• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.201-205
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• 2007

This paper proposes a link model that can provide the spacial position along the surface of the earth as an information or data using ePosition ID through the Internet. Moreover, to support the information service of maritime position, it needs the ENC linked technique based on S-57 that is an IHO transfer standard for digital hydrographic data. Therefore, it designs the linked model for applying and utilizing the ePosition technology with ENC data, as well as supplementing the base technology in applying them to marine related fields. As a study method, this paper first analyses ENC data model and structure, and converses for processing of ENC file to ePosition data. Finally, it derives the interconnection method with ePosition database and shows the ePosition service application based on the linked ENC data and its validity.

• The Journal of the Korea Contents Association
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• v.8 no.4
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• pp.264-272
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• 2008

In ubiquitous geographic information environment, the users are provided with geographic information anywhere and any time on their needs by any types of devices and communication media. The unique location ID, ePosition, is a new technology to support UBGI environment, using a logical location ID instead of physical location of a point of interest. Domain names of plural ePosition servers, where location information with its ePosition is stored, needs to be registered in DNS for some service through Internet. For better ePosition service of the type of public service like email service, a set of DNS resource records can be newly defined. This paper suggests a new DNS resource record EPO for implementation of the ePosition service through Internet.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.7
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• pp.1305-1310
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• 2007

ePosition is a technology that can provide the spacial position of the earth to the information of ePosition ID through the Internet. It is serving the information of land location based on the Internet using the ePosition technology now, but it needs the service technique which can supply the marine data and the information of maritime position. Moreover, to support the information service of marine position, it needs the ENC linked technique based on S-57 that is an IHO transfer standard for digital hydrographic data. In this paper, therefore, it develops a linkage method for applying and utilizing the ePosition technology to ENC data, and supplements the base technology for applying it to marine related fields. As study method, firstly, this paper analyses ENC data model and structure, and converses for processing ENC file to ePosition data. Lastly, it derives the interconnection method with ePosition database and shows the ePosition service application based on the linked data and its validity.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.9
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• pp.55-64
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• 2012

Until now, Side Channel Attack has been known to be effective to crack decrypt key such as smart cards, electronic passports and e-ID card based on Chip. Combination of Masking and shuffling methods have been proposed practical countermeasure. Newly, S.Tillich suggests biased-mask using template attack(TA) to attack AES with masking and shuffling. However, an additional assumption that is acquired template information previously for masking value is necessary in order to apply this method. Moreover, this method needs to know exact time position of the target masking value for higher probability of success. In this paper, we suggest new practical method called Biasing Power Analysis(BPA) to find a secret key of AES based on masking-shuffling method. In BPA, we don't use time position and template information from masking value. Actually, we do experimental works of BPA attack to 128bit secret key of AES based on masking-shuffling method performed MSP430 Chip and we succeed in finding whole secret key. The results of this study will be utilized for next-generation ID cards to verify physical safety.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.1-25
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• 2020

In this paper, we suggest an application system architecture which provides accurate, fast and efficient automatic gasometer reading function. The system captures gasometer image using mobile device camera, transmits the image to a cloud server on top of private LTE network, and analyzes the image to extract character information of device ID and gas usage amount by selective optical character recognition based on deep learning technology. In general, there are many types of character in an image and optical character recognition technology extracts all character information in an image. But some applications need to ignore non-of-interest types of character and only have to focus on some specific types of characters. For an example of the application, automatic gasometer reading system only need to extract device ID and gas usage amount character information from gasometer images to send bill to users. Non-of-interest character strings, such as device type, manufacturer, manufacturing date, specification and etc., are not valuable information to the application. Thus, the application have to analyze point of interest region and specific types of characters to extract valuable information only. We adopted CNN (Convolutional Neural Network) based object detection and CRNN (Convolutional Recurrent Neural Network) technology for selective optical character recognition which only analyze point of interest region for selective character information extraction. We build up 3 neural networks for the application system. The first is a convolutional neural network which detects point of interest region of gas usage amount and device ID information character strings, the second is another convolutional neural network which transforms spatial information of point of interest region to spatial sequential feature vectors, and the third is bi-directional long short term memory network which converts spatial sequential information to character strings using time-series analysis mapping from feature vectors to character strings. In this research, point of interest character strings are device ID and gas usage amount. Device ID consists of 12 arabic character strings and gas usage amount consists of 4 ~ 5 arabic character strings. All system components are implemented in Amazon Web Service Cloud with Intel Zeon E5-2686 v4 CPU and NVidia TESLA V100 GPU. The system architecture adopts master-lave processing structure for efficient and fast parallel processing coping with about 700,000 requests per day. Mobile device captures gasometer image and transmits to master process in AWS cloud. Master process runs on Intel Zeon CPU and pushes reading request from mobile device to an input queue with FIFO (First In First Out) structure. Slave process consists of 3 types of deep neural networks which conduct character recognition process and runs on NVidia GPU module. Slave process is always polling the input queue to get recognition request. If there are some requests from master process in the input queue, slave process converts the image in the input queue to device ID character string, gas usage amount character string and position information of the strings, returns the information to output queue, and switch to idle mode to poll the input queue. Master process gets final information form the output queue and delivers the information to the mobile device. We used total 27,120 gasometer images for training, validation and testing of 3 types of deep neural network. 22,985 images were used for training and validation, 4,135 images were used for testing. We randomly splitted 22,985 images with 8:2 ratio for training and validation respectively for each training epoch. 4,135 test image were categorized into 5 types (Normal, noise, reflex, scale and slant). Normal data is clean image data, noise means image with noise signal, relfex means image with light reflection in gasometer region, scale means images with small object size due to long-distance capturing and slant means images which is not horizontally flat. Final character string recognition accuracies for device ID and gas usage amount of normal data are 0.960 and 0.864 respectively.

