• Title/Summary/Keyword: post-classification

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Development of the Buckling Strength Assessment System based on Offshore Structure Design Code (해양구조물 설계코드에 기반한 좌굴강도 평가 시스템 개발)

  • Kim, Ul-Nyeon
    • Special Issue of the Society of Naval Architects of Korea
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    • 2017.10a
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    • pp.38-45
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    • 2017
  • FPSO is widely used to develop deep sea oil fields and HHI has constructed ten(10) FPSOs. During these constructions, relevant structural design criteria such as yielding, buckling, fatigue, collision and impact strength were applied to verify structural safety. To apply the buckling strength evaluation for structures, the critical buckling stresses and applied stresses of relevant panels should be calculated. The plate and stiffened panels are to be idealized, which are needed much time and efforts by designers. Therefore, program development is necessary in order to evaluate the buckling strength conveniently and accurately. In this study, the buckling strength assessment system by using offshore code, DNV-RP-C201 was developed under MSC/PATRAN, pre-post program of finite element method. Graphic user interface program is written in MSC/PATRAN PCL functions. Source program to evaluate the buckling strength is developed in FORTRAN programming languages. The developed program is verified by comparing with the results of the Nauticus Hull developed by DNV Classification Society, and applied to the marine construction project conducted by Hyundai Heavy Industries LTD.

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The Effects of Robot-Assisted Gait Training for the Patient With Post Stroke: A Meta-Analysis (뇌졸중 환자에게 적용한 로봇보행 재활훈련의 효과: 메타분석)

  • Park, So-Yeon
    • Physical Therapy Korea
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    • v.22 no.2
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    • pp.30-40
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    • 2015
  • Robot-assisted rehabilitation therapy has been used to increase physical function in post-stroke patients. The aim of this meta-analysis was to identify whether robot-assisted gait training can improve patients' functional abilities. A comprehensive search was performed of PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), Physiotherapy Evidence Database (PEDro), Academic Search Premier (ASP), ScienceDirect, Korean Studies Information Service System (KISS), Research Information Sharing Service (RISS), Korea National Library, and the Korean Medical Database up to April, 2014. Fifteen eligible studies researched the effects of robot-assisted gait training to a control group. All outcome measures were classified by International Classification of Functioning, Disability, and Health (ICF) domains (body function and structures, activity, and participation) and were pooled for calculating the effect size. The overall effect size of the robot-assisted gait training was .356 [95% confidence interval (CI): .186~.526]. When the effect was compared by the type of electromechanical robot, Gait Trainer (GT) (.471, 95% CI: .320~.621) showed more effective than Lokomat (.169, 95% CI: .063~.275). In addition, acute stroke patients showed more improvement than others. Although robot-assisted gait training may improve function, but there is no scientific evidence about the appropriate treatment time for one session or the appropriate duration of treatment. Additional researchers are needed to include more well-designed trials in order to resolve these uncertainties.

Effect of an End-effector Type of Robotic Gait Training on Stand Capability, Locomotor Function, and Gait Speed in Individuals with Spastic Cerebral Palsy (엔드 이펙터 타입의 로봇보행훈련이 뇌성마비인의 서기, 보행 기능과 보행속도에 미치는 영향)

  • Hwang, Jongseok
    • Journal of the Korean Society of Physical Medicine
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    • v.16 no.3
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    • pp.123-130
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    • 2021
  • PURPOSE: Robotic gait training is being used increasingly to improve the gross motor performance and gait speed. The present study examined the effectiveness of a novel end-effector type of robotic gait training (RGT) system on standing, walking, running, and jumping functions, as well as the gait speed in children with spastic cerebral palsy. METHODS: Eleven children with spastic cerebral palsy Gross Motor Function Classification System (GMFCS) levels I-III (6 males; age range, 15.09 ± 1.44 years) were examined. They underwent 24 sessions (30 minutes/sessions, one time/day, three days/week for eight consecutive weeks) of RGT. The Gross Motor Function Measure-88 D domain (GMFM D), and GMFM E were assessed with a pretest and posttest of RGT. The setting was a one-group pretest-posttest design. RESULTS: A comparison of the pre-test and post-test show that the outcomes in post-test of GMFM D (p < .01), GMFM E (p < .05), and 10MWT were improved significantly after RGT intervention. CONCLUSION: The present study provided the first evidence on the effects of an eight-weeks RGT intervention in participants with spastic CP. The outcomes of this clinical study showed that standing performance, locomotion function, and gait speed increased in after 24 sessions of the end-effector RGT system in children with spastic cerebral palsy.

