• Journal of Korean Medicine Rehabilitation
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• v.30 no.1
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• pp.79-93
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• 2020

Objectives While sciatic neuropathy is one of the common symptoms which have the lifetime incidence of 13~40%, still there is no consensus about the standardized and the most effective conservative treatment. In addition, the importance of systematic review and meta-analysis of preclinical are growing as they could suggest possible effective treatment strategy for future studies. Therefore, we conducted systematic review and meta-analysis to estimate analgesic effect of acupuncture on sciatica in rat models. Methods Systematic search was conducted for all controlled comparative preclinical trials which assessed analgesic effect of acupuncture in sciatica rat models. Database of PubMed, EMBASE, Web of Science, CNKI and 6 Korean databases were used. The primary outcome was pain, which is evaluated by stimulus behavior tests in rat models. We assessed the methodological quality with Systematic Review Centre for Laboratory Animal Experimentation's risk of bias tool. RevMan 5.3 was used for meta-analysis and subgroup analysis was conducted according to treatment site, acupuncture point, treatment period and frequency used in electroacupuncture. Results 14 studies were finally included following our inclusion criteria. The data from meta-analysis indicated that the acupuncture significantly improved the result values of behavior tests for pain evaluation, compared to no-treatment control group in animal models (standardized mean difference=4.43, 95% confidence interval 3.16 to 5.69, Z=6.84, p<0.00001; χ²=68.02, p<0.00001; I²=82%). The results of subgroup analysis indicate that acupuncture treatment of unilateral site, distal acupoints, longer treatment period and applying 2/100 Hz frequency in electroacupuncture could be more effective. Conclusions Systematic review and meta-analysis of animal studies are getting important for the future clinical studies and the improvement of heatlh care. Therefore the results of the study would provide evidence and better design for the forthcoming studies.

• Journal of Life Science
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• v.25 no.3
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• pp.323-328
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• 2015

The study of microbial diversity and richness in soil samples from a volcanic island named Ulleungdo, located east of South Korea. The soil bacterial communities on the Ulleungdo were analyzed using pyrosequencing method based on 16S rRNA gene. There were 1,613 operational taxonomic units (OUT) form soil sample. From results of a BLASTN search against the EzTaxon-e database, the validated reads (obtained after sequence preprocessing) were almost all classified at the phylum level. Proteobacteria was the most dominant phylum with 48.28%, followed by acidobacteria (26.30%), actionbacteria (6.89%), Chloroflexi (4.58), Planctomycetes (4.56%), Nitrospirae (1.83%), Bacteroidetes (1.51%), Verrucomicrobia (1.48%), and Gemmatimonadetes (1.11%). α-proteobacteria was the most dominant class with 36.07% followed by Acidobacteria_c (10.65%), Solibacteres (10.64%), δ-proteobacteria (4.42%), γ-proteobacteria (4.29%), Planctomycetacia (4.16%), Actinobacteria_c (4.00%), Betaproteobacteria (3.50%), EU686603_c (2.97%), Ktedonobacteria (2.91%), Acidimicrobiia (1.32%), Verrucomicrobiae (1.27%), Gemmatimonadetes_c (1.11%), Sphingobacteria (1.09%), and GU444092_c (1.06%). Bradyrhizobiaceae was the most dominant family with 22.83% followed by Acidobacteriaceae (10.62%), EU445199_f (5.72%), Planctomycetaceae (4.03%), Solibacteraceae (3.63%), FM209092_f (3.58%), Steroidobacter_f (2.81%), EU686603_f (2.73%), Hyphomicrobiaceae (2.33%), Ktedonobacteraceae (1.75%), AF498716_f (1.46%), Rhizomicrobium_f (1.03%), and Mycobacteriaceae (1.01%). Differences in the diversity of bacterial communities have more to do with geography than the impact on environmental factors and also the type of vegetation seems to affect the diversity of bacterial communities.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.3
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• pp.209-215
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• 2005

Conventional ORDBMS vendors provide extension mechanisms for adding user-defined types and functions to their own DBMSs. Here, the extension mechanisms are implemented using a high-level interface. We call this technique loose-coupling. The advantage of loose-coupling is that it is easy to implement. However, it is not preferable for implementing new data types and operations in large databases when high Performance is required. In this paper, we propose to use the notion of tight-coupling to satisfy this requirement. In tight-coupling, new data types and operations are integrated into the core of the DBMS engine. Thus, they are supported in a consistent manner with high performance. This tight-coupling architecture is being used to incorporate information retrieval(IR) features and spatial database features into the Odysseus/IR ORDBMS that has been under development at KAIST/AITrc. In this paper, we introduce Odysseus/IR and explain its tightly-coupled IR features (U.S. patented). We then demonstrate a web search engine that is capable of managing 20 million web pages in a non-parallel configuration using Odysseus/IR.

