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123rd ASEE Annual Conference and Exposition

作者： Kolla, Sri R. Border, David Bowling Green State University Electronics and Computer Engineering Technology Program OH United States Bowling Green State University United States

Bowling Green State University currently offers an ETAC-ABET accredited undergraduate Bachelor of Science degree in electronics and computer Engineering technology. The program was previously accredited by ATMAE with the name electronics and computer technology in the Bachelor of Science in technology degree. The program faculty has decided to seek ABET accreditation due to the professional engineer registration our students can seek and other reasons. This paper presents the process adopted by the ECET program faculty to use the past ATMAE accreditation practices to present ABET accreditation. A hallmark of our program has been the mandatory two-semester long co-op experiences and an optional third-semester co-op experience, which has served as an important tool along with our in-class course instruction and laboratory experience for the success of our students. Our program educational objectives review and student outcomes assessment of ABET's Engineering technology Accreditation Commission general 'a to k' criteria and Electrical/Electronic(s) Engineering technology, and computer Engineering technology program specific criteria use four direct and indirect quantitative methods and additional qualitative methods. The direct quantitative methods include: course-embedded assessment, course final grades, co-op employer student performance appraisal;and the indirect quantitative method is an end of semester student course evaluation. The qualitative methods include student co-op report feedback, industrial advisory board input, and alumni input in addition to regular input from faculty. This paper describes how the data from these methods are used for assessment and continuous improvement that resulted in a successful maximum ABET accreditation period for our ECET program. © American Society for Engineering Education, 2016.

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Smart Blind Assistant Stick

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Journal of Engineering Science and technology Review 2025年第1期18卷 110-119页

作者： Mali, Amey Kharche, Shubhangi Nevase, Anamika Nair, Parvathy Vaity, Chinmay Department of Electronics & Computer Science SIES Graduate School of Technology Nerul India

Globally, vision impairment poses significant challenges, especially for those who are blind, leading to their daily struggles. Our proposed system proposes an innovative system that combines computer vision and Internet of Things technologies to empower visually impaired people during navigation, with the goal of increasing their mobility and independence. Conventional camera-based solutions frequently fail to accurately recognize objects and obstacles, as well as achieve precise distance measurements. In response, our proposed work introduces a smart blind stick assistance system that aims to address these limitations. Using the COCO dataset supplemented with 80 standard objects and an additional 15, our system employs YOLOv5 for real-time object detection, allowing accurate identification of obstacles in the environment. Most importantly, real-time scene descriptions are delivered audibly with multilingual support, allowing users to understand spatial concepts more effectively. The implementation includes a seamless integration of the Raspberry Pi and Chainer library for efficient neural network inference, as well as text-to-speech synthesis to provide spoken feedback. Additionally, we have integrated an ultrasonic sensor for precise distance measurement, enhancing the system's ability to detect obstacles and provide accurate navigation assistance. During our tests, the system achieved 95% object detection accuracy (92-98% confidence interval, n=10) using an augmented COCO dataset and provides real-time, multilingual scene descriptions (average processing time 50ms ± 10ms;ultrasonic sensor latency 2ms ± 0.5ms). This novel approach represents a significant advancement in object recognition and accessibility for visually impaired people, promising to improve their quality of life and promote greater independence. © (2025), (International Hellenic University School of Science and technology). All rights reserved.

