본 연구는 미얀마 양곤 도심의 쇼핑몰 4곳에서 근무하는 523명의 구성원을 대상으로 정치적 기술이 리더-부하 교환관계(LMX)를 통해 개인성과에 미치는 영향을 검증하였다. 또한, 이 관계에서 팀 내 조언 네트워크 내향중심성의 조절된 매개효과를 분석하였다. 연구 결과, 정치적 기술은 LMX와 정(+)의 관계를 보였으며, LMX는 개인성과와 정(+)의 관계를 나타냈다. 정치적 기술은 LMX를 매개로 개인성과에 정(+) 의 관계가 있음을 보여줬다. 또한, 팀 내 조언 네트워크 내향중심성은 LMX와 개인성과 간의 관계를 정 (+)의 방향으로 조절하였으며, 정치적 기술이 LMX를 통해 개인성과에 미치는 매개효과를 강화하는 것으로 나타났다. 본 연구는 정치적 기술이 개인성과에 미치는 과정을 사회적 교환이론과 자원보존이론을 바 탕으로 설명하였다. 또한, 팀 내 수직적·수평적 관계를 통한 자원 획득의 중요성을 강조하였다. 이러한 결과는 조직 내 정치적 기술의 개발과 네트워크 형성의 중요성에 대한 실무적 시사점을 제공한다.

Liquefied hydrogen is attracting attention as an energy source of the future due to its hydrogen storage rate and low risk. However, the disadvantage is that the unit price is high due to technical difficulties in production, transportation, and storage. This study was conducted to improve the design accuracy and development period of needle valves, which are important parts with a wide technical application range among liquefied hydrogen equipment. Since the needle valve must discharge an appropriate flow rate of the liquefied fluid, it is important to determine the needle valve design parameters suitable for the target flow rate. Computational Fluid Dynamics and Artificial Neural Network technology used to determine the design variables of fluid flow were applied to improve the setting and analysis time of the parameter. In addition, procedures and methods for applying the design parameter of needle valves to Convolutional Neural Networks were presented. The procedure and appropriate conditions for selecting parameters and functional conditions of the Convolutional Neural Network were presented, and the accuracy of predicting the flow coefficient according to the design parameter was secured 95%. It is judged that this method can be applied to other structures and machines.

본 연구는 장애노인을 대상으로 장애수용과 성공적 노화의 관계에서 자기효능감과 사회적관계망의 매개효과를 검증하는 것이다. 이를 위하여 A시의 65세 이상 장애노인에게 면접식 설문조사를 실시하여 총 220부를 분석에 활용하였다. 자료분석은 SPSS 21.0 통계프로그램을 사용하여 기술 통계분석, 각 변인 간 상관관계분석, 자기효능감과 사회적관계망의 매개 효과를 알아보기 위한 위계적 회귀분석을 실시하였다. 주요 연구결과는 다음과 같다. 첫째, 장애수용은 성공적 노화에 유의미한 영향을 미치는 것으로 나타났다. 둘째, 장애수용과 성공적 노화의 관계에서 자기효능감 의 매개효과가 통계적으로 유의하게 나타났다. 셋째, 장애수용과 성공적 노화의 관계에서 사회적 관계망의 매개효과가 통계적으로 유의하게 나타 났다. 이러한 결과를 통해 장애노인의 장애수용을 높임으로써 성공적 노 화를 촉진할 수 있고, 장애수용 수준이 낮더라도 자기효능감과 사회적 관계망을 다양한 경로로 활용한다면 성공적 노화를 높일 수 있음을 확인 하였다. 이러한 통합적 경로확인을 바탕으로 장애노인의 성공적 노화를 높일 수 있는 다양한 방법을 모색하였다.

The information products dramatically reduce the production costs of vertically differentiated products. Information products are also more likely to be affected by network externalities. Thus the proliferation of digital products is increasing the interests in network externality and vertical product differentiation. In step with this trend, the impact of network externalities on price competition in vertically differentiated markets has been continuously studied. Existing studies related to this topic have assumed that network externalities increase consumers' willingness to pay per unit quality. The results show that higher quality products are affected more by network externality. However, network externality is essentially a concept affected by the size of the consumer, not a concept associated with quality. In this work, unlike previous studies, we present a new market model that reflects the essential definition of network externality. Based on the proposed market model, we derive both simultaneous and sequential Nash equilibria and analyze them numerically. The main results obtained from the analysis can be summarized as follows. First, network externalities primarily increase the demand for low-quality products and have a secondary impact on the demand for high-quality products. Second, the larger the quality difference between products, the more profitable they are. It also has been shown that sequential pricing methods are more advantageous in terms of revenue than simultaneous pricing method.

