• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.5
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• pp.1049-1058
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• 2017

The rapid evolution of mobile technologies and proliferation of mobile devices have created a new channel for marketing by mobile advertising. As mobile advertising is a close relative to online advertising, it also has similar problems such as advertisement injections (Ad injections). Users are exposed to unwanted advertisements and redundant web traffic by injected ads can cause additional charges of mobile devices. Although mobile ad injection can cause many problems it has been merely studied. In this paper, we analyze ad injection activities by mobile applications that exploit a legitimate application (Naver mobile application). We reverse-engineered 2 mobile applications and find out characteristics of mobile ad injections. We compare mobile ad injections with online ad injections and suggest feasible mitigations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.2
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• pp.245-249
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• 2004

In this paper, we have proposed a clock recovery algorithm of Orthogonal Frequency Division Multiplexing/Quadrature Phase Shift Keying Modulation-Digital Microwave Radio(OFDM/QPSK-DMR) system using Band Limited-Pulse Shaping Filter(BL-PSF) and compared the clock phase error variance of OFDM/QPSK-DMR system with that of single carrier DMR system. The OFDM/QPSK-DMR system using windowing method requires training sequence or Cyclic Prefix (CP) to synchronize the clock phase of received signal. But transmit efficient is increased in our proposed DMR system because of no using redundant data such as training sequence or CP. The proposed clock recovery algorithm is simply realized in the OFDM/QPSK-DMR system using BL-PSF. The simulation results confirm that the proposed clock recovery algorithm has the same clock phase error variance performance in a single carrier DR system under Additive White Gaussian Noise(AWGN) environment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.10
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• pp.6056-6065
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• 2014

The aim of this study was to develop a scale of the Korea citizen's intentionality out of their inborn ability and mission. To set up the concept of the above intentionality, there have been many academic and religious studies for reference in addition to the existing productivity, Korea elderly successful aging scale, and the scale of life qualities for review. The first 57 items for questionnaires were created thereafter. The final 27 items were confirmed, which were constantly modified by a professor of statistics and corresponding author in effective response and in removing the redundant items after the first items had been reduced to 44 preliminary items through the many an item-by-item discussions with pastors, theologians and social workers. A survey was conducted around the metropolitan area and 380 records were collected. Factor analysis to verify the validity of the measurement tool was completed, and showed that there were 6 sub-factors; "recognition of being", "autonomous life", "self-completion", "initiative", "acceptance", and "economic feasibility". In addition, reliability analysis was implemented and found to be reliable because the Cronbach's ${\alpha}$ value was 0.6 or more.

• Journal of KIISE:Databases
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• v.33 no.2
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• pp.151-162
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• 2006

RDF Semantics, one of W3C Recommendations, provides the RDFS entailment rules, which are used for the RDFS inference. Sesame, which is well known RDF repository, supports the RDBMS-based RDFS inference using the forward-chaining strategy. Since inferencing in the forward-chaining strategy is performed in the data loading time, the data loading time in Sesame is slow down be inferencing. In this paper, we propose the order scheme for applying the RDFS entailment rules to improve inference performance. The proposed application order makes the inference process terminate without repetition of the process for most cases and guarantees the completeness of inference result. Also the application order helps to reduce redundant results during the inference by predicting the results which were made already by previously applied rules. In this paper, we show that our approaches can improve the inference performance with comparisons to the original Sesame using several real-life RDF datasets.

• The KIPS Transactions:PartA
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• v.9A no.4
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• pp.451-458
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• 2002

In this article, we present, design, and implement a software and hardware for an embedded RAID system. The merits and drawbacks of our system are presented by performance evaluation. The proposed hardware system consists of three fibre channel controllers for the interface with fibre channel disks and hosts. Embedded Linux in which a RAID software is implemented is ported to the hardware. A SCSI target mode device driver and a target mode SCSI module are designed for that our RAID system is considered as a block device to a host computer. Linux Multi-device is used as RAID functions of this system. A data cache module is implemented for high performance and the interconnection between Linux Multi-device and the target mode SCSI module. The RAID 5 module of Multi-device is modified for improvement of read performance. The benchmark shows that the new RAID 5 module is superior to the original one in overall performance.

