2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)最新文献_第8页

Rice (Oryza Sativa) Grading classification using Hybrid Model Deep Convolutional Neural Networks - Support Vector Machine Classifier 使用混合模型深度卷积神经网络-支持向量机分类器的水稻(Oryza Sativa)分级分类

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936869

Kevin Marc A. Bejerano, Carlos C. Hortinela IV, Jessie R. Balbin

{"title":"Rice (Oryza Sativa) Grading classification using Hybrid Model Deep Convolutional Neural Networks - Support Vector Machine Classifier","authors":"Kevin Marc A. Bejerano, Carlos C. Hortinela IV, Jessie R. Balbin","doi":"10.1109/IICAIET55139.2022.9936869","DOIUrl":"https://doi.org/10.1109/IICAIET55139.2022.9936869","url":null,"abstract":"Rice grading plays an essential role in identifying the rice production industry's rice quality method, including its market price. Rice quality is one of the critical selection criteria highly prioritized by farmers and rice consumers, primarily determined by its different rice characteristics. This research paper focuses on developing a hybrid model in classifying rice milled grading: Premium, Grade 1–5 using Raspberry Pi microcomputer based on the physical features extracted such as damaged, discolored, broken, and chalky rice grains present in the sample by integrating the key properties of Deep Convolutional Neural Networks (DCNN) for feature extraction and Support Vector Machine (SVM) as a classifier. An enclosed staging platform with constant and uniform illumination was used for image acquisition with 150 grains per image sample. The proposed model has identified and classified rice grading proficiently and achieved a classification training and validation of 98.33% and 98.75%, respectively.","PeriodicalId":142482,"journal":{"name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129461509","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: 2

Classification of Defects in Robusta Green Coffee Beans Using YOLO 罗布斯塔生咖啡豆缺陷的YOLO分类

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936831

Vince Amiel M. Luis, Marc Vincent T. Quiñones, A. Yumang

引用次数: 4

Hand Gesture Recognition for Filipino Sign Language Under Different Backgrounds 不同背景下菲律宾手语的手势识别

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936801

Mark Christian Ang, Karl Richmond C. Taguibao, C. O. Manlises

{"title":"Hand Gesture Recognition for Filipino Sign Language Under Different Backgrounds","authors":"Mark Christian Ang, Karl Richmond C. Taguibao, C. O. Manlises","doi":"10.1109/IICAIET55139.2022.9936801","DOIUrl":"https://doi.org/10.1109/IICAIET55139.2022.9936801","url":null,"abstract":"The article implements a hand gesture Filipino Sign Language recognition model using Raspberry Pi. Numerous studies on Filipino Sign Language (FSL) frequently identify a letter with a glove and using a plain background, which may be challenging if implemented in a more complex background. Limited research on the implementation of YOLO-Lite and MobileNetV2 on FSL were also observed. Implementing YOLO-Lite for hand detection and MobileNetV2 for classification, the average accuracy achieved for differentiating 26 hand gestures, representing FSL letters, was 93.29%. The model demonstrated dependability in a variety of complex backgrounds. However, challenges in recognizing letters Q, J, and Z were encountered. Additionally, in letters N and M, due to their similar hand structures, N is sometimes mistakenly interpreted as M. The model developed by the researchers performed well and demonstrated better accuracy compared to a different model. The system was able to achieve higher accuracy while running on limited resources and in various environments.","PeriodicalId":142482,"journal":{"name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125355690","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: 4

