• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.85-92
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• 2017

Recently, in the field of video surveillance, a Deep Learning based learning method has been applied to a method of detecting a moving person in a video and analyzing the behavior of a detected person. The human activity recognition, which is one of the fields this intelligent image analysis technology, detects the object and goes through the process of detecting the body keypoint to recognize the behavior of the detected object. In this paper, we propose a method for Body Keypoint Localization based on Object Detection using RGB-D information. First, the moving object is segmented and detected from the background using color information and depth information generated by the two cameras. The input image generated by rescaling the detected object region using RGB-D information is applied to Convolutional Pose Machines for one person's pose estimation. CPM are used to generate Belief Maps for 14 body parts per person and to detect body keypoints based on Belief Maps. This method provides an accurate region for objects to detect keypoints an can be extended from single Body Keypoint Localization to multiple Body Keypoint Localization through the integration of individual Body Keypoint Localization. In the future, it is possible to generate a model for human pose estimation using the detected keypoints and contribute to the field of human activity recognition.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.463-470
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• 2016

This experimental research as media effect study explores the effect of the current documentary that deals with radioactive contamination widely spread by fukushima nuclear accident on political and social recognition of domestic audience. Proceeding studies about media effect dealt mainly with news contents of TV, newspaper and internet. However studies on the effect of current documentary as non news contents on audience that provide us with profound information by various subjects are very few. Especially it is difficult to find studies about disaster documentary dealing with radioactive contamination having much effect on global environment. Accordingly this research implemented experimental study to find out the effect of current documentary that deals with radioactive contamination by fukushima nuclear accident on political and social recognition of audience. This research found that subjects exposed to the current documentary considered outdated nuclear power plant more seriously, supporting the opposition party more positively, claiming shutdown of outdated nuclear power plant, and opposing additive construction of nuclear power plant than subjects not exposed to the current documentary.

• Journal of the Korean earth science society
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• v.23 no.4
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• pp.309-323
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• 2002

This qualitative study investigated preservice teachers' understandings of the ontology and epistemology underlying constructivist notions of learning through four in-depth interviews. Of the sixteen participants in a larger study, five significantly changed ontological and epistemological beliefs and eleven did not. This study focused on these eleven teachers who have hardly changed their philosophical beliefs throughout the teacher education program. Ten teachers who consistently maintained the scientific realist beliefs were presented as a composite case (Young's case). Among the eleven teachers, there was one outlier who had consistently maintained an idealist and relativist epistemological position from the beginning of the study and was subjected to another case analysis (Ben's case). These cases corroborated the assertion that each individual's deeply entrenched ontological and epistemological beliefs are very hard to change. For researchers, this study offers insights into the reasons that preservice teachers give for non-changes in their thinking about learning to teach. The study also examines preservice teachers' perceived constraints in implementing their ideal pedagogies and the influence of the teacher education program on their pedagogical beliefs changes. The benefits and influences of the M.Ed. program's theoretical coursework and the field experiences on these teachers' learning-to-teach experiences are addressed with rich data. The implications for teacher educators as well as for the instructional practices of preservice teacher education programs are discussed. This research emphasize necessity of the field-based teacher education program and the need of empowering experienced school teachers as teacher educators in teacher preparation and professional development.

• Journal of Agricultural Extension & Community Development
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• v.20 no.1
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• pp.265-297
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• 2013

This study performed quality study to examine cognition and experience as it is about husband role of wife's perception in rural multicultural family. Specifically the results of in-depth interviews with 13 females in rural multicultural family was analyzed through phenomenological method. The results were as followings: first, wife's cognition about husband role in rural multicultural family, they were 'nice and warm man', 'no special thought', 'clean and cool looking man', 'man without straitening wife', 'husband taking care of housekeeping', 'having independent family' and 'strong responsibility to children'. Females in rural multicultural family did not deeply think about husband's role at international marriage, but it could be known that vague longing for rich country, Korea by Korean wave and its expectation continued to expectation on husband. Second, they were 'good-tempered and nice to me', 'adjust to me', 'irresponsibility and apathy', 'cannot lean to him', 'no housekeeping', 'intermediate role between his family', 'more taking care of children, parents and relatives', 'drink, gambling and violence'. The experience of husband role was little different from cognition of husband role by females in rural mulitcultural family.

• Journal of Gifted/Talented Education
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• v.26 no.4
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• pp.721-746
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• 2016

The purpose of this study was to investigate the effects of science experience with their children on mothers who have children who are science gifted children and how they perceive what kind of parenting methods are appropriate for the growth and development of children who are science gifted children. To do this, we interviewed 13 mothers of the gifted education center of the Ministry of Education and conducted two in - depth interviews with them. Results, mothers who have scientific gifted children have various science experiences with children who are scientific gifted. In this process, mothers of gifted children understand the gifted children through science experience with their children, I have come to realize that it is necessary to provide an educational environment that can express my child's talents and help to determine the direction of my career. For this purpose, leadership education that reminds the importance of relationships between people, providing opportunities for various experiences so that they can decide their life, career education through inquiry of deep science experience and meeting with senior scientists, humanities for integrated thinking And the arts. In this way, it is possible to provide in-depth research results to the mothers of the gifted and talented to provide specific directions for the various supportive methods and teaching methods that the gifted children should provide for intellectual and emotional growth and development. Development of educational programs is necessary.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.4
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• pp.125-132
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• 2021

