• Journal of the Korean Chemical Society
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• v.28 no.5
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• pp.315-322
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• 1984

The dependence of polarographic parameters on the pressure for the reduction of In(III), Cr(III), Cd(II), Pb(II), Mn(II), Co(II), Tl(I) in 0.1M KCl aqueous solution at the dropping mercury electrode have been discussed. In this experiment the temperature varied from $25^{\circ}C\;to\;35^{\circ}C$ and the pressure ranges from 1 atmosphere to 1,800 atmospheres. By increasing the pressure the reduction half-wave potentials of all metal ions are shifted markedly to more negative values and the diffusion currents of all metal ions become considerably larger. The slope of the linear relationship of E vs. log[$\frac{id-i)}{i}$] become much larger with increase in pressure, which indicates more irreversible reduction. The temperature coefficient observed over the range of the temperature from $25^{\circ}C\;to\;35^{\circ}C$ are not sensitive with increase in pressure.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.1
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• pp.50-58
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• 2003

In this paper, a new cm (Caller ID) transceiver is introduced for SMS(Short Message Service) and e-mail services by the wire and digital cordless phones in 900MHz like as mobile phones. For this wireless digital cm phone, improved radio transceiver modules is proposed and implementedusing the analysis of data processing errors. As a result, many wireless cm services can be popular without the kind of switching systems.

• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.4
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• pp.141-149
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• 1998

One of the difficulties in using the current Boolean-based information retrieval systems is that it is hard for a user, especially a novice, to formulate an effective Boolean query. One solution to this problem is to let the system formulate a query for a user from his relevance feedback documents in this research, an intelligent query reformulation mechanism based on ID3 is proposed and the sensitivity of its retrieval effectiveness, i.e., recall, precision, and E-measure, to various input settings is analyzed. The parameters in the input settings is the number of relevant documents. Experiments conducted on the test set of Medlars revealed that the effectiveness of the proposed system is in fact sensitive to the number of the initial relevant documents. The case with two or more initial relevant documents outperformed the case with one initial relevant document with statistical significances. It is our conclusion that formulation of an effective query in the proposed system requires at least two relevant documents in its initial input set.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.277-279
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• 2000

인터넷 쇼핑몰의 급증으로 각 쇼핑몰은 경쟁적으로 표적판매의 전략으로써 상품 광고나 쇼핑 정보 등을 회원들에게 e-mail로 제공해 주고 있지만 여러 쇼핑몰에 회원으로 가입되어 있는 인터넷 사용자들에게 이런 무분별하고 획일적인 광고는 오히려 번거로운 것일 수 있으며 더욱이 그 내용이 관심 밖의 것일 경우 무가치한 정보 공해에 지나지 않게 된다. 본 논문에서는 등록된 사용자의 프로파일 정보와 학습된 쇼핑패턴을 토대로 그 사용자의 관심도와 쇼핑이 필요한 시기를 예측하여 e-mail로 개인화된 광고 및 추천서비스를 제공하는 비교 쇼핑 시스템을 제안한다. 이를 위해 상품별 구매속성이 반영된 코드를 상품의 ID로 정하여 구매속성별 분류와 검색 및 갱신이 쉽고 정확하게 이루어지도록 하였고 별도의 학습 과정 없이 코드의 검색만으로 선별된 상품을 자동으로 광고와 추천하는 것이 가능하다.

• Transactions of the Korean Society of Automotive Engineers
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• v.11 no.2
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• pp.69-74
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• 2003

An experimental feasibility study of the E3.9 engine with CP3.3 and EDC7C was conducted to understand the initial performance and the possibility for EURO-III regulation. ID cycle simulation for concept study was conducted using the BOOST. Also, some basic investigations through such various parameters as injection timing and rail pressure have been carried out to find the feasibility on EURO-III ESC mode. Based on the results, the feasibility of the E3.9 engine for EURO-III characteristics such as performance, emissions, and fuel economy was demonstrated.

