• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2012.10a
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• pp.153-158
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• 2012

Noise maps are produced according to 'The Method of making a Noise Map' in order to noise control efficiently, and prediction model to predict road traffic noise which may apply to Korean situation, include CRTN, RLS 90, NMPB, Nord 2000 and ASJ 2003. Of them, ASJ 2003, Japan's prediction model has not been verified for the application to Korean situation according to the classification of vehicle. In addition, ASJ 2003 was revised to ASJ 2008 recently, a classification for motorcycle was added. This study attempts to check the classification of vehicle in ASJ 2008 and 'The Method of making a Noise Map' to confirm the suitability of the application of them to Korean situation.

• Journal of Information Technology Applications and Management
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• v.14 no.2
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• pp.11-26
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• 2007

In this paper we suggest a context-driven configuration model of virtual businesses to form a business network model consisting of role-based, interaction-centered business partners. The model makes use of the subcontext concept which explicitly represents actors and interactions in virtual business (VB) context. We separate actors who have capacities on tasks in a specific kind of role and actor subcontext which models requirements in specific interaction subcontext. Three kinds of actors are defined in virtual service chains, service user, service provider, and external service supporter. Interaction subcontext models a service exchange process between two actor subcontexts with consideration of context dependencies like task and quality dependencies. Each subcontext may be modeled in the form of a situation network which consists of a finite set of situation nodes and transitions. A specific situation is given in a corresponding context network of actors and interactions. It is illustrated with a simple example.

• Korean Journal of Construction Engineering and Management
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• v.4 no.1 s.13
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• pp.81-89
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• 2003

This research suggests the FD-AHP decision making model for Construction Projects which is composed of two main method to prevent a ranking invert situation ; First, to make the consensus of the experts consistent, we utilize Fuzzy-Delphi method to adjust the fuzzy rating of every expert to achive the consensus condition with the fuzzy linguistic presentation. Second, to handle vague linguistic presentation caused by expert's experiences and subjective judgement, we propose Fuzzy-AHP which is able to enhance precision of construction projects decision mating situation. Moreover, with the correlation analysis, we show that the validity of the FD-AHP model under a decision making task specially on where highly demanded expert's experiences and intuition.

• Journal of the Society of Disaster Information
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• v.15 no.4
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• pp.617-625
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• 2019

Purpose: The fields manuals which is managed by the each disaster types are the integrated guideline. When the disaster occurred, all kinds of SOPs which are described in the manual does not need. Therefore, the person in charge is confused which SOP is executed. In this study, we propose the disaster response process model based on the specific disaster situation case. Method: Firstly, we define the disaster situation cases which is mentioned in the field manual, and then, we develop the disaster response process model including indispensible SOPs for the specific disaster situation case. As a verification and feedback process, we apply the model to Safety Korea Exercise scenario. Result: We developed SOP model and disaster response process model reflecting the concept of the disaster situation case. Conclusion: Safety Kore Exercise scenario reflecting the developed model may continuously upgrade the field manual.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.5
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• pp.101-107
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• 2009

In this paper, we describe a method of detecting emergency situation using images from surveillance cameras and propose a mobile robot tracking system for detailed examination of that situation. We are able to track a few persons and recognize their actions by an analyzing image sequences acquired from a fixed camera on all sides of buildings. When emergency situation is detected, a mobile robot moves and closely examines the place where the emergency is occurred. In order to recognize actions of a few persons using a sequence of images from surveillance cameras images, we need to track and manage a list of the regions which are regarded as human appearances. Interest regions are segmented from the background using MOG(Mixture of Gaussian) model and continuously tracked using appearance model in a single image. Then we construct a MHI(Motion History Image) for a tracked person using silhouette information of region blobs and model actions. Emergency situation is finally detected by applying these information to neural network. And we also implement mobile robot tracking technology using the distance between the person and a mobile robot.

