• Journal of the Korean Statistical Society
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• v.25 no.4
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• pp.567-576
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• 1996

The multiprocess dynamic survival model is proposed for the application of the regression model on the analysis of survival data with time-varying effects of covariates : where the survival data consists of numbers of deaths at certain time-points. The algorithm for the recursive estimation of a time-varying parameter vector is suggested. Also the algorithm of forecasting of numbers of deaths of each group in the next time interval based on the information gathered until the end of current time interval is suggested.

• IEMEK Journal of Embedded Systems and Applications
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• v.2 no.2
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• pp.95-100
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• 2007

Recently ubiquitous application services are developed plentifully using RFID techniques in the field of distribution and security industries. However, except these field the applications using RFID are not mature yet. In this study, we proposed a real-time context service model of the u-conference based on the real-time contextual information acquired from conference and exposition. With collection of real-time contextual information for u-conference, the model can provide a lot of information services on the state of session attendee, doorway control, affairs, user certification, presentation progress etc. For the verification of proposed real-time context service model of u-conference, we design and implement the conference progress state service included the state of session attendee, user certification and presentation progress etc. This service provides the presentation state information included the current presenter, the paper list, the number of session attendee, the schedule and place of each session using the collecting RFID tag and the related information.

• Journal of Information Technology Services
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• v.5 no.3
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• pp.165-172
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• 2006

In this paper, we designed a new type of X-internet framework by using Flash component and server service API and analyzed its performance. Proposed X-internet framework uses Flash MX Professional 2004, Java, and software which opened middleware and database. Since proposed framework use the server service API that we developed in this paper and Flash player, this framework does not need server module. Proposed framework enables to obtain design with dynamic user interface compare to Web application and enables to reduce development time. In analytical results, it has been shown that proposed x-internet framework have efficient characteristics such as network traffic, low development cost and dynamic user interface implementation. Since proposed X-internet framework can operate in environment of current developer friendly, it is useful for development of various new application programs and we confirm it through Flash web mail implementation by using proposed x-internet framework.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.11
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• pp.4347-4366
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• 2015

Distinguished with traditional strategies which offload an application's computation to a single server, parallel computation offloading can promote the performance by simultaneously delivering the computation to multiple computing resources around the mobile terminal. However, due to the variability of communication and computation environments, static application component multi-partitioning algorithms are difficult to maintain the optimality of their solutions in time-varying scenarios, whereas, over-frequent algorithm executions triggered by changes of environments may bring excessive algorithm costs. To this end, an adaptive application component mapping algorithm for parallel computation offloading in variable environments is proposed in this paper, which aims at minimizing computation costs and inter-resource communication costs. It can provide the terminal a suitable solution for the current environment with a low incremental algorithm cost. We represent the application component multi-partitioning problem as a graph mapping model, then convert it into a pathfinding problem. A genetic algorithm enhanced by an elite-based immigrants mechanism is designed to obtain the solution adaptively, which can dynamically adjust the precision of the solution and boost the searching speed as transmission and processing speeds change. Simulation results demonstrate that our algorithm can promote the performance efficiently, and it is superior to the traditional approaches under variable environments to a large extent.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.258-260
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• 2004

The Controller Area Network (CAN) is being widely used in real-time control applications such as automobiles, aircraft, and automated factories. Unfortunately, CAN, in its current form, is not able to either share out the system bandwidth among the different devices fairly or to grant an upper bound on the transmission times experienced by the nodes connected to the communication medium as it happens, for instance, in the token-based networks. In this paper, we present An Application Layer Design for Humanoid Robot in the CAN. Besides introducing the new algorithm, this paper also presents some performance figures obtained using a specially developed software simulator and experimentation for composition of CAN which uses JTAG mode of a parallel debugging., while the behavior of the new algorithm is compared with the traditional CAN systems. in order to see how effective they are.

