• Journal of Technology Innovation
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• v.19 no.3
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• pp.115-140
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• 2011

The fact that innovation activities of venture firms and start-ups play crucial role in driving industrial development and economic growth has significantly increased the importance of business incubator and techno-park which promote new businesses creations. This review paper aims at not only generating performance measurement index of business incubators but also categorizing performance determinants in accordance with three different theoretical perspectives of resource-based view, strategy patterns, and social networks. Futhermore, as future direction of research, this paper emphasizes structured research efforts on the critical effects of incubator's governance patterns, external and regional contexts, and analysis of government incubator policy.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.109-116
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• 2021

Since RDF (Resource Description Framework) triples are modeled as graph, we cannot directly adopt existing solutions in relational databases and XML technology. In order to store, index, and query Linked Data more efficiently, we propose a convergence indexing method combined R*-tree and K-dimensional trees. This method uses a hybrid storage system based on HDD (Hard Disk Drive) and SSD (Solid State Drive) devices, and a separated filter and refinement index structure to filter unnecessary data and further refine the immediate result. We perform performance comparisons based on three standard join retrieval algorithms. The experimental results demonstrate that our method has achieved remarkable performance compared to other existing methods such as Quad and Darq.

• Korean Journal of Agricultural Science
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• v.48 no.1
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• pp.1-9
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• 2021

A total of twenty-four multiparous sows (Landrace × Yorkshire) and their litters were used in this 21-day experimental trial. Based on their body weight, sows were randomly allocated into one of three treatments with eight replicates. The dietary betaine supplementation contained three levels: (i) CON (Basal diet + 0% Bet), (ii) Bet 0.05% (CON + 0.05% Betaine), and (iii) Bet 0.15% (CON + 0.15% Betaine). The supplementation of betaine had no effect (p > 0.05) on body weight and feed intake of lactating sow. Moreover, no significant response was observed on backfat thickness, body condition score, and weaning of the estrus interval with the dietary supplementation of betaine. In addition, the litter weaning weight, litter weight gain, average litter daily gain, and survivability rate at birth showed no significant difference with the dietary betaine supplementation of the sow diet. Fecal scores of the lactating sows and suckling piglets were not affected (p > 0.05) with the dietary betaine supplementation compared with the control diet during the experimental periods. The findings of this study showed that betaine supplementation does not boost growth performance, feed intake, body conditions, and fecal score in lactating sows and suckling piglets fed a corn-soybean meal-based diet.

• Journal of Information Processing Systems
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• v.4 no.3
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• pp.103-112
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• 2008

This paper proposes a policy adjuster-driven Grid workflow management system for collaborative healthcare platform, which supports collaborative heart disease diagnosis applications. To select policies according to service level agreement of users and dynamic resource status, we devised a policy adjuster to handle workflow management polices and resource management policies using policy decision scheme. We implemented this new architecture with workflow management functions based on policy quorum based resource management system for providing poincare geometrycharacterized ECG analysis and virtual heart simulation service. To evaluate our proposed system, we executed a heart disease identification application in our system and compared the performance to that of the general workflow system and PQRM system under different types of SLA.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.9
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• pp.3004-3015
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• 2014

This letter proposes an efficient joint resource allocation scheme for OFDM-based cooperative cognitive radio networks (CRNs) under various practical limitations. Compared with those traditional approaches, which guarantee the transmission rates of cognitive users, the proposed scheme ensures that cognitive users are maintained in proportion to the predefined target rates. Numerical simulation shows that the proposed scheme can achieve a reasonable tradeoff between performance and computational complexity.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.6
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• pp.793-800
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• 1999

