2018 7th International Conference on Industrial Technology and Management (ICITM)最新文献_第8页

Analysis on the characteristics of collaborative knowledge construction in teacher workshop 教师工作坊协同知识建构的特点分析

2018 7th International Conference on Industrial Technology and Management (ICITM) Pub Date : 2018-03-01 DOI: 10.1109/ICITM.2018.8333980

Xiaomei Feng, Qingtang Liu, Jiaojiao Zhu, Ni Zhang

{"title":"Analysis on the characteristics of collaborative knowledge construction in teacher workshop","authors":"Xiaomei Feng, Qingtang Liu, Jiaojiao Zhu, Ni Zhang","doi":"10.1109/ICITM.2018.8333980","DOIUrl":"https://doi.org/10.1109/ICITM.2018.8333980","url":null,"abstract":"The teacher workshop is the platform of the teacher network training proposed by the Ministry of Education. Teachers conduct online training on the platform and repeated classroom teaching. And then they exchange teaching experience and learning outcomes. Finally, they complete the learning skills and knowledge of the common construction. This paper selects the example of teacher workshops, and analyzes the static and dynamic characteristics of the textual information published by the training teachers on the platform through content analysis to understand the current level of knowledge construction of teacher groups. The study found that teacher discussions in teacher workshops focused on sharing information and comparing views, and group knowledge construction ability is relatively low. In addition, through the timing analysis. WE found that teachers' group knowledge construction more often stayed in the early stages of learning, and the interaction time was quite short. In general, the overall level of teacher's collaborative knowledge construction was low. Finally, the research results are analyzed and discussed. Combining with the teaching practice, the improvement strategy is put forward according to the existing problems.","PeriodicalId":341512,"journal":{"name":"2018 7th International Conference on Industrial Technology and Management (ICITM)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116985160","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

Value stream analysis of Riceberry rice's supply chain in Thailand 泰国米莓米供应链价值流分析

2018 7th International Conference on Industrial Technology and Management (ICITM) Pub Date : 2018-03-01 DOI: 10.1109/ICITM.2018.8333935

W. Wattanutchariya, T. Kuaites

{"title":"Value stream analysis of Riceberry rice's supply chain in Thailand","authors":"W. Wattanutchariya, T. Kuaites","doi":"10.1109/ICITM.2018.8333935","DOIUrl":"https://doi.org/10.1109/ICITM.2018.8333935","url":null,"abstract":"Rice is the staple food in many Asian countries, especially Thailand. Riceberry rice is one of the most popular rice varieties in Thailand which has been given more attention by Thai consumers because it is rich in antioxidants and has high nutrition content. This research study aims to analyze the related activities of Riceberry rice's supply chain to conduct a comparison study of its performance based on three major cultivation regions. Value stream mapping analysis was applied to identify and compare the activities of the Riceberry rice supply chain by collecting data regarding the supply chain process using site visit, observation, and interview, starting with the farmer, the rice mill operator, and the seller or distributor. The ECRS technique was employed to suggest a new approach that can improve the logistic performance of the Riceberry rice supply chain. The result showed that the cycle time ratio of value-added and non-value-added activities in the Riceberry rice supply chain in the northern, central, and northeastern parts of Thailand are 92.29%:7.71%; 88.48%:11.52%, and 89.05%:10.95%, respectively. Furthermore, why-why analysis and the ECRS technique were implemented to evaluate the root cause of the inefficiency of the process and to recommend approaches for improvement. Finally, a recommendation was suggested which illustrated that the total cycle time of the Riceberry rice supply chain in the northern, central, and northeastern parts of Thailand could be reduced by 2.59%, 4.51%, and 3.87%, respectively.","PeriodicalId":341512,"journal":{"name":"2018 7th International Conference on Industrial Technology and Management (ICITM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126684173","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

Predicting logistics delivery demand with deep neural networks 基于深度神经网络的物流配送需求预测

2018 7th International Conference on Industrial Technology and Management (ICITM) Pub Date : 2018-03-01 DOI: 10.1109/ICITM.2018.8333964

Yao-San Lin, Yaofeng Zhang, I. Lin, Che-Jung Chang

引用次数: 6

Automated blast disease detection from paddy plant leaf — A color slicing approach 水稻叶片稻瘟病的自动检测——一种彩色切片方法

2018 7th International Conference on Industrial Technology and Management (ICITM) Pub Date : 2018-03-01 DOI: 10.1109/ICITM.2018.8333972

