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14th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2023

作者： Mahtani, Kumar Guerrero, Jose M. Beites, Luis F. Platero, Carlos A. Universidad Politécnica de Madrid Automation Electrical and Electronic Engineering and Industrial Informatics Dept. Madrid Spain Mondragon Unibertsitatea Electronics and Computer Science Dept. Arrasate-Mondragon Spain Universidad Politécnica de Madrid Automation Electrical and Electronic Engineering and Industrial Informatics Department Madrid Spain

ISBN: (纸本)9798350320770

Diesel-electric locomotives are equipped with one or more synchronous generators driven by diesel engines, that provide the necessary electrical energy for their operation. These generators are usually provided with some protection relays, depending on their rated power and their type of service. Standard stator-ground fault protection has a setting for rated conditions. In case of variable speed and voltage operation, the protection does not cover all the operation range of the machine. In addition, unwanted tripping may occur due to incorrect filtering of the third harmonic. In this paper, an auto-adaptative stator ground protection function is presented, for the operation of synchronous machines at variable voltage and frequency. A specific case study is tackled, focused on the main generators of a diesel-electric locomotive. Numerous simulations are carried out to verify the proposed protection method. The obtained results are promising, and they can be used in other synchronous machines operating at variable speed. © 2023 IEEE.

关键词： Stators

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Exploratory Study on User Experience (UX) of Public E-Procurement System in Malaysia: A Qualitative Approach 9

Exploratory Study on User Experience (UX) of Public E-Procur...

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9th International HCI and UX Conference in Indonesia, CHIuXiD 2023

作者： Mior Ibrahim, Emma Nuraihan Kusaini, Amiruddin Ismail, Juhaida Abu Hashim, Anis Hasliza Misron, Mudiana Mokhsin College of Computing Informatics and Mathematics Universiti Teknologi Mara Shah Alam Selangor Malaysia Mathematics and Computer Science University of Twente Hallenweg 15 Faculty of Electrical Engineering Netherlands

ISBN: (纸本)9798350304084

The public e-Procurement system in Malaysia is a crucial component of the e-Government services. Its primary function is to provide a platform for government agencies to efficiently procure goods and services from business users. The user experience (UX) of this e-Procurement system has emerged as a pivotal factor in the success of the broader e-Government digital transformation. Ensuring that the digitalization of the public e-Procurement system aligns with its objectives and delivers a top-tier Government Electronic Procurement System is imperative. This research aims to gain a comprehensive understanding of the UX issues and challenges faced by stakeholders when using the public e-Procurement system. The study employs a qualitative approach, delving into the perspectives and insights of e-Procurement system users. Data from interview sessions involving nine (9) participants have been meticulously interpreted, coded, and subjected to thematic analysis, revealing five distinct dimensions of issues and challenges: usability, performance, operational, quality, and user satisfaction. To address these identified concerns, we proposed several recommendations. Enhancements in system user interface (UI), navigational aspects, system features, performance, and operational aspects are essential to ensure sustained quality and user satisfaction within the e-Procurement system. The study also explores avenues for future work to further refine and augment these improvements. © 2023 IEEE.

关键词： User interfaces

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Computational Analysis of Backchannel Usage and Overlap Length in Autistic Children 1

Computational Analysis of Backchannel Usage and Overlap Leng...

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1st Workshop on Connecting Multiple Disciplines to AI Techniques in Interaction-Centric Autism Research and Diagnosis, ICARD 2023

作者： Lawley, Grace O. Heeman, Peter A. Bedrick, Steven Computer Science and Engineering Oregon Health & Science University PortlandOR United States Department of Medical Informatics and Clinical Epidemiology Oregon Health & Science University PortlandOR United States

Backchanneling (e.g., right, okay, uhhuh) during a dialogue signals that a person is engaged and following along with what is being said. Although backchannels often overlap with other utterances, they are not interpreted as an attempt to take the floor when used successfully. Limited work has been done on investigating the frequency and overlap length of backchannels in the language of Autistic children. After controlling for age, sex, and IQ, we found that Autistic children used significantly less backchannels than their Typically Developing (TD) peers. Additionally, we found that Autistic children were less likely than TD children to produce a backchannel with a greater overlap length. © 2023 Association for Computational Linguistics.

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Hyperparameter Optimization of 2D CNN LSTM for Natural Disaster Classification from Social Media Messages

Hyperparameter Optimization of 2D CNN LSTM for Natural Disas...

