• Tunnel and Underground Space
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• v.7 no.4
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• pp.274-283
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• 1997

It is necessary to estimate the soundness of tunnel using non-destructive tests(NDT) for effective repairs and maintenances. But, the state of tunnel lining could not be investigated using previous non-destructive techniques, due to the various types of support and accessibility only from one side in tunnel lining. Recently, the various non-destructive techniques such as ground penetrating radar(GPR) have been researched and developed for inspection of tunnel lining. In this study, the usefulness and applicability of GPR test in tunnel lining inspection has been investigated through model tests and tunnel site application. This paper described the tunnel lining inspection for lining thickness, cavity and support using GPR test. From the results of tests, we have concluded that GPR test are very useful and effective techniques to look into the interior of lining and measure the lining thickness.

• The Transactions of the Korea Information Processing Society
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• v.3 no.4
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• pp.757-765
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• 1996

View index techniques are proposed to process queries on views. Signature referencing techniques keep pointers with signatures of the referred object when there is any reference relationship between objects. When queries having conditions on referred object are give, disk I/Os can be reduced by checking conditions using stored signatures. Signature view index techniques proposed in this paper apply signature referencing techniques to view index by keeping not only tuple identifiers but also signatures for the tuple. When queries having conditions on views regiven, we can retrieve only tuples from a view index which satisfy given conditions by checking those with stored signatures.

• PNF and Movement
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• v.14 no.1
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• pp.15-21
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• 2016

Purpose: The purpose of the present study was to compare the effects of both general hold-relax techniques and hold-relax techniques using pumping on pain due to delayed muscle pain and on the range of motion (ROM) of joints. Methods: Thirty-nine young adult males and females were randomly assigned either to a hold-relax technique application group of 20 subjects or to a group of 19 subjects with hold-relax techniques applied using a pumping application. Tenderness thresholds, the ROM of joints, and pain intensities were measured on the biceps of the nondominant arm of the subjects in both groups before exercises were performed to induce delayed muscle pain. Tenderness thresholds were again measured 24hours, 48hours, and 72 hours after inducing delayed muscle pain. The relevant intervention methods were applied to the two groups after conducting the measurement at 48hours. As a statistical analysis method, repeated measure ANOVAs were conducted to examine the tenderness thresholds, ROMs of elbow joints, and pain intensities in the individual groups at the time points. Results: At 48 hours and 72 hours after application of the interventions, the general hold-relax technique application group showed greater changes in the tenderness thresholds, the ROMs of elbow joints, and the pain intensities than did the group applying hold-relax techniques using a pumping application (p>0.05). Conclusion: Based on the results of the present study, the application of hold-relax techniques is thought to have beneficial effects on pain resulting from delayed muscle pain and on limited ROMs of joints.

• International Journal of Computer Science & Network Security
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• v.23 no.7
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• pp.155-164
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• 2023

Machine learning with its high precision algorithms, Precision agriculture (PA) is a new emerging concept nowadays. Many researchers have worked on the quality and quantity of PA by using sensors, networking, machine learning (ML) techniques, and big data. However, there has been no attempt to work on trends of artificial intelligence (AI) techniques, dataset and crop type on precision agriculture using internet of things (IoT). This research aims to systematically analyze the domains of AI techniques and datasets that have been used in IoT based prediction in the area of PA. A systematic literature review is performed on AI based techniques and datasets for crop management, weather, irrigation, plant, soil and pest prediction. We took the papers on precision agriculture published in the last six years (2013-2019). We considered 42 primary studies related to the research objectives. After critical analysis of the studies, we found that crop management; soil and temperature areas of PA have been commonly used with the help of IoT devices and AI techniques. Moreover, different artificial intelligence techniques like ANN, CNN, SVM, Decision Tree, RF, etc. have been utilized in different fields of Precision agriculture. Image processing with supervised and unsupervised learning practice for prediction and monitoring the PA are also used. In addition, most of the studies are forfaiting sensory dataset to measure different properties of soil, weather, irrigation and crop. To this end, at the end, we provide future directions for researchers and guidelines for practitioners based on the findings of this review.

• Interdisciplinary Bio Central
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• v.4 no.3
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• pp.7.1-7.8
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• 2012

With the development of many methods of studying the brain, the field of neuroscience has generated large amounts of information obtained from various techniques: imaging techniques, electrophysiological techniques, techniques for analyzing brain connectivity, techniques for getting molecular information of the brain, etc. A plenty of neuroinformatics databases have been made for storing and sharing this useful information and those databases can be publicly accessed by researchers as needed. However, since there are too many neuroinformatics databases, it is difficult to find the appropriate database depending on the needs of researcher. Moreover, many researchers in neuroscience fields are unfamiliar with using neuroinformatics databases for their studies because data is too diverse for neuroscientists to handle this and there is little precedent for using neuroinformatics databases for their research. Therefore, in this article, we review databases in the field of neuroscience according to both their methods for obtaining data and their objectives to help researchers to use databases properly. We also introduce major neuroinformatics databases for each type of information. In addition, to show examples of novel uses of neuroinformatics databases, we represent several studies that combine neuroinformatics databases of different information types and discover new findings. Finally, we conclude our paper with the discussion of potential applications of neuroinformatics databases.

