• Journal of Korean Society of Transportation
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• v.18 no.5
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• pp.83-97
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• 2000

The traffic management schemes through traffic signal control and information provision could be effective when the link-level data and trip-level data were used simultaneously in analysis Procedures. But, because the trip-level data. such as origin, destination and departure time, can not be obtained through the existing surveillance systems directly. It is needed to estimate it using the link-level data which can be obtained easily. Therefore the objective of this study is to develop the model to estimate O-D demand using only the link flows in highway network as a real time. The methodological approaches in this study are kalman filer, least-square method and normalized least-square method. The kalman filter is developed in the basis of the bayesian update. The normalized least-square method is developed in the basis of the least-square method and the natural constraint equation. These three models were experimented using two kinds of simulated data. The one has two abrupt changing Patterns in traffic flow rates The other is a 24 hours data that has three Peak times in a day Among these models, kalman filer has Produced more accurate and adaptive results than others. Therefore it is seemed that this model could be used in traffic demand management. control, travel time forecasting and dynamic assignment, and so forth.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.42 no.1
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• pp.39-47
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• 2005

The range of hardware implementation increases in communication systems as high-speed processing is required for high data rate. In the broadband wireless access (BWA) system based on IEEE standard 802.16 the functions of higher part in the MAC layer to Provide data needed for generating MAC PDU are implemented in software, and the tasks from formatting MAC PDUs by using those data to transmitting the messages in a modem are implemented in hardware. In this paper, the interface hardware for efficient message exchange between MAC and PHY layers in the BWA system is designed. The hardware performs the following functions including those of the transmission convergence(TC) sublayer; (1) formatting TC PDU(Protocol data unit) from/to MAC PDU, (2) Reed-solomon(RS) encoding/decoding, and (3) resolving DL MAP and UL MAP, so that it controls transmission slot and uplink and downlink traffic according to the modulation scheme of burst profile. Also, it provides various control signal for PHY modem. In addition, the truncated binary exponential backoff (TBEB) algorithm is implemented in a subscriber station to avoid collision on contention-based transmission of messages. The VLSI architecture performing all these functions is implemented and verified in VHDL.

• Journal of Korea Water Resources Association
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• v.33 no.2
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• pp.247-262
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• 2000

In this paper, the WSANN(Water Stage Analysis with Neural Network) model was presented so as to predict flood water stage at Jindong which has been the major stream gauging station in Nakdong river basin. The WSANN model used the improved backpropagation training algorithm which was complemented by the momentum method, improvement of initial condition and adaptive-learning rate and the data which were used for this study were classified into training and testing data sets. An empirical equation was derived to determine optimal hidden layer node between the hidden layer node and threshold iteration number. And, the calibration of the WSANN model was performed by the four training data sets. As a result of calibration, the WSANN22 and WSANN32 model were selected for the optimal models which would be used for model verification. The model verification was carried out so as to evaluate model fitness with the two-untrained testing data sets. And, flood water stages were reasonably predicted through the results of statistical analysis. As results of this study, further research activities are needed for the construction of a real-time warning of the impending flood and for the control of flood water stage with neural network method in river basin. basin.

• 한국체육학회지인문사회과학편
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• v.58 no.6
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• pp.449-459
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• 2019

The purpose of this study is to identify how postural mechanics affects postural control on balance and stability by using frequency analysis technique from the kinematic data acquired during the one leg standing posture. For this purpose, the experimental group consisted of two groups, the normal group (n=6) and the national Gymnastics group (n=6). Displacement data of CoP were analyzed by frequency analysis of rambling (RM) and trembling (TR) by FFT signal processing. As a results, there was a significant difference in evaluating the stabilization index between the two groups with the eyes open and closed one leg stnading (p <.05). The cause of the difference was found to be the output of the maximum amplitude of RM (f1) and TR (f2) (p <.05). In particular, in the low frequency RM of 8-9 Hz, which is a natural frequency of signal wave involved in postural feedback feedback, the main frequency appeared to be performs the exercise mechanism of stable brain posture control. And in the high frequency TM of 120-135 Hz, it is considered that the adaptation of the reflective muscle response is minimized to minimize posture shaking. In conclusion, this study provides evidence for the intrinsic main frequencies according to the postural control ability which affects the CNS in one leg standing.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.6-6
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• 2017

