• Journal of Korea Society of Digital Industry and Information Management
• /
• v.10 no.4
• /
• pp.109-116
• /
• 2014

In recent, ISM (Industrial Scientific Medical) band that is 2.4GHz band authorized free of charge is being widely used for smart phone, notebook computer, printer and portable multimedia devices. Accordingly, studies have been continuously conducted on the possibility of coexistence among nodes using ISM band. In particular, the interference of IEEE 802.11b based Wi-Fi device using overlapping channel during communication among IEEE 802.15.4 based wireless sensor nodes suitable for low-power, low-speed communication using ISM band causes serious network performance deterioration of wireless sensor networks. This paper examined a method of identifying channel status to avoid interference among wireless communication devices using IEEE 802.11b (Wi-Fi) and other ISM bands during communication among IEEE 802.15.4 based wireless sensor network nodes in ISM band. To identify channels occupied by Wi-Fi traffic, various studies are being conducted that use the RSSI (Received Signal Strength Indicator) value of interference signal obtained through ED (Energy Detection) feature that is one of IEEE 802.15.4 transmitter characteristics. This paper examines an algorithm that identifies the possibility of using more accurate channel by mixing utilization of interference signal and RSSI mean value of interference signal by wireless sensor network nodes. In addition, it verifies such algorithm by using OPNET Network verification simulator.

• Journal of Family Relations
• /
• v.22 no.2
• /
• pp.71-97
• /
• 2017

Objectives: The purpose of this research was to analyze the influence of self-actualization needs, dependence on parents, and work-family balance stress affecting on the marriage friendly attitudes among the unmarried women in twenties and thirties. Method: The participants were 315 unmarried women connected by SNS. The data were collected by questionnaire method through SNS by the smart phone using by the snowball sampling method and analyzed by t-test, ANOVA, and hierarchical multiple regression analysis. Results: First, there were significant differences in the marriage friendly attitudes according to education level, religion, dating. In the case of college graduates, having religion and dating partner, unmarried women had more marriage friendly attitudes. Second, the results of multiple regression showed that the marriage friendly attitudes among unmarried women was significantly influenced by education, religion, and the humanity factor among the self-actualization needs, emotional dependence on parents and work-family balance stress. In addition, the humanity factor among the self-actualization needs was found to be the most influential factor on the marriage friendly attitudes among unmarried women in this study. Conclusion: This study suggests the importance of emphasizing humanity education, having the emotional close relationship with the parents, and enforcing social systems for work-family balance for the greater marriage friendly attitudes of unmarried women in twenties and thirties.

• Journal of the Institute of Convergence Signal Processing
• /
• v.21 no.1
• /
• pp.29-37
• /
• 2020

This paper implements a method of extracting an object about a dog through real-time image analysis and classifying dog behaviors from the extracted images. The Darknet YOLO was used to detect dog objects, and the Teachable Machine provided by Google was used to classify behavior patterns from the extracted images. The trained Teachable Machine is saved in Google Drive and can be used by ml5.js implemented on a node.js server. By implementing an interactive web server using a socket.io module on the node.js server, the classified results are transmitted to the user's smart phone or PC in real time so that it can be checked anytime, anywhere.

• The Journal of the Korea Contents Association
• /
• v.21 no.3
• /
• pp.270-281
• /
• 2021

The emergence of social media and technical development of smart phone allows media users to produce, share and spread a variety of contents, which results in a big change in their media usage pattern. Among those changes, the most prominent one is Youtube's powerful growth. Creators' enthusiastic content productions and users' active sharing actions are caused of the growth. Recently, creators give a powerful effect on users as social media influencer, and the practice of influencer marketing has been focused. This current study is examined the effects of parasocial interaction and relationship on brand attitude and purchase intention. Specially, parasical interaction is divided into identification, interest, and experience parasocial interaction, and the divisions of relationship are trustworthy, friendship, understanding, and commitment. As a result, interest and trustworthy are significant predictors of brand attitude. Also, experience parasocial interaction is negative and friendship is positive predictors of purchase intention. Theoretical and practical implication are discussed.

• Journal of Korean Society for Quality Management
• /
• v.48 no.4
• /
• pp.581-596
• /
• 2020

Purpose: purpose of this study was to propose the web application platform which can be to detect and discriminate various diseases and pest of tomato plant based on the large amount of disease image data observed in the facility or the open field. Methods: The deep learning algorithms uesed at the web applivation platform are consisted as the combining form of Faster R-CNN with the pre-trained convolution neural network (CNN) models such as SSD_mobilenet v1, Inception v2, Resnet50 and Resnet101 models. To evaluate the superiority of the newly proposed web application platform, we collected 850 images of four diseases such as Bacterial cankers, Late blight, Leaf miners, and Powdery mildew that occur the most frequent in tomato plants. Of these, 750 were used to learn the algorithm, and the remaining 100 images were used to evaluate the algorithm. Results: From the experiments, the deep learning algorithm combining Faster R-CNN with SSD_mobilnet v1, Inception v2, Resnet50, and Restnet101 showed detection accuracy of 31.0%, 87.7%, 84.4%, and 90.8% respectively. Finally, we constructed a web application platform that can detect and discriminate various tomato deseases using best deep learning algorithm. If farmers uploaded image captured by their digital cameras such as smart phone camera or DSLR (Digital Single Lens Reflex) camera, then they can receive an information for detection, identification and disease control about captured tomato disease through the proposed web application platform. Conclusion: Incheon Port needs to act actively paying.

