• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.310-314
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• 2022

Digitalization affects not only the content of education, but also its organization. These processes have ambiguous implications for the positioning of both universities and teaching staff. The necessary competencies are often acquired outside the walls of educational institutions, because educational programs often do not keep pace with the dynamics of technology. The teacher turns from a bearer of transmitted knowledge and skills into a navigator that helps to navigate the knowledge bases. All these issues are especially acute in relation to the reform of the higher education system in the context of pandemic consequences. The article examines and analyzes the features of the transformation of higher education in the context of a pandemic that faced the world in 2020. It has been proved that the processes of changes and transformations that the higher education system is going through both in an individual country and throughout the world should be defined as transformation, not modernization, reform or transformation.

• The Bulletin of The Korean Astronomical Society
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• v.38 no.2
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• pp.40.1-40.1
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• 2013

We perform a set of N-body/SPH simulations of galaxy interactions between early- and late-type galaxies with the mass ratio of 2 to 1. We show that mass transfer during a fly by interaction (the closest approach distance ~50kpc) can cause the morphology transformation of an early-type galaxy to a late type. In our simulations, we vary the orbital parameters of the interactions and the cold gas fraction of the late-type galaxy to compare how the morphology transformation is affected by the amount of mass transfer and orbital angular momentum of cold gas accreted to the early type. We also include hot halo gas in the galaxy models and show the location of the tidal bridge can be influenced by the shock generated during the collision.

• Journal of Plant Biotechnology
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• v.7 no.2
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• pp.113-121
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• 2005

The objective of this study was to identify the major parameters controlling DNA delivery by particle bombardment to immature embryos of Chinese spring wheat (Triticum aestivum L.). Efficiency of DNA (uidA gene) delivery was assessed by transient GUS (${\beta}$-glucuronidase) expression in bombarded tissues. Of the parameters analyzed, acceleration pressure, bombardment distance, chamber vacuum pressure, bombardment times, osmotic conditioning of culture had a remarkable influence on transient gene expression. A bombardment procedure suitable for Chinese spring wheat cultivars was developed which allowed high-efficiency DNA delivery combined with reduced damage to target tissues. The high efficiency made the system practical for wheat genetic transformation research and accelerating wheat breeding programs.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.50 no.2
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• pp.195-206
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• 2017

Joint time-frequency images of the broadband echo signals of six fish species were obtained using the smoothed pseudo-Wigner-Ville distribution in controlled environments. Affine transformation and principal component analysis were used to obtain eigenimages that provided species-specific acoustic features for each of the six fish species. The echo images of an unknown fish species, acquired in real time and in a fully automated fashion, were identified by finding the smallest Euclidean or Mahalanobis distance between each combination of weight matrices of the test image of the fish species to be identified and of the eigenimage classes of each of six fish species in the training set. The experimental results showed that the Mahalanobis classifier performed better than the Euclidean classifier in identifying both single- and mixed-species groups of all species assessed.

• The KIPS Transactions:PartB
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• v.12B no.5 s.101
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• pp.527-534
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• 2005

Rotation and scale variations make it difficult to solve the problem of shape description and recognition because these variations change the location of points composing the shape. However, some geometric Invariant points and the relations among them are not changed by these variations. Therefore, if points in image space depicted with the r-y coordinates system can be transformed into a new coordinates system that are invariant to rotation and scale, the problem of shape description and recognition becomes easier. This paper presents a shape description method via transformation from the image space into the invariant feature space having two axes: representing relative distance from a centroid and contour segment curvature(CSC). The relative distance describes how far a point departs from the centroid, and the CSC represents the degree of fluctuation in a contour segment. After transformation, mesh features were used to describe the shape mapped onto the feature space. Experimental results show that the proposed method is robust to rotation and scale variations.

• Applied Biological Chemistry
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• v.39 no.4
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• pp.260-264
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• 1996

Process of particle bombardment for efficient transformation of Cymbidium virescence rhizome microcross sections was investigated using Biolistic particle delivery system with pBI121 harboring the ${\beta}-glucuronidase$(GUS) and the neomycin phosphotransferaseII(nptII). The best result was obtained from the combination of $1.11{\;}{\mu}m$ tungsten particles coated with pBl121, $77.33kg/cm^2$ helium pressure, 6.35 mm gap distance, and 7.0 cm target distance. Transient expression of the reporter gene, GUS, bombarded into the rhizome microsections was observed by the histochemical assay. The marker gene, nptII, delivered by bombarding the tungsten particles coated with the plasmid DNA was identified in the transformed rhizome by polymerase chain reaction.

