• International Journal of Human Ecology
• /
• v.2 no.1
• /
• pp.1-16
• /
• 2001

This study measures whether people who are expected to live in the new city of Namak are environmentally and ecologically aware, and it investigates which variables are related to their willingness to move to an ecological city. This study investigated the environmental cognition of inhabitants in Chollanam Province; it focused particularly on ecologically -oriented values, environmental knowledge, environmental management behavior, and the awareness of an ecological city. For the purposes of this study, 500 inhabitants from Mokpo, Kwangju and Muan who are expected to live in a new city of Namak were surveyed. Awareness of the ecological city was at medium level; half of the respondents were not aware of an ecological city. Multiple regression analysis was conducted to estimate the effects of the variables on the awareness of the ecological city. The most significant variable was environmental knowledge. Next, experience in environmental education and homeownership affected awareness. Half of the respondents were willing to move to an ecological city. Among all of the variables, seven variables were significantly related to the willingness to move to an ecological city.

• Journal of the Korean Mathematical Society
• /
• v.56 no.4
• /
• pp.1063-1081
• /
• 2019

In this paper, we formulate a new local move on virtual knot diagram, called arc shift move. Further, we extend it to another local move called region arc shift defined on a region of a virtual knot diagram. We establish that these arc shift and region arc shift moves are unknotting operations by showing that any virtual knot diagram can be turned into trivial knot using arc shift (region arc shift) moves. Based upon the arc shift move and region arc shift move, we define two virtual knot invariants, arc shift number and region arc shift number respectively.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.17 no.6
• /
• pp.309-317
• /
• 2022

In this paper, we propose a machine learning-based copy-move forgery detection network with dual branches. Because the rotation or scaling operation is frequently involved in copy-move forger, the conventional convolutional neural network is not effectively applied in detecting copy-move tampering. Therefore, we divide the input into rotation-invariant and scaling-invariant features based on the wavelet coefficients. Each of the features is input to different branches having the same structure, and is fused in the combination module. Each branch comprises feature extraction, correlation, and mask decoder modules. In the proposed network, VGG16 is used for the feature extraction module. To check similarity of features generated by the feature extraction module, the conventional correlation module used. Finally, the mask decoder model is applied to develop a pixel-level localization map. We perform experiments on test dataset and compare the proposed method with state-of-the-art tampering localization methods. The results demonstrate that the proposed scheme outperforms the existing approaches.

• Journal of Information Processing Systems
• /
• v.14 no.1
• /
• pp.6-31
• /
• 2018

With the rapid development of the science and technology, it has been becoming more and more convenient to obtain abundant information via the diverse multimedia medium. However, the contents of the multimedia are easily altered with different editing software, and the authenticity and the integrity of multimedia content are under threat. Forensics technology is developed to solve this problem. We focus on reviewing the blind image forensics technologies for copy-move forgery in this survey. Copy-move forgery is one of the most common manners to manipulate images that usually obscure the objects by flat regions or append the objects within the same image. In this paper, two classical models of copy-move forgery are reviewed, and two frameworks of copy-move forgery detection (CMFD) methods are summarized. Then, massive CMFD methods are mainly divided into two types to retrospect the development process of CMFD technologies, including block-based and keypoint-based. Besides, the performance evaluation criterions and the datasets created for evaluating the performance of CMFD methods are also collected in this review. At last, future research directions and conclusions are given to provide beneficial advice for researchers in this field.

• Journal of the Ergonomics Society of Korea
• /
• v.31 no.2
• /
• pp.413-419
• /
• 2012

Objective: This study presents an observation and analysis on behavioral characteristics of old users in comparison to young users in the use of control on display interface. Background: Touch interface which allows users to control directly on display, is conceived as delight and easy way of human-computer interaction. Due to the advantage in stimulus-response ensemble, the old users, who typically experiencing difficulties in interacting with computer, would expected to have better experience in using computing machines. Method: Twenty nine participants who are over 50 years old and 14 participants who are in 20s years old were participated in this study. Three primary tasks in touch interface, which are tap, move, and flick, were delivered by the users. For the tap task, response time and point of touch response were collected and the response bias was calculated for each trial. For the move task, delivery time and the distance of finger movements were recorded for each trial. For the flick task, task completion time and flicking distance were recorded. Results: From the collected behavioral data, temporal and spatial differences between young and old users behavior were analyzed. The older users showed difficulty in completing move task requiring eye-hand coordination.

