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IEEE Open Journal of the communications Society 2025年 6卷 4608-4623页

作者： Zhengchuan Chen Junyao Zhu Nikolaos Pappas Lyutianyang Zhang Min Wang Chaowei Tang Tony Q. S. Quek School of Microelectronics and Communication Engineering Chongqing University Chongqing China The Department of Computer and Information Science Linköping University Linköping Sweden School of Optoelectronics Engineering Chongqing University of Posts and Telecommunications Chongqing China Information System Technology and Design Pillar Singapore University of Technology and Design Tampines Singapore

Multi-path transmission is promising in improving the freshness of information received in status-updating systems. However, multi-path transmission results in out-of-order arrivals at the monitoring point, which poses significant challenges to the analysis of freshness. This work analyzes the age of information (AoI) of a multi-path transmission non-preemptive system where multiple servers can deliver the information generated from a source to a common monitor. Two systems are considered: the homogeneous M/M/n/n non-preemptive system, where the arrival rates and service rates are identical across servers, and the heterogeneous M/M/2/2 non-preemptive system, where the service rates of all servers are different. We employ the stochastic hybrid systems (SHS) approach to characterize the average AoI of the systems and derive an explicit expression for the average AoI in both homogeneous and heterogeneous cases. Numerical results verify the effectiveness of the analysis. It is shown that when the number of servers increases in powers of 2, the most significant reduction in the average AoI occurs when the number of servers changes from 1 to 2. Besides, the numerical results confirm that the M/M/2/2 non-preemptive system is superior to the M/M/1/1 dual-queue system in terms of average AoI.

关键词： Servers Monitoring Queueing analysis Real-time systems Information age Receivers Out of order Measurement Transportation Mathematical models

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Intelligent Energy-Efficient and Fair Resource Scheduling for UAV-Assisted Space-Air-Ground Integrated Networks Under Jamming Attacks

Intelligent Energy-Efficient and Fair Resource Scheduling fo...

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IEEE Conference on Vehicular Technology (VTC)

作者： Shihao Chen Helin Yang Liang Xiao Changyuan Xu Xianzhong Xie Wanting Yang Zehui Xiong Department of Information & Communication Engineering Xiamen University Xiamen China Chongqing Key Laboratory of Computer Network and Communication Technology Chongqing University of Posts and Telecommunications Chongqing China Pillar of Information System Technology & Design Singapore University of Technology and Design Singapore

ISBN: (数字)9798350387414

ISBN: (纸本)9798350387421

The space-air-ground integrated network (SAGIN) is a crucial technology for sixth-generation (6G) wireless communication networks to achieve seamless coverage and high throughput. In this paper, we propose an unmanned aerial vehicle (UAV)-assisted SAGIN structure, where the UAV is responsible for collecting data from ground users (GUs) and transmitting it to low-earth orbit (LEO) satellites. This paper also formulates a joint energy-efficient and fair resource scheduling optimization problem under jamming attacks and limited energy constraints, where the line-of-sight (LoS) links between the UAV and GUs are susceptible to being jammed. Due to the non-convex problem and dynamic environments, a deep reinforcement learning (DRL)-based twin delayed deep deterministic policy gradient (TD3) is developed to search optimal UAV trajectory to maximize energy efficiency (EE) and fairness against jamming. Simulation results verify that the proposed intelligent resource scheduling algorithm outperforms the baseline algorithms in terms of EE and fairness index in different settings.

关键词： Wireless communication Vehicular and wireless technologies Simulation Autonomous aerial vehicles Space-air-ground integrated networks Energy efficiency Trajectory

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Identification of Key Signaling Pathways and Novel Computational Drug Target for Depression and Coronary Artery Disease

Identification of Key Signaling Pathways and Novel Computati...

