• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5357-5381
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• 2018

Cloud computing offers a wide range of on-demand resources over the internet. Utility-based resource allocation in cloud data centers significantly increases the number of cloud users. Heavy usage of cloud data center encounters many problems such as sacrificing system performance, increasing operational cost and high-energy consumption. Therefore, the result of the system damages the environment extremely due to heavy carbon (CO2) emission. However, dynamic allocation of energy-efficient resources in cloud data centers overcomes these problems. In this paper, we have proposed Energy and Service Level Agreement (SLA) Aware Resource Allocation Heuristic Algorithms. These algorithms are essential for reducing power consumption and SLA violation without diminishing the performance and Quality-of-Service (QoS) in cloud data centers. Our proposed model is organized as follows: a) SLA violation detection model is used to prevent Virtual Machines (VMs) from overloaded and underloaded host usage; b) for reducing power consumption of VMs, we have introduced Enhanced minPower and maxUtilization (EMPMU) VM migration policy; and c) efficient utilization of cloud resources and VM placement are achieved using SLA-aware Modified Best Fit Decreasing (MBFD) algorithm. We have validated our test results using CloudSim toolkit 3.0.3. Finally, experimental results have shown better resource utilization, reduced energy consumption and SLA violation in heterogeneous dynamic cloud environment.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.9-16
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• 2024

AI or Artificial Intelligence has been a significant tool used in the organisational backgrounds for an effective improvement in the management methods. The processing of the information and the analysis of the data for the further achievement of heightened efficiency can be performed by AI through its data analytics measures. In the medical field, AI has been integrated for an improvement within the management of the medical services and to note a rise in the levels of customer satisfaction. With the benefits of reasoning and problem solving, AI has been able to initiate a range of benefits for both the consumers and the medical personnel. The main benefits which have been noted in the integration of AI would be integrated into the study. The issues which are noted with the integrated AI usage for the medical sector would also be identified in the study. Medical Image Processing has been seen to integrate 3D image datasets with the medical industry, in terms of Computed Tomography (CT) or Magnetic Resonance Imaging (MRI). The usage of such medical devices have occurred in the diagnosis of the patients, the development of guidance towards medical intervention and an overall increase in the medical efficiency. The study would focus on such different tools, adhered with AI for increased medical improvement.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권4호
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• pp.881-902
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• 2024

Fast decision support systems and accurate diagnosis have become significant in the rapidly growing healthcare sector. As the number of disparate medical IoT devices connected to the human body rises, fast and interrelated healthcare data retrieval gets harder and harder. One of the most important requirements for the Healthcare Internet of Things (HIoT) is semantic interoperability. The state-of-the-art HIoT systems have problems with bandwidth and latency. An extension of cloud computing called fog computing not only solves the latency problem but also provides other benefits including resource mobility and on-demand scalability. The recommended approach helps to lower latency and network bandwidth consumption in a system that provides semantic interoperability in healthcare organizations. To evaluate the system's language processing performance, we simulated it in three different contexts. 1. Polysemy resolution system 2. System for hyponymy-hypernymy resolution with polysemy 3. System for resolving polysemy, hypernymy, hyponymy, meronymy, and holonymy. In comparison to the other two systems, the third system has lower latency and network usage. The proposed framework can reduce the computation overhead of heterogeneous healthcare data. The simulation results show that fog computing can reduce delay, network usage, and energy consumption.

• 디자인학연구
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• 제13권1호
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• pp.219-225
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• 2000