농용트랙터의 전방차축 현가장치는 노면으로부터 발생하는 진동의 영향을 줄일 수 있기 때문에 트랙터의 대형화, 고속화의 추세에 맞춰서 승차감과 조향감을 향상시키는 데 중요한 역할을 한다. 전방차축의 현가장치는 트랙터의 차체 무게에 의한 부하가 크고, 또한 유압 펌프를 비롯한 유압시스템이 존재하기 때문에 유압식 회로로 구성하는 것이 바람직하다. 하지만, 현가장치의 유압회로를 개발하는데 있어서 실제 시스템을 구성하여 실제 실험을 통한 개발에는 비용과 시간이 많이 필요하다. 본 연구에서는 유압식 전방차축 현가장치에 필요한 유압회로부 개발을 위하여 시뮬레이션 기법과 요인시험 장치를 이용 적정 유압회로를 설계하고자 하였다. 이를 위하여 어큐뮬레이터, 가변 오리피스, 릴리프밸브, 체크밸브 등으로 구성된 유압 현가요인 시험 장치를 설계 제작하였으며, 현가 부품인 실린더 행정, 속도, 전달되는 힘을 측정하고, 유압 해석 프로그램인 SimulationX를 이용 구성된 유압회로 부품에 측정값을 입력하여 실제 조건과 유사한 동특성을 나타내는 전방차축 현가요인 시뮬레이션 모델을 개발하였다. 개발된 시뮬레이션 모델을 이용하여 실제 시험조건과 같은 가진 조건을 부여하여 개발 현가장치의 특성 값 변동에 따른 현가 성능을 구명하였다. 이를 위해 시뮬레이션 상에서 120 마력 트랙터 무게의 50% 수준에 해당하는 2,000 kg의 부하가 존재하는 상태에서 현가장치의 유/무에 따른, 감쇠 계수의 변화에 따른 스프링상 질량의 RMS 가속도를 비교하였다. 입력 가진으로는 1 Hz, 4 Hz, 8 Hz의 진동수에 각각 10 mm, 6.4 mm, 3.2 mm의 진폭을 인가하였다. 시뮬레이션 결과, 1 Hz에서는 현가장치가 있는 경우 최대 55.9% 개선되었고, 4 Hz에서는 최대 3.9 % 개선되었고, 8 Hz에서는 최대 61.4%까지 개선되었다. 이는 4 Hz의 경우에는 2,000 kg의 부하에 해당하는 고유 진동수 대역에 해당하기 때문에 그 감쇠 효과가 없는 것으로 나타났다. 하지만, 다른 주파수 대역에서는 현가장치가 효과적으로 작동하는 것을 나타내었다. 설계한 전방차축 현가 유압회로부를 시뮬레이션을 통하여 분석한 결과, RMS 가속도의 개선이 명확하게 이루어지는 것을 확인하였으며 입력 주파수 변화에 따라 감쇠특성도 나타나는 것을 확인하였다. 추후 연구에는 설계한 유압회로부와 관련 부품을 설계 제작하여 실제 트랙터에 장착 그 성능을 검증할 예정이며, 노면조건에 따라 감쇠성능을 유지하기 위한 반능동형 또는 적응형 현가장치 제어 기술을 적용하여 개선된 현가성능을 확보하기 위한 연구를 수행할 예정이다.

