2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)最新文献_第7页

Development of Knowledge Based Assistive Technology Using Robot to Enhance Cognitive Ability for Intellectual Disability 基于知识的机器人辅助技术在提高智障认知能力中的应用

2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2022-11-22 DOI: 10.1109/CENIM56801.2022.10037460

Arsy Huda Fathaniard, A. Arifin, M. Fatoni, M. Nuh

引用次数: 0

The Implementation of Hybrid Semantic Ontology-based Model on Movie Recommendation System 基于混合语义本体模型在电影推荐系统中的实现

2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2022-11-22 DOI: 10.1109/CENIM56801.2022.10037277

Noor Ifada, Evi Cahyaningrum, Fika Hastarita Rachman

引用次数: 0

Dynamic Sound Effect Based on Distance of Interactive Object using Linear Interpolation Method in Unity3D Unity3D中基于交互物体距离的线性插值动态声音效果

2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2022-11-22 DOI: 10.1109/CENIM56801.2022.10037563

Firadi Surya Pramana, E. M. Yuniarno, S. M. S. Nugroho, Y. Suprapto

引用次数: 0

Non-Invasive Detection System for Blood Sugar, Cholesterol, Uric Acid, and Body Temperature Using MAX30105 and MLX90614 Sensors 使用MAX30105和MLX90614传感器的血糖、胆固醇、尿酸和体温无创检测系统

2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2022-11-22 DOI: 10.1109/CENIM56801.2022.10037351

Rahmat Noor Fauzi, Nadia Ristiani, Nur Saida, Helmy Yusuf Darmawan, Agung Sanubari, P. Oktivasari, R. N. Wardhani, Riandini

引用次数: 1

Control Design of Quadcopter using Output Feedback Control Pole Placement 基于输出反馈控制极点的四轴飞行器控制设计

2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2022-11-22 DOI: 10.1109/CENIM56801.2022.10037547

Mardlijah, Dita Prihatini

引用次数: 0

Simulation-Based Evaluation of THz and VLC Access Links in Tropical Rain Regions 基于仿真的热带雨区太赫兹和VLC接入链路评估

2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2022-11-22 DOI: 10.1109/CENIM56801.2022.10037420

Muhammad Idris Romadly, G. Hendrantoro, A. Mauludiyanto

{"title":"Simulation-Based Evaluation of THz and VLC Access Links in Tropical Rain Regions","authors":"Muhammad Idris Romadly, G. Hendrantoro, A. Mauludiyanto","doi":"10.1109/CENIM56801.2022.10037420","DOIUrl":"https://doi.org/10.1109/CENIM56801.2022.10037420","url":null,"abstract":"With the development of telecommunications science and the increasing number of problems that require intelligent and reliable technology, 6G communication networks have begun to be widely studied. Terahertz (THz) and Visible Light (VLC) links are the bands that will be used for this network. Due to their wide bandwidth, they are expected to transmit data faster. However, the higher the frequency, the greater the attenuation that occurs during transmission due to rain. This will potentially reduce the performance of the 6G links when applied in tropical areas characterized by heavy rain. Hence, it is necessary to analyze the effect of tropical rain attenuation on the performance of the 6G links. In this study, a multi-variate autoregressive simulation is carried out to generate rain attenuations on such links with statistics obtained from measurements. In particular we look at the performance of base station diversity (BSD) scheme with two base stations serving a user terminal. From the simulation, it can be concluded that under the influence of tropical rainfall for outdoor communication by taking a fade margin of 3 dB as a reference, the link length that allows for the THz link is 2.5 meters and 3 meters for the VLC link, with this short link the use of BSD also has no effect on outdoor communication either with Terahertz or VLC links. Hence, in tropical areas outdoor THz and VLC links are hard to realize, except when the availability or fade margin requirement is made less stringent.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130438503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal Setting of Overcurrent Relay on Industrial Power System Using Particle Swarm Optimization 基于粒子群算法的工业电力系统过流继电器优化整定

2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2022-11-22 DOI: 10.1109/CENIM56801.2022.10037484

Miftakhul Fauzia Hakim, M. Pujiantara, V. Lystianingrum

{"title":"Optimal Setting of Overcurrent Relay on Industrial Power System Using Particle Swarm Optimization","authors":"Miftakhul Fauzia Hakim, M. Pujiantara, V. Lystianingrum","doi":"10.1109/CENIM56801.2022.10037484","DOIUrl":"https://doi.org/10.1109/CENIM56801.2022.10037484","url":null,"abstract":"Overcurrent relay (OCR) setting in the industrial power system is a challenge for some engineers. The problem is not only determining the curve type and the value of the time dial setting (TDS) but also the number of relays that must be set. The relays are installed starting from the load side (downstream) to the power source (upstream). Thus, it takes a long time to set all the installed relays. One of solution to this problem is changing the form of the relay setting problem into an optimization problem. Recently, many studies have been using particle swarm optimization (PSO) to solve optimization problems. However, there are still few of them that use PSO to optimize relay setting problems in an industrial power system. This paper uses PSO as an optimization algorithm to solve OCR setting problem. PSO is a swarm-based algorithm that is easy to implement for various optimization problems but has some drawbacks in solving problems. Therefore, this paper proposes a new form of adaptive PSO, namely modified adaptive particle swarm optimization (MAPSO). In contrast to PSO, the MAPSO algorithm provides more optimal results than the original PSO.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129694933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Implementation of MTCNN Facial Feature Extraction on Sleepiness Scale Classification Using CNN 基于CNN的MTCNN人脸特征提取在嗜睡尺度分类中的实现

2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2022-11-22 DOI: 10.1109/CENIM56801.2022.10037269

Adima Mahardika Putra, A. Zaini, Eko Pramunanto

{"title":"Implementation of MTCNN Facial Feature Extraction on Sleepiness Scale Classification Using CNN","authors":"Adima Mahardika Putra, A. Zaini, Eko Pramunanto","doi":"10.1109/CENIM56801.2022.10037269","DOIUrl":"https://doi.org/10.1109/CENIM56801.2022.10037269","url":null,"abstract":"Sleepiness is a condition when the level of human consciousness decreases. Sleepiness is not easy to measure externally. If this is allowed just like that, it would be very dangerous if we were doing activities that requires full control of consciousness such as activities driving. This set of tools and methods for detecting drowsiness has been developed. However, in its implementation the intrusive method uses this tool less practical. In addition, the sleep detection method uses video images as well experiencing problems due to the potential for data loss in the form of facial features. To get this data, you must use a near infrared camera which has a low resolution and lacks detail. Therefore it is necessary an algorithm that is able to detect facial features to the maximum for classifying a person's sleepiness scale. To achieve the goal, a program will be created that functions to perform the extraction facial features and eye features. The program will function to detect number of frames containing facial features and performing condition classification eyes closed or open which will then be saved in a ‘csv’ file to be processed. Furthermore, the data will be carried out in the training process using 1D CNN architecture. The results of the training process that has been carried out The previous model is the model that will be used in performing the scale classification drowsiness. There are 6 experimental scenarios to get the best results. From all the results that have been obtained, it can be concluded that the best model results are the result of the training process with epoch values by 30 and the addition of synthetic data. Accuracy value obtained of 89% and the loss value of 34%.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123483452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0