• Journal of the Korean Institute of Electrical and Electronic Material Engineers
• /
• v.21 no.6
• /
• pp.562-568
• /
• 2008

In this paper, the hole injection layer(HIL) materials have been synthesized and analyzed. Their HOMO levels are $4.93{\sim}5.22\;eV$, and their energy band gaps are $2.74{\sim}3.19\;eV$. Their glass transition temperatures($T_g$) are all above $114^{\circ}C$, which implies that they are highly thermal-stable. The green OLED devices with a structure of ITO(150 nm)/NEW_HIL(50 nm)/NPB(30 nm)/$Alq_3$(50 nm)/Al:Li(100 nm) were fabricated and tested, incorporating these newly synthesized HIL materials. According to the test results of OLED devices, the I-V-L performances of these devices increase in the following sequence: ELM307 > ELM200 > ELM321 > ELM327 > ELM325. In addition, the OLED device with ELM307 as a HIL has the highest brightness and efficiency at the same driving voltage. These experimental results have shown that ELM307 can be used as one of the most promising candidates for HIL materials.

• Journal of Information Processing Systems
• /
• v.10 no.3
• /
• pp.443-458
• /
• 2014

An extreme learning machine (ELM) is a recently proposed learning algorithm for a single-layer feed forward neural network. In this paper we studied the ensemble of ELM by using a bagging algorithm for facial expression recognition (FER). Facial expression analysis is widely used in the behavior interpretation of emotions, for cognitive science, and social interactions. This paper presents a method for FER based on the histogram of orientation gradient (HOG) features using an ELM ensemble. First, the HOG features were extracted from the face image by dividing it into a number of small cells. A bagging algorithm was then used to construct many different bags of training data and each of them was trained by using separate ELMs. To recognize the expression of the input face image, HOG features were fed to each trained ELM and the results were combined by using a majority voting scheme. The ELM ensemble using bagging improves the generalized capability of the network significantly. The two available datasets (JAFFE and CK+) of facial expressions were used to evaluate the performance of the proposed classification system. Even the performance of individual ELM was smaller and the ELM ensemble using a bagging algorithm improved the recognition performance significantly.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.24 no.8
• /
• pp.55-61
• /
• 2010

In this paper, we proposed selective extraction method of frequency information and PCA-ELM based diagnosis system for three-phase induction motors. As the first step for diagnosis procedure, DFT is performed to transform the acquired current signal into frequency domain. And then, frequency components are selected according to discriminate order calculated by variance As the next step, feature extraction is performed by principal component analysis (PCA). Finally, we used the classifier based on Extreme Learning Machine (ELM) with fast learning procedure. To show the effectiveness, the proposed diagnostic system has been intensively tested with the various data acquired under different electrical and mechanical faults with varying load.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.25 no.6
• /
• pp.621-628
• /
• 2015

This paper describes an algorithm for detecting vehicles detection in real time. The proposed algorithm has the technique based on computer vision and image processing. In real, complex environment such as one with road traffic, many algorithms have great difficulty such as low detection rate and increasing computational time due to complex backgrounds and rapid changes. To overcome this problem in this paper, the proposed algorithm consists of the following methods. First, to effectively separate the candidate regions, we use vertical and horizontal edge information, and shadow values from input image sequences. Second, we extracts features by using HOG from the selected candidate regions. Finally, this paper uses the OS fuzzy-ELM based on SLFN to classify the extracted features. The experimental results show that the proposed method perform well for detecting vehicles and improves the accuracy and the computational time of detecting.

• 한국정보디스플레이학회:학술대회논문집
• /
• 2007.08a
• /
• pp.687-690
• /
• 2007

OLED devices with a multilayer structure were fabricated using newly synthesized hole transport materials. We confirmed that ELM229 and ELM339, hole transport materials did not affect the electroluminescence color, and that by adopting this novel hole transport materials, OLEDs with a lower driving voltage but a higher efficiency were developed.

