• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.73-83
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• 2014

This paper is to analyse how Industree Crafts, social enterprise in the field of crafts, could generate profit and create a sustainable growth for the last 30 years out of dependence on government grants in India. Success factors was drawn from the findings as follows. First, bringing stakeholder value: it preferred social mission as a goal for generating the value of stakeholders respectively and shared value mutually. Second, building distinctive internal business processes: it adapted unique business model and 4P strategy into its internal organization system and introduced the way of management to support the independence of self-help groups aimed at creating greater added value. Third, promoting learning and innovation culture: it challenged with the help of new design strategies continuously, was unafraid of change, and promoted learning culture to turn trial and error into the organization learning. Finally fourth, securing right finances and resources: it obtained proper finances and resources such as trying joint-sale, attracting investment from a private company, and acquiring enough skilled artisans at every scaling up.

• Journal of Korean Elementary Science Education
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• v.25 no.3
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• pp.257-270
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• 2006

The purpose of this study was to develop elementary students' ability to generate hypothesis knowledge through knowledge generation learning in science. The learning program consisted of a series of 28 activities to generate hypotheses in science. Eighty 6th grade students participated in the study and were divided into experimental and control groups. The experimental group was administered a program geared towards hypothesis generation learning and the control group was administered a program aimed at hypothesis expository learning in elementary science. After using the respective programs, subjects in both groups were tested in terms of their abilities in abductive knowledge generation and administered a descriptive self-report regarding their generation of hypotheses. Two of the 28 activity program worksheets in the experimental group were analyzed in terms of the quality and process of students' hypothesis generation. The results were as follows: 1) The experimental group showed significantly higher scores in terms of scientific knowledge generation (i.e. abductive knowledge generation) than the control group. 2) The degree of hypothesis explanation in the experimental group was significantly higher than in the control group in terms of the quality of the generated hypotheses. In addition, students in the experimental group generated more varied and valid knowledge than the control group in terms of sub-knowledge of hypothesis generation. Therefore, it can be argued that this program for hypothesis knowledge generation in elementary science students was effective in the generation of hypothesis knowledge.

• Journal of Ocean Engineering and Technology
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• v.26 no.1
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• pp.78-83
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• 2012

The abundant nutrients contained in deep seawater are delivered by natural upwellings from the deep sea to the surface sea. However, the natural upwelling phenomenon is limited to specific areas of the sea; in other areas, the thermocline separates the surface sea from the lower layer. Thus, the surface layer is often deficient in nutritive salts, causing the deterioration of its primary productivity and ultimately leading to an imbalance in the marine ecosystem. Without a consistent supply of nitrogenous nutritive salts, they are absorbed by phytoplankton, resulting in a considerable problem in primary productivity. To solve this issue, a floating type of artificial upwelling system is suggested to artificially pump up, distribute, and diffuse deep seawater containing rich nutritive salts. The key technologies for developing such a floating artificial upwelling system are a floating offshore structure with a large diameter riser, self-supplying energy system, density current generating system, method for estimating the emission and absorption of CO2, and way to evaluate the primary production variation. Strengthening the primary production of the sea by supplying deep seawater to the sea surface will result in a sea environment with abundant fishery resources.

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.199-204
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• 2019

This study was designed to identify the expected effects and implications of STEAM education using open source-based knitwear to be designed as an open source task in the future by analyzing the current status, trends and case studies of domestic and foreign STEAM education using open source widely used in various fields. As a research method, the theoretical examination was conducted based on the literature research, and the current status and trend of STEAM education using open source at home and abroad were investigated and analyzed. As a result, the social interest in STEAM education using open source was confirmed to be increasing, and the education was designed for the purpose of generating interest, self directed learning ability, and creative thinking development, and the positive effects of the education were visible. Based on these implications, the expected effects of using an open source made knitter are presented and the design direction and significance of the STEAM training to be designed in the future are reviewed.

• Journal of Korea Multimedia Society
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• v.9 no.3
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• pp.369-376
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• 2006

In this paper, we propose an improved fuzzy RBF network which dynamically adjusts the rate of learning by applying the Delta-bar-Delta algorithm in order to improve the learning performance of fuzzy RBF networks. The proposed learning algorithm, which combines the fuzzy C-Means algorithm with the generalized delta learning method, improves its learning performance by dynamically adjusting the rate of learning. The adjustment of the learning rate is achieved by self-generating middle-layered nodes and by applying the Delta-bar-Delta algorithm to the generalized delta learning method for the learning of middle and output layers. To evaluate the learning performance of the proposed RBF network, we used 40 identifiers extracted from a container image as the training data. Our experimental results show that the proposed method consumes less training time and improves the convergence of teaming, compared to the conventional ART2-based RBF network and fuzzy RBF network.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.2C
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• pp.162-171
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• 2003

