• Journal of Engineering Education Research
• /
• v.20 no.3
• /
• pp.32-41
• /
• 2017

The $4^{th}$ industrial revolution refers to an era where machines capable of outperforming humans are created. In light of the 4th industrial revolution, university students are demanded problem solving abilities, critical thinking abilities, and problem discovering abilities as general and basic abilities. The need for changes in the university level communication education for engineering students remains imperative in this constantly changing social environment. The era where education is conducted only in classrooms is over. This paper discusses the need for diversified education such as the integration of online and offline education, the reinforcement of learning outside of the classroom as well as an education model that transcends formal and informal education such as games and activities that induce self-learning, both intentional and non-intentional learning, and the utilization of mass media and social networking systems. Through providing an education model that assesses and utilizes the data gained from the learning process provided above, this paper widens the perception of future education methods in the 4th industrial revolution.

• Journal of Digital Contents Society
• /
• v.19 no.7
• /
• pp.1253-1262
• /
• 2018

In this study, we propose a development environment for authoring quiz contents, which is based on the concept of "Gamification", which is the principle of Engagement and Reward. Future Services As a platform for authoring and composing technology, and also for educational contents authoring, I have reviewed key features and implications of HTML5 (CSS3.0, Java Script, etc.) along with key technologies. These features are key technologies for building a true smart learning environment. Based on this, a case of applying the gamification technique to enhance the educational effect was proposed through the quiz contents model.

• Smart Media Journal
• /
• v.6 no.4
• /
• pp.17-23
• /
• 2017

In recent days, all the business firms use IT-based services in a variety of ways to facilitate their consumer activities. A typical example is location-based services that send advertisements or discount coupons when a customer approaches near the business place. This is not the direct interaction between the business firms and the customer, and it is one of the way of sending the business related contents to the customer's smart-phone regardless of the customer's intention. The Business firms does not know in real time which customers sent promotional contents. Recently most of the business services are in this way. Therefore, a new type of location-based customer service is required for interaction between the business firm and the customer. This is a system that automatically identifies which customer visit a business place when the customer visits the business place delivers them to the computer of the business place in real time, and provides business customized services using the information. In this paper, we have developed a service based platform to identify the customer as well as interact with the customer based on the location based service using Beacon. This system will also provide an open platform environment that can be easily accessible to the various business firms, rather than limited to a specific business firms.

• Smart Media Journal
• /
• v.5 no.1
• /
• pp.38-43
• /
• 2016

As smart environment is spread out in our living environments, the needs of an approach related to Human Computer Interaction(HCI) is increases. One of them is head pose estimation. it related to gaze direction estimation, since head has a close relationship to eyes by the body structure. It's a key factor in identifying person's intention or the target of interest, hence it is an essential research in HCI. In this paper, we propose an approach for head pose estimation with pre-defined several directions by random forest classifier. We use canny edge detector to extract feature of the different facial image which is obtained between input image and averaged frontal facial image for extraction of rotation information of input image. From that, we obtain the binary edge image, and make two accumulated histograms which are obtained by counting the number of pixel which has non-zero value along each of the axes. This two accumulated histograms are used to feature of the facial image. We use CAS-PEAL-R1 Dataset for training and testing to random forest classifier, and obtained 80.6% accuracy.

• Smart Media Journal
• /
• v.11 no.4
• /
• pp.62-68
• /
• 2022

To prevent the spread of disease in aquaculture, it is a need for a system to predict fish diseases while monitoring the water quality environment and the status of growing fish in real time. The existing research in predicting fish disease were image processing techniques. Recently, there have been more studies on disease prediction methods through deep learning techniques. This paper introduces the research results on how to predict diseases of Paralichthys Olivaceus with deep learning technology in aquaculture. The method enhances the performance of disease detection rates by including data augmentation and pre-processing in camera images collected from aquaculture. In this method, it is expected that early detection of disease fish will prevent fishery disasters such as mass closure of fish in aquaculture and reduce the damage of the spread of diseases to local aquaculture to prevent the decline in sales.

