• International Journal of Internet, Broadcasting and Communication
• /
• v.16 no.3
• /
• pp.121-138
• /
• 2024

Artificial intelligence is crucial to manufacturing productivity. Understanding the difficulties in producing disruptions, especially in linear feed robot systems, is essential for efficient operations. These mechanical tools, essential for linear movements within systems, are prone to damage and degradation, especially in the LM guide, due to repetitive motions. We examine how explainable artificial intelligence (XAI) may diagnose wafer linear robot linear rail clearance and ball screw clearance anomalies. XAI helps diagnose problems and explain anomalies, enriching management and operational strategies. By interpreting the reasons for anomaly detection through visualizations such as Class Activation Maps (CAMs) using technologies like Grad-CAM, FG-CAM, and FFT-CAM, and comparing 1D-CNN with 2D-CNN, we illustrates the potential of XAI in enhancing diagnostic accuracy. The use of datasets from accelerometer and torque sensors in our experiments validates the high accuracy of the proposed method in binary and ternary classifications. This study exemplifies how XAI can elucidate deep learning models trained on industrial signals, offering a practical approach to understanding and applying AI in maintaining the integrity of critical components such as LM guides in linear feed robots.

• The Journal of Engineering Geology
• /
• v.29 no.4
• /
• pp.553-563
• /
• 2019

In order to survey archaeological sites, drilling and excavation are carried out at the final stage. However, at the preliminary stage, non-excavation geophysical prospection is used for assessing underground archaeological ruins. Among the geophysical prospecting techniques, Ground Penetration Radar (GPR) prospection has effectively been applied to historical sites due to its high resolution at shallow depths. In this study, the GPR prospection was conducted to find underground ruins near Suseong-Dang, the place of ancient rituals in Buan area, Korea. First, the GPR prospection was conducted at three sites (Site-1, 2, and 3), and subsequently, the GPR prospection was carried out at Site-3 in more detail. As a result of the prospection, the underground layered structure of the survey area consists of three layers, which are soil layer, weathered rock, and sound rock from the surface. And the GPR anomaly to the archaeological structure was clearly identified at around 100-cm depth showing est-west direction that is parallel to the long-axis array. This GPR anomaly of irregular geomorphological features and intermittent distribution may be related to the ritual remains found in Suseong Dang. The GPR prospection could be effectively used to detect archaeological sites or remains buried in the ground.

• Journal of the korean academy of Pediatric Dentistry
• /
• v.23 no.2
• /
• pp.429-449
• /
• 1996

An objective definition of the anomaly is not avaliable and most investigators define the term differently or fail to describe their criterion. Because dental anomaly may lead to many complications, early detection and diagnosis of dental anomalies are essential steps in the evaluation of the child patient and in treatment planning. These procedures require detailed medical and dental histories, through clinical examination and the use of radiographs. So, this study was designed to find out the prevalence of dental anomalies. The clinical and roentgenographic examination was undertaken for 8,054 children at age from 0 to 15 years and statistical analysis was done. The results were as follows : 1. Among the examined subjects, 2,134 subjects(26.5%) showed dental anomalies. The prevalence of individual dental anomalies were as follows : supernumerary teeth 15.6%, congenitally missing teeth 6.6%, fusion 2.2%, odontoma 0.35%, microdontia 1.2%, macrodontia 0.05%, gemination 0.22%, talon cusp 0.36%, dens evaginatus 0.24%, dens invaginatus 0.15%, dilaceration 0.27%, taurodontism 0.09%, abnormal tooth position 1.7%, natal & neonatal teeth 0.92%, amelogenesis imperfecta 0.01%. 2. Significant correlations between the groups with individual dental anomalies were as follows : between group I and other groups, there was negative correlation, especially group I and group II. And the correlation coefficient between male and female showed differences. 3. For the supernumerary teeth group, the prevalence of male was higher than female(p<0.001). While for the congenitally missing teeth, macrodontia, microdontia, abnormal tooth position group, the prevalence of female was greater than male(p<0.001). 4. For the congenitally missing teeth group, the mandibular primary lateral incisor showed the highest incidence in primary dentiton, while mandibular lateral incisor in permanent dentition. In the mandible(72.5%), this site showed higher prevalence than in maxilla. In the case with deciduous congenitally missing teeth, the prevalence of successive permanent congenitally missing teeth was about 33.9%, the incidence was highest in mandibular lateral incisors. 5. Most supernumerary teeth existed on middle area and showed inverted position and unerupted state. In addition, supernumerary teeth showed higher incidence on maxilla (99.3%). 6. In the case with deciduous fused teeth, the prevalence of successive permanent congenitally missing teeth was 39.9%, while that of successive permanent fused teeth was 2.7%. And the highest rate of the prevalence (40.3%) appeared in fusion of mandibular deciduous lateral incisor and canine. 7. In the case of odontoma, the prevalence was higher in maxilla(78.6%) and anterior region(82.7%) than mandible and posterior region.