• The KIPS Transactions:PartB
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• v.11B no.1
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• pp.83-90
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• 2004

Strategic games are missing special qualities of genre these days. Game engines neither reason about behaviors of computer objects nor have learning ability that can prepare countermeasure in variously command user's strategy. This paper suggests a strategic game engine that applies non-monotonic reasoning and inductive machine learning. The engine emphasizes three components -“user behavior monitor”to abstract user's objects behavior,“learning engine”to learn user's strategy,“behavior display handler”to reflect abstracted behavior of computer objects on game. Especially, this paper proposes two layered-structure to apply non-monotonic reasoning and inductive learning to make behaviors of computer objects that learns strategy behaviors of user objects exactly, and corresponds in user's objects. The engine decides actions and strategies of computer objects with created information through inductive learning. Main contribution of this paper is that computer objects command excellent strategies and reveal differentiation with behavior of existing computer objects to apply non-monotonic reasoning and inductive machine learning.

• Journal of KIISE
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• v.41 no.9
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• pp.728-743
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• 2014

Finger printing and sequence alignment are well-known approaches for document similarity comparison. A fingerprinting method is simple and fast, but it can not find particular similar regions. A string alignment method is used for identifying regions of similarity by arranging the sequences of a string. It has an advantage of finding particular similar regions, but it also has a disadvantage of taking more computing time. The Multi-Level Alignment (MLA) is a new method designed for taking the advantages of both methods. The MLA divides input documents into uniform length blocks, and then extracts fingerprints from each block and calculates similarity of block pairs by comparing the fingerprints. A similarity table is created in this process. Finally, sequence alignment is used for specifying longest similar regions in the similarity table. The MLA allows users to change block's size to control proportion of the fingerprint algorithm and the sequence alignment. As a document is divided into several blocks, similar regions are also fragmented into two or more blocks. To solve this fragmentation problem, we proposed a united block method. Experimentally, we show that computing document's similarity with the united block is more accurate than the original MLA method, with minor time loss.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.4
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• pp.159-166
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• 2016

In this paper, an active object tracking system basing on the pan/tilt-embedded stereo camera system is suggested and implemented. In the proposed system, once the face area of a target is detected from the input stereo image by using a YCbCr color model and phase-type correlation scheme and then, using this data as well as the geometric information of the tracking system, the distance and 3D information of the target are effectively extracted in real-time. Basing on these extracted data the pan/tilted-embedded stereo camera system is adaptively controlled and as a result, the proposed system can track the target adaptively under the various circumstance of the target. From some experiments using 480 frames of the test input stereo image, it is analyzed that a standard variation between the measured and computed the estimated target's height and an error ratio between the measured and computed 3D coordinate values of the target is also kept to be very low value of 1.03 and 1.18% on average, respectively. From these good experimental results a possibility of implementing a new real-time intelligent stereo target tracking and surveillance system using the proposed scheme is finally suggested.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.85-85
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• 2011

