Sangjin Jeong

A Novel Model for Metabolic Syndrome Risk Quantification Based on Areal Similarity Degree

Metabolic syndrome (MS) refers to a clustering of specific cardiovascular disease (CVD) risk factors whose underlying pathology is thought to be related to insulin resistance. The risk factors include insulin resistance, obesity, dyslipidemia, and hypertension and it is known to increase the risk for CVD and type II diabetes. Since MS helps to identify individuals at high risk for both CVD and type II diabetes, it has become a major public healthcare issue in many countries. There has been much effort to establish diagnostic criteria for MS, but the current diagnostic criteria of MS have weaknesses, such as binary decision based on diagnostic criteria, equal weight among risk factors, and difficulty in estimating the temporal progress of the risk factors. To resolve these problems, this paper proposes a risk quantification model for MS, which is based on areal similarity degree analysis between weighted radar charts comprising MS diagnostic criteria and examination results of risk factors. The clinical effectiveness of the proposed model is extensively evaluated by using data of a large number of subjects obtained from the third Korea National Health and Nutrition Examination Survey. The evaluation results show that the proposed model can quantify the risk of MS and effectively identify a group of subjects who might be classified into a potential risk group for having MS in the future.

Route Optimization Scheme for Proxy Mobile IPv6 (PMIPv6)

This paper describes route optimization support for Proxy Mobile IPv6 (PMIPv6). The protocol specified in the paper leverages route optimization procedures defined in Mobile IPv6 and extend the procedures in order to apply for PMIPv6. The protocol supports route optimization for both IPv6 mobile nodes and IPv4 mobile nodes. Route optimization over IPv4 transport network is also supported.

A personalized healthcare system for chronic disease care in home-hospital cloud environments

The increasing number of patients having chronic diseases is becoming an important issue in many countries. Since a patient having chronic disease usually spends most of time with self-management in out-of-hospital environments, particularly at home environment, and patients have different disease statuses and management requirements, it is important to provide integrated and personalized healthcare services for the patients. However, many studies aim to develop integrated and computationally efficient healthcare systems, and the development of personalized patients customizable healthcare system is less considered. To resolve this issue, we propose a cloud-based personalized healthcare system for chronic disease care. The proposed system provides several chronic disease care services including metabolic syndrome care services. Further, the service broker module within the proposed personalized healthcare system, which supports dynamic provision and configuration of personalized at-home healthcare system in cloud environments, is described. Finally, the prototype implementation of the proposed personalized healthcare system including the service broker and mobile applications for patients are presented. We expect the proposed personalized healthcare system to be applicable to provide cost effective and personalized chronic disease care.

A holistic investigation method for data center resource efficiency.

The rapid increase in energy consumption of data centers accelerates the development of metrics for measuring data center energy efficiency. In response to this demand, ISO/IEC JTC1/SC39 is developing ISO/IEC 30134 series standards defining multiple key performance indicators (KPIs) for measuring data center resource efficiency. However, there is another emerging demand to observe the overall trend of all KPIs in a single view and the inter-relationship among the KPIs. The main objective of this paper is to describe the general holistic investigation method and identify issues associated with various strategies. Then it proposes a control chart-based holistic investigation method for resource efficiency evaluation and interrelationship identification of data center multiple KPIs. Through the SWOT analysis on the holistic investigation method presented in this paper, the usefulness and applicability of holistic investigation method are discussed.

A method for identifying temporal progress of chronic disease using chronological clustering

The development of an integrated and personalized healthcare system is becoming an important issue in the modern healthcare industry. One of main objectives of integrated healthcare system is to effectively manage patients having chronic disease. Different from acute disease, chronic disease requires long term care and its temporal information plays an important role to manage the status of disease. Thus, a patient having chronic disease needs to visit the hospital periodically, which generates large volume of medical data. Among the various chronic diseases, metabolic syndrome has become a major public healthcare issue in many countries. There have been efforts to develop a metabolic syndrome risk quantification and prediction model and to integrate them into personalized healthcare system, so as to predict the risk of having metabolic syndrome in the future. However, the development of methods for temporal progress management of metabolic syndrome has not been widely investigated. In this paper, we propose a method for identifying a temporal progress and patients status of metabolic syndrome. Further, the effectiveness of the proposed method is evaluated using a sample patient data while emphasizing the capability to identify chronological changes of metabolic syndrome status.

