• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.6
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• pp.9-14
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• 2011

We have investigated the electrical properties of $AlO_x$ thin film device. The device has been fabricated top-bottom electrode structure and its transport properties are measured in order to study the resistance change. Electrical properties with linear voltage sweep on a electrodes are used to show the variation of resistance of $AlO_x$ thin film device. Fabricated $AlO_x$ thin film device with MIM structure is changed from a high conductive On-state to a low conductive Off-state by the external linear voltage sweep. It is found that the initial resistance of the $AlO_x$ thin film is low-resistance On state and reversible switching occurs. Consequently, we believe $AlO_x$ thin film is a promising material for a next-generation nonvolatile memory and other electrical applications.

• International Journal of Internet, Broadcasting and Communication
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• v.7 no.1
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• pp.75-92
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• 2015

This paper presents the application of the bond valence method to estimate the valence charge distribution in several perovskite systems: $La_{{\tilde{1}}x}Pb_xMnO_3$ (x=0.1-0.5), $La_{0.6}Sr_{0.{\tilde{4}}x}Ti_xMnO_3$ (x=0.0-0.25) and $La_{{\tilde{1}}x}Sr_xCoO_3$ (x=0.1-0.5); the reviewing of their crystal structures is also incorporated. The results showed the failure of the elastic bonding mechanism in all studied systems and revealed the general deficit of the valence charge in their unit cells. This valence deficit was not associated with the structural defects and was not equally localized in all coordination spheres. As the content of substitution increased, the charge deficit declined systematically from balanced level, signifying the transfer of valence charge from the ${\tilde{B}}O_6$ to ${\tilde{A}}O_{12}$ spheres. This transfer depended on the valence deviation of spheres and the average reached near 2 electron per unit cell. The possible impact of the limitted accuracy of the available structural data on the bond valence results has also been considered.

• The KIPS Transactions:PartC
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• v.11C no.5
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• pp.569-576
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• 2004

Conventional researches of standard tool validating public key cryptographic algorithm have been studied for the internet environment, not for the mobile internet. It is important to develop the validation tool for establishment of interoperability and convenience of users in mobile internet. Therefore, this paper presents the validation tool of Elliptic Curie Cryptography algorithm that can test if following X9.62 technology standard specification. The validation tool can be applied all information securities using ECDSA, ECKCDSA, ECDH, etc. Moreover, we can en-hace the precision of validation through several experiments and perform the validation tool in the online environment.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.366-376
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• 2013

This study aimed to compare Psycho-social Well-being depending on level of internet addiction and investigate the factors inducing internet addiction among 749 college students. The Internet Addiction Diagnosis Criterion Inventory was used to classify participants into two groups, Internet overuse and Internet normal use. The psychosocial well-being of each group was measured by hopelessness, idea of suicide, suicide attempt, stress, social isolation, and mental health. Data were analyzed using the t-test and $x^2$-test to compare general characteristics, level of internet addiction and psycho-social well-being between two groups(the overuse and normal use group). Moreover, logistic regression analysis was used to examine the factors inducing internet addiction. The results placed 82 people (10.9%) in the internet overuse group and 667 people(89.1%) in the internet normal use group. The internet overuse group showed higher level of hopelessness, idea of suicide, suicide attempt, stress, social isolation, and mental health scores than the internet normal use group. Therefore, people in the internet overuse group were more likely to have worse Psycho-social well-being. The results of this study recommend that the Internet overuse should be screened early because it can be useful in developing addiction prevention programs and then finally improving the psycho-social well-being.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.627-630
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• 2007

XML is becoming a de facto standard for exchanging data in Internet data processing environments due to the inherent characteristics such as hierarchical self-describing structures. Nowadays the number of 3D VE(Virtural Environment) available on the internet is constantly increasing, most of them focused low-level geometric data that lack any semantic information. VRML is composed of simple science graph. X3D is constructed based on XML and has many advantage. However, previous researches can not apply various advantage of XML. This work proposes an alternate approach for association semantic information to X3D VE based on XML. These information use navigation to VE. Moreover, we study extraction method of sematic information to XML document. In this work, we study saving techniques for navigation processing.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.7
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• pp.2131-2153
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• 2022