It is difficult to reuse the captured motion data, because the data has a difficulty in editing it. In this paper, a uniform posture mar (UPM) algorithm, one of unsupervised learning neural network is proposed to edit the captured motion data. Because it needs much less computational cost than other motion editing algorithms, it is adequate to apply in teal-time applications. The UPM algorithm prevents from generating an unreal posture in learning phase. It not only makes more realistic motion curves, but also contributes to making more natural motions. Above of all, it complements the weakness of the existing algorithm where the calculation quantity increases in proportion to increase the number of restricted condition to solve the problems of high order articulated body. In this paper, it is shown two applications as a visible the application instance of UPM algorithm. One is a motion transition editing system, the other is a inductive inverse kinematics system. This method could be applied to produce 3D character animation based on key frame method, 3D game, and virtual reality, etc.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.2C
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• pp.112-118
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• 2011

In this paper, we conduct an objective performance analysis of the crosstalk cancellation scheme studied in [11]. While the conventional scheme is only applicable to a listener on the optimal listenable region (sweetspot), the space skew/crosstalk cancellation (SS/CC) scheme in [11] can mitigate crosstalk regardless of the listener's position by using listener position tracking (LPT) system. The SS/CC scheme is composed of two parts: LPT-based SS and CC parts. In this paper, the SS/CC scheme is evaluated by some criteria such as follows: condition number, and the balance characteristic, its root mean square error, and running average.

• Management & Information Systems Review
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• v.25
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• pp.243-273
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• 2008

A new research paradigm is emerging within organizational behavior, in both theory and empiricism, based on the increasing recognition of the importance of emotions to organizational life. This paper suggest that emotion intelligence play a moderate variables in relationship of emotion labor and emotional exhaustion. More specifically, it is proposed that emotional intelligence, the ability to understand and manage emotions in the employee self and others, contribute to effective emotions management in organizations. Four major aspects of emotion labor, appraisal and expression of emotion in oneself, appraisal and recognition of emotion in others, regulation of emotion in oneself and use of emotion to facilitate performance, are described. Also, the emotional intelligence are consists of four aspects, frequency of appropriate emotional display, attentiveness to required displayed rules, variety of emotions to be displayed and emotional dissonance. Then I propose how emotional intelligence contributes to of relations the emotion labor and emotional exhaustion. The purpose of this research is to investigate the impact of emotion labor to employee's emotional exhaustion to explore the moderating effects of the emotional intelligence between the emotion labor and emotional exhaustion. To complete the research the data were collected through a questionnaire from 147 employees from service company. After multi-hierarchical regression analysis, the outcomes of this study are the employee's emotional exhaustion are affected negatively by the three factors: major aspects of emotion labor, regulation of emotion in oneself, use of emotion to facilitate performance, make the moderation effect between emotion labor and emotional intelligence. These results indicate that instilling in others an appreciation of the importance of work activities: encouraging of true expression individual emotions, generating and maintaining well emotional climate and cooperation situations, and managing a meaningful environment for an organizational life.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.4
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• pp.676-682
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• 2018

In wireless sensor networks, we propose an optimization algorithm in order to minimize the consumed energy of nodes for maritime search and rescue. In the marine environment, search and rescue operations are mainly performed on the surveillance side and passively on the rescued side. A self-configurable wireless sensor network can build a system that can send rescue signals in the operations. A simulated annealing algorithm is proposed to minimize the consumed energy of nodes in the networks with many nodes. As the density of nodes becomes higher, the algorithmic computation will increase highly. To search the good result in a proper execution time, the proposed algorithm proposes a new neighborhood generating operation and improves the efficiency of the algorithm. The proposed algorithm was evaluated in terms of the consumed energy of the nodes and algorithm execution time, and the proposed algorithm performed better than other optimization algorithms in the performance results.

• Journal of Mushroom
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• v.16 no.4
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• pp.239-249
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• 2018

The global mushroom industry has grown rapidly in recent years in terms of beneficial effects, market value, and demand. India has a wide range of agro-climatic conditions and is largely an agricultural country with a cultivated area of about 4.37 %, generating about 620 million tons of agro waste annually. Mushroom cultivation not only helps recycle agro wastes, but also fills the nutritional gap prevalent among a large population of India. Recently, government industrial policy and creative innovation has promoted research and other endeavors aiming towards the cultivation of mushrooms. Mushroom cultivation in India was initiated in Solan, in the mid-sixties. Mushroom cultivation has been successful in temperate regions of the Himalayas, the Western Ghats, and the hills of northeast India. Recently, many unemployed people have begun to adopt mushroom cultivation as a means of self-employment. It is high time that Indian mushroom cultivators and consumers became aware of the nutritional and medicinal values of cultivated and wild species of mushrooms. The total mushroom production in India between 2010 and 2017 was approximately 0.13 million tons, accounting for a 4.3% increase in the average growth rate of mushrooms per annum. In particular, the total production of white button mushrooms is the highest, with a share of about 73% of total mushroom production. In this review article, we have analyzed the current scenario of the Indian mushroom industry and its contribution to the economic growth of the country.