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Biomedical Imaging and Sensing Conference 2023

作者： Kikuchi, K. Katsuyama, M. Shibata, T. Hardeberg, J.Y. Yuasa, T. Aizu, Y. Shiseido Co. Ltd. MIRAI Technology Institute 1-2-11 Takashima Nishiku Yokohama220-0011 Japan Department of Computer Science Faculty of Information Technology and Electrical Engineering Norwegian University of Science and Technology Teknologivegen 22 Gjøvik2815 Norway Division of Production Systems Engineering Muroran Institute of Technology 27-1 Mizumoto Muroran Hokkaido050-8585 Japan

ISBN: (纸本)9781510663435

We have developed a system that separates and measures the optical properties of skin, i.e., the surface reflection, diffuse reflection, and sub-surface scattering components of the skin. This system includes two polarization filters that separate light from the skin into a surface reflection component image and a diffuse reflection component image. Furthermore, by using a projector as a light source and irradiating the skin using a high-frequency binary illumination pattern, the subsurface scattering component image alone can be separated and generated. Using the proposed system, we performed a survey of 154 Japanese women aged from their 20s to their 70s and analyzed age-related changes in the optical properties of their skin. The results revealed the following. First, the luminance value Y of the surface reflection from the cheek and its standard deviation within the analysis area increase with age. Second, the Y value of diffuse reflection from the skin decreases with age. Third, the amount of light in the sub-surface scattering components also decreases with age. The proposed system is expected to have a wide range of applications in the medical and cosmetic fields. © 2023 SPIE.

关键词： Surface scattering

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Temporal Multiplexing of Heralded Photons Based on Thin Film Lithium Niobate Photonics

Temporal Multiplexing of Heralded Photons Based on Thin Film...

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CLEO: Fundamental Science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Ekici, Cagin Yu, Yonghe Adcock, Jeremy C. Muthali, Alif Laila Zahidy, Mujtaba Tan, Heyun Lin, Zhongjin Li, Hao Oxenløwe, Leif K. Cai, Xinlun Ding, Yunhong Department of Electrical and Photonics Engineering Technical University of Denmark Lyngby Denmark State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information Technology Sun Yat-sen University Guangzhou510275 China Department of Electrical and Computer Engineering The University of British Columbia VancouverBCV6T 1Z4 Canada

Heralded photons from a silicon source are temporally multiplexed utilizing thin film lithium niobate photonics. The time-multiplexed source, operating at a rate of R = 62.2 MHz, enhances single photon probability by ... 详细信息

ISBN: (纸本)9781957171395

关键词： Silicon photonics

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LIAS: A Lightweight Incentive Authentication Scheme for Forensic Services in IoV

LIAS: A Lightweight Incentive Authentication Scheme for Fore...

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作者： Zhang, Mingyue Zhou, Junlong Cong, Peijin Zhang, Gongxuan Zhuo, Cheng Hu, Shiyan Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing210094 China Institute of Computing Technology Chinese Academy of Sciences State Key Laboratory of Computer Architecture Beijing100190 China Zhejiang University Department of Information Science and Electronic Engineering Hangzhou310027 China University of Southampton School of Electronics and Computer Science SouthamptonSO17 1BJ United Kingdom

Internet of Vehicles (IoV) has become an indispensable data sensing and processing platform in Internet of Things (IoT) for intelligent transportation. The mounted cameras on the vehicles along with the fixed roadside cameras are utilized to provide pictorial services for IoV users and law enforcement agencies. For such forensic services, ensuring the security and privacy of vehicles while guaranteeing the efficiency of data transmission among vehicles is important. In this paper, we propose a lightweight incentive authentication scheme (LIAS) for forensic services in IoV. LIAS is developed on a three-tier architecture containing cloud layer, fog layer, and user layer. LIAS uses pairing-free certificateless signcryption, pseudonym update mechanism, and incentive mechanism to realize a secure anonymous authentication efficiently. We conduct correctness and security analysis, as well as performance analysis and evaluation to validate the high security and efficiency of LIAS. Experimental results reveal that, the communication and computation overheads as well as the message delay and packet loss of LIAS are much lower than those of state-of-the-art techniques. Note to Practitioners - This paper is motivated by the security and privacy issues of forensic services in IoV for intelligent transportation. Our goal is to improve the security and privacy of vehicles while guaranteeing the lightweight and incentive of data transmission among the vehicles. Fog-assisted IoV is introduced to fully utilize the capacities of near-user edge devices as well as the connections between fog nodes and devices. However, it still faces the difficulties in ensuring vehicles' security and privacy. Moreover, vehicles' information dissemination could be easily monitored because of the unavoidable defect of wireless communication. Thereby, it is essential to guarantee the security and privacy of vehicles while enhancing the efficiency of vehicles' data transmission during the forensic service.

