• Journal of Korean Society of Industrial and Systems Engineering
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• v.21 no.45
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• pp.33-45
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• 1998

The typical characteristic of PDM(Product Data Management) System seperates the databases to store the meta data and applications. Therefore, meta data contains the information for the location of file, user profiles, relationships between the files, and process. PDM utilizes these information efficiently and does file management, configuration management, and process management. In this view, the integration strategy of PDM is to merge data and process. In the view of architecture, the interface between data and application and the actions of each application execute seamlessly. This architecture is viewed as integrated data and process among enterprises and implemented with client/server technology in distributed process environment that interfaced with open object-oriented technology which is developed with business object in the object-oriented infrastructure. In this paper, we studied the definition, function, and scope of PDM and researched the core technologies to implement the PDM integration environment. We also researched the PDM utilization in distributed enterprise environment and implementation of PDM integration environment with this technical background.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.4
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• pp.486-493
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• 2010

This paper demonstrates the design and implementation of fruit larder system that is able to monitor and control restoration environment using mobile equipment. Based on RFID/USN technology, it builds wireless sensor network to enhance its efficiency to fruit larder environment and inventory management and performs automated environment management through window-based application that works in desktop environment. Additionally, using WINC service, it provides remote control function for fruit larder using mobile equipment.

• Journal of Agricultural Extension & Community Development
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• v.4 no.1
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• pp.97-120
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• 1997

This study intends to develop a computer software for an efficient swineherd production and management. Current softwares are concerned on the sow management and ignore the actual farm environment. This study focuses on the farm environment in developing the software and covers the production management financial management, marketing management, and business planning for swineherd farm. The FSR(Farming Systems Research) analysis and interview survey aye applied to collect the data for the system planning, farmer's demand and analysis on the system, system design and program development. The systems are designed to meet the needs for the progressive swineherd farmers. Visual FoxPro 5.1 is used to develop the system. The developed system includes pig farm financial records keeping and management, pig farm production management program, pig farm marketing management program, and pig farm business diagnosis and planning program to meet the scope of the study. The weekly maintenance records and financial records are adopted for the input interface since most of farmers use their computer less than 5 hours a week. Pulldown Menu systems are adopted and designed for easy use by structuring to meet the pig farm and system demands. The manu system allocates the input-output screen based on the sectors, scopes, users, frequencies, importances, and the usages of the information. The GUI(Graphic User Interface) method is used to develop input-output screens for easy use. Backward Chaining mechanism fo the Expert System is used in the diagnosis of the pig farm management and the Systems Simulators Approach is used in the pig farm management planning.

• ETRI Journal
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• v.36 no.5
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• pp.730-740
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• 2014

The rapid increase in the number of patients with chronic diseases is an important public healthcare issue in many countries, which accelerates many studies on a healthcare system that can, whenever and wherever, extract and process patient data. A patient with a chronic disease conducts self-management in an out-of-hospital environment, particularly in an at-home environment, so it is important to provide integrated and personalized healthcare services for effective care. To help provide effective care for chronic disease patients, we propose a service flow and a new cloud-based personalized healthcare system architecture supporting both at-home and at-hospital environments. The system considers the different characteristics of at-hospital and at-home environments, and it provides various chronic disease care services. A prototype implementation and a predicted cost model are provided to show the effectiveness of the system. The proposed personalized healthcare system can support cost-effective disease care in an at-hospital environment and personalized self-management of chronic disease in an at-home environment.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.297-300
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• 2017

Particulate Matter(PM) is one of the most critical pollutant which can cause a fatal disease if the human body inhales. Construction is the business that emits the most fugitive dust. It is therefore necessary to manage construction site. South korea government focuses on the fugitive dust control measures defined in regulation being implemented properly. However the number of civil complaints related to fugitive dust emitted from construction site is the most in korea. So it is necessary to check from the management system aspect. This paper compares and analyzes the fugitive dust management system which applied to the construction site of major cities in three countries, and finds out what needs to be supplemented by the domestic management system.

• Journal of the Korean Institute of Gas
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• v.3 no.3 s.8
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• pp.17-22
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• 1999

This study established management system integrated Safety$\cdot$Health, Management System(SHMS) and Environment Management System(ISO 14000) which satisfy all the systems through analyzing the PSM, SMS, BS 8800 and ISRS. Also, this study presented the guideline model which can make regular document forms in the integrated Safety, Health and Environment Management System. Furthermore, integrating management system developed in this study can reduce the duplication and inefficiency of materials and human resources in chemical industries

• Journal of the Korean Institute of Gas
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• v.6 no.1 s.17
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• pp.24-31
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• 2002

The enterprise are facing potential SHE(safety, health and environment) accident to cause casualties or a financial loss and increasing social responsibility. So, SHE management system has to be voluntarily accomplished rather than passively with regard to SHE regulation. In this study, KW_SHE(Kwangwoon Safety, Health and Environment) management model is developed which materialize self-regulation SHE management system of individual workplace by the research and analysis of many domestic enterprise. This KW-SHE management model is intend to assess work-product vs. management expenses investment and critically evaluated for studying its benefits and limitations

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.7
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• pp.584-590
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• 2001

An inventory management system of manufacturing industry has a model of different kinds according to the objective and the situation. An inventory management system needs superior system technique in demand forecast, economical efficiency, reliability and application for stable supply of the finished goods, the raw materials and the parts. This paper proposes a demand forecast method based on fuzzy structured neural network, which uses min-operation and trapezoid membership function of fuzzy rules. So we can construct an intelligent inventory management system that make optimized decision-making for forecasting data with expert s opinion in fuzzy environment. The inventory management system uses intelligence agent and it could be adapted to a system environment change in order.

• Knowledge Management Research
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• v.19 no.1
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• pp.119-132
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• 2018

Many advanced products and services are emerging in the market thanks to data-based technologies such as Internet (IoT), Big Data, and AI. The construction of a system for data processing under the IoT network environment is not simple in configuration, and has a lot of restrictions due to a high cost for constructing a high performance server environment. Therefore, in this paper, we will design a development environment for large data analysis computing platform using open source with low cost and practicality. Therefore, this study intends to implement a big data processing system using Raspberry Pi, an ultra-small PC environment, and open source API. This big data processing system includes building a portable server system, building a web server for web mining, developing Python IDE classes for crawling, and developing R Libraries for NLP and visualization. Through this research, we will develop a web environment that can control real-time data collection and analysis of web media in a mobile environment and present it as a curriculum for non-IT specialists.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.5
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• pp.1117-1124
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• 2015

This paper explains a web session management system for mobile web environment with BYOD(Bring Your Own Device). This system operates by enhanced secure session token. This system consists of an unique identifier, time stamp, and encryption algorithm. The Unique identifier in this system classifies each mobile device for web security based on mobile environment with BYOD. And the Time stamp in this system that determine session effectiveness for web security. Also the Cipher algorithm in this system that protects session token information for web security. This paper analysis a security of session management system running on mobile web environment using the simulation techniques. The proposed method is more suitable than the other methods under enviroment mobile web environment with BYOD.