Amandeep Singh, M. Singh

{"title":"Automated blast disease detection from paddy plant leaf — A color slicing approach","authors":"Amandeep Singh, M. Singh","doi":"10.1109/ICITM.2018.8333972","DOIUrl":"https://doi.org/10.1109/ICITM.2018.8333972","url":null,"abstract":"In the era of technology, the various industries are shifting from manual to automated solutions of various problems in the hand. Whereas these techniques has not only augmented the efficiency, they also have shortened the cost, time and labor hours required to get an assured excellence. Food Industry now a days is one of the foremost areas smearing these technology aspects. In agriculture the paddy crop of is one of the major crops casing large amount of fields and serving the food necessities. But while in field this crop has to face a lot of problems which include malnutrition and different diseases originated from environmental conditions and pests too. These problems in turn cause a large loss to the produce. An expert advice may be followed on from the agriculture professionals to get rid of such circumstances. But the remote sites has to face the location problems and hence get affected from such issues. So it will be a much better approach if they can be advised by the experts after checking the actual health status of their crop via some technological means without reaching at the place. The idea behind this paper is to develop such an algorithm which can work out for the problem of Blast Disease of paddy crops by just examining the image of plant leaf by the experts along with necessary advice/action. The back bone of the disease detection algorithm is Color Slicing Technique which perceives the diseased spots and damaged proportion of total leaf, making it easy to get advice if disease exists and eliminate it within time so as to avoid losses.","PeriodicalId":341512,"journal":{"name":"2018 7th International Conference on Industrial Technology and Management (ICITM)","volume":"493 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132898649","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: 12

Research on robust optimization in airlines' hybrid channels coordination with random demands 随机需求下航空公司混合渠道协调的鲁棒优化研究

2018 7th International Conference on Industrial Technology and Management (ICITM) Pub Date : 2018-03-01 DOI: 10.1109/ICITM.2018.8333965

H. Rong, Z. Feifei

引用次数: 1

Fuzzy multi-target distribution center location and inventory setting model and simulation solution 模糊多目标配送中心选址与库存设置模型及仿真解决方案

2018 7th International Conference on Industrial Technology and Management (ICITM) Pub Date : 2018-03-01 DOI: 10.1109/ICITM.2018.8333968

Song Xiyang, Ge Peng, Wang Zhiyuan, Liu Zhusheng

引用次数: 1

Monte Carlo, design of experiment, and neural network modeling of basic reproduction number in disease spreading system 蒙特卡罗，实验设计，疾病传播系统基本繁殖数的神经网络建模

2018 7th International Conference on Industrial Technology and Management (ICITM) Pub Date : 2018-03-01 DOI: 10.1109/ICITM.2018.8333973

Yongjua Laosiritaworn, W. Laosiritaworn, Y. Laosiritaworn

{"title":"Monte Carlo, design of experiment, and neural network modeling of basic reproduction number in disease spreading system","authors":"Yongjua Laosiritaworn, W. Laosiritaworn, Y. Laosiritaworn","doi":"10.1109/ICITM.2018.8333973","DOIUrl":"https://doi.org/10.1109/ICITM.2018.8333973","url":null,"abstract":"In this work, the disease spreading behavior as well as the basic reproduction number were investigated using susceptible-infected-recovered (SIR) model. The disease transmission activity was simulated using Monte Carlo simulation and analyzed using design of experiment and Neural Network. The investigated systems were considered as discrete cells for allocating the agents (population of the system). Each agent was allowed to wander around in carrying out disease transmission. The system sizes and the population (agent) densities were varied to observe the finite size effect, while the infectious period was varied to observe its influence on disease transmission dynamics. Number of agents in SIR states, and number of new infected cases caused by the first infected agent (basic reproduction number) were recorded. From the results, the number of agents in each state as a function of time was found to depend on all considered parameters. Specifically, the main effect plot suggests the basic reproduction maintains with the increased system size, somewhat increases with increasing the density, and mainly increases (at the beginning) with increasing the infectious period. The Neural Network was then used to establish relationship among parameters, where optimized network architecture was found at 3-28-9-1. The accuracy of the network was confirmed via R2 and mean absolute value. With Neural Network predicted data, the pair-relationship of inputs to the output was elaborated via interaction plot, giving more insight into the disease spreading characteristic. The residual plot analysis was also performed to confirm the quality of data prediction obtained. With high level of accuracy obtained for predicting data, the results then imply the validity of using multiple modeling/analysis techniques, i.e. Monte Carlo, design of experiment and Neural Network, as supplemental essential tools to model the dynamics of SIR disease spreading.","PeriodicalId":341512,"journal":{"name":"2018 7th International Conference on Industrial Technology and Management (ICITM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128975744","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

Research on the manufacturers' channel selection strategy 厂商渠道选择策略研究

2018 7th International Conference on Industrial Technology and Management (ICITM) Pub Date : 2018-03-01 DOI: 10.1109/ICITM.2018.8333929

H. Liu, Zhiping Wang

引用次数: 0

An integrated fuzzy-DEMATEL approach to project risk analysis 项目风险分析的模糊- dematel综合方法

2018 7th International Conference on Industrial Technology and Management (ICITM) Pub Date : 1900-01-01 DOI: 10.1109/ICITM.2018.8333985

Peyman Bashardoost, F. Nasirzadeh, N. N. Mohtashemi

引用次数: 4