• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.15 no.1
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• pp.89-100
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• 2020

Objectives : This study aimed to verify the clinical effectiveness of Baduanjin for shoulder pain. Methods : We searched 10 electronic databases (PubMed, EMBASE, Cochrane Library, CAJ, KISS, KISTI, KMBASE, RISS, NDSL, and OASIS) up to May 2020. We included randomized controlled trials (RCTs) using Baduanjin for shoulder pain. The methodological quality of each RCT was assessed using the Cochrane risk of bias tool. Results : As a result of the search, a total of 6 RCTs were eligible for analysis. Of these 6 studies, one applied Baduanjin alone and 5 cases used Baduanjin in combination with other treatments, such as acupuncture or electroacupuncture. Except for 2 studies, descriptive analysis was performed without meta-analysis due to the high level of heterogeneity between studies. A high risk of bias was observed in all studies. Conclusions : When considering the results of the included papers, there was limited information derived on the therapeutic effect of using Baduanjin as a single intervention, but the results showed significant effectiveness when Baduanjin was combined with other oriental interventions, such as acupuncture and electroacupuncture, in the clinical field. Although all RCTs included in the analysis were biased to CAJ and the number was limited, this study was conducted in accordance with the methodological process of systematic literature reviews and revealed the clinical effects of Baduanjin on shoulder pain.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.3
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• pp.371-375
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• 2010

SSD is a storage medium based on NAND Flash memory. Because of its short latency, low power consumption, and resistance to shock, it's not only used in PC but also in server computers. Most SSDs use FTL to overcome the erase-before-overwrite characteristic of NAND flash. There are several types of FTL, but page mapped FTL shows better performance than others. But its usefulness is limited because of its large memory footprint for the mapping table. For example, 64MB memory space is required only for the mapping table for a 64GB MLC SSD. In this paper, we propose a novel caching scheme for the mapping table. By using the mapping-table-meta-data we construct a fully associative cache, and translate the address within O(1) time. The simulation results show more than 80 hit ratio with 32KB cache and 90% with 512KB cache. The overall memory footprint was only 1.9% of 64MB. The time overhead of cache miss was measured lower than 2% for most workload.

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

• Journal of Advanced Navigation Technology
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• v.18 no.4
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• pp.401-408
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• 2014

Hadoop is composed with MapReduce programming model for distributed processing and HDFS distributed file system. Hadoop is suitable framework for big data processing, but processing of mass small files have many problems. The processing of mass small file in hadoop have problems to created one mapper per one file, and it have problems to needed many memory for store of meta information of file. This paper have comparison evaluation processing method of mass small file with various method in hadoop platform. The processing of general compression format is inadequate because of processing by one mapper regardless of data size. The processing of sequence and hadoop archive file is removed memory problem of namenode by compress and combine of small file. Hadoop archive file is faster then sequence file about combine time of small file. The processing using CombineFileInputFormat class is needed not combine of small file, and it have similar speed big data processing method.

• Journal of Korean Academy of Nursing
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• v.22 no.3
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• pp.271-296
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• 1992

The purposes of this study were 1) to identify patterns and trends of studies of anxiety and stress and 2) to provide direction on which to base further research. Research studies of anxiety and stress were selected from journals of medical and nursing schools, the Korean Nurse, the Korean Nurses' Academic Society Journal, the Central Journal of Medicine, the New Medical Journal, Monthly Nurse, and from theses and dissertations, which had been conducted for the 20 years from 1970 to 1990. The total population of the studies numbered 463. Seven studies were excluded from the analysis because of duplication, so that 252 studies of anxiety and 204 of stress were analyzed. These studies were analyzed for 1) time of publication or presentation, 2) research design, 3) characteristics of subjects used in each study, 4) types of correlated variables, and 5) types of nursing interventions. Findings obtained in the study were as follows : 1. The number of studies related to anxiety and stress has increased rapidly since the early 1980's. 2. The studies were primarily descriptive throughout the 20 years. However, correlational studies, comparative studies and experimental studies slowly increased. 3. Anxiety studies tend to be conducted more on patients and stress studies with normal subjects in non - experimental research. However, experimental studies were conducted more with patients than with normal subjects. 4. In correlational studies, the trend was to study physical conditions in relation to anxiety, and coping and adaptation in relation to stress. 5. In experimental studies, teaching and information therapy and relaxation were the most popular interventions for anxiety, and supportive care for stress. On the bases of these findings, the following recommendations were made : 1. These patterns of studies related to anxiety and stress in Korea need to be compared with studies conducted in other countries. 2. More attention is needed in terms of research design, reliability and validity of tools, and results of statistical analysis. 3. Meta -analysis should be done to analyze and integrate the results of various studies. 4. For theory testing and identification of useful intervention methods, experimintal studies with the same protocols must be conducted rather than more descriptive studies.

