• IE interfaces
• /
• v.12 no.2
• /
• pp.294-304
• /
• 1999

This paper describes the theoretical background and detailed structure of Navi-HEGS (Navigation system Human factors Evaluation and Guideline System) which has been developed for the human factors and HMI(Human-Machine Interface) researches for a CNS (Car Navigation System) and a digital map. Navi-HEGS is and integrated system that consists of a digital map UIMS(User Interface Management System), a CNS simulator, various evaluation tools, and a design guideline system. If Navi-HEGS is properly applied and utilized, it is possible to extract the substantial users requirements and preferences of a CNS and a digital map and then, these requirements can be simulated and evaluated with various human factors evaluation techniques. Applications of Navi-HEGS can improve the CNS usability, drivers safety and performance that directly affect the success of ITS(Intelligent Transport System). Also, results can be used as the basic data to establish the standards and design guidelines for the driver-centered CNS design.

• Korean Journal of Human Ecology
• /
• v.15 no.4
• /
• pp.551-561
• /
• 2006

The purpose of the study is to examine the influence of children's familiarity with a task and teachers' feedback on their problem solving performances. It was assumed that children's' problem solving performance would be different depending on the children's familiarity with a task and the feedback from teachers. The study also examined whether children's' problem solving competence would be different depending on their gender and age. The experiment was conducted with two experimental tools. The subjects were 58 children who were 5 to 6-year-old, enrolled in kindergartens in Koyang city in Kyunggi province. The collected data were processed with SPSS 11.0 program to get the average and the standard deviations, and with one-way ANOVA and two-way ANOVA with repeated measures. The results of the experiment are as follows; First, children's' problem solving competence was different depending on their age. Older children showed higher performance than younger children, while there's no difference in children's performance depending on their gender. Second, the teachers' feedback didn't influence children's problem solving performance. Third, children showed higher performance when familiar tasks were provided, compared to when typical tasks were provided. Finally, this study found that children's task familiarity has an influence on their problem solving performance.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.32 no.4
• /
• pp.215-222
• /
• 2009

Human voice reacts very sensitively to human's minute physical condition. For instance, human voice disorders affect patients profoundly especially in the case of Parkinson's disease. Acoustic tools such as MDVP, can function as an equipment that measures various voice in different objects. Many different approaches have been applied for analyzing the voice disorders for diagnosis of Parkinson's disease. According to the voice data of suspected Parkinson's patients from UCI Machine Learning Repository, it is reported to have 23 people with Parkinson's disease and 8 healthy people. Applying Mahalanobis Taguchi System (MTS) for diagnosis of Parkinson's disease, the correct diagnosis performance is compared to previous research results.

• Journal of Information Technology Services
• /
• v.12 no.1
• /
• pp.189-199
• /
• 2013

As many organizations have adopted and implemented ERP systems, concerns about ERP performance also have increased. Former researches studied the ERP implementation of general large or medium size enterprises but there are not enough studies on ERP systems of a specific industry domain. In this paper, we introduce a case study on ERP adoption methodology of global leading company 'D' in shipbuilding and marine engineering industry. We examined ERP implementation background, method and scope and evaluated ERP performance in perspective of both quantitative and qualitative approaches. Quantitative research usually examines ERP performance based on financial statements and qualitative study typically examines organization change or improvement. As a result, ERP implementation in shipbuilding and marine industry can improve quantitative aspects such as cost, human resource and organization performance. As qualitative analysis, business process and tools can be unified and management transparency can be improved by ERP implementation. The result of this paper will be useful guideline for organizations which are considering ERP systems.

• International Journal of Computer Science & Network Security
• /
• v.22 no.12
• /
• pp.1-12
• /
• 2022

Besides unexpected growth perceived by IoT's, the variety and volume of threats have increased tremendously, making it a necessity to introduce intrusion detections systems for prevention and detection of such threats. But Intrusion Detection and Prevention System (IDPS) inside the IoT network yet introduces some unique challenges due to their unique characteristics, such as privacy inference, performance, and detection rate and their frequency in the dynamic networks. Our research is focused on the privacy inferences of existing intrusion prevention and detection system approaches. We also tackle the problem of providing unified a solution to implement the open-source IDPS in the IoT architecture for assessing the performance of IDS by calculating; usage consumption and detection rate. The proposed scheme is considered to help implement the human health monitoring system in IoT networks

