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Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics最新文献

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Intelligent farming control system based on computer vision 基于计算机视觉的智能农业控制系统
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2014-10-01 DOI: 10.1109/SOLI.2014.6960720
B. Hu, Qiuchang Tian, Zizhang Chen, Gang Xiong, Xin Wang, Qiang Wang
{"title":"Intelligent farming control system based on computer vision","authors":"B. Hu, Qiuchang Tian, Zizhang Chen, Gang Xiong, Xin Wang, Qiang Wang","doi":"10.1109/SOLI.2014.6960720","DOIUrl":"https://doi.org/10.1109/SOLI.2014.6960720","url":null,"abstract":"This paper presents an intelligent, stable, low cost farming control system to solve automatic farming issues. It promotes the development of intelligent farming by detecting animal feed and animal waste and applying different treatments in different conditions. RFID, Auto-transport units, temperature and humidity detectors are added to extend the system's functions.","PeriodicalId":191638,"journal":{"name":"Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122592897","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
Analyzing the potential of Future-Internet-based logistics control tower solutions in warehouses 分析未来基于互联网的仓库物流控制塔解决方案的潜力
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2014-10-01 DOI: 10.1109/SOLI.2014.6960767
C. Alias, Cagdas Ozgur, M. Jawale, B. Noche
{"title":"Analyzing the potential of Future-Internet-based logistics control tower solutions in warehouses","authors":"C. Alias, Cagdas Ozgur, M. Jawale, B. Noche","doi":"10.1109/SOLI.2014.6960767","DOIUrl":"https://doi.org/10.1109/SOLI.2014.6960767","url":null,"abstract":"Lacking available information and missing integration of existing IT solutions between the planning level and the execution level are major reasons for many enterprises from the transportation and logistics failing to realize an optimal setup of process executions. Future-Internet-based logistics control towers promise a viable solution to such problems. With the help of such control towers, the problem is to be addressed. Using a real-world example of a process in a company's warehouse, the present paper presents the potential facilitated by Future-Internet-based logistics control towers by evaluating the usefulness of the solution with regard to the potential of a more resource-efficient configuration of business processes.","PeriodicalId":191638,"journal":{"name":"Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132914229","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: 8
One-day-ahead load forecast using an adaptive approach 基于自适应方法的一天负荷预测
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2014-10-01 DOI: 10.1109/SOLI.2014.6960755
Xi Xia, Xiaoguang Rui, Xinxin Bai, Haifeng Wang, Feng Jin, Wenjun Yin, Jin Dong, Hsin-ying Lee
{"title":"One-day-ahead load forecast using an adaptive approach","authors":"Xi Xia, Xiaoguang Rui, Xinxin Bai, Haifeng Wang, Feng Jin, Wenjun Yin, Jin Dong, Hsin-ying Lee","doi":"10.1109/SOLI.2014.6960755","DOIUrl":"https://doi.org/10.1109/SOLI.2014.6960755","url":null,"abstract":"Electrical load forecasting is vitally important to modern power system planning, operation, and control. In this paper, by focusing on historical load data and calendar factors, we present a hybrid method using period refinement scheme and adaptive strategy for building peak hour period and off-peak hour period models in day-of-week for one-day-ahead for load forecasting. They are evaluated using three full years of Shenzhen city electricity load data. Experimental results shows the adaptive model for each period, confirm good accuracy of the proposed approach to load forecasting and indicate that it has better forecasting accuracy than traditional ANN method.","PeriodicalId":191638,"journal":{"name":"Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127541895","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: 6
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