• Proceedings of the Korean Society of Medical Physics Conference
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• 2002.09a
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• pp.429-431
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• 2002

Metabolic analysis of biological tissues, the interventional radiology in MRT (Magnetic Resonance Treatment) and for clinical diagnoses, representation of 4-Dimensional (4D) structural information (x,y,z,t) of biological tissues is required. This paper discusses image representation techniques for those 4D MR Images. We have proposed an image reconstruction method for ultra-fast 3D MRI. It is based on image interpolation and prediction of un-acquired pictorial data in both of the real and the k-space (the acquisition domain in MRI). A 4D MR image is reconstructed from only two 3D MR images and acquired a few echo signals that are optimized by prediction of the tissue motion. This prediction can be done by the phase of acquired echo signal is proportioned to the tissue motion. On the other hand, reconstructed 4D MR images are represented as a 3D-movie by using computer graphics techniques. Rendered tissue surfaces and/or ROIs are displayed on a CRT monitor. It is represented in an arbitrary plane and/or rendered surface with their motion. As examples of the proposed representation techniques, the finger and the lung motion of healthy volunteers are demonstrated.

• The Korean Journal of Nuclear Medicine
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• v.38 no.2
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• pp.115-120
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• 2004

Molecular imaging is a rapidly growing field due to the advances in molecular biology and imaging technologies. With the introduction of imaging reporter genes into the cell, diverse cellular processes can be monitored, quantified and imaged non-invasively in vivo. These precesses include the gene expression, protein-protein interactions, signal transduction pathways, and monitoring of cells such as cancer cells, immune cells, and stem cells. In the near future, molecular imaging analysis will allow us to observe the incipience and progression of the disease. These will make us easier to give a diagnosis in the early stage of intractable diseases such as canter, neuro-degenerative disease, and immunological disorders. Additionally, molecular imaging method will be a valuable tool for the real-time evaluation of cells in molecular biology and the basic biological studies. As newer and more powerful molecular imaging tools become available, it will be necessary to corporate clinicians, molecular biologists and biochemists for the planning, interpretation, and application of these techniques to their fullest potential. in order for such a multidisciplinary team to be effective, it is essential that a common understanding of basic biochemical and molecular biologic techniques is achieved. Basic molecular techniques for molecular imaging methods are presented in this paper.

• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 1999.10a
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• pp.186-192
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• 1999

Safety-related equipments of nuclear power plant must be seismically qualified to demonstrate their ability to function as required during and/or after the earthquake, The seismic qualification is usually achieved through analysis and testing. Analysis method is preferably adopted for structurally simple equipments which are easy to be mathematically modeled. However even for relatively complex equipments analysis method is occasionally used for computing the input motion or supporting information for the component test followed. Electrical cabinet is a typical example for which analysis method is combinedly used with test to get modal properties of the enclosing cabinet structure. Usually the structural elements and doors of the cabinet are loosely interconnected with small-size bolts or spot welding. Therefore cabinet-type equipment usually has high and complex nonlinear properties which are not easily idealized by simple practical modeling techniques. in this paper with respect to a typical cabinet-type structure(instrumentation cabinet of nuclear power plant) a comparative study has been performed between three different state-of-the -art modeling techniques: lumped mass model frame model and FEM modal. Form the study results it has been found that modal properties of the cabinet-type structure in the elastic behavior range can be reasonably computed through any type of modeling techniques in the practice with slight modification of model properties to get better accuracy. However it needs additional modeling techniques to get reasonable results up to nonlinear range.

• Nuclear Engineering and Technology
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• v.43 no.4
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• pp.361-374
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• 2011

Two types of numerical modeling techniques were considered for the dynamic response of a structure subjected to a ground acceleration. One technique is based on the equation of motion relative to ground motion, and the other is based on the equation of absolute motion of the structure and the ground. The analytic background of the former is well established while the latter has not yet been extensively verified. The latter is called a large mass method, which allocates an appropriate large mass to the ground so that it causes the ground to move according to a given acceleration time history. In this paper, through the use of a single degree-of-freedom spring-mass system, the equations of motion of the two techniques were analyzed and useful theorems are provided on the large mass method. Using simple examples, the numerical results of the two modeling techniques were compared with analytic solutions. It is shown that the theorems provide a clear insight on the large mass method.

• Journal of Fashion Business
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• v.23 no.6
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• pp.1-15
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• 2019

Appropriation is of considerable significance in a cultural trend of thought, as one of the means of realizing the post-modernism period. With the increasing use of appropriation techniques in modern fashion, it is necessary to study the external performance and internal aesthetic value of appropriation in fashion. In the book of cultural appropriation, American scholar James o young divides into three categories of appropriation in culture, namely: object appropriation, content appropriation, and subject appropriation. Based on James O Young's three types of appropriation techniques summarized in the theory of the cultural appropriation, the purpose of this study is through the appropriation of the poncho of traditional Mexican clothing in modern fashion as an example; analyzing the external appropriation characteristics and internal aesthetic significance of different appropriation type. The results are as follows. First, designers take the Originality in modern fashion by expressing Mexican Poncho's form, color, pattern, and material as it is through object appropriation technique. Second, through the Mexican folk poncho's style, designers used these to show the similarity produced by content appropriation in modern fashion. Third, designers used the poncho's design concept or poncho's culture, blending the theme of the collection, adding different color, pattern or materials such as fur, lace, and wool, and presenting a new image different from folk costumes through creative subject appropriation technique.

