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2023 IEEE Zooming Innovation in Consumer Technologies Conference, ZINC 2023

作者： Bencevic, Zvonimir Grbic, Ratko Jelic, Borna Vranjes, Mario TTTech Auto Central and Eastern Europe Osijek Croatia Computer Science and Information Technology Osijek Faculty of Electrical Engineering Osijek Croatia

ISBN: (纸本)9798350347722

To successfully train modern object detectors in a supervised manner, a large number of labeled images is usually required. Collecting and annotating images can be an expensive and time-consuming job, especially in the field of autonomous driving. A cheaper and faster alternative can be found in computer simulations of real-world traffic scenes, where the object of interest can be automatically labeled. In this spirit, a tool for automatic labeling of the images obtained from CARLA autonomous driving simulator is proposed. The tool runs in parallel with CARLA simulator and creates a synthetic dataset with annotations in the appropriate format for the following objects of interest: Traffic lights, traffic signs, vehicles, and pedestrians. The tool enables the end-user to generate a synthetic dataset with a desired number of images and with desired parameters such as weather condition, image resolution, and traffic density. In that way, large synthetic datasets can be generated in a short period of time. © 2023 IEEE.

关键词： Autonomous vehicles

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Ensemble Feature Selection for Multi-label Classification: A Rank Aggregation Method 1

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International Conference on Cyber Security, Privacy and Networking, ICSPN 2022

作者： Hashemi, Amin Dowlatshahi, Mohammad Bagher Rafsanjani, Marjan Kuchaki Hsu, Ching-Hsien Department of Computer Engineering Faculty of Engineering Lorestan University Khorramabad Iran Department of Computer Science Shahid Bahonar University of Kerman Kerman Iran College of Information and Electrical Engineering Asia University Taichung Taiwan

ISBN: (数字)9783031220180

ISBN: (纸本)9783031220173

Multi-label classification is an important task in machine learning applications. However, today, these methods have more challenges due to high-dimensional data. Existing methods in the literature have not yet reached an acceptable performance, and as the number of labels in the dataset increases, their performance becomes weaker. Thus providing effective feature selection methods is necessary and is suitable for all data. Ensemble feature selection is also a new approach based on combining the results of several feature selection methods. Ensemble approaches have been used in many single-label applications and have provided adequate results. However, this technique is less considered in multi-label feature selection. For this purpose, in this article, we have presented a method based on an ensemble of feature selection methods. This paper presents an ensemble multi-label feature method using rank aggregation algorithms. Three filter rankers with different structures are utilized to obtain the final ranking. This rank aggregation process is treated like an election where the rankers are assumed to be the voters, and the features are the alternatives. The Weighted Borda Count (WBC) method conducts the election process. Finally, the performance and results obtained by the proposed method are compared with the nine filter-based algorithms used based on six multi-label datasets. Most of the selected datasets have a high number of class labels, and the proposed method has recorded the best classification performance in all these datasets. Also, the results show that this method is not well affected by the adverse effects of the algorithms used. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Feature Selection

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KNX-ZigBee Gateway

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IFAC-PapersOnLine 2024年第9期58卷 85-90页

作者： Dominik Grzegorz David Vala VSB - Technical University of Ostrava Faculty of electrical engineering and computer science Department of cybernetics and biomedical engineering CZ

This work is about building automation. It deals with the implementation of the connection between KNX TP bus and ZigBee wireless technology. The connection focuses on the control of lighting end devices supporting th... 详细信息

关键词： ZigBee ZigBee Lighting IEEE 802.15.4 ISO/OSI KNX TP CC2652RB

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A Triple-mode Wideband Filtering Antenna with Planar Configuration by Combining One SIW cavity and Two Half-mode Patch Resonators

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IEEE Antennas and Wireless Propagation Letters 2025年第6期24卷 1512-1516页

作者： Liu, Qianwen Li, Chengyu Zhu, Lei Tang, Yiming Lu, Wen-Jun Lyu, Yun-Peng Huang, Feng Nanjing University of Posts and Telecommunications College of Telecommunications and Information Engineering Nanjing210003 China State Key Laboratory of Millimeter Waves Nanjing210003 China Nanjing University of Posts and Telecommunications College of Electronic and Optical Engineering Nanjing210023 China University of Macau Department of Electrical and Computer Engineering Faculty of Science and Technology China

In this letter, a triple-mode wideband filtering antenna with planar configuration is presented. The designed antenna has a single substrate layer, which consists of one half-mode circular patch resonator, one half-mode rectangular patch resonator, and one rectangular SIW cavity, and it is fed through the conventional coaxial probe. On the basis of the field analysis, these three types of resonators are compactly integrated without disturbing the resonant properties of their dominant modes. Given this, three resonant modes of half-TM11, half-TM10, and TE11 are well generated, so as to form a widened operating band. Meanwhile, four radiation nulls are produced from far-field radiation cancellation with the increased radiation boundaries. For validation, a prototype antenna with the center frequency of 2.8 GHz is designed and fabricated. The measured results indicate that the proposed antenna achieves an improved fractional bandwidth of 15.7% under three in-band resonances. Besides, four radiation nulls created at 2.32, 3.22, 3.49, and 3.89 GHz in stopband effectively enhance the out-of-band suppression level. Moreover, low profile of 0.037λ0 is also implemented. © 2002-2011 IEEE.