많은 디자이너들이 과거의 붓, 물감 등에 의한 전통적 도구들을 대신하여 각종 디지털 도구들과 컴퓨터를 전통적인 인쇄물 및 프레젠테이션, 멀티미디어 등 다양한 디자인 환경 속에서 적극적으로 활용하고 있다. 이제는 컴퓨터그래픽의 질적 요소가 디자인 결과에 중요한 역할을 하고 있으며, 컴퓨터그래픽의 생활화에 의한 시각문화가 재창출되는 시점에 이르고 있다. 학교 교육의 현장에서도 이러한 추세에 발맞추어 컴퓨터 장비의 확충과 활용비율을 크게 늘려가고 있는 추세이지만 전문지식의 부족으로 인하여 투자에 비해 그 효율성이 매우 적에 나타나고 있는 실정이다. 본 논문은 컴퓨터의 효율적 활용방안을 연구하여 학교 내 컴퓨터와 관련한 기자재의 설치 및 운용에 있어서 중복투자를 방지하고, 적정한 규모의 장비로써 최대의 능률을 도모할 수 있도록 함으로써 수업능률과 교육의 질적 향상을 도모하고자 하였다. 이와같은 기본 원칙에 의거, 본 논문은 컴퓨터를 활용하고 있는 각 대학들의 사례를 수집, 분석하여 문제점을 추출하고 이를 해결해 나가는 방법을 제시함으로써 미래지향적인 디자인 교육에 일조 하고자 하였다.

• 대한전자공학회논문지SP
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• 제44권6호
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• pp.35-46
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• 2007

본 논문은 불필요한 잉크의 양을 줄이기 위하여 전체 잉크량 제한과 도트 가시성 순서에 기반한 6색 분리 방법을 제안한다. 첫 번째, 입력 RGB 이미지의 CIELAB 값이 컬러 혼합 모델을 이용하여 추정되고 미리 정한 색차 허용 범위 내의 CMYKlclm 색료의 모두 조합에 해당하는 CIELAB 값과 비교되어, 그 결과 초기 CMYKlclm 후보군이 선택된다. 그 다음, 전체 잉크량 제한이 과도하게 사용된 잉크량을 줄이기 위해 초기 CMYKlclm 후보군에 적용되고, 최후의 CMYKlclm 후보군이 C, M, Y, K, lc, lm의 도트 가시성 순서에 기반하여 어두운 영역에 사용된 묽은 사이안과 묽은 마젠타의 사용량을 줄임으로써 결정되어진다. 실험에서는 제안된 방법이 좋은 이미지 품질을 유지하면서 과도한 잉크 사용량을 줄인 것을 보여준다.

• 디지털콘텐츠학회 논문지
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• 제10권2호
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• pp.269-278
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• 2009

본 연구는 학교 현장에 보급되고 있는 디지털교과서를 활용한 학습에서 디지털교과서가 학습자들에게 어떠한 만족도를 갖고 활용되고 있는지를 유비쿼터스 학습특성의 관점에서 살펴보고, 학습자의 컴퓨터 자기효능감과 디지털교과서의 활용도가 어떠한 조절적 작용을 하고 있는지를 검증해 봄으로써 디지털교과서의 콘텐츠와 시스템 개발에 지침을 제공하고자 하였다. 연구방법은 SPSS win13.0 프로그램으로 실증분석을 위한 기술통계, Cronbach's $\alpha$ 계수 산출과 상관분석을 하였고, 가설검증을 위해서는 조절회귀분석(MMR)을 실시하였다. 연구가설의 검증을 통해 나타난 결과는 다음과 같다. 첫째, 유비쿼터스 학습특성은 디지털교과서 학습만족도에 직접적인 영향력을 가지는 것으로 나타났다. 둘째, 유비쿼터스 학습특성이 디지털교과서 학습만족도에 긍정적인 영향력을 줄 때 컴퓨터 자기효능감과 디지털교과서 활용도가 유비쿼터스 학습특성과 각각 상호작용을 하여 조절 효과를 가지는 것으로 밝혀졌다. 이러한 결과들은 통계적으로 유의미한 결과로서 나타났다.