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Computing, Applications and systems (COMPAS), IEEE International Conference on

作者： Md. Faruk Hosen Md. Abul Basar Mst. Farjana Yasmin Monir Morshed Muhammad Shahin Uddin Department of Computing and Information System Daffodil International University Dhaka Bangladesh Department of Computer Science and Engineering Uttara University (UU) Dhaka Bangladesh Department of Information and Communication Technology Mawlana Bhashani Science and Technology University Tangail Bangladesh

ISBN: (数字)9798331529765

ISBN: (纸本)9798331529772

Psychological disorders, such as anxiety, bipolar disorder, panic disorder, stress, depression, and schizophrenia, are increasingly prevalent worldwide. Among these conditions, depression is particularly notable as one of the most common and debilitating neuropsychiatric disorders. Individuals with depression may be at a higher risk of developing oronary Artery Disease (CAD). Depression can contribute to poor lifestyle choices, such as unhealthy eating, lack of exercise, and smoking, which are risk factors for CAD. The emotional stress and anxiety associated with depression can strain the heart and exacerbate CAD symptoms. The relationship is not one-sided. CAD itself can be a significant source of emotional distress, leading to symptoms of depression and anxiety in affected individuals. Managing both conditions in tandem can be complicated. Treating CAD may involve medications, lifestyle modifications, and potentially surgical interventions. Meanwhile, depression often requires therapy, counseling, and medication. Coordinating care and addressing both conditions simultaneously is crucial. In our study, we investigated the molecular connections between CAD and Depression using GSE98793 and GSE20681 microarray datasets. After preprocessing, we identified key hub genes, including CCT2, SVIL, REPS2, ASPH, and UBC, in the shared ProteinProtein Interaction network. KEGG pathways linked these DEGs to colorectal and cancer pathways. Our next steps involve exploring microRNAs, TFs, and GO analysis. These findings offer promising leads for potential therapies, uniting CAD and Depression under a common molecular framework, advancing our understanding of these conditions.

关键词： Proteins Drugs Anxiety disorders systems biology Surgery Human factors Schizophrenia Depression Arteries Strain

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Deep Learning Techniques for Advanced Large-Scale Data Processing

Deep Learning Techniques for Advanced Large-Scale Data Proce...

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International Conference on Computing and Networking Technology (ICCNT)

作者： Mp Sunil Jyoti Shekhawat T. Vanaja Vazeer Ali Mohammed Shailesh J. Thaware Vaishali Singh Department of Electronics and Communication Engineering Faculty of Engineering and Technology JAIN (Deemed-to-be University) Bangalore Karnataka India Department of Computer Science & Application Vivekananda Global University Jaipur India Department of Information Technology Prince Shri Venkateshwara Padmavathy Engineering College Chennai Department of Computer & Information System Lewis University Illinois USA Department of Computer Engineering Vishwakarma Institute of Technology Pune INDIA Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

Deep getting to know techniques have become increasingly more popular due to their potential to improve huge-scale records processing performance. Leveraging specialized hardware which includes GPUs, deep getting to know algorithms can attain mind-blowing pace will increase compared to traditional algorithms. further, deep gaining knowledge of fashions can discover complicated non-linear relationships in big datasets, permitting greater accurate overall performance and less fake predictions. Latest advances in deep mastering have enabled it to be implemented to remedy a plethora of information processing duties, from photo recognition to natural language processing. CNNs, RNNs, and GANs are a number of the maximum famous deep gaining knowledge of fashions used in tackling complex data processing obligations. agencies consisting of Google, fb, and Amazon use these sophisticated frameworks to build predictive models that help improve numerous programs. Deep getting to know strategies offer exquisite ability to take massive-scale information processing to the following stage. corporations are increasingly more becoming privy to the emerging opportunities, and actively investing in deep mastering to liberate the untapped strength of their information.

关键词： Deep learning Accuracy Scalability Information processing Predictive models Data processing Prediction algorithms Hardware Natural language processing Optimization

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Enhanced Signal Processing through Frequency Normalization using Fourier Transform Techniques

Enhanced Signal Processing through Frequency Normalization u...

