• Journal of Digital Convergence
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• v.9 no.2
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• pp.41-52
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• 2011

This paper alms to examine the impact of R&D organization culture to Technology Innovation in Small and Medium Enterprises. Hypotheses were tested by surveying 250 employees at R&D Gumi Industrial Complex. We conducted exploratory factor analysis for four constructs (diversity, autonomy, connectivity and flexibility) using oblique rotation method that did not assume independence among the factors and main factors of organizational culture in R&D organization were grouped together by four factors. The results of this study are as followings; First, three factors of R&D organizational culture had a significant positive effect on the product innovation and except autonomy. Second, two factors of R&D organizational culture had a significant positive effect on the process innovation except autonomy and flexibility. it is shown reliable criterion to effective organizational management for successful Technology Innovation in small and medium enterprises.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.101-112
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• 2020

This study aims to discuss the current status of the ride-sharing platform industry, which embodies the core values of the 4th Industrial Revolution, sharing and connectivity, as well as economic, industrial, and legal issues. To understand the position of competing groups, the research conducted extensive literature reviews on domestic and international cases of technical and legal issues of the sharing economy. The result indicates that the ride sharing industry showed the economy of synthesis in which production, supply, distribution, and consumption are on one platform. It made possible to share values to users and synthesize them with new services through easy-access mobile application technology. To resolve the conflicts between the taxi industry and the ride sharing industry, this study suggests the following: Ride-sharing companies should make contributions to provide legitimate services. The taxi industry needs to understand the value of the new industry and consumers who chose the shared platform service. The significance of the current study is that it proposed a comprehensive analysis and policy direction toward the issue of balance between public and private interests and legal stability.

• Journal of Digital Contents Society
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• v.8 no.4
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• pp.491-497
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• 2007

RPersonal area networking technology is becoming increasingly important in enabling useful wireless home applications. For example, Bluetooth and IEEE 802.11b standards are the most commonly deployed technologies for wireless home applications. However, because both standards share the same unlicensed ISM (Industrial, Scientific, Medical) radio spectrum, severe interference is inevitable and performance can be impaired significantly when heterogeneous devices using the two technologies come into close proximity. In this paper, we research Gaussian FSK Bluetooth system, which is an open specification technology for short-range wireless connectivity between electronic devices. In this paper, we analyzes the effects of co-channel interference on the performance of a Gaussian FSK Bluetooth system. Performance criteria used in the study are the signal to interference power ratio (SIR), interference index, and the bit error rate (BER) in the wireless channel. The effect of co-channel interference from various sources on the performance of a Gaussian FSK Bluetooth system is analyzed using an IGA(Impulsive Gaussian Approximation) method, and these quantities are plotted against Eb/No, $\rho$ and SIR for various channel conditions in figures.

• Journal of Korea Water Resources Association
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• v.35 no.4 s.129
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• pp.345-358
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• 2002

The flow apportioning algorithms with digital elevation models have been developed to reflect reasonable flow divergence properties but they showed several defects related to the connectivity of channel cells, various divergence features along to local topography and channel cells' size etc. Topographic data used by existing flow apportioning algorithms are flow accumulation area and local slope. However, the size and location of channel cells which play the dominant role in the flow pathway were not properly considered. Therefore, a new flow apportioning algorithm considering various flow divergence characteristics in the complicate terrain is proposed. The GA optimization scheme is used to represent the location and scale of the channel pixel. Improved result can be obtained by using both a new flow apportioning algorithm and optimization.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.51-62
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• 2021

This study developed the factors capable of systematic/comprehensive evaluation of the task performance in order to strengthen the performance management of the professional career personnel invitation program (PCPIP). To this end, a performance evaluation framework was developed by analyzing existing project evaluation studies based on boundary theory and Kirkpatrick's four-level evaluation model. Afterwords, through two Delphi surveys, evaluation factors that can measure performance in terms of individual and invitation institutions of PCP were derived and validated. With this procedure, five evaluation factors were finally selected: adaptability, connectivity, clarity, compatibility, and expandability. This study has implications suggesting a performance evaluation factors capable of hybrid quantitative/qualitative evaluation for the performance management of PCPIP operated by National Research Foundation of Korea Research since 1994.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.25-33
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• 2019

