• Journal of Industrial Convergence
• /
• v.19 no.1
• /
• pp.71-77
• /
• 2021

Screen Golf provides a more realistic interface to users by implementing sophisticated sensors and 3D graphics so that they can play golf in an environment almost identical to the actual golf course, to provide a sense of reality that goes beyond simply enjoying golf indoors. In addition, users who experienced this interface environment showed a tendency to feel the fun of golf more and become more immersed in golf. Therefore, it is most important to provide an effective realistic interface in screen golf. In this study, the meaning of screen golf as a tangible sport and various interface elements embodied in screen golf were summarized. Also the factors that enable users to feel reality and fun of actual golf to make users more immersed in screen golf were identified. For this, interface elements based on sensory elements were arranged in terms of visual, auditory, and tactile sense, and improvement plans and directions for providing effective sensory interfaces for screen golf were suggested through user FGI, targeting regular customers of Golfzone and KakaoVX screen golf, and in-depth interviews with experts. As a result of the analysis, it was confirmed that the course information including the yardage and the play situation-directed graphic are elements that make immersion in the visual aspect. In terms of tactile aspect, the fact that users actually use golf equipment, as well as the sense of existence of a physical interface that embodies various course environments and course setting appeared to be an important factor. In particular, in the auditory aspect, it was confirmed that providing customized services for each user through AI caddy implemented to resemble a actual caddy is the most effective way to immerse users in screen golf with greater fun and realism.

• Journal of KIISE:Databases
• /
• v.31 no.1
• /
• pp.61-71
• /
• 2004

XML can describe a wide range of data, from regular to irregular and from flat to deeply nested. Thus, XML is rapidly emerging as the do facto standard for the Web document format since XML supports an efficient data exchange and integration. Also, to retrieve the data represented by XML, several XML query languages are proposed. XML query languages such as XPath and XQuery use path expressions to traverse irregularly structured data which comprise B% elements. To evaluate path expressions, various path indexes are proposed. However, traditional path indexes are constructed by utilizing only the XML data structure. Therefore, in this paper, we propose an adaptive path index which utilizes the XML data structure as well as query workloads. To improve the query performance, the adaptive path index proposed by this paper manages the frequently used paths and the structural summary of the XML data using a hash tree and a graph structure. Experimental results show that the adaptive path index improves the query performance typically 2 to 69 times compared with the existing indexes.

• Health Policy and Management
• /
• v.26 no.1
• /
• pp.24-29
• /
• 2016

Background: Socio-economical status, represented by poverty, is a potent factor in predicting health status, because preventable illness and death occurs due to poverty and socio-economical situation. This study aims to provide information towards on the correlation between poverty and self-rated health in consideration of elements of health behaviors and family and friend support in Philippines. Methods: Data was collected on 15th to 28th of February 2011 by using structured questionnaire through interview method. Study area is Antipolo and Tondo in Manila, Philippines. Sample size was 1,100 but only 658 cases was analyzed due to incomplete questionnaire. Results: Results show that the poverty has direct negative influence on self-rated health, while the presence of family and friend support decreased negative influence. And through the analysis of mediated moderation model, similarly poverty has also indirect negative effect on self-rated health by health behaviors and family and friend support. Especially, regular exercise was found to be a major variable that mediates poverty and self-rated health. Conclusion: In conclusion, to improve the self-rated health state of respondents need to provide emotional support especially from family and friends. Also regular exercise should be encouraged by raising health awareness through continuous health education and promotion for the residents in order to develop health behaviors.

• Molecules and Cells
• /
• v.23 no.2
• /
• pp.228-238
• /
• 2007

Since molecular structure of hnRNP is not available in foreseeable future, it is best to construct a working model for hnRNP structure. A geometric problem, assembly of $700{\pm}20$ nucleotides with 48 proteins, is visualized by a frame work in which all the proteins participate in primary binding, followed by secondary, tertiary and quaternary binding with neighboring proteins without additional import. Thus, 40S hnRNP contains crown-like secondary structure (48 stemloops) and appearance of 6 petal (octamers) rose-like architectures. The proteins are wrapped by RNA. Co-transcriptional folding for RNP fibril of FMR1 gene can produce 2,571 stem-loops with frequency of 1 stem-loop/15.3 nucleotides and 53 40S hnRNP beaded structure. By spliceosome driven reactions, there occurs removal of 16 separate lariated RNPs, joining 17 separate beaded exonic structures and anchoring EJC on each exon junction. Skipping exon 12 has 5'GU, 3'AG and very compact folding pattern with frequency of 1 stem-loop per 12 nucleotides in short exon length (63 nucleotides). 5' end of exon 12 contains SS (Splicing Silencer) element of UAGGU. In exons 10, 15 and 17 where both regular and alternative splice sites exist, SS (hnRNP A1 binding site) is observed at the regular splicing site. End products are mature FMR-1 mRNP, 4 species of Pri-microRNAs derived from introns 7,9,15 and 3'UTR of exon17, respectively. There may also be some other regulatory RNAs containing ALU/Line elements as well.