• International Journal of Contents
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• v.5 no.1
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• pp.51-55
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• 2009

In this paper, we present a structure of personalized e-Learning system to study for a test formalized by uniform multiple-choice using on/off line mixed estimations as is the case of Driver :s License Test in Korea. Using the system a candidate can study toward the license through the Internet (and/or mobile instruments) within the personalized concept based on IRT(item response theory). The system accurately estimates user's ability parameter and dynamically offers optimal evaluation problems and learning contents according to the estimated ability so that the user can take possession of the license in shorter time. In order to establish the personalized e-Learning concepts, we build up 3 databases and 2 agents in this system. Content DB maintains learning contents for studying toward the license as the shape of objects separated by concept-unit. Item-bank DB manages items with their parameters such as difficulties, discriminations, and guessing factors, which are firmly related to the learning contents in Content DB through the concept of object parameters. User profile DB maintains users' status information, item responses, and ability parameters. With these DB formations, Interface agent processes user ID, password, status information, and various queries generated by learners. In addition, it hooks up user's item response with Selection & Feedback agent. On the other hand, Selection & Feedback agent offers problems and content objects according to the corresponding user's ability parameter, and re-estimates the ability parameter to activate dynamic personalized learning situation and so forth.

• The Korean Journal of Nuclear Medicine
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• v.32 no.4
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• pp.374-381
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• 1998

Purpose: I-131 labeled (2'-deoxy-2'-iodo-${\beta}$-D-arabinofuranosyl) adenine (IAD) may be involved in DNA synthesis during active proliferation of tumor cells. We conducted this study to find out the biodistribution of IAD and it's feasibility for scintigraphic tumor imaging. Materials and Methods: Tosyl acetyl-adenosine was dissolved in acetonitrile, and I-131-NaI was added and heated to synthesize IAD. Female Fisher 344 rats innoculated with breast tumor cells were injected with 0.27 MBq of IAD. Rats were sacrificed at 0.5, 1, 2, 4, 24h and the % of injected dose per gram of tissue (%ID/g) was determined. For scintigraphy, rats bearing breast cancer were administered with 1.11 MBq of IAD and imaging was performed after 2 and 24h. Then, rat body was fixed and microtomized slice was placed on radiographic film for autoradiography. Results: %ID/g of tumor was 0.74 (0.5h),0.73 (1h), 0.55 (2h), 0.38 (4h), and 0.05 (24h), respectively. At 1h after injection, %ID/g of tumor was higher than that of heart (0.34), liver (0.42), spleen (0.47), kidney (0.69), muscle (0.14), bone (0.33) and intestine (0.51). However, %ID/g of tumor was lower than blood (1.06), lung (0.77), and thyroid (177.71). At 4h, %ID/g of tumor in comparison with other tissue did not change. Tumor contrast expressed by tumor to blood ratio was 0.69 and tumor to muscle ratio was 5.11 at 1h. However, these ratios did not improve through 24h. On autoradiogram and scintigraphy at 2 and 24 hour, the tumor was well visualized. Conclusion: This results suggest that IAD may have a potential for tumor scintigraphy. However, further work is needed to improve localization in tumor tissue.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.113-123
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• 2023

This paper introduces the Cherry system, a user-independent blockchain donation system. This is a procedure that is delivered to the beneficiary's bank account through a virtual account when a donor makes a donation, so there is no difference from the existing donation delivery method from the user's point of view However, within the blockchain, Cherry Points, a virtual currency based on the user ID, are issued and delivered to the beneficiary, while all transactions and the beneficiary's usage history are managed on the blockchain. By adopting this method, there was an improvement in blockchain performance, with transaction processing exceeding 1,000 TPS in typical transaction condition and service completion within 21.3 seconds. By applying the automatic influence control algorithm to this system, the influence according to stake, which is an individual donation, is greatly reduced to 0.3 after 2 months, thereby concentrating influence could be controlled automatically. In addition, it was designed to enable micro tracking by adding a tracking function by timestamp to the donation ledger for each individual ID, which greatly improved the transparency in the use of donations. From a service perspective, existing blockchain donation systems were handled as limited donation delivery methods. Since it is a direct service in a user-independent method, convenience has been greatly improved by delivering donations in various forms.

