• Title/Summary/Keyword: traditional extracting method

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관절의 회전각을 이용한 자세 매칭률 획득 방법 (A Method of Pose Matching Rate Acquisition Using The Angle of Rotation of Joint)

  • 현훈범;송수호;이현
    • 대한임베디드공학회논문지
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    • 제11권3호
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    • pp.183-191
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    • 2016
  • Recently, in rehabilitation treatment, the situation that requires a measure of the accuracy of the pose and movement of joints is being increased due to the habits and lifestyle of modern people and the environment. In particular, there is a need for active automated system that can determine itself for the matching rate of pose Basically, a method for measuring the matching rate of pose is used by extracting an image using the Kinect or extracting a silhouette using the imaging device. However, in the case of extracting a silhouette, it is difficult to set the comparison, and in the case of using the Kinect sensor, there is a disadvantages that high accumulated error rate according to movement. Therefore, In this paper, we propose a method to reduce the accumulated error of matching rate of pose getting the rotation angle of joint by measuring the real-time amount of change of 9-axis sensor. In particular, it can be measured same conditions that unrelated of the physical condition and unaffected by the data for the back and forth movement, because of it compares the current rotation angle of the joint. Finally, we show a comparative advantage results by compared with traditional method of extracting a silhouette and a method using a Kinect sensor.

어휘사전 워드넷을 활용한 의미기반 웹 정보필터링 (Semantic-Based Web Information Filtering Using WordNet)

  • 변영태;황상규;오경묵
    • 한국정보처리학회논문지
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    • 제6권11S호
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    • pp.3399-3409
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    • 1999
  • Information filtering for internet search, in which new information retrieval environment is given, is different from traditional methods such as bibliography information filtering, news-group and E-mail filtering. Therefore, we cannot expect high performance from the traditional information filtering models when they are applied to the new environment. To solve this problem, we inspect the characteristics of the new filtering environment, and propose a semantic-based filtering model which includes a new filtering method using WordNet. For extracting keywords from documents, this model uses the SDCC(Semantic Distance for Common Category) algorithm instead of the TF/IDF method usually used by traditional methods. The world sense ambiguation problem, which is one of causes dropping efficiency of internet search, is solved by this method. The semantic-based filtering model can filter web pages selectively with considering a user level and we show in this paper that it is more convenient for users to search information in internet by the proposed method than by traditional filtering methods.

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An Alignment based technique for Text Translation between Traditional Chinese and Simplified Chinese

  • Sue J. Ker;Lin, Chun-Hsien
    • 한국언어정보학회:학술대회논문집
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    • 한국언어정보학회 2002년도 Language, Information, and Computation Proceedings of The 16th Pacific Asia Conference
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    • pp.147-156
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    • 2002
  • Aligned parallel corpora have proved very useful in many natural language processing tasks, including statistical machine translation and word sense disambiguation. In this paper, we describe an alignment technique for extracting transfer mapping from the parallel corpus. During building our system and data collection, we observe that there are three types of translation approaches can be used. We especially focuses on Traditional Chinese and Simplified Chinese text lexical translation and a method for extracting transfer mappings for machine translation.

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전통 호분 제조기술 연구 - 풍화방법을 중심으로 - (Investigation of the Korean Traditional Hobun Manufacturing Technique - Centering on Weathering Method -)

  • 김순관;이한형;김호정;정혜영
    • 보존과학연구
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    • 통권29호
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    • pp.199-220
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    • 2008
  • Hobun(Oyster shell White) is a traditional material used as extender and white pigment from ancient times. The production method of it, however, has been discontinued. We have studied the traditional production method of Hobun by weathering oyster shell, which is one of the traditional ways for preparing Hobun. Reproduction study of manufacturing method of the discontinued traditional material is an important accomplishment of our research. Also this study provides solid background knowledge to stabilize the production and supply of Hobun for the cultural asset repairing materials. The result can be summarized as follows: The production process of Hobun by weathering method takes 5 steps - (1) weathering shells ${\rightarrow}$ (2) washing ${\rightarrow}$ (3) pulverization ${\rightarrow}$ (4) separating fine powder by submerging in water ${\rightarrow}$ (5) drying. The major aim in step (1) is to eliminate organic impurities. In the step (4), the fine particles smaller than $25{\mu}m$ are separated by extracting the supernatant from stirred suspension after heavy particles are submerged. Also, the soluble inorganic impurities can be eliminated through the powder submerge in 15 times water and stirring the suspension 6 hours and changing the water 3~4 times. The final products have high quality with 94.03, 0.52, 2.05 for L, a, b, less than $25{\mu}m$ particle size, fine resistance for discoloration by light and environmental pollution and good workability.

