• Korean Security Journal
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• no.38
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• pp.7-32
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• 2014

This study is aimed to analyze problems of police budgetary execution and to suggest better ways for establishing effective budget implementation as well as legitimacy of securing budget in the field of police work. For this purpose, this paper analyzed the annual reports on police budgetary execution, from 2009 to 2012, conducted by National Assembly Budget Office. In result, most parts of the police budgetary execution were not satisfied with the audit standard, and especially in terms of management of budgetary execution, it showed 40% in inappropriateness. In addition, excessive and underestimate appropriation in the police budgetary execution, which happened frequently in other offices, was recorded on the second place. 10% of the amount of budget was executed for ordinance violence. Given results analyzed from each division, Transportation Division occupied 40% of the amount of related problems and all of types in the field did not meet the audit standard, thus it is required to manage budgetary execution effectively. In terms of Public Safety Division, the problem was related to budgetary allocation prior to execution, such as overlap in other works, excessive and underestimate appropriation, and inappropriate business plans. Director General for Planning and Coordination did not meet the standard of law system maintenance, Given the light of the result of analyzing programs, traffic safety and securing communication was the most problematic and support for police administration, crime prevention and protecting the disadvantaged, educating professional police officers, and establishment of policing infrastructure were required to be reformed in sequence. In order to resolve these problems, it is demanded to check budgetary execution and the process in business plans on a regular basis. Additionally, in case of using budget in inappropriate parts, tough penality including reduction of budget in related to the local police should be implemented to increase the importance of budgetary execution. Moreover, because of the fact that a part of problem of budgetary execution was originally caused by the budgetary allocation, it is advised to allocate police budget using the budget proposal of National Finance Act and Ministry of Strategy and Finance.

• Proceedings of the Korea Society of Design Studies Conference
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• 2001.10a
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• pp.27.1-27
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• 2001

The purpose of rhis research is proposing rhe sysrem which does information supporr as for a truck driver, and verifying the validity. First, it investigated by visiting the Transporr Company and interview for the present situation and the opinion on computerization from the operation administrator and truck drivers. Consequently, the problem of computerization could be found out to the present system. Next, the present system was considered. As for present machine system, human's "Choosing a function", srarts processing. Then this system is called "Function-Oriented-System". And three problems were extracted from this sysrem. As a solution of those problems, the Purpose-Oriented-System was proposed. In order to attain user's purpose, Agent that situation is perceived and works a function autonomously assumed that this system was inherent. 3D-Sceanrio-Expression was proposed as the description method of rhe task process. It consists of "Machine and Functional-Item axis", "Time axis", and "Situation-Item axis". And, the task execution process of Function-Oriented-System and Purpose-Oriented-System was compared using 3D-Sceanrio-Expression supposing the scene of truck business. As a resulr, rhe following two things could be found out. (1) The concepr of Purpose-Oriented-System that Agent is inherent is effective as siruarion correspondence machine. (2) A solid scenario can express the interaction rhar cannor be seen, in the relarion of rhe conventional Human and Machine.

• Journal of the Korea Safety Management & Science
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• v.20 no.1
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• pp.11-21
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• 2018

Safety accidents, which are called industrial accidents in construction work, are often caused by unstable physical and personal conditions combined during preparation and execution of work. It is difficult to manage all the construction works, but especially in the field of apartment construction work, complex and many kinds of works are being carried out at the same time. In the current construction, safety regulations such as safety management guidelines are generally well maintained, but the execution of manpower resources that can fulfill them is limited, and it is difficult to reduce the accident rate and loss cost. Therefore, in this study, it is a reality that most of the types of construction work are under contruction by subcontracting contract, so they are limit by methods of manual maintenance and safety education. Currently, the subcontractor is also allowed to perform safety management through the composition of the safety management review body, but it is operated formally. So alternatives to this were studied. As a result, safety accidents occur in the subcontractor's worker due to vertical integration, which is characteristic of the construction industry, together to the contractor, the safety management system is based on a safety construction system in which a worker who has a certain qualification condition such as career experience of the work type, work understanding of the work type, and management experience of the work type among the subcontractor, when we manage based on mutual personality which is the personality of interpersonal relationship that can communicate with each other by work type, process and grouping, it is concluded that effective and practical safety management can be achieved to reduce the accident rate and loss cost.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.4
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• pp.12-22
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• 2021

This article suggests the machine learning model, i.e., classifier, for predicting the production quality of free-machining 303-series stainless steel(STS303) small rolling wire rods according to the operating condition of the manufacturing process. For the development of the classifier, manufacturing data for 37 operating variables were collected from the manufacturing execution system(MES) of Company S, and the 12 types of derived variables were generated based on literature review and interviews with field experts. This research was performed with data preprocessing, exploratory data analysis, feature selection, machine learning modeling, and the evaluation of alternative models. In the preprocessing stage, missing values and outliers are removed, and oversampling using SMOTE(Synthetic oversampling technique) to resolve data imbalance. Features are selected by variable importance of LASSO(Least absolute shrinkage and selection operator) regression, extreme gradient boosting(XGBoost), and random forest models. Finally, logistic regression, support vector machine(SVM), random forest, and XGBoost are developed as a classifier to predict the adequate or defective products with new operating conditions. The optimal hyper-parameters for each model are investigated by the grid search and random search methods based on k-fold cross-validation. As a result of the experiment, XGBoost showed relatively high predictive performance compared to other models with an accuracy of 0.9929, specificity of 0.9372, F₁-score of 0.9963, and logarithmic loss of 0.0209. The classifier developed in this study is expected to improve productivity by enabling effective management of the manufacturing process for the STS303 small rolling wire rods.

