• Journal of Korea Society of Industrial Information Systems
• /
• v.22 no.3
• /
• pp.49-61
• /
• 2017

Due to Proliferation of Mobile Devices, the Global Mobile Application (App) Market is Set to Continue its Impressive Growth Trajectory. However, like other Digital Contents, Prevalent Piracy of Smartphone Apps has Become One of the Major Obstacles to the Growth of the Newborn App Industry. The Objective of this Study is to Examine and Better Understand the Effects of Factors Which has been Known to Influence PC Software Piracy. A Research Model Explaining the Impact of Various Factors to Smartphone App Piracy Attitude and Intention is Constructed Based on Theories of Ethical Behavior. A Survey of College Students was Conducted to Test the Research Model. Findings Show that PC Software Piracy Habit and Attitude have Significant Effects on Smartphone Piracy Attitude and Intention. Beliefs Concerning Judicial and Performance Risks Due to Piracy have Little Effects on Smartphone App Piracy Attitude.

• The Journal of Korean Institute of Information Technology
• /
• v.17 no.4
• /
• pp.87-97
• /
• 2019

SRS was proposed for immediate processing of the meaning of sensor data on mobile devices independent from specific sensor networks and sensor type. However, each time new sensor data is received, sensor data inspection operations are performed repeatedly, and it cause resulting in low performance. App profile-based SRS has been proposed to resolve the problem. The app profile-based SRS has improved the SRS problem through the profile, but has been tested in a virtual simulation environment. After that the test was experimented in a real-time environment, but has not been tested with a variety of dynamic factors. Therefore, this paper experiment considering such as user mobility and sensor density in real-time environment. And this paper also evaluate performance of the App profile-based through analysis of the results of the experiment. As a result, app profile-based SRS is high influence by density and sensor type, and the number of sensor node is not influence.

• Biomolecules & Therapeutics
• /
• v.14 no.2
• /
• pp.96-101
• /
• 2006

Amyloid$\beta(A{\beta})$ has been reported have an effect on the induction of oxidative stress that involves the functional and structural abnormalities in Alzheimer's disease. As a role of a radical scavenger, a green tea treatment was found have some inhibitory effect on the neurodegenerative process. The aim of this study was to determine if green tea catechin (GTC) reduces in transgenic model. To test this, transgenic mice carrying neuronspecific enolase (NSE) controlled C-terminus (105) of APP (APP-C105) were created and treated them with a low ana high dose of GTC for 6 months. Herein, we conclude that transgenic mice expressing NSE/APP-C105 were successfully created and the GTC-treated group exhibited significant reduction in body weight. Thus, GTC might be a good prevention of obesity or good treatment for AD patient.

• Journal of Animal Environmental Science
• /
• v.20 no.2
• /
• pp.57-62
• /
• 2014

It is very important, if necessary, to remotely monitor and control the body conditions and behavior of livestock as well as the environment of stall using ubiquitous ict, in order to improve the health and productivity of livestock. With the aim of developing a stall management system, this study investigated users' needs, analyzed them to design systems, developed a web-system and an app for stall management, then applied them to a test-bed. The use of the app developed will make it easy for livestock farmers to easily monitor and control environment of stall using their smartphones and allow them to take care of stall more efficiently.

• International Journal of Advanced Culture Technology
• /
• v.7 no.4
• /
• pp.321-326
• /
• 2019

As AI technology is recently introduced into various fields, it is being applied to the fashion field. This paper proposes a system for recommending cody clothes suitable for a user's selected clothes. The proposed system consists of user app, cody recommendation module, and server interworking of each module and managing database data. Cody recommendation system classifies clothing images into 80 categories composed of feature combinations, selects multiple representative reference images for each category, and selects 3 full body cordy images for each representative reference image. Cody images of the representative reference image were determined by analyzing the user's preference using Google survey app. The proposed algorithm classifies categories the clothing image selected by the user into a category, recognizes the most similar image among the classification category reference images, and transmits the linked cody images to the user's app. The proposed system uses the ResNet-50 model to categorize the input image and measures similarity using ORB and HOG features to select a reference image in the category. We test the proposed algorithm in the Android app, and the result shows that the recommended system runs well.

• Educational Technology International
• /
• v.23 no.2
• /
• pp.183-205
• /
• 2022

Mental status examination is an important stage in the assessment process because it serves as the foundation for establishing nursing diagnosis and intervention. Until now many students still feel difficult to understand the terms in the assessment of mental status. Interactive Mobile Learning in one of the media that is currently being developed. The use of this media will provide more in-depth learning opportunities, and students can practice their skills in carrying out practicals because of the mobility principle possessed by smartphones. The purpose of this study was to develop a smartphone-based app and evaluate the app's effectiveness by measuring nursing students' knowledge of mental status examination. Design: A randomized trial with a pre-and post-test design was conducted at a university in Indonesia. A total of seventy junior nursing students participated in this study. The intervention group received a smartphone-based app, and the control group received one-time lecture-based learning. We offered the experimental group the app and information about how to use it, and we encouraged them to use it. The control group received classroom instruction. Results: The intervention group scored significantly higher than the control group on knowledge score (t = 19.40, p = 0.000) and satisfaction with the learning method (t = 0.640, p = 0.021) Conclusion: These findings suggest that smartphonebased education could be an effective method in nursing education for teaching mental status examinations.

