In order to estimate the life of 2,5 inch HDD which is adopted by PC environment, make the test plan which reflect the failure mode of market, make the test model of accelerated life test which reflect the stress of temperature. after an analysis of the environment of PC using, test procedure was decided that operation was write 50 % and read 50 %, and then access method was sequential 50 % and random 50%. The acceleration life test was executed on condition that temperature was $50^{\circ}C$ and $60^{\circ}C$, performance was 95 % in max performance, test time was 1000 hours. by the test of goodness of fit of anderson-darling of the failure data during test, it was confirmed that the distribution of failure fellow weibull. test for shape and scale was equal, and shape parameter was 0.7177, characteristic life was 429434 hours at normal user condition($30^{\circ}C$) by the analysis of weibull-arrhenius modeling. It made no difference about the statistics when equality test was executed. The activation energy was 0.2775eV. In analyzing between the failure samples of acceleration test and the samples of market return even though there is detail difference about the share of failure mode, the rank of share was almost same. This study suggest the test procedure of acceleration test of 2.5 inch HDD in PC using environment, and help the life estimation at manufacture and user.
The purposes of this study were to develop the experiment for gas concentration measure during combustion of a candle and to investigate the application effect of the experiment. For this study, 15 elementary school teachers were selected by considering their gender, career, 6th grade science teaching experience, and 6th grade science teaching experience according to 2007 revised s cience curriculum. The experiment using MBL is designed to confirm gas concentrations visually during the combustion of a candle which burns in an acrylic container. The experiment method is as follows. 1) Make two sets of holes in the container and then insert oxygen sensors and carbon dioxide sensors in the holes. 2) Burn a candle in the container and observe the changes in the burning of the candle. The experiment has checked oxygen concentration and carbon dioxide concentration in real-time and displays gas concentration changes by graphs. The results of the application effect of the experiment are as follows. Most elementary school teachers who had not had scientific concepts on combustion got acquainted with scientific concepts about ‘the reason why a candle is blown out when it is covered with a bottle’, and ‘the concentrations of oxygen and carbon dioxide before and after combustion’. In addition, about half of elementary school teachers got acquainted with scientific concepts about ‘the definition of combustion’, and ‘distribution of carbon dioxide during combustion’. Thus, the experiment to measure gas concentrations during combustion is helpful to improve elementary school teachers’ concepts on combustion.
The Journal of Korean Institute of Communications and Information Sciences
/
v.31
no.7A
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pp.649-658
/
2006
Recently, Software Development was applied to new-approach methods as a various form : client-server system and web-programing, object-orient concept, distributed development with a network environments. On the other hand, it be concerned about the distributed development technology and increasing of object-oriented methodology. These technology is spread out the software quality and improve of software production, reduction of the software develop working. Futures, we considered about the distributed software development technique with a many workstation. In this paper, we discussed optimal release problem based on a stochastic differential equation model for the distributed Software development environments. In the past, the software reliability applied to quality a rough guess with a software development process and approach by the estimation of reliability for a test progress. But, in this paper, we decided to optimal release times two method: first, SRGM with an error counting model in fault detection phase by NHPP. Second, fault detection is change of continuous random variable by SDE(stochastic differential equation). Here, we decide to optimal release time as a minimum cost form the detected failure data and debugging fault data during the system test phase and operational phase. Especially, we discussed to limitation of reliability considering of total software cost probability distribution.
Vibration propagated from seismic sources has damping according to distance and amplification and reduction characteristic in different regions according to topography and geological structure. The vibration propagated from the seismic source to the bedrock is largely affected by the damping according to the separation distance, which can be simply estimated through the damping equation. However, it is important to grasp geological information by location because vibration estimation transmitted to the surface are affected by the natural period of the soil located above the bedrock. Geotechnical investigation data are needed to estimate the seismic intensity based on geological information. If there is no Vs profile, the standard penetration tests are mainly used to determine the soil parameters. The Integrated DB Center of National Geotechnical Information manages the geotechnical survey data performed on the domestic ground, and there is the standard penetration test information of 400,000 holes. In this study, the possibility of quantitation the amplification coefficient for each region was examined to calculated the physical interactive seismic intensity based on geotechnical information. At this time, the shear wave column diagram was generated from the SPT-N value and ground response analysis was performed in the target area. The site coefficients for each zone and the seismic intensity distribution for the seismic motion present a significant difference according to the analysis method and the regional setting.
