• Journal of the Institute of Convergence Signal Processing
• /
• v.19 no.2
• /
• pp.47-53
• /
• 2018

This paper proposes a method to express an MP3 audio file by a series of color QR codes which can be printed on the paper. Moreover, the method can compress the data considerably. Firstly, an MP3 file is divided into many small files which have maximum capacity of binary file of a QR code. Secondly, the multiple files are converted to multiple black-and-white QR codes. Lastly, every three QR codes are combined into color QR codes. When combining, each of three black-and-white QR codes are regarded as red, green, blue components respectively. In this method, the areas of a color QR code where two QR codes are overlapped are expressed by the colors Cyan, Magenta and Yellow. And the areas where three components are overlapped are expressed by white color. Contrarily, the areas that no components are overlapped are expressed by white color. Experimentation result shows that an MP3 file with 8.5MB the original MP3 files are compressed with the compression rate around 15.7. This method has the advantage that can be used in the environments that the internet access is impossible.

• Korean Journal of Food Science and Technology
• /
• v.26 no.2
• /
• pp.162-166
• /
• 1994

A rapid gas chromatographic (GC) profiling method for the simultaneous analysis of volatile and nonvolatile organic acids was applied to alcoholic beverages (white wine, red wine, brandy, and beer). It involves the solid-phase extraction of organic acids using Chromosorb P as the sorbent and diethyl ether as the eluent with subsequent triethylamine treatment. The resulting triethylammonium salts of acids were directly converted to volatile tert.-butyldimethylsilyl derivatives, which were analyzed by dual-capillary column GC and GC-mass spectrometry. From the alcoholic beverages studied, more than 29 organic acids were detected. When the simplified retention infer (RI) spectra of organic acids, and the direct comparisor method between alcoholic beverages and a test sample were attempted to identify a test sample, it was quickly recognized to be a red wine with the 998 ppt match quality value.

• Journal of the korean academy of Pediatric Dentistry
• /
• v.37 no.3
• /
• pp.308-316
• /
• 2010

Odontoblasts are anchorage dependent cells adhering to a substrate via cell adhesive molecules. Receptor ligands such as integrins bind to these proteins and are known to function as signal transduction molecules in a series of critical recognition events of cell-substratum. The aim of this study is to examine the interaction of odontoblast (MDPC-23 cell) with type I Col and the effect of TGF-${\beta}1$ and TNF-$\alpha$ on the expression of cell adhesion molecules. In this study, MDPC-23 cells adhered to type I Col dose-dependently. Immunofluorescence data demonstrated that integrin ${\alpha}1$, ${\alpha}2$ and CD44 were expressed on cell surface, and FAK and paxillin were localized in focal adhesion plaques in MDPC-23 cells adhesion to Col. Cytokine TGF-${\beta}1$ increased the adhesion of MDPC-23 cells to Col and the expression level of integrin ${\alpha}1$, 4{\alpha}2$ and chondroitin sulfate on MDPC-23 cells. RT-PCR data demonstrated that cytokine TGF-${\beta}1$ increased the amount of integrin ${\alpha}1$ mRNA in MDPC-23 cells. Therefore, MDPC-23 cells adhere to collagen type I Col and expressed a complex pattern of integrins and proteoglycans, including ${\alpha}1$, ${\alpha}2$, chondroitin sulfate and CD44 detected by immunoblotting and immunofluorescence assay. TGF-${\beta}1$ treatment enhanced the expression of adhesion molecules such as integrin ${\alpha}1$, ${\alpha}2$ and chondroitin sulfate.

• Journal of Korea Society of Industrial Information Systems
• /
• v.12 no.4
• /
• pp.138-147
• /
• 2007

Metabolic pathway is a series of chemical reactions occuning within a cell and can be used for drug development and understanding of life phenomenon. Many biologists are trying to extract metabolic pathway information from huge literatures for their metabolic-circuit regulation study. We propose a text-mining technique based on the keyword and pattern. Proposed technique utilizes a web robot to collect huge papers and stores them into a local database. We use gene ontology to increase compound recognition rate and NCBI Tokenizer library to recognize useful information without compound destruction. Furthermore, we obtain useful sentence patterns representing metabolic pathway from papers and KEGG database. We have extracted 66 patterns in 20,000 documents for Glycosphingolipid species from KEGG, a representative metabolic database. We verify our system for nineteen compounds in Glycosphingolipid species. The result shows that the recall is 95.1%, the precision 96.3%, and the processing time 15 seconds. Proposed text mining system is expected to be used for metabolic pathway reconstruction.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.43 no.5 s.311
• /
• pp.29-37
• /
• 2006