Energy Saving And Safety Street Lighting System 节能安全路灯照明系统

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936779

Yi Hang, N. Jali, Lau Sei Ping, W. Cheah, S. K. Jali, Phei-Chin Lim

{"title":"Energy Saving And Safety Street Lighting System","authors":"Yi Hang, N. Jali, Lau Sei Ping, W. Cheah, S. K. Jali, Phei-Chin Lim","doi":"10.1109/IICAIET55139.2022.9936779","DOIUrl":"https://doi.org/10.1109/IICAIET55139.2022.9936779","url":null,"abstract":"Today, vast amounts of energy are required to power streetlights. Also, the death caused by accidents due to the blockage of the vehicle on the road is increasing especially on the highway. Thus, this paper aims to assemble an intelligent system that implies an automatic switch for detecting vehicle passage with keeping the existing system. Besides, this system uses solar energy to generate free electric energy through the natural resource that our country has gifted sunlight. Besides building an energy-saving system, a safety feature is also one of the aspects considered. This is done by utilising the sensors inserted in the streetlight system and a collaboration between the hardware and coding. By having this safety feature, any blockage due to a car crash or vehicles' break happening at a certain distance in front will activate the hazard warning function in the system while sending a notification to the streetlight management department. This gives the drivers enough time to slow down the vehicles instead of on-the-spot emergency breaks. On the one hand, this system lowers the electricity consumption and increases the safety of the road system.","PeriodicalId":142482,"journal":{"name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121973493","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

Energy-Efficient Ant Colony Based LEACH Routing Algorithm in Wireless Sensor Network 基于高效蚁群的无线传感器网络LEACH路由算法

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936851

Muhammad Zahir Abd Latif, Kit Guan Lim, M. K. Tan, H. S. Chuo, Tienlei Wang, K. Teo

{"title":"Energy-Efficient Ant Colony Based LEACH Routing Algorithm in Wireless Sensor Network","authors":"Muhammad Zahir Abd Latif, Kit Guan Lim, M. K. Tan, H. S. Chuo, Tienlei Wang, K. Teo","doi":"10.1109/IICAIET55139.2022.9936851","DOIUrl":"https://doi.org/10.1109/IICAIET55139.2022.9936851","url":null,"abstract":"Wireless sensor network (WSN) is a network consist of multiple sensor nodes which sense and transmit data to a base station for data collection. Since the nodes in WSN are battery powered devices and nodes loss energy mostly due to transmission, an energy efficient routing protocol is needed to reduce the nodes energy consumption and prolong the network lifetime. However, existing routing protocols produce some drawbacks such as selection of cluster head with low residual energy and formation of different sizes of cluster which leads to uneven energy consumption among the nodes. Therefore, an Ant Colony Optimization based Low Energy Adaptive Clustering Hierarchy (LEACH-ACO) protocol for energy efficient transmission in WSN is proposed in this paper. This research aims to develop a routing protocol that utilize the existing LEACH routing protocol to improve the performance of WSN and prolong the lifetime of the network. The results showed that LEACH-ACO protocol outperformed Direct Transmission (DT) and LEACH protocol in terms of network lifetime, energy consumption and energy per transmission.","PeriodicalId":142482,"journal":{"name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122594428","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 Real-Time Approach to Classify the Water Quality of the River Ganga at Mehandi Ghat, Kannuaj 恒河Mehandi Ghat水质的实时分类方法

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936820

Abhishek Bajpai, Srishti Chaubey, B. Patro, Abhineet Verma

引用次数: 0

On-Demand Priority Traffic Optimizer with Fuzzy Logic Microcontroller 基于模糊逻辑微控制器的按需优先流量优化器

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936827

H. S. Chuo, Yee En Seah, M. K. Tan, Kit Guan Lim, C. F. Liau, K. Teo

{"title":"On-Demand Priority Traffic Optimizer with Fuzzy Logic Microcontroller","authors":"H. S. Chuo, Yee En Seah, M. K. Tan, Kit Guan Lim, C. F. Liau, K. Teo","doi":"10.1109/IICAIET55139.2022.9936827","DOIUrl":"https://doi.org/10.1109/IICAIET55139.2022.9936827","url":null,"abstract":"Current traffic control system in Malaysia is developed based on predetermined setup, where the system is not able to analyse the surrounding condition to optimize the green time. When there is an unusual traffic flow, the control system fails to control traffic flow efficiently, causing delays and requiring the assistance of traffic police. The main objective of this project is to explore the potential of fuzzy logic embedded control system in optimizing the traffic congestion corresponding to the priority traffic signal. The developed real time traffic-adaptive control system operates by prioritising the green light based on the received priority signals such as high flow rate phases and the emergency vehicles. A microcontroller-based traffic controller with computed algorithm was developed. The performance of the controller in reducing average waiting time and average vehicle queue length at a traffic intersection was evaluated. In overall, Fuzzy Logic managed to reduce 23% of average waiting time and 11% of average vehicles in queue at the intersection as compared to the conventional control.","PeriodicalId":142482,"journal":{"name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125796811","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

