2023 15th International Conference on Computer and Automation Engineering (ICCAE)最新文献_第9页

Robot Vision-based Waste Recycling Sorting with PLC as Centralized Controller 以PLC为集中控制器的基于机器人视觉的垃圾回收分拣

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111451

Chetan S. Nandre, Edwin Yazbec, Prathamesh Urunkar, Sourish Motey, P. Hazaveh, Nathir A. Rawashdeh

引用次数: 0

Computer Vision-Based Non-invasive Sweetness Assessment of Mangifera Indica L. Fruit Using K-means Clustering and CNN 基于k均值聚类和CNN的芒果果实无创甜度计算机视觉评价

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111250

A. Yumang, Luvelin Anne G. Francia, Ryan Jowell L. Romero

{"title":"Computer Vision-Based Non-invasive Sweetness Assessment of Mangifera Indica L. Fruit Using K-means Clustering and CNN","authors":"A. Yumang, Luvelin Anne G. Francia, Ryan Jowell L. Romero","doi":"10.1109/ICCAE56788.2023.10111250","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111250","url":null,"abstract":"Hailing from Guimaras, Philippines, the Carabao mango has recognition as the sweetest mango in the world. The Philippines should naturally be a top global mango exporter, for that matter. The distribution system and workforce of the country, however, are lacking. Marketing and labeling yellow, ripe Carabao mangoes as sweet when some are sour easily mislead the human eye. The automated non-invasive sorting of ripe Carabao mangoes as Super Sweet, Sweet, or Sour relative to their yellow hue, Brix value, and the range the mangoes belong under can create leverage for the Philippine mango distribution. Sixty images garnered from two (2) sides of 30 ripe Carabao mango test samples went first through Convolutional Neural Network (CNN) to segment the mango from other unnecessary fragments. The grouped most dominant colors of K-means clustering then produce RGB values in Carabao mangoes. Those RGB values correspond to Brix values, and the higher the Brix values, the sweeter the mango. Classifications of the computer vision system achieved 83.33% accuracy and 16.67% misclassification.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133429947","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

A Long-Term Wind Power Prediction using Support Vector Regression and Ensemble Boosted Tree Algorithm (SVR-EBTA) 基于支持向量回归和集成增强树(SVR-EBTA)的长期风电预测

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111136

R. J. E. Jizmundo, R. J. F. Maltezo, F. Villanueva, M. Pacis

引用次数: 0

Route Prediction from GPS Trajectory and Road Data 基于GPS轨迹和道路数据的路线预测

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111441

Rathachai Chawuthai, Kampanart Kawachakul, Kittikom Boonrod, T. Threepak

引用次数: 0

Multi-Goal Point Stabilization Control for Differential Drive Mobile Robot with Odometry 差动驱动移动机器人的多目标点镇定控制

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111290

Arystan Amangeldi, Assem Dospanova, S. Kusdavletov

引用次数: 0

IoT Based Water Consumption Monitoring System for Water Management 基于物联网的水管理用水量监测系统

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111335

Alfred E. Clemente, Reinier Miguel G. Samaniego, F. Cruz

{"title":"IoT Based Water Consumption Monitoring System for Water Management","authors":"Alfred E. Clemente, Reinier Miguel G. Samaniego, F. Cruz","doi":"10.1109/ICCAE56788.2023.10111335","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111335","url":null,"abstract":"The demand for water nowadays is essentially high due to the need for frequent sanitation, cleaning, and disinfecting specially when travelling in different places. As ferry boat travels from one place to another, it carries specific amount of water for passenger’s lavatory use. In fact, water is being overused in any classification including ferry boats which contributes to its weigh allocation. Due to this, the researchers formulated a solution for determining the approximate amount of water a ferry boat should carry in a specific time of travel. The study utilizes three water flow sensors attached to the sink, toilet, and bidet which are the primary elements of a lavatory. Also, the sink is equipped with a touchless activation using an infrared sensor with low, medium, and high flow rates in accordance to the time of obstacle sensing. The data gathered are processed using Arduino 2560 and ESP8266 Wi-Fi module which is capable of sending the data in the internet (IoT). The water monitoring takes place in an android mobile application and through the online database which is firebase. The water flow rate readings measured by the three water flow sensors produced an accuracy of 96.89%.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131222525","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

Investigating the Role of PTEN and P53 in Autism: Design of A Mutant Information Prediction System (MIPS) 研究PTEN和P53在自闭症中的作用:突变信息预测系统(MIPS)的设计

