• The Journal of Asian Finance, Economics and Business
• /
• 제8권10호
• /
• pp.341-352
• /
• 2021

Research on SMEs highlights their limited resources and the influential role of SMEs' owners/managers. In this respect, scholars stressed the importance of different capabilities possessed by owners/managers of SMEs in developing a competitive position and enhancing firm performance. This study intended to examine the direct influence of two fundamental capabilities: financial literacy and networking competency possessed by owners/managers of SMEs in China and the United Arab Emirate (UAE) on SMEs' financial performance. In addition, this research tested the moderating impact of market orientation. The quantitative research method was employed by administering structured questionnaires. A total of 150 and 120 questionnaires were collected from owners/managers of SMEs in China and UAE. Structural equation modeling was used for data analysis using Smart-Pls. Findings revealed that SMEs' financial performance was positively related to maintaining financial literacy and networking competency in both samples. Further, market orientation was found to strengthen the positive impact of financial literacy and networking competency on SMEs' financial performance in China. However, market orientation had a significant moderating impact only on the relationship between networking and the financial performance of SMEs in the UAE. This paper ends with providing a set of concluding remarks, recommendations, and potential areas of further research.

• International Journal of Computer Science & Network Security
• /
• 제21권12spc호
• /
• pp.570-578
• /
• 2021

Recently, in the field of engineering and scientific and technical calculations, problems of mathematical modeling, real-time problems, there has been a tendency towards rejection of sequential solutions for single-processor computers. Almost all modern application packages created in the above areas are focused on a parallel or distributed computing environment. This is primarily due to the ever-increasing requirements for the reliability of the results obtained and the accuracy of calculations, and hence the multiply increasing volumes of processed data [2,17,41]. In addition, new methods and algorithms for solving problems appear, the implementation of which on single-processor systems would be simply impossible due to increased requirements for the performance of the computing system. The ubiquity of various types of parallel systems also plays a positive role in this process. Simultaneously with the growing demand for parallel programs and the proliferation of multiprocessor, multicore and cluster technologies, the development of parallel programs is becoming more and more urgent, since program users want to make the most of the capabilities of their modern computing equipment[14,39]. The high complexity of the development of parallel programs, which often does not allow the efficient use of the capabilities of high-performance computers, is a generally accepted fact[23,31].

• 디지털융복합연구
• /
• 제14권5호
• /
• pp.149-156
• /
• 2016

다양한 분야 간 기술 융복합화와 함께 빠르게 변화하고 있는 오늘날의 사업 환경에서, 신기술 개발 및 기술 사업화 역량은 중소기업의 생존과 성장에 매우 중요하다. 본 연구는 한국의 중소기업으로부터 수집된 2,000개의 데이터를 사용하여 개방형 혁신의 관점을 기반으로 개발된 연구 모형을 실증적으로 검증한다. 본 연구의 실증 분석 결과는 중소기업의 외부 기술협력 네트워크와 외부 정보 네트워크의 다양성이 중소기업의 기술 사업화 역량에 정(+)의 영향을 미치며, 이러한 정(+)의 영향은 중소기업의 신기술 개발 역량에 의하여 완전 매개 된다는 것을 보여준다. 이러한 실증 분석 결과를 바탕으로, 본 연구는 특히 기업가정신을 추구하는 중소기업의 경영자들의 관점에서 의미 있는 시사점을 제공한다.

• 인터넷정보학회논문지
• /
• 제18권5호
• /
• pp.69-77
• /
• 2017

본 논문에서는 재난상황에서 딥러닝과 증강현실 기술을 활용한 재난대응 방안과 그에 따른 네트워크 자원 확보 방안을 제안한다. 딥러닝과 증강현실 기술의 특징과 현황을 파악하고, 재난분야와의 연관성에 관하여 설명한다. 딥러닝 기술을 사용하여 재난 상황을 정확하게 인지하고 관련 재난 정보를 증강현실로 구현하여 재난대응 현장 및 통합지원본부, 재난안전대책본부 등에 제공함으로써 재난대응 역량을 강화할 수 있다. 각종 재난사례 중 화재상황을 중점으로, 딥러닝 기반 화재상황 인식 및 증강현실 정보제공을 통해 효과적으로 재난대응 역량을 강화할 수 있는 방안을 제시한다. 마지막으로, 본 논문의 재난대응 방안을 활용하기 위한 네트워크 자원 확보 기법을 제시한다.

• 한국정보통신학회논문지
• /
• 제4권5호
• /
• pp.1037-1050
• /
• 2000

오늘날의 통신서비스들은 음성이나 데이터 서비스와 같은 전통적인 서비스뿐만 아니라 비디오 서비스와 같은 대량의 데이터를 전송해야만 하는 멀티미디어 서비스를 포함한다. 이러한 요구를 수용하기 위해서 BISDN(Broadband Integated Services Digital Network)이 개발되었고 이의 기반 기술로 ATM이 채택되었다. 다양한 멀티미디어 응용들 중에서 VOD(Video On Demand), 화상회의등은 데이터를 동시에 여러 목적지로 보내는 멀티캐스트 특성이 있다. 그러므로 멀티캐스트 능력은 멀티미디어 통신에서 매우 중요하다. 본 논문에서는 링망을 이용한 병렬 멀티캐스트 패킷스위치(Parallel Multicast Packet Switch with Ring Network: PMRN)에서의 분리된 HOL을 이용한 멀티캐스트 셀 스케줄링 기법을 제안한다. 이 기법은 입력버퍼의 앞단 에 멀티캐스트 셀과 유니캐스트 셀을 위한 분리된 HOL을 두고 non-FIFO방식을 사용함으로서 입력버퍼 내에서 전송 가능한 멀티캐스트 셀과 유니캐스트 셀을 동시에 스케줄링할 수 있도록 하여 입력버퍼 내에서의 지연을 감소시키고 링망과 일대일 연결 네트워크의 이용율을 높이며 스위치의 처리율을 높일 수 있다.