Han Jong-Min;Kwon So-Hee;Jung Hae-Kyoung;Kang Hong-Gu;Song Yung-sun;Lee Ki-Nam
Journal of Society of Preventive Korean Medicine
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v.8
no.1
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pp.47-58
/
2004
This study was conducted to evaluated the degree of job-related life style and stress of industrial workers to present fundamental materials of preventive oriental medicine. The medical examination with oriental medicine method was performed from October 14 to November 1, 2002 for the 474 industrial workers and general characters, life style and Psychosocial Well-being Index(PWI) were collected by using self-recording type questionnaire. The results were as follows; 1) All 474 of subjects were male, job type was distributed into technician, 37.8% of them, white collar worker, blue collar worker, research worker in an orderly fashion. 2) As a result of comparison between the job types in general characters, research worker group was the highest in education level, above 10 years group in employee duration and 1.5-2.99 million won group in monthly income was the largest group in all job type and the distribution was significantly different. 3) Analyzing the difference in life style according to the job type shows that significantly highest prevalence of drinking alcohol was found in blue collar workers, they drank alcohol 2-4 times a week and that workers did not smoke in all group of job type and the prevalence of exercise was significantly high in less than 1 time a week. 4) Analyzing the difference in the degree of stress according to the job type shows that blue collar worker group had the highest score in Factor 1, Factor 4 fields, technician group had the highest score in Factor 2 field and the differences were significant. Considering above results, the present study shows that there are difference in life style and stress according to the job type in industrial workers and that health management according to job type must be required to improve health condition and to prevent disease of industrial workers in the future.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2011.10a
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pp.824-827
/
2011
Needs for Smart Grid development are increasing all over the world as a solution to its problem according to depletion of energy resources, climatic and environmental rapidly change and growing demand for electrical power. Especially decentralized power is attracting world's attention. In this mood a new era for a unit scale of decentralized power environment is on its way in building. However there is a problem to have to be solved in the uniformity of power quality because the amount of power generated from renewable energy resources such as wind power and solar light is very sensitive to climate fluctuation. And thus this paper tries to suggest an energy management algorithm on basis of real time monitoring for meteorological data. The proposed EMS model embodies the method for predicting the power generation by monitoring and analyzing the climatic data and controling the efficient power distribution between the renewable energy and the existing power. The ultimate goal of this paper is to provide the technological basis for achieving zero-energy house.
In the context of a dynamic trading environment, the ultimate goal of the financial forecasting system is to optimize a specific trading objective. This paper proposes a two-phase (extraction and filtering) stock trading system that aims at maximizing the rates of returns. Extraction of stocks is performed by searching specific time-series patterns described by a combination of values of technical indicators. In the filtering phase, several rules are applied to the extracted sets of stocks to select stocks to be actually traded. The filtering rules are automatically induced from past data. From a large database of daily stock prices, the values of technical indicators are calculated. They are used to make the extraction patterns, and the distributions of the discretization intervals of the values are calculated for both positive and negative data sets. We assumed that the values in the intervals of distinctive distribution may contribute to the prediction of future trend of stocks, so the rules for filtering stocks are automatically induced from the data in those intervals. We show the rates of returns when using our trading system outperform the market average. These results mean rule induction method using distributional differences is useful.
