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International Conference on ASIC

作者： Yuanxin Tian Yuejun Zhang Huihong Zhang Liang Wen Pengjun Wang Zhiyi Li Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China Department of Electronic Technology China Coast Guard Academy Ningbo China College of Electrical and Electronic Engineering Wenzhou University Wenzhou China

In order to address the radiation-induced effects in the timing units of configurable logic block(CLB), a design scheme for an anti-single event flip-flop based on master-slave D flip-flops has been proposed. This design scheme first optimizes the radiation-hardened structure of the dual-delay chains in SETTOFF and combines it with the functionality of the CLB timing unit to design a flip detection D flip-flop circuit. Then, the full-custom design method is used to complete the schematic and layout design of the circuit. Finally, the designed circuit was simulated using the TSMC 28nm CMOS process parameters in SPECTRE. The simulation results showed that the circuit has correct logical functionality and good transient characteristics. The experimental results demonstrated that the proposed D flip-flop can achieve the basic function of the CLB timing unit. The layout area is approximately 3.36μm 2 , and the power-delay product is about 1.01fJ. The simulation results revealed that the output Q exhibited a glitch with a voltage of approximately 0.3V, which was successfully corrected to the correct logic value.

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An Exploratory Study of Diverse Models and Datasets for Transfer Learning based Image Classification on Sparse Data

An Exploratory Study of Diverse Models and Datasets for Tran...

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Moratuwa engineering Research Conference (MERCon)

作者： Jathurshan Pathmarasa Udaya Wijenayake Ruchire Eranga Wijesinghe Bhagya Nathali Silva Department of Computer Engineering Faculty of Engineering University of Sri Jayewardenepura Nugegoda Sri Lanka Department of Electrical and Electronic Engineering Faculty of Engineering Sri Lanka Institute of Information Technology Malabe Sri Lanka Center for Excellence in Informatics Electronics & Transmission (CIET) Sri Lanka Institute of Information Technology Malabe Sri Lanka Department of Information Technology Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka

ISBN: (数字)9798331529048

ISBN: (纸本)9798331529055

Transfer learning is a powerful technique for image classification, especially when dealing with limited data. However, selection of the best transfer learning approach and model remains challenging, since the strategy is highly influenced by the scenario. This work conducted a thorough analysis of four transfer learning approaches for binary classification, and multiclass classification using four pretrained models i.e. MobileNetV2, MobileNetV3Large, EfficientNetB0, and EfficientNetB5. The test accuracy was measured with respect to the sample size considering the effects of data augmentation and fine tuning. The key finding of the study revealed that data augmentation has improved the test accuracy by up to $11.8 \%$. Moreover, the lightweight models marked a breakthrough by outperforming large scale models’ accuracy for sparse data settings when fine tuning (FT) and data augmentation (DA) are applied appropriately. Hence, this work provides a comprehensive overview on selecting different transfer learning approaches for sparse data classification by exploring diverse models and datasets, while discussing the consequences and challenges for future real-world applications.

关键词： Knowledge engineering Accuracy Transfer learning Optical wavelength conversion Data augmentation Feature extraction Size measurement Data models Tuning Image classification

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Development of a Smart IOT Enabled Arduino Glove Supporting Sign Language Communication

Development of a Smart IOT Enabled Arduino Glove Supporting ...

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International Conference on computer and Information technology (ICCIT)

作者： Muhammad Shahriar Zaman Richard Victor Biswas Department of Computer Science and Engineering Faculty of Science and Technology American International University-Bangladesh (AIUB) Dhaka Bangladesh Department of Electrical and Electronic Engineering Faculty of Engineering American International University-Bangladesh (AIUB) Dhaka Bangladesh

Deafness is an unfortunate issue of our society impairing many people. Around 3 million people in Bangladesh suffer from partial or complete deafness. One key challenge for these individuals is communicating with regular people. Various sign languages are available but very few people are knowledgeable about it. Keeping this issue in consideration this project has been developed. The smart Arduino glove allows the user to express their ideas by translating their fingerspelling as well as the gestures into comprehensible messages. The system also allows identification of common sentences by identifying simple gestures. The suggested system if applied in daily life can bring a positive change in the lives of deaf-mute individuals.

