• The Journal of Economics, Marketing and Management
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• v.9 no.5
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• pp.1-13
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• 2021

Purpose: Purpose - This study investigates and aims to discuss regarding the employee's work stress and its relationship with employee's workability based on literature content analysis. Finally, this study will provide how employees can manage it and coexist while enjoying the benefits of a stress-free working environment. Research design, data, and methodology - The author collected many textual contexts from mostly peer-reviewed academic journals, which means that academic comprehensive integrity can be obtained by qualitative approach for this study with discussing and following a constructive review analysis. The content analysis aims to determine a textural dataset in the longtime frame from the newest textural information. Result - There is little doubt that this study was significant and relevant to the relationship between employee work stress and workability, indicating how organizations that manage their employees in a stress-free working environment. the present researcher separate the solutions into five categories according to the person or body responsible for the answers. Conclusion - The numerous solutions on how to deal with various stresses, the theoretical aspect of the solutions involving the theories developed by multiple past articles on how to solve work stress. In general, workability and work stress is a very large field of study. Another consideration is the numerous professionalisms in the world, and each has different ways stress is induced in the organization.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.238-240
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• 2002

If there is an Information Retrieval system which comprehends the semantic content of documents and knows the preference of users. the system can search the information better on the Internet, or improve the IR performance. Therefore we propose the IR model which combines semantic based indexing and fuzzy relevance model. In addition to the statistical approach, we chose the semantic approach in indexing, lexical chains, because we assume it would improve the performance of the index term extraction. Furthermore, we combined the semantic based indexing with the fuzzy model, which finds out the exact relevance of the user preference and index terms. The proposed system works as follows: First, the presented system indexes documents by the efficient index term extraction method using lexical chains. And then, if a user tends to retrieve the information from the indexed document collection, the extended IR model calculates and ranks the relevance of user query. user preference and index terms by some metrics. When we experimented each module, semantic based indexing and extended fuzzy model. it gave noticeable results. The combination of these modules is expected to improve the information retrieval performance.

• Journal of KIISE:Databases
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• v.33 no.4
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• pp.372-383
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• 2006

Among the approaches to image database management, content-based image retrieval (CBIR) is viewed as having the best support for effective searching and browsing of large digital image libraries. Typical CBIR systems allow a user to provide a query image, from which low-level features are extracted and used to find 'similar' images in a database. However, there exists the semantic gap between human visual perception and low-level representations. An effective methodology for overcoming this semantic gap involves relevance feedback to perform feature re-weighting. Current approaches to feature re-weighting require the number of components for a feature representation to be the same for every image in consideration. Following this assumption, they map each component to an axis in the n-dimensional space, which we call the metric space; likewise the feature representation is stored in a fixed-length vector. However, with the emergence of features that do not have a fixed number of components in their representation, existing feature re-weighting approaches are invalidated. In this paper we propose a feature re-weighting technique that supports features regardless of whether or not they can be mapped into a metric space. Our approach analyses the feature distances calculated between the query image and the images in the database. Two-sided confidence intervals are used with the distances to obtain the information for feature re-weighting. There is no restriction on how the distances are calculated for each feature. This provides freedom for how feature representations are structured, i.e. there is no requirement for features to be represented in fixed-length vectors or metric space. Our experimental results show the effectiveness of our approach and in a comparison with other work, we can see how it outperforms previous work.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.230-240
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• 2022

Sharing of online videos via internet is an emerging and important concept in different types of applications like surveillance and video mobile search in different web related applications. So there is need to manage personalized web video retrieval system necessary to explore relevant videos and it helps to peoples who are searching for efficient video relates to specific big data content. To evaluate this process, attributes/features with reduction of dimensionality are computed from videos to explore discriminative aspects of scene in video based on shape, histogram, and texture, annotation of object, co-ordination, color and contour data. Dimensionality reduction is mainly depends on extraction of feature and selection of feature in multi labeled data retrieval from multimedia related data. Many of the researchers are implemented different techniques/approaches to reduce dimensionality based on visual features of video data. But all the techniques have disadvantages and advantages in reduction of dimensionality with advanced features in video retrieval. In this research, we present a Novel Intent based Dimension Reduction Semi-Supervised Learning Approach (NIDRSLA) that examine the reduction of dimensionality with explore exact and fast video retrieval based on different visual features. For dimensionality reduction, NIDRSLA learns the matrix of projection by increasing the dependence between enlarged data and projected space features. Proposed approach also addressed the aforementioned issue (i.e. Segmentation of video with frame selection using low level features and high level features) with efficient object annotation for video representation. Experiments performed on synthetic data set, it demonstrate the efficiency of proposed approach with traditional state-of-the-art video retrieval methodologies.

• The Journal of the Acoustical Society of Korea
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• v.28 no.7
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• pp.674-679
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• 2009

This paper proposes a method of player event retrieval using combination of two functions: detection of player name in speech information and detection of sound event from audio information in golf videos. The system consists of indexing module and retrieval module. At the indexing time audio segmentation and noise reduction are applied to audio stream demultiplexed from the golf videos. The noise-reduced speech is then fed into speech recognizer, which outputs spoken descriptors. The player name and sound event are indexed by the spoken descriptors. At search time, text query is converted into phoneme sequences. The lists of each query term are retrieved through a description matcher to identify full and partial phrase hits. For the retrieval of the player name, this paper compares the results of word-based, phoneme-based, and hybrid approach.

