• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.10
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• pp.1958-1968
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• 2015

Things intelligence communication (M2M or IoT) service activation and global company of OneM2M-related business on aggressive investing and has led to the acceleration of change in the ICT market. But a variety of hacking security technology because of the possibility of secure communication (data exposure, theft, modification, deletion, etc.) has been issued as an important requirement. In this paper, we propose a mutual authentication protocol for secure communications chameleon hash based on the M2M environment. The results of performance analysis efficiency is encryption and decryption an average of 0.7%, calculated rate showed good results as compared to the target algorithm, equivalent to a 3%(Average 0.003 seconds) difference, mutual authentication and encryption region by using the key update advantage of ECC(Elliptic Curve Cryptography)based Chameleon hash function is signed of the operational efficiency, using a collision message verifiable properties demonstrated strong security of the communication section.

• 전자공학회논문지 IE
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• v.45 no.3
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• pp.20-26
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• 2008

Two independent component analysis(ICA) algorithms were applied for the recognition of speech signals corrupted by a car engine noise. Speech recognition was performed by hidden markov model(HMM) for the estimated signals and recognition rates were compared with those of orginal speech signals which are not corrupted. Two different ICA methods were applied for the estimation of speech signals, one of which is FastICA algorithm that maximizes negentropy, the other is information-maximization approach that maximizes the mutual information between inputs and outputs to give maximum independence among outputs. Word recognition rate for the Korean news sentences spoken by a male anchor is 87.85%, while there is 1.65% drop of performance on the average for the estimated speech signals by FastICA and 2.02% by information-maximization for the various signal to noise ratio(SNR). There is little difference between the methods.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2007.02a
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• pp.7-10
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• 2007

Since 2003, the biggest trade partner of South Korea has not been America but China. China appears to be a strong competitor of South Korea in every field of international market and even in IT industry, which has been one of the most competitive field of Korean Economy. IT Industry is now becoming a driving locomotive of economy in South Korea and China. It is reported that the IT gap between South Korea and China is shorten to be 1.7 years in 2006, from 2.6 years in 2003 and will be within one year in 2010. China has been aware of the urgent need of developing electronic and information industry in order to improve its productivity. In the results of the efforts to develop its IT industry, China has achieved average 25% yearly growth rate of IT manufacturing industry since 1991. Since 2004, South Korea has pursued IT 839 strategy. How South Korea and China can sustain the continuous development of IT industry. South Korea IT is expected to utilize China's through the mutual cooperation, which results in mutual benefit. To achieve the mutually benefited cooperation and specially to result in Small & Medium sized Korean companies' cooperation with China's, China is expected to improve the market system and create an environment of admitting intellectual property.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2587-2605
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• 2022

In order to efficiently detect community structure in complex networks, community detection algorithms can be designed from the perspective of node similarity. However, the appropriate parameters should be chosen to achieve community division, furthermore, these existing algorithms based on the similarity of common neighbors have low discrimination between node pairs. To solve the above problems, a noval community detection algorithm using closeness similarity based on common neighbor node clustering entropy is proposed, shorted as CSCDA. Firstly, to improve detection accuracy, common neighbors and clustering coefficient are combined in the form of entropy, then a new closeness similarity measure is proposed. Through the designed similarity measure, the closeness similar node set of each node can be further accurately identified. Secondly, to reduce the randomness of the community detection result, based on the closeness similar node set, the node leadership is used to determine the most closeness similar first-order neighbor node for merging to create the initial communities. Thirdly, for the difficult problem of parameter selection in existing algorithms, the merging of two levels is used to iteratively detect the final communities with the idea of modularity optimization. Finally, experiments show that the normalized mutual information values are increased by an average of 8.06% and 5.94% on two scales of synthetic networks and real-world networks with real communities, and modularity is increased by an average of 0.80% on the real-world networks without real communities.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.28 no.11
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• pp.1398-1406
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• 2004

The nonlinear signals from an impedance meter for the area average void fraction in two-phase flow have been analyzed to construct a phase space trajectory. The pseudo phase space was constructed with the time delay and proper dimensions. The time delay and the embedding dimension were chosen by the average mutual information and by the false nearest neighborhood, respectively. The attractor-density-map of projected states was used to produce the two dimensional probability distribution functions (2D-PDF). Since the developed 2D-PDF showed clear distinction of the flow patterns, the flow regime identification was made with three rules and with the 2D-PDF. Also, the transition criteria of Mishima-Ishii agree well with the present results.