Thresholding is a fundamental approach to segmentation that utilizes a significant degree of pixel popularity or intensity. Otsu's thresholding employed the normalized histogram as a discrete probability density function. Also it utilized a criterion that minimizes the between-class variance of pixel intensity to choose a threshold value for segmentation. However, the Otsu's method has a disadvantage of repeatedly searching optimal thresholds for the entire range. In this paper, a simple but fast multi-level thresholding approach is proposed by means of extending the Otsu's method. Rather than invoke the Otsu's method for the entire gray range, we advocate that the gray-level range of an image be first divided into smaller sub-ranges, and that the multi-level thresholds be achieved by iteratively invoking this dividing process. Initially, in the proposed method, the gray range of the object image is divided into 2 classes with a threshold value. Here, the threshold value for segmentation is selected by invoking the Otsu's method for the entire range. Following this, the two classes are divided into 4 classes again by applying the Otsu's method to each of the divided sub-ranges. This process is repeatedly performed until the required number of thresholds is obtained. Our experimental results for three benchmark images and fifty faces show a possibility that the proposed method could be used efficiently for pattern matching and face recognition.

• Journal of Digital Convergence
• /
• v.18 no.8
• /
• pp.85-95
• /
• 2020

It is a newly defined concept of digital sex crimes as the sex crime pattern in Korea is integrated with digital technology. After examining the current status and response of digital sex crimes in Korea, legal and institutional gaps are identified.It is also aimed at drawing up appropriate responses to domestic situations compared to cases in major foreign countries. This study adopted the mode of literature research.It used related data from government agencies, various statistics and survey data, seminar data organized by the National Assembly office, women's organizations, and research reports. The ultimate goal is to derive the problem situation by analyzing the current system.The results of this study are to discuss digital sex crimes that are being expanded and reproduced by the development of digital media. It also points out that the legal vacuum caused by the law's failure to keep up with the law needs to be continued.Our conclusion is that we should actively accept best practices from abroad. In addition, it is necessary to create a community value in which all members of society become "monitors" in the recognition that they may be perpetrators or victims.

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.42 no.6
• /
• pp.37-48
• /
• 2005

The efficiency of power supply circuits such as DC-DC converters and batteries varies on the trend of the power consumption because their efficiencies are not fixed. To analyze the efficiency of power supply circuits, we need the temporal behavior of the power consumption of the loads, which is dependent on the activity factors of the devices during the operation. Since it is not easy to model every detail of those factors, one of the most accurate power consumption analyses of power supply circuits is measurement of a real system, which is expensive and time consuming. In this paper, we introduce an active load emulator for embedded systems which is capable of power measurement, logging, replaying and synthesis. We adopt a pattern recognition technique for data compression in that long-term behaviors of power consumption consist of numbers of repetitions of short-term behaviors, and the number of short-term behaviors is generally limited to a small number. We also devise a heterogeneous structure of active load elements so that low-speed, high-current active load elements and high-speed, low-current active load elements may emulate large amount and fast changing power consumption of digital systems. For the performance evaluation of our load emulator, we demonstrate power measurement and emulation of a hard drive. As an application of our load emulator, it is used for the analysis of a DC-DC converter efficiency and for the verification of a low-power frequency scaling policy for a real-time task.

