The 4th Industrial Revolution, intelligent automobile application technology is evolving beyond the limit of the mobile device to a variety of application software and multi-media collective technology with big data-based AI(artificial intelligence) technology. with the recent commercialization of 5G mobile communication service, artificial intelligent automobile technology, which is a fusion of automobile and IT technology, is evolving into more intelligent automobile service technology, and each multimedia platform service and application developed in such distributed environment is being developed Accordingly, application software technology developed with a single system SoC of a portable terminal device through various service technologies is absolutely required. In this paper, smart device design for ontology design of intelligent automobile open platform enables to design intelligent automobile middleware software design technology such as Android based SVC Codec and real time video and graphics processing that is not expressed in single ASIC application software technology as SoC based application designWe have experimented in smart device environment through researches, and newly designed service functions of various terminal devices provided as open platforms and application solutions in SoC environment and applied standardized interface analysis technique and proved this experiment.

Artificial intelligence is evolving rapidly in the ICT field, smart convergence media system and content industry through the fourth industrial revolution, and it is evolving very rapidly through Big Data. In this paper, we propose a face recognition method based on object recognition based on object recognition through artificial intelligence. In this method, Were experimented and studied through the object recognition technique of artificial intelligence. In the conventional 3D image field, general research on object recognition has been carried out variously, and researches have been conducted on the side effects of visual fatigue and dizziness through 3D image. However, in this study, we tried to solve the problem caused by the quantitative difference between object recognition and object recognition for human factor algorithm that measure visual fatigue through cognitive function, morphological analysis and object recognition. Especially, The new method of computer interaction is presented and the results are shown through experiments.

With the rapid development of 5G technology, more and more network functions are interconnected and more popular. In order to effectively manage emerging network concepts, it allows any device object in the real world to be connected anywhere and at any time through the integration of device object recognition, interaction and raw data collection technologies. In addition, IP Multimedia Subsystem (IMS) is an architecture framework for transmitting IP-based information to the device object which can be represented as end user. Therefore, the Internet of Things and IP Multimedia Subsystem (IoT-IMS) communication platform can provide a convenient and fast way for user or device objects to deploy new application services effectively. In particular, in order to collect and manage the device information from IoT effectively in the IoT-IMS communication platform, an IoT Information Gateway (IIG) is proposed. Through the IoT Application Service (AS) scenario, the collected device information can be easily observed and managed in a unified way.

In this study, we propose the automatic extraction method of Rescue Requests from Drone Images. A central object is extracted from each image by using central object extraction method[7] before classification. A central object in an images are defined as a set of regions that is lined around center of the image and has significant texture distribution against its surrounding. In this case of artificial objects, edge of straight line is often found, and texture is regular and directive. However, natural object's case is not. Such characteristics are extracted using Edge direction histogram energy and texture Gabor energy. The Edge direction histogram energy calculated based on the direction of only non-circular edges. The texture Gabor energy is calculated based on the 24-dimension Gebor filter bank. Maximum and minimum energy along direction in Gabor filter dictionary is selected. Finally, the extracted rescue requestor object areas using the dominant features of the objects. Through experiments, we obtain accuracy of more than 75% for extraction method using each features.

Moving image sharing technology has developed various servers and programs for personal broadcasting. In this paper, we propose the method of transmitting the multiple moving image, including the output channel of external streaming server. It also implements and tests multiple real-time broadcast channel automatic transmission systems that assign multiple output channels to automatic output channels. As a result of the experiment, it is easy to allocate moving image to broadcast channels that are output through the external streaming server's output channels regardless of the size of the streaming server, enabling the management of efficient output channels at the time of transmission of multiple moving image. The moving image can be provided through streaming method regardless of the type of moving image from the moving image provider terminal, and the moving image transmission can be controlled in various ways, including adding and changing channels for which the moving image is sent, and sending delayed to the moving image.

