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3rd IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Vinaya Kumar, S.R. Venkatesh, T. Tharehalli Rajanna, Puneeth Kumar Ghousia College of Engineering Dept. of Electrical and Electronics Engineering Karnataka Ramanagara India Ghousia College of Engineering Dept. of Computer Science Engineering Karnataka Ramanagara India Siddaganga Institute of Technology Dept. of Electronics and Telecommunication Engineering Karnataka Tumkur India

ISBN: (纸本)9798350317022

This paper presents the characteristic mode based polarization reconfigurable compact metasurface(MTS) antenna for sub 6GHz 5G applications. The MTS consists 2x2 array of rectangular unit cells arranged on the circular substrate. By rotating the antenna, three states of polarization can be achieved such as linear polarization(LP), left hand circular polarization(LHCP) and right hand circular polarization(RHCP). The MTS is excited by the slot aperture with the help of electromagnetic coupling scheme. The designed and fabricated antenna is compact (0.29λ02), which provides an impedance band-width of 19.23%(3.45GHz-4.19GHz) and axial ratio bandwidth of 5.05%(3.55GHz-3.72GHz). The peak gain of 5.2dBiC at 3.72GHz is obtained within CP bandwidth with 75% of radiation efficiency. The radiation pattern has better cross polarization values of more than -30dB with respect to co-polarization value in all the three states of polarization. This compact antenna is better suitable in sub-6GHz 5G application where switching of polarization is required without any hardware circuitry is essential. © 2023 IEEE.

关键词： Axial ratio Characteristic Mode Analysis(CMA) Circular Polarization Metasurface(MTS) Polarization reconfigurability

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Experimental Demonstration of Hybrid LED-LD Based UOWC Link 2

Experimental Demonstration of Hybrid LED-LD Based UOWC Link

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2nd International Conference on Microwave, Optical and Communication engineering, ICMOCE 2023

作者： Krishna, Gopal Mathew, Jimson Santhanakrishnan, T. Gupta, Sumanta Indian Institute of Technology Patna Dept. of Electrical Engineering India Indian Institute of Technology Patna Dept. of Computer Science and Engineering India DRDO Naval Physical and Oceanographic Laboratory India

ISBN: (纸本)9798350321609

In this paper, we have designed and experimentally characterized a hybrid light emitting diode (LED) and laser diode (LD) based underwater optical wireless communication (UOWC) link, which can be suitable for providing high-speed optical connectivity between onshore and submerged systems. An LED-based system is efficient for short-range communication whereas an LD-based system is for long distances. In this paper, we have experimentally demonstrated the establishment of a hybrid LED-LD UOWC link at a data rate of 10 Mbps over a 2.5 m water channel using a return to zero on-off keying (RZ-OOK) modulation scheme using an FPGA-based transmitter and receiver. We have also used offline data processing to quantify the bit error rate (BER) performance as a function of received optical power for tap water and turbid water channels. For the tap water channel, we have achieved a BER as low as 3.5 ×10-6 at - 35.1 dBm received optical power, whereas for turbid water the achieved BER is 1.8 × 10-5 at -31. 6 dBm of received optical power in absence of air bubble. In turbid water (and tap water) channel in presence of air bubbles the minimum achievable BER is around 3 × 10-4 (3 × 10-4) for -31.5 dBm (-35.5 dBm) of received power. © 2023 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Streamlining Phantom Tomogram Generation Through Situs and TomoSim Integration

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Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada 2023年第1期29卷 683-684页

作者： Scheible, Peter Sazzed, Salim He, Jing Wriggers, Willy Dept. of Computer Science Old Dominion University Norfolk VA United States Dept. of Mechanical & Aerospace Engineering Old Dominion University Norfolk VA United States

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Multilingual Approaches to Named Entity Recognition

Multilingual Approaches to Named Entity Recognition

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Delhi Section Conference (DELCON), IEEE

作者： Padmaja Savaram Suhana Tabassum Sasidhar Bandu Lakshitha B Dept. of Computer Science College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz University Al-kharj KSA Dept. of Computer Science and Engineering University College of Engineering Osmania University Hyderabad India Dept. of English Prince Sattam Bin Abdulaziz University Al-kharj KSA Dept. of Computer Science and Engineering VNRVJIET JNTU Hyderabad India

