• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.1049-1058
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• 2022

HAR(Human Action Recognition) such as anomaly and object detection has become a trend in research field(s) that focus on utilizing Artificial Intelligence (AI) methods to analyze patterns of human action in crime-ridden area(s), media services, and industrial facilities. Especially, in real-time system(s) using video streaming data, HAR has become a more important AI-based research field in application development and many different research fields using HAR have currently been developed and improved. In this paper, we propose and analyze a deep-learning-based HAR that provides more efficient scheme(s) using an intelligent AI models, such system can be applied to media services using RGB video streaming data usage without feature extraction pre-processing. For the method, we adopt Slowfast based on the Deep Neural Network(DNN) model under an open dataset(HMDB-51 or UCF101) for improvement in prediction accuracy.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.331-340
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• 2013

Depaysement, suggested by the well-known surrealist Rene Magritte, has been used for and applied to many media. Application of depaysement through various media such as TV, commercial, and advertisement, attempted to provide interest by deviation from fixed ideas and visual shock, placing common objects in new and strange environment. The study applied screen projection mapping using a transparent screen and objet for different purposes to projection mapping media, applying depaysement to the artwork 'Illusion' in order to suggest visual pleasure, possibility as a new media, and projection mapping using transparent screen and objet. The work cases were suggested by applying expressive methods and effects according to three classifications - modulation of space, combination of conflicting images, and transformation and change of objects - in depaysement, and analyzed by types based on classification of the layout, typography, image, color, and time. Through 'Illusion,' new objet and characteristics of the media are applied and expanded by using projection mapping and depaysement.

• Journal of Advanced Navigation Technology
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• v.12 no.6
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• pp.583-590
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• 2008

U-AD using Mobile RFID is service of new concept. It will be able to provide a service to the user by reading Tag information which is attach in the CDs, the books and medical supply etc. with cellular phone equipped with RFID device which is available for reading RFID tags. Applies like this service and when reacting Tag with RFID Readers of the cellular phone, the advertisement contents which is not the possibility of seeing fragmentarily in the outside develops the service which is the possibility with the cellular phone of seeing at real-time with aim. U-AD using Mobile RAD detail shows product information by cell phone, user exactly knows desire product and looks forward purchasing efficiently. Also advertiser benefit from U-AD using Mobile RFID since advertises effects of product sufficiently are increased. And then it expands demand on product.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.7
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• pp.847-856
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• 2017

In this paper, we propose a system to users which recommends suitable park using linguistic objects by rule-based inference engine which is made with Prolog. According to the function of city park, which provides positive elements to people such as social, psychological, environmental, and physical, Seoul city park is classified into 6 categories. The classified parks are recommended to users based on the rule based expert system. Rule-based object of park recommendation designs nine linguistic objects based on activity, multi-purposiveness, accessibility, and usage of time. This assigns allowed value accordingly. Generated rules by using these values are fired by user's preference, and infer recommended park. Information on preferences is obtained by way of dialogue, in which the user is asked questions about the three elements that are the criteria for choosing a park. As a result, through the park recommendation system, we intend to increase the user's satisfaction of using park and leisure activities.

• Journal of Korea Game Society
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• v.20 no.3
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• pp.45-54
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• 2020

An automated system using a embedded board is required to generate the notation input of the offline Go game. This paper integrates shape and color information of the objects on the Go game board for light-insensitive processing and reduces the computation step. This paper combined the detection of obstacles using connected components with the computation of canny edge detection and HSV-based detection. As a result, the processing time is reduced in the embedded environment so that reliable notation can be automatically stored even in real-time play environment.

• Smart Media Journal
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• v.2 no.1
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• pp.42-47
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• 2013

The paper presents VDR system for efficiency of ocean navigation device and how to output and to save data using this system as well as compressed digital data and analog video output from the camera are utilized at the same time. The compressed digital data is used to store video for VDR device while analog video is used to display on screen in real-time so that VDR system saves the load on SD memory card without navigation terminal and output it with real-time video. Also, the control method using VDR system are proposed for saving and outputting data.

• Journal of Internet Computing and Services
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• v.17 no.6
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• pp.153-158
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• 2016

As the number of social network users increases, the information on event such as social issues and disasters receiving attention in each region is promptly posted by the bucket through social media site in real time, and its social ripple effect becomes huge. This study proposes a detection method of events that draw attention from users in specific region at specific time by using twitter data with regional information. In order to collect Twitter data, we use Twitter Streaming API. After collecting data, We implemented event detection system by analyze the frequency of a keyword which contained in a twit in a particular time and clustering the keywords that describes same event by exploiting keywords' co-occurrence graph. Finally, we evaluates the validity of our method through experiments.

• International Journal of Internet, Broadcasting and Communication
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• v.11 no.3
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• pp.106-110
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• 2019

The interaural level difference (ILD) used for the sound localization using stereo signals is to find the difference in energy that the sound source reaches both ears. The conventional ILD does not consider the time difference of the stereo signals, which is a factor of lowering the accuracy. In this paper, we propose a synchronized ILD that obtains the ILD after synchronizing these time differences. This method uses the cross-correlation function (CCF) to calculate the time difference to reach both ears and use it to obtain synchronized ILD. In order to prove the performance of the proposed method, we conducted two sound localization experiments. In each experiment, the synchronized ILD and CCF or only the synchronized ILD were given as inputs of the deep neural networks (DNN), respectively. In this paper, we evaluate the performance of sound localization with mean error and accuracy of sound localization. Experimental results show that the proposed method has better performance than the conventional methods.

• Smart Media Journal
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• v.13 no.2
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• pp.16-22
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• 2024

Greenhouse provides opportunities to have big yield effectively and efficiently. However, many resources are required, such as fertigation, a kind of solution of nutrient. Resources supply is essential to cultivate crops. Inadequate supply will hinder plant growth whereas the surplus results in waste. In this paper, we are especially interested in the fertigation supply. Further, excess fertigation leads to drainage which is difficult to purify and threatens the environment. To address this challenge, we aim to predict the desired amount of fertigation. To achieve this objective, we first establish a prototype to record the climate conditions inside a rose greenhouse using Internet of Things sensors. Simultaneously, the desired fertigation amount is obtained with the help of weight scale and historical data of fertigation supply and drainage. Second, a method is proposed to predict the desired fertigation by taking the sensors' data as input, with a time-series model. Extensive experimental results suggest the potential of our objective and method. To be specific, our method achieves an average MAE 0.032 in the validation datasets.

• Smart Media Journal
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• v.13 no.4
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• pp.16-22
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• 2024

Pitching is a major part of baseball, so much so that it can be said to be the beginning of baseball. Analysis of accurate pitching motions is very important in terms of performance improvement and injury prevention. When analyzing the correct pitching motion, the currently used motion capture method has several critical environmental drawbacks. In this paper, we propose analysis of pitching motion using the RGB-based Human Pose Estimation (HPE) model to replace motion capture, which has these shortcomings, and use motion capture data and HPE data to verify its reliability. The similarity of the two data was verified by comparing joint coordinates using the Dynamic Time Warping (DTW) algorithm.