• Journal of the Korean Association of Geographic Information Studies
• /
• v.20 no.3
• /
• pp.52-66
• /
• 2017

This study aims at designing standard metadata that can be incorporated for advanced utilization of damage prediction maps, and thereby constructing the standard meta-information management prototype system on the basis of the proposed design. Based on the ISO/TC 211 19115 international standard, which is considered as the most widely used standard (as per the results of a domestic and foreign metadata standard survey), the designing process for the standard metadata was established and the metadata was categorized into nine classes. Additionally, based on the output of the standard metadata design process, a standard meta-information management prototype system, capable of checking and downloading meta-property information, was constructed using the JAVASCRIPT language. By incorporating the obtained results, it is possible to maintain the quality of the constructed damage prediction map by establishing a standardized damage prediction map database. Furthermore, disaster response can be actuated through the provision and management of data for effective operation of the proposed damage prediction system.

• The Journal of Korean Association of Computer Education
• /
• v.19 no.2
• /
• pp.21-29
• /
• 2016

The introduction of educational programming language has changed programming learning environment to learn programming through various learning activities. We need to analyze how effective these learning activities could be in programming learning. We performed a meta analysis of the programming learning effects according to 8 types of learning activities. The 44 studies were collected from 1993 to 2015 for the meta analysis. The study data of 77 were extracted among 44 studies through several steps. The major results were as follows. The effect size of cognitive domain was shown to be mid-level with .595 and the effect size of affective domain was shown to be mid-level with .594. We analysed according to learning activities. The effect size were no significant difference between learning activities in the cognitive domain. But simulation, animation and mathematical activities was shown to be more consistent results and mid-level effect size. Although the effect size were no significant difference, the homogeneity was shown to be high in the affective domain. The implications were suggested from research findings. First, it is desirable that learners learn programming according to various learning activity themes. Second, instructors should pay attention to simulation, animation and mathmatics activities. Third, researchers need research to find another factors for effective learning.

• Journal of Gifted/Talented Education
• /
• v.26 no.1
• /
• pp.1-20
• /
• 2016

This study explored the cognitive characteristics and learning needs of economically disadvantaged gifted students. Gifted students(n=99), economically disadvantaged gifted students(n=43), and non-gifted students(n=50) participated in intelligence and creativity tests, and took self assessments of meta-cognition, epistemological beliefs, learning style preferences, and personal time usage. Superior abstract reasoning ability of economically disadvantaged gifted students was found because their scores on Raven's Test had risen rapidly compared to the other groups. Economically disadvantaged gifted students showed similar high scores as the gifted student on the Torrance Tests of Creativity Thinking-Figural, but not on Verbal. They were found to have a perception of the positive relationships among effort, learning abilities, and values of learning integrated knowledge with a general plan. However, they showed lower meta-cognitive control abilities than the gifted students in learning management and strategies, epistemological beliefs in value of rational operations, and time usage for learning. It is necessary to assign economically disadvantaged gifted students a task with various step by step methods of approach because these students prefer a new and creative task to difficult ones. Instruction plans such as developing language and meta-cognitive abilities and practical application of learning content was proposed.

• The Journal of Internal Korean Medicine
• /
• v.40 no.1
• /
• pp.13-37
• /
• 2019

