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4×4 Array Multiplier Using Transmission Gate Full Adder

4×4 Array Multiplier Using Transmission Gate Full Adder

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International Conference for Convergence of Technology (I2CT)

作者： Nitesh Kumar Rathore Ankur Beohar Pallabi Sarkar Kavita Khare Pooran Singh Dept. of Electrical and Computer Engineering Mahindra University Hyderabad India School of Electrical and Electronics Engineering (SEEE) VIT Bhopal University Madhya Pradesh India Dept. of Electronic and Communication Engineering MANIT Bhopal Madhya Pradesh India

ISBN: (数字)9798350394474

ISBN: (纸本)9798350394481

Multiplication is the most essential function carried out by the arithmetic and logic unit. The multiplier specifically has important applications in signal processing analysis, image processing analysis, and so on. The design of multipliers with high-performance properties such as fast speed, low power, small size, and minimal latency is of great interest in the research field. In this research, a 4×4 array multiplier using a transmission gate full adder has been designed. The full adder used in the design is a conventional CMOS full adder implemented using XOR, AND, OR gates with a load capacitance of 32F. In the architecture, the same 4×4 multiplier has been designed using semi-dynamic logic and has carried out different design parameters calculations and observations respectively along with process, voltage, and temperature variation (PVT) of 10%. When compared to Full Adder implementation using a semi-dynamic logic gate, Full Adder implementation utilizing a transmission gate imparts less latency. Each of the mentioned logic blocks is designed using LT-Spice software for 180nm technology.

关键词： Image processing Voltage Logic gates Software Power dissipation Delays Adders

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Composition of Motion from Video Animation Through Learning Local Transformations

Composition of Motion from Video Animation Through Learning ...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Michalis Vrigkas Virginia Tagka Marina E. Plissiti Christophoros Nikou Dept. Communication and Digital Media University of Western Macedonia Kastoria Greece Dept. Computer Science and Engineering University of Ioannina Ioannina Greece

In this work, we solve the problem of motion representation in videos, according to local transformations applied to specific keypoints extracted from static the images. First, we compute the co-ordinates of the keypoints of the body or face through a pre-trained model, and then we introduce a convolutional neural network to estimate a dense motion field through optical flow. Next, we train a generative adversarial network that exploits the previous information to generate new images that resemble as much as possible the target frames. To reduce trembling and extract smooth movements, our model incorporates a low-pass spatio-temporal Gaussian filter. Results indicate that our method provides high performance and the movement of objects is accurate and robust.

关键词： Optical filters Jacobian matrices Computational modeling Low-pass filters Signal processing Information filters Generative adversarial networks

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A Comparative Study on the Effectiveness of Various Machine Learning Paradigms in Image Recognition and Predictive Modelling

A Comparative Study on the Effectiveness of Various Machine ...

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Device Intelligence, Computing and communication Technologies, (DICCT), International Conference on

作者： Deepak Upadhyay Mridul Gupta Aditya Verma Saksham Mittal Dept. of Computer Science and Engineering Graphic Era Hill University Dehradun India Dept. of Electronics and Communication Engineering Graphic Era Deemed to be University Dehradun India

The efficiency of several machine learning algorithms in picture identification and predictive modelling is thoroughly compared in this research article. The necessity to find the best algorithms for certain use cases and the rising need for reliable and effective image recognition systems across a variety of areas are the driving forces behind the study. In order to assess how well these algorithms, perform in terms of accuracy, precision, and recall, the study uses a wide range of machine learning techniques, including classical and deep learning approaches. The study's findings show that convolutional neural networks, in particular, outperform conventional algorithms in image identification tests while standard and deep learning techniques perform similarly in tasks requiring predictive modelling. The study also emphasises the value of transfer learning and fine-tuning strategies in obtaining cutting-edge performance on picture datasets, and finally we will see results at the end.

关键词： Deep learning Machine learning algorithms Image recognition Transfer learning Predictive models Prediction algorithms Data models

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Tailored Output Layers of Neural Networks for Satisfaction of State Constraints in Nonlinear Control systems

Tailored Output Layers of Neural Networks for Satisfaction o...

引用

American Control Conference (ACC)

作者： Lukas Markolf Olaf Stursberg Dept. of Electrical Engineering and Computer Science Inst. of Control and System Theory University of Kassel Germany

This work considers the synthesis of state feedback controllers established as deep artificial feed-forward neural networks for the control of discrete-time nonlinear but input-affine systems. The idea is to design output layers of particular structure to guarantee the satisfaction of state constraints in form of control-invariant ellipsoids. Since an analytical expression can be derived for the resulting neural network controller, the latter can be stored and evaluated efficiently. Moreover, the proposed output layer guarantees the satisfaction of the considered state constraints for each specification of the parameter vector. Numerical examples are provided for illustration and evaluation of the approach, in which the approximation of a nonlinear model predictive control law is considered as application.

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A Novel Cyber Threat Intelligence (CTI) Framework for Detecting Android Malware: Work on Progress

A Novel Cyber Threat Intelligence (CTI) Framework for Detect...

