2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)最新文献_第9页

Internet-of-Things for Smart Dryers: Enablers, State of the arts, Challenges, and Solutions 智能烘干机的物联网:推动因素、技术现状、挑战和解决方案

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936770

Mohd Khairulanwar Rizalman, E. Moung, J. Dargham, Z. Jamain, N. M. Yaakub, S. Omatu

引用次数: 1

Factors Affecting Customer Loyalty on Starbucks Malaysia using Binary Logistics and Probit Model 二元物流与Probit模型对马来西亚星巴克顾客忠诚度的影响因素

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936751

Ng Tze Ling, Mohd Saifullah Rusiman, S. Suparman, F. Hamzah, Nur Ain Ebas

{"title":"Factors Affecting Customer Loyalty on Starbucks Malaysia using Binary Logistics and Probit Model","authors":"Ng Tze Ling, Mohd Saifullah Rusiman, S. Suparman, F. Hamzah, Nur Ain Ebas","doi":"10.1109/IICAIET55139.2022.9936751","DOIUrl":"https://doi.org/10.1109/IICAIET55139.2022.9936751","url":null,"abstract":"Coffee culture is growing in popularity among Malaysians. Starbucks was up against a lot of competition in Malaysia because of the growing number of coffee brands and cafes. Hence, this study aims to identify the significant variables towards customer loyalty at Starbucks Malaysia. Secondary data were used in this study and it consist of 113 respondents in Malaysia with various independent variables. The R software was used to analyse the data. Binary logistics regression and probit model were applied for analyzing the data. In overall, there was 79.60% of respondents remain loyal to Starbucks. This study revealed that there were 8 significant variables in binary logistic models and 3 significant variables in probit model that affect customer loyalty. Lastly, this study indicated that binary logistic model performed better than probit model as its Akaike Information Criteria (AIC) value is lower and higher percent of accuracy. This study can aid the management team of Starbucks to explore more information on these variables to increase customer loyalty.","PeriodicalId":142482,"journal":{"name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"1 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":"130408562","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

Online Courier Management System with Text Blast and QR Code Technology 基于文本爆炸和二维码技术的在线快递管理系统

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936809

Alfio I. Regla, Bryan G. Dadiz

{"title":"Online Courier Management System with Text Blast and QR Code Technology","authors":"Alfio I. Regla, Bryan G. Dadiz","doi":"10.1109/IICAIET55139.2022.9936809","DOIUrl":"https://doi.org/10.1109/IICAIET55139.2022.9936809","url":null,"abstract":"Commonly people move from one place to another for some significant reasons. The usual demand is the service that can support the delivery of packages, goods, and documents from the sender's location to a particular destination. Courier services support these processes and enable speedy and efficient delivery. However, transactions monitoring, hiding customers' information, and notification about the status of packages like arrival date and time to the destination branch are practical situations that need to improve the service. This study aims to develop a courier service management system to manage and monitor the package; employ a QR Code technology to secure customers' information, and design a system that integrates a text blast technology for customers' notification about updates to their package. The courier management system with QR Code and Text blast technology can potentially improve the existing transaction processing of the courier firms in Romblon, Philippines. The unit testing results indicate that all the designed modules are 100% working as expected. Using the Technology Acceptance Model or TAM construct can successfully perform software evaluation to gather the level of adaptation among the respondents that gained a grand mean score of 4.24, which is interpreted as Very High.","PeriodicalId":142482,"journal":{"name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"71 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":"129243486","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

Prediction of Maximum Temperatures by Time Series and Artificial Neural Networks (Case Study: Isfahan Station) 基于时间序列和人工神经网络的最高气温预测(以伊斯法罕站为例)

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936840

M. Heydari, Hamed Benisi Ghadim, M. Salarian

{"title":"Prediction of Maximum Temperatures by Time Series and Artificial Neural Networks (Case Study: Isfahan Station)","authors":"M. Heydari, Hamed Benisi Ghadim, M. Salarian","doi":"10.1109/IICAIET55139.2022.9936840","DOIUrl":"https://doi.org/10.1109/IICAIET55139.2022.9936840","url":null,"abstract":"Due to climate changes, global warming, and the recent drought, forecasting, checking, and analyzing maximum temperatures as one of the foremost imperative climatic parameters allows planners to plan and provide the necessary arrangements. The main reasons for checking the temperature as a parameter influencing nature are agriculture, pests, diseases, melting ice and flooding, evaporation and transpiration, and drought. Today, artificial neural networks are used to predict time series like temperature because of their feature for understanding the random mechanism of fully nonlinear and complex series. This study used data from 1953 to 2005, two methods, and multi-layer perceptron artificial neural networks with the learning algorithm after the error propagation to analyze and check the monthly maximum temperature. This issue used an input layer, five hidden layers of TANSIG, and an output layer of the pure line for artificial neural networks. The mean squared error criterion was also used to assess the results. In the following study, 70% of the total data were used as training data (RMSE = 1.8622 and MSE = 3.4677); in order to avoid the phenomenon of the over-load network, 15% of the data were used for validation data (RMSE = 1.7667 and MSE = 3.1213). The remaining 15 percent has also been used to check and test data. (RMSE = 2.134 and MSE = 4.5538). A comparison of monthly maximum temperature forecast results for 1953 and 2005 with observed data shows good agreement of the model. The overall results indicate that approximately every 64 years will add a degree to the temperature.","PeriodicalId":142482,"journal":{"name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"124 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":"123249849","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 Small Scale COVID-19 Diagnosis Program: A Philippine Perspective 小型COVID-19诊断项目:菲律宾视角