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갈색 육수의 이화학적 및 관능적 특성 분석 - 전통 방식과 고압 가열 방식 비교 - (The Analysis of Physicochemical and Sensory Characteristics in Brown Stock - Comparison of Traditional Method and High-Pressure Extracted Method -)

  • 최수근;장혁래;나영아
    • 한국조리학회지
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    • 제14권3호
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    • pp.196-209
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    • 2008
  • This study was conducted to mass-produce brown stock optimized by using a high-pressure heating extractor and to use brown stock as a material for developing various products. For these purposes, we attempted to produce standardized brown stock by extracting brown stock using a high-pressure heating extractor and compared it with brown stock extracted by the traditional method in terms of general elements and mechanical and sensory characteristics. With regard to how to prepare optimal brown stock, the best brown stock was that extracted seven times repeatedly by the traditional method, but the method had a large economic loss in terms of material consumption and took a long time in extraction. Thus, considering time and labor, it was concluded that extraction at 120$^{\circ}C$ for 15 hours using a high-pressure heating extractor is the optimal extraction condition in terms of economic efficiency and quality. The results of this study are expected to be useful as a practical material for making brown stock production process more convenient, applying cooks' traditional cooking techniques to mass production, maintaining standardized superior quality and taste, and improving shelf life.

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GIS를 이용한 해안단구 지형면 분류 기법 연구 - 감포지역을 사례로 - (Development of the GIS Method for Extracting a Specific Geomorphic Surface of Coastal Terrace at Gampo Area, Southeastern Coast in Korea)

  • 박한산;윤순옥;황상일
    • 대한지리학회지
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    • 제36권4호
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    • pp.458-473
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    • 2001
  • 지형면 분류도는 지형학 연구에 있어서 가장 기본적인 자료이다 최근가지 이루어지고 있는 항공사진, 지형도 및 현지조사에 의한 지형면 분류 방법은 많은 시간과 높은 숙련도를 요구하며, 항공사진 획득에도 어려움이 있다. 현재 우리나라는 수치지도가 거의 완성되었으므로. GIS를 이용하여 해안단구 지형이 갖는 해발고도와 경사도의 특성을 정량적으로 분석하면, 적합한 지형면을 찾아낼 수 있다. 본 연구에서는 이미 전통적인 방법에 의해 해안단구 연구가 다수 이루어진 한국 남동해안 경주시 감포읍 지역에서, GIS를 이용하여 보다 효율적이고 객관적인 해안단구 지형면 분류 기법을 제시하였다. 이를 위하여 해안단구 지형면 분류 과정을 설계하였으며, 지형면 분류에 적합한 분류요인을 선정하고, 최적분류기준을 추출하여 지형면을 분류한 후, 부합을 및 오류율을 통하여 이러한 방법에 대한 효용성과 문제점을 검토하였다.

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붉은 대게 껍질을 이용한 소스 제조에 관한 연구 (Studies on the Processing of Sauce by using Red Crab Shell)

  • 성태종;최수근;변광인
    • 한국식생활문화학회지
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    • 제23권6호
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    • pp.667-680
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    • 2008
  • The moisture contained in conventionally extracted red crab shell samples was lower than than in samples extracted using high pressure. In contrast, ash content increased as the extraction time increased and displayed no significant variation in high pressure extraction. Extraction time was influential, with lower lightness (L-value) being obtained in samples extracted at high pressure as compared to traditional extraction. However, large variation in a- and b-values resulted from traditional extraction. For both traditional and high pressure extraction increases in pH, salinity and saccharide content were noted with increasing extraction time, but these parameters did not vary substantially in red crab shell extracted at high pressure. The mineral content in samples extracted by high pressure was higher than in traditionally extracted samples. The mineral content increased with time, with marginally higher contents of essential amino acids and flavor enhancing amino acids noted following high pressure extraction. The contents of the flavor enhancing amino acids increased from 30?60 min, thereafter decreasing. Assessment of consumer acceptance revealed that, while traditionally manufactured red crab sauce was popular, sauce manufactured using a 60 min high pressure extraction was preferred. Extending the high pressure extraction time to 75 min produced a less sensory acceptable product, due to higher mineral and protein levels.