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2024 International Conference on Information Technology systems and Innovation, ICITSI 2024

作者： Wijaya, Andri Stiawan, Deris Abdiansah Suprapto, Bhakti Yudho Saputra, Iwan Pahendra Anto Rini, Dian Palupi Sayfudin Idris, Mohd.Yazid Budiarto, Rahmat Universitas Katolik Musi Charitas Faculty of Engineering Universitas Sriwijaya Department of Information System Indonesia Universitas Sriwijaya Faculty of Computer Science Indonesia Sriwijaya University Faculty of Engineering Electrical Engineering Dept. Palembang Indonesia Sriwijaya University Faculty of Comp.Science Informatic Engineering Dept. Palembang Indonesia Universitas Muhammadiyah Palembang Indonesia Universiti Teknologi Malaysia School of Computing Faculty of Computing Johor81310 Malaysia Al-Baha University College of Computing and Information Al Aqiq Saudi Arabia

ISBN: (纸本)9798331511470

The latest approach in cyber threat intelligence (CTI) is becoming increasingly crucial in detecting evolving cyber threats, including malware on Android devices. This problem is getting deeper when the number of Android users in Indonesia is increasing compared to other platforms. Therefore, it is necessary to develop a new method that integrates the CTI framework with the use of machine learning to improve the accuracy and speed in detecting Android malware. By utilizing intelligence data from structured threat reports, this method aims to identify suspicious patterns and abnormal behavior that may not be detected by conventional security systems so that with this updated security system it is proactive towards the development of new types of malware threats, with the hope of being able to make a significant contribution to strengthening especially mobile devices with the Android platform and being able to provide more effective solutions in reducing the risk of malware attacks on Android. © 2024 IEEE.

关键词： Cyber attacks

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Quantum Wrapper Networking: Investigating the Noise Impact of Classical Headers on the Quantum Payload

Quantum Wrapper Networking: Investigating the Noise Impact o...

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2024 Frontiers in Optics, FiO 2024

作者： Gül, Gamze On, Mehmet Berkay Tan, Shannon G. Proietti, Roberto Kanter, Gregory S. Yoo, S.J. Ben Kumar, Prem Graduate Program in Applied Physics Northwestern University 2145 Sheridan Road EvanstonIL60208 United States Department of Electrical and Computer Engineering University of California Davis DavisCA95616 United States Center for Photonic Communication and Computing Dept. of Electrical and Computer Eng. Northwestern University EvanstonIL60208 United States Department of Electronics and Telecommunications Engineering Politecnico di Torino Italy

We study the impact in time and frequency domains of classical headers on quantum payloads in quantum wrapper networking. We identify and characterize in-fiber scattering processes that produce noise photons degrading...

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Innovative Method for Enhancing E-Bikes Performance through riding mechanical force

Innovative Method for Enhancing E-Bikes Performance through ...

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Renewable Energy and Sustainable E-Mobility Conference (RESEM), IEEE

作者： Hritik Yadav Neha Shrivastava Devendra Singh Rathod Tanisha Gupta Dept. of Electronics and Communication Engineering IES College of Technology Bhopal Bhopal India Dept. of Computer Science and Engineering IES College of Technology Bhopal Bhopal India

This paper presents a novel approach to charging E-bikes using their own mechanical energy generated during riding. Inspired by the method used in petrol vehicles where the battery charges itself while in use, we propose a similar system for E-vehicles, specifically E-bikes. Our method involves the addition of a secondary battery to the bike, which will charge itself while the vehicle is in motion, and when parked, it will charge the main battery. This innovative solution aims to improve the mileage of E-bikes, which is a significant drawback compared to petrol vehicles.

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Design and Characterization of a Ka-Band Parasitic Patch Antenna for 5G Applications

Design and Characterization of a Ka-Band Parasitic Patch Ant...

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International Conference on communication and Electronics systems (ICCES)

作者： Kahkashan Kouser Mohammad Hannan Faizan Shafi Mohammad Aknan Dept. of Computer Science & Engineering Motihari College of Engineering (MCE) Motihari Motihari Bihar India Dept. of Electrical and Electronics Engineering Rajiv Gandhi Institute of Petroleum Technology Amethi Uttar Pradesh India Dept. of Electrical Electronics and Communication Engineering Indian Institute of Technology Dharwad India