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Intelligent Technologies (ACOIT), Asian Conference on

作者： Neeraj Bhargava Pramod Singh Rathore Ankur Goswami Apoorva Bhowmick Avanindra Vasuki Vyas 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 United Nations Secretariate New Yourk NY USA United Nations Secretariate Baghdad Iraq MDS University Ajmer India

ISBN: (数字)9798350374957

ISBN: (纸本)9798350374964

In the realm of signal processing, achieving accurate frequency normalization is pivotal for the effective analysis and interpretation of signals across various applications. This paper presents a novel approach to frequency normalization utilizing Fourier Transform techniques to enhance signal processing capabilities. By leveraging the mathematical robustness of the Fourier Transform, the proposed method systematically adjusts and normalizes frequency components, thereby improving the clarity and precision of signal analysis. Author addresses common challenges such as signal distortion and noise interference, providing a more reliable framework for applications in communications, biomedical engineering, and audio signal processing. Experimental results demonstrate the efficacy of our method in maintaining signal integrity and enhancing processing performance, particularly in complex and noisy environments. This research offers significant advancements in the field of signal processing, paving the way for more accurate and efficient frequency normalization techniques.

关键词： Fourier transforms Accuracy Noise reduction Noise Reliability engineering Robustness Machine listening Noise measurement Signal analysis Signal integrity

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Quantum Remote State Preparation Based on Quantum Network Coding

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computers, Materials & Continua 2022年第10期73卷 119-132页

作者： Zhen-Zhen Li Zi-Chen Li Yi-Ru Sun Haseeb Ahmad Gang Xu Xiu-Bo Chen School of Information Engineering Beijing Institute of Graphic CommunicationBeijing102600China School of Computer Science and Information Engineering Zhejiang Gongshang UniversityHangzhou310018China Information Security Center State key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing100876China Department of Computer Science National Textile UniversityFaisalabad37610Pakistan School of Information Science and Technology North China University of TechnologyBeijing100144China Advanced Cryptography and System Security Key Laboratory of Sichuan Province China

As an innovative theory and technology,quantum network coding has become the research hotspot in quantum network *** this paper,a quantum remote state preparation scheme based on quantum network coding is *** with the general quantum remote state preparation schemes,our proposed scheme brings an arbitrary unknown quantum state finally prepared remotely through the quantum network,by designing the appropriate encoding and decoding steps for quantum network *** is worth mentioning,from the network model,this scheme is built on the quantum k-pair network which is the expansion of the typical bottleneck network—butterfly ***,it can be treated as an efficient quantum network preparation scheme due to the characteristics of network coding,and it also makes the proposed scheme more applicable to the large-scale quantum *** addition,the fact of an arbitrary unknown quantum state remotely prepared means that the senders do not need to know the desired quantum ***,the security of the proposed scheme is ***,this scheme can always achieve the success probability of 1 and 1-max flow of value ***,the communication efficiency of the proposed scheme is ***,the proposed scheme turns out to be practicable,secure and efficient,which helps to effectively enrich the theory of quantum remote state preparation.

关键词： Quantum remote state preparation quantum network coding quantum k-pair network

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Low Power Consumption of Non-Volatile Memory Device by Tunneling Process engineering

SSRN

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SSRN 2024年

作者： Wang, Fucheng Chu, Mengmeng Chen, Jingwen Pan, Zhong Kim, Yongsang Song, Jang Kun Yi, Junsin Khokhar, Muhammad Quddamah Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of Interdisciplinary Program in Photovoltaic System Engineering Sungkyunkwan University Suwon16419 Korea Republic of College of Information and Communication Engineering Sungkyunkwan University Suwon16419 Korea Republic of

Compared with Si3N4 and Al2O3, SiO2 grown using thermal oxidation process as tunneling layer has the advantages of high bandgap and well interface contact with the surface of silicon wafer, which can be a great solution to the leakage current problem of metal-insulator-semiconductor (MIS) devices. This study investigates the effect of improving the SiO2 tunnel layer on the operating voltage of MIS devices with a SiO2/HfAlOx/Al2O3 structure. The result shows the operating voltage changes as the tunneling layer thickness decreases, with a minimum of only 12 V for a 1.5 nm tunneling layer thickness. In addition, we found that pinholes are generated on the film surface when annealing a 1.5 nm SiO2 tunnel layer at 850 °C N2, in which case the operating voltage of the device is reduced to only 10 V, though it was also accompanied by the deterioration of the retention characteristics. © 2024, The Authors. All rights reserved.