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Low Area PRESENT Cryptography in FPGA Using TRNG-PRNG Key Generation

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computers, Materials & Continua 2021年第8期68卷 1447-1465页

作者： T.Kowsalya R.Ganesh Babu B.D.Parameshachari Anand Nayyar Raja Majid Mehmood Department of Electronic and Communication Engineering Muthayammal Engineering CollegeRasipuramNamakkalTamilnaduIndia Department of Electronics and Communication Engineering SRM TRP Engineering CollegeTiruchirappalliTamilnaduIndia Department of Telecommunication Engineering GSSS Institute of Engineering and Technology for WomenMysuruIndia Faculty of Information Technology Graduate SchoolDuy Tan UniversityDa Nang550000Viet Nam Department of Information and Communication Technology School of Electrical and Computer EngineeringXiamen University MalaysiaSepang43900Malaysia

Lightweight Cryptography(LWC)is widely used to provide integrity,secrecy and authentication for the sensitive ***,the LWC is vulnerable to various constraints such as high-power consumption,time consumption,and hardware utilization and susceptible to the malicious *** order to overcome this,a lightweight block cipher namely PRESENT architecture is proposed to provide the security against malicious *** True Random Number Generator-Pseudo Random Number Generator(TRNG-PRNG)based key generation is proposed to generate the unpredictable keys,being highly difficult to predict by the ***,the hardware utilization of PRESENT architecture is optimized using the Dual port Read Only Memory(DROM).The proposed PRESENT-TRNGPRNG architecture supports the 64-bit input with 80-bit of key *** performance of the PRESENT-TRNG-PRNG architecture is evaluated by means of number of slice registers,flip flops,number of slices Look Up Table(LUT),number of logical elements,slices,bonded input/output block(IOB),frequency,power and *** input retrieval performances analyzed in this PRESENT-TRNG-PRNG architecture are Peak Signal to Noise Ratio(PSNR),Structural Similarity Index(SSIM)and Mean-Square Error(MSE).The PRESENT-TRNG-PRNG architecture is compared with three different existing PRESENT architectures such as PRESENT On-TheFly(PERSENT-OTF),PRESENT Self-Test Structure(PRESENT-STS)and PRESENT-Round Keys(PRESENT-RK).The operating frequency of the PRESENT-TRNG-PRNG is 612.208 MHz for Virtex 5,which is high as compared to the PRESENT-RK.

关键词： Dual port read only memory hardware utilization lightweight cryptography malicious attackers present block cipher pseudo random number generator true random number generator

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CARA: A Hybrid Framework Integrating Swarm AI Agents and Knowledge Graphs for Advanced LLM Reasoning

CARA: A Hybrid Framework Integrating Swarm AI Agents and Kno...

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Advancements in Computing (ICAC), International Conference on

作者： Nirodya Pussadeniya Ruchira Wijesinghe Udaya Wijenayake Bhagya Silva Department of Computer Engineering Faculty of Engineering University of Sri Jayewardenepura Nugegoda Sri Lanka Department of Electrical and Electronic Engineering Faculty of Engineering Sri Lanka Institute of Information Technology Malabe Sri Lanka Center for Excellence in Informatics Electronics Transmission (CIET) Sri Lanka Institute of Information Technology Malabe Sri Lanka Department of Information Technology Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka

ISBN: (数字)9798331517878

ISBN: (纸本)9798331517885

Language models excel in linguistic processing but often face challenges with complex reasoning tasks that require real-world interaction and multi-step logic. This paper presents the Cognitive Adaptive Reasoning Architecture (CARA), a framework that enhances reasoning by integrating a modular swarm architecture with knowledge graphs (KGs) and specialized agents. These agents, equipped with diverse tools, dynamically adapt to various tasks, actively engaging with real-world data. CARA's continuous memory update cycle ensures each reasoning step is based on up-to-date, contextual KG knowledge, enhancing decision-making. Incorporating human insights further aligns outcomes with nuanced cognition. Experimental results demonstrate CARA's superior performance over larger models, advancing language models' reasoning capabilities for more context-aware, informed decision-making in dynamic environments.

