In this paper, we propose a very efficient reversible data hiding algorithm using spatial locality and the surface characteristics of image. Spacial locality and a variety of surface characteristics are present in natural images. So, it is possible to precisely predict the pixel value using the locality and surface characteristics of image. Therefore, the frequency is increased significantly at the peak point of the difference histogram using the precisely predicted pixel values. Thus, it is possible to increase the amount of data to be embedded in image using the spatial locality and surface characteristics of image. By using the proposed reversible data hiding algorithm, visually high quality stego-image can be generated, the embedded data and the original cover image can be extracted without distortion from the stego-image, and the embedding data are much greater than that of the previous algorithm. The experimental results show the superiority of the proposed algorithm.

The purpose of this study is to investigate and suggest nonviolent, emotionally and helpful games for young people. In this paper, the digital animation, advantages, disadvantages, production process, etc. for overseas trends were defined. Also, creating games with the Visual Basic language in the animated feature of the disadvantages of existing algorithms shows case and screen time, so delayed distortion appears respectively. The proposed algorithm improves the speed and distortion through the screen. Simply two games of in-game animation and animation in complex game features were designed for the experiment and showed the superiority of the proposed algorithm by running. In this paper, the user interface of the game for children and proposed relevant algorithms were designed and resultant screens of the game showed. Most of contemporary games are violent to children. Therefore, in order to solve such problems, the game which is not violent but educative and child-friendly was designed and implemented in this paper. The future study on the game with a more in-depth is needed for animation techniques.

In this paper, we propose a fast small target detection method using multiple filters, and describe system implementation using IPP libraries. To detect small targets in Infra-Red images, it is mandatory that you should apply a filter to eliminate a background and identify the target information. Moreover, by using a suitable algorithm for the environments and characteristics of the target, the filter must remove the background information while maintaining the target information as possible. For this reason, in the proposed method we have detected small targets by applying multi area(spatial) filters in a low luminous environment. In order to apply the multi spatial filters, the computation time can be increased exponentially in case of the sequential operation. To build this algorithm in real-time systems, we have applied IPP library to secure a software optimization and reduce the computation time. As a result of applying real environments, we have confirmed a detection rate more than 90%, also the computation time of the proposed algorithm have been improved about 90% than a typical sequential computation time.

Recently, KakaoTalk users seek secure messengers with fears of 'possible' censorship over a mobile messenger. Instead German messenger "Telegram" is gaining popularity in South Korea. Are the known as secure messengers actually secure? In this paper, we evaluate secure mobile messengers in terms of private information protection. We establish the fourteen criteria to evaluate the functionality of messenger apps including communication encryption in transit, the possibility of leakage of decrypted messages via server, an encryption algorithm, a key exchange algorithm, an ephemeral message application, etc. Line, Telegram, Snapchat, WhatsApp, Wickr, Facebook Messenger and KakaoTalk, which have many worldwide and domestic users, are to be targeted. Wickr is ranked at the top of the evaluation, followed by Telegram and Line but KakaoTalk and Snapchat are ranked at the bottom of the evaluation list.

In this paper, we propose an election protocol based on mobile ad-hoc network. In distributed systems, a group of computer should continue to do cooperation in order to finish some jobs. In such a system, an election protocol is especially practical and important elements to provide processes in a group with a consistent common knowledge about the membership of the group. Whenever a membership change occurs, processes should agree on which of them should do to accomplish an unfinished job or begins a new job. The problem of electing a leader is very same with the agreeing common predicate in a distributed system such as the consensus problem. Based on the termination detection protocol that is traditional one in asynchronous distributed systems, we present the new election protocol in distributed systems that are based on MANET, i.e. mobile ad hoc network.

