• Journal of Information Processing Systems
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• 제17권6호
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• pp.1170-1178
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• 2021

This paper proposed a versatile algorithm based on a dual-tree complex wavelet transform for intensifying the visual aspect of medical images. First, the decomposition of the input image into a high sub-band and low-sub-band image is done. Further, to improve the resolution of the resulting image, the high sub-band image is interpolated using Lanczos interpolation. Also, contrast enhancement is performed by singular value decomposition (SVD). Finally, the image reconstruction is achieved by using an inverse wavelet transform. Then, the Gaussian filter will improve the visual quality of the image. We have collected images from the hospital and the internet for quantitative and qualitative analysis. These images act as a reference image for comparing the effectiveness of the proposed algorithm with the existing state-of-the-art. We have divided the proposed algorithm into several stages: preprocessing, contrast enhancement, resolution enhancement, and visual quality enhancement. Both analyses show the proposed algorithm's effectiveness compared to existing methods.

• 전자공학회논문지C
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• 제35C권9호
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• pp.11-20
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• 1998

고속 복소수 연산장치는 채널등화, 동기신호 복원, 변조 및 복조 등 디지탈 통신 시스템의 기저대역 신호처리에 필수적인 기능블록이다. 본 논문에서는 redundant binary (RB) 연산과 radix-4 Booth recoding을 결합한 새로운 복소수 승산 알고리듬을 제안한다. 제안되는 복소수 승산 방법은 실수 승산기를 사용하는 기존의 방법과 비교하여 부분곱의 수를 반으로 감소시키며, 단순화된 병렬구조로 구현되므로 고속 동작 및 저전력 소모를 가능하게 한다. 제안된 알고리듬을 적용하여 10-bit operand를 갖는 prototype 복소수 승산-누적기(complex-number multiplier-accumulator ; CMAC) 코어를 0.8-㎛ N-Well CMOS 공정으로 설계, 제작하였다. 제작된 CMAC 칩은 18,000여개의 트랜지스터로 구성되며, 코어부분의 면적은 약 1.60 × 1.93 ㎟이다. 제작된 칩을 테스트 보드에 실장하여 특성을 평가한 결과, 전원전압 V/sub DD/=3.3-V에서 120-MHz의 속도로 동작함을 확인하였으며, 이때의 전력소모는 약 63-mW로 측정되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권4호
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• pp.1437-1459
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• 2020

Wireless Sensor Networks (WSN) is a distributed Sensor network whose terminals are sensors that can sense and check the environment. Sensors are typically battery-powered and deployed in where the batteries are difficult to replace. Therefore, maximize the consumption of node energy and extend the network's life cycle are the problems that must to face. Low-energy adaptive clustering hierarchy (LEACH) protocol is an adaptive clustering topology algorithm, which can make the nodes in the network consume energy in a relatively balanced way and prolong the network lifetime. In this paper, the novel multi-objective LEACH protocol is proposed, in order to solve the proposed protocol, we design a multi-objective coupling algorithm based on bat algorithm (BA), glowworm swarm optimization algorithm (GSO) and bacterial foraging optimization algorithm (BFO). The advantages of BA, GSO and BFO are inherited in the multi-objective coupling algorithm (MBGF), which is tested on ZDT and SCH benchmarks, the results are shown the MBGF is superior. Then the multi-objective coupling algorithm is applied in the multi-objective LEACH protocol, experimental results show that the multi-objective LEACH protocol can greatly reduce the energy consumption of the node and prolong the network life cycle.

• 전기학회논문지
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• 제58권2호
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• pp.342-348
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• 2009

This paper introduces a novel denoising algorithm for the partial-discharge(PD) signals from power apparatuses. The developed algorithm includes three kinds of specific denoising sub-algorithms. The first sub-algorithm uses the fuzzy logic which classifies the noise types in the magnitude versus phase PD pattern. This sub-algorithm is especially effective in the rejection of the noise with high and constant magnitude. The second one is the method simply removing the pulses in the phase sections below the threshold count in the count versus phase pattern. This method is effective in removing the occasional high level noise pulses. The last denoising sub-algorithm uses the grouping characteristics of PD pulses in the 3D plot of the magnitude versus phase versus cycle. This special technique can remove the periodical noise pulses with varying magnitudes, which are very difficult to be removed by other denoising methods. Each of the sub-algorithm has different characteristic and shows different quality of the noise rejection. On that account, a parameter which numerically expresses the noise possessing degree of signal, is defined and evaluated. Using the parameter and above three sub-algorithms, an adaptive complex noise rejection algorithm for the on-line PD diagnosis system is developed. Proposed algorithm shows good performances in the various real PD signals measured from the power apparatuses in the Korean plants.

