• Journal of Information Processing Systems
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• v.15 no.4
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• pp.833-852
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• 2019

In real time applications, due to their effective cost and small size, wireless networks play an important role in receiving particular data and transmitting it to a base station for analysis, a process that can be easily deployed. Due to various internal and external factors, networks can change dynamically, which impacts the localisation of nodes, delays, routing mechanisms, geographical coverage, cross-layer design, the quality of links, fault detection, and quality of service, among others. Conventional methods were programmed, for static networks which made it difficult for networks to respond dynamically. Here, machine learning strategies can be applied for dynamic networks effecting self-learning and developing tools to react quickly and efficiently, with less human intervention and reprogramming. In this paper, we present a wireless networks survey based on different machine learning algorithms and network lifetime parameters, and include the advantages and drawbacks of such a system. Furthermore, we present learning algorithms and techniques for congestion, synchronisation, energy harvesting, and for scheduling mobile sinks. Finally, we present a statistical evaluation of the survey, the motive for choosing specific techniques to deal with wireless network problems, and a brief discussion on the challenges inherent in this area of research.

• Journal of the Korean School Mathematics Society
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• v.16 no.2
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• pp.409-434
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• 2013

The mathematical ability is an essential element for achieving professional competencies and for enhancing application ability in a vocational world and exploring its experiences. In this aspect, for vocational high school students, it is an important and urgent issue to develop remedial learning programs for developing mathematical basic and application ability. In particular, the program is developed based on the individual achievement level, focused on a mathematical basic ability to be applied efficiently in a vocational world. Because of this reason, in this study, the program is comprised of two phases; one is diagnosis test and the other is remedial teaching and learning materials. Then, diagnosis test includes three test; I) level testing evaluation for selecting the subject of remedial learning, ii) pre-test for deciding on which area and level of the materials when students begin to study, and iii) post-test for confirming the learning status is satisfied and the possibility of next step(level) or the other area of the materials. To accomplish this, this study tried to devise an efficient remedial learning system. Based on the system, this study developed remedial learning programs on the four areas of number and quantity, change and relation, uncertain thing, and figure and shape in the middle school level. In particular, this program is comprised of two types of knowledge. One is K-knowledge which is an essential knowledge to achieve a basic mathematical ability. The other is C-knowledge which is the advanced knowledge required to apply efficiently in a vocational world. This paper deals with the content mentioned above, but examples of the materials is shown focused on the area of change and relation.

• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1197-1205
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• 2018

In this paper, we perform Single Image Super Resolution(SISR) for acquired images of EOTS or IRST from naval combat system. In order to conduct super resolution, we use Generative Adversarial Networks(GANs), which consists of a generative model to create a super-resolution image from the given low-resolution image and a discriminative model to determine whether the generated super-resolution image is qualified as a high-resolution image by adjusting various learning parameters. The learning parameters consist of a crop size of input image, the depth of sub-pixel layer, and the types of training images. Regarding evaluation method, we apply not only general image quality metrics, but feature descriptor methods. As a result, a larger crop size, a deeper sub-pixel layer, and high-resolution training images yield good performance.

• Nuclear Engineering and Technology
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• v.53 no.7
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• pp.2341-2347
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• 2021

Because single-photon emission computed tomography (SPECT) is one of the widely used nuclear medicine imaging systems, it is extremely important to acquire high-quality images for diagnosis. In this study, we designed a super-resolution (SR) technique using dense block-based deep convolutional neural network (CNN) and evaluated the algorithm on real SPECT phantom images. To acquire the phantom images, a real SPECT system using a^99mTc source and two physical phantoms was used. To confirm the image quality, the noise properties and visual quality metric evaluation parameters were calculated. The results demonstrate that our proposed method delivers a more valid SR improvement by using dense block-based deep CNNs as compared to conventional reconstruction techniques. In particular, when the proposed method was used, the quantitative performance was improved from 1.2 to 5.0 times compared to the result of using the conventional iterative reconstruction. Here, we confirmed the effects on the image quality of the resulting SR image, and our proposed technique was shown to be effective for nuclear medicine imaging.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.341-347
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• 2020

In this paper, we propose to discover the certification items and to study the content system for SW education instructors, including SW education based on basic teaching-learning capabilities and Computational Thinking(CT). To this end, SW education instructor qualification were divided into three classes using methods such as prior case studies, Delphi surveys, and expert meetings, and the certification evaluation areas were divided into large areas of 'Teaching and Learning Method' and 'Software Education' reflecting primary and secondary curriculum. Sub-areas and content elements for each series were set and verified through expert Delphi survey. Such research is expected to contribute to the spread and dissemination of SW education by being used meaningfully when establishing a system that fosters SW education instructors and maintains and manages the quality of instructors.

