• 한국전문물리치료학회지
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• 제17권1호
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• pp.36-42
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• 2010

The aim of this study was to investigate effects of reaching distance on movement time and trunk kinematics in hemiplegic patients. Eight hemiplegic patients participated in this study. The independent variables were side (sound side vs. affected side) and target distance (70%, 90%, 110%, and 130% of upper limb). The dependent variables were movement time measured by pressure switch and trunk kinematics measured by motion analysis device. Two-way analysis of variance with repeated measures was used with Bonferroni post-hoc test. (1) There were significant main effects in side and reaching distance for movement time (p=.01, p=.02). Post-hoc test revealed that there was a significant difference between 110% and 130% of reaching distance (p=.01). (2) There was a significant main effect in side and reaching distance for trunk flexion (p=.01, p=.00). Post-hoc test revealed that there were significant differences in all pair-wise reaching distance comparison. (3) There was a significant side by target distance interaction for trunk rotation (p=.04). There was a significant main effect in target distance (p=.00). Post-hoc test revealed that there were significant differences between 70% and 110%, 70% and 130%, 90% and 110%, 90% and 130% of target distance. It was known that trunk flexion is used more than trunk rotation during reaching task in hemiplegic patients from the findings of this study. It is also recommended that reaching training is performed with limiting trunk movement within 90% of target distance whereas reaching training is performed incorporating with trunk movement beyond 90% of target distance in patients with hemiplegia.

• 전자공학회논문지SC
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• 제44권3호
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• pp.22-28
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• 2007

한국형 구축함용 전투체계의 추적레이더(STIR)는 탐색레이더(MW08)의 3차원 표적 정보에 지정되어 표적을 획득하고, 추적 알고리즘에 의해 자동추적하는 레이더로서 표적획득 시간 및 추적루프의 정확도로 레이더의 성능을 판단 할 수 있다. 함정 측면에서 보면 추적레이더의 표적획득 시간에 관계되는 요소들은 여러 가지가 있을 수 있다. 본 논문에서는 이런 요소들을 식별하고 성능향상방법을 제안함으로써 추적레이더의 표적획득 시간을 단축시켰다. 여기에서는 주요요소 세 가지에 대한 분석과 성능향상방향을 제시하였다. 첫째는 추적알고리즘을 분석하였으며, 두 번째는 획득거리에 관계되는 요소를 조정하는 파라미터의 적절성 분석하였고, 세 번째는 함기준 센서의 정확도를 분석하였다. 결과적으로 대함표적의 획득시간을 약 10초에서 3초로 성능을 향상시킬 수 있었다.

• 한국정보처리학회논문지
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• 제7권4호
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• pp.1236-1245
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• 2000

This paper propose a novel scheme, called Mobiel Terminal Initiated Scheme(MTIS), in which mobile terminal initiates the backward handover by sending handover request message with the list of target radio ports. In this scheme, the old ATM switch suporting end-user mobility, denoted by EMAS\ulcorner, checks whether each EMAS\ulcorner, managing the target radio port, has its available resources. If it has, the EMAS\ulcorner performs the path rerouting between CrossOver Switch (COS) and itself after deciding the most suitable target radio port. Therefore, the MT initiates the handover after deciding the most suitable target radio port through the beacon signal of Wireless Access Point (WAP). The EMAS\ulcorner have only to check the resource availability of the target radio port. It is no need to waste time to decide the suitable target radio port. Also, once receiving the request of the resource availability, the EMAS\ulcorner can reduce the rerouting delay time due to perform the path rerouting to the COS. In comparison with that of the ATM-Forum procedure, our proposed MTIS handover delay time reduced 14~21%, and end-to-end transfer delay time reduced 2~9%, as a result of the simulation.