• Journal of Korean Society of Steel Construction
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• v.18 no.2
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• pp.137-146
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• 2006

In this paper, a numerical study on the evaluation of the redundancy according to the dimension and spacing of cross beams in the composite twin steel plate girder bridges that are generally recognized as a non-redundant load path structures, has been performed. Specifically, a two-lane three-span continuous (40+50+40m) bridge with I-section cross beams which serve as cross bracing, and without a lateral bracing were considered. The material and geometric nonlinear analyses were conducted to evaluate the ultimate loading capacity of the intact and damaged bridge in which one of the two girders is seriously fractured. Through the numerical analyses, it was recognized that there is little difference in redundancy according to the variation of the dimension and spacing of the cross beams for both intact and damaged bridges.

• Journal of Internet Computing and Services
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• v.13 no.4
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• pp.1-10
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• 2012

In this paper, an optimal feature selection method considering sematic of features, which is preprocess of document classification is proposed. The feature selection is very important part on classification, which is composed of removing redundant features and selecting essential features. LSA (Latent Semantic Analysis) for considering meaning of the features is adopted. However, a supervised LSA which is suitable method for classification problems is used because the basic LSA is not specialized for feature selection. We also apply GA (Genetic Algorithm) to the features, which are obtained from supervised LSA to select better feature subset. Finally, we project documents onto new selected feature subset and classify them using specific classifier, SVM (Support Vector Machine). It is expected to get high performance and efficiency of classification by selecting optimal feature subset using the proposed hybrid method of supervised LSA and GA. Its efficiency is proved through experiments using internet news classification with low features.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.7 no.2
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• pp.85-92
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• 1989

The aim of this study is to find out the combination of effective transformed data, applying Remote Sensing techniques, as to the classification and particular objects by transforming the MSS data and TM data of the satellite LANDSAT into several linearly transformed data. Since one of the problems in the processing of the LANDSAT data is the vastness of the data, the Linear Transformation could be a method to perform analysis of those vast data, more efficiently and economically. This method is carried out as follows : (1) offering the simplicity over complex data, (2) selectional processing over redundant data and removing unnecessary data, (3) emphasizing on the object of the study ; by transforming multispectral data through linear calculation and statistical transformation. In this study, the analysis and transformation of the data have been performed by means of Band Ratioing and Principal Component Analysis. As the classificatory consequence, Infrared/RED Ratioing which expands the characterization of green vegetation, has been useful for a distinctive classification among other classes. For the Principal Component Analysis, band 1,2,7 are efficient in the classification of the green vegetation.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.2
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• pp.66-74
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• 2008

Since modem embedded systems need to access, manipulate or store sensitive information, it requires being equipped with cryptographic file systems. However, cryptographic file systems result in poor performance so that they have not been widely adapted to embedded systems. Most cryptographic file systems degrade the performance unnecessarily because of system architecture. This paper proposes ISEA (Indexed and Separated Encryption Approach) that supports for encryption/decryption in system architecture and removes redundant performance loss. ISEA carries out encryption and decryption at different layers according to page cache layer. Encryption is carried out at lower layer than page cache layer while decryption at upper layer. ISEA stores the decrypted data in page cache so that it can be reused in followed I/O request without decryption. ISEA provides page-indexing which divides page cache into cipher blocks and manages it by a block. It decrypts pages partially so that it can eliminate unnecessary decryption. In synthesized experiment of read/write with various cache hit rates, it gives results suggesting that ISEA has improved the performance of encryption file system efficiently.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.8
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• pp.591-595
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• 2009

Most existing routing protocols for object detection and tracking in wireless sensor networks concentrate on finding ways to detect and track one and more individual objects, e.g. people, animals, and vehicles, but they do not be interested in detecting and tracking of continuous objects, e.g., poison gas and biochemical. Such continuous objects have quite different properties from the individual objects since the continuous objects are continuously distributed across a region and usually occupy a large area, Thus, the continuous objects could be detected by a number of sensor nodes so that sensing data are redundant and highly correlated. Therefore, an efficient data collection and report scheme for collecting and locally aggregating sensing data is needed, In this paper, we propose the Continuous Object Tracking Mechanism based on Dynamic Rectangle Zone for detecting, tracking, and monitoring the continuous objects taking into account their properties.