• Communications for Statistical Applications and Methods
• /
• 제4권2호
• /
• pp.453-463
• /
• 1997

Nonparametric kernel regression has recently gained widespread acceptance as an attractive method for the nonparametric estimation of the mean function from noisy regression data. Also, the practical implementation of kernel method is enhanced by the availability of reliable rule for automatic selection of the bandwidth. In this article, we propose a method for automatic selection of the bandwidth that minimizes the asymptotic mean square error. Then, the estimated bandwidth by the proposed method is compared with the theoretical optimal bandwidth and a bandwidth by plug-in method. Simulation study is performed and shows satisfactory behavior of the proposed method.

• Environmental Analysis Health and Toxicology
• /
• 제20권4호통권51호
• /
• pp.259-271
• /
• 2005

Engineered nanoparticles exhibit a variety of unique and tunable chemical and physical properties. These unique properties make the nanoparticles central components and widespread potential applications in nanoindustry. However, the potential toxicities of nanoparticles have not been fully evaluated. Recently, the impacts of nanoparticles to human and environment became the emerging issue of toxicology. In this article, physicochemical properties and toxicities of carbon nanotube, fullerene, quantum dots, and other types of nanomaterials were reviewed and the strategy of risk assessment were suggested based on the frame of chemical assessment.

• Journal of Pharmaceutical Investigation
• /
• 제41권2호
• /
• pp.59-65
• /
• 2011

Nanotechnology for cancer therapy is playing a pivotal role in dramatically improving current approaches to cancer detection, diagnosis, and therapy while reducing toxic side effects associated with previous cancer therapy. A widespread understanding of these new technologies will lead to develop the more refined design of optimized nanoparticles with improved selectivity, efficacy and safety in the clinical practice of oncology. This review provides an integrated overview of applications and advances of nanotechnology in cancer therapy, based on molecular diagnostics, treatment, monitoring, target drug delivery, approved nanoparticle-based chemotherapeutic agents, and current clinical trials in the development of nanomedicine and ultimately personalized medicine.

• 대한약학회:학술대회논문집
• /
• 대한약학회 2002년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2
• /
• pp.149-150
• /
• 2002

Despite various efforts on improving vaccines and antivirals, influenza epidemics continue to afflict many people, causing widespread morbidity and mortality in the young and the elderly. Since the discovery of the unusual 'cap-stealing'mechanism of transcription, significant advances were made on molecular aspects of influenza gene regulation. This provides new insights for developing new antiviral compounds. Reverse genetic technologies have also been advanced for generating recombinant chimeric viruses suitable for designing live vaccine. (omitted)

• Communications for Statistical Applications and Methods
• /
• 제6권2호
• /
• pp.533-542
• /
• 1999

Widespread of internet causes rapid changes in many areas of statistics such as statistical computation and education. In this paper the efficient methods for statistical software development on the internet environment are introduced. Also the developed examples about monte-carlo permutation tests for two-way contingency tables using Microsoft COM (Component Obejct Model) technology are presented.

• 한국세라믹학회지
• /
• 제24권6호
• /
• pp.602-604
• /
• 1987

The high TcY1Ba2Cu3Ox superconductor has recently gained widespread interest in the scientific community. The principal problems at the present time are how to densify this material and how to raise the critical current density. To date the majority of samples have had densities of 90%(of theoretical) or less. In this study we report that we obtained density of 96% by Hot-Pressing method.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2002년도 ICCAS
• /
• pp.89.3-89
• /
• 2002

Plasma processing plays a crucial role in fabricating integrated circuits (ICs). Manufacturing ICs in a cost effective way, it is increasingly demanded a computer model that predicts plasma properties to unknown process inputs. Physical models are limited in the prediction accuracy since they are subject to many assumptions. Expensive computation time is another hindrance that prevents their widespread used in manufacturing site. To circumvent these difficulties inherent in physical models, neural networks have been used to learn nonlinear plasma data. A generalized regression neural network (GRNN) [I] is one of the architectures that have been widely used to analyze complex chemical data. I...

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2002년도 ICCAS
• /
• pp.46.2-46
• /
• 2002

Plasma processing plays a crucial role in fabricating integrated circuits (ICs). Manufacturing ICs in a cost effective way, it is increasingly demanded a computer model that predicts plasma properties to unknown process inputs. Physical models are limited in the prediction accuracy since they are subject to many assumptions. Expensive computation time is another hindrance that prevents their widespread used in manufacturing site. To circumvent these difficulties inherent in physical models, neural networks have been used to learn nonlinear plasma data [1]. Among many types of networks, a backpropagation neural network (BPNN) is the most widely used architecture. Many training variables are...

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
• /
• pp.1122-1126
• /
• 1991

As microcomputers have become widespread and the high speed solenoid valves have been developed, digitally controlled hydraulic systems are used in many applications. This study deals with position control of hydraulic cylinder operated by two port 3-way high speed solenoid valve using a self-learning strategy. This was done by developing a control algorithm for the microcomputer which always automatically adjust the length of control pulse to the optimum value in accordance with the error regardless of changes in the operating condition and physical differences between components. Tests carried out in the laboratory indicate that a positional accuracy could be improved.

• 한국전자거래학회:학술대회논문집
• /
• 한국전자거래학회 2005년도 e-Biz World Conference 2005
• /
• pp.215-220
• /
• 2005

For widespread adoption for the RFID technology, RFID middleware is considered as the key enabler of the RFID evolution while it manages the flow of data between tag readers and enterprise applications and is responsible for the quality, and therefore usability, of the information. In this paper, we introduce the recent researches and developments of RFID middleware and explain the software framework of the RFID middleware which is currently developed in ETRI. In conclusion, our experiences with the current implementation are presented