• 전자공학회논문지B
• /
• 제31B권8호
• /
• pp.211-218
• /
• 1994

In this paper we develope a hybrid learning rule to improve the robustness of multi-layer Perceptions. In most neural networks the activation of a neuron is deternined by a nonlinear transformation of the weighted sum of inputs to the neurons. Investigating the behaviour of activations of hidden layer neurons a new learning algorithm is developed for improved robustness for multi-layer Perceptrons. Unlike other methods which reduce the network complexity by putting restrictions on synaptic weights our method based on error-backpropagation increases the complexity of the underlying proplem by imposing it saturation requirement on hidden layer neurons. We also found that the additional gradient-descent term for the requirement corresponds to the Hebbian rule and our algorithm incorporates the Hebbian learning rule into the error back-propagation rule. Computer simulation demonstrates fast learning convergence as well as improved robustness for classification and hetero-association of patterns.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
• /
• pp.155-157
• /
• 2005

We propose a new category of hybrid multi-layer neural networks with hetero nodes such as Fuzzy Set based Polynomial Neurons (FSPNs) and Polynomial Neurons (PNs). These networks are based on a genetically optimized multi-layer perceptron. We develop a comprehensive design methodology involving mechanisms of genetic optimization and genetic algorithms, in particular. The augmented genetically optimized HFPNN (namely gHFPNN) results in a structurally optimized structure and comes with a higher level of flexibility in comparison to the one we encounter in the conventional HFPNN. The GA-based design procedure being applied at each layer of HFPNN leads to the selection of preferred nodes (FPNs or PNs) available within the HFPNN. In the sequel, two general optimization mechanisms are explored. First, the structural optimization is realized via GAs whereas the ensuing detailed parametric optimization is carried out in the setting of a standard least square method-based learning. The performance of the gHFPNNs quantified through experimentation where we use a number of modeling benchmarks-synthetic and experimental data already experimented with in fuzzy or neurofuzzy modeling.

• 한국진공학회지
• /
• 제6권3호
• /
• pp.181-186
• /
• 1997

TiC(001) 면위에 Mg금속을 증착시킨 후 상온에서 산소를 노출시키는 방법으로 hetero-epitaxial MgO막을 성장시켰으며, 성장된 MgO epitaxial막의 구조를 비행시간형 직 충돌 이온산란분광법을 사용하여 해석하였다. MgO막은 산화 직후 무질서한 배열을 갖으나, 약 $300^{\circ}C$의 가열에 의해서 1$\times$1구조로 전환된다. TiC(001) 위에 성장된 MgO막은 다음과 같은 구조를 갖고 있음이 밝혀졌다. Mg 및 O원자는 TiC의 on-top site에 위치하고, 면내방 향의 격자상수는 TiC의 격자상수와 일치하며, MgO막의 대부분은 2층 이내의 원자층으로 구성되어 있다.

• 반도체디스플레이기술학회지
• /
• 제10권1호
• /
• pp.27-32
• /
• 2011

In this study, we have investigated the power conversion efficiency of organic solar cells utilizing conjugated polymer/fullerene bulk-hetero junction(BHJ) device structures. We have fabricated poly(3-hexylthiophene)(P3HT), poly[2methoxy-5-(3',7'-dimethyloctyl-oxy)-1-4-phenylenevinylene] as an electron donor, [6,6]-phenyl $C_{61}$ butyric acid methylester(PCBM-$C_{61}$)as an electron acceptor, and poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate)(PEDOT:PSS) used as a hole injection layer(HIL), after fabricated active layer, between active layer and metal cathode(Al) deposited LiF interlayer(5 nm). The properties of fabricated organic solar cell(OSC) devices have been analyzed as a function of different thickness. The electrical characteristics of the fabricated devices were investigated by means J-V, fill factor(FF) and power conversion efficiency(PCE). We observed the highest PCEs of 0.628%(MDMO-PPV:PCBM-$C_{61}$) and 2.3%(P3HT:PCBM-$C_{61}$) with LiF inter-layer at the highest thick active layer, which is 1.3times better than the device without LiF inter-layer.

• 반도체디스플레이기술학회지
• /
• 제13권2호
• /
• pp.1-5
• /
• 2014

Transparent and conducting aluminum-doped ZnO electrodes were fabricated by atomic layer deposition methods. The electrode showed the lowest resistivity of $5.73{\times}10^{-4}{\Omega}cm$ at a 2.5% cyclic layer deposition ratio of Trimethyl-aluminum and Diethyl-zinc chemicals. The electrodes showed minimum resistivity when deposited at a temperature of $225^{\circ}C$. The electrode also showed optical transmittance of about 92% at 300 nm. An organic solar cell made with a 300-nm-thick aluminum-doped ZnO electrode exhibited 2.0% power conversion efficiency.

• Transactions on Electrical and Electronic Materials
• /
• 제6권5호
• /
• pp.229-232
• /
• 2005

Direct characterization of band alignment at chemical bath deposition $(CBD)-CdS/Cu_{0.93}(In_{1-x}Ga_x)Se_2$ has been carried out by photoemission spectroscopy (PES) and inverse photoemission spectroscopy (IPES). Ar ion beam etching at the condition of the low ion kinetic energy of 400 eV yields a removal of surface contamination as well as successful development of intrinsic feature of each layer and the interfaces. Especially interior regions of the wide gap CIGS layers with a band gap of $1.4\~1.6\;eV$ were successfully exposed. IPES spectra revealed that conduction band offset (CBO) at the interface region over the wide gap CIGS of x = 0.60 and 0.75 was negative, where the conduction band minimum of CdS was lower than that of CIGS. It was also observed that an energy spacing between conduction band minimum (CBM) of CdS layer and valance band maximum (VBM) of $Cu_{0.93}(In_{0.25}Ga_{0.75})Se_2$ layer at interface region was no wider than that of the interface over the $Cu_{0.93}(In_{0.60}Ga_{0.40})Se_2$ layer.