In this study, we proposed the social map system prototype for intelligent crime prevention. For developing the social map system prototype, functional requirements were derived through the analysis of related cases and preceding studies. Derived requirements are providing a variety of map-based safety information, using crowdsourcing data such as SNS, connecting to intelligent CCTV. To satisfy these requirements, the prototype is developed with four main menus: the integrated search menu including social media data, the safety map menu providing a variety of safety and danger information, the community map menu to collect safety and danger information from users, and the CCTV menu providing the link to intelligent CCTV. The social map for intelligent crime prevention in this study is expected to greatly enhance the safety of local community with the provision of prompt response to risk information, safe route, etc. through actual service and user participation.

Initial prevention activities and rapid propagation conditions is the most important to prevent diffusion of water pollution. If water pollutants flow into streams river or main stresm located in environmental conservation area or water intake facilities, we must predict immediately arrival time and the diffusion concentration to the proactive. National Institute of Environmental Research developed water pollution incident response prediction system linking dam and movable weir. the system is mathematical model which is updated daily. Therefore it can quickly predict the arrival time and the diffusion concentration when there are accident of oil spills and hazardous chemicals. Also we equipped with mathematical model and toxicity model of EFDC(Environmental Fluid Dynamics Code) to calculate the arrival time and the diffusion concentration. However these systems offer the services of an offline manner than real-time control services. we have ensured the reliability of data collection and have developed a real-time water quality measurement data transmission device by using the data linkage utilizing a mode bus communication and a commercial SCADA system, in particular, we implemented to be able to do real-time water quality prediction through information infrastructure of the water quality integrated management business created by utilizing the construction of the real-time prediction system that utilizes the data collected, the Open map, the visual representation using charts API and development of integrated management system development based on web maps.

In this paper, we present a novel approach to help MSR researchers obtain necessary data with a tool, termed General Purpose Extractor for Source code (GPES). GPES has a single function extracts high-quality data, e.g., the version history, abstract syntax tree (AST), changed code diff, and software quality metrics. Moreover, features such as an AST of other languages or new software metrics can be extended easily given that GPES has a flexible data model and a component-based design. We conducted several case studies to evaluate the usefulness and effectiveness of our tool. Case studies show that researchers can reduce the overall cost of data analysis by transforming the data into the required formats.

In general statistical analysis, we need to make a normal assumption. If this assumption is not satisfied, we cannot expect a good result of statistical data analysis. Most of statistical methods processing the outlier and noise also need to the assumption. But the assumption is not satisfied in big data because of its large volume and heterogeneity. So we propose a methodology based on box-plot and data smoothing for controling outlier and noise in big data analysis. The proposed methodology is not dependent upon the normal assumption. In addition, we select patent documents as target domain of big data because patent big data analysis is a important issue in management of technology. We analyze patent documents using big data learning methods for technology analysis. The collected patent data from patent databases on the world are preprocessed and analyzed by text mining and statistics. But the most researches about patent big data analysis did not consider the outlier and noise problem. This problem decreases the accuracy of prediction and increases the variance of parameter estimation. In this paper, we check the existence of the outlier and noise in patent big data. To know whether the outlier is or not in the patent big data, we use box-plot and smoothing visualization. We use the patent documents related to three dimensional printing technology to illustrate how the proposed methodology can be used for finding the existence of noise in the searched patent big data.

The purpose of this research is to clarify the effect that group art therapy with ceramics affects aggression and impulse for juvenile delinquent. The experimental domain of this study was implemented with 24 juvenile delinquent suspended from protective dispositions for them who were in long-term juvenile sheltered housing about for 12 years. These subjects were selected from among juvenile delinquent between 14 to 20 years age who were entrusted from court to the Juvenile Protection Education Institute located in G area. 12 people were randomly assigned each experimental domain and control domain; experimental group was implemented group art therapy with ceramics whereas there was anything to control group. The program was designed once a week and 90minutes each 12 sessions. The result of this study show that control group at variable related aggression was not significantly changed at posttest. In case of experimental group, here was significantly changed as a whole, also sub factor such as physical aggression showed considerable change so that the first hypothesis was supported In addition, experimental group showed the considerable change at sub factor of motor impulsiveness so that the second hypothesis was supported whereas control group at impulse variable was not significantly changed during pretest and posttest. This study results conclude that the juvenile delinquent participating group art therapy with ceramics represents the effect on reduction of aggression and motor impulsiveness. We expect this result will be used as further base line data for juvenile delinquent.

