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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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Write-Once-Read-Many-Times Nonvolatile Memory Characteristics of Sol-Gel Hafnium Zirconium Oxide

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IEEE Transactions on Electron Devices 2024年第5期71卷 3285-3292页

作者： Jhang, Wun-Ciang Hsieh, Tsung-Chun Zhang, Xuan-Zhi Qiu, Zi-Rong Hsu, Chih-Chieh Joodaki, Mojtaba National Yunlin University of Science and Technology Graduate School of Engineering Science and Technology The Graduate School of Electronic Engineering Douliu64002 Taiwan Constructor University School of Computer Science and Engineering Bremen28759 Germany

In this article, write-once-read-many-times (WORM) memory behavior of HfZrO (HZO) ferroelectric material is demonstrated. A stoichiometric Hf0.5Zr0.5O2 thin film prepared using a sol-gel process is used as a resistive switching (RS) layer. The top and bottom electrodes are Al and n+-Si, respectively. The Al/HZO/n+-Si memory shows a low current of 10-11 A at a read voltage of 0.6 V in the OFF state. A writing process occurs when the voltage on Al electrode increases to ∼2.8 V. The ratio of the OFF-state resistance (Roff) to ON-state resistance (Ron) is 106. Both data retention and stress tests indicate that Roff and Ron can remain the same for over 104s. Moreover, data stability is further confirmed at an elevated temperature of 85 °C. The switching speed of the HZO memory is 40 ns, corresponding to a power consumption of 0.98 nJ. The RS mechanism is investigated, and the carrier conduction mechanisms are studied by the analysis of current-voltage characteristics at different temperatures. © 1963-2012 IEEE.

关键词： X ray scattering

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Visualization and Simulation of Any MPU Architecture Design with Meta-Instruction 23

Visualization and Simulation of Any MPU Architecture Design ...

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23rd International Symposium on Communications and Information Technologies, ISCIT 2024

作者： Morimoto, Tomoyuki Wang, Ziming Luo, Jiahui Ogawa, Sota Tsutsumi, Toshiyuki Meiji University Department of Computer Science School of Science and Technology Kanagawa Japan Graduate School of Science and Technology Meiji University Computer Science Program Kanagawa Japan

ISBN: (纸本)9798350353952

Our conventional architecture design tool converted instructions of microprocessor (MPU) into meta-instructions with both semantic and functional expressions, and it displayed a circuit diagram of the meta-instruction. The tool was able to perform dynamic simulation only on an educational processor called COMET. However, the meta-instruction must be able to express the arbitrary instruction of at least different significant existing MPUs in order to design arbitrary MPUs. Furthermore, it should be possible to visualize all instructions and then execute them. Therefore, we have improved the meta-instruction so that the architecture design tool applies to major MPUs: MIPS, ARM, and RISC-V in addition to COMET. The improved architecture design tool visualizes and simulates the circuit diagram of the improved meta-instruction. The result shows the possibility of the meta-instruction-based architecture design tool being able to design any MPU. © 2024 IEEE.

关键词： Microprocessor chips

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Imagery contents descriptions for People with visual impairments 22

Imagery contents descriptions for People with visual impairm...

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22nd Brazilian Symposium on Human Factorsin Computing Systems, IHC 2023

作者： Jandrey, Alessandra Helena Ruiz, Duncan Dubugras Alcoba Silveira, Milene Selbach School of Technology Graduate Program in Computer Science - PUCRS Brazil

ISBN: (纸本)9798400717154

Image descriptions are crucial in assisting individuals without eyesight by providing verbal representations of visual content. While manual and Artificial Intelligence (AI)-generated descriptions exist, automatic description generators have not fully met the needs of visually impaired People. In this study, we have examined the problems related to image descriptions reported in existing literature using the Snowballing technique. Through this method, we have identified thirteen issues, including ethical concerns surrounding physical appearance, gender and identity, race, and disability. Furthermore, we have identified five reasons why sighted Individuals often fail to provide descriptions for visual content, highlighting the necessity for accessibility campaigns that raise awareness about the social significance of descriptive sentences. We conducted interviews with eight low-vision volunteers, in which we analyzed the characteristics of descriptive sentences for 25 indoor images and gathered participants' expectations regarding image descriptions. As a result, we propose a set of Good Practices for writing descriptive sentences aimed to assist automatic tools and sighted Individuals in generating more satisfactory and high-quality image descriptions. We hope our results will emphasize the societal importance of imagery descriptions and inspire the community to pursue further interdisciplinary research to address the issues identified in our study. © 2023 ACM.

