• Journal of Satellite, Information and Communications
• /
• v.8 no.1
• /
• pp.77-82
• /
• 2013

The object tracking method using particle filtering has been proved successful since it is based on the Monte Carlo simulation to estimate the posterior distribution of the state vector that is nonlinear and non-Gaussian in the real-world situation. In this paper, we present two nobel methods that can improve the performance of the object tracking algorithm based on the particle filtering. First one is the feedback method that replace the low-weighted tracking sample by the estimated state vector in the previous frame. The second one is an tracking box correction method to find an confidence interval of back projection probability on the estimated candidate object area. An sample propagation equation is also presented, which is obtained by experiments. We designed well-organized test data set which reflects various challenging circumstances, and, by using it, experimental results proved that the proposed methods improves the traditional particle filter based object tracking method.

• Journal of Environmental Impact Assessment
• /
• v.18 no.6
• /
• pp.367-376
• /
• 2009

This paper proposes an application methodology of AHP(Analytic Hierarchy Process) based decision making theory for improvement priority by assessment of various risk factors affecting on deterioration of water supply systems, as major social infrastructure. AHP method is organized with three level of hierarchy which is introduced for multi-criteria decision making in this study. In the first level, assessment outputs are calculated by AHP for each affecting factor. In the second level, criteria are estimated by using assessment results with respect to structural and environmental factors. Consequently, ranking decision is performed in the third level. In order to present the effectiveness, a proposed method is compared with FCP(Fuzzy Composite Programming) for decision making. Since the results of the proposed method show better performance with consistent results, it can be applied as an efficient information for the determination for improvement priority of the study infrastructure.

• Journal of Families and Better Life
• /
• v.24 no.3 s.81
• /
• pp.83-94
• /
• 2006

In order to understand how consumers' buying motivation is formed, that is the starting point of consumer behavior or consumers' decision-making processes, we examined how the interpersonal orientation for consumers is organized to control buying motivation and create a stepping-stone for subjects' behavior in fast varied consumer environments. In addition, we examined what influence this interpersonal orientation has on consumers' buying motivations. The results are shown as follows: First, interpersonal orientation is classified into six categories, according to Cohen's three types, i.e., compliance, detachment I: emotion independence, detachment II: performance independence, detachment III: perception independence, aggressiveness I: competitiveness, aggressiveness II: aggressiveness. Second, based on our inspection of the relation between interpersonal orientation and consumers' buying motivations, for external motivation and internal motivation, the value of R2 in regression seems too low to act as an influencing power on interpersonal orientation, while in case of introjected motivation, identified motivation I: self respect, and identified II: pursuit of harmony, I there seems to be some relationship.

• Education of Primary School Mathematics
• /
• v.14 no.3
• /
• pp.225-236
• /
• 2011

This study basically investigated the mathematics curriculum of Finland. The curriculum is similar with the 2009's revised mathematics curriculum of Korea in terms of formats, but is different in terms of contents. The mathematics curriculum of Finland is organized into grade bands: grade 1-2, grade 3-5, grades 6-9. And also, it provides the purpose of each grade bands, the purpose of each content areas, the expectation of assessment tested at the end of grade bands.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2007.11a
• /
• pp.813-818
• /
• 2007

Construction productivity is a key factor for efficiency evaluation of construction work process, project performance measurement, and basic data of work plan in construction industry. However, although construction productivity is important in construction industry, gathering methodology and analyzing methodology of productivity data are not well-organized therefore productivity data is not utilized in the construction industry The purpose of this study is to develop productivity prediction system using data mining technology based on activities and to suggest frameworks about productivity data collection, accumulation.

• Journal of the Korean Institute of Landscape Architecture International Edition
• /
• no.1
• /
• pp.202-207
• /
• 2001

Covering an area of about 39 ha, Qingming Shanghe Park is located in the northwest of Kaifeng, formerly the capital of seven dynasties in China. It is intended to serve as a tourist attraction based on a painting 〃Qingming Festival at Riverside〃 by Zhang Zeduan of the Northern song Dynasty, which vividly illustrates a real life on the both sides of the Bian River as well as in the urban area, Kaifeng, in early Spring. The park is a collection of varied buildings such as shops, restaurants, tea-houses, theaters, and hotels in the North song style, with an introduction of the history of Kaifeng, this paper examines design philosophy and methodology of the park, and discusses the creative design of the first stage development known as known as The South Area of the park. Marked by the Rainbow Bridge and the City Gate, the South Area is divided into three parts, the rural, suburban, and urban parts which are organized according to the spatial order showed in the painting. The South Area proves to be very successful because of its amazing sense of history and interesting folk performance. Furthermore, the preliminary 9planning of the second stage development known as The North Area is presented with references to culture, history and customs. The North Area is proposed to include the Old Sports & Games Garden, the Exhibition Garden, and the Hot Spring Garden with an appearance of the imperial gardens in the Northern Song, integrated with participation of old sports and games, display of old science & technology achievements, and enjoyment of hot spring bath.

