• Physical Therapy Korea
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• v.18 no.4
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• pp.60-67
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• 2011

Ultrasonography (US) is a recent technique that has proven to be useful for assessing muscle thickness and guiding the rehabilitation decision-making of clinicians and researchers. The purpose of this study was to determine the inter-rater reliability of the US measurement of transversus abdominis (TrA), internal oblique (IO), and external oblique (EO) thicknesses for different probe locations and measurement techniques. Twenty healthy volunteers were recruited in this study. Muscle thicknesses of the transversus TrA, IO, and EO were measured three times in the hook-lying position. The three different probe locations were as follows: 1) Probe location 1 (PL1) was below the rib cage in direct vertical alignment with the anterior superior iliac spine (ASIS). 2) Probe location 2 (PL2) was halfway between the ASIS and the ribcage along the mid-axillary line. 3) Probe location 3 (PL3) was halfway between the iliac crest and the inferior angle of the rib cage, with adjustment to ensure the medial edge of the TrA. The two different techniques of thickness measurement from the captured images were as follows: 1) Muscle thickness was measured in the middle of the muscle belly, which was centered within the captured image (technique A; TA). 2) Muscle thickness was measured along a horizontal reference line located 2 cm apart from the medial edge of the TrA in the captured image (technique B; TB). The intraclass correlation coefficient (ICC [3,k]) was used to calculate the inter-rater reliability of the thickness measurement of TrA, IO and EO using the values from both the first and second examiner. In all three muscles, moderate to excellent reliability was found for all conditions (probe locations and measurement techniques) (ICC=.70~.97). In the PL1-TA condition, inter-rater reliability in the three muscle thicknesses was good to excellent (ICC=.85~.96). The reliability of all measurement conditions was excellent in IO (ICC=.95~.97). Therefore, the findings of this study suggest that TA can be applied to PL1 by clinicians and researchers in order to measure the thickness of abdominal muscles.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.119-125
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• 2013

The Recently many companies have tried to implement the Business Intelligence (BI) system to enhance the competitive edge in the rapid change of business environment. The BI system is implemented on the basis of current Management Information System, like Enterprise Resource Planning (ERP) system. For the successful implementation of BI system, many critical factors, like maturity and satisfaction level of current Information System, should be considered. The goal of this paper is to analyze which factors influence on the implementation intention of BI system, and how is the relationship among these factors. To achieve this goal, the empirical research has been carried out with factor analysis and Structural Equation Model (SEM). The result of this paper could be usefully referred in decision making process for the successful implementation of the BI system, and show the guideline to the management of the companies, which have the plan for the implementation of BI system.

• Journal of the Korea Institute of Military Science and Technology
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• v.20 no.1
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• pp.40-47
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• 2017

To classify the vehicle targets automatically using thermal images, there are usually two main categories of feature extraction method, local and shape feature extraction methods. Since thermal images have less texture information than color images, the shape feature extraction method is useful when the segmentation results are correct. However, if there are some errors in target segmentation, the shape feature may contain some errors, then the classification accuracy can be decreased. To overcome these problems, in this paper, we propose the segmentation reliability estimation method for target classification. The segmentation reliability can be estimated by using the difference information of average intensities and edge energies between the target and the background area. The estimated segmentation reliability is applied in the decision level fusion method of classification results using both shape and local features. Experiment results using the thermal images of the vehicle targets (main battle tank, armored personnel carrier, military truck, and an estate car) show that the proposed classification method and the segmentation reliability estimation method have a good performance in classification accuracy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4641-4650
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• 2015

This study aims to further strengthen the medical expertise to offer specialized medical care specialization strategies to gain a competitive edge through the customer segmentation of the Regional Public Hospital. Investigation period was selected to study the inpatients 26,658 people January to December 2013. The method of analysis are Cluster analysis and Decision Tree Analysis. In conclusion, female, age over 60, and diseases in musculoskeletal system and connective tissue were commonly selected as identifiers of the target market of Regional Public Hospital. Customers in this target market are loyal to specialized medical service and keeping continuous relationship with these customers through communication and monitoring of results of provided medical service would be important because the effect of word of mouth propagated to other group of customers having equivalent scale of consumption is expected. And the concentration of the scope of medical service of Regional Public Hospital and the collaboration and mutual reliance of medical service under the strategic alliance with other institutions and private hospitals are also needed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.4
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• pp.765-770
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• 2012

In this paper, we proposed an effective hardware structure using DCT-based inra-prediction mode selection to reduce computational complexity caused by intra mode decision. In this hardware structure, the input block is transformed at first and then analyzed to determine its texture directional tendency. the complexity has solved by performing intra prediction in only predicted edge direction. $4{\times}4$ DCT is calculated in one cycle using Multitransform_PE and Inta_pred_PE calculates one prediction mode in two cycles. Experimental results show that the proposed Intra prediction encoding needs only 517 cycles for one macroblock encoding. This architecture improves the performance by about 17% than previous designs. For hardware implementation, the proposed intra prediction encoder is implemented using Verilog HDL and synthesized with Megnachip $0.18{\mu}m$ standard cell library. The synthesis results show that the proposed architecture can run at 125MHz.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.681-691
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• 2017

This empirical study evaluated the 2016 Cheonan KIEMSTA(Korea International Exhibition of Machinery, Equipment, Science and Technology for Agriculture) based on an exhibitor's view. A total of 15 items of importance and performance were selected and 4 quadrants were analyzed for further analysis. The results revealed the following significant factors:concentration region with generating sales, exploring market opportunities in a new region, and meeting key decision makers; the Overkill region with collecting information regarding thecompetitor's product, demonstrating thecompany's capability, increasing staff's trade show experience, and training the sales teams; Low priority region with discovering new products, exploring export opportunities in a foreign market, and gaining an edge over competitors who are not exhibiting; and Keep up the work region bymaintaining relationships with existing customers, collecting market information, benchmarking competitor's position, introducing new product, and motivating sales people.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.57-62
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• 2006

