• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.709-713
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• 2009

Recently, a lot of research that applies data acquired from devices such as cameras and RFIDs to context aware services is being performed in the field on Life-Log and the sensor network. A variety of analytical techniques has been proposed to recognize various information from the raw data because video and audio data include a larger volume of information than other sensor data. However, manually watching a huge amount of media data again has been necessary to create supervised data for the update of a class or the addition of a new class because these techniques generally use supervised learning. Therefore, the problem was that applications were able to use only recognition function based on fixed supervised data in most cases. Then, we proposed a method of acquiring supervised data from a video sharing site where users give comments on any video scene because those sites are remarkably popular and, therefore, many comments are generated. In the first step of this method, words with a high utility value are extracted by filtering the comment about the video. Second, the set of feature data in the time series is calculated by applying functions, which extract various feature data, to media data. Finally, our learning system calculates the correlation coefficient by using the above-mentioned two kinds of data, and the correlation coefficient is stored in the DB of the system. Various other applications contain a recognition function that is used to generate collective intelligence based on Web comments, by applying this correlation coefficient to new media data. In addition, flexible recognition that adjusts to a new object becomes possible by regularly acquiring and learning both media data and comments from a video sharing site while reducing work by manual operation. As a result, recognition of not only the name of the seen object but also indirect information, e.g. the impression or the action toward the object, was enabled.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.10
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• pp.5260-5275
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• 2019

In the process of constructing the traditional offensive and defensive game theory model, these are some shortages for considering the dynamic change of security risk problem. By analysing the critical indicators of the incomplete information game theory model, incomplete information attack and defense game theory model and the mathematical engineering method for solving Bayes-Nash equilibrium, the risk-averse income function for information assets is summarized as the problem of maximising the return of the equilibrium point. To obtain the functional relationship between the optimal strategy combination of the offense and defense and the information asset security probability and risk probability. At the same time, the offensive and defensive examples are used to visually analyse and demonstrate the incomplete information game and the Harsanyi conversion method. First, the incomplete information game and the Harsanyi conversion problem is discussed through the attack and defense examples and using the game tree. Then the strategy expression of incomplete information static game and the engineering mathematics method of Bayes-Nash equilibrium are given. After that, it focuses on the offensive and defensive game problem of unsafe information network based on risk aversion. The problem of attack and defense is obtained by the issue of maximizing utility, and then the Bayes-Nash equilibrium of offense and defense game is carried out around the security risk of assets. Finally, the application model in network security penetration and defense is analyzed by designing a simulation example of attack and defense penetration. The analysis results show that the constructed income function model is feasible and practical.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.47-53
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• 2019

This study examined the effects of risk aversion on the Self-Insurance-cum-Protection activity (SICP) in a two period model, which is in contrast to existing studies that focused on an one period model. The assumption that there is a time difference between making an effort and incurring loss helps examine the effects of risk aversion in the long-term period. An increase in risk aversion always increases the efforts of SICP, whereas existing studies require additional restrictions to both the loss and cost function. Second, an increase in risk aversion always increases the efforts on self-insurance and self-protection. This result is in contrast to that of existing studies in that an increase in risk aversion increases the efforts of self-insurance, whereas the effects on the efforts of self-protection are unclear. Lastly, when there exists a background risk with zero mean and risk aversion increases in a two period model, the prudence condition of the utility function is a sufficient condition to increase the efforts of SICP.

• Journal of Korean Society of Forest Science
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• v.88 no.1
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• pp.117-123
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• 1999

Consumer surplus is to be a value concerning a time horizon. Especially it is very important how long time horizon would be chosen in contingent market. This study aimed to provide causes of difference recreation benefits through discount rate in many aspects. The data were collected by personal interviews with visitors in Songnisan National Park. The respondents answered yes or no, dichotomous choice, on recreation benefits according to a chosen time horizon, one year or five years. The probit model was used in the analysis. In order to avoid the truncation bias of upper bound, the median was chosen as the recreation benefits of visitor. As the result, the value was evaluated to be 16,569 Won for one year and 27,111 Won for five years. The discount rate is estimated 153% annually to coincide different recreation benefits. The reasons of the high discount rate were to be interpreted as following five types : (1)uncertainty of future consumption (2)increasing of probability of the substitution owing to increasing of time horizon (3)recognization of different time horizons (4) effect by the price ratio of goods and utility function (5) overestimation of the recreation benefits owing to a basic premium of payment vehicle.