• Proceedings of the IEEK Conference
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• 2003.07c
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• pp.2561-2564
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• 2003

Data mining is an effective method of the discovery of useful information such as rules and previously unknown patterns existing in large databases. The discovery of association rules is an important data mining problem. We have developed a new parallel mining called Distributed Frequent Pattern Tree (abbreviated by DFPT) algorithm on a distributed shared nothing parallel system to detect association rules. DFPT algorithm is devised for parallel execution of the FP-growth algorithm. It needs only two full disk data scanning of the database by eliminating the need for generating the candidate items. We have achieved good workload balancing throughout the mining process by distributing the work equally to all processors. We implemented the algorithm on a PC cluster system, and observed that the algorithm outperformed the Improved Count Distribution scheme.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.1
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• pp.117-135
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• 2016

Performance enhancement is one of the most important issues in high performance distributed computing systems. In such computing systems, online users submit their jobs anytime and anywhere to a set of dynamic resources. Jobs arrival and processes execution times are stochastic. The performance of a distributed computing system can be improved by using an effective load balancing strategy to redistribute the user tasks among computing resources for efficient utilization. This paper presents a multi-class load balancing strategy that balances different classes of user tasks on multiple heterogeneous computing nodes to minimize the per-class mean response time. For a wide range of system parameters, the performance of the proposed multi-class load balancing strategy is compared with that of the random distribution load balancing, and uniform distribution load balancing strategies using simulation. The results show that, the proposed strategy outperforms the other two studied strategies in terms of average task response time, and average computing nodes utilization.

• Journal of National Security and Military Science
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• s.5
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• pp.87-130
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• 2007

ROK and the United States finally reached accord on the controversial transition of Wartime Operational Control on February, 2007, and ROK Government needs to strengthen the role of supporting for the comprehensive threats of futuristic warfare. The crucial point of the supporting for Military Operation depends on the nation's mobilization capabilities. For the effective mobilization the following facets can be improved further. First of all, the organizational integrity of the mobilization network within the government can be bolstered along the vertical command chain. The process of mobilization must be improved and it is import to utilize the information system. On the other side the government plan to distribute timely the mobilized resources must be made up for the weak points and developed continuously. We can expect these points to be improved steadily with the execution of the National Defence Reform 2020.

• Journal of Korean Society of Transportation
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• v.12 no.3
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• pp.49-64
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• 1994

The development of a mathematical modular framework based on Petri Network theory to model a traffic network is the subject of this paper. Traffic intersections are the primitive elements of a transportation network and are characterized as event driven and asynchronous systems. Petri network have been utilized to model these discrete event systems; further analysis of their structure can reveal information relevant to the concurrency, parallelism, synchronization, and deadlock avoidance issuse. The Petri-net based model of a generic traffic junction is presented. These modular networks are effective in synchronizing their components and can be used for modeling purposes of an asynchronous large scale transportation system. The derived model is suitable for simulations on a multiprocessor computer since its program execution safety is secured. The software pseudocode for simulating a transportation network model on a multiprocessor system is presented.

• Journal of Korea Multimedia Society
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• v.2 no.3
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• pp.297-307
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• 1999

A character recognition system, where a large amount of character images arrive continuously in real time, must preprocess character images very quickly. Moreover, information loss due to image trans-formations such as geometric normalization and thinning needs to be minimized especially when character images are small and noisy. Therefore, we suggest a prompt and effective feature extraction method without transforming original images. For this, boundary pixels are defined in terms of the degree in classification, and those boundary pixels are considered selectively in extracting features. The proposed method is tested by a handwritten character recognition and a car plate number recognition. The experiments show that the proposed method is effective in recognition compared to conventional methods. And an overall reduction of execution time is achieved by completing all the required processing by a single image scan.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.7
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• pp.1309-1314
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• 2007

The assignment of cells to reporting or non-reporting cells is an NP-hard problem having an exponential complexity in the Reporting Cell Location Management (RCLM) system. Frequent location update may result in degradation of quality of service due to interference. Miss on the location of a mobile terminal will necessitate a search operation on the network when a call comes in. The number of reporting cells and which cell must be reporting cell should be determined to balance the registration (location update) and search (paging) operations to minimize the cost of RCLM system. T1is paper compares Max-Min ant system (MMAS), rank-based ant system (RAS) and hybrid method of MMAS and RAS that generally used to solve combinatorial optimization problems. Experimental results demonstrate that hybrid method of MMAS and RAS is an effective and competitive approach in fairly satisfactory results with respect to solution quality and execution time for the optimal design of location management system.