홍수기에 안전하고 정확한 유량측정을 통하여 물관리에 필요한 기초수문자료를 확보하고자 한국수자원공사에서 1993년도부터 홍수유량측정기술 확보를 위한 연구를 시작하였다. 그간의 연구성과를 바탕으로 1999년도에 하천의 유속을 비접촉식으로 측정할 수 있는 홍수용 전자파표면유속계를 개발하여 특허등록하였고 그와 동시에 이의 상품화를 추진하여 2010년도까지 75대를 보급하여 실무에서 이용하고 있다. 이동식인 홍수용 전자파표면유속계를 바탕으로 2001년도에는 고정식 실시간 홍수유량측정측정시스템을 개발하여 특허등록하였고, 이 시제품을 현재 용담 수자원시험유역의 동향지점에서 시험운영하고 있다. 또한, 현장 유량측정실무자들의 홍수용 전자파표면유속계 개선요구에 따라 편각용 전자파표면유속계 시제품을 개발하였으며, 이는 임의의 한 지점에 설치한 한 대의 장비로 좌우 여러 측선의 유속을 동시에 측정할 수 있는 다점 측정기능을 갖도록 성능을 개선하였다. 이에 따라 홍수시 유량측정에 소요되는 시간이 줄어들어 신속하게 유량측정을 완료할 수 있는 계기를 마련하였다. 이와 더불어 유속측정 범위를 확장하여 홍수시의 고유속 뿐만 아니라 0.5 m/s 이하의 저유속까지 측정할 수 있는 범용 전자파표면유속계의 시제품을 추가로 개발하였다. 이 장비는 최저유속 0.03 m/s의 측정을 실내시험을 통하여 입증하였다. 범용 전자파표면유속계는 상품화 시제품의 개발을 목표로 기존 시제품의 현장시험을 통하여 현장적용상의 문제점에 대한 해결에 주력하였다. 첫째, 평갈수용 전자파표면유속계의 사용편의를 개선하기 위하여 소형화 및 경량화를 추진하였고, 이를 위하여 사용주파수를 기존의 10 GHz에서 24 GHz로 변경함으로써 $35{\times}35\;cm$ 크기의 기존안테나를 $22{\times}22\;cm$ 크기로 소형화하였으며 송수신부의 무게는 기존 18 kg에서 3.3 kg으로 혁신적으로 줄이는데 성공하였다. 이를 위하여 안테나는 기존의 반사형안테나에서 도파관슬롯배열안테나로 변경하였다. 둘째, 측정값의 안정화를 위하여 안테나의 특성을 개선하여 부엽(side-lobe) 레벨 30 dB 이하 그리고 전후방비(front-back ratio) 50 dB 이하로 개선하여 안테나가 지향하는 방향 이외의 위치에서 반사되는 불필요한 신호를 줄였다. 또한 적응형 이득제어(adaptive gain control)기법의 채택으로 미소 신호에 대한 안정적 측정 및 과다 신호에 대한 능동적 감쇄를 할 수 있도록 시스템을 구성하여 전 유속범위에 대한 안정적 측정을 가능토록 설계 및 제작하였다. 셋째, 자가점검 기능을 탑재하여 유속측정 전에 기기의 상태에 대한 self test기능을 통하여 측정자가 기기의 상태를 사전에 파악 가능토록함으로써, 기기 오작동에 대한 능동 대처할 수 있도록 하였다. 이외에도 저전력 회로설계를 통하여 배터리 사용시간을 확장하였고, 기존의 전자파표면유속계가 가지고 있던 방습 및 방수에도 내성을 갖는 제품으로 설계하였으며 스마트기기를 이용한 무선측정 및 세련된 디자인 등 사용자의 요구사항을 충분히 반영하였다.

• Journal of the Microelectronics and Packaging Society
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• v.31 no.1
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• pp.16-22
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• 2024

Along with the high interest in electric vehicles and new renewable energy, there is a growing demand to apply lithium-ion batteries in the construction equipment industry. The capacity of heavy construction equipment that performs various tasks at construction sites is rapidly decreasing. Therefore, it is essential to accurately predict the state of batteries such as SOC (State of Charge) and SOH (State of Health). In this paper, the errors between actual electrochemical measurement data and estimated data were compared using the Dual Extended Kalman Filter (DEKF) algorithm that can estimate SOC and SOH at the same time. The prediction of battery charge state was analyzed by measuring OCV at SOC 5% intervals under 0.2C-rate conditions after the battery cell was fully charged, and the degradation state of the battery was predicted after 50 cycles of aging tests under various C-rate (0.2, 0.3, 0.5, 1.0, 1.5C rate) conditions. It was confirmed that the SOC and SOH estimation errors using DEKF tended to increase as the C-rate increased. It was confirmed that the SOC estimation using DEKF showed less than 6% at 0.2, 0.5, and 1C-rate. In addition, it was confirmed that the SOH estimation results showed good performance within the maximum error of 1.0% and 1.3% at 0.2 and 0.3C-rate, respectively. Also, it was confirmed that the estimation error also increased from 1.5% to 2% as the C-rate increased from 0.5 to 1.5C-rate. However, this result shows that all SOH estimation results using DEKF were excellent within about 2%.