• The KIPS Transactions:PartB
• /
• v.13B no.7 s.110
• /
• pp.689-698
• /
• 2006

Pattern recognition is the study of how machines can observe the environment, learn to distinguish patterns of interest from their background, and make sound and reasonable decisions about the categories of the patterns. Color image consists of various color patterns. And most pattern recognition methods use the information of color which has been trained and extract the feature of the color. This thesis extracts adaptively specific color feature from images with several limited colors. Because the number of the color patterns is limited, the distribution of the color in the image is similar. But, when there are some noises and distortions in the image, its distribution can be various. Therefore we cannot extract specific color regions in the standard image that is well expressed in special color patterns to extract, and special color regions of the image to test. We suggest new method to reduce the error of recognition by extracting the specific color feature adaptively for images with the low distortion, and six test images with some degree of noises and distortion. We consequently found that proposed method shouws more accurate results than those of statistical pattern recognition.

• Journal of the Daesoon Academy of Sciences
• /
• v.27
• /
• pp.245-282
• /
• 2016

Currently, the whole world is being swept away by spiritual movements seeking divinity in oneself. Yet there are terror attacks, religious disputes and other conflicts continuously taking place on larger and larger scales as well as expanding further and further throughout the world. Interreligious harmony seems like a distant ideal. What is the ultimate cause of religious conflicts? Is interreligious communication truly that difficult? Even among different cultures, said cultures' varieties of ritual expressions, and various religious doctrines, there are points of general common to be appreciated if a deep perspective is adopted. When we find the common ground and understand each other's difference, it will be easier to communicate since everyone will be learning from each other. What could serve as common ground for different religions? Many scholars speak about the state of 'oneness' that is claimed by mysticism throughout a large array of religions. This state of oneness is typically not achieved overnight, but it serves as a prospective state which is pluralistically inclusive. This "religion of enlightenment" emphasizes the process of reaching comprehensive interreligious agreement would be characterized by a deep religious perspective. If superficial religious perspectives focuses only on faith to attain blessings and engage in blind belief, then, by contrast, deep religious perspectives emphasize inner divinity, the true self, orthe higher self. The words, 'superficial religious perspective' and 'deep religious perspective' were defined for personal convenience by O Gang-nam, a scholar of comparative religion. Consequently, this classification is a relative binary concept lacking hard and fast rules with regards to distinctions. But the concept of superficial religious perspectives and deep religious perspectives has its advantage in allowing clearer and easier discussion about religions because it could embrace all aspects of religious life and the development of various religious sentiment. In this way, the terms surface religious perspectives and deep religious perspectives will be used in limited framework. I both borrow this concept and reconsider it by referring to other scholars' methods of classification. From that point, I explore and these views in relation to religious experience. How does religiosity develop, maturity of religious faith take place, deep awareness of truth reveal itself, or an attitude of open-mindedness arise? After these states are realized, is interreligious agreement possible? Most religious studies scholars point out 'religious experience.' They say people could develop their faith from superficial religious beliefs into a more mature and deeper faith through religious experience while continuously aspiring towards enlightenment and practicing their religion in daily life. This study will try to examine aspects of superficial religious perspectives and deep religious perspectives represented in each religion and also explore criticism of each religion. With this view of superficial religious perspectives and deep religious perspectives, some cases documenting the religious experience of Daesoonjinrihoe disciples will be analyzed to see how their religiosity develops from superficial religious perspectives into deep religious perspectives through certain religious experiences. The characteristics of those experiences will also be investigated.

• Journal of Intelligence and Information Systems
• /
• v.19 no.3
• /
• pp.113-125
• /
• 2013

Every company wants to know customer's requirement and makes an effort to meet them. Cause that, communication between customer and company became core competition of business and that important is increasing continuously. There are several strategies to find customer's needs, but VOC (Voice of customer) is one of most powerful communication tools and VOC gathering by several channels as telephone, post, e-mail, website and so on is so meaningful. So, almost company is gathering VOC and operating VOC system. VOC is important not only to business organization but also public organization such as government, education institute, and medical center that should drive up public service quality and customer satisfaction. Accordingly, they make a VOC gathering and analyzing System and then use for making a new product and service, and upgrade. In recent years, innovations in internet and ICT have made diverse channels such as SNS, mobile, website and call-center to collect VOC data. Although a lot of VOC data is collected through diverse channel, the proper utilization is still difficult. It is because the VOC data is made of very emotional contents by voice or text of informal style and the volume of the VOC data are so big. These unstructured big data make a difficult to store and analyze for use by human. So that, the organization need to automatic collecting, storing, classifying and analyzing system for unstructured big VOC data. This study propose an intelligent VOC analyzing system based on opinion mining to classify the unstructured VOC data automatically and determine the polarity as well as the type of VOC. And then, the basis of the VOC opinion analyzing system, called domain-oriented sentiment dictionary is created and corresponding stages are presented in detail. The experiment is conducted with 4,300 VOC data collected from a medical website to measure the effectiveness of the proposed system and utilized them to develop the sensitive data dictionary by determining the special sentiment vocabulary and their polarity value in a medical domain. Through the experiment, it comes out that positive terms such as "칭찬, 친절함, 감사, 무사히, 잘해, 감동, 미소" have high positive opinion value, and negative terms such as "퉁명, 뭡니까, 말하더군요, 무시하는" have strong negative opinion. These terms are in general use and the experiment result seems to be a high probability of opinion polarity. Furthermore, the accuracy of proposed VOC classification model has been compared and the highest classification accuracy of 77.8% is conformed at threshold with -0.50 of opinion classification of VOC. Through the proposed intelligent VOC analyzing system, the real time opinion classification and response priority of VOC can be predicted. Ultimately the positive effectiveness is expected to catch the customer complains at early stage and deal with it quickly with the lower number of staff to operate the VOC system. It can be made available human resource and time of customer service part. Above all, this study is new try to automatic analyzing the unstructured VOC data using opinion mining, and shows that the system could be used as variable to classify the positive or negative polarity of VOC opinion. It is expected to suggest practical framework of the VOC analysis to diverse use and the model can be used as real VOC analyzing system if it is implemented as system. Despite experiment results and expectation, this study has several limits. First of all, the sample data is only collected from a hospital web-site. It means that the sentimental dictionary made by sample data can be lean too much towards on that hospital and web-site. Therefore, next research has to take several channels such as call-center and SNS, and other domain like government, financial company, and education institute.