• Smart Media Journal
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• v.11 no.2
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• pp.9-17
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• 2022

The purpose of this study is to implement a predictive model to support decision-making to replace a starting pitcher before a crisis situation in a baseball game. To this end, using the Major League Statcast data provided by Baseball Savant, we implement a predictive model that preemptively replaces starting pitchers before a crisis situation. To this end, first, the crisis situation that the starting pitcher faces in the game was derived through data exploration. Second, if the starting pitcher was replaced before the end of the inning, learning was carried out by composing a label with a replacement in the previous inning. As a result of comparing the trained models, the model based on the ensemble method showed the highest predictive performance with an F1-Score of 65%. The practical significance of this study is that the proposed model can contribute to increasing the team's winning probability by replacing the starting pitcher before a crisis situation, and the coach will be able to receive data-based strategic decision-making support during the game.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.7
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• pp.443-450
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• 2013

The high portability and mobility of mobile devices have given rise to critical concerns with regard to mobile situation-aware services that utilize user situation information in the mobile domain. Mobile situation-aware services for mobile devices are provided by collecting and analyzing data, from which the user situation is inferred through an inference system. However, the high mobility of the mobile domain has made it difficult to infer the required results. In addition, previous studies have not identified a systematic approach to modifying and adapting. In this paper, we propose a systematic feedback process model based on software cybernetics in order to address the abovementioned problems. Further, we propose a MADA(Monitoring, Analysis, Determinating, Adaptation) framework for the feedback process model. Thus, the proposed approach supports the development of self-adaptive mobile situation-aware services that can infer appropriate results and manage the inferred results systematically.

• Journal of Information Technology Services
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• v.8 no.4
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• pp.201-214
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• 2009

Today many corporations converge clients' needs and IT technology, and then they are developing new service model in order to survive global situation. The changes of manufacturing industry from simple manufacture to industry for focus on services is getting speeded up, because not only growth of service part but also enlargement in creating value in services is expected. And services through collaboration with knowledge based service and only manufacturing industry is important. In this situation, this thesis is willing to propose methodology for Inter-Industry Collaboration Service Model. The proposed methodology includes procedures which develops service model, plans for Inter-Industry Collaboration Service Model and evaluating framework. Also, this applied case studies. I look forward to offering useful guideline on the proposed methodology in this study to corporations that try to create new service model through Inter-Industry Collaboration Service Model.

• The Journal of Korean Academic Society of Nursing Education
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• v.20 no.2
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• pp.212-222
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• 2014

Purpose: The purpose of this study was to evaluate the nursing students' clinical judgment skills in simulation using Tanner's Clinical Judgment Model. Method: Forty-five teams of a total 93 nursing students participated in a post-operative patient care scenario using human patient simulator. Data were collected from students' responses in scenario and guided reflective journaling according to the framework of Tanner's model which comprised noticing, interpreting, responding, and reflecting on response. Data were analyzed using descriptive statistics. Results: The students' responses of the situation were in accordance with the goals of scenario, i.e. relieving patient' pain and preventing pulmonary complications. However, most of students needed clinical cues and focused on a given clue to solve the issues. They were lack of ability to collect additional information as well as connect the relevant clues in simulated clinical situation. Conclusion: The nursing students have difficulty in what they notice, how they interpret finding, and respond appropriately to the situation. The simulation training using Tanner's model could provide faculty and nursing students with an effective teaching and learning strategy to develop the clinical judgment skills.

• Journal of the military operations research society of Korea
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• v.26 no.2
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• pp.75-89
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• 2000

This paper deals with complex system theory to describe guerrilla warfare situation using EINSTein (Enhanced ISAAC Neural Simulation Tool) simulation model. EINSTein model is an agent-based artificial "laboratory" for exploring self-organized emergent behavior in land combat. Many studies have shown that existing Lanchester equations used in most guerrilla warfare models do not describe changes of combat units, real guerrilla warfare situation and qualitative factors in combat. Future warfare will be information warfare with various weapon system and complex combat units. We have compared and tested results with Lanchester models and EINSTein model. And the EINSTein model has been applied and analyzed to guerrilla warfare model (C4I facilities, coastal, urbanized terrain critical facilities defense). The results show that the EINSTein model has a possibility to apply and analyze guerrilla warfare more properly than Lanchester models.