• Journal of Power Electronics
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• v.17 no.6
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• pp.1600-1610
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• 2017

We propose maximum power extraction from a rooftop solar photovoltaic (PV) array during partial shading conditions. Partial shading is unavoidable during power extraction from rooftop PV systems due to nearby tall buildings (construction of additional floors) and trees (growth of trees). Many reconfiguration techniques can be used to extract maximum power in partial shading conditions, but in several cases, the real maximum power output is not achieved. In this study, a new switched PV technique is proposed to enhance the power output. The proposed technique is simple to use and more cost effective than other reconfiguration techniques. Therefore, it is suitable for rooftop applications. The power output of the proposed technique is compared with that of existing techniques with similar shading patterns. Eight panels with ratings of 250 watts (2 kW) each are used for testing. MATLAB simulation and hardware verification are done for the proposed and existing techniques. The proposed technique is implemented on a $4{\times}2$ PV array, although it can be extended to a number of arrays.

• Journal of dental hygiene science
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• v.19 no.2
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• pp.86-95
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• 2019

The modern era of microbial genome analysis began in earnest in the 2000s with the generalization of metagenomics and gene sequencing techniques. Studying complex microbial community such as oral cavity and colon by a pure culture is considerably ineffective in terms of cost and time. Therefore, various techniques for genomic analysis have been developed to overcome the limitation of the culture method and to explore microbial communities existing in the natural environment at the gene level. Among these, DNA fingerprinting analysis and microarray chip have been used extensively; however, the most recent method of analysis is metagenomics. The study summarily examined the overview of metagenomics analysis techniques, as well as domestic and foreign studies on disease genomics and cluster analysis related to oral metagenome. The composition of oral bacteria also varies across different individuals, and it would become possible to analyze what change occurs in the human body depending on the activity of bacteria living in the oral cavity and what causality it has with diseases. Identification, isolation, metabolism, and presence of functional genes of microorganisms are being identified for correlation analysis based on oral microbial genome sequencing. For precise diagnosis and treatment of diseases based on microbiome, greater effort is needed for finding not only the causative microorganisms, but also indicators at gene level. Up to now, oral microbial studies have mostly involved metagenomics, but if metatranscriptomic, metaproteomic, and metabolomic approaches can be taken together for assessment of microbial genes and proteins that are expressed under specific conditions, then doing so can be more helpful for gaining comprehensive understanding.

• Journal of architectural history
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• v.27 no.6
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• pp.31-40
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• 2018

This paper is to clarify on the characteristics of the Haeeumwonji and the Main Palace of the Goryo Dynasty. The architectural techniques and construction methods such as embankment, stylobate, stairway, foundation stone, and pave are similar to those of the Haeeumwonji and the Main Palace of the Goryo Dynasty. In order to express the hierarchy of the area and building, the materials, techniques, and forms of the embankment, stylobate, stairway, foundation stone and pave were used differently. The paving of the floor of the main building and area is also an active expression of the hierarchy and status of the building area and the building through the use of building materials, techniques and forms. This result confirms the support of Goryeo royal family and the upper class for the construction of Haeeumwonji, which is recorded in the historical documents. And it also shows that the architectural techniques and processing method of the same period were shared in the capital and provinces, which is an important clue that proves that the capital-centered architectural technology has spread to the provinces. It is expected that additional research will be needed on the characteristics of the period of 12th century architecture technique in which Haeeumwonji was built.

• The Korean Journal of Emergency Medical Services
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• v.23 no.1
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• pp.35-48
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• 2019

Purpose: This study aimed to explore the rationality for and countermeasures against the use of prehospital patient restraint (PPR) techniques in efforts to limit violent behavior toward 119 emergency medical technicians (EMTs). Methods: Previous countermeasures to limit violent behavior toward 119 EMTs and medical personnel were focused on strict reactive and passive proactive responses. However, those in support of the countermeasures do not believe that violent and criminal behavior can be limited or extinguished by strengthening the punishment unconditionally. Results: When it comes to the far-reaching effects of stigmatization on people who engage in violent and criminal behavior, it is possible that unconditional punishment leads to more crime, increases the costs of imprisonment, and consequently, adds to the financial burden of the government. Conclusion: Thus, we are faced with an urgent need to prepare legal grounds for the use of PPR techniques by 119 EMTs for agitated or combative patients only, with direct medical oversight. Moreover, the legal foundation for the use of PPR techniques also needs to be established for emergency medical personnel. The use of PPR techniques not only ensures the safety of emergency medical services personnel, but also protects patients from injuring themselves and others.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.73-78
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• 2022

The aim of this paper is to investigate the prevalence of Deep Learning in the literature on Fire & Rescue Service. It is found that deep learning techniques are only beginning to benefit the firefighters. The popular areas where deep learning techniques are making an impact are situational awareness, decision making, mental stress, injuries, well-being of the firefighter such as his sudden fall, inability to move and breathlessness, path planning by the firefighters while getting to an fire scene, wayfinding, tracking firefighters, firefighter physical fitness, employment, prediction of firefighter intervention, firefighter operations such as object recognition in smoky areas, firefighter efficacy, smart firefighting using edge computing, firefighting in teams, and firefighter clothing and safety. The techniques that were found applied in firefighting were Deep learning, Traditional K-Means clustering with engineered time and frequency domain features, Convolutional autoencoders, Long Short-Term Memory (LSTM), Deep Neural Networks, Simulation, VR, ANN, Deep Q Learning, Deep learning based on conditional generative adversarial networks, Decision Trees, Kalman Filters, Computational models, Partial Least Squares, Logistic Regression, Random Forest, Edge computing, C5 Decision Tree, Restricted Boltzmann Machine, Reinforcement Learning, and Recurrent LSTM. The literature review is centered on Firefighters/firemen not involved in wildland fires. The focus was also not on the fire itself. It must also be noted that several deep learning techniques such as CNN were mostly used in fire behavior, fire imaging and identification as well. Those papers that deal with fire behavior were also not part of this literature review.