• Journal of The Korean Association For Science Education
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• v.40 no.2
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• pp.141-150
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• 2020

The purpose of this study is to critically review the skill-based approach to scientific inquiry in science education and to explore the meaning of science practices that are emphasized in recent science education reform movement. An extensive review of relevant literature was carried out, and the results were summarized according to the detailed themes of the study. In the skill-based approach of which Science-A Process Approach (SAPA) is a representative example, science process skills were presented as hierarchically connected with one another, they were believed to be transferable or generalizable, and science learning through discovery was stressed. These points of view are, however, contradicted with those of the modern philosophy of science which suggests the theory-laden nature of using the skills. The skill-based view has also been criticized by the fact that the use of inquiry skills is content-specific or context-dependent and that science theories or principles cannot be discovered by induction. In contrast, the recent view understands science practices holistically, emphasizes the diverse ways of doing the practices which vary with different contents or contexts, and considers student ideas importantly in the science classroom. The findings of this study can contribute to the development of a new science curriculum by providing implications for establishing a consistent view on scientific inquiry.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.2
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• pp.119-128
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• 2013

Korean entrepreneurship education has been focused on the subject selection and curriculum based research according to the stage of entrepreneurship process. But problem is happen in the theory based lecture and unrealistic content of entrepreneurship education. Recent studies in technology entrepreneurship recommend integrated approaches to educating students to operate in this space integrated programs span disciplinary lines, but more important, they combine coursework on fundamental concepts and processes with real team-based projects on technology commercialization. At the core of TI:GER(R) is a three-course academic track that provides instruction in technology commercialization processes with a focus on intellectual property/technology law and business fundamentals. Technology, management, and law are the key success content of entrepreneurship education and we need the approach the integration of these factors.

• Human Ecology Research
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• v.60 no.3
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• pp.359-376
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• 2022

Based on an ecological model of teacher agency, the purpose of this study was to examine the relevance of HE (home economics) subjects and CSE (comprehensive sexuality education) for HE teachers, and their implementation in HE classes. To achieve this, a survey was conducted with HE teachers nationwide for which 243 responses were collected, and interviews were conducted with five HE teachers who were actively practicing CSE. The results of the survey and interview were as follows. First, HE teachers strongly recognized the relevance of HE subjects and the topic of CSE with an average score of 4.63 (out of 5 points), and practiced CSE at an average of 72.23% (97.12%~43.21%) in their class. Second, based on the ecological approach model of teacher agency, the factors facilitating the CSE practice of HE teachers included: childbirth and parenting experienced as parents, experiences of students encountering sexual problems in school, the philosophy and content of HE subjects, positive feedback from students and support from fellow teachers, and intention to help students in their lives. Conversely, HE teachers cited a lack of sexual education experience as learners, complaints from parents, weakness of HE teacher networks, lack of specific statements in curriculum and textbooks, insufficient class content and teacher training, and lack of absolute class time. This study is significant in revealing that CSE is highly relevant to the contents of HE subjects and is already being practiced in HE classes.

• Computers and Concrete
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• v.23 no.1
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• pp.69-80
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• 2019

Modeling approach for mesoscopic model of concrete depicting mass transportation and physicochemical reaction is important since there is growing demand for accuracy and computational efficiency of numerical simulation. Mesoscopic numerical simulation considering binder, aggregate and Interfacial Transition Zone (ITZ) generally produces huge number of DOFs, which is inapplicable for full structure. In this paper, a three-dimensional multiscale approach describing three-phase structure of concrete was discussed numerically. An effective approach generating random aggregate in polygon based on checking centroid distance was introduced. Moreover, ITZ elements were built by parallel expanding the surface of aggregates on inner side. By combining mesoscopic model including full-graded aggregate and macroscopic model, cases related to diffusivity and thickness of ITZ, volume fraction and grade of aggregate were studied regarding the consideration of multiscale compensation. Results clearly showed that larger analysis model in multiscale model expanded the diffusion space of chloride ion and decreased chloride content in front of rebar. Finally, this paper addressed some worth-noting conclusions about the chloride distribution and rebar corrosion regarding the configuration of, rebar diameter, concrete cover and exposure period.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.311-317
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• 2022

The research is devoted to the substantiation of the system approach to the involvement of digital marketing tools as a guarantee of international business development. It is proved that digital marketing, as a type of marketing based on the use of digital technologies allows to make a profit, to promote the brand, as well as goods and services in the market. The digital marketing toolkit system is a set of elements with existing relationships that ensure the effectiveness of the entire digital marketing, which in total is greater than its individual components. The implementation of a systems approach involves the implementation of the philosophy of digital marketing in general, its functions in the form of systems analysis, formation of strategic development goals and entry and promotion in the international market, preparation and implementation of tactical and strategic development plans.The use of such digital marketing tools as: content marketing, social media marketing, Email-marketing, targeted advertising, contextual advertising, media advertising, Search Engine Optimization, affiliate programs and the company's website is analyzed in detail.