• Korean Journal of Clinical Pharmacy
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• v.16 no.1
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• pp.23-27
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• 2006

Doxorubicin (DXR) is a type of anti-cancer drug called an 'anthracycline glycoside', It works by impairing DNA synthesis, a crucial feature of cell division, and thus is able to target rapidly dividing cells. Doxorubicin is a very serious anti-cancer medication with definite potential to do great harm as well as great good. A liquid chromatography-tandem mass spectroscopy (LC-MS/MS) method was developed to identify and quantify DXR in small-volume biological samples. After the addition of internal standard (IS, $5{\mu}L\;of\;1{\mu}M/ml$ daunorubicin methanol solution) into the serum sample, the drug and IS were extracted by methanol. Following vortex for a 1min and centrifugation at 15,000g for 10 min the organic phase was transferred and evaporated under a vacuum. The residue was reconstituted with $350{\mu}L$ of mobile phase and $10{\mu}L$ was injected into C18 column with mobile phase composed of 0.05M ammonium acetate (0.1 M acetic acid adjusted to pH 3.5) and acetonitrile (40:60, v/v). The flow rate was kept constant at $350{\mu}L/min$. The ions were quantified in the multiple reaction mode (MRM), using positive ions, on a triple quadrupole mass spectrometer. The lower limits of quantification for Doxorubicin in plasma and small tissues were approximately 0.5 ng/mL and 0.5 ng/mL respectively. Intra- and inter-assay accuracy (% of nominal concentration) and precision (% CV) for all analytes were within 15%, respectively.

• Archives of Craniofacial Surgery
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• v.13 no.2
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• pp.111-118
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• 2012

Purpose: The nasal bone fracture is known as the most common facial fracture, with the postoperative results and the patient's satisfaction known to be lower than other facial fractures. The patient's satisfaction is firstly related to the accurate comprehension of the spatial relationship in the fractured nasal bone and secondly to the accurate reduction based on accurate comprehension. The aim of this study is to evaluate the objective usefulness of the three-dimensional (3D) imaging. Methods: The survey was conducted on 10 randomly selected cases of nasal bone fractures among the 46 cases with 3D computed tomography (CT) during the past one year. It was requested upon 4 plastic residents and 4 plastic surgeons to draw 3D aspect of fractured nasal bone directly on the printed photos of cadaver nasal bone, based on simple X-ray and two-dimensional (2D) CT. They were compared with the real fractured nasal bone aspects based on the 3D image and marked the difference in the 10-point scale of 0 to 10. Results: The average score of the 4 residents was 1.62 and that of the 4 surgeons was 4.47 out of 10 by simple X-ray. The average score of the 4 residents was 5.67 and that of the 4 surgeons was 7.25 out of 10 by 2D CT. Conclusion: It was surmised that the precise analysis and accurate comprehension of the spatial relationship of the fractured nasal bone using the 3D image, as based on the 2D CT images, can produce more favorable satisfaction levels in the patients.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.4
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• pp.41-49
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• 2008

H.264/AVC supports variable block motion compensation, multiple reference images, 1/4-pixel motion vector accuracy, and in-loop deblocking filter, compared with the existing compression technologies. While these coding technologies are major functions of compression rate improvement, they lead to high complexity at the same time. For the H.264 video coding technology to be actually applied on low-end / low-bit rates terminals more extensively, it is essential to improve tile coding speed. Currently the deblocking filter that can improve the moving picture's subjective image quality to a certain degree is used on low-end terminals to a limited extent due to computational complexity. In this paper, a performance improvement method of the deblocking filter that efficiently reduces the blocking artifacts occurred during the compression of low-bit rates digital motion pictures is suggested. In the method proposed in this paper, the image's spatial correlational characteristics are extracted by using the variable block information of motion compensation; the filtering is divided into 4 modes according to the characteristics, and adaptive filtering is executed in the divided regions. The proposed deblocking method reduces the blocking artifacts, prevents excessive blurring effects, and improves the performance about $30{\sim}40%$ compared with the existing method.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.4
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• pp.10-21
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• 2008

The present paper propose a real-time moving object recognition and tracking method using the wavelet-based neural network and invariant moments. Candidate moving region detection phase which is the first step of the proposed method detects the candidate regions where a pixel value changes occur due to object movement based on the difference image analysis between continued two image frames. The object recognition phase which is second step of proposed method recognizes the vehicle regions from the detected candidate regions using wavelet neurual-network. From object tracking Phase which is third step the recognized vehicle regions tracks using matching methods of wavelet invariant moments bases to recognized object. To detect a moving object from image sequence the candidate regions detection phase uses an adaptive thresholding method between previous image and current image as result it was robust surroundings environmental change and moving object detections were possible. And by using wavelet features to recognize and tracking of vehicle, the proposed method decrease calculation time and not only it will be able to minimize the effect in compliance with noise of road image, vehicle recognition accuracy became improved. The result which it experiments from the image which it acquires from the general road image sequence and vehicle detection rate is 92.8%, the computing time per frame is 0.24 seconds. The proposed method can be efficiently apply to a real-time intelligence road traffic surveillance system.