• Journal of Korean Clinical Nursing Research
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• v.23 no.1
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• pp.83-90
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• 2017

Purpose: This study was to develop evidence-based clinical practice guideline in order to prevent contrastinduced nephropathy (CIN) for patients undergoing percutaneous coronary intervention (PCI). Methods: The guideline was developed based on the "Scottish Intercollegiate Guidelines Network (SIGN)". The first draft of guideline was developed through 5 stages and evaluated by 10 experts.(1) Clinical questions were ensured in PICO format.(2) Two researchers conducted a systematic search through electronic database, identifying 170 studies. We selected 27 full text articles including 16 randomized clinical trials, 7 systematic reviews, and 4 guidelines. Quality of each studies were evaluated by the Cochran's Risk of Bias, AMSTAR, K-AGREEII. Among the studies, 11 studies were excluded.(3) The strength of recommendations were classified and quality of recommendations were ranked.(4) Guideline draft was finalized.(5) Content-validation was conducted by an expert group. All contents were ranked above 0.8 in CVI. Results: Evidence-based clinical practice guideline to prevent CIN was dveloped.(1) The guideline for preventing CIN recommends using 0.9% saline.(2) Standardized rate of fluid therapy is 1 to 1.5ml/kg/hr.(3) Execute hydration for 6~12hrs before PCI and after PCI. Conclusion: This study suggests evidence-based clinical practice guideline for preventing CIN which can be more efficiently used in clinical practice.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.2
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• pp.113-121
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• 2012

In this paper, we proposed fast and efficient algorithm for detecting near-duplication based on content based retrieval in large scale video database. For handling large amounts of video easily, we split the video into small segment using scene change detection. In case of video services and copyright related business models, it is need to technology that detect near-duplicates, that longer matched video than to search video containing short part or a frame of original. To detect near-duplicate video, we proposed motion distribution and frame descriptor in a video segment. The motion distribution descriptor is constructed by obtaining motion vector from macro blocks during the video decoding process. When matching between descriptors, we use the motion distribution descriptor as filtering to improving matching speed. However, motion distribution has low discriminability. To improve discrimination, we decide to identification using frame descriptor extracted from selected representative frames within a scene segmentation. The proposed algorithm shows high success rate and low false alarm rate. In addition, the matching speed of this descriptor is very fast, we confirm this algorithm can be useful to practical application.

• The Journal of Korean Academy of Sensory Integration
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• v.15 no.1
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• pp.46-59
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• 2017

Objective : This study is to analyze the current trends of research and the subject and method of assessments used in praxis functions through a systematic review. Methods : Through the PubMed, Proquest, and Google database, research articles from January of 1985 through April of 2016 were searched. The keywords used for this search were "praxis AND (validity OR reliability) AND (assessment OR test) AND (preschooler OR child)". Additionally, the name for the assessments from the previous review studies of praxis function assessments was searched. In the end, 14 papers were chosen and 8 assessments that were used in these papers were analyzed. Results : Among the final 14 papers, 10 studies (71.4%) were level III (non-randomized one group) which was the largest number in this review, followed by 4 studies (28.6%) with level II (non-randomized two groups). There was no RCT study which is the level of evidence of the level I research. The results for the analysis of the subjects' age of the final 8 assessments that were chosen showed that most of the praxis function assessments were developed for children. There were 6 assessments of which their reliability and validity were verified and other 2 assessments of which their reliability and validity were not both verified. Conclusion : This study proposes the current trends of research of praxis function assessments. The study's significance is that it provides a research evidence when choosing and utilizing assessments for the children.