• International Journal of Computer Science & Network Security
• /
• v.24 no.9
• /
• pp.77-84
• /
• 2024

Emotional health is important for overall health, and those who are experiencing difficulties should seek professional help. However, the social stigma associated with emotional health, as well as the influence of cultural beliefs, prevent many people from seeking help. This makes early detection difficult, which is critical for such health issues. It would be extremely beneficial if they could assess their emotional state and express their thoughts without prejudices. On the market, there are emotional health apps. However, there was little to no evidence-based information on their quality. Hence, this study was conducted in order to provide evidence-based quality in emotional health mobile apps. Eleven functionality task scenarios were used to assess functional quality, while a System Usability Scale test (n=20) was used to assess usability, customer acceptability, learnability, and satisfaction. The findings show that the app for emotional health management is highly efficient and effective, with a high level of user satisfaction. This contributes to the creation of an app that will be useful and practical for people experiencing early-stage emotional health issues, as well as related stakeholders, in order to manage early-stage emotional health issues.

• Korean Management Science Review
• /
• v.30 no.3
• /
• pp.33-54
• /
• 2013

The purpose of this study is to examine the relationships between Product Quality (Popularity, Playfulness) and Information Quality (Informativeness, Reliability), System Quality (Ease of Use, Security), Trust and Continuance Intention in Smart Phone Application Market. To identify these affecting relationships, the secondary data or past studies were collected and theoretically arranged. I made the theoretical proposed model to explain the relationships between the constructs, identify the operational definitions and 13 Hypotheses were established, there was executed the survey of 250 customers of Smart Phone Application Market. Using the collected data, previous performances to confirm the construct validity and internal consistency by Cronbach's a was executed and Partial Least Square Analysis to confirm the hypotheses in proposed model was conducted using the Smart-PLS Software. As the result of test that make the relations of used variables clear, we can get the conclusion as followings; First, Product Popularity has the positive effect on Informativeness, except reliability of Information. Second, it was significantly tested the effect on the Ease of use and Security by Product Playfulness. Third, Informativeness and Ease of Use, Security of App Store have the significantly positive effects on the Users' Trust directly. From the empirical test, I suggest the strategic advices in App Store Companies. To increase the Users' Continuance Intention or Loyalty, it would be developed that a variety of methods and ways to raise the Product Popularity and Playfulness, Informativeness, Ease of Use and Security of App Store. It is necessary for sticking the Users to raise the positive trust building and Continuance Intention.

• The Journal of the Korea Contents Association
• /
• v.21 no.1
• /
• pp.311-320
• /
• 2021

At present, the secondary school teacher employment examination(SSTEE) is the only gateway to become a national and public secondary teacher in Korea, and after the revision from the 2014 academic year, all the questions of the exam have been converted to supply-type test items, requiring more definitive, accurate, and solid answers. Compared to the selection-type test items that measure recognition memory, the supply-type questions, testing recall memory, require constant memorization and retrieval practices to furnish answers; however, there is not enough learning tools available to support the practices. At this juncture, this study invented a mobile app, called ONE PASS, for the SSTEE. By unpacking the functional mechanisms of the brain, the basis of cognitive processing, this ONE PASS app offers a set of tools that feature brain-based learning principles, such as a personalized study planner, motivation measurement scales, mind mapping, brainstorming, and sample questions from previous tests. This study is expected to contribute to the research on the development of learning contents for applications, and at the same time, it hopes to be of some help for candidates in their exam preparation process.

• The Transactions of the Korean Institute of Electrical Engineers C
• /
• v.49 no.5
• /
• pp.315-320
• /
• 2000

This paper presents the fabrication and test of a micropump with an electromagnetic actuator and a pair of aluminum flap valves. The actuator consists of a solenoid coil, a permanent magnet and an actuator diaphragm. The actuator diaphragm is fabricated by the spin coating of silicone rubber. The valve are passive ones and are fabricated by micromachining. The deflection of the fabricated actuator diaphragm is measured with a laser vibrometer. The deflection of the actuator diaphragm is proportional to the input current. The measured deflection of the fabricated diaphragm is $400 \mum$,/TEX> when the input is 118 mApp, and the cut-off frequency is 50 Hz. The maximum flow rate of the fabricated micropump with the electromagnetic actuator is about 5$0 \muell/min$ at 5 Hz when the input current and the duty ratio of the square was are 118 mApp and 50%, respectively.