• Women's Health Nursing
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• v.19 no.3
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• pp.142-152
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• 2013

Purpose: The Purpose of this study was to investigate relationships between maternal fetal attachment and state anxiety for pregnant women in preterm labor. Methods: The subjects consisted of 56 pregnant women in preterm labor on C hospital. The data were analyzed using SPSS computer program that includes descriptive statistics, mean, standard deviation, t-test, ANOVA, Scheffe? test and Pearson correlation coefficient. Results: Age distribution was 30~39 years of age. Mean score of maternal fetal attachment was 91.50. The group whose planned pregnancy was highest showed higher maternal fetal attachment. The primigravida group showed high maternal fetal attachment. Most frequently practiced attachment item was: "I'm really looking forward to seeing what the baby looks like". The next was was: "I enjoy watching my tummy jiggle as the baby kicks inside". There was no difference in degree of anxiety by general and obstetrical characteristics. There was statistically significant of negative correlation between maternal fetal attachment and state anxiety for pregnant women with preterm labor. Conclusion: Findings provide useful information for further studies in reducing anxiety and intervention programs relating to pregnancy and preterm labor. To increase maternal fetal attachment of pregnant women with preterm labor, it is necessary to standardize prenatal education program.

• Journal of Advanced Navigation Technology
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• v.10 no.1
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• pp.48-56
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• 2006

This paper proposes an efficient preprocessing technique for a binary centroid tracker in correlated image sequences. It is known that the following factors determine the performance of the binary centroid target tracker: (1) an efficient real-time preprocessing technique, (2) an exact target segmentation from cluttered background images and (3) an intelligent tracking window sizing, and etc. The proposed centroid tracker consists of an adaptive segmentation method based on novel distance features and an efficient real-time preprocessing technique in order to enhance the distinction between the objects of interest and their local background. Various tracking experiments using synthetic images as well as real Forward-Looking InfraRed (FLIR) images are performed to show the usefulness of the proposed methods.

• Korean Journal of Health Education and Promotion
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• v.30 no.4
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• pp.41-56
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• 2013

Objectives: This article reviewed researches on intersectoral partnership of school health programs to suggest importance, current status and development plan of those. Methods: Domestic research papers were screened though Research Information Sharing Service (RISS), Koreanstudies Information Service System (KISS), Medical Library Information System (MEDLIS), Korean Medical Database (KMbase), and digital national assembly library. International papers were searched mainly via Pubmed. Results: Since intersectoral partnership is effective, comprehensive and universal approach for school health programs, many collaborative programs are universally progressing in various domain including smoking, alcohol, mental health and sexual behavior. On the other hand, intersectoral partnership of school health programs in Korea is still in the beginning stage, and there are few intersectoral partnerships. Moreover, there are several limitations including top-down approach, passive participation and lack of studies on the effect of intersectoral partnership. However, intersectoral partnerships in school health program including tuberculosis control system in school or WEE project are in progress, so it is worth looking forward in the future. Conclusions: To achieve successful intersectoral partnership in school health programs, appropriate partnership guideline for Korean society, policy support, active participation and improvement of consciousness in community stakeholders are needed.

• Design & Manufacturing
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• v.10 no.3
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• pp.30-33
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• 2016

It is true that the plastic shrinkage is inevitable. Shrinkage rate in effect at the time of mold design will soon determine the size of the global product. Process for the shrinkage of the plastic that provides how made, yet it has identified a process for making the question whether the shrinkage that can be trusted, and by the experimental results were as follows: as shrinkage, see ISO but, according to circumstances the process can go to the agreement between the parties. shrinkage ratio of the pressure sensor installed in the specimen mold is essential, amount of pressure sensor is that it is appropriate approximately 2-3. proper holding pressure is a significant effect on shrinkage Mitch, so that the effect of selecting the contraction ratio data according to the appropriate holding pressure during mold making. shrinkage CAE analysis results are difficult to utilize in the mold-making chamber. Based on these results, it concluded by looking forward to the improved products produced shrinkage.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.1968-1971
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• 2003

We propose a knowledge-based algorithm for extracting an object boundary from low-quality image like the forward looking infrared image. With the multi-classes training data set, the global shape is modeled by multispace KL(MKL)[1] and curvature model. And the objective function for fitting the deformable boundary template represented by the shape model to true boundary in an input image is formulated by Bales rule. Simulation results show that our method has more accurateness in case of multi-classes training set and performs better in the sense of computation cost than point distribution model(PDM)[2]. It works well in distortion under the noise, pose variation and some kinds of occlusions.

