• 전기화학회지
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• 제1권1호
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• pp.28-32
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• 1998

1M LiPF_6/EC:DME(1:1) 전해질 용액에서 시간-전위차법, 순환 전압-전류법, 시간-전류법 , 그리고 임피던스법을 이용하여 리튬 이온 전지의 충방전 용량을 조사하였고 초기 충전과정에서 용매 분해로 형성된 필름의 영향을 알아보았다. 충 방전 결과에 따르면, 1 M $LiPF_6/EC:DME$를 이용한 반쪽전지의 초기 비가역 용량은 상당히 크게 나타났다 이러한 비가역 용량은 대부분 용매 분해에 의한 것으로 해석되었으며, 용매 분해로 인하여 MPCF전극 표면에 필름이 형성되었다. 초기 충전과정에서 형성된 필름은 방전과정에서 산화되지 않았으며 2번째 충전부터 용매 분해는 더 이상 관찰되지 않았다. 또한 초기 충전과정에서 EC:DME용매속의 Li이 MPCF층 속으로 삽입될 때 용매와 함께 삽입됨을 알 수 있었다. 이러한 삽입이 진행될 때 MPCF표면의 입자들이 박리되고, 박리된 입자들과 용매 분해 생성물들이 서로 섞여 필름을 형성하므로써 필름의 저항은 크게 나타났다.

• East Asian mathematical journal
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• 제36권1호
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• pp.61-71
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• 2020

Up to the present day, the best solution we can get to the truncated moment problem (TMP) is probably the Flat Extension Theorem. It says that if the corresponding moment matrix of a moment sequence admits a rank-preserving positive extension, then the sequence has a representing measure. However, constructing a flat extension for most higher-order moment sequences cannot be executed easily because it requires to allow many parameters. Recently, the author has considered various decompositions of a moment matrix to find a solution to TMP instead of an extension. Using a new approach with the Hadamard product, the author would like to introduce more techniques related to moment matrix decompositions.

• 대한화학회지
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• 제9권2호
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• pp.81-87
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• 1965

醋酸풀퍼릴을 合成하여 여러가지 反應條件下에서 鹽素化시킨 結果 低溫反應에서 安定한 trans 四鹽化物(平均收率 25∼30%)을 生成하였고, 三鹽化物의 生成은 거의 없었다. 高溫反應에서는 反應生成物의 分解가 甚하였다. 鹽素化反應條件, 生成物의 分離方式 및 安定度, 立體化學構造에 對하여 各各 論及하였다.

• Kyungpook Mathematical Journal
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• 제57권3호
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• pp.457-471
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• 2017

A necessary and sufficient condition for the product AB of a selfadjoint operator A and a bounded selfadjoint operator B to be normal is given. Various properties of the factors of the unitary polar decompositions of A and B are obtained in the case when the product AB is normal. A block operator model for pairs (A, B) of selfadjoint operators such that B is bounded and AB is normal is established. The case when both operators A and B are bounded is discussed. In addition, the example due to Rehder is reexamined from this point of view.

• ETRI Journal
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• 제46권4호
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• pp.633-647
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• 2024

In e-commerce platforms, sentiment analysis on an enormous number of user reviews efficiently enhances user satisfaction. In this article, an automated product recommendation system is developed based on machine and deep-learning models. In the initial step, the text data are acquired from the Amazon Product Reviews dataset, which includes 60 000 customer reviews with 14 806 neutral reviews, 19 567 negative reviews, and 25 627 positive reviews. Further, the text data denoising is carried out using techniques such as stop word removal, stemming, segregation, lemmatization, and tokenization. Removing stop-words (duplicate and inconsistent text) and other denoising techniques improves the classification performance and decreases the training time of the model. Next, vectorization is accomplished utilizing the term frequency-inverse document frequency technique, which converts denoised text to numerical vectors for faster code execution. The obtained feature vectors are given to the modified convolutional neural network model for sentiment analysis on e-commerce platforms. The empirical result shows that the proposed model obtained a mean accuracy of 97.40% on the APR dataset.

• 한국CDE학회논문집
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• 제18권1호
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• pp.71-82
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• 2013

To modify product design easily, modern CAD systems adopt the feature-based model as their primary representation. On the other hand, the boundary representation (B-rep) model is used as their secondary representation. IGES and STEP AP203 edition 1 are the representative standard formats for the exchange of CAD files. Unfortunately, both of them only support the B-rep model. As a result, feature data are lost during the CAD file exchange based on these standards. Loss of feature data causes the difficulty of CAD model modification and prevents the transfer of design intent. To resolve this problem, a tool for recognizing design features from a B-rep model and then reconstructing a feature-based model with the recognized features should be developed. As the first part of this research, this paper presents a method for decomposing a B-rep model into simple volumes suitable for design feature recognition. The results of experiments with a prototype system are analyzed. From the analysis, future research issues are suggested.

