• Nuclear Engineering and Technology
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• 제55권9호
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• pp.3359-3366
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• 2023

In this study, a spiking cortical model (SCM) based n-g discrimination method is proposed. The SCM-based algorithm is compared with three other methods, namely: (i) the pulse-coupled neural network (PCNN), (ii) the charge comparison, and (iii) the zero-crossing. The objective evaluation criteria used for the comparison are the FoM-value and the time consumption of discrimination. Experimental results demonstrated that our proposed method outperforms the other methods significantly with the highest FoM-value. Specifically, the proposed method exhibits a 34.81% improvement compared with the PCNN, a 50.29% improvement compared with the charge comparison, and a 110.02% improvement compared with the zero-crossing. Additionally, the proposed method features the second-fastest discrimination time, where it is 75.67% faster than the PCNN, 70.65% faster than the charge comparison and 38.4% slower than the zero-crossing. Our study also discusses the role and change pattern of each parameter of the SCM to guide the selection process. It concludes that the SCM's outstanding ability to recognize the dynamic information in the pulse signal, improved accuracy when compared to the PCNN, and better computational complexity enables the SCM to exhibit excellent n-γ discrimination performance while consuming less time.

• 한국수산과학회지
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• 제30권4호
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• pp.589-594
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• 1997

횟감으로 많이 생식되고 있는 넙치육의 사후조기의 물리화학적 변화를 억제시켜서 신선도의 유지기간을 연장시킬 목적으로, 마취사 및 무방혈이 사후조기의 넙치육의 물리화학적 변화에 미치는 영향에 대하여 실험한 결과를 요약하면 다음과 같다. 1. 사후 넙치육의 경직개시 시간 및 완전경직 도달시간은 마취사${\cdot}$무방혈이 즉살${\cdot}$방혈보다 늦었으며, 최고 경직도도 마취사${\cdot}$무방혈이 낮은 값을 나타내었다. 2. ATP 분해도 마취사${\cdot}$무방혈이 즉살${\cdot}$방혈 보다 억제되었다. 즉, 즉살${\cdot}$방혈에서는 저장기간 동안에 꾸준히 감소하여 35시간 후에 완전히 분해되었지만, 마취사${\cdot}$무방혈에서는 저장 22.5시간까지 분해가 억제되다가, 그 후로 급속히 분해되었다. 3. 육의 파괴강도는 즉살${\cdot}$방혈에서 저장 10시간 후에 최대값을 나타내고 그후로 급속히 저하하였으며, 마취사${\cdot}$무방혈에서는 저장 13시간 후에 최고값에 도달한 후에 20시간까지 거의 일정하게 유지되다가 그후로 급속히 저하하였다. 4. 유산의 축적은 즉살${\cdot}$방혈에서는 저장기간을 통하여 꾸준히 증가하여 저장 20시간 후에는 최고값에 도달하였으며, 마취사${\cdot}$무방혈에서는 저장 15시간까지 유산의 생성이 억제되다가, 그후로 급격히 증가하여 저장 25시간 후에 최고값에 도달하였다.

• 월간양계
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• 제31권5호통권355호
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• pp.83-85
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• 1999

• 월간 닭고기
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• 제15권12호
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• pp.113-117
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• 2009

• Clinics in Shoulder and Elbow
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• 제5권2호
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• pp.63-68
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• 2002

Volleyball has become one of the world's most popular participatory sports in recent years. There are many dynamic skills and movements needed to play the game. As a result, many acute and overuse injuries to the shoulder may occur. This article addresses the common injuries and rehabilitation recommendations for the shoulder injuries in the volleyball players. The glenohumeral instability, primary or secondary impingement, internal impingement, labral injuries, and suprascapular nerve lesions are common problems in volleyball players. A basic knowledge of the biomechanics and volleyball maneuvers (blocking, serving, and spiking) can help in the development of appropriate trainging and reha- bilitation protocols. Special emphasis must be placed on the knowledge of muscular patterns involved in serving and spiking, because they typically require a strenuous unilateral action of the dominant shoulder. It is therefore impera- tive to include adequate stretching and muscular training programme for the prevention, as well as for therapy, of shoulder pain in volleyball players.

• 전자공학회논문지A
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• 제31A권12호
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• pp.115-121
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• 1994

Aluminum films were chemically vapor deposited for the metallization of the integrated circuits and the spiking characteristics of the direct CVD Al/Si contacts were investigated. When the aluminum was formed by CVD uniform consumption of the substrate silicon was observed, which is quite different from the phenomena observed in sprttered Al. Silicon consumption occured during the deposition of CVD Al and the erosion depth of the silicon was several hundred $\AA$ when the continuous films were formed on the substrate while much less erosion of the silicon occured when the Al were formed in islands. When the submicron contacts were selectively plugged, contact resistances were very low and the erosion depth of the silicon was trivial.