关键词： Silicon wafers

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Size-Dependent Formation of Au-NPs Monolayer Under High Electric Field

Size-Dependent Formation of Au-NPs Monolayer Under High Elec...

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IEEE Conference on Nanotechnology

作者： Firdous Ahmad Deader Yawar Abbas Moh'd Rezeq Ahsanulhaq Qurashi Mahmoud Al-Qutayri Vincent Chan Department of Physics and System on chip lab Khalifa University Abu Dhabi UAE Department of Chemistry Khalifa University Abu Dhabi UAE Department of Computer and Communication Engineering Khalifa University Abu Dhabi UAE Department of Biomedical Engineering and Biotechnology Khalifa University Abu Dhabi UAE

ISBN: (数字)9798350386240

ISBN: (纸本)9798350386257

Nanoparticles (NPs) are considered functional materials due to their fundamental properties of high surface-to-volume ratio, high conductivity, and diversified surface functionalization. We conducted experiments on NPs of different sizes and calculated their UV-Vis absorption and zeta potential when they were suspended as a colloid solution of DI water with some traces of citrate. NPs are stabilized by citrate ions and rendered with a net negative surface potential, which can be confirmed by using a zeta-sizer for zeta potential measurement. Citrate ions acting as ligands form a coating on the surface of NPs and induce electrostatic repulsion due to their overall negative charges, whereas NP's inner cores attract each other due to the van der Waals (vdW) force of attraction. The balance of repulsion and attraction keeps NPs stabilized in the aqueous solution for a prolonged period. Different sizes of NPs were subjected to an electric field to form the monolayer on a silicon substrate. The NPs of smaller sizes form an incomplete monolayer of disintegrated islands, due to their lower core: core attractions, these NPs fail to make a uniform and continuous monolayer. NPs of sizes greater than 40 nm show aggregation when placed in a high electric field environment due to their large core size and hence elevated core: core attraction. These large NPs aggregate irreversibly and form the clumps of NPs called nanoclusters. Interestingly, the optimal size of 20nm NPs leads to the formation of a perfectly hexagonally packed monolayer on the substrate when subjected to an electric field of $\approx 7.2\mathrm{x}10^{4}\mathrm{V}/\mathrm{m}$ ,

关键词： Electric potential Solvents Force Ions Silicon Electric fields Probes

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Lightweight Authentication of Devices in Industrial Control systems

Lightweight Authentication of Devices in Industrial Control ...

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IEEE International Conference on Software engineering and Service Sciences (ICSESS)

作者： Long Wang Siqi Niu Henggao Zhai Jing Fan Lei Wang National Computer System Engineering Research Institute of China Beijing China Department of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Coocaa Network Technology Co. Ltd. Guangdong China

A security authentication protocol based on number theory research unit (NTRU) for industrial control devices is proposed to address the security of data transmission in industrial control systems and the lack of resistance to attacks of security authentication protocols. Most of the original protocols contain complex encryption and decryption operations, which are difficult to run on industrial control devices with simple structures and cannot resist new types of network attacks. In this paper, the protocol takes advantage of the simple operation of NTRU public key encryption system and sets the authorization center to send only the public key of the device in a variant form to achieve the purpose of resisting new attacks such as quantum attacks and internal attacks, and the anti-attack capability is strengthened.

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Analytical Survey on the Security Framework of Cyber-Physical systems for Smart Power system Networks

Analytical Survey on the Security Framework of Cyber-Physica...

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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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