• Journal of Korean Library and Information Science Society
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• v.32 no.1
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• pp.171-200
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• 2001

Electronic Copyright Management System is the technical solution to protect copyright and to manage the distribution of digital contents in network environment. This paper examined the theoretical plane of Electronic Copyright Management System and analyzed the characteristics and the protection technologies of some of the commercial systems. And this paper investigated the essential protection technologies and payment systems that is needed to develop and manage the successful system in the future. Finally this study suggested the fundamental function model of Electronic Copyright Management System.

• Journal of the Korean Society for information Management
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• v.18 no.3
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• pp.41-62
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• 2001

Effective resource management in the digital library should be implemented for the whole accessible sources on the network including multimedia one such as image files other than texts which focus on books. Contents management can be resource management of digital library in terms of wide scope, moreover, it\`s main function is to provide effectively tailor-made knowledge contents for users\` diversified objective of information usage. In this study, I examined main factors for more effective and advanced knowledge management including web resources under the current digital environment. First of all, I described closely several types of conceptualization and trails regarding more effective contents management and came up with advanced user-centered contents management system, i.e., user factors, intermediary factors, and finally service ones.

• IMMUNE NETWORK
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• v.4 no.1
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• pp.7-15
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• 2004

Background: The heat shock proteins (HSPs) play an important role in cellular protection mechanisms against physical or chemical stresses. In this study scFv antibodies specific for human HSP70.1 were isolated from a semi-synthetic human scFv library with the ultimate goal of developing anti-HSP70.1 intracellular antibody (intrabody) that may offer an attractive alternative to gene targeting to study the function of the protein in cells. Methods: A semi-synthetic human scFv display library ($5{\times}10^{8}$ size) was constructed using pCANTAB-5E vector and the selection of the library against bacterially expressed recombinant human HSP70.1 was attempted by panning. Results: Three positive clones specific for recombinant HSP70.1 were identified. All three clones used $V_{H}$ subgroup III. On the other hand, $V_{L}$ of two clones belonged to the kappa light chain subgroup I, but the other utilized $V_{k}$ subgroup IV Interestingly, these scFv molecules specifically reacted to the recombinant HSP70.1, yet failed to recognize native HSP70 induced in U937 human monocytic cells by heat treatment. Conclusion: Our results indicated that affinity selection of an scFv phage display library using recombinant antigens produced in E. coli might not guarantee the isolation of scFv antibody molecules specific for a native form of the antigen. Therefore, the source of target antigens needs to be chosen carefully in order to isolate biofunctional antibody molecules.

• Journal of the Korean Society of Propulsion Engineers
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• v.25 no.6
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• pp.1-11
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• 2021

To develop an efficient procedure related to the flamelet library, the machine learning process based on artificial neural network(ANN) is applied for the gaseous hydrogen/liquid oxygen combustor under a supercritical pressure condition. For hidden layers, 25 combinations based on Rectified Linear Unit(ReLU) and hyperbolic tangent are adopted to find an optimum architecture in terms of the computational efficiency and the training performance. For activation functions, the hyperbolic tangent is proper to get the high learning performance for accurate properties. A transformation learning data is proposed to improve the training performance. When the optimal node is arranged for the 4 hidden layers, it is found to be the most efficient in terms of training performance and computational cost. Compared to the interpolation procedure, the ANN procedure reduces computational time and system memory by 37% and 99.98%, respectively.

• Journal of Korean Library and Information Science Society
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• v.36 no.2
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• pp.263-281
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• 2005

This study was to elucidate the theoretical backgrounds and realities of consumer health information services from a review of the literature, to manifest the actual conditions of consumer health information services by domestic hospital libraries and public libraries, and then to activate library services at least to meet the needs of the services by enhancing their role for consumer demand for health information. This paper propose to activate consumer health information services, as follows : First, librarians both in hospital and in public libraries cognize that consumer health information services really are needed. Furthermore, they expect that when consumer health information services are implemented, the function of the library would be expanded even to the realm of preventive health medical care for consumers and as well as to the patients' right to know. Second, it is recommended that hospital libraries should actively perform their consumer health information services, along with the active collection of health information and materials and develop related bibliographies for hospital libraries to provide patients and their families with medical information. Public libraries also are required to actively collect, maintain and manage health information and to equip themselves with special books in their reference rooms. Third, it is recommended to launch such a cooperation network with a subsystem of MEDLIS as CHIN or CHIPS in the United States of America, to construct an integrated database of consumer health information and materials, an interlibrary system, a reference room service system as well as a cooperation network among hospital and public libraries.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.4
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• pp.5-30
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• 2015

The attention to higher education of individuals with disabilities has been increased. But, there is no concern for successful university life of students with visual impairment. The purpose of this study is to propose systematic learning-support systems for enhancing the rights of college students with visual impairment in accessing and using library materials. To accomplish the purpose of this study, the current states of alternative material system for those with visual impairment and use behavior of college students with visual impairment in Korea were analyzed. This study concluded with the following strategies for constructing the systematic support system for the alternative materials for college students with visual impairment: 1) improvement of The National Library for Individuals with Disabilities' function; 2) empowerment of service center for student with disabilities in University through strengthening network; 3) technical and systematic improvement for copyright protection.