关键词： Image analysis

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Modifying Lyapunov exponent of chaotic map by self-cascading

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science China(Technological sciences) 2024年第7期67卷 2203-2214页

作者： YI ChenLong LI ChunBiao LI YongXin XIA Ming HUA ZhongYun School of Electronic and Information Engineering Nanjing University of Information Science&TechnologyNanjing 210044China School of Artificial Intelligence Nanjing University of Information Science&TechnologyNanjing 210044China School of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate SchoolShenzhen 518055China

The self-cascade(SC) method is an effective technique for chaos enhancement and complexity increasing in chaos ***, the controllable self-cascade(CSC) method allows for more accurate control of Lyapunov exponents of the discrete map. In this work, the SC and CSC systems of the original map are derived, which enhance the chaotic performance while preserving the fundamental dynamical characteristics of the original map. Higher Lyapunov exponent of chaotic sequences corresponding to higher frequency are obtained in SC and CSC systems. Meanwhile, the Lyapunov exponent could be linearly controlled with greater flexibility in the CSC system. The verification of the numerical simulation and theoretical analysis is carried out based on the platform of CH32.

关键词： self-cascade controllable self-cascade chaos enhancement chaos control

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DualSmoke: Sketch-based smoke illustration design with two-stage generative model

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Computational Visual Media 2024年第5期10卷 965-979页

作者： Haoran Xie Keisuke Arihara Syuhei Sato Kazunori Miyata Graduate School of Advanced Science and Technology Japan Advanced Institute of Science and Technology1-1 NomiIshikawa 9231292Japan Graduate School of Computer and Information Sciences Hosei University3-7-2 Kajino-choKoganei-shiTokyo 1848584Japan

The dynamic effects of smoke are impressive in illustration design,but it is a troublesome and challenging issue for inexpert users to design smoke effects without domain knowledge of fuid *** this work,we propose DualSmoke,a two-stage globalto-local generation framework for interactive smoke illustration *** the global stage,the proposed approach utilizes fluid patterns to generate Lagrangian coherent structures from the user's hand-drawn *** the local stage,detailed flow patterns are obtained from the generated coherent ***,we apply a guiding force field to the smoke simulator to produce the desired smoke *** construct the training dataset,DualSmoke generates flow patterns using finite-time Lyapunov exponents of the velocity *** synthetic sketch data are generated from the fow patterns by skeleton *** user study verifies that the proposed design interface can provide various smoke illustration designs with good user *** code is available at https://***/shasph/DualSmoke.

关键词： smoke simulation flow control generative adversarial network(GAN) finite-time lyapunov exponent(FTLE) Lagrangian coherent structure(LCS)

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programmable directional color dynamics using plasmonics

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Microsystems & Nanoengineering 2024年第1期10卷 325-334页

作者： Gyurin Kim Doeun Kim Soeun Ko Jang-Hwan Han Juhwan Kim Joo Hwan Ko Young Min Song Hyeon-Ho Jeong School of Electrical Engineering and Computer Science Gwangju Institute of Science and TechnologyGwangju 61005Republic of Korea Department of Semiconductor Engineering Gwangju Institute of Science and TechnologyGwangju 61005Republic of Korea Artificial Intelligence(AI)Graduate School Gwangju Institute of Science and TechnologyGwangju 61005Republic of Korea

Adaptive multicolor filters have emerged as key components for ensuring color accuracy and resolution in outdoor visual ***,the current state of this technology is still in its infancy and largely reliant on liquid crystal devices that require high voltage and bulky structural ***,we present a multicolor nanofilter consisting of multilayered‘active’plasmonic nanocomposites,wherein metallic nanoparticles are embedded within a conductive polymer *** nanocomposites are fabricated with a total thickness below 100 nm using a‘lithography-free’method at the wafer level,and they inherently exhibit three prominent optical modes,accompanying scattering phenomena that produce distinct dichroic reflection and transmission ***,a pivotal achievement is that all these colors are electrically manipulated with an applied external voltage of less than 1 V with 3.5 s of switching speed,encompassing the entire visible ***,this electrically programmable multicolor function enables the effective and dynamic modulation of the color temperature of white light across the warm-to-cool spectrum(3250 K-6250 K).This transformative capability is exceptionally valuable for enhancing the performance of outdoor optical devices that are independent of factors such as the sun’s elevation and prevailing weather conditions.