• Women's Health Nursing
• /
• v.7 no.3
• /
• pp.271-283
• /
• 2001

The childbearing process is a sociocultural phenomenon of a woman who gives birth to a child as well as a biological phenomenon. The purpose of this ethnographic research study was to explore the experience of childbearing process of mothers with children from pregnancy to the 3 months postpartum in Korea and to understand deeply the perspectives of childbearing women reflected on Korean sociocultural values. A convenient sample of 10 childbearing women were observed from January to October 2000 through field work in Seoul, Korea. Data analysis was accomplished under ongoing process. The results of this study were as follows : The mothers with children experienced self-reflection, family relation, and physical adaptation during pregnancy. In self-reflection, all mothers experienced universality and diversity in their self-discovering process. The universal experiences were maturation, life with family and priority on maternal value between being a mother and a woman. The diverse experiences were taking a dual role of working mother, emotional drift of a resigned mother, and disheartened life of a mother who has two daughters. In family relation, the foundation of the new marital relationship were attained during childbearing process and sexual life were changed for the benefit of a healthy mother and a healthy baby. All mothers established friendly relations with their mothers, but established friendly or conflicting or constraining relations with their mother-in-laws due to husband based family culture. In physical adaptation, the informants endured well the physical discomfort and recognized general appearance change. Also maternal-fetal interaction occurred and mothers realistically felt motherhood and accepted themselves as mother-to-be. The mothers prepared for the best delivery, look for a safe childbirth center, newborn goods, endorsed family coping during hospitalization and responded labor pain to make it more endurable, less painful, fast passed owing to labor recognition of the natural process to be a mother. After childbirth, they felt emancipation, satisfaction, accomplishment, more easiness, actually feeling as mother-to-be, emptiness, and showed response to the sex of newborn. Their Sanhujori practice was different according to the Sanhujori environment including provider, place, time in postpartum and reflected on Sanhubyung. The mothers felt actually mother-to-be and happiness during lactation regardless of feeding pattern. These mothers had a different maternal image about rearing subjecthood through their child-rearing experience. But all mothers felt need for family support and social support. The universal rearing response were actual feeling of mother-to-be, a strenuous experience, a pride on child-rearing, confusion, reflecting marital relationship, and wondering rivalry among children. In conclusion, mother of all with children went through self-discovery, self-reflection and made connections with the family as a mother and as a woman simultaneously during the childbearing process. Therefore it is suggested when harmony and balance between a mother and a woman is accomplished, the woman will lead a healthy and high quality of life. Also, this study sought to confirm the sociocultural factors affecting the childbearing process from the perspectives of the women with children. Therefore health care providers must understand deeply the childbearing women with children based on this finding of and try a integrative approach with new ideology of maternity with biocultural perspectives in a clinical setting.

• Journal of Navigation and Port Research
• /
• v.41 no.6
• /
• pp.445-450
• /
• 2017

It is necessary to set a route to reflect the traffic flow for the safety of the traffic vessels. This ongoing analysis is needed to ensure that the vessels comply with a route. The purpose of this study is to discover the problems of the recommended route vicinity for Wando Harbor and suggest an improvement plan. We used a support vector machine based on the ship's trajectory to establish an efficient route center line. Since the vessels should navigate to the starboard side, with reference to the center line of the recommended route, the trajectories of the vessels were divided into two clusters. The support vector machine is being used in many fields such as pattern recognition, and it is effective for this binary classification. As a result of this study, about 79.5 % of the merchant eastbound ships in a 2.4 NM distance to Jangjuk Sudo did not observe the recommended route, so the risk of collision always existed. The contraflow traffic rate of the route of the eastbound ships decreased from 79.5 % to 30.9 % when the recommended route was reset about 300 meters to the north, from its present position. The support vector machine applied in this study is expected to be applicable, to effectively set the route center line because the ship trajectories can be classified into two clusters.

• KIPS Transactions on Software and Data Engineering
• /
• v.7 no.4
• /
• pp.129-134
• /
• 2018

Recently, the artificial neural network (ANN) model is a promising technique in the prediction, numerical control, robot control and pattern recognition. We predicted the outside temperature of greenhouse using ANN and utilized the model in greenhouse control. The performance of ANN model was evaluated and compared with multiple regression model(MRM) and support vector machine (SVM) model. The 10-fold cross validation was used as the evaluation method. In order to improve the prediction performance, the data reduction was performed by correlation analysis and new factor were extracted from measured data to improve the reliability of training data. The backpropagation algorithm was used for constructing ANN, multiple regression model was constructed by M5 method. And SVM model was constructed by epsilon-SVM method. As the result showed that the RMSE (Root Mean Squared Error) value of ANN, MRM and SVM were 0.9256, 1.8503 and 7.5521 respectively. In addition, by applying the prediction model to greenhouse heating load calculation, it can increase the income by reducing the energy cost in the greenhouse. The heating load of the experimented greenhouse was 3326.4kcal/h and the fuel consumption was estimated to be 453.8L as the total heating time is $10000^{\circ}C/h$. Therefore, data mining technology of ANN can be applied to various agricultural fields such as precise greenhouse control, cultivation techniques, and harvest prediction, thereby contributing to the development of smart agriculture.