Estimated Soft Information based Most Probable Classification Scheme for Sorting Metal Scraps with Laser-induced Breakdown Spectroscopy (레이저유도 플라즈마 분광법을 이용한 폐금속 분류를 위한 추정 연성정보 기반의 최빈 분류 기술)

  • Kim, Eden;Jang, Hyemin;Shin, Sungho;Jeong, Sungho;Hwang, Euiseok
    • Resources Recycling
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    • v.27 no.1
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    • pp.84-91
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    • 2018
  • In this study, a novel soft information based most probable classification scheme is proposed for sorting recyclable metal alloys with laser induced breakdown spectroscopy (LIBS). Regression analysis with LIBS captured spectrums for estimating concentrations of common elements can be efficient for classifying unknown arbitrary metal alloys, even when that particular alloy is not included for training. Therefore, partial least square regression (PLSR) is employed in the proposed scheme, where spectrums of the certified reference materials (CRMs) are used for training. With the PLSR model, the concentrations of the test spectrum are estimated independently and are compared to those of CRMs for finding out the most probable class. Then, joint soft information can be obtained by assuming multi-variate normal (MVN) distribution, which enables to account the probability measure or a prior information and improves classification performance. For evaluating the proposed schemes, MVN soft information is evaluated based on PLSR of LIBS captured spectrums of 9 metal CRMs, and tested for classifying unknown metal alloys. Furthermore, the likelihood is evaluated with the radar chart to effectively visualize and search the most probable class among the candidates. By the leave-one-out cross validation tests, the proposed scheme is not only showing improved classification accuracies but also helpful for adaptive post-processing to correct the mis-classifications.

Development of An Automatic Classification System for Game Reviews Based on Word Embedding and Vector Similarity (단어 임베딩 및 벡터 유사도 기반 게임 리뷰 자동 분류 시스템 개발)

  • Yang, Yu-Jeong;Lee, Bo-Hyun;Kim, Jin-Sil;Lee, Ki Yong
    • The Journal of Society for e-Business Studies
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    • v.24 no.2
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    • pp.1-14
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    • 2019
  • Because of the characteristics of game software, it is important to quickly identify and reflect users' needs into game software after its launch. However, most sites such as the Google Play Store, where users can download games and post reviews, provide only very limited and ambiguous classification categories for game reviews. Therefore, in this paper, we develop an automatic classification system for game reviews that categorizes reviews into categories that are clearer and more useful for game providers. The developed system converts words in reviews into vectors using word2vec, which is a representative word embedding model, and classifies reviews into the most relevant categories by measuring the similarity between those vectors and each category. Especially, in order to choose the best similarity measure that directly affects the classification performance of the system, we have compared the performance of three representative similarity measures, the Euclidean similarity, cosine similarity, and the extended Jaccard similarity, in a real environment. Furthermore, to allow a review to be classified into multiple categories, we use a threshold-based multi-category classification method. Through experiments on real reviews collected from Google Play Store, we have confirmed that the system achieved up to 95% accuracy.

Spatial Analysis of Landscape Structure Changes Caused by the US Conservation Reserve Program in the Central High Plains (미중부지역 농지보전 프로그램에 의한 경관구조 변화분석)

  • Park, Sun-Yurp;Egbert, Stephen L
    • Journal of the Korean association of regional geographers
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    • v.9 no.4
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    • pp.519-533
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    • 2003
  • The U.S. Conservation Reserve Program (CRP) resulted in the conversion of approximately 14.8 million ha(36.5 million acres) of cropland to grassland, woodland, and other conservation uses throughout the U.S. between 1986 and 1992. One of the major results of CRP has been the addition of millions of hectares of potential wildlife habitat. primarily as grassland. In this study, we examined regional changes in landscape structure caused by the introduction of CRP. Utilizing multi-seasonal Landsat Thematic Mapper imagery, we produced maps of cropland and grassland for the pre- and post- CRP enrollment periods for a six-county region in southwest Kansas. We then applied post-classification differencing to identify regions of cropland that had been converted to CRP. Using the FRAGSTATS spatial pattern analysis program, we calculated a variety of spatial statistics to analyze changes in landscape structure due to CRP. The major impact of CRP in the six-county study area has been the reversal of an overall trend of grassland habitat fragmentation. From the standpoint of potential wildlife habitat, the introduction of CRP has greatly increased the number of patches, mean patch size, and the interior or core area of grassland patches. In addition, CRP has increased connectivity and aggregation between grassland patches, potentially important factors for species of conservation interest, particularly those that require larger expanses of unbroken habitat. Finally, the distance between neighboring patches of grassland has decreased, reducing travel distance between patches. Clearly, the introduction of CRP has substantially modified the spatial structure of the southwest Kansas landscape, with important implications for wildlife habitat.

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A case report of a patient with spinal cord infarction treated by Korean medicine combined with conventional medicine: An evaluation using Korean Standard Classification of Functioning, Disability and Health (KCF) (한국표준건강분류(KCF)로 평가한 척수경색 환자의 한의 치료 전후 변화 증례 보고)

  • Kim, Mikyung
    • The Journal of Korean Medicine
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    • v.39 no.3
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    • pp.89-100
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    • 2018
  • Objectives: Korean Standard Classification of Functioning, Disability and Health (KCF), a useful tool for a comprehensive consideration of the health-related overall implications, might be also promising way to validate the effectiveness of Korean medicine. This study reports the change of pre- and post-hospitalization using the KCF in a patient with spinal cord infarction who underwent rehabilitation plus Korean medicine treatment. This study aims to apply the KCF to this case, evaluate its applicability, and review its expected benefits and obstacles in the clinical practice of Korean medicine. Methods: The changes in the overall health status of the patient were assessed by the KCF as well as the chief complaints, diagnosis, neurological deficits, and activities of daily living (ADL), impairment scale etc. before and after admission to a Korean medicine hospital were investigated. Results: Most of the chief complaints of the patient were improved enough to perform her daily routine activities independently. These improvements were reflected in the neurological function and ADL scores, but could not change the diagnosis according to the Korean Standard Classification of Diseases nor the impairment scale. The KCF, on the other hand, was able to grasp the changes of the patient in various aspects in terms of body function, body structure, activity and participation, and environmental factors. Conclusions: Through this case, we found the applicability of the KCF in clinical practice of Korean medicine and the possibility that the KCF can be a promising tool to show the effectiveness and benefits of Korean medicine.