关键词： Ultrasonic sensors

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Intelligent integrated sensing and communication:a survey

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Science China(Information Sciences) 2025年第3期68卷 5-46页

作者： Jifa ZHANG Weidang LU Chengwen XING Nan ZHAO Naofal AL-DHAHIR George K.KARAGIANNIDIS Xiaoniu YANG School of Information and Communication Engineering Dalian University of Technology College of Information Engineering Zhejiang University of Technology School of Information and Electronics Beijing Institute of Technology Department of Electrical and Computer Engineering The University of Texas at Dallas Department of Electrical and Computer Engineering Aristotle University of Thessaloniki

Integrated sensing and communication (ISAC) is a promising technique to increase spectral efficiency and support various emerging applications by sharing the spectrum and hardware between these functionalities. However, the traditional ISAC schemes are highly dependent on the accurate mathematical model and suffer from the challenges of high complexity and poor performance in practical scenarios. Recently, artificial intelligence (AI) has emerged as a viable technique to address these issues due to its powerful learning capabilities, satisfactory generalization capability, fast inference speed, and high adaptability for dynamic environments, facilitating a system design shift from model-driven to data-driven. Intelligent ISAC, which integrates AI into ISAC, has been a hot topic that has attracted many researchers to investigate. In this paper, we provide a comprehensive overview of intelligent ISAC, including its motivation, typical applications, recent trends, and challenges. In particular, we first introduce the basic principle of ISAC, followed by its key techniques. Then, an overview of AI and a comparison between model-based and AI-based methods for ISAC are provided. Furthermore, the typical applications of AI in ISAC and the recent trends for AI-enabled ISAC are reviewed. Finally, the future research issues and challenges of intelligent ISAC are discussed.

关键词： artificial intelligence deep learning deep reinforcement learning federated learning generative artificial intelligence integrated sensing and communication machine learning transfer learning

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Multi-agent based Arabic speech synthesis

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International Journal of Speech technology 2024年第1期27卷 1-17页

作者： Tebbi, Hanane Hamadouche, Maamar Faculty of Electronics and Computer Science University of Science and Technology Houari-Boumediene Bab Ezzouar Algeria

Natural Language Processing (NLP) has many applications such as Speech recognition, Speech understanding, and Speech synthesis. Several approaches have been proposed in the literature in dealing with NLP. This paper describes an ongoing research project that tackles Speech Arabic Synthesis using multi-agent system techniques. The system consists of five modules (agents): the User Interface Agent (UIA), the Facilitator Agent (FA), the Preprocessing Agent (PPA), the Orthographic and Phonetic Transcription Agent, and the Speech Generation Agent. These agents are communicating with each other to construct agent sub societies representing the user input. All the agents are cognitive, work together, and communicate with the Knowledge-Base and the Sound Segments Database to generate Arabic speech signals. We used 800 Arabic sentences and asked 10 listeners with different levels of knowledge of the Arab language to accomplish the evaluation perception process. The system presents in general a Success Rate of 86% for the set of 800 tested sentences. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022.

关键词： Knowledge based systems

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Prediction of Bandwidth of Metamaterial Antenna Using Pearson Kernel-Based Techniques

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computers, Materials & Continua 2024年第3期78卷 3449-3467页

作者： Sherly Alphonse S.Abinaya Sourabh Paul School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India School of Electronics Engineering Vellore Institute of TechnologyChennai600127India

The use of metamaterial enhances the performance of a specific class of antennas known as metamaterial *** radiation cost and quality factor of the antenna are influenced by the size of the *** antennas allow for the circumvention of the bandwidth restriction for small *** parameters have recently been predicted using machine learning algorithms in existing *** learning can take the place of the manual process of experimenting to find the ideal simulated antenna *** accuracy of the prediction will be primarily dependent on the model that is *** this paper,a novel method for forecasting the bandwidth of the metamaterial antenna is proposed,based on using the Pearson Kernel as a standard *** with these new approaches,this paper suggests a unique hypersphere-based normalization to normalize the values of the dataset attributes and a dimensionality reduction method based on the Pearson kernel to reduce the dimension.A novel algorithm for optimizing the parameters of Convolutional Neural Network(CNN)based on improved Bat Algorithm-based Optimization with Pearson Mutation(BAO-PM)is also presented in this *** prediction results of the proposed work are better when compared to the existing models in the literature.

