• International journal of advanced smart convergence
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• v.8 no.3
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• pp.69-77
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• 2019

Today, most of elevators have an emergency call facility for emergency situations. However, if the network installed in the elevator is also out of power, it cannot be used for the elevator remote monitoring and management. So, we develop an integrated and unified emergency call system, which can transmit not only telephone call but also data signals using PSTN(Public Switched Telephone Network) in order to remote monitoring and management of elevators, even though a power outage occurs. The proposed integrated emergency call system to process multiple data such as voice and operational information is a multi-channel board system which is composed of an emergency phone signal processing module and an operational information processing module in the control box of elevator. In addition, the RMS(remote management server) systems based on the Web consist of a dial-up server and a remote monitoring server where manages the elevator's operating information, status records, and operational faults received via the proposed integrated and unified emergency call system in real time. So even if there's a catastrophic emergency, the proposed RMS systems shall ensure and maintain the safety of passengers inside the elevator. Also, remote control of the elevator by this system should be more efficient and secure. In near future, all elevator emergency call system need to support multifunctional capabilities to transmit operational data as well as phone calls for the safety of passengers. In addition, for safer elevators, it is necessary to improve them more efficiently by combining them with high-tech technologies such as the Internet of Things and artificial intelligence.

• Biomolecules & Therapeutics
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• v.30 no.3
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• pp.265-273
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• 2022

Resistance to chemotherapeutic drugs is a significant problem in the treatment of colorectal cancer, resulting in low response rates and decreased survival. Recent studies have shown that shikonin, a naphthoquinone derivative, promotes apoptosis in colon cancer cells and cisplatin-resistant ovarian cells, raising the possibility that this compound may be effective in drug-resistant colorectal cancer. The aim of this study was to characterize the molecular mechanisms underpinning shikonin-induced apoptosis, with a focus on endoplasmic reticulum (ER) stress, in a 5-fluorouracil-resistant colorectal cancer cell line, SNU-C5/5-FUR. Our results showed that shikonin significantly increased the proportion of sub-G₁ cells and DNA fragmentation and that shikonin-induced apoptosis is mediated by mitochondrial Ca²⁺ accumulation. Shikonin treatment also increased the expression of ER-related proteins, such as glucose regulatory protein 78 (GRP78), phospho-protein kinase RNA-like ER kinase (PERK), phospho-eukaryotic initiation factor 2 (eIF2α), phospho-phosphoinositol-requiring protein-1 (IRE1), spliced X-box-binding protein-1 (XBP-1), cleaved caspase-12, and C/EBP-homologous protein (CHOP). In addition, siRNA-mediated knockdown of CHOP attenuated shikonin-induced apoptosis, as did the ER stress inhibitor TUDCA. These data suggest that ER stress is a key factor mediating the cytotoxic effect of shikonin in SNU-C5/5-FUR cells. Our findings provide an evidence for a mechanism in which ER stress leads to apoptosis in shikonin-treated SNU-C5/5-FUR cells. Our study provides evidence to support further investigations on shikonin as a therapeutic option for 5-fluorouracil-resistant colorectal cancer.

• Smart Structures and Systems
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• v.29 no.1
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• pp.195-206
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• 2022

Crack detection is essential for inspection of existing structures and crack segmentation based on deep learning is a significant solution. However, datasets are usually one of the key issues. When building a new dataset for deep learning, laborious and time-consuming annotation of a large number of crack images is an obstacle. The aim of this study is to develop an approach that can automatically select a small portion of the most informative crack images from a large pool in order to annotate them, not to label all crack images. An active learning method with difficulty learning mechanism for crack segmentation tasks is proposed. Experiments are carried out on a crack image dataset of a steel box girder, which contains 500 images of 320×320 size for training, 100 for validation, and 190 for testing. In active learning experiments, the 500 images for training are acted as unlabeled image. The acquisition function in our method is compared with traditional acquisition functions, i.e., Query-By-Committee (QBC), Entropy, and Core-set. Further, comparisons are made on four common segmentation networks: U-Net, DeepLabV3, Feature Pyramid Network (FPN), and PSPNet. The results show that when training occurs with 200 (40%) of the most informative crack images that are selected by our method, the four segmentation networks can achieve 92%-95% of the obtained performance when training takes place with 500 (100%) crack images. The acquisition function in our method shows more accurate measurements of informativeness for unlabeled crack images compared to the four traditional acquisition functions at most active learning stages. Our method can select the most informative images for annotation from many unlabeled crack images automatically and accurately. Additionally, the dataset built after selecting 40% of all crack images can support crack segmentation networks that perform more than 92% when all the images are used.

