• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.6
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• pp.1099-1110
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• 2023

The recognition system of autonomous driving and robot navigation performs vision work such as object recognition, tracking, and lane detection after multi-sensor fusion to improve performance. Currently, research on a deep learning model based on the fusion of a camera and a lidar sensor is being actively conducted. However, deep learning models are vulnerable to adversarial attacks through modulation of input data. Attacks on the existing multi-sensor-based autonomous driving recognition system are focused on inducing obstacle detection by lowering the confidence score of the object recognition model.However, there is a limitation that an attack is possible only in the target model. In the case of attacks on the sensor fusion stage, errors in vision work after fusion can be cascaded, and this risk needs to be considered. In addition, an attack on LIDAR's point cloud data, which is difficult to judge visually, makes it difficult to determine whether it is an attack. In this study, image scaling-based camera-lidar We propose an attack method that reduces the accuracy of LCCNet, a fusion model (camera-LiDAR calibration model). The proposed method is to perform a scaling attack on the point of the input lidar. As a result of conducting an attack performance experiment by size with a scaling algorithm, an average of more than 77% of fusion errors were caused.

• Journal of the Daesoon Academy of Sciences
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• v.46
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• pp.33-68
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• 2023

Simwudo (尋牛圖), known as Ox Seeking Pictures, originated in the 11th-12th century and have consistently played a guiding role in the teachings of various religions in East Asia. Some Korean religions that emerged during modern times conveyed their teachings through depictions of ox seeking or herding. Among them, Daesoon Jinrihoe stands out as a representative religion. The belief system of this particular religion elucidates its distinct doctrine and worldview by reimagining Simwudo, into a new set of six panels (seven or nine panels in some variations). The Simwudo of Daesoon Jinrihoe differs from that of Buddhism, particularly in its treatment of meditation (禪), both in terms of context and significance. While they share similarities in the aspect of ox-seeking, the Buddhist Simwudo symbolizes human nature, whereas the Simwudo of Daesoon Jinrihoe represents the great Dao of Heaven and Earth propagated by Kang Jeungsan and brought into completion by Jo Jeongsan. In the Buddhist context, the subject of the search is the Ox, signifying the restoration of a deluded human's pure nature in order to achieve personal salvation and in some version of Simwudo, reenter society to perform salvific actions for others. On the other hand, in the Simwudo of Daesoon Jinrihoe depicts the process of a human attaining immortality and following the teachings of Jeungsan and Jeongsan. This culminates in the final image which is the redemption of the world. The final phase of the Buddhist Simwudo, depending on the version, is either enlightenment (personal salvation) or reentering society to perform salvific actions (as a bodhisattva), whereas the Simwudo of Daesoon Jinrihoe show the simultaneous achievement of the perfection of humanity and the redemption of the world. This distinction highlights the fundamental differences between the Simwudo of these two distinctly different religious traditions. These differences arise from the contrasting purposes pursued by Buddhism and Daesoon Jinrihoe.

• Journal of the Daesoon Academy of Sciences
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• v.48
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• pp.1-40
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• 2024

Time can be the fundamental basis of religious doctrine and the foundation for a life of faith. Therefore, understanding a religion's interpretation of time and exploring its perception is accepted as one of the approaches to comprehending its principles. Based on this idea, this article delves into how chronos (measured time) and kairos (experienced time) are manifested in Daesoon Jinrihoe. In Daesoon Jinrihoe, the moment when chronos and kairos intersect is considered a moment of spiritual experience. Ethical codes are accomplished in the midst of the process of defining this time as the Heavenly Dao and adjusting human affairs accordingly. These ethics lead individuals towards a religious life. East Asian traditions also apply this logic, but Daesoon Jinrihoe differs in that it emphasizes reinterpreted ethics. Furthermore, Daesoon Jinrihoe posits that Degree Numbers (度數) are a device that ensures the transition from chronos to kairos. Degree Numbers, which are both a law of the universe's motion and a function of time, were emphasized by the Kang Jeungsan when he advocated for the discarding of old ways and the creation of the new ways. He thereby urged humans to live in accordance with time. Time is also facilitated in the dimension of ritual observances and participation, with examples including prayers, devotional offerings, and holy works (gongbu, 工夫). Those rituals of Daesoon Jinrihoe actively incorporate a unique basis of reason for this style of engagement with time, which is one of the aspects that is held to secure justification.

