• Genomics & Informatics
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• v.19 no.1
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• pp.4.1-4.9
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• 2021

Lip and oral cavity cancer, which can occur in any part of the mouth, is the 11th most common type of cancer worldwide. The major obstacles to patients' survival are the poor prognosis, lack of specific biomarkers, and expensive therapeutic alternatives. This study aimed to identify the main genes and pathways associated with lip and oral cavity carcinoma using network analysis and to analyze its molecular mechanism and prognostic significance further. In this study, 472 genes causing lip and oral cavity carcinoma were retrieved from the DisGeNET database. A protein-protein interaction network was developed for network analysis using the STRING database. VEGFA, IL6, MAPK3, INS, TNF, MAPK8, MMP9, CXCL8, EGF, and PTGS2 were recognized as network hub genes using the maximum clique centrality algorithm available in cytoHubba, and nine potential drug candidates (ranibizumab, siltuximab, sulindac, pomalidomide, dexrazoxane, endostatin, pamidronic acid, cetuximab, and apricoxib) for lip and oral cavity cancer were identified from the DGIdb database. Gene enrichment analysis was also performed to identify the gene ontology categorization of cellular components, biological processes, molecular functions, and biological pathways. The genes identified in this study could furnish a new understanding of the underlying molecular mechanisms of carcinogenesis and provide more reliable biomarkers for early diagnosis, prognostication, and treatment of lip and oral cavity cancer.

• Genomics & Informatics
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• v.19 no.2
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• pp.16.1-16.14
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• 2021

Even in the current age of advanced medicine, the prognosis of malignant peritoneal mesothelioma (MPM) remains abysmal. Molecular mechanisms responsible for the initiation and progression of MPM are still largely not understood. Adopting an integrated bioinformatics approach, this study aims to identify the key genes and pathways responsible for MPM. Genes that are differentially expressed in MPM in comparison with the peritoneum of healthy controls have been identified by analyzing a microarray gene expression dataset. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses of these differentially expressed genes (DEG) were conducted to gain a better insight. A protein-protein interaction (PPI) network of the proteins encoded by the DEGs was constructed using STRING and hub genes were detected analyzing this network. Next, the transcription factors and miRNAs that have possible regulatory roles on the hub genes were detected. Finally, survival analyses based on the hub genes were conducted using the GEPIA2 web server. Six hundred six genes were found to be differentially expressed in MPM; 133 are upregulated and 473 are downregulated. Analyzing the STRING generated PPI network, six dense modules and 12 hub genes were identified. Fifteen transcription factors and 10 miRNAs were identified to have the most extensive regulatory functions on the DEGs. Through bioinformatics analyses, this work provides an insight into the potential genes and pathways involved in MPM.

• Convergence Security Journal
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• v.13 no.1
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• pp.59-70
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• 2013

Along with the rapid development of the wireless network (Wireless Network) technology for secure wireless communications, security problems have emerged as an important issue. In order to operate the wireless network intrusion detection system detects the agent installed on each wireless node should be. Ad-hoc network structures scattered in the AP over a wireless network without the node is a structure that makes it possible to communicate to connect. Intrusion detection agent to be installed on the node, and the corresponding energy consumption occurs when the survival time is reduced. On a node that can monitor a lot of traffic in order to increase the effect of intrusion detection, an intrusion detection agent should be placed. Therefore, in this paper, by taking advantage of the structure of Ad-hoc wireless network, considering the maximum living time of the network, while at the same time, the effectiveness of intrusion detection and intrusion detection by proposing a plan for installing the agent. Also improve the system performance by reducing the network load on each network, a system designed for data aggregation to reduce data redundancy, network energy consumption by reducing.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.479-482
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• 2011

This paper proposes a design of a ship backbone network-based on the survival and efficiency of the ship network. Currently IEC operates the standard ship network, a standard specification "IEC 61162-410 maintains the operation of the network. IEC 61162-410 offers a high stability of the ship network by using terminal equipment. But current studies are incomplete because it has been assumed that the ship's network will operate at double its current capacity. This paper analyzes the double ship backbone topology for an organization and then will summarise the minimum costs required to implement the ship backbone topology using an ILP. Also, we present an effective traffic assignment technique that uses an ILP, metaheuristic, heuristic algorism-based underlying the ship backbone network. The results by experimenting the design of the network confirmed a greter efficiency, stability and cost-effectiveness of the ship network.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2001.10a
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• pp.156-161
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• 2001