• 디지털콘텐츠학회 논문지
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• 제18권2호
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• pp.411-422
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• 2017

현재 정책은 대역폭 공유에 대하여 평균 처리량을 높이고 로컬 네트워크의 대역폭 사용률을 향상시킨다. 하지만 이러한 정책은 각각 네트워크 흐름에 대역폭을 할당해주는 중앙 관리에서 사용자 특성 기반의 리소스를 할당 할 수 없다. 따라서 사용자 특성기반의 서비스를 보장하지 않기 때문에 불평등한 대역폭 할당이 발생된다. 따라서 본 논문에서는 제한된 대역폭 네트워크에서 대역폭을 공유하는 새로운 방법을 제안한다. 제안한 방법은 이상적인 퍼지 시스템을 사용하여 제한된 장치의 현재 사용량에 따른 대역폭 요청여부를 추전하고 결정한다. 본 논문에서는 OPNET의 비디오 스트리밍 시뮬레이션과 WebRTC의 실시간 비디오 스트리밍으로 구성된 두 가지 실행을 수행한다. 수행한 실험 결과를 통해 제안 된 방법이 네트워크 환경에서 사용자의 요구사항을 기반으로 대역폭 사용을 유연하게 공유 할 수 있다는 것을 확인 할 수 있었다.

• 한국수학교육학회지시리즈A:수학교육
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• 제52권2호
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• pp.163-174
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• 2013

This study conducted a survey to examine the knowledge formation and utilization of computer among beginning teachers of secondary school mathematics. We found that beginning teachers who had more experiences of taking computer utilization classes at teacher education institutes showed more interest in computer and saw the necessity and effectiveness of computer usage for teaching students. Teachers chose GSP the most among computer utilization knowledge learned in pre-service teachers program, and GSP is used the most in mathematics classes. However, they answered that computer is not so much available in class due to lack of hours and the relevant resources. Lastly, beginning teachers answered that the computer knowledge learned in in-service teacher program was more useful than that in pre-service. Thus, the professional development in utilizing computer should be improved through diversifying teacher training contents for beginning teachers as well as for pre-service teachers in teacher education institutes.

• Journal of Communications and Networks
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• 제8권2호
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• pp.169-174
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• 2006

In this paper, the algorithm of a methodology for the calculation of spectrum requirements was implemented. As well, the influence of traffic distribution ratio among radio access technology groups, spectral efficiency, and flexible spectrum usage (FSU) margin was analyzed in terms of the spectrum requirements, with a view toward for future development of international mobile telecommunication (IMT)-2000 and systems beyond IMT-2000. The calculated spectrum requirement in the maximum spectral efficiency case is reduced by approximately 40% compared to a minimum spectral efficiency case. The effect of the distribution ratio on the required spectrum is smaller than the effect of the spectral efficiency. As the flexible spectrum usage margin increases by 1.0 dB, the total spectrum requirement decreases by 0.9 dB. The required spectrum for the market input parameter, ${\rho}$ = 0.5 is 801.63 MHz, while the required spectrum for ${\rho}$ = 1.0 is 6295.4 MHz. This is equivalent to an increase of 785.32 %.

• 한국지역사회생활과학회지
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• 제18권2호
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• pp.247-263
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• 2007

This study was complied to analyze the professional agricultural techniques level and to suggest a desirable direction for the professional education system for women farmer. The research was conducted by using in-field surveys and interviews. Data was gathered by questionnaire from 147 women farmer in five specialized crop regions: strawberry, cucumber, rose, apple, and oyster mushroom. The results obtained are as follows. First, the technique levels in computer usage and electronic commerce, machinery usage, pesticide and fertilizer utilization, facility automation, and eco-agricultural cultivation were low. Second, the demand for professional education, evaluated through technique level by standard management diagnosis, was recognized. Areas of concern included: cucumber (temperature control, carbonic acid gas control, grading, funds management), strawberry (light control, soil temperature control, irrigation watering, shipping), rose (temperature control, light control, funds management, cooperated management), oyster mushroom (growth cabinet sterilizer), and apple (flower bud pinching, defloration, fruit thinning, funds management). Based on the results of this study, the following are suggestions for the planning of a professional education system for women farmer. First, it needs to address formal education in marketing, machinery usage, facilities automation, and techniques in pesticide and fertilizer utilization. Second, it needs to be a multi- level program with appropriate terminology at every level which is suitable to each age and ability of women farmer. Third, it needs a more comprehensive manual developed by need analysis of women farmer and a larger lecturer pool for professional education.