• Journal of Korean Theatre Studies Association
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• no.48
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• pp.333-368
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• 2012

Dans l'histoire du $th{\acute{e}}{\hat{a}}tre$ $cor{\acute{e}}en$, la position de Chae yoon-il est $tr{\grave{e}}s$ $particuli{\grave{e}}re$. Il a $consacr{\acute{e}}$, dans ses $carri{\grave{e}}res$ de la mise en $sc{\grave{e}}ne$, toute son ${\acute{e}}nergie$ au $th{\acute{e}}{\hat{a}}tre$ sans jamais $fl{\acute{e}}chir$ contre le pouvoir dictatorial. Un critique a dit que son $th{\acute{e}}{\hat{a}}tre$ est semblable au $th{\acute{e}}{\hat{a}}tre$ de la $cruaut{\acute{e}}$. Pourtant, dans la mesure $o{\grave{u}}$ il respecte le texte dramatique, et que son $th{\acute{e}}{\hat{a}}tre$ a des tendances de la politique et qu'il oriente l'engagement du spectateur, il est certain que son $th{\acute{e}}{\hat{a}}tre$ est loin du $th{\acute{e}}{\hat{a}}tre$ de la $cruaut{\acute{e}}$. Ses $proc{\acute{e}}d{\acute{e}}s$ de la mise en $sc{\grave{e}}ne$ sont $tr{\grave{e}}s$ divers et il n'y a pas de $coh{\acute{e}}rences$ au niveau des styles dramatiques. $Malgr{\acute{e}}$ cela, nous pouvons trouver son $originalit{\acute{e}}$ de la mise en $sc{\grave{e}}ne$ dans la rencontre avec Lee hyun-wha. Le metteur en $sc{\grave{e}}ne$ ${\acute{e}}tablit$ son $esth{\acute{e}}tique$ $th{\acute{e}}{\hat{a}}trale$ en montant sur $sc{\grave{e}}ne$ de cinq $pi{\grave{e}}ces$ de Lee hyun-wha. Alors, en effet qu'est-ce que $l^{\prime}esth{\acute{e}}tique$ de la mise en $sc{\grave{e}}ne$ de Chae yoon-il produite par les ${\oe}uvres$ $th{\acute{e}}{\hat{a}}trales$ de Lee hyun-wha? Dans les $pi{\grave{e}}ces$ de Lee hyun-wha, il y a beaucoup de codes symboliques de la violence sexuelle comme le sadisme et le masochisme. L'implusion sexuelle $cach{\acute{e}}e$ dans le subconscient des personnages s'entrecroise avec le $m{\acute{e}}canisme$ du pouvoir politique. Alors, les abus sexuels et les mauvais traitements sur le corps deviennent une sorte de torture. L'expression cruelle des langages $sc{\acute{e}}niques$ n'est autre que la $r{\acute{e}}volte$ contre la $r{\acute{e}}alit{\acute{e}}$ actuelle de la politique. Son $th{\acute{e}}{\hat{a}}tre$ de torture est donc une sorte de $m{\acute{e}}canisme$ de la catharsis pour dissiper le cauchemar et l'inconscient noir. La fantasie sexuelle construite par le monde inconscient de l'auteur dramatique $s^{\prime}{\acute{e}}panouit$ dans le $th{\acute{e}}{\hat{a}}tre$ de Chae yoon-il qui $r{\hat{e}}ve$ toujours l'esprit de la $libert{\acute{e}}$. Une des convictions dramatiques du metteur en $sc{\grave{e}}ne$, c'est que le $th{\acute{e}}{\hat{a}}tre$ tout d'abord doit ${\hat{e}}tre$ choquant. Il dit : "l'art doit ${\hat{e}}tre$ ${\grave{a}}$ la fois ${\acute{e}}mouvant$ et bouleversant. Cependant, dans la mesure $o{\grave{u}}$ le film ou la $t{\acute{e}}l{\acute{e}}vivion$ fait aujourd'hui une vive impression aux spectateurs, la part $donn{\acute{e}}e$ au $th{\acute{e}}{\hat{a}}tre$ est le choc." Pour donner le choc aux spectateurs, le style de la torture est $tr{\grave{e}}s$ utile. $L^{\prime}esth{\acute{e}}tique$ $th{\acute{e}}{\hat{a}}tral$ du metteur en $sc{\grave{e}}ne$ respecte essentiellement l'intention de l'auteur. $N{\acute{e}}anmois$, le respect sur l'original ne se $d{\acute{e}}range$ pas $l^{\prime}interpr{\acute{e}}tation$ de son propre $id{\acute{e}}e$. Dans l'insistance de la torture, l'analyse rituelle sous la base du choc, il projecte le symbole $arch{\acute{e}}typal$ sur $sc{\grave{e}}ne$. Bien $s{\hat{u}}r$, il renforce le $caract{\grave{e}}re$ de la politique dans le $th{\acute{e}}{\hat{a}}tre$ de torture pour inviter des spectateurs de l'engagement. D'ailleurs, il y a l'aspect d'absurde dans le $th{\acute{e}}{\hat{a}}tre$ de torture qui insiste des violences ${\grave{a}}$ travers les langages $sc{\acute{e}}niques$ comme le $m{\acute{e}}tal$ froid, parce que le metteur en $sc{\grave{e}}ne$ $consid{\grave{e}}re$ que $l^{\prime}{\hat{e}}tre$ humain vit dans l'absurde.