• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.23 no.12
• /
• pp.1666-1672
• /
• 2019

A closed loop wireless transmission method adaptive to mobile unit speed is proposed in this paper. A mobile communication node measures the mobile speed based on the transmitted pilot signals through Doppler frequency estimation, and it changes the transmission period of pilot signals as per estimated mobile speed adaptively. The pilot signals with the different transmission periods are transmitted using the different PN sequences with the previous ones without any explicit information about the new period. The corresponding receiver node can detect and extract the transmitted pilot signals through blind search of the transmitted PN sequences of the pilot signals, and it can demodulate and decode the transmitted information using the channel estimation results based on the detected pilot signals. The performance of the proposed method had been analyzed through the simulation under the fading channel environments and compared with the previous methods. The simulation results showed performance improvement of the proposed method over the existing ones.

• Proceedings of the KIEE Conference
• /
• 2007.07a
• /
• pp.1241-1242
• /
• 2007

전세계가 고유가 시대로 들어서면서 각국은 에너지 확보에 전력을 기울이고 있다. 이에 대체 에너지 개발이 미래의 중요한 과제로 여겨지고 있다. 본 연구에서는 결정질 실리콘 태양전지의 대안으로 주목받고 있는 염료감응형 태양전지를 다루어 보았다. 유효면적 $8cm^2$의 염료감응형 태양전지의 직병렬 조합을 이용하여 DSSC 모듈을 만들어 얻은 출력을 전력변환 시킴으로써 상용전원을 얻고자 하였다. 염료감응형 태양전지모듈을 만들기 위해 먼저 DSSC의 단위 셀을 최적화 시키고 이를 실제 광원에서 다양한 직병렬 연결 시도 끝에 모듈로부터 약 5.7V, 3A의 출력을 얻을 수 있었다. 이를 Boost converter를 이용하여 전압을 12V까지 승압하고 이 출력을 고속 스위칭 소자인 MOSFET을 이용하여 스위칭한 Push-pull converter에서 DC 310V까지 승압시켰다. 그리고 그 출력을 DSP를 이용한 20[kHz]의 PWM신호를 만들어 제어한 결과, AC 220V의 상용전원을 얻었다. 그리고 이 전원을 부하에 연결하여 그 동작 특성을 연구하였다.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.17 no.4
• /
• pp.54-62
• /
• 2018

As a part of realization of artificial intelligence signal(AI Signal), this study proposed an actuated signal algorithm based on vehicle queue length that estimates in real time by deep learning. In order to implement the algorithm, we built an API(COM Interface) to control the micro traffic simulator Vissim in the tensorflow that implements the deep learning model. In Vissim, when the link travel time and the traffic volume collected by signal cycle are transferred to the tensorflow, the vehicle queue length is estimated by the deep learning model. The signal time is calculated based on the vehicle queue length, and the simulation is performed by adjusting the signaling inside Vissim. The algorithm developed in this study is analyzed that the vehicle delay is reduced by about 5% compared to the current TOD mode. It is applied to only one intersection in the network and its effect is limited. Future study is proposed to expand the space such as corridor control or network control using this algorithm.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.10 no.6
• /
• pp.1-14
• /
• 2011

The surrogate safety assessment model which was developed based on the conflict theory by FHWA in the US is software to analyze traffic conflicts using the individual vehicle trajectory data from a microscopic traffic simulation model. This study aims at assessing the safety of different signal control strategies, including pre-time and actuated signal control, using the SSAM. To this end, this study effort has developed a microscopic traffic simulation model using VISSIM through a field study, and then produced the surrogate measures, including TTC, PET, DR, MaxS and DeltaS, and the numbers of conflicts, including rear-end, right angle and lane-changing conflicts. The assessment results indicated that the actuated signal control may produce more conflicts in terms of rear-end conflicts. The use of SSAM in the safety assessments for diverse traffic alternatives in a safe and fast way may contribute to the improvement of safety in the roadway transportation.

