2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)最新文献

Development of Mobile Robot Education Kit Prototype for Elementary School Students 小学生移动机器人教育工具包原型的研制

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649530

K. Priandana, Friska Margaretha, Doli Aryo Dani Sinaga, B. Kusumoputro

{"title":"Development of Mobile Robot Education Kit Prototype for Elementary School Students","authors":"K. Priandana, Friska Margaretha, Doli Aryo Dani Sinaga, B. Kusumoputro","doi":"10.1109/COSITE52651.2021.9649530","DOIUrl":"https://doi.org/10.1109/COSITE52651.2021.9649530","url":null,"abstract":"Electronic technologies are growing very rapidly, especially those related to automation and robotics. Robotics technology is currently being developed and implemented in various fields including military, search and rescue, education, transportation, sports, and many other fields. Various researches on robotics technology continue to be carried out by various universities in the world including in Indonesia. To increase the interest of the young generation in the field of robotics, an attractive educational kit especially for elementary school level is necessary. This work aims to develop a robotics education kit in the form of a unique and interesting mobile robot as a learning media for elementary school students. The robot was developed using an Arduino microcontroller and can be operated by elementary school students using an easy and user-friendly blocks programming. The testing shows that the developed robotics education kit has been able to function properly, in accordance with the design and the specified requirements.","PeriodicalId":399316,"journal":{"name":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115715529","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: 1

Advisory Board 咨询委员会

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1080/03079458808436474

Dennis Thiessen

引用次数: 0

A Modified Simulated Kalman Filter Optimizer with State Measurement, Substitution Mutation, Hamming Distance Calculation, and Swap Operator 一种带有状态测量、替换突变、汉明距离计算和交换算子的改进模拟卡尔曼滤波器优化器

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649546

Suhazri Amrin Rahmad, Z. Ibrahim, Z. Yusof

{"title":"A Modified Simulated Kalman Filter Optimizer with State Measurement, Substitution Mutation, Hamming Distance Calculation, and Swap Operator","authors":"Suhazri Amrin Rahmad, Z. Ibrahim, Z. Yusof","doi":"10.1109/COSITE52651.2021.9649546","DOIUrl":"https://doi.org/10.1109/COSITE52651.2021.9649546","url":null,"abstract":"The simulated Kalman filter (SKF) is an algorithm for population-based optimization based on the Kalman filter framework. Each agent in SKF is treated as a Kalman filter. The SKF utilizes a Kalman filter process that includes prediction, measurement, and estimation to determine the global optimum. However, the SKF can only operate in the numerical search space. Numerous approaches and modifications have been used in the literature to enable numerical meta-heuristic algorithms to operate in a discrete search space. This paper presents modifications to measurement and estimation in the SKF by utilizing mutation and Hamming distance technique to accommodate the discrete search space. The modified algorithm is called Discrete Simulated Kalman Filter Optimizer (DSKFO). Additionally, the DSKFO algorithm incorporates the swap operator as an extension to improve the solution in solving the travelling salesman problem (TSP). The DSKFO algorithm was compared against four other combinatorial SKF algorithms and outperformed them all.","PeriodicalId":399316,"journal":{"name":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130553807","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

Securing Data Communication Through MQTT Protocol with AES-256 Encryption Algorithm CBC Mode on ESP32-Based Smart Homes 基于esp32的智能家居中采用AES-256加密算法CBC模式的MQTT协议保护数据通信

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649577

Fauzan Budi Setiawan, Magfirawaty

{"title":"Securing Data Communication Through MQTT Protocol with AES-256 Encryption Algorithm CBC Mode on ESP32-Based Smart Homes","authors":"Fauzan Budi Setiawan, Magfirawaty","doi":"10.1109/COSITE52651.2021.9649577","DOIUrl":"https://doi.org/10.1109/COSITE52651.2021.9649577","url":null,"abstract":"The Internet of Things (IoT) is a technology that allows connection between devices using the internet to collect and exchange data with each other. Privacy and security have become the most pressing issues in the IoT network, especially in the smart home. Nevertheless, there are still many smart home devices that have not implemented security and privacy policies. This study proposes a remote sensor control system built on ESP32 to implement a smart home through the Message Queuing Telemetry Transport(MQTT) protocol by applying the Advanced Encryption Standard (AES) algorithm with a 256-bit key. It addresses security issues in the smart home by encrypting messages sent from users to sensors. Besides ESP32, the system implementation also uses Raspberry Pi and smartphone with Android applications. The network was analyzed using Wireshark, and it showed that the message sent was encrypted. This implementation could prevent brute force attacks, with the result that it could guarantee the confidentiality of a message. Meanwhile, from several experiments conducted in this study, the difference in the average time of sending encrypted and unencrypted messages was not too significant, i.e., 20 ms.","PeriodicalId":399316,"journal":{"name":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","volume":"46 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130769205","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: 6

Keynote Speaker 3 - Dynamic Synthetic Thermal Images Extraction Technique for Vein Visualization 主讲人3 -静脉可视化的动态合成热图像提取技术

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/cosite52651.2021.9649507

引用次数: 0

Analysing Effects of Uncertainties in Spectral Response Measurement of a Solar Photovoltaic Device using a Polychromatic Filter Method 多色滤波法测量太阳能光伏器件光谱响应时不确定度的影响分析