In this study, I researched whether consumers would adopt artificial intelligence speakers. A study was conducted on the motivations that arise when consumers want to use artificial intelligence speakers. Key motivational factors include needs and wants, and emotion is also included in the hypothesis as influencing the intended use. These factors have modeled the motivational process in which consumers want to use artificial intelligence speakers. In the empirical study, the survey was conducted and the survey data was analyzed by applying the method of analysis of the structural equation model. As a result of empirical research, consumers' expectations to meet their general needs for artificial intelligence speakers affected their expectations to meet their wants and their favorable perceptions. And consumers' expectations of meeting their quasi-desire for artificial intelligence speakers have affected their expectations of meeting the wants and affected their perception of favorability. Finally, consumers' expectations for satisfying their wants and their perception of favorability affected their intention to use artificial intelligence speakers. The implications of this study is that it helps to formulate strategies for information technology products with combined functionality. The specific components of motivation can play an important role in increasing consumers' intention to use artificial intelligence speakers.

The amount of data is increasing significantly as information and communication technology advances, mobile, cloud computing, the Internet of Things and social network services become commonplace. As the data grows exponentially, there is a growing demand for services that recommend the information that users want from large amounts of data. Collaborative filtering method is commonly used in information recommendation methods. One of the problems with collaborative filtering-based recommendation method is the cold start problem. In this paper, we propose a method to improve the cold start problem. That is, it solves the cold start problem by mapping the item evaluation data that does not exist to the initial user to the automatically generated data from the mobile app. We describe the main contents of the proposed method and explain the proposed method through the book recommendation scenario. We show the superiority of the proposed method through comparison with existing methods.

The system proposed in this paper is a fully automated parking control system that can even protect users' information through blockchain. Unlike conventional parking control systems, the system consists of a web page that is accessible to people of all ages and ages, directly to the parking lot. Such a system would also benefit managers in the parking lot business. This is because it can reduce soaring labor costs and maximize the sales it can generate by operating 24 hours a day. In order to implement these systems, the web page was first designed using HTML and the API was configured using JAX-RS to invoke the API required by the web page. As a result, it created a web page that was easily accessible to anyone, built a server that could be accessed by more than 200 people at the same time, focused on personal information protection by encrypting the information of users through blockchain grafts, and designed a system that enabled users to complete payments easily. It is planning to add QR codes and GPS functions in the future and implement a function that allows one-touch information on parking lots and their vehicle information.

Uniform and integrated college desks and chairs have low efficiency of loading for transportation and delivery and low efficiency of storage for warehousing due to their simple uniform physical properties, thus increasing logistics costs for companies and decreasing their competitiveness. In an effort to overcome the limitations of previous studies, this study analyzed the stages of logistics for desks and chairs in college lecture rooms via the transportation route including the factory warehouses and local warehouses and via the delivery route from local warehouses by the region to the orderers including college lecture rooms. The study developed a model for the rationalization of corporate logistics by making a variable folding desk and chair capable of distance adjustment according to height to replace the uniform and integrated college desks and chairs in lecture rooms. A model was developed between the old uniform and integrated college desks and chairs and the new variable folding desks and chairs for three scenarios of cost development including product storage costs, transportation costs from the specialized factory warehouses to the local warehouses by the region, and delivery costs from the local warehouses to college lecture rooms as the orderer. For the generalization of the model, it was applied to each of the 90%, 95%, and 99% service levels.

In addition to enabling access, database accounts play a protective role by defending the database from external attacks. However, because only a single account is used in the database, the account becomes the subject of vulnerability attacks. This common practice is due to the lack of database support, large numbers of users, and row-based database permissions. Therefore if the logic of the application is wrong or vulnerable, there is a risk of exposing the entire database. In this paper, we propose a Least-Privilege Account Separation Model (LPASM) that serves as an information guardian to protect the database from attacks. We separate database accounts depending on the role of application services. This model can protect the database from malicious attacks and prevent damage caused by privilege escalation by an attacker. We classify the account control policies into four categories and propose detailed roles and operating plans for each account.

