• Journal of The Korean Association For Science Education
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• v.34 no.4
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• pp.367-373
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• 2014

The purpose of this study was to survey secondary school science teachers' teaching styles and to recognize students' science anxiety about science teachers' different teaching styles. One hundred seventy-four science teachers and 2,122 students participated. The teaching style questionnaire and the science anxiety measurement scale (SAMS) with teaching style were administered to teachers and students, respectively. Teaching styles were analyzed in terms of teacher's individual variables, such as gender and school level. The science anxiety related to each teaching style was analyzed and compared in terms of students' gender and school level. The results were as follows. First, the secondary school science teachers were classified into four types based on their teaching styles: expert, provider, facilitator and enabler. Most teachers fell under the expert style category and the least under enabler style. This indicated that numerous science teachers in secondary school employ a teacher-directed style rather than a student-centered style in class. Second, students felt the highest science anxiety with experts and the lowest science anxiety with enablers. The students' science anxiety showed statistically significant differences with different teaching styles (p<.05). Even though female students felt higher science anxiety than male students towards all four teaching styles, no statistically significant gender differences were found. Middle school students were more influenced by teaching style than high school students. Some suggestions were made for teachers to reduce students' science anxiety in classes based on results.

• Speech Sciences
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• v.10 no.4
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• pp.117-124
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• 2003

Speaker recognition is the technology that confirms the identification of speaker by using the characteristic of speech. Such technique is classified into speaker identification and speaker verification: The first method discriminates the speaker from the preregistered group and recognize the word, the second verifies the speaker who claims the identification. This method that extracts the information of speaker from the speech and confirms the individual identification becomes one of the most efficient technology as the service via telephone network is popularized. Some problems, however, must be solved for the real application as follows; The first thing is concerning that the safe method is necessary to reject the imposter because the recognition is not performed for the only preregistered customer. The second thing is about the fact that the characteristic of speech is changed as time goes by, So this fact causes the severe degradation of recognition rate and the inconvenience of users as the number of times to utter the text increases. The last thing is relating to the fact that the common characteristic among speakers causes the wrong recognition result. The silence parts being included the center of speech cause that identification rate is decreased. In this paper, to make improvement, We proposed identification rate can be improved by removing silence part before processing identification algorithm. The methods detecting speech area are zero crossing rate, energy of signal detect end point and starting point of the speech and process DTW algorithm by using two methods in this paper. As a result, the proposed method is obtained about 3% of improved recognition rate compare with the conventional methods.

• Journal of the Korean Institute of Intelligent Systems
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• v.27 no.2
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• pp.126-131
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• 2017

In this paper, we propose a method to extract meaningful motion among various kinds of hand gestures on giving commands to robots using hand gestures. On giving a command to the robot, the hand gestures of people can be divided into a preparation one, a main one, and a finishing one. The main motion is a meaningful one for transmitting a command to the robot in this process, and the other operation is a meaningless auxiliary operation to do the main motion. Therefore, it is necessary to extract only the main motion from the continuous hand gestures. In addition, people can move their hands unconsciously. These actions must also be judged by the robot with meaningless ones. In this study, we extract human skeleton data from a depth image obtained by using a Kinect v2 sensor and extract location data of hands data from them. By using the Kalman filter, we track the location of the hand and distinguish whether hand motion is meaningful or meaningless to recognize the hand gesture by using the hidden markov model.

• Journal of the Korean Chemical Society
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• v.53 no.5
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• pp.585-608
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• 2009

The aim of this study was to research the characteristics of science teachers' thinking related to dissolution and diffusion. For this study, five science teachers who majored in chemistry or chemistry education were selected and interviewed. These teachers have been teaching on average for 2$\sim$6 years. From the study, it was discovered that the science teachers didn't recognize the necessity of sorting out diffusion from dissolution. The teachers divided in various mixing phenomena with diverse criteria. The science teachers had difficulty in sorting out diffusion from dissolution based on solubility and Gibbs' energy. The teachers didn't see the linkage between the contents that were divided into chapters, and didn't find omitted contents themselves in the chapters that introduced applicable principles. During the interviews, the teachers felt the need to understand the principles for understanding phenomena. But they did not have the ability to teach these principles after learning about the principles themselves. Therefore, it is necessary to develop teacher education programs, as well as a science curriculum, that helps in linking the knowledge between natural phenomena and principles.

• Journal of the Korean Institute of Rural Architecture
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• v.13 no.3
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• pp.45-52
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• 2011

Development of rural village in the agriculture, forestry and fishing community development nongsan eoeopin samuijil improve and promote the special law, from 2004 to 2017, based on the 1000 National differentiated rural areas to maintain the "ness, and in rural areas to build basic infrastructure, a complex life-and characteristics of the rural development and participate in the preliminary planning stages and led from the bottom-up development project in the village during the project implementation period proposed by the residents of the project is a business. This study, Jeonnam local rural residents of the village to participate in Development Business to help identify and analyze the problems derive satisfaction and improve the direction and purpose it is proposed to activate. To enable business juminchamyeohyeong city committee of the doctors and residents rally the support of the local government system, including voluntary participation and bottom-up business is important for the recognition of conversions. For bottom-up business people recognize and understand the transition to a new seonjinji tour, the continued education of residents and leading to the village to town to put all my energy into education, including the leader of the residents of the town desperately needs strengthening and capacity. In addition, town residents also important for the development, awareness and active participation, residents and the local government, and established a partnership with a group of experts monitoring implementation of the main city in the shape of lack of food is the most important part is fill.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.10
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• pp.1967-1972
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• 2016

