• Journal of the Korea institute for structural maintenance and inspection
• /
• v.28 no.3
• /
• pp.10-18
• /
• 2024

Vehicle loading is one of the main causes of bridge deterioration. Although WiM (Weigh in Motion) can be used to measure vehicle loading on a bridge, it has disadvantage of high installation and maintenance cost due to its contactness. In this study, a non-contact method is proposed to estimate the vehicle loading history of bridges using deep learning and CCTV images. The proposed method recognizes the vehicle type using an object detection deep learning model and estimates the vehicle loading based on the load-based vehicle type classification table developed using the weights of empty vehicles of major domestic vehicle models. Faster R-CNN, an object detection deep learning model, was trained using vehicle images classified by the classification table. The performance of the model is verified using images of CCTVs on actual bridges. Finally, the vehicle loading history of an actual bridge was obtained for a specific time by continuously estimating the vehicle loadings on the bridge using the proposed method.

• Journal of the Korea Convergence Society
• /
• v.13 no.4
• /
• pp.45-51
• /
• 2022

Fear of contact exists due to the prevention of the spread of infectious diseases such as COVID-19. When using the common entrance door of an apartment, access is possible only if the resident enters a password or obtains the resident's permission. There is the inconvenience of having to manually enter the number and password for the common entrance door to enter. Also, contactless entry is required due to COVID-19. Due to the development of ICT, users can be easily identified through the development of face recognition and voice recognition technology. The proposed method detects a visitor's face through a CCTV or camera attached to the common entrance door, recognizes the face, and identifies it as a registered resident. Then, based on the registered information of the resident, it is possible to operate without contact by interworking with the elevator on the server. In particular, if face recognition fails with a hat or mask, the visitor is identified by voice or additional authentication of the visitor is performed based on the voice message. It is possible to block the spread of contagiousness without leaving any contactless function and fingerprint information when entering and exiting the front door of an apartment house, and without the inconvenience of access.

• Journal of Biomedical Engineering Research
• /
• v.27 no.6
• /
• pp.323-331
• /
• 2006

The purpose of this study was to investigate the effect of performing a cognitive task during treadmill walking on the stride rate variability. Ten university students(age $24.0{\pm}0.25$, height $172{\pm}3.1cm$, weight $66{\pm}5.3kg$) were participated in dual task experiments which consist of both walking alone and walking with a cognitive task. Two-back task was selected for the cognitive task since it did not have learning effect during the experimental procedure.3D motion analysis system was used to measure subject's position data by changing walking speed with 4.8, 5.6, 6.4, 6.8, and 7.2 km/hr. Stride rate was calculated by the time between heel contact and heel contact. Accuracy rate of a cognitive task during walking, coefficient of variance, allometric scaling methods and Fano factor were used to estimated the stride rate variability. As the walking speed increased, accuracy rate decreased and the logarithmic value of Fano factor increased which showed the statistical difference. Thus it can be concluded that the gait control mechanism is distracted by the secondary attention focus which is the cognitive task ie. two-back task. Further study is needed to clarify this by increasing the number of subject and experiment time.

• International Journal of Computer Science & Network Security
• /
• v.21 no.8
• /
• pp.267-275
• /
• 2021

Smart application is developed in this paper by using an android-based platform to automatically determine the human emergency state (Lifesaver) by using different technology sensors of the mobile. In practice, this Lifesaver has many applications, and it can be easily combined with other applications as well to determine the emergency of humans. For example, if an old human falls due to some medical reasons, then this application is automatically determining the human state and then calls a person from this emergency contact list. Moreover, if the car accidentally crashes due to an accident, then the Lifesaver application is also helping to call a person who is on the emergency contact list to save human life. Therefore, the main objective of this project is to develop an application that can save human life. As a result, the proposed Lifesaver application is utilized to assist the person to get immediate attention in case of absence of help in four different situations. To develop the Lifesaver system, the GPS is also integrated to get the exact location of a human in case of emergency. Moreover, the emergency list of friends and authorities is also maintained to develop this application. To test and evaluate the Lifesaver system, the 50 different human data are collected with different age groups in the range of (40-70) and the performance of the Lifesaver application is also evaluated and compared with other state-of-the-art applications. On average, the Lifesaver system is achieved 95.5% detection accuracy and the value of 91.5 based on emergency index metric, which is outperformed compared to other applications in this domain.

