• Journal of Korean Elementary Science Education
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• v.31 no.2
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• pp.135-145
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• 2012

In this study, we developed an efficient in-service teachers training program, which could help the professional development of science gifted teachers. The characteristic feature of this in-service training program was to put great emphasis on interaction between fellow teachers. With this program, teachers could share their experiences and informations about gifted education. The program consisted of 4 interaction modules: 'the module of interaction at the pre-planning', 'the module of interaction in the small group', 'the module of interaction at the plan of application', 'the module of interaction at the practical exercise'. In this study, we analyzed the interaction between science gifted education teachers in 'the module of interaction at the pre-planning'. We analyzed the interaction between science gifted education teachers in 'the module of interaction at the pre-planning'. Each teachers got 17.2 correction opinions from peer teachers. They accepted 79.2% opinions among them and refused the other opinions (20.8% opinions). In the analysis of 'program process', the interactions for the improvement about 'the acquirements of knowledge and function' step were 41.9% and the interactions for the improvement about 'plan and exploration' step were 30.5%. In the analysis of 'program domain', the interactions about 'method of teaching and learning' were 41.9%. The interactions about 'program step' were 28.6% and the interactions about 'learning contentsh were 24.8%. With these results, we discussed the features of interaction between science gifted education teachers and proposed the improvement of in-service training program for elementary science gifted teachers.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.08a
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• pp.216-216
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• 2012

The interaction of hydrogen with ZnO single crystal surfaces, ZnO (0001), ZnO (000-1), and ZnO (10-10) has been investigated using temperature programmed desorption (TPD) and X-ray photoelectron Spectroscopy (XPS) techniques. When the ZnO single crystal surfaces are exposed to atomic hydrogen at 200 K, all three surfaces show hydrogen desorption at 450 K. ZnO (0001) surface shows hydrogen desorption feature at ~260 K as the hydrogen exposure is increased. The ZnO (10-10) surface shows low-temperature desorption feature first and the high-temperature desorption feature appears as the hydrogen exposure increases. The ZnO (000-1) surface does not show any lower temperature hydrogen desorption. We will report the adsorption configuration of hydrogen atoms on ZnO single crystal surfaces with different surfaces structures.

• Journal of the Korean Data and Information Science Society
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• v.17 no.4
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• pp.1279-1287
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• 2006

The purpose of this paper is to present a new algorithm for extracting the consensus pattern, or motif from sequence belonging to the same family. Two methods are considered for feature interval partitioning based on equal probability and equal width interval partitioning. C2H2 zinc finger protein and epidermal growth factor protein sequences are used to demonstrate the effectiveness of the proposed algorithm for motif extraction. For two protein families, the equal width interval partitioning method performs better than the equal probability interval partitioning method.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.10
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• pp.1364-1369
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• 2018

Speech emotion recognition, which aims to classify speaker's emotional states through speech signals, is one of the essential tasks for making Human-machine interaction (HMI) more natural and realistic. Voice expressions are one of the main information channels in interpersonal communication. However, existing speech emotion recognition technology has not achieved satisfactory performances, probably because of the lack of effective emotion-related features. This paper provides a survey on various features used for speech emotional recognition and discusses which features or which combinations of the features are valuable and meaningful for the emotional recognition classification. The main aim of this paper is to discuss and compare various approaches used for feature extraction and to propose a basis for extracting useful features in order to improve SER performance.

