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16th International Conference on Contemporary Computing, IC3 2024

作者： Garg, Kashish Alam, Taj Department of Computer Science & Engineering and Information Technology Jaypee Institute of Information Technology Noida India

ISBN: (纸本)9798400709722

technology has deeply embedded itself in our daily lives, making it easier to carry out tasks. However, the use of technology can be complicated for some like elderly people, cognitively and visually impaired individuals, illiterate, or people with limited education. A proposed desktop voice assistant for elderly people using a feed-forward neural network for intent recognition to simplify complex tasks and make technology more accessible for those who find it difficult. The assistant is a companion to assist, automate, and make it easier for older people to use computers. It aids them in understanding, responding to user needs, and assisting with task management and data retrieval. The Feed-forward Neural Network trains the pre-processed data for voice-to-intent recognition. The proposed and developed desktop assistant does voice recognition with an accuracy of around 78.5 percent, external APIs are used to enhance user experience simplify interactions, and boost productivity. The assistant's configurable personality, which is tailored to the user's preferences, makes it stand out. It provides a high level of interactivity, enabling it to be used quickly and is very flexible regarding individual requirements. © 2024 Copyright held by the owner/author(s).

关键词： Feedforward neural networks

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Enhanced Health Monitoring System for Internet of Medical Things using Machine Learning 15

Enhanced Health Monitoring System for Internet of Medical Th...

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15th International Conference on Computing communication and Networking Technologies, ICCCNT 2024

作者： Swedheetha, C. Manikandan, P. Rajalakshmi, J. Muthuraja, T. Kavin Kumar, K. Chandrasekaran, Gokul Sriram Srivathsan, N. Velammal College of Engineering and Technology Department of Computer Science and Engineering India Kalasalingam Academy of Research and Education Krishnankoil Department of Electronics and Communication Engineering Virudhunagar India Sethu Institute of Technology Department of Electronics and Communication Engineering Virudhnagar India Kongu Engineering College Perundurai Department of Electronics and Communication Engineering Erode638060 India Karpagam Institute of Technology Department of Electronics and Communication Engineering Coimbatore India Velammal College of Engineering and Technology Department of Computer Science and Engineering Madurai India

ISBN: (纸本)9798350370249

This brief looks at mobile operation, speech recognition, and voice robotization. Patients with physical limitations, such as Parkinson's disease and cerebral palsy, as well as those with speech impairments, can express their requirements with this application. The initiative enhances the general well-being and independence of people with impairments. Increasing the automation of current technologies is the main objective of this design. © 2024 IEEE.

关键词： Neurodegenerative diseases

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Dual-Band Polarization Converting Metasurface for Enhanced 5G and wi-fi communication 27

Dual-Band Polarization Converting Metasurface for Enhanced 5...

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27th International Symposium on Wireless Personal Multimedia communications, WPMC 2024

作者： Rathor, Ajeet Kumar Deepak Nair, M.V. The LNM Institute of Information Technology Department of Electronics and Communication Engineering Jaipur India

ISBN: (纸本)9798350392319

This paper presents a dual-band polarization converting metasurface to enhance the signal quality and network efficiency of the n 7 8 band and the 5∼ GHz band of wi-fi. This proposed dual-band polarization converting metasurface (PCM) behaves as a reflective-type linear-to-cross polarization converter with a minimum 80% polarization conversion ratio (PCR) over the frequency bands of (3.37-3.54) ∼ GHz and (4.95-5.07) ∼ GHz. On the other hand, for a linearly polarized incident wave on the PCM, the reflected wave would be circularly polarized for the frequency bands of 3.32-3.34 ∼ GHz, 3.53-3.56 GHz, 4.84-4.92 GHz and 5.10-5.20 ∼ GHz. The PCM unit cell consists of two diagonally placed nonagon-shaped rings joined by a microstrip line on the top of a metal-backed Rogers RT5870 substrate. The unit cell is compact with periodicity 0.17 λ 0× 0.17 λ 0 and low profile with a thickness of 0.018 λ 0. The proposed PCM has remarkable potential and capacity in creating intelligent reflecting surfaces to substantially enhance coverage and elevate the performance of 5G and wi-fi networks. © 2024 IEEE.