• Clinical and Experimental Reproductive Medicine
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• v.32 no.1
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• pp.27-32
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• 2005

Objective: To evaluate the effectiveness of aromatase inhibitor (AI) for ovulation induction in polycystic ovary syndrome (PCOS) patients with thin endometrium, hyper-responsiveness after clomiphene citrate (CC) treatment. Material and Methods: A prospective study was performed in 43 PCOS patients (50 cycles) with ovulatory dysfunction between March 2004 and September 2004. AI group (total 36 cycles) included the patients 1) with thin endometrium below 6 mm on hCG day after CC (n=17), 2) with more than 5 ovulatory follicles after 50mg of CC (n=4), 3) who do not want multiple pregnancy (n=14). Patients were treated with Letrozole 2.5mg for days 3 to 7 of the menstrual cycle. CC group (total 14 cycles) were treated with CC 50~100 mg. Results: In PCOS patients, ovulation was occurred 97.2% after AI use. Between AI group and CC group, there was no significant difference in the mean age, duration of infertility, interval of menstruation, basal FSH, prior treatment cycles, and the day of hCG administration. But, the number of mature follicles (${\geq}15mm$) was lower in the AI group ($1.08{\pm}0.45$ vs. $1.64{\pm}0.75$) (p=0.018), and the thickness of endometrium (mm) was significantly thicker in the AI group ($10.35{\pm}1.74$ vs. $9.23{\pm}1.61$) (p=0.044), and E2 (pg/ml) concentration on hCG day was lower in the AI group ($116.9{\pm}75.8$ vs. $479.5{\pm}300.8$) (p=0.001). Among the AI group, patients with prior thin endometrium (below 6 mm) during CC treatment showed $10.6{\pm}1.6mm$ in the endometrial thickness and $106.6{\pm}66.8pg/ml$ in $E_2$ concentration. Patients with more than 5 ovulatory follicles after CC showed decreased follicle number ($1.25{\pm}0.5$) compared to prior CC cycle. Conclusions: In PCOS patients, AI group showed significantly thicker endometrium, lesser number of mature follicles, and lower E2 concentration on hCG day than CC group. AI might be useful alternative treatment for ovulation induction in PCOS patients with thin endometrium and hyper-responsiveness after CC treatment.

• Journal of Korean Tunnelling and Underground Space Association
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• v.19 no.1
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• pp.95-107
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• 2017

In this study, a preliminary study was undertaken for development of a tunnel incident automatic detection system based on a machine learning algorithm which is to detect a number of incidents taking place in tunnel in real time and also to be able to identify the type of incident. Two road sites where CCTVs are operating have been selected and a part of CCTV images are treated to produce sets of training data. The data sets are composed of position and time information of moving objects on CCTV screen which are extracted by initially detecting and tracking of incoming objects into CCTV screen by using a conventional image processing technique available in this study. And the data sets are matched with 6 categories of events such as lane change, stoping, etc which are also involved in the training data sets. The training data are learnt by a resilience neural network where two hidden layers are applied and 9 architectural models are set up for parametric studies, from which the architectural model, 300(first hidden layer)-150(second hidden layer) is found to be optimum in highest accuracy with respect to training data as well as testing data not used for training. From this study, it was shown that the highly variable and complex traffic and incident features could be well identified without any definition of feature regulation by using a concept of machine learning. In addition, detection capability and accuracy of the machine learning based system will be automatically enhanced as much as big data of CCTV images in tunnel becomes rich.

