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9th International Conference on Wireless and Telematics, ICWT 2023

作者： J.d, I Made Aditya Putra Alifa, Lisdatul Fawwaz, Muhammad Hilmi Mauren Sibayak, Nissha Kinaya Mayasari, Ratna Arifin, Hasan Nur Ahdan, Syaiful Negara, Ridha Muldina Syambas, Nana Rachmana Bandung Institute of Technology Dept. of Telecommunication Engineering Bandung40132 Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung40132 Indonesia School of Electrical Engineering Telkom University Bandung Indonesia Universitas Teknokrat Indonesia Faculty of Engineering & Computer Science Lampung35132 Indonesia

ISBN: (纸本)9798350305029

Named data networks are a new concept in network architecture that can process data transmission by name. This concept can be utilized in the case of video streaming. TIPHON is a standard used to support streaming multimedia activities. According to TIPHON, three factors-delay, packet loss, and throughput-can influence how a stream behaves. This study's goal is to evaluate the quality of service (QoS) of video streaming services using an NDN network that adheres to the TIPHON NDN standard. Several things can affect throughput, such as bottlenecks on the computer or network device used. © 2023 IEEE.

关键词： Quality control

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Selection of Outsource Security Guard using Multi-Objective Optimization Ratio Analysis Method

Selection of Outsource Security Guard using Multi-Objective ...

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International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

作者： Mochamad Rafly Aditya Firmansyah Iklima Ermis Ismail Anita Hidayati Dept. of Computer and Informatics Engineering Politeknik Negeri Jakarta Depok Jawa Barat Indonesia

The security guard profession is no longer a profession that only relies on the physical but also other aspects, such as attitude, leadership, language, and others. There are several problems faced by companies providing security guards, namely the demand for security personnel is quite high, the number of applicants is also large, but the selection process has to go through an administrative and interview process. With a limited number of interviewers, it takes a longer time to get the selection results. Interview results also tend to be more subjective, making it difficult to determine which candidates are under the company's criteria and specifications. This study aims to develop a decision support system for selecting the acceptance of new outsourced security guards using the MOORA method for a security guard service provider company, namely PT. Purba Alter Service. There are 19 criteria used in the selection of security guards. This research developed the system on a web-based using the MOORA method for calculating the selection of alternative security guards. By comparing the results of the selection system processing using the MOORA method with the results of the previous three years without a system, of the 14 alternative names tested, 12 names appeared in both results, and obtained 85.7% accuracy. The result shows that the MOORA method is successfully implemented in selecting security personnel.

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Simulation of Robot Swarm Cooperation using V-REP Simulator: Case Study Mobile Trash Bin Robot 23

Simulation of Robot Swarm Cooperation using V-REP Simulator:...

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23rd International Electronics Symposium, IES 2021

作者： Dewantara, Bima Sena Bayu Pradipta, Giusti Arya Marta, Bayu Sandi Setiawardhana Politeknik Elektronika Negeri Surabaya Dept. of Informatics and Computer Engineering Surabaya Indonesia

ISBN: (纸本)9781665443463

This paper discusses the coordination system of two mobile robots when working together to complete a task. The system is built using a realistic 3D simulator called V-REP, where the two robot models in the simulator are controlled using two separated API-based programs in the same computer that are developed under Robotic Operating System (ROS) framework. The two program modules carry out the function of controlling navigation and communication. The two modules are connected to each other using a socket data communication model that has been packaged in a ROS node. Based on the results of the experiments that have been carried out, the two robots can work together well to complete the given tasks. © 2021 IEEE.

关键词： Simulators

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Recognition of Food Material and Measurement of Quality using YOLO and WLD-SVM 23

Recognition of Food Material and Measurement of Quality usin...

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23rd International Electronics Symposium, IES 2021

作者： Dewantara, Bima Sena Bayu Devy, Azifah Zusrina Bachtiar, Mochamad Mobed Setiawardhana Politeknik Elektronika Negeri Surabaya Dept. of Informatics and Computer Engineering Surabaya Indonesia

ISBN: (纸本)9781665443463

This paper presents the development of a system for recognizing types of food materials and measuring their quality visually using a camera. The food material can be in the form of meat, vegetables, fruits and other processed food materials such as tempeh and tofu. We build a food material recognition system using YOLOv3-tiny, and measure the quality of food ingredients using the Weber Local Descriptor (WLD) feature which is then classified using the Support Vector Machine (SVM). Based on the results of experiments that have been carried out, the results of the recognition of food materials using YOLOv3-tiny reached 82.02% and the performance of food quality measurement results using WLD-SVM reached 83.33%. © 2021 IEEE.

