Daejeon, South Korea
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Jeong Y.-S.,Mokwon University
Journal of Computer Virology and Hacking Techniques | Year: 2017

Recently, it has become possible for the hospital environment to provide medical services to patients anywhere by integrating IT technology in medical devices. However, medical services in the current environment face a problem in that identifiable patient information cannot be safely transferred to the medical staff when the patient is receiving medical services. In this paper, we propose a mandate-based signature authentication protocol that can safely deliver the personal information of patients to the medical personnel providing the medical services. In the proposed protocol, the patient information being delivered is encrypted with a signature key and random-generated number in order to avoid exposure to a third party capable of identifying the information of the patient. In addition, the proposed protocol maintains the synchronization between patients and staff based on the rating of the medical personnel in order to prevent the illegal abuse of patient information from a third party. In particular, the proposed protocol ensures access only to staff members who have received a mandate from the hospital to care for the patient. The performance and security of the proposed protocol are evaluated separately. In the performance evaluation, the proposed protocol‘s authentication latency showed an average improvement of 6.5% over the previous protocol. Throughtput was 8% higher than the previous protocol, and the authentication overhead improved by an average of 5.3%. © 2017 Springer-Verlag France


Jung Tae Kim T.,Mokwon University
Applied System Innovation - Proceedings of the International Conference on Applied System Innovation, ICASI 2015 | Year: 2016

The Internet of Things (IoT) refers to the uniquely identifiable objects that can interact with other objects through the medium of wireless and wire communication. Connecting the small devices to the terminal of Internet, the devices such as RFID, NFC, and sensor nodes can be identified and tracked, and can monitor the objects attached with tags in real time. This is so-called Internet of Things (IoT). A sensor is often regarded as a prerequisite device for the IoT. In this paper we introduced and surveyed the critical issues for technologies and securities of the IoT and discussed the applications and challenges of a home network related to the IoT systems. © 2016 Taylor & Francis Group.


Ku J.-H.,Mokwon University
Wireless Personal Communications | Year: 2017

With the development of the internet of things, which is widely applied not only to everyday objects but also to industrial areas, the production of big data is accelerating. To provide intelligent services without human intervention in the internet of things environment, intelligent communication between objects becomes the key, and since the failure of the mechanical equipment attached to the sensor causes malfunction of the object and product failure, big data analysis to predict equipment failure is becoming more important. The purpose of this study is to propose a model for predicting mechanical equipment failure from various sense data collected in the manufacturing process. This study constructed a RHadoop-based big data platform to distribute a large amount of datasets for research, and performed logistic regression modeling to predict the main variables causing the failure from various collected variables. As a result of the study, the main variables in the manufacturing process that cause equipment failure were derived from the collected sense data, and the fitness and performance evaluation for the prediction model were made using the ROC curve. As a result of the performance evaluation of the prediction model, the ROC curve showed a fairly high prediction accuracy with AUC close to 1. The results of this study are expected to be applicable to the prediction of malfunctions, product failure, or abnormal communication between objects due to miscellaneous product faults in our daily lives in the internet of things environment. © 2017 Springer Science+Business Media New York


Yoon M.,Mokwon University
PPAR Research | Year: 2010

Peroxisome proliferator-activated receptor (PPAR ) is a member of the steroid hormone receptor superfamily and is well known to act as the molecular target for lipid-lowering drugs of the fibrate family. At the molecular level, PPAR regulates the transcription of a number of genes critical for lipid and lipoprotein metabolism. PPAR activators are further shown to reduce body weight gain and adiposity, at least in part, due to the increase of hepatic fatty acid oxidation and the decrease in levels of circulating triglycerides responsible for adipose cell hypertrophy and hyperplasia. However, these effects of the PPAR ligand fenofibrate on obesity are regulated with sexual dimorphism and seem to be influenced by the presence of functioning ovaries, suggesting the involvement of ovarian steroids in the control of obesity by PPAR . In female ovariectomized mice, 17 -estradiol inhibits the actions of fenofibrate on obesity through its suppressive effects on the expression of PPAR target genes, and these processes may be mediated by inhibiting the coactivator recruitment of PPAR . Thus, it is likely that PPAR functions on obesity may be enhanced in estrogen-deficient states. Copyright © 2010 Michung Yoon.


Kim J.T.,Mokwon University
Communications in Computer and Information Science | Year: 2012

As telecommunication technologies in telemedicine services are developed, the expeditious development of wireless and mobile networks has stimulated wide applications of mobile electronic healthcare systems. However, security is an essential system requirement since many patients have privacy concerns when it comes to releasing their personal information over the open wireless channels. Due to the invisible feature of mobile signals, hackers have easier access to hospital networks than wired network systems. This may result in several security incidents unless security protocols are well prepared. In this paper, we analyzed authentication for healthcare system architecture to apply secure mobile health systems in the hospital environment. From the analyses, we can estimate optimal requirements to implement topology of system and its vulnerabilities. © 2012 Springer-Verlag.