Forecast of Land use Change for Efficient Development of Urban-Agricultural city (도농도시의 효율적 개발을 위한 토지이용변화예측)

  • Kim, Se-Kun;Han, Seung-Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.2
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    • pp.73-79
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    • 2012
  • This study attempts to analyze changes in land use patterns in a compound urban and agricultural city Kimje-si, using LANDSAT TM imagery and to forecast future changes accordingly. As a new approach to supervised classification, HSB(Hue, Saturation, Brightness)-transformed images were used to select training zones, and in doing so classification accuracy increased by more than 5 percent. Land use changes were forecasted by using a cellular automaton algorithm developed by applying Markov Chain techniques, and by taking into account classification results and GIS data, such as population of the pertinent region by area, DEMs, road networks, water systems. Upon comparing the results of the forecast of the land use changes, it appears that geographical features had the greatest influence on the changes. Moreover, a forecast of post-2030 land use change patterns demonstrates that 21.67 percent of mountain lands in Kimje-si is likely to be farmland, and 13.11 percent is likely to become city areas. The major changes are likely to occur in small mountain lands located in the heart of the city. Based on the study result, it seems certain that forecasting future land use changes can help plan land use in a compound urban and agricultural city to procure food resources.

Developing and Applying a Framework for Safety in Domestic Walking Tourism (스마트 관광 시대에 국내 도보여행을 위한 안전정보 프레임워크 개발 및 적용)

  • Choi, Su-Jeong;Ham, Ju-Yeon;Koo, Chul-Mo
    • The Journal of Information Systems
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    • v.26 no.3
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    • pp.247-271
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    • 2017
  • Purpose This study aims to propose a framework for safety in domestic walking tourism, which defines the scope and type of safety information for tourists. Also, the framework provides a systematic classification for safety information in walking tourism. As the importance of safety in walking tourism due to the frequent occurrence of crimes and unexpected accidents increases, it is necessary to provide tourists with safety information on walking courses rapidly and systematically. However, most administrators (e.g., local governments) have mainly focused on providing tour information on walking courses through Internet websites or mobile apps, overlooking the safety issue. Besides, there is a lack of understanding of safety not only in walking tourism but also in the whole tourism industry. Design/methodology/approach This study proposes the framework that covers all possible safety-related information in walking tourism. Furthermore, to validate its availability, this study analyzes eight major platforms which offer tour information to tourists by applying the framework. Findings The major findings of this study are as follows. First, all platforms considered in this study do not provide any information on tourism safety, focusing on the provision of tour information. Second, three platforms currently provide an SOS function which means post-safety information. That is, no safety information is provided to prevent safety issues in advance. Finally, despite the increase of social concerns, all platforms do not provide safety information on public order and diseases in the social disaster classification as well as environmental pollution in the natural disaster classification. The details and implications of the findings are presented.

Applicability of Geo-spatial Processing Open Sources to Geographic Object-based Image Analysis (GEOBIA)

  • Lee, Ki-Won;Kang, Sang-Goo
    • Korean Journal of Remote Sensing
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    • v.27 no.3
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    • pp.379-388
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    • 2011
  • At present, GEOBIA (Geographic Object-based Image Analysis), heir of OBIA (Object-based Image Analysis), is regarded as an important methodology by object-oriented paradigm for remote sensing, dealing with geo-objects related to image segmentation and classification in the different view point of pixel-based processing. This also helps to directly link to GIS applications. Thus, GEOBIA software is on the booming. The main theme of this study is to look into the applicability of geo-spatial processing open source to GEOBIA. However, there is no few fully featured open source for GEOBIA which needs complicated schemes and algorithms, till It was carried out to implement a preliminary system for GEOBIA running an integrated and user-oriented environment. This work was performed by using various open sources such as OTB or PostgreSQL/PostGIS. Some points are different from the widely-used proprietary GEOBIA software. In this system, geo-objects are not file-based ones, but tightly linked with GIS layers in spatial database management system. The mean shift algorithm with parameters associated with spatial similarities or homogeneities is used for image segmentation. For classification process in this work, tree-based model of hierarchical network composing parent and child nodes is implemented by attribute join in the semi-automatic mode, unlike traditional image-based classification. Of course, this integrated GEOBIA system is on the progressing stage, and further works are necessary. It is expected that this approach helps to develop and to extend new applications such as urban mapping or change detection linked to GIS data sets using GEOBIA.