• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.5
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• pp.444-450
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• 2013

For intelligent vehicle technology, it is very important to recognize the states of around vehicles and assess the collision risk for safety driving of the vehicle. Specifically, it is very fatal the collision with the vehicle coming from opposite direction. In this paper, a centerlane violation prediction method is proposed. Only radar signal based prediction makes lots of false alarm cause of measurement noise and the false alarm can make more danger situation than the non-prediction situation. We proposed the novel prediction method using IMM algorithm and fuzzy logic to increase accuracy and get rid of false positive. Fuzzy logic adjusts the radar signal and the IMM algorithm appropriately. It is verified by the computer simulation that shows stable prediction result and fewer number of false alarm.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.48 no.10
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• pp.821-829
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• 2020

Health management system of airborne software repairs runtime errors to provide safety and to reduce cost of maintenance. It is critical to on-the-fly repair order violation errors, because it is difficult to identify them at the development phase. Previous work, called Repairing Atomicity Violations (Repairing-AV) diagnoses order violations for each access event by comparing execution order of accesses. As a result, Repairing-AV has time overhead that is proportional to the number of access events to shared variable. This paper presents a tool called On-the-fly Repairing System (ORS) that can repair order violations of object methods containing access events. The ORS diagnoses order violations by using correct order of object methods, and treats them by stalling its thread where the error is about to occur. Experimentation with five synthetic programs shows that ORS is more efficient than Repairing-AV when the number of access events is greater than sixty.

• Journal of Food Hygiene and Safety
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• v.24 no.4
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• pp.338-347
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• 2009

The content of residual pesticides in commercial agricultural products in Gyeongsangbuk-Do area was investigated for 5 years extending the year 2004 through 2008. The detection rates of residual pesticides in agricultural products by year were similar in range of 11.6~16.4%. But the violation rates showed lower values in the last years from 4.5% of the year 2004 to 0% of the year 2007. The highest residual concentration of each pesticide detected in commercial agricultural products was investigated by year. That is, in the year 2004 and 2005, chlorpyrifos, chlorothalonil, diazinon, endosulfan, ethoprophos, fenarimol and procymidone were detected over the tolerance in kale, parsley, celery, chard and lettuce, and in the year 2006, permethrin in the soybean and peanut. The detection rate and violation rate of pesticides were highly increased in the order of the endosulfan, chlorpyrifos, procymidone, chlorfenapyr, fenitrothion, imazalil, isoprothiolane, methidathion and permethrin. The detection rate and violation rate of pesticides were increased after August every year.

• International Journal of Highway Engineering
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• v.12 no.2
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• pp.63-69
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• 2010

Since speed limit enforcement in school zones is the most important to reduce the occurrence of severe child related accidents, school zones typically have a speed limit of 30km/h. However, it is found that the majority of vehicles passing school zones are traveling over 30km/h. This indicates that school zones are not being effectively operated to achieve the main objective which is the reduction of child related accidents. This study aims to identify the factors affecting the violation of speed limits in school zones through the results of field survey from 8 elementary schools. The results showed that time period, the number of lanes, the width of sidewalks, and the status of colored pavement were found to be highly associated with the violation of speed limits in school zones at the 95% significance level. The results of this study may provide some insights for making safe environments around schools.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.759-761
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• 2016

Recent changes in the information security environment have led to persistent attacks on intelligent assets such as cyber security breaches, leakage of confidential information, and global security threats. Since existing information security systems are not adequate for Advanced Persistent Threat; APT attacks, bypassing attacks, and attacks on encryption packets, therefore, continuous monitoring is required to detect and protect against such attacks. Accordingly, this paper suggests an operation plan for managing an information security system to block the attack routes of advanced persistent threats. This is achieved with identifying the valuable assets for prevention control by establishing information control policies through analyzing the vulnerability and risks to remove potential hazard, as well as constructing detection control through controlling access to servers and conducting surveillance on encrypted communication, and enabling intelligent violation of response by having corrective control through packet tagging, platform security, system backups, and recovery.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.139-145
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• 2019

