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Design of Smart Cold Chain Application Framework Based on Hadoop and Spark

Daesik Ko, Yoonsik Kwak, Dojin Choi, Seokil Song
2015 International Journal of Software Engineering and Its Applications  
In this paper, we propose an application framework for smart cold chain management system based on Hadoop, Spark and IoT (Internet of Things) techniques.  ...  We design PaaS and IaaS based on Hadoop and Spark to store the large amount of data stream on salable storage and process stream data in real time to detect events and assess risks in cold chain.  ...  The core of Hadoop consists of HDFS (Hadoop Distributed File System) which is a large storage and a MapReduce for parallel processing a large amount of data stored in HDFS [7] .  ... 
doi:10.14257/ijseia.2015.9.12.08 fatcat:2ztwr36gpvhpfi4daylv37mxva

An Evaluation and Implementation of Rule-Based Home Energy Management System Using the Rete Algorithm

Tomoya Kawakami, Naotaka Fujita, Tomoki Yoshihisa, Masahiko Tsukamoto
2014 The Scientific World Journal  
In the proposed system, rules for managing energy are processed by smart taps in network, and the loads for processing rules and collecting data are distributed to smart taps.  ...  Currently, we have proposed a rule-based Home Energy Management System (HEMS) using the Rete algorithm.  ...  This work was supported by the Japan Science and Technology Agency (JST) Super cluster program (Construction of a High-Efficiency Energy Utilization System Realizing Clean and Low Environmental Load Society  ... 
doi:10.1155/2014/591478 pmid:25136672 pmcid:PMC4127203 fatcat:u4eodr5mzfg3xlgwjq5n7sgy3y

Optimization of Teaching Management System Based on Association Rules Algorithm

Qing Niu, Wei Wang
2021 Complexity  
This paper designs and implements a teaching management system based on an improved association rule algorithm.  ...  First, aiming at the low efficiency of the Apriori algorithm for mining association rules, an association rule model based on interest is proposed.  ...  However, long-term system operation has accumulated a large amount of data.  ... 
doi:10.1155/2021/6688463 fatcat:wd5kemibtvacrkcnmkrx2bslda

A health management system for large vertical mill

Sugai Han, Ansheng Li, Hongchao Wang, Xiaoyun Gong, Liangwen Wang, Yixiang Huang, Yanming Li, Wenliao Du
2020 International Journal of Distributed Sensor Networks  
To address this issue, the health management system for large vertical mill is developed.  ...  Finally, the health management system, including the functions of condition monitoring, fault diagnosis, and trend prediction for large vertical mill is implemented using Microsoft Visual Studio C # and  ...  Figure 1 . 1 Use case diagram of health management system for large vertical mill.  ... 
doi:10.1177/1550147720912111 fatcat:uznhoe6vv5b57pmkpdy63he6ta

Laboratory Data Connectivity and Management: the Intersection of Laboratory Information Management Systems, Ancillary Open-Source Software, and Consumer Technologies

Nicole V. Tolan
2017 The Journal of Applied Laboratory Medicine  
The large data set, comprising iterative pairings between each patient's point-of-care laboratory glucose, proved too large for standard analysis in Excel.  ...  Limitations to these "home-brew" systems, and even the commercial systems, can largely be overcome by advanced middleware or LIMS systems (1).  ... 
doi:10.1373/jalm.2016.021899 pmid:33636852 fatcat:y5frvq4vzbejbcdnckmomdgnbe

Integrated Product Data Management Based on a Uniform User Interface [chapter]

Wolfram Wöß
2000 Advances in Networked Enterprises  
The presented approach also includes a powerful and uniform user interface for product data management.  ...  This paper illustrates how integrated rule-based product data management on the one hand significantly reduces the amount of product data that has to be administrated and how integrated product data management  ...  In this paper a concept for integrated rule-based product data management is introduced which compensates the mentioned problems of existing systems in the field of product data exchange and product data  ... 
doi:10.1007/978-0-387-35529-0_33 fatcat:pf4gkhl4nbduzf7uoegaizekaq

Discovering business intelligence from online product reviews: A rule-induction framework

Wingyan Chung, Tzu-Liang (Bill) Tseng
2012 Expert systems with applications  
The large volume of review data makes it difficult to manually analyze customers' concerns.  ...  The findings have important implications for market sentiment analysis and e-commerce reputation management.  ...  Understanding this correlation in large amounts of online review data could help e-commerce managers to make effective decisions on brand management, product promotion, and reputation management.  ... 
doi:10.1016/j.eswa.2012.02.059 fatcat:h5joczpeonfz3cor7by5a4pgvu

Facing Fault Management as It Is, Aiming for What You Would Like It to Be [chapter]