• The Korean Journal of Nuclear Medicine
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• v.34 no.6
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• pp.497-507
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• 2000

Purpose: We have examined the utility of $^{99m}Tc$-MAG3 perfusion indices for assessing renal graft function in early post-transplantation period. Materials and Methods: Our study included 80 renal transplant recipients (48 men and 32 women, mean age: 40.3 years). Diagnosis was based on biopsy, laboratory data and clinical course. Renal scintigraphy (RS) was obtained using 100 MBq of $^{99m}Tc$-MAG3 from 11 days to 23 days of kidney transplantation. We measured 5 indices in whole-kidney (WK) and cortical (C) renograms; Hilson's perfusion index (PI), transplant perfusion index (TP) and transplant function index (TF) as perfusion parameter, and the time to peak activity (Tmax) and the ratio of renal counts at 20 min to that at 3 min (K20/3) as functional parameter. Results: The diagnoses at the day of RS were normal graft (NG) in 44, acute rejection (AR) in 14, acute tubular necrosis (ATN) in 10, and Cyclosporine A nephrotoxicity (CsA) in 12. TP and TF were significantly decreased in AR, ATN and CsA, compared to those in NG. K20/3 of AR and ATN wore significantly greater than that of NG. WK-Tmax of AR was significantly longer than that of NG. K20/3 of AR and C-K20/3 of ATN were significantly prolonged relative to those of CsA. There were no statistically significant perfusion indices among complication groups. Conclusion: TP and TF reflecting microperfusion and initial tubular extraction are reliable in assessing graft function. However, it is required to correlate perfusion indices with functional indices and clinical course in differentiating from one another among complication groups.

• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.41-53
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• 2015

In meteorological field, many researchers have tried to develop micro scale weather analysis modules for providing real-time weather information service in the metropolitan area. This effort enables us to cope with various economic and social harms coming from serious change in the micro meteorology of a metropolitan area due to rapid urbanization such as quantitative expansions in its urban activity, growth of population, and building concentration. The accuracy of the micro scale weather analysis modules (MSWAM) directly related to usefulness and quality of the real-time weather information service in the metropolitan area. This paper design a evaluation system along with verification tools that sufficiently accommodate spatio-temporal characteristics of the outputs of the MSWAM. For this we proposes a test for the equality of mean vectors of the output series of the MSWAM and corresponding observed time series by using a spectral analysis technique. As a byproduct, a time series cluster analysis method, using a function of the test statistic as the distance measure, is developed. A real data application is given to demonstrate the utility of the method.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.42 no.5
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• pp.417-425
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• 2009

The potential utility of fish scales to the functional food industry has been investigated due to its antioxidant and antihypertensive characteristics. In this study, we report on the reactive oxygen species (ROS) scavenging and angiotensin I converting enzyme (ACE) inhibitory activities of gelatin hydrolysates processed from Branchiostegus japonicus scales, which are also high in protein content (about 46.1%). We prepared the enzymatic gelatin hydrolysates with four proteases (${\alpha}$-chymotrypsin, Alcalase, Neutrase and trypsin) from B. japonicus scale gelatin, which was prepared according to different reaction times, substrate/enzyme ratios and substrate concentrations. The enzymatic hydrolytic degrees of the gelatin increased time-dependently up to 6 hrs, while the Alcalase gelatin hydrolysates showed the highest hydrolysis degrees compared to the others. Furthermore, gelatin hydrolysates of Neutrase and ${\alpha}$-chymotrypsin showed the highest DPPH radical and $H_2O_2$ scavenging activities ($IC_{50}$ value; 9.18 mg/mL and 9.74 mg/mL), respectively. However, the activities were not significant (P<0.05). We also observed that the four gelatin hydrolysates significantly increased ACE inhibitory activities from approximately 20% to 60% (P<0.05), Among them, the Alcalase gelatin hydrolysates showed the higher ACE inhibitory activity ($IC_{50}$ value; 0.73 mg/mL) compared to the others. These results suggest that the enzymatic gelatin hydrolysates prepared from B. japonicus scales may possess a potentially useful function as an ACE inhibitory agent. As such, the utility of B. japonicus scales should be given due consideration for application in the functional food industry.

