• The KIPS Transactions:PartA
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• v.18A no.2
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• pp.61-68
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• 2011

Memory error debugging is one of the most critical processes in improving software quality. However, due to the extensive time consumed to debug, the enhancement often leads to a huge bottle neck in the development process of mobile devices. Most of the existing memory error detection tools are based on static error detection; however, the tools cannot be used in mobile devices due to their use of large working memory. Therefore, it is challenging for mobile device vendors to deliver high quality mobile devices to the market in time. In this paper, we introduce "PinMemcheck", a pin-based memory error detection tool, which detects all potential memory errors within $1.5{\times}$ execution time overhead compared with that of a baseline configuration by applying the Pin's binary instrumentation process and a simple data structure.

• The KIPS Transactions:PartB
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• v.18B no.3
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• pp.131-138
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• 2011

In this paper, we compare our proposed method with previous methods for the volumetric image segmentation using level set. In order to obtain an exact segmentation, the region and boundary information of image object are used in our proposed speed function. The boundary information is defined by the gradient vector flow obtained from the gradient images and the region information is defined by Gaussian distribution information of pixel intensity in a region-of-interest for image segmentation. Also the regular term is used to remove the noise around surface. We show various experimental results of real medical volume images to verify the superiority of proposed method.

• The KIPS Transactions:PartA
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• v.18A no.2
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• pp.53-60
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• 2011

Touch screen technologies are widely used as the basic input for mobile devices. However, for smartphones, touch screens have been utilized as a simple device that merely process text data. It has been considered an inappropriate multimedia input device for one to use design applications, such as painting, due to its narrow touch screen space, which makes it inconvenient to draw pictures. In this study, we propose to enhance this weakness by using infrared approach on a smartphone's input interface. The usage of infrared approach will allow for quick and accurate operations without facing any space constraints. In this paper, we provide a detailed description of the design and implementation of a smartphone user interface using infrared pointing device. Additionally, using experimental results, we prove that our proposed approach is more convenient and efficient than traditional touch screen approaches used in smartphones.

• The KIPS Transactions:PartA
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• v.18A no.5
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• pp.181-192
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• 2011

Information superiority is an essential factor in modern warfare and it can be archived by efficient information exchange between systems. Various computing systems are installed on the today's navy vessels. However, it is hard to improve interoperability and efficiency of information exchange since the configurations of installed systems are varying. The military standard and commercial standard are mix-used between systems. In this paper, we propose an information exchange architecture based on Pub/Sub model as a communication middleware to improve interoperability as well as enhancing scalability. We also propose a novel tree matching algorithm to improve a performance of PubSub broker. In the proposed algorithm, each tree nodes have information about predicates of subscription that can reduce event matching time. The performance evaluation results show our proposed algorithm reduces time for matching predicates compare with other algorithms.

• The KIPS Transactions:PartB
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• v.18B no.1
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• pp.1-10
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• 2011

Reversible watermarking inserts watermark into digital media in such a way that visual transparency is preserved, which enables the restoration of the original media from the watermarked one without any loss of media quality. It has various applications, where high capacity and high visual quality are major requirements. This paper presents a new effective multi-round embedding scheme for the differential histogram-based reversible watermarking that satisfies high capacity requirements of the application. The proposed technique exploits the row-column cross scanning to fully utilize the locality of images when multi-round embedding phase to the message inserted image. Through experiments using multiple kinds of test images, we prove that the presented algorithm provides 100% reversibility, effectiveness of multi-round embedding, and higher visual quality, while maintaining the induced-distortion low.

• The KIPS Transactions:PartB
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• v.18B no.3
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• pp.165-172
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• 2011

In this paper, we propose Ant-Q learning Algorithm[1], which uses the habits of biological ants, to find a new way to solve Stable Marriage Problem(SMP)[3] presented by Gale-Shapley[2]. The issue of SMP is to find optimum matching for a stable marriage based on their preference lists (PL). The problem of Gale-Shapley algorithm is to get a stable matching for only male (or female). We propose other way to satisfy various requirements for SMP. ACS(Ant colony system) is an swarm intelligence method to find optimal solution by using phermone of ants. We try to improve ACS technique by adding Q learning[9] concept. This Ant-Q method can solve SMP problem for various requirements. The experiment results shows the proposed method is good for the problem.

• The KIPS Transactions:PartB
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• v.18B no.1
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• pp.21-28
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• 2011

A 3D face shape derived from 2D images may be useful in many applications, such as face recognition, face synthesis and human computer interaction. To do this, we develop a fast 3D Active Appearance Model (3D-AAM) method using depth estimation. The training images include specific 3D face poses which are extremely different from one another. The landmark's depth information of landmarks is estimated from the training image sequence by using the approximated Jacobian matrix. It is added at the test phase to deal with the 3D pose variations of the input face. Our experimental results show that the proposed method can efficiently fit the face shape, including the variations of facial expressions and 3D pose variations, better than the typical AAM, and can estimate accurate 3D face shape from images.

• The KIPS Transactions:PartC
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• v.19C no.4
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• pp.215-224
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• 2012

Today, individuals and businesses are a lot of paperwork through a computer. So many documents files are creating to digital type. And the digital type files are copied, moved by various media such as USB, E-mail and so on. A careful analysis of these digital materials can be tracked that occurred during the document editing work history. About these research are on the compound document file format, but has not been studied about the new OOXML format that how to analyze linkages between different document files, tracking an internal order, finding unsaved file for identify the process of creating the file. Future, the use of OOXML format digital documents will further increase, these document work history traceability in digital forensic investigation would be a big help. Therefore, this paper on the new OOXML format(has a forensic viewpoint) will show you how to track the internal order and analyze linkages between the files.

• The KIPS Transactions:PartD
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• v.14D no.7
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• pp.791-800
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• 2007

The purpose of the research is to investigate the impact of the implementation and recognition for KM strategies on KM performances in public enterprises. The research identified critical factors of KM strategies and performances through literature review, measured the degrees of implementation and significance recognition for the strategies targeting public enterprises, and analyzed the KM performance levels based on the combined degrees of the implementation and the recognition for KM strategies. The findings illustrate that not only the KM strategies implementation, but also the significance recognition can affect the KM performances. The researchers urge that organizations, in advance, should request their employees' understanding and significance recognition for KM strategies to successfully implement their knowledge management.

• The KIPS Transactions:PartD
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• v.14D no.7
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• pp.809-818
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• 2007

In this thesis, the color information is used to extract the traffic sign territory, and for recognizing the extracted image, it proposes the traffic sign recognition system that applies the error back propagation algorithm. The proposed method analyzes the color of traffic sign to extract and recognize the possible territory of traffic sign. The method of extracting the possible territory is to use the characteristics of YUV, YIQ, and CMYK color space from the RGB color space. Morphology uses the geometric characteristics of traffic sign to make the image segmentation. The recognition of traffic signs can be recognized by using the error back propagation algorithm. As a result of the experiment, the proposed system has proven its outstanding capability in extraction and recognition of candidate territory without the influence of differences in lighting and input image in various sizes.