• Korean Journal of Computational Design and Engineering
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• v.17 no.1
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• pp.26-34
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• 2012

Assembly scheduling in shipbuilding is responsible for determine assembly process orders and departmental production schedule for the block, the basic composite unit of ships. It is necessary much more information to decide production scheduling as the characteristic of shipbuilding which has been more complex and more various and also, a lot of waste of time and of human power is generated in the course of data processing. The target shipbuilding manufacturer of this study use empirical techniques, based on the user's discretion, to compile and to apply data which are scattered in DB storages separately. Because of that reason, the user should not only be performed identification and screening operations but also modification and verification for vast amounts of data, so it is hard to keep the consistency of the data and also the operation time is not constant. Accordingly, the object in this study is by presenting an efficient DB framework to reduce wasting time and man-hour at experienced-oriented process, abate user's manual operations and support an efficient scheduling in assembly processes.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2003.11a
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• pp.681-686
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• 2003

It has been designed GUI(graphic user interface) to consult the convenience of a input data and the flexibility that can be retrieved dismantling information relation to decommissioning DB of KRR1&2. The GUI can proceed an input materials and a search and output of a saved data in server based on a facility code and also have a function of explorer which can find the lower dismantling objects in each facilities. It has added the structure of the multimedia that could be showed a series of dismantling activities with a Mpeg and pictures into the GUI. In the future work, Decommissioning DB and User Interface are intend to contribute a functions that could be evaluate and analyze for a dismantling activities with a engineering theory.

• Journal of the Korea Safety Management & Science
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• v.13 no.4
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• pp.71-79
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• 2011

The work environment of locomotive cabs has long been an important issue in the design of railload systems since it is quite critical in terms of system's operational safety. It is getting more attention as the running speed of the trains goes up these days. To this end, this paper describes how to systematically construct a DB for the requirements set in the course of the improvement process for the aforementioned cab work environment. As a solution approach, we have adopted the requirement architecture concept to cover the whole activities required to do such as in requirements generation, DB construction, change management, and traceability management. Specifically, based on the requirement architecture framework a requirement process to collect requirements for improvement is discussed, and the guide lines are suggested for verification and validation of the developed requirements. In addition, a base schema and requirements templates are developed, which will be used in generating requirements and constructing a DB. Finally, it is demonstrated how the requirements DB for locomotive cabs can be constructed using a computer-aided tool in an integrated fashion.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.339-342
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• 2008

Recently the life and property damage caused by urban inundation have increased. In order to prevent the damage by inundation the researches for displaying the flooded areas through integrating SWMM and GIS have been progressed. However most of flood analysis systems only have used the GIS to display the flooded areas, and don't provide the integration disaster information to prevent the inundation. In this paper, we design a prototype for the Map Viewer based Spatial DB for the integrated urban floooded area management system. And we implement the spatial DB conversion module.

• Journal of Platform Technology
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• v.9 no.2
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• pp.3-9
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• 2021

The management of sensor information requires the functions for registering, modifying and deleting rapidly sensor information about various many sensors. In this research, Celery and MongoDB are used for developing a sensory data management system. Celery supplies a queue structure based on asynchronous communication in Python. Celery is a distributed simple job-queue but reliable distributed system suitable for processing large message. MongoDB is a NoSQL database that is capable of managing various informal information. In this experiment, we have checked that variety of sensor information can be processed with this system in a IoT environment. To improve the performance for handling a message with sensory data, this system will be deployed in the edge of a cloud infrastructure.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.128-134
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• 2023

The widespread usage of blockchain technology in cryptocurrencies has led to the adoption of the blockchain concept in data storage management systems for secure and effective data storage and management. Several innovative studies have proposed solutions that integrate blockchain with distributed databases. In this article, we review current blockchain databases, then focus on two well-known blockchain databases-BigchainDB and FalconDB-to illustrate their architecture and design aspects in more detail. BigchainDB is a distributed database that integrates blockchain properties to enhance immutability and decentralization as well as a high transaction rate, low latency, and accurate queries. Its architecture consists of three layers: the transaction layer, consensus layer, and data model layer. FalconDB, on the other hand, is a shared database that allows multiple clients to collaborate on the database securely and efficiently, even if they have limited resources. It has two layers: the authentication layer and the consensus layer, which are used with client requests and results. Finally, a comparison is made between the two blockchain databases, revealing that they share some characteristics such as immutability, low latency, permission, horizontal scalability, decentralization, and the same consensus protocol. However, they vary in terms of database type, concurrency mechanism, replication model, cost, and the usage of smart contracts.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.3
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• pp.43-49
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• 2012

Information obtained from DFD(Data Flow Diagram) are very important in system maintenance, because most legacy systems are analyzed using DFD in structured analysis. In our thesis, we design and implement an extractor for design sequence of database tables using DFD. Our extractor gets DFDs as input data, transform them into a directed graph, and extract design sequence of DB tables. We show practicality of our extractor by applying it to a s/w system in operation.

• 한국지형공간정보학회:학술대회논문집
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• 1995.08a
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• pp.133-157
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• 1995

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.5
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• pp.97-105
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• 2020

Recently, for a smart city, there is a demand for a technology for acquiring traffic information using an intelligent road infrastructure and managing it. In the meantime, various technologies such as loop detectors, ultrasonic detectors, and image detectors have been used to analyze road traffic information but these have difficulty in collecting various informations, such as traffic density and length of a queue required for building a traffic information DB for moving vehicles. Therefore, in this paper, assuming a smart city built on the basis of a camera infrastructure such as intelligent CCTV on the road, a solution for calculating the traffic DB of moving vehicles using Vision Tracking of road CCTV cameras is presented. Simulation and verification of basic performance were conducted and solution can be usefully utilized in related fields as a new intelligent traffic DB calculation solution that reflects the environment of road-mounted CCTV cameras and moving vehicles in a variable smart city road environment. It is expected to be there.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.3
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• pp.34-40
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• 2002

In the past, the important factors of buying the sports shoes for the customers were price and comfort. However these days, the sports shoes are considered as a part of fashion and may not satisfy the customers because their emotional preference have not been properly considered in design phase. The customers' desire and expectation for unique design are growing. Thus, the development of sports shoes not only considering the anthropometric foot characteristics but also satisfying the customers emotional preference is needed. In this study, the basic data on the customer's emotional preference to the design of sports shoes were obtained using human sensibility ergonomics approach and formed a data base. Also, we developed ail interface that can be used for the customers to select the emotionally preferred sports shoes.