• Journal of KIISE:Software and Applications
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• v.37 no.7
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• pp.578-583
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• 2010

This paper presents an automated visualization system, called StyleVisualizer, which checks the coding style of source codes and visualizes the coding style score using facial expression. Our system represents some kinds of facial expressions according to the evaluated score of the code style: A smile face means that the source code follows coding standards correctly. To measure the effectiveness of the StyleVisualizer, some experiments have been conducted on two class students in an applied computer course. In the experiments, we have compared the error ratio for obeying the coding standards when the StyleVisualizer was used or not. According to the experimental results, the error ratio with the StyleVisualizer was reduced above 30% than that without it. We expect that our system can encourage the students to obey the coding standards by providing the feedback of the visualized faces corresponding to their programs, resulting in high readable programs.

• Journal of the Korea Society of Computer and Information
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• v.13 no.2
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• pp.31-40
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• 2008

Various coding styles for C language have been proposed so far but there has been a lack of synthetic review about them. In this paper, I propose a new C coding style by analyzing coding rules that are included in the representative C coding styles and by adding new coding rules besides them. In addition, I designed an automated C coding style checker named CStyler which was implemented using Lex and Yacc. It is designed to be able to verify unpreprocessed source code as well as preprocessed source code. And I improved its flexibility by being able to add a new coding rule by end user. I think that the new C coding style and coding style checker, CStyler, can be utilized for education and for future research to develop and extend a static analysis tool.

• The Transactions of the Korea Information Processing Society
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• v.13 no.9
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• pp.437-443
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• 2024

Adhering to coding style guidelines is crucial for both companies and developers as it improves code readability and reduces the costs associated with testing and maintenance. However, teaching coding style in programming courses poses challenges. Setting up an environment for learning coding styles is hard, and there are no predefined coding style rules for beginners. From the learners' perspective, since adherence to coding styles does not affect their grades, they do not feel a strong need to learn them. This paper introduces a coding style checking system for an online evaluation system. The proposed system is implemented to check and evaluate coding styles in C, Java, and Python. Additionally, we applied 234 out of the 1,023 rules provided by the language-specific tools, which is 23.08%, allowing for the application of coding style rules according to the course progression. Moreover, we motivated learners to improve their coding style by adding quality scores to their basic scores. After introducing the coding style education system, the number of students scoring over 25 points on their initial submissions increased by 149.47%, from 18 students in the first week to 44 students in the sixth week. Learners used the coding style checking system to learn how to apply coding style rules and subsequently implemented their code in adherence to the specified coding styles.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.19-31
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• 2013

Since the high readable source codes help us to understand and modify the program, it is much easy to maintain them. The readability of source code is not only affected by the complexity of algorithms such as control structures but also affected by the coding styles such as naming and indentation. Although various coding standards have been presented for promoting the readability of source codes, it has been usually lost or ignored in a programming course. One of the reasons is that the coding standard is not a hard-and-false rule since it does not contribute to the performance of software. In this paper, we propose a simple automatic system, namely StyleJigsaw, which checks the style of the source codes written by C/C++ or Java. In this system, the coding style score is calculated and visualized as a jigsaw puzzle. To measure the educational effectiveness of StyleJigsaw, several experiments have been conducted on a class students in C++ programming course. According to the experimental results, the coding style score increased about 8.0 points(10.9%) on average using StyleJigsaw. Further, according to a questionnaire survey targeting the students who attended the programming course, about 88.5% of the students responded that StyleJigsaw was of help to learn the coding standards. We expect that the StyleJigsaw can be effectively used to encourage the students to obey the coding standards, resulting in high readable programs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.5
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• pp.1180-1197
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• 2013

Network coding is one of the most promising techniques to increase the reliability and reduce the energy consumption for wireless sensor networks (WSNs). However, most of the previous works mainly focus on the network coding for multicast or unicast in WSNs, in spite of the fact that the converge-cast is the most common communication style in WSNs. In this paper, we investigate, for the first time as far as we know, the feasibility of acquiring network coding benefits in converge-cast, and we present that with the ubiquitous convergent structures self-organized during converge-casting in the network, the reliability benefits can be obtained by applying linear network coding. We theoretically derive the network coding benefits obtained in a general convergent structure, and simulations are conducted to validate our theoretical analysis. The results reveal that the network coding can improve the network reliability considerably, and hence reduce number of retransmissions and improve energy-efficiency.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.425-428
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• 2005

This paper is made up Advanced Image Coding(AIC) that combines algorithms from next generation image coding standard, H.264/MPEG-4 Part 10 advanced video coding(AVC) and still image compression standard, JPEG(Joint Photographic Experts Group). AIC combines intra frame block prediction from H.264 with a JPEG style discrete cosine transform and quantization, followed by Context-based Adaptive Binary Arithmetic Coding(CABAC) as used in H.264. In this paper, we analyzes the efficiency of the AIC algorithm and JPEG and JPEG-2000, and it presents of result.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.729-730
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• 2006

multimedia applications has been targeted for exploiting single instruction multiple data extensions to instruction architectures for the most of the modern microprocessor. In this paper, the newest video coding standard, H.264/AVC baseline profile decoder has been implemented and optimized exploiting INTEL MMX technology to show the overall system speedup by the SIMD style coding

• Journal of Broadcast Engineering
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• v.12 no.6
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• pp.585-595
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• 2007

Distributed video coding is a new video coding paradigm based on Slepian-Wolf and Wyner-Ziv's information theory Distributed video coding whose decoder exploits side information transfers its computational burden from encoder to decoder, so that encoding with light computational power can be realized. RD performance is superior than that of standard video coding without motion compensation process but still has a gap with that of coding with motion compensation process. This parer introduces basic theory of distributed video coding and its structure and then shows RD performances of DVCs whose coding style is different from each other and of a DVC as a spatial scalable video coder.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.9
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• pp.3056-3074
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• 2014

Convergecast is probably the most common communication style in wireless sensor networks (WSNs). And linear network coding (LNC) is a promising concept to improve throughput or reliability of convergecast. Most of the existing works have mainly focused on exploiting these benefits without considering its potential adverse effect. In this paper, we argue that LNC may not always benefit convergecast. This viewpoint is discussed within four basic scenarios: LNC-aided and none-LNC convergecast schemes with and without automatic repeat request (ARQ) mechanisms. The most concerned performance metrics, including packet collection rate, energy consumption, energy consumption balance and end-to-end delay, are investigated. Theoretical analyses and simulation results show that the way LNC operates, i.e., conscious overhearing and the prerequisite of successfully decoding, could naturally diminish its advantages in convergecast. And LNC-aided convergecast schemes may even be inferior to none-LNC ones when the wireless link delivery ratio is high enough. The conclusion drawn in this paper casts a new light on how to effectively apply LNC to practical WSNs.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.63-70
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• 2017

Recently, as user feedback such as social reading become active, demand has been increased on e-book contents making which is based on user feedback. However, to reflect the user feedback onto the e-book, direct coding is required, which was difficult to the author who was not good at programming. To resolve this problem, Block assembly style feedback editor system, using Blockly was developed. This editor enables to reflect the user feedback by area allocation, component allocation, block editing, and code generating insertion, contrary to the existing way of programming realization in which direct coding was required for input, processing and output separately. This system was developed by using HTML. Javascript, PHP, and Codeigniter. Block editing is enabled to do provision and assembly of blocks by Blockly. The function of code generation & insertion allows to insert the Library function code. Through this system, the general users who are not capable of coding also can reflect feedback without doing actual coding.