Roy Sterritt
2002 Lecture Notes in Computer Science  
In this paper two key fault management approaches are considered: (i) rule discovery to attempt to present fewer symptoms with greater diagnostic assistance for the more traditional rule based system approach  ...  Telecommunication systems are built with extensive redundancy and complexity to ensure robustness and quality of service. Such systems requires complex fault identification and management tools.  ...  The author is greatly indebted to the Industrial Research and Technology Unit (IRTU) (Start 187-The Jigsaw Programme, 1999-2002) for funding this work jointly with Nortel Networks.  ... 
doi:10.1007/3-540-46019-5_3 fatcat:3nizbbjohvh3ranie5ydswv4hy

Page 34 of Journal of Systems Management Vol. 32, Issue 9 [page]

1981 Journal of Systems Management  
The third and final rule is that the managers who acquire micro computers must not ask data process- ing to take over their orphan systems. Such manag- ers are on their own.  ...  JOURNAL OF SYSTEMS MANAGEMENT  ... 

Treatment of Rules in Individual Metadata of Flexible Contents Management

K. Ohta, Dai Kobayashi, T. Kobayashi, R. Taguchi, H. Yokota
2006 22nd International Conference on Data Engineering Workshops (ICDEW'06)  
It is important to treat each stored object in different manners to re ect its properties in the data management for the large amount of stored data.  ...  The properties of contents stored in a computer system are very wide while the data volume treated in the system becomes very large.  ...  Introduction The efficient management for large amount of data has been strongly required because the data volume stored in a computer system increases explosively.  ... 
doi:10.1109/icdew.2006.153 dblp:conf/icde/OhtaKKTY06 fatcat:bhlzsu2rbnakpmiwcalejdqtdy

Design of Teaching Quality Analysis and Management System for PE Courses Based on Data-Mining Algorithm

Sen Li, Yanrui Luo, Xin Ning
2022 Computational Intelligence and Neuroscience  
This article describes the design approach for a data mining-based analysis and management system for PE course teaching quality, as well as the application of information technology and data mining technology  ...  In today's universities, the Web-based integrated academic management information system is widely used, promoting higher education management system innovation and improving the management level of education  ...  By setting the maximum available size of the programme, it is shown that this data-mining arithmetic can extract association rules for large data sets in a small memory space.  ... 
doi:10.1155/2022/6830375 pmid:35685145 pmcid:PMC9173939 fatcat:fz4ejhcvqbcsxesxljlnwf4smu

Managing large collections of data mining models

Bing Liu, Alexander Tuzhilin
2008 Communications of the ACM  
Building a system to help data analysts construct and manage large collections of models is a pressing issue. Consider a credit-card marketing application.  ...  As more and more data has been collected and realworld problems have become more complex, it has become increasingly difficult for that data analyst to build all the required models and manage them manually  ...  The main idea was to integrate data mining and database management systems and extend SQL to include operators for constrained rule mining. M-SQL also allows limited querying of mined rules.  ... 
doi:10.1145/1314215.1314230 fatcat:3hnenvfterajjeykxiackk47je

Managing large collections of data mining models

Bing Liu, Alexander Tuzhilin
2008 Communications of the ACM  
Building a system to help data analysts construct and manage large collections of models is a pressing issue. Consider a credit-card marketing application.  ...  As more and more data has been collected and realworld problems have become more complex, it has become increasingly difficult for that data analyst to build all the required models and manage them manually  ...  The main idea was to integrate data mining and database management systems and extend SQL to include operators for constrained rule mining. M-SQL also allows limited querying of mined rules.  ... 
doi:10.1145/1314215.1340920 fatcat:45hz3l26s5hxteq7qu7uanctpe

AstroCloud, a Cyber-Infrastructure for Astronomy Research: Architecture [article]

Jian Xiao, Changhua Li , Zihuang Cao, Wanghui Wan
2014 arXiv   pre-print
In this paper, the architecture and key designs of the AstroCloud platform are introduced, including data access middleware, access control and security framework, extendible proposal workflow, and system  ...  observational astronomy based on big data, from proposal submission, to data archiving, data release, and to in-situ data analysis and processing.  ...  . the Telescope system, manage the observed data through the Data system, and perform data processing and analysis using VMs (virtual machine) in the Cloud system or more powerful physical clusters in  ... 
arXiv:1411.5070v1 fatcat:anohq4qukvd75ib7t2qhekk5w4

Evaluation of a commercial rule engine as a basis for a clinical decision support service

Howard S Goldberg, Michael Vashevko, Anatoly Pastilnik, Kevin Smith, Nina Plaks, Barry M Blumenfeld
2006 AMIA Annual Symposium Proceedings  
We note that the major bottleneck to application performance is the ability to rapidly deliver patient data to the rule engine for execution.  ...  We report on the use of a commercially-available rule engine system-iLog Rules-as the basis for a series of prototypes typifying Partners decision support applications.  ...  Key to promoting these findings from prototype to viable systems will be the codevelopment of an efficient retrieval system for moving large blocks of patient data to the decision support engine on-demand  ... 
pmid:17238350 pmcid:PMC1839377 fatcat:rbq6oi7nn5azldsc4b77mfajvu
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