• Proceedings of the Membrane Society of Korea Conference
• /
• 2004.05a
• /
• pp.47-50
• /
• 2004

Since emulsion liquid membrane (ELM) was found by Li in the late 1960s$^{[1]}$ , a great amount of work has been conducted on the research and application of ELM$^{[2-8]}$ . Generally, during a process of ELM separation, three types of emulsions will be shown in turn. They are primary emulsion, multiple emulsion, namely ELM, and recovered emulsion respectively. Those three types of emulsions inevitably share some common properties, and at the same time, because those three types of emulsions emerge in different stages of ELM separation, some differences will be observed.(omitted)

• Textile Coloration and Finishing
• /
• v.15 no.3
• /
• pp.140-145
• /
• 2003

The purpose of this study is searching the Elm-Bark dyes' dyeability and antibacterial activities according to the dyeing time, pH, a mordant and the method of mordancy. We used two kinds of Elm-Bark dyes which's extracted by the Electrolytic reduction water and Distilled water. Silk fabric and Cotton/nylon union fabric was used for this study. The results are as follow. K/S value is increased according to the dyeing time and the suitable pH level is pH 3. Dyeability is good with Iron(II) sulfate$(FeSO_4\cdot{7H}_2O)$ on the pre-mordancy and Potassium dichromate$(K_2Cr_2O_7)$ on the post-mordancy. The Elm-Bark dyes by the Electrolytic reduction water has good colorfastness more than by the Distilled water. Antibacterial activities is excellent and the ratio is over than 99.5%.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2006.11a
• /
• pp.189-192
• /
• 2006

본 논문에서는 ELM(Extreme Learning Machine)을 이용하여 계산속도 뿐만 아니라 성능면에서도 우수한 입력 속성선택 기법을 제안한다. 일반적으로 입력 속성 선택문제는 다양한 속성들의 영향을 고려함으로써 모든 입력속성들을 평가하는데 많은 계산량이 요구되는 단점이 있다. 이러한 문제점을 개선하기 위하여 학습속도가 기존의 신경회로망에 비하여 월등히 우수한 ELM 알고리즘을 적용한다. 입력속성 선택은 ELM으로부터 산출된 출력값을 이용하여 출력 오차에 영향이 큰 속성들 순으로 순위를 결정한 후, 전방향 선택이나 후방향 선택기법을 이용하여 입력속성을 선택한다. 제안된 방법은 다양한 데이터에 적용하여 타당성을 검증한다.

• Steel and Composite Structures
• /
• v.31 no.5
• /
• pp.427-435
• /
• 2019

The estimation of moment and rotation in steel rack connections could be significantly helpful parameters for designers and constructors in the initial designing and construction phases. Accordingly, Extreme Learning Machine (ELM) has been optimized to estimate the moment and rotation in steel rack connection based on variable input characteristics as beam depth, column thickness, connector depth, moment and loading. The prediction and estimating of ELM has been juxtaposed with genetic programming (GP) and artificial neural networks (ANNs) methods. Test outcomes have indicated a surpass in accuracy predicting and the capability of generalization in ELM approach than GP or ANN. Therefore, the application of ELM has been basically promised as an alternative way to estimate the moment and rotation of steel rack connection. Further particulars are presented in details in results and discussion.

• Korean Journal of Plant Resources
• /
• v.33 no.4
• /
• pp.279-286
• /
• 2020

Purple loosestrife-Lythrum anceps (Koehne) Makino is a herbaceous perennial plant belonging to the Lythraceae family. It has been used for centuries in Korea and other Asian traditional medicine. It has been showed pharmacological effects, including anti-oxidant and anti-microbial effects. However, the mechanisms underlying its anti-cancer effect are not yet understood. In this study, we investigated the mechanism of apoptosis signaling pathways by ethanol extract of Lythrum anceps (Koehne) Makino (ELM) in human leukemia U937 cells. Treatment with ELM significantly inhibited cell growth in a dose-dependent manner by inducing apoptosis, as evidenced by the formation of apoptotic bodies (ApoBDs), DNA fragmentation and increased populations of sub-G1 ratio. Induction of apoptosis by ELM was connected with up-regulation of death receptor (DR) 4 and DR5, pro-apoptotic Bax protein expression and down-regulation of anti-apoptotic Bcl-2 protein, and inhibitor of apoptosis protein (IAP) family proteins, depending on dosage. This induction was associated with Bid truncation, mitochondrial dysfunction, proteolytic activation of caspases (-3, -8 and -9) and cleavage of poly(ADP-ribose) polymerase protein. Therefore, our data indicate that ELM suppresses U937 cell growth by activating the intrinsic and extrinsic apoptosis pathways, and thus may have applications as a potential source for an anti-leukemic chemotherapeutic agent.