• Journal of KIISE:Computer Systems and Theory
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• v.27 no.4
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• pp.353-361
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• 2000

In Computer Graphics, to select the element for modeling is very important in aspect of real-time processing of photorealistic images. Especially in modeling of informal objects, the criteria of choice are such as the minimum number of data, the easy rendering technique, and the expansibility. The metaball model which is one of the methods for modeling the implicit surface is excellent in modeling the complicated surface with a few data. However, a greater number of data are required for modeling objects that consist of planar surfaces with metaballs than with polygons. In this paper, we propose the new skeletal element, metacube which has the merits of metaball and improves the modeling ability of informal objects containing planar surfaces. A metacube has two parameters to change freely its shape from the cube to the sphere and can easily do the modeling of objects with curved surfaces and plane surfaces.

• Journal of KIISE
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• v.42 no.11
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• pp.1361-1371
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• 2015

Depending on the increase amongst various cloud services, the technology of the Cloud Service Broker (CSB) to find the most appropriate services to meet the needs of cloud service consumers has emerged. In order to advance for cloud services to be used through the CSB, it is important to ensure the quality level that meets the demands of consumers through a negotiation process based on the Service Level Agreement (SLA). However, quality metrics of cloud services are different from each other based on the measurement scale, which represents the quality level, and the calculation for each type of cloud services. Therefore, it is necessary to analyze the variability of the quality of cloud services and establish a SLA model for ensuring and improving the level of quality. In this paper, we analyze the quality metrics for the specific type of cloud services by applying the cross-cutting concept and propose a Virtual SLA (VSLA) meta-model.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.6
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• pp.405-413
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• 2009

Tagging system is the system that allows internet users to assign new meta-data which is called tag to article, photo, video and etc. for facilitating searching and browsing of web contents. Tag cloud, a visual interface is widely used for browsing tag space. Tag cloud selects the tags with the highest frequency and presents them alphabetically with font size reflecting their popularity. However the conventional tag selection method includes known weaknesses. So, we propose a novel tag selection method Freshness, which helps to find fresh web contents. Freshness is the mean value of Kullback-Leibler divergences between each consecutive change of tag co-occurrence probability distribution. We collected tag data from three web sites, Allblog, Eolin and Technorati and constructed the system, 'Fresh Tag Cloud' which collects tag data and creates our tag cloud. Comparing the experimental results between Fresh Tag Cloud and the conventional one with data from Allblog, our one shows 87.5% less overlapping average, which means Fresh Tag Cloud outperforms the conventional tag cloud.

• Journal of KIISE
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• v.44 no.11
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• pp.1178-1193
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• 2017

It is very important to understand system behaviors in collective pattern for each knowledge domain. However, there are structural limitations to represent collective behaviors because of the size of system components and the complexity of their interactions, causing the state explosion problem. Further composition with other systems is mostly impractical because of exponential growth of their size and complexity. This paper presents a practical method to model the collective behaviors, based on a new concept of domain engineering: behavior ontology. Firstly, the ontology defines each collective behavior of a system from active ontology. Secondly, the behaviors are formed in a quantifiably abstract lattice, called common regular expression. Thirdly, a lattice can be composed with other lattices based on quantifiably common elements. The method can be one of the most innovative approaches in representing system behaviors in collective pattern, as well as in minimization of system states to reduce system complexity. For implementation, a prototype tool, called PRISM, has been developed on ADOxx Meta-Modelling Platform.

• Journal of Cadastre & Land InformatiX
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• v.49 no.2
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• pp.67-82
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• 2019

The purpose of this study is to analyze the issues and perceptions of smart cities. First, based on the big data analysis platform, big data analysis on smart cities were conducted to derive keywords by year, word cloud, and frequency of generation of smart city keywords by time. Second, trend and flow by area were analyzed by reclassifying major keywords by year based on meta-keywords. Third, emotional recognition flow for smart cities and major emotional keywords were derived. While U-City in the past is mostly centered on creating infrastructure for new towns, recent smart cities are focusing on sustainable urban construction led by citizens, according to the analysis. In addition, it was analyzed that while infrastructure, service, and technology were emphasized in the past, management and methodology were emphasized recently, and positive perception of smart cities was growing. The study could be used as basic data for the past, present and future of smart cities in Korea at a time when smart city services are being built across the country.