关键词： Support vector machines

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Spatial Mapping of Diphtheria Vulnerability Level in East Java, Indonesia, using Analytical Hierarchy Process - Natural Break Classification 2

Spatial Mapping of Diphtheria Vulnerability Level in East Ja...

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2020 2nd International Conference on Enhanced Research and Industrial Application 2020

作者： Fariza, A. Basofi, A. Aryani, M.D. Informatics and Computer Engineering Dept. Politeknik Elektronika Negeri Surabaya Surabaya Indonesia

Diphtheria is a serious infectious disease induced by the Corynebacterium Diphtheriae bacteria and often causes outbreaks (extraordinary events) in various regions. Based on data from the Ministry of Health, East Java is the biggest benefactor to diphtheria cases in Indonesia. Diphtheria cases in East Java tend to increase, especially in 2018 there were 753 diphtheria cases in 38 districts. Efforts made to prevent, treat, and control diphtheria outbreaks by the government are to analyze the level of susceptibility to diphtheria. This paper proposes a new approach to analyze the level of diphtheria susceptibility using the analytical hierarchy process (AHP) and natural breaks classification in East Java Province, Indonesia. AHP method is used to obtain diphtheria susceptibility values based on seven criteria, such as the number of sufferers, number of deaths, DPT 1, DPT 2, DPT 3 immunization, population density, and humidity. Natural break classification is used to classify the vulnerability values from AHP into three levels of vulnerability, consisting of low, medium, and high. The results of the grouping are displayed in the form of spatial mapping in the form of a web-based geographic information system (web-GIS) on the determination of the diphtheria vulnerability level using the AHP-natural breaks classification. The GVF evaluation for 2016, 2017, and 2018 are respectively 0.66, 0.67, and 0.65 (more than 0.5), which means that the proposed method achieved accurate and significant classification. Spatial-temporal analysis for 2013-2018 also achieves accurate and significant with a GVF value of 0.77. The spatial-temporal analysis can predict the high potential for vulnerability. © Published under licence by IOP Publishing Ltd.

关键词： Classification (of information)

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A 2-D Wrist Motion Based Sign Language Video Summarization 32

A 2-D Wrist Motion Based Sign Language Video Summarization

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32nd British Machine Vision Conference, BMVC 2021

作者： Sartinas, Evangelos G. Psarakis, Emmanouil Z. Antzakas, Klimis Kosmopoulos, Dimitrios I. Dept. of Computer Engineering & Informatics University of Patras Greece Dept. of Primary Education University of Patras Greece

In this paper we present a keyframe extraction scheme based on the wrist motion using differential geometry. More specifically, the time (t)-parameterized Frennet-Serret frame for tracking the signer's wrist is used and the curvature of the trajectory, is proposed for the identification of the Sign Language (SL) video keyframes. Specifically, a video frame is characterized as keyframe if on that time instance the t-parameterized curvature function attains a maximum value. Finally, in order to properly define the wrist 2-D motion model, a skeleton tracker is used. The proposed scheme is adaptable, i.e., the number of extracted keyframes varies according to the complexity of the signs, while preserving the semantic content. This in turn makes it attractive for applications like video-calling. Its performance in terms of the achieved compression and intelligibility ratios was evaluated on a ground-truth sequence and outperformed its s-parameterized counterpart (s is the arc length);it also outperformed a moment-based SL summarization technique. Furthermore, the proposed scheme was experimentally evaluated on a dataset containing 5500 signs by SL specialists with very promising results. Finally, the proposed keyframe extraction was evaluated against the aforementioned techniques on the same dataset via the use of a GRU neural network on the gloss classification problem;its superior accuracy in identifying the gloss meaning was confirmed. © 2021. The copyright of this document resides with its authors.

关键词： Classification (of information)

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Performance estimation of direct and indirect transmission in V2X communications

Performance estimation of direct and indirect transmission i...

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Panhellenic Conference on Electronics and Telecommunications (PACET)

作者： Irene Keramidi Dimitris Uzunidis Ioannis Moscholios Konstantinos Yiannopoulos Nikos Sagias Panagiotis Sarigiannidis Dept. Informatics & Telecommunications University of Peloponnese Tripolis Greece Dept. Electrical & Electronic Engineering University of West Attica Athens Greece Dept. Electrical & Computer Engineering University of W. Macedonia Kozani Greece

In this paper, we evaluate the performance of a vehicular ad hoc network that enables Vehicle-to-Everything (V2X) communication considering direct and indirect packet transmission. As a performance indicator, we use the blocking probability due to the unavailability of resources. For the blocking probability calculation, we utilize two loss models from the teletraffic theory. The results demonstrate that both the capacity of the V2X links and the number of hops in the multi-hop transmission significantly affect the blocking probability of a request for service and consequently the QoS.