• Journal of Conservation Science
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• v.25 no.4
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• pp.363-371
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• 2009

This study is purposed to investigate that current rubbing technique could be replaced by the photographic rubbing techniques with the photographic lighting and digital techniques. The lighting technique is based on the "texture description theory" using the electric flash and the intaglio epitaph was emphasized from the observation of the both side because it is purposed to decipher epitaph. The photographs were retouched using the photoshop to emphasize epitaph and the spots from the lichen on the tombstone were softened. Especially, it shows that faint epitaph could be deciphered if the digital techniques could be used practically even though some part of the epitaph was destroyed or peeled. Furthermore, it will help to investigate, protect and restore the cultural properties because it surely makes the recording of the material, weathering, peeling of the tombstone much easier than the current rubbing technique.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.2
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• pp.67-74
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• 2007

The objective of this research is to select the most effective technique among task related techniques(motion & time study, job redesign, physical environment improvement) for improving work efficiency in shipbuilding enterprise. This study consists of several principal steps. The first step is to design critical criteria in evaluating work efficiency in ship-building enterprises. The second step is to develop sub-criteria of the critical criteria. The third step is to develop a four level AHP(Analytic Hierarchy Process) structure using the critical criteria, sub-criteria and techniques among task related techniques. The fourth step is to develop the pairwise comparison matrix at each level of AHP structure, which was based on survey data collected at the H heavy industry. And the last step is to select the most effective technique among task related techniques using AHP analysis. The result of AHP analysis has shown clear difference in priority among task related techniques in terms of work efficiency of the shipbuilding enterprise: The reduction of normal time is more important than the reduction of allowance time in improving of the work efficiency. Motion & time study is the most important technique for the reduction of normal time, and physical environment improvement is the most important technique for the reduction of allowance time as well.

• Journal of Fashion Business
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• v.22 no.1
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• pp.20-40
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• 2018

The purpose of this study is to examine the concept of surrealism and its expression technique and to develop creative and artistic women's coat design based on the analysis of various expression techniques of surrealistic artists and designers. To this end, literature review was done and design and actual works of women's coats were made. Surrealism was applied to fashion by Schiaparelli in the 1930s and it has constantly been applied by many fashion designers. The examples used in fashion were examined by shape of body parts or natural objects, metaphor and transformation of objects, position change and optical illusion. Based on this examination, motifs were drawn from paintings of Rene Magritte, Salvador Dali, Vladimir Kush, and Rafal Olbinski, who most inspired contemporary fashion designers with their works. The creative and artistic sense of five women's coats for 20's and 30's were designed using surrealistic paintings and fashion design expression techniques in a view of social problems. This study has a significance in that it expanded the expression techniques of fashion design and its field with original design which is inspired by surrealistic formativeness and expression technique with social criticism. It is also possible for this study to contribute to the development of fashion design if various designs are presented through grafting various artistic expression techniques onto fashion.

• Nuclear Engineering and Technology
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• v.53 no.12
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• pp.3944-3951
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• 2021

Several reasons such as no free lunch theorem indicate that there is not a universal Feature selection (FS) technique that outperforms other ones. Moreover, some approaches such as using synthetic dataset, in presence of large number of FS techniques, are very tedious and time consuming task. In this study to tackle the issue of dependency of estimation accuracy on the selected FS technique, a methodology based on the heterogeneous ensemble is proposed. The performance of the major learning algorithms of neural network (i.e. the FFNN-BR, the FFNN-LM) in combination with the diverse FS techniques (i.e. the NCA, the F-test, the Kendall's tau, the Pearson, the Spearman, and the Relief) and different combination techniques of the heterogeneous ensemble (i.e. the Min, the Median, the Arithmetic mean, and the Geometric mean) are considered. The target parameters/transients of Bushehr nuclear power plant (BNPP) are examined as the case study. The results show that the Min combination technique gives the more accurate estimation. Therefore, if the number of FS techniques is m and the number of learning algorithms is n, by the heterogeneous ensemble, the search space for acceptable estimation of the target parameters may be reduced from n × m to n × 1. The proposed methodology gives a simple and practical approach for more reliable and more accurate estimation of the target parameters compared to the methods such as the use of synthetic dataset or trial and error methods.

• Korean Journal of Applied Biomechanics
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• v.26 no.1
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• pp.51-69
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• 2016

Objective: The purpose of this study is to suggest new terminology for the ninety-five hand techniques based on the significance of their angular momentum, determined by analyzing each technique's influence or impact on the compartmentalized angular momentum of the trunk, upper arm, and forearm in the Taekwondo Poomsae. Method: An athlete who won the 2014 World Taekwondo Poomsae championship was selected and agreed to participate in the data collection phase of our investigation. The video data was collected using eight infrared cameras (Oqus 300, Qualysis, Sweden) and the Qualisys Track Manager software (Qualisys, Sweden). The angular momentum of each movement was then calculated using the Matlab R2009a software (The Mathworks, Inc., USA). Results: The classification of the ninety-five hand techniques in the Taekwondo Poomsae based on the significance of each segment's momentum is as follows. Makgi (blocking) is classified into fourteen categories, jireugi (punching) is classified into three categories, chigi (hitting) was classified into six categories, palgupchigi (elbow hitting) was classified into four categories, and jjireugi (thrusting) was classified two categories. Conclusion: This study offers a new approach, based on a biomechanical method, to the classification of the hand techniques that reflect kinesthetic motions in the Taekwondo Poomsae.