Objectives: The purpose of this study was to assess the effects of Korean medicine for non-alcoholic fatty liver disease (NAFLD). We analyzed the result of randomized controlled trials (RCTs) that applied Korean medicine to NAFLD patients through meta analysis and systematic review. Methods: The key question was to the effects of Korean medicine for NAFLD patients according to the PICO-SD (participants, intervention, comparison, outcome, study design) and we included only RCTs. We searched 10 databases including NDSL, KMBASE, KISS, KISTI, KoreaMed, Koreantk, OASIS, Cochrane, Pubmed, EMBASE without a language restriction. We assessed risk of bias by Cochrane group's Risk of Bias tool. Results: The finally selected 12 RCTs were analyzed. Total number of participants was 1189 (male 719, female 470) as 684 and 505 in the oriental medicine group (i.e. herbal drugs, acupuncture, acupoint embedding therapy) and control group (conventional drugs, placebo), respectively. The meta analysis results of examining 7 RCTs comparing the therapeutic efficacy of herbal medicine with that of Western medicine showed statistically significant (p<0.05) differences in the efficacy evaluation, liver function test results, blood lipids, and TNF-${\alpha}$. Furthermore, the meta analysis results of investigating 3 RCTs comparing the therapeutic efficacy of herbal medicine with that of a placebo showed statistically significant (p<0.05) differences in the liver function test results, blood lipids, and waist circumference. Conclusions: The research showed that Korean medicine for NAFLD can be effective treatment. But more studies are required to enhance the level of evidence and we should report on safety.

• Journal of Korean Medicine Rehabilitation
• /
• v.32 no.2
• /
• pp.65-81
• /
• 2022

Objectives This study aimed to assess the effects of oral administration of deer antler extracts on an osteoporosis-induced animal model. We analyzed the results of using deer antler single extracts on animal models with osteoporosis through a systematic review and meta-analysis. Methods We included osteoporosis studies in animal experiments that administrated deer antler extracts orally. We searched the following 13 databases without a language restriction: PubMed, EMBASE, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), China National Knowledge Infrastructure (CNKI), Wanfang, Korean Medical Database (KMbase), National Digital Science Library (NDSL), Korean Traditional Knowledge (Koreantk), Oriental Medicine Advanced Searching Integrated System (OASIS), Research Information Sharing Service (RISS), Korea Institute of Science and Technology Information (KISTI), and Koreanstudies Information Service System (KISS). We used Systematic Review Centre for Laboratory Animal Experimentation's risk of bias tool for assessing the methodological quality of the included studies. Results A total of 299 potentially relevant studies were searched and 11 were included for a systematic review. Nine studies used a single deer antler extract. A study compared the effects of single extracts of deer antler and antler glue, while another study compared the effects of three single extracts of deer antler, old antler, and antler glue. For evaluating the intervention effect, bone mineral density (BMD) was measured as the primary outcome, while the histomorphometric indicators of the bone and serum alkaline phosphatase and osteocalcin levels were used as the secondary outcome variables. On conducting a meta-analysis of studies on single deer antler extract, BMD was observed to be significantly increased compared to that in control group (standardized mean difference [SMD]=2.11; 95% confidence interval [CI]=1.58~2.65; Z=7.75; p<0.00001; I²=56%). As a result of meta-analysis, according to the concentration of deer antler, the group with high concentration showed statistically significantly higher BMD than the group with low concentration (SMD=1.28; 95% CI=0.74~1.82; Z=4.63; p<0.00001; I²=9%). Conclusions The research shows that the deer antler extracts have significant anti-osteoporotic effects on the osteoporosis-induced animal model. However the studies included in this research had a high methodological risk of bias. This indicates the requirement of considerable attention in the interpretation of the study results.

• The Journal of Internal Korean Medicine
• /
• v.44 no.3
• /
• pp.485-505
• /
• 2023

