• The Journal of Bigdata
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• v.1 no.2
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• pp.9-19
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• 2016

Since ICT convergence became a major issue, German government has carried forward a policy 'Industry 4.0' that triggered ICT convergence with manufacturing. Now this trend gets into our stride. From this facts, we can expect great leap up to quality perfection in low cost. Recently Korean government also enforces policy with 'Manufacturing 3.0' for upgrading Korean manufacturing industry with being accelerated by many related technologies. We, in the paper, developed a custom-made operational big data analysis platform for the implementation of operational intelligence to improve industry capability. Our platform is designed based on spring framework and web. In addition, HDFS and spark architectures helps our system analyze massive data on the field with streamed data processed by process mining algorithm. Extracted knowledge from data will support enhancement of manufacturing performance.

• Journal of Korean Society of Disaster and Security
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• v.5 no.1
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• pp.29-36
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• 2012

This paper focused on the new theory and algorithm improving the citizen's safety which they experience to change from the developing country to the developed country, and analyzed the gained and applicate results, and show the theories and application's evidence for the incident prevention of citizen's life and house. The Safety Monitoring Theory for human security, show the six theories for which they are analyzed and reduced the accident's death, as is the priority of the disaster prevention activity, its decision, continuous minimization of the accident's death number, the environment security, the personal security, the community security. This study is applied to educate and exercise the disaster prevention and safety management's program which applied the seven step's model of the safety monitoring, show on continuously improvement effects through the case study of the personal's and team's monitoring during five years.

• Journal of Navigation and Port Research
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• v.29 no.3 s.99
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• pp.221-226
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• 2005

This paper provides a method to implement IT system for supply chain management problem The fundamental scheduling issues that arise in the pickup delivery system are optimizing the system with the minimum cost, the maximum throughput and the service level. This study is concerned with the development of the customer responsive pickup-delivery system based on e-logistics and demand chain management. Through this study, the pickup-delivery problem of the vehicle using the GIS PDP and GUI- type computer programs are formulated. The computational results show that the proposed method is very effective on a set of test problems.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.522-532
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• 2011

In Oriental medicine, the status of a tongue is the important indicator to diagnose the condition of internal organs in a body. A tongue diagnosis is not only convenient but also non-invasive, and therefore widely used in Oriental medicine. But tongue diagnosis has some problems that should be objective and standardized, it also exhaust the diagnosis tool that can help for oriental medicine doctor's decision-making. In this paper, to solve the this problem we propose a method that calculates the tongue geometry information for effective tongue diagnosis analysis. Our method is to extract the tongue region for using improved snake algorithm, and calculates the geometry information by using convex hull and In-painting. In experiment, our method has stable performance as 7.2% by tooth plate and 8.5% by crack in region difference ratio.

• KIISE Transactions on Computing Practices
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• v.23 no.6
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• pp.343-349
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• 2017

Combat modeling and simulation (M&S) of large-scale computer generated forces (CGFs) enables the development of even the most sophisticated strategy of combat warfare and the efficient facilitation of a comprehensive simulation of the upcoming battle. The DEVS-POMDP framework is proposed where the DEVS framework describing the explicit behavior rules in military doctrines, and POMDP model describing the autonomous behavior of the CGFs are hierarchically combined to capture the complexity of realistic world combat modeling and simulation. However, it has previously been well documented that computing the optimal policy of a POMDP model is computationally demanding. In this paper, we show that not only can the performance of CGFs be improved by an efficient POMDP tree search algorithm but CGFs are also able to conveniently learn the behavior model of the enemy through case studies in the scenario of counterfire warfare and the scenario of a mechanized infantry brigade's offensive operations.

