• Journal of the Ergonomics Society of Korea
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• v.23 no.3
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• pp.53-72
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• 2004

Today we are observing a lot of injuries, casualties, and property losses that are mainly caused by the defects of products. In order to derive safety designs, which minimize the possibility of such product liability-related accidents, we need to take into account the user-product interaction as an important part of the danger factor analysis. Existing risk analysis techniques, however, have some limitations in detecting comprehensive danger factors that are peculiarly involved in human errors and the functional defects of products. Researches on danger factor analysis regarding the user-product interaction have been carried out actively in ergonomics. In this paper, we suggest a novel product risk analysis technique, which is more objective and systematic compared to the previous ones, by combining a modified TAFEI (Task Analysis For Error Identification) technique with SASA (Systematic Approach to Accident Scenario Analysis) technique. By applying this technique to the product design practice in industry, corporations will be able to improve the product safety, consequently strengthening the competitiveness.

• The Journal of the Acoustical Society of Korea
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• v.42 no.5
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• pp.395-401
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• 2023

Sound Event Detection (SED) aims to identify not only sound category but also time interval for target sounds in an audio waveform. It is a critical technique in field of acoustic surveillance system and monitoring system. Recently, various models have introduced through Detection and Classification of Acoustic Scenes and Events (DCASE) Task 4. This paper explored how to design optimal parameters of DenseNet based model, which has led to outstanding performance in other recognition system. In experiment, DenseRNN as an SED model consists of DensNet-BC and bi-directional Gated Recurrent Units (GRU). This model is trained with Mean teacher model. With an event-based f-score, evaluation is performed depending on parameters, related to model architecture as well as model training, under the assessment protocol of DCASE task4. Experimental result shows that the performance goes up and has been saturated to near the best. Also, DenseRNN would be trained more effectively without dropout technique.

• Journal of Internet Computing and Services
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• v.20 no.2
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• pp.29-37
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• 2019

As software development technology evolves, the quality of software has increased. But software created through sophisticated technology is still defective. The developer will be aware of the defect through a bug report and the reported defect must be fixed as soon as possible for the software to function correctly. It is important to know which component of the program is related to the reported defect and should be fixed. However, even though the developer understands the developed software, the task of tracing faults is a time-consuming task and requires effort. Therefore, if there is a way for developers to support tracing faults, they could fix defects more quickly. Because fixing defects rapidly is a factor of software reliability, fault traceability is essential and an effective method is needed. Therefore, in this paper, we propose a model-based fault traceability enhancement technique by using bug report and commit information and verify the effectiveness of the proposed technique.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.385-392
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• 2001

This paper proposes a meta modeling technique which permits to describe a KBS according to three axis: the object of reuse axis, the levels of granularity axis and the reuse process axis. The object of reuse axis allows to see a KBS as a set of inter-related components for reuse purposes. The levels of granularity axis allows to describe the KBS components according to different levels of granularity for clarity and reuse purposes. The reuse process axis allows to see the KBS components as (re)usable components.

• Journal of Information Technology Applications and Management
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• v.22 no.1
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• pp.37-60
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• 2015

As the dependence on information systems in enterprises has grown dramatically, the importance of implementing information systems in audit has been increased as well. However, there is a lact of about utilization of information system for audit process. Thus, this study is to investigate the factors that effect auditor's adopting Data Analytics to audit work. Through literature research and focus group interview, we added two factors that affect the behavioral intention to UTAUT model. We have selected performance expectancy, effort expectancy, social influence, facilitating conditions, anxiety, task fit, behavioral intention as variables and verified hypotheses based on survey questionnaires from auditors. As a result, it was found that performance expectations, social influence, task fit influenced the behavior intention. In Addition, we analyzed adding two variables, IT-related work experience and type of auditor as moderate variable. This study has an implication for companies to motivate implementation as well as activation of Data Analytics technique.

