• Journal of the Korean Society for Library and Information Science
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• v.26
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• pp.235-256
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• 1994

The purpose of this paper is to review concerns and activities related to the library of Germany as well as to look over recent trends referred to the maintenance of the library and its information service system since the unification of Germany in 1990. In fact, since the unification, many libraries in old East Germany have been closed with some precious books being lost. Also since most of libraries are short of funds and proper materials, it is real situation that they can not actively respond to the demand of information by library users who want to adapt themselves to changes, while only urgently requesting some support from old West Germany. In the meantime, the new government and libraries of Germany are giving a great effort to building an efficient document delivery system through financial support for the expansion of books and the purchase of urgently necessary library equipments in the poor libraries of old East Germany and support for the course to re-educate the in-service or unemployeed librarians, and also systematic organization between similar libraries, integration of national bibliographies, and maintenance of the interlibrary loan system. The nationwide interlibrary loan system, an expanded form of the system of old West Germany, allows the delivery of document to be easily performed, centered on both central cataloues for East Germany and West. However, in order to build an efficient information service system which covers whole Germany, it seems there needs more time required.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.12
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• pp.4326-4344
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• 2021

The SinGAN is one of generative adversarial networks that can be trained on a single nature image. It has poor ability to learn more global features from nature image, and losses much local detail information when it generates arbitrary size image sample. To solve the problem, a non-linear function is firstly proposed to control downsampling ratio that is ratio between the size of current image and the size of next downsampled image, to increase the ratio with increase of the number of downsampling. This makes the low-resolution images obtained by downsampling have higher proportion in all downsampled images. The low-resolution images usually contain much global information. Therefore, it can help the model to learn more global feature information from downsampled images. Secondly, the attention mechanism is introduced to the generative network to increase the weight of effective image information. This can make the network learn more local details. Besides, in order to make the output image more natural, the TVLoss function is introduced to the loss function of SinGAN, to reduce the difference between adjacent pixels and smear phenomenon for the output image. A large number of experimental results show that our proposed model has better performance than other methods in generating random samples with fixed size and arbitrary size, image harmonization and editing.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.8
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• pp.2718-2731
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• 2021

In the structural health monitoring of composite materials, in order to solve the ill-posed problem of impact force reconstruction, regularization techniques are often used to deal with it. Due to the poor convergence of the traditional Tikhonov regularization method, in order to accurately reconstruct the time history of the impact force, this paper improves Tikhonov regularization method and constructs homotopy function with strong convergence. Since the optimal regularization parameters need to be found in the homotopy function, the Newton downhill method is used to find the optimal parameters and the homotopy function can be calculated, which can accurately reconstruct the time history of the impact force. In order to verify the universality of the method in this paper, impact hammers of different materials were used in the experiment in this paper to study and compare the reconstruction effect of impact time history of different impact hammers.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.3
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• pp.65-74
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• 2016

The Korean resident registration number has been used since 1962 as a personal identification number. The Korean government assigns this number to each korean citizen and it is not able to be changed. In 2000s, as the Internet was rapidly spreaded out, personal information such as the Korean resident registration number, name, home address, and phone number was leaked. The companies provide diverse internet service while collecting personal information. However, personal information was sometimes leaked because of hacking, poor information management and so on. As s results, some of citizens asked government and court of Korea to change the Korean resident registration number because they suffered material damage and emotional distress. The constitutional court decided to be able to change the number from 2018. In this study, the Korean resident registration number which is possible to change, serial number, public certificate, I-PIN, and My-PIN were analyzed comparatively. In addition, considerations when the Korean resident registration number was changed were discussed. The public certificate and I-PIN were appropriate to the case of on-line Korean resident registration number. The Korean resident registration number, serial number, My-PIN were appropriate to the case of off-line Korean resident registration number. Lastly, it would be efficient to manage the Korean resident registration number separately such as on-line and off-line.

• Journal of information and communication convergence engineering
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• v.8 no.4
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• pp.377-382
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• 2010

With the advent of flash memory based new storage device (SSD), there is considerable interest within the computer industry in using flash memory based storage devices for many different types of application. The dynamic index structure of large text collections has been a primary issue in the Information Retrieval Applications among them. Previous studies have proven the three approaches to be effective: In- Place, merge-based index structure and a combination of both. The above-mentioned strategies have been researched with the traditional storage device (HDD) which has a constraint on how keep the contiguity of dynamic data. However, in case of the new storage device, we don' have any constraint contiguity problems due to its low access latency time. But, although the new storage device has superiority such as low access latency and improved I/O throughput speeds, it is still not well suited for traditional dynamic index structures because of the poor random write throughput in practical systems. Therefore, using the experimental performance evaluation of various index maintenance schemes on the new storage device, we propose an efficient index structure for new storage device that improves significantly the index maintenance speed without degradation of query performance.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.10
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• pp.159-186
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• 1999

