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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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EER: Enterprise expert ranking using employee reputation

arXiv

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arXiv 2020年

作者： Mahmood, Saba Ghani, Anwar Daud, Ali Saqlain, Syed Muhammad Department of Computer Science and Software Engineering International Islamic University Islamabad Department of Computer Science Bahria University Islamabad Department of Information Systems and Technology College of Computer Science and Engineering University of Jeddah Jeddah Saudi Arabia

The emergence of online enterprises spread across continents, have given rise to the need of expert identification in this domain. Scenarios that includes the intention of the employer to find tacit expertise and knowledge of an employee that is not documented or self-disclosed has been addressed in this article. The existing reputation based approaches towards expertise ranking in enterprises utilize pagerank ,normal distribution and hidden markov model for expertise ranking. These models suffer issue of negative referral, collusion ,reputation inflation and dynamism. The authors have however proposed a Bayesian approach utilizing beta probability distribution based reputation model for employee ranking in enterprises. The experimental results reveal improved performance compared to previous techniques in terms of Precision and Mean Average Error (MAE) with almost 7% improvement in precision on average for the three data sets. The proposed technique is able to differentiate categories of interactions in dynamic context. The results reveal that the technique is independent of the rating pattern and density of data. Copyright © 2020, The Authors. All rights reserved.

关键词： Personnel

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A regularized CNN approach for detecting cervical cancer

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AIP Conference Proceedings 2024年第1期3220卷

作者： Jesse Jeremiah Tanimu Mohamed Hamada Mohammed Hassan Tsentob Joy Samson Jane Simon Parah Department of computer Science Bayero Unoiversity Kano Kano Nigeria Division of information systems University of Aizu Aizu Japan Department of Software Engineering Bayero University Kano Kano Nigeria Department of computer Science Air Force Institute of Technology Kaduna Kaduna Nigeria Department of Mathematical and Physical Science Glorious Vision University Ogwa Benin Nigeria

This study delved into leveraging deep learning techniques to classify different types of cervical cancer images, recognizing the disease’s prevalence and criticality. We employed a dataset comprising cervical images and investigated the utilization of the VGG16 model as a foundational architecture. To enhance performance, we incorporated various improvements, such as L2 regularization and data augmentation. The outcomes underscored the efficacy of these enhancements, with the refined model achieving a remarkable accuracy of 94%, surpassing the VGG16 model’s baseline accuracy of 89%. These findings demonstrate the potential of deep learning to improve the classification of cervical cancer.

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Methods of On-Line Computation Acceleration in systems with Direct Connection between Units

Methods of On-Line Computation Acceleration in Systems with ...

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IEEE International Conference on Dependable systems, Services and Technologies (DESSERT)

作者： Valerii Zhabin Valentina Zhabina Department of Computer Engineering Igor Sikorsky Kyiv Polytechnic Institute Kyiv Ukraine Department of Computer Systems Software Igor Sikorsky Kyiv Polytechnic Institute Kyiv Ukraine

ISBN: (数字)9781728199573

ISBN: (纸本)9781728199580

A possibility to increase the effectiveness of the parallel systems with direct connections by means of data between computation units, which are connected one to another in accordance with data flow graph, is considered. Operations correspond to the graph vertices and data correspond to the graph arcs. In the computation units operations are performed in redundant symmetric number system. It enables to overlap digit-by-digit input of operands, their processing and digit-by-digit output starting with the high digits. A result digit we get does not require further correction and can be used as an operand digit within the next computation cycle in other computation units. It gives an opportunity to perform sequences of operations connected by means of data in the concurrency mode at the level of operand digit processing. An algorithm and a structure of a computation unit, which permits to form a result digit within one tact, are proposed. Dependence of the operation execution time on the number system base is considered. It is shown that due to digit-by-digit data representation the required number of internal connections between the units, as well as of the chip pinouts, is reduced.

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Blocks' Network: Redesign architecture based on blockchain technology 2

Blocks' Network: Redesign architecture based on blockchain t...

