• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.620-631
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• 2021

The study aim to test the effect of voice agent's preceding utterance type on the user experience in the smart home contexts by conversation types. Based on two types of conversation (task-oriented vs. relationship-oriented conversations) and two types of utterance (preceding vs. response utterances), four different scenarios were designed for experimental study. A total of 62 participants were divided into two groups by utterance type, and exposed to two scenarios of the conversation types. Likeability, psychological reactance, and perceived intelligence were measured for the user experience of conversational agent. The result showed main effects of likeability in task-oriented conversations, and of psychological reactance in preceding utterances. The interaction effect demonstrated that preceding conversation improved the likeabilitty and perceived intelligence in the task-oriented conversations.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.357-362
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• 2023

This study aims to investigate the perception of pre-service early childhood teachers regarding play-oriented education through metaphorical analysis, in order to comprehend its meaning that pre-service early childhood teachers perceive. A questionnaire was used, which asked the participants to express play metaphorically and provide reasons for their choices. The collected data were analyzed using a systematic metaphorical analysis approach. The results revealed that the metaphorical expressions of pre-service early childhood teachers regarding play-oriented education were categorized as instructional methods being the most prominent, followed by environment, enjoyment/happiness, autonomy, growth and development, interactive relationships, child-directedness, the essence of life, interest, creativity, potential, variability, everyday life, ambiguity of beginnings and endings, naturalness, and others. Based on these findings, it is expected that one can attain insights regarding the methods of training pre-service early childhood teachers on how to implement play-centered education in the revised Nuri curriculum.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.257-266
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• 2024

This study analyzed the characteristics of each type of subjective perception of cabin crew by applying Q-methodology to understand the competencies required of airline cabin crew. As a result of analyzing 33 Q-samples and 33 P-samples using the Ken-Q Analysis program, four types were identified: "Physical strength and appearance quality-oriented", "job performance-oriented", "communication ability-oriented", and "job consciousness-oriented". Most types showed high agreement on physical factors, ability to cope with emergency situations and work responsibility. The results can be used as basic data to develop effective curriculum for airline training course and airline service majors, and it can be a reference material to help job seekers understand the job and cultivate necessary competencies.

• Korean Journal of Materials Research
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• v.4 no.4
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• pp.459-465
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• 1994

A-axis oriened YBCO thin flims were grown on $LaAIO_{3}$ single crystal substrate by off-axis rf magnetron sputtering method. We used two kinds of process to get a-axis oriented fi1ms;one-step process and two-step process. In one-step process, films are grown in single step in which substrate temperature( $T_s$) is in the range of $590^{\circ}C$ to $680^{\circ}C$. On the other hand, in two step process a-axis oriented thin film templates i f about 30nm thickness is deposited at low temperature first, and subsequently films are grown at elevated temperature to the final thickness of about 100nm. In the case of one step process($T_s$ ~)$600^{\circ}C$), prefered a-axis orientation is dominant and Cu-rich phases segregate at the surface. Segregations decrease and ($00 \ell$) peaks increase upon increasing $T_s$. The films prepared by two step method appeared to have strong(h00) peaks as the deposition rate increased. Microstructure shows pin holes resulted from mixed phases of a-axis and c-axis oriented films. In both cases of one step and two step process, as TS decreases, prepared films show stronger a-axis orientation. However electrical properties of the films are depressed with lower $T_c$ and wider $\Delta T$ as $T_s$ decreases.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.2
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• pp.483-503
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• 2014

In this paper, human action recognition using pyramid histograms of oriented gradients and collaborative multi-task learning is proposed. First, we accumulate global activities and construct motion history image (MHI) for both RGB and depth channels respectively to encode the dynamics of one action in different modalities, and then different action descriptors are extracted from depth and RGB MHI to represent global textual and structural characteristics of these actions. Specially, average value in hierarchical block, GIST and pyramid histograms of oriented gradients descriptors are employed to represent human motion. To demonstrate the superiority of the proposed method, we evaluate them by KNN, SVM with linear and RBF kernels, SRC and CRC models on DHA dataset, the well-known dataset for human action recognition. Large scale experimental results show our descriptors are robust, stable and efficient, and outperform the state-of-the-art methods. In addition, we investigate the performance of our descriptors further by combining these descriptors on DHA dataset, and observe that the performances of combined descriptors are much better than just using only sole descriptor. With multimodal features, we also propose a collaborative multi-task learning method for model learning and inference based on transfer learning theory. The main contributions lie in four aspects: 1) the proposed encoding the scheme can filter the stationary part of human body and reduce noise interference; 2) different kind of features and models are assessed, and the neighbor gradients information and pyramid layers are very helpful for representing these actions; 3) The proposed model can fuse the features from different modalities regardless of the sensor types, the ranges of the value, and the dimensions of different features; 4) The latent common knowledge among different modalities can be discovered by transfer learning to boost the performance.