• Bulletin of the Korean Chemical Society
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• 제27권10호
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• pp.1572-1576
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• 2006

A dimeric precursor, $[Cu(dmae)(OCOCH_3)(H_2O)]_2$ for the CVD of copper metal films, (dmaeH = N,N-dimethylaminoethanol) was synthesized by the reaction of copper(II) acetate monohydrate ($Cu(OCOCH_3)_2{\cdot}H_2O$) and dmaeH in toluene. The product was characterized by m.p. determination, elemental analysis and X-ray crystallography. Molecular structure of $[Cu(dmae)(OCOCH_3)(H_2O)]_2$ shows that a dimeric unit $[Cu(dmae)(OCOCH_3)(H_2O)]_2$ is linked to another through hydrogen bond and it undergoes facile decomposition at 300 C to deposit granular copper metal film under nitrogen atmosphere. The decomposition temperature, thermal behaviour, kinetic parameters, evolved gas pattern of the complex, morphology, and the composition of the film were also investigated.

• 한국세라믹학회지
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• 제29권12호
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• pp.942-948
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• 1992

Ultrafine iron oxide powder, {{{{ gamma }}-Fe2O3 and $\alpha$-Fe2O3, were prepared by the thermal decomposition of organometallic compounds. The formation process of powder includes the thermal decomposition and oxidation of the organometallic precursors, Fe(N2H3COO)2(N2H4)2 (A) and N2H5Fe(N2H3COO)3.H2O (B). The organometallic precursors, A and B, were synthesized by the reaction of ferrous ion with hydrazinocarboxylic acid, and characterized by quantitative analysis and infrared spectroscopy. The mechanistic study for the thermal decomposition was performed by DAT-TG. The iron oxide powder was obtained by the heat treatment of the precursors at 20$0^{\circ}C$ and $600^{\circ}C$ for half an hour in air. The phases of the resulting product were proved {{{{ gamma }}-Fe2O3 and $\alpha$-Fe2O3 respectively. The particle shape was equiaxial and the particle size was less than 0.1 ${\mu}{\textrm}{m}$. Magnetic properties of the {{{{ gamma }}-Fe2O3 powder obtained from A and B was 234 Oe of coercivity, 64.26 emu/g of saturation magnetization, 23.59 emu/g of remanent magnetization and 24.1 Oe, 47.27 emu/g, 3.118 emu/g respectively. The value of $\alpha$-Fe2O3 powder was 1.494 Oe, 0.4862 emu/g, 0.1832 emu/g and 1,276 Oe, 0.4854 emu/g, 0.1856 emu/g respectively.

• 분석과학
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• 제7권3호
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• pp.321-327
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• 1994

7, 7-dimethyl-1, 2, 3, 4, 5-pentaphenyl-7-silanorbornadiene을 과량의 methyl alcohol과 함께 저온 열분해반응을 시켰을 때 무색 침상 모양의 결정인 1-methoxydimethylsilyl-1, 2, 3, 4, 6-pentaphenylcyclohexa-2, 5-diene이 생성되었다. 그러나 7-silanorbornadiene을 ethyl alcohol과 함께 동시 광분해반응을 시켰을 때는 silylene이 생성되어 ethyl alcohol의 O-H 결합에 삽입 반응된 ethoxydimethylsilane이 생성되었다. 이와 같은 결과로 판단해 볼 때 7-silanorbornadiene의 저온 열분해반응과 광분해반응의 반응 메카니즘이 다르다는 사실을 알았다.

• 조명전기설비학회논문지
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• 제29권6호
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• pp.35-41
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• 2015

This paper presents a breakdown voltage and a process of breakdown progress in mineral oil under an quasi-uniform field with decomposition products which occur after the oil discharge. The breakdown voltage in the oil revealed the characteristics of dispersion regardless of an electrode gap. The cumulative probability distribution was used to analyze the dispersion of the breakdown voltage. In addition, the process of breakdown progress in the oil can be reasonably described by the electron breakdown theory based on both electrons emitted from the cathode and ions by field-aided dissociation of the oil. The proposed breakdown process will be used for the basic data to explain the behavior pattern of the decomposition product to cause the dispersion of the breakdown voltage.