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Federated Learning-Driven Edge AI for Enhanced Mobile Traffic Prediction

Federated Learning-Driven Edge AI for Enhanced Mobile Traffi...

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IEEE Symposium on Network Operations and Management

作者： Hyunsung Kim Yeji Choi Jeongjun Park Lusungu Josh Mwasinga Hyunseung Choo College of Computing and Informatics Sungkyunkwan University Suwon Korea Dept. of Electrical and Computer Engineering Sungkyunkwan University Suwon Korea

ISBN: (数字)9798350327939

ISBN: (纸本)9798350327946

The recent surge in mobile traffic has increasingly underscored the importance of Edge AI. The Edge Server (ESs) in Edge AI facilitate precise traffic prediction by collecting regional data and analyzing the characteristics and traffic patterns of adjacent areas. However, existing Edge AI systems for mobile traffic prediction are limited by their reliance on physical proximity for regional selection, failing to effectively leverage the unique infrastructure and lifestyle patterns of each area. This study proposes a novel Edge AI mobile traffic prediction architecture that overcomes the performance limitations of traditional methods by integrating multi Temporal Convolutional Networks-Long Short Term Memory (TCN-LSTM) with clustering techniques that reflect regional characteristics. The proposed approach is unconstrained by distances between regions, hence maximally utilizing unique features of each area. Furthermore, by incorporating Federated Learning (FL), this study significantly reduces the computational load, optimizing the model for real-world applications. The effectiveness of this model is validated across various Edge AI scenarios of different sizes, demonstrating a performance improvement of approximately 30% in Mean Absolute Percentage Error (MAPE) compared to conventional Edge AI system.

关键词： Performance evaluation Analytical models Federated learning Computational modeling computer architecture Traffic control Data models

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Composite metamorphic relations for integration testing 22

Composite metamorphic relations for integration testing

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8th International Conference on computer Technology Applications, ICCTA 2022

作者： Iakusheva, Sofia Khritankov, Anton Phystech School of Applied Mathematics and Informatics Moscow Institute of Physics and Technology Russia Faculty of Computer Science Dept. of Software Engineering Hse University Russia

ISBN: (纸本)9781450396226

Metamorphic testing is a testing method for problems without test oracles. Integration testing allows for detecting errors in complex systems that may not be found during the testing of their components. In this paper, we propose a novel approach that applies metamorphic testing in integration testing. The main idea is to develop a composite metamorphic relation for the system represented as an acyclic graph. This relation is a logical function of metamorphic relations for the parts of the system (vertices of the graph). It takes into account the features of the parts. Also, it can simplify the search for failure by identifying the subsystem with error. In this paper's theoretical part, we describe an algorithm of relation design. Then, we apply our method to a bioinformatics system for comparative genetic analysis of tissues using production tools. This experiment proves our method can be applied to real-life pipelines and find errors in them. © 2022 ACM.

关键词： Integration testing

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Cross Feature Fusion of Fundus Image and Generated Lesion Map for Referable Diabetic Retinopathy Classification

arXiv

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arXiv 2024年

作者： Mok, Dahyun Bum, Junghyun Tai, Le Duc Choo, Hyunseung Dept. of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of College of Computing and Informatics Sungkyunkwan University Korea Republic of

Diabetic Retinopathy (DR) is a primary cause of blindness, necessitating early detection and diagnosis. This paper focuses on referable DR classification to enhance the applicability of the proposed method in clinical practice. We develop an advanced cross-learning DR classification method leveraging transfer learning and cross-attention mechanisms. The proposed method employs the Swin U-Net architecture to segment lesion maps from DR fundus images. The Swin U-Net segmentation model, enriched with DR lesion insights, is transferred to generate a lesion map. Both the fundus image and its segmented lesion map are used as complementary inputs for the classification model. A cross-attention mechanism is deployed to improve the model’s ability to capture fine-grained details from the input pairs. Our experiments, utilizing two public datasets, FGADR and EyePACS, demonstrate a superior accuracy of 94.6%, surpassing current state-of-the-art methods by 4.4%. To this end, we aim for the proposed method to be seamlessly integrated into clinical workflows, enhancing accuracy and efficiency in identifying referable DR. Copyright © 2024, The Authors. All rights reserved.

关键词： Image segmentation

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