This paper defines a distance graph for a hand region in a depth image and proposes an algorithm detecting finger using it. The distance graph is a graph expressing the hand contour with angles and Euclidean distances between the center of palm and the hand contour. Since the distance graph has local maximum at fingertips' position, we can detect finger points and recognize the number of them. The hand contours are always divided into 360 angles and the angles are aligned with the center of the wrist as a starting point. And then the proposed algorithm can well detect fingers without influence of the size and orientation of the hand. Under some limited recognition test conditions, the recognition test's results show that the recognition rate is 100% under 1~3 fingers and 98% under 4~5 fingers and that the failure case can also be recognized by simple conditions to be available to add.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.664-665
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• 2016

This paper proposes an identification system based on QR (Quick Response) code for production and disposal information of Internet of Things (IoT) devices. Three thousands and five hundreds of electronic devices have replaced and discarded in South Korea in a year, and twenty millions to fifty millions tons of e-wastes have happened throughout the world every year. According to Gartner, market research institution, the number of IoT devices will increase from 2.3 billions in 2013 to 30 billions in 2020, however, the regulations and systems which take into account environment were not prepared. The identification systems for reflecting information of devices, which are produced or discarded, are required to resolve the problem. The proposed identification system based on QR code can store much more massive data such as the producer, product's model, serial number, recycling rate, recovering rate, recyclability rate, recoverability rate than RFID (Radio-Frequency Identification). Also, users can immediately recognize production and disposal information by a QR code application in a smartphone.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.248-251
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• 2016

This thesis has discussed how to recognize and convert raised letters on tire to data and collect such data. Unlike the existing recognition system, the system presented by this thesis recognizes raised letters on tire through detecting letters after converting the Kinect camera image into image data in the preprocessing stage. After then, numbers and letters are analyzed through image improvement by use of binary images, noise filter, etc. In the recognition stage, letter distinction is used and raised letters on tire are recognized 100% through correction of errors by way of the correction algorithm for tire data recognition errors. In this paper it will be the development of a method of recognizing characters and the tire technology. Although there are many ways to the already recognized characters, Tire characters requires a technique different from the more general character recognition. For this reason and to develop additional technical methods and algorithms for character recognition.

• Journal of the Korean Institute of Educational Facilities
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• v.22 no.1
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• pp.13-23
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• 2015

Currently, the group study becomes the most popular method and common custom for learning in public that is distinctly different from the preferred way of self-study in the last decades. As a result, the college and public facilities have been significantly changed to provide more and more new spaces for discussion, learning and sharing information with others as one of the remarkable improvements and advantages. On the other hands, library is one of the all-important public sites to obtain information and knowledge for students. Moreover, we can split out an individual space from the reading rooms to take part in the group activities such as group meetings and academic exchanges. Recently, several universities begin to recognize the value of group study and try to meet the research needs. Also, needs for students, and the group study rooms are applied into the new buildings and rebuilt ones under this background. In this study, It focuses on analyzing of the 134 group study rooms to investigate the variations in universities and classify the types of buildings with site researches through 14 indicators of indoor environments. To investigate different types of group study rooms, we use the SD method to analyze the findings. So far there is no research focusing on the study rooms, especially for the analysis of their types and indoor environments features. Therefore, this article can provide a theoretical basis and evidence to related researches; also can help us to improve indoor environments to offer a better learning environments for the students in the future.

• Interdisciplinary Bio Central
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• v.1 no.2
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• pp.8.1-8.6
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• 2009

Introduction: It is a challenge to design a protein score function which stabilizes the native structures of many proteins simultaneously. The coarse-grained description of proteins to construct the pairwise-contact score function usually ignores the backbone directionality of protein structures. We propose a new two-body score function which stabilizes all native states of 1,006 proteins simultaneously. This two-body score function differs from the usual pairwise-contact functions in that it considers two adjacent amino acids at two ends of each peptide bond with the backbone directionality from the N-terminal to the C-terminal. The score is a corresponding propensity for a directional alignment of two adjacent amino acids with their local environments. Results and Discussion: We show that the construction of a directional adjacency-score function was achieved using 1,006 training proteins with the sequence homology less than 30%, which include all representatives of different protein classes. After parameterizing the local environments of amino acids into 9 categories depending on three secondary structures and three kinds of hydrophobicity of amino acids, the 32,400 adjacency-scores of amino acids could be determined by the perceptron learning and the protein threading. These could stabilize simultaneously all native folds of 1,006 training proteins. When these parameters are tested on the new distinct 382 proteins with the sequence homology less than 90%, 371 (97.1%) proteins could recognize their native folds. We also showed using these parameters that the retro sequence of the SH3 domain, the B domain of Staphylococcal protein A, and the B1 domain of Streptococcal protein G could not be stabilized to fold, which agrees with the experimental evidence.