• International journal of advanced smart convergence
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• 제8권2호
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• pp.132-139
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• 2019

We address the problem about forecasting the direction of stock price movement in the Korea market. Recently, the deep neural network is popularly applied in this area of research. In deep neural network systems, proper parameter initialization reduces training time and improves the performance of the model. Therefore, in our study, we propose a novel parameter initialization technique and apply this technique for the stock price movement prediction model. Specifically, we design a framework which consists of two models: a base model and a main prediction model. The base model constructed with LSTM is trained by using the large data which is generated by a large amount of the stock data to achieve optimal parameters. The main prediction model with the same architecture as the base model uses the optimal parameter initialization. Thus, the main prediction model is trained by only using the data of the given stock. Moreover, the stock price movements can be affected by other related information in the stock market. For this reason, we conducted our research with two types of inputs. The first type is the stock features, and the second type is a combination of the stock features and the Korea Composite Stock Price Index (KOSPI) features. Empirical results conducted on the top five stocks in the KOSPI list in terms of market capitalization indicate that our approaches achieve better predictive accuracy and F1-score comparing to other baseline models.

• International journal of advanced smart convergence
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• 제10권3호
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• pp.181-186
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• 2021

Among human intellectual creations, the right granted by law to what is worth protecting is defined as intellectual property rights. Copyright is a legal right to creative finished products made by individuals, and in recent years, this legal right has been recognized as very important. In other words, copyright is a system created to protect the rights of individuals who created creations and to recognize their efforts. Works subject to copyright vary from poetry, thesis, novels to designs, paintings, music, and architecture, and the scope of the subject is gradually expanding. Recently, research has begun on how far the Metaverse design area absorbed into the real world among works. Computer-generated video productions and software program works are also subject to digital copyright protection, but it is also true that the interpretation of the author protection law for works, designs, and trademarks in the virtual world is unclear. This study aims to analyze copyrights based on case studies and theoretical backgrounds on copyright protection and to discuss the protection limitations of Metaverse design in the virtual world. In other words, the direction for the protection of Metaverse design is presented through clear distinction and definition of copyright protection in the tertiary virtual world. This study aims to present methods for design copyright protection in the era of Metaverse, respect copyright holders' creative activities, and develop our culture through protection of creations.

• International journal of advanced smart convergence
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• 제10권1호
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• pp.151-158
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• 2021

The main cause of ulcer is pressure, which starts to develop when the critical body pressure (32mmHg) is exceeded, and when the critical time elapses, ulcer occurs. In this study, the keyboard mechanism of the medical bed with 4 bar links was adopted, and each key can be controlled vertically. A key has one servo drive and one sensor controller which hasseveral body pressure sensors. The sensor controllers and the servo drives are connected to the main controller by two CAN (Car Are Network) in series, respectively. By reading the maximum body pressure value of each keyboard sensor, and by calculating the error value based on the critical body pressure, the fuzzy controller moves each key so that the total error becomes zero. If the fuzzy controller fails, then it prevents ulcer by lifting and lowering the keys of the bed alternatively within a short time. Thus, the controller operates in two-stage. The validity and effectiveness of the proposed approach have been verified through experiments.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.163-167
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• 2023

The restaurant industry is an industry with low entry barriers, and furthermore, it is an indispensable industry in life. However, for the restaurant industry, it is necessary to start a business considering many factors. In particular, the comparative group for each restaurant industry is different, and the commercial area analysis should be analyzed differently. Moreover, counseling for restaurant start-ups is still sticking to how to start a restaurant by meeting with each franchise supervisor or counselor. Therefore, a restaurant start-up chatbot is needed for prospective restaurant founders, and a food tech chatbot is needed to collect basic data. Therefore, in this study, factors for restaurant start-ups were divided into youth, preliminary start-ups, menus, taste, and food. In the case of restaurant start-ups with low entry barriers, it was confirmed as the most preferred start-up by young people. However, indiscriminate restaurant start-ups not only increase the closing rate but also have a significant impact on household debt, so accurate consulting should be used to lower the closing rate and increase the success rate. Furthermore, theories and measures for food technologies such as chatbots should be further developed to obtain accurate information on franchise start-ups.

• International journal of advanced smart convergence
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• 제12권1호
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• pp.92-100
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• 2023

Wireless communication technology is becoming increasingly prevalent in smart factories, but the rise in the number of wireless devices can lead to interference in the ISM band and obstacles like metal blocks within the factory can weaken communication signals, creating radio shadow areas that impede information exchange. Consequently, accurately determining the radio communication coverage range is crucial. To address this issue, a Radio Environment Map (REM) can be used to provide information about the radio environment in a specific area. In this paper, a technique for estimating an indoor REM usinga mobile robot and machine learning methods is introduced. The mobile robot first collects and processes data, including the Received Signal Strength Indicator (RSSI) and location estimation. This data is then used to implement the REM through machine learning regression algorithms such as Extra Tree Regressor, Random Forest Regressor, and Decision Tree Regressor. Furthermore, the numerical and visual performance of REM for each model can be assessed in terms of R2 and Root Mean Square Error (RMSE).