ISBN: (数字)9798350377972

ISBN: (纸本)9798350377989

He design of parasitic patch antennas for high-frequency applications, such as 5G millimeter-wave (mm-wave) communication, presents several challenges, including achieving high gain, wide bandwidth, and efficient impedance matching within a compact structure. Recent techniques, such as the use of parasitic elements and stepped impedance feedlines, have shown promise in enhancing antenna performance. However, these methods still face limitations related to fabrication complexity, signal degradation, and reliability under varying conditions. This work introduces a circular patch antenna with a parasitic reflector element specifically designed for Ka-band applications at 28 GHz. The proposed design addresses these challenges by optimizing the placement of parasitic elements to achieve high gain, a wide bandwidth of 2 GHz, and stable VSWR performance across the operating range. The single-layer, single-side etching structure further simplifies fabrication, making it suitable for compact wireless *** design of parasitic patch antennas for high-frequency applications, such as 5G millimeter-wave (mm-wave) communication, presents several challenges, including achieving high gain, wide bandwidth, and efficient impedance matching within a compact structure. Recent techniques, such as the use of parasitic elements and stepped impedance feedlines, have shown promise in enhancing antenna performance. However, these methods still face limitations related to fabrication complexity, signal degradation, and reliability under varying conditions. This work introduces a circular patch antenna with a parasitic reflector element specifically designed for Ka-band applications at 28 GHz. The proposed design addresses these challenges by optimizing the placement of parasitic elements to achieve high gain, a wide bandwidth of 2 GHz, and stable VSWR performance across the operating range. The single-layer, single-side etching structure further simplifies fabrication, making it suitable

关键词： Wireless communication Fabrication Performance evaluation 5G mobile communication Patch antennas Bandwidth Impedance Ka-band Gain Periodic structures

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Multi-cluster Dynamic Load Balancing in vSDN-enabled 5G Heterogeneous Network for Smart Cyber-Physical systems 14

Multi-cluster Dynamic Load Balancing in vSDN-enabled 5G Hete...

引用

14th International Conference on communication systems and NETworkS, COMSNETS 2022

作者： Basu, Deborsi Jain, Abhishek Rao, Addanki Sankara Ghosh, Uttam Datta, Raja Indian Institute of Technology G.S. Sanyal School of Telecommunications Kharagpur India Indian Institute of Technology Dept. of Electronics and Electrical Communication Engineering Kharagpur India Vanderbilt University Dept. of Electrical Engineering and Computer Science NashvilleTN United States

ISBN: (纸本)9781665421041

In recent years, communication networks have witnessed a massive surge in network traffic due to the impact of the new normal situation in which a systematic paradigm shift has occurred from offline media to online platforms. The 5G and beyond 5G networks will encounter even more service load demands in the near future. These events trigger the chances of Load-Changing attacks (GridLock attacks or BlackIoT attacks, other Cyber-Physical attacks, etc.) inside the modern Cyber-Physical systems (CPS). Those fuel system-wide disruptions are extensively prone to critical network issues like service availability, integrity, confidentiality or maybe a combination of these factors. vSDN (virtualized Software Defined Networking) will play a key role in managing those load turbulence and provide a sustainable communication network for smart CPSs. Considering these key facts in this work, we have developed a dynamic Control plane load balancing architecture in a vSDN-enabled dense heterogeneous network. SDN and NFV (Software Defined Network and Network Function Virtualization) support the C/U (Control/User) plane split that opens the scope of small scale highly dense base station deployments under macro base stations. Our integer linear optimization (ILP - Integer Linear Programming) model dynamically allocates the small base stations to the respective macro cell to reduce the service load on the respective macro controller. From our proposed approach and results, it can be strongly concluded that our model provides significant load reduction to provide a stable networking environment for smart CPS. © 2022 IEEE.

关键词： Controllers

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Dynamic Scheduling Algorithms for Serverless Computing Solutions in the Cloud

Dynamic Scheduling Algorithms for Serverless Computing Solut...

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2024 International Conference on E-Mobility, Power Control and Smart systems, ICEMPS 2024

作者： Mohammed, Abdul Sajid Saddi, Venkata Ramana Gopal, Santhosh Kumar Jiwani, Nasmin Logeshwaran, J. School of Computer and Information Sciences University of The Cumberlands KY United States Ace American Insurance Chubb Group RaleighNC United States Sciences CharlotteNC United States University of The Cumberlands Dept. of Information Technology WilliamsburgKY United States Sri Eshwar College of Engineering Department of Electronics and Communication Engineering Coimbatore India

ISBN: (纸本)9798350394399

Server less computing solutions within the cloud presentsan exceptional opportunity for corporations to gain progressed scalability, availability, and fee efficiency. To reap such blessings, establishments need to utilize the handiest dynamic scheduling algorithms that are tailor-made to their unique needs. These algorithms can include predictive scheduling, call for-driven scheduling, and application-conscious scheduling, among others. Predictive scheduling algorithms are looking for to expect capacity call for to prevent erratic performance. This study focuses on dynamic scheduling algorithms for serverless computing solutions in the cloud. The researchers explore the characteristics of serverless computing models and the challenges of dynamic scheduling. A comprehensive evaluation is conducted on various scheduling algorithms, taking into consideration performance metrics such as throughput, response time, and resource utilization. The results show that dynamic scheduling algorithms are effective in optimizing resource allocation and improving overall system performance. Specific values derived from the results include a significant reduction in resource wastage, improved scalability, and increased cost-effectiveness. These findings suggest that dynamic scheduling algorithms are crucial for efficient and scalable serverless computing solutions in the cloud. With the aid of applying the maximum suitable dynamic scheduling algorithms tailor-made to precise desires, corporations could be higher prepared to fulfill their formidable cloud-computing dreams. © 2024 IEEE.

关键词： Scheduling algorithms

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