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computer Sciences, engineering, and Technology Innovation (ICoCSETI), International Conference on

作者： Maulana Ainur Rafiq Mohammad Reza Faisal Radityo Adi Nugroho Irwan Budiman Dodon Turianto Nugrahadi Mera Kartika Delimayanti Department of Computer Science Lambung Mangkurat University Banjarbaru Indonesia Computer and Informatics Engineering Department Politeknik Negeri Jakarta Depok Indonesia

ISBN: (数字)9798331508616

ISBN: (纸本)9798331508623

Social media plays a crucial role in providing information related to natural disasters, which can help accelerate the response to such events. Messages shared by social media users can offer valuable insights into natural disaster occurrences. The use of a 2D CNN model combined with LSTM has been applied in previous research for classifying natural disasters. Word embedding techniques such as Word2Vec, FastText, and GloVe have been utilized, but there are still limitations in the word representations used. This research aims to address these shortcomings by incorporating wikipedia text into the word embedding process, which is expected to enhance word representations. Additionally, the research also applies hyperparameter tuning using a grid search method to optimize the performance of the 2D CNN + LSTM model. The results obtained from this research show improved accuracy compared to previous research, with accuracy values reaching 83.55% for floods, 92.11% for forest fires, and 81.83% for earthquakes. These findings demonstrate that the inclusion of wikipedia text in word embedding and the optimization of the 2D CNN + LSTM model through hyperparameter tuning with grid search significantly improve the model’s accuracy.

关键词： Accuracy Social networking (online) Disasters Encyclopedias Forestry Internet Online services Tuning Long short term memory Optimization

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DataJudge: Cross-Chain Data Consistency Verification Based on Extended Merkle Hash Tree 24th

DataJudge: Cross-Chain Data Consistency Verification Based o...

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24th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024

作者： Xu, Yuwei Zeng, Junyu Cao, Jie Dai, Shengjiang Xiang, Qiao Cheng, Guang School of Cyber Science and Engineering Southeast University Nanjing China Purple Mountain Laboratories for Network and Communication Security Nanjing China Engineering Research Center of Blockchain Application Supervision and Management Nanjing China Department of Electrical and Computer Engineering Queen’s University Kingston Canada School of Informatics Xiamen University Xiamen China

ISBN: (纸本)9789819615414

Consortium blockchains, with their decentralized characteristics, have found widespread applications across various industries. However, this also forms isolated data islands. These data islands have become obstacles to data sharing between industries, and the issue of cross-chain data consistency verification remains unresolved. Current mainstream cross-chain technologies solve asset transfer issues through complex transaction steps, thus failing to meet the need for efficient data transmission. Existing research has proposed solutions for cross-chain data consistency verification, but two major issues remain. Firstly, these schemes do not consider data changes or support data dynamic operations. Secondly, these schemes involve a significant amount of complex computations, leading to slow efficiency. To address the above issues, we propose DataJudge, a cross-chain data consistency verification scheme based on an extended Merkle hash tree. This scheme not only verifies cross-chain data consistency but also effectively fills the gap in existing schemes regarding dynamic operations. Additionally, we modify the paillier homomorphic encryption. To improve efficiency, we do not introduce many complex computations. Furthermore, the extended Merkle hash tree structure enhances efficiency. Finally, we implement a prototype system and evaluate it. The results demonstrate that DataJudge can effectively verify cross-chain data consistency and outperform existing schemes such as DCIV and BeDCV. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Data consistency

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A Deep Learning Driven Feature Based Steganalysis Approach

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Intelligent Automation & Soft Computing 2023年第8期37卷 2213-2225页

作者： Yuchen Li Baohong Ling Donghui Hu Shuli Zheng Guoan Zhang College of Computer Science and Information Engineering Hefei University of TechnologyHefei230009China College of Information Engineering Anhui Broadcasting Movie and Television CollegeHefei230011China Department of Informatics Faculty of Natural&Mathematical SciencesKing’s College LondonLondonWC2R2LSUK

The goal of steganalysis is to detect whether the cover carries the secret information which is embedded by steganographic *** traditional ste-ganalysis detector is trained on the stego images created by a certain type of ste-ganographic algorithm,whose detection performance drops rapidly when it is applied to detect another type of steganographic *** phenomenon is called as steganographic algorithm mismatch in *** resolve this pro-blem,we propose a deep learning driven feature-based *** advanced steganalysis neural network is used to extract steganographic features,different pairs of training images embedded with steganographic algorithms can obtain diverse features of each *** a multi-classiﬁer implemented as lightgbm is used to predict the matching *** results on four types of JPEG steganographic algorithms prove that the proposed method can improve the detection accuracy in the scenario of steganographic algorithm mismatch.

关键词： Image steganalysis algorithm mismatch convolutional neural network JPEG images

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Identification Important Nodes in Diffusion Process by User Experience on Social Network 28

Identification Important Nodes in Diffusion Process by User ...

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28th International computer Conference, computer Society of Iran, CSICC 2023

作者： Kazemzadeh, Farzaneh Safaei, Ali Asghar Mirzarezaee, Mitra Islamic Azad University Department of Computer Engineering Science and Research Branch Tehran Iran Tarbiat Modares University Faculty of Medical Sciences Department of Medical Informatics Tehran Iran

ISBN: (纸本)9798350338195

The influence maximization problem (IMP) has been proposed in social networks. Nowadays, it is considered an important and practical problem due to the earnings potential by identifying a set of influential nodes, and therefore, it has been attracted by many researchers. This problem seeks to identify a set with K nodes among the social network nodes to maximize the influence and diffusion of information in that community. Algorithms proposed by other researchers have many shortcomings in terms of accuracy and run time of the algorithm. Hence, this article aimed to find the best, most accurate, and fastest solution to the *** article presented the UXM algorithm and used the User Experience criterion for the first time to solve this problem. At first, taking into account the reach club phenomenon and using criteria such as clustering coefficient, degree and also using user experience, nodes with more influence have been selected as the primary candidate set. Then, according to the component nodes, K final influential nodes have been selected. In this way, it could identify the set of nodes as accurately as possible with high efficiency in the shortest possible time. The evaluation of this algorithm and its comparison with other algorithms indicated excellent results in terms of run time and accuracy in selecting the set of nodes by the proposed algorithm. © 2023 IEEE.