• 산경연구논집
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• 제13권12호
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• pp.59-71
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• 2022

Purpose: Re-handling is an important factor that reduces the productivity of container terminals. The purpose of this paper is to propose an algorithm to find the order of container movement in order to minimize the number of re-handling in the process of carrying-out. Research design, data and methodology: This paper proposes an algorithm to set the optimal carry-out order and conducted tests to evaluate the performance of the algorithm proposed in this paper. 1. tests comparing the performance of an algorithm proposed in an existing study with that proposed in this paper. 2. Performance tests for bays with complex structures. Results: Test 1 shows that the algorithm proposed in this paper performs better than the existing algorithm. Test 2 shows that the proposed algorithm can also be used in bays with considerably high complexity and that there is no major problem with using it in the field. Conclusion: While we can conclude that the proposed algorithm as a carry-out algorithm is more effective than conventional methods, research is needed on how to handle more complex bays more effectively. This is because the larger the bay, the more container combinations increase, making it difficult to find the best carry-out order.

• 인터넷정보학회논문지
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• 제17권5호
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• pp.1-8
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• 2016

본 논문에서는 복잡계 네트워크 이론에 기반한 무선 네트워크 토폴로지를 구성하고, 실제 환경의 토폴로지 구성을 반영한 척도없는 네트워크의 노드 링크 분포 확률을 분석하여 실제 무선 네트워크를 위한 브로드캐스트 전송 스케줄링 알고리즘 기법을 제안한다. 본 논문에서는 기존의 브로드캐스트 스케줄링 알고리즘 기법들이 반영하지 못한 복잡계 네트워크의 특성을 분석하고 그 특성에 맞는 알고리즘 기법과 분석 기법에 대하여 제안한다. 실험 결과를 통해 제안하는 방식의 알고리즘법이 네트워크의 지연시간 감소와 전송효율에 있어서의 우수함을 밝히고, 복잡계 네트워크 기반 무선 네트워크의 전송효율과 전체지연시간에 대한 최적화 방식의 기법을 제안한다.

• 한국정보전자통신기술학회논문지
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• 제3권3호
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• pp.45-50
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• 2010

본 논문에서는 운동 중 실시간 구현을 위해 정확한 QRS 검출이 가능한 이산 웨이블릿 연산을 임펄스 응답으로 근사화 하여 연산량을 줄였다. 또한, 지속적인 QRS 검출로부터 부정맥, 빈맥 그리고 서맥등의 정보를 제공한다. 제안 알고리듬은 운동 중 수집된 생체신호를 컴퓨터 시뮬레이션을 통해 평가한다.

• Journal of information and communication convergence engineering
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• 제14권2호
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• pp.78-83
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• 2016

In underwater acoustic communication, the transmitted signals are severely influenced by the reflections from both the sea surface and the sea bottom. As very large reflection signals from these boundaries cause an inter-symbol interference (ISI) effect, the communication quality worsens. A channel estimation-based equalizer is usually adopted to compensate for the reflected signals under the acoustic communication channel. In this study, a feed-forward equalizer (FFE) with the least mean squares (LMS) algorithm was applied to a quadrature phase-shift keying (QPSK) transmission system. Two different types of equalizers were adopted in the QPSK system, namely a real-coefficient equalizer and a complex-coefficient equalizer. The performance of the complex-coefficient equalizer was better than that of two real-coefficient equalizers. Therefore, a Hilbert transform was applied to the real-coefficient binary phase-shift keying (BPSK) system to obtain a complex-coefficient BPSK system. Consequently, we obtained better results than those of a real-coefficient equalizer.

• Journal of Electrical Engineering and Technology
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• 제12권4호
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• pp.1600-1604
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• 2017

A new Complex Image Method based on Genetic Algorithm (GA) is proposed to calculate the Green's functions of CPW (coplanar waveguide)-type microwave components and antennas. The closed-forms of the spectral-domain integrals are obtained by the GA, avoiding the conventional procedures of the tedious linear algebra and the sampling conditions sensitive to the complex-variable sampling paths adopted in the Prony's and GPOF methods. The proposed method is compared with the numerical Sommerfeld Integral, which results in good agreement.

• Journal of Electrical Engineering and Technology
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• 제8권3호
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• pp.464-471
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• 2013

This paper proposes a hybrid searching algorithm based on parameter identification for power system load models. Hybrid searching was performed by the combination of particle swarm optimization (PSO) and a complex method, which enhances the convergence of solutions closer to minima and takes advantage of global searching with PSO. In this paper, the load model of interest is composed of a ZIP model and a third-order model for induction motors for stability analysis, and parameter sets are obtained that best-fit the output measurement data using the hybrid search. The origin of the hybrid method is to further apply the complex method as a local search for finding better solutions using the selected particles from the performed PSO procedure.