• Nuclear Engineering and Technology
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• v.55 no.9
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• pp.3409-3416
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• 2023

Licensing the next-generation of nuclear reactor designs requires extensive use of Modeling and Simulation (M&S) to investigate system response to many operational conditions, identify possible accidental scenarios and predict their evolution to undesirable consequences that are to be prevented or mitigated via the deployment of adequate safety barriers. Deep Learning (DL) and Artificial Intelligence (AI) can support M&S computationally by providing surrogates of the complex multi-physics high-fidelity models used for design. However, DL and AI are, generally, low-fidelity 'black-box' models that do not assure any structure based on physical laws and constraints, and may, thus, lack interpretability and accuracy of the results. This poses limitations on their credibility and doubts about their adoption for the safety assessment and licensing of novel reactor designs. In this regard, Physics Informed Neural Networks (PINNs) are receiving growing attention for their ability to integrate fundamental physics laws and domain knowledge in the neural networks, thus assuring credible generalization capabilities and credible predictions. This paper presents the use of PINNs as surrogate models for accidental scenarios simulation in Nuclear Power Plants (NPPs). A case study of a Loss of Heat Sink (LOHS) accidental scenario in a Nuclear Battery (NB), a unique class of transportable, plug-and-play microreactors, is considered. A PINN is developed and compared with a Deep Neural Network (DNN). The results show the advantages of PINNs in providing accurate solutions, avoiding overfitting, underfitting and intrinsically ensuring physics-consistent results.

• The Journal of Bigdata
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• v.9 no.1
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• pp.197-208
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• 2024

Today, faculty performance evaluations conducted in universities to comprehensively assess faculty members have yielded outcomes that deviate from the original intent of the system due to its quantitative assessment-centric approach. The field of theater arts, in particular, faces challenges in fairly and objectively measuring research and creative achievements through traditional quantitative evaluation methods, owing to the highly subjective nature of its outputs compared to other academic disciplines. This study proposes a method to improve the evaluation of research and creative achievements in the field of theater arts through the utilization of big data. First, we investigated the current evaluation criteria and methods used in research and creative achievement assessments in theater arts departments at major domestic universities. Next, we analyzed the key issues related to the existing evaluation system for research and creative achievements in the field of theater arts. Finally, we presented an improvement plan for the evaluation system using the big data available from the Korea Performing Arts Box Office Information System (KOPIS). This study aims to support the research and creative activities of theater arts faculty more effectively and to enhance the competitive edge of universities.

• Journal of Intelligence and Information Systems
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• v.22 no.3
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• pp.71-89
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• 2016

Sentiment analysis is used for identifying emotions or sentiments embedded in the user generated data such as customer reviews from blogs, social network services, and so on. Various research fields such as computer science and business management can take advantage of this feature to analyze customer-generated opinions. In previous studies, the star rating of a review is regarded as the same as sentiment embedded in the text. However, it does not always correspond to the sentiment polarity. Due to this supposition, previous studies have some limitations in their accuracy. To solve this issue, the present study uses a supervised sentiment classification model to measure a more accurate sentiment polarity. This study aims to propose an advanced sentiment classifier and to discover the correlation between movie reviews and box-office success. The advanced sentiment classifier is based on two supervised machine learning techniques, the Support Vector Machines (SVM) and Feedforward Neural Network (FNN). The sentiment scores of the movie reviews are measured by the sentiment classifier and are analyzed by statistical correlations between movie reviews and box-office success. Movie reviews are collected along with a star-rate. The dataset used in this study consists of 1,258,538 reviews from 175 films gathered from Naver Movie website (movie.naver.com). The results show that the proposed sentiment classifier outperforms Naive Bayes (NB) classifier as its accuracy is about 6% higher than NB. Furthermore, the results indicate that there are positive correlations between the star-rate and the number of audiences, which can be regarded as the box-office success of a movie. The study also shows that there is the mild, positive correlation between the sentiment scores estimated by the classifier and the number of audiences. To verify the applicability of the sentiment scores, an independent sample t-test was conducted. For this, the movies were divided into two groups using the average of sentiment scores. The two groups are significantly different in terms of the star-rated scores.

