• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.6
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• pp.1507-1517
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• 2017

Generally, information breach incidents are thought to be caused by external hackers. However, both direct and indirect information breach incidents by insiders are more frequent than by external hackers. It also accounts for more than half of the total information breach, so it should be prepared against insider breach. In this study, based on General Deterrence Theory(GDT) and Rational Choice Theory(RCT), we integrated the risk sensitivity and situational anxiety, which were studied in the field of traffic psychology to construct research model. Result of analysis shows that the impact of risk perceptions on the severity and certainty of perceived punishment was not statistically significant, but perceived benefits, situational anxiety, and severity and certainty of perceived punishment were found to influence the information breach intention.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.11
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• pp.419-426
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• 2016

As the threat of cyber incident grows continuously, the need of IOC(Indicators of Compromise) is increasing to identify the cause of incidents and share it for quick response to similar incidents. But only few companies use it domestically and the research about the application of IOC is deficient compared to foreign countries. Therefore in this paper, a quick and standardized way to create IOC automatically based on the analysis result of malwares from Cuckoo Sandbox and its application is suggested.

• Journal of the Korea Computer Industry Society
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• v.5 no.3
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• pp.337-344
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• 2004

ITS(Intelligent transportation system) provides users with realtime traffic information based on technologies such as advanced information ＆ telecommunication, electronic control and transportation engineering. To operate efficient ITS, it is necessary to quickly identify and take actions for incidents(accidents, broken vehicles, public functions, traffic control, etc.). However, there have been few reliable incident detection algorithms developed so far. The algorithm presented in this study greatly resolved the problems in the existing incident detection algorithms, which determine incidents according to the input of constant values, by defining ranges based on the concept of pseudo level of service. With this improvement, operators can determine the incident detection parameters more accurately.

• Quality Improvement in Health Care
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• v.23 no.2
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• pp.37-54
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• 2017

Objectives: The purpose of this preliminary study was to identify the nurses' perception regarding disclosure of patient safety incidents (DPSI) and to evaluate the effectiveness of education for DPSI. Methods: DPSI education was conducted for nurses majoring in clinical nurse specialist at an university. Before and after the education, the nurses made a questionnaire to evaluate the perception of DPSI. The questionnaires were divided into four categories: first, overall perception of the DPSI; second, recognition evaluation of the DPSI using hypothetical case, third, opinion on legal and nonlegal measures for facilitating the DPSI; and fourth, socio-demographic factors. The Wilcoxon signed rank test was performed on the DPSI questionnaire response to compare the perceptions before and after the education. Results: A total of 10 nurses participated in the education. DPSI education showed the possibility of improving the overall perception, necessity, effect, obstacle, and promotion method of DPSI, although there were also several responses where there was no statistical significance. In particular, DPSI education led to statistically significance change in the perception of obstacles for DPSI. For example, the number of respondents who agreed to the item "DPSI will increase the incidence of medical lawsuits." was 7 before education but decreased to 3 after education (P-value: .025) Furthermore, nurses' perception of DPSI from this study was generally positive regardless of education. Conclusion:In the future, it will be necessary to carry out DPSI education and training and to evaluate its effectiveness for more nurses.

• Journal of Mechanical Science and Technology
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• v.17 no.10
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• pp.1423-1430
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• 2003

In this paper, we develop a real time monitoring system to detect third-party damage on natural gas pipeline. When the damage due to third-party incidents causes an immediate rupture, the developed on-line monitoring system can help reducing the sequences of event at once. Moreover, since many third-party incidents cause damage that does not lead to immediate rupture but can grow with time, the developed on-line monitoring system can execute a significant role in reducing many third-party damage incidents. Also, when the damage is given at a point on natural gas pipeline, the acoustic wave is propagated very fast about 421.3 m/s. Therefore, the data processing time should be very short in order to detect precisely the impact position. Generally, the pipeline is laid under ground or sea and the length is very long. So a wireless data communication method is recommendable and the sensing positions are limited by laid circumstance and setting cost of sensors. The calculation and monitoring software is developed by an algorithm using the propagation speed of acoustic wave and data base system based on wireless communication and DSP systems. The developed monitoring system is examined by field testing at Balan pilot plant, KOGAS being done in order to demonstrate its validity through reactive detection of third-party contact with pipelines. Furthermore, the development system was set at the practical pipelines such as an offshore pipeline between two islands Yul-Do and Youngjong-Do, and a land branch of Pyoungtaek, Korea and it has been operating in real time.