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111310

S. Jacob, Bensujin Bennet, M. Sulaiman

{"title":"Investigating the Role of PTEN and P53 in Autism: Design of A Mutant Information Prediction System (MIPS)","authors":"S. Jacob, Bensujin Bennet, M. Sulaiman","doi":"10.1109/ICCAE56788.2023.10111310","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111310","url":null,"abstract":"P53 is a tumor suppressor protein that is encoded by the TP53 gene in humans. Certain genetic mutations suppress the normal functioning of P53, causing tumors, and degenerate cell growth, leading to several organ disorders. Research states that PTEN hamartoma tumor syndrome (PHTS), a negative outcome of the germline PTEN mutations, is linked with organ-specific cancers and autism spectrum disorders (ASD). In recent years, deficiency of PTEN has also been found to play a role in altering P53 expressions that triggers/advances autism traits. Application of data mining and supervised machine learning techniques for the precise and early identification of such mutations is one of the challenging tasks in the field of computer science, health care and bioinformatics. We present a novel design of a mutant prediction system by configuring the mutation sites that enable detection of genetic markers from secondary DNA-binding mutation records based on the active/inactive state of the Tumor Protein TP53. This mutant information prediction system is based on the Bayesian probabilities extracted for each mutation of the P53 protein at the different binding sites. We then utilize the rules generated by the Random Forest algorithm to formulate a Mutant Information Predictor System (MIPS) to predict the class of P53 mutant sites. We believe that this system would enable further research in investigating the role of P53 in causing/detecting autism.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124576304","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

Robot Grasp Planning from Human Demonstration 从人的示范看机器人抓取规划

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111294

Kaimeng Wang, Yongxiang Fan, I. Sakuma

{"title":"Robot Grasp Planning from Human Demonstration","authors":"Kaimeng Wang, Yongxiang Fan, I. Sakuma","doi":"10.1109/ICCAE56788.2023.10111294","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111294","url":null,"abstract":"Robot grasping is an essential capability to achieve the requirements of complex industrial tasks. Numerous studies have been done in this area to meet various practical needs. However, generating a stable grasp is still challenging due to the object geometry constraints and various purposes of the tasks. In this work, we propose a novel Programming-by-Demonstration based grasp planning framework that extracts human grasp skills (contact region and approach direction) from a single human demonstration and then formulates an optimization problem to generate a stable grasp with the extracted grasp skills. Instead of learning implicit synergies from human demonstration or mapping the dissimilar kinematics between the human hand and robot gripper, the proposed approach is able to learn an intuitive human intention that involves the potential contact region and the grasping approach direction. Furthermore, the introduced optimization formulation is able to search for the optimal grasp by minimizing the surface fitting error between the demonstrated contact regions on the object and the gripper finger surface, and penalizing the misalignment between the demonstrated approach direction and the approach direction of the gripper. A series of experiments are conducted to verify the effectiveness of the proposed algorithm in both simulation and the real world","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124990299","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

Design of Picoammeter Device Interface Boards for the CTS-5010 Automatic Test Equipment CTS-5010自动测试设备皮安器件接口板的设计

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111117

John Rigel Diaz, Kezter John Fajutagana, Marco Dalena, Argie Flores, M. A. Latina

引用次数: 0

Time Domain Analysis for Emotional EEG Signals of Stroke Patient and Normal Subject 脑卒中患者与正常人情绪脑电图信号的时域分析

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111252

Edwin Vincen, W. Khairunizam, Choong Wen Yean, W. Mustafa

{"title":"Time Domain Analysis for Emotional EEG Signals of Stroke Patient and Normal Subject","authors":"Edwin Vincen, W. Khairunizam, Choong Wen Yean, W. Mustafa","doi":"10.1109/ICCAE56788.2023.10111252","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111252","url":null,"abstract":"This paper aims to analyze the emotional Electroencephalogram (EEG) signals of different time windows. The time window of the signals is one of the variables that affect the efficiency of the EEG signal analysis. In this research, a total of 30 subjects are analyzed from three different groups namely 10 left brain damage (LBD), 10 right brain damage (RBD), and 10 normal control (NC) for six different emotional states. The 14-Channel Wireless Emotiv EPOC device with a sampling frequency of 128 Hz is used to extract EEG signal from the subjects. The 6th Order Butterworth Bandpass filter is used to extract the EEG signals with the frequency band of 8-49 Hz, which are alpha to gamma waves. The EEG signals are segmented in 2s, 4s, 6s, and 8s time windows for all frequency bands. In addition, the K-Nearest Neighbor (KNN) and Probabilistic Neural Network (PNN) classifiers are used to classify the six emotions in LBD, RBD and NC. The beta and gamma bands are the best performing EEG frequency band for emotion classification. In the investigation, 6s time windows have the highest classification accuracy for KNN with 81.90% and 8s time window for PNN classifier with 82.15%.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126794835","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