• Journal of Digital Convergence
• /
• v.10 no.11
• /
• pp.627-633
• /
• 2012

This paper deals with the design and implementation of interactive e-learning contents for OpenCourseWare. OpenCourseWare, also known as OCW began at MIT in October 2002. OCW is a free and open digital contents of high quality college and university level educational materials. In this paper, we have designed and implemented interactive e-learning contents for a regular course of introduction to java programing language and OCW of D University. We have developed a variety of multimedia elements, such as screen videos of practical exercise and animations in order to improve the effectiveness of learning. These e-learning contents are consist of interactive learning components that users can interact directly with. The e-learning contents developed in this study has been effectively applied to OCW and a regular course opened in the first semester of 2012.

• Journal of the Korea Society of Computer and Information
• /
• v.17 no.7
• /
• pp.167-174
• /
• 2012

Data mining technique can be adapted to analysing Employment information in order to discover valuable information out of large data. As the issue employment such as jobless of college graduate, recruitment for women, recruitment for elders etc. became social problem, there are many efforts of various public employment services and studies. The factors that affects the college graduate's employment type (regular, temporary, daily) can be used to guide employment and to prepare employment for college students. In analyzing large number of attributes and the huge amount of data elements, regular statistical methods faces their limitation; therefore, data-mining technique is more suitable for the dataset of about 170 attributes and 20,000 elements. We divide the factors that may affect the employment type into personal factor, school factor, company factor, and experience factor; decision tree algorithm is used to find out the interesting relationship between the attributes of the factors and employment type. Personal factors such as the income of parents and marital status were the most affective factors to the employment type. The learned decision tree was able to classify the employment type with 87% of accuracy. We also assume the level of the school affects the employment type of the graduates.

• Journal of Internet Computing and Services
• /
• v.9 no.4
• /
• pp.43-50
• /
• 2008

Various studies are being conducted to achieve efficient routing and reduce energy consumption in wireless sensor networks where energy replacement is difficult. Among routing mechanisms, the clustering technique has been known to be most efficient. The clustering technique consists of the elements of cluster construction and data transmission. The elements that construct a cluster are repeated in regular intervals in order to equalize energy consumption among sensor nodes in the cluster. The algorithms for selecting a cluster head node and arranging cluster member nodes optimized for the cluster head node are complex and requires high energy consumption. Furthermore, energy consumption for the data transmission elements is proportional to $d^2$ and $d^4$ around the crossover region. This paper proposes a means of reducing energy consumption by increasing the efficiency of the cluster construction elements that are regularly repeated in the cluster technique. The proposed approach maintains the number of sensor nodes in a cluster at a constant level by equally partitioning the region where nodes with density considerations will be allocated in cluster construction, and reduces energy consumption by selecting head nodes near the center of the cluster. It was confirmed through simulation experiments that the proposed approach consumes less energy than the LEACH algorithm.

• Journal of Internet of Things and Convergence
• /
• v.8 no.6
• /
• pp.21-26
• /
• 2022

This study aims to enhance the cultivation of SW·AI basic competencies of middle school students by forming and distributing SW·AI education programs for middle school students who form the basis of their lives. In addition, by planning SW·AI education programs in connection with the regular curriculum, it is intended to serve as a cornerstone for the public education of SW·AI education that will be implemented from 2025. To this end, the concept of SW and AI in middle school was first defined and a plan to link software/artificial intelligence learning factors to the regular curriculum was proposed, and based on this, SW·AI education programs for middle school students were prepared. Based on literature research, the understanding of artificial intelligence technology, the value of data, and the use of artificial intelligence technology in real life were set as SW·AI education contents, and educational programs were organized by linking them with the current middle school curriculum. All SW·AI education was organized in the form of practice rather than theory so that classes could be conducted centered on participants, and the purpose of the course was to cultivate the ability to use artificial intelligence technology in real life based on understanding artificial intelligence technology.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.23 no.2
• /
• pp.187-195
• /
• 2012

In this paper, we propose the optimization of subarray configurations for linear array to minimize the side lobe level (SLL) in sum beam pattern based on the genetic algorithm. The operations of genetic algorithm are modified to be applied to subarray configurations. Using the proposed method, we construct subarray structure with 16 irregular subarray elements from 40 linear array elements to minimize the SLL in sum beam pattern in case of applying the adaptive beamforming(ABF) to suppress the jamming power, whose the SLL is 10 dB lower than that of regular subarray configuration.

• Journal of The Korean Association of Information Education
• /
• v.21 no.4
• /
• pp.371-380
• /
• 2017

SW education is considered important in the present age where various sciences converge. According to this tendency, SW education was included in the regular education course in Korea, which aims to develop the learner's CT. Therefore, researches on CT and educational tools are being activated. App Inventor is a simple app development tool that has many advantages over traditional tools. In this study, we developed and applied a SW instruction program that uses an App Inventor to develop CT for elementary school students. Moreover, CT was classified into two elements-calculative perception and calculative creativity- and performed tests after applying SW instruction programs. Furthermore, attitude towards computer were classified into three elements-c computer anxiety, computer preference, and computer confidence- and conducted tests. After performing paired t-test pretest-posttest matching samples on test outcomes, it was found that the CT of the learners who applied the program was increased, and the attitude towards computer also showed a positive change.