• Journal of Korean Academy of Nursing
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• v.42 no.1
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• pp.66-75
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• 2012

Purpose: The purpose of this study was to explore violent experiences of home visiting health care workers in Korea. Methods: This study was a cross-sectional survey. Data were collected using self-report questionnaires from 1,640 health care workers. Data collection was done between September 1, 2009 and June 30, 2010. Results: Of the respondents, 70.6% had experienced work-related violence. Shouting (51.9%) was the most common verbal violence, followed by verbalizing sexual remarks to the health care workers (19.0%) and touching the hands (16.5%), the most common acts relating to sexual harassment. Of the respondents who had experienced violence, 50.9% told their peers about the incidents. However, the major reasons why they did not report these incidents was due to the fact that they felt it was useless to file reports and that they expected such incidents to occur as part of their job. The majority of the respondents (86.4%) wanted education on how to deal with such violence at work. Conclusion: The results of this study indicate that efforts should be made to increase awareness and to minimize violence in the workplace. Also, educational programs should be designed to improve knowledge and to prevent workplace violence.

• Safety and Health at Work
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• v.12 no.2
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• pp.249-254
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• 2021

Introduction: Workplace violence (WPV) is a major occupational and health hazard for nurses. It affects nurses' physical and psychological well-being and impacts health service delivery. We aimed to assess the prevalence and describe the consequences of WPV experienced by nurses working in an emergency department in Kenya. Methods: We conducted a descriptive cross-sectional study among emergency nurses at one of the largest tertiary hospitals in Kenya. We collected data using a structured questionnaire adapted from the 'WPV in the Health Sector, Country Case Studies Research Instruments' questionnaire. We described the prevalence and effects of WPV using frequencies and percentages. Results: Of the 82 participating nurses, 64.6% were female, 57.3% were married and 65.8% were college-educated (65.8%). Participants' mean age was 33.8 years (standard deviation: 6.8 years, range: 23-55). The overall lifetime prevalence of WPV was 81.7% (n = 67, 95% confidence interval [CI]: 71.6%-88.8%) and the 1-year prevalence was 73.2% (n = 63, 95% CI: 66.3-84.8%). The main WPV included verbal abuse, physical violence, and sexual harassment. Most incidents were perpetrated by patients and their relatives. No action was taken in 50% of the incidents, but 57.1% of physical violence incidents were reported to the hospital security and 28.6% to supervisors. Perpetrators of physical violence were verbally warned (42.9%) and reported to the hospital security (28.6%). Conclusion: Workplace violence is a significant problem affecting emergency nurses in Kenya. Hospitals should promote workplace safety with zero-tolerance to violence. Nurses should be sensitised on WPV to mitigate violence and supported when they experience WPV.

• The KIPS Transactions:PartD
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• v.14D no.6
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• pp.689-700
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• 2007

Organizations and customers lose if business activities we discontinued by an incident of information systems under the current business environment because they pursue real time enterprise and on demand enterprise. The loss includes the intangible decline in brand image, customer separation, and the tangible loss such as decrease in business profits. Thus. it is necessary to have preparedness in advance and mitigation for minimization of a loss due to the business discontinuity and information system's operational risks. This paper suggests the mitigation model for minimizing the incidents of disk unit in information system's operational risks. The model will be represented by a network model which is composed of the three items as following: (1) causes, attributes, indicators of an operational risk, (2) a periodic time through an analysis of historical data, (3) an index or a regulation related to the examination of causes of an operational risk.

• Journal of Korean Society of Transportation
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• v.15 no.4
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• pp.143-163
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• 1997

Incident management is significant far the traffic management systems. The management of incidents determines the smoothness of freeway operations. The dynamic nature of incidents and the uncertainty associated with them require solutions based on the incident operator's judgment. Fuzz systems attempt to adapt such human expertise and are designed to replicate the decision making capability of on operator. Fuzzy systems process complex traffic information, and transmit it in a simplified, understandable form to human traffic operators. In this study, fuzzy rules were developed based on data from real incidents on Santa Monica Freeway in LosAngeles. The fuzzy rules ail linguistic based, and hence, user-friendly. A comparison of the results from the linguistic model with the real incident durations indicate that the outputs from the model reliably correspond to real incident durations conditions. The model reliably predicts the freeway incident duration. The modes can thus be used as an effective management tool for freeway incident response systems. The approach could be applied to other problems regarding dispatch systems in transportation.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.5D
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• pp.623-631
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• 2011

In this study, a new method which can detect incidents in interrupted traffic flow was suggested. The applied method of detecting the incident is the Latin Square Analysis Method by using traffic traits. In the Latin Square Analysis, unlike other previously tried methods, the traffic situation was analyzed, this time considering the changes in traffic traits for each lane and for each time period. The data used in this study were the data observed in the actual field with fine weather. The traffic volumes, the vehicle speed and the occupancy rate were collected on the interrupted flow road. The data were collected in normal and incident situations. The incidents occurred on the second lane, the time of persistent incidents was set to 10 minutes. The Latin Square Analyses were performed using the collected data with the traffic volume, with the vehicle speed or with the occupancy rate. As a result in this study, in case of detecting the traffic situations with Latin Square Analysis, it will be more successful to apply traffic volume to detect the traffic situations than to apply other factors.