• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.10
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• pp.3538-3556
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• 2014

This paper proposes a novel video stitching method that improves real-time performance and visual quality of a multi-camera video surveillance system. A two-stage seam searching algorithm based on enhanced dynamic programming is proposed. It can obtain satisfactory result and achieve better real-time performance than traditional seam-searching methods. The experiments show that the computing time is reduced by 66.4% using the proposed algorithm compared with enhanced dynamic programming, while the seam-searching accuracy is maintained. A real-time local update scheme reduces the deformation effect caused by moving objects passing through the seam, and a seam-based local color transfer model is constructed and applied to achieve smooth transition in the overlapped area, and overcome the traditional pixel blending methods. The effectiveness of the proposed method is proved in the experiements.

• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.537-540
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• 2000

The Distribution System consist of many tie-line switches and sectionalizing switches, operated a radial type. When an outage occurs in Distribution System, outage areas are isolated by system switches, has to restored as soon as possible. At this time, system operator have to get a information about network topology for service restoration of outage areas. Therefore, the searching result of restorative topology has to fast computation time and reliable result topology for to restore a electric service to outage areas, equal to optimal switching operation problem. So, the problem can be defined as combinatorial optimization problem. The service restoration problem is so important problem which have outage area minimization, outage loss minimization. Many researcher is applying to the service restoration problem with various techniques. In this paper, advanced Dijkstra algorithm is applied to searching a restoration topology, is so efficient to searching a shortest path in graph type network. Additionally, fuzzy rules and operator are applied to overcome a fuzziness of correlation with input data. The present technique has superior results which are fast computation time and searching results than previous researches, demonstrated by example distribution model system which has 3 feeders, 26 buses. For a application capability to real distribution system, additionally demonstrated by real distribution system of KEPCO(Korea Electric Power Corporation) which has 8 feeders and 140 buses.

• The Korean Journal of Applied Statistics
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• v.13 no.2
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• pp.353-369
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• 2000

We systematized an stratified spatial sample design(SSSD) that uses the adequate stratification criteria such as the shapeness or the dispersion of an interesting region in a spatial population. And we proposed an adaptive searching estimation method in the SSSD to estimate the area of region of interest in two-dimensional surfaces. When wc adopt the proposed adaptive searching estimation method in SSSD, the observing sample size is more decreased than a classical sample design that all the designed sample size is observed. Nevertheless it has been shown that we can produce the moderate result but the efficiency is a slight reduced.

• Journal of Preventive Medicine and Public Health
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• v.34 no.4
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• pp.389-398
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• 2001

Objectives : To investigate the information searching behavior of health care consumers according to sociodemographic characteristics. Methods : A questionnaire survey was conducted of 1,507 persons who were selected through a multi-stage stratified area cluster sampling of the Republic of Korea, excluding the province of Jeiu-do. Personal were conducted through a door-to-door survey between 27 July and 10 August 1999. Results : 80.5% of respondents used more than one source of information and those $40\sim59$ years of age, female, a housewife or student and those who claimed a religion demonstrated more active information searching behavior. A personal informer was used significantly more in those $20\sim39$ years old, female, and those who claimed a religion. Clerical workers, those with post-secondary education and a monthly income greater than 2,000,000 won ($1500) were more actively used a public informer. Low socioeconomic status and older persons used an experimental informer when they chose a health care institution. Conclusion : Regardless of the sociodemographic characteristics, personal and experimental informers were the most useful source of information. Because appropriate information was not easy to obtain, the health care consumer was dependent upon word-of-mouth communication(personal informer) when using health care services.

• Korea Journal of Hospital Management
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• v.8 no.1
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• pp.95-111
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• 2003

The purpose of this study was to evaluate the information searching behavior of consumer by type of medical institution. A questionnaire survey was conducted of 1,507 persons who were selected through a multi-stage stratified area cluster sampling in nationwide level, excluding Jeju-Do. Personal survey was conducted through door-to door survey from 27 July to 10 August 1999. The main results of this research was as following; 1. The proportion of information searching of respondents ranged from 91.5-95.2%. Even though the proportion of user in university hospital was slightly high, there was not significant statistically by type of medical institution. In terms of information source, personal informer was most common information source in all type of medical institution. Public informers were more frequently used in university hospital visitors and professional informer in general and university hospital visitors. 2. Comparing to searching intensity, user informer and professional informer's influences were more powerful, but not statistically significant. In analysis of unit influence for information source, written informer or public informer was more powerful in clinic visitor, professional informer and written informer in university hospital visitor. 3. Information which consumer want to know mostly were about on special potential and career of physician. The clinic visitor wanted to know about institutional location and kindness of medical personnel. The university hospital visitor also wanted to know about facilities and convenience of process. Comparing to institution selection criteria of consumers at 1991, quality related criteria were recognized more importantly in outpatient and dental services. But in case of inpatient services, convenience factor was recognized more importantly. In conclusion, the effort for specific marketing plan by type of medical institution should be needed. And more concern on information searching behavior of consumer will be needed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.4
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• pp.11-21
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• 2015

