2023 15th International Conference on Computer and Automation Engineering (ICCAE)最新文献_第2页

Sensor Management for Localisation of an Evasive Target: The Benefits of Game Theory 用于躲避目标定位的传感器管理:博弈论的好处

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111480

B. Ristic, A. Skvortsov, S. Arulampalam, D. Kim

引用次数: 0

Identification of Durian Leaf Disease Using Convolutional Neural Network 利用卷积神经网络识别榴莲叶片病害

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111159

Jay Al Gallenero, J. Villaverde

引用次数: 0

A Review of Deep Learning Methods for Automated Clinical Coding 临床自动编码的深度学习方法综述

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111456

Soha Sadat Mahdi, Nikos Deligiannis, H. Sahli

{"title":"A Review of Deep Learning Methods for Automated Clinical Coding","authors":"Soha Sadat Mahdi, Nikos Deligiannis, H. Sahli","doi":"10.1109/ICCAE56788.2023.10111456","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111456","url":null,"abstract":"Clinical coding is an administrative function in hospitals, which involves the transformation of clinical notes into structured codes that can be analyzed statistically. Coding data has a number of benefits, including speeding up the administration process of insurance companies and hospitals, improving global data sharing, and facilitating statistical analysis and forecasting. Current healthcare practice involves an individual as a clinical coder interpreting information about an aspect of patient care and assigning standardised codes. Thus, the current manual coding process is labor-intensive, time-consuming, and error-prone. Computer-assisted coding has emerged in the healthcare industry in recent years. AI-based systems together with expert-led services can help reduce labor costs, facilitate the administration process, and provide more informed and efficient healthcare. Consequently, researchers are increasingly interested in the use of deep neural networks to automate the process of clinical coding. The objective of this brief literature review is to summarize and describe the characteristics of the International Classification of Diseases (ICD), list the commonly used ICD-coded datasets, discuss the state-of-the-art deep learning models for ICD coding and the effect of injecting ICD ontology into these models, and present the interpretability mechanism that have been developed and implemented for clinical coding.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"20 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":"127056159","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

Data-Driven FEM Modeling of Elastic Cables for Robotic Manipulation Tasks 面向机器人操作任务的弹性索数据驱动有限元建模

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111155

Enrico di Maria, S. Yasukawa

{"title":"Data-Driven FEM Modeling of Elastic Cables for Robotic Manipulation Tasks","authors":"Enrico di Maria, S. Yasukawa","doi":"10.1109/ICCAE56788.2023.10111155","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111155","url":null,"abstract":"The automation of flexible cables assembling tasks by industrial robots is still very challenging. Unlike rigid objects, flexible objects’ state is uncertain, and their deformation is crucial for performing correctly a task. When a human being manipulates a cable, he can have quickly an idea of its geometry and stiffness just by looking at it and shaping it by hands. In this work, we propose a method that mimics this process and makes a robot learn the geometry and stiffness of a cable. The goal is to have a simulator in which the robot can generate the cable and tune its stiffness and damping properties by comparing the simulated deformed shape with that of a cable deformed in a real scenario. At first, the geometry of the cable is obtained by a Lidar, and a FEM model is generated and imported into a simulator. The virtual cable is shaped in a plane by a robot arm, and the resulting shape is compared with that obtained by conducting the same test with a real robot. An optimization based on Bayesian inference and Gaussian process is then used to tune the stiffness and damping properties of the simulated cable. The proposed method shows the ability to generate the cable from scratch and tune its parameters to obtain the desired shape in the plane.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"73 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":"127120657","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

Las Piñas Flood Monitoring System with Alternate Route Using Bayesian Network via Mobile Application Las Piñas基于移动应用的贝叶斯网络备用路径洪水监测系统

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111369

Romnick U. Cartusiano, F. Cruz

{"title":"Las Piñas Flood Monitoring System with Alternate Route Using Bayesian Network via Mobile Application","authors":"Romnick U. Cartusiano, F. Cruz","doi":"10.1109/ICCAE56788.2023.10111369","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111369","url":null,"abstract":"Flood inundation time has increased significantly due to climate change, resulting in temporary loss of mobility by the public and during disaster management. The Las Piñas Disaster Risk Reduction and Management Office (LPDRRMO) operation relies on real-time situation updates during calamities. Barangay responders provide updates on the flood situation in the city and are at risk of hazards since manual measurements are being used. According to the National Disaster Risk Reduction and Management Plan, technological advancement in disaster mitigation should be developed and incorporated during disaster operations. This work applied the internet-of-things (IoT) to create timely updates for weather parameters across the city. Float switches and ultrasonic sensors determine the flood heights, while temperature and humidity sensors measure the atmospheric conditions. Microcontrollers in flood stations process the data, transmit and receive data via short message services (SMS) with an average of 6 seconds refresh rate in a mobile application, depending on the signal strength of sites. The operations are analyzed through a Jetson Nano server. A Bayesian network analysis classifier trained and tested data from historical data provided by the LPDRRMO generating an algorithm with 94.87% accuracy. Then, Dijkstra's shortest path process is employed to reroute the traffic incorporating the \"Friendship Route\" – an interconnected road network of Las Piñas City across various villages and subdivisions to ease the traffic along the major thoroughfares. The mobile app is made available in cross-platform for Android and iOS operating systems using React.js and React Native, and is named Electronic Flood Warning and Alternative Route System (e-WAS).","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"1 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":"130746779","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

