlal Nehru University New Delhi India School of Computer Science and Electronic Engineering University of Essex United Kingdom Faculty of Medicine Imperial College London United Kingdom School of Computer and Technology Nantong University Nantong China Centre for Artifical Intelligence School of Software Feit University of Technology Sydney Australia

In this paper classification of mental task-root Brain-computer Interfaces (BCI) is being investigated, as those are a dominant area of investigations in BCI and are of utmost interest as these systems can be augmented life of people having severe disabilities. The BCI model's performance is primarily dependent on the size of the feature vector, which is obtained through multiple channels. In the case of mental task classification, the availability of training samples to features are minimal. Very often, feature selection is used to increase the ratio for the mental task classification by getting rid of irrelevant and superfluous features. This paper proposes an approach to select relevant and non-redundant spectral features for the mental task classification. This can be done by using four very known multivariate feature selection methods viz, Bhattacharya's Distance, Ratio of Scatter Matrices, Linear Regression and Minimum Redundancy & Maximum Relevance. This work also deals with a comparative analysis of multivariate and univariate feature selection for mental task classification. After applying the above-stated method, the findings demonstrate substantial improvements in the performance of the learning model for mental task classification. Moreover, the efficacy of the proposed approach is endorsed by carrying out a robust ranking algorithm and Friedman's statistical test for finding the best combinations and comparing different combinations of power spectral density and feature selection methods. © 2021, CC BY-NC-ND.

关键词： Feature extraction

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Ransomware: A framework for security challenges in internet of things 2

Ransomware: A framework for security challenges in internet ...

引用

2nd International Conference on computer and Information Sciences, ICCIS 2020

作者： Saeed, Soobia Jhanjhi, N.Z. Naqvi, Mehmood Humayun, Mamoona Ahmed, Shakeel Universiti Teknologi Malaysia Dept. of Software Engineering Malaysia Taylor's University Selangor Malaysia Faculty of Engineering Technology Mohawk College Canada Jouf University Dept. of Information Systems Al-Jouf Saudi Arabia King Faisal University Dept. of Computer Science Al-Hofuf Saudi Arabia

ISBN: (数字)9781728154671

ISBN: (纸本)9781728154671

With the increasing volume of smartphones, computers, and sensors in the Internet of Things (IoT) model, enhancing security and preventing ransom attacks have become a major concern. Traditional security mechanisms are no longer applicable due to the involvement of devices with limited resources, which require more computing power and resources. Ransomware is comparatively a new and cruel malware in cyberspace with higher rates of attacks around the world. Ransomware could encrypt entire data to make users unable to access their files and important information. In some cases, the system has been hostage completely by the hackers, and the user may receive a demand for ransom money using different resources o access of his/her own data/system. One of the problems associated with the Internet of Things is how to keep your smartphones secure and keep your data safe as most of the antivirus solutions are not useful in this case. This research concludes the impact of ransomware on the IoT, malware processes, and work on detecting and monitoring smartphone infections. The paper also discusses ransomware awareness to end-user with strategy to defeat it. © 2020 IEEE.

关键词： Smartphones

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Risk Assessment for Power Circuit Breaker by Using Failure Modes, Effects and Criticality Analysis

Risk Assessment for Power Circuit Breaker by Using Failure M...

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2020 International Conference on Power, Energy and Innovations, ICPEI 2020

作者： Promseela, Lineman Suwanasri, Cattareeya Saribut, Surapol Suwanasri, Thanapong Phadungthin, Rattanakorn King Mongkut's University of Technology North Bangkok Electrical and Computer Engineering Faculty of Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Electrical and Software Systems Engineering The Sirindhorn International Thai-German School of Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Electronics Engineering Technology College of Industrial Technology Bangkok Thailand

ISBN: (纸本)9781728172408

This paper explains risk assessment for circuit breaker utilization by using failure modes, effects, and criticality analysis (FMECA). The circuit breaker components are divided into three main parts such as live part, operating mechanism and insulation, and control device. FMECA is analyzed to 4 groups such as finance, safety, environment and efficiency. Finally, criticality is categorized into 4 levels such as low level, medium level, high level and highest risk level. Data collection and analysis were performed. The results of the criticality analysis will assist in making maintenance resource management decisions in order to avoid damage to the system with efficient usage of available or limited resources. © 2020 IEEE.

关键词： Failure modes

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Weather Data Analysis Using Hadoop: Applications and Challenges

Weather Data Analysis Using Hadoop: Applications and Challen...

