• Investigative Magnetic Resonance Imaging
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• v.25 no.2
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• pp.76-80
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• 2021

Post-concussion syndrome (PCS) following mild traumatic brain injury (mTBI) is a major factor that contributes to the increased socioeconomic burden caused by TBI. Myelin loss has been implicated in the development of PCS following mTBI. Diffusion tensor imaging (DTI), a traditional imaging modality for the evaluation of axonal and myelin integrity in mTBI, has intrinsic limitations, including its lack of specificity and its time-consuming and labor-intensive post-processing analysis. More recently, various fast MR techniques based on multicomponent relaxometry (MCR), including QRAPMASTER, mcDESPOT, and MDME sequences, have been developed. These MCR-based sequences can provide myelin water fraction/myelin volume fraction, a quantitative parameter more specific to myelin, which might serve as a surrogate marker of myelin volume, in a clinically feasible time. In this review, we summarize the clinical application of the MCR-based fast MR techniques in mTBI patients.

• The Journal of Information Systems
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• v.30 no.4
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• pp.247-275
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• 2021

Purpose This study attempted to predict corporate innovation and business performance using ensemble learning. Design/methodology/approach The ensemble techniques uses weak learning to create robust learning, which combines several weak models to derive improved performance. In this study, XGboost, LightGBM, and Catboost were used among ensemble techniques. It was compared and evaluated with traditional machine learning methods. Findings The summary of the research results is as follows. First, the type of innovation is expanding from technical innovation to non-technical areas. Second, it was confirmed that LightGBM performed best for radical innovation prediction, and XGboost performed best for incremental innovation prediction. Third, Catboost performed best for firm performance prediction. Although there was no significant difference in predictive power between ensemble techniques, we found that comparative analysis was necessary to confirm better prediction performance.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.1-12
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• 2022

The current progression in the Internet of Things (IoT) and Machine Learning (ML) based technologies converted the traditional healthcare system into a smart healthcare system. The incorporation of IoT and ML has changed the way of treating patients and offers lots of opportunities in the healthcare domain. In this view, this research article presents a new IoT and ML-based disease diagnosis model for the diagnosis of different diseases. In the proposed model, vital signs are collected via IoT-based smart medical devices, and the analysis is done by using different data mining techniques for detecting the possibility of risk in people's health status. Recommendations are made based on the results generated by different data mining techniques, for high-risk patients, an emergency alert will be generated to healthcare service providers and family members. Implementation of this model is done on Anaconda Jupyter notebook by using different Python libraries in it. The result states that among all data mining techniques, SVM achieved the highest accuracy of 0.897 on the same dataset for classification of Parkinson's disease.

• International Journal of Computer Science & Network Security
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• v.23 no.7
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• pp.119-130
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• 2023

Worldwide organizations use the benefits offered by Cloud Computing (CC) to store data, software and programs. While running hugely complicated and sophisticated software on cloud requires more energy that causes global warming and affects environment. Most of the time energy consumption is wasted and it is required to explore opportunities to reduce emission of carbon in CC environment to save energy. Many improvements can be done in regard to energy efficiency from the software perspective by considering and paying attention on the energy consumption aspects of software's that run on cloud infrastructure. The aim of the current research is to propose a framework with an additional phase called parameterized development phase to be incorporated along with the traditional Software Development Life cycle (SDLC) where the developers need to consider the suggested techniques during software implementation to utilize low energy for running software on the cloud and contribute in green computing. Experiments have been carried out and the results prove that the suggested techniques and methods has enabled in achieving energy consumption.

• Mass Spectrometry Letters
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• v.14 no.3
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• pp.57-78
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• 2023

Understanding the chemical composition of the brain helps researchers comprehend various neurological processes effectively. Understanding of the fundamental pathological processes that underpin many neurodegenerative disorders has recently advanced thanks to the advent of innovative bioanalytical techniques that allow high sensitivity and specificity with chemical imaging at high resolution in tissues and cells. Mass spectrometry imaging [MSI] has become more common in biomedical research to map the spatial distribution of biomolecules in situ. The technique enables complete and untargeted delineation of the in-situ distribution characteristics of proteins, metabolites, lipids, and peptides. MSI's superior molecular specificity gives it a significant edge over traditional histochemical methods. Recent years have seen a significant increase in MSI, which is capable of simultaneously mapping the distribution of thousands of biomolecules in the tissue specimen at a high resolution and is otherwise beyond the scope of other molecular imaging techniques. This review aims to acquaint the reader with the MSI experimental workflow, significant recent advancements, and implementations of MSI techniques in visualizing the anatomical distribution of neurochemicals in the human brain in relation to various neurogenerative diseases.

