• KIPS Transactions on Software and Data Engineering
• /
• v.5 no.7
• /
• pp.319-326
• /
• 2016

Given the attributes of mobile apps that shorten the time to make purchase decisions while enabling easy purchase cancellations, usability can be regarded to be a highly prioritized quality attribute among the diverse quality attributes that must be provided by mobile apps. With that backdrop, mobile app developers have been making great effort to minimize usability hampering elements that degrade the merchantability of apps in many ways. Most elements that hamper the convenience in use of mobile apps stem from those potential errors that occur when GUIs are designed. In our previous study, we have proposed a technique to analyze the usability of mobile apps using user behavior logs. We proposes a technique to detect usability hampering elements lying dormant in mobile apps' GUI models by expressing user behavior logs with finite state models, combining user behavior models extracted from multiple users, and comparing the combined user behavior model with the expected behavior model on which the designer's intention is reflected. In addition, to reduce the burden of the repeated test operations that have been conducted by existing developers to detect usability errors, the present paper also proposes a mobile usability error detection automation tool that enables automatic application of the proposed technique. The utility of the proposed technique and tool is being discussed through comparison between the GUI issue reports presented by actual open source app developers and the symptoms detected by the proposed technique.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.10a
• /
• pp.522-525
• /
• 2015

In this paper, we propose a walking aid system that guides route to visually impaired people in order to recognize uncertain obstacles based on tactile stimulation. The proposed system is composed of the touch-based obstacle detection module, the obstacle height detection module, and the route guidance algorithms. The touch-based obstacle detection module detects each obstacle, which is located at left, right, and front of a visually impaired person by stimulating his thumb with the rotational force of the servomotor. The obstacle height detection module integrates detected data by the linear arrangement of ultrasonic sensors to identify the height of an obstacle about 3 of-phase(i.e., high, medium, low). The proposed route guidance algorithm guides an optimized path to the visually impaired person by updating his current position information based on the signal of the built-in GPS receiver in smartphone. In addition, the route guidance algorithm delivers information with speech to a visually impaired person through Bluetooth commuination in the developed route guidance app. The proposed system can create a path to avoid the obstacles by recognizing the placed situation of the obstacles with exploring the uncertain path.

• Smart Media Journal
• /
• v.11 no.4
• /
• pp.9-18
• /
• 2022

Recently, research and system using AI is rapidly increasing in various fields. Smart farm using artificial intelligence and information communication technology is also being studied in agriculture. In addition, data-based precision agriculture is being commercialized by convergence various advanced technology such as autonomous driving, satellites, and big data. In Korea, the number of commercialization cases of facility agriculture among smart agriculture is increasing. However, research and investment are being biased in the field of facility agriculture. The gap between research and investment in facility agriculture and open-air agriculture continues to increase. The fields of fruit trees and plant factories have low research and investment. There is a problem that the big data collection and utilization system is insufficient. In this paper, we are proposed the system for determining the fruit tree growth stage using a deep learning-based object detection model. The system was proposed as a hybrid app for use in agricultural sites. In addition, we are implemented an object detection function for the fruit tree growth stage determine.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.55-61
• /
• 2015

Today, IT technology provide convenience to many people. Smartphone era is opened, and market environment is changing rapidly. Pornography market is active by using smartphone use free internet. Many people access mobile harmful site of USA and Japan. App store of the apple has been cut off the porn service, but access block to mobile Web page is an impossible situation. In this paper, we proposed the harmful image detection method of using skin and non skin features to detect harmful image. Our proposed method can provide enough performance than previous method.

• Journal of Information Processing Systems
• /
• v.13 no.3
• /
• pp.559-572
• /
• 2017

Cyberbullying has been an emerging issue in recent years where research has revealed that users generally spend an increasing amount of time in social networks and forums