鳥形木製品과 農耕儀禮

趙現鍾 전남사학회 2002 역사학연구 Vol.19 No.-

Among the various wooden remains excavated in Sinchang-dong wetland site(光州新昌洞低濕地遺蹟) of Gwangju city, there are two bird-shaped woodworks. These remains, literally having a shape of a bird made by cutting the wood, already show up in the 「Bronze Ritual Artifact with Agricultural Design(農耕文靑銅器)」 said to have been excavated in Daejeon(大田). The bronze ritual artifact with agricultural design, which is the remains of the 4th Century B.C., is a cast ritual artifact having intaglioed drawings on the front and the rear, where there appear a bird sitting on a twig, a farmer making furrows with a hand plow, a person with a hoe, a person storing crops in a container, etc. Its entire patterns are related to agriculture, showing the landscape of the agricultural community or the status of agriculture in the bronze age of Korea, Particularly the shape of a bird on a twig is almost the only material suggesting the origin of 'Sotdae'(a pole signifying prayer for a good harvest). The bird-shaped woodworks found in the relics are the only concrete example of the materials related to the birds put on the pole, which appears in the bronze ritual artifact with agricultural design. Such bird-shaped woodworks are largely excavated in the ditches enclosing the settlement or natural stream of the collective residence villages in the beginning and end of the Yayoi Period of Japan, while there are known only two cases; one in Mongchon-toseung(夢村土城) and the other in Kungnam-ji(宮南池). Chronically, the remains found in Sinchang-dong wetland site comes first. There have been found approximately, 30 cases of bird-shaped woodworks in Japan since the first one was reported to have been found in Ikegami site(池上遺蹟) of Osaka Prefecture. As for their function, they are thought to be 'a bird calling gods', or 'a bird carrying the spirit of crops', which is posted on a site for sacrificial rite, and it is interpreted as "the remains related to agriculture and bird spirit faith". As for their origin, it is considered that they are related to the bronze ritual artifact with agricultural design and the agricultural rites of Korea. The shapes of found bird-shaped woodworks are divided into two ; one can be posted as structure like a bird on the pole, and the other can't become a structure merely in a shape of bird. This study considers the latter is used only in the rites and then discarded or placed as one of god's articles. However, the bird-shaped woodworks are not always carrying out the function as used on the pole, and the writer has tried to grasp their location among the variety of ritual behaviors.

YOLOv4를 이용한 산양 탐지 시스템

조현종,이한성,오유정,박영철,임상진 대한전기학회 2022 전기학회논문지 Vol.71 No.9

Global industrialization has made human life comfortable, while causing environmental pollution. Environmental pollution has destroyed wildlife habitats, and as a result, several animals are endangered. In particular, long-tailed goral (Naemorhaedus caudatus) is an international endangered species that must be restored. A huge amount of photographic data has been accumulated through camera trap research for the restoration of endangered species. Until now, analysis of such photo data has only relied on experts, so it took a lot of time to analyze camera trap data. The goral detection system developed in this study, based on goral camera trap data, can enable goral data analysis at a faster than conventional methods. YOLOv4 was used as an object detection algorithm for goral detection. YOLOv4 is a network based on CSPDarknet53 and has improved performance through Bos (Bag of Specials) and BoF (Bag of Freebies). As a result, goral detection was possible with high accuracy and high speed. The performance of the goral detection system can be decreased by luminance at night. In this work, we propose a light invariant goral detection system by appropriately distributing day and night datasets for training YOLOv4. Test results on the night dataset showed an mAP of 0.907 and test results on the day dataset showed an mAP of 0.927. As a result, the goral detection system showed robust detection performance at night.

데이터 선별을 통한 EfficientNetV2-L 기반 조기 위암 컴퓨터 보조 진단 시스템 연구

조현종,이한성 대한전기학회 2022 전기학회논문지 Vol.71 No.9

Gastric cancer is a common cancer worldwide, especially in Korea. Early diagnosis is very important to increase the full recovery rate. However, early gastric cancer has no special symptoms and is a disease that even experts find difficult to diagnose in gastroscopy. Therefore, in this paper proposed a computer-aided diagnosis(CADx) for early gastric cancer diagnosis using EfficientNetV2-L. Due to the nature of medical data, it is difficult to collect a large amount of data. The data used for training was augmented using Cifar10 policy of the Google's AutoAugment. Additionally, the augmented image was used as an input to the model trained with the original dataset and filtered according to the classification threshold. EfficientNetV2 is a classification network designed Training-NAS that can learn the feature of lesions with a small number of parameters. As a result, EfficientNetV2 set to the threshold value of 0.9 achieved the performance of accuracy 0.943 for early gastric cancer and abnormal image classification. The AUC value also increases from 0.972 to 0.991, showing that the data filtering method of this study was effective for improvement of classification performance.