关键词： Wireless local area networks (WLAN)

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An Improved LAMP Algorithm for Beam Space Channel Estimation in MIMO-OFDM mmWave Systems 12

An Improved LAMP Algorithm for Beam Space Channel Estimation...

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12th IEEE International Conference on information and communication Networks, ICICN 2024

作者： Han, Xi Li, Peiyang Liu, Yichen Zhang, Jiahao Zhang, Yongmei Ma, Li North China University of Technology Department of Information and Communication Engineering Beijing China

ISBN: (纸本)9798350355802

This paper explores downlink communication in a multiple-input multiple-output Orthogonal Time Frequency Space (MIMO-OTFS) system. By leveraging the prior information of the beam space channel (BC), we derive a novel Laplace shrinkage function. We propose a BC estimation scheme, Laplace Distribution Enhanced LAMP (LDE-LAMP), by integrating the Learned Approximate Message Passing (LAMP) network with this new shrinkage function. Simulation results demonstrate that the proposed LDE-LAMP network algorithm achieves superior channel estimation accuracy compared to traditional LAMP networks. © 2024 IEEE.

关键词： Channel estimation

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One Active Element Based CMOS Compatible Voltage-Mode TOQSO 35

One Active Element Based CMOS Compatible Voltage-Mode TOQSO

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35th Irish Systems and Signals Conference, ISSC 2024

作者： Kumar, Atul Chaturvedi, Bhartendu Jagga, Shafali Jaypee Institute of Information Technology Department of Electronics and Communication Engineering Noida India

ISBN: (纸本)9798350352986

A third-order quadrature sinusoidal oscillator is proposed in this study which produces two voltage output signals. A versatile current-mode active device, namely a current follower differential input transconductance amplifier with two resistors and three grounded capacitors, is used to realize the circuit. The use of single active block makes the circuit compact and simpler. The industry standard tool PSPICE with 0.18 μm technology process parameters is used for validation of the circuit, and the results are obtained in equivalence with the theoretical analysis. © 2024 IEEE.

关键词： Analog circuits

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Salp swarm algorithm using lens opposition-based learning and local search for constrained optimization problems

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Iran Journal of computer Science 2025年第2期8卷 659-686页

作者： Majumdar, Parijata Mitra, Sanjoy Department of Computer Science and Engineering Indian Institute of Information Technology Agartala Jirania 799046 India Department of Computer Science and Engineering Tripura Institute of Technology Agartala Narsingarh 799009 India

The Salp swarm algorithm (SSA) simulates how salps forage and travel in the ocean. SSA suffers from low initial population diversity, improper balancing of exploration and exploitation, and slow convergence speed. Thus, we have proposed a novel variant of SSA (LOLSSA) by integrating lens opposition learning with the fundamental evolutionary techniques of SSA to increase the initial population variety. During exploration, the information about the local best position for each individual is effectively shared with the follower, using the salp position update process to avoid getting stuck at the local optimum. At the end of each iteration, the local search algorithm is utilized to increase exploitation. Additionally, the leader’s salp position incorporates inertia weight to speed up the convergence speed. Swarm intelligence algorithms have proven their efficacy in feature selection, since they search for an optimal set of features in a large search area that will have the best impact on the accuracy of the training system. LOLSSA is thus employed for feature selection to select informative features in 11 high-dimensional datasets, where it outperforms well-known metaheuristics in average fitness, accuracy, and average number of feature reductions. In the software-as-a-service cloud computing model, a task scheduling problem is solved to satisfy the QoS requirement of both the service provider and the user. Experiments show that LOLSSA optimizes this problem in terms of different performance metrics. LOLSSA also outperforms other metaheuristics regarding 23 well-known benchmark functions, IEEE CEC-C06 2019, and CEC-06 2020 benchmark functions, and in solving engineering design problems. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.