• Archives of Plastic Surgery
• /
• v.34 no.2
• /
• pp.181-185
• /
• 2007

Purpose: Cleft lip and/or palate is the most common congenital facial anomaly whose incidence is about 1 in 500~1000 live births. As this anomaly may be associated with the serious chromosomal anomalies or the multiple organ abnormalities resulting in the fetal loss or perinatal maternal morbidity and mortality, careful prenatal counseling with early and accurate detection is important. Although conventional prenatal ultrasound(US) examination in midterm pregnancy has been applied for screening of cleft lip, there are definite limitations in the diagnosis of accompanying cleft palate or alveolar cleft. We applied high-resolution 3D US along the serial axial, coronal and sagittal plane so that we could diagnose the cleft palate and/or alveolar cleft in fetuses with cleft lip. Methods: From May 2005 to September 2005, 20 fetuses with cleft lip were examined with prenatal 3D US. Average maternal age was 28.8 years old(24-35 years old), and average gestational age was 24.8 weeks(17.6 to 34.2 weeks). Consecutive axial, coronal and sagittal multislice view were obtained via prenatal 3D US examination and diagnosis of cleft palate and/or alveolar cleft in cleft lip fetuses was followed. Results: With noninvasive and safe prenatal 3D US examination, 17 of 20 cleft lip fetuses were demonstrated to have cleft palate and/or alveolar cleft. Prenatal counseling according to the result was made. Conclusion: Existing prenatal US examination is suitable for screening the cleft lip fetuses but has limitation in identifying the related existence of cleft palate and/ or alveolar cleft. Authors verify the presence of cleft palate and/or alveolar cleft acquiring the successive multislice axial, coronal, and sagittal view with prenatal 3D US examination. Therefore, prenatal 3D US examination could be regarded as a noninvasive and secure screening modality in fetuses with cleft lip for confirming whether cleft palate and/or alveolar cleft is accompanied.

• Atmosphere
• /
• v.29 no.3
• /
• pp.257-267
• /
• 2019

This study is to assess the applicability of the Extreme Forecast Index (EFI) algorithm of the ECMWF seasonal forecast system to the Global Seasonal Forecasting System version 5 (GloSea5), operational seasonal forecast system of the Korea Meteorological Administration (KMA). The EFI is based on the difference between Cumulative Distribution Function (CDF) curves of the model's climate data and the current ensemble forecast distribution, which is essential to diagnose the predictability in the extreme cases. To investigate its applicability, the experiment was conducted during the heat-wave cases (the year of 1994 and 2003) and compared GloSea5 hindcast data based EFI with anomaly data of ERA-Interim. The data also used to determine quantitative estimates of Probability Of Detection (POD), False Alarm Ratio (FAR), and spatial pattern correlation. The results showed that the area of ERA-Interim indicating above 4-degree temperature corresponded to the area of EFI 0.8 and above. POD showed high ratio (0.7 and 0.9, respectively), when ERA-Interim anomaly data were the highest (on Jul. 11, 1994 (> $5^{\circ}C$) and Aug. 8, 2003 (> $7^{\circ}C$), respectively). The spatial pattern showed a high correlation in the range of 0.5~0.9. However, the correlation decreased as the lead time increased. Furthermore, the case of Korea heat wave in 2018 was conducted using GloSea5 forecast data to validate EFI showed successful prediction for two to three weeks lead time. As a result, the EFI forecasts can be used to predict the probability that an extreme weather event of interest might occur. Overall, we expected these results to be available for extreme weather forecasting.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.22 no.4
• /
• pp.851-868
• /
• 2012

After the financial crisis in 2008, the financial market still seems to be unstable with expanding the insolvency of the financial companies' real estate project financing loan in the aftermath of the lasted real estate recession. Especially after the illegal actions of people's financial institutions disclosed, while increased the anxiety of economic subjects about financial markets and weighted in the confusion of financial markets, the potential risk for the overall national economy is increasing. Thus as economic recession prolongs, the people's financial institutions having a weak profit structure and financing ability commit illegal acts in a variety of ways in order to conceal insolvent assets. Especially it is hard to find the loans of shareholder and the same borrower sharing credit risk in advance because most of them usually use a third-party's name bank account. Therefore, in order to effectively detect the fraud under other's name, it is necessary to analyze by clustering the borrowers high-related to a particular borrower through an analysis of association between the whole borrowers. In this paper, we introduce Analysis Techniques for detecting financial loan frauds in advance through an analysis of association between the whole borrowers by extending SNA(social network analysis) which is being studied by focused on sociology recently to the forensic accounting field of the financial frauds. Also this technique introduced in this pager will be very useful to regulatory authorities or law enforcement agencies at the field inspection or investigation.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
• /
• v.26 no.4
• /
• pp.307-326
• /
• 2021