• Journal of Intelligence and Information Systems
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• v.14 no.3
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• pp.59-76
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• 2008

In this paper, we propose an agent architecture called L-CAA that is quite effective in real-time dynamic environments. L-CAA is an extension of CAA, the behavior-based agent architecture which was also developed by our research group. In order to improve adaptability to the changing environment, it is extended by adding reinforcement learning capability. To obtain stable performance, however, behavior selection and execution in the L-CAA architecture do not entirely rely on learning. In L-CAA, learning is utilized merely as a complimentary means for behavior selection and execution. Behavior selection mechanism in this architecture consists of two phases. In the first phase, the behaviors are extracted from the behavior library by checking the user-defined applicable conditions and utility of each behavior. If multiple behaviors are extracted in the first phase, the single behavior is selected to execute in the help of reinforcement learning in the second phase. That is, the behavior with the highest expected reward is selected by comparing Q values of individual behaviors updated through reinforcement learning. L-CAA can monitor the maintainable conditions of the executing behavior and stop immediately the behavior when some of the conditions fail due to dynamic change of the environment. Additionally, L-CAA can suspend and then resume the current behavior whenever it encounters a higher utility behavior. In order to analyze effectiveness of the L-CAA architecture, we implement an L-CAA-enabled agent autonomously playing in an Unreal Tournament game that is a well-known dynamic virtual environment, and then conduct several experiments using it.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.7B
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• pp.685-696
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• 2004

Real-time multimedia applications that require large amount of bandwidth need resource reservation before starting service for providing the QoS(i.e., Quality of Service). To reserve resources in advance, each reservation request has to notify its expectation on the required amount of resources and service duration. Using this information, a resource manager can schedule advance reservations. However, most existing resource management systems are adopting straightforward call admission control process (i.e., only immediate reservation) by checking currently available resources without considering the service duration. Hence, the resource management system that supports advance reservation has to manage confliction caused by indefinite service duration of immediate reservation. Even though the separation of resource pool according to type of reservation can prevent the confliction, it causes low resource utilization. In this paper, we propose an effective resource management scheme that supports both immediate and advance reservations by sharing resources dynamically. Using network cost function, the proposed scheme determines and adaptively adjusts resource boundary according to the confliction rate by varying weight parameters. And also, we define user utility function to quantify user satisfaction based on how well the reserved resource is guaranteed during service time. Simulation results using NS-2 network simulator show that the proposed scheme can achieve better resource utilization with preferable QoS than other schemes like static resource partitioning.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.49-62
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• 2020

Musicals are plays in which songs and dances are closely aligned with the plot development of the play, and songs and dances develop specific situations and a series of events. In particular, songs perform a fuction of causing the significant changes and emotional ventilation and amplification in the play by specifically capturing the goals and actions the characters are aiming for. This paper focuses on the song that takes on the function of the plot deployment, defines songs that embody actions and stories on stage' as 'action songs' and highlights their role and importance. Action Song is not a clearly defined or prescribed term in Musical. However, 'Action Song' is a song about how a character's desire or motivation for action, given as a 'character song' inserted at the beginning of an integrated musical play, provides a conflict that is a central event of action. In other words, 'action song' means a song that organically combines music and narrative by conveying the action on the stage as a song with lyrics. In addition, it is a song that moves the plot forward and contains a series of events or actions that are the material of the plot. This paper is intended to summarize the concept of'Action song which is not well known to us, and to lay the foundation of the stud, learned the concept, function and efficiency by the analyses of script and music of the musical . As a result, action songs accumulate and amplify tension caused by conflicts and induce the audience to immerse in their emotions. At the same time, the action song multiplies fun and interest of the play while the audience's expectation increased for the next scene after the action song and the progression of the play with single action makes the contents of the drama to be understood clearly.