关键词： Convergence speed Feature selection Global optimization Lens opposition learning Salp swarm algorithm Task scheduling problem

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FPGA-Optimized Two-Term Karatsuba Multiplications for Large Integer Multiplications 11

FPGA-Optimized Two-Term Karatsuba Multiplications for Large ...

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11th IEEE International Conference on Signal Processing and Integrated Networks, SPIN 2024

作者： Kumar, Sumit Patel, Saubi Singh, Shubham Das, Monalisa Jajodia, Babita Indian Institute of Information Technology Department of Electronics and Communication Engineering Guwahati India

ISBN: (纸本)9798350308433

The demand for efficient large integer polynomial multiplications in present day crypto-systems is the need of the hour. Karatsuba-like multiplication is one of the most efficient multiplication algorithm discussed in this work. However, this algorithm is mostly practically avoided due to the presence of complex sub-multiplications at the intermediate steps of computation. Thus, efforts has been made to implement two-Term Karatsuba Multiplication (Method-I & Method-II), i.e., TTKM-I and TTKM-II in terms of speed and hardware utilization. The overall performance of the proposed design methods are also noted by calculating Area-Time-Product (ATP) and compared with conventional two-Term Karatsuba multiplication (CTTKM) and existing state-of-The-Art. Hardware implementations of both the proposed TTKM multiplication architectures are done using Virtex-7 FPGA device in Xilinx ISE platform. Compared with other state-of-The-Art designs the performance of the proposed two-Term Karatsuba multiplication (Method-I) based on ΔATP1 is 11.108%, 98.686%, 15.561%, 72.012%, 95.122%. 6.009% and 24.601% better than Direct Multiplication (DM), Karat-suba Direct Multiplication (KDM), Karatsuba Comba Multiplication (KCM), Traditional Schoolbook Multiplication (Traditional SBM), SBM-I, SBM-II and CTTKM respectively for 512-bit inputs. Similarly the performance of the proposed two-Term Karatsuba multiplication (Method-II) based on ΔATP2 is 1.790%, 98.544%, 6.407%, 68.978%. 94.593% and 16.427% better than Direct Multiplication (DM), Karatsuba Direct Multiplication (KDM), Karatsuba Comba Multiplication (KCM), Traditional SBM, SBM-I, SBM-II, CTTKM respectively for 512-bit inputs. However comparing both the proposed methods of TTKM (Method-I and Method-II), it can be inferred that TTKM-I is 9.780% better than TTKM-II thus proving its area-Time-product efficiency. © 2024 IEEE.

关键词： Public key cryptography

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RIS-Assisted Integrated Sensing and communication Systems: Joint Reflection and Beamforming Design

IEEE Open Journal of the Communications Society

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IEEE Open Journal of the communications Society 2024年 5卷 908-927页

作者： Ismail, Mohamed I. Shaheen, Abdullah M. Fouda, Mostafa M. Alwakeel, Ahmed S. Modern Academy for Engineering and Technology Department of Electronic Engineering and Communication Technology Cairo4410242 Egypt Suez University Faculty of Engineering Department of Electrical Engineering Suez8151650 Egypt Idaho State University College of Science and Engineering Department of Electrical and Computer Engineering PocatelloID83209 United States

