• The Journal of Korean Orthopaedic Ultrasound Society
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• v.4 no.1
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• pp.42-49
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• 2011

Ultrasonography is a powerful and useful method for the examination of the various shoulder diseases. The use of high-resolution transducer and technical evolution allowed the improvement of the accuracy of detection of various shoulder pathology including the rotator cuff disease. However, its limitation is that there is marked disparity in the interpretation according to the operators' experience. This article describes the appropriate scan technique of ultrasonography around shoulder.

• Korean Journal of Head & Neck Oncology
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• v.3 no.1
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• pp.5-13
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• 1987

Cancer of the head and neck is an uncommon disease accounting for 5 % of all cancers. In an anatomic area so readily visible and palpable for examination without special and expensive diagnositic tools, it is unfortunate that many patients still present with advanced diseases. Since the prognosis is so intimately related to stage of disease, it is very important to detect the earliest stage of cancer with a complete head and neck examination. In the evaluation of cancer at any anatomic site, the description of the extent of the lesion is important. Not only does proper staging of the tumor lead to make decision of the most appropriate treatment, it also serves as a guide for the results of treatment. Proper staging demands a careful clinical assesment of the extent of the cancer. The current staging system for head and neck cancer uses the TNM system devised by American Joint Committee for Cancer Staging and End Result Reporting. T represent the primary tumor, N, regional nodal metastases, and M, distant metastases. The detection, diagnosis, and appropriate treatment of eary cancer will result in improved survival.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.11
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• pp.4331-4346
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• 2015

The femtocell network, which is designed for low power transmission and consists of consumer installed small base stations, coexists with macrocells to exploit spatial reuse gain. For its realization, cross-tier interference mitigation is an important issue. To solve this problem, we propose a joint access and power control scheme that requires limited information exchange between the femto and macro networks. Our objective is to maximize the network throughput while satisfying each user's quality of service (QoS) requirement. To accomplish this, we first introduce two distributed interference detection schemes, i.e., the femto base station and macro user equipment based schemes. Then, the proposed scheme dynamically adjusts the transmission power and makes a decision on the access mode of each femto base station. Through extensive simulations, we show that the proposed scheme outperforms earlier works in terms of the throughput and outage probability.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.625-626
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• 2013

This paper introduces a new method that detects human motions using a Kinect sensor. Also this paper describes a method to mimic the detected human motions. We first build a human stick model by processing the output of Kinect sensor. We detect a specific motion by using the position of each joint of the human stick model and by using the angles between joints.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2001.05a
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• pp.232-236
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• 2001

In this paper, we consider the problem of estimation of average radar cross section (RCS) for Swerling 1 fluctuation model, based on the maximum likelihood (ML) estimation method. In a mathematical development we take into account the event that target strength is lower than detection threshold, or the target is not detected. Our ML estimation for the SWR uses the score function that is the joint probability-pdf of the events and random variables. The solution to the ML estimation reduces to an expression in the from of a contraction mapping. The computational efficiency of the contraction mapping theorem is significant in computing the ML estimation as compared with other root-finding algorithms fur most radar tracking conditions.

• Journal of the Korea Institute of Military Science and Technology
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• v.10 no.2
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• pp.148-151
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• 2007

The CF(Counter-fire) is neutralizing enemy's all command control systems and fire support elements. It will weaken a battle continuous ability and an intension to fight. At the beginning of the CF is obtaining locations of targets using various detection assets. CF command center processes acquired target information and send it to attacking equipments. The targets are classified into two classes, preplanned target and target of opportunity The target of opportunity is potential threaten, so it needs to take a immediate and exact process for determining location of target of opportunity. This paper proposes the real-time processing algorithm for offensive weapons to strike target of opportunity, and presents the result of its performance.

• Structural Engineering and Mechanics
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• v.44 no.4
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• pp.417-429
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• 2012

Taking the superficial temperature increment as the major fatigue damage indicator, the infrared thermography was used to predict fatigue parameters (fatigue strength and S-N curve) of welded joints subjected to fatigue loading with a high mean stress, showing good predictions. The fatigue damage status, related to safety evaluation, was tightly correlated with the temperature field evolution of the hot-spot zone on the specimen surface. An energetic damage model, based on the energy accumulation, was developed to evaluate the residual fatigue life of the welded specimens undergoing cyclic loading, and a good agreement was presented. It is concluded that the infrared thermography can not only well predict the fatigue behavior of welded joints, but also can play an important role in health detection of structures subjected to mechanical loading.

• ETRI Journal
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• v.33 no.2
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• pp.259-266
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• 2011

We present a new method for an automated markerless system to describe, analyze, and classify human gait motion. The automated system consists of three stages: I) detection and extraction of the moving human body and its contour from image sequences, ii) extraction of gait figures by the joint angles and body points, and iii) analysis of motion parameters and feature extraction for classifying human gait. A sequential set of 2D stick figures is used to represent the human gait motion, and the features based on motion parameters are determined from the sequence of extracted gait figures. Then, a k-nearest neighbor classifier is used to classify the gait patterns. In experiments, this provides an alternative estimate of biomechanical parameters on a large population of subjects, suggesting that the estimate of variance by marker-based techniques appeared generous. This is a very effective and well-defined representation method for analyzing the gait motion. As such, the markerless approach confirms uniqueness of the gait as earlier studies and encourages further development along these lines.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.11a
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• pp.108-111
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• 2013

최근 들어 무선 통신 트래픽이 급증하고 있다. 때문에 주파수, 시간 등과 같은 무선 통신 자원의 효율적 활용이 매우 중요해 지고 있다. 이러한 관점에서 스펙트럼 효율이 낮은 단방향 중계 시스템에 비해 이론적으로 약 2배에 가까운 스펙트럼 효율을 갖는 양방향 중계 기술에 대한 연구가 최근 들어 활발히 이루어지고 있다. 하지만 양방향 중계 시스템이 갖는 높은 스펙트럼 효율을 극대화하기 위해서는 단방향 릴레이 시스템에 비하여 증가하는 오버헤드의 증가량을 최소화하면서 요구 성능을 만족하는 것이 매우 중요하다. 이러한 문제를 해결하기 위한 하나의 대안으로 본 논문에서는 증폭 후 재전송(amplify-and-forward) 양방향 중계시스템에서 결합적 간섭제거 및 채널 등화를 위한 적응형 수신기를 제안한다. 제안하는 수신기는 적은 오버헤드만을 갖기 때문에 양방향 중계기술이 갖는 높은 스펙트럼 효율을 그대로 유지할 수 있으며, 복잡도가 높은 역행렬 연산 없이 채널 추정 기반 최소평균자승에러 (minimum mean-square error) 수신기가 갖는 성능을 제공한다.

• Journal of the Korean Society of Safety
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• v.11 no.4
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• pp.29-33
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• 1996

In this study, specimens were prepared which have some defects on the buttweld joint of mild steel. In order to detect the defects of specimens, the following tests were put to : AUT and RT. When the results of the three tests were compared, the conclusion could be brought to as follows. 1) AUT outstrips RT in the abillity to detect plane defects like slags or cracks, but RT excels AUT in the ability to detect spheroidal defects like blowholes. 2) RT detects neither taper cracks nor very closed cracks, whereas AUT detects both of them. 3) AUT can detect at once plane defects like cracks and spheroidal defects like blowholes.