• Journal of Electrical Engineering and Technology
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• v.9 no.5
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• pp.1511-1519
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• 2014

The objective of this paper is to propose a modelling of a small compressed air energy storage system, which drives an induction generator based on a field-oriented control (FOC) principle for a renewable power generation. The proposed system is a hybrid technology of energy storage and electrification, which is developed to use as a small scale of renewable energy power plant. The energy will be transferred from the renewable energy resource to the compressed air energy by reciprocating air compressor to be stored in a pressurized vessel. The energy storage system uses a small compressed air energy storage system, developed as a small unit and installed above ground to avoid site limitation as same as the conventional CAES does. Therefore, it is suitable to be placed at any location. The system is operated in low pressure not more than 15 bar, so, it easy to available component in country and inexpensive. The power generation uses a variable speed induction generator (IG). The relationship of pressure and air flow of the compressed air, which varies continuously during the discharge of compressed air to drive the generator, is considered as a control command. As a result, the generator generates power in wide speed range. Unlike the conventional CAES that used gas turbine, this system does not have any combustion units. Thus, the system does not burn fuel and exhaust pollution. This paper expresses the modelling, thermodynamic analysis simulation and experiment to obtain the characteristic and performance of a new concept of a small compressed air energy storage power plant, which can be helpful in system designing of renewable energy electrification. The system was tested under a range of expansion pressure ratios in order to determine its characteristics and performance. The efficiency of expansion air of 49.34% is calculated, while the efficiency of generator of 60.85% is examined. The overall efficiency of system of approximately 30% is also investigated.

• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1268-1295
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• 2018

This study examines the effects of policy mix on R&D efficiency in by using data from 2014 and 2016 Korean Innovation Survey. The DEA-Tobit analysis is used to estimate the impact of policy mix on relative R&D efficiency. As a result of the DEA analysis, the R&D efficiency of the Korean manufacturing industry firms is low, because the R&D investment has not been used effectively. According to the Tobit model, policy mix have a positive effect on R&D efficiency. In particular, the combination of market-oriented, market supply-oriented, and supply demand-oriented policy mix showed a positive relationship with R&D efficiency. R&D portfolio is necessary to improve R&D efficiencies and government has to facilitate a policy mix in view of the nature of firms and Consistency of policy tools.

• Journal of the Semiconductor & Display Technology
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• v.14 no.2
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• pp.29-34
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• 2015

Traffic lights are common in cities and are important cues for the path planning of intelligent vehicles. In this paper, we propose a robust and efficient algorithm for recognizing traffic lights from video sequences captured by a low cost off-the-shelf camera. Instead of using color information for recognizing traffic lights, a shape based approach is adopted. In learning and detection phase, Histogram of Oriented Gradients (HOG) feature is used and a cascade classifier based on Adaboost algorithm is adopted as the main classifier for locating traffic lights. To decide the color of the traffic light, a technique based on histogram analysis in HSV color space is utilized. Experimental results on several video sequences from typical urban environment prove the effectiveness of the proposed algorithm.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.4
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• pp.93-99
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• 2020

It seems to be increased rapidly that practical uses of intelligent Dron for public mission performance such as surveillance, prevention of disaster accident, relief etc with Dron technology development. Dron is needed for major technology realization of detection and trace technology of target, flight control and obstacle avoidance during flighting, detection and control of landing point functions to use smart safety-city platform construction. This dron system cause a great ripple effect technically and promote industrialization in the field of new technology. In this paper, an effective analysis and design method of dron system software will be presented by showing user requirement analysis using object-oriented method, flowchart and screen design.

• Journal of Information Technology Services
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• v.5 no.3
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• pp.121-135
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• 2006

With the growth and maturation of IT industry, the necessity of audit about development, maintenance and management of high-quality information system is gradually increasing. In addition, the necessity of inner auditing system, which could totally verify and evaluate the effectiveness of project according to the characteristics of organization conducting information-oriented business, also being proposed. Government offices including Korea Institute of Science and Technology(KISTI) collectively controlling nationwide science-technology related information have no guiding principle or organization within themselves even though performing information-oriented businesses are becoming more bigger and complicated. In this paper, we propose scheme for devising framework, which can audit construction and operation of knowledge information, check list and guideline. In addition, we present concrete ways for adapting these schemes to institutes which manage science-technology knowledge information. Audit framework consists of points of time in audit, audit domain and audit criterion. Points of time in audit are defined as three phases as followings: pre-audit, in-progress audit and post-audit. Audit domain includes 16 detail audit domains and especially we set 11 check items and 40 detail investigation items for database implementation business. We expect that management level of science-technology implementation business of organizations using this research result will increase and they could offer high-quality information service.