본 연구의 목적은 노인의 건강상태와 삶의 만족도 관계에서 자아존중감과 사회적 관계망의 매개효과를 검증하여, 노인의 삶의 만족도를 향상시키기 위한 실천적 방안 마련과 실증적 기초자료를 제공함에 있다. 연구의 대상은 서울, 인천, 경기지역에 소재하고 있는 노인복지관, 노인회관, 경로당 이용 노인과 지역사회 거주 노인 405명을 대상으로 하였다. 수집된 자료는 SPSSWIN 24.0과 AMOS24.0 프로그램을 사용하여 분석하였으며, 연구의 결과는 첫째, 노인의 건강상태는 삶의 만족도에 유의한 정적인 영향을 미치는 것으로 나타났다. 둘째, 노인의 건강상태는 자아존중감과 사회적 관계망에 유의한 정적인 영향을 미치는 것으로 나타났다. 셋째, 노인의 자아존중감과 사회적 관계망은 삶의 만족도에 유의한 정적인 영향을 미치는 것으로 나타났다. 넷째, 자아존중감과 사회적 관계망은 노인의 건강상태와 삶의 만족도 간의 관계에서 매개역할을 하는 것으로 나타났다. 이상의 연구결과에서 노인의 건강상태는 자아존중감과 사회적 관계망을 매개로 노인의 삶의 만족도 수준을 높일 수 있는 중요한 변인임을 확인하였다.

Network externalities are essentially dynamic in that the value consumers feel about a product is affected by the size of the existing customer base that uses that product. However, existing studies on network externalities analyzed the effects of network externalities in a static way, not dynamic. In this study, unlike previous studies, the impact of network externalities on price competition in a vertically differentiated market is dynamically analyzed. To this end, a two-period duopoly game model was used to reflect the dynamic aspects of network externalities. Based on the game model, the Nash equilibria for price, sales volume, and revenue were derived and numerically analyzed. The results can be summarized as follows. First, if high-end product has strong market power, the high-end product vendor takes almost all benefits of the network externality. Second, when high-end product has strong market power, the low-end product will take over most of the initial sales volume increase. Third, when market power of high-end product is not strong, it can be seen that the effects of network externalities on the high and low-end products are generally proportional to the difference in quality. Lastly, if there exists a strong network externality, it is shown that the presence of low-end product can be more profitable for high-end product vendor. In other words, high-end product vendor has incentive to disclose some technologies for the market entrance of low-end product, even if it has exclusive rights to the technologies. In that case, however, it is shown that the difference in quality should be maintained significantly.

This study aimed to test a convolutional neural network (CNN) in two different settings of training and testing data. Panoramic radiographs were selected from 1170 female dental patients (mean age 49.19 ± 21.91 yr). The cortical bone of the mandible inferior border was evaluated for osteoporosis or normal condition on the panoramic radiographs. Among them, 586 patients (mean age 27.46 ± 6.73 yr) had normal condition, and osteoporosis was interpreted on 584 patients (mean age 71.00 ± 7.64 yr). Among them, one data set of 569 normal patients (mean age 26.61 ± 4.60 yr) and 502 osteoporosis patients (mean age 72.37 ± 7.10 yr) was used for training CNN, and the other data set of 17 normal patients (mean age 55.94 ± 4.0 yr) and 82 osteoporosis patients (mean age 62.60 ± 5.00 yr) for testing CNN in the first experiment, while the latter was used for training CNN and the former for testing CNN in the second experiment. The error rate was 15.15% in the first experiment and 5.14% in the second experiment. This study suggests that age-matched training data make more accurate testing results.