关键词： Adaptation models Adaptive systems Decision making Training data Knowledge graphs Linguistics Cognition Artificial intelligence Standards Context modeling

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Automated Hand Gesture Recognition for Enhancing Sign Language Communication

Automated Hand Gesture Recognition for Enhancing Sign Langua...

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IEEE EMBS Conference on Biomedical engineering and Sciences (IECBES)

作者： Lee Teck Junn Ashvaany Egambaram Vikneswary Jayapal Department of Computer Science Faculty of Information and Communication Technology Universiti Tunku Abdul Rahman Perak Malaysia Department of Electrical and Electronic Engineering Centre for Intelligent Signal & Imaging Research Universiti Teknologi PETRONAS Perak Malaysia Department of Computer & Communication Technology Faculty of Information and Communication Technology Universiti Tunku Abdul Rahman Perak Malaysia

ISBN: (数字)9798350383409

ISBN: (纸本)9798350383416

This paper presents a novel approach to improving communication between individuals with hearing difficulties, with people of normal hearing capacity and unfamiliar with sign language. The work combines advanced technologies, such as artificial intelligence (AI) and computer vision to address the communication barriers faced by this group. Recent advancements in AI have made this possible. By using techniques like deep learning and computer vision, the work aims to develop a model that can turn complex sign language gestures into comprehensible/ interpretable language. Sequential deep learning models, specifically Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU), are used to recognize sign language gestures using Tensor Flow, with the assistance of MediaPipe Holistic. This application aims to narrow the communication divide between individuals proficient in sign language and those unfamiliar with it. This paper highlights the potential for a beneficial outcome through the fusion of AI and computer vision, especially given the widespread availability of video accessibility on smartphones and the growing influence of AI. The result shows that GRU performs better than LSTM in recognizing the sign language gestures with an average accuracy of 97%.

关键词： Hands Deep learning Sign language computer vision Accuracy Computational modeling Real-time systems Artificial intelligence Long short term memory Smart phones

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Full-custom Design of Improved Carry Adder Circuit for CLBs

Full-custom Design of Improved Carry Adder Circuit for CLBs

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International Conference on ASIC

作者： Mengfan Xu Yuejun Zhang Huihong Zhang Liang Wen Tengfei Yuan Pengjun Wang Zhiyi Li Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China Department of Electronic Technology China Coast Guard Academy Ningbo China College of Electrical and Electronic Engineering Wenzhou University Wenzhou China

As a highly repetitive logic operation unit in programmable logic modules, the operating speed of a carry adder circuit is crucial to the overall performance of the programmable logic circuit. In order to optimize circuit propagation delay and area overhead, this paper proposes an improved design scheme for carry adder circuits. Firstly, several basic adder structure types and their performance characteristics are compared to determine the most suitable architecture for carry adder circuits in programmable modules. Then, based on the carry-propagate principle of the carry lookahead adder, a novel single MOS transmission gate structure is proposed to optimize the underlying carry logic circuit. Finally, the carry adder circuit is implemented using a full-custom design flow in TSMC 28nm technology. Experimental results show that compared to existing logic designs, the proposed carry adder circuit in this paper reduces propagation delay and area overhead by 14% and 26.5% respectively.

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A New IoT-Based Smart Greenhouse for Cultivation of Water Convolvulus

A New IoT-Based Smart Greenhouse for Cultivation of Water Co...

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13th International Electrical engineering Congress, iEECON 2025

作者： Akkaraekthalin, Prayoot Somwong, Tanee Chudpooti, Nonchanutt Hirun, Nuttawut Meesomklin, Suwaluck King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok10800 Thailand Rajamangala University of Technology Suvarnabhumi Faculty of Engineering and Architecture Department of Electronic and Telecommunications Engineering Nonthaburi11000 Thailand King Mongkut's University of Technology North Bangkok Faculty of Applied Science Department of Industrial Physics and Medical Instrumentation Bangkok10800 Thailand King Mongkut's University of Technology North Bangkok College of Industrial Technology Department of Electronics Engineering Technology Bangkok10800 Thailand

ISBN: (纸本)9798331543952

This paper presents a new IOT system for monitoring and controlling plant cultivation in greenhouse system. The system aims to regulate and monitor the environmental conditions suitable for plant cultivation in real-time. The system utilizes sensors to measure environmental conditions, such as soil moisture sensor, light intensity sensor, temperature sensor, and air humidity sensor. The Node MCU ESP32 is used for processing and controlling these operations. The system is designed to send notifications through Line application and allows farmers to monitor the system's performance and plant growth in real-time via a smartphone application. It can utilize the Blynk IoT application on a smartphone for remotely monitoring and controlling the environmental conditions and provides historical data. This experiment demonstrates that the designed system can successfully cultivate plants and promote better growth compared to traditional cultivation methods with a 13.38% improvement. Additionally, it provides convenience and ease of management for plant cultivation. © 2025 IEEE.