Recently, universities have been strengthening software basic education to be active in the era of the fourth industrial revolution. Non-majored students need a variety of teaching methods because they have low knowledge of programming or a lack of connectivity with major courses. Therefore, in this paper, a learning model applying the step-by-step blind programming practice based on the Demonstration Modeling Making model was designed and applied to the actual lecture. As a result of analyzing the problem solving ability of the learner, it was confirmed that the learner's self - solving ratio increased as parking progressed. In the following study, it is necessary to analyze the learner's learning results in various aspects and to study effective teaching methods according to the difficulty of the learning contents.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.211-216
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• 2021

Information from various heterogeneous devices is steadily increasing in distributed cloud environments. This is because high-speed network speeds and high-capacity multimedia data are being used. However, research is still underway on how to minimize information errors in big data sent and received by heterogeneous devices. In this paper, we propose a deep learning-based asymmetric storage management technique for minimizing bandwidth and data errors in networks generated by information sent and received in cloud environments. The proposed technique applies deep learning techniques to optimize the load balance after asymmetric hash of the big data information generated by each device. The proposed technique is characterized by allowing errors in big data collected from each device, while also ensuring the connectivity of big data by grouping big data into groups of clusters of dogs. In particular, the proposed technique minimizes information errors when storing and managing big data asymmetrically because it used a loss function that extracted similar values between big data as seeds.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.61-68
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• 2022

This study examines the impact of consumers' subjective perception on the quality loyalty of the Internet of things, explores academic innovation schemes, and puts forward business strategies for on-site optimization of the industry. The research methods use online survey methods for Chinese consumers who have used or bought Xiaomi IoT products. The results show that the inherent attributes of Internet of things products have an impact on brand image, and brand image has an impact on customer loyalty. Brand image shows complete media effect in the relationship between hyper-connectivity and customer loyalty of Internet of things products. For the enterprises that develop the Internet of things, obtaining the perceived brand image has a very important strategic significance in expanding the loyal customer base.

• 한국정보통신설비학회:학술대회논문집
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• 2002.08a
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• pp.199-207
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• 2002

A virtual laboratory for measurement and instrumentation must aim to realize an integrated environment. To achieve this goal, we designed and implemented a client/server distributed environment and developed a web-based virtual laboratory system for electronic circuits. Since our virtual laboratory system is implemented to describe the on-campus laboratory, the learners can obtain similar experimental data through it. The proposed virtual laboratory system is composed of four important components Principle Classroom, Virtual Experiment Classroom, Evaluation Classroom and Overall Management System. Through our virtual laboratory, the learners will be capable of teaming the concepts and theories related to electronic circuit experiments and how to operate the experimental equipments such as multimeters, function generators, digital oscilloscopes and DC power supplies. Also, every activity occurred in our virtual laboratory is recorded on database and Printed out on the preliminary report form. All of these can be achieved by the aid of the Management System. The database connectivity is made by PHP and the virtual laboratory environment is set up slightly differently for each learner. Finally, we have obtained several affirmative effects such as reducing the total experimental hours and the damage rate for experimental equipments and increasing Loaming efficiencies as well as faculty productivity.

• Journal of Multimedia Information System
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• v.1 no.1
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• pp.11-22
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• 2014

This work discusses and evaluates the use of wireless and multi-sensor based technologies to develop UbiqBIOPARC, a new generation zoological park that has been created based on the zoo-immersion concept. It offers appropriate contextual information to zoo visitors, depending on their preferences and the environment in which they are positioned. It combines the flexibility of the iPhone SDK, the connectivity provided by 3G technologies, the location capabilities of GPS, and the orientation offered by a digital compass integrated in the device. In this document the overall architecture and the implementation steps followed to create this context-aware application are presented. We compare our system with respect to previous ones and demonstrate that UbiqBIOPARC is an example of how innovative context-aware applications can be built with the aid of GPS and compass features. Several real experiments have been carried out in order to evaluate performance and system behavior, and numerical results demonstrate the practicality offered by our application, while providing a quite reasonable performance in terms of delay, usability, and energy efficiency.