ISBN: (数字)9798331518592

ISBN: (纸本)9798331518608

Named Entity Recognition (NER) represents a fundamental operation within Natural Language Processing (NLP), focused on the extraction and classification of specific entities embedded in textual data. Given the rising linguistic diversity present in digital communications, there is an escalating need for NER systems to be proficient in identifying and categorizing entities across a spectrum of languages. However, developing NER models for resource-poor languages presents significant challenges due to limited labeled data and linguistic resources. This paper examines methodologies for enhancing the ability of NLP models to perform NER across diverse languages by transferring knowledge from high-resource languages to low-resource languages. We delve into advanced approaches such as cross-lingual transfer learning, multilingual embeddings, and cross-lingual model adaptation. Cross-lingual transfer learning utilizes pre-trained models from high-resource languages to initialize NER systems for low-resource languages, thereby facilitating the effective transfer of linguistic knowledge across language boundaries. Multilingual embeddings provide a shared representation space for words across languages, facilitating the transfer of linguistic knowledge. Additionally, cross-lingual model adaptation techniques aim to adapt existing NER models to new languages through fine-tuning or domain adaptation. By enhancing the generalizability of NER models through cross-lingual knowledge transfer, we enable these models to perform effectively across diverse linguistic contexts, including both resource-rich and resource-poor languages. These advancements contribute to broader accessibility and applicability of NER technology across languages and cultures, facilitating more inclusive and comprehensive language processing applications.

关键词： Adaptation models Error analysis Transfer learning Collaboration Training data Named entity recognition Data models Multilingual Trajectory Context modeling

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Sensitivity Analysis of Reinforcement Learning for Massive-MultiAgent Systems 2

Sensitivity Analysis of Reinforcement Learning for Massive-M...

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2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing, AIAHPC 2022

作者： Liu, Zhiyuan Shen, Tianqi Li, Yupei Dept. of Computer Science University of Toronto TorontoON Canada Department of Aero Space Information Engineering Beihang University Beijing China Dept. of Computer Science University of Oxford Oxford United Kingdom

ISBN: (纸本)9781510657717

Over the past few years, reinforcement learning has become one of the most popular topics in the field of Machine Leaning. Its nature of unsupervised learning has made it rather powerful and convenient for solving specific tasks. Unlike decision trees, reinforcement learning models do not need a pre-configured policy tree to conduct actions, which makes it possible for machinery to solve extreme complex tasks such as playing GO or other games. One of the most powerful networks is the Deep-Q network. DQN picks the optimal action under current situation to achieve the largest reward. However, even though DQN has been tested to work well on single agent environments, there lack experiments of its performance on large massive multi-agent environment trainings. This paper conducts several experiments in Petting Zoo to test the performance and other factors that affect the performance of the DQN in a massive-multi-agent system. Results demonstrates that lager number of agents and experience replay size improve the performance of DQN in a "Battle" environment. © 2022 SPIE. All rights reserved.

关键词： Multi agent systems

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Sustainable Energy Efficient Routing Protocol using Chimp algorithm and SOM for Underwater Wireless Sensor Networks

Sustainable Energy Efficient Routing Protocol using Chimp al...

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2023 International Conference on Recent Advances in science and engineering Technology, ICRASET 2023

作者： Philip Paul Arunodhayam, T. Vadde, Akhil Raj Kumar, Thimmampali Prasanna Silas, Salaja Gandu, Shalem Preetham Harshith Kumar, Chamarti Karunya Institute of Technology and Sciences Dept. of Computer Science and Engineering Coimbatore India College of Engineering and Computing George Mason University Data Analytics Engineering VA Fairfax22030 United States

ISBN: (纸本)9798350306927

Underwater Wireless Sensor Networks (UWSNs) are increasingly being used for various applications, such as environmental monitoring, underwater exploration, and oceanographic research. protocols that consume less energy for underwater wireless sensor networks (UWSNs) are still a difficult undertaking because of the harsh conditions present underwater and the restricted battery capacity of the sensor nodes. This research paper proposes an optimized multi-Hop routing protocol using Chimp Optimization and Self-Organizing Map (SOM). The proposed technique is compared with three popular routing protocols - AODV, DSDV, and DSR in terms of network lifetime and packet delivery ratio. Chimp Optimization algorithm as well as SOM are used to improve network performance. The findings indicate that the put-forward technique exceeds the performance of existing routing protocols, as it increases network lifetime, PDR and PLR while decreasing packet loss ratio. The network lifetime of the put-forward technique is 1039.42 seconds, which is higher than AODV, DSDV, and DSR. Similarly, the PDR of the proposed technique is 97.38%, which is comparatively higher than the three routing protocols. Moreover, the PLR of the proposed technique is 2.62%, which is much lower than AODV, DSDV, and DSR. The proposed technique based on Chimp Optimization and SOM can effectively optimize the multi-Hop routing protocol in underwater wireless sensor networks to achieve sustainable energy efficiency, thus providing important insights for researchers and practitioners to enhance the performance of underwater wireless sensor networks. © 2023 IEEE.

关键词： Energy efficiency

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Improvising Early Detection of Diabetes through Deep Learning on Retinal Fundus images 3

Improvising Early Detection of Diabetes through Deep Learnin...

