• KIPS Transactions on Software and Data Engineering
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• v.7 no.3
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• pp.99-106
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• 2018

In the process of acquiring information through the cyber ISR (Intelligence Surveillance Reconnaissance) and research into the agent to help decision-making, periodic communication between the C&C (Command and Control) server and the agent may not be possible. In this case, we have studied how to effectively surveillance and reconnaissance. Due to the network configuration, agents planted on infiltrated computers can not communicate seamlessly with C&C servers. In this case, the agent continues to collect data continuously, and in order to analyze the collected data within a short time in When communication is possible with the C&C server, it can utilize limited resources and time to continue its mission without being discovered. This research shows the superiority of incremental learning method over batch method through experiments. At an experiment with the restricted memory of 500 mega bytes, incremental learning method shows 10 times decrease in learning time. But at an experiment with the reuse of incorrectly classified data, the required time for relearn takes twice more.

• Journal of Korean Society of Transportation
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• v.19 no.5
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• pp.119-134
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• 2001

This paper proposed a dynamic transit vehicle simulation model and a dynamic transit passengers simulation model, which can simultaneously simulate the transit vehicles and passengers traveling on a transit network, and also developed an algorithm of dynamic departure time choice model based on individual passenger. The proposed model assumes that each passenger's behavior is heterogeneous based on stochastic process by relaxing the assumption of homogeneity among passengers and travelers have imperfect information and bounded rationality to more actually represent and to simulate each passenger's behavior. The proposed model integrated a inference and preference reforming procedure into the learning and decision making process in order to describe and to analyze the departure time choices of transit passengers. To analyze and evaluate the model an example transit line heading for work place was used. Numerical results indicated that in the model based on heterogeneous passengers the travelers' preference influenced more seriously on the departure time choice behavior, while in the model based on homogeneous passengers it does not. The results based on homogeneous passengers seemed to be unrealistic in the view of rational behavior. These results imply that the aggregated travel demand models such as the traditional network assignment models based on user equilibrium, assuming perfect information on the network, homogeneity and rationality, might be different from the real dynamic travel demand patterns occurred on actual network.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.2
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• pp.261-268
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• 2018

The study used the simplified flooding analysis model, SIMOD, to distribute the total flood discharge by time, so research on flooding in urban areas can be conducted. The conventional flooding analysis models have limitations in constructing input data and take a long time for analysis. However, SIMOD is useful because it supports rapid decision-making process using quick modeling based on simple hydrological data, such as topography and inflow flood of the study area, to analyze submerged routes formed by flooding. Therefore, the study used the SIMOD model to analyze flooding in urban areas before conducting a comparative study with the outputs from FLO-2D, which is one of the conventional flooding analysis models, to identify the model's applicability. Seongseoje was selected as the study area, as it is located downstream the Geumho river where streams flow in the adjacent areas, and dikes are high enough to apply the "Overflow and Break" scenario for urban areas. With regard to topography, the study applied DEM data for the conventional flooding analysis and DSM data to represent urban building communities, distribution of roads, etc. Input flood discharge was calculated by applying the rectangular weir equation under the bank and break scenario through a 200-year return period of a design flood level. Comparative analysis was conducted in a flooded area with a simulation time of 1-24 hours. The time for the 24-hour simulation in SIMOD was less than 7 minutes. Compared with FLO-2D, the difference in flooded areas was less than 20%. Furthermore, the study identified the need for topography data using DSM for urban areas, as the analysis result that applies DSM showed the influence of roads and buildings.

• Spatial Information Research
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• v.14 no.1 s.36
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• pp.163-176
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• 2006

The concept of 'spatial association' explains spatial distribution pattern of geographical phenomenon based on similarity with neighborhoods, as in the Tobler's Law of Geography: 'Everything is related to everything else, but near things are more related than distant things.' In this study, we develop a time-series exploratory analysis tool for discovering temporal patterns of spatial association by combining spatial statistics and geo-visualization, and thus present a possibility to support spatial decision-making process. As for the spatial proximity weight matrix indispensable to measuring global and local spatial association, we employ a variety of flexible weighting schemes using geometric characteristics of areal unit. In addition, we renovate the existing visualization methods for more effective understanding of the procedures and results of time-series analysis on spatial association: for instance, temporal parallel coordinate plot with box plot, animated map for spatial association, and 3D Moran scatterplot. The feasibility of our system is verified by time-series analysis experiments on the spatial association of land price fluctuation rate for all administrative units in Korea, $1995{\sim}2004$.