The Integrated Sensing and communication (ISAC) system merged with Reconfigurable Intelligent Surface (RIS) has recently received much attention. This paper proposes an intelligent metaheuristic version of Enhanced Artificial Ecosystem Optimizer (EAEO) for a suggested beamforming optimization framework in ISAC systems with RIS. Two RIS are utilized in the presented model to enhance the received signal-to-noise ratio (SNR) for multiple-input multiple-output (MIMO) communication systems. Also, each element of each RIS scatters the incoming signal with a controllable phase-shift, without increasing its power. The signal is transmitted by a Dual-Function Base Station (DFBS) that is integrated with the RIS, which performs both communication and sensing functions simultaneously. The ISAC system is designed to optimize the signal transmission through the RIS by maximizing the SNR to increase the overall performance. In the proposed EAEO version, a Fitness-Distance-Balance Model (FDBM) is combined with the standard Artificial Ecosystem Optimizer (AEO) to improve the quality of the solutions in multidimensional and nonlinear optimization scenarios. The simulation results show that the proposed EAEO algorithm improves the SNR of different users for different numbers of RIS elements. The SNR reaches 25 dB when using 200 RIS elements. Moreover, the proposed EAEO is tested on the IEEE Congress on Evolutionary Computation 2017 (IEEE CEC'17) test suite. A comparative analysis is conducted compared to the standard AEO and several recent algorithms. The proposed EAEO derives great effectiveness and robustness over the others as it provides a higher rate of success in achieving the global optimum point. © 2020 IEEE.

关键词： Signal to noise ratio

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An Improved Intrusion Detection system for securing academic information on the cloud using a blockchain-based security framework 2

An Improved Intrusion Detection system for securing academic...

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2nd International Conference on Disruptive Technologies, ICDT 2024

作者： Dubey, Krishna Bihari Goyal, Mukta Jaypee Institute of Information Technology Department of Computer Science & Engineering and Information Technology Noida India

ISBN: (纸本)9798350371055

The concept of cloud computing has hastily grown in reputation, allowing businesses to shop and get access to facts from remote servers. Higher educational establishments have additionally adopted cloud services for storing and dealing with academic statistics. But this additionally poses a capability chance to the security and privacy of touchy facts. To deal with those challenges, we advise an advanced intrusion detection system (IDS) to secure the cloud's academic data. This ID uses a blockchain-based total safety framework to ensure the safety and integrity of stored statistics. The proposed IDS utilizes community visitors' monitoring and analysis to stumble upon anomalies and potential protection breaches. It also employs machine-learning techniques like anomaly detection algorithms to identify suspicious activities deviating from everyday behaviour styles. In the event of a detected intrusion, the device triggers an alert to the responsible parties and makes essential movements to mitigate the assault. The combination of blockchain technology offers an additional layer of security by developing an immutable and decentralized ledger to report all data transactions. This guarantees the integrity and authenticity of the academic statistics stored on the cloud. In case of any modifications or changes to the records, the blockchain will record them, creating a transparent audit path for accountability. Furthermore, the proposed IDS also consists of a belief management gadget that evaluates cloud carrier providers' popularity and protection posture. © 2024 IEEE.

关键词： Authenticity Cloud Community Decentralized Detected

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A Comprehensive Analysis of Minutiae Point Extraction in Biometric FingerPrint 13

A Comprehensive Analysis of Minutiae Point Extraction in Bio...

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13th International Conference on System Modeling and Advancement in Research Trends, SMART 2024

作者： Keerthana, N.V. Parimala Devi, M. Velalar College of Engineering and Technology Department of Information Technology Erode India Velalar College of Engineering and Technology Department of Electronics and Communication Engineering Erode India

ISBN: (纸本)9798350380583

In general, Minutiae Point (MP) extraction in the FingerPrint (FP) is a tedious process, as it directly influences the factors such as reliability, accuracy, efficiency, etc., of FP pattern matching algorithms. In this paper, we discussed the inclusive study of MP feature extraction using image processing techniques. The performance evaluation across various dimensions including noise robustness, speed in processing, accuracy, computational complexity, etc. Various methods of MP extraction are addressed and scrutinized in a detailed way with a clear-cut of how it constructively handles the consequences in the quality of images, noise, and computational overhead. The traditional algorithms we considered are Binarization, Gradient, Wavelet, Gabor-Filter Method, and direct grayscale. Also, we considered contemporary methods such as Neural-Networks, and Hough-transform, which show high performance that are represented. Additionally, we discussed the SWOT analysis of MP extraction algorithms. © 2024 IEEE.

关键词： Gabor filters

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