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Classification using a Spiking Neural Network: A Review

IEIE Transactions on Smart Processing and Computing 2023年第1期12卷 64-71页

作者： Park, Yuntae Sunarya, Unang Yang, Geunbo Lee, Choongseop Baek, Jaewoo Baek, Suwhan Park, Cheolsoo Department of Computer Engineering KwangWoon University Korea Republic of School of Applied Science Telkom University Bandung Indonesia

In this paper, different types of spiking neural network (SNN) and the methods to teach them are addressed. The spiking neural network is especially designed in a biologically plausible way. Like other neural networks, SNNs trained with certain learning methods have been used for image processing, data mining, and classification, etc. Unlike other neural networks, the SNN uses one-bit spike information, and one of its main advantages is reducing energy consumption. Copyrights © 2023 The Institute of Electronics and Information Engineers.

关键词： Neural networks

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Developing Smart Skin: A Force Sensor-Based Touch and Pressure Detector 12

Developing Smart Skin: A Force Sensor-Based Touch and Pressu...

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12th International Conference on Information and Communication Technology, ICoICT 2024

作者： Zain, Muhammad Aulia Rifqi Mutiara, Giva Andriana Periyadi Alfarisi, Muhammad Rizqy Sitorus, Angelica Adhira, Raka Duta Applied Science School Computer Technology Telkom University Bandung Indonesia Applied Science School Multimedia Engineering Telkom University Bandung Indonesia

ISBN: (纸本)9798350363432

This research discusses the advancements in developing smart skin by employing Force Sensitive Resistor (FSR). The objective of this research is to advance research on the fundamental concept of artificial skin that relies on the human sense of touch sensors especially in pressure to imitate the sensory capabilities of human skin, since humans are incapable of accurately quantifying the pain induced by external pressure. Therefore, by employing FSR sensors, the acquired data will be stabilized, thereby serving as a dependable reference. A prototyping method is implemented in this research to construct and observe the smart skin design. This research is utilized RP-S40-ST and FS7548 sensors for gathering data pressure and touch. The smart skin is coated with an elastomeric substance that closely resembles human skin in terms of its flexibility, softness, and mechanical properties. The FSR sensor is linked to a microcontroller board called TTGO LoRa OLED, which enables the integration of data transfer for further development through the Long Range (LoRa) protocol. The AMF-500 force gauge functions as a standard for converting data obtained from analog sensors into precise force (N) and pressure measurements (kPa). This research represents a significant step towards developing smart skin using FSR sensors that aim to mimic human touch by detecting external pressure up to a maximum of under 60 Newtons and a maximum bend of under 90 degrees. © 2024 IEEE.

关键词： Contact sensors

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Behaviour recognition based on the integration of multigranular motion features in the Internet of Things

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Digital Communications and Networks 2024年第3期10卷 666-675页

作者： Lizong Zhang Yiming Wang Ke Yan Yi Su Nawaf Alharbe Shuxin Feng School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu611731China Beijing Institute of Remote Sensing Equipment Beijing100039China Applied College Taibah UniversityMedina42353Saudi Arabia

With the adoption of cutting-edge communication technologies such as 5G/6G systems and the extensive development of devices,crowdsensing systems in the Internet of Things(IoT)are now conducting complicated video analysis tasks such as behaviour *** applications have dramatically increased the diversity of IoT ***,behaviour recognition in videos usually requires a combinatorial analysis of the spatial information about objects and information about their dynamic actions in the temporal *** recognition may even rely more on the modeling of temporal information containing short-range and long-range motions,in contrast to computer vision tasks involving images that focus on understanding spatial ***,current solutions fail to jointly and comprehensively analyse short-range motions between adjacent frames and long-range temporal aggregations at large scales in *** this paper,we propose a novel behaviour recognition method based on the integration of multigranular(IMG)motion features,which can provide support for deploying video analysis in multimedia IoT crowdsensing *** particular,we achieve reliable motion information modeling by integrating a channel attention-based short-term motion feature enhancement module(CSEM)and a cascaded long-term motion feature integration module(CLIM).We evaluate our model on several action recognition benchmarks,such as HMDB51,Something-Something and *** experimental results demonstrate that our approach outperforms the previous state-of-the-art methods,which confirms its effective-ness and efficiency.