This study attempted to present the ways of improving relationship marketing activities of tourist hotels. The field survey was carried out at six deluxe hotels in Seoul to find out their relationship marketing activities and analyze the problems of the activities. The problems were analyzed as follow; 1) lack of adequate understanding of the importance of relationship marketing, 2) poor contents of customer file information, 3) insufficient service encounter management, 4) negative inducement of guests' complaints, 5) insufficient survey of guests' satisfaction, 6) insufficient relationship maintenance programs and regaining program of lost guests. This study relationship marketing activities should be improved with customer information file establishment, service encounter mangement, and communication enforcement as follow; 1. Customer Information File Establishment As relationship marketing Is marketing for individual, it needs customer file information. The guest information files should be made in detail in all the market segments. Hotels have to make use of the information strategically for establishing relationship with their guests. 2. Service Encounter Mnagement Because the guest-oriented mind and professionalism of hotel staff are prerequisite for relationship continuity, hotel should make efforts to make its staff keep the mind and cultivate expert service technique of the staff. 3. Communication Enforcement Communication enforcement consists of communication activities and communication programs which are focused on contact intensity and two-way communication.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.4
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• pp.1200-1215
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• 2023

With the development of IoT and artificial intelligence, location-based services are getting more and more attention. For solving the current problem that indoor positioning error is large and generalization is poor, this paper proposes a Model Stacking Algorithm for Indoor Positioning System using WiFi fingerprinting. Firstly, we adopt a model stacking method based on Bayesian optimization to predict the location of indoor targets to improve indoor localization accuracy and model generalization. Secondly, Taking the predicted position based on model stacking as the observation value of particle filter, collaborative particle filter localization based on model stacking algorithm is realized. The experimental results show that the algorithm can control the position error within 2m, which is superior to KNN, GBDT, Xgboost, LightGBM, RF. The location accuracy of the fusion particle filter algorithm is improved by 31%, and the predicted trajectory is close to the real trajectory. The algorithm can also adapt to the application scenarios with fewer wireless access points.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3364-3382
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• 2023

Remote sensing image segmentation plays an important role in realizing intelligent city construction. The current mainstream segmentation networks effectively improve the segmentation effect of remote sensing images by deeply mining the rich texture and semantic features of images. But there are still some problems such as rough results of small target region segmentation and poor edge contour segmentation. To overcome these three challenges, we propose an improved semantic segmentation model, referred to as MRU-Net, which adopts the U-Net architecture as its backbone. Firstly, the convolutional layer is replaced by BasicBlock structure in U-Net network to extract features, then the activation function is replaced to reduce the computational load of model in the network. Secondly, a hybrid multi-scale recognition module is added in the encoder to improve the accuracy of image segmentation of small targets and edge parts. Finally, test on Massachusetts Buildings Dataset and WHU Dataset the experimental results show that compared with the original network the ACC, mIoU and F1 value are improved, and the imposed network shows good robustness and portability in different datasets.

• Journal of Astronomy and Space Sciences
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• v.20 no.4
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• pp.359-364
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• 2003

In this paper, we present multi-sensor data fusion for telematics application. Successful telematics can be realized through the integration of navigation and spatial information. The well-determined acquisition of vehicle's position plays a vital role in application service. The development of GPS is used to provide the navigation data, but the performance is limited in areas where poor satellite visibility environment exists. Hence, multi-sensor fusion including IMU (Inertial Measurement Unit), GPS(Global Positioning System), and DMI (Distance Measurement Indicator) is required to provide the vehicle's position to service provider and driver behind the wheel. The multi-sensor fusion is implemented via algorithm based on Kalman filtering technique. Navigation accuracy can be enhanced using this filtering approach. For the verification of fusion approach, land vehicle test was performed and the results were discussed. Results showed that the horizontal position errors were suppressed around 1 meter level accuracy under simulated non-GPS availability environment. Under normal GPS environment, the horizontal position errors were under 40㎝ in curve trajectory and 27㎝ in linear trajectory, which are definitely depending on vehicular dynamics.

• Asian-Australasian Journal of Animal Sciences
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• v.7 no.3
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• pp.347-355
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• 1994

Thirty farmers, representing three major deer counties in Kyung-Kee province and 50 farmers scattered in Chung-Buk province were interviewed to determine the current status of the Korean deer industry. Items surveyed were general information, farmed deer breeds. farm facilities, feeding and nutrition, hygiene and disorder incidence, velvetting, income sources, products and their sale, management problems and herd size control. The 888 deer farmed in Kyung-Kee province included spotted deer (Cervus nippon. 69.4%), red deer (Cervus elaphus, 6.1%), wapiti (Cervus elaphus canadensis, 12.2%), spotted $\times$ red deer hybrids (6.2%), red deer $\times$ wapiti hybrids (4.6%). and fallow deer (Dama dama, 1.5%). Poor information on feeding was evidenced by wide variation among farms of daily feed supply and ratios of forage to concentrate, and poor nutritional considerations according to physiological status of deer. Hygiene needed more attention. The incidence of diseases and disorders was high: enteritis (73.3% in Kyung-Kee province), fractures (60.0%), and dystocia (56.7%). The major source of farm income was velvet antler and its blood. To improve productive efficiency, attention should be given to improving farm facilities, simplified product marketing, developing standard feeding system, and economic grazing system.