• Journal of Korean Philosophical Society
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• v.105
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• pp.49-74
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• 2008

Le but de notre recherche est $d^{\prime}{\acute{e}}clairer$ la nature du $d{\acute{e}}passement$ de soi aux actes humaines dnas le Thomisme. Dans le Thomisme la nature humaine qui a la raison et la $volont{\acute{e}}$ a une $intentionnalit{\acute{e}}$ ver la fin ultime. De sorte que les actes humaines qui $corr{\grave{e}}spondent$ cette nature humaine a un $caract{\grave{e}}re$ du $d{\acute{e}}passement$ de soi visant toujours plus que le $pr{\acute{e}}sent$. Le fondement de cet acte du $d{\acute{e}}passement$ de soi est $l^{\prime}{\hat{a}}me$ rationelle qui est la forme substantielle de l'homme et de soi subsistante. Chez st. Thomas ce $caract{\grave{e}}re$ du $d{\acute{e}}passement$ a trois ${\acute{e}}taps$ distinctes : (1)le $d{\acute{e}}passement$ dans l'ordre du $progr{\grave{e}}s$ naturel (2)le $d{\acute{e}}passement$ de soi dans l'ordre morale (3)le $d{\acute{e}}passement$ de soi dans l'ordre de la religion. Le $d{\acute{e}}passement$ dans l'ordre du $progr{\grave{e}}s$ naturel apparaît d'abord au $caract{\grave{e}}re$ de $l^{\prime}{\hat{a}}me$ rationelle. St. Thomas $d{\acute{e}}finit$ les vertus rationelles comme $^{\prime}pl{\acute{e}}nitude$ dans le $f{\acute{e}}blesse$, parce qu'il $consid{\grave{e}}re$ la vertu rationelle comme $finalit{\acute{e}}$ des $facult{\acute{e}}s$ du sens $ext{\acute{e}}rieur$. L'homme par le sens $ext{\acute{e}}rieur$ reçoit des $esp{\grave{e}}ces$ sensibles(especies sensibilis), et $poss{\grave{e}}de$ les images. Puis cette images sensible devenant la $r{\acute{e}}alit{\acute{e}}$ spirituelle sous forme du $m{\acute{e}}moire$ et du souvenir, devient aussi la partie de son existence. Donc chez st. Thomas la vertue rationnelle n'est pas simplement un $facult{\acute{e}}$ $sp{\acute{e}}culative$, mais elle est dans l'ordre du devenir et du $pl{\acute{e}}nitude$. A cette raison st. Thomas compare la raison(ratio) comme $g{\acute{e}}n{\acute{e}}ration$(generatio) et l'intelleigence(intellectus) comme ${\hat{e}}tre$(esse). C'est-${\grave{a}}$-dire la raison $d{\acute{e}}passe$ le sensible et l'intelligence $d{\acute{e}}passe$ la raison. Le $d{\acute{e}}passement$ de soi dans l'ordre morale $li{\acute{e}}$ au $progr{\grave{e}}s$ de la conscience. Chez st. Thomas la perception de l'objet $ext{\acute{e}}rieur$ ayant pour but d'avoir conscience de soi, se perfectionne ${\grave{a}}$ ceci. D'avoir conscience de soi signifie d'avoir $l^{\prime}identit{\acute{e}}$ de soi, et de-$l{\grave{a}}$ apparaît l'acte moral en tnat qu'acte $sp{\acute{e}}cifique$ humain. La raison pour laquelle la vie morale elle-$m{\hat{e}}me$ a un $caract{\grave{e}}$ du $d{\acute{e}}passement$, c'est que l'acte humaine qui corresfonde ${\grave{a}}$ $l^{\prime}identit{\acute{e}}$ du soi est une vie qui vise toujours plus que le $pr{\acute{e}}sent$ ou $l^{\prime}id{\acute{e}}al$. Quant au problem du $d{\acute{e}}passement$ dans l'ordre de la religion, chez st. Thomas en raison de $l^{\prime}affinit{\acute{e}}$ entre Dieu et l'homme, $o{\grave{u}}$ il y a des vertues infuses(virtutes infusas), il y a une sorte du $d{\acute{e}}passement$ religieux. Car ces vertues infuses signifie la communication entre Dieu(${\hat{E}}tre$ absolu) et l'homme(${\hat{e}}tre$ fine) et cela signifie le $d{\acute{e}}passement$ de l'humain vers le divin. Cette $id{\acute{e}}e$ thomiste permet de penser que $o{\grave{u}}$ il y a un $d{\acute{e}}passement$ de soi dans la vie religuse d'une personne, il y a une intervention $r{\acute{e}}elle$ de la providence divine. Cette $pens{\acute{e}}e$ thomiste sera alors un $caract{\grave{e}}$ $r{\acute{e}}aliste$ face ${\grave{a}}$ la $pens{\acute{e}}e$ $id{\acute{e}}aliste$ qui n'admette que le $d{\acute{e}}passement$ absolu comme $d{\acute{e}}passement$ religieux.

• 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.