• Journal of Digital Convergence
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• v.11 no.10
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• pp.359-366
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• 2013

Due to the development and market expansion of image analysis and recognition technology, video security such as CCTV cameras and digital storage devices, are required for real-time monitoring systems and intelligent video security systems. This includes the development of more advanced technologies. A rotatable PTZ camera, in a CCTV camera system, has a zoom function so you can acquire a precise picture. However it can cause blind spots, and can not monitor two or more moving objects at the same time. This study concerns, the intelligent tracking of multiple moving objects, CCTV systems, and methods of video surveillance. An intelligent video surveillance system is proposed. It can accurately shoot broad areas and track multiple objects at the same time, much more effectively than using one fixed camera for an entire area or two or more PTZ cameras.

• Journal of the Korea institute for structural maintenance and inspection
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• v.20 no.4
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• pp.1-8
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• 2016

Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring(SHM) technique is ever-increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and are influenced by various external loads. Generally, the visual inspection and non-destructive test for an accessible point of structures are performed by experts. But nowadays, the system is required which is online measurement and detect risk elements automatically without blind spots on structures. In this study, in order to consider the response of non-linear structures, proposed a signal feature extraction and the adaptive threshold setting algorithm utilized to determine the abnormal behavior by using statistical methods such as control chart, root mean square deviation, generalized extremely distribution. And the performance of that was validated by using the acceleration response of structures during earthquakes measuring system of forced vibration tests and actual operation.

• Journal of the Korea Institute of Construction Safety
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• v.1 no.1
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• pp.7-15
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• 2018

The purpose of this study is to analyze the limits of current measures to prevent fire accidents especially in the existence of polyurethane. Suffering numerous fire accidents, preventive measures are strengthened accordingly. However, in the existence of polyurethane, current measures are insufficient since it is still impossible to completely separate inflammables form ignition sources in case of polyurethane used as insulation. In order to identify blind spots of current fire prevention measures, this study conducted analysis on the previous fire accidents and the coverage of current legislative preventive measures. In conclusion, in order to perfectly prevent polyurethane fire accidents, not only controling of working condition but also substitution of noncombustible material for polyurethane is indispensible.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.189-195
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• 2020

The whole world is anxious that aircraft could be used as a tool for terrorism after 9/11. The disappearance of Malaysia Airlines is again adding to fears about aircraft. Because these aircraft attacks cause many human casualties, the purpose of the study is to analyze the problems in the current air security system and to present alternatives. The methodology of the study used a literature research methodology to review the current status of aircraft terrorism and related regulations, such as current aviation-related laws and anti-terrorism laws, and prior studies. The purpose of the Chapter is to present an aviation security system that promotes the safety of air traffic through the prevention of aircraft terror by presenting the roles and improvement measures of aviation security personnel, foreign police officers, intelligence agencies, and legal blind spots and flaws.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.10
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• pp.1375-1380
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• 2021

Korea's security response to application service app is still insufficient due to the initial opening of the public safety network. Therefore, preemptive security measures are essential. In this study, we proposed to establish a 'public safety network app security system' to prevent potential vulnerabilities to the app store that distributes app in public safety network and android operating system that operate app on dedicated terminal devices. In order for an application service app to be listed on the public safety network mobile app store, a dataset of malicious and normal app is first established to extract characteristics and select the most effective AI model to perform static and dynamic analysis. According to the analysis results, 'Safety App Certificate' is certified for non-malicious app to secure reliability for listed apps. Ultimately, it minimizes the security blind spots of public safety network app. In addition, the safety of the network can be secured by supporting public safety application service of certified apps.

• Journal of the Korea Institute of Building Construction
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• v.20 no.6
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• pp.545-554
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• 2020

As recent safety accidents at construction sites can lead to serious accidents that threaten the lives of workers, the role of safety managers in charge of safety management has emerged. However, the current construction safety management system requires the improvement and simplification of the work contents due to the excessive workload and inefficient safety tasks of each person. In this respect, the main purpose of this study is to reduce the occurrence of construction safety accidents by deriving correlations using 2×2 Matrix analysis techniques through expert opinion, simplifying unnecessary tasks and identifying areas requiring improvement. Therefore, if this research reduces inefficient safety manager work and reduces job stress caused by excessive simple document work, thereby efficiently reorganizing safety manager's work to prevent blind spots of hazards and risks, it will ultimately have a great effect on preventing safety accidents at construction sites.