건축디자인 초기단계에서 다이어그램은 아이디어 및 디자인 해결방안을 도출하기 위한 분석 도구로써 중요한 의미를 지닌다(Wang, 1999; Do, 1997). 이러한 다이어그램은 시각적 디자인 피드백을 가능하게 함으로써 건축디자인 실무 및 교육에서 필수적인 디자인 도구라고 할 수 있다 (Schon and Wiggins, 1992; Gross, 1996; Kurmann, 1998). 최근에 IT 기술이 건축분야에 적용됨에 따라, 건축가들의 전통적으로 고려되어 왔던 인간의 행동, 자연현상, 건축재료, 건축부재, 대지조건 외에 다양한 IT 기술과 관련된 정보를 분석하고 고려할 필요성을 가지게 되었다. 그러나 이러한 다양한 IT 기술은 건축적인 요소들과 접목되어 적용되기 때문에 건축가들은 디자인 초기단계부터 IT 기술의 접목이 가능한 디자인 도구를 필요로 하게 되었다. 즉, 이는 IT 정보와 공간정보와의 관계 및 적용을 건축가가 빠르게 이해하고 분석하고 이를 디자인에 반영할 수 있도록 도와주는 시각적 다이어그램 표출이 가능한 디자인 도구가 필요하게 되었다. 본 논문에서는 다양한 IT 기술과 공간 정보의 다양한 형태의 관계를 나타내는 3 차원 버블 다이어그램을 이용한 계략 디자인 방법을 제안하고, 이를 기반으로 3 차원 버블 다이어그램을 지원하면서 건축 디자인 초기단계에 이용 가능한 디자인 도구를 개발한다. 본 연구에서 개발된 디자인 도구는 정보의 유형에 따라 다양하게 형태를 변화시킬 수 있는 노드(node)와 연결선(edge)로 구성되고, 저장된 특정 건축정보는 다이어그램으로 생성된 디자인 대안을 평가하는데 사용된다. 일종의 DSS(Decision Support System)인 본 시스템은 디자인 초기단계에서 3 차원 디자인 아이디어를 제공할 뿐만 아니라 다양한 디자인 대안을 빠르게 생성하고 이를 실시간으로 평가함으로써 디자인 효율성을 증가시킬 것이다. 본 시스템은 유비쿼터스 기술이 적용된 신도시에 생성될 통관관제센터 디자인에 실험적으로 적용되었다.

• Korean Journal of Agricultural and Forest Meteorology
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• v.4 no.3
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• pp.133-140
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• 2002

Site-specific minimum temperature forecasts are critical in a short-term decision making procedure for preventive measures as well as a long-term strategy such as site selection in fruits industry. Nocturnal cold air pools frequently termed in mountainous areas under anticyclonic systems are very dangerous to the flowering buds in spring over Korea, but the spatial resolution to detect them exceeds the current weather forecast scale. To supplement the insufficient spatial resolution of official forecasts, we developed a GIS - assisted frost risk assesment scheme for using in mountainous areas. Daily minimum temperature data were obtained from 6 sites located in a 2.1 by 2.1 km area with complex topography near the southern edge of Sobaek mountains during radiative cooling nights in spring 2001. A digital elevation model with a 10 m spatial resolution was prepared for the entire study area and the cold air inflow was simulated for each grid cell by counting the number of surrounding cells coming into the processing cell. Primitive temperature surfaces were prepared for the corresponding dates by interpolating the Korea Meteorological Administration's automated observational data with the lapse rate correction. The cell temperature values corresponding to the 6 observation sites were extracted from the primitive temperature surface, and subtracted from the observed values to obtain the estimation error. The errors were regressed to the flow accumulation at the corresponding cells, delineating a statistically significant relationship. When we applied this relationship to the primitive temperature surfaces of frost nights during April 2002, there was a good agreement with the observations, showing a feasibility of site-specific frost warning system development in mountainous areas.

• The Transactions of the Korea Information Processing Society
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• v.4 no.11
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• pp.2840-2848
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• 1997

Recognition of 3D objects using computer vision is complicated by the fact that geometric features vary with view orientation. An important factor in designing recognition algorithms in such situations is understanding the variation of certain critical features. The features selected in this paper are the angles between landmarks in a scene. In a class of polyhedral objects the angles at certain vertices may form a distinct and characteristic alignment of faces. For many other classes of objects it may be possible to identify distinctive spacial arrangements of some readily identifiable landmarks. In this paper given an isotropic view orientation and an orthographic projection the two dimensional joint density function of two angles in a scene is derived. Also the joint density of all defining angles of a polygon in an image is derived. The analytic expressions for the densities are useful in determining statistical decision rules to recognize surfaces and objects. Experiments to evaluate the usefulness of the proposed methods are reported. Results indicate that the method is useful and powerful.

• Korean Journal of Optics and Photonics
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• v.19 no.4
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• pp.270-275
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• 2008

This paper addresses occluded object reconstruction and recognition with computational integral imaging (II). Integral imaging acquires and reconstructs target information in the three-dimensional (3D) space. The reconstruction is performed by averaging the intensities of the corresponding pixels. The distance to the object is estimated by minimizing the sum of the standard deviation of the pixels. We adopt principal component analysis (PCA) to classify occluded objects in the reconstruction space. The Euclidean distance is employed as a metric for decision making. Experimental and simulation results show that occluded targets are successfully classified by the proposed method.