In order to achieve success in ground operations, searching for moving targets is one of critical factors. Usually, the system of searching for adversary ground moving targets has complex properties which includes target's moving characteristics, camouflage level, terrain, weather, available search time window, distance between target and searcher, moving speed, target's tactics, etc. The purpose of this paper is to present a practical quantitative method for effectively searching for infiltrated moving targets considering aforementioned complex properties. Based upon search theories, this paper consists of two parts. One is infiltration route analysis, through terrain and mobility analysis. The other is building dynamic probability maps through Monte Carlo simulation to determine the prioritized searching area for moving targets. This study primarily considers ground moving targets' moving pattern. These move by foot and because terrain has a great effect on the target's movement, they generally travel along a constrained path. With the ideas based on the terrain's effect, this study deliberately performed terrain and mobility analysis and built a constrained path. In addition, dynamic probability maps taking terrain condition and a target's moving speed into consideration is proposed. This analysis is considerably distinct from other existing studies using supposed transition probability for searching moving targets. A case study is performed to validate the effectiveness and usefulness of our methodology. Also, this study suggests that the proposed approach can be used for searching for infiltrated ground moving target within critical time window. The proposed method could be used not only to assist a searcher's mission planning, but also to support the tactical commander's timely decision making ability and ensure the operations' success.

• International Area Studies Review
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• v.16 no.1
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• pp.221-239
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• 2012

The purpose of this paper is to investigate the impact of internet shopping motivations on information searching intention, customer satisfaction and purchase intention. To achieve this goal, literature review and empirical studies were conducted in parallel. The results of this study are as follows: First, the motives of internet shopping of Chinese consumers were found to be in four dimensions, "seeking convenience," "seeking low-cost," "seeking variety" and "seeking pleasures", in order of large proportions, respectively. Second, Among these four internet shopping motivations "seeking convenience,""seeking variety" and "seeking pleasures" were found to have direct, significant and positive effects on information searching intention. But "seeking low-cost" has no positive effects on information searching intention. Third, information searching intention was found to have direct impact on customer satisfaction and purchase intention. Fourth, Customer satisfaction has an direct and positive effects on purchase intention.

• Journal of Korean Society for Geospatial Information Science
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• v.1 no.1 s.1
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• pp.141-152
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• 1993

This study aims to generate digital elevation model from digital satellite imagery. Digital elevation model is being increasingly used for geo-spatial information system database development and for digital map production. Image matching technique was applied to acquire conjugate image coordinates and the algorithm for digital elevation model generation is presented in this study The exterior orientation parameters of the satellite imagery is determined by bundle adjustment and standard correlation was applied for image matching conjugate of image points. The window as well as the searching area have to be defined in image matching. Different sizes of searching area were tested to study the appropriate size of the searching area. Various coordinate transformation methods were applied to improve the computation speed as well as the geometric accuracy. The results were then statistically analysed after which the searching area is determined with the safety factor. To evaluate the accuracy of digital elevation model, 3-D coordinates were extracted from 1/5000 scale topographic map and this was compared to the digital elevation model generated from satellite imagery. The algorithm for generation of digital elevation model generated from satellite imagery is presented in this study which will prove effective in the database development of geo-spatial information system and in digital elevation modelling of large areas.

• Journal of Power System Engineering
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• v.21 no.3
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• pp.60-65
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• 2017

A GA is one of the best method to find optimal value in searching area. A GA is driven by probabilistic selection that based on the survival of the fittest. So this algorithm need a huge solving time even if it can be used lots of optimizing problem such as structural design, machine learning, system's identification and so on. This GA's characteristic constrain the program to drive offline. Some studies try to use this algorithm on online or reduce the GA's running time with parallel GA or micro GA. Unfortunately these studies still didn't reduce amount of fitness solving. If the chromosome was imported to the system, it affected system's stability. And when the control system uses online GA, it also doesn't have enough learning time. In this study, try to find stability criterion to reduce the chromosome's affection and find the characteristic of the number of population and generation when GA was driven into the wide searching area.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.6
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• pp.1-9
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• 2013

The studies on the shortest path algorithms based on Dijkstra algorithm has been done continuously to decrease the time for searching. $A^*$ algorithm is the most represented one. Although fast searching speed is the major point of $A^*$ algorithm, there are high rates of failing in search of the shortest path, because of complex and irregular networks. The failure of the search means that it either did not find the target node, or found the shortest path, witch is not true. This study proposed $A^*$ algorithm applying method that can reduce searching failure rates, preferentially organizing the relations between the starting node and the targeting node, and appling it in reverse according to the organized path. This proposed method may not build exactly the shortest path, but the entire failure in search of th path would not occur. Following the developed algorithm tested in a real complex networks, it revealed that this algorithm increases the amount of time than the usual $A^*$ algorithm, but the accuracy rates of the shortest paths built is very high.