• Journal of IKEEE
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• v.22 no.3
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• pp.822-828
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• 2018

Recently, energy issues such as massive blackout due to increase in power consumption have been emerged, and it is necessary to improve the accuracy of prediction of power consumption as a solution for these problems. In this study, we investigate the difference between the actual power consumption and the predicted power consumption through the deep learning- based power consumption forecasting experiment, and the possibility of adjusting the power reserve ratio. In this paper, the prediction of the power consumption based on the deep learning can be used as a basis to reduce the power reserve ratio so as not to excessively produce extra power. The deep learning method used in this paper uses a learning model of long-short-term-memory (LSTM) structure that processes time series data. In the computer simulation, the generated power consumption data was learned, and the power consumption was predicted based on the learned model. We calculate the error between the actual and predicted power consumption amount, resulting in an error rate of 21.37%. Considering the recent power reserve ratio of 45.9%, it is possible to reduce the reserve ratio by 20% when applying the power consumption prediction algorithm proposed in this study.

• The Korean Journal of Emergency Medical Services
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• v.9 no.2
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• pp.55-78
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• 2005

The purpose of this study was to provide basic data for the improvement of the guidelines and training programs regarding the cardiopulmonary resuscitation performance of bystanders who can respond to the incidents in earlier times as the first responder of the cardiac arrest incident, by reviewing the performance of basic CPR and the influencing factors after providing 70 students of Department of Emergency Medical Technology with the CPR training. For the purpose of the study, the collected data were computerized and analyzed by SPSS-WIN program(ver. 10.1). The results for this study were as follows The duration of session between the groups in the BLS CPR were 3 minutes and 36 seconds, 2 minutes and 32 seconds respectively. The average compression number per minute were 24.3 times and 33,2 times respectively(p=.000), and the average compression rate per minute were 112 times and 122 times respectively(p=.000). The average ventilation number per minute were 3.54 times and 5.1 times respectively(p=.000). The errors in compression "Too shallow" were 20.73 times(34.6%) and 23,23 times(38,7%) out of 60 times in 4 cycles with the standard of 38 nun. In CPR performance results according to gender in the first episode, males showed better results in compression depth as 41.5 mm comparing to females average 38.2 mm(p=.015). When ventilation results were compared according to the use of FS, the average ventilation number per minute, total ventilation per minute and the average volume per episode were significantly higher when FS was not used(<.040), There was no significant difference in ventilation accuracy between two groups. According to the results, we need to improve and distribute portable barrier devices, and to be familiar with those devices. We need to enforce ventilations as well as to include compressions so that faster and more accurate CPR can be performed. Additionally, we need to exclude ventilation only cases, minimize the interference time of chest compression due to inaccurate ventilation, simplify or minimize the complicatedness of CPR performance and responding time related to breathing, provide first responders with various training programs such as initial assessment and ventilations only, or initial assessment and chest compression-only CPR and than provide advanced training with AHA BLS education including CPR for more than two people according to CPR skills and target characteristics.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.2
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• pp.925-928
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• 2014