• Smart Media Journal
• /
• v.12 no.10
• /
• pp.47-54
• /
• 2023

As understanding sudden climate change and agricultural productivity becomes increasingly important due to global warming, soil moisture prediction is emerging as a key topic in agriculture. Soil moisture has a significant impact on crop growth and health, and proper management and accurate prediction are key factors in improving agricultural productivity and resource management. For this reason, soil moisture prediction is receiving great attention in agricultural and environmental fields. In this paper, we collected and analyzed open field environmental data using a pilot field through random forest, a machine learning algorithm, obtained the correlation between data characteristics and soil moisture, and compared the actual and predicted values of soil moisture. As a result of the comparison, the prediction rate was about 92%. It was confirmed that the accuracy was . If soil moisture prediction is carried out by adding crop growth data variables through future research, key information such as crop growth speed and appropriate irrigation timing according to soil moisture can be accurately controlled to increase crop quality and improve productivity and water management efficiency. It is expected that this will have a positive impact on resource efficiency.

• Smart Media Journal
• /
• v.13 no.1
• /
• pp.60-66
• /
• 2024

The Internet of Things, which began by connecting sensors through a network, is developing into an intelligent IoT by combining it with artificial intelligence technology. Elevators are essential for high-rise buildings in the city, and elevators move from floor to floor and perform the functions of transporting goods and moving users. It is necessary to provide safe and convenient services for elevator users in high-rise buildings or special environments (hospitals, etc.). In an environment where rapid patient transportation is important, such as large hospitals, there is a problem that hospital staff and the general public often use the elevator for patients. In particular, when moving patients where golden time is important, the waiting time to board the elevator is a major hindrance. In order to solve this problem, this study proposes an intelligent IoT system for elevator calling using smartphone Bluetooth. First, we experimented with the elevator calling IoT system using smartphone Bluetooth, and as a result of the experiment, it was confirmed that it can authenticate elevator users and reduce unnecessary waiting time for boarding. In addition, we propose an intelligent IoT system that connects with intelligent IoT.

• Smart Media Journal
• /
• v.12 no.8
• /
• pp.9-17
• /
• 2023

The development of information and communication technology and the improvement of the development and dissemination of smart devices have caused changes in the form of tourism, and the concept of smart tourism has since emerged. In this regard, researches related to smart tourism has been conducted in various fields such as policy implementation and surveys, but there is a lack of research on application reviews. This study collects Trip Advisor application review data in the Google Play Store to identify usage of the application and user satisfaction through Latent Dirichlet Allocation (LDA) topic modeling. The analysis results in four topics, two of which are positive and the other two are negative. We found that users were satisfied with the application's recommendation system, but were dissatisfied when the filters they set during search were not applied or that reviews were not published after updates of the application. We suggest more categories can be added to the application to provide users with different experiences. In addition, it is expected that user satisfaction can be improved by identifying problems within the application, including the filter function, and checking the application environment and resolving the error occurring during the application usage.

• Smart Media Journal
• /
• v.12 no.11
• /
• pp.175-184
• /
• 2023

The elderly in rural areas are faced with the dilemma of poor community environment, weak social communication ability and insufficient pension knowledge reserve. In addition, due to the serious shortage of social security facilities in rural areas and medical resources, the elderly are struggling, and the suicide rate is far higher than that in urban areas. In order to make the elderly have a comfortable pension environment and face the increasingly serious aging problem with a positive attitude, this paper takes the community environment of the Baima Tibetan elderly in Tielou Township, Gansu Province as the research object of aging transformation. First of all, literature data were used to carry out research on the aging transformation in rural areas. On the basis of sorting out previous research topics, ERG theory was determined as the guide. Secondly, the research methods of on-site investigation, interview and other research methods are adopted to investigate the number of left-behind elderly people in this area, and classify them according to the national standards. At the same time, the image of the current situation of the community environment of the elderly. Finally, combined with the ERG theory, the transformation design of the elderly living environment is implemented, mainly from the three aspects of survival, mutual relationship and growth.

• Journal of Advanced Navigation Technology
• /
• v.14 no.3
• /
• pp.409-414
• /
• 2010

Recently, It has enlarged various service requirements for the market of elevator with the environment of IT convergency. In this paper, we propose the information and control system of elevator based on media streaming service that is extended from the existing control system of an elevator. There is the service environments based on Internet for architecture of information communication in the framework of the suggested streaming service. We use this framework to operate and integrate the various services of elevator system. And also, we so apply to the user requirements easily that we can construct the smart elevator environment by convergence home network and various electronic devices based on IT.