关键词： Microstrip antennas

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"UNLOCKING MEMORIES, REIGNITING JOY": A FEASIBILITY STUDY ON PERSONALIZED INTERACTIVE GAMES TO ENHANCE REMINISCENCE FOR PEOPLE WITH ALZHEIMER'S DISEASE 16

"UNLOCKING MEMORIES, REIGNITING JOY": A FEASIBILITY STUDY ON...

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16th International Conference on ICT, Society and Human Beings, ICT 2023, the 15th International Conference on e-Health, EH 2023, the 9th International Conference on Connected Smart Cities, CSC 2023 and 8th International Conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2023

作者： Hashim, Anis Hasliza Abu Ibrahim, Emma Nuraihan Mior Ismail, Marina Ismail, Juhaida Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands Shah Alam Malaysia Raub Branch Raub Malaysia

ISBN: (纸本)9789898704504

This paper discusses the significance of research focused on progressive dementia due to the pressing needs of an aging population. Technological solutions have been explored as useful tools to diagnose, manage and treat elderly patients with Alzheimer disease (AD). Interactive games have proven to be an effective therapeutic approach for individuals with AD, improving cognitive function and quality of life. An interactive game was incorporated in my-MOBAL app, a personalized digital memory book, was developed to enhance reminiscence and stimulate cognitive function in individuals with AD. A feasibility study was conducted with clinical experts, an elderly user, and caretakers to collect data via interview and direct observation. Qualitative data collected over 8 weeks showed that personalized interactive games tailored to specific user can promote a sense of familiarity and connection to identity, providing comfort and reducing disorientation in individuals with dementia. It also encouraged communication between the user and the caretakers. Incorporating personalized elements in the interactive games could help to promote autonomy and independence, which are crucial for maintaining self-identity in individuals with dementia. © ICT *** rights reserved.

关键词： Disease control

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Assessing the Effects of Blackhole Attacks on MANET Reliability and Security

Assessing the Effects of Blackhole Attacks on MANET Reliabil...

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2024 International Conference on Decision Aid sciences and Applications, DASA 2024

作者： Ahmed, Amjed Abbas Fadhil, Saif Aamer Najim, Ali Hamza Ali Alheeti, Khattab M. Mohd Satar, Nurhizam Safie Abdallah Hashim, Aisha Hassan Center for Cyber Security Faculty of Information Science and Technology Universiti Kebangsaan Malaysia Bangi Malaysia Department of Computer Techniques Engineering Baghdad Iraq Department of Computer Technical Engineering Baghdad10011 Iraq College of Computer and Information Technology Computer Networking Systems Department University of Anbar Anbar Iraq Bangi43600 Malaysia International Islamic University Malaysia Faculty of Engineering Department of Electrical and Computer Engineering Selangor Malaysia

ISBN: (纸本)9798350369106

Mobile Ad Hoc Networks (MANETs) are characterized by some important attributes, including infrastructure, mobile, and dynamic nature, which makes them have vast applications in different areas of computer networks. The black hole attack falls among the strongly criticized security threats within the framework of the MANETs. This deceptive behavior captures data packets from a source destined for the malicious node and then declines them when they are received. This paper comprehensively reviews prior studies done to analyze and mitigate black hole attacks in MANETs. Besides this, we will conduct a comparative analysis of the research above projects. The present paper extends prior work by actually performing the black hole assault simulations in a MANETs environment. This is done with the aid of the NS2 simulator and the Ad Hoc On-Demands Distance Vector (AODV) routing protocol. In this study, the black hole attack is analyzed and the consequences of the attack are assessed in terms of the system performance and security. We analyze crucial parameters like end-to-end latency, PDR, packet drop, and throughput to evaluate the consequences of this assault. From our results derived from the analysis of our simulations, we aim to present substantial points to do with the impacts of blackhole attacks on MANETs. In this way, our goal is to participate in the perpetually evolving efforts aimed at enhancing the security and reliability of such dynamic networks. © 2024 IEEE.

关键词： Mobile ad hoc networks

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Multi Label Classification Based on Ensemble Learning: Investigative Study 25

Multi Label Classification Based on Ensemble Learning: Inves...

