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1st IEEE International Conference on Computing and Data Science, ICCDS 2024

作者： Bavya, S. Saravana Kumar, V. Kavitha, M. Anantha SivaPrakasam, S. Vels Institute of Science Technology & Advanced Studies Department of Computer Science & Engineering Chennai India Sreenidhi Institute of Science and Technology Department of Information Technology Hyderabad India S A Engineering College Department of Computer Science & Engineering Chennai India Rajalakshmi Engineering College Department of Computer Science & Technology Chennai India

ISBN: (数字)9798350365337

ISBN: (纸本)9798350365337

In the majority of Western nations including America, Australia and Europe, skin cancer is badly-behaved. Skin concealing, inadequacy of Sun-lights, climate, age, and inherited are major risk factors. Early identification of skin cancer and proceed the treatment can avoid death. The abnormal skin region determines where the skin diseases had been found. Various sorts of skin ailments be existent currently. Melanoma is the sort of skin threat which has grows the greater part of mortality rate. The timely identification and intercession of melanoma include myriad changes of fix. Melanoma has been recognized by shape, size, concealing and outward of the skin injury. This paper demonstration about the traditional clustering technique in particular Fuzzy Clustering technique is acted in these skin lesion pictures. This strategy is segmenting this melanoma from these dermoscopic images effectively. The presentation of this strategy is assessed as far as pixel grouped and time complexity. © 2024 IEEE.

关键词： Feature extraction

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Leveraging Artificial Intelligence in computer Science to Manage Stress and Anxiety: Applications and Innovations 2

Leveraging Artificial Intelligence in Computer Science to Ma...

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2nd International Conference on Advances in Computation, Communication and Information Technology, ICAICCIT 2024

作者： Mittal, Ketan Shikha Sharma, Ronak Attri, Jeevesh Kumar Taneja, Kritika Department of Computer Science and Engineering Manav Rachna International Institute of Research and Studies Faridabad India Department of electrical and electronics engineering Manav Rachna International Institute of Research and Studies Faridabad India

ISBN: (纸本)9798331541217

This study explores the effectiveness, ethical considerations, and demographic influences of AI-based interventions in managing stress and anxiety. AI technologies, including Machine Learning, Natural Language Processing (NLP), and Biometric Monitoring, have shown promising results in reducing stress and anxiety across diverse populations. Machine Learning algorithms excel in predictive analytics, enabling early detection and intervention, while NLP tools offer real-time cognitive-behavioural therapy (CBT) and emotional support through AI-powered chatbots. Biometric Monitoring provides objective physiological data, further enhancing the precision of stress management strategies. However, the effectiveness of these interventions is influenced by demographic variables such as age, gender, socio-economic status, and cultural background, with younger, tech-savvy users and those of higher socio-economic status showing greater engagement and benefit. Also, the mobile application named "sahayya" has been discussed along with its merits. Discussing how technology can be put to better use. © 2024 IEEE.

关键词： Adversarial machine learning

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Ultra-low-defect homoepitaxial micro-LEDs with enhanced efficiency and monochromaticity for high-PPI AR/MR displays

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PhotoniX 2024年第1期5卷 335-356页

作者： Yibo Liu Guobin Wang Feng Feng Mengyuan Zhanghu Zhengnan Yuan Zichun Li Ke Xu Hoi Sing Kwok Zhaojun Liu Department of Electronic and Computer Engineering The Hong Kong University of Science and TechnologyHong Kong SARChina Department of Electrical and Electronic Engineering Southern University of Science and TechnologyShenzhenChina Suzhou Institute of Nano-Tech and Nano-Bionics Chinese Academy of SciencesJiangsu Institute of Advanced SemiconductorsSuzhouChina