• Journal of The Korean Association For Science Education
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• v.25 no.4
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• pp.494-502
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• 2005

This study investigated the current science teaching evaluation system implemented in schools and directions for improving teaching evaluation using literature review, survey, and teacher interview. The first part of this paper analyzed the types, roles, and major issues of the current science teaching evaluation. In-service teachers argued that the current teaching evaluation system was discredited because of the bureaucratic procedures of teacher performance review, showcase classrooms, teachers' views on classroom as their own personal space, low ratio of teaching component in the current teacher evaluation, untrained evaluators, and the absence of professional teaching standards. The second part of the paper investigated the need for a formative teaching assessment, an ideal type of teaching assessment, and the role of participants in the teaching evaluation processes. The way forward, therefore, is to start not at the level of the administrative superstructure but at the level of teachers who will assume responsibility for developing standards of practice as the basis for evaluating their own work and improving their own professional learning to provide quality assurance.

• The Journal of Korean Association of Computer Education
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• v.9 no.4
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• pp.25-34
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• 2006

Although the e-learning system is being introduced in elementary and secondary education, incorporating it into the regular curriculum is difficult. Other problems include the lack of sessions and connection to regular courses in realistically applying project-based learning in the regular school curriculum. Therefore. this study established, applied, and analyzed the blended learning strategy to resolve such issues. Specifically, a theoretical investigation on the concept of blended learning and IT-oriented, project-based learning was conducted. The theme for learning based on integrated courses was also selected, and the 5-stage project-based teaching and learning strategy, concretized. The concretization strategy involved discussion, role division, and alternative evaluation strategy. The class progressed in formats of on-class online, on-class offline and off-class online. As a result, students experienced inconvenience since the project only lasted for a short period of time. Nonetheless, they responded positively to the effect of project-based learning in general. This study was able to suggest the possibility of applying e learning in regular school curriculum and propose the direction for digital and learner oriented teaching.

• Journal of the Korea Society of Computer and Information
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• v.14 no.11
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• pp.81-90
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• 2009

It is inevitable for college students to be confused when they first face university education, which requires them to be self-reliant and responsible, after finishing their course of education, which is passive under control of period and environment, in primary, middle, and high schools. Introduction to college courses, which require students to be subjective and responsible, to be taken after chronically and environmentally controlled primary and secondary education, are but confusing. In this stage, college education should provide ground for educational system so that students can escape from repetitively enforced way of studying of fixed curriculums and study creatively and subjectively while befitting each individual's aptitude. For instance, in programming classes in engineering school, students scholastic achievements are closely interrelated with the professor's educational principles. A change in method of education, from one previously focused on theoretical contents to one centered on practices and experiments, can reap good results. Also, as the need arose for introduction of practice-focused evaluation system, from recognition-centered professor evaluating system to enablement of actively developing creative and self-reliant way of learning, we applied the Rublic System. It is a feedback system that all or most students become the evaluators, of which the indicators of evaluation such as category, standard, and score are public. We have looked into whether or not there has been an improvement in GPAs of students, and if there exists an improvement then what efforts should be made to solidify the system.

• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.51-58
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• 2009

Reinforcement learning is a sub area of machine learning concerned with how an agent ought to take actions in an environment so as to maximize some notion of long-term reward. In the case of multi-agent, especially, which state space and action space gets very enormous in compared to single agent, so it needs to take most effective measure available select the action strategy for effective reinforcement learning. This paper proposes a multi-agent reinforcement learning model based on fuzzy inference system in order to improve learning collect speed and select an effective action in multi-agent. This paper verifies an effective action select strategy through evaluation tests based on Robocup Keepaway which is one of useful test-beds for multi-agent. Our proposed model can apply to evaluate efficiency of the various intelligent multi-agents and also can apply to strategy and tactics of robot soccer system.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.9 no.3
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• pp.203-208
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• 2015

In this study, a digital textbook was developed for effective career and vocational education of students with disabilities. The contents of developed digital textbook consisted of 'lesson 15: Sale(1)' of middle school career and vocational education of basic curriculum. It progresses six periods and each topic activities are composed of open learning, learning activity 1, learning activity 2, and organized learning in order. NamoPubTreeEditor Program was used to develop the text book in the study, digital textbooks were designed to be compatible with various devices including smartphone of android operating system, Tablet PC, the iOS system, iphone, ipad, etc. In addition, it was designed to offer a variety of learning materials such as sale multimedia materials, glossary, evaluation questions, and linked data related to sale, supported self-motivated learning. allowed students to evaluate their study for the learning of students with disabilities.