융기된 영상의 골격선 추출에 의한 에지 보정 알고리듬 (Edge Compensation Algorithm by Extracting the Skeletons from the Uplifted Image)

  • 박미진;양영일
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 하계종합학술대회 논문집(4)
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    • pp.167-170
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    • 2000
  • In this paper, we propose the edge compensation algorithm which connects the adjacent edges without losing the information of the skeletons on the edge image. The proposed edge compensation algorithm is composed of succeeding two steps. In the first step, the uplifted image is obtained by applying the uplifting process to the edge image. The next step is to extract the edge image from the uplifted image using the skeleton extraction algorithm. Experimental results show that the proposed method connects the adjacent edges without the distortion of the original edge information compared to the traditional method

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A Study on the Utilization of Urban Garden Design Derived from the Traditional Farming Method Gyeonjongbeop from the Joseon Period: Focused on Imwongyeongjeji Bolliji

  • Hong, In-Kyoung;Yun, Hyung-Kwon;Chae, Young;Lee, Sang-Mi;Jung, Young-Bin;Lee, Mi-Ra
    • 인간식물환경학회지
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    • 제23권4호
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    • pp.423-432
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    • 2020
  • Background and objective: Traditional farming is winning recognition as a sustainable alternative farming method. As urban farming increases in South Korea, it is crucial to develop more sustainable farming techniques. Gyeonjongbeop is the traditional farming method introduced in the Joseon period. This study was conducted to propose a productive garden model suitable for urban farming through the interpretation of traditional farming methods contained in Imwongyeongjeji Bolliji and to test the model on an actual field. Methods: Using the design and cropping system of Gyeonjongbeop as the research materials, we reviewed its tillage and cultivation and examined the applicability. We proposed a modified method by extracting parts applicable to urban farming. According to the methods, we created a garden with ridges and furrows, cultivated proper vegetables, and evaluated their growth. Results: Raphanus sativus, Allium fistulosum L., Brassica juncea, and Spinacia oleracea grown on ridges showed higher growth than those grown on a conventional flat field. The growth of Hordeum vulgare var. hexastichon and Triticum aestivum L. on furrows was also slightly higher. This proved that the method could make up for the deficiencies of barley and wheat that are weak against winds and cold and are easily destroyed by the spring rains. Conclusion: Ridge and furrow cultivation derived from Gyeonjongbeop can be an efficient urban farming system compared to the conventional cultivation in flat fields. The system can use fallow lands in winter for year-round urban farming. In addition, the application of the traditional farming system can enhance the humanistic value of urban farming.

웨이브렛 변환과 신경회로망을 이용한 SMD IC 패턴인식 (Pattern recognition of SMD IC using wavelet transform and neural network)

  • 이명길;이준신
    • 전자공학회논문지S
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    • 제34S권7호
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    • pp.102-111
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    • 1997
  • In this paper, a patern recognition method of surface mount device(SMD) IC using wavelet transform and neural network is proposed. We chose the feature parameter according to the characteristics of coefficient matrix which is obtained from four level discrete wavelet transform (DWT). These feature parameters are normalized and then used for the input vector of neural network which is capable of adapting the surroundings such as variation of illumination, arrangement of objects and translation. Experimental results show that when the same form of feature pattern, as is used for learning, is put into neural network and gained 100% rate ofrecognition irrespective of SMD IC kinds, location and variation of illumination. In the case of unused feature pattern for learning, the recognition rate is 85.9% under the similar surroundings, where as an average recognition rate is 96.87% for the case of reregulated value of illumination. Proosed method is relatively simple compared with the traditional space domain method in extracting the feature parameter and is also well suited for recognizing the pattern's class, position and existence. It can also shorten the processing tiem better than method extracting feature parameter with the use of discrete cosine transform(DCT) and adapt the surroundings such as variation of illumination, the arrangement and the translation of SMD IC.

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