The issue of brightness in strong ambient light conditions is one of the critical obstacles restricting the application of augmented reality(AR)and mixed reality(MR).Gallium nitride(GaN)-based micro-LEDs,renowned for their exceptional brightness and stability,are considered the foremost contenders for AR ***,conventional heteroepitaxial growth micro-LED devices confront formidable challenges,including substantial wavelength shifts and efficiency *** this paper,we firstly demonstrated the high-quality homoepitaxial GaN-on-GaN micro-LEDs microdisplay,and thoroughly analyzed the possible benefits for free-standing GaN substrate from the material-level characterization to device optoelectronic properties and microdisplay application compared with sapphire *** GaN-on-GaN structure exhibits a superior crystal quality with ultra-low threading dislocation densities(TDDs)of~105 cm^(-2),which is three orders of magnitude lower than that of *** an in-depth size-dependent optoelectronic analysis of blue/green emission GaN-on-GaN/Sapphire micro-LEDs from 100×100 shrink to 3×3μm^2),real that a lower forward voltage and series resistance,a consistent emission wavelength(1.21 nm for blue and 4.79 nm for green@500 A/cm2),coupled with a notable reduction in efficiency droop ratios(15.6%for blue and 28.5%for green@500 A/cm^(2))and expanded color gamut(103.57%over Rec.2020)within GaN-on-GaN 10μm *** but not least,the GaN-on-GaN micro-display with 3000 pixels per inch(PPI)showcased enhanced display uniformity and higher luminance in comparison to its GaN-on-Sapphire counterpart,demonstrating significant potentials for high-brightness AR/MR applications under strong ambient light.

关键词： optoelectronic ambient epitaxial

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14-Bit SAR ADC with on-Chip Digital Bubble Sorting Calibration Technology

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Chinese Journal of Electronics 2025年第1期34卷 125-136页

作者： Hua Fan Zhuorui Chen Tongrui Xu Franco Maloberti Qi Wei Quanyuan Feng School of Integrated Circuit Science and Engineering(Exemplary School of Microelectronics) University of Electronic Science and Technology of China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Chongqing Institute of Microelectronics Industry Technology University of Electronic Science and Technology of China Department of Electrical Computer and Biomedical Engineering University of Pavia Department of Precision Instrument Tsinghua University Institute of Microelectronics Southwest Jiaotong University

This article designs a 14-bit successive approximation register analog-to-digital converter（SAR ADC）.A novel digital bubble sorting calibration method is proposed and applied to eliminate the effect of capacitor mismatch on the linearity of the SAR ADC. To reduce the number of capacitors, a hybrid architecture of a high 8-bit binary-weighted capacitor array and a low 6-bit resistor array is adopted by the digital-to-analog（DAC）. The common-mode voltage VCM-based switching scheme is chosen to reduce the switching energy and area of the DAC. The time-domain comparator is employed to obtain lower power consumption. Sampling is performed through a gate voltage bootstrapped switch to reduce the nonlinear errors introduced when sampling the input signal. Moreover, the SAR logic and the whole calibration is totally implemented on-chip through digital integrated circuit（IC） tools such as design compiler, IC compiler, etc. Finally, a prototype is designed and implemented using 0.18 μm bipolar-complementary metal oxide semiconductor（CMOS）-double-diffused MOS 1.8 V CMOS technology. The measurement results show that the SAR ADC with on-chip bubble sorting calibration method achieves the signal-to-noise-and-distortion ratio of 69.75 dB and the spurious-free dynamic range of 83.77 dB.

关键词： Semiconductor device measurement Capacitors Linearity Switches Calibration System-on-chip Frequency measurement Time-domain analysis Sorting Signal to noise ratio

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Enhancing WRSN Sustainability through On-demand Directional Wireless Charging with Multiple Green-powered Mobile Vehicles

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IEEE Internet of Things Journal 2025年第11期12卷 18019-18030页

作者： Ma, Xiongbo Liu, Xilong Ansari, Nirwan Ding, Jun The School of Information Science and Engineering Yunnan University Yunnan Kunming650500 China The Advanced Networking Laboratory Helen & John C. Hartmann Department of Electrical and Computer Engineering New Jersey Institute of Technology NewarkNJ07102 United States

Current research on scheduling mobile charging vehicles (MCVs) generally focuses on periodic and omnidirectional charging of sensor nodes (SNs). However, this approach leads to significant energy wastage, especially when relying on fossil energy sources. In this work, we propose to schedule multiple green energy-powered MCVs equipped with directional antennas to efficiently charge SNs. We first develop an on-demand and directional charging model based on far-field wireless charging. Then, we formulate the SN survival maximization problem to efficiently prolong the lifetime of wireless rechargeable sensor networks (WRSNs). Given the NP-hard nature of this optimization problem, we develop the three-Step directIonal wireless charGiNg (SIGN) algorithm to efficiently solve this problem. SIGN strategically determines the MCVs’ anchor points (APs), traveling paths and wireless energy emitting directions. Finally, we conduct extensive simulation experiments to validate the superiority of our proposed algorithm in optimizing energy usage and prolonging network lifetime. © 2014 IEEE.