关键词： Authentication

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A Method to Classify Emotions Based on BERT 4

A Method to Classify Emotions Based on BERT

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4th International Signal Processing, Communications and engineering Management Conference, ISPCEM 2024

作者： Chen, Zeli Lin, Jian Jiang, Jie Jing, Di Department of Computer Science Lafayette College EastonPA United States School of Information Technology and Artificial Intelligence Zhejiang University of Finance and Economics Zhejiang Hangzhou China Department of Mathematical and Statistical Sciences University of Alberta EdmontonABT6G 2G1 Canada School of Computer Science and Communication Engineering Jiangsu University Zhenjiang China

ISBN: (纸本)9798331528676

Nowadays, as science and technology continue to advance, addressing people's emotional issues is of particular significance, and how to accurately and efficiently recognize emotions has become increasingly prominent. We explores sentiment recognition and classification methods, including rule-based approaches, traditional machine learning models, deep learning models, and multi-modal sentiment analysis. Through comparative analysis, we will evaluate the effectiveness of these methods in handling social media texts. Additionally, we has developed a BERT-based two-stage model that first determines sentiment polarity (positive or negative) and then performs detailed classification of negative emotions. This two-stage model significantly improves accuracy and detail recognition compared to traditional one-stage models and other baseline methods. The results show that our approach not only enhances sentiment analysis accuracy but also provides deeper insights into the emotional subtleties of social media texts. This advancement holds significant practical implications for real-time sentiment monitoring and more effective crisis management strategies. ©2024 IEEE.

关键词： Contrastive Learning

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Total Harmonics Distortion Prediction at the Point of Common Coupling of industrial load with the grid using Artificial Neural Network

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Energy and AI 2023年第4期14卷 294-303页

作者： Emenike Ugwuagbo Adeola Balogun Biplob Ray Adnan Anwar Chikodili Ugwuishiwu Centre for Space Transport and Propulsion (CSTP)Epe1 LASU Epe driveLagos106101Nigeria Department of Electrical&Electronics Engineering University of LagosAkoka101017LagosNigeria Centre for Intelligent Systems(CIS) School of Engineering and TechnologyCQ UniversityNorman Gardens4701RockhamptonAustralia Strategic Centre for Cyber Security Research Institute(CSRI) School of Information TechnologyDeakin UniversityGeelong3216MelbourneAustralia Department of Computer Science University of NigeriaNsukka410001EnuguNigeria

Power quality challenges have generated a lot of disputes between utilities,customers,network operators,and equipment manufacturers around the world as regards the share of responsibility for power quality solutions,this results in different levels of financial and technical losses for both the network operators and the *** of the major consequences of the operation of heavy-duty factories globally is the corruption of power quality at the point of common coupling(PCC).In order to quantify the harmonics contribution at the PCC by industrial consumers,this paper presents three-phase total harmonics distortion of current(THDi)prediction model at the *** proposed artificial neural network(ANN)models use a multilayer perceptron neural network(MLPN)to predict three-phase total harmonic *** input parameter used in the models is easily measured with basic power *** model was trained with input parameters captured at 33 kV and 132 kV voltage levels using power quality meters at five(5)different steel manufacturing ***(8)different models were designed,trained,validated,and tested with different combinations of input parameters,number of hidden layers,and number of neurons in the hidden *** results show that the model with two hidden layers which uses four major power parameters(Current,apparent power,reactive and active power)as input parameters in the training model had the best performance with a 95.5%coefficient of correlation between the measured THDi and the predicted THDi.