통합과 포용력이 사회의 주요한 이슈로 부각되면서, 사회적 약자인 노년층과 저소득 계층의 여가 활동을 충족시키는 도시계획시설에 대한 역할이 주목받고 있다. 본 연구는 노원구 △△영구임대주택 거주민을 대상으로 옥외활동 시설에 대한 이용 실태와 주요 공간 이용에 따른 사회적 관계망 형성 효과를 분석하였다. 분석은 빈도, t-분석 그리고 사회연결망 분석 방법을 활용하였다. 분석결과, 단지 내 공간 및 시설이용 빈도는 복지관(36.9%), 나팔공원(17.9%), 텃밭(10.2%)의 순으로 나타났으며, 1인이 교류하는 이웃의 수는 텃밭(13.44명), 나팔공원(6.47명), 복지관(5.13명) 이용자의 순으로 나타났다. 특히, 텃밭 이용자는 이웃 간 교류의 범위가 가장 넓게 나타났으며, 다양한 그룹을 통해 정보의 교류가 활발히 일어나고 있었다. 관계의 질적 수준 역시 일반적인 교류의 수준을 넘어 정보 교류 및 문제 발생 시 적극적으로 도움을 주고받는 상호 부조의 관계를 유지하는 것으로 확인되었다. 반면 산책, 휴식, 운동 등의 여가 활동이 이루어지는 나팔공원과 교육 활동이 제공되는 복지관의 경우 이용자들 간 교류의 범위가 좁고 집중화된 정도가 소수 그룹에 한정되었다. 본 연구는 영구임대주택에 거주하는 취약계층을 대상으로 주민들의 자발적인 교류와 지속적인 옥외활동을 촉진하는 공간 및 시설에 대한 사회적 기능을 밝혔다는데 의의가 있다.

Productivity improvement is one of the important goals which firms’ technology developments aim at. Firms’ improved productivity from technology development means that their inputs can produce more outputs through technology development, which makes firms’ productivity improvement from technology development more and more important in the age of technology advance and convergence like today. This research empirically analyzes the influence of the external technology collaboration network diversity on the productivity improvement of the small and medium-sized enterprises (SMEs) from technology development and the moderating effect of the chief technology officer (CTO)-driven technology development on this influence. This study constructs the research model reflecting the moderating impact of the CTO-driven technology development and tests it with the ordinary least squares regression through the IBM SPSS version 23 by using the 2,000 data about South Korean SMEs. This research empirically reveals two points. One is that SMEs’ external technology collaboration network diversity has a positive influence on their productivity improvement from technology development. The other is that the positive effect of SMEs’ external technology collaboration network diversity on their productivity improvement from technology development is moderated by the CTO-driven technology development. The two points revealed in this study present two meaningful implications in not only the practical but also academic point of view. The practical implication is that it is effective for SMEs to use CTOs in increasing their productivity improvement from technology development. The academic implication is that making technology collaboration with more diverse external partners can increase SMEs’ productivity improvement from technology development.

Deep learning techniques are being studied and developed throughout the medical, agricultural, aviation, and automotive industries. It can be applied to construction fields such as concrete cracks and welding defects. One of the best performing techniques of deep running is CNN technique. In this study, we analyzed the classification of handwritten images using CNN technique before applying them to construction field. Deep running is generally more accurate with deeper layers, but analysis cost is high. In addition, many variations can occur depending on training options. Therefore, this study performed a parametric study to be a reference when CNN technique was applied through accuracy analysis according to training options.

SNS (Social network service) characteristics are perceived to simplify use. We carried out empirical studies on these parameters to observe the impact on the image of catering SNS online by word-of-mouth. The subjects of the study were as follows: 32.3% (392 persons) 19 years old, 67.7% (821 persons) over 19 years, 51.0% (619 persons) in their 20s, 22.1% (268 persons) in their 30s, 17.6% in their 50s, and 9.3% (112 persons) over 50 years. After verifying the hypothesis proposed that SNS characteristics perceived the ease of use, the significant factor identified in usability were connectivity Speed (β=0.213), playfulness (β=0.246), information (β=0.115), and reciprocity (β=0.357). Dual reciprocity had the most impact. It was observed that a longer impact of these significant factors improved the feel and fun of use. If SNS companies cater to, quick and easy, diverse, reliable and latest information, they can increase the ease of use, and availability, depending on the goals. Also, significant factors in the SNS features and online word of mouth was playfulness (β=0.312), information (β=0.207), reciprocity (β=0.066) and perceived ease of use, and usefulness (β=0.293), double playfulness had the maximum impact. These features provided more fun, reliable information, and could quickly deliver the latest information. The more the perceived usefulness, and ease of use, higher was the online word-of-mouth effect. SNS usage characteristics of connectivity Speed did not show any statistical significance in online word-of-mouth. Thus, catering businesses need to find ways to increase the ease of use, make the usefulness multifaceted, constantly checking the catering information on the SNS and ensuring to get the latest information is from diverse and reliable sources. This would increase the fun for the customer making the SNS to actively be utilized as a marketing tool.

