• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.10
• /
• pp.4703-4723
• /
• 2018

In recent years, dense small cell network has been deployed to address the challenge that has resulted from the unprecendented growth of mobile data traffic and users. It has proven to be a cost efficeient solution to offload traffic from macro-cells. Software defined heterogeneous wireless network can decouple the control plane from the data plane. The control signal goes through the macro-cell while the data traffic can be offloaded by small cells. In this paper, we propose a framework for cell virtualization and user association in order to satisfy versatile requirements of multiple tenants. In the proposed framework, we propose an interference graph partioning based virtual-cell association and customized physical-cell association for multi-homed users in a software defined small cell network. The proposed user association scheme includes 3 steps: initialization, virtual-cell association and physical-cell association. Simulation results show that the proposed virtual-cell association outperforms the other schemes. For physical-cell association, the results on resource utilization and user fairness are examined for mobile users and infrastructure providers.

• Biomedical Science Letters
• /
• v.18 no.1
• /
• pp.71-75
• /
• 2012

The PLA2G4A catalyzes the hydrolysis of membrane phospholipids to release arachidonic acid, which is metabolized into lipid-based cellular hormones that regulate inflammatory response. The circulating blood cell numbers can be influenced by stress, infection or inflammation. Quantitative blood cell count traits analysis for the 19 SNPs in the PLA2G4A gene in the Korean Association Resource (KARE) cohort (7551 subjects) was performed. The only one SNP (rs10752979) in the all blood cell count was satisfied with the Bonferroni corrected P-value (<0.00263). Furthermore, 6 of the 19 SNPs in the PLA2G4A gene showed a weak or moderate association with blood cell count (P-values: 0.0048~0.042), suggesting the clue of an association between the PLA2G4A gene and blood cell count, especially white blood cell count. This study may provide insight into the genetic basis of blood cell count related with reaction of infection.

• Journal of the korean veterinary medical association
• /
• v.21 no.8
• /
• pp.456-462
• /
• 1985

It was carried out to a general review of relation between bovine mastitis and somatic cell count in milk. The results were summarized as follows; 1. The term 'Somatic' means derived from body. Since both leukocytes and epithelial cell are body cell, tota

• Journal of The Korean Radiological Technologist Association
• /
• v.30 no.1
• /
• pp.70-76
• /
• 2004

To evaluate the process of radiation-induced cell damage in human promyelocytic leukemia cell HL-60 cell and chinese hamster cell CHO cell lines. I irradiated HL-60 cells, CHO cell line, using the V - radiation from Cs-137 cell irradiation(Gamma cell 3000

• Proceedings of the Korea Crystallographic Association Conference
• /
• 2003.11a
• /
• pp.13-13
• /
• 2003

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.40 no.5
• /
• pp.812-814
• /
• 2015

In this letter, a distributed self-organized cell association scheme is proposed for heterogeneous cellular networks. In which each small cell uses a common self-organization strategy and takes its environment into account to establish its own cell association scheme. It is confirmed that the proposed cell association improves the user throughput and areal spectral efficiency compared to joint association.

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
• /
• 2000.11a
• /
• pp.27-34
• /
• 2000

• Journal of the Korean Professional Engineers Association
• /
• v.15 no.1
• /
• pp.36-40
• /
• 1982

This study is to characterize Ago stability useful for manufacturing silver oxide button cell, and deter mined by test tube gassing evaluations and by cell expansion and further discuss en the effectiveness of pellet reduction treatments to obtain single plateau discharge Profile and relevent performance.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.5
• /
• pp.1569-1586
• /
• 2015

This paper considers the optimal cell association and resource allocation for load balancing in a heterogeneous cellular network subject to user's quality-of-service (QoS) constraints. We adopt the proportional fairness (PF) utility maximization formulation which also accommodates the QoS constraints in terms of minimum rate requirements. With equal resource allocation this joint optimization problem is either infeasible or requires relaxation that yields a solution which is difficult to implement. Nevertheless, we show that this joint optimization problem can be effectively solved without any priori assumption on resource allocation and yields a cell association scheme which enforces single BS association for each user. We re-formulated the joint optimization problem as a network-wide resource allocation problem with cardinality constraints. A reweighted heuristic l₁-norm regularization method is used to obtain a sparse solution to the re-formulated problem. The cell association scheme is then derived from the sparsity pattern of the solution, which guarantees a single BS association for each user. Compared with the previously proposed method based on equal resource allocation, the proposed framework results in a feasible cell association scheme and yields a robust solution on resource allocation that satisfies the QoS constraints. Our simulations illustrate the impact of user's minimum rate requirements on cell association and demonstrate that the proposed approach achieves load balancing and enforces single BS association for users.

• The Journal of the Korea Contents Association
• /
• v.11 no.5
• /
• pp.32-40
• /
• 2011

The tracking and analysis of cell activities in time-lapse sequences plays an important role in understanding complex biological processes such as the spread of the tumor, an invasion of the virus, the wound recovery and the cell division. For automatic tracking of cells, the tasks such as the cell detection at each frame, the investigation of the correspondence between cells in previous and current frames, the identification of the cell division and the recognition of new cells must be performed. This paper proposes an automatic cell tracking algorithm. In the first frame, the marker of each cell is extracted using the feature vector obtained by the analysis of cellular regions, and then the watershed algorithm is applied using the extracted markers to produce the cell segmentation. In subsequent frames, the segmentation results of the previous frame are incorporated in the segmentation process for the current frame. A combined criterion of geometric and intensity property of each cell region is used for the proper association between previous and current cells to obtain correct cell tracking. Simulation results show that the proposed method improves the tracking performance compared to the tracking method in Cellprofiler (the software package for automatic analysis of bioimages).