A lot of work has been done to reduce disk access time in I/O intensive systems, which store and handle massive amount of data, by distributing data across multiple disks and accessing them in parallel. Most of the previous work has focused on an efficient mapping from a grid cell to a disk number on the assumption that data space is regular grid-like partitioned. Although we can achieve good performance for low-dimensional data by grid-like partitioning, its performance becomes degenerate as grows the dimension of data even with a good disk allocation scheme. This comes from the fact that they partition entire data space equally regardless of distribution ratio of data objects. Most of the data in high-dimensional space exist around the surface of space. For that reason, we propose a new declustering algorithm based on the partitioning scheme which partition data space from the surface. With an unbalanced partitioning scheme, several experimental results show that we can remarkably reduce the number of data blocks touched by a query as grows the dimension of data and a query size. In this paper, we propose disk allocation schemes based on the layout of the resultant data blocks after partitioning. To show the performance of the proposed algorithm, we have performed several experiments with different dimensional data and for a wide range of number of disks. Our proposed disk allocation method gives a performance within 10 additive disk accesses compared with strictly optimal allocation scheme. We compared our algorithm with Kronecker sequence based declustering algorithm, which is reported to be the best among the grid partition and mapping function based declustering algorithms. We can improve declustering performance up to 14 times as grows dimension of data.
The satellite visible data have been successfully applied to study the ocean color. Another ocean color sensor, the Ocean Scanning Multi-spectral Imager (OSMI) on the Korea Multi-Purpose Satellite (KOMPSAT) will be launched in 1999. In order to understand the characteristics of future OSMI images, we have first discussed the simulation models and procedures in detail, and produced typical patterns of radiances at visible bands by using radiative transfer models. The various simulated images of full satellite passes and Korean local areas for different seasons, water types, and the satellite crossing equator time (CET) are presented to illustrate the distribution of each component of radiance (i.e., aerosol scattering, Rayleigh scattering, sun glitter, water-leaving radiance, and total radiance). A method to evaluate the image quality and availability is then developed by using the characteristics of image defined as the Complex Signal Noise Ratio (CSNR). Meanwhile, a series of CSNR images are generated from the simulated radiance components for different cases, which can be used to evaluate the quality and availability of OSMI images before the KOMPSAT will be placed in orbit. Finally, the quality and availability of OSMI images are quantitatively analyzed by the simulated CSNR image. It is hoped that the results would be useful to all scientists who are in charge of OSMI mission and to those who plan to use the data from OSMI.
Hysterosalpingograms (H.S.G.) have been done for several decades to determine causative factors in female infertility. However, the H.S.G. only reverals uterine cavity and tubal patency or inpatency. The author prefers to find more details in regard to the status and condition of the female reproductive organs and their surrounding tissue as they pertain to infertility. H.S.G. in combination with laparoscopic examination reveals the following results. Preparation and method of performance of H.S.G. during laparoscopy in a healthy reproductive age women are as follows. When laparoscopy is not contraindicated, NPO is ordered with routine bowel preparation. Analgesics administered by injection prior to procedure are valium 10mgs and pethidine 50-100mgs. The radiographic procedure is the same as for any HSG technique. During laparoscopy a solution of 3 to 10 ccs. of 60% hypaque sodium is used. Fluroscopic scout films are obtained A-P and oblique views as well as a delayed check film. 1. Age distribution of primary and secondary infertility in this studies involving tubal factors was as follows: 20-29 age group showed 46% incidence and in the 30-39 age group, 50% incidence. Duration of infertility in this study group was the following: 1-2 years showed 26.7%, 3-5 years 53.8%, and 6-9 years 13.3%. 2. Indications of laparoscopic examination were as follows: Secondary infertility in 35% of the cases, obscure tubal occlusion on previous H.S.G. in 25%, unknown origin in 11.7%, and the remaining cases included pelvic pain, small masses, dysmenorrhea, and uterine anomaly. The laparoscopic examination showed clearly the reproductive organs and the surrounding tissues in the pelvic cavity. The abnormal tubal findings there revealed were tuberculous salpingitis and hydrosalpinx in 10% each, endometriosis and peritubabl adhesions in 6.7% each, biconuate uterus in 3.3%. The remaining 58.3% of the cases showed normal findings. Laparoscopic observation for possible myoma nodules, streak ovary, and peritubal adhesions was also done at this time. 3. Comparative tubal findings in combined H.S.G. and laparoscopic examination revealed the following. Bilateral tubal occlusion was present in 14% (7cases) on laparoscopic examination but on H.S.G. 38% (19 cases) were noted. However, tubal occlusion and peritubal adhesions were found in 26% (13 cases) upon laparoscopy and only 8% (4 cases) on H.S.G. examination alone. Normal pelvic findings were present in 60% (27 cases).
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