The purpose of this study is to analyze the effects of black consumer behavior on turnover intentions. Baron and kenny (1986) The effectiveness of the analysis results, according to the verification procedure. Results of empirical analysis are as follow. black-consumer behavior has the significant positive effect on the intention of turnover of employee in restaurant. and The significance of this study indicates that service employee's psychological contract violation plays a role as mediated variable influencing the relationship between black-consumer behavior and intention of turnover. Based on the results of the empirical analysis, it was suggested that measures such as a policy banning access to black consumers or compensation system such as emotional labor allowance were needed to reduce the degree of turnover of the members of the organization. Finally, the methodological limitations of this study are presented.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.6
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• pp.32-39
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• 2011

Even if the traffic light is green, if vehicles enter a jammed intersection, they are violation of the law. The police is enforcing law as a part of a nation wide campaign. Because, using the camcorder, the police can not do enforcement the offending vehicle, there are other techniques. Our research group proposed automated photographic equipment enable to enforce moving violation in intersection. Using new license plate recognition technology and backtracking technology to trace the offending vehicle, once the system detects a violator, it records 8 wide pictures and 1picture from the front vehicle, showing it enter and proceed through the intersection. Field experimental results obtained in the system, the following conclusions. The three measures of effectiveness investigated were recognition rate 83.5, mis-match recognition rate 1.5%.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.12
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• pp.451-460
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• 2018

Open source software is used in various ways when developing new softwares all around the world. It requires rights and responsibilities as a form of an open source software license. Because the license is a contract between original software developers of the open source software and users, we must follow it and extremely cautious to avoid copyright infringement. In particular, we must verify license compatibility when we develop new software using the existing open source softwares. However, license violation issues always occur and lead to lawsuits so that they are having an adverse effect on the open source software ecosystem. Thus, in this paper, we propose a method, OSLC-Vid, to identify license violations whether compatibility issues exist between open source softwares. The proposed method is verified by the experiments to detect actual license violation cases.

• The Journal of Society for e-Business Studies
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• v.24 no.3
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• pp.99-110
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• 2019

As the 4th industrial revolution progressing, manufacturers are trying to apply intelligent information technologies such as IoT(internet of things) and machine learning. In the semiconductor/LCD/tire manufacturing process, schedule plan that minimizes setup change and due date violation is very important in order to ensure efficient production. Therefore, in this paper, we suggest the deep learning based scheduling generation model minimizes setup change and due date violation in parallel machines. The proposed model learns patterns of minimizing setup change and due date violation depending on considered order using the amount of historical data. Therefore, the experiment results using three dataset depending on levels of the order list, the proposed model outperforms compared to priority rules.

• Korea Trade Review
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• v.48 no.3
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• pp.131-150
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• 2023

The purpose of this study was to find a countermeasure to the U.S. import refusals for the Korean healthcare and life sciences industry. To this end, an analysis of trends during the pandemic was conducted using the KITA Border Rejection Database, which includes information on items and types of import refusals. The reason for rejection was also analyzed according to the FDA violation codes. The degree of countermeasure for import refusals was identified by measuring the unit rejection rate (URR). The results of the analysis showed that the major U.S. import refusals for the Korean healthcare and life sciences industry had expanded from contact lenses to COVID-19 diagnostic kits and drugs after the pandemic broke out. The major reasons for import refusals were non-compliance with the Predicate Device and Drugs Act and non-approval by the FDA for products and facilities. On the other hand, the unit rejection rate (URR) of major items in the Korean healthcare and life sciences industry was measured higher than the industry average. The results therefore showed a low level of response to U.S. import refusals. The results of the analysis of reasons for import refusals by item according to FDA violation codes were as follows. First of all, the main violation for contact lenses and COVID-19 diagnostic kits corresponded to misbranding. This was often due to the fact that Korean companies did not provide the relevant notices and information required by the FDA. Many cases also failed to demonstrate a substantial equivalency compared to predicate devices already on the market. On the other hand, applications for new unapproved drugs were not accepted as they had yet to pass relevant regulations that would prove their safety and efficacy. In conclusion, import refusals for the Korean healthcare and life sciences industry were found to be closely related to technical barriers to trade (TBT).