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25th International Arab Conference on Information Technology, ACIT 2024

作者： Nasir, Ola Alazaidah, Raed Hadi, Wael Samara, Ghassan Al Daoud, Essam Owaida, Suhaila Abu Elrashidi, Ali Elsoud, Esraa Abu Alzoubi, Haneen Zarqa University Faculty of Information Technology Department of Computer Science Zarqa Jordan Zarqa University Faculty of Information Technology Department of Data Science and Ai Zarqa Jordan Petra University Faculty of Information Technology Department of Cyber Security Amman Jordan Zarqa University Faculty of Information Technolog Department of Computer Science Zarqa Jordan Al-al-Bayt University Faculty of Information Technology Department of Computer Science Mafraq Jordan University of Business and Technology Department of Electrical Engineering Jeddah21432 Saudi Arabia Applied Science Private University Faculty of It Department of Computer Science Amman Jordan

ISBN: (纸本)9798331540012

In the big data technology nowadays, activities associated with Multi-Label Classification (MLC) pose big and complex challenges, receiving terrific interest in diverse fields. Existing MLC algorithms suffer from low overall performance. This paper considers four well-known Problem Transformation Methods (PTMs). Two of these PTMs are based on the frequency of the labels (MFL and LFL) while the last two PTMs are based on the positive correlations among labels. These PTMs have been implemented and compared against four multi label datasets of various sizes to identify the best one that fits the nature of MLC datasets. Moreover, six popular ensemble learning models have been carried out and compared on the four datasets with respect to several evaluation metrics such as Accuracy, Hamming loss, and Exact Match and using SMO, DecisionStump, Random Forest, and Random Commission classifiers. The results revealed that MFL accomplished the quality performance amongst the four PTMs, and Stacking SVM is the best ensemble learning technique. © 2024 IEEE.

关键词： Contrastive Learning

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Simulative investigation of microcylinder-assisted microscopy in reflection and transmission mode 9

Simulative investigation of microcylinder-assisted microscop...

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Modeling Aspects in Optical Metrology IX 2023

作者： Pahl, Tobias Hagemeier, Sebastian Hüser, Lucie Rosenthal, Felix Lehmann, Peter Measurement Technology Group Faculty of Electrical Engineering and Computer Science University of Kassel Wilhelmshöher Allee 71 Kassel34109 Germany

ISBN: (数字)9781510664487

ISBN: (纸本)9781510664470

Microsphere and microcylinder-assisted microscopy (MAM) has grown to an intensively studied optical farfield imaging technique over the last decade that overcomes the fundamental lateral resolution limit of a given microscope. However, the physical effects leading to resolution enhancement are still frequently debated. In addition, various configurations of MAMs operating in transmission as well as reflection mode are examined and results generalized. We present a rigorous simulation model of MAM and present a way to quantify the resolution simulatively. The lateral resolution is compared for microscope arrangements in reflection and transmission mode. Further, we discuss different physical effects with respect to their contribution to resolution enhancement. The results indicate that the effects affecting the resolution as well as the enhancement itself strongly depend on the arrangement of the microscope and the measurement object. © 2023 SPIE.

关键词： Microspheres

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Review of Hybrid Transformer Topology

Review of Hybrid Transformer Topology

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2023 IEEE PELS Students and Young Professionals Symposium, SYPS 2023

作者： Wan, Xin Wong, Man-Chung University of Macau State Key Laboratory of Internet of Things for Smart City Department of Electrical and Computer Engineering Faculty of Science and Technology China

ISBN: (纸本)9798350307832

Due to the rapid development of power electronics and new energy generation, conventional transformers cannot meet the higher requirements of intelligent grids due to a lack of controllability. While solid-state transformers (SSTs) are currently costly, making it impossible for them to be used widely in power networks. For this reason, a compromise solution of a hybrid transformer (HT) combining the traditional line frequency transformer (LFT) with power electronic devices has attracted more and more attention. Based on existing HT research, topologies of HT are classified according to installation position and connection type of power electronic devices. Rough theoretical analyses were carried out from the point of view of voltage compensation, current compensation, and power flow control. A review of HT topology in recent years is also included. © 2023 IEEE.

关键词： Topology

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Slow motion video sequences database for freezing artifact detection

Slow motion video sequences database for freezing artifact d...

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2023 IEEE Zooming Innovation in Consumer Technologies Conference, ZINC 2023

作者： Vrtar, Ela Herceg, Marijan Vranjes, Mario Babic, Danijel TTTech Auto D.o.o. Osijek Croatia Faculty of Electrical Engineering Computer Science and Information Technology Osijek Croatia

ISBN: (纸本)9798350347722

In this paper, a new video sequence database, called Slow Motion Video Sequences (SMVS), is developed. The developed SMVS database consists of 30 video sequences with very low temporal activities, where every sequence contains a freezing artifact. The performance of two freezing detection algorithms, the Histogram-Based Freezing Artifacts Detection Algorithm (HBFDA) and the Real-Time no-reference Freezing Detection Algorithm (RTFDA) are tested on the developed database. The testing results show the poor performance of the tested algorithms. © 2023 IEEE.

关键词： Freezing

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