• International Journal of Computer Science & Network Security
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• 제22권3호
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• pp.245-251
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• 2022

In the context of the pandemic, educational institutions had to ensure an instant transition to remote technological models of communication within the new conditions of the educational environment. The purpose of the academic paper lies in determining the role of the communicative model of educational transformations in the realities of (post) modernity. The research methodology is based on a survey of 120 students from 10 higher educational institutions (HEIs) of Ukraine through an online form regarding the importance of live communication during a pandemic. Results. The communicative model changed significantly during the pandemic - the interaction was mainly due to technologies. The research has identified four communication models of educational transformations under the conditions of the pandemic, depending on learning models. The first traditional model of distance learning involves distance learning; the second model involves contact remote training using remote educational technologies; the third model is blended learning, which combines remote and traditional learning formats, synchronous and asynchronous modes of interaction; the fourth model is traditional contact training. The empirical study of the effectiveness of communication models proves that live communication remains extremely important for learning and understanding of educational materials by students, and technology has provided support for such communication. Along with this, seminars and video lectures with presentations combining live communication and communication technologies are as important as digital learning tools. The most effective teaching method for mastering and memorizing educational material was a live dialogue with a teacher at seminars in ZOOM, followed by individual written assignments on the studied topic.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.178-186
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• 2024

While in high-income countries the development of digital technology began in the 1970s, in low- and middle-income countries it began in the 1990s and even after 2005, due to the political regime that constrained economic development and innovation. At the same time, there are no studies of the relationship between technological development and structural changes through innovation in low- and middle-income countries. The article aims to quantify the relationship of the introduction of digital technologies on innovation, structural transformation of low- and middle-income economies. The industrial-agrarian economy of Uzbekistan with an authoritarian regime is in a state of transition to a market economy, while in Ukraine, there are active processes of Europeanization and integration into the EU. Ukraine's economy is commodity-based (the export of raw materials of industries and the agricultural sector in developed countries predominates) and industrial-agrarian. Digital technologies and the service sector are little developed in Uzbekistan. On the other hand, Ukraine has a more developed ICT sector. Uzbekistan is gradually undergoing an innovative and structural transformation of the economy: the productivity of the agricultural, industrial, and service sectors is growing, but the ICT sector is virtually undeveloped. In comparison, in Ukraine, there are no significant structural transformations due to a significant drop in productivity of the industrial sector, with stable growth of productivity of the agricultural sector due to technology and a slight increase in productivity of the service sector. It is revealed that Ukraine and Uzbekistan have undergone structural transformations of the economy in favor of the service sector, while the agricultural and industrial sectors produce less and less. If Uzbekistan remains the industrial-agrarian country with an aggregate share of the added value of these sectors 59% in 2019, Ukraine transits to the post-industrial type of economy where the added value of the service sector in GDP grows (55% compared to agrarian and industrial sectors at 42%).

• 한국멀티미디어학회논문지
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• 제17권9호
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• pp.1070-1075
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• 2014

Due to a number of illegal copied videos, many video content markets have been threatened. Since this copied videos have intercepted the profits of the content holders, content developers lose the will to generate new contents. Therefore, video copy detection approaches have been developed to protect the copyrights of video contents. However, many illegal uploader who generate copied videos used video transformations to avoid video copy detection systems. Among of the video transformations, rotation and flipping did not distorted the quality of video contents. Thus, these two video transformations were adopt to generate copied video. In order to detect rotated or flipping copy videos, rotation and flipping robust region binary pattern (RFR) recently was proposed. But, this RFR has a weakness according to rotated angles. Therefore, in order to overcome this problem, multi region binary patterns are proposed in this paper. The proposed method has the similar performance with the original RFR. But, it showed much higher efficiency for memory spaces.

