• IEMEK Journal of Embedded Systems and Applications
• /
• v.10 no.3
• /
• pp.171-178
• /
• 2015

Recently NAND flash memory has been found to be the primary cause of low performance in the smart device. NAND flash memory is different from each other the execution time of I/O operations that flash file system is required. Therefore, it is necessary to compare and analyze the flash file system I/O performance for the efficient I/O on smart device. In this paper, it was tested and analyzing the I/O performance of the YAFFS2, JFFS2, UBIFS. Experimental results most read I/O performance is good, but the writing I/O performance is not good. For UBIFS, showed a more good I/O performance compared to other flash file system.

• The Korean Journal of Health Service Management
• /
• v.6 no.2
• /
• pp.133-140
• /
• 2012

This research analyzes on the difference of the management performance in public health care institution, especially between provincial medical center and national university hospital. The meaningful results of this study as follow. First of all, management performance was showed the loss in both of provincial medical center and national university hospital. but national university hospital is superior to provincial medical center in management performance. Secondly, It is noteworthy that social working expenses have influence on national university hospital. Finally, It shows that personnel expenses are the most important factor in the management performance in public health care institution. We hope that these results will be useful in the performance management of public health care institution.

• Knowledge Management Research
• /
• v.10 no.1
• /
• pp.71-100
• /
• 2009

Recently, many of organizations build up their performance measurement system (PMS) to measure their knowledge management performance. However, the system that doesn't well reflect the organization's strategies as well as surroundings could obstruct their performance improvement, instead. Therefore, It is really important to establish the PMS to reflect organization's surroundings and strategies. The purpose of this study is to make a diagnosis of a performance measurement practice of a domestic university's knowledge management. To serve this research purpose, we examine the uptight performance index and PMS from existing references. And we diagnose the specific practices and maturity rates of measuring performances, and the recognition of the performance index at "D" university recently adopting balanced scorecard to performance evaluation through the survey on academic affairs committee members, performance evaluation committee members, and administration members. The method analyzing data from the survey is a gap analysis which includes alignment analysis, congruence analysis, consensus analysis, and confusion analysis. We make a diagnosis of performance measurement practices at "D" university, raise several points of this performance measurement system, and present the improvement plans from these problems.

• International Journal of Clinical Preventive Dentistry
• /
• v.14 no.4
• /
• pp.256-263
• /
• 2018

Objective: This study aimed to investigate the factors associated with masticatory performance, as measured with a chewing gum containing spherical resinous microparticles, and to evaluate the method by examining the relationship with self-reported masticatory status. Methods: The participants in this study comprised 903 industrial workers (mean age, $42.2{\pm}11.6years$). A questionnaire was administered to assess self-reported masticatory status. The masticatory performance score was calculated by counting the number of particles in the chewing gum. Clinical oral examinations were administered. Multiple linear regression analysis was conducted on the masticatory performance scores to examine the related factors. Analysis of covariance was conducted to investigate the association between the masticatory performance score and the self-reported masticatory status. Results: Significant predictors of the masticatory performance score were sex (p<0.001), age (p<0.001), decayed teeth (p=0.009), total-functional tooth units (p<0.001), periodontitis (p=0.003), and malocclusion (p=0.011). The relationship between the masticatory performance score and the self-reported masticatory status was attenuated after controlling for confounding factors. Conclusion: The masticatory performance increased with age and decreased as the oral health status worsened. Using this chewing gum method partly, but not comprehensively, reflects masticatory performance. Therefore, various masticatory performance-related indexes should be employed to measure masticatory performance accurately.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.3 no.3
• /
• pp.235-250
• /
• 2009

An understanding of performance of database driven network applications is critical in combating slow performance of e-commerce web sites, besides efficient web page design, and high quality and well-maintained web server equipment. This paper describes a method of measuring performance from the user viewpoint, which can help enormously in making realistic assessment of true performance of database driven applications. The performance measurements were taken at user locations by using several specially designed JavaScript functions along with ASP scripts. A performance study is presented in this paper, comparing performance of data access using stored procedures with the traditional way of querying a database. It is generally believed that stored procedures have performance benefits as they are pre-compiled. However, our study shows that the data access approach using stored procedures provides significant benefits(by about 30%) over the traditional approach for querying a commercial MySQL database, only when retrieving a substantial amount of data(at least 10,000 rows of data).