• Journal of the Korea institute for structural maintenance and inspection
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• v.16 no.4
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• pp.34-43
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• 2012

The behaviors of the curved bridges which has been constructed in the RAMP or Interchange are very complicate and different than orthogonal bridges according to the variations of radius of curvature, skew angle and spacing of shoes. Occasionally, the camber of girder and negative reactions can be occurred due to bending and torsional moment. In this study, the effects on the negative reaction in the curved bridge were investigated on the basis of design variables such as radius of curvature, skew angle, and spacing of shoes. For this study, the twin-steel box girder curved bridge with single span which is applicable for the RAMP bridges with span length(L) of 50.0m and width of 9.0m was chosen and the structural analysis to calculate the reactions was conducted using 3-dimensional equivalent grillage system. The value of negative reaction in curved bridges depends on the plan structures of bridges, the formations of structural systems, and the boundary conditions of bearing, so, radius of curvature, skew angle, and spacing of shoes among of design variables were chosen as the parameter and the load combination according to the design standard were considered. According to the results of numerical analysis, the negative reaction in curved bridge increased with an decrease of radius of curvature, skew angle, and spacing of shoes, respectively. Also, in case of skew angle of $60^{\circ}$ the negative reaction has been always occurred without regard to ${\theta}/B$, and in case of skew angle of $75^{\circ}$ the negative reaction hasn't been occurred in ${\theta}/B$ below 0.27 with the radius of curvature of 180m and in ${\theta}/B$ below 0.32 with the radius of curvature of 250m, and in case of skew angle of $90^{\circ}$ the negative reaction hasn't been occurred in the radius of curvature over 180m and in ${\theta}/B$ below 0.38 with the radius of curvature of 130m, The results from this study indicated that occurrence of negative reaction was related to design variables such as radius of curvature, skew angle, and spacing of shoes, and the problems with the stability including negative reaction will be expected to be solved as taken into consideration of the proper combinations of design variables in design of curved bridge.

• Korean Journal of Heritage: History & Science
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• v.41 no.2
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• pp.61-78
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• 2008

Celadons painted in underglaze iron brown 'Sung(成)' inscription are characteristic celadons excavated only at the No. 7 kiln site located at Sadang-ri(沙堂里), Daegu-myeon(大口面), Gangjin-gun(康津郡), Jeollanamdo(全羅南道), Korea and has inscription in the inner center of the foot by brush. The inscription was marked where it is not easily seen. it can be assumed that since it showed a variety of hand writings, many people were involved in manufacturing these celadons and the 'Sung' inscription was marked after workshop rather than manufacturer. It was also found that quality of glaze, paste, shape, pattern and firing method were same and these were manufactured with the same techniques in the same period. Kinds of these celadons were mainly sets of tablewares including bowl with handle, bowl, plate, cup, bowl with cover and bottle. Raised relief designs using extrusion technic were especially preferred rather than incised designs and inlaid designs. Cases of using inlaid designs were not frequently found compared to incised designs, thus it can be assumed that in this period, inlaid designs were not generally used. Special designs having the meaning of authority or dignity such as chrysanthemum, peony, parrot and lotus plate designs were not found. Foot was molded with 'U' type except some bowls with cover and plates and firing was done after glazing the whole surface of the ceramic with the support of quartzite at 3 to 4 places of inner bottom of foot. Production period of these celadons with 'Sung' inscription can not be confirmed from other excavation sites outside of No. 7 kiln site at Sadang-ri since there are no other excavation sites whose relics bear 'Sung' inscription. Through comparison research with other relics bear the characteristics of these celadons from tombs, temple sites, shipwrecks, production period of these celadons with 'Sung' inscription can be assumed as second quarter of 13th century. And since the quality of these celadons are generally inferior to the top-quality celadons which were supplied to royal familes and high-ranking aristocrats, it can be deducted that these celadons with 'Sung' inscription were supplied to classes lower than royal familes and high-ranking aristocrats. So it is considered that Celadons with 'Sung' inscription have a great significance as a chronological material to complement the blank of the first half of the 13th century because most of celadons with raised relief designs and engraved relief designs were attributed to 12th century, the period of prosperity.