关键词： Antenna pearson optimization bandwidth metamaterial

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A novel Cosine-Cosine chaotic map-based video encryption scheme

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Journal of Engineering and Applied Science 2024年第1期71卷 36页

作者： Kumari, Sweta Dua, Mohit Dua, Shelza Dhingra, Deepti Department of Computer Engineering National Institute of Technology Kurukshetra India Department of Electronics and Communication Engineering National Institute of Technology Kurukshetra India

The surge in online activities has led to the increasing popularity of sharing video data across diverse applications, including online education tutorials, social networking, video calling, and OTT platforms. Encryption prevents unauthorized access to the transmitted data over unreliable channels. The well-known features of chaos theory such as random behaviour, unpredictability, and initial parameters dependency facilitate its use in cryptography. Many security issues are faced by chaos-based cryptosystems because of their less complexity. Hence, a new Cosine-Cosine chaotic map characterized by intricate chaotic behaviour is designed in the current study. Additionally, we formulate an original video encryption scheme employing this Cosine-Cosine chaotic map. The encryption process involves five steps, beginning with the segmentation of the original video into frames based on its frame rate. In the second phase, a 384 bits pseudorandom key is generated that is further divided into three subkeys of 128 bits each. The novel Cosine-Cosine chaotic map-based sequence is generated. In the fourth step, red, green, and blue components are encrypted using the pseudorandom key and the chaotic sequence. In the last step, we combine encrypted frames to get cipher video. The security analysis validates that the proposed encryption protects against eavesdropping. © The Author(s) 2024.

关键词： Cryptography

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Continuous word level sign language recognition using an expert system based on machine learning

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International Journal of Cognitive Computing in Engineering 2023年第1期4卷 170-178页

作者： Sreemathy, R. Turuk, M.P. Chaudhary, S. Lavate, K. Ushire, A. Khurana, S. Department of Electronics and Telecommunication Engineering Pune Institute of Computer Technology Pune India

The study of sign language recognition systems has been extensively explored using many image processing and artificial intelligence techniques for many years, but the main challenge is to bridge the communication gap between specially-abled people and the general public. This paper proposes a python-based system that classifies 80 words from sign language. Two different models have been proposed in this work: You Only Look Once version 4 (YOLOv4) and Support Vector Machine (SVM) with media-pipe. SVM utilizes the linear, polynomial and Radial Basis Function (RBF) kernels. The system does not need any additional pre-processing and image enhancement operations. The image dataset used in this work is self-created and consists of 80 static signs with a total of 676 images. The accuracy of SVM with media-pipe is 98.62% and the accuracy of YOLOv4 obtained is 98.8% which is higher than the existing state-of-the-art methods. An expert system is also proposed which utilizes both the above models to predict the hand gesture more accurately in real-time. © 2023

关键词： Support vector machines

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Analysis of channel capacity for UWB antenna for improvements in the data rates and low Power transmission over wireless application

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International Journal of Information technology (Singapore) 2024年第7期16卷 4343-4349页

作者： Bhopale, Nitin I. Pawar, Sunil N. Department of Electronics and Computer Engineering Sanjivani College of Engineering National Institute of Electronics and Information Technology (NIELIT) Chhattrapati Sambhaji Nagar Department of Electronics and Computer Engineering JNEC