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2nd IEEE International Conference on Industrial Internet Cloud, ICII 2019

作者： Hanif, Moataz Song, Houbing Department of Electrical Computer Software and Systems Engineering Embry-Riddle Aeronautical University Daytona BeachFL32114 United States

ISBN: (纸本)9781728129778

The internet is a global network that uses communication protocols. It is considered the most important system reached by humanity, which no one can abandon [1]. However, this technology has become a weapon that threatens the privacy of users, especially in the client-server model, where data is stored and managed privately. Additionally, users have no power over their data that store in a private server, which means users' data may interrupt by government or might be sold via service provider for-profit purposes. Furthermore, blockchain is a technology that we can rely on to solve issues related to client-server model if appropriately used. However, blockchain technology uses consensus protocol, which is used for creating an incontrovertible system of agreement between members across a distributed network [2]. Thus, the consensus protocol is used to slow all member down from generating too fast in order to control the network creation pattern, which leads to scalability and latency problems. This paper will present a platform that leverages modernize blockchain called Blocks' Network. The system is taking into consideration the issues related to privacy and confidentiality from the client-side model, and scalability and latency issues from the blockchain technology side. Blocks' network is a public and a permissioned network that use a multi-dimensional hash to generate multiple chains for the purpose of a systematic approach. The proposed platform is users' assembly point to create a decentralized network via P2P protocols. The system has a high data flow due to frequent use by participants (e.g., the use of the Internet). Besides, the system will store all traffic of the network overtly via Blocks' Network. © 2019 IEEE.

关键词： Blockchain

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A proof-of-majority consensus protocol for blockchain-enabled collaboration infrastructure of 5G network slice brokers 2

A proof-of-majority consensus protocol for blockchain-enable...

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2nd ACM International Symposium on Blockchain and Secure Critical Infrastructure, BSCI 2020, Co-located with AsiaCCS 2020

作者： Lin, Wenmin Xu, Xiaolong Qi, Lianyong Zhang, Xuyun Dou, Wanchun Khosravi, Mohammad R. Institute of VR and Intelligent Systems Alibaba Business School Hangzhou Normal University Hangzhou China Nanjing University of Information and Technology Nanjing China Qufu Normal University Rizhao China Department of Computing Macquarie University Sydney Australia State Key Laboratory of Novel Software Department of Computer Science and Technology Nanjing University Nanjing China Department of Electrical and Electronic Engineering Shiraz University of Technology Shiraz Department of Computer Engineering Persian Gulf University Bushehr Iran

ISBN: (纸本)9781450376105

With network slicing technology, 5G changes the classical mobile network business model from a network-operator-oriented business to a more open system with multiple stakeholders. In this context, a network slice broker plays the role of agency between network resource providers and vertical service providers, to lease and provide on-demand network slice services. In practice, a single network slice broker normally owns limited types of network slices. And a collaboration infrastructure could be built up to enable network slice sharing among multiple network slice brokers, so as to improve user experience, and enhance the resource utilization rate. However, a major challenge with such an infrastructure is how to support fair and secure slice trading process among multiple un-trusted network slice providers. Blockchain technology, on the other side, brings in high opportunities to implement a fair and secure trading system without a trusted third-party. In view of this observation, this paper proposes a design of blockchain-enabled collaboration infrastructure for network slice brokers, where a group of registered brokers can trade their network slices in a fair and secure manner. To enhance the accountability of slice trading records, transactions are verified and sorted by each broker node, which are further packed into blocks and appended to a shared ledger maintained by each member in the collaboration network. More specifically, we design a Proof-of-Majority (PoM) consensus protocol to sort slice trading transactions before packing transaction blocks of the shared ledger. Furthermore, an optimization for the basic PoM protocol is discussed, with dependency resolving strategy to improve system performance. Experiments are conducted to verify the feasibility of our proposal. © 2020 ACM.

关键词： 5G mobile communication systems

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Preface

Lecture Notes on Data Engineering and Communications Technol...

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Lecture Notes on Data engineering and Communications Technologies 2023年 178卷 v-viii页

作者： Faure, Emil Danchenko, Olena Bondarenko, Maksym Tryus, Yurii Bazilo, Constantine Zaspa, Grygoriy Department of Information Security and Computer Engineering Cherkasy State Technological University Cherkasy Ukraine Department of Computer science and Systems Analysis Cherkasy State Technological University Cherkasy Ukraine Department of Instrumentation Mechatronics and Computerized Technologies Cherkasy State Technological University Cherkasy Ukraine Department of Software of Automated Systems Cherkasy State Technological University Cherkasy Ukraine

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Reasoning like human: Hierarchical reinforcement learning for knowledge graph reasoning 29

Reasoning like human: Hierarchical reinforcement learning fo...