• The Korean Journal of Health Service Management
• /
• v.10 no.1
• /
• pp.27-37
• /
• 2016

Objectives : This study applied the research model of Bontis (1998), which has been used to investigate everything from business corporations to hospitals in Korea, examined its generalizability and attempted to verify which factors of the intellectual capital affects organizational performance, represented by indicators for the clinical and financial performance of hospitals. Methods : Primary data for the study were collected from 91 general hospitals through self-administered questionnaires, and secondary data on clinical and financial performance of hospitals were collected form existing statistics. Collected data were analyzed with SPSS 11.5 (ver.) and AMOS 18.0 (ver.). Results : It was found that only human capital and customer capital had indirect effects on hospital performance. It was also revealed that structural capital had a direct effect on clinical performance, and an indirect effect on financial performance. Conclusions : This result means that there is a need to individually consider both the clinical performance and financial performance when measuring the organizational performance of a hospital, and it also shows that positive improvement in the clinical performance can contribute to the improvement of the financial performance through this process.

• ETRI Journal
• /
• v.35 no.2
• /
• pp.259-269
• /
• 2013

Android has become the most popular platform for mobile devices. However, Android still has critical performance issues, such as "application not responding" errors and hiccups resulting from garbage collection. Many phone vendors have tried to resolve the problems by characterizing and improving the performance. However, there are few insightful performance analysis tools for the Android-based systems. This paper presents AndroScope, which is a performance analysis tool for both the Android platform (Dalvik virtual machine, core libraries, Android libraries, and even Linux kernels) and its applications. To the best of our knowledge, this is the first tool to collect and analyze performance data from all the software layers of the Android-based systems. AndroScope offers a trace mechanism to collect such deep and wide performance data as hardware performance counters, time, and memory usage. In addition, the tool includes TraceBridge, which is a middleware for the fast handling of mass logs. Moreover, AndroScope offers an integrated graphical user interface with the Android software development kit to display a great volume of the detailed performance data.

• Earthquakes and Structures
• /
• v.7 no.1
• /
• pp.101-117
• /
• 2014

This paper presents a reliability-based analysis on seismic performance of timber-steel hybrid shear wall systems. Such system is composed of steel moment resisting frame and infill wood frame shear wall. The performance criteria of the hybrid system with respect to different seismic hazard levels were determined through a damage assessment process, and the effectiveness of the infill wood shear walls on improving the seismic performance of the hybrid systems was evaluated. Performance curves were obtained by considering different target non-exceedance probabilities, and design charts were further established as a function of seismic weight. Wall drift responses and shear forces in wood-steel bolted connections were used as performance criteria in establishing the performance curves to illustrate the proposed design procedure. It was found that the presence of the infill wood shear walls significantly reduced the non-performance probabilities of the hybrid wall systems. This study provides performance-based seismic evaluations on the timber-steel hybrid shear walls in support of future applications of such hybrid systems in multi-story buildings.

• Journal of Positioning, Navigation, and Timing
• /
• v.6 no.3
• /
• pp.117-123
• /
• 2017

In this paper, we propose a performance index that can compare the position estimation performance according to the time slot allocation order, which is superior in the position estimation performance in the operation of the Link-16 based relative navigation system. In order to verify the validity of the performance index, a software-based Link-16 relative navigation system performance analysis platform composed of a signal generator, a signal reception and navigation algorithm execution unit, and a performance analysis unit was designed. Using the designed software platform, we analyzed the relationship between proposed performance index and position estimation performance according to time slot allocation order in the same position reference (PR) arrangement. The performance index of the proposed time slot allocation is expected to be utilized not only for the Link-16 system, but also for the Time Division Multiple Access (TDMA)-based navigation system.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.61 no.4
• /
• pp.75-86
• /
• 2019

Recently, natural disasters due to abnormal climates are frequently outbreaking, and there is rapid increase of damage to aged agricultural infrastructure. As agricultural infrastructure facilities are in contact with water throughout the year and the number of them is significant, it is important to build a maintenance management system. Especially, the current maintenance management system of pumping and drainage stations among the agricultural facilities has the limit of lack of objectivity and management personnel. The purpose of this study is to develop a performance evaluation model using the factors related to performance degradation of pumping and drainage facilities and to predict the performance of the facilities in response to climate change. In this study, we focused on the pumping and drainage stations belonging to each climatic zone separated by the Korea geographical climatic classification system. The performance evaluation model was developed using three different statistical models of POLS, RE, and LASSO. As the result of analysis of statistical models, LASSO was selected for the performance evaluation model as it solved the multicollinearity problem between variables, and showed the smallest MSE. To predict the performance degradation due to climate change, the climate change response variables were classified into three categories: climate exposure, sensitivity, and adaptive capacity. The performance degradation prediction was performed at each facility using the developed performance evaluation model and the climate change response variables.