关键词： Total harmonics distortion(THD) Power quality(PQ) Artificial neural network(ANN)

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A Double Protecting Approach for Data Privacy 10

A Double Protecting Approach for Data Privacy

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17th INDIACom;2023 10th International Conference on Computing for Sustainable Global Development, INDIACom 2023

作者： Almutairi, Mishaal M. Apostolopoulou, Dimitra Stupples, David Sen, Adnan Ahmed Abi Yamin, Mohammad Halikias, George School of Mathematics Computer Science and Engineering Department of Electrical and Electronic Engineering LondonEC1V 0HB United Kingdom Deanship of Information Technology Islamic University Madinah Saudi Arabia School of Computing The Australian National University Canberra Australia

ISBN: (纸本)9789380544472

Hackers have become more vigilant and malicious. Thus, cases of direct threats and blackmail, which lead to hacking and theft of users' data, have increased over the years. As such, it is necessary to build effective privacy protection methods and techniques that can guarantee users' data privacy even in the presence of a malicious attacker or an unreliable service provider. In this view, this study proposes a double approach for protecting users' data in a crowd. The study uses a systematic literature review method to identify technologies that have been advanced to ensure data privacy. These technologies include encryption, data mining techniques, obfuscation, dummies, and TTP. Unfortunately, all these methods have significant weaknesses that hinder them from effectively achieving data security and protection. As such, the current study proposes a new approach to privacy that can enhance the effectiveness of existing methods without impacting their performance. This approach also supports complex systems such as those used in crowd management and a wide variety of applications within these systems. Ideally, the double-approach method proposed in this study is a collection of various technologies that rely on two primary conditions: doubling the work of traditional data protection methods and using fog computing to enhance the efficiency and overall performance of these methods. This way, the new approach will effectively serve different complex systems and applications used in crowd management. © 2023 Bharati Vidyapeeth, New Delhi.

关键词： Personal computing

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Energy-Aware Sensor Scheduling and Opportunistic Transmission for State Estimation in Industrial IoT Systems

Energy-Aware Sensor Scheduling and Opportunistic Transmissio...

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2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

作者： Qiao, Zexin Lyu, Ling Dai, Yanpeng Cheng, Nan Shen, Xuemin Dalian Maritime University School of Information Science and Technology Dalian116026 China Xidian University School of Telecommunications Engineering Xi'an710071 China University of Waterloo Department of Electrical and Computer Engineering WaterlooONN2L 3G1 Canada

ISBN: (纸本)9798350345384

The wide application of Internet of Things (IoT) technology in industrial automation promotes the emergence of industrial IoT systems, where state estimation plays a critical role in accurately tracking the state of control system and enabling informed decisions and appropriate actions. State estimation is generally performed with the sensory data delivered over IoT. Therefore, the transmission performance of sensory data plays a crucial role in the accuracy of state estimation. However, it is challenging to ensure the required transmission reliability for state estimation due to spectrum scarcity, energy limitation, and the harsh industrial radio environment. To address this issue, we propose an energy-aware sensor scheduling and opportunistic transmission scheme to balance the estimation performance and resource consumption. In particular, we define a novel performance metric, estimation error ratio, to evaluate the impact of sensor scheduling on estimation performance. Then, a spectrum and energy resources constrained minimization problem is formulated to reduce the weighted sum of estimation error and energy consumption. In order to effectively solve the non-convex problem, an estimation error ratio-based algorithm is designed to determine the scheduled sensors. Moreover, we propose an iterative method to obtain the near-optimal solution for the opportunistic transmission problem. Finally, simulation results demonstrate that the proposed scheme can effectively reduce energy consumption with the estimation accuracy guarantee. © 2023 IEEE.