• Proceedings of the KWS Conference
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• 2007.11a
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• pp.73-75
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• 2007

The resistance spot weld is among the most common automotive weld method, now a constant current type is the most common used types. A constant current type have a weak point which can not deal with a defect occurrence by external factors, and recently the adaptive resistance spot weld have been applied around the advanced automotive company. This technology can maintain a stable weld quality through a suitable control the current and weld time with weld environment. In this research, the adaptive resistance spot weld is applied to high strength steels, and its application possibility and weld characteristics are presented.

• Transactions of the Korean Society of Automotive Engineers
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• v.9 no.6
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• pp.76-84
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• 2001

Generally fuel injection system using solenoid have some problems between control signal and mechanical movement like as time lag. Main purpose of the present study is to help the design optimization of GDSI for real engine application. We have adopted two different solenoid driving circuit, namely saturation and pick-hold type and have investigated experimentally the current, needle force, needle opening duration and injection quantity. The pick-hold type driving circuit surpassed a saturation type in the response time and pression control of injection quantity. Accordingly, Using characterization data of operating factors such as time constant, driving force and so on, can be evaluated and adjusted to obtain an optimum injector performance.

• The Journal of Korean Physical Therapy
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• v.26 no.6
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• pp.436-441
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• 2014

Purpose: The objective of this study was to offer clinical primary data that it's aims to examine effects of transcranial direct current stimulation (tDCS) on cognitive function and biochemical change of rat with alzheimer's disease(AD) induced by injecting scopolamine. Methods: Subjects were instructed cognitive dysfunction model, rat of Sprague-Dawley system was injected with scopolamine and each experimental group was classified into three; group I (n=16) is non-treatment groups; group II (n=16) is applied with the tacrine; group III (n=16) is applied with the tDCS. The ziggurat task test was conducted to observe behavioral changes and cognitive function ability and 7, 14, 21, 28 days after the model. Acetylcholine Esterase (Ach E) activity was examined for biochemical assessment of which the results are followed. Results: Participants showed as to behavioral change, tacrine application group was the most significantly responded, following tDCS application group. As to biochemical change, same as above, tacrine application group was the most significantly responded, following tDCS application group. Conclusion: From these results, confirm that tDCS application to rat with alzheimer's disease leads to positive effects on behavioral, cognitive function changes, and biochemical changes, lasting for certain period of time. This study, in particular, tDCS, which can change excitability of brain cells non-invasively, could provide basic data that is useful as a new treatment way for the patients with cognitive dysfunction.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.10
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• pp.1216-1227
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• 2019

We propose TITAN (Tool for IoT ApplicatioN testing), a developer support tool that enables efficient testing of IoT applications. TITAN is designed to allow IoT application developers to run their applications under the development environment without being restricted by physical environments and users' behaviors required to test application logic being developed. Using TITAN, IoT application developers can save the time and effort needed to repeatedly perform the testing of application logic while they develop their applications. In this paper, we present the system architecture of TITAN and its current prototype implementation. We evaluate the usefulness and usability of TITAN through a small user study with two example IoT applications. The study participants show their positive perception about the usefulness of TITAN. We further discuss the limitations of the current study and future research directions.

• Communications for Statistical Applications and Methods
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• v.24 no.1
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• pp.1-13
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• 2017

This manuscript summarized advances in bootstrap methods for long-range dependent time series data. The stationary linear long-memory process is briefly described, which is a target process for bootstrap methodologies on time-domain and frequency-domain in this review. We illustrate time-domain bootstrap under long-range dependence, moving or non-overlapping block bootstraps, and the autoregressive-sieve bootstrap. In particular, block bootstrap methodologies need an adjustment factor for the distribution estimation of the sample mean in contrast to applications to weak dependent time processes. However, the autoregressive-sieve bootstrap does not need any other modification for application to long-memory. The frequency domain bootstrap for Whittle estimation is provided using parametric spectral density estimates because there is no current nonparametric spectral density estimation method using a kernel function for the linear long-range dependent time process.