• Spatial Information Research
• /
• v.1 no.1
• /
• pp.7-16
• /
• 1993

Current computer technologies developing. our requirements are changing from simple alpha-numeric processing to graphic and image. spatial data processing which are easy for user to understand and use. Geographic information system is a kind of spatial database system that can not only print out the data in the form of maps but also manipulate. store. retrieve. and analyze the geographic data. It is efficient system that can process the spatial data which has a geographical feature and its relative attribute data. Conventional relational database management systems are not suitable for spatial data processing, so we need to design the spatial database mana-gement system which is suitable for efficient spatial data processing. In this paper we design the extended storage management system that supports the spatial index technique that allows user to access fast and store and manage the enormous spatial data efficiently like geographic information system.

• KIISE Transactions on Computing Practices
• /
• v.23 no.12
• /
• pp.670-676
• /
• 2017

Naval combat systems use real-time processing and compositing of collected information to provide the optimal combat capabilities that maximize survival and ensure mission effectiveness. The software for a combat system has dozens to thousands of components depending on the size of the system, and the communication between the components is achieved via DDS. Although the message interface of the combat system is managed through MDMS, an increase in the system size can result in problems such as the deterioration of the development efficiency. In this paper, we implement XMDMS to operate a distributed processing environment and then solve the problem of the reduction in the development efficiency caused by a load at the server. The experimental results shows that XMDMS improves the processing delay and network performance compared to MDMS.

• Journal of Platform Technology
• /
• v.12 no.1
• /
• pp.141-150
• /
• 2024

The importance of personal data protection is increasingly emphasized both at home and abroad, and while overseas countries are applying various policies and dynamic management technologies, there are some gaps between compliance with laws and regulations and the application of technologies in Korea, and there are few user interfaces that provide convenient ways for data subjects to stop processing personal data. This study first analyzes the need for dynamic personal information consent management technology, the current state of the industry, and the prospects for its development. Next, this study proposes a basic model for dynamic management of personal information consent that maximizes the data subject's right to personal data self-determination while strictly complying with personal data protection laws in Republic of Korea. In particular, this study analyzes the basis of domestic laws and regulations related to the suspension of personal data processing, designs a basic model of personal data consent dynamic management interface, and presents its effectiveness. Based on the results of this study, we expect that the proposed dynamic management model for personal data use consent can be used in various ways for various websites and applications in the future.

• Journal of the Korea Safety Management & Science
• /
• v.15 no.4
• /
• pp.317-321
• /
• 2013

Due to growth of electronics and control devices, automation and situational awareness systems have been applied by automobile. Vision systems with the introduction of unmanned system were being actively developed. In this paper, the distortion in the 7-inch LCD screen for the treatment process are divided into Online and Offline processing. Offline processing based on the image signal processing and for generating LUT Online to Offline generated by processing the distortion is applied to the LUT. LUT is applied to distort the image processing in real time, so that distortion correction is made for the purpose of setting.

• Journal of Korean Society for Quality Management
• /
• v.39 no.3
• /
• pp.412-421
• /
• 2011

In this paper, we introduce Quality of Service(QoS) analytic model of a distributed system that decentralizes the process nodes performing each task and communicates through a network for cooperation. The model advances a service reliability model of Dai et a1.(2003) by means of considering the processing time. The service is assumed to be provided by a centralized heterogeneous distributed system which is composed of some subsystems managed by a control center. The QoS is defined as the probability that a service is provided successfully in an allowed time, we consider the hardware/software reliability and the processing time which include program execution time, data transfer time. We derive the processing time distribution for a required service through convolution of corresponding probability density function. An application example is used to explain the procedure of computing quality of service.

• Korean Management Science Review
• /
• v.31 no.2
• /
• pp.65-70
• /
• 2014

This paper considers a single machine scheduling problem to determine release and processing times where both the release times and processing times are linearly decreasing functions of resources. The objective is to minimize the sum of the associated resource consumption cost and scheduling cost including makespan, sum of completion times, maximum lateness, or sum of lateness. This paper proves that the scheduling problem is NP-hard in the strong sense even if the release times are constant.

• Management Science and Financial Engineering
• /
• v.16 no.1
• /
• pp.1-16
• /
• 2010

In Nigeria, Igbemo-Ekiti is synonymous with a popular local rice which, nevertheless, is characterized with contaminations. Efforts of Government through the Agricultural Development Project (ADP) to improve rice quality in the state, have failed to yield the desired results. This study, therefore, reports the peculiar factors influencing the processing of rice in Igbemo-a major local producing town in Ekiti State, Nigeria. 72 respondents were interviewed, which was a census of the rice processors in 21 residential quarters of the town. Using the multiple linear regression models for analysis, the study discovered that; (i) status of the processors, (ii) expenditure on processing (iii) training acquired before commencing work, and (iv) storage facilities are crucial factors impacting rice processing activities in the town. The paper canvasses for policy measures based on research findings.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.7 no.3
• /
• pp.55-61
• /
• 2011

This paper presents an implementation of Lattice Reduction (LR)-aided detector for Multiple-Input Multiple-Output (MIMO) system using Graphics Processing Unit (GPU). GPU is a parallel processor which has a number of Arithmetic Logic Units (ALUs), thus, it can minimize the operation time of LR algorithm through the parallelization using multiple threads in the GPU. Through the implemented LR-aided detector, we verify that the LR-aided detector operates a lot faster than Maximum Likelihood (ML) detector. The implemented LR-aided detector has been applied to WiMAX system to show the feasibility of its real-time processing. In addition, we demonstrate that the processing time can be reduced at the cost of 3dB SNR loss by limiting the repeating loop in Lenstra-Lenstra-Lovasz (LLL) algorithm which is frequently used in LR-aided detector.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.9 no.1
• /
• pp.59-72
• /
• 2013

In this paper, we propose a keyword query processing technique based on semantic relationships for OWL data. The proposed keyword query processing technique can improve user's search satisfaction by performing two types of associative search. The first associative search uses information inferred by the relationships between classes or properties during keyword query processing. And it supports to search all information resources that are either directly or indirectly related with query keywords by semantic relationships between information resources. The second associative search returns not only information resources related with query keywords but also values of properties of them. We design a storage schema and index structures to support the proposed technique. And we propose evaluation functions to rank retrieved information resources according to three criteria. Finally, we evaluate the validity and accuracy of the proposed technique through experiments. The proposed technique can be utilized in a variety of fields, such as paper retrieval and multimedia retrieval.

• Proceedings of the Korea Society for Simulation Conference
• /
• 2000.11a
• /
• pp.165-173
• /
• 2000

Analytic models have been developed to solve integrated production-distribution problems in supply chain management (SCM). As one of major constraints in analytic models, capacity, which is the total operation time in this paper has mostly been known or disregarded assuming infinite capacity. Also, as major factors, machine processing time to fabricate or assemble a part or product at a certain machine center in production system and vehicle processing time to deliver a product to a customer by a certain vehicle in distribution system have been fixed and regarded as a static factor, But in the real systems significant differences exit between capacity and the required time to achieve the production-distribution plan and between processing time and consumed time to process a part or product. In this paper, capacity and processing times in the analytic model are considered as dynamic factors and adjusted by the results from independently developed simulation model, which includes general production-distribution characteristics. Through experiments, we obtain the more realistic solutions reflecting stochastic natures by performing the iterative analytic-simulation procedure.