• The KIPS Transactions:PartA
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• v.11A no.5
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• pp.391-400
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• 2004

Within multimodal medical image registration techniques, which correlate different images and Provide integrated information, surface registration methods generally minimize the surface distance between two modalities. However, the features of two modalities acquired from one subject are similar. So, it can improve the accuracy of registration result to match two images based on optimization of both surface distance and shape feature. This research proposes a registration method which optimizes surface distance and surface curvature of two brain modalities. The registration process has two steps. First, surface information is extracted from the reference images and the test images. Next, the optimization process is performed. In the former step, the surface boundaries of regions of interest are extracted from the two modalities. And for the boundary of reference volume image, distance map and curvature map are generated. In the optimization step, a transformation minimizing both surface distance and surface curvature difference is determined by a cost function referring to the distance map and curvature map. The applying of the result transformation makes test volume be registered to reference volume. The suggested cost function makes possible a more robust and accurate registration result than that of the cost function using the surface distance only. Also, this research provides an efficient means for image analysis through volume visualization of the registration result.

• Journal of Industrial Technology
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• v.23 no.A
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• pp.83-92
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• 2003

The previous control point surveying, being standardized by trigonometric point which hasn't been unified in the whole country and producing put into operation through complex calculation process, has many problems about accurate results and economic side. Because most of trigonometric points that standardize a present surveying are in situation in top of the mountain, there are many difficulties in solving sight problems. Since trigonometric points are far away from one another, Differences are created because of limitation of point distance, observatory network construction and distribution of error. In the information age, the study about acquiring three dimension surveying information that uses GPS has been processed as fast as acquiring topography information is getting important gradually. For utilizing GPS in surveying work, deciding transformation 7-Parameters that changes data about location information which is received by GPS receiver is important. In this study, it is decided transformation 7-Parameters that can be used in ka-pyoung area by using GPS surveying production that had put into operation.

• Journal of the Korean Institute of Landscape Architecture
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• v.23 no.1
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• pp.157-173
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• 1995

Seowons were first established during the Koryo Dynasty and contain primate shrines for the service of ancestors and ancient sages. Seowons were located in a scenic or rural place some distance from a residential area. The direct motive for building the Seowon came from the need for transcendental concealment and evasive retirement which developed as a result of oppression of scholars The indirect motivations were the development of loaming in an idyllic natural settings and the creation of a beautiful natural environment. he purpose of tai study is to investigate the characteristics and transformation process of the location of Seowon in the Chosen dynasty. The results of this research are summarized as fellows : 1. Seowons were in hilly areas with good geographical features including a nice view of the mountains and waters. Beowons were also built on the relation place of an ancient sage and of destroyed Buddist temples. 2. The location patterns of seowon in the Choson dynasty underwent three stages with the change of time Political and social phenomena influenced the transformation of the location patterns Research in this area is at an early stage. The present study was confined to an examination of 7he characteristics and transformation process of the location of seowons. However, it is hoped that this study will offer meaningful guide for further research.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.3981-4004
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• 2019

This paper proposes a novel method for locating objects in real space from a single remote image and measuring actual distances between them by automatic detection and perspective transformation. The dimensions of the real space are known in advance. First, the corner points of the interested region are detected from an image using deep learning. Then, based on the corner points, the region of interest (ROI) is extracted and made proportional to real space by applying warp-perspective transformation. Finally, the objects are detected and mapped to the real-world location. Removing distortion from the image using camera calibration improves the accuracy in most of the cases. The deep learning framework Darknet is used for detection, and necessary modifications are made to integrate perspective transformation, camera calibration, un-distortion, etc. Experiments are performed with two types of cameras, one with barrel and the other with pincushion distortions. The results show that the difference between calculated distances and measured on real space with measurement tapes are very small; approximately 1 cm on an average. Furthermore, automatic corner detection allows the system to be used with any type of camera that has a fixed pose or in motion; using more points significantly enhances the accuracy of real-world mapping even without camera calibration. Perspective transformation also increases the object detection efficiency by making unified sizes of all objects.