关键词： Energy utilization

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Data science for oceanography:from small data to big data

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Big Earth Data 2022年第2期6卷 236-250页

作者： Chengcheng Qian Baoxiang Huang Xueqing Yang Ge Chen Department of Information and Files North China Sea Marine Forecasting Center of State Oceanic AdministrationQingdaoChina College of Computer Science and Technology Qingdao UniversityQingdaoChina Marine Division 1 Piesat Information Technology Co.LtdBeijingChina College of Information Science and Engineering Ocean University of ChinaQingdaoChina Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and TechnologyQingdaoChina

The rapid development of ocean observation technology has resulted in the accumulation of a large amount of data and this is pushing ocean science towards being *** on the types and distribution of oceanographic data,this paper analyzes the present and makes predictions for the future regarding the use of big and small data in ocean *** ocean science has not fully entered the era of big *** are two ways to expand the amount of oceanographic data to better understanding and man-agement of the *** the data level,fully exploit the potential value of big and small ocean data,and transform the limited,small data into rich,big data,will help to achieve *** the application level,oceanographic data are of great value if realize the federation of the core data owners and the *** oceanographic data will provide not only a reliable scientific basis for climate,ecological,disaster and other scientific research,but also provide an unprecedented rich source of information that can be used to make predictions of the future.

关键词： Ocean science data big data small data

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Improving the learning performance by exploiting multimedia in eXtreme apprenticeship

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Multimedia Tools and Applications 2024年 1-25页

作者： Persia, Fabio D’Auria, Daniela Ge, Mouzhi Pilato, Giovanni Department of Information Engineering Computer Science and Mathematics University of L’Aquila Via Vetoio L’Aquila67100 Italy Faculty of Computer Science Free University of Bozen-Bolzano Piazza Domenicani 3 Bozen-Bolzano39100 Italy Faculty of European Campus Rottal-Inn Deggendorf Institute of Technology Dieter-Görlitz-Platz 1 Deggendorf94469 Germany Institute for High Performance Computing and Networking National Research Council of Italy Via Ugo La Malfa 153 Palermo90146 Italy

From prior studies on eXtreme Apprenticeship (XA), it can be seen that XA has emerged as an innovative and effective educational approach. The technology in computer science evolves rapidly and XA tackles the gap between University education and industry development. Additionally, distance learning by multimedia is more and more important, sometimes even becoming necessary. As a result, this paper intends to study how to integrate XA and multimedia to improve the learning performance in computer science, with particular reference to the programming courses. Since computer science is mostly driven by the new applications, XA and multimedia are considered to be effective and efficient to reduce the cognitive efforts by practical demonstration. The experimental results, based on the case study of the operating systems course at the Bachelor’s level, show that exploiting multimedia in XA can significantly improve the learning performance in terms of grade distributions, reliability, knowledge transfer and student satisfaction with respect to more traditional approaches based on frontal lectures. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Distance education

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A Flexible-Substrate 5-µm-Diameter Needle Electrode: Minimizing Neuronal Death and Enabling Year-Long Neural Recording

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Advanced Materials Interfaces 2025年第0期

作者： Sasaki, Hinata Yamashita, Koji Shimizu, Sayaki Sakamoto, Kensei Numano, Rika Koida, Kowa Kawano, Takeshi Department of Electrical and Electronic Information Engineering Toyohashi University of Technology 1-1 Hibarigaoka Tempaku-cho Toyohashi441-8580 Japan Toyohashi University of Technology 1-1 Hibarigaoka Tempaku-cho Toyohashi441-8580 Japan Department of Applied Chemistry and Life Science Toyohashi University of Technology 1-1 Hibarigaoka Tempaku-cho Toyohashi441-8580 Japan Department of Computer Science and Engineering Toyohashi University of Technology 1-1 Hibarigaoka Tempaku-cho Toyohashi441-8580 Japan

Long-term quantitative observations of the physiological state of the brain are essential technologies in various fields. In vivo electrophysiology with microelectrodes enables high spatiotemporal recordings of neuronal activities;however, tissue damage occurs due to electrode penetration, which limits the recording period. A neural recording technology is introduced that uses a 5-µm-diameter microneedle electrode device. The electrode implanted in the mouse cortex shows in vivo recording capabilities 1 day after implantation, which exceeds the year-long duration. The electrode does not significantly increase neuronal death compare with tissue without electrode implantation. A noise-reduced recording configuration is also demonstrated for the microneedle electrode, which enhances the recording performance for freely moving animals. © 2025 The Author(s). Advanced Materials Interfaces published by Wiley-VCH GmbH.

关键词： Needles

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