• Journal of the Korea Society of Computer and Information
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• v.24 no.9
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• pp.1-8
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• 2019

In this paper, we propose a performance isolation of shared space for virtualized SSD based storage systems, to solve the weakness in a VSSD framework. The proposed scheme adopts a CFQ scheduler and a shared space-based FTL for the fairness and the performance isolation for multiple users on virtualized SSD based storage systems. Using the CFQ scheduler, we ensure SLOs for the storage systems such as a service time, a allocated space, and a IO latency for users on the virtualized storage systems. In addition, to improve a throughput and reduce a computational latency for garbage collection, a shared space-based FTL is adopted to maintain the information of SLOs for users and it manages shared spaces among the users. In our experiments, the proposal improved the throughput of garbage collection by 7.11%, on average, and reduced the computational latency for garbage collection by 9.63% on average, compared to the previous work.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.375-381
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• 2018

The purpose of this study is to propose and spread the effective direction of collaboration among domestic and external industries. To this end, it chose to study cases in which domestic and foreign companies achieved high value through collaboration. Studies have shown that businesses are also working increasingly to realize shared values as people are increasingly interested in the shared economy. Based on these results, we proposed collaboration with IKEA, a practical furniture brand, and Airbnb, a shared accommodation platform service. Through collaboration, the two companies were able to share their current limitations, and the result was that their social image could be enhanced through the realization of shared economic values. Based on this research in the future, we hope that not only IKEA and Airbnb, but also companies will be able to collaborate to create the value of promoting shared economies.

• The Korean Journal of Malacology
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• v.22 no.2
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• pp.97-108
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• 2006

Genomic DNA samples isolated from geographical purple Washington clam (Saxidomus purpuratus) were obtained from two different regions in Korean Peninsula: Gunsan (Gunsan population; GSP), and Haeju (Haeju population; HJP), a collection area in the vicinity of the West Sea. The seven arbitrarily primers, OPA-07, OPA-09, OPA-18, OPA-20, OPC-03, OPC-06 and OPC-09 were shown to generate the total loci, loci observed per primer, shared loci by each population, specific, and polymorphic loci which could be clearly scored. We also generated the unique shared loci to each population and shared loci by the two populations in purple Washington clam. The size of the DNA fragments also varied wildly, from 50 to 2,400 bp. Here, 304 total loci were identified in the GSP purple Washington clam population, and 282 in the HJP: 91 polymorphic loci (29.9%) in the GSP and 47 (16.7) in the HJP. 198 shared loci, with an average of 28.3 per primer, were observed in the GSP population. The decamer primer OPA-07 generated the shared loci by the two populations, approximately 1,000 bp, between the two Saxidomus populations. The oligonucleotide primer OPC-03 also generated the shared loci by the two populations, approximately 500 bp and 1,000 bp, in GSP population from Gunsan and HJP population from Haeju. The other primer, OPC-06 generated the shared loci by two Gomphina populations (approximately 400 bp). The dendrogram, generated by seven reliable primers, indicates three genetic clusters. The dendrogram obtained by the seven primers indicates three genetic clusters: cluster 1 (GUNSAN 01-GUNSAN 02), cluster 2 (GUNSAN 03-GUNSAN 11), and cluster 3 (HAEJU 12-HAEJU 22). The genetic distance between the two geographical populations ranged from 0.043 to 0.506. Especially, the longest genetic distance displaying significant molecular differences, 0.506, was found to exist between individuals GUNSAN no. 11 of Gunsan and HAEJU no. 17 of Haeju.

• Development and Reproduction
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• v.18 no.3
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• pp.167-172
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• 2014

In the present study, muscle tissues were obtained separately from individuals from Atlantic hairtail population (AHP), Gunsan hairtail population (GHP) and Chinese hairtail population (CHP), respectively. The seven decamer primers were used to generate the shared loci, specific, unique shared loci to each population and shared loci by the three hairtail populations. Here, averagely, a decamer primer generated 64.7 amplified products per primer in the AHP population, 55.7 in GHP population and 56.4 in CHP population. The number of unique shared loci to each population and number of shared loci by the three populations generated by genetic analysis using 7 decamer primers in AHP, GHP and CHP population. 119 unique shared loci to each population, with an average of 17 per primer, were observed in the AHP population, and 28 loci, with an average of 4 per primer, were observed in the CHP population. The hierarchical dendrogram point out three main branches: cluster 1 (ATLANTIC 01 ~ ATLANTIC 07), cluster 2 (GUNSAN 08 ~ GUNSAN 14) and cluster 3 (CHINESE 15 ~ CHINESE 21). The shortest genetic distance displaying significant molecular difference was between individuals' CHINESE no. 16 and CHINESE no. 18 (0.045). In the long run, individual no. 01 of the AHP population was most distantly related to CHINESE no. 19 (genetic distance = 0.430). Consequently, PCR analysis generated on the genetic data displayed that the geographic AHP population was widely separated from CHP population, while individuals of CHP population were fairly closely related to those of GHP population.