• Journal of Conservation Science
• /
• v.9 no.1
• /
• pp.1-10
• /
• 2000

In 1993, many bronze artifacts were excavated from the Sanoesa Temple(思惱寺), Chongju, Chungbuk. Twelve items were selected and chemically analyzed with AA Spectrometry and ICP-Atomic Emission Spectrometry. They were also observed under the optical microscopy and SEM. According to the results from chemical analysis, production method and use, these artifacts were classified into four groups: casting, wrought and welding products, and bells. Cast products, probably used for ritual, were alloy of 70% Cu, 10% Sn and 20% Pb. They showed ${\alpha}+{\beta}$ phase as a typical microstructure of casting. The ${\delta}$ phase was rarely observed due to the small amount of Sn. These artifacts included more lead than other alloys. They showed segregation like island-shape on the lead part. Wrought products used for daily too1s. were alloy of 80% Cu and 20% Sn. Since they were consist of ${\alpha}$ phase and martensite ${\beta}$ phase, it could be presumed that they were heat-treated. The production method could be identified from twinned grains in ${\alpha}$ phase. Lead was not included in because it had a bad effect to alloy. The bells were alloyed with 85% Cu, 10% Sn, 5% Pb or 90% Cu and 10% Sn. They show the dendrite structure because they were cast and alloyed with many tin. Weldinged were alloyed with 83% Cu, 12% Sn and 5% Pb. lt showed the fine dendrite structure because of fast cooling in air.

• Korean Journal of Fisheries and Aquatic Sciences
• /
• v.26 no.2
• /
• pp.182-197
• /
• 1993

Algal community on the subtidal rocky zone of the South Sea of Korea was divided into two or three sequencing zones. The upper subtidal zone was characterized by the wave exposure-tolerant surf wrack(Pachymeniopsis, Gigartina), which formed dense swirling carpet. Its vertical range was from the surface to $3{\sim}5$ meters in depth, and more deeply extended in turbid waters including Sorido, Yokchido, Pijindo, Manjedo. The mid subtidal zone ranging from 5 to 25 meters in depth was characterized by a large brown algal forest (Ecklenia, Sargassum). But it was generally unrecognizable in that turbid waters, in which the vertical limit of vegetation was at most $10{\sim}15$ meters in depth. The low subtidal zone was characterized by a general lack of algal species and was not easily distinguished from the mid or sometimes from the upper zone. There was a distinct difference in abundance of vegetation between turbid waters and clear waters including Munsom, Kwantaldo, Yosodo, Hongdo, Ch'ujado. In turbid waters the vegetation was much poorer because the tubidity caused from the muddy sediment inhibited an algae to settle down and to grow up. On the basis of the phytogeographical methods using UPGMA, the 10 studied islands were classified into two groups, Munsom and the others. This floristic discontinuity between the two groups might be caused from the difference of water temperature.

• Korean Journal of Plant Resources
• /
• v.20 no.2
• /
• pp.201-211
• /
• 2007

The vascular plants at the nature every second year in Wolchulsan National Park was listed 325 taxa: 86 families, 205 genera, 283 species, 1 subspecies, 36 varieties and 5 forms. Based on the list of the rare plants by the Forest Research Institute, 3 taxa were recorded in the studied areas; Lilium callosum (Preservation priority order; No. 191), Viola albida (No. 202), Wikstroemia trichotoma (No. 120) and based on the list of Korean endemic plants, 8 taxa were recorded; Carex okamotoi, Lilium amabile, Carpinus coreana, Clematis trichotoma, Stewartia koreana, Ajuga spectabilis, Weigela subsessilis, Adenophora triphylla var. hirsute. Specific plants by floral region were total 44 taxa; Prunus davidiana, Wistaria floribunda in class IV, 9 taxa (Neolitsea aciculata, Vaccinium bracteatum, Utricularia racemosa, etc.) in class III, 5 taxa (Bupleurum longiradiatum, Ostericum melanotilingia, Cirsium schantarense) in class II, 28 taxa (Polygonatum falcatum, Eurya japonica, Ajuga spectabilis, etc.) in class I. The naturalized plants in this site were 4 families, 6 genera, 9 taxa and naturalization rate was 2.8% of all 325 taxa vascular plants.