• Clinical and Experimental Reproductive Medicine
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• v.31 no.4
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• pp.253-260
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• 2004

Objectives: Klinefelter syndrome is the most common genetic cause of male infertility and presents with 47, XXY mainly or 46, XX/47, XXY mosaicism. It is characterized by hypogonadism and azoospermia due to testicular failure, however, sporadic cases of natural pregnancies have been reported. With the development of testicular sperm extraction (TESE) and intracytoplasmic sperm injection (ICSI), sperm can be retrieved successfully and ART is applied in these patients for pregnancy. It has been suggested that the risk of chromosome aneuploidy for both sex chromosome and autosome is increased in the sperms from 47, XXY germ cells. Considering the risk for chromosomal aneuploidy in the offspring, preimplantation genetic diagnosis (PGD) could be applied as a safe and more effective treatment option in Klinefelter syndrome. The aim of this study is to assess the outcome of PGD cycles by using FISH for sex chromosome and autosome in patients with Klinefelter syndrome. Materials and Methods: From Jan. 2001 to Dec. 2003, PGD was attempted in 8 cases of Klinefelter syndrome but TESE was failed to retrieve sperm in the 3 cases, therefore PGD was performed in 8 cycles of 5 cases (four 47, XXY and one 46, XY/47, XXY mosaicism). In one case, ejaculated sperm was used and in 4 cases, TESE sperm was used for ICSI. After fertilization, blastomere biopsy was performed in $6{\sim}7$ cell stage embryo and the chromosome aneuploidy was diagnosed by using FISH with CEP probes for chromosome X, Y and 17 or 18. Results: A total of 127 oocytes were retrieved and ICSI was performed in 113 mature oocytes. The fertilization rate was $65.3{\pm}6.0%$ (mean$\pm$SEM) and 76 embryos were obtained. Blastomere biopsy was performed in 61 developing embryos and FISH analysis was successful in 95.1% of the biopsied blastomeres (58/61). The rate of balanced embryos for chromosome X, Y and 17 or 18 was $39.7{\pm}6.9%$. The rate of aneuploidy for sex chromosome (X and Y) was $45.9{\pm}5.3%$ and $43.2{\pm}5.8%$ for chromosome 17 or 18, respectively. Embryo transfer was performed in all 8 cycles and mean number of transferred embryos was $2.5{\pm}0.5$. In 2 cases, clinical pregnancies were obtained and normal 46, XX and 46, XY karyotypes were confirmed by amniocentesis, respectively. Healthy male and female babies were delivered uneventfully at term. Conclusion: The patients with Klinefelter syndrome can benefit from ART with TESE and ICSI. Considering the risk of aneuploidy for both sex chromosome and autosome in the sperms and embryos of Klinefelter syndrome, PGD could be offered as safe and more effective treatment option.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.12
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• pp.1994-2003
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• 2013

This study is performed to evaluate the effects of purple Kohlrabi addition on the quality properties and stability characteristics of hamburger patties during storage. The patties were prepared by adding 0% (N), 3.3% (K1), 6.6% (K2), and 10% (K3) of chopped purple Kohlrabi. Each patty was tested in triplicate and assigned to one of the four storage periods: 0, 5, 10, or 15 days. Addition of Kohlrabi decreased the protein and lipid contents, however, the ash and moisture contents were significantly increased. The total amino acid contents of N, K1, K2, and K3 were $15.34{\pm}1.02$, $14.57{\pm}1.28$, $15.10{\pm}1.17$, and $16.70{\pm}1.23$ mg/100 g, respectively. Palmitic acid was the most abundant among the saturated fatty acids, while oleic acid was the most abundant unsaturated fatty acids among the four groups. The water holding capacity value and cooking loss were not significantly different among the patties. In the textural characteristics, the addition of Kohlrabi increased the cohesiveness and chewiness values, but did not affect the hardness and springiness values of the patties. In the sensory evaluation, an addition of 10% Kohlrabi had the best score in color, flavor, and total acceptability. The pH of the patties decreased longer period storage; however, the total microbial counts, thiobarbituric acid (TBA) value and volatile basic nitrogen (VBN) content increased during storage. The TBA value and VBN content of the patties containing 10% Kohlrabi were lower than those of the N. Kohlrabi addition decreased the b (yellowness) and a (redness) values, and did not affect the L (lightness) value. Thus, this result suggests that adding Kohlrabi of 10% can be applied to patties for its functionality.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.39 no.1
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• pp.73-78
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• 1994