关键词： greenhouse system IOT smart agriculture Smart farming water convolvulus

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Autonomous Pharmaceutical Care with Large Language Models

Autonomous Pharmaceutical Care with Large Language Models

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Yutao Dou Zike Deng Tao Xing Jian Xiao Shaoliang Peng College of Computer Science and Electronic Engineering Hunan University Changsha China Department of Computer Science Faculty of Engineering The University of Hong Kong Hong Kong China College of Computer Science and Engineering Guilin University of Technology Guilin China Department of Pharmacy Xiangya Hospital Central South University Changsha China

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

In modern healthcare systems, physicians often diagnose and prescribe within their specific fields of expertise. However, this compartmentalized approach may not fully assess the overall health condition of patients, leading to potential risks associated with polypharmacy, such as drug-drug interactions. Consequently, pharmaceutical care becomes a critical systemic task, typically managed by clinical pharmacists. Despite their crucial role, clinical pharmacists face challenges in providing personalized medication guidance due to the vast and rapidly evolving body of medical knowledge. With the advancement of artificial intelligence and large language models (LLMs), these technologies have demonstrated significant potential in pharmaceutical care by effectively reducing medication errors and adverse drug events, and alleviating the workload of healthcare professionals. However, existing LLMs still struggle with the accurate interpretation and automated execution of tasks in complex clinical scenarios like pharmaceutical care. To address these challenges, we developed the Shennong-Agent system, a multi-agent framework for LLMs with integrated multimodal inputs. Shennong-Agent is enabled to analyze and segment tasks using chained reasoning and autonomously perform complex pharmacy care tasks using tools such as knowledge retrieval and web search. Rigorously evaluated by medical experts, this system not only surpasses existing LLMs in performance but also enhances its capabilities through reinforcement learning with human feedback.

关键词： Drugs Knowledge engineering Patents Large language models Soft sensors Medical services Reinforcement learning Medical diagnostic imaging Web search Monitoring

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Single-Layer Wideband Circularly Polarized Antenna Using Non-Uniform Metasurface for C-band Applications

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computers, Materials & Continua 2021年第8期68卷 2487-2498页

作者： Huy Hung Tran Khoa Nguyen-Dang Niamat Hussain Faculty of Electrical and Electronic Engineering PHENIKAA UniversityHanoi12116Vietnam PHENIKAA Research and Technology Institute(PRATI) A&A Green Phoenix Group JSCCau Giay11313HanoiVietnam Department of Computer and Communication Engineering Chungbuk National UniversityCheongju 28644Korea

A single-layer design of non-uniform metasurface(MS)based circularly polarized(CP)antenna with wideband operation characteristic is proposed and investigated in this *** antenna is excited by a truncated corner squared patch as a primary radiating CP ***,a non-uniform MS is placed in the same layer with the driven *** increasing the impedance bandwidth,the non-uniform MS also generates two additional CP bands in the high frequency band,leading to significantly increase the antenna’s overall *** use of non-uniform MS distinguishes our design from the other CP MS based antennas in literature,in which the MS is formed by multiple uniform unit cells and placed in different layer with the radiating *** validation,an antenna prototype,whose overall dimensions of 0.94λ_(o)×0.94λ_(o)×0.06λ_(o) at the center operating frequency,is fabricated and experimentally *** measured operating bandwidth with|S11|≤−10 dB and AR≤3 dB is 27.1%(5.1–6.7 GHz)and the broadside gain within this band is from 5.7 to 7.2 *** to the other related works,the proposed antenna has advantage of very wideband operation with single-layer design.

关键词： Circular polarization metasurface non-uniform patch antenna wideband

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