• Journal of Conservation Science
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• v.26 no.1
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• pp.77-83
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• 2010

The damage from the underground termite cannot be discovered with peculiar appearance of building but hollow phenomenon will occur. But there is no case in Korea as a non-destructive measurement of termite activation. Therefore, this research constructs non-destructive diagnostic techniques for wooden cultural properties using microwave detector (Termatrac, Australia). Result of maximun distance were measured 16cm (Pine tree, sensitivity 5, 6), 17cm (Zelkova and Douglas fir, sensitivity 5, 6). These results are expected that can be applied in the field. Result of field test using microwave detector, 33.8% of the wooden cultural properties were damaged by termites, and until now 7.8% (18 buildings) are being damaged in nationwide (total 231 buildings). Based on the above results, microwave detector will be able to be utilized effectively for detecting termite, preventing intrusion in wooden structure, and making full use of monitoring system periodically. In addition, it could be of great worth in preventing insect and microorganism in wooden structure.

• Computers and Concrete
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• v.15 no.5
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• pp.771-794
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• 2015

This paper proposes an innovative method for selection of measurement sets in static parameter identification of concrete or steel bridges. This method is proved as a systematic tool to address the first steps of Structural System Identification procedures by observability techniques: the selection of adequate measurement sets. The observability trees show graphically how the unknown estimates are successively calculated throughout the recursive process of the observability analysis. The observability trees can be proved as an intuitive and powerful tool for measurement selection in beam bridges that can also be applied in complex structures, such as cable-stayed bridges. Nevertheless, in these structures, the strong link among structural parameters advises to assume a set of simplifications to increase the tree intuitiveness. In addition, a set of guidelines are provided to facilitate the representation of the observability trees in this kind of structures. These guidelines are applied in bridges of growing complexity to explain how the characteristics of the geometry of the structure (e.g. deck inclination, type of pylon-deck connection, or the existence of stay cables) affect the observability trees. The importance of the observability trees is justified by a statistical analysis of measurement sets randomly selected. This study shows that, in the analyzed structure, the probability of selecting an adequate measurement set with a minimum number of measurements at random is practically negligible. Furthermore, even bigger measurement sets might not provide adequate SSI of the unknown parameters. Finally, to show the potential of the observability trees, a large-scale concrete cable-stayed bridge is also analyzed. The comparison with the number of measurements required in the literature shows again the advantages of using the proposed method.

• CELLMED
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• v.4 no.2
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• pp.11.1-11.6
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• 2014

Cinnamomum zeylanicum (C. zeylanicum) is a tropical evergreen tree of Lauraceae family. It is one of the oldest culinary spices known and used traditionally in many cultures for centuries. In addition to its culinary uses, cinnamon also possesses as a folk remedy of many health disease condition including analgesic, antiseptic, antispasmodic, aphrodisiac, astringent, carminative, haemostatic, insecticidal, and parasiticide and memory enhancing property. This study was aimed to assess the acetylcholinesterase and butyrylcholinesterase inhibitory activity of standardized methanol extract of the C. zeylanicum. Gas chromatography - mass spectrometry (GC-MS) and high performance liquid chromatography (HPLC) analysis were done to identify the presence of eugenol as chemical component and support the neuroprotective activity in the extract. Anticholinesterase inhibitory activity of crude methanol extract of C. zeylanicum leaves and cinnamon oil were evaluated by 96-well microtiter plate assay and thin layer chromatography bioassay detection methods. This study revealed that cinnamon oil ($IC_{50}:45.88{\pm}1.94{\mu}g/ml$) has better anticholinesterase activity than methanol extract ($IC_{50}:77.78{\pm}0.03{\mu}g/ml$). In HPLC analysis, retention time of eugenol in cinnamon oil was found to be 15.81 min which was comparable with the retention time (15.99 min) of the reference standard, eugenol. Seven chemical compounds were identified by GC-MS analysis, in which eugenol as an important phytoconstituents. Thus the phytochemicals from C. zeylanicum methanol leaves extract could be developed as potential source of anticholinesterase activity, with particular benefit in the symptomatic treatment of Alzheimer's disease.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.6
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• pp.1409-1415
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• 2010

In this paper we proposed the watermarking technique using the markspace which is selected by tree-structure between the subbands in the wavelet domain and feature information in the spatial domain. The watermarking candidate region in the wavelet domain is obtained by the markspace selection algorithm divides the highest frequency subband to several segments and calculates theirs energy and the averages value of the total energy of the subband. Also the markspace of the spatial domain is obtained by the boundary information of a image. The final markspace is selected by the markspaces of the wavelet and spatial domain. The watermark is embedded into the selected markspace using the random addresses by LFSR. Finally the watermarking image is generated using the inverse wavelet transform. The proposed watermarking algorithm shows the robustness against the attacks such as JPEG, blurring, sharpening, and gaussian noise.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.1 s.307
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• pp.67-74
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• 2006

Contort-aware computing technology is one of the key technology of ubiquitous computing in the mobile device environment. Context recognition computing enables computer applications that automatically respond to user's everyday activity to be realized. In this paper, We use accelerometer could sense activity states of the object and apply to mobile devices. This method for estimating human motion states utilizes various statistics of accelerometer data, such as mean, standard variation, and skewness, as features for classification, and is expected to be more effective than other existing methods that rely on only a few simple statistics. Classification algorithm uses simple decision tree instead of existing neural network by considering mobile devices with limited resources. A series of experiments for testing the effectiveness of the our context detection system for mobile applications and ubiquitous computing has been performed, and its result is presented.