TMN Agent Platform은 망 요소의 운영상태와 자원들을 GDMO에 따라 관리객체(Managed Object : MO)로 모델링 하고, 자원들의 현재 상태를 유지하며, 관리자(Manager)로부터의 망 관리 기능 요구에 따라 조작된다. 그러므로, 에이전트의 성능향상은 전체적인 통신망 관리의 성능향상에 직접적인 영향을 미친다.본 논문에서는 TMN 에이전트의 기능요구 사항을 분석하고, 이를 토대로 성능향상을 위해 멀티스레드 기법을 사용하는 병렬 처리 구조의 TMN Agent Platform의 기능구조를 제시한다. 또한 에이전트와 다양한 자원들간의 효율적인 메시지전달을 위한 체계를 제시하며, 구현된 TMN Agent Platform의 성능을 분석한다.Abstract TMN Agent manages the operational status and real-resources of network elements, such as switching nodes and transmission systems. It performs the requested management functions from manager and maintains consistent status data of real-resource. The performance of agent system affects directly the performance of network management operation. If the agent is implemented by sequential processing scheme with single process, the agent processing can be delayed or blocked according to the status of real-resources. This problem can be solved by parallel and distributed processing scheme.To improve the processing performance of TMN Agent, we propose a TMN Agent Platform's functional architecture that is based on parallel processing with multi-tread and effective message transferring scheme between agent and various real-resource. We analyze the performance of the implemented TMN Agent Platform.

• Korean small business review
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• v.39 no.2
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• pp.19-35
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• 2017

It is very important for entrepreneurial firms to acquire and exploit the resources necessary for growth. This study examines how venture capital financing affect these entrepreneurial firms' ability to acquire and exploit the resources. Particularly, based on the resource based view, the authors explain the relationship between venture capital financing and entrepreneurial firm's market performance. Empirical results illustrate that venture capital financing positively and significantly affects the market performance of entrepreneurial firms. It is concluded that entrepreneurial firms need to increase the number of alliances with venture capital, which supports various activities after the investment to achieve growth with resource limitation.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.45 no.11
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• pp.83-88
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• 2008

In this paper, a new scheduling method considering bit-level delays for high-level synthesis is proposed. Conventional bit-level delay calculation for high-level synthesis was usually limited for specific resources. However, we have developed an efficient bit-level delay calculation method which is applicable to various resources, in this research. This method is applied to scheduling. The scheduling algorithm is based on list scheduling and executes chaining considering bit-level delays. Furthermore, multi-cycle chaining can be allowed to improve performance under resource constraints. Experimental results on several well-known DSP examples show that our method improves the performance of the results by 14.7% on the average.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.20-21
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• 2008

In the IEEE 802.16 Wireless MAN standard, the best effort service class is ranked on the lowest position in priority so that only scarce resource may be available for it. Also, the best effort service is usually assisted by a MAC scheme based on reservation ALOHA without explicit acknowledgement. However, the standard only specifies the skeleton of the MAC scheme. In this paper, we propose some rules to specify the indefinite part of the MAC scheme as well as to improve the throughput and delay performance of the MAC scheme. As generic rules for demanding and granting resource, we first propose non-gated exhaustive, gated exhaustive, non-gated limited, and gated limited demand rules, and deficient and full grant rules. Secondly, we propose grant regulation rules, identified as replacement and lifetime rules, to avoid excessive grant incurred by not giving acknowledgement. Noting the residual resource is inflated by adopting a grant regulation rule, we finally propose a rule for investing the residual resource to a subscriber station. Simulation results confirm that a combination of proposed rules improves the performance of the MAC scheme.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.7
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• pp.3393-3412
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• 2017

As a main challenge in network virtualization, virtual network embedding problem is increasingly important and heuristic algorithms are of great interest. Aiming at the problems of poor correlation in node embedding and link embedding, long distance between adjacent virtual nodes and imbalance resource consumption of network components during embedding, we herein propose a two-stage virtual network embedding algorithm NA-PVNM. In node embedding stage, resource requirement and breadth first search algorithm are introduced to sort virtual nodes, and a node fitness function is developed to find the best substrate node. In link embedding stage, a path fitness function is developed to find the best path in which available bandwidth, CPU and path length are considered. Simulation results showed that the proposed algorithm could shorten link embedding distance, increase the acceptance ratio and revenue to cost ratio compared to previously reported algorithms. We also analyzed the impact of position constraint and substrate network attribute on algorithm performance, as well as the utilization of the substrate network resources during embedding via simulation. The results showed that, under the constraint of substrate resource distribution and virtual network requests, the critical factor of improving success ratio is to reduce resource consumption during embedding.