• 반도체디스플레이기술학회지
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• 제23권1호
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• pp.1-6
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• 2024

Recently, artificial neural networks have been playing a crucial role and advancing across various fields. Artificial neural networks are typically categorized into feedforward neural networks and recurrent neural networks. However, feedforward neural networks are primarily used for processing static spatial patterns such as image recognition and object detection. They are not suitable for handling temporal signals. Recurrent neural networks, on the other hand, face the challenges of complex training procedures and requiring significant computational power. In this paper, we propose memristors suitable for an advanced form of recurrent neural networks called reservoir computing systems, utilizing a mask processor. Using the characteristic equations of Ti/TiOx/TaOy/Pt, Pt/TiOx/Pt, and Ag/ZnO-NW/Pt memristors, we generated current-voltage curves to verify their memristive behavior through the confirmation of hysteresis. Subsequently, we trained and inferred reservoir computing systems using these memristors with the NIST TI-46 database. Among these systems, the accuracy of the reservoir computing system based on Ti/TiOx/TaOy/Pt memristors reached 99%, confirming the Ti/TiOx/TaOy/Pt memristor structure's suitability for inferring speech recognition tasks.

• Nuclear Engineering and Technology
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• 제56권7호
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• pp.2641-2649
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• 2024

Effective management of slightly used nuclear fuel (SUNF) is crucial for both technical and public acceptance reasons. SUNF management, radiotoxicity risk, and associated financial investment and technological capabilities are major concerns in nuclear power production. Reducing the volume of SUNF can simplify its management, and one possible solution is utilizing small modular reactors (SMR) and advanced fuel designs like those with thorium. This research focuses on studying the neutronic performance and radionuclide inventory of three different thorium fuel configurations. The mass of fissile material in thorium-based fuel significantly impacts Kinf, burn-up, and neutron energy spectrum. Compared to uranium, thorium as a fuel produces far fewer transuranic elements and less long-lived fission products (LLFPs) at the end of the core cycle (EOC). However, certain fission product elements produced from thorium-based fuel exhibit higher radioactivity at the beginning of the core cycle (BOC). Physical separation of thorium and uranium in the fuel block, like seed-and-blanket units (SBU) and duplex fuel designs, generate less radioactive waste with lower radioactivity and longer cycle lengths than homogeneous or mixed thorium-uranium fuel. Furthermore, the SBU and duplex feel designs exhibit comparable neutron spectra, leading to negligible differences in SUNF production between the two.

• 방사성폐기물학회지
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• 제22권2호
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• pp.219-226
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• 2024

Democratic People's Republic of Korea (DPRK) has produced weapon-grade plutonium in a graphite-moderated experimental reactor at the Yongbyon nuclear facilities. The amount of plutonium produced can be estimated using the Graphite Isotope Ratio Method (GIRM), even without considering specific operational histories. However, the result depends to some degree on the operational cycle length. Moreover, an optimal cycle length can maximize the number of nuclear weapons made from the plutonium produced. For conservatism, it should be assumed that the target reactor was operated with an optimal cycle length. This study investigated the optimal cycle length using which the Calder Hall MAGNOX reactor can achieve the maximum annual production of nuclear weapons. The results show that lower enrichment fuel produced a greater number of critical plutonium spheres with a shorter optimal cycle length. Specifically, depleted uranium (0.69wt%) produced 5.561 critical plutonium spheres annually with optimal cycle lengths of 251 effective full power days. This research is crucial for understanding DPRK's potential for nuclear weapon production and highlights the importance of reactor operational strategy in maximizing the production of weapons-grade plutonium in MAGNOX reactors.

• Nuclear Engineering and Technology
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• 제56권8호
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• pp.3236-3241
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• 2024

Ion cyclotron resonance heating (ICRH) is an important auxiliary heating method applied to the China Fusion Engineering Test Reactor, which can effectively heat the ions and electrons in plasma. Owing to the harsh nuclear environment, neutronic analyses are required to verify tritium self-sufficiency and neutron-shielding requirements. In this study, a neutronics analysis of the ICRH antenna was conducted using the COre and System integrated engine for Reactor Monte Carlo (cosRMC) code to estimate the neutron flux, radiation damage, nuclear heating, gas generation rate of key components, and tritium breeding ratio (TBR), providing data support for the subsequent optimization of the shielding design. In addition, the neutron flux of the coils around the antenna was calculated to prevent the entry of neutrons that damage the magnetic field coils through the gaps between the port plugs and antenna, and the shielding effects of the port-plug antenna on the surrounding components were analyzed. Finally, the results obtained using the cosRMC and MCNP codes were compared, which and presented good agreement, thus verifying the reliability of the neutronic analysis using the cosRMC code.

