• Journal of Life Science
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• v.25 no.2
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• pp.158-163
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• 2015

Rice embryo is more abundant than endosperms in nutrients such as proteins, lipids, and vitamin B1. In this study, we constructed p53 plasmid that could be expressed in a plant system, and investigated optimal germination conditions in a variety of media. For construction of p53 plasmid, we performed p53 amplification from pCDNA-p53, subcloned to TA cloning vector, and then reconstructed into pGEM-CaMV plant expression vector. On the other hand, we prepared a variety of imbibition buffers and complete media for efficient germination of the rice embryo. Imbibition buffers prepared with different concentrations of salt or detergent showed no significant effect on germination efficiency. We prepared further culture media, such as solid agar, liquid media, and paper towel to establish the optimal conditions. Rice embryo showed germination rates of more than 70% in the solid medium, more than 60% in the paper towel medium, but less than 25% in liquid media, although germination rate did not differ with varying concentrations of salt and sucrose in culture media. Under the optimal germination conditions, we introduced the p53 plasmid using imbibition method, and finally detected human p53 gene expression in the germinated rice embryo. This method might present a novel, practical approach for evaluating efficient gene expression utilizing imbibition method in rice embryo.

• Journal of Conservation Science
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• v.28 no.1
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• pp.63-73
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• 2012

In this study, the 89 components of the gases emitted from grave goods at Sim Seol(1570-1630) tomb identified and quantitatively analyzed using a thermal desorption system integrated with gas chromatography-mass spectrometer. The concentration of major components show the levels of alpha-pinene 4,113ppbv, beta-pinene 2,510ppbv and limonene 2,424ppbv, that of the others orderly show p-menth-2-ene, acetone, isolongifolene and isoborneol. The functional groups of high concentration level cover 65% of terpenes and 25.8% of alcohols. The expected odor intensity orderly show 35.1% of terpenes, 33.4% of aldehydes and 8.8% of alcohols. Terpenes have generally effect of a perfume, antifungal and antimicrobial activity, and could come out of the pine(Pinus densiflora) coffin, aldehydes and alcohols could be come out of both the Sim Seol mirra and Pinus densiflora for a long time. The analyses of gases emitted from a excavated properties or a tomb are assessed that it can pc001 provide a scientific basis on a counterplan against harmful gases, a method of conservation treatments and a evaluation of effectiveness in conservation of cultural properties in a tomb.

• Journal of the Korea institute for structural maintenance and inspection
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• v.17 no.2
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• pp.1-9
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• 2013

In recent years, numerous mega-size and complex civil infrastructures have been constructed worldwide. For the more precise construction and maintenance process management of these civil infrastructures, the application of a variety of smart sensor-based structural health monitoring (SHM) systems is required. The efficient management of both sensors and collected databases is also very important. Recently, several kinds of database access technologies using Quick Response (QR) code and Augmented Reality (AR) applications have been developed. These technologies provide software tools incorporated with mobile devices, such as smart phone, tablet PC and smart pad systems, so that databases can be accessed very quickly and easily. In this paper, an AR-based structural health monitoring technique is suggested for sensor management and the efficient access of databases collected from sensor networks that are distributed at target structures. The global positioning system (GPS) in mobile devices simultaneously recognizes the user location and sensor location, and calculates the distance between the two locations. In addition, the processed health monitoring results are sent from a main server to the user's mobile device, via the RSS (really simple syndication) feed format. It can be confirmed that the AR-based structural health monitoring technique is very useful for the real-time construction process management of numerous mega-size and complex civil infrastructures.

• Research in Community and Public Health Nursing
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• v.13 no.3
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• pp.556-565
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• 2002

Due to the fact that nurses may deal with diverse populations in the work place, it is very important for then to maintain appropriate interpersonal relationships with clients. Nurses should maintain diverse types of relationships appropriately with patients with special needs and their families during crisis, other nursing colleagues and staff on the same team, clients in the school or work place as well as the community. In particular, a hospital is a society with a system and hierarchy, and the importance of interpersonal relationships is much more emphasized. In interpersonal relationships, it is very important for a person to communicate with others in an accurate manner, and when the communication is not achieved appropriately, the person may have troubles and experience distress and conflicts because of the inaccurate communication of thoughts. According to the findings of previous studies, nurses actually experience much distress in the work place because of the miscommunication that they have with others. The purpose of this study was to observe a correlation between Myers-Briggs Type Indicator and assertiveness behavior, and to exam the effects of assertiveness training on the assertiveness behavior and conflict management mode. The subjects of this study included 20 persons in the experimental group and 20 persons the in control group. Myers-Briggs Type Indicator was applied before the study. The assertiveness training group received six, 120 minutes sessions over a 3 week period. Pre-test on assertiveness behavior, Communication Conflict Inventory-General, Role Conflict Inventory- General, Conflict Management Mode was achieved for all the subjects prior to the training. Post-test was administered to all the subjects one week following the last session. The data were analyzed using SPSS PC program to obtain findings on mean. standard distribution, t-test, and Pearson correlation. The results are as follows: (1) Myers-Briggs Type Indicator Introvert/Extrovert was correlated to assertive behavior and avoid- response type conflict management mode. (2) The assertiveness training was correlated to assertiveness behavior, communication conflict degree, and avoid- response type conflict management mode. (3) The post-test scores between the training group and the control group were significantly different in assertiveness behavior and avoid-response type conflict management mode. It is suggested that more studies need to be done to differentiate the effects of Myers-Briggs Type Indicator and assertiveness training on assertiveness behavior and avoid-response type conflict management mode.