Objective: The purpose of this study is to assess the effectiveness and safety of using Taeksa-tang for dyslipidemia through a systematic review and meta-analysis of randomized controlled trials (RCTs). Methods: The search was conducted using keywords such as "dyslipidemia", "hyperlipidemia", "taeksa tang", "zexie tang", and "takusha to" in 12 databases (Pubmed, Cochrane, Embase, ScienceDirect, CNKI, Wanfang, CiNii, RISS, KISS, ScienceON, OASIS, and DBpia) on April 13, 2023. There were no limits on the publication period and language. Cochrane's risk of bias (RoB) was used to evaluate the quality of the studies. A meta-analysis was conducted according to the outcome measurements such as total effective rate (TER), total cholesterol (TC), triglyceride (TG), HDL-cholesterol (HDL-C), LDL-cholesterol (LDL-C), and adverse effects, using the Review Manager web. Results: A total of 9 RCTs were selected. In evaluating the RoB, 2 studies mentioning the random sequence generation, 1 study conducting double blindness, and 8 studies without missing values were evaluated as low risk, while 1 study without mentioning the random sequence generation was evaluated as high risk. All other parts were evaluated as unclear risk. The treatment group (Taeksa-tang or Taeksa-tang-gagam) showed more statistically significant effects compared to the control group (Western medicine or Chinese patent medicine) in TER (RR : 1.24, 95% CI 1.15 to 1.34, P<0.00001), TC (MD : -1.12, 95% CI -1.68 to -0.56, P<0.0001), TG (MD : -1.08, 95% CI -1.65 to -0.51, P=0.0002), HDL-C (MD : 0.63, 95% CI 0.34 to 0.93, P<0.0001), LDL-C (MD : -0.81, 95% CI -1.10 to -0.53, P<0.00001). In addition, the treatment group showed lower adverse effects compared to the control group (RR : 0.30, 95% CI 0.12 to 0.74, P=0.008). Conclusion: This study suggests that Taeksa-tang is effective and safe to use for treating dyslipidemia. However, due to the low quality of the included studies, more clinical studies need to be conducted in the future to increase the possibility of clinical use.

• The Transactions of the Korea Information Processing Society
• /
• v.2 no.4
• /
• pp.509-523
• /
• 1995

With the diversified and enlarged softwares, the issue of software maintenance became more complex and difficult consequently, the cost of software maintenance took up the highest portion in the software life cycle. At the same time, in order to develop or use software for general computers the development environment will be changed to incorporate user-friendly 4GL (Fourth generation Language). Therefore, it is required to take a closer look at the languages such as COBOL, C, FORTRAN, PASCAL which have source code comprised of 4GL and investigate the method of analysis and reuse for program understanding since a lot of research has been done with these languages in program maintenance. The purpose of this paper is to propose reverse engineering tool in 4GL and find an effective way of understanding and maintaining the program by transforming source code comprised of 4GL to meta language and designing and implementing Document Generator, Report Generator, Module Generator, Code Translator for program understanding.

• Journal of KIISE:Computing Practices and Letters
• /
• v.16 no.11
• /
• pp.1091-1095
• /
• 2010

The existing smart-phone software is dependent on the platform, which should be developed per each different platform, Each vendor will develop its own platform such as Apple's Cocoa platform, Google Android, Microsoft Windows Mobile, etc. In this paper, we apply model transformation technique for developing heterogenous software at a time in heterogenous smart phone area. This approach separates the independent model and dependent model. and automatically transforms the difference between them with model transformation language. To execute model transformation, it is required with meta model, model transformation language. In this paper, we are applied to smart-phones as follows: model will be UMLmodel, metamodel be UML metamodel, and choose ATL as Model transformation language. We show examples of the Windows Mobile platform environment to be developed using model transformation. As a result, if we use platform-independent model in this paper and redefine model transformation rules for the iPhone or Android, it will be automatically transformed into heterogenous platforms.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.05a
• /
• pp.247-249
• /
• 2014

Ubiquitous Sensor Network (USN) environments, sensors and sensor nodes, and coming from heterogeneous sensor networks consist of one another, the characteristics of each component are also very diverse. Thus the sensor and the sensor nodes to interoperability between metadata for a single definition, management is very important. For this, the standard language for modeling sensor SensorML (Sensor Model Language) has. In this paper, sensor devices, sensor nodes and sensor networks for information technology in the application stage XMDR-DAI -based metadata to define the USN. The proposed XMDR-DAI USN based store and retrieve metadata for a method for effectively agent technology. Metadata of the proposed sensor is based SensorML USN environment by maintaining interoperability 50-200 USN middleware or a metadata management system for managing metadata in applications can be utilized directly.

• International Journal of Computer Science & Network Security
• /
• v.22 no.9
• /
• pp.334-342
• /
• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.