• Imaging Science in Dentistry
• /
• v.53 no.3
• /
• pp.199-207
• /
• 2023

Purpose: The objective of this study was to evaluate the accuracy and effectiveness of an artificial intelligence (AI) program in identifying dental conditions using panoramic radiographs(PRs), as well as to assess the appropriateness of its treatment recommendations. Materials and Methods: PRs from 100 patients(representing 4497 teeth) with known clinical examination findings were randomly selected from a university database. Three dentomaxillofacial radiologists and the Diagnocat AI software evaluated these PRs. The evaluations were focused on various dental conditions and treatments, including canal filling, caries, cast post and core, dental calculus, fillings, furcation lesions, implants, lack of interproximal tooth contact, open margins, overhangs, periapical lesions, periodontal bone loss, short fillings, voids in root fillings, overfillings, pontics, root fragments, impacted teeth, artificial crowns, missing teeth, and healthy teeth. Results: The AI demonstrated almost perfect agreement (exceeding 0.81) in most of the assessments when compared to the ground truth. The sensitivity was very high (above 0.8) for the evaluation of healthy teeth, artificial crowns, dental calculus, missing teeth, fillings, lack of interproximal contact, periodontal bone loss, and implants. However, the sensitivity was low for the assessment of caries, periapical lesions, pontic voids in the root canal, and overhangs. Conclusion: Despite the limitations of this study, the synthesized data suggest that AI-based decision support systems can serve as a valuable tool in detecting dental conditions, when used with PR for clinical dental applications.

• Korea Trade Review
• /
• v.42 no.4
• /
• pp.159-184
• /
• 2017

OECD MNE Guidelines ('OECD Guidelines') was set forth in 1976 as a form of annex to the OECD Declaration on International Investment and Multinational Enterprises. The objective of the OECD Guidelines is to fulfill the implementation and adoption of the Responsible Business Conduct ('RBC') among the adhering states. To further the effectiveness of the OECD Guidelines, OECD, specifically the Investment Committee of OECD, has utilized National Contact Point ('NCP') structure. According to the Procedural Guidance annexed to the OECD Guidelines, peer learning is prescribed as an important tool for promoting and facilitating the implementation procedures of the OECD Guidelines. This paper, inter alia, is mainly focusing on the peer review mechanism applicable to NCPs because negative assessments by peers are likely to harm Korea's state image and entail international criticisms even though such reviews are conducted voluntarily. In addition, the Working Party on Responsible Business Conduct ('WPRBC') decided to have a peer review of Korean NCP in 2019. This paper first outlines the meaning and current applications of the peer review mechanism, and then analyzes specific peer review cases conducted in Denmark and Belgium in 2015, and in 2016, respectively. Lastly, based on the issues handled in the peer review reports on the above states, this paper makes a few recommendations for Korean government to prepare the peer review scheduled in 2019.