Ni-NHC를 이용한 Arenesulfonates 와 Alkyl Grignard reagents 간의 Combinatorial Synthesis

조현종,박광용,손호준,김창근 한국공업화학회 2012 한국공업화학회 연구논문 초록집 Vol.2012 No.1

경남 서부지역 소나무임분의 Biomass 추정식

조현종,김춘식,정재엽,하영철,서정현,손영모,이경학 한국임학회 2008 한국임학회 정기학술발표논문집 Vol.2008 No.-

FIrpic 유도체의 합성과 전계발광특성 분석

조현종,손호준,윤민주,최혜옥,이태원,박광용 한국공업화학회 2012 한국공업화학회 연구논문 초록집 Vol.2012 No.-

밭토양에 처리된 규산질 비료의 유효화와 토양반응 교정효과

조현종,최희열,이용우,이윤정,정종배 한국환경농학회 2004 한국환경농학회지 Vol.23 No.2

이화학적 특성이 다른 4가지의 밭토양에 대한 규산질 비료를 처리하여 토양의 유효규산 함량과 pH 변화에 미치는 효과를 조사하였다. 토양의 이화학적 특성과 기존 유효규산 함량에 상관없이 토양 유효규산 함량은 규산질 비료 시용량에 비례하여 증가 하였다. 규산질 비료의 유효화 정도는 토양마다 차이가 있었으며 최저 9.1%에서 최고 19.2% 정도의 비율을 나타냈다. 규산질 비료 100 kg/10a 수준의 처리는 용탈 등으로 제거되지 않는 한 10 cm 깊이 표토에 평균적으로 100 mg/kg 정도 의 유효규산을 공급할 수 있는 것으로 나타났다. 퇴비 혼합처리는 토양 유효규산 함량 증가에 큰 영향을 미치지 못했으며, 석회 처리는 유효규산 함량을 다소 증가시켰다. 토양 pH 변화는 모든 토양에서 규산질 비료 시비량에 비례하여 증가하였으며, 규산질 비교 100 kg/10a 처리로 토양 pH를 0.1~0.2 단위 증가시킬 수 있는 것으로 나타났다. 따라서 산성 토양의 경우에는 규산질 비료의 시용과는 별도로 pH 교정을 위해 석회비료를 시용해야 할 것이다. Although silicon (Si) has been known to be an essential element for rice growth, the optimum soil level of Si for upland crops remains unestablished. This study was conducted to estimate the availability of Si fertilizer in upland soils, and also effect of the Si fertilizer on soil pH was examined. Different application rates of Si fertilizer were tested using four soils of different available Si levels and pHs in a series of laboratory incubation study. The treatments included Si fertilizer levels of 100, 200, and 300 kg/10a. Also to examine the effects of compost and lime on the availability of Si fertilizer in upland soil, treatment of silicate fertilizer 200 kg/10a + compost 1,000 kg/10a and lime alone treatment were included. Changes of Si availability in the soils during the incubation period were measured by 1 N NaOAc extraction procedure. Availability of Si fertilizer was different among the tested soils, and about 9.1~19.2% of the applied Si fertilizer was extracted after 60 days laboratory incubation. Application rate could not influence the availability of Si fertilizer. Application of compost with Si fertilizer could not increase Si availability in upland soils, but lime treatment could increase Si availability. Soil pH increased by application of Si fertilizer, but the effect of Si fertilizer on soil pH was minimal. When Si fertilizer is applied on the purpose of Si nutrition in acid upland soils, lime treatment should be coupled with the Si fertilizer for remediation of soil acidity.

Ni/NHC-Catalyzed Cross-Coupling Reaction of Heteroarylbenzenesulfonates with Alkyl Grignard Reagents

조현종,김철배,이성경,박광용 한국공업화학회 2007 한국공업화학회 연구논문 초록집 Vol.2007 No.1

韓國 低濕地考古學의 全望

趙現鐘 순천대학교 남도문화연구소 2001 南道文化硏究 Vol.7 No.-

이미지 증대 기법을 이용한 노이즈에 강인한 사과 질병 분류

조현종,김장연,김태경 대한전기학회 2022 전기학회논문지 Vol.71 No.9

When the apple disease occurs, accurate and rapid control must be carried out. If appropriate measures are not taken, the spread of the disease and secondary damage such as soil contamination caused by pesticides may occur. In this paper, the apple disease classification system that can classify the type of disease as well as normal from image is proposed. The apple disease classes consists of Marssonina blotch, Fire Blight, Valsa cacker, Alernaria blotch, and Bitter rot. Xception network was used to extract and learn features from image. Google's AutoAugment CIFAR-10 policy is used to increase apple disease data to increase network’s classification performance. Then, in order to increase the reliability of data, the augmented data was selected by model trained only with original data. Gaussian, Salt-and-pepper, Speckle and Poisson noise were added to the test data to show good performance for noisy input data. We compared the performance of the model trained with original data and augmented data selected by threshold value 0.9. As a result, the proposed study showed a performance improvement of up to 6% in F1-Score.