Food habit forming the basis for a lifetime of food and nutrient intake is established in early childhood and has an effect to the child's growth, sociality, and obesity. A variety of nutrition screening tools exists for assessing the health and nutrition status of children such as the Growth Curve, for determining if growth is appropriate. Body mass index(BMI) as a more reliable index of overweight to prevent childhood obesity, and Nutrition Quotient(NQ) and eating behaviors questionnaire for young children and parents to estimate their nutrient intake adequate or not. Such tools are mainly used by health practitioners, such as doctor and dietitian to provide nutrition intervention services to children at risk, especially and are not easy to use for general parents, who need assessment at any time and at any place. We propose Growth Assistance System for infants and children, which is possible to assess their physical condition, nutritional status, and eating behavior integrated. To be convenient and portable, it is implemented over the smartphone as an application. The system offers the growth charts, the BMI curves, NQ and eating behavior questionnaire to take a monitoring and the functionalities operate well. We hereby expect this system support the normal growth and development of infants and young children. And also support for the health practitioner (dietitians and nutritionists) to take a role in providing nutrition counseling and education to children needing nutrition services.

Corporate social media has been recently used in customer relationship management in many ways to improve product sales and company images. Not much research exists on corporate social media, Therefore, in this paper, we propose a research model to identify how corporate social media enhances corporate's CRM quality, resulting in forming customer's purchase intention. In detail, this paper is to examine how customer's perceived value of corporate social media influences CRM quality(CRM trust and CRM commitment), and then how CRM quality affects purchase intention. To this end, a total of 300 questionnaires were used from online panel respondents to test research hypothesis. The findings showed that service performance value and monetary value were major determinants of CRM trust, however, there was no association between brand integration value and CRM trust. In addition, the effects of service performance value and brand integration value on CRM commitment were found whereas monetary value had no effect on CRM commitment. The results also showed that CRM trust and CRM commitment played a critical role in forming of purchase intention. Theoretical and practical Implications are discussed.

The purpose of this study was to explain the influence of depression on the life satisfaction of the elderly with hypertension. Also, we were focusing whether there is a mediating effect of subjective health status between depression and life satisfaction of the elderly with hypertension. 2,198 persons with hypertension over 65 years of age were selected from the data of KLoSA(Korean Longitudinal Study of Ageing), administered by The Korea Employment Information Service in 2014. Life satisfaction was measured by 10-Likert. The depression measured by CES-D10. The mediating variable is subjective health status measured by 5-Likert. As the method of analysis, the multiple regressions were used with SPSS 19.0. The result of the study shows that depression has a negative influence on life satisfaction and a negative influence on subjective health status. It was also verified that the subjective health status variable has a mediating effect between depression and life satisfaction. These results present the importance of psychological approach for the health promotion experts intervening with the elderly with hypertension.

With more emphasis on importance of software, many countries try to provide software education. Of course Korea includes informatics courses in 2015 revised curriculum, so that software education will be administered briskly in soon. However there are practical challenges including a lack of teaching hour in classes and the monotony of educational contents which occurs with that. To solve these problems, this research develop software education curriculum model that could be practically used for both middle and high school. First this study compare the curriculum of Korea to that of United States and United Kingdom. After analyzing the result, the curriculum model for middle and high school is developed. The curriculum model can be classified into three types, middle, high and advanced-high levels and include key concepts like collaboration and convergence, computational thinking, computing practice and programming, computers and communications devices, community, global, and ethical impacts. To assess the feasibility of our software education curriculum model, examination was made by expert group and a hearing was held by related researchers. Then the model was modified in a way that adjustable to Korea education system. This study provides some important guidances on designing a curriculum for software education at middle and high school. However, there still are difficulty adjusting to the elementary school and university course. To be able to further research, same kind of studies on elementary school and university course need to be done. Also, continuous modifications are required to reflect reality including technological advance, curriculum, and changes of education system.