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2022 International Conference on Cyber Resilience, ICCR 2022

作者： Ali Al-Jumaili, Ahmed Hadi Muniyandi, Ravie Chandren Hasan, Mohammad Kamrul Singh, Mandeep Jit Siaw Paw, Johnny Koh Universiti Kebangsaan Malaysia Faculty of Information Science and Technology Bangi43600 Malaysia University of Fallujah Computer Centre Department Anbar00964 Iraq Universiti Kebangsaan Malaysia Faculty of Engineering and Built Environment Department of Electrical Electronic and System Engineering Selango Bangi43600 Malaysia Universiti Tenaga Nasional Department of Electronic and Communication Engineering Selango Kajang Malaysia

ISBN: (纸本)9781665461221

Cyber-Physical Power system (CPPS) is one of the most critical infrastructure systems due to deep integration between power grids and communication networks. In the power system, cascading failure is spreading more readily in CPPS, even leading to blackouts as well as there are new difficulties with the power system security simulation and faults brought by physical harm or network intrusions. The current study summarized the cross- integration of several fields such as computer and cyberspace security in terms of the robustness of Cyber-Physical systems, viewed as Interconnected and secure network systems. Therefore, the security events that significantly influenced the power system were evaluated in this study, besides the challenges and future directions of power system security simulation technologies were investigated for posing both challenges and opportunities for simulation techniques of power system security like building a new power system to accelerate the transformation of the existing energy system to a clean, low-carbon, safe, and efficient energy system which is used to assure power system stability through fusion systems that combine the cyber-physical to integrate the battery power station, power generation and renewable energy resources through the internet with the cyber system that contains Smart energy system control and attacks. © 2022 IEEE.

关键词： Cyber Physical system

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Empowering Human-Machine communication in Code Generation with NLP

Empowering Human-Machine Communication in Code Generation wi...

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Recent Trends in computer Science and Technology (ICRTCST), International Conference on

作者： Upendra Singh Aswal Pappala Mohan Rao B. R. Supreeth G. Manikandan R. Srinivasan Mohit Tiwari Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun Uttarakhand India Computer Science and System Engineering Andhra University College Of Engineering AU College Of Engineering Visakhapatnam AP Department of Computer Science Oxford Degree and PG College Sir. M. Visveshwaraiah Layout Ullal Bangalore Department of Electronics and Communication Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Thandalam India Department of Computer Science and Engineering St. Martins Engineering College Secunderabad Telangana Department of Computer Science and Engineering Bharati Vidyapeeth’s College of Engineering Paschim Vihar Delhi

ISBN: (数字)9798350351378

ISBN: (纸本)9798350351385

The symbiotic interaction between people and computers in the realm of software development is experiencing a fundamental transition, spurred by improvements in Natural Language Processing (NLP). This study investigates how natural language processing (NLP) is changing the software development process by facilitating better human-machine collaboration throughout the coding phase. Data collection, NLP model creation, and assessment are all part of the rigorous process used in our work, which yields important results. The possibility for improving code quality and efficiency while also democratizing code production is discussed in the context of a fictional situation. Ethical concerns are also highlighted, along with the need to minimize bias in NLP-driven code production. To the benefit of developers, organizations, and society at large, this study not only adds empirical insights but also imagines a future in which software development is more inclusive, efficient, and morally responsible. From improved natural language processing models to real-time feedback loops and multimodal techniques, the future of this transforming discipline promises to further influence the landscape of software development.

关键词： Symbiosis Codes Human-machine systems Computational modeling Production Organizations Market research

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Advancements in Wireless Networks: Transition from 5G to Beyond

Advancements in Wireless Networks: Transition from 5G to Bey...

