2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)最新文献_第6页

Improving Rice Farming Productivity through Solar-Powered Electronic Stirring with SMS Notifications 通过太阳能电子搅拌和短信通知提高水稻生产效率

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193283

Froilan G. Destreza, Lorissa Joana E. Buenas, Engr. Alfredo V. Atienza

引用次数: 0

Long Short-Term Memory-based Static and Dynamic Filipino Sign Language Recognition 基于长短期记忆的静态和动态菲律宾语手语识别

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193672

Carmela Louise L. Evangelista, Criss Jericho R. Geli, Marc Marion V. Castillo, Carol Biklin G. Macabagdal

{"title":"Long Short-Term Memory-based Static and Dynamic Filipino Sign Language Recognition","authors":"Carmela Louise L. Evangelista, Criss Jericho R. Geli, Marc Marion V. Castillo, Carol Biklin G. Macabagdal","doi":"10.1109/I2CACIS57635.2023.10193672","DOIUrl":"https://doi.org/10.1109/I2CACIS57635.2023.10193672","url":null,"abstract":"Filipino Sign Language (FSL) is a distinctive form of sign language with its own set of pose, gestures, and grammar, which can cause a challenge in terms of identifying it. Earlier researches have identified three categories of sign language recognition methods, these are the gloves-based, vision-based and hybrid. Existing studies are only limited to recognizing static FSL and only include limited phrases or words for dynamic FSL recognition. Since the existing studies for dynamic FSL are only capable of recognizing limited words and phrases, this could limit the communication. Thus, adding more phrases or words for dynamic FSL recognition is significant. The objective of this study is to create a FSL recognition model using Long Short-term Memory and MediapPipe Holistic pipeline. A recurrent neural network type called Long Short-Term Memory (LSTM) is capable of recognizing sign language gestures, including FSL, because it can handle long-term dependencies. Using 11,070 sequences, this study trained a model to recognize 24 static Filipino sign languages including alphabets and 17 dynamic Filipino sign languages including common Filipino words, greetings, and phrases. Since a lot of people in the Philippines are not familiar with FSL, this study is useful to improve communication, and making it easier for people who do not understand FSL to understand Filipino deaf or speech impaired people in a certain communication. The recognition model produced by the proponents achieved a 99.72% model accuracy score using MediaPipe and LSTM, and can accurately detect and interpret static and dynamic Filipino sign language gestures in real-time.","PeriodicalId":244595,"journal":{"name":"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123567329","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

Towards Personalized Medication Management: A Novel Approach to Medication Reminder Using Wearable Sensors and IoT 迈向个性化药物管理:使用可穿戴传感器和物联网的药物提醒新方法

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193547

Alfredo V. Atienza, Lorissa Joana E. Buenas, Froilan G. Destreza

{"title":"Towards Personalized Medication Management: A Novel Approach to Medication Reminder Using Wearable Sensors and IoT","authors":"Alfredo V. Atienza, Lorissa Joana E. Buenas, Froilan G. Destreza","doi":"10.1109/I2CACIS57635.2023.10193547","DOIUrl":"https://doi.org/10.1109/I2CACIS57635.2023.10193547","url":null,"abstract":"This study proposed a novel approach to personalized medication management using wearable sensors and IoT (Internet of Things) technology. The aim is to develop a medication reminder system that is tailored to the individual needs of patients, taking into account their specific medication schedules and dosages. The system uses wearable sensors to monitor the patient’s medication intake and sends reminders via a mobile application. The device is composed of an alarm system, six pill compartments, sensors, and microcontrollers. The study aimed to determine the technical specifications and dimensions of the design, the reliability of distance connectivity, the functionality of the alarm system, and the level of functionality of the offline webpage. The study followed the Engineering Design Process, and the results showed that the design project is a portable and low-cost automatic medicine reminder kit made up of lightweight materials. The distance connectivity of the belt alarm was reliable, and the offline webpage functioned well. The proposed approach has the potential to improve medication adherence, reduce medication errors, and enhance patient outcomes. This study presents a proof-of-concept demonstration of the proposed system and discusses the feasibility and potential benefits of this approach.","PeriodicalId":244595,"journal":{"name":"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125189507","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

International Timetabling Competition 2019: A Systematic Literature Review 2019年国际课程表竞赛:系统文献综述

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193383

Sina Abdipoor, R. Yaakob, Say Leng Goh, Salwani Abdullah, K. A. Kasmiran, H. Hamdan

引用次数: 0

Multiple Face Mask Scanner as an Innovation for Implementing Health Protocols 多重面罩扫描仪是实施健康规程的创新之举

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193576

Honeylet D. Grimaldo, John Alvien S. Gomez, Kyle Timothy A. Guarin, Rolan Gene U. Mangi, Jerzy Jex T. Quino, Reynaldo C. Muli, Jorge Z. Burgos, Jaime M. Landingin

引用次数: 0

Automated People Counter for Restricted Capacity Monitoring on Philippine Public Utility Bus 菲律宾公共汽车限制容量监测的自动人流计数器