Background: Gestational trophoblastic neoplasia (GTN) is a spectrum of disease with abnormal trophoblastic proliferation. Treatment is based on FIGO stage and WHO risk factor scores. Patients whose score is 12 or more are considered as at extremely high risk with a high likelihood of resistance to first line treatment. Optimal therapy is therefore controversial. Objective: This study was conducted in order to summarize the regimen used for extremely high risk or resistant GTN patients in our institution the in past 10 years. Materials and Methods: All the charts of GTN patients classified as extremely high risk, recurrent or resistant during 1 January 2002 to 31 December 2011 were reviewed. Criteria for diagnosis of GTN were also assessed to confirm the diagnosis. FIGO stage and WHO risk prognostic score were also re-calculated to ensure the accuracy of the information. Patient characteristics were reviewed in the aspects of age, weight, height, BMI, presenting symptoms, metastatic area, lesions, FIGO stage, WHO risk factor score, serum hCG level, treatment regimen, adjuvant treatments, side effects and response to treatment, including disease free survival. Results: Eight patients meeting the criteria of extremely high risk or resistant GTN were included in this review. Mean age was 33.6 years (SD=13.5, range 17-53). Of the total, 3 were stage III (37.5%) and 5 were stage IV (62.5%). Mean duration from previous pregnancies to GTN was 17.6 months (SD 9.9). Mean serum hCG level was 864,589 mIU/ml (SD 98,151). Presenting symptoms of the patients were various such as hemoptysis, abdominal pain, headache, heavy vaginal bleeding and stroke. The most commonly used first line chemotherapeutic regimen in our institution was the VAC regimen which was given to 4 of 8 patients in this study. The most common second line chemotherapy was EMACO. Adjuvant radiation was given to most of the patients who had brain metastasis. Most of the patients have to delay chemotherapy for 1-2 weeks due to grade 2-3 leukopenia and require G-CSF to rescue from neutropenia. Five form 8 patients were still survived. Mean of disease free survival was 20.4 months. Two patients died of the disease, while another one patient died from sepsis of pressure sore wound. None of surviving patients developed recurrence of disease after complete treatment. Conclusions: In extremely high risk GTN patients, main treatment is multi-agent chemotherapy. In our institution, we usually use VAC as a first line treatment of high risk GTN, but since resistance is quite common, this may not suitable for extremely high risk GTN patients. The most commonly used second line multi-agent chemotherapy in our institution is EMA-CO. Adjuvant brain radiation was administered to most of the patients with brain metastasis in our institution. The survival rate is comparable to previous reviews. Our treatment demonstrated differences from other institutions but the survival is comparable. The limitation of this review is the number of cases is small due to rarity of the disease. Further trials or multicenter analyses may be considered.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.137-143
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• 2020

To ensure safety of raw materials for military foods, hazard assessment and monitoring of residual pesticides was conducted on agricultural products consumed by 9 companies based in Gyeongin and Gangwon. Residual pesticides were analyzed for 142 different products, by applying the multi-species pesticide polycomponent analysis method. Of the 36 samples analyzed, residual pesticides were detected in 7 samples, representing a detection rate of 19.4%. One particular pesticide residue was detected in peanuts, green onions, and red pepper powder, and 20 types of pesticide residues were detected in red pepper powder used in combat foods. However, all residues were found to be below the permissible level. Moreover, the hazard assessment results for Cypermethrin, Tebuconazole and EPN showed the highest concentration among the residual pesticides detected. Since the estimated intake was less than 100% as compared to the ingestion limit, it was considered to be safe. I have suggested the edit as per my understanding. Please review for accuracy, and revise appropriately if required. This is the first pesticide Risk Assessment study encompassing military requirements. Considering the results, we expect further application research, including research on reducing hazardous materials.

• Journal of Korea Multimedia Society
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• v.15 no.9
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• pp.1075-1085
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• 2012

In clinical research using medical images, the image segmentation is one of the most important processes. Especially, the hippocampal atrophy is helpful for the clinical Alzheimer diagnosis as a specific marker of the progress of Alzheimer. In order to measure hippocampus volume exactly, segmentation of the hippocampus is essential. However, the hippocampus has some features like relatively low contrast, low signal-to-noise ratio, discreted boundary in MRI images, and these features make it difficult to segment hippocampus. To solve this problem, firstly, We selected region of interest from an experiment image, subtracted a original image from the negative image of the original image, enhanced contrast, and applied anisotropic diffusion filtering and gaussian filtering as preprocessing. Finally, We performed an image segmentation using two level set methods. Through a variety of approaches for the validation of proposed hippocampus segmentation method, We confirmed that our proposed method improved the rate and accuracy of the segmentation. Consequently, the proposed method is suitable for segmentation of the area which has similar features with the hippocampus. We believe that our method has great potential if successfully combined with other research findings.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.3
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• pp.259-264
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• 2014

This paper is research paper on the MPD(Magnet Position Device) for the outdoor MGV(Magnet /Magnet Gyro Guidance Vehicle). Usually, MGV is used in indoor environment because of a measurement height of the magnet position device. CMPD(Commercial magnet position device) has 30 mm measurement height, so this is suitable structure in indoor environment like to a flat surface. Outdoor environment is an uneven and irregular, So Outdoor MGV must has a suspension. But CMPD is unsuitable for outdoor environment because of a collision with a surface caused by suspension. Thus, measurement height of the outdoor MPD is positively necessary more than 100 mm. So, we suggest the outdoor MPD using analog magnet hall sensor, moving average filter and Characteristic(rate of the magnet hall sensor) function of the localization. Result of the experiments, the proposed Magnet Position Device for the outdoor MGV has localization accuracy 4.31 mm, measurement height 150 mm and width 150 mm and is efficient more than CMPD.