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Emerging Research in Computational Science (ICERCS), International Conference on

作者： Gunasekaran Thangavel C. Malarvizhi M. Ameena Banu Arun Anthonisamy M. Hemalatha Raja Manikandan Department of Electronics and Communication Engineering University of Technology and Applied Sciences Muscat Sultanate of Oman Department of Electronics and Communication Engineering Rajalakshmi Institute of Technology Chembarambakkam India Department of Electronics and Communication Engineering NPR College of Engineering and Technology Natham India Department of Computer Science and Business System Panimalar Engineering College Chennai Tamil Nadu India Department of Information Technology Nandha Arts and Science College Erode Tamil Nadu India Department of ECE K. Ramakrishnan College of Technology Trichy Tamil Nadu India

ISBN: (数字)9798331534967

ISBN: (纸本)9798331534974

Earlier generations of mobile technology experienced exponential growth in mobile customers, disruptive ecosystems like Internet of Things applications, and massive channel capacity needed to connect trillions of devices. 5G networks are a vital solution. 5G aims to provide 10 Gbps to a single user, as well as quality of service, increased spectrum efficiency, ultra-reliable communication, extended device battery life, massive machine-type communication (mMTC), and a 1000-fold capacity gain. Due to the heavy traffic volume and high resource consumption of 5G applications like augmented reality (AR), virtual reality (VR), and wireless body area networks, there are major barriers to channel capacity and potential service disruptions for other users. New strategies are needed to increase spectral efficiency and channel capacity. This paper explores many major new wireless technologies that aim to increase spectral efficiency and channel capacity to meet growing user demands and improve network performance. This paper also examines these technologies’ benefits and research challenges. Massive Multi-Input Multi-Output (mMIMO) technology’s effectiveness and potential distinguish it for 5G and Beyond 5G (B5G) networks, offering a variety of benefits and characteristics. This article can also assist researchers who are conducting in-depth studies, as well as wireless network operators who aim to streamline the development of 5G and B5G networks.

关键词： Technological innovation 5G mobile communication Channel capacity Spectral efficiency Array signal processing Wireless networks Signal processing algorithms Throughput Millimeter wave communication Ultra-dense networks

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A Flexible Wideband Microstrip Antenna on TPU Substrate Using Inset Slot Feed and Partial Ground Plane

A Flexible Wideband Microstrip Antenna on TPU Substrate Usin...

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IEEE Symposium on Wireless Technology and Applications (ISWTA)

作者： Aiman Hakimi Rahimi Sarah Yasmin Mohamad Norun Farihah Abdul Malek Md Rafiqul Islam Nur Shahida Midi Nurain Izzati Shuhaimi Department of Electrical and Computer Engineering Microwave Communication and Information System Engineering Research Group (MCISE) Kulliyyah of Engineering International Islamic University Malaysia Gombak Selangor Darul Ehsan School of Electrical Engineering College of Engineering Universiti Teknologi MARA Shah Alam Selangor Darul Ehsan

ISBN: (数字)9798350351354

ISBN: (纸本)9798350351361

This paper aims to present a flexible and wideband microstrip antenna on a Thermoplastic Polyurethane (TPU) substrate. TPU is used as the substrate in designing the flexible antenna due to its high flexibility, elasticity, and strength properties. The characteristic of the antenna is further enhanced by inserting inset slot feed and using a partial ground plane to improve the resonant frequency and realize a wide bandwidth, respectively. The performance of the proposed antenna is analyzed and compared with a common antenna design method which typically produces a narrower bandwidth. The antenna shows promising results resonating from 7.5 to 10.2 GHz with a percentage increase of 17.4% in terms of bandwidth, and greater return loss along the operating frequency range.

关键词： Antenna measurements Slot antennas Patch antennas Resonant frequency Microstrip antennas Antenna feeds Microstrip components

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Adaptive Varying Contention Window MAC Protocol Based on Underwater Acoustic Propagation Delay

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IEEE Sensors Journal 2023年第13期23卷 15019-15031页

作者： Guo, Yongan Obaidat, Mohammad S. Guo, Jing Wu, Tin-Yu Tey, Fu Jie Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks Ministry of Education College of Telecommunications and Information Engineering Nanjing210003 China The King Abdullah II School of Information Technology University of Jordan Amman11942 Jordan The School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China Amity University UP Noida201301 India Nanjing University of Posts and Telecommunications College of Telecommunications and Information Engineering Nanjing210003 China National Pingtung University of Science and Technology Department of Management Information Systems Pingtung912301 Taiwan National Taiwan University of Science and Technology Department of Electrical Engineering Taipei106335 Taiwan