A Compressed Air Network Energy-Efficient Hierarchical Unit Commitment and Control 压缩空气网络节能分层单元承诺与控制

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111312

Daniele Ravasio, Lorenzo Tuissi, S. Spinelli, A. Ballarino

引用次数: 0

A Supervisory Control System for a Mechatronics Assembly Station 机电一体化装配站监控系统

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111393

Charan Valaboju, Manikanth Amuda, Srinivas Nch, Sushvan Reddy Gopireddy, P. Hazaveh, Nathir A. Rawashdeh

{"title":"A Supervisory Control System for a Mechatronics Assembly Station","authors":"Charan Valaboju, Manikanth Amuda, Srinivas Nch, Sushvan Reddy Gopireddy, P. Hazaveh, Nathir A. Rawashdeh","doi":"10.1109/ICCAE56788.2023.10111393","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111393","url":null,"abstract":"In this work, we design and create a Human Machine Interface (HMI) for a mechatronics assembly station controlled by a programmable logic controller. Components are pneumatically assembled of different parts which include a valve body, a spool, a screw, and a knob-spring. A PLC uses the data gathered from various sensors to control the output devices. This PLC is interfaced with a computer that acts as a human-machine interface. The HMI interface is designed in such a way that the information from the assembly station can be monitored and controlled in real-time. The process can be performed manually or automatically by changing the state of the selector switch on the HMI. A different message is displayed at each step of the assembly process to identify the progress. Different alarms are also displayed to alert the operator of possible complications during the assembly process. This project was performed in the Advanced PLC Laboratory at Michigan Technological University using an Allen Bradley CompactLogix L32E PLC. The software used includes RSLogix 5000 for programming the PLCs, and FactoryTalk View Studio for developing the SCADA HMI system.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"13 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":"129227892","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

Interaction Concepts for an Adaptable Dementia Therapy Robot 适应性痴呆治疗机器人的交互概念

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111160

Nadine Schweiger, Christian Wolff

{"title":"Interaction Concepts for an Adaptable Dementia Therapy Robot","authors":"Nadine Schweiger, Christian Wolff","doi":"10.1109/ICCAE56788.2023.10111160","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111160","url":null,"abstract":"Due to demographic change, an increase in dementia patients in nursing homes is predicted. The prevention and treatment of dementia patients is time-consuming because the therapy must be individually tailored to the patient’s state of health. As a result of the cost pressure in nursing homes and the shortage of nursing staff, this poses challenges for the nursing area. The use of therapy robots can help to overcome these challenges and strengthen the resilience of elderly people. Previous research has shown that the therapeutic exercises ball throwing, high-five games, and strength exercises are suitable to be supervised and executed by a dementia robot. Essential for the performance and acceptance of such a dementia robot is its interaction capability. Therefore, an adaptive, optimizing, real-time and knowledge based interaction system for the mentioned therapy exercises was researched. This classifies the dementia degree using fuzzy logic and adjusts the exercise parameters with evolutionary algorithms according to the therapy goal. For this purpose, the expert knowledge of caregivers was first collected using a knowledge acquisition and formalized into a knowledge base with a hybrid inference mechanism. A first prototype of the interaction system has already been tested in a real-time robot simulation. After transferring the knowledge-based interaction system to the real dementia robot, it will be evaluated in a test person study.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"70 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":"125565742","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

Bioacoustics Signal Classification Using Hybrid Feature Space with Machine Learning 基于混合特征空间和机器学习的生物声学信号分类

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111384

Usman Haider, M. Hanif, Hiroki Kobayashi, L. Parajuli, Daisuké Shimotoku, Ahmar Rashid, Sonia Safeer

引用次数: 0

Expiry Date Character Recognition on Canned Goods Using Convolutional Neural Network VGG16 Architecture 基于卷积神经网络VGG16结构的罐头食品过期字符识别

2023 15th International Conference on Computer and Automation Engineering (ICCAE) Pub Date : 2023-03-03 DOI: 10.1109/ICCAE56788.2023.10111352

C. O. Manlises, Joan B. Santos, Patricia A. Adviento, Dionis A. Padilla

{"title":"Expiry Date Character Recognition on Canned Goods Using Convolutional Neural Network VGG16 Architecture","authors":"C. O. Manlises, Joan B. Santos, Patricia A. Adviento, Dionis A. Padilla","doi":"10.1109/ICCAE56788.2023.10111352","DOIUrl":"https://doi.org/10.1109/ICCAE56788.2023.10111352","url":null,"abstract":"Expiration dates have a significant role in the health and safety of consumers. It declares when a processed product like canned goods should be consumed. Once it has passed the expiration date, the product turns into food waste. This has been a major concern globally wherein one-third of the food manufactured is wasted. Using the researchers' dataset, the study focused on creating a system that uses image processing methods to recognize the characters, and the dot-matrix print expiration dates, in canned goods using the prescribed format: day, month, and year via Convolutional Neural Network Architecture. The process of image preprocessing, recognition, extraction, and classification of expiration date characters from the input image will take place in the raspberry pi microcontroller. An LCD screen was utilized to display the translated expiration dates from sample canned goods. The research used 30 sample canned goods, 27 of them were recognized correctly while the 3 others are recognized incorrectly. With this, the system was able to achieve 90% accuracy and proved that the system can recognize the expiration date on canned goods.","PeriodicalId":406112,"journal":{"name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","volume":"1 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":"116225762","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