Park D.,Mokwon University | Yoon M.,Mokwon University
Biochemical and Biophysical Research Communications | Year: 2012

Compound K, a novel ginsenoside metabolite formed by intestinal bacteria, is shown to inhibit angiogenesis and matrix metalloproteinase (MMP) activities. Since growth and development of adipose tissue are thought to require adipogenesis, angiogenesis, and extracellular matrix remodeling, we investigated whether compound K inhibits adipocyte differentiation and its potential mechanisms. Treatment of 3T3-L1 adipocytes with compound K inhibited lipid accumulation and expression of adipocyte-specific genes (i.e., PPARγ, leptin, aP2, and C/EBPα). Compound K decreased mRNA levels of angiogenic factors (i.e., VEGF-A and FGF-2) and MMPs (i.e., MMP-2 and MMP-9), whereas it increased mRNA levels of angiogenic inhibitors (TSP-1, TIMP-1, and TIMP-2) in 3T3-L1 cells. MMP-2 and MMP-9 activities were also decreased in compound K-treated cells. These results demonstrate that compound K effectively inhibited adipogenesis and that this process may be mediated in part through changes in the expression of genes involved in angiogenesis and MMP system. Thus, by suppressing adipogenesis, compound K likely has therapeutic potential for the treatment of obesity and related disorders. © 2012 Elsevier Inc.


Jeong S.,Mokwon University | Yoon M.,Mokwon University
International Journal of Sport Nutrition and Exercise Metabolism | Year: 2012

Ovariectomy leads to weight gain primarily in the form of adipose tissue in rodents. The authors investigated whether swimming improves ovariectomy-induced obesity through activation of peroxisome proliferator-activated receptor α (PPARα) in the skeletal muscle of female ovariectomized (OVX) mice, an animal model of postmenopausal women. Female mice were randomly divided into 3 groups (n = 8/group): a sedentary sham-operated group, a sedentary OVX group, and a swim-trained OVX group. After mice were subjected to swim training or kept sedentary for 6 wk, the authors studied the effects of swimming on not only body-weight gain, white adipose tissue (WAT) mass, adipocyte size, and skeletal-muscle lipid accumulation but also the expression of skeletal-muscle PPARα target genes. Sedentary OVX mice had significantly higher body weight and WAT than sedentary sham mice. However, swim training reduced body-weight gain, WAT mass, and adipocyte size of OVX mice. Swim-trained OVX mice had significantly lower levels of serum triglycerides and total cholesterol than sedentary OVX mice. Lipid accumulation in skeletal muscle was also markedly decreased by swimming. Concomitantly, swim training significantly increased mRNA levels of skeletal-muscle PPARα and its target enzymes, as well as uncoupling protein 3 (UCP3) responsible for fatty-acid oxidation. These results suggest that swimming can effectively prevent weight gain, adiposity, adipocyte hypertrophy, and lipid disorders caused by ovariectomy, in part through the activation of PPARα and UCP3, in the skeletal muscle of female mice and may contribute to the alleviation of metabolic syndrome, including obesity, hyperlipidemia, and Type 2 diabetes in postmenopausal women. © 2012 Human Kinetics, Inc.


Jeong S.,Mokwon University | Yoon M.,Mokwon University
Acta Pharmacologica Sinica | Year: 2011

Aim:To investigate the molecular interaction of peroxisome proliferator-activated receptor γ (PPARγ) with 17β-estradiol (E) in the regulation of adipogenesis. Methods: Female ovariectomized (OVX) mice and differentiated 3T3-L1 adipocytes were treated with combinations of the PPARγ agonist troglitazone or E, and the variables and determinants of adipogenesis were measured using in vivo and in vitro approaches. Results: Troglitazone (250 mg-kg -1-d -1 for 13 weeks) decreased the size of adipocytes without the change in white adipose tissue (WAT) mass and increased the expression of adipocyte-specific genes, such as PPARγ, adipocyte fatty acid binding protein, and lipoprotein lipase, compared with OVX control mice. E (0.05 mg/pellet, sc implanted) significantly reduced WAT mass, adipocyte size, and adipose marker gene expression. When mice were concomitantly treated with troglitazone and E, E blunted the effects of troglitazone on WAT mass, adipocyte size, and adipose PPARγ target gene expression. Consistent with the in vivo data, E (10 μmol/L) treatment inhibited lipid accumulation and the expression of adipocyte-specific genes caused by troglitazone (10 μmol/L) in 3T3-L1 cells. E (10 μmol/L) also decreased troglitazone-induced PPARγ reporter activity through both estrogen receptor (ER) α and ERβ. Mechanistic studies indicated that E (0.1 μmol/L) decreased the DNA binding of PPARγ induced by troglitazone (1 μmol/L) and inhibited the recruitment of the PPARγ coactivator CREB-binding protein.Conclusion:These results suggest that in vivo and in vitro treatment of E interferes with the actions of PPARγ on adipogenesis by down-regulating adipogenesis-related genes, which are mediated through the inhibition of PPARγ coactivator recruitment. In addition, it is likely that the activities of PPARγ activators may be enhanced in estrogen-deficient states. © 2011 CPS and SIMM All rights reserved.


Oh S.-H.,Mokwon University
Neurocomputing | Year: 2011

Classification of imbalanced data is pervasive but it is a difficult problem to solve. In order to improve the classification of imbalanced data, this letter proposes a new error function for the error back-propagation algorithm of multilayer perceptrons. The error function intensifies weight-updating for the minority class and weakens weight-updating for the majority class. We verify the effectiveness of the proposed method through simulations on mammography and thyroid data sets. © 2010 Elsevier B.V.


Cho Y.H.,Mokwon University
Progress in Electromagnetics Research Letters | Year: 2012

An infinitely flanged coaxial line is analytically solved with the mode-matching technique and Green's function to propose a precise yet fast-convergent scattering solution for complex permittivity measurement. Based on virtual current cancelation, we formulate the open half-space fields in terms of coaxial modes and related Green's functions and thus obtain the simultaneous equations with rapidly convergent integrals. Numerical computations were performed in terms of reflection coeffcients and radiation patterns.

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