• Journal of The Korean Association For Science Education
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• v.13 no.2
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• pp.230-246
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• 1993

The purpose of this study was to investigate the computer-naive children's preconceptions of computer concept, anxieties for computer, the changes in preconceptions and anxieties by computer literacy teaching, and the effect of CASI(Computer Assisted Science Instruction) on the science achievement. For this study, 42 5th graders were sampled. They were divided into two groups, experimental group(male:10, female:11) and control group(male:12, female:9). Each group was randomly assigned in the elementary school. Preconceptions about computer were examined by individual interview. Computer anxiety score was measured by questionaires. The questionaires developed in this study consisted of total 21 items measured by Chronbach ${\alpha}$ (0.93) and Total Item Correlationtp(p=0.01, r = $0.40{\sim}0.72$). Computer literacy curriculum based on children's preconceptions was developed and then was treated for experimental group as a computer literacy course. Preconceptions of computer, computer anxiety, and CASI achievements were compared between experimental group and control group in pre and post test. The results of this study are as follows; 1) children's preconceptions of computer showed various non-scientific concepts as animism and obvious visiual thinking. 2) children's misconceptions and anxieties about computer did not show significant differences in terms of learning experience of computer. 3) computer literacy had an effect on eliminating children's misconception about computer. 4) computer literacy had an effect on diminishing children's computer anxiety. 5) children's misconceptions and anxieties about computer showed significant inter-correlation. 6) children's misconceptions and anxieties about computer were appeared negative effect on CASI achievements. As the results, children's misconception and anxieties about computer had an effect on CASI acheivements. Therefore before performing CASI, more systematic computer literacy might be taught in formal education.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.111-119
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• 2023

Mobile Ad-hoc Network (MANET) is an infrastructure-less network that can configure itself without any centralized management. The topology of MANET changes dynamically which makes it open for new nodes to join it easily. The openness area of MANET makes it very vulnerable to different types of attacks. One of the most dangerous attacks is the Resource Consumption Attack (RCA). In this type of attack, the attacker consumes the normal node energy by flooding it with bogus packets. Routing in MANET is susceptible to RCA and this is a crucial issue that deserves to be studied and solved. Therefore, the main objective of this paper is to study the impact of RCA on two routing protocols namely, Ad hoc On-Demand Distance Vector (AODV) and Dynamic Source Routing (DSR); as a try to find the most resistant routing protocol to such attack. The contribution of this paper is a new RCA model (RCAM) which applies RCA on the two chosen routing protocols using the NS-2 simulator.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.49-56
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• 2023

Computer architecture serves as a link between application requirements and underlying technology capabilities such as technical, mathematical, medical, and business applications' computational and storage demands are constantly increasing. Machine learning these days grown and used in many fields and it performed better than traditional computing in applications that need to be implemented by using mathematical algorithms. A mathematical algorithm requires more extensive and quicker calculations, higher computer architecture specification, and takes longer execution time. Therefore, there is a need to improve the use of computer hardware such as CPU, memory, etc. optimization has a main role to reduce the execution time and improve the utilization of computer recourses. And for the importance of execution time in implementing machine learning supervised module linear regression, in this paper we focus on optimizing machine learning algorithms, for this purpose we write a (Diabetes prediction program) and applying on it a Practical Swarm Optimization (PSO) to reduce the execution time and improve the utilization of computer resources. Finally, a massive improvement in execution time were observed.