• Proceedings of the IEEK Conference
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• 2001.06a
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• pp.53-56
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• 2001

This paper has been developed a millimeter-wave radar to prevent car collision. This system needs to progress the problem as follows; (1) Increase of traffic accidents causing damage and injuries due to the increased number of motor vehicles and long distance driving, (2) Need for a device to help drivers who are in trouble due to bad weather conditions. (3) Need for a millimeter-wave radar as obstacles which need to be detected are small. This system is composited with some major technologies, Narrow beams to recognize obstacles or other objects, One-side circuit technology to prevent interference between electric waves, and Parts designed for radar products which are able to transmit millimeter - waves. The system has a various a application Field, Car distance auto-control system, prevent bump collision due to unexpected stoppage of the front car or careless driving, obstacle warning system, Car following system, and industrial and military purposes system. We have a looking forward to propose to develop field tests under various road conditions and hybrid car sensor by combining with other sensors

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2008.05a
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• pp.440-444
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• 2008

The 7-phase BLDC motor is possible for higher efficiency per the unit area, high power and high speed due to the increasing number of phase. Also, it can be looking forward to reduce the current ripple at a point of commutation by the increasing number of phase. Thus, a study for applications of servo system, medical and military instruments is progressing about the BLDC motor is manufactured with multi-phase, currently. This paper is used the fuzzy logic control method for speed control of 7-phase BLDC motor and this is compared with the conventional PI controller using by simulation and experimental results for verification validity of the fuzzy logic controller in this system. The 7-phase BLDC motor and controller are modeled by PSIM6.0 software of PowerSim co. in simulation and we are experimented by the test board that is composed with TMS320VC33-150 DSP controller of Texas Instruments co. and FLEX EPF6016TC144-3 of ALTERA co.

• Journal of Korean Neurosurgical Society
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• v.63 no.6
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• pp.681-688
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• 2020

Glioblastoma (GBM) is one of the most common tumors of the central nervous system, which is the most lethal brain cancer. GBM treatment is based primarily on surgical resection, combined with radiotherapy and chemotherapy. Despite the positive treatment, progression free survival and overall survival were not significantly prolonged because GBM almost always recurs. We are always looking forward to some new and effective treatments. In recent years, a novel treatment method called tumor treating fields (TTFields) for cancer treatment has been proposed. TTFields devices were approved by the Food and Drug Administration (FDA) for adjuvant treatment of recurrent and newly diagnosed GBMs in 2011 and 2015, respectively. This became the first breakthrough treatment for GBM in the past 10 years after the FDA approved bevacizumab for patients with relapsed GBM in 2009. This paper summarized the research results of TTFields in recent years and elaborated the mechanism of action of TTFields on GBM, including cell and animal experimental research, clinical application and social benefits.

• Journal of Cadastre & Land InformatiX
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• v.49 no.2
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• pp.151-167
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• 2019

Korea's current Land Category Classification System(LCCS) can not accurately register of complex and diverse Status of land use in Cadastral Record. Therefore, in order to draw implications for the improvement of LCCS in Korea, Shin SW and four others published a paper titled 'A Study on Land Category System of Domestic and Foreign Country' in 2013. This paper compared the 'land category', 'land use' and 'land cover' of six countries on the same line, and Some non-factual content was described. So, presented a new perspective on this. Looking forward, I hope that reasonable alternative will be presented based on the understanding of LCCS of Germany, Japan and Taiwan. In the future research project, to study the history of LCCS in Germany and Taiwan and suggest to refer to improvement of LCCS of Korea.

• Transactions of the Korean Society of Automotive Engineers
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• v.7 no.8
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• pp.233-247
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• 1999

Traffic accidents are normally caused by late or faulty judgements due to the driver's inaccurate estimation of the distance, velocity, and acceleration from the surrounding vehicles as well as his carelessness or inattention. Thus, the development of collision avoidance systems is motivated by their great potential for increased vehicle safety. A typical collision avoidance system consists of the forward-looking sensor, the criteria for activation of collision warming and avoidance, the collision avoidance maneuvers, and the user interface. This thesis is concerned with the development of a collision warning algorithm in which the driver is warned of approaching collision with the visual and/or the audible signals . The warning algorithm based on fuzzy logic is presented here based on new warning criteria. It has been newly derived from the conventional warning equation by adding a new input variable of the required deceleration to avoid collision. The algorithm is also able to adapt to the individual driver's taste along with the different road conditions by externally controlling the warning intensity. Finally , the proposed algorithm has been validated using computer simulation.