• Physical Therapy Rehabilitation Science
• /
• v.10 no.1
• /
• pp.76-81
• /
• 2021

Objective: Smartphone addiction can cause forward head posture, carpal tunnel syndrome and depression, and anxiety. Various interventions have been proposed to resolve Smartphone addiction. However, research regarding the efficacy of these interventions remains lacking. This study was conducted to investigate the effect of tDCS (Transcranial Direct Current Stimulation) on smartphone addiction solution and stress reduction. Design: A randomized controlled trial. Methods: The participants were divided randomly into two group (tDCS vs. Control). tDCS was applied to 41 adults (22.95±2.76 years). The tDCS group was applied 2 mA, for 13 minutes twice over a 26 minute period (n₁ = 21). The control (n₂ = 20) was not applied after padding and was applied twice for 13 minutes over a 26 minute period. This study was conducted four times a week for a total of four weeks. Results: Smartphone addiction for tDCS showed significant improvement in the results in the S-score (p<0.05, 95% CI: 0.702, 4.922), and the result of heart rate (HR) and skin conductivity (SC) to stress. The tDCS group and control group showed no significant decrese in the results in the HR (p>0.05, 95% CI: -3.390, 8.332), but tDCS group showed significant decrese in the results in the SC (p<0.05, 95% CI: 0.060, 1.343) Conclusions: This study suggected that smartphone addiction treatment and decreses of stress. The use of tDCS will reduce the addiction rate of adults and reduce stress, so that possible side effects in society can be solved.

• PNF and Movement
• /
• v.19 no.2
• /
• pp.261-267
• /
• 2021

Purpose: This study aimed to investigate changes in gait variables depending on whether a task was performed using a smartphone while walking on a ramp. Methods: The participants of this study were 41 college students attending U University located in Gyeongju City, Gyeongsangbuk-do. In this study, gait variables were measured during ramp gait while using a smartphone to perform a task and during ramp gait without performing such tasks. In other words, four walking conditions were used: 1) walking up a ramp, 2) walking up a ramp while using a smartphone to perform a task, 3) walking down a ramp, and 4) walking down a ramp while using a smart phone to perform a task. Gait variables were measured using a gait analysis tool (Legsys; BioSensics, USA), and stride time, stride length, stride velocity, cadence, and double support were analyzed. The order of measurements was randomized to control for order effects due to repeated measurements. Results: The comparative analysis of gait variables according to the presence or absence of smartphone use during ramp gait showed that there were significant differences in stride time, stride length, and stride velocity during both ramp ascent and ramp descent (p < 0.05). In both ramp ascent and ramp descent, stride time increased when walking using a smartphone, compared to when walking without using a smartphone (p < 0.05). However, in both ramp ascent and ramp descent, stride length and stride velocity were decreased when walking using a smartphone compared to when walking without using a smartphone (p < 0.05). Conclusion: The study results showed that the use of a smartphone during walking can affect safety. Therefore, it is necessary to improve the awareness of risks associated with walking while using a smartphone, and further research needs to be conducted in various environments and with different ramps.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.1
• /
• pp.139-146
• /
• 2022

The purpose of this study was to confirm the relationship between the subjective symptoms of smartphone addiction and visual display terminal syndrome in nursing college students and learning flow in the COVID-19 pandemic. For the collection of materials, the materials of the final 134 people were analyzed by collecting the students at the nursing colleges located in S city and M city for convenience. The collected materials were subjected to descriptive statistics, t-test, ANOVA, and Pearson's correlation coefficients using the SPSS / WIN 26 program. As a result of this study, the learning flow of nursing college students was negative correlated to the tendency of smartphone addiction and the subjective symptoms of visual display terminal syndrome. Therefore, to improve the learning flow of nursing college students, it is necessary to reduce the symptoms of smartphone addictive use and visual display terminal syndrome. The need for intervention and development of various effective programs for smart phone addiction management and display terminal syndrome management was suggested.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.15 no.1
• /
• pp.14-26
• /
• 2022

Recently, according to the severity of air pollution, interest in air pollution is increasing. The IoT based fine dust monitoring system proposed in this paper allows the measurement and monitoring of fine dust, volatile organic compounds, carbon dioxide, etc., which are the biggest causes affecting the human body among air environmental pollution. The proposed system consisted of a device that measures atmospheric environment information, a server system for storing and analyzing measured information, an integrated monitoring management system for administrators and smart phone applications for users to enable visualization analysis of atmospheric environment information in real time. In addition, the effectiveness of the proposed fine dust monitoring system based on the Internet of Things was verified by using the response speed of the system, the transmission speed of the sensor data, and the measurement error of the sensor. The fine dust monitoring system based on the Internet of Things proposed in this paper is expected to increase user convenience and efficiency of the system by visualizing the air pollution condition after measuring the air environment information with portable fine dust measuring device.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.31 no.6
• /
• pp.1115-1126
• /
• 2021

In this paper, we developed a mobile student ID providing a self sovereignty identity (SSI) which replaces the conventional plastic-type student ID that includes private information of a student such as a name, a student number, a facial photo, etc. The implemented mobile student ID solves the problem of exposing student's identity due to a loss or a theft of a plastic-type student ID, and it has a structure and process of FRANCHISE model which is developed by a concept of a decentralized Identity(DID) of a Blockchain, in which specialized for convenience as an electronic student ID through an application on a smart phone device. In addition, it protects student's privacy by controlling personal information on oneself. By using a smartphone, not only it easily identifies the student but also it expands to several services such as participation in school events, online authentication, and a student's exchange program among colleges.