• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.1-18
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• 2020

Fine dust is one of the top ten causes of deaths globally. More than 95% of the world's population are endangered by it. However, as the fine dust problem is difficult to address immediately, people should be informed of its risk and prepared to deal with it. This study explores the methods used to define, efficiently provide, and manage the complementary relationships between various types of media providing risk information utilizing the competitive characteristics of media in niche theory. A survey consisting of 348 Korean university students was conducted over 12 days, to analyze three factors: consumer perception of fine dust, media usage, and media use gratification. The response value for media gratification was substituted in the equation to derive the niche breadth, niche overlap, and competitive superiority. It was found that 1) for providing fine dust forecast and fine dust response guidance information, a smartphone application was the most effective; 2) smartphone applications were limited in providing additional information such as the severity and origin of fine dust, and hence, it is necessary to establish the functionality of the Internet and TV to complement smartphone applications. Thus, a system considering the above should be developed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.1
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• pp.183-196
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• 2015

With widespread use of smart phones, SNS has been growing rapidly. Companies are required to do its utilization and a preemptive response. However, taking advantage of SNS is still insignificant in the companies. Compared with traditional marketing, people still consider the SNS marketing unfamiliar. This study is aimed at widening the breadth of understanding of marketing activity using SNS and inquiring into its effective applications. In an effort to achieve this research objective, first, this study analyzed the aspect of real applications by reviewing diverse practical business cases. Second, this study provided the momentum of the understanding of SNS marketing-based knowledge. The effective method of producing consumer-intimate products and services lies in customers' participation in development and production. SNS marketing is the very communication and gives ear to a customer's voice. Earnest and creative SNS marketing will play a role as a stepping-stone for businesses to move much closer to a customer.

• Korean Journal of Materials Research
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• v.33 no.5
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• pp.205-213
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• 2023

This paper reports the results of an experimental examination using X-rays to test annealing materials for lapped bearing steel (STB2), to confirm the validity of the weighted averaging analysis method. The distribution behavior for the α_𝜓-sin²𝜓 diagram and the presence or absence of differences in the peak method, half-value breadth method, and centroid method were investigated. When lapping the annealed bearing steel (STB2) material, a residual stress state with a non-directional steep gradient appeared in the surface layer, and it was found that the weighted averaging analysis method was effective. If there is a steep stress gradient, the sin²𝜓 diagram is curved and the diffraction intensity distribution curve becomes asymmetric, resulting in a difference between the peak method, half-value breadth method, and centroid method. This phenomenon was evident when the stress gradient was more than 2~3 kg/mm²/㎛. In this case, if the position of the diffraction line is determined using the centroid method and the weighted averaging analysis method is applied, the stress value on the surface and the stress gradient under the surface can be obtained more accurately. When the stress gradient becomes a problem, since the curvature of the sin²𝜓 diagram appears clearly in the region of sin²𝜓 > 0.5, it is necessary to increase the inclination angle 𝜓 as much as possible. In the case of a lapping layer, a more accurate value can be obtained by considering 𝜎₃ in the weighted averaging analysis method. In an isotropic biaxial residual stress state, the presence or absence of 𝜎₃ can be determined as the presence or absence of strain for sin²𝜓≈0.4.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.5
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• pp.173-180
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• 2014

In this research, we aim to analyze how different external knowledge search strategies of small and medium enterprises affect technological innovation. In particular, since there has been little comparison between Korean small and medium firms, we investigated the differences of the two groups by employing the "Korean Innovation Survey 2010." As a result, it was found that "external search breadth", which refers to expanding the spectrum of external knowledge search due to lack of resources and capabilities inside small firms, spurred technological innovation. On the other hand, "external search depth", which implies seeking a long-term and close relationship with the subjects that provide outside knowledge for medium firms, catalyzed technological innovation. These results emphasize that we need to separately analyze technological innovation of small and medium firms, which was, in most previous studies, viewed as one group, i.e. SMEs. In addition, the results can be, from the perspective of a firm's growth, interpreted as follows. That is, it is more effective to formulate a "diversity" pursuing strategy in the "small firm" stage where little time has passed since its establishment, whilst it is more useful to apply a "focus" strategy on sophisticated knowledge in the "medium firm" stage where a firm has grown to some extent.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.460-465
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• 2009

This paper presents a new algorithm that includes a mechanism to avoid local solutions in a motion vector detection method that uses the steepest descent method. Two different implementations of the algorithm are demonstrated using two major search methods for tree structures, depth first search and breadth first search. Furthermore, it is shown that by avoiding local solutions, both of these implementations are able to obtain smaller prediction errors compared to conventional motion vector detection methods using the steepest descent method, and are able to perform motion vector detection within an arbitrary upper limit on the number of computations. The effects that differences in the search order have on the effectiveness of avoiding local solutions are also presented.