Multiple input- Multiple output- Ultra-wideband (MIMO-UWB) is a wireless communication approach that combines multiple antennas at the transmitter and receiver with ultra-wideband frequency spectra to increase data speeds, dependability and spatial diversity in communication systems. The purpose of this research is to study the hybridization of MIMO-UWB over the Rayleigh fading channel using various antenna designs. Convolution encoders are used to encode binary data. The bit interleaver records the encrypted data that is sent to the mapper. The Inverse Fast Fourier Transform is used to handle information from Parallel subcarriers two,four, and eight. To prevent Inter symbol interference, a cyclic prefix is subsequently added. A Fast Fourier transform is used to synchronize signals after they are distorted and two, four, and eight antennas. The cyclic prefix is then deleted. Once the interleaving is done, the data received through various antennas are transformed into serial, demodulated, and decoded. Bit Error Rate (BER) and data rates are used to assess the hybridization system for MIMO-UWB sectorial antenna designs of 2x2,4x4, and *** results obtained indicate that both traditional MIMO and combined MIMO-UWB have higher data rates as SNR increases, with hybridized MIMO-UWB having higher data rates than conventional MIMO and achieving low transmission power. In the same way, hybridized MIMO-UWB yields lower BER values than standard MIMO. This suggests that hybrid MIMO-UWB outperforms traditional MIMO in terms of Rayleigh fading. © Bharati Vidyapeeth's Institute of computer Applications and Management 2024.

关键词： Bit error rate (BER) Multiple input- multiple output (MIMO) Quadrature amplitude modulation (QAM) Rayleigh fading Ultra-wideband antenna (UWB)

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Analytical Formulation and Numerical Investigation of Electro-Mechanical Dynamics in Circular Biconvex Diaphragm Capacitive Pressure Sensor

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IEEE Sensors Journal 2025年第11期25卷 18867-18875页

作者： Bi, Gajula Rukshana Motwani, Mayank Jindal, Sumit Kumar Vellore Institute of Technology School of Electronics Engineering Vellore632014 India Vellore Institute of Technology School of Computer Science and Engineering Vellore632014 India

Capacitive pressure sensors have attracted considerable interest due to their high sensitivity, low energy consumption, and potential for miniaturization, making them suitable for applications in automotive systems, consumer electronics, and industrial automation. The conventional designs of capacitive pressure sensors often face challenges such as limited sensitivity, mechanical instability, and difficulties in achieving increased sensitivity. This study presents a biconvex diaphragm using Silicon, featuring a gradual thickness variation, with a maximum thickness at the center. The paper offers mathematical analysis of the sensor, featuring step-by-step derivations for parameters such as maximum thickness of the diaphragm, working range, capacitance and capacitive sensitivity. Finally, curves of capacitance and capacitive sensitivity with pressure are obtained in MATLAB, and the results are compared with those of prior works. The proposed sensor shows a more than threefold increase in capacitance and a nearly double improvement in capacitive sensitivity compared to the highest previously reported DTMCPS. The deflection of the diaphragm is obtained using COMSOL. © 2001-2012 IEEE.

关键词： MATLAB

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Realizing the potential of Internet of Things (IoT) in Industrial applications

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Discover Internet of Things 2025年第1期5卷 1-16页

作者： Rathi, Bharat Thapaswi, S. Kambhampati, Meghana Jain, Vineet Akshay, P. Pandey, Trilok Nath Pradhan, Sunil Kumar School of Electronics Engineering Vellore Institute of Technology Chennai600127 India School of Computer Science and Engineering Vellore Institute of Technology Chennai600127 India

The Internet of Things (IoT), which enables seamless connectivity and effective data exchange between physical items and digital systems, has completely changed the way we interact with our surroundings. This study evaluates IoT applications in healthcare, transportation, agriculture, and smart cities, highlighting advancements, opportunities, and challenges. Using a systematic literature review and case study analysis, it identifies essential IoT components, including sensors, communication protocols, data analytics, and security methods. Key findings demonstrate IoT's potential to enhance healthcare through real-time monitoring and cost reduction, optimize transportation systems for resource efficiency, improve agricultural productivity via precision farming, and enable sustainable urban development in smart cities. However, challenges like data privacy, interoperability, and scalability remain critical barriers to widespread adoption. This study underscores the need for interdisciplinary collaboration among researchers, policymakers, and industry stakeholders to address these challenges and unlock IoT's full potential. It provides actionable insights and future directions for realizing a connected, efficient, and sustainable IoT-driven future. © The Author(s) 2025.

关键词： Precision agriculture

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