• 한국HCI학회:학술대회논문집
• /
• 2009.02a
• /
• pp.650-653
• /
• 2009

Decrease in crew performance is frequently cited as a major causal factor in maritime accidents. Although considerable researches on working hours undertaken by seafarers have been conducted through interviews and record analyses, experimental studies on the effects of factors, such as high workload, shift patterns, stress, sleep deprivation, and disturbance on the cognitive performance of mariners have been limited. Other safety-critical transport industries, such as aviation and rail, have developed fatigue management tools to help managements in the work patterns of their operators. Such tools for mariners would assist shipboard crews, marine pilots, and shore managers for planning and improving work schedules. The overall aim of this paper is to determine a fatigue factor that can be applied to human performance data as a part of a software program that calculates total cognitive performance. This program enables us to establish the levels of cognitive performance in a group of marine pilots in order to test a decision-making task based on radar information. This paper addresses one of the factors that may contribute to the determination of various fatigue factors: the effects of different work patterns on the cognitive performance of a marine pilot.

• Transactions on Control, Automation and Systems Engineering
• /
• v.4 no.1
• /
• pp.32-37
• /
• 2002

Applications of scaled telemanipulation into micro or nano world that shows many different features from directly human interfaced tools have been increased continuously. Here, we have to consider many aspects of scaling such as force, position, and impedance. For instance, what will be the possible range of force and position scaling with a specific level of performance and stability\ulcorner This knowledge of feasible staling region can be critical to human operator safety. In this paper, we show the upper bound of the product of force and position scaling and simulation results of 1DOF scaled system by using the Llewellyn's unconditional stability in continuous and discrete domain showing the effect of sampling rate.

• Journal of the Korean Society of Systems Engineering
• /
• v.17 no.2
• /
• pp.69-81
• /
• 2021

The human performance issues and increased automation issues in advanced Small Modular Reactors (SMRs) are critical to numerous stakeholders in the nuclear industry, due to the undesirable implications targeting the Man Machine Interface Systems (MMIS) complexity of (Generation IV) SMRs. It is imperative that the design of future SMRs must address these problems. Nowadays, Multi Agent Systems (MAS) are used in the industrial sector to solve multiple complex problems; therefore incorporating this technology in the proposed innovative SMR (I-SMR) design will contribute greatly in the decision making process during plant operations, also reduce the number MCR operating crew and human errors. However, it is speculated that an increased level of complexity will be introduced. Prior to achieving the objectives of this research, the tools used to analyze the system for complexity reduction, are the McCabe's Cyclomatic complexity metric and the Henry-Kafura Information Flow metric. In this research, the systems engineering approach is used to guide the engineering process of complexity reduction concept of the system in its entirety.

• Journal of the Ergonomics Society of Korea
• /
• v.30 no.1
• /
• pp.75-86
• /
• 2011

This paper describes several current research activities and the field techniques for the prevention of human errors during the operation of nuclear power plants(NPPs). The human aspects such as 'fitness for the duties', 'job competence and suitability', 'types of communication', 'behaviors of field workers', 'teamwork of main control room crews', 'task procedures', etc. have been investigated for improving the performance of operating personnel in NPPs. We decide to develop a set of the complementary techniques for the reduction of human errors. The set of techniques developed includes teamwork criteria, jobs fitness analysis, procedure enhancement guide, 3-way communication, campaign posters, a behavior based safety program, a procedure guideline, and a task hazard identification method for the field practitioners in NPPs. These can offer a set of significant human error countermeasures to be considered for analyzing and reducing human error in NPPs as well as other fields of industry.

• Korean Journal of Child Studies
• /
• v.38 no.3
• /
• pp.75-90
• /
• 2017

Objective: This study aimed to identify children's cognitive processing and performance characteristics while multiple task performance. It confirmed whether their multiple task performance and psychological refractory period (PRP) varied by task condition (stimulus onset asynchrony [SOA] and task difficulty) and stimulus modality. Methods: Seventy 5-year-olds were recruited. Multi-task tools were developed using the E-prime software. The children were required to respond to two stimuli (visual or auditory) presented with microscopic time difference and their response times (RTs) were recorded. Results: As the SOA increased, the RTs in the first task increased, while the RTs in the second task and PRP decreased. The RTs of the first and second tasks, and the PRP for difficult tasks, were significantly longer than those for easy tasks were. Additionally, there was an interaction effect between the SOA and task difficulty. Although there was no main effect of stimulus modality, task difficulty moderated the modality effect. In the high difficulty condition, the RTs of the first and second tasks and PRP for the visual-visual task were significantly longer than those for auditory-auditory task were. Conclusion: These results inform theoretical discussions on children's multi-task mechanism, and the loss of multiple task performance. Additionally, they provide practical implications and information on the composition of multi-tasks suitable for children in educational environments.