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10192965

John Neil M Chan, M. L. Guico, Carlos Gabriel P De Guzman, J. K. Galicia

{"title":"Automated People Counter for Restricted Capacity Monitoring on Philippine Public Utility Bus","authors":"John Neil M Chan, M. L. Guico, Carlos Gabriel P De Guzman, J. K. Galicia","doi":"10.1109/I2CACIS57635.2023.10192965","DOIUrl":"https://doi.org/10.1109/I2CACIS57635.2023.10192965","url":null,"abstract":"The ability to inform transportation businesses and regulatory bodies about the demand for transportation services and how resources may be best deployed to meet this need is strategic to resource allocation and planning of national transportation system. Case in point, the pandemic has forced the government to reevaluate the number of utility buses and its ridership and implement various restrictions and regulations within society. One of the restrictions that is often affected is the seating capacity for Public Utility Vehicles. This study provides a proof of concept to an easier and more efficient way to be able to monitor capacity in a Public Utility Bus through the use of a people counter. Photoelectric sensors will be used to monitor the number of people entering and exiting the bus with information being uploaded to ThingSpeak while also being displayed onboard using an LCD. The system is capable of bi-directional counting through the use of two pairs of sensors and will work most accurately when the sensor pairs are at a distance of at least 12 cm from each other and passengers will board and depart in intervals of one second or greater.","PeriodicalId":244595,"journal":{"name":"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115413224","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

Multi-robot Path Planning using Modified Particle Swarm Optimization 基于改进粒子群算法的多机器人路径规划

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193290

Yi Ler Poy, Shalini Darmaraju, Ban-Hoe Kwan

{"title":"Multi-robot Path Planning using Modified Particle Swarm Optimization","authors":"Yi Ler Poy, Shalini Darmaraju, Ban-Hoe Kwan","doi":"10.1109/I2CACIS57635.2023.10193290","DOIUrl":"https://doi.org/10.1109/I2CACIS57635.2023.10193290","url":null,"abstract":"Multi-robot path planning in a shared environment is a critical research area in robotics. The objective is to find a collision-free path for each robot to reach its destination while optimizing various performance metrics. This paper proposes a novel multi-robot path planning algorithm based on Modified Particle Swarm Optimization (MPSO). The proposed MPSO algorithm introduces a new path planning scheme for determining the robot’s waypoints. Unlike the standard PSO algorithm, which initializes the particle swarm at the robot’s starting position and iteratively determines each waypoint until a completed path is generated, the MPSO algorithm initializes the particle swarm within a predefined search space and searches for the global best position within it to determine a specific robot waypoint through iteration updates. Moreover, a combination of global and local path planning methods is introduced to cope with a dynamic environment. The PSO algorithm functions as a global path planner, determining the complete path for each robot, whereas an obstacle avoidance algorithm serves as a local planner to avoid collision with dynamic obstacles during navigation. This study compares the performance of MPSO with normal PSO using MATLAB simulations in two scenarios. The results demonstrate MPSO’s superiority in terms of total path length and execution time.","PeriodicalId":244595,"journal":{"name":"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116184189","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

Benchmark of State-of-the-art Methods for Plantation Object Identification and Counting 种植园目标识别与计数最新方法的基准

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193571

Khor Jian Sheng, Tan Weng Chun

引用次数: 0

Neural Network – based Sensitivity Analysis of the Factors affecting the Solar Photovoltaic Power Output 基于神经网络的太阳能光伏发电出力影响因素敏感性分析

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193378

Jordan N. Velasco, Roel D. Trinidad, Ronnie Z. Ramos, K. L. D. de Jesus

{"title":"Neural Network – based Sensitivity Analysis of the Factors affecting the Solar Photovoltaic Power Output","authors":"Jordan N. Velasco, Roel D. Trinidad, Ronnie Z. Ramos, K. L. D. de Jesus","doi":"10.1109/I2CACIS57635.2023.10193378","DOIUrl":"https://doi.org/10.1109/I2CACIS57635.2023.10193378","url":null,"abstract":"Technological advancements and modernization of different industries and disciplines contributed to more consumption of oil and electricity which powers these industries. Aligned with the United Nations (UN) Sustainable Development Goals (SDG), the use of alternative and renewable energy (RE) sources is encouraged as it allows the utilization of clean energy resources and access of populations in developing countries to electricity and energy. Forecasting and maximizing the harvest for renewable energy requires an understanding of the mechanics behind the variables that impact solar photovoltaic production. 755 datasets were created from 150 days of recorded data and used in the model building and sensitivity analysis. The approach used in this study to identify the variable importance of each meteorological variable to the solar photovoltaic (PV) production was the Garson’s algorithm (GA). In this study, an artificial neural network (ANN)-based sensitivity analysis (SA) using Garson’s algorithm (GA) was implemented to identify the relative importance (RI) of the factors influencing the solar PV output including the solar irradiance (SI), rainfall, maximum temperature (MaT), minimum temperature (MiT), relative humidity (RH), and wind speed (WS). The model also considers the relative significance of these parameters to the solar PV output. Results indicate that, with a relative value of 29.48% and 5.01%, respectively, solar irradiance and wind speed are the most and least important factors.","PeriodicalId":244595,"journal":{"name":"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124879563","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 Great Deluge Algorithm for University Course Timetabling 大学课程排课的大洪水算法

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193339

Zi Xuan Loke, Say Leng Goh, J. Mountstephens, Jonathan Likoh

引用次数: 0