We present our efforts for extending the simultaneous multi-frequency receiver system of the Korean Very Long Baseline Interferometry (VLBI) Network (KVN) to global baselines in order to measure the frequency-dependent position shifts in Active Galactic Nuclei (AGN) jets, the so called core shift effect, with an unprecedented accuracy (a few micro-arcseconds). Millimeter VLBI observations with simultaneous multi-frequency receiver systems, like those of the KVN, enable us to explore the innermost regions of AGN and high precision astrometry. Such a system is capable of locating the frequency dependent opacity changes accurately. We have conducted the feasibility test-observations with the interested partners by implementing the KVN-compatible systems. Here we describe the science case for measuring the core shift effect in the AGN jet and report progress and future plans on extending the simultaneous multi-frequency system to global baselines.

This paper is conducted to support Korean game development companies to enter the MSNG market in China. According to preceding researches, the life-cycle of MSNG is under 3 months. Short-term of the MSNG's life-cycle raises the problems of low profits or deficit of companies managed to enter the Chinese market. Therefore, it needs to lead MSNG users to continuos use to extend the life-cycle. The plan to extend the life-cycle is likely to be a critical factor to be survived in Chinese market. The commitment is considered as the factor to make usage of MSNG longer by researchers. This paper also infers that the plan to keep MSNG user's commitment continuos develops their perceived functional value, emotional value and social value, with the reasonal, emotional and psychological point of view. We make a effort to reveal the relationships among factors through 318 data from Chinese MSNG users. Futhermore we would like to suggest that the companies consider continuos usage intention of MSNG users as the critical factor which makes a profit based on the result of this survey and propose the direction of future researches from the limit of this paper.

In this paper, we proposed the modified method of Metcalfe's law that is "Modfied law" in evaluating the network power for the measurement of combat effectiveness in C4I system. It is applied to JFOS-K(Joint Fire Operating System-Korea) C4I system that can connect KJCCS(Korea Joint Command & Control System) of Korea armed forces with JADOCS(Joint Automated Deep Operations Coordination System) of U.S. armed forces and achieve sensor to shooter system in real time in JCS(Joint Chiefs of Staff) level. The result of combat effectiveness using Modified law is compared to the one by C2 theory and found that both is similar. This study is

This paper is concerned with preventing victims of crime in the community. Today, society becomes more informationized, urbanized and globalized. As the byproducts of rapidly changing nature of society, local dwellers are always threatened to be a victim of unexpected crimes. This study employs the concepts from community social capital and community social network system for controlling the community living quality and the effectiveness of the preventive measures for victims of crime in the community. In this perspective, this paper suggests the tri-combined crime prevention security system which consists in police, security company and the community residents through the localized capital and networking.

We report the reorganization of motor network resulted from intensive unilateral coordination training and the effect of cross education on the untrained side in patient with traumatic brain injury using functional magnetic resonance imaging (fMRI). A 22 year-old male patient who had suffered from diffuse axonal injury for 58 months showed coordination deficit in the left hand at initial examination. Intensive motor training including complex finger movements and coordination activities using a metronome was introduced to the patient 4 hours per day for a week. FMRI was performed on a 3T ISOL Forte scanner. All functional images were analyzed using SPM-99 software. Hand function was improved after training not only in the trained left hand, but also in the untrained right hand. There was no activation in the right primary motor area (M1) during left hand movement before training whereas robust activation of left M1 was demonstrated by the right hand movement. Profuse activation of bilateral prefrontal lobes was seen during both hand movements before training. After training of left hand, right M1 became prominently activated during the left hand motion. The activation of bilateral prefrontal lobes disappeared after training not only for the left hand movement but also for the right, which clearly demonstrated the effect of cross education. This case report demonstrated the learning-dependent reorganization of the M1 and the effect of cross education.

In recent dates, Internet advertising effects are expanded by the steep increment of the Internet users and the extension of the advertising market will be accelerated through Internet. This paper indicates the importance of Internet advertising and suggests the solution of a network advertising service. The system is divided into an Advertise Server, an Advertiser and a Web Publisher. This study proposes both the collection and the analysis of traffic data in real time. Also, the banner advertising frames are smoothed for the impression using the solution for the banner exchange engine and are developed using various impression methods, that is, Fixed/variable Banner, Scheduling Banner, Multi-Impression Banner, and Frame Remote Control to increase the advertising effect. And then to increase the advertising effect web publisher, which is specialized in lottery site, is constructed using the network advertising service and various advertising technology.