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3rd International Conference on Electronics and Renewable Systems, ICEARS 2025

作者： Balaji, Krishna Ganesh, Maniprabha Shankar Murali, Daneesh Pachiappan, Kalaivani Iyyanar, P. Jayakumar, Nithya Kongu Engineering College Dept. of Computer Science Erode India Sona College of Technology Dept. of Information Technology Salem India K.S Rangasamy College of Technology Dept. of Information Technology Tiruchengode India

ISBN: (纸本)9798331509675

Diabetes is a chronic disease whose timely and accurate diagnosis will prevent serious complications from health. This paper explores using iridology principles in a deep learning method to detect diabetes from retinal images in order to streamline the process and automate the procedure. The objective here is to create a non-invasive procedure for early and reliable detection of the disease. Deep learning in medical imaging is the new way to interfere with conventional modes of diagnostics. The retinal imaging is non-invasive and has, over the years, been put to use in medical examinations, and its potential is now absolutely being utilized in the early diagnosis of diabetes. A retinal analysis that is based on principles, integrating them into iridology, concentrating on the patterns and signs portrayed in the iris for possible reflections of a general health condition, is aimed at achieving earlier indications of diabetes in a more effortless and rapid way. Models such as ResNet50, ResNet101, and EfficientNetB7 were precious but actually, it was InceptionV3 that delivered a great accuracy of 97.14%. This result proves the feasibility application of InceptionV3 for diagnosing diabetes in the early stages, thus eventually providing an easy and non-invasive way of moving forward to better health. © 2025 IEEE.

关键词： Ophthalmology

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Web-based Brief Screening Test for Identifying Twenty Common Psychological Disorders 3

Web-based Brief Screening Test for Identifying Twenty Common...

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3rd International Informatics and Software engineering Conference, IISEC 2022

作者： Ahmed, Iftekhar Farrok, Omar Fuad, Abu M. Brac University Dept. of Computer Science & Engineering Dhaka Bangladesh Ahsanullah University of Science & Technology Dept. of Electrical & Electronics Engineering Dhaka Bangladesh

ISBN: (数字)9781665459952

ISBN: (纸本)9781665459952

As developing countries are facing psychologist and psychiatrist crises, screening tools can save time in consultancy. Although several screening tools are available, they are so time-consuming and none of them determines most of the common psychological disorders in a single test. To solve the problem and increase the treatment capability of psychologists or psychiatrists, a new psychological screening web application named 'MindSee' is proposed in this paper. It can detect 20 common psychological disorders within 10 minutes. It provides doctors with a brief map of the patient's overall information from food habit to mood swing without asking any questions manually. MindSee uses conditional logic and algorithm to cut-off redundant or repetitive questions according to the responder's answer choices to keep the duration of test within 10 minutes. With privacy, anyone can monitor one's progress of mental health from time to time taking MindSee screening test. MindSee is proposed as a psychological screening testing tool to support psychologists and psychiatrists. © 2022 IEEE.

关键词： Web services

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Appraisal of AlphaFold2-Predicted Models in Cryo-EM Map Interpretation

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Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada 2023年第1期29卷 977-978页

作者： Alshammari, Maytha He, Jing Wriggers, Willy Dept. of Computer Science Old Dominion University Norfolk VA United States Dept. of Mechanical & Aerospace Engineering Old Dominion University Norfolk VA United States

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Automated Assessment of Medical Rehabilitation of Gait by Means of Video Processing in Cloud Environment

Automated Assessment of Medical Rehabilitation of Gait by Me...

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E-Health and Bioengineering Conference (EHB)

作者： Elena-Claudia Maftei Otilia Zvorişteanu Hariton-Nicolae Costin Silviu Bejinariu Florin Rotaru Vasile Manta Ramona Luca Dept. of Computer Science and Engineering Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iaşi Institute of Computer Science Romanian Academy Iaşi Branch Iaşi Romania

ISBN: (数字)9798331532147

ISBN: (纸本)9798331532154

Human gait analysis provides qualitative and quantitative information concerning different characteristics of walking of a certain person. Cloud computing proves to be a modern and valuable technology when dealing with data scalability, security and efficiency of processing and storage. Also, this paradigm has some key-benefits like real-time data sharing, fast computation as well as collaborative research. The applications gamut which uses cloud computing is getting bigger and bigger, and healthcare sector is an important domain in this respect. Our approach proposed a cloud-based service designed for the automated assessment of medical rehabilitation of human gait by using video processing. We have chosen this processing technology because it is marker-less, allows fast computation and offers a very good precision of the gait analysis. Cloud computing approach proved to be encouraging and underscores remarkable advantages in comparison with traditional on-site video processing. In this way the patient, after a short training session, can himself/herself make tests and assessments of his/her mobility status, avoiding many consultations of medical or kineto-therapeutic staff.

关键词： Legged locomotion Training Cloud computing Scalability Medical services Gain measurement People with disabilities Real-time systems Security Personnel

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