• 한국생활과학회지
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• 제13권5호
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• pp.799-809
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• 2004

Our study found that the types and forms of patterns of Japan, although they are similar to those of Korea and China, hold their own distinctive aesthetic awareness. They were made so, because the Japanese had not simply copied the patterns from other countries and also had changed them in various ways for ages. Especially, geometric patterns were widely used on some types of kimono costumes and belts in Edo period. One of the most widely used patterns was called Suk Chup Mun, and Tatewaku pattern was another. The San Gil Mun and Chil Bo Mun pattern was least used. In the patterns combination, that of animal and plant patterns was general. A single geometric pattern was not used, but if any, it was in Sima patterns and latticed patterns. On the other hand, the combination of geometric and plant patterns was more frequently used as composite patterns than any other pattern, such as geometric pattern with home tools, or one with animal patterns or nature patterns. The geometric patterns that had appeared in Edo period were combined in paintings along with animal and home tools patterns, so it could become a representative pattern of the age.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.627-630
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• 2006

Sequential Pattern Mining is the mining approach which addresses the problem of discovering the existent maximal frequent sequences in a given databases. In the daily and scientific life, sequential data are available and used everywhere based on their representative forms as text, weather data, satellite data streams, business transactions, telecommunications records, experimental runs, DNA sequences, histories of medical records, etc. Discovering sequential patterns can assist user or scientist on predicting coming activities, interpreting recurring phenomena or extracting similarities. For the sake of that purpose, the core of sequential pattern mining is finding the frequent sequence which is contained frequently in all data sequences. Beside the discovery of frequent itemsets, sequential pattern mining requires the arrangement of those itemsets in sequences and the discovery of which of those are frequent. So before mining sequences, the main task is checking if one sequence is a subsequence of another sequence in the database. In this paper, we implement the subsequence matching method as the preprocessing step for sequential pattern mining. Matched sequences in our implementation are the normalized sequences as the form of number chain. The result which is given by this method is the review of matching information between input mapped sequences.

• 대한의용생체공학회:의공학회지
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• 제9권1호
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• pp.93-100
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• 1988

The Auto Regressive Parameter Estimation and Pattern Classification of EKG Signal for Automatic Diagnosis. This paper presents the results from pattern discriminant analysis of an AR (auto regressive) model parameter group, which represents the HRV (heart rate variability) that is being considered as time series data. HRV data was extracted using the correct R-point of the EKG wave that was A/D converted from the I/O port both by hardware and software functions. Data number (N) and optimal (P), which were used for analysis, were determined by using Burg's maximum entropy method and Akaike's Information Criteria test. The representative values were extracted from the distribution of the results. In turn, these values were used as the index for determining the range o( pattern discriminant analysis. By carrying out pattern discriminant analysis, the performance of clustering was checked, creating the text pattern, where the clustering was optimum. The analysis results showed first that the HRV data were considered sufficient to ensure the stationarity of the data; next, that the patern discrimimant analysis was able to discriminate even though the optimal order of each syndrome was dissimilar.

• 복식
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• 제61권8호
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• pp.32-44
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• 2011

This study will explore the application of the Korean alphabet 'Hangul' and its calligraphy on fashion design. Hangul is well known for its great formative characteristics. Its calligraphy has unique features that express the implicative meaning of the Korean language while simultaneously displays beautiful shapes that draw the viewer's eye. When Hangul calligraphy is applied on the pattern design, it can be an excellent opportunity to demonstrate the visual beauty of Hangul. The purpose of this study is to develop the pattern designs that utilize the Hangul calligraphy and apply them in various fields of fashion. The detailed concepts of this study are as follows. First, the theoretical concepts and characteristics of both Hangul calligraphy and pattern design will be understood. Second, the aesthetic characteristics of calligraphy will be drawn by case analysis on the artworks of famous calligraphers such as Kim Jong-geon, Kang Byeong-in, Lee Sang-hyeon, Lee Gyu-bok and other representative calligraphers who design the beauty of Korean calligraphy by handwriting and brush-writing. The obtained results will be used to explore the desirable direction of fashion design. Third, eight pattern motif fashion works that utilize Hangul calligraphy in accordance with the arrangement of different characteristics of fashion design will be presented.

• 대한원격탐사학회지
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• 제22권5호
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• pp.457-462
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• 2006

Sequential Pattern Mining is the mining approach which addresses the problem of discovering the existent maximal frequent sequences in a given databases. In the daily and scientific life, sequential data are available and used everywhere based on their representative forms as text, weather data, satellite data streams, business transactions, telecommunications records, experimental runs, DNA sequences, histories of medical records, etc. Discovering sequential patterns can assist user or scientist on predicting coming activities, interpreting recurring phenomena or extracting similarities. For the sake of that purpose, the core of sequential pattern mining is finding the frequent sequence which is contained frequently in all data sequences. Beside the discovery of frequent itemsets, sequential pattern mining requires the arrangement of those itemsets in sequences and the discovery of which of those are frequent. So before mining sequences, the main task is checking if one sequence is a subsequence of another sequence in the database. In this paper, we implement the subsequence matching method as the preprocessing step for sequential pattern mining. Matched sequences in our implementation are the normalized sequences as the form of number chain. The result which is given by this method is the review of matching information between input mapped sequences.

