• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.169-172
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• 2021

The article discusses the results of a quantitative analysis of open educational resources in the field of information technology. Study is based on a study of the content of ten platforms that provide access to open resources (OPs). To achieve this goal, we used the following methods: theoretical analysis and generalization of Internet sources to determine the popularity of educational platforms and resources on them; quantitative data analysis to determine the relative proportion of IT courses in various parameters: the relative weight of courses in the IT field in general and on each platform in particular, the language of instruction, the quantitative content by thematic areas. The following platforms providing access to open educational resources were subjected to quantitative analysis: Coursera, Edx, Udemy, MIT OpenCourseWare, OpenLearn, Intuit, Prometheus, UoPeople, Open Learning Initiative, Maidan Open University.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• 제47권1호
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• pp.3-14
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• 2021

Excessive gingival display is an esthetic issue that is commonly managed by different procedures. Lip repositioning is a modality to address concerns of affected patients. The aim of this review was to investigate the scientific evidence on outcomes and long-term stability of lip repositioning surgery with or without myotomy. The electronic search was conducted in three databases: MEDLINE, Embase, and the Cochrane Library up to October 2019. No publication status, language, or time restrictions were applied. The electronic search was complemented by a manual search of the reference lists. Three hundred thirty-eight studies were screened by title, and 16 articles remained for data extraction. The included studies assessed the lip repositioning procedure in 144 patients aged between 15-59 years (134 females and 10 males). Based on the available data, lip repositioning with myotomy/muscle containment can be a successful treatment for minor discrepancies in gingival display in selected cases. However, further well-organized controlled clinical trials are recommended to derive a conclusion about the long-term stability compared with other alternatives.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2013년도 춘계학술발표대회
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• pp.476-477
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• 2013

Gadget-2 is a scientific simulation code has been used for many different types of simulations like, Colliding Galaxies, Cluster Formation and the popular Millennium Simulation. The code is parallelized with Message Passing Interface (MPI) and is written in C language. There is also a Java adaptation of the original code written using MPJ Express called Java Gadget. Java Gadget writes a lot of checkpoint data which may or may not use the HDF-5 file format. Since, HDF-5 is MPI-IO compliant, we can use our MPJ-IO library to perform parallel reading and writing of the checkpoint files and improve I/O performance. Additionally, to add reliability to the code execution, we propose the usage of Hadoop Distributed File System (HDFS) for writing the intermediate (checkpoint files) and final data (output files). The current code writes and reads the input, output and checkpoint files sequentially which can easily become bottleneck for large scale simulations. In this paper, we propose Sim-Hadoop, a framework to leverage HDFS and MPJ-IO for improving the I/O performance of Java Gadget code.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.137-142
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• 2021

Machine-learning systems have proven their worth in various industries, including healthcare and banking, by assisting in the extraction of valuable inferences. Information in these crucial sectors is traditionally stored in databases distributed across multiple environments, making accessing and extracting data from them a tough job. To this issue, we must add that these data sources contain sensitive information, implying that the data cannot be shared outside of the head. Using cryptographic techniques, Privacy-Preserving Machine Learning (PPML) helps solve this challenge, enabling information discovery while maintaining data privacy. In this paper, we talk about how to keep your data mining private. Because Data mining has a wide variety of uses, including business intelligence, medical diagnostic systems, image processing, web search, and scientific discoveries, and we discuss privacy-preserving in deep learning because deep learning (DL) exhibits exceptional exactitude in picture detection, Speech recognition, and natural language processing recognition as when compared to other fields of machine learning so that it detects the existence of any error that may occur to the data or access to systems and add data by unauthorized persons.

• International Journal of Computer Science & Network Security
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• 제22권1호
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• pp.225-233
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• 2022

The recent outbreak of corona virus (COVID-19) infectious disease had made its forecasting critical cornerstones in most scientific studies. This study adopts a machine learning based time series model - Auto Regressive Integrated Moving Average (ARIMA) model to forecast COVID-19 confirmed cases in Botswana over 60 days period. Findings of the study show that COVID-19 confirmed cases in Botswana are steadily rising in a steep upward trend with random fluctuations. This trend can also be described effectively using an additive model when scrutinized in Seasonal Trend Decomposition method by Loess. In selecting the best fit ARIMA model, a Grid Search Algorithm was developed with python language and was used to optimize an Akaike Information Criterion (AIC) metric. The best fit ARIMA model was determined at ARIMA (5, 1, 1), which depicted the least AIC score of 3885.091. Results of the study proved that ARIMA model can be useful in generating reliable and volatile forecasts that can used to guide on understanding of the future spread of infectious diseases or pandemics. Most significantly, findings of the study are expected to raise social awareness to disease monitoring institutions and government regulatory bodies where it can be used to support strategic health decisions and initiate policy improvement for better management of the COVID-19 pandemic.