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29th International Joint Conference on Artificial Intelligence, IJCAI 2020

作者： Wan, Guojia Pan, Shirui Gong, Chen Zhou, Chuan Haffari, Gholamreza School of Computer Science Institute of Artificial Intelligence National Engineering Research Center for Multimedia Software Wuhan University China Faculty of Information Technology Monash University Australia School of Computer Science and Engineering Nanjing University of Science and Technology China Department of Computing Hong Kong Polytechnic University Hong Kong Academy of Mathematics and Systems Science Chinese Academy of Sciences China

ISBN: (纸本)9780999241165

Knowledge Graphs typically suffer from incompleteness. A popular approach to knowledge graph completion is to infer missing knowledge by multi-hop reasoning over the information found along other paths connecting a pair of entities. However, multi-hop reasoning is still challenging because the reasoning process usually experiences multiple semantic issue that a relation or an entity has multiple meanings. In order to deal with the situation, we propose a novel Hierarchical Reinforcement Learning framework to learn chains of reasoning from a Knowledge Graph automatically. Our framework is inspired by the hierarchical structure through which a human being handles cognitionally ambiguous cases. The whole reasoning process is decomposed into a hierarchy of two-level Reinforcement Learning policies for encoding historical information and learning structured action space. As a consequence, it is more feasible and natural for dealing with the multiple semantic issue. Experimental results show that our proposed model achieves substantial improvements in ambiguous relation tasks. © 2020 Inst. Sci. inf., Univ. Defence in Belgrade. All rights reserved.

关键词： Knowledge graph

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Incorporating a Virtual Reality Environment in the Teaching of Analysis of software Requirements 49

Incorporating a Virtual Reality Environment in the Teaching ...

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49th IEEE Frontiers in Education Conference, FIE 2019

作者： Ochoa, Omar Babbit, Adam Embry-Riddle Aeronautical University Department of Electrical Computer Software Systems Engineering Daytona BeachFL32114 United States

ISBN: (纸本)9781728117461

This Work in Progress paper in the Innovative Practice Category presents an approach to incorporate the use of a virtual reality environment in the teaching of analysis of software requirements through modeling. Common models include use case diagrams, state charts, data flow diagrams, etc., all serving their own role in defining different perspectives of a system. These different perspectives of the same system can be a powerful technique to facilitate the analysis of requirements about the system. Using a virtual reality environment allows for the linking of multiple perspectives from the separate analysis models to be viewed in three dimensions. This approach can be particularly beneficial to students in learning how to analyze models by providing a mechanism to examine the visual relationship between the perspectives. Using this approach allows the student to view, create, manipulate, and alter models within the native three-dimensional space, which can provide an indepth experience better suited for learning. The virtual reality environment also allows models to be nested to provide better abstractions and layered to provide a level of complexity impossible to replicate in the traditional two-dimensional space. This paper explores a prototype virtual reality environment to facilitate the use of software requirement models for undergraduate software engineering students. As part of this work, students will be exposed to the tool and tasked with using the virtual reality environment to analyze the models of systems. Assessment of the use of the approach will be conducted and results will be presented including feedback from the students, benefits found, insights and potential ways to evolve the approach for other areas such as design or testing. © 2019 IEEE.

关键词： Students

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Using Internet of Things Technologies to Ensure Cargo Transportation Safety

Using Internet of Things Technologies to Ensure Cargo Transp...

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IEEE International Conference on Dependable systems, Services and Technologies (DESSERT)

作者： Igor Shostak Mariia Danova Olga Morozova Tamara Kliuieva Department of Software Engineering National Aerospace University "KhAI" Kharkiv Ukraine Department of Computer Systems National Aerospace University "KhAI" Kharkiv Ukraine

ISBN: (数字)9781728199573

ISBN: (纸本)9781728199580

The article is devoted to the problem of automatic monitoring of the driver's physical conditions while driving. The purpose of this article is to describe an approach to recognizing driver fatigue using a video camera mounted on the front panel of a vehicle, which allows recording facial expressions of a driver's face for further analysis by managers of logistic company and using of the received information by Internet of Things objects in the freight management system. The system will allow managers of the logistics company to gain access to the movements of each driver and to statistics of dangerous conditions recorded during the trip, which, in turn, will allow to control the routes, compliance with traffic rules, as well as the work and rest of the drivers of the logistics companies.

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