Comparison of Dark Channel Prior and Contrast Limited Histogram Equalization for the Enhancement of Underwater Fish Image 暗通道先验和对比度限制直方图均衡化对水下鱼类图像增强的比较

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936796

M. Hijazi, Leong Jing Mei

引用次数: 0

A new face image manipulation reveal scheme based on face detection and image watermarking 一种新的基于人脸检测和图像水印的人脸图像处理揭示方案

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936838

Zahraa Aqeel Salih, R. T. Mohammed, Khamis A. Zidan, B. Khoo

{"title":"A new face image manipulation reveal scheme based on face detection and image watermarking","authors":"Zahraa Aqeel Salih, R. T. Mohammed, Khamis A. Zidan, B. Khoo","doi":"10.1109/IICAIET55139.2022.9936838","DOIUrl":"https://doi.org/10.1109/IICAIET55139.2022.9936838","url":null,"abstract":"Face image manipulation (FIM) algorithms and applications are increasing and distributing rapidly. Nowadays, one can easily find an application to manipulate face images for different purposes. After the development and popularity of “DeepFakes”, the research community highlighted the necessity of implementing new detection techniques that can reveal FIM. The available FIM detection techniques have different limitations and most of the presented schemes require a prior knowledge of the FIM method that has been applied to generate the manipulated face image which makes them restricted. In this paper, we present a new face image manipulation reveal (FIMR) scheme based on face detection algorithm and image watermarking technique in the transform domain. The proposed scheme does not need a prior knowledge of the FIM method thus it can reveal different types of FIM. Experiments have been conducted to evaluate the performance of the proposed FIMR scheme for face images with different sizes. The results proved that the proposed scheme can successfully reveal different manipulation attacks such as face swap, expression swap, attribute attacks, retouching attacks, and morphing attacks.","PeriodicalId":142482,"journal":{"name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131669862","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 Real-Time Web-Based Monitoring System for Stingless Bee Farming 一种基于网络的无刺养蜂实时监测系统

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936841

Bill Acherllys Jailis, A. Kiring, H. T. Yew, L. Barukang, Y. Y. Farm, F. Wong

{"title":"A Real-Time Web-Based Monitoring System for Stingless Bee Farming","authors":"Bill Acherllys Jailis, A. Kiring, H. T. Yew, L. Barukang, Y. Y. Farm, F. Wong","doi":"10.1109/IICAIET55139.2022.9936841","DOIUrl":"https://doi.org/10.1109/IICAIET55139.2022.9936841","url":null,"abstract":"The low yields in stingless honeybee production have impacted the daily earnings of small size farmers. The IoT-based monitoring system is presented to improve the earnings of stingless bee farmers by helps farmers to gain a better under-standing of their farm and boost honey production. The system uses an Arduino Uno ATmega328P and DHT22 sensor to monitor the temperature and humidity inside the hive continuously and transmit the data wirelessly to a server for monitoring and analysis. Furthermore, 30 days of practical monitoring indicates that the system can operate without human intervention and was successfully observed the living condition inside the stingless beehive. Data is collected every 30 minutes for 30 days by the sensor and stored in the cloud. The temperature inside the hive has to be maintain not exceeding 35°C and the humidity level is proposed to be not exceeding 78% to achieve optimal living condition for stingless beehives. The system can be extended with multiple sensors to allow farmers make informed decisions on the condition and activity within the beehive.","PeriodicalId":142482,"journal":{"name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130813745","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