• 한국경영과학회:학술대회논문집
• /
• 한국경영과학회 2007년도 추계학술대회 및 정기총회
• /
• pp.67-89
• /
• 2007

This study addresses manufacturers' ability to influence their supply chain network in order to adapt to their competitive environment. From the perspective of a manufacture, the supply chain comprises a network of suppliers and customers, and is theoretically viewed as a complex adaptive system. This study considers the following questions: (1) How can adaptability of supply chain network be operationally defined? (2) How does adaptability of supply chain network lead to combinative capabilities? (3) What is the influence of adaptability of supply chain network on business performance? Drawing on literature streams in supply chain management, operations strategy, organizational change and learning, and complexity theory, this study develops and tests the constructs and operational measures of adaptability of supply chain network and model the nomological set of relationships among constructs that form the basis of our theory. This study then develops and tests a model describing the outcomes of adaptability of supply chain network and its influence on combinative capability and business performance. Empirical results of this study show that adaptability supply chain network directly and positively affects combinative capability. Further, this study finds that adaptability of supply chain network does not impact business performance directly, but rather is mediated through combinative capability, which provides the requisite variety for firms to survive and thrive in dynamic environments.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제12권9호
• /
• pp.4205-4227
• /
• 2018

Network Coding (NC) is an approach recently investigated for increasing the network throughput and thus enhancing the performance of wireless mesh networks. The benefits of NC can further be improved when routing decisions are made with the awareness of coding capabilities and opportunities. Typically, the goal of such routing is to find and exploit routes with new coding opportunities and thus further increase the network throughput. As shown in this paper, in case of proactive routing the coding awareness along with the information of the measured traffic coding success can also be efficiently used to support the congestion avoidance and enable more encoded packets, thus indirectly further increasing the network throughput. To this end, a new proactive routing procedure called Congestion-Avoidance Network Coding-Aware Routing (CANCAR) is proposed. It detects the currently most highly-loaded node and prevents it from saturation by diverting some of the least coded traffic flows to alternative routes, thus achieving even higher coding gain by the remaining well-coded traffic flows on the node. The simulation results confirm that the proposed proactive routing procedure combined with the well-known COPE NC avoids network congestion and provides higher coding gains, thus achieving significantly higher throughput and enabling higher traffic loads both in a representative regular network topology as well as in two synthetically generated random network topologies.

• 경영과학
• /
• 제32권4호
• /
• pp.175-192
• /
• 2015

Due to the emergence of open innovation driven by development of network service technologies and convergence in ICT service industry, It is necessary for ICT service firms to examine their capabilities for open innovation. The purpose of this paper is to empirically examine determinants affecting open innovation in Korean ICT service industry. In order to analyze, this paper uses logistic and multiple regression models based on survey data of Korean ICT service firms. Estimation results show that external network for collaboration is positive on the technological innovation activity regardless of the innovation type. Specifically, user networks are significant in all types of technology innovation, revealing that it is important to innovation activities of the ICT service firms.

• Structural Engineering and Mechanics
• /
• 제28권2호
• /
• pp.153-166
• /
• 2008

This paper suggests the use of wavelet multiresolution analysis (WMRA) and neural network for generation of artificial earthquake accelerograms from target spectrum. This procedure uses the learning capabilities of radial basis function (RBF) neural network to expand the knowledge of the inverse mapping from response spectrum to earthquake accelerogram. In the first step, WMRA is used to decompose earthquake accelerograms to several levels that each level covers a special range of frequencies, and then for every level a RBF neural network is trained to learn to relate the response spectrum to wavelet coefficients. Finally the generated accelerogram using inverse discrete wavelet transform is obtained. An example is presented to demonstrate the effectiveness of the method.

• Smart Structures and Systems
• /
• 제15권4호
• /
• pp.1103-1120
• /
• 2015

A self-sensing magnetorheological (MR) damper with embedded piezoelectric force sensor has recently been devised to facilitate real-time close-looped control of structural vibration in a simple and reliable manner. The development and characterization of the self-sensing MR damper are presented based on experimental work, which demonstrates its reliable force sensing and controllable damping capabilities. With the use of experimental data acquired under harmonic loading, a nonparametric dynamic model is formulated to portray the nonlinear behaviors of the self-sensing MR damper based on NARX modeling and neural network techniques. The Bayesian regularization is adopted in the network training procedure to eschew overfitting problem and enhance generalization. Verification results indicate that the developed NARX network model accurately describes the forward dynamics of the self-sensing MR damper and has superior prediction performance and generalization capability over a Bouc-Wen parametric model.