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936822

R. Baldovino, Justin Bernard A. Carlos

{"title":"A Small Scale COVID-19 Diagnosis Program: A Philippine Perspective","authors":"R. Baldovino, Justin Bernard A. Carlos","doi":"10.1109/IICAIET55139.2022.9936822","DOIUrl":"https://doi.org/10.1109/IICAIET55139.2022.9936822","url":null,"abstract":"The world is still currently facing a pandemic. In the Philippines, the number of cases is rapidly rising. Since there is yet a cure to be found, the best cure to such is prevention such as being aware of the adverse effects that it has on people along with the symptoms commonly felt by those who have the disease. Constant sanitation is also necessary to kill the bacteria causing the disease before it even has the chance to spread throughout the human body. In this research, a small scale AI program that could diagnose a person with the probability of having the disease was developed. Theprogram used patients' symptoms who have the disease, along with the corresponding severities of such, as input. Fuzzy logic was used in developing the program through the development and integration of a fuzzy inference system (FIS). Moreover, the testing accuracy of the proposed system was 70.83% which was based on the number of diagnoses that produced a medium or high verdict of a patient contracting the virus. The inputs for such diagnoses were the symptoms felt by confirmed COVID-19 patients along with their corresponding severities which were obtained from the data set acquired containing information regarding COVID-19 patients in the Philippines. Additionally, MATLAB was the software used to develop both the program and the FIS.","PeriodicalId":142482,"journal":{"name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"8 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":"123362141","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

Detection of Forged Handwriting Through Analyzation of Handwritten Characters Using Support Vector Machine 基于手写字符分析的支持向量机伪造笔迹检测

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936769

Ma. Crisanta Q. Jasmin, Mark Jayson F. Dela Cruz, A. Yumang

引用次数: 0

Improved Performance in Distributed Estimation by Convex Combination of DNSAF and DNLMS Algorithms 基于DNSAF和DNLMS算法凸组合的分布式估计性能改进

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936845

Ahmad Pouradabi, A. Rastegarnia, A. Khalili, A. Farzamnia

引用次数: 0

Efficient Spectrum Allocation in Cognitive Radio using Yellow Saddle Goatfish Algorithm 基于黄鞍山羊鱼算法的认知无线电频谱高效分配

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936873

Debashree Brahma, Swati Swayamsiddha, G. Panda

{"title":"Efficient Spectrum Allocation in Cognitive Radio using Yellow Saddle Goatfish Algorithm","authors":"Debashree Brahma, Swati Swayamsiddha, G. Panda","doi":"10.1109/IICAIET55139.2022.9936873","DOIUrl":"https://doi.org/10.1109/IICAIET55139.2022.9936873","url":null,"abstract":"Spectrum shortage and spectrum scarcity are the burning issues in wireless communication. To overcome these challenges, Cognitive Radio Networks (CRNs) can be deployed as an alternative technology to gainfully employ the underutilized radio spectrum of licensed users. In the current research work, multi-objective optimization based approaches are introduced for spectrum allocation in CRNs by minimizing interference, maximizing throughput, and improving network efficiency. Several constraints such as ambient noise, power transmission, and interference have been taken into consideration for equitable channel assignment to secondary users. Total network utilization and average capacity of secondary users are simultaneously optimized using multi-objective particle swarm optimization (MOPSO), multi-objective differential evolution (MODE), and non-sorting genetic algorithm (NSGA-II). The multiobjective optimization based spectrum allocation models have been simulated in a MATLAB environment and the obtained results are compared with a recently proposed yellow saddle goatfish algorithm (MOYSGA). The simulation results demonstrate that, total network capacity is inversely proportional to the average capacity of secondary users and further, the proposed approach provides fair channel allocation and optimal power to secondary users (SUs) under both the downlink and the uplink cases.","PeriodicalId":142482,"journal":{"name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"5 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":"126491561","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

Design and Analysis of Portable Solar Powered Refrigerator Unit 便携式太阳能制冷机组的设计与分析

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936824

Y. M. Yusof, Murizah Kassim, W. Shuhaimi

{"title":"Design and Analysis of Portable Solar Powered Refrigerator Unit","authors":"Y. M. Yusof, Murizah Kassim, W. Shuhaimi","doi":"10.1109/IICAIET55139.2022.9936824","DOIUrl":"https://doi.org/10.1109/IICAIET55139.2022.9936824","url":null,"abstract":"Portable solar powered refrigerator unit today is important due to transmission of clinical samples to many broad areas. Some medical samples are kept in a cooler box for a short term for sampling by health staff. The drawback of the box is that it always needs a lot of ice cubes for active coolant until the ice melted. Places that have no access to electricity will damage the samples due to the box is not cool anymore. This study has designed a portable solar battery mini fridge that harnesses solar energy for cooling. It is flexible to the existing mini fridge and has enough capacity to supply the load for hours. The design consists of a solar panel to harvest the energy, a battery to keep the energy, a control panel to control its charging and discharging as well as protection measures. Arduino controller is embedded as the control designed system to the temperature sensor, current sensor, and LCD as input and output. Two tests had been carried out for compatibility of a solar system on the mini fridge which is battery charging to PV modules and load testing to the mini fridge. The result shows that the battery was able to supply for more than two hours since 14.29% of the battery is still available before the supply ends. The mini fridge was able to keep on cooling about 16 degrees after 2 hours. This research is significant for portable mini fridge design using a solar battery which lasted longer than 2-hour usage time for medical officers.","PeriodicalId":142482,"journal":{"name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","volume":"75 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":"114221459","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

Sleep-Wake Scheduling Scheme for Small Cell Base Stations: A Review 小蜂窝基站睡眠-觉醒调度方案研究进展

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI: 10.1109/IICAIET55139.2022.9936748

Shwu Chen Charis Kwan, Y. Low, K. Yau

引用次数: 0