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International Conference on Green engineering Technology and Applied Computing 2019, IConGETech2 019 and International Conference on Applied Computing 2019, ICAC 2019

作者： Adam Ibrahim Fakherldin, Mohammed Adam, Khalid Akma Abu Bakar, Noor Abdul Majid, Mazlina Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Malaysia Faculty of Electric and Electronic Engineering Universiti Malaysia Pahang Malaysia Faculty of Computer Science and Information Systems Jazan University Malaysia

Weather data is very crucial in every aspect of human daily life. It plays an important role in many sectors such as agriculture, tourism, government planning, industry and so on. Weather has a variety of parameters like temperature, pressure, humidity and wind speed. The meteorological department deployed sensors for each weather parameter at different geographical locations to collect data. This data is stored mostly in the unstructured format. Thus, a big amount of data has been collected and archived. Therefore, storage and processing of this big data for accurate weather prediction is a huge challenge. Hadoop an apache product it used to support big data sets in a distributed environment. Hadoop has greatest advantages over scalable and fault-tolerant distributed processing technologies. This paper explains a system that uses the historical weather data of a region and apply the MapReduce and Hadoop techniques to analysis these historical data. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Digital storage

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T

arXiv

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arXiv 2020年

作者： Aloufi, Khalid S. Alsewari, Abdulrahman A. Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Kuantan Mala sia26300 Department of Computer Engineering College of Computer Science and Engineering Taibah University Medina Saudi Arabia

This research presents a methodology for trusting the provenance of data on the web. The implication is that data does not change after publication and the source of the data is stable. There are different data that should not change over time, such as published information in books and similar documents as well as news or events reported on the web. If the data change after publication on the web, the web pages that reference the unstable data will lose points of interest or link to different resources. With the current move to linked data and the semantic web, this is becoming a greater obstacle to be solved. This research presents a methodology for establishing trusted information using an encoded reference of the data embedded in its URI, which creates a stable reference of the data and a method for ensuring its provenance stability. After applying the methodology, the results showed that the methodology is highly applicable and has no overhead cost over the loading time. The novel solution can be applied directly to any data portals or web content management systems. Copyright © 2020, The Authors. All rights reserved.

关键词： Websites

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Case study of designing and evaluating an independent open learner model tool

引用

Higher Education Pedagogies 2023年第1期8卷

作者： Check-Yee Law John Grundy Karola V. Baggo Andrew Cain Rajesh Vasa a Faculty of Information Science and Technology Multimedia University Melaka Malaysia b Department of Software Systems & Cybersecurity Monash University Clayton Australia c Department of Computer Sci and Software Engineering Swinburne University of Technology Hawthorn Australia d Faculty of Sci Eng & Built Env Deakin University Burwood Australia

ABSTRACTOpen Learner Model (OLM) visualisations capture and display a learner’s learning state such as knowledge levels, learning progress, and misconceptions. Exposing learners to their own models offers learners a perspective about their learning state. Numerous benefits have been reported include providing more opportunities for learners to collaborate, enhancing learning outcomes, and prompting learners to be more self-regulated. We describe a new independent OLM tool, Doubtfire++ that we have designed to support Task-Oriented Portfolio teaching to raise student awareness of their progress and achievements, and to encourage self-regulated learning. The results of our evaluation show that Doubtfire++ helped the teaching staff in creating a supportive learning environment and students felt supported and rewarded for learning in a self-regulated manner. We have identified several OLM visualizations that were perceived to assist self-regulated learning. We also have gained insightful inputs and feedback that lead to expanding its application to a broader context.

关键词： Constructive alignment learning outcome open learner model portfolio teaching self-regulated learning visualization

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From sensing to energy savings: A comprehensive survey on integrating emerging technologies for energy efficiency in WBANs

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Digital Communications and Networks 2024年

作者： Shumaila Javaid Hamza Fahim Sherali Zeadally Bin He Department of Control Science and Engineering College of Electronics and Information Engineering Tongji University Shanghai 201804 China National Key Laboratory of Autonomous Intelligent Unmanned Systems Tongji University Shanghai 201210 China Frontiers Science Center for Intelligent Autonomous Systems Shanghai 201210 China Department of Computer Science Faculty of Computer Sciences Ilma University Karachi 75190 Pakistan College of Communication and Information University of Kentucky Lexington KY USA Academy of Computer Science & Software Engineering University of Johannesburg Johannesburg South Africa

Energy is essential for human existence, and its high consumption is a growing concern in today's technology-driven society. Global initiatives aim to reduce energy consumption and pollution by developing and deploying energy-efficient sensing technologies for long-term monitoring, control, automation, security, and interactions. Wireless Body Area Networks (WBANs) benefit a lot from the continuous monitoring capabilities of these sensing devices, which include medical sensors worn on or implanted in the human body for healthcare monitoring. Despite significant advancements, achieving energy efficiency in WBANs remains a significant challenge. A deep understanding of the WBAN architecture is essential to identify the causes of its energy inefficiency and develop novel energy-efficient solutions. We investigate energy efficiency issues specific to WBANs. We discuss the transformative impact that artificial intelligence and Machine Learning (ML) can have on achieving the energy efficiency of WBANs. Additionally, we explore the potential of emerging technologies such as quantum computing, nano-technology, biocompatible energy harvesting, and Simultaneous Wireless Information and Power Transfer (SWIPT) in enabling energy efficiency in WBANs. We focus on WBANs' architecture, hardware, and software components to identify key factors responsible for energy consumption in the WBAN environment. Based on our comprehensive review, we introduce an innovative, energy-efficient three-tier architecture for WBANs that employs ML and edge computing to overcome the limitations inherent in existing energy-efficient solutions. Finally, we summarize the lessons learned and highlight future research directions that will enable the development of energy-efficient solutions for WBANs.