关键词： Behaviour recognition Motion features Attention mechanism Internet of things Crowdsensing

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Synergizing Collaborative and Content-Based Filtering for Enhanced Movie Recommendations 3rd

Synergizing Collaborative and Content-Based Filtering for En...

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3rd International Conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Walia, Madhav Raj, Shivanshu Aishwary, M. Lakshmi, T. Jaya Department of Computer Science and Engineering School of Engineering and Applied Sciences SRM University Andhra Pradesh Guntur India

ISBN: (纸本)9789819743582

This study combined content-based and collaborative filtering algorithms to create an all-inclusive movie recommendation system. In order to find trends and provide suggestions based on the tastes of comparable users, collaborative filtering analyzes user–item interaction data. Movie qualities are evaluated using content-based filtering in order to suggest related products. Preprocessing techniques like data cleansing, filtering, and text processing are used in the implementation to extract pertinent information and textual elements. While the textual characteristics are converted into numerical representations using methods like literal_eval and CountVectorizer, the metadata contains information on genres, release dates, cast, crew, and keywords. Using the vectorized characteristics of two videos, the cosine similarity between them is computed. Techniques for collaborative and content-based filtering are used to deliver accurate and customized. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Collaborative filtering

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Augmented reality mobile application to improve learning in children with autism 18

Augmented reality mobile application to improve learning in ...

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18th International Multi-Conference on Society, Cybernetics and Informatics, IMSCI 2024

作者： Ruiz Cerna, Jimena Alexandra Angeles Lliuya, Paola Viviana Subauste, Daniel School of Computer and Systems Engineering Peruvian University of Applied Science Lima1500 Peru

ISBN: (纸本)9781950492800

Children with autism are mainly affected in their abilities in the areas of behavior, socialization, language and learning. In order to improve the latter, this article presents a mobile application with augmented reality, which seeks to complement the education that these children normally receive and which may not always be optimal. To achieve this goal, Vuforia was used, Augmented Reality technology that will allow the use of 3D models on mobile devices. At the same time, a web application was developed from which the children’s progress could be monitored and whose access corresponds to the specialists previously assigned to each case. The results obtained by meeting the levels of the application and the final comments of the children’s caregivers confirmed the improvement in learning. © 2024 by the International Institute of Informatics and Systemics. All rights reserved.

关键词： application asd augmented reality autism learning

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StoryScreen: a Traceability Visualisation Modelling Tool for User Stories and Conceptual Models 17

StoryScreen: a Traceability Visualisation Modelling Tool for...

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17th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling Forum, 1st International Workshop on Models for Simulation, M4S 2024, 2nd International Workshop on the Foundations and Applications of Capabilities in Enterprises, Transformations, and ESG Initiatives, FACETE 2024, Workshop on Advancing Enterprise Modelling through Digital Transformation, FAIR Data Management, and Blockchain Integration, AEM 2024, Tools and Demos, PoEM-Companion 2024

作者： Ruiz, Marcela Olgiati, Carlos Zurich University of Applied Sciences Institute of Computer Science School of Engineering Winterthur Switzerland

