2022 7th International Conference on Business and Industrial Research (ICBIR)最新文献_第8页

Comparison of Neural Network Models for LDA Inferring LDA推理的神经网络模型比较

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786386

Sarunyoo Srivichitranond, R. Saga

{"title":"Comparison of Neural Network Models for LDA Inferring","authors":"Sarunyoo Srivichitranond, R. Saga","doi":"10.1109/ICBIR54589.2022.9786386","DOIUrl":"https://doi.org/10.1109/ICBIR54589.2022.9786386","url":null,"abstract":"One of the most reliable methods to find topics for a document is Latent Dirichlet Allocation (LDA) which is a generative statistical model, but with the growing amount of data, this method can be time consuming. This problem can be solved by utilizing neural network to learn from LDA and train model for faster processing time. This study aims to inspect further on how accurate different neural network models can be when learn from LDA. The neural network models that are used to compare in this work are dense neural network (DNN), recurrent neural network (RNN), long short-term memory (LSTM), gated recurrent unit (GRU), bidirectional LSTM (BiLSTM), and bidirectional GRU (BiGRU). From the experiment, it shows that BiGRU and RNN are good alternative to learn from LDA when compare to DNN, RNN has the best test accuracy on 15 topics at 0.8833, comparing to Dense 3 at 0.8807, Dense 2 at 0.8798, and BiGRU at 0.8767, while BiGRU has the best test accuracy on 20 topics at 0.8727, comparing to Dense 2 at 0.8704, RNN at 0.8664, and Dense 3 at 0.8642. If the topic is more than 35 topics, Dense 2 outperform other techniques including Dense 3 as well.","PeriodicalId":216904,"journal":{"name":"2022 7th International Conference on Business and Industrial Research (ICBIR)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130023818","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 Irrigation Control System for Vineyard Based on LoRa Wireless Communication and Dynamic Neural Network 基于LoRa无线通信和动态神经网络的葡萄园灌溉控制系统设计

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786439

Lixin Lyu, Jonathan M. Caballero, Ronaldo Juanatas

{"title":"Design of Irrigation Control System for Vineyard Based on LoRa Wireless Communication and Dynamic Neural Network","authors":"Lixin Lyu, Jonathan M. Caballero, Ronaldo Juanatas","doi":"10.1109/ICBIR54589.2022.9786439","DOIUrl":"https://doi.org/10.1109/ICBIR54589.2022.9786439","url":null,"abstract":"In grape cultivation, precise irrigation control systems can improve the yield and taste of grapes and enhance the efficiency of water use. A drip irrigation control system, based on LoRa remote wireless technology, and a dynamic neural network, is designed in this paper. Lora remote wireless communication terminal, which can connect sensors or control devices, such as soil temperature, digital flow meter, and so on, at the same time, can be remote control such as pumps, water valves, and other equipment operation. A prediction model was established using the Long Short-Term Memory Network (LSTM) which is a class of the Recurrent Neural Network (RNN). The trained model uses past soil moisture, precipitation and climate measurements to predict the moisture content of vineyard soils based on a pre-set amount of time, thereby calculating the amount of irrigation and determining the timing of irrigation. According to the training results of the model, the root mean square error (RMSE) is $0.116 sim0.171$, the range of R2 is $0.941 sim0.986$, and the range of mean absolute error (MAE) is $0.071 sim0.081$. For predicting water content at different soil depths, R2>0.9 shows good model performance and prediction effect. The system has good working stability, high prediction accuracy, and slight deviation. The planter can apply it to the irrigation of large, medium, and small-scale grape plantations in the actual planting environment. Compared with the traditional irrigation control system, advanced irrigation methods can be realized, improving the irrigation rate and saving irrigation water.","PeriodicalId":216904,"journal":{"name":"2022 7th International Conference on Business and Industrial Research (ICBIR)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128916832","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

Impact of Research and Development on The Gdp Growth Rate of Nations: Evidence Using Panel Data 研究与发展对各国Gdp增长率的影响:使用面板数据的证据

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786420

Darshan Gaidhani, Nishanth Nair, Saniket Jadhav, Shailesh Rastogi, Venkata Mrudula Bhimavarapu

引用次数: 1

The Factors of Chinese Consumer’s Perception, Consumer’s Emotional Attitude and Consumer’s Motivation to Luxury Brand Affecting Consumer Purchasing Behavior: Take Wuhan Consumers as an Example 中国消费者对奢侈品牌的认知、情感态度和动机影响消费者购买行为的因素——以武汉消费者为例