A Handover Scheme Supporting IPv4-IPv6 Traversal over Network-based Mobility Management Domains

As IPv6 being more widely deployed, dual stack mobile nodes will move into IPv6 or IPv4 only network. In this environment, maintaining IP connectivity during handover is not possible. Conventional IP mobility management protocols, such as MIP (mobile IP) can not support mobile nodes handover between IP networks with different IP versions. In order to address this problem, IETF MIP6 WG proposed MIPv6 based solution. However, in the MIPv6 based solution, mobile nodes need to have mobility management stack and require host software update. Also, mobile nodes participate in mobility management process. The NetLMM (network-based localized mobility management) is expected to be one of the prominent ways to support IP mobility to mobile nodes, because it overcomes the disadvantages of MIPv6. This paper addresses the handover problem of dual stack mobile nodes when the mobile nodes roam over IPv4 and IPv6 NetLMM domains. We extend the conventional NetLMM scheme to support IPv4-IPv6 traversal between NetLMM domains that have different IP versions. The proposed handover management scheme enables the exchange of mobile nodes binding update message between NetLMM domains.

Optimal file replication scheme(CO-RLS) for data grids

Distributed scientific and engineering applications often require access to large amounts of data. Access to distributed data is typically as important as access to distributed computational resources. One of major components in grid middlewares is the replica management that creates replicas of a data, determines their location, and selects them for retrieval. We propose Optimal File Replication Scheme (CO-RLS) based on users cost and deadline requirements. Our proposed CO-RLS minimizes the total replication costs under the two constraints. One is replication cost that is storage cost at remote sites and the other is transfer time from data source to multiple candidate sites. We expect our proposed scheme can be used to enhance the performance of data grids middlewares.

An energy efficiency evaluation scheme for manufacturing facility

The rapid increase in energy consumption of manufacturing industries accelerates the development of metrics for measuring manufacturing facility energy efficiency. In response to this demand, various metrics such as cost, delivery, energy efficiency, quality, flexibility, etc. for measuring the efficiency of manufacturing facility are under development. However, since multiple efficiency metrics are under development, it becomes necessary to develop simple and effective method for assessing manufacturing facility energy efficiency by using multiple metrics. Currently, spider web chart and control chart that extends the capability of spider web chart are commonly used in various industries in order to effectively analyze the efficiency. The spider web chart and control chart method provide an easy comparison of holistic energy efficiency among multiple manufacturing facility or temporal trend. But, it is known that those methods have limitations such as equal weights on metrics and no overall evaluation. In order to resolve the limitations, we propose a weighted spider web chart model. The main objective of this paper is to present the general weighted spider web chart model and investigate the usefulness and applicability of the proposed weighted spider web chart model through the strength-weakness-opportunity-threat (SWOT) analysis.

An efficient replication scheme for data grids

Grid replication service improves availability in terms of storing multiple data at the distributed locations, however there is not any economic scheme to decide the location of multiple replicas. In this paper, we introduce the tree-based replica location scheme (TRLS) to decide the replica locations. The objective of TRLS is to minimize the sum of storage cost and communication cost of the replication, and the problem is solved using linear programming. The performance of proposed model is evaluated based on a manually created network topology. From the evaluation results, we present that the total replication cost increases exponentially according to the number of replicas and the number of hop counts is reduced by adapting relative weights to the scheme.

Tree-based replica location scheme (TRLS) for data grids

Data grids provide researching groups with data management services such as Grid-Ftp, Reliable File Transfer Service (RFP), and Replica Location Service (RLS). Especially, Replica Location Service could improve data availability by storing multiple data to the distributed location. However, there is no economic scheme to decide the location of multiple replicas. In this paper, we propose Tree-based Replica Location Scheme (TRLS) that could support users to decide optimally the location of multiple replicas as well as the number of replicas. By TRLS, we could minimize the replication cost since it supports us to find an optimal location, satisfying both storage cost and communication cost at the same time. In addition to, we could decide the number of replicas to satisfy users requirements. By minimizing cost, we make an economic decision, and we expect our proposed scheme could be regarded as a basic economic model.