• Journal of the Korean Magnetics Society
• /
• v.21 no.5
• /
• pp.167-173
• /
• 2011

Underwater static magnetic field signature for the naval ship has been widely used as the detonating source of the influence mine system because it is possible to make an accurate target detection in the near field although the magnetic field falls off relatively fast with distance in comparison with the underwater radiated noise signal. In this paper, we describe the prediction results about the underwater static magnetic field by the ferromagnetic hull, the internal structures and the main on-board equipment for the target vessel using the commercial FEM software. Also we analyze the degaussing effectiveness for the target vessel through the degaussing coils arrangement.

• Journal of Korean Society of Transportation
• /
• v.22 no.7 s.78
• /
• pp.161-167
• /
• 2004

While most or fixed-time control systems such as UTCS produce the signal timing plans that either maximizing bandwidth or minimizing a disutility index of delay and stops, cannot consider the fluctuation of traffic flow. One category of the traffic-response control systems, which make small changes on a predefined signal plan such as SCOOT, cannot be easily modified for feedback real-time control schemes based on observation of variables other than traffic flow. The other category, which decide to whether switch the traffic lights or not at each step of time as in PRODYN, does not adequately consider the relations between traffic flows and traffic lights at each step of time. In this paper we present a complete formulation that adequately consider the relations between traffic flows and traffic lights at each step of time. The formulation is a binary mixed integer linear programing (BMILP) that obtain traffic lights at each step for minimizing delay. Since numarical examples for application of the proposed model illustrated that the model adequately produced dynamic traffic signal plans minimizing delay at each step, the model may be expected to contribute to advanced transportation management systems (ATMS) for dynamic traffic signal control.

• 한국ITS학회:학술대회논문집
• /
• 2004.11a
• /
• pp.143-148
• /
• 2004

• Journal of Korean Society of Transportation
• /
• v.21 no.3
• /
• pp.71-83
• /
• 2003

An arterial street control is performed for the purpose of the progression of a traffic flow using the arterial. However during the progression in the arterial, the change according to the time is one of the most representative problems occurring at a signal plan. This paper intends to efficiently operate the arterial progression by applying fuzzy logic, which is thought to be the most possible one in the inference as that of the human logic, to the traffic responsive control system. Fuzzy Logic controller is appliable to the daily human language (linguistic). can be dealt with the uncertain traffic data and is useful on planning the signal control to sensitively confront the randomly changing traffic condition. This study, based on the signal control part of the isolated intersection in "A Development of a Real-time, Traffic Adaptive Control Scheme Through VIDs"(Seong Ho. Kim. 1996). suggested the strategy for the progression control in the arterial and analyzed its effect by comparing the effect of the existing control method. In addition, the study compared each effect by using TRAF-NETSIM which is the traffic simulation software to analyze each control method.

• Journal of the Korean Chemical Society
• /
• v.43 no.3
• /
• pp.271-279
• /
• 1999

A new enzyme electrode was developed by co-mobilization of chicken small intestinal tissue and ferrocene in a carbon paste for the determination of hydrogen peroxide, and its electrochemical properties are evaluated. The electrode showed the response time(t100%) as short as 3 set, the detection limit of 5.0${\times}$10-5 M,and a good selectivity for the possible interferents tested. The electrode also offered a good linearity in calibration, a higher biocatalytic stability and a larger responding signal as compared with the other animal or plant tissue based sensors.

• The Korean Journal of Mycology
• /
• v.23 no.4 s.75
• /
• pp.354-358
• /
• 1995

A yeast loading biochemical oxygen demand (BOD) sensor was designed and constructed to quickly measure the concentration of biologically assimilable organic substances dissolved in water as BOD values to feed back to the waste water treating processes. The sensitivity of the BOD sensor reached maximum at around pH 7.0 and $30^{\circ}C$ where yeast showed the highest assimilation activity. Biomass also affected the sensor output, and biomass of $ 0.14\;mg/cm^2$ on the dialysis membrane appeared to be the optimum cell mass level. The sensitivity of the sensor depended on the kinds of pollutants and increased considerably when the yeast was preincubated in the solution of respective pollutants before loading on the sensor.