• International Journal of Advanced Culture Technology
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• v.5 no.1
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• pp.58-63
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• 2017

Emergencies and disasters can happen any time without any warning, and things can change and escalate very quickly, and often it is swift and decisive actions that make all the difference. It is a responsibility of the building facility management to ensure that a proven evacuation plan in place to cover various worst scenario to handled automatically inside the facility. To mapping out optimal safe escape routes is a straightforward undertaking, but does not necessarily guarantee residents the highest level of protection. The emergency evacuation navigation approach is a state-of-the-art that designed to evacuate human livings during an emergencies based on real-time decisions using live sensory data with pre-defined optimum path finding algorithm. The poor decision on causalities and guidance may apparently end the evacuation process and cannot then be remedied. This paper propose a cloud connected emergency evacuation system model to react dynamically to changes in the environment in emergency for safest emergency evacuation using IoT based emergency exit sign system. In the previous researches shows that the performance of optimal routing algorithms for evacuation purposes are more sensitive to the initial distribution of evacuees, the occupancy levels, and the type and level of emergency situations. The heuristic-based evacuees routing algorithms have a problem with the choice of certain parameters which causes evacuation process in real-time. Therefore, this paper proposes an evacuee routing algorithm that optimizes evacuation by making using high computational power of cloud servers. The proposed algorithm is evaluated via a cloud-based simulator with different "simulated casualties" are then re-routed using a Dijkstra's algorithm to obtain new safe emergency evacuation paths against guiding evacuees with a predetermined routing algorithm for them to emergency exits. The performance of proposed approach can be iterated as long as corrective action is still possible and give safe evacuation paths and dynamically configure the emergency exit signs to react for real-time instantaneous safe evacuation guidance.

• Korean Journal of Food Science and Technology
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• v.37 no.5
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• pp.850-855
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• 2005

Model was developed to predict the growth of Listeria monocytogenes in raw pork. Experiment condition for model development was full 5-by-7 factorial arrangements of temperature (0, 5, 10, 15, and $20^{\circ}C$) and time (0, 1, 2, 3, 18, 48, and 120 hr). Gompertz values A, C, B, and M, and growth kinetics, exponential growth rate (EGR), generation time (GT), lag phase duration (LPD), and maximum population density (MPD) were calculated based on growth increased data. GT and LPD values gradually decreased, whereas EGR value gradually increased with increasing temperature. Response surface analysis (RSA) was carried out using Gompertz B and M values, to formulate equation with temperature being main control factor. This equation was applied to Gompertz equation. Experimental and predictive values for GT, LPD, and EGR, compared using the model, showed no significant differences (p<0.01). Proposed model could be used to predict growth of microorganisms for exposure assessment of MRA, thereby allowing more informed decision-making on potential regulatory actions of microorganisms in raw pork.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.99-104
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• 2021

In this paper, we propose health risk management using feature extraction and cluster analysis considering time flow. The proposed method proceeds in three steps. The first is the pre-processing and feature extraction step. It collects user's lifelog using a wearable device, removes incomplete data, errors, noise, and contradictory data, and processes missing values. Then, for feature extraction, important variables are selected through principal component analysis, and data similar to the relationship between the data are classified through correlation coefficient and covariance. In order to analyze the features extracted from the lifelog, dynamic clustering is performed through the K-means algorithm in consideration of the passage of time. The new data is clustered through the similarity distance measurement method based on the increment of the sum of squared errors. Next is to extract information about the cluster by considering the passage of time. Therefore, using the health decision-making system through feature clusters, risks able to managed through factors such as physical characteristics, lifestyle habits, disease status, health care event occurrence risk, and predictability. The performance evaluation compares the proposed method using Precision, Recall, and F-measure with the fuzzy and kernel-based clustering. As a result of the evaluation, the proposed method is excellently evaluated. Therefore, through the proposed method, it is possible to accurately predict and appropriately manage the user's potential health risk by using the similarity with the patient.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.331-336
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• 2004

In order to strengthen the competitiveness of port against calling for the huge vessel and reducing the shipping service time, the productivity of container terminal must be improved. This productivity variously results according to the kinds of productivity evaluation model, input elements like yard, equipment, employee, facility, etc,. But, it is discussed that the productivity is measured by partial productivity evaluation model or general input elements. Therefore, we measured for the productivity of the container terminal using the Developed the data Envelopment Analysis (DEA), which is developed in order to evaluate the relative efficiency of decision making units - it's difficult to clear cause and effect between input and output. We measured the whole productivity of container terminal in Busan according to decision of the correct input elements. And we investigated the change of the productivity measurement result according to input elements, presents more accurate productivity evaluation model in container terminal.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.39
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• pp.179-220
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• 2008