• The Transactions of the Korea Information Processing Society
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• v.7 no.4
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• pp.1082-1091
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• 2000

In Distributed Shared Memory systems, false sharing occurs when two different data items, not shared but accessed by two different processors, are allocated to a single block and is an important factor in degrading system performance. The paper first analyzes shared memory allocation and reference patterns in parallel applications that allocate memory for shared data objects using a dynamic memory allocator. The shared objects are sequentially allocated and generally show different reference patterns. If the objects with the same size are requested successively as many times as the number of processors, each object is referenced by only a particular processor. If the objects with the same size are requested successively much more than the number of processors, two or more successive objects are referenced by only particular processors. On the basis of these analyses, we propose a memory allocation scheme which allocates each object requested by different processors to different pages and evaluate the existing memory allocation techniques for reducing false sharing faults. Our allocation scheme reduces a considerable amount of false sharing faults for some applications with a little additional memory space.

• Asia pacific journal of information systems
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• v.30 no.1
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• pp.214-228
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• 2020

Shared value enhances the competitiveness of a company while simultaneously reducing societal burdens. By allowing companies to share their resources, collaborative logistics systems provide companies with an opportunity to create shared value, namely, not only economic value by enhancing the utilization of resources, but also social value by reducing energy consumptions and greenhouse gas emissions associated with logistics and transportation. Emerging businesses, such as ES3 and Flexe, have recently demonstrated how they created shared value through collaborative logistics services, for example, ES3's collaborative warehousing and direct-to-store (D2S) program, and Flexe's on-demand warehousing platform. However, the development of collaborative logistics systems is currently at a nascent stage. There are quite a few socio-technical barriers to overcome for sharing resources (data as well as infrastructure). Drawing on the socio-technical approach, this research examines how companies create both economic and social value from collaborative logistics systems. We highlight socio-technical barriers, particularly one set of social barriers, that is, competition-oriented conservatism prevalent among companies. Using the case study methodology and interview data, we closely investigate ES3 and Flexe, which provide collaborative logistics services, and demonstrate how technical and social barriers are addressed to create shared value from collaborative logistics systems.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.24
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• pp.107-125
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• 2004

This study is based on the survey data of 74 Korean multinational corporations, which undertook foreign direct investments from 1980 to 1996. The study examined the firm-specific as well as the host country-specific factors affecting the decision between shared and full ownership. According to the results of this study, as for the firm-specific factors, Korean firms entering foreign markets in order to penetrate local markets prefer shared ownership while those pursuing core business diversification prefer full ownership. As for the host country factors, the more advanced the host country(such as OECD countries) is, the more preference is given to full ownership.

• ETRI Journal
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• v.38 no.3
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• pp.540-550
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• 2016

Spectral clustering is a powerful tool for exploratory data analysis. Many existing spectral clustering algorithms typically measure the similarity by using a Gaussian kernel function or an undirected k-nearest neighbor (kNN) graph, which cannot reveal the real clusters when the data are not well separated. In this paper, to improve the spectral clustering, we consider a robust similarity measure based on the shared nearest neighbors in a directed kNN graph. We propose two novel algorithms for spectral clustering: one based on the number of shared nearest neighbors, and one based on their closeness. The proposed algorithms are able to explore the underlying similarity relationships between data points, and are robust to datasets that are not well separated. Moreover, the proposed algorithms have only one parameter, k. We evaluated the proposed algorithms using synthetic and real-world datasets. The experimental results demonstrate that the proposed algorithms not only achieve a good level of performance, they also outperform the traditional spectral clustering algorithms.

• Journal of Information Processing Systems
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• v.19 no.1
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• pp.130-138
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• 2023

The traffic flow in an urban area is affected by the date, weather, and regional traffic flow. The existing methods are weak to model the dynamic road network features, which results in inadequate long-term prediction performance. To solve the problems regarding insufficient capacity for dynamic modeling of road network structures and insufficient mining of dynamic spatio-temporal features. In this study, we propose a novel traffic flow prediction framework called shared spatio-temporal attention convolution optimization network (SSTACON). The shared spatio-temporal attention convolution layer shares a spatio-temporal attention structure, that is designed to extract dynamic spatio-temporal features from historical traffic conditions. Subsequently, the graph optimization module is used to model the dynamic road network structure. The experimental evaluation conducted on two datasets shows that the proposed method outperforms state-of-the-art methods at all time intervals.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.spc
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• pp.68-78
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• 2023

Big data technology is being used in various fields followed by the development of information and communication technology. In the corporate and public sectors, diverse system platforms are built and operated due to the needs of users, but efficiency is low because they are built from an individual service perspective rather than an integrated service perspective. In this study, the relationship between presenting the characteristics of the type of shared information platform, the integration plan, and integration performance of the shared information system platform was analyzed. The results of the study will provide guidelines for the integration of shared information system platforms by the government and private companies in the future.