• The Journal of the Korea Contents Association
• /
• v.19 no.3
• /
• pp.539-547
• /
• 2019

This study investigated the effect of small-world structure in team processes on team performance. I discussed the theoretical relationship between small-world structure in team processes and team performance and analyzed the relationship using pass data of soccer teams. I constructed the 128 pass networks from the pass data of the 2014 FIFA World Cup and then measured the structural features indicating small-world structure of the networks. Correlation analysis and regression analysis were performed in order to examine the strength and direction of the relationship. According to the results, the clustering has an exponential relationship with team performance and the connectivity has a log-function relationship with team performance. Finally, I found the positive effect of small-world structure in team processes on team performance. Through theoretical discussion and empirical analysis, this study found that small-world structure in team processes increase team performance by facilitating task coordination and collaboration between team members.

• Korean small business review
• /
• v.41 no.3
• /
• pp.23-47
• /
• 2019

This study investigates the effects of three types of person-environment fit, i.e. POF, PJF(ability) and PJF(needs), on effectiveness variables and the mediating effect of work motivation in SMEs. The data were collected from 211 employees who work for SMEs. Results of structural equation modeling(SEM) analyses demonstrated that PJF(ability) was significantly associated with task performance and turnover intention, while POF and PJF(needs) were significantly associated with turnover intention only. PJF(needs) and PJF(ability) have the positive impact on intrinsic motivation, PJF(ability) also has the positive impact on external and identified motivation. We also analysed mediating effects using Process macro. Results demonstrated that intrinsic motivation mediated the relationship between POF, PJF(needs), PJF(ability) and task performance. The relationship between PJF(ability) and task performance was mediated by external motivation. Based on the results, theoretical and practical implications are derived. Also suggested are methodological limitations and future research directions.

• Journal of Korea Multimedia Society
• /
• v.13 no.10
• /
• pp.1423-1435
• /
• 2010

Building wireless sensor networks requires a constituting sensor node to consider the following limited hardware resources: a small battery lifetime limiting available power supply for the sensor node, a low-power microprocessor with a low-performance computing capability, and scarce memory resources. Despite such limited hardware resources of the sensor node, the sensor node platform needs to activate real-time sensing, guarantee the real-time processing of sensing data, and exchange data between individual sensor nodes concurrently. Therefore, in this paper, we propose an energy-efficient real-time task scheduling technique for battery-powered wireless sensor nodes. The proposed energy-efficient task scheduling technique controls the microprocessor's operating frequency and reduces the power consumption of a task by exploiting the slack time of the task when the actual execution time of the task can be less than its worst case execution time. The outcomes from experiments showed that the proposed scheduling technique yielded efficient performance in terms of guaranteeing the completion of real-time tasks within their deadlines and aiming to provide low power consumption.

• Journal of Korean Institute of Industrial Engineers
• /
• v.26 no.1
• /
• pp.54-65
• /
• 2000

The objective of this study is to evaluate the operator performance relating to hand switches with two or three buttons in the main control rooms of nuclear power plants. Based on the comparative analysis of the nuclear power plants, two different subjective workload-rating scales were used to evaluate the performance of 48 operators: the Overall Workload(OW) and National Aeronautics and Space Administration Task Load Index (NASA TLX). The survey questions consisting of the eight-items were asked to evaluate the operating experiences for the two different switch types. The OW scales ratings were applied to measure the workload of the switch-related tasks. The ratings revealed that signal detection tasks caused less workload in the three-buttoned-switch operators than the other switch group. However, in the switch operation tasks, the switch types did not show statistically significant effects on workload level. The NASA TLX scale ratings were performed based on detailed task scenarios that assumed the accident of small break loss of coolant, what we call, the small LOCH. The NASA TLX was administered to three different task groups: the reactor, the turbine, and the electric operator groups. Based on the NASA TLX, the two-buttoned switch groups showed higher workload than those with the three-buttoned switches. However, a statistically significant difference was found only in the reactor operator groups. When the current switch type was assumed to be changed for the other type, all of the three-buttoned switch groups were predicted to have higher workload than the other switch groups, respectively. The implications of these findings were discussed.

• Knowledge Management Research
• /
• v.6 no.2
• /
• pp.47-68
• /
• 2005

The Purpose of this study is to identify relationships between knowledge management performances and such Influence factors of knowledge Management as information technology, knowledge management process, culture & people, strategy & Leadership in Small and Medium-sized Enterprises. In order to test hypotheses, we collected data from 498 SME's employees, then analysed them by SPSSWIN. This results showed as follows; 1. All Influence factors of knowledge Management( information technology, knowledge management process, culture & people, strategy & Leadership) are to advance individual task effectiveness and organization effectiveness significantly. 2. Such Influence factors of knowledge Management as information technology, knowledge management process, culture & people are to improve business efficiency between the company. But strategy & leadership factor is not significant. 3. Influence factors of knowledge Management are different between knowledge performace factors such ac individual task effectiveness, organization effectiveness, and business efficiency between company.