• International Journal of Advanced Culture Technology
• /
• v.8 no.4
• /
• pp.33-38
• /
• 2020

P University applied for the overseas expansion project of K-Move School operated by Human Resources Development Service of Korea, and was selected twice in 2016 and 2017 to operate the program. The goal of this study was to prepare an activation plan based on the results of the training program to enter the fashion industry in LA, USA. The lack of research It was confirmed that the K-Move School program could provide young people with opportunities to grow into global talents in a situation where it is very uneasy to predict the future based on the domestic employment environment alone. However, in order to successfully expand overseas jobs, systematic and strategic policies are essential by the government and related ministries or institutions so that practical programs suitable for young people can be operated. It is hoped that the results of these studies will be used as basic data for young adults and leaders who are in charge of teaching overseas.

• Korean Management Science Review
• /
• v.5 no.2
• /
• pp.71-80
• /
• 1988

The object of this thesis is to develop an effective method for Five-in-a-Row. For this purpose, we develop a method that describes a move accurately, and a procedure that choses a move more effectively. In describing a move, we represent each move as eight vectors generated from four directions for both offensive and defensive strategies. Each vector consists of three components, that is, connectivity, agressiveness, and directions of stones in a line. In choosing a move, we introduce a preference order among all vectors by an expert's knowledge. Then, an efficient algorithm is developed to test a cycle in the preference order. Experimental results show that the success rate of this new method is about 90% against Weisenbaum's program known as the prototype of the Five-in-a-Row program.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2010.11a
• /
• pp.579-580
• /
• 2010

• Journal of the Korean Society for Precision Engineering
• /
• v.13 no.11
• /
• pp.152-162
• /
• 1996

A four-legged Walking Machine can move on the plain terrain with mobility and stability and stability, but if there exist any obstacles on the terrain of the motion direction, it takes extra time to cross those obstacles and the stability should be considered during motion. The main objective is the study a Quadruped which can cross obstacles with better mobility, stability and fuel economy than any other wheeled or tracked vehicles. Vertical step, isolated wall and ditch are the basic obstacles and by understanding those three cases perfectly, a Quadruped can move on any mixed rough terrain as 4-legged terrestrial vertebrates move. Each leg of a Quadruped has a limited walk space called a walking volume and this is very important to deter- mine the crossing capability in a static analysis. A Quadruped can be simplified with links and joints. By applying the research method, a quadruped can determine the control procedures as soon as it receives the terrain information from scanner and finally can move with mobility and stability.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.9
• /
• pp.4567-4587
• /
• 2017

With the growth of the Internet and the extensive applications of image editing software, it has become easier to manipulate digital images without leaving obvious traces. Copy-move is one of the most common techniques for image forgery. Image blind forensics is an effective technique for detecting tampered images. This paper proposes an improved copy-move forgery detection method based on the discrete cosine transform (DCT). The quantized DCT coefficients, which are feature representations of image blocks, are truncated using a truncation factor to reduce the feature dimensions. A method for judging whether two image blocks are similar is proposed to improve the accuracy of similarity judgments. The main transfer vectors whose frequencies exceed a threshold are found to locate the copied and pasted regions in forged images. Several experiments are conducted to test the practicability of the proposed algorithm using images from copy-move databases and to evaluate its robustness against post-processing methods such as additive white Gaussian noise (AWGN), Gaussian blurring, and JPEG compression. The results of experiments show that the proposed scheme effectively detects both copied region and pasted region of forged images and that it is robust to the post-processing methods mentioned above.