To achieve accurate detection of tuberculosis (TB) areas in chest radiographs, we design a chest X-ray TB area detection algorithm. The algorithm consists of two stages: the chest X-ray TB classification network (CXTCNet) and the chest X-ray TB area detection network (CXTDNet). CXTCNet is used to judge the presence or absence of TB areas in chest X-ray images, thereby excluding the influence of other lung diseases on the detection of TB areas. It can reduce false positives in the detection network and improve the accuracy of detection results. In CXTCNet, we propose a channel attention mechanism (CAM) module and combine it with DenseNet. This module enables the network to learn more spatial and channel features information about chest X-ray images, thereby improving network performance. CXTDNet is a design based on a sparse object detection algorithm (Sparse R-CNN). A group of fixed learnable proposal boxes and learnable proposal features are using for classification and location. The predictions of the algorithm are output directly without non-maximal suppression post-processing. Furthermore, we use CLAHE to reduce image noise and improve image quality for data preprocessing. Experiments on dataset TBX11K show that the accuracy of the proposed CXTCNet is up to 99.10%, which is better than most current TB classification algorithms. Finally, our proposed chest X-ray TB detection algorithm could achieve AP of 45.35% and AP50 of 74.20%. We also establish a chest X-ray TB dataset with 304 sheets. And experiments on this dataset showed that the accuracy of the diagnosis was comparable to that of radiologists. We hope that our proposed algorithm and established dataset will advance the field of TB detection.

• Journal of Internet Computing and Services
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• v.24 no.1
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• pp.49-59
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• 2023

Recently, attention to the pandemic situation represented by COVID-19 emerged problems caused by unexpected shortage of medical personnel. In this paper, we present a method for diagnosing the presence or absence of lesional sign on PA chest X-ray images as computer vision solution to support diagnosis tasks. Method for visual anomaly detection based on feature modeling can be also applied to X-ray images. With extracting feature vectors from PA chest X-ray images and divide to patch unit, region-specific abnormality can be detected. As preliminary experiment, we created simulation data set containing multiple objects and present results of the comparative experiments in this paper. We present method to improve both efficiency and performance of the process through hard masking of patch features to aligned images. By summing up regional specificity and global anomaly detection results, it shows improved performance by 0.069 AUROC compared to previous studies. By aggregating region-specific and global anomaly detection results, it shows improved performance by 0.069 AUROC compared to our last study.

• Journal of Game and Entertainment
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• v.2 no.1
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• pp.71-77
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• 2006

This paper is concerned with the techniques of multitexturing for increasing the image quality of 3D contents in the Internet, where the attributes of objects such as textures are dynamically changed. First we explain the empirical results of implementing the X3D nodes related with the multitexturing in the recent X3D viewers. Next we discuss the directions for developing the next-generation of X3D viewers that satisfy the user requirements and the advanced graphics accelerators.

• Journal of the Korean Home Economics Association
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• v.39 no.10
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• pp.55-67
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• 2001

The purpose of this study were 1) to find out the benefits sought factors and segment the customers of internet shopping mall, 2) to find out the store image factors of internet shopping mall, and 3) to analyze the internet shopping mall market using perceptual map of segmented groups. The questionnaires dealing with attribute dimension of internet shopping mall image, benefits sought, and demographic variables were selected from the previous studies or were developed for this study. The data from 319 respondents which were collected through the internet survey site was analyzed by factor analysis, cluster analysis, one-way ANOVA, and $X^2$-test. The results of this study were as follows: 1. Benefit sought by consumer in internet shopping malls was found to include six different factors: assortments of products, search efficiency, brand/fashionability, delivery convenience, promotion service and informativeness. 2. As a result of subdividing the consumers, four distinctive groups were formed on the basis of benefit factors: multi-benefit oriented group, convenience oriented group, brand oriented group and low-benefit oriented group. Demographic traits such as education and income level were proven to significantly differentiate the benefit segments. 3. In the structural components of internet shopping-malls image, product/information, service/convenience and economy were drawn from attribute dimensions. 4. 12 perceptual maps of internet shopping mall image were constructed and each ideal vector were drawn.

• Journal of Internet Computing and Services
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• v.6 no.5
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• pp.27-43
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• 2005

EAP provides authentication for each entity based on IEEE Std 802.1x Wireless lAN and RADIUS/DIAMETER protocol, and it uses certificate, dual scheme(e.g., password and token) with the authentication method. The password-based authentication scheme for authenticated key exchange is the most widely-used user authentication method due to various advantages, such as human-memorable simplicity, convenience, mobility, A specific hardware device is also unnecessary, This paper discusses user authentication via public networks and proposes the Split Password-based Authenticated Key Exchange (SPAKE), which is ideal for both authenticating users and exchanging session keys when using a subsequent secure communication over untrusted network, And then we provides EAP authentication framework EAP-SPAKE by using it.