• Journal of Korean society of Dental Hygiene
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• v.20 no.6
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• pp.831-841
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• 2020

Objectives: The purpose of this study was to investigate the oral health status and oral health behavior and identify the factors related to the oral health status by age-specific groups in vulnerable elderly individuals. Methods: We used data from the 7th Korea National Health and Nutrition Examination Survey. The differences in the oral health status and oral health behavior by age-specific groups were analyzed using complex sample chi-square tests and a generalized linear model. The relationship between the oral health status and oral health behavior by age-specific groups was analyzed using a complex samples general linear model. Results: The DMFT index of the young-old elderly was 10.65±0.60, and that of the old-old elderly was 12.78±0.72, which was higher. The condition of the mandibular prosthesis was more common in the old-old elderly, and there was a statistically significant difference (p<0.05). The DMFT index in the old-old elderly was found to be higher as the average number of brushings per day decreased, and no oral examination was performed. Conclusions: The vulnerable elderly themselves are interested in maintaining their own health, and the government needs to undertake efforts to reduce the medical blind spots by supporting institutional and environmental conditions so that health care services can be provided to the vulnerable elderly.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.3
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• pp.86-99
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• 2021

This research proposes the Accident Prevention System to prevent collision accident that can occur due to blind spots such as crossway or school zone using V2I communication. Vision sensor and LiDAR sensor located in the infrastructure of crossway somewhere like that recognize objects and warn vehicles at risk of accidents to prevent accidents in advance. Using deep learning-based YOLOv4 to recognize the object entering the intersection and using the Manhattan Distance value with LiDAR sensors to calculate the expected collision time and the weight of braking distance and secure safe distance. V2I communication used ROS (Robot Operating System) communication to prevent accidents in advance by conveying various information to the vehicle, including class, distance, and speed of entry objects, in addition to collision warning.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.19-28
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• 2021

Esophagogastroduodenoscopy is a method commonly used for early diagnosis of upper gastrointestinal lesions. However, 10-20 percent of the gastric lesions are reported to be missed, due to human error. And countries including the US, the UK, and Japan, the World Endoscopy Organization (WEO) suggested guidelines about essential gastrointestinal parts to take pictures of so that all gastric lesions are observed. In this paper, we propose deep learning techniques for classification of anatomical sites, aiming for the system that informs practitioners whether they successfully did the gastroscopy without blind spots. The proposed model uses pre-processing modules and data augmentation techniques suitable for gastroscopy images. Not only does the experiment result with a maximum F1 score of 99.6%, but it also shows a error rate of less than 4% based on the actual data. Given the performance results, we found the model to be explainable with the potential to be utilized in the clinical area.

• Journal of Information Technology Services
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• v.20 no.1
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• pp.131-143
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• 2021

Commercial transactions, one of the pillars of the capitalist economy, are occurring countless times every day, especially small and medium-sized businesses. However, small and medium-sized enterprises are bound to be the legal underdogs in contracts for commercial transactions and do not receive legal support for contracts for fair and legitimate commercial transactions. When subcontracting contracts are concluded among small and medium-sized enterprises, 58.2% of them do not apply standard contracts and sign contracts that have not undergone legal review. In order to support small and medium-sized enterprises' fair and legitimate contracts, small and medium-sized enterprises can be protected from legal threats if they can reduce the risk of signing contracts by analyzing various risks in the contract and analyzing and informing them of toxic clauses and omitted contracts in advance. We propose a risk prediction model for the machine reading-based legal contract to minimize legal damage to small and medium-sized business owners in the legal blind spots. We have established our own set of legal questions and answers based on the legal data disclosed for the purpose of building a model specialized in legal contracts. Quantitative verification was carried out through indicators such as EM and F1 Score by applying pine tuning and hostile learning to pre-learned machine reading models. The highest F1 score was 87.93, with an EM value of 72.41.