• Journal of Korea Multimedia Society
• /
• v.18 no.9
• /
• pp.1098-1104
• /
• 2015

With the widespread use of smartphones and IoT (Internet of Things), data are being generated on a large scale, and there is increased for the analysis of such data. Hence, distributed processing systems have gained much attention. Hadoop, which is a distributed processing system, saves the metadata of stored files in name nodes; in this case, the main problems are as follows: the memory becomes insufficient; load occurs because of massive small files; scheduling and file processing time increases because of the increased number of small files. In this paper, we propose a solution to address the increase in processing time because of massive small files, and thus improve the processing performance, using the Reuse JVM method provided by Hadoop. Through environment setting, the Reuse JVM method modifies the JVM produced conventionally for every task, so that multiple tasks are reused sequentially in one JVM. As a final outcome, the Reuse JVM method showed the best processing performance when used together with CombineFileInputFormat.

• Nuclear Engineering and Technology
• /
• v.45 no.2
• /
• pp.151-164
• /
• 2013

A key input for the assessment of Human Error Probabilities (HEPs) with Human Reliability Analysis (HRA) methods is the evaluation of the factors influencing the human performance (often referred to as Performance Shaping Factors, PSFs). In general, the definition of these factors and the supporting guidance are such that their evaluation involves significant subjectivity. This affects the repeatability of HRA results as well as the collection of HRA data for model construction and verification. In this context, the present paper considers the TAsk COMplexity (TACOM) measure, developed by one of the authors to quantify the complexity of procedure-guided tasks (by the operating crew of nuclear power plants in emergency situations), and evaluates its use to represent (objectively and quantitatively) task complexity issues relevant to HRA methods. In particular, TACOM scores are calculated for five Human Failure Events (HFEs) for which empirical evidence on the HEPs (albeit with large uncertainty) and influencing factors are available - from the International HRA Empirical Study. The empirical evaluation has shown promising results. The TACOM score increases as the empirical HEP of the selected HFEs increases. Except for one case, TACOM scores are well distinguished if related to different difficulty categories (e.g., "easy" vs. "somewhat difficult"), while values corresponding to tasks within the same category are very close. Despite some important limitations related to the small number of HFEs investigated and the large uncertainty in their HEPs, this paper presents one of few attempts to empirically study the effect of a performance shaping factor on the human error probability. This type of study is important to enhance the empirical basis of HRA methods, to make sure that 1) the definitions of the PSFs cover the influences important for HRA (i.e., influencing the error probability), and 2) the quantitative relationships among PSFs and error probability are adequately represented.

• The Journal of the Acoustical Society of Korea
• /
• v.22 no.5
• /
• pp.403-407
• /
• 2003

Recently, eigenvoice approach has been widely used for rapid speaker adaptation. However, even in the eigenvoice approach, Performance improvement using very small amount of adaptation data is relatively small in comparison with that using somewhat large adaptation data because the reliable estimation of weights of eigenvoice is difficult. In this paper, we propose a rapid speaker adaptation method based on eigenvoice using the weight distribution characteristics to improve the performance on a small adaptation data. In the Experimental results on vocabulary-independent word recognition task (using PBW 452 database), the weight threshold method alleviates the problem of relatively low performance for a tiny small adaptation data. When single adaptation word is used, word error rate is reduced about 9-18% by the weight threshold method.

• ETRI Journal
• /
• v.42 no.2
• /
• pp.230-238
• /
• 2020

Human-object interaction (HOI) detection is a popular computer vision task that detects interactions between humans and objects. This task can be useful in many applications that require a deeper understanding of semantic scenes. Current HOI detection networks typically consist of a feature extractor followed by detection layers comprising small filters (eg, 1 × 1 or 3 × 3). Although small filters can capture local spatial features with a few parameters, they fail to capture larger context information relevant for recognizing interactions between humans and distant objects owing to their small receptive regions. Hence, we herein propose a three-stream HOI detection network that employs a context convolution module (CCM) in each stream branch. The CCM can capture larger contexts from input feature maps by adopting combinations of large separable convolution layers and residual-based convolution layers without increasing the number of parameters by using fewer large separable filters. We evaluate our HOI detection method using two benchmark datasets, V-COCO and HICO-DET, and demonstrate its state-of-the-art performance.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.11 no.4
• /
• pp.59-67
• /
• 2008

In the next near future, the human would like to use the small unmanned ground vehicle(SUGV) on the diverse fields. Specially the world of today is tried to apply with operating the task on very difficult working environments such as some dangerous or unreachable area. To work this task, this vehicle should be guaranteed with the high level of reliability, safety, and performance. In this paper, we propose to focus on not only the functional requirements, but also the non-functional requirements based on software architecture at the design stage for developing the embedded system. Through focusing on the non-functional requirements on this software architecture, we can obtain the design goal of the target system and also show the enhancement of reliability, safety and performance with 'Vtune' performance analysis tool.