• International journal of advanced smart convergence
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• 제12권4호
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• pp.182-189
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• 2023

A recently research, object detection and segmentation have emerged as crucial technologies widely utilized in various fields such as autonomous driving systems, surveillance and image editing. This paper proposes a program that utilizes the QT framework to perform real-time object detection and precise instance segmentation by integrating YOLO(You Only Look Once) and Mask R CNN. This system provides users with a diverse image editing environment, offering features such as selecting specific modes, drawing masks, inspecting detailed image information and employing various image processing techniques, including those based on deep learning. The program advantage the efficiency of YOLO to enable fast and accurate object detection, providing information about bounding boxes. Additionally, it performs precise segmentation using the functionalities of Mask R CNN, allowing users to accurately distinguish and edit objects within images. The QT interface ensures an intuitive and user-friendly environment for program control and enhancing accessibility. Through experiments and evaluations, our proposed system has been demonstrated to be effective in various scenarios. This program provides convenience and powerful image processing and editing capabilities to both beginners and experts, smoothly integrating computer vision technology. This paper contributes to the growth of the computer vision application field and showing the potential to integrate various image processing algorithms on a user-friendly platform

• International journal of advanced smart convergence
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• 제12권4호
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• pp.63-74
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• 2023

This study compared news coverage of national and international disasters, Hurricane Katrina and the Haiti Earthquake, using textual analysis of The New York Times and The Washington Post. The results reveal that media framing of the historical cases developed in three stages upon the development of post-disaster relief: (1) Call for humanitarian assistance; (2) New Orleans under anarchy and hopelessness vs. Haiti under scrutiny with hope; and (3) Katrina effects. By framing the outcomes of the hurricane as the "Katrina effect," the media used the disaster as a reference point to explain other economic and political issues. In addition, analysis of relevant statements and press releases confirmed that different social actors involved in the relief process, such as donors, facilitators, and beneficiaries, contributed to the media framing of the issue, although the facilitators were most successful in transferring their own frames to media frames. This study makes important contributions to the field as it looks beyond traditional relationships between quantitative measures of media attention and aid allocation. For governmental and nongovernmental organizations in the area of humanitarian assistance, the findings of this study will assist them in media-relations in the future.

• International journal of advanced smart convergence
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• 제12권4호
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• pp.458-463
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• 2023

This study presents a paper on the implementation of a Raspberry Pi-based educational smart farm system. It confirms that in a real smart farm environment, the control of temperature, humidity, soil moisture, and light intensity can be smoothly managed. It also includes remote monitoring and control of sensor information through a web service. Additionally, information about intruders collected by the Pi camera is transmitted to the administrator. Although the cost of existing smart farms varies depending on the location, material, and type of installation, it costs 400 million won for polytunnel and 1.5 billion won for glass greenhouses when constructing 0.5ha (1,500 pyeong) on average. Nevertheless, among the problems of smart farms, there are lax locks, malfunctions to automation, and errors in smart farm sensors (power problems, etc.). We believe that this study can protect crops at low cost if it is complementarily used to improve the security and reliability of expensive smart farms. The cost of using this study is about 100,000 won, so it can be used inexpensively even when applied to the area. In addition, in the case of plant cultivators, cultivators with remote control functions are sold for more than 1 million won, so they can be used as low-cost plant cultivators.

• International journal of advanced smart convergence
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• 제13권2호
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• pp.222-228
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• 2024

The purpose of this study was to investigate the effect of 8 weeks of forestry exercise on the quality of life and physical self-concept of breast cancer survivors. The subjects of this study were eight breast cancer survivors 6 months after mastectomy. The forest combined exercise program consisted of aerobic exercise through forest walking and resistance exercise using elastic bands. The forest combined exercise was conducted twice for 8 weeks. Forest trekking consisted of a 2km walking speed and resistance exercise consisted of three levels of sets and intensity. The format was divided into gradual increases. The exercise time was 40 to 60 minutes for forest trekking, 20 to 30 minutes for descent, and 40 to 60 minutes for resistance exercise, for a total of 120 to 130 minutes per day. Breast cancer survivors' quality of life was measured using a questionnaire, and changes in quality of life were measured using a t-test (α=.05). Physical self-concept was assessed through in-depth interviews. There was no statistically significant difference in quality of life before and after 8 weeks of combined forestry exercise, but there was a slight tendency to increase in the area of physical well-being. Physical self-concept showed positive changes in motivation, physical strength improvement, health promotion, physical competence, and self-confidence through the forest composite exercise. Therefore, the forest composite exercise is believed to have a positive effect on the physical self-concept of breast cancer survivors.

• International journal of advanced smart convergence
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• 제13권1호
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• pp.37-47
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• 2024

This study presents the results of designing a system that determines the location of a person in an indoor environment based on a single IMU sensor attached to the tip of a person's shoe in an area where GPS signals are inaccessible. By adjusting for human footfall, it is possible to accurately determine human location and trajectory by correcting errors originating from the Inertial Measurement Unit (IMU) combined with advanced machine learning algorithms. Although there are various techniques to identify stepping, our study successfully recognized stepping with 98.7% accuracy using an artificial intelligence model known as Long Short-Term Memory (LSTM). Drawing upon the enhancements in our methodology, this article demonstrates a novel technique for generating a 200-meter trajectory, achieving a level of precision marked by a 2.1% error margin. Indoor pedestrian navigation systems, relying on inertial measurement units attached to the feet, have shown encouraging outcomes.