• Proceedings of the Korean Society Of Semiconductor Equipment Technology
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• 2005.09a
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• pp.193-196
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• 2005

Low resistance Ni thin films for using NiSi formation and metallization by atomic layer deposition (ALD) method have been studied. ALD temperature window is formed between $200^{\circ}C\;and\;250^{\circ}C$ with deposition rate of $1.25{\AA}$/cycle. The minimum resistance of deposited Ni films shows $4.333\;{\Omega}/\square$ on the $SiO_2/Si$ substrate by $H_2$ direct purging process. The reason of showing the low resistance is believed to be due to format ion of the $Ni_3C$ phase by residual carbon in Bis-Ni The deposited film exhibits excellent step coverage in the trench having 1(100 nm) : 16 (1.6 um) aspect ratio.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.958-960
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• 2005

We consider a point robot in the plane whose turning radius is constrained to be at least 1 and that is not allowed to make reversals. Given a starting configuration(a location and an orientation) for the robot, we give a new geometric proof on the combinatorial structure of curvature-constrained shortest paths to a final point with free orientation.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.7-9
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• 2005

온톨로지 언어를 기반으로 하는 시맨틱 웹 상에서 온톨로지 데이터에 대한 질의를 효율적으로 처리하기 위해서는 질의 처리에 효과적인 저장 스키마의 구축이 필요하다. 본 논문에서는 온톨로지 데이터의 검색을 위한 효과적인 저장 스키마 구축 기법을 제안하고자 한다. 아울러 본 논문에서 제안하는 저장 스키마를 위한 질의 기법을 제안하고자 한다. 온톨로지 데이터를 추출할 때에는 계층 구조를 기반으로 질의 수행을 해야 한다. 따라서 본 논문에서는 계층 정보를 유지하기 위해 별도의 XML 문서를 기존의 넘버링 기법을 기반으로 생성하여 하위 정보의 추출을 효과적으로 지원하고자 한다. 실험을 통한 질의 처리 성능을 통해서 본 논문에서 제안하는 저장 스키마 기법과 질의 처리 기법이 효과적임을 보인다.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.375-381
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• 2022

The main objective of an Information Retrieval System (IRS) is to obtain suitable information within a reasonable time to satisfy a user need. To achieve this purpose, an IRS should have a good indexing system that is based on natural language processing.In this context, we focus on the available Arabic language processing techniques for an IRS with the goal of contributing to an improvement in the performance. Our contribution consists of integrating morphological analysis into an IRS in order to compare the impact of morphological analysis with that of stemming algorithms.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.135-142
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• 2022

Despite global medical advancements, many patients are misdiagnosed, and more people are dying as a result. We must now develop techniques that provide the most accurate diagnosis of heart disease based on recorded data. To help immediate and accurate diagnose of heart disease, several data mining methods are accustomed to anticipating the disease. A large amount of clinical information offered data mining strategies to uncover the hidden pattern. This paper presents, comparison between different classification techniques, we applied on the same dataset to see what is the best. In the end, we found that the Random Forest algorithm had the best results.

• Proceedings of the Korean Powder Metallurgy Institute Conference
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• 2006.09a
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• pp.563-564
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• 2006

The effect of different cooling rate on the structure and mechanical properties of Fe-3%Mn-(Cr)-(Mo)-0.3%C steels is described. Pre-alloyed Astaloy CrM and CrL, ferromanganese and graphite were used as the starting powders. Following pressing in a rigid die, compacts were sintered at $1120^{\circ}C$ and $1250^{\circ}C$ in $H_2/N_2$ atmospheres and cooled with cooling rates $1.4^{\circ}C/min$ and $6.5^{\circ}C/min$. Convective cooled specimens were subsequently tempered at $200^{\circ}C$ for 60 and 240 minutes.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.913-916
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• 2006

SNMP는 망 관리 시스템을 구현하는데 있어서 비교적 단순하고 안전한 일대일 통신 방안을 제공하고 있다. 원격 회의 또는 강의, VoIP, 네트워크 게임 등의 다양한 통신 컨텐츠에 대해 인터넷을 통한 이용이 급증하면서 UDP 기반의 SNMP 통신에 있어서도 Congestion Control을 적용하기 위한 방안이 필요하게 되었다. 본 논문에서는 UDP에서 Congestion Control을 이용하는 DCCP를 이용하여 SNMP를 기반의 망 관리 시스템을 구축할 수 있는 구조를 제안한다.