• Journal of the korean academy of Pediatric Dentistry
• /
• v.43 no.3
• /
• pp.327-333
• /
• 2016

Tourette's syndrome is a chronic neuropsychiatric disorder characterized by the presence of vocal and multiple motor tics. Tics are defined as brief, intermittent, repetitive, unpredictable, purposeless, and stereotyped movements or sounds. Some patients experience physical pain from intense and complex tics. In addition, motor tics can result in self-injury which is a common feature of Tourette's syndrome. A 9-year-old boy was referred by the department of neuropsychiatry because of a severe tongue laceration. His parents reported that he had been biting his tongue irregularly for 2 months before referral and suffered from an intense burning sensation. The repeated biting resulted in ulcers on the tongue, which quickly worsened and led to progressive difficulty chewing and swallowing food. We offered to give him a two-piece removable appliance to limit tongue biting; it was made of soft silicone and fitted to both the maxillary and mandibular arches. As we emphasized that the device could help alleviate his pain, he agreed to accept it and adapted well. Just 3 weeks later, his tongue lesions had healed significantly.

• Korean Journal of Plant Resources
• /
• v.20 no.4
• /
• pp.353-361
• /
• 2007

This study was conducted to investigate the distribution of naturalized plants in Jeollanamdo which is located in the south-western areas of Korea from May 10, 2005 to December 20, 2006, and to suggeste the management methods of naturalized plants. The naturalized plants constisted of 29 families, 84 genera, 122 species, 8 varieties, totaling 130 taxa and ratio of naturalization was 45 percents at the study sites. According to the number of species investigated from each sites, 103 taxa were from Yeongam, 98 taxa were from Mokpo, 97 taxa were from Shinan, while it was higher in the other sites. A total of 30 naturalized plant communities were classified. In those eight sites, the common appearance communities were Robinia pseudo-acacia, Amorpha fruticosa, Bromus catharticus, Eragrostis curvula, Festuca arundinacea, Festuca myuros, Lolium multiflorum, Lolium perenne, Paspalum distichum var. indutum, Rumex obtusifolius, Oenothera biennis, Lepidium apetalum, Trifolium repens, Ambrosia artemisiofolia var. elatior, Comos bipinnatus, Rudbeckia bicolor, Erigeron annuus, Erigeron annuus-Erigeron canadensis, Coreopsis lanceolata, Cosmos sulphureus community. The distributional characteristics of naturalized plants were divided on the basis of six areas associated with ecological characteristics of a habitat

• Weed & Turfgrass Science
• /
• v.5 no.1
• /
• pp.5-9
• /
• 2016

This survey was conducted to identify weed occurrence and to investigate weed management methods in the apple orchard fields in Chungnam province including Daejeon and Sejong from April to June and from September to October, 2015. In this survey, 64 weed species in 27 families including 39 annuals and 25 perennials were identified. Based on the importance values, the most dominant weed species in the first survey was Poa annua (6.51), followed by Veronica didyma (5.36), Plantago asiatica (5.36). In the second survey, Stellaria media (5.73), Digitaria ciliaris (5.36), and Rumex crispus (5.18) were dominant. When the 64 weed species were classified by family, the most abundant weed species belong to Compositae (12 species), followed by Poaceae (7 species), Polygonaceae (6 species), and Cruciferae (6 species). These 31 weed species in the most occurred four families accounted for 48% of total weed occurrence. Based on the questionnaire survey in which weed management methods in the apple orchard were asked, applied mowing + herbicide, mowing + tillage, and mowing + sod-culture was methods commonly conducted in apple orchard fields.

• Journal of Intelligence and Information Systems
• /
• v.29 no.1
• /
• pp.233-247
• /
• 2023

Recently, research on detecting objects in hidden spaces beyond the direct line-of-sight of observers has received attention. Most studies use optical equipment that utilizes the directional of light, but sound that has both diffraction and directional is also suitable for non-line-of-sight(NLOS) research. In this paper, we propose a novel method of detecting objects in non-line-of-sight (NLOS) areas using acoustic signals in the audible frequency range. We developed a deep learning model that extracts information from the NLOS area by inputting only acoustic signals and predicts the properties and location of hidden objects. Additionally, for the training and evaluation of the deep learning model, we collected data by varying the signal transmission and reception location for a total of 11 objects. We show that the deep learning model demonstrates outstanding performance in detecting objects in the NLOS area using acoustic signals. We observed that the performance decreases as the distance between the signal collection location and the reflecting wall, and the performance improves through the combination of signals collected from multiple locations. Finally, we propose the optimal conditions for detecting objects in the NLOS area using acoustic signals.