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786460

Ruoxian Ying, Sumana Theerakittikul

{"title":"The Factors of Chinese Consumer’s Perception, Consumer’s Emotional Attitude and Consumer’s Motivation to Luxury Brand Affecting Consumer Purchasing Behavior: Take Wuhan Consumers as an Example","authors":"Ruoxian Ying, Sumana Theerakittikul","doi":"10.1109/ICBIR54589.2022.9786460","DOIUrl":"https://doi.org/10.1109/ICBIR54589.2022.9786460","url":null,"abstract":"This study aims to examine the impact of factors influencing Chinese consumers’ attitudes towards luxury brands on their purchasing behaviour. The three independent variables of this study are (1) Consumers’ Perceptions, (2) Consumers’ emotional attitudes, and (3) Consumers’ motivation factors. The sub-variables of perception of brand factors include (1.1) Brand awareness, (1.2) Brand quality, (1.3) Brand service. The sub-variables of emotional attitude of luxury brand include (2.1) Consumers’ attention to the brand, (2.2) Consumers’ attention to the brand, and (2.3) Consumer loyalty to the brand. The sub-variables of consumers’ motivation factors include (3.1) self-satisfaction, (3.2) psychology. The dependent variable of this study is consumer’s attitude toward luxury brand on their purchasing behavior. The reliability test was conducted with a volunteer sample group of 386 respondents. The respondent’s occupation include student, enterprise employee, white-collar, freelancer and retire. The data analysis methods used were descriptive statistics and multiple linear regression analysis. The results supported all three hypotheses presented, indicating a positive relationship between the independent variables (consumers’ perceptions, consumers’ affective attitudes and consumers’ emotional attitudes) and the dependent variable (consumers’ buying behaviour).","PeriodicalId":216904,"journal":{"name":"2022 7th International Conference on Business and Industrial Research (ICBIR)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121392607","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

Traffic Prediction With a Spectral Graph Neural Network 基于谱图神经网络的交通预测

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786482

Sathita Buapang, V. Muangsin

{"title":"Traffic Prediction With a Spectral Graph Neural Network","authors":"Sathita Buapang, V. Muangsin","doi":"10.1109/ICBIR54589.2022.9786482","DOIUrl":"https://doi.org/10.1109/ICBIR54589.2022.9786482","url":null,"abstract":"Traffic prediction is an essential and challenging task for traffic management and commercial purposes, such as estimating arrival time for delivery services. Machine learning methods for traffic prediction usually treat traffic conditions as time-series due to obvious temporal patterns. Recently, spatial relationships among roads in a road network have also been used to improve traffic prediction. This study proposes a novel method to predict traffic conditions such as speed using a graph convolutional neural network with a spectral adjacency matrix (GCN-Spectral). Unlike a spatial adjacency matrix representing physical connections between road segments, a spectral matrix represents the correlation between road segments in terms of traffic conditions. The GCN-Spectral model is evaluated by comparing with a multi-layer perceptron model (MLP), as a non-spatial model, and a graph convolutional neural network with a spatial adjacency matrix (GCN-Spatial). The data used in this study are GPS probe data collected from taxis in Bangkok. Empirical results show that the GCN-Spectral with a combination matrix model mostly outperforms GCN-Spatial models in the Bangkok dataset. However, MLP performs the best in most cases.","PeriodicalId":216904,"journal":{"name":"2022 7th International Conference on Business and Industrial Research (ICBIR)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122701534","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 Numerical Study of Model Output for Whole-Body Vibration on Varying Wheelchair Cushions 轮椅坐垫全身振动模型输出的数值研究

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786432

Pongtep Weerapong, K. Hashikura, Md Abdus Samad Kamal, Kou Yamada

引用次数: 0

The Influence of Information Quality, System Quality, Service Quality Towards Customer Satisfaction and Trust and Their Impact Towards Finpay Money Continuous Use Intention 信息质量、系统质量、服务质量对顾客满意和信任的影响及其对Finpay货币持续使用意愿的影响

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786416

Evita Panca Ludwina, Hesty Dimastuty, Wisnu Despina, Yuniarty

{"title":"The Influence of Information Quality, System Quality, Service Quality Towards Customer Satisfaction and Trust and Their Impact Towards Finpay Money Continuous Use Intention","authors":"Evita Panca Ludwina, Hesty Dimastuty, Wisnu Despina, Yuniarty","doi":"10.1109/ICBIR54589.2022.9786416","DOIUrl":"https://doi.org/10.1109/ICBIR54589.2022.9786416","url":null,"abstract":"E-money service usage in Indonesia has been growing in recent years as a new alternative for micro digital payment all transactions, especially e-business. PT Finnet Indonesia as a subsidiary of PT Telkom Indonesia that has Finpay Money App as a means of payment that customers can use in Indonesia. The objectives of this research analysis are information quality, system quality, service quality towards customer satisfaction and trust, and their impact towards Finpay Money continuous use intention in PT Finnet Indonesia, taking into account the critical factors for the success of the project e-business. The theoretical results associated with the previous literature determine the payment mobile payment cognitive and affective perspective by collecting 167 respondent app users Finpay Money sampling and questionnaire. The analysis used structure Modeling (SEM) and was tested empirically using Partial Square (PLS). This study helps the company PT Finnet Indonesia increase user satisfaction and the impact on the purpose of the use of the funds ongoing Users to design a strategy design business ebusiness and marketing right.","PeriodicalId":216904,"journal":{"name":"2022 7th International Conference on Business and Industrial Research (ICBIR)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117168949","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

DDoS Attack Detection Using Ensemble Machine Learning Models with RFE Algorithm 基于RFE算法的集成机器学习模型的DDoS攻击检测

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786423

Tanut Visetbunditkun, W. Srichavengsup

引用次数: 3

Interviewing Young Thai Adults About Changes in Brand Consumption During Covid-19 Lockdowns 采访泰国年轻人，了解新冠肺炎封锁期间品牌消费的变化

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786418

Yuzhuo Wen

引用次数: 0

The Effect of Online Marketplace’ Specific Attributes and Neuroticism on Trust, E-Satisfaction and Local Skincare’ Repurchase Intention 网络市场特定属性和神经质对信任、电子满意度和本地护肤品再购买意愿的影响

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786415

Renny Kurniasari, Eriska Triana Primayasari, Yuniarty

引用次数: 0