• Spatial Information Research
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• v.12 no.1
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• pp.89-100
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• 2004

Nowadays, the gas utilities have been increasing constantly due to the expansion of the urban areas. Using computerized information database, the gas companies have developed a gas management system in order to maintain the current status. However, this system can only give basic functions of the maintenance and management of the gas facilities and it has no proper utilities to provide information against accidents from gas leaks. Therefore, a gas accident management system has been developed in this study. Through primary and secondary pipe searching algorithm realtime based management system was devised against gas leaks to propose proper actions. In addition, supporting decision making has been enabled providing estimated maximum amount of gas leaks. Furthermore, all the residential units could be identified thereby minimizing damages through early warning. This system can be expected to contribute to enhance the efficiency of the gas management not to mention of protecting human lives and properties of the nation.

• The Journal of Society for e-Business Studies
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• v.23 no.2
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• pp.33-47
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• 2018

City gas pipelines are buried underground. Because of this, pipeline is hard to manage, and can be easily damaged. This research proposes a real time prediction system that helps experts can make decision about pressure anomalies. The gas pipline pressure data of Jungbu City Gas Company, which is one of the domestic city gas suppliers, time variables and environment variables are analysed. In this research, regression models that predicts pipeline pressure in minutes are proposed. Random forest, support vector regression (SVR), long-short term memory (LSTM) algorithms are used to build pressure prediction models. A comparison of pressure prediction models' preformances shows that the LSTM model was the best. LSTM model for Asan-si have root mean square error (RMSE) 0.011, mean absolute percentage error (MAPE) 0.494. LSTM model for Cheonan-si have RMSE 0.015, MAPE 0.668.

• Journal of Korean Society of Steel Construction
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• v.18 no.6
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• pp.677-686
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• 2006

In this paper, a more practical and realistic method is proposed to establish the lifetime optimum maintenance strategies of the deteriorating bridges considering the life-cycle performance as well as life-cycle cost. The genetic algorithm is applied to generate the set of maintenance scenarios that is the multi-objective combinatorial optimization problem related to lifetime performance and cost as separate objective functions, and the technique to select optimum tradeoff maintenance scenario is presented. Optimum maintenance scenarios could be generated not only at the individual member level but also at the system level of the bridge. Through the analytical results of applying the proposed methodology to the existing bridge, it is expected that the methodology will be effectively used to determine the optimum maintenance strategy for introducing a real preventive maintenance system and overcoming the limits of existing maintenance methods.

• Convergence Security Journal
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• v.15 no.4
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• pp.91-97
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• 2015

General companies consider saving the information after enciphering as law. However, if the actual information is saved as enciphered, the decoding process must be conducted when the information is searched or edited in the ser ver. Therefore, process delay time occurs and is less efficient. This kind of work gives burden to the server, so the companies or managers handling the server do not save the information after enciphering. In this paper, the Networ k constructs and realizes an efficient security data management system that ensures safety and haste in operating u sing the homomorphic encryption technology, which collects information and decides quickly, and enables editing the encryption without a decoding process. To ensure the security of the embodied system, the existing encryption algo rithm can be used. Search method to use the keyword search. Additionally, by using a trapdoor, the keyword is not expose and it is changed whenever it is searched, and the formation of the keyword does not get exposed.

• Journal of KIISE
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• v.42 no.4
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• pp.512-521
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• 2015

Internet users purchase goods on the Internet and express their positive or negative emotions of the goods in product reviews. Analysis of the product reviews become critical data to both potential consumers and to the decision making of enterprises. Therefore, the importance of opinion mining techniques which derive opinions by analyzing meaningful data from large numbers of Internet reviews. Existing studies were mostly based on comments written in English, yet analysis in Korean has not actively been done. Unlike English, Korean has characteristics of complex adjectives and suffixes. Existing studies did not consider the characteristics of the Internet language. This study proposes an emotional classification method which increases the accuracy of emotional classification by analyzing the characteristics of the Internet language connoting feelings. We can classify positive and negative comments about products automatically using the Internet emoticon. Also we can check the validity of the proposed algorithm through the result of high precision, recall and coverage for the evaluation of this method.