Requirements and conceptual model traceability is a core software engineering activity that supports decision-making during the entire software development life cycle. With traceability data sets growing, traceability visualisation techniques that properly communicate the relevant information are imperative to ensure quality, completeness, and transparency in enterprise models and information systems. We did a comparative analysis of various graphical visualisation techniques for conceptual model traceability such as graphical graphs, tabular forms, sunbursts, etc., The findings suggest that a one-size-fits-all solution does not exist because factors such as data structure, traceability purpose, and traceability-users' skills determine the level of detail, content, and type of traceability visualisation technique. As a proof of concept, this paper presents an approach towards a traceability visualization modelling tool named StoryScreen, which facilitates the visualisation of traces among user stories and conceptual models. StoryScreen allows users to identify missing traces and fix errors in conceptual models and user stories. StoryScreen provides a project management tool for user story-based projects, which includes various traceability visualisation techniques such as graphical graphs, tabular, and textual. We expect that StoryScreen will support traceability users in improving user stories and creating conceptual models employing traceability visualisations that are filterable and interactive. © 2024 Copyright for this paper by its authors.

关键词： Software design

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Design and beam dynamics study of a magnet system for an 11 MeV superconducting isochronous cyclotron

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Nuclear science and Techniques 2025年第6期36卷 56-65页

作者： Pan-Pan Zheng Xiang-Hui Wang Zi-Feng He Yue Wu Zhi-Min Dai Wei-Shi Wan School of Physical Science and Technology ShanghaiTech UniversityShanghai 201210China Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800China School of Computer Engineering Wefang UniversityWeifang 261061China

In recent years,due to the scarcity of domestic radioisotopes,the Chinese government has strongly supported the development of dedicated radioisotope production *** paper presents conceptual design simulations of an 11 MeV,50μA,H^(-) compact superconducting cyclotron for radioisotope *** paper focuses primarily on four aspects:magnet system design,central region configuration,beam dynamics analysis,and extraction system *** paper outlines the cyclotron's primary parameters and key steps in the development process.

关键词： Superconducting cyclotron magnet Beam dynamics Central region Stripping extraction

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Efficient Communication in Wireless Sensor Networks Using Optimized Energy Efficient Engroove Leach Clustering Protocol

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Tsinghua science and Technology 2024年第4期29卷 985-1001页

作者： N.Meenakshi Sultan Ahmad A.V.Prabu J.Nageswara Rao Nashwan Adnan Othman Hikmat A.M.Abdeljaber R.Sekar Jabeen Nazeer SRM Institute of Science and Technology KattankulathurChennai 603203India Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharj 11942Saudi Arabia University Center for Research and Development(UCRD) Department of Computer Science and EngineeringChandigarh UniversityGharuanMohali 140413India Department of ECE Koneru Lakshmaiah Education FoundationVaddeswaramGuntur 522502India Department of Computer Science and Engineering Lakireddy Balireddy College of Engineering(A)NTR District 521230India Department of Computer Engineering College of EngineeringKnowledge UniversityErbil 44001Iraq Department of Computer Science Faculty of Information TechnologyApplied Science Private UniversityAmman 11937Jordan Department of Electronics and Communication Engineering(ECE) School of EngineeringPresidency UniversityBangalore 834001India

The Wireless Sensor Network(WSN)is a network that is constructed in regions that are inaccessible to human *** widespread deployment of wireless micro sensors will make it possible to conduct accurate environmental monitoring for a use in both civil and military *** make use of these data to monitor and keep track of the physical data of the surrounding environment in order to ensure the sustainability of the *** data have to be picked up by the sensor,and then sent to the sink node where they may be *** nodes of the WSNs are powered by batteries,therefore they eventually run out of *** energy restriction has an effect on the network life span and environmental *** objective of this study is to further improve the Engroove Leach(EL)protocol’s energy efficiency so that the network can operate for a very long time while consuming the least amount of *** lifespan of WSNs is being extended often using clustering and routing *** Meta Inspired Hawks Fragment Optimization(MIHFO)system,which is based on passive clustering,is used in this study to do *** cluster head is chosen based on the nodes’residual energy,distance to neighbors,distance to base station,node degree,and node *** on distance,residual energy,and node degree,an algorithm known as Heuristic Wing Antfly Optimization(HWAFO)selects the optimum path between the cluster head and Base Station(BS).They examine the number of nodes that are active,their energy consumption,and the number of data packets that the BS *** overall experimentation is carried out under the MATLAB *** the analysis,it has been discovered that the suggested approach yields noticeably superior outcomes in terms of throughput,packet delivery and drop ratio,and average energy consumption.