• 대한임베디드공학회논문지
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• 제12권5호
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• pp.267-275
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• 2017

Time of difference of arrival (TDOA) method using passive sonar sensor array has normally been used to estimate the location of a concealed moving target in underwater environment. Particle filter has been introduced for effective target estimation for non-Gaussian and nonlinear systems. In this paper, we propose a GPU-based acceleration of target position estimation using particle filter and propose efficient embedded system and software architecture. For the TDOA measurement from the passive sonar sensor, we use the generalized cross correlation phase transform (GCC-PHAT) method to obtain the correlation coefficient of the signal using FFT and we try to accelerate the calculation of GCC-PHAT based TDOA measurements using FFT with GPU CUDA. We also propose parallelization method of the target position estimation algorithm using the GPU CUDA to update the state of each particle for the target position estimation using the measured values. The target estimation algorithm was verified using Matlab and implemented using GPU CUDA. Then, we realized the proposed signal processing acceleration system using NVIDIA Jetson TX1 as the target board to analyze in terms of the execution time. The execution time of the algorithm is reduced by 55% to the CPU standalone-operation on the target board. Experiment results show that the proposed architecture is a feasible solution in terms of high-performance and area-efficient architecture.

• 산업공학
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• 제23권3호
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• pp.239-245
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• 2010

This paper considers a localization problem of a moving tag on RFID(Radio Frequency Identification) systems, where a positioning engine collects TDOA(Time-difference of Arrival) signal from a target tag to estimate the position of the tag. To localize the tag in the RFID system, we develop two heuristic algorithms and evaluate their performance in the estimation error and computational time by using randomly generated numerical examples. Based upon the performance evaluation, we can conclude our algorithms are valuable for localization the moving target.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 하계종합학술대회논문집
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• pp.635-638
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• 1998

This paper proposes a simple method to measure system's performance in target tracking problems. Essentially employing the Cramer-Rao lower bound (CRLB) on trakcing accuracy, an algorithm of predicting system's performance under various scenarios is developed. The input data is a collection of measurements over time fromsensors embedded in gaussian noise. The target of interest may not maneuver over the processing time interval while the own ship observing platform may maneuver in an arbitrary fashion. Th eproposed approach is demonstrated and discussed through simulation results.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.108-113
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• 1991

In this paper, an improved method for tracking maneuvering target is proposed. The proposed tracking filter is constructed by combining the input estimation approach with the variable dimension filtering approach. In this approach, the filter also provides the estimated time instant at which target starts maneuver, when the target maneuver is detected. Using this estimated maneuvering time, the maneuver input is estimated and the tracking system changes to the maneuver model. Simulations are performed to demonstrate the efficiency of the proposed tracking filter.

• 대한전자공학회논문지
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• 제24권4호
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• pp.684-695
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• 1987

In this paper, an improved matching method using subtemplate of moving region and 3-step search algorithm is proposed. It reduces heavy computational load of the conventional method and also can continuously track the target even with occlusion. The proposed method is applied to an automatic target tracker using high speed 16bit microprocessor in order to track one moving target in real time. Experimental results show that the proposed method has better performance over the conventional method in spite of greately reducing the computational load, even in case with complex background and/or with occlusion.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.163.1-163
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• 2001

In this paper, we use time-frequency localization analysis method to analize the target function and the area of the target space. When we analize the function with the time and frequency axis simultaneously, the characteristic of the function is shown more precisely and the area is covered by a certain block. After we analize the target function in the time-frequency space, we can decide the activation functions and compose the hidden layer of the RBFN by choosing the radial basis function which can represent the characteristic of the target function, RBFN made by this method, designs the good structure proper to the target problem because we can decide the number of hidden node first.

• 제어로봇시스템학회논문지
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• 제4권6호
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• pp.747-752
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• 1998

Ultrasonic sensors have been widely used to recognize the working environment for a mobile robot. However, their intrinsic problems, such as specular reflection, wide beam angle, and slow propagation velocity, require an excessive number of sensors to be integrated for achieving the sensing goal. This paper proposes a new measurement scheme which uses only two sets of ultrasonic sensors to determine the location and the type of a target surface. By measuring the time difference between the returned signals from the target surface, which are generated by two transmitters with 1 ㎳ difference, it classifies the type and determines the size of the target surface. Since the proposed sensor system uses only two sets of ultrasonic sensors to recognize and localize the target surface, it significantly simplifies the sensing system and reduces the signal processing time so that the working environment can be recognized in real time.