• Journal of Christian Education in Korea
• /
• v.63
• /
• pp.13-37
• /
• 2020

The World Health Organisation(WHO), paying attention to the spread and fatality of the coronavirus(COVID-19), which first occurred in Wuhan, China, declared a global emergency. Although many countries implement strict measures to slow down the spread, WHO officially declared a pandemic. COVID-19 has sparked fears of an impending economic crisis and recession. Due to the economic crisis caused by social distancing, self-isolation and travel restrictions, the collapse of the world economic system centered on free trade and the decline of globalization are mentioned. Political leadership that has not responded properly to the pandemic is challenged, and nearly all of society is rapidly changing to a non-contact and immobile culture. COVID-19 has seriously affected all levels of the education system, from preschool to tertiary education. The so-called old concept of deschooling is realizing in the field of education through digital media paradoxically. Church education is facing a serious crisis as well. Churches are seeking now a new normal that includes theological reflection on the pandemic, online worship, education, and non-face-to-face ministry to overcome the worst unexpected crisis. In the post-corona era, church education must actively seek alternatives in response to rapidly changing surrounding conditions and reconstruct educational philosophy(theology) that focuses on Christian values. In addition, it is necessary to start operating a mobile(or online) church school that combines offline and online. It is necessary to introduce 'Blended Learning' method that combines non-face-to-face and face-to-face learning, and by combining church school and homeschooling, churches and families need to share the responsibility of education in faith.

• The Journal of the Acoustical Society of Korea
• /
• v.42 no.4
• /
• pp.329-344
• /
• 2023

In this study, we comprehensively analyze the generalization performance of various deep learning-based active sonar target classifiers when applied to small and imbalanced active sonar datasets. To generate the active sonar datasets, we use data from two different oceanic experiments conducted at different times and ocean. Each sample in the active sonar datasets is a time-frequency domain image, which is extracted from audio signal of contact after the detection process. For the comprehensive analysis, we utilize 22 Convolutional Neural Networks (CNN) models. Two datasets are used as train/validation datasets and test datasets, alternatively. To calculate the variance in the output of the target classifiers, the train/validation/test datasets are repeated 10 times. Hyperparameters for training are optimized using Bayesian optimization. The results demonstrate that shallow CNN models show superior robustness and generalization performance compared to most of deep CNN models. The results from this paper can serve as a valuable reference for future research directions in deep learning-based active sonar target classification.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
• /
• v.28 no.3
• /
• pp.175-182
• /
• 2022

Heavy metals can be intentionally or unintentionally introduced into plastic food utensils, containers, and packaging (PFUCP) as additives or contaminants, which can be ingested with food by humans. Here, seven-heavy metals (lead, cadmium, nickel, chromium, antimony, copper, and manganese) with toxicity concerns were selected, and risk assessment was done by establishing their migration from 137 PFUCP products made of 16 materials distributed in Korea. Migration of heavy metals was examined by applying 4% acetic acid as a food simulant (70℃, 30 minutes) to the PFUCP products. Inductively coupled plasma mass spectrometry (ICP-MS) was employed for the analysis of migrated heavy metals, and the reliability of quantitative results was confirmed by checking linearity, LOD, LOQ, recovery, precision, and expanded uncertainty. As a result of monitoring, heavy metals were detected at a level of non-detection to 8.76 ± 11.87 ㎍/L and most of the heavy metals investigated were only detected at trace amounts of less than 1 ㎍/L on average. However, antimony migrated from PET products was significantly higher than other groups. Risk assessment revealed that all the heavy metals investigated were safe with a margin of exposure above 311. Collectively, we demonstrated that heavy metals migrated from PFUCP products distributed in Korea appear to be within the safe range.

• Journal of the Korea Convergence Society
• /
• v.8 no.10
• /
• pp.167-172
• /
• 2017

The purpose of this study is to analyze the emotional codes of Sijo, which has been acknowledged to have excellent therapeutic function, to activate the contents of the therapy of humanities. Sijo as a function of healing forms emotional codes of therapy, which is the total of emotions, through the fusion of emotions formed during the process of appreciation of various works. This process enables the literary therapeutic activities to proceed physiologically in the human body. Just as machine learning is self-learning by cognitive functions, the coding process for encoding and re-encoding at all times operates on collections of numerous neurons in the human system. In such a process, it is predicted that amino acids are synthesized in the human body by collective encoding of emotion codes. These amino acids regulate the signaling system of the human body. In the future, if the study on the healing process as such at the contact point of humanities and human physiology proceeds, it is expected that a program of higher quality humanistic therapy will be activated.