关键词： Wireless charging

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Accuracy Enhancing Time Limited Model Reduction Framework: Computational Efficiency in Power Systems 21

Accuracy Enhancing Time Limited Model Reduction Framework: C...

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21st International Bhurban Conference on Applied Sciences and Technology, IBCAST 2024

作者： Latif, Muhammad Ambreen, Hira Imran, Muhammad Zafar, Samra Imran, Muhammad Bashir, Sajid Sir Syed Center for Advanced Studies in Engineering Department of Electrical Engineering Islamabad Pakistan Department of Electrical Engineering Islamabad Pakistan Henan University School of Computer and Information Engineering Kaifeng475001 China College of Electrical & Mechanical Engineering NUST Islamabad Pakistan

ISBN: (纸本)9798331516680

The analytical and modelling precision required to build modern wind turbines makes them stable, controlled, and observable. This article presents a state-of-the-art method for lowering the model order of a wind turbine driven by a double-fed induction generator, where the rotational speed varies over time. The suggested approach uses state-space representations to set up a comprehensive and systematic framework for analysing wind turbine performance and checking for compliance with grid standards. A time-constrained Gramians-based novel balanced realization approach is employed to reduce the dimensionality of the large-scale wind turbine model. Stability and reduced approximation error are two benefits of the lower-order system. The proposed method also gives researchers an a priori formula for the error-bound, making computations faster and more efficient. Using substantial simulation data, we show that our method improves upon previous methods in optimising models that include wind turbines with changing rotational speeds, taking into account both stability and error computation. To enhance the efficacy and accuracy of their modeling procedures, academics and researchers analyzing wind turbines should incorporate this new methodology. © 2024 IEEE.

关键词： Asynchronous generators

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Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration 2

Conformity, Confabulation, and Impersonation: Persona Incons...

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2nd Workshop on Cross-Cultural Considerations in NLP, C3NLP 2024

作者： Baltaji, Razan Hemmatian, Babak Varshney, Lav R. Department of Electrical and Computer Engineering United States Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign United States

ISBN: (纸本)9798891761469

This study explores the sources of instability in maintaining cultural personas and opinions within multi-agent LLM systems. Drawing on simulations of inter-cultural collaboration and debate, we analyze agents’ pre- and post-discussion private responses alongside chat transcripts to assess the stability of cultural personas and the impact of opinion diversity on group outcomes. Our findings suggest that multi-agent discussions can encourage collective decisions that reflect diverse perspectives, yet this benefit is tempered by the agents’ susceptibility to conformity due to perceived peer pressure and challenges in maintaining consistent personas and opinions. Counterintuitively, instructions that encourage debate in support of one’s opinions increase the rate of inconstancy. Without addressing the factors we identify, the full potential of multi-agent frameworks for producing more culturally diverse AI outputs will remain untapped. © 2024 Association for Computational Linguistics.

关键词： Chatbots

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A Hyperbolic Micromagnet for Multiple Spin Qubits with Fast Rabi Oscillations and High Addressability

IEEE Electron Device Letters

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IEEE Electron Device Letters 2024年第4期45卷 526-529页

作者： Chang, Che-Hao Li, Yu-Cheng Wu, Yu-Jui Liao, Chen-Yao Lin, Min-Jui Tsao, Hung-Yu Li, Jiun-Yun Graduate Institute of Electronics Engineering National Taiwan University Taipei10617 Taiwan Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science CambridgeMA02139 United States National Taiwan University Department of Electrical Engineering Graduate Institute of Electronics Engineering Graduate School of Advanced Technology Taipei10617 Taiwan Taiwan Semiconductor Research Institute Hsinchu30078 Taiwan