This experiment was carried out to investigate the major characteristics associated with the flavor rate and their changes according to days after silking of super sweet corn(Cocktail 86) for vegetable and waxy corn(Chalok 1). Ear elongation finished around 22∼24 days after silking. In kernel development, elongation was much more prominant in super sweet corn than that in waxy corn but thickness was vice versa. Pericarp thickness and kernel hardness of super sweet corn were slightly increased but those of waxy corn were increased rapidly as the ears matured. Moisture and sucrose content of super sweet corn remained high but the waxy corn was not. The reducing sugars(glucose, fructose) were relatively high at the early maturity stage but they were decreased as the ears matured and negatively correlated with sucrose and flavor rate. Soluble solids (Brix %) were positively correlated with sucrose and total sugar(sucrose+ glucose+fructose) content in waxy corn but not in super sweet corn and was considered as inappropriate criate criterion to envaluate the sugar content and flavor rate. Pericarp thickness and sucrose content were positively correlated with the flavor rate in both hybrids but total sugar content, and kernel hardness were positively correlated with flavor rate in super sweet corn and waxy corn respectively.

• Journal of Internet Computing and Services
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• v.17 no.1
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• pp.23-33
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• 2016

The current smart lighting is shaped to offer the lighting environment suitable for current context, after identifying user's action and location through a sensor. The sensor-based context awareness technology just considers a single user, and the studies to interpret many users' various context occurrences and conflicts lack. In existing studies, a fuzzy theory and algorithm including ReBa have been used as the methodology to solve context conflict. The fuzzy theory and algorithm including ReBa just avoid an opportunity of context conflict that may occur by providing services by each area, after the spaces where users are located are classified into many areas. Therefore, they actually cannot be regarded as customized service type that can offer personal preference-based context conflict. This paper proposes a priority-based LED lighting control system interpreting multiple context conflicts, which decides services, based on the granted priority according to context type, when service conflict is faced with, due to simultaneous occurrence of various contexts to many users. This study classifies the residential environment into such five areas as living room, 'bed room, study room, kitchen and bath room, and the contexts that may occur within each area are defined as 20 contexts such as exercising, doing makeup, reading, dining and entering, targeting several users. The proposed system defines various contexts of users using an ontology-based model and gives service of user oriented lighting environment through rule based on standard and context reasoning engine. To solve the issue of various context conflicts among users in the same space and at the same time point, the context in which user concentration is required is set in the highest priority. Also, visual comfort is offered as the best alternative priority in the case of the same priority. In this manner, they are utilized as the criteria for service selection upon conflict occurrence.

• Journal of Technology Innovation
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• v.26 no.3
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• pp.37-68
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• 2018

Since the 20th century, automobiles, which are the most common means of transportation, have been evolving as the use of electronic control devices and automotive semiconductors increases dramatically. Automotive semiconductors are a key component in automotive electronic control devices and are used to provide stability, efficiency of fuel use, and stability of operation to consumers. For example, automotive semiconductors include engines control, technologies for managing electric motors, transmission control units, hybrid vehicle control, start/stop systems, electronic motor control, automotive radar and LIDAR, smart head lamps, head-up displays, lane keeping systems. As such, semiconductors are being applied to almost all electronic control devices that make up an automobile, and they are creating more effects than simply combining mechanical devices. Since automotive semiconductors have a high data rate basically, a microprocessor unit is being used instead of a micro control unit. For example, semiconductors based on ARM processors are being used in telematics, audio/video multi-medias and navigation. Automotive semiconductors require characteristics such as high reliability, durability and long-term supply, considering the period of use of the automobile for more than 10 years. The reliability of automotive semiconductors is directly linked to the safety of automobiles. The semiconductor industry uses JEDEC and AEC standards to evaluate the reliability of automotive semiconductors. In addition, the life expectancy of the product is estimated at the early stage of development and at the early stage of mass production by using the reliability test method and results that are presented as standard in the automobile industry. However, there are limitations in predicting the failure rate caused by various parameters such as customer's various conditions of use and usage time. To overcome these limitations, much research has been done in academia and industry. Among them, researches using data mining techniques have been carried out in many semiconductor fields, but application and research on automotive semiconductors have not yet been studied. In this regard, this study investigates the relationship between data generated during semiconductor assembly and package test process by using data mining technique, and uses data mining technique suitable for predicting potential failure rate using customer bad data.