• Journal of the Korea Institute of Information and Communication Engineering
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• v.4 no.4
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• pp.817-824
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• 2000

This paper presents circuit DQ modeling and analysis of operating characteristics of hybrid cascade multilevel PWM rectifier, especially five-level, without isolation transformers. The circuit DQ transformation changes the original three-phase time varying circuit to stationary equivalent one by employing the synchronously rotating transformation matrix. As a result of circuit DQ modeling, the operating characteristics and some useful design relationships for the system are obtained with ease. That is, the analytic equations for DC voltages and active/reactive power supplied by source with respect to control variables are Presented. Moreover, the DC voltages for the multilevel output generation may be directly built up from AC utility source and the important control equation ensuring 5-level output voltage is obtained. Finally, to confirm the validity of the analysis, MATLAB simulations are carried out and the simulation results show good agreements between analytic predictions and the simulated waveforms.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.474-477
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• 2021

Recently, in order to prevent the proliferation of COVID-19, which began in earnest in 2020, an increasing number of places have been measuring the temperature and required to wear a mask. However, as wearing a mask and checking the temperature are typically measured directly by a person or by a single individual positioned in front of the machine, standards may vary based on the person's manual measurement method, wasting workforce. While standing in front of a device often measures the maximum temperature of the face, the standard of fever is also unclear. Both approaches can create bottleneck situations when checking large numbers of people. Furthermore, it is unable to conduct periodic measurements and tracking because the measuring machines are generally put only at the entrance. Thus, this study suggests a method for preventing the spread of infectious diseases by automatically identifying and displaying unmasked people and those with fever in real-time using a general camera, a thermal imaging camera, and an artificial intelligence algorithm.

• Proceedings of the IEEK Conference
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• 2001.06c
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• pp.185-188
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• 2001

In this paper, a cascade fuzzy control method is proposed, which presents a robustness of the effect of disturbances, and in which the number of rules of the controller increase linearly instead of exponentially with the number of input variables. The proposed fuzzy control method is composed of cascade structure. Each stage has a state and a change of state, and one consequent control variable, and previous consequent control variable is an input of next stage. Simulation of the proposed controller, which is applied to the linear and nonlinear system as SISO (single-input single-output) system, showed that the proposed control method has a good control performance and robustness of disturbances compared with a conventional fuzzy control method.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.1
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• pp.1-10
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• 1994

Among the various methods of realizing low sensitivity digital filters. LBR two-pair cascading is one which enables us to realize low sensitivity filter without referring to any analog prototype filters. In this paper we analyze the LBR cascade structures through the fundamental approach to them based on the WDF theory, and interpret their features described solely in the digital domain in relation to the corresponding analog circuit Besides, we derive in a unified manner various LBR constraints needed for the LBR cascade realization, point out the insufficiency lurking in the existing description of the Type 3 LBR constraints, complement it, and make the LBR two-pair cascading procedure complete.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.93.3-93
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• 2001

We propose the cascade PID type fuzzy control method for a good performance such as robustness. The one of proposed method, the first stage have two input variables of an error and a derivative error, and one output variable, and the next stage have two input variables of the output of first stage and an integral error, and one output variable, have two stages. The other, the first stage has one input of an error, and one output variable, and the second stage have two input of the output of first stage and a derivative error, and one output variable, and the third stage have two input of the output of the second stage and an integer error, and one output variable ...

• Journal of the Korean Institute of Telematics and Electronics
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• v.17 no.6
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• pp.93-98
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• 1980

In this paper, the principles of cascade realization o( conservative logic circuits are explored and the problem of realizing arbitrary 3-3 logic circuit with mini mal number of logic elements is handled, The five primitive classes 5, 15, 21, 24 and 29 are selected to realize all of the 31 equivalent c]asses by cascading only two of them. The crossovers of lines are permitted in this realization 3nd the upper bound of crossovers is three. The results are summarized and listed in a table.

• Journal of IKEEE
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• v.21 no.4
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• pp.388-396
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• 2017

Since there are many variables such as various poses, illuminations and occlusions in a face detection problem, a high performance detection system is required. Although CNN is excellent in image classification, CNN operatioin requires high-performance hardware resources. But low cost low power environments are essential for small and mobile systems. So in this paper, the CPU-FPGA integrated system is designed based on 3-stage cascade CNN architecture using small size FPGA. Adaptive Region of Interest (ROI) is applied to reduce the number of CNN operations using face information of the previous frame. We use a Field Programmable Gate Array(FPGA) to accelerate the CNN computations. The accelerator reads multiple featuremap at once on the FPGA and performs a Multiply-Accumulate (MAC) operation in parallel for convolution operation. The system is implemented on Altera Cyclone V FPGA in which ARM Cortex A-9 and on-chip SRAM are embedded. The system runs at 30FPS with HD resolution input images. The CPU-FPGA integrated system showed 8.5 times of the power efficiency compared to systems using CPU only.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.833-835
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• 2022

코로나 19(Covid-19)사태의 장기화로 비접촉 시스템이 선호됨에 따라 서비스 로봇 시장이 발전하고 있다. 그 중 공항은 특히 접촉에 대한 우려가 큰 장소로 공항 이용객의 안전과 편의를 위한 로봇 시장의 발전이 필요하다. 따라서 영상인식 기반 Haar Cascade 알고리즘을 이용한 트래킹 및 자율주행 기술의 로봇을 개발하였다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.6
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• pp.529-534
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• 2017

In this paper, the implementation of proposed Automatic Load Balanced (ALB) PWM generation method is discussed. The conventional PWM generation method for cascade type H-bridge PWM converter causes the unbalance between each H-bridge converter, therefore the complex redundancy is required for the balancing of switching load of each converter, it consumes more computing power of controller. The ALB PWM method needs no additional switching redundancy for balancing, this paper discusses the implementation of ALB-PWM.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.703-715
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• 2017

Mammogram images are sensitive in nature and even a minor change in the environment affects the quality of the images. Due to the lack of expert radiologists, it is difficult to interpret the mammogram images. In this paper an algorithm is proposed for a computer-aided diagnosis system, which is based on the wavelet based adaptive sigmoid function. The cascade feed-forward back propagation technique has been used for training and testing purposes. Due to the poor contrast in digital mammogram images it is difficult to process the images directly. Thus, the images were first processed using the wavelet based adaptive sigmoid function and then the suspicious regions were selected to extract the features. A combination of texture features and gray-level co-occurrence matrix features were extracted and used for training and testing purposes. The system was trained with 150 images, while a total 100 mammogram images were used for testing. A classification accuracy of more than 95% was obtained with our proposed method.