• 한국정보처리학회논문지
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• 제2권6호
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• pp.831-838
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• 1995

움직이는 3차원 물체를 화면상에 디스플레이하기 위해서는 많은 기하학적 연산을 필요로 하는데 CAD나 애니메이션 응용에서는 가능한한 빠른 속도로 변환을 수행하는 것이 중요한 문제이다. 8진트리로 표현된 3차원 영상의 기하학적 변환을 수행하기 위한 기존의 방법은 8진트리의 모든 노드에 변환 행렬연산을 적용함으로써 가능하였다. 본 논문에서는 8진트리로 표현된 3차원 영상의 기하학적 변환을 효율적으로 수행하기 위하여 8진트리의 각 노드에 기본벡터를 이용하여 직각좌표로 변환시키는 효율적인 방법을 제안한다. 본 논문의 공식을 이용하면 기하학적변환을 위한 행렬 연산을 기본 벡터에만 적용하면 되고, 덧셈과 2의 지수에 의한 곱셈 연산만이 소요된다.

• Journal of Electrical Engineering and Technology
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• 제10권4호
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• pp.1886-1898
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• 2015

In today’s era of advanced technological developments, the threats to the authenticity and integrity of digital images, in a nutshell, the threats to the Image Forensics Research communities have also increased proportionately. This happened as even for the ‘non-expert’ forgers, the availability of image processing tools has become a cakewalk. This image forgery poses a great problem for judicial authorities in any context of trade and commerce. Block matching based image cloning detection system is widely researched over the last 2-3 decades but this was discouraged by higher computational complexity and more time requirement at the algorithm level. Thus, for reducing time need, various dimension reduction techniques have been employed. Since a single technique cannot cope up with all the transformations like addition of noise, blurring, intensity variation, etc. we employ multiple techniques to a single image. In this paper, we have used Fuzzy logic approach for decision making and getting a global response of all the techniques, since their individual outputs depend on various parameters. Experimental results have given enthusiastic elicitations as regards various transformations to the digital image. Hence this paper proposes Fuzzy based cloning detection and classification system. Experimental results have shown that our detection system achieves classification accuracy of 94.12%. Detection accuracy (DAR) while in case of 81×81 sized copied portion the maximum accuracy achieved is 99.17% as regards subjection to transformations like Blurring, Intensity Variation and Gaussian Noise Addition.

• Journal of Computing Science and Engineering
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• 제3권1호
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• pp.27-58
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• 2009

Aggregation join queries are an important class of queries over data streams. These queries involve both join and aggregation operations, with window-based joins followed by an aggregation on the join output. All existing research address join query optimization and aggregation query optimization as separate problems. We observe that, by putting them within the same scope of query optimization, more efficient query execution plans are possible through more versatile query transformations. The enabling idea is to perform aggregation before join so that the join execution time may be reduced. There has been some research done on such query transformations in relational databases, but none has been done in data streams. Doing it in data streams brings new challenges due to the incremental and continuous arrival of tuples. These challenges are addressed in this paper. Specifically, we first present a query processing model geared to facilitate query transformations and propose a query transformation rule specialized to work with streams. The rule is simple and yet covers all possible cases of transformation. Then we present a generic query processing algorithm that works with all alternative query execution plans possible with the transformation, and develop the cost formulas of the query execution plans. Based on the processing algorithm, we validate the rule theoretically by proving the equivalence of query execution plans. Finally, through extensive experiments, we validate the cost formulas and study the performances of alternative query execution plans.