• 센서학회지
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• 제31권1호
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• pp.16-23
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• 2022

Cardiac disease is the most common cause of death worldwide. Therefore, detection and classification of electrocardiogram (ECG) signals are crucial to extend life expectancy. In this study, we aimed to implement an artificial intelligence signal recognition system in field programmable gate array (FPGA), which can recognize patterns of bio-signals such as ECG in edge devices that require batteries. Despite the increment in classification accuracy, deep learning models require exorbitant computational resources and power, which makes the mapping of deep neural networks slow and implementation on wearable devices challenging. To overcome these limitations, spiking neural networks (SNNs) have been applied. SNNs are biologically inspired, event-driven neural networks that compute and transfer information using discrete spikes, which require fewer operations and less complex hardware resources. Thus, they are more energy-efficient compared to other artificial neural networks algorithms.

• 한국전기전자재료학회논문지
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• 제11권10호
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• pp.826-832
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• 1998

In this study the thin films with the structure of Si+SiO$_2$+TiN are made by RF supttering method. TiN, which has small diffusion coefficient and low resistivity, is evaporated between SiO$_2$ and Al layers. It investigates the V-R characteristics depending on the thickness of SiO$_2$ which is used as insulation layer and researches its effects on voltage stability of thin film and varistor. These films show very small resistance valus in negative(-) voltage and large and large value in positive voltage band, and with the increase of voltage, resistance value is rapidly reduced and the satisfactory characteristic of varistor is shown at +1[V]. It is found that resistance value of TiN thin film is small and also TiN thin film has more current than the thin film which is not evaporated by TiN thin film. When Al electrode is evaporated of SiO$_2$ thin film, spiking occurs, but the spiking can be prevented with evaporation of TiN between SiO$_2$ and Al layers and this thin films in made easily because of its good attachment. With the increase of voltage, the resistance is changed into non-linear pattern and the bidirectional varistor characteristic is shown and then its theory can be verified by this experiment. Accordingly, when TiN is evaporated of Si Wafer(n-100), it obtains better voltage-resistance than thin film which is not evaporated and also when varistor character is used electrically to automatic control element such as elimination of flame, power distribution arrestor and constant voltage compensation, satisfactory reproducibilities are expected.

• 스마트미디어저널
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• 제12권4호
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• pp.19-26
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• 2023

뉴로모픽 아키텍처 기반 하드웨어를 이용한 IoT 엣지 서비스는 단말 장치에서 지능형 처리를 수행할 수 있기 때문에 자율형 IoT 응용 지원에 적합하다. 그러나 IoT 개발자가 뉴로모픽 하드웨어에서 사용되는 SNN을 이해하기에는 어려움이 있다. 본 논문에서는 뉴로모픽 하드웨어의 제약조건을 고려하며 사용자의 요구 성능을 만족하는 SNN 모델 생성 기법을 제안한다. 제안 기법은 프로파일링된 데이터에서 최적의 SNN 모델 파라미터를 찾도록 전처리된 데이터로 사전 학습한 모델을 활용한다. 전체 탐색 기법과 비교 결과, 두 기법 모두 사용자 요구사항을 모두 만족하였지만, 제안 기법이 수행 시간 측면에서 더 좋은 성능을 보였다. 또한, 신규 하드웨어의 제약조건을 명확히 알지 못하더라도 새로운 하드웨어의 프로파일링된 데이터를 활용할 수 있으므로 높은 확장성을 제공할 수 있다.

• 스마트미디어저널
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• 제11권2호
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• pp.70-76
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• 2022

클라우드 서버를 이용한 IoT 응용 개발은 네트워크로 연결된 하드웨어에 데이터 송수신 지연, 네트워크 트래픽, 실시간 처리 지원을 위한 비용 등의 문제가 발생한다. 엣지 클라우드 기반 플랫폼에서는 이러한 문제를 해결하기 위해 빠른 데이터 전달이 가능하도록 뉴로모픽 하드웨어를 사용할 수 있다. 본 논문에서는 FPGA상에서 스파이킹 뉴럴 네트워크를 위한 모델 최적화 기법을 제안한다. 뉴로모픽 하드웨어에 최적화된 네트워크 모델 파라미터를 자동 조정하는 것에 초점을 맞추었다. 정확도에 대한 사용자 요구사항을 기반으로 더 높은 성능을 보이도록 최적화를 수행한다. 성능 분석 결과, 기존의 오픈 프레임워크에서 지원하는 고정 기법과 달리 사용자의 요구사항을 모두 만족하였으며 수행시간 측면에서 더 높은 성능을 보였다.