关键词： directional prevailing exceptional

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Understanding Brain Network Stimulation for Emotion Analyzing Connectivity Feature Map from Electroencephalography

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International Journal of Advanced computer science and Applications 2025年第4期16卷 542-551页

作者： Maria, Mahfuza Akter Akhand, M.A.H. Kamal, Abdus Samad Department of Computer Science and Engineering Khulna University of Engineering & Technology Khulna9203 Bangladesh Graduate School of Science and Technology Gunma University Kiryu376-8515 Japan

In understanding brain functioning by Electroencephalography (EEG), it is essential to be able to not only identify more active brain areas but also understand connectivity among different areas. The functional and efficient connectivity networks of the brain have been examined in this study by constructing a connectivity feature map (CFM) with four widely used connectivity methods from the Database for Emotion Analysis Using Physiological Signals (DEAP) emotional EEG data to research how this connectivity’s patterns are influenced by emotion. According to the investigation results, emotions are mainly related to the parietal, central, and frontal regions. The parietal region is more responsible for emotion alteration among these three regions. Positive emotions are associated with more direct correlations and dependencies than negative ones. When experiencing negative emotions, the regions of the brain function more synchronously as well as there are less flow of information. Whether direct or inverse, there is less correlation between brain regions in the higher frequency band than in the lower frequency band. Higher frequencies are associated with increased dependence and directed information transfer between brain regions. Generally, the electrodes in the same lobe show stronger connectivity than those in different lobes. At a glance, the present study is a comprehensive analysis to understand brain network stimulation for emotion from EEG, and it significantly differs from the existing emotion recognition studies typically focused on recognition proficiency. © (2025), (science and Information Organization). All rights reserved.

关键词： Emotion Recognition

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A Comparative Analysis of User Experience and Educational Outcomes in Math Memory Games

A Comparative Analysis of User Experience and Educational Ou...

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2024 International Conference on computer Engineering, Network and Intelligent Multimedia, CENIM 2024

作者： Martin, Nicholas Nathanael, Raffel Jeriyanto, Doni Hermawan, Eric Savero Fung, Janshen Panggabean, Francisco Maruli School of Computer Science Bina Nusantara University Game Application & Technology Program Computer Science Department Jakarta Indonesia Master of Computer Science Binus Graduate Program Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9798350368802

This research explores multiple varieties of effective and child-friendly learning approaches for mathematics and memorization among young children in today's increasingly digital age considering their specific developmental needs. This type of approach includes in-person teaching, engaging online videos, interactive textbooks, and innovative educational games. This research employs a detailed comparative analysis, considering both 'User Experience' and measurable learning outcome factors, and spans a range of age groups from preschoolers to elementary school children. Through highlighting the strengths and weaknesses of each method, this research aims to inspire the adoption of efficient, child-centric, and novel teaching techniques by educators and institutions, thereby advancing the quality of education in Indonesia. The results show that using serious game in education presents high usefulness score alongside positive user experience, suggesting its viability for educational purposes. © 2024 IEEE.

关键词： Contrastive Learning

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Score Calculation with Local and Global Features for Visual Place Recognition

Score Calculation with Local and Global Features for Visual ...

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2024 IEEE Region 10 Conference, TENCON 2024

作者： Ikeda, Iori Adachi, Miho Miyamoto, Ryusuke Graduate School of Science and Technology Department of Computer Science Japan School of Science and Technology Meiji University Department of Computer Science Kawasaki Japan

ISBN: (纸本)9798350350821

Visual place recognition (VPR) seems effective for the localization process in visual navigation of a robot because a robot can recognize locations and poses using only visual information if the accuracy of VPR is sufficient. However, to apply VPR for actual scenarios where multiple locations to be distinguished are in a captured image, the classification accuracy should be improved. To solve this problem, we propose a novel method for likelihood computation in location matching composed of two kinds of components corresponding to local and global features. Experimental results using a novel dataset composed of actual images taken around the course of the Tsukuba Challenge showed that the proposed method improved accuracy by 1-6 % compared to conventional reranking methods using only local features. © 2024 IEEE.

关键词： Machine vision

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