• 전자공학회논문지C
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• 제36C권3호
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• pp.1-7
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• 1999

본 연구에서는 파이프라인 구조를 갖는 시스템의 효율적인 설계를 위하여 변환을 이용한 설계 최적화 기술을 개발하였다. 변환 최적화 기술은 파이프라인 구조로의 변환과 retiming을 이용한 변환을 포함한다. 새로운 변환 방법은 다음의 세 가지 특징을 갖는다. 첫째, 여러 개의 파이프라인 블록을 동시에 고려하여 retiming 등의 변환을 수행함으로써, 파이프라인 구조 시스템의 전체 성능을 최적화한다. 둘째, 시스템의 면적과 수행시간 간의 trade-off를 가능하도록 하여, 회로 설계자가 다양한 설계의 대안을 찾고자 할 때 실용적인 도움을 준다. 셋째, 본 방법은 새로운 변환 및 알고리즘 개발 등의 문제로 쉽게 확장 가능하고, 메모리 또는 버스 등을 고려한 최적화 문제에도 사용될 수 있다. DSP 예제들에 대하여 실험한 결과, 평균적으로 면적은 21%, 성능은 17% 개선되었다. 특히, 본 기술은 여러 설계 대안의 효율적인 탐색에 유용하다.

• 천문학회보
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• 제35권2호
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• pp.39.1-39.1
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• 2010

We study the effects of the cluster environment on galactic morphology by defining a dimensionless angular momentum parameter ld, to obtain a quantitative and objective measure of galaxy type. The use of this physical parameter allows us to take the study of morphological transformations in clusters beyond the measurements of merely qualitative parameters, e.g. S/E ratios, to a more physical footing. To this end, we employ an extensive SDSS sample, with galaxies associated with Abell galaxy clusters. The sample contains 93 relaxed Abell clusters and over 34,000 individual galaxies. We find that the median ld value tends to decrease as we approach the cluster center, with different dependences according to the mass of the galaxies and the hosting cluster; low and intermediate mass galaxies showing a strong dependence, while massive galaxies seems to show, at all radii, low ld values. By analysing trends in ld as functions of the nearest galactic neighbour environment, clustercentric radius and velocity dispersion of clusters, we can identify clearly the leading physical processes at work. We find that in massive clusters (s > 700 km/s), the interaction with the cluster central region dominates, whilst in smaller clusters galaxy-galaxy interactions are chiefly responsible for driving galactic morphological transformations.

• 대한전자공학회논문지SD
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• 제47권2호
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• pp.51-59
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• 2010

드모르간 및 재대입 논리변환은 unate gate network (UGN)을 보다 일반적인 balanced inversion parity (BIP) network으로 전환하는데 충분하다. 이러한 회로계층에 대해서도 자세히 논의하고 있다. 우리는 드모르간 및 재대입 논리변환이 경로지연고장 테스트집합을 유지한다는 것을 증명하였다. 본 논문의 결과를 이용하여 함수 z를 구현하는 모든 UGN에서 모든 경로지연고장을 검출하는 상위수준 테스트집합은 함수 z의 어떠한 BIP realization에서도 모든 경로지연고장을 검출한다는 것을 보일 수 있다.

• Communications for Statistical Applications and Methods
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• 제30권2호
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• pp.163-178
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• 2023

GARCH-X(1, 1) model specifies that conditional variance follows an AR(1) process and includes a past exogenous variable. This study proposes a new class from that model by allowing a more general (non-linear) variance function to follow an AR(1) process. The functions applied to the variance equation include exponential, Tukey's ladder, and Yeo-Johnson transformations. In the framework of normal and student-t distributions for return errors, the empirical analysis focuses on two stock indices data in developed countries (FTSE100 and SP500) over the daily period from January 2000 to December 2020. This study uses 10-minute realized volatility as the exogenous component. The parameters of considered models are estimated using the adaptive random walk metropolis method in the Monte Carlo Markov chain algorithm and implemented in the Matlab program. The 95% highest posterior density intervals show that the three transformations are significant for the GARCHX(1, 1) model. In general, based on the Akaike information criterion, the GARCH-X(1, 1) model that has return errors with student-t distribution and variance transformed by Tukey's ladder function provides the best data fit. In forecasting value-at-risk with the 95% confidence level, the Christoffersen's independence test suggest that non-linear models is the most suitable for modeling return data, especially model with the Tukey's ladder transformation.