• Journal of KIISE:Software and Applications
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• v.34 no.2
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• pp.160-168
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• 2007

For developing a text classifier using supervised learning, a manually labeled corpus of large size is required. However, it takes a lot of time and human effort. Recently a research paradigm was proposed to use a raw corpus and a small amount of seed information instead of manually labeled corpus. In this paper we introduce an unsupervised learning method that makes it possible to achieve better performance than other related works. The characteristics of our approach is that average mutual information is used to learn representative words and their weights and then update of the weights is done using a technique inspired by the works in information retrieval. By iterating this teaming process it was shown that a high performance system can be developed.

• Journal of Communications and Networks
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• v.15 no.5
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• pp.469-475
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• 2013

In this paper, we propose an efficient interference management technique which controls the number of resource blocks (or subcarriers) shared with other cells based on statistical interference levels among cells. The proposed technique tries to maximize average throughput of a femto cell user under a constraint on non-real time control of a femto cell network while guaranteeing a target throughput value of a macro cell user. In our proposed scheme, femto cells opportunistically use resource blocks allocated to other cells if the required average user throughput is not attained with the primarily allocated resource blocks. The proposed method is similar to the underlay approach in cognitive radio systems, but resource block sharing among cells is statistically controlled. For the statistical control, a femto cell sever constructs a table storing average mutual interference among cells and periodically updates the table. This statistical approach fully satisfies the constraint of non-real time control for femto cell networks. Our simulation results show that the proposed scheme achieves higher average femto user throughput than conventional frequency reuse schemes for time varying number of users.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.48 no.5
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• pp.46-53
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• 2011

The effect of a finite substrate on the radiation characteristics of a linear 7-element array antenna positioned along the E-plane is investigated. Active reflection coefficients and average active element patterns are simulated for various substrate sizes. The E-plane radiation pattern of a fully excited array for various scan angles is correlated with the active reflection coefficient and average acitive element pattern. The effect of E-plane substrate size on the radiation characteristics of a linear array along the E-plane is larger than that of H-plane substarte size.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.1007-1010
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• 2005

This paper presents a fingerprint image registration method. In the fingerprint system, the insufficiency of mutual information between a template and a query fingerprint is one of major factors to deteriorate recognition performance. To overcome this problem, we need to register multiple impressions and integrate their information. Our method matches the ridges from multiple impressions recursively and then registers the impressions to minimize the registration error calculated from the Distance map. Our method use regularized TPS model as the transformation model to compensate for the plastic deformation. We compare our method with 3 prior arts (ICP, Distance Map, Ross's method). Our registration error and its' variance is the smallest and also the average registration error is below 3 pixels.

• Journal of Korean Society of Rural Planning
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• v.12 no.1 s.30
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• pp.67-74
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• 2006

This survey was carried out in order to obtain and apply the basic information on levels of raising skill, recognition of mutual infection between animal and human field of skill training, registration of animal pedigree, mating places, difficulties of raising, channel of marketing, and prospects of raising by socio-ecological status. Data were randomly gathered from 713 peoples, who composed of 398 men and 315 women, from March to August, 2005. As the results, questionnaires were analyzed that relatively 'the level of breeding skill is middle(43.9%)'. The average score for skill level is 1.81$\pm$0.79 when 4 points were used as a full mark. The recognition of mutual infection between human and animal is answered that 'many respondents don't know very well(62.6%)'. The questionnaire answered largely that 'the field of raising skill training is trimming and grooming(29.2%)'. The respondents recognized that 'The pedigree registration of pet is not essential(52.7%)'. The pet breeders answered that 'the mating for reproduction was conducted mainly in pet shops(34.3%)'. The breeders indicated mostly that 'the difficulties of raising were technical skills of raising(53.5%)'. The respondents answered that 'the deal of marketing of animal was mainly achieved through neighbors and close relatives(42.8%)'. The many questionnaires were recognized that 'breeders have a good prospect for the pet industry in the future(51.5%)'.