• 동의생리병리학회지
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• 제32권1호
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• pp.1-12
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• 2018

This article is for understanding characteristics of febrile disease through analysing usage of representative prescriptions in "Wenbingtiaobian", composition of their related prescriptions and their coverage of modern diseases. Analysis of prescriptions was based on "Translation of Wenbingtiaobian", "Modern Shanhanlun" and "Herbal Formula Science" and clinical papers were searched in China Academic Journals(CAJ) of China National Knowledge Infrastructure(CNKI). Conclusions are as follows. First, principles of modifying or formulating prescriptions for febrile diseases are clearing heat, nourishing yin or dispelling dampness. Second, Zengyechengqitang, Xinjiahuanglongtang and Huweichengqitang are applied to pattern of bowel excess such as constipation or ileus. Third, Jiajianfumaitang is applied to heart diseases, Sanjiafumaitang to liver and heart, Dadingfengzhu to liver diseases. Fourth, Jiajianzhengqisan related prescriptions are applied to spleen diseases like conspitation, diarrhea or gastritis. Fifth, Baihujiarenshentang is applied to diabetes or fever and Baihujiaguizhitang to gout or arthritis. Sixth, Xuanbaichengqitang is applied to lung diseases and Taorenchengqitang to gynecology diseases. Seventh, Sanrentang is applied lung diseases like cough or pneumonia, spleen diseases like diarrhea or enteritis and kidney diseases like edema, arthritis or leucorrhea. Eighth, Yinqiaosan and Sangjuyin tend to be applied to exogenous diseases and diseases of five organs of sense, Jiajianfumaitang and Sanjiafumaitang to heart diseases, Angongniuhuangwan to encephalopathy, Qingyingtang and Huabantang to skin diseases, Zengyetang to gastrointestinal disorders, Shashenmaidongtang to lung or spleen diseases.

• The Journal of the Acoustical Society of Korea
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• 제27권2E호
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• pp.51-56
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• 2008

In this paper, we propose an effective method for music summarization which automatically extracts a representative part of the music by using signal processing technology. Proposed method uses a vector quantization technique to extract several segments which can be regarded as the most important contents in the music. In general, there is a repetitive pattern in music, and human usually recognizes the most important or catchy tune from the repetitive pattern. Thus the repetition which is extracted using segment similarity is considered to express a music summary. The segments extracted are again combined to generate a complete music summary. Experiments show the proposed method captures the main theme of the music more effectively than conventional methods. The experimental results also show that the proposed method could be used for real-time application since the processing time in generating music summary is much faster than other methods.

• 전기학회논문지
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• 제58권12호
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• pp.2385-2390
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• 2009

Based on the detailed analysis of output characteristics of PV array and residential load usage pattern, a design method to calculate optimal battery capacity for stand-alone PV generation systems is proposed. And also, according to power flow Actual irradiation and temperature data are analyzed to compose a PV array simulator and also six representative home appliances are electrically modeled for load simulator, along with 24hours usage pattern. The surplus and insufficient power can be calculated from the proposed simulation platform, so that selection of an optimal battery capacity can be possible. The theoretical analysis and design process will be explained, along with informative simulation results.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2000년도 춘계학술대회논문집 - 한국공작기계학회
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• pp.447-452
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• 2000

The grinding plays a key role which decide the quality of a product finally. But the grinding process is very irregular, so it is very difficult to analyse the process accurately. Therefore it is very important in the aspect of precision and automation to reduce the idle time and to decide the proper dressing time by visualizing. In this study, we choose the direct method of observation by making use of computer vision, and apply pattern classification technique to the method of measuring the wheel surface. Pattern classification technique is proper to analyse complex surface image. We observe the change of the wheel surface by making use of the gray level run lengths which are representative prince in this technique.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2006년도 추계학술대회 논문집
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• pp.719-722
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• 2006

At present, In korea one of big characteristics in electricity power market is unique seller but in the near future competitions are expected in the market. Another big trend is development of IT technology. Through IT, remote inspection for power usage are possible. So huge power consumer like KORAIL it is necessary to investigate power consumption pattern. This paper presents load consumption pattern for representative substation and billing system database program. Base on the substation annual power usage data, the characteristic of the substation power consumption are investigated and effective electrical billing system are compared each other. The database program was properly designed to examine the billings.