• Korean Institute of Interior Design Journal
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• v.23 no.6
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• pp.125-132
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• 2014

The purpose of this study was to investigate that to see how their traditional characteristics were reflected and expressed in Hanoi vietnamese contemporary public restaurants. For this, We visited Hanoi twice to have onsite research in August 2012 and 2013. According to the results of surveying Vietnamese public restaurants, all of the 12 cases had humane characteristics reflecting Vietnam traditional culture, showing Vietnamese unique traditional characteristics including intangible elements such as natural environment, life culture elements such as food culture, and formative aesthetic elements using indigenous ornaments. Different from luxury restaurants that had trade names on the theme of historical stories related to people or places and expressed various concepts formatively using photographs of Vietnamese politics and history and ornamental elements such as tableware, however, the public restaurants were simple in theme or concept. It is probably because most of the surveyed cases were situated in the old quarter to the north of the Hoan Kiem Lake and in the area to the west of the lake and their target customers were local people, so they reflected the Vietnamese traditional residence style and common people's life rather than designing the restaurants intentionally with specific concepts. As to the spatial expression characteristics of the surveyed cases, casual restaurants in Hanoi expressed only basic structure using basic construction materials and techniques with outdoor spaces in the form of Vietnam traditional tube house, and therefore, the overall atmosphere was contemporary. In indoor spaces as well, the general level was low, using uncharacteristic common design and color and cheap finishing materials and furniture. 83% of all cases showed the pattern of VM-VM-VT, being mainly contemporary by partially adopting Vietnamese unique ornamental elements for their outdoor and indoor spaces and using traditional elements supplementarily.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.3
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• pp.1-17
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• 2020

The Peking Opera is one of the most representative cultural aspects of China. It includes China's traditional specialties, such as stage performance, stage background, and costumes. The purpose of this study is to investigate the characters and the costume characteristics of the Peking Opera to present fashion design. This research is meaningful for spreading the Peking Opera to the world by applying China's traditional costumes to fashion design. Based on the cultural background of the Peking Opera and the analysis of the opera costume, four sets of women's clothes were made by using the traditional Chinese elements. The conclusions are as follows. First, traditional features such as patterns, colors, and styles from Peking Opera costumes were used in fashion design. The colors and patterns use Chinese traditional aesthetics to carry out contemporary fashion design and apply creative materials. Second, the neoprene used to create the items is a material suitable for the modern design of the traditional Peking Opera costumes. Neoprene has good elasticity and can be cut and sewn in a variety of ways. It can also satisfy the three-dimensional atmosphere and rich morphological changes found in Peking Opera costumes. In addition, a combination of thin chiffon and mesh materials is also suitable for the development of modern designs. Finally, in order to show the effects of traditional works, the patterns were finished by hand-painting. The hand-painted works were then scanned and printed on the material by the digital printing techniques. At the conclusion, the traditional features and feelings of the contemporary designs were presented.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.36 no.5
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• pp.105-116
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• 2020

In this study, the royal protocols of the Joseon Dynasty, known as uigwes, were reviewed to clarify the materials and structure of Korean traditional walls. For this, the Yeonggeon-and Sanreng-uigwes were thoroughly reviewed, and then the names, materials, and construction methods of the traditional walls were systematically organized. In addition, mix proportions of plastering materials used in the walls were estimated based on the records in the uigwes; these were compared with the ratios specified in the current specifications. As a result of the comprehensive review, it was found that the mix proportions of the plastering materials varied depending on importance of buildings, type of walls, and the raw materials. Based on this, it was concluded that the characteristics of each uigwe should be considered when studying the mix proportion of materials for the traditional walls. It was also found that there were differences between the traditional and modern specifications for the wall constructions. That is, historical records and the specifications currently used were different in terms of constituent materials, construction methods and mix proportions. As a cause of the difference, the disconnection of the traditional methods and the introduction of foreign plastering techniques during the rapid social change in the 20th century were suggested.

• Journal of architectural history
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• v.20 no.4
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• pp.81-94
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• 2011

The purpose of the study, approaching from the aspect of the construction technologies, is to determine the architectural techniques of traditional wood architects in existence, through which the systems and techniques that create the inherent characteristics of Korean architecture are clarified. With understanding traditional construction system and focusing on the fact that built environment results from the consistent standards and technologies of architects, this study inquires into the systematic standard and its formation that present in the process of planning for the overall scale and shape of a building from the study determines dimension of structural members. All the members that constitute the structure are trimmed in advance and assembled in a short period of time on the site. Because of that, the dimensions for trimming and assembling are predetermined according to designated standards in the planning process, therefore consistent standard of computation are in necessity to design shapes and sizes of enormous amount of structural members. This study also shows the standards of measurement employed by architects while planning for structural members of a building, and how the size and range of its composition are developed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.3
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• pp.1231-1245
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• 2015

People have transferred their business model from traditional commerce to e-commerce in recent decades. Both shopping and payment can be completed through the Internet and bring convenience to consumers and business opportunities to industry. These trade techniques are mostly set up based on the Secure Sockets Layer (SSL). SSL provides the security for transaction information and is easy to set up, which makes it is widely accepted by individuals. Although attackers cannot obtain the real content even when the transferred information is intercepted, still there is risk for online trade. For example, it is impossible to prevent credit card information from being stolen by virtual merchant. Therefore, we propose a new mechanism to solve such security problem. We make use of the disposable dynamic security code (DSC) to replace traditional card security code. So even attackers get DSC for that round of transaction, they cannot use it for the next time. Besides, we apply visual secret sharing techniques to transfer the DSC, so that interceptors cannot retrieve the real DSC even for one round of trade. This way, we can improve security of credit card transaction and reliability of online business. The experiments results validate the applicability and efficiency of the proposed mechanism.