关键词： Artificial intelligence Energy Healthcare Sensors Wireless body area networks

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AN IMPROVED GENERIC ER SCHEMA FOR CONCEPTUAL MODELLING OF INFORMATION systems

arXiv

引用

arXiv 2020年

作者： Pieris, D. Wijegunasekera, M.C. Dias, N.G.J. Department of HRM Faculty of Commerce and Management Studies Department of Software Engineering Faculty of Computing and Technology Department of Computer Systems Engineering Faculty of Computing and Technology University of Kelaniya Sri Lanka

The Entity Relationship (ER) model is widely used for creating ER schemas for modelling application domains in the field of Information systems development. However, when an ER schema is transformed to a Relational Database Schema (RDS), some important information on the ER schema may not be represented meaningfully on the RDS. This causes loss of information during the transformation process. Although, several previous researches have proposed solutions to remedy the situation, the problem still exists. Thus, in this on-going research we wish to improve the proposed solutions and maximize information preservation in the ER to relational transformation process. Cardinality ratio constraints, role names, composite attributes, and certain relationship types are among the information frequently lost in the transformation process. Deficiencies in the ER model and the transformation method seems causing this situation. We take the view that if the information lost is resolved;a one-to-one mapping should exist from the ER schema to its RDS. We modified the ER model and the transformation algorithm following a heuristic research method with a view to eliminating the deficiencies and thereby achieving a one-to-one mapping. We should show that the mapping exists for any real world application. We create a generic ER schema - an ER schema that represents any phenomena in symbolic form - and use it to show that a one-to-one mapping exists for any real world application. In this paper, we explore our generic ER schema and its advantages over its predecessors in view of representing any real world application. Copyright © 2020, The Authors. All rights reserved.

关键词： Information use

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Mobile-based Intelligent Skin Diseases Diagnosis System 1

Mobile-based Intelligent Skin Diseases Diagnosis System

引用

1st International Conference of Intelligent Computing and engineering, ICOICE 2019

作者： Sallam, Amer Ba Alawi, Abdulfattah E. Al-Saced Faculty of Engineering IT Taiz University Computer Networks and Distributed Systems Dept Taiz Yemen Al-Saecd Faculty of Engineering IT Taiz University Software Engineering Dept Taiz Yemen

ISBN: (纸本)9781728144870

Skin diseases are the most common diseases in humans. The inherent variability in the appearance of skin diseases makes it hard even for medical experts to detect disease type from dermoscopic images. Recent advances in image processing using the Convolution Neural Networks have led to better results in diagnosing systems. We aim to develop an advanced diagnostic system in a manner that meets the requirements of real-Time and extensibility of medical services for skin disease detection. The proposed system provides offline diagnosis for the users who have not Internet connection or online diagnosing uses on-cloud service. The user captures the affected area and get the offline immediate report. The schema offers the users a communication window with dermatologists to get medical recommendations in addition to an online accurate diagnosis service. The new images that are labeled by dermatologists are used to retrain the model to enhance model accuracy. To maximize the number of users, the system is implemented in a mobile-based environment. With the growing numbers of portable apps, it becomes easy for people to obtain up-To-date data. Users are familiar with looking for answers from the virtual globe including health issues. The following experimental results demonstrate the feasibility of the proposed method. The average obtained accuracy is 83% in testing cases. © 2019 IEEE.

关键词： Diagnosis

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A Review on Type of Attacks on Fingerprint Image and Watermarking Techniques

A Review on Type of Attacks on Fingerprint Image and Waterma...

引用

International Conference on Green engineering Technology and Applied Computing 2019, IConGETech2 019 and International Conference on Applied Computing 2019, ICAC 2019

作者： Lebcir, Mohamed Awang, Suryanti Faculty of Computer Systems and Software Engineering University Malaysia Pahang UMP Lebuhraya Tun Razak Kuantan Pahang 26300 Malaysia

Fingerprint image watermarking techniques have several advantages over traditional security systems that based on token or knowledge. However, they are also vulnerable to attacks that can decrease their security. In this regard, this paper presents a study of a number of research studies on the attacks of fingerprint images watermarking techniques. The attacks can be categorized into intentional and unintentional. We study several attacks based on that category and several fingerprint image watermarking methods. We produce a comprehensive comparison of those methods to show how the methods able to prevent the attacks. We also discuss the advantages and disadvantages of the methods. Therefore, based on that, we can see what are the common attacks on the fingerprint image and what are the methods that efficient in preventing the attacks. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Image watermarking

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