• Journal of Technology Innovation
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• v.13 no.2
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• pp.45-70
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• 2005

Much work on innovation has focused on the manufacturing sector. In this paper, we propose a framework for analyzing innovation in services centred on capability and technology integration. We illustrate the theoretical points made by conducting a case study on an international telephone communications provider Brastel, which introduced significant innovations in international calling services, in the form of rechargeable pre-paid calling card, through effective application of standard IT. Brastel is situated against its main competitors, considering two dimensions of price and service breadth and convenience. A novel technique for measuring competitiveness based on price and service index is introduced. The following competitors were selected: NTT, KDDI, Japan Telecom, Fusion Communications, J-Call / World Link, G-Call, ASP Check, Primus, QuickPhone, and MCI. To create the service index, factors such as ease of use, convenience, number of languages in which the services are available, and additional features were taken into account. The company itself and the rechargeable card innovation were analyzed through in-depth interviews and data collection. It was shown that a competitive advantage was maintained through internal and external capabilities.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.6
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• pp.781-788
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• 1999

In this paper, an expert system is proposed, which can be effectively applied to the large-scale systems with the diversity time constraints, the objectives and the unfixed system structure. The inference scheme of the expert system have the integrated structure composed of the intuitive inference module and logical inference module in order to support effectively the operating constraints of system. The intuitive inference module is designed using the pattern matching or pattern recognition method in order to search a same or similar pattern under the fixed system structure. On the other hand, the logical inference module is designed as the structure with the multiple inference mode based on the heuristic search method in order to determine the optimal or near optimal control strategies satisfing the time constraints for system events under the unfixed system structure, and in order to use as knowledge generator. Here, inference mode consists of the best-first, the local-minimum tree, the breadth-iterative, the limited search width/time method. Finally, the application results for large-scale distribution SCADA system proves that the inference scheme of the expert system is very effective for the large-scale system. The expert system is implemented in C language for the dynamic mamory allocation method, database interface, compatability.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.4
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• pp.745-750
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• 2009

The goal of this study is to examine on reasoning and search for construction of diagnosis ontology as a knowledge base of diagnosis expert system in oriental medicine. Expert system is a field of artificial intelligence. It is a system to acquire information with diverse reasoning methods after putting expert's knowledge in computer systematically. A typical model of expert system consists of knowledge base and reasoning & explanatory structure offering conclusion with the knowledge. To apply ontology as knowledge base to expert system practically, consideration on reasoning and search should be together. Therefore, this study compared and examined reasoning, search with diagnosis process in oriental medicine. Reasoning is divided into Rule-based reasoning and Case-based reasoning. The former is divided into Forward chaining and Backward chaining. Because of characteristics of diagnosis, sometimes Forward chaining or backward chaining are required. Therefore, there are a lot of cases that Hybrid chaining is effective. Case-based reasoning is a method to settle a problem in the present by comparing with the past cases. Therefore, it is suitable to diagnosis fields with abundant cases. Search is sorted into Breadth-first search, Depth-first search and Best-first search, which have respectively merits and demerits. To construct diagnosis ontology to be applied to practical expert system, reasoning and search to reflect diagnosis process and characteristics should be considered.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.5
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• pp.877-889
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• 2006

This paper introduces a simple but effective method for recognizing vehicle models corresponding to each maker by information and images for moving vehicles. The proposed approach is implemented by combination of the breadth detection mechanism using the vehicle's pressure, exact height detection by a laser scanning, and license plate recognition for classifying specific vehicles. The implemented system is therefore capable of robust classification with real-time vehicle's moving images and established sensors. Simulation results using the proposed method on synthetic data as well as real world images demonstrate that proposed method can maintain an excellent recognition rate for moving vehicle models because of image acquisition by 2-D CCD and various image processing algorithms.

• Journal of KIISE:Computer Systems and Theory
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• v.31 no.5_6
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• pp.321-327
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• 2004

SPIHT algorithm is a wavelet based fast and effective technique for image compression. It uses a list structure to store status information which is generated during set-partitioning of toro-tree. Usually, this requires lots of additional memory depending on how high the bit-rate is. Therefore, in this paper, we propose a new technique called MZC-BFS, which needs no additional memory when running SPIHT algorithm. It explicitly performs a breadth first search of the spatial-tree using peano-code and eliminates additional memory as it uses pre-status significant test for encoding and LSB bits of some coefficients for decoding respectively. This method yields nearly the same performance as SPIHT. This may be desirable in fast and simple hardware implementation and reduces the cost of production because no lists and additional memory are required.