Currently, agricultural facilities are evaluated using either basic inspections or detailed analysis. However, conventional analyses as well as methods based on fuzzy logic and rule of thumb have not been very successful in providing a clear relationship between rating and real state of agricultural facilities, because they can't provide exactly acceptable reliability of degraded structures with manager or supervisor. Therefore, in this stage, we must define probabilistic variables for representing degradation of structures being given damages during a survival time. This paper describes the application of neural network system in developing the relation between subjective ratings and parameters of agricultural reservoir as well as that between subjective and analytical ratings. It is shown that neural networks can be trained and used successfully in estimating a rating based on several parameters. The specific application problem for agricultural reservoir in the rural area of Korea is presented and database is constructed to maintain training data set, the information of inspection and facilities. This study showed that a successful training of a neural network could be useful, especially if the input data set for target problem contains parameters with a diverse combination of inter-correlation coefficients. And the networks had a prediction rating of about $^{\ast}^{\ast}^{\ast}%$. The neural network system is expected to show high performance fairly in estimate than statistical method to use equation that is consisted of very lowly interrelated variables.

• East Asian Economic Review
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• v.26 no.2
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• pp.119-142
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• 2022

This paper uses social network theory and the internationalization process model (IPM) to determine how external network linkages influence the location choices of multinational enterprise from emerging economies (EMNEs); specifically, whether past alliance experience influences location choices and its impact on the subsequent entry of MNEs from emerging economies. This paper applies survival analysis using initial and secondary investments from 2,000 Chinese A-share listed companies that entered 90 countries between 1997 and 2018 to analyze both the initial and subsequent entries of Chinese outward foreign direct investments (OFDIs) in major host countries. The findings indicate that an MNE's previous experience with a company from a particular country will increase the likelihood of an initial investment in that country. Previous alliance experience may accelerate the foreign investment process of EMNE and stimulate firms making a commitment to a position in a foreign network, regardless of cultural distance and stage of internationalization. Alliance before initial investment may increase the likelihood and speed of entering a host country as wholly owned subsidiaries and that network linkages not only significantly influence the internationalization process of small and medium-sized enterprises, as indicated by the IPM, but also that of large listed firms.

• Proceedings of the Safety Management and Science Conference
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• 2005.11a
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• pp.171-184
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• 2005

Today, the usage of DB already becomes an important issue for many companies' survival, especially, for the companies who have adopted CRM(Customer Relationship Management). CEM(Customer Experience Management), as a practical alternative, can settle it. In this paper, we use QFD(Quality Function Deployment) and GA(Genetic Algorithm)-based Group ANP(Analytic Network Process) to construct the Integrated CEM Model to help company decide the priorities of investment in customer experiences.

• Neonatal Medicine
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• v.25 no.2
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• pp.53-57
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• 2018

Even with the increasing number of high risk infants, neonatal care in Korea has undergone development with improved survival rate. This rapid improvement in the outcomes brought care quality in neonatal intensive care unit (NICU) to the surface. Quality improvement (QI) involves safe, timely, effective, efficient, equitable, and patient-centered care. In this review, methods of QI are described with examples of NICU QI topics. Each NICU can voluntarily develop a QI project, but systematic supports are essential. As human and systemic resources in NICUs in Korea are insufficient, institutional and national supports are necessary to attain QI. Furthermore, collaborative neonatal network can provide a QI standard and evidence based-medicine, as well as QI research.

• Management Science and Financial Engineering
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• v.9 no.1
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• pp.29-49
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• 2003

This paper develops channel reallocation methodologies for survival transmission networks, Any failure on a high-speed telecommunication network needs to be restored rapidly and a channel real-location methodology has an important role for the fast restoration. This paper considers the channel reallocation problems under a line restoration with distributed control, where the line restoration restores the failed channels by rerouting the channels along the two alternative routes. The objective is to determine the optimal number of rerouting channels on the alternative rerouting paths of a given transmission network, where the optimality criteria are the first, the last and the mean restoration times. For each criterion, the problem is formulated as a mixed integer programming and the optimal channel reallocation algorithm is suggested based upon the characterization of the optimal solution.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.359-363
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• 2022

The COVID-19 pandemic that occurred in 2020 had an impact on nearly every organization, including the technology-oriented ones. The effects have ranged from minimal hazards to serious interruptions, but also thriving enterprises, depending on the various industry areas of the companies. During this period, the ability to move quickly and to be resilient have been necessary for survival. To fight the pandemic, software developers worldwide had come up with several technological developments and advancements. This paper will focus on the changes COVID-19 brought to software development, the processes that software firms followed during the pandemic, and any recommendations needed to help software development during pandemics.