• Journal of Korean Library and Information Science Society
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• v.21
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• pp.253-289
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• 1994

The purpose of this study is about the search pattern of LINNET (Library Information Network System) OPAC users by transaction log, maintained by POSTECH(Pohang University of Science and Technology) Central Library, to provide feedback information of OPAC system design. The results of this study are as follows. First, for the period of this analysis, there were totally 11, 218 log-ins, 40, 627 transaction logs and 3.62 retrievals per a log-in. Title keyword was the most frequently used, but accession number, bibliographic control number or call number was very infrequently used. Second, 47.02% of OPAC, searches resulted in zero retrievals. Bibliographic control number was the least successful search. User displayed 2.01% full information and 64.27% local information per full information. Third, special or advanced retrieval features are very infrequently used. Only 22.67% of the searches used right truncation and 0.71% used the qualifier. Only 1 boolean operator was used in every 22 retrievals. The most frequently used operator is 'and (&)' with title keywords. But 'bibliographical control number (N) and accessionnumber (R) are not used at all with any operators. The causes of search failure are as follows. 1. The item was not used in the database. (15, 764 times : 79.42%). 2. The wrong search key was used. (3, 761 times : 18.95%) 3. The senseless string (garbage) was entered. (324 times : 1.63%) On the basis of these results, some recommendations are suggested to improve the search success rate as follows. First, a n.0, ppropriate user education and online help function let users retrieve LINNET OPAC more efficiently. Second, several corrections of retrieval software will decrease the search failure rate. Third, system offers right truncation by default to every search term. This methods will increase success rate but should considered carefully. By a n.0, pplying this method, the number of hit can be overnumbered, and system overhead can be occurred. Fourth, system offers special boolean operator by default to every keyword retrieval when user enters more than two words at a time. Fifth, system assists searchers to overcome the wrong typing of selecting key by automatic korean/english mode change.

• Structural Engineering and Mechanics
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• v.85 no.4
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• pp.469-484
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• 2023

A deep recursive bidirectional Cuda Deep Neural Network Long Short Term Memory (Bi-CuDNNLSTM) layer is recruited in this paper to predict the entire force time histories, and the corresponding hysteresis and backbone curves of reinforced concrete (RC) bridge piers using experimental fast and slow cyclic tests. The proposed stacked Bi-CuDNNLSTM layers involve multiple uncertain input variables, including horizontal actuator displacements, vertical actuators axial loads, the effective height of the bridge pier, the moment of inertia, and mass. The functional application programming interface in the Keras Python library is utilized to develop a deep learning model considering all the above various input attributes. To have a robust and reliable prediction, the dataset for both the fast and slow cyclic tests is split into three mutually exclusive subsets of training, validation, and testing (unseen). The whole datasets include 17 RC bridge piers tested experimentally ten for fast and seven for slow cyclic tests. The results bring to light that the mean absolute error, as a loss function, is monotonically decreased to zero for both the training and validation datasets after 5000 epochs, and a high level of correlation is observed between the predicted and the experimentally measured values of the force time histories for all the datasets, more than 90%. It can be concluded that the maximum mean of the normalized error, obtained through Box-Whisker plot and Gaussian distribution of normalized error, associated with unseen data is about 10% and 3% for the fast and slow cyclic tests, respectively. In recapitulation, it brings to an end that the stacked Bi-CuDNNLSTM layer implemented in this study has a myriad of benefits in reducing the time and experimental costs for conducting new fast and slow cyclic tests in the future and results in a fast and accurate insight into hysteretic behavior of bridge piers.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.239-240
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• 2012

With advancements in semiconductor device technologies, manufacturing processes are getting more complex and it became more difficult to maintain tighter process control. As the number of processing step increased for fabricating complex chip structure, potential fault inducing factors are prevail and their allowable margins are continuously reduced. Therefore, one of the key to success in semiconductor manufacturing is highly accurate and fast fault detection and classification at each stage to reduce any undesired variation and identify the cause of the fault. Sensors in the equipment are used to monitor the state of the process. The idea is that whenever there is a fault in the process, it appears as some variation in the output from any of the sensors monitoring the process. These sensors may refer to information about pressure, RF power or gas flow and etc. in the equipment. By relating the data from these sensors to the process condition, any abnormality in the process can be identified, but it still holds some degree of certainty. Our hypothesis in this research is to capture the features of equipment condition data from healthy process library. We can use the health data as a reference for upcoming processes and this is made possible by mathematically modeling of the acquired data. In this work we demonstrate the use of recurrent neural network (RNN) has been used. RNN is a dynamic neural network that makes the output as a function of previous inputs. In our case we have etch equipment tool set data, consisting of 22 parameters and 9 runs. This data was first synchronized using the Dynamic Time Warping (DTW) algorithm. The synchronized data from the sensors in the form of time series is then provided to RNN which trains and restructures itself according to the input and then predicts a value, one step ahead in time, which depends on the past values of data. Eight runs of process data were used to train the network, while in order to check the performance of the network, one run was used as a test input. Next, a mean squared error based probability generating function was used to assign probability of fault in each parameter by comparing the predicted and actual values of the data. In the future we will make use of the Bayesian Networks to classify the detected faults. Bayesian Networks use directed acyclic graphs that relate different parameters through their conditional dependencies in order to find inference among them. The relationships between parameters from the data will be used to generate the structure of Bayesian Network and then posterior probability of different faults will be calculated using inference algorithms.

• The KIPS Transactions:PartD
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• v.10D no.6
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• pp.1017-1024
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• 2003

Jini is a promising HomeNetworking middleware of computing environment based on Java Technology. To support Homenetwork service based on Jini, Jini device requires a successive operation and complicated management. In this paper, our service management system is a service provider component and lookup service component including automation module. Our automatin module privide searching and setting function of a library, runtime environment and class file system cinfiguration information for Jini service. Our system can be accomplished by automation of runtime environment, simplification of service management structure, visualization of service execution.