• Nuclear Engineering and Technology
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• v.42 no.1
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• pp.115-124
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• 2010

According to wide-spread experience in many industries, a procedure is one of the most effective countermeasures to reduce the possibility of human related problems. Unfortunately, a systematic framework to evaluate the complexity of procedural tasks seems to be very scant. For this reason, the TACOM measure, which can quantify the complexity of procedural tasks, has been developed. In this study, the appropriateness of the TACOM measure is investigated by comparing TACOM scores regarding the procedural tasks of high speed train drivers with the associated workload scores measured by the NASA-TLX technique. As a result, it is observed that there is a meaningful correlation between the TACOM scores and the associated NASA-TLX scores. Therefore, it is expected that the TACOM measure can properly quantify the complexity of procedural tasks.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.310-328
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• 2022

Internet of things (IoT) has emerged as the most popular technique that facilitates enhancing humans' quality of life. However, most time sensitive IoT applications require quick response time. So, processing these IoT applications in cloud servers may not be effective. Therefore, fog computing has emerged as a promising solution that addresses the problem of managing large data bandwidth requirements of devices and quick response time. This technology has resulted in processing a large amount of data near the data source compared to the cloud. However, efficient management of computing resources involving balancing workload, allocating resources, provisioning resources, and scheduling tasks is one primary consideration for effective computing-based solutions, specifically for time-sensitive applications. This paper provides a comprehensive review of the source management strategies considering resource limitations, heterogeneity, unpredicted traffic in the fog computing environment. It presents recent developments in the resource management field of the fog computing environment. It also presents significant management issues such as resource allocation, resource provisioning, resource scheduling, task offloading, etc. Related studies are compared indifferent mentions to provide promising directions of future research by fellow researchers in the field.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.9
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• pp.592-607
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• 2006

This paper proposes a technique to select processors and hardware IPs and to map the tasks into the selected processing elements, aming to achieve high performance with minimal system cost when multitask applications with real-time constraints are run on a multicore SoC. Such technique is called to 'Hardware-Software Cosynthesis Technique'. A cosynthesis technique was already presented in our early work [1] where we divide the complex cosynthesis problem into three subproblems and conquer each subproblem separately: selection of appropriate processing components, mapping and scheduling of function blocks to the selected processing component, and schedulability analysis. Despite good features, our previous technique has a serious limitation that a task monopolizes the entire system resource to get the minimum schedule length. But in general we may obtain higher performance in multitask multicore system if independent multiple tasks are running concurrently on different processor cores. In this paper, we present two mapping techniques, task mapping avoidance technique(TMA) and task mapping pinning technique(TMP), which are applicable for general cases with diverse operating policies in a multicore environment. We could obtain significant performance improvement for a multimedia real-time application, multi-channel Digital Video Recorder system and for randomly generated multitask graphs obtained from the related works.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_3
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• pp.1303-1313
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• 2022

Modern cities need to revitalize the downtown area, which is declining due to population decline, economic recession, and deterioration of the residential environment, economically, socially, and physically by introducing and creating new functions. In addition, the hollowing out of the existing city center is getting worse due to the development of the outskirts of the city. Therefore, the discussion for the development of urban regeneration is the core task of modern cities. This study analyzed based on a basic understanding of urban regeneration projects, and through this, the problems of domestic urban regeneration projects were derived. In addition, the problem factors and major improvement plans of the urban regeneration project were analyzed from the expert's point of view using the AHP analysis technique. Based on this, the purpose is to present policy alternatives for the future development of urban regeneration projects. The problems derived to present the policy alternatives and improvement directions of the urban regeneration project were classified into problems related to goal achievement, problems related to the business itself, and problems related to project results. It was subdivided into sub-categories. This study analyzed the problem factors and major improvements from the expert's point of view by using the AHP analysis technique for the problems of the urban regeneration project. Based on the AHP analysis results and experts' opinions, five policy alternatives for the development of urban regeneration projects were presented.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.1
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• pp.171-184
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• 2015

The purpose of this study is to develop the self-diagnosis methodology based on process for improving the effectiveness in public institutions service and to suggest it. For this goal, we would like to select the management methodology which can be easily handled from the viewpoint of working personnel in the public institutions and make it as a process. First, the strategy for the public institutions and the strategic task for practicing it are acquired using BSC (Balanced Score Card) which is now under the active research. At this time, the relative degree of significance is derived using the AHP (Analytic Hierarchy Process) which is conducted for the professionals and management to get the degree of importance in the strategic tasks. The acquired relative degree of significance and the figures related to the performance of each strategic task derived from the subsequent questionnaire are used to get the final highly efficient strategic task through IPA (Importance Performance Analysis). In this study, this process based self diagnosis methodology will be explained in detail using the case of Project A in order to verify the effectiveness of the management science technique on the self diagnosis of the public institutions.