• 융복합기술연구소 논문집
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• 제13권1호
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• pp.19-22
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• 2023

The rise of electrification and the advancement of autonomous driving technologies are leading to new forms of mobility, such as serving and delivery robots. However, due to factors such as the small-scale production of various products and the high cost of autonomous driving sensors, product prices have risen, limiting accessibility to consumers. To improve this, we developed a multi-purpose mobility platform that is mass-producible, based on inexpensive, reliable sensors and a configurable human tracking system. As a result, the unit price is approximately 50% of the launch prices of other mobility products, and additional cost savings are possible through component optimization in the future. In addition, more added value will be created through the distribution of integrated mobility platforms that can be combined with various usable modules to meet a variety of user needs, such as cargo transportation, wheelchair power kits, and mobile monitors.

• Nuclear Engineering and Technology
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• 제56권10호
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• pp.4169-4175
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• 2024

Traditional physical methods for measuring solubility were often affected by viscosity, density, and surface tension. In this study, we selected appropriate electrolytes to determine the solubility of impurities in the lead-bismuth circuit at reactor operating temperatures using electrochemical methods. Taking the measurement of the solubility of impurity Ce in liquid Bi as an example, we demonstrated that electrochemical methods can accurately determine its solubility in the LiCl-KCl molten salt. Furthermore, the successful measurement of other impurities such as La, Ce, U, and Mn in lead-bismuth eutectic (LBE) using the designed system has confirmed the universality of this method.

• 한국식품저장유통학회지
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• 제24권5호
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• pp.623-630
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• 2017

본 실험은 댕댕이의 마이크로웨이브 추출장치를 활용한 플라보노이드, 안토시아닌, 폴리페놀, 항산화능 등을 반응표면분석법을 통하여 최적추출조건의 예측과 추출조건에 따른 추출물의 기능성 성분 함량을 모니터링 하였다. 중심합성계획법을 통해 추출공정에 중요한 독립변수인 용액농도($X_1$: 0, 25, 50, 75, 100%), 추출시간($X_2$: 1, 4, 7, 10, 13 min), microwave power($X_3$: 180, 210, 240, 270, 300 W)를 각각 독립변수로 설정하였고, 총 플라보노이드 함량($Y_1$), 총 안토시아닌 함량($Y_2$), 총 폴리페놀 함량($Y_3$) 그리고 DPPH 라디칼 소거능($Y_4$) 등을 종속변수로 하여 회귀분석을 실시하였다. 예측된 최적조건 범위는 에탄올 농도 53-64%, 추출시간 7.4-7.9 min, microwave power 242-250 W로 나타났다. 플라보노이드 함량의 최대점은 에탄올의 농도 52.9%, 추출시간 7.5분, microwave power 244 W일 때 최대값은 65.74 mg RE/g으로 예측되었다. 안토시아닌 함량의 최대점은 에탄올의 농도 54.8%, 추출시간 7.4분, microwave power 248 W일 때 최대값은 0.45 mg CGE/g으로 예측되었다. 폴리페놀 함량의 최대점은 에탄올의 농도 56.9%, 추출시간 7.7분 및 microwave power 250 W 일 때 최대값은 14.71 mg GAE/g로 예측되었다. 항산화능의 최대점은 에탄올의 농도 64.10%, 추출시간 7.9분 및 microwave power 242 W일 때 최대값은 92.54%로 예측되었다. 예측값과 실험값의 차이가 거의 없는 것으로 보아 본 실험은 정확도가 높고 신뢰성이 높음을 확인할 수 있었다. 이와 같은 결과는 댕댕이 마이크로웨이브 추출방법에 있어서 최적의 추출조건에 대한 정보를 주는 것이며, 더 나아가 고농도 댕댕이 기능성 성분이 함유된 제품 개발에 기초정보를 제공하는 결과라 사료된다.