Chapter 1 and 2 of this study examined the methodology of modern storytelling using the hero narrative structure. This involved analyses of Joseph Campbell's monomyth structure, which is the prototype model of modern storytelling and Christopher Vogler's story structure in which the monomyth structure is classified into 3 Acts and 12 Stages. In addition, the movie 'Captain America' was analyzed based on Vogler's narrative structure theory. According to the analyses results, the hero of 'Captain America' fully follows Christopher Vogler's hero narrative structure but in some cases, he does not follow the existing hero narrative structure. It is interpreted that this is because heroes of modern tales have different birth backgrounds from mythical heroes. There is also a difference even in the stage where a hero completes all adventures and returns home between modern tales and myths due to different social backgrounds. Therefore, these findings provide a basis for modification and supplementation of a modern hero epic. Through this analysis, the modified modern hero narrative structure is evaluated to be appropriate as a basic model for modern storytelling. Further, it is expected that those who frame a film script can complete a new hero epic while following the structure of syntagmatic systems by selecting a level among Northrop Frye's paragmatic systems based on this structure and considering story themes and heroes' personality and characteristics.

Minecraft game is a sandboxed game based on a high degree of users' freedom; the game encourages its users to recreate various play patterns to increase their immersion. Although recently there were many studies that use Minecraft game techniques to improve the teaching methods but still not well adapted due to being applications-based techniques. In this paper, we present a teaching model that utilizes the same concept of the Minecraft games in where learners customize the class concepts based on their needs. Moreover, Minecraft-based learning games attempt to be used for learner-led, creativity and programming instruction, to overcome these use-cases limitations, by our study we aim to include the Minecraft-based learning games in class teaching activities, theoretical and practical lessons. In this way, we intend to increase interest in programming lessons, and to increase immersion as another way of game learning. In the future, we attempt to measure various effects of the uses of Minecraft-game-based teaching in programming classes compare to the traditionally used methods.

Recommendation systems help users by suggesting items such as products, services, and information. However, most research on recommendation systems has not considered people's moods although the appropriate contents recommended to people would be changed by people's moods. In this paper, we propose a situation-based recommendation system which exploits people's mood. The proposed scheme is based on the fact that the mood of a user is changed frequently by the surrounding environments such as time, weather, and anniversaries. The environments are defined as feature identifications, and the rating values on items are stored as feature identifications at a database. Then, people can be recommended diverse items according to their environments. Our proposed scheme has some advantages such as no problem of cold start, low processing overhead, and serendipitous recommendation. The proposed scheme can be also a good option as of assistance to other recommendation systems.

Software education is inevitable for the success of the Fourth Industrial Revolution, and university education also requires innovation to cope with revolutionary change of the society. The number of students seeking employment in the IT field is steadily increasing regardless of the major of the student. However, the existing software-related courses offered by universities or private educational institutions are limited. This paper analyzes the existing software curriculum of several major universities for non-IT major students. In addition, in-depth surveys by students at Seoul Theological University is conducted to figure out the demand for the advanced level computer science subjects. Finally, new software education curriculum is proposed to fulfill the needs of non-IT major students and to improve the employment rate of non-IT major students seeking tech companies. The new curriculum will help to cultivate intermediate level IT experts that bridge the gap between advanced level IT experts and primitive level computer technicians.

Software education is inevitable for the success of the Fourth Industrial Revolution, and university education also requires innovation to cope with revolutionary change of the society. The number of students seeking employment in the IT field is steadily increasing regardless of the major of the student. However, the existing software-related courses offered by universities or private educational institutions are limited. This paper analyzes the existing software curriculum of several major universities for non-IT major students. In addition, in-depth surveys by students at Seoul Theological University is conducted to figure out the demand for the advanced level computer science subjects. Finally, new software education curriculum is proposed to fulfill the needs of non-IT major students and to improve the employment rate of non-IT major students seeking tech companies. The new curriculum will help to cultivate intermediate level IT experts that bridge the gap between advanced level IT experts and primitive level computer technicians.