• 신재생에너지
• /
• 제4권2호
• /
• pp.68-73
• /
• 2008

It is very important that constitution of good hetero-junction interface with a high quality amorphous silicon thin films on very cleaned c-Si wafer for making high efficiency hetero-junction solar cells. For achieving the high efficiency solar cells, the inspection and management of c-Si wafer surface conditions are essential subjects. In this experiment, we analyzed the c-Si wafer surface very sensitively using Spectroscopic Ellipsometer for < ${\varepsilon}2$ > and u-PCD for effective carrier life time, so we accomplished < ${\varepsilon}2$ > value 43.02 at 4.25eV by optimizing the cleaning process which is representative of c-Si wafer surface conditions very well. We carried out that the deposition of high quality hydrogenated silicon amorphous thin films by RF-PECVD systems having high density and low crystallinity which are results of effective medium approximation modeling and fitting using spectroscopic ellipsometer. We reached the cell efficiency 12.67% and 14.30% on flat and textured CZ c-Si wafer each under AM1.5G irradiation, adopting the optimized cleaning and deposition conditions that we made. As a result, we confirmed that spectroscopic ellipsometry is very useful analyzing methode for hetero-junction solar cells which need to very thin and high quality multi layer structure.

• 한국진공학회지
• /
• 제22권4호
• /
• pp.211-217
• /
• 2013

$PCDTBT:PC_{71}BM$과 $PTB7:PC_{71}BM$을 유기고분자 활성층 재료로 이용한 Bulk Hetero-Junction (BHJ) 구조의 유기박막태양전지를 플라스틱 기판 위에 각각 제작하여, 시간변화에 따른 단락전류밀도($J_{SC}$), 개방전압($V_{OC}$), 곡선인자(FF) 및 전력변환효율(PCE) 등 출력특성의 변화에 대해 고찰하였다. 유기박막태양전지의 출력특성 파라메터는 시간 경과에 따라 모두 감소하는 경향을 나타내었으며, 특히 개방전압의 감소폭이 컸다. 이러한 개방전압 감소의 원인은 빛에 대한 장시간의 노출과 산소를 포함하는 수분과의 접촉에 의한 LUMO 준위와 HOMO 준위 차의 감소가 그 원인이라 생각되며, 그 메커니즘에 대해 고찰하였다. 또한 유기박막태양전지 소자의 직렬 및 병렬 저항 값은 감소하다가 다시 증가하는 경향을 보였다. 이는 LUMO 준위와 HOMO 준위 차가 감소함에 의한 것과 공액 고분자 활성층 내부에서의 열적과정 손실에 기인하여 전극과 고분자의 계면에서의 접촉저항의 증가 때문이라고 생각된다. 유기박막태양전지의 전력변환효율은 초기에 급격한 감소를 보이다가 시간이 지날수록 감소폭이 차츰 둔화되어 한계치에 도달한 후, 포화되는 경향을 보였다. 이것이 유기박막태양전지가 실제 구동에서 발생시킬 수 있는 최소 출력특성값인 것으로 판단된다.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2005년도 추계학술대회 학술발표 논문집 제15권 제2호
• /
• pp.483-487
• /
• 2005

We introduce a new architecture of hetero-hybridized feed-forward neural networks composed of fuzzy set-based polynomial neural networks (FSPNN) and polynomial neural networks (PM) that are based on a genetically optimized multi-layer perceptron and develop their comprehensive design methodology involving mechanisms of genetic optimization and Information Granulation. The construction of Information Granulation based HFSPNN (IG-HFSPNN) exploits fundamental technologies of Computational Intelligence(Cl), namely fuzzy sets, neural networks, and genetic algorithms(GAs) and Information Granulation. The architecture of the resulting genetically optimized Information Granulation based HFSPNN (namely IG-gHFSPNN) results from a synergistic usage of the hybrid system generated by combining new fuzzy set based polynomial neurons (FPNs)-based Fuzzy Neural Networks(PM) with polynomial neurons (PNs)-based Polynomial Neural Networks(PM). The design of the conventional genetically optimized HFPNN exploits the extended Group Method of Data Handling(GMDH) with some essential parameters of the network being tuned by using Genetie Algorithms throughout the overall development process. However, the new proposed IG-HFSPNN adopts a new method called as Information Granulation to deal with Information Granules which are included in the real system, and a new type of fuzzy polynomial neuron called as fuzzy set based polynomial neuron. The performance of the IG-gHFPNN is quantified through experimentation.

• 조명전기설비학회논문지
• /
• 제26권11호
• /
• pp.104-108
• /
• 2012

Flexible organic thin film solar cell device with Bulk Hetero-Junction (BHJ) structure was fabricated with blended conjugated polymer of PCDTBT : $PC_{71}BM$ as active layer. Surface of ITO anode for the organic solar cell device was treated with ozone. The organic solar cell device with bare ITO showed short circuit current density ($J_{sc}$) of $8.2mA/cm^2$, open-circuit voltage ($V_{oc}$) of 0.73V, fill factor (FF) of 0.36, and power conversion efficiency (PCE) of 2.16%, respectively. The organic solar cell device with ozone treated ITO anode revealed distinctively improved performance parameters:$J_{sc}$ of $9.8mA/cm^2$, $V_{oc}$ of 0.82V, FF of 0.43, PCE(${\eta}$) of 3.42%.