关键词： wireless sensor networks energy efficient engroove leach protocol meta inspired Hawks fragment optimization heuristic wing antfly optimization

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An Empirical Study of Image based Steganography and Watermarking

An Empirical Study of Image based Steganography and Watermar...

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2024 International Conference on Knowledge engineering and Communication Systems, ICKECS 2024

作者： Padma, R. Yendapalli, Vamsidhar Jyothi, A.P. Gitam University Computer Science and Engineering Gitam School of Technology Bengaluru India Ramaiah University of Applied Sciences Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350359688

In the current technological landscape, the transmis-sion of data through communication channels has experienced significant advancements. The rapid growth in communication technology has brought about improved outcomes. However, challenges arise in ensuring the security and integrity of the transmitted data. It becomes crucial to safeguard from unauthorized access or users without proper authorization, it is important to implement various security parameters and best practices. This need has led to the development of various data hiding techniques. The objective of this paper is to conduct a comprehensive study on the taxonomy of Steganography and Watermarking types, as well as the taxonomy of techniques employed in Steganography and Watermarking. The paper aims to provide an overview and classification of different types of Steganography and Watermarking techniques. It also focuseson analyzing the advantages and disadvantages associated with these *** examining the taxonomy and assessing the pros and cons of Steganography and Watermarking techniques, this paper aims to contribute to a better understanding of their applications and implications in data security. The findings of this study can serve as a valuable resource for researchers and practitioners working in the field of data hiding and information security. © 2024 IEEE.

关键词： Discrete Fourier transforms

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Ensuring Zero Trust IoT Data Privacy: Differential Privacy in Blockchain using Federated Learning

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IEEE Transactions on Consumer Electronics 2024年第1期71卷 1-1页

作者： Hussain, Altaf Akbar, Wajahat Hussain, Tariq Bashir, Ali Kashif Dabel, Maryam M. Al Ali, Farman Yang, Bailin School of Electronic and Control Engineering Chang’an University Xi’an China School of Computer Science and Technology and School of Mathematics and Statistics Zhejiang Gongshang University Hangzhou China Department of Computing and Mathematics Manchester Metropolitan University UK Department of Computer Science and Engineering College of Computer Science and Engineering University of Hafr Al Batin Saudi Arabia Department of Applied AI School of Convergence College of Computing and Informatics Sungkyunkwan University Seoul South Korea

In the increasingly digitized world, the privacy and security of sensitive data shared via IoT devices are paramount. Traditional privacy-preserving methods like k-anonymity and ldiversity are becoming outdated due to technological advancements. In addition, data owners often worry about misuse and unauthorized access to their personal information. To address this, we propose a secure data-sharing framework that uses local differential privacy (LDP) within a permissioned blockchain, enhanced by federated learning (FL) in a zero-trust environment. To further protect sensitive data shared by IoT devices, we use the Interplanetary File System (IPFS) and cryptographic hash functions to create unique digital fingerprints for files. We mainly evaluate our system based on latency, throughput, privacy accuracy, and transaction efficiency, comparing the performance to a benchmark model. The experimental results show that the proposed system outperforms its counterpart in terms of latency, throughput, and transaction efficiency. The proposed model achieved a lower average latency of 4.0 seconds compared to the benchmark model’s 5.3 seconds. In terms of throughput, the proposed model achieved a higher throughput of 10.53 TPS (transactions per second) compared to the benchmark model’s 8 TPS. Furthermore, the proposed system achieves 85% accuracy, whereas the counterpart achieves only 49%. IEEE

关键词： Anonymity

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