The notion of the 'court' is most unique to ICC arbitration. This paper focuses on what the court is and how it works and what the role and the duties of the Court under the ICC arbitration imply for the KCAB International Arbitration Rules. The Court is an administrative body that administers arbitrations taking place under the ICC Rules of Arbitration. The Court consists of 126 members from 88 countries around the world. Court members participate in decision-making process by way of attending the committee sessions and plenary sessions. At the Court's committee sessions, the Court fixes advance on costs; reviews the prima facie existence of arbitration agreements; fixes the place and language of arbitration, and the number of arbitrator(s); confirms and approves arbitrators; scrutinizes draft awards, determines the costs of arbitration; decides on extensions related to Terms of Reference, draft awards and correction and interpretation of the awards. At the Court's plenary sessions, the Court performs only two responsibilities: the challenge or replacement of arbitrators or the scrutiny of draft awards. The Court is required to scrutinize draft awards involving states or state entities, drafts with huge amounts in dispute or complex technical or legal questions, and as well as draft awards to which a dissenting opinion has been attached. Turning to the KCAB International Arbitration Rules, Article 1(3) provides that the KCAB shall establish an International Arbitration Committee. Further, it is provided that the KCAB shall consult with the said Committee with respect to challenge and replacement/removal of arbitrators pursuant to Article 1(3). The notion and role of the International Arbitration Committee was originally adapted from the Court to ICC arbitration, but its role was quite reduced in the process of enactment of its Rules. Accordingly, I examined the detailed roles of the Court to ICC arbitration in this paper and hereby suggest that the KCAB International Arbitration Rules shall be amended in the following ways: The Secretariat of the KCAB shall: fix advance on costs at the first stage and the costs of arbitration at the final stage of the proceedings; determine the number of arbitrators; review the prima facie of existence of arbitration agreement; confirm arbitrators; decide extensions related to time table, draft awards and correction and interpretation of the awards. I, also, suggest that the arbitral tribunals shall fix the place of arbitration and the language of arbitration and make a final decision on the validity of arbitration agreement. With regard to the International Arbitration Committee, it is desirable for its Rules to empower the Committee to recommend any prospective arbitrator and to review and decide challenge and replacement/removal of arbitrators.

• Culinary science and hospitality research
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• v.9 no.4
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• pp.136-151
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• 2003

The summarized analysis result of this research is as follows. First, regarding the difference of preceding variable and dependent variable, statistically considerable difference did not appear between self determination and personal relations in educational background and between groups of self determination in hotel type, and statistically considerable difference appeared among other groups. Second, regression analysis result between empowerment and job satisfaction turned out that statistically considerable influence is exerted in the order of personal relations ability, influence power, role performance ability and self-decision nature. Third, regression analysis result between empowerment and job devotion turned out that statistically considerable influence is exerted in the order of personal relations ability, role performance ability and influence power. Fourth, regression analysis result between empowerment and organization devotion turned out that statistically considerable result is exerted in the order of influence power and personal relations ability. Fifth, it turned out that statistically relative high correlation existed among correlation of empowerment and result variable such as job satisfaction, job devotion and organization devotion. The above-mentioned matters considered, this research proposes following points. This research examines the effect of empowerment on job satisfaction and organizational commitment of culinary staff in the hotel. the effect of the variable of empowerment on result variable shows that role performance ability, influence power and personal relations ability are important variables. Therefore, to improve the role performance ability of members of kitchen, it is essential for each individual to improve their ability and to have confidence at the time of business performance. So, this research implies that consistent and systematic training is necessary for increasing the ability and confidence. In order to improve influence power, it is necessary for members of an organization to have strong faith that their jobs determine the success of the company, and to increase the sense of self-control by letting them have the right of self determination, so that all members may have strong desire to transact business. This research implies that in order to improve personal relations ability, it is necessary for members of an organization to discover the best method of decision-making and solve problems through members' developing mutual action, and for managers to take personal characteristics into account so that members may have belief and confidence in their job and realize the value of their job. In conclusion, the person in charge of personnel affairs and the manager in charge of kitchen need to realize the importance of empowerment and especially have an much interest in all parts including self determination, influence power and role performance ability and personal relations ability etc.