• Proceedings of the Korea Society of Design Studies Conference
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• 2003.05a
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• pp.232-233
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• 2003

• Journal of Korea Multimedia Society
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• v.25 no.2
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• pp.382-389
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• 2022

In China, E-commerce live broadcast has emerged as the most popular and innovative online shopping form for today's consumers, and its "real-time interactive" feature can compensate for the communication delays of general online shopping. Based on the author's previous research it has been demonstrated that, in the E-commerce live broadcast environment, Internet Word of Mouth (IWOM) has become an important reference for consumers when making purchases. In this paper, we reconstructed the "IWOM-Purchase Intentions" model and use interaction (Auchor-Audience and Audience-Audience) as a mediating variable to empirically investigate the impact of IWOM on purchase intentions in E-commerce live broadcast. The data were collected through a questionnaire survey of individuals who had experience in E-commerce live broadcast and 250 valid data were obtained and analyzed by SPSS21.0. The results show that: the interaction (Auchor-Audience) acts as a mediator between IWOM (strength of relationship; word-of-mouth quality and word-of-mouth timeliness) and purchase intention; And the interaction (Audience-Audience) acts as a mediator between word-of-mouth timeliness on purchase intention, but has no significant mediation on the impact on the strength of relationship and word-of-mouth quality to purchase intention. On this basis, recommendations are made for the implementation of IWOM marketing strategies for E-commerce live broadcast platforms and anchors.

• IEIE Transactions on Smart Processing and Computing
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• v.1 no.1
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• pp.1-7
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• 2012

This paper presents a system used to automatically recognize the road traffic control gestures of police officers. In this approach,the control gestures of traffic police officers are captured in the form of depth images.A human skeleton is then constructed using a kinematic model. The feature vector describing a traffic control gesture is built from the relative angles found amongst the joints of the constructed human skeleton. We utilize Support Vector Machines (SVMs) to perform the gesture recognition. Experiments show that our proposed method is robust and efficient and is suitable for real-time application. We also present a testbed system based on the SVMs trained data for real-time traffic gesture recognition.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.827-831
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• 2002

MediaGIS is a concept of tightly integrated multimedia with spatial information. VideoGIS is an example of MediaGIS focused on the interaction or interaction of video and spatial information. Our suggested GeoVideo, a new concept of VideoGIS has its key feature in interactiveness. In GeoVideo, the geographic tasks such as browsing, searching, querying, spatial analysis can be performed based on video itself. GeoVideo can have the meaning of paradigm shift from artificial, static, abstracted and graphical paradigm to natural, dynamic, real, and image-based paradigm. We discuss about the integration of video and geography and also suggest the GeoVideo system design. Several considerations on expanding the functionalities of GeoVideo are explained for the future works.

• Journal of the Korean Magnetic Resonance Society
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• v.25 no.1
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• pp.1-7
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• 2021

Employing of 13C stable-isotopes in NMR metabolomics can give unique splitting patterns and coupling constants information originated from 13C-13C coupling interaction that provide an important structural information regarding the cellular metabolic process. But it has been known that an undesirable signal distortion in 2D heteronuclear correlation study, due to 13C-13C interaction, hampers an analysis of the coupling information. Recently, we proposed J-scaled distortion-free heteronuclear single-quantum coherence (HSQC) sequence which provides a distortion-free 13C-13C coupling information with a selective resolution enhancement of JCC splitting. In this paper, we dicuss theoretical aspect and practical feature of J-scaled HSQC pulse sequence. The conceptual explanation of orgin of the signal distortion by 13C-13C coupling interaction and design of J-scaled HSQC through exemplified results are provided in brief.

• ETRI Journal
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• v.42 no.2
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• pp.230-238
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• 2020

Human-object interaction (HOI) detection is a popular computer vision task that detects interactions between humans and objects. This task can be useful in many applications that require a deeper understanding of semantic scenes. Current HOI detection networks typically consist of a feature extractor followed by detection layers comprising small filters (eg, 1 × 1 or 3 × 3). Although small filters can capture local spatial features with a few parameters, they fail to capture larger context information relevant for recognizing interactions between humans and distant objects owing to their small receptive regions. Hence, we herein propose a three-stream HOI detection network that employs a context convolution module (CCM) in each stream branch. The CCM can capture larger contexts from input feature maps by adopting combinations of large separable convolution layers and residual-based convolution layers without increasing the number of parameters by using fewer large separable filters. We evaluate our HOI detection method using two benchmark datasets, V-COCO and HICO-DET, and demonstrate its state-of-the-art performance.