Underwater acoustic wave propagation time delay and fluctuations are much greater than radio waves. However, many of the protocols used for underwater acoustic networking and communication are designed according to the principles of terrestrial wireless communication networks, failing to give full consideration to utilizing the underwater acoustic propagation and its time delay variation. For this reason, this article proposes an adaptive varying contention window media access control (AVCW-MAC) protocol based on propagation delay. The protocol uses AVCW random backoff mechanism to differently set up the CW of each node based on the different propagation delays from each underwater sensor node to the cluster head node to improve the channel utilization. In addition, to avoid excessive difference in the CW of each node, the backoff factors K1 and K2 are introduced in the AVCW random backoff mechanism to improve the fairness of nodes' accessing the channel. Simulation results show that for the same amount of sensor nodes, the AVCW-MAC protocol has significantly improved network throughput and decreased average end-to-end latency when compared to legacy CW-MAC protocols. © 2001-2012 IEEE.

关键词： Underwater acoustics

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Edge Computing Resource Management Based on Genetic Algorithm

Edge Computing Resource Management Based on Genetic Algorith...

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International Conference on Electronics Information and Emergency communication

作者： Lei Cai Kangning Yao Wenbin Xian Chao Gong The 4th System Department North China Institute of Computing Technology Beijing China Computer and Communication Engineering University of Science and Technology Beijing Beijing China

Resource management in edge computing has always been a hot research topic. In the scenario of multiple edge servers and multiple tasks, this paper proposes a task offloading model that optimizes the total cost by weighting energy consumption and latency to reduce energy consumption and latency. Based on the proposed task offloading model, an improved genetic algorithm is proposed to solve the optimal task offloading strategy. Simulation experiments have shown that applying improved genetic algorithms to task offloading models can accelerate convergence speed, find the optimal computing offloading strategy, and improve system performance.

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Energy-Efficient Resource Management for Multi-UAV NOMA Networks Based on Deep Reinforcement Learning

Energy-Efficient Resource Management for Multi-UAV NOMA Netw...

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IEEE Conference on Vehicular Technology (VTC)

作者： Xiangda Lin Helin Yang Kailong Lin Liang Xiao Zhaoyuan Shi Wanting Yang Zehui Xiong Department of Information & Communication Engineering Xiamen University Xiamen China School of Computer and Information Anqing Normal University Anhui China Pillar of Information System Technology & Design Singapore University of Technology and Design Singapore

ISBN: (数字)9798350387414

ISBN: (纸本)9798350387421

Cellular-connected unmanned aerial vehicles (UAVs) play an essential role in cellular networks. Combined with non-orthogonal multiple access (NOMA) technique, UAVs can provide better performance in various communication scenarios. In this paper, we investigate a NOMA-enhanced UAV-assisted cellular network where multiple UAVs are deployed as aerial base stations to provide communication services for mobile ground users in the presence of a malicious jammer. We propose a two-step learning-based resource scheduling approach. First, an algorithm based on K-means clustering is proposed to partition ground users (GUs) to reduce mutual interference. Moreover, a cooperative multi-agent twin delayed deep deterministic algorithm is proposed to jointly optimize UAVs' trajectories, power allocation and GU association to maximize the system energy efficiency (EE) while guaranteeing minimum quality-of-service (QoS) requirements. Extensive results demonstrate that the proposed solution can efficiently improve EE and QoS performances under jamming attacks compared with existing popular approaches.

关键词： Cellular networks NOMA Vehicular and wireless technologies Clustering algorithms Quality of service Energy efficiency Partitioning algorithms

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Adaptive Score Normalization using Machine Learning for enhanced Fingerprint Recognition

Adaptive Score Normalization using Machine Learning for enha...