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649605

I. D. Sara, Norzanah binti Rosmin

{"title":"Analysing Effects of Uncertainties in Spectral Response Measurement of a Solar Photovoltaic Device using a Polychromatic Filter Method","authors":"I. D. Sara, Norzanah binti Rosmin","doi":"10.1109/COSITE52651.2021.9649605","DOIUrl":"https://doi.org/10.1109/COSITE52651.2021.9649605","url":null,"abstract":"This paper analyses the effects of uncertainties in the spectral response (SR) measurement using the polychromatic filter (PF) method on the SR measurement result. The advantage of using polychromatic filter method in the SR measurement is that the beam intensity illuminating the device under test becomes much higher compared to the conventional monochromatic filter (MF) method. The PF method only requires a set of measured short-circuit currents, a set of irradiance spectra corresponding to the measured currents, a spectral response model, and a fitting algorithm for SR determination. The SR characteristic curve of a solar photovoltaic device is obtained by fitting the device measured current to the photocurrent formula. The contribution of the uncertainty of different input parameters to the SR determination can be quantified and understood by using the Monte Carlo method. The sensitivity analysis shows that the accuracy of the SR determination obtained using the PF method significantly depends on the uncertainty in choosing appropriate initial values for the coefficients of the chosen SR model.","PeriodicalId":399316,"journal":{"name":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125851489","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

Impact of Implementing Data Balancing Method in Intelligent Thyroid Cancer Detection 数据均衡方法在甲状腺癌智能检测中的应用

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649624

H. A. Nugroho, Eka Legya Frannita

引用次数: 0

Enhanced Point Cloud Upsampling using Multi-branch Network and Attention Fusion 利用多分支网络和注意力融合增强点云上采样

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649506

Chia-Hung Yeh, Wei-Cheng Lin

{"title":"Enhanced Point Cloud Upsampling using Multi-branch Network and Attention Fusion","authors":"Chia-Hung Yeh, Wei-Cheng Lin","doi":"10.1109/COSITE52651.2021.9649506","DOIUrl":"https://doi.org/10.1109/COSITE52651.2021.9649506","url":null,"abstract":"Point cloud upsampling is critically useful for 3D reconstruction and 3D data understanding due to hardware limitation which often obtain sparse point sets. Recent point cloud upsampling approaches attempt to generate a dense point set with a single upsampling stage. After revisiting the task, we propose a new upsampling module, which conducts multi-branch network strategy to refine the generated point set. In each branch, we upsample points by duplicating feature space and pass through MLPs and self-attention unit. Further, we incorporate an auxiliary network to encode global features from input point cloud, which preserves structure information in the first place, and aggregate global features with generated point features to enhance overall performance. Specifically, our proposed network assembles global features with generated point features using attention fusion that allows each point to acquire global information from weighted attention map. Extensive qualitative and quantitative evaluation on different datasets demonstrate how our method outperform other existing approaches.","PeriodicalId":399316,"journal":{"name":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132777540","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: 1

Analysis on Dimensionality Reduction Techniques for Sub-Seasonal to Seasonal Rainfall Prediction 分季节到季节降水预报的降维技术分析

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649588

A. Kustiyo, A. Buono, A. Faqih, K. Priandana

{"title":"Analysis on Dimensionality Reduction Techniques for Sub-Seasonal to Seasonal Rainfall Prediction","authors":"A. Kustiyo, A. Buono, A. Faqih, K. Priandana","doi":"10.1109/COSITE52651.2021.9649588","DOIUrl":"https://doi.org/10.1109/COSITE52651.2021.9649588","url":null,"abstract":"Sub-seasonal to seasonal ($S$2$S$) weather prediction refers to a prediction of environmental conditions made in the range of 2 weeks to 12 months. The $S$2$S$ products are based on the output of global climate models, and can be developed further through various statistical downscaling approaches. The training of the statistical models requires relatively high computational resources due to the large size and dimension of Global Climate Model (GCM) output data. This research analyzes the use of several dimensionality reduction techniques that can be used to reduce the dimension of the GCM output data. The compared techniques are one-dimensional Principal Component Analysis (1D-PCA), one-dimensional wavelet decomposition (1D-WD) and two-dimensional wavelet decomposition (2D-WD). Backpropagation algorithm is utilized to train the neural network model using the dimension-reduced GCM data. Simulation results revealed that the 2D-WD model has a relatively consistent performance compared to the other models and has the lowest training time among others. This method has the potential to produce a prediction model with good accuracy and with reasonably low computational cost.","PeriodicalId":399316,"journal":{"name":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126813505","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: 1

Customized Acoustic Model using Low-Resource Indonesian Speech Dataset for Short Command Speech Recognition System 基于低资源印尼语语音数据集的短命令语音识别系统自定义声学模型

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649469

Alim Misbullah, Kurnia Saputra, Fauzy Nisa

{"title":"Customized Acoustic Model using Low-Resource Indonesian Speech Dataset for Short Command Speech Recognition System","authors":"Alim Misbullah, Kurnia Saputra, Fauzy Nisa","doi":"10.1109/COSITE52651.2021.9649469","DOIUrl":"https://doi.org/10.1109/COSITE52651.2021.9649469","url":null,"abstract":"The deep neural network technique recently is one of the most state-of-art approaches to train speech recognition systems. In most cases, the neural network needs a huge audio corpus and many speakers to perform well, especially for an acoustic model. One of the examples is the English speech recognition system which has shown accurate performance in many applications. However, the low resource dataset cannot boost performance while using the deep neural network to build an acoustic model. It remains challenging to investigate the usage of hyperparameters in the deep neural network to train the acoustic model. This paper explores proper hyperparameters for low-resource Indonesian audio datasets to gain acceptable performance using time-delay neural networks and convolutional neural networks. The dataset was collected from students using 56 short commands suitable for intelligence assistant applications. In our experiment, the time-delay neural networks can obtain 1.09 % WER. Finally, the best performance is achieved by stacking convolutional neural networks layer after input layer and tuning hyperparameters.","PeriodicalId":399316,"journal":{"name":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120937611","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: 3