关键词： Solvents

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Respiration and heartbeat rates estimation using IR-UWB non-contact radar sensor recordings: A pre-clinical study

Respiration and heartbeat rates estimation using IR-UWB non-...

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2023 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2023

作者： Pentari, Anastasia Manousos, Dimitrios Kassiotis, Thomas Rigas, George Tsiknakis, Manolis CreteGR-700 13 Greece PD Neurotechnology Ltd. Ioannina Greece Biomedical Informatics and eHealth Department of Electrical and Computer Engineering Hellenic Mediterranean University Greece

Sleep study is of major importance for the assessment of sleep apneas, sleep stages or the diagnosis of sleep disorders. Although there exists a variety of tools for the evaluation of sleep, including the gold standard polysomnography (PSG) or high-tech wearable devices, the last decade there is also an increasing interest in the use of ultra wide-band (UWB) radar sensors for non-contact medical studies. The objective of this study is to develop a pre-clinical environment for the measurement of two important vital signs of the human functions, i.e., the respiratory and heartbeat rates, through UWB radar recordings of chest motion. For this purpose, at first we composed a simulating chest and heart motion architecture which represents these two basic body functions in parallel. After that, with the employment of a UWB-radar, we performed extensive recordings of simulator's displacements, and we concluded to the mathematical estimation of the respiratory and heartbeat rates, compared to the initial frequencies given to the simulated procedure. Our experimental results prove that we can estimate both rates in an accurate manner and even if these pre-clinical tests are made under ideal conditions, the UWB-radar can further be used for clinical assessment, with promising perspectives. © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings (http://***)

关键词： Diagnosis

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Prediction of the Effect of Electrical Defibrillation Based on the Wavelet Transform with Pseudo-Differential Operators 5

Prediction of the Effect of Electrical Defibrillation Based ...

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5th International Conference on Electrical, Control and Instrumentation engineering, ICECIE 2023

作者： Yoshikawa, Yuta Okai, Takayuki Oya, Hidetoshi Hoshi, Yoshikatsu Nakano, Kazushi Tokyo City University Graduate School of Integrative Science and Engineering Tokyo Japan Tokyo City University Department of Computer Science Tokyo Japan The University of Electro-Communications Graduate School of Informatics and Engineering Tokyo Japan

ISBN: (纸本)9798350325041

This paper proposes a prediction system of the effect of electrical defibrillation based on the wavelet transform with pseudo-differential operators. To construct this system first, we analyze and extract features from pre-shock (before defibrillation) ECGs (ElectroCardioGrams) by using Gabor wavelet transform with pseudo-differential operators. Next, the effective feature parameters are selected based on the ?2 test. Finally, this system predicts two states such as "Effective"and "Ineffective"defibrillation by using the SVM (Support Vector Machine). In this way, we show the effectiveness of the proposed feature extraction method and prediction system. © 2023 IEEE.

关键词： Wavelet transforms

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3D Virtual Reality Application with Design Approach for Introduction of Istano Basa Pagaruyung Tourist Attractions 23

3D Virtual Reality Application with Design Approach for Intr...

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11th International Conference on computer and Communications Management, ICCCM 2023

作者： Adrian, Qadhli Jafar Hidayat, Robby Rahmat Pasha, Donaya Maharini, Anggita Septia Lubis, Muharman Lubis, Arif Ridho Department of Information System Universitas Teknokrat Indonesia Indonesia Department of Information Technology Universitas Teknokrat Indonesia Indonesia Department of Computer Engineering and Informatics Politeknik Negeri Medan Indonesia

ISBN: (纸本)9798400707735

This research is about the development of proper media for the tourist attraction, which in this case related to the Istano Basa Pagaruyung in order to increase the engagement during Covid-19 pandemic, which is the Android-based. It aims to produce interactivity and innovation product service by using Virtual Reality (VR) technology through design approach method as cognitive and practical process. For the purpose of testing, there are three aspects that were evaluated namely the functional conformity, the usability and the portability. In the first aspect, the results indicated almost 100% successful presentation, while the usability aspect provide the presentation value of 86.7% and the last aspects show zero errors result. Thus, it can conclude that the application can be one alternative solution to promote tourist attraction in the midst of the Covid-19 pandemic in term of marketing or learning mechanism. It also presents the useful practice on the utilization of design approach that can be aligned with multimedia development life cycle (MDLC) to have non-linear and iterative process in order to redefine the problem for designing the alternative solution © 2023 ACM.

关键词： Virtual reality

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