• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.161-169
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• 2014

Digital forensics is the process of proving criminal charges by collecting and analyzing digital evidence which is related to the crime in question. Most digital forensic research is focused on digital forensic techniques themselves or cyber crime. In this paper, we designed a digital forensics-criminal investigation linked model in order to effectively apply digital forensics to various types of criminal investigations. Digital forensic ontology was developed based on this model. For more effective application of digital forensics to criminal investigation we derived specific application fields. The ontology has legality rules and adequacy rules, so it can support investigative decision-making. The ontology can be developed into an intelligent criminal investigation system.

• Elastomers and Composites
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• v.36 no.3
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• pp.169-176
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• 2001

Ethyl-branched polyethylene[PE(2)] containing 2mole% ethyl branch and three ethylene-propylene rubbers(EPR's) haying the same ethylene(E)-propylene(P) molar ratio(E/P=50/50) with different stereoregularity, that is, random EPR(r-EPR), alternating-EPR(alt-FPR) and isotactic-alternating-EPR(iso-alt-EPR) were mixed for the investigation of their properties depending on the stereoregurarity. The three blends were immiscible at room temperature, and showed the simple additivity effect in density behavior. The melting point depression with blend composition increased in order of PE(2)/r-EPR>PE(2)/alt-EPR>PE(2)/iso-alt-EPR. In the tensile test, this blend systems have the lowest value or the breaking strength at FE(2) fraction of 0.5. This phenomenon results from the greastest separated phase morphology at this blend composition.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.1
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• pp.25-33
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• 2009

Recently, the TS fuzzy models that include the linear equations in the consequent part are widely used for time series forecasting, and the prediction performance of them is somewhat dependent on the characteristics of time series such as stationariness. Thus, a new prediction method is suggested in this paper which is especially effective to nonstationary time series prediction. First, data preprocessing is introduced to extract the patterns and regularities of time series well, and then multiple model TS fuzzy predictors are constructed. Next, an appropriate model is chosen for each input data by an adaptive model selection mechanism based on rough sets, and the prediction is going. Finally, the error compensation procedure is added to improve the performance by decreasing the prediction error. Computer simulations are performed on typical cases to verify the effectiveness of the proposed method. It may be very useful for the prediction of time series with uncertainty and/or nonstationariness because it handles and reflects better the characteristics of data.

• Journal of KIISE:Software and Applications
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• v.27 no.8
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• pp.834-845
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• 2000

Most agents are associated with plan rules for their tasks when they are created. In a multi-agent system in which many agents are interacting, the direct use of predefined plan rules of each agents may slow down the system due to the lack of recognition of the relationship among plan rules of the agents. In order to overcome this, we need to analyze and integrate the agent's plan rules to facilitate concurrent rule execution. This paper proposes a method that integrates and executes local plan rules of task agents in a multi-agent environment. The results of the integration are represented in a network structure. For domain task execution, a task agent collects other task agents' plan rules and builds an integrated domain network, which is exploited to achieve the goal. The agent problem solving by using the domain network enables not only the concurrent plan execution but the solution of coordination problems.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.236-242
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• 2019

Recently, scanning projects have been carried out in various construction and construction fields for maintenance purposes. The point cloud generated by the scan results is composed of a number of points representing the object to be scanned. The process of extracting the necessary information, including dimensions, from such scan data is called paradox. The reverse engineering process of modeling a point cloud as BIM involves considerable manual work. Owing to the time-consuming reverse engineering nature of the work, the costs increase exponentially when rework requests are made, such as design changes. Reverse engineering automation technology can help improve these problems. On the other hand, the reverse design product is variable depending on the use, and the kind and detail level of the product may be different. This paper proposes the G2BM (Geometry-to-BIM mapping) rule definition method that automatically maps a BIM object from a primitive geometry to a BIM object. G2BM proposes a process definition and a customization method for reverse engineering BIM objects that consider the use case variability.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1700-1709
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• 2019

Recently, many researches have been under way to develop systems (services) to support the safety navigation of ships, and in these studies, common difficulties have been encountered in assessing the usefulness and effectiveness of the developed system. To solve these problems, we propose the DEVS-based ship navigation modeling and simulation technique. Following the preceding study, we analyze the COLREG rules and reflected to officer and helmsman agent models for decision making. Also we propose estimation and interpolation techniques to adopt the motion characteristics of the actual vessel to simulation. In addition, we implement the navigation simulation system to reflect the designed proposed methods, and we present five-scenarios to verify the developed simulation system. And we conduct simulations according to each scenario and the results were reconstructed. The simulation results confirm that the components modelled in each scenario enable to operate according to the navigation relationships.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.8
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• pp.1759-1766
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• 2003

This paper proposes a neuro­fuzzy controllers for trajectory tracking control of robot manipulators. The computed torque method is an effective means for trajectory tracking control. However, the tracking performance of this method is severely affected by the uncertainties of robot manipulators. Therefore, the proposed controller is used to compensate the uncertainties of robot manipulators. In the neuro­fuzzy controllers, the number of fuzzy rules used forty­nine. The effectiveness of the proposed controllers is demonstrated by computer simulations using two­link robot manipulator, As a result, it is confirmed that the output of the proposed neuro­fuzzy controllers can efficiently decrease the uncertainties of robot manipulator.