• Journal of Families and Better Life
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• v.31 no.6
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• pp.53-66
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• 2013

The purpose of this research is to assess the need for wedding etiquette training for couples in order to provide basic educational materials for brides and grooms-to-be. This survey consisted of 43 questions. The questions pertaining to the need for wedding etiquette training were measured using the 5-point Likert scale. The survey was conducted between September 1st, 2011 and December 1st, 2011. The research subjects consisted of 230 brides and grooms-to-be. Questionnaires were analyzed by frequency analysis, F-test, t-test, and correlation analysis using SPSS/win17.0. Based on our findings, we would like to make the following proposals and conclusions. First, as the importance of a wedding education program could be ascertained, educational demands need to be gathered and applied to the operation of such programs. The education and training programs need to be activated by wedding preparation education centers or the Health and Family Support Center, on weekends or week nights 3 months prior to a couple's wedding ceremony. Second, wedding etiquette training content needs to be included in existing education programs that primarily focus on helping couples adapt to married life. Such training content should specifically include the etiquette of exchanging wedding presents, home life etiquette, etiquette for the formal meeting between the families of the bride and bridegroom, pyebaek etiquette and ham (a box of wedding gifts sent by a bridegroom to his bride before the wedding) etiquette. Third, when examining the particulars of the need for wedding etiquette training, we came to the conclusion that couples should be properly educated about the meaning and value of the wedding presents, pyebaek and ham that are required during traditional wedding ceremonies. Fourth, the need for wedding etiquette training was shown to be higher for women than for men. It was also higher for individuals in specialized fields than for ordinary company employees. Wedding etiquette training programs need to be structured with such considerations in mind. Fifth, when structuring the program for wedding etiquette training, the correlation of the needs for training should be considered. It is necessary to prepare training plans by dividing the program into the following categories: the formal meeting between the families of the bride and the bridegroom, ham and wedding presents, wedding ceremony etiquette, pyebaek, and home life etiquette training.

• The KIPS Transactions:PartB
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• v.15B no.1
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• pp.25-36
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• 2008

In this paper, we present a robust hand recognition approach to sudden illumination changes. The proposed approach constructs a background model with respect to hue and hue gradient in HSI color space and extracts a foreground hand region from an input image using the background subtraction method. Eighteen features are defined for a hand pose and multi-class SVM(Support Vector Machine) approach is applied to learn and classify hand poses based on eighteen features. The proposed approach robustly extracts the contour of a hand with variations in illumination by applying the hue gradient into the background subtraction. A hand pose is defined by two Eigen values which are normalized by the size of OBB(Object-Oriented Bounding Box), and sixteen feature values which represent the number of hand contour points included in each subrange of OBB. We compared the RGB-based background subtraction, hue-based background subtraction and the proposed approach with sudden illumination changes and proved the robustness of the proposed approach. In the experiment, we built a hand pose training model from 2,700 sample hand images of six subjects which represent nine numerical numbers from one to nine. Our implementation result shows 92.6% of successful recognition rate for 1,620 hand images with various lighting condition using the training model.