• International Journal of Computer Science & Network Security
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• 제21권11호
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• pp.368-372
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• 2021

The article identifies the features of the digital culture of modern society in the dynamics of its impact on the education sector, identifies the main directions of digitalization education, an objective analysis is presented, the possibilities of examination as a scientific assessment are determined "Digital reforms" of education, the role of traditional values of educational culture in expertise and improvement digital innovations in the education system, identified the main contradictions in the development of digital culture, to determine the directions of its improvement. The article describes the three main components of information technology as a complex of hardware, software and a system of organizational and methodological support; the description of analog and digital information technologies is presented. The authors list the most common multifunctional office applications and IT tools; the advantages of using IT in the educational process are highlighted.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2010년도 추계학술발표대회
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• pp.1784-1787
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• 2010

General Purpose Graphic Processing Unit (GPGPU) computing is a technique that utilizes the high-performance many-core processors of high-end graphic cards for general-purpose computations such as 3D graphics, video/image processing, computer vision, scientific computing, HPC and many more. GPGPUs offer a vast amount of raw computing power, but programming is extremely challenging because of hardware idiosyncrasies. The open computing language (OpenCL) has been proposed as a vendor-independent GPGPU programming interface. OpenCL is very close to the hardware and thus does little to increase GPGPU programmability. In this paper we present how a set of digital camera image signal processing (ISP) filters can be realized efficiently on GPGPUs using OpenCL. Although we found ISP filters to be memory-bound computations, our GPGPU implementations achieve speedups of up to a factor of 64.8 over their sequential counterparts. On GPGPUs, our proposed optimizations achieved speedups between 145% and 275% over their baseline GPGPU implementations. Our experiments have been conducted on a Geforce GTX 275; because of OpenCL we expect our optimizations to be applicable to other architectures as well.

• 한국아프리카학회지
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• 제43권
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• pp.89-111
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• 2014

This article deals with the characteristics and limitations of Edwin W. Smith's study of African religions. He was born as son of British Primitive Methodist missionary in South Africa, 1876. He was trained to become a Bible translator. After marriage he moved to Africa with his wife and translated the Bible into the Ila language. Most Western missionaries despised African cultures and religions, but Smith proposed a new way to study African cultures and religions on the anthropological basis of respect and understanding. Though he kept the mission mind to convert Africans to Christians and supported the fulfillment theology, he accepted the values and significance of African religions. With scientific and object approaches, Smith regarded Africans as rational and philosophical human beings. He rejected the traditional concept of mission that Western form of Christianity should be forced upon the mind and heart of Africans. Rather Smith encouraged Africans to build up their own churches and theologies with creative and dynamic worldviews including magic, Dynamism, Spiritism, ancestor worship and the faith to the Supreme Being. In conclusion, despite his limitations as missionary, Smith has been remembered as 'the founder of African Studies' and 'the ancestor of British phenomenological school.' His missionary experience became the solid foundation for becoming scholar of African religions.

• 인지과학
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• 제4권1호
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• pp.153-176
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• 1993

구조적 모호성은 자연 언어 문장을 분석할 때 흔히 나타내는 문제점 중의 하나로,지금까지 이문제의 해결은 대단히 어려운 것으로 인식되어 왔다.그러나,구조적 모호성을 해소하지 않고 올바른 언어 처리를 한다는 것은 사실상 불가능하다.본 논문에서는 이 문제에 대하여 정보 이론적(information-theoretic)개념인 상호 정보(mutual information)를 이용한 통계적 접근방법을 제안한다.상호정보는 말 뭉치로 부터 자동 습득이 가능하므로 지식습득속도가 대단히 빠를뿐만 아니라 지속적인 지식습득이 가능하다. 구조적 모호성 해소는 물론 모호성 해소 결과의 옳고 그름을 스스로 판단할수 있는 능력을 부여할수 있다면 보다 지능적인 시스템을 개발하는데 도움이 될것이다.본 논문에서는 그와 같은 지적 능력을 부여한느데 필요한 확신도(congidence measure) 개념도 또한 제시한다.확신도는 구조적 모호성을 해소하고 난 후에 계산되는 수치로서,구조적 모호성이 올바르게 해소되었을 가능성이 높으면 높을수록 그 값이 커지는 성질을 가지고 있다. 본 논문에서 제시한 구조적 모호성 해소 알고리즘의 타당성을 검증하기 위하여 이공계 논문 초록으로부터 발췌된 약 160만 단어의 말뭉치로부터 상호 정보를 자동 습득하고 이를 이용하요,1,639개의 문장에 대하여 구조적 모호성을 해소하는 실험을 하였다. 실험결과 구조적 모호성 해소 정화도는 약 80%로 나타났다.확신도 개념을 이용할 경우 구조적 모호성 해소가 잘못된 문장을 찾아 정정하는 작업을 매우 효과적으로 진행할 수 있었다.

• 한국의상디자인학회지
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• 제8권1호
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• pp.111-125
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• 2006

This study measured and analyzed musical sense objectively, and visualized it to express visual effects as if watching music with the eye. For the visualization of music, we examined the concept of synesthesia and the correlation between hearing and seeing, and reviewed theoretical grounds and a number of cases necessary in reproducing musical sense visually based on synesthetic expression. Furthermore, we studied the visual elements and associated colors of rhythm to prove that visual conception of music through various approaches enable a transitional approach to aesthetic exploration and interpretation. The conclusions drawn from this research are as follows. First, classic music selected for visualization had musical characteristics highly correlated with dress design. Second, basic formative elements suggested as materials of visualization in this study were suitable in their form for expressing the rhythmic sense of music and, because they started from the most basic form, they were effective in extracting design elements. Third, when the result of the questionnaire survey, which was focused on the visualization of the rhythmic sense of the five pieces of classic music, was analyzed from the aspect of sensibility ergonomics, design elements of each piece of music were obtained in an objective and scientific way. Fourth, it was confirmed that common concepts could be derived from intangible elements such as forms and sounds observed in the rhythmic sense of music obtained from the result of the questionnaire survey. Fifth, works were made based on the results of this study and, according to the result, musical images can express sense through dress design and obtain visual effects as if watching music with the eye. Dress desist through the visualization of music in this study was an attempt to suggest that the language of music can be expressed in dress design, a visual formative language, based on synesthetic expression. Through this attempt, we confirmed the infinity of music as motives of dress design and suggested a method of aesthetic expression demanded in contemporary society that is pursuing aesthetic values.