As the layers of artificial neural network deepens, and the dimension of data used as an input increases, there is a problem of high arithmetic operation requiring a lot of arithmetic operation at a high speed in the learning and recognition of the neural network (NN). Thus, this study proposes a data dimensionality reduction method to reduce the dimension of the input data in the NN. The proposed Line-segment Feature Analysis (LFA) algorithm applies a gradient-based edge detection algorithm using median filters to analyze the line-segment features of the objects existing in an image. Concerning the extracted edge image, the eigenvalues corresponding to eight kinds of line-segment are calculated, using 3×3 or 5×5-sized detection filters consisting of the coefficient values, including [0, 1, 2, 4, 8, 16, 32, 64, and 128]. Two one-dimensional 256-sized data are produced, accumulating the same response values from the eigenvalue calculated with each detection filter, and the two data elements are added up. Two LFA256 data are merged to produce 512-sized LAF512 data. For the performance evaluation of the proposed LFA algorithm to reduce the data dimension for the recognition of handwritten numbers, as a result of a comparative experiment, using the PCA technique and AlexNet model, LFA256 and LFA512 showed a recognition performance respectively of 98.7% and 99%.

• Journal of Korean Society of Forest Science
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• v.110 no.3
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• pp.462-477
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• 2021

The purpose of this study was to understand changes in domestic forest policy and social perception of forests from a macro perspective using big data analysis of news articles and editorials. A total of 13,570 'forest' related data were collected from metropolitan and economic journals from 1946-2017 using keyword and CONCOR (Convergence of iterated Correlations) analysis. First, we found the percentage of articles and editorials using the keyword 'forest'increased overall. Second, news data on 'forest' in the field of reporting was concentrated in the "social" sector during the first period (1946-1966), followed by forest-related issues expanding to various fields from the second (1967-1972) to fifth (1988-1997) periods, then toward the "culture" sector in the sixth (1998-2007) and "politics" after the seventh (2008-2017) period. Third, we found changes in the policy paradigm over time significantly changed social awareness. In the first and second periods, people experienced livelihood issues rather than forest greening or forest protection policy and expanded their awareness of planned and scientific afforestation (third) to environmental protection (fourth) and ecological perspectives (sixth to seventh). The key outcome of our analysis was leveraging news big data that reflected polices on forests and public social perception To further derive future social issues,more in-depth analysis of public discourse and perception will be possible using textual big data and GDP of various social network services (SNS), such as combining blogs and YouTube.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.39 no.3
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• pp.11-22
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• 2002

The design of optimal filter yielding optimal texture feature separation is a most effective technique in many torture analyzing areas, such as perception of surface, object, shape and depth. But, most optimal filter design approaches are restricted to the issue of computational complexity and supervised problems. In this paper, Our proposed method yields new insight into the design of optimal Gabor filters for segmenting multiple texture images. The optimal frequency of Gator filter is turned to the optimal frequency of the distinct texture in frequency domain. In order to show the performance of the designed filters, we have attempted to build a various texture images. Our experimental results show that the performance of the system is very successful.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.9
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• pp.83-90
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• 2009

In this paper, a method for reduction of error ratio by external light noise is proposed, which separates error moving component caused by external light noise from moving component of an object, using depth information of stereo image. If measured depth information change of extracted moving component is insignificant, the moving component is considered as external light noise, which concludes that there is no moving object. Experimental results assert the usefulness of the proposed method which makes error ratios by external light noise and by false image as shadow diminish.

• Journal of Global Scholars of Marketing Science
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• v.6
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• pp.1-23
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• 2000

오늘날 유통업을 둘러싼 시장환경의 급속한 변화와 유통구조의 재편은 지역 재래시장에 심각한 영향을 미치고 있다. 다양화, 개성화된 신소비행태의 확산, 개방화에 따른 상품고 유통시장의 국제화, 정부규제 완화, 지방화 시대의 도래, 정보화의 진전, 다양한 신업태 등장 등 지난 수십 년간 경험하지 옷한 새로운 환경의 도래는 유통업계 전체에 엄청난 변화를 강요하고 있다. 이러한 새로운 유통 환경속에서 자생적 경쟁력이 취약한 지역 재래시중 은 유통 환경변화에 적응하지 못해 침체를 면치 못하고 있다 이 같은 재래시장의 침체와 위축은 지역 영세상인의 생계문제와 진주지역의 경제에까지 영향올 미치고 있는 실정이다. 현재 지역의 재래시장이 직면해 있는 실태를 살펴보면, 첫째, 국내 유통시장 완전 개방9 따른 유통 산업구조의 변화와 극심한 경기침체 등의 경제환경의 변화, 소비자 욕구의 다양화에 따른 소비환경의 변화, 유통구조 변화의 영향으로 따른 신업태의 출현함으로써 기존의 경쟁상권의 판도 변화에 대한 대응력의 부족올 문제점으로 지적할 수 있다. 둘째, 상인자본의 영세성으로 인한 시설의 불비와 낙후성, 공중 및 환경시설의 미비, 주차공간의 미확보 등 시장의 시설적 측면에서 문제점이다, 세째, 시장활성화에 대한 상인들의 자발적인 노려과 이의 실천을 위한 확고한 의지의 결여 및 서로 믿고 신뢰하는 시장문화의 부재, 그리고 시장기능의 악화에 대한 상인들의 깊이 있는 성찰과 인식이 부족한 점을 지적할 수 있다. 넷째, 소비자들이 재래시장올 외면하는 가장 큰 이유는 '품질과 성능에서의 차별화 독자성'의 결여를 들 수 있겠다. 다섯째, 독창적인 커뮤니케이션의 부족이다. 동대문 시장이 상인들의 끊임없는 노력으로 세계적인 의류패션의 메카를 일궈낸 것을 타산지석으로 삼아야 할 것이다.