Real-time sea level observations from tide gauges include missing and erroneous values. Classification as abnormal values can be done for the latter by the quality control procedure. Although the 3𝜎 (three standard deviations) rule has been applied in general to eliminate them, it is difficult to apply it to the sea-level data where extreme values can exist due to weather events, etc., or where erroneous values can exist even within the 3𝜎 range. An artificial intelligence model set designed in this study consists of non-annotated recurrent neural networks and ensemble techniques that do not require pre-labeling of the abnormal values. The developed model can identify an erroneous value less than 20 minutes of tide gauge recording an abnormal sea level. The validated model well separates normal and abnormal values during normal times and weather events. It was also confirmed that abnormal values can be detected even in the period of years when the sea level data have not been used for training. The artificial neural network algorithm utilized in this study is not limited to the coastal sea level, and hence it can be extended to the detection model of erroneous values in various oceanic and atmospheric data.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.27 no.1
• /
• pp.25-38
• /
• 2017

Many security threats are occurring around the world due to the characteristics of industrial control systems that can cause serious damage in the event of a security incident including major national infrastructure. Therefore, the industrial control system network traffic should be analyzed so that it can identify the attack in advance or perform incident response after the accident. In this paper, we research the visualization technique as network forensics to enable reasonable suspicion of all possible attacks on DNP3 control system protocol, and define normal action based rules and derive visualization requirements. As a result, we developed a visualization tool that can detect sudden network traffic changes such as DDoS and attacks that contain anormal behavior from captured packet files on industrial control system network. The suspicious behavior in the industrial control system network can be found using visualization tool with Digital Bond packet.

• Proceedings of the KSRS Conference
• /
• 2005.10a
• /
• pp.237-240
• /
• 2005

Calibration and Validation are major element of any space borne Earth Observation Mission. These activities are the major objective of the commissioning phases but routine activities shall be maintained during the whole mission in order to maintain the quality of the product delivered to the users or at least to fully characterise the evolution with time of the product quality. With the launch of ERS-l in 1991, the European Space Agency decided to put in place a group dedicated to these activities, along with the daily monitoring of the product quality for anomaly detection and algorithm evolution. These four elements are all strongly linked together. Today this group is fully responsible for the monitoring of two ESA missions, ERS-2 and Envisat, for a total of 12 instruments of various types, preparing itself for the Earth Explorer series of five. other satellites (Cryosat, Goce, SMOS, ADM-Aeolus, Swarm) and at various levels in past and future Third Party Missions such as Landsat, J-ERS, ALOS and KOMPSAT. The Joint proposal by the European Union and the European Space Agency for a 'Global Monitoring for Environment and Security' project (GMES), triggers a review of the scope of these activities in a much wider framework than the handling of single missions with specific tools, methods and activities. Because of the global objective of this proposal, it is necessary to put in place Multi-Mission Calibration and Validation systems and procedures. GMES Calibration and Validation activities will rely on multi source data access, interoperability, long-term data preservation, and definition standards to facilitate the above objectives. The scope of this presentation is to give an overview of the current Calibration and Validation activities at ESA, and the planned evolution in the context of GMES.

• Proceedings of the KSRS Conference
• /
• 2005.10a
• /
• pp.149-152
• /
• 2005

A new methodology to detect forest fire burnt scars at near real time using MODIS (Moderate-resolution Imaging Spectroradiometer) data is presented here with a goal of introducing a new and improved capability to detect forest fire burnt scars in Thailand. This new technology is expected to increase the efficiency and effectiveness of the forest fire tackling resources distribution and management of the country. Using MODIS data in burnt scars detection has two major advantages - high availability of data and high resolution per performance ratio. Results prove the near real time algorithm suitable and working well in order to monitor the forest fire dynamic movement. The algorithm is based on the threshold separated linear equation of burnt and un-burnt. A ground truth experiment confirms the burnt and un-burnt? areas characteristics (temperature and NDVI). A threshold line on a scatter plot of Band I and Band 2 is determined to separate the burnt from un-burnt pixels. The different threshold values of NDVI and temperature use to identify pixels' anomaly, abnormal low NDVI and high temperature. The overlay (superimpose) method is used to verify burnt pixels. Since forest fire is a dynamic phenomenon, MODIS burnt scars information is suiting well to fill in the missing temporal information of LANDSAT for the forest fire control managing strategy in Thailand. This study was conducted in the Huai-Kha-Kaeng (HKK) Wildlife Sanctuary, Thailand