• Proceedings of the IEEK Conference
• /
• 2006.06a
• /
• pp.75-76
• /
• 2006

A new broadcasting standard for Digital Multimedia Broadcasting(DMB) has been announced in Korea to provide audio, video, and data broadcasting services. There exist two types of DMB; terrestrial DMB and satellite DMB. And in order to service DMB on the single system, the integration of RF module is required. In this paper, we describe an integrated RF tuner module that can receive T-DMB and S-DMB at the same time, which includes an L-band down-converter, a Band III tuner, and a S-DMB tuner.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2002.03a
• /
• pp.219-227
• /
• 2002

In this paper, we designed neural network predictive PID controller to control sway happened in transfer of trolley for automatic travel control system. We include dynamic character of nonlinear system, and mathematical expression veny simple used neural network. When various establishment location and surrounding disturbance were approved based on mathematical modelling of crane, controller designed to become effective control location error and vibration angle of two control variables that simultaneously can predictive control. Neural network predictive PID controller produced parameter of PID controller using neural network self-tuner. Neural network self-tuner's input used crane's output and neural network predictive output. Neural network self-tuner using error back propagation algorithm. We analyzed control performance comparison through computer simulation when applied disturbance about sway of location and angle in transfer of crane. The results show that the proposed neural network predictive PID controller has better performances than general PID controller, neural network PID controller.

• Korean Journal of Clinical Laboratory Science
• /
• v.42 no.3
• /
• pp.111-115
• /
• 2010

A 15-year-old female with primary amenorrhea and Tuner's syndrome feature was referred for a chromosome analysis. The karyotype of the patient was 45,X/46,X,der(Y) mosaicism under initial GTG-banding analysis. Fluorescence in situ hybridization (FISH) analysis with probe for CEP X probes and SRY probe (Vysis, Inc. Downers Grove, IL 60515, USA) was carried out. This probe is direct labeled with SpectrumOrange (SRY, Yp11.3) and is available as a single probe or mixed with the CEP X SpectrumGreen probe. SRY SpectrumOrange/CEP X SpectrumGreen hybridized to a specimen obtained from an two isodicentric Y chromosomes. The karyotype of the patient was ish Xcen(DXZ1x1)/Xcen(DXZ1x1), Yp11.3(SRYx2) by using FISH. This karyotype was considered a variant of Tuner syndrome with mixed gonadal dysgenesis (MGD), male pseudohermaphroitism (MPH) and apparently normal male.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2021.11a
• /
• pp.446-448
• /
• 2021

In training a deep learning model, it is crucial to tune various hyperparameters and gain speed and accuracy. While hyperparameters that mathematically induce convergence impact training speed, system parameters that affect host-to-device transfer are also crucial. Therefore, it is important to properly tune and select parameters that influence the data loader as a system parameter in overall time acceleration. We propose an automated framework called Num Worker Tuner (NWT) to address this problem. This method finds the appropriate number of multi-processing subprocesses through the search space and accelerates the learning through the number of subprocesses. Furthermore, this method allows memory efficiency and speed-up by tuning the system-dependent parameter, the number of multi-process spawns.

• 제어로봇시스템학회:학술대회논문집
• /
• 1996.10b
• /
• pp.184-187
• /
• 1996

In this paper, an algorithm for tuning gains of a PID controller is proposed. The proposed algorithm is composed of two stages. The first is a stage for Lyapunov function-based initial stabilization of an overall system and rough tuning gains of the PID controller. The other is that for fine tuning gains of the PID controller. All tunings are performed by using the well-known fuzzy logic-based tuner. The computer simulations are performed to show the validity of the proposed algorithm and results are presented.

• Journal of the Korean Institute of Telematics and Electronics
• /
• v.23 no.4
• /
• pp.439-444
• /
• 1986

In this paper the PID-B self-tuner[1] is extended to allow a less abrupt response to set point or plant parameter changes and to control a nonminimum phase plant. The proposed extended PID/ST derived from the direct pole-placement PID/ST is obtained with the Bezout identity as the underlying design method. And its control gains are normalized by the integral control gain. Although the integral control gain is normalized to 1 in our scheme, the so-called "set point and derivative kick" can be avoided sufficiently by normalizing the measurement vector and set point.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.25 no.4B
• /
• pp.613-623
• /
• 2000

Digital TV tuner for 8-VSB modulation was developed with satisfying the requirements of ATSC. The double frequency conversion and the active tracking filter in the front-end were used to reduce interference of the adjacent channels and multi-channels, which suppress If beat and image band. However, it was impossible to get frequency mapping between tracking filter and first VCO(Voltage Controlled Oscillator) in the double conversion digital TV tuner differing from conventional NTSC tuner. This paper, therefore, suggests the available structure and a new method for automatic frequency selection by obtaining the mapping of frequency characteristic over tracking voltage and the combined hardware which compose of Micro-controller, EEPROM, D/A(Digital-to-Analog Converter), OP amp and switch driver to solve above problems.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.13 no.3
• /
• pp.322-327
• /
• 2003

The water level of a steam generator of pressurized light water nuclear Power generator is known as a subject whose control is difficult because of a shrinking and swelling effect that is been mutually contradictory in a variation of feed water. In this paper, a neural network model selects first coordinative controller by a inappropriate gain of two PI controllers and the selected controller＇s gain is tuned by a fuzzy self-tuner. Model inputs consist of the water level, the feed water, and the stream flow. One controller of both coupling controllers whose gain is handled firstly is decided based upon above data. The proposed method can analyze patterns of signals using the characteristic of neural networks and select one controller that needs to be tuned through the observed result in this paper. If one controller between both the water level controller and the feed water controller is selected by the neural network model then a gain of the PI controller is suitably tuned by the fuzzy self-tuner. Rules of the fuzzy self-tuner drew from the pattern of input and output data. In the summary, the goal of this Paper is to select the suitable controller and tune the control gain of the selected controller suitably through such two processes.

• IT SoC Magazine
• /
• s.10
• /
• pp.40-46
• /
• 2006

• Proceedings of the Microbiological Society of Korea Conference
• /
• 2009.05a
• /
• pp.127-128
• /
• 2009