• Journal of Gastric Cancer
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• v.5 no.2
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• pp.120-126
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• 2005

Purpose: Endoscopic ultrasonography (EUS) is a useful imaging procedure for the diagnosis of submucosal tumors in the stomach. The present study investigated the EUS features of benign and malignant gastrointestinal stromal tumors(GISTs) and assessed differences between the two groups. Materials and Methods: Thirty patients with a GIST in the stomach were included in the study (23 benign and 7 malignant GISTs). We compared characteristic EUS findings (tumor size, location of tumor, regularity of the outer margin, echoheterogeneity, presence of cystic spaces, echogenic foci and mucosal ulceration) between benign and malignant GISTs. Results: Tumor sizes over 40 mm were observed in $85.7\%$ of the malignant and $8.7\%$ of the benign tumors (P=0.000). Intralesional cystic spaces were noted in $71.4\%$ of the malignant and $8.7\%$ of the benign tumors (P=0.003). The outer margin was irregular in $71.4\%$ of the malignant and $8.7\%$ of the benign tumors (P=0.014). $85.7\%$ of the malignant and $13.0\%$ of the benign tumors had an echo-heterogeneity in the tumor (P=0.001). The locations of tumor and the presence of echogenic foci or mucosal ulcerations were not different between the two groups. Conclusion: Tumor sizes over 40 mm, intralesional cystic spaces, irregular outer margins, and echo-heterogeneity in the tumor were significantly more frequent in malignant GISTs. EUS can provide informations in differentiating benign from malignant GISTs.

• Information and Communications Magazine
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• v.33 no.5
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• pp.3-11
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• 2016

자연계에서 존재하는 다양한 생명체는 자신들의 생존과 종의 번성을 위해 효율적인 행동 규칙을 만들어 진화해 왔다. 이러한 생명체의 다양한 생존원리로부터 착안을 하여 자연계가 아닌 다른 환경에서 적용이 가능하도록 알고리즘을 만들어 적용시키는 것을 생체모방 알고리즘이라 한다. 자연계의 환경자체가 불확실한 변화가 다양하게 포함되고 있으며, 제한된 자원 환경을 어떻게 효율적으로 활용하는가의 문제가 걸려 있음으로 인하여 이러한 생체모방 알고리즘은 적용환경의 변환에 빠른 적응력을 제공할 수 있고, 자원 제약형 환경에서 안정적으로 확장성과 적응성을 제공할 수 있어서 상호 운용성 측면에서 많은 이득을 줄 수 있다. 이와 같은 생체모방 알고리즘을 네트워크의 관점에서 적용시켜 보면, 전자의 경우에는 자율적인 네트워크 구성을 용이하게 제공할 수 있음을 나타내고, 후자의 경우에는 IoT 환경과 같은 자원 제약형 환경에서의 상호 운용성을 제공할 수 있다. 이렇듯이 생체모방 알고리즘을 네트워크에 접목시켜 연구하는 것은 최근의 네트워크 분야의 연구 이슈와 상호 보완적으로 작용하여 시너지 효과를 제공할 수 있다. 자연계의 군집 현상 및 동기화 현상을 네트워크 환경에서 적용하여 사용할 수 있는 생체모방 알고리즘 기술은 다양하게 존재하고 있으며 이를 활용하는 연구를 통해 SDN(Software Defined Networking)에서의 자율제어 네트워크 구성에 접목하거나 IoT 환경과 같은 자원 제약형 환경에서의 보다 효율적인 상호 연결성을 제공하는 방향으로 발전할 수 있다. 이러한 생체모방 자율제어 네트워크 환경 구현을 위해 기존의 OpenFlow 환경과 새로이 부각되는 P4: Programming Protocol-Independent Packet Processors 기술에 대해서 정리하여 향후 생체모방 자율제어 네트워크 구현 방안을 제시하고자 한다.

• Convergence Security Journal
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• v.15 no.4
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• pp.149-154
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• 2015

The aim of this study is to suggest the change of behavior and motor skill of children with intellectual disabilities participating functional games using virtual reality. For this purpose, 5 children with intellectual disabilities completed a 16-week functional game program twice a week. The result was as following; the application of functional games using virtual reality has positive effect on behavior and motor skill -static coordination, hand motion coordination, normal motion coordination, motor speed, simultaneous spontaneous motion, single motion competency. The application and utilization of functional games using virtual reality systematically of children with intellectual disabilities can bring an improvement on their overall development.