• Imaging Science in Dentistry
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• v.35 no.2
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• pp.91-96
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• 2005

Purpose : To investigate the change of bone healing process after endodontic treatment of the tooth with an apical lesion by fractal analysis. Materials and Methods Radiographic images of 35 teeth from 33 patients taken on first diagnosis, 6 months, and 1 year after endodontic treatment were selected. Radiographic images were taken by JUPITER Computerized Dental X-ray $System^{(R)}$. Fractal dimensions were calculated three times at each area by Scion Image $PC^{(R)}$ program. Rectangular region of interest $(30\times30)$ were selected at apical lesion and normal apex of each image. Results : The fractal dimension at apical lesion of first diagnosis $(L_0)$ is $0.940{\pm}0.361$ and that of normal area $(N_0)$ is $1.186{\pm}0.727(p<0.05)$. Fractal dimension at apical lesion of 6 months after endodontic treatment $(L_1)$ is $1.076{\pm}0.069$ and that of normal area $ (N_1)$ is $1.192{\pm}0.055(p<0.05)$. Fractal dimension at apical lesion of 1 year after endodontic treatment $(L_2)$ is $1.163{\pm}0.074$ and that of normal area $(N_2)$ is $1.225{\pm}0.079(p<0.05)$. After endodontic treatment, the fractal dimensions at each apical lesions depending on time showed statistically significant difference. And there are statistically significant different between normal area and apical lesion on first diagnosis, 6 months after, 1 year after. But the differences were grow smaller as time flows. Conclusion : The evaluation of the prognosis after the endodontic treatment of the apical lesion was estimated by bone regeneration in apical region. Fractal analysis was attempted to overcome the limit of subjective reading, and as a result the change of the bone during the healing process was able to be detected objectively and quantitatively.

• Journal of the Korea Society of Computer and Information
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• v.16 no.7
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• pp.149-156
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• 2011

This paper proposes the effective edge selection algorithm for the rapid processing time and low memory usage of efficient graph-based image segmentation on mobile device. The graph-based image segmentation algorithm is to extract objects from a single image. The objects are consisting of graph edges, which are created by information of each image's pixel. The edge of graph is created by the difference of color intensity between the pixel and neighborhood pixels. The object regions are found by connecting the edges, based on color intensity and threshold value. Therefore, the number of edges decides on the processing time and amount of memory usage of graph-based image segmentation. Comparing to personal computer, the mobile device has many limitations such as processor speed and amount of memory. Additionally, the response time of application is an issue of mobile device programming. The image processing on mobile device should offer the reasonable response time, so that, the image segmentation processing on mobile should provide with the rapid processing time and low memory usage. In this paper, we demonstrate the performance of the effective edge selection algorithm, which effectively controls the edges of graph for the rapid processing time and low memory usage of graph-based image segmentation on mobile device.

• Journal of Acupuncture Research
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• v.27 no.5
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• pp.125-134
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• 2010

Objectives : There has been a need for developing and establishing operational curriculum for the education of acupuncture, but defining the level and step of the acupuncture education in clinical perspectives was not thoroughly recognized so far. Methods : We analysed the usage of acupuncture points in the official textbook to recognize the most frequently used acupoints in clinical medicine. It was found that $ST_{36}$ $LI_4$ $SP_6$ $HT_7$ $LR_3$ $CV_{12}$ $BL_{23}$ $CV_6$ $BL_{20}$ $CV_4$ $LI_{11}$ $PC_6$ $KI_3$ $GB_{20}$ $GV_{20}$ $GB_{34}$ $BL_{18}$ $GV_{14}$ $BL_{17}$ $BL_{40}$ are the most frequently used 20 acupuncture points and GB(足少陽擔經), CV(任脈), ST(足陽明胃經) are the most frequently used meridians. Results : The $ST_{36}$, $GB_{34}$, $LI_{11}$ and GB(足太陽膀胱經) meridian are most frequently used for muskuloskeletal disease, $ST_{36}$, $LI_4$, $LI_{11}$ and GB(足太陽膀胱經) meridian are most frequently used for neuromuskular disease, and $ST_{36}$, $CV_{12}$, $BL_{20}$ and CV(任脈) meridian are most frequently used for the digestive system disorders. Conclusions : This study was the first systematic approach to get essential acupuncture points for the education of clinical perspectives of TKM especially for the acupuncture and moxibustion. We found that the $ST_{36}$, $GB_{34}$, $LI_{11}$ and GB(足太陽膀胱經) are the most frequently used acupuncture point and meridian. This study will be used for the development of TKM clinical curriculum.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.49 no.4
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• pp.17-22
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• 2012