• The Journal of Korean Academy of Sensory Integration
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• v.15 no.2
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• pp.93-106
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• 2017

Objective : The purpose of this study is to provide an evidence for clinical practice by systemic analysis on occupational therapy interventions for improvement of children's play. Methods : Articles used in this study were collected from database of Pubmed, ProQuest, EBSCOhost, Scopus, RISS, KISS, and National Library of Korea. The key words used in the search were "Play AND Occupational Therapy AND (Intervention OR Treatment)" and the publication period was limited from January 2007 to April 2017. 11 articles in total were selected for the systematic review analysis. Results : The results revealed that the majority of studies was one-group non-randomized study and the majority of intervention used was play-based intervention in case of that play itself was the intervention goal. The most frequently used environment for the intervention was parallel setting of home and treatment room. The majority of studies was for children with ADHD and the most commonly used assessment tool was Test of Playfulness (ToP). Dependent variables measured along with play were language skills, social interactive skills, communication and pragmatic skills, problem-solving skills, caregiver responsiveness, and parent-child interaction. Conclusion : This study help to understand the current state of occupational therapy intervention for improvement of children's play. Starting with the understanding, it is expected that various studies on play of children will be done in the future.

• The KIPS Transactions:PartD
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• v.8D no.5
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• pp.507-512
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• 2001

Feature-based similarity has become an important research issue in multimedia database systems. The features of multimedia data are useful for discriminating between multimedia objects. the performance of conventional multidimensional data structures tends to deteriorate as the number of dimensions of feature vectors increase. The $R^{*}-Tree$ is the most successful variant of the R-Tree. In this paper, we propose a SOM-based $R^{*}-Tree$ as a new indexing method for high-dimensional feature vectors. The SOM-based $R^{*}-Tree$ combines SOM and $R^{*}-Tree$ to achieve search performance more scalable to high-dimensionalties. Self-Organizingf Maps (SOMs) provide mapping from high-dimensional feature vectors onto a two-dimensional space. The map is called a topological feature map, and preserves the mutual relationships (similarity) in the feature spaces of input data, clustering mutually similar feature vectors in neighboring nodes. Each node of the topological feature map holds a codebook vector. We experimentally compare the retrieval time cost of a SOM-based $R^{*}-Tree$ with of an SOM and $R^{*}-Tree$ using color feature vectors extracted from 40,000 images. The results show that the SOM-based $R^{*}-Tree$ outperform both the SOM and $R^{*}-Tree$ due to reduction of the number of nodes to build $R^{*}-Tree$ and retrieval time cost.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.5
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• pp.1087-1096
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• 2011

Vehicular Ad Hoc Network(VANET) using wireless network is offering the communications between vehicle and vehicle(V2V) or vehicle and infrastructure(V2I). VANET is being actively researched from industry field and university because of the rapid developments of the industry and vehicular automation. Information, collected from VANET, of velocity, acceleration, condition of road and environments provides various services related with safe drive to the drivers, so security over network is the inevitable factor. For the secure message authentication, a number of authentication proposals have been proposed. Among of them, a scheme, proposed by Jung, applying database search algorithm, Bloom filter, to RAISE scheme, is efficient authentication algorithm in a dense space. However, k-anonymity used for obtaining the accurate vehicular identification in the paper has a weak point. Whenever requesting the righteous identification, all hash value of messages are calculated. For this reason, as the number of car increases, a amount of hash operation increases exponentially. Moreover the paper does not provide a complete key exchange algorithm while the hand-over operation. In this paper, we use a Received Signal Strength Indicator(RSSI) based velocity and distance estimation algorithm to localize the identification and provide the secure and efficient algorithm in which the problem of hand-over algorithm is corrected.

• The KIPS Transactions:PartD
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• v.14D no.7
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• pp.707-718
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• 2007

Recently, much studies for providing mobile users with suitable and useful content services, LBS(Location Based Service) corresponding to the change of users' location, are actively going on. First and foremost, this is basically owing to the progress of location management technologies such as GPS, mobile communication technology and the spread of personal devices like PDA and the cellular phones. Besides, the research scope of LBS has been changed from vehicle tracking and navigation services to intelligent and personalized services considering the changing information of conditions or environment where the users' are located. For example, it inputs the information such as heavy traffic, pollution, and accidents. The query languages which effectively search the stored vehicle and environment information have been studied depending on the increase of the information utilization. However, most of existing moving object query languages are not enough to provide a recommendation service for a user, because they can not be tested and evaluated in real world and did not consider changed environment information. In order to retrieve not only a vehicle location and environment condition but also use them, we suggest a moving object query language for recommendation service and implement a moving object query process system for supporting a query language. It can process a nearest neighbor query for recommendation service which considers various attributes such as a vehicle's location and direction, environment information. It can be applied to location based service application which utilizes the recommended factors based on environmental conditions.