• Research in Plant Disease
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• v.13 no.3
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• pp.204-206
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• 2007

In 2006 to 2007, the potential inoculum source of the anthracnose of sweet persimmon caused by Colletotrichum gloeosporioides was surveyed. The infected twigs, buds, dead twigs, petiole, leaves, dropped fruits were collected and tested for their possibility as overwintering inoculum. The detection rates of the pathogen from various parts of sweet persimmon tree were varied. When the collected samples were examined in April. Over than 93.3% of infected twig samples were harbored mycelia of C. gloeosporioides, and 46.7% of infected buds, 36.7% of dead twigs, 23.3% of petioles, and 16.7% of leaves were beared pathogenic fungus. No pathogenic fungus were detecded from healthy twigs and buds. Infected twigs and bud was important overwintering sites and formed conidia actively in next spring. The infected twigs, leaves, petioles, and fruits in growing season produced great number of conidia and caused active dissemination of the anthracnose disease in sweet persimmon. In growing season, all of the infected parts, such as twigs, leaves, petioles, and fruits produced pathogenic fungus.

• Korean Journal of Food Science and Technology
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• v.25 no.4
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• pp.404-406
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• 1993

In order to detect the gelation of ultrahigh temperature (UHT) treated market milks during storage at 20+1C, the free amino groups were quantified with 2,4,6-trinitrobenzene sulfonic acid, and the measurement of pH values and the alcohol test were monthly carried out. The average tree amino groups were $0.94{\sim}1.11{\mu}M$ at 1 month, $1.95{\sim}2.17{\mu}M\;at\;5{\sim}6$ month and $4.95{\sim}6.36{\mu}M$ at 12 month. The pH values at the same time as above were $6.72,\;6.49{\sim}6.55\;and\;6.14{\sim}6.16$, respectively. The alcohol test showed positive results at $5{\sim}6$ month, which could indicate the casein instability and beginning of gelation. These results suggest that the gelation of UHT market milks could he predicted through checking some chemical parameters weekly and be helpful for quality control.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.9
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• pp.4357-4361
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• 2016

Background: Whether there is any relationship between human papilloma virus (HPV) and breast carcinoma is not clear. Some previous studies have indicated a possible role in oncogenesis in the breast. In this study, we therefore analyzed the presence of HPV infection in breast tissues of Iranian women from Yazd city. Materials and Methods: In a cross-sectional study, formalin-fixed paraffin-embedded tissues from 87 patients with breast cancer and 84 cases with breast fibrocystic lesions (control group) were selected from a tissue archive. Grade of tumors and fibrocystic tissues were determined by two pathologists. The nested-PCR method was performed for detection of HPVs in samples. HPV genotypes were determined by sequencing and the phylogenetic tree depicted by MEGA software. Results: Of the 87 women with breast cancer, 22.9% (20 isolates) had positive results for HPV DNA. In the control group no HPV was detected. The HPV genotypes in positive samples were HPV-16 (35%) HPV-18 (15%), HPV-6 (45%) and HPV-11 (5%). The data did not approved a significant correlation between tissue pathology of breast cancer and the HPV genotype frequency. Conclusions: The data did not provide any evidence for a role of high risk HPV types in oncogenesis in the breast.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.10 no.5
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• pp.20-30
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• 2007

Environmental Conservation Value Assessment Map (ECVAM) is the class map to divide the national land into conservation areas and development areas based on legal and ecological assessment criteria. It contributes to enhancements of the efficiency and the scientificity when framing a policy in various fields including the environment. However, it is impossible to understand the multiphase vegetation structure as data on judging the national forest class in ECVAM are restricted to areal information of Ecological Nature Status, Degree of Green Naturality and Forest Map. This point drops the reliability of ECVAM. Therefore we constructed vegetation information using LiDAR (Light Detection And Raging) technology. We generated Biomass Class Maps as final results of this study, to introduce the new forest assessment criterion in ECVAM that alternates or makes up for existing forest assessment criteria. And then, we compared these with Forest Map and Landsat TM NDVI image. As a result, biomass classes are generally higher than stand age classes and DBH classes of Vegetation Map, and lower than NDVI of Landsat TM image because of the difference of time on data construction. However distributions between these classes are mostly similar. Therefore we estimates that it is possible to apply the biomass item to the new forest assessment criterion of ECVAM. The introduction of the biomass in ECVAM makes it useful to detect the vegetation succession, to adjust the class of the changed zone since the production of Vegetation Map and to rectify the class error of Vegetation Map because variations on tree heights, forest area, gaps between trees, vegetation vitality and so on are acquired as interim findings in process of computing biomass.

• Korean Journal of Poultry Science
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• v.46 no.4
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• pp.263-269
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• 2019

Infectious bronchitis virus (IBV) is an acute respiratory disease, causing economic losses in poultry production. IBV commonly manifests respiratory disease symptoms and poor egg quality in poultry, affecting overall performance of both broilers and layers. IBV infection further predisposes poultry to secondary opportunistic bacterial infections. IBV undergoes rapid genetic evolution resulting in various new strains. There is no cross protection among IBV serotypes which makes full protection against wild-type IBV virtually impossible. In this study, recently isolated IBVs (K24/18, K29/18, K183/18) from Korean broiler farms were genetically analyzed based on S1 gene. According to the results, IBV isolates showed highest homology with QX-IBV. However, phylogenetic tree analysis revealed that isolates were divided into distinct sub-clusters within QX-IBV. To determine pathogenicity of IBV, day-old chicks were challenged with IBV through ocular route. After challenging the chicks, we executed microscopic examination, virus detection in their organs, and observation of clinical signs and mortality. We found that the K24/18, K29/18, K183/18 challenge groups showed 28%, 57%, and 42% mortality, respectively, with high microscopic trachea lesion scores, indicating that these QX-IBV-like strains are pathogenic to chicks and can therefore be a threat to poultry production.