Convolution filtering methods have been widely applied to various digital signal processing fields for image blurring, sharpening, edge detection, and noise reduction, etc. According to their application purpose, the filter mask size or shape and the mask value are selected in advance, and the designed filter is applied to input image for the convolution processing. In this paper, we proposed an image processing acceleration method for the convolution processing by using two-dimensional Look-up table (LUT) and overlap-region buffering technique. First, based on the fixed convolution mask value, the multiplication operation between 8 or 10 bit pixel values of the input image and the filter mask values is performed a priori, and the results memorized in LUT are referred during the convolution process. Second, based on symmetric structural characteristics of the convolution filters, inherent duplicated operation region is analysed, and the saved operation results in one step before in the predefined memory buffer is recalled and reused in current operation step. Through this buffering, unnecessary repeated filter operation on the same regions is minimized in sequential manner. As the proposed algorithms minimize the computational amount needed for the convolution operation, they work well under the operation environments utilizing embedded systems with limited computational resources or the environments of utilizing general personnel computers. A series of experiments under various situations verifies the effectiveness and usefulness of the proposed methods.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.3 no.2
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• pp.153-169
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• 1996

This study was designed to identify, describe and classify orientations of cancer patient's family members to death and to identify factors related to their attitudes on death. Death to the male is understood as a comprehensive system and believed to be highly subjective experience. Therefore attitude on death is affected by personalities. As an attempt to measure the subjective meaning toward death, the unstructured Q-methodology was used. Korean Death Orientation Questonaire prepared by Kim was used. Item-reliability and Sorting-reliability were tested. Forty five cancer patients' family members hospitalized in one university medical center in Seoul were sampled. Sorting the 65 Q-itmes according to the level of personal agreement ; A forced normal distribution into the 11 levels, were carried out by the 45 P-samples. The demographic data and information related to death orientation of the P-sample was collected through face to face in depth interviews. Data was gathered from August 30 till September 22, 1995. The Z-scores of the Q-items were computed and principal component factor analysis was carried out by PC-QUANL Program. Three unique types of the death orientation were identified and labeled. Type I consists of twenty P-samples. Life and death was accepted as people's destiny, They firmly believed the existence of life after life. They kept aloof from death and their concern was facing the and of the life with dignity, They were in favor of organ donation. Type II consists of Nine P-Samples. They considered that death was the end of everything and did not believed the life after life. They were very concerned about the present life. Type III consists of Sixteen P-samples. They regarded the death as a natural phenomena. And they considered that the man is just a traveller and is bound to head for the next life which is believed to be free of agony, pain or darkness. They neither feared death nor its process. Their conserns were on the activities to prepare themselves for the eternal-life after death. Thus, it was concluded that there were three distinctiven type of attitudes on death among cancer patient family members, and their death attitudes were affected by demographic and socio-cultural factors such as sex, education, and religion.

• Phonetics and Speech Sciences
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• v.12 no.2
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• pp.63-72
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• 2020

This study aims to develop a video-based smart utterance deep analyser (SUDA) application that analyzes semiautomatically the utterances that child and mother produce during interactions over time. SUDA runs on the platform of Android, iPhones, and tablet PCs, and allows video recording and uploading to server. In this device, user modes are divided into three modes: expert mode, general mode and manager mode. In the expert mode which is useful for speech and language evaluation, the subject's utterances are analyzed semi-automatically by measuring speech and language factors such as disfluency, morpheme, syllable, word, articulation rate and response time, etc. In the general mode, the outcome of utterance analysis is provided in a graph form, and the manger mode is accessed only to the administrator controlling the entire system, such as utterance analysis and video deletion. SUDA helps to reduce clinicians' and researchers' work burden by saving time for utterance analysis. It also helps parents to receive detailed information about speech and language development of their child easily. Further, this device will contribute to building a big longitudinal data enough to explore predictors of stuttering recovery and persistence.