• 한국태양에너지학회 논문집
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• 제32권6호
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• pp.76-84
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• 2012

This study conducted experiments to measure air currents in an experimental building according to external conditions, types of induction ducts, and types of internal sockets by applying an external induction duct comprised of inducing openings and lines and induction units to the kitchen and bathroom vents at the rooftop of a super high-rise apartment building in order to help to improve the venting performance. The study also proposed the optimization of the external induction-style kitchen and bathroom vents capable of wind power generation. (1) As for air current distribution according to vent velocity changes, it increased the venting performance of the kitchen and bathroom by 1.0m/s at vent velocity of 2.0m/s or higher and allowed for wind power generation. (2)As for air current distribution according to external velocity changes, it increased the venting performance of the kitchen and bathroom by 1.2m/s at external velocity of 2.0m/s or higher and allowed for wind power generation. (3)As for air current distribution according to wind direction changes($0{\sim}180^{\circ}$), it was favorable for higher vent velocity when the angle between the external induction duct direction and prevailing wind direction was within ${\pm}30^{\circ}$. (4)As for air current distribution according to induction duct type, the[M1] type combining the inducing openings and lines with the induction units recorded the highest improvement effects in the kitchen and bathroom venting performance by increasing vent velocity by 46%. (5)As for air current distribution according to the changing types of internal sockets where the main ducts of the kitchen and bathroom are connected to the external induction ducts, the venturi tube type[Sv] increased vent velocity by 66% based on the smoothest external inflow.

• 전자공학회논문지
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• 제53권11호
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• pp.32-40
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• 2016

센서네트워크 센서노드의 위치정보는 기본적으로 센싱 데이터가 얻어진 위치를 알려주는 목적으로 사용되며 Context 기반 고차원 서비스를 제공하기 위한 가장 중요한 정보중 하나이다. 센서네트워크상에서 위치인식을 위해 다양한 방법들이 연구되고 제안되어 왔으며, 이러한 방법 중에 IEEE 802.15.4 센서네트워크의 물리 계층과 매체 접근 계층을 이용한 위치인식 방법에 관한 연구방법이 크게 대두되고 있다. IEEE 802.15.4 프로토콜은 장치간의 저가격, 저속의 무선 통신을 지향하기 때문에 구현에 있어서 고도화된 최적화가 중요한 요구사항이라 할 수 있다. 하지만 수신 신호의 세기를 가지고 센서 노드들의 위치를 계산하는 방법은 최적화 문제의 해를 구하기 위한 과정이기 때문에 많은 연산 량이 필요로 하게 되고, IEEE802.15.4를 지원하는 System-On-a-Chip (SoC)의 경우 8비트 마이크로 컨트롤러기반으로 설계되어 있다는 점을 고려하면, IEEE802.15.4 기반의 위치 인식 서비스를 위해서는 하드웨어에 기반을 둔 위치 인식 엔진의 필요성이 무엇보다 중요하다. 본 논문은 IEEE 802.15.4 물리계층에 기반을 둔 가중치 기반의 최대우도방법 위치인식기 하드웨어 구현에 관해 제안하고자 한다. 테스트 베드를 이용한 필드테스트 결과 제안하는 하드웨어 기반 가중치 방식의 위치 인식방법은 정확도에서 10% 정도의 개선과 함께 내장 마이크로 컨트롤러의 연산량 및 메모리 액세스를 30% 정도 감소시켜 시스템 전원소모를 줄일 수 있는 결과를 얻을 수 있었다.

• 한국건설순환자원학회논문집
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• 제4권3호
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• pp.227-234
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• 2016

국내 화력발전소의 추가 증설과 관련하여 발생 부산물의 신규 사용처 연구가 필요한 실정이다. 본 연구에서는 화력발전소에서 발생되는 플라이애시와 열병합발전소에서 발생되는 열병합애시, 배연탈황공정에서 발생되는 탈황석고 등 부산물로부터 아스팔트 포장용 채움재의 KS 규격을 만족하는 채움재를 제조하였다. 제조된 혼합 채움재와 기존 석회석 채움재의 특성을 비교하고, 각각의 채움재를 사용하여 아스팔트 혼합물을 제조하는 실내실험을 통해 특성을 비교하였다. 또한 혼합 채움재와 석회석 채움재를 사용하여 아스팔트 포장 현장실험을 실시하였다. 현장실험에 사용된 아스팔트 혼합물에 대해서 실내실험과 동일하게 동적안정도, 마샬안정도, 인장강도비, 포화도, 간극률, 흐름값을 평가하였다. 실내실험 및 현장시공시험 결과 기존 석회석 채움재를 사용한 경우보다 동적안정도 및 마샬안정도, 인장강도비에서 우수한 특성을 나타내었으며, 배합설계의 최적화를 통해 기존 석회석 채움재의 특성을 만족시키는 채움재 개발 가능성을 확인하였다.