This research aims to examine the cause-and-effect relationship between Organizational Justice and Organizational Commitment within ICT corporates for fire prevention, through Leader-Member Exchange(LMX) and Organizational Support. A survey was conducted to corporate employees from staff members to executives. A total of 316 responses were collected during two weeks from May 1st to 17th, 2019, and were analyzed in this research. The result of the theory on ICT fire prevention was as follows: First, Distributive Justice has significant influence on Organizational Support, while it does not on LMX. Second, Procedural Justice has significant influence on both Organizational Support and LMX. Third, while Interactional Justice does not have significant influence on Organizational Support, LMX showed significant influence. Fourth, Organizational Support has significant influence on Organizational Commitment. Fifth, LMX has significant influence on Organizational Commitment. This research is academically significant in that it applied the Justice Theory on ICT corporates for fire prevention from staff members to executives. It is considered so, since existing researches mainly address on the status of technologies and policies on how to link fire prevention and ICT, and not on fair compensation based on Organization Justice theory. Practical significance can be found in its suggestions to improving organizational culture from top-down to bottom-up, thus creating free and engaging atmosphere at work. It is therefore needed to conduct further researches that categorize executives by their traits, and examine factors influencing on organizational commitment within ICT corporates for fire prevention.

Telemarketing has been used in finance due to the reduction of offline channels. In order to select telemarketing target customers, various machine learning techniques have emerged to maximize the effect of minimum cost. However, there are problems that the class imbalance, which the number of marketing success customers is smaller than the number of failed customers, and the recall rate is lower than accuracy. In this paper, we propose a method that solve the imbalanced class problem and increase the recall rate to improve the efficiency. The hybrid sampling method is applied to balance the data in the class, and the stacked deep network is applied to improve the recall and precision as well as the accuracy. The proposed method is applied to actual bank telemarketing data. As a result of the comparison experiment, the accuracy, the recall, and the precision is improved higher than that of the conventional methods.

This study aims to explore the casual relation between construction company employees' Self-Leadership and two variables: Organization Citizenship Behaviour and Organizational Trust through Psychology Empowerment. To explain in details, this study examines how the independent variable, Self Leadership, with its behavior-focused, natural reward and constructive thought pattern strategies, affects the dependent variable, Organization Citizenship Behavior and Organizational Trust through the intervening variable, Psychology Empowerment. A survey was conducted on current employees of construction companies in metropolitan areas to empirically examine the research model. The result of study hypothesis on Self-Leadership is as follows; first, Self-Leadership showed a positive effect on Psychology Empowerment, Organization Citizenship Behaviour and Organizational Trust. Second, Psychology Empowerment showed a positive effect on Organization Citizenship Behaviour. Third, Psychology Empowerment showed a positive effect on Organizational Trust. The capacity of individuals is critical when it comes to competitiveness of construction companies. When employees willingly participate in building trust within the company, the work place will become more and more constructive; based on trust, efficiency will increase because people from different processes can work together and performance will also improve even when project managers are absent because others could help their role instead, thus driving more efficient human resource management to the company. To conclude, a company's vision can be spread wide and far when their employees engage themselves in Learning Organization with Self Leadership. They will also be satisfied with their work through improving interpersonal relationship at work.

Together with the emergence of Information and Communications Technology(ICT) and 4th Industrial Revolution, digital content is arising as a front-runner in the knowledge society. 21 century opened up an era of digital and cultural content, which is the industry to generating added values from future industries. This study aims to empirically examine the casual relation between three factors from Organizational Justice Theory Distributive, Procedural, Interactional Justices, and turnover intention through Organizational Immersion. A sample group for the analysis was employees at small/medium-sized digital content businesses with less than 60 workers. 200 questionnaires were distributed to the group for a week from July 22 to 28, 2019. 154 responses were collected and analyzed in this study, after eliminating 4 poor responses. The result of the study on Organizational Justice at digital content businesses showed that, first, Distributive Justice of the employees showed a positive influence on Organizational Immersion. Second, the employees' Procedural Justice showed a positive influence on Organizational Immersion. Third, the employee' Interactional Justice showed a positive influence on Organizational Immersion. Fourth, the employees' Organizational Immersion showed a positive influence on their turnover intention.