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Self Sustainable Artificial Intelligence systems (ICSSAS), International Conference on

作者： Neeraj Bhargava Pramod Singh Rathore Ankur Goswami Apoorva Bhowmick Jatin Singh School of Engineering & System Sciences MDS University Ajmer India Department of Computer and Communication Engineering Manipal University Jaipur India Department of Computer Applications Govt. Engineering College Bikaner India Information Systems Officer United Nations Secretariate New Yourk NY 10017 USA Baghdad Iraq MDS University Ajmer India

ISBN: (数字)9798350368413

ISBN: (纸本)9798350368420

Fingerprint identification systems play a vital role in biometric security but are often influenced by fluctuations in scanning settings and environmental variables. The conventional normalizing techniques such as Min-Max, Z-Score, and Tanh normalization provide fixed solutions that do not adjust to these variations, therefore degrading the accuracy and resilience of the results. This study presents a machine learning-based adaptive normalization system that seamlessly adapts to present circumstances by integrating contextual information, such as ambient variables and scanner-specific features, with raw fingerprint scores. The procedure includes the gathering of data, doing preprocessing, training models using decision trees, random forests, and neural networks, and implementing dynamic normalization. Comprehensive testing conducted on several scanners and settings has shown the efficacy of this method, demonstrating substantial improvements in both recognition accuracy and resilience. Assessment measures such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and R 2 Score validate the higher efficacy of this adaptive approach in comparison to static methods, thereby improving operational adaptability and establishing a basis for wider biometric identification applications.

关键词： Training Adaptation models Accuracy Biological system modeling Fingerprint recognition Predictive models Robustness Security Resilience Testing

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Reflection Coefficient Variation based on the Configuration of Integrated Antenna and Reflecting Surface at 3.5 GHz

Reflection Coefficient Variation based on the Configuration ...

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International Symposium on Antennas and Propagation (ISAP)

作者： Siti Zainab Mohd Hamzah Norun Farihah Abdul Malek Firdaus Taqiyuddin Ahamad Sarah Yasmin Mohamad Mohd Haizal Jamaluddin Electrical and Computer Engineering Department Kulliyyah of Engineering Microwave Communication and Information System Engineering Research Group (MCISE RG) International Islamic University Malaysia Kuala Lumpur Malaysia Wireless Communication Centre Faculty of Electrical Engineering University of Technology Malaysia Johor Bahru Johor Malaysia

This work offers a low profile, and enhanced microstrip patch antenna for 5G and Wi-Max applications. The proposed design is based on a patch antenna embedded with reflective surface metamaterial consisting of an array of 5 × 5 elements. The simulated and measured of S11 has been observed to determine its performance. The advancement of Frequency Selective Surface (FSS) evolution known as Reflective Surface (RS) metamaterial has been adopted to integrate with the patch antenna. This design has a small size of 107 mm × 107 mm. Furthermore, it has been integrated with the microstrip patch antenna under two different configurations which provides a variation performance antenna in terms of reflection coefficient for both configuration 1 and configuration 2, at the operating frequency of 3.5 GHz. For configuration 1, no significant changes have been observed. While in configuration 2, the resonant frequency of the patch antenna has been shifted up and down with the best S11 is -40dB at 3.4 GHz

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Social Robots in the Stuttering Clinic: A Human-Centred Exploration with Speech Language Pathologists 14th

Social Robots in the Stuttering Clinic: A Human-Centred Ex...

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14th International Conference on Social Robotics, ICSR 2022

作者： Chandra, Shruti Loucks, Torrey Castaneda, Gerardo Chavez Dautenhahn, Kerstin Department of Electrical and Computer Engineering University of Waterloo WaterlooON Canada Faculty of Rehabilitation Medicine University of Alberta Edmonton Canada Department of Communication Sciences and Disorders Jacksonville University JacksonvilleFL United States System Design Engineering Department University of Waterloo 200 University Ave WaterlooONN2L3G1 Canada

ISBN: (纸本)9783031246692

This research aims to explore the feasibility of integrating social robots as a tool for speech-language pathologists in stuttering intervention. This research followed an exploratory, human-centred approach leveraging the Double Diamond Design Process Model. In this study, we employed co-design tools, including a survey, one-to-one semi-structured expert interviews and a focus group to understand challenges frequently reported by speech-language pathologists and discuss opportunities for social robots to face some of these challenges. The qualitative results of our study revealed five major themes, pointing towards several avenues for social robots to aid speech-language pathologists and their clients over the course of a stuttering intervention program. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Machine design

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