We demonstrate a hyperbolic micromagnet to increase the manipulation speed of electron spins in silicon quantum dots using electric dipole spin resonance (EDSR). For single qubits, the hyperbolic magnet provides a large gradient of transverse magnetic fields of 4.9 mT/nm with the corresponding Rabi frequency ( 69 MHz). We then demonstrate that this hyperbolic micromagnet can drive a linear array of qubits with Rabi frequencies of 19 69 MHz and a high addressability (minimum difference of Larmor frequencies) up to 590 MHz to suppress the crosstalk between different qubits. We show that 15 qubits can be effectively addressed for high fidelity by this hyperbolic micromagnet. © 1980-2012 IEEE.

关键词： Magnetic fields

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Lightweight, High-Entropy TRNG Using Quad Cross-Coupled Feedback Architecture

Lightweight, High-Entropy TRNG Using Quad Cross-Coupled Feed...

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2025 IEEE SoutheastCon, SoutheastCon 2025

作者： Williams, Shelby Kirtonia, Prosen Akter, Sonia Khalil, Kasem Bayoumi, Magdy Univ. of Mississippi Department of Electrical and Computer Engineering OxfordMS38677 United States Univ. of Louisiana at Lafayette Center for Advanced Computer Studies LafayetteLA70504 United States Univ. of Louisiana at Lafayette Dept. of Electrical and Computer Engineering LafayetteLA70504 United States

ISBN: (纸本)9798331504847

This paper presents a lightweight, high-entropy true random number generator architecture featuring an innovative quad cross-coupled feedback mechanism to enhance randomness. The primary goal is to develop an efficient and secure true random number generator that addresses the growing demand for reliable random number generation in cryptographic and security-critical applications. The motivation stems from the need to improve entropy, reduce resource utilization, and ensure robustness across varying technologies. With the intention of achieving near-perfect randomness, the Quad-Input Oscillating Circuit module integrates self-coupled, jitter-inducing ring oscillators with cross-coupled feedback loops to induce metastability. Comprehensive evaluations confirm a Shannon entropy of 0.999818, a minimum entropy of 0.977257, and a collision entropy of 0.999636. The design was synthesized using Synopsys Design Compiler at 45 nm, 32 nm, and 14 nm, achieving a maximum frequency of 6.7 GHz, power consumption as low as 72 μW, and area utilization of 24 μ m2 at 14 nm. Rigorous validation through multiple statistical test suites, including the AIS-31, Autocorrelation, Deviation, Diehard, the National institute of Standards and Technologies SP800-22 and SP800-90B, and TestU01, confirms its efficiency and reliability. Real random bits were implemented as oscilloscope-viewable signals on the Cyclone V Field Programmable Gate Array developed by Altera, representing a significant advancement in secure random number generation technologies. © 2025 IEEE.

关键词： Field programmable gate arrays (FPGA)

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IOT Design and Water Monitoring of an Aquaponic System 3

IOT Design and Water Monitoring of an Aquaponic System

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3rd IEEE International Conference on Signal, Control and Communication, SCC 2023

作者： Asma, Takrouni Hedfi Mohamed, Houmia Kaouther, Laabidi Omri Higher Institute of Technological Studies Electrical Engineering Department Tozeur Tunisia Network and Engineering University of Jeddah Department of Electrical and Computer Saudi Arabia

ISBN: (纸本)9798350326390

The concept of smart agriculture involves integrating fish and plants in the same environment. This paper showcases an aquaponics system that utilizes an Arduino board, sensors, and hardware devices for its design and monitoring. The system is a closed-loop ecosystem that combines fish farming (aquaculture) and soilless plant growing (hydroponics). This innovative approach is beneficial for both the aquaculture and horticultural sectors as it enables the permanent reuse of water for breeding and reduces the use of chemical inputs in crop production management. The aquaponic system is self-regulating and can adjust itself when the pH, temperature, and water level sensors indicate that they are out of range. This is accomplished by combining the concept of embedded systems with the IOT (Internet of Things). © 2023 IEEE.

关键词： Hydroponics

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