• Journal of Radiation Industry
• /
• v.11 no.1
• /
• pp.33-38
• /
• 2017

RI-Biomics technology is advanced convergence technologies that can be measured in real time and track in vivo behavior and metabolism of substances using characteristics of the radioactive isotope. Its application fields are increasing such as drug development, agriculture, development of new materials and their utilization, etc. In addition, according to domestic and international developments and changes in the RI-Biomics environment, RI-Biomics professionals are needed to train continuously. To develop systematic human resources basement and competency-based curriculum, we perform competency modeling of pedagogical perspective to targeted at high-performance on RI-Biomics. Furthermore, we redefine the competency model and verified by industry experts with focus group interviews. In the result, two general competencies and three professional competencies were extracted by interview. Each competencies are organized six sub-competencies and nine sub-competencies. In the finial steps, the same procedures were repeated to obtain the consensus of experts on derived competencies and behavioral objectives. The results of the study are applicable to enhance human resource management and to develop the curriculum for RI-Biomics expert training. It is expected to be used as reference material of long term-planning for RI-Biomics professional.

• Herbal Formula Science
• /
• v.29 no.4
• /
• pp.253-266
• /
• 2021

Objective : This is to analyze the factors affecting the satisfaction of curriculum at korean medicine college and suggest the direction of the curriculum reformation of korean medicine colleges. Method : The collected data were conducted multiple linear regression analysis using the SPSS ver.26 statistical program, using 'curriculum satisfaction' as a dependent variable after analyzing the frequency of each variable. Result : The average score for curriculum satisfaction at Korean Medicine college was 2.87 points, which was relatively low. The factors affecting the satisfaction of the curriculum were 'A favorable impression of Korean Medicine College of W University' β=0.351(p<.001), 'connectivity between major subjects' β=0.312(p<.001), 'duplex between major subjects' β=-0.163(p<.05), 'recognition of the importance of Chinese characters' β=0.114(p<.0.5). Conclusion : The curriculum of Korean Medicine College should first, be organized to allow students to be proud of themselves, second, the goal of education should set goals optimized for job competency, third, the content of learning should be consisted of student led problem based learning, fourth, the link between major subjects should be intensified, fifth, the clinical practice time should be expanded significantly and lastly the assessment evaluates the performance process.

• Genomics & Informatics
• /
• v.17 no.2
• /
• pp.20.1-20.5
• /
• 2019

Entity normalization, or entity linking in the general domain, is an information extraction task that aims to annotate/bind multiple words/expressions in raw text with semantic references, such as concepts of an ontology. An ontology consists minimally of a formally organized vocabulary or hierarchy of terms, which captures knowledge of a domain. Presently, machine-learning methods, often coupled with distributional representations, achieve good performance. However, these require large training datasets, which are not always available, especially for tasks in specialized domains. CONTES (CONcept-TErm System) is a supervised method that addresses entity normalization with ontology concepts using small training datasets. CONTES has some limitations, such as it does not scale well with very large ontologies, it tends to overgeneralize predictions, and it lacks valid representations for the out-of-vocabulary words. Here, we propose to assess different methods to reduce the dimensionality in the representation of the ontology. We also propose to calibrate parameters in order to make the predictions more accurate, and to address the problem of out-of-vocabulary words, with a specific method.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.2
• /
• pp.1101-1109
• /
• 2021

Nowadays, quality affects product or service performance and customer loyalty in the competitive business' environment. This is truly important when it comes to how the customer interprets the service's satisfaction and the judgment of the purchase process as a whole, in view of the fact that service quality is an abstract and elusive construction due to the three characteristics of services: intangibility, heterogeneity, and inseparability of output and consumption. The main purpose of this paper is to determine the hotel service quality using the Fuzzy Analytic Hierarchy Process (FAHP) and SERVQUAL method. In this study, a five-star hotel's real case is considered in evaluating the service quality criteria. The results revealed that Tangibles and Assurance are the most critical service quality criteria in the hotel industry. Accurate records, service consistency, Necessary arrangements for disabled people, Service flexibility to guests' demands, and Providing the services at the time it promises are the most influencing sub-criteria of service quality. These findings indicate that hotels should concentrate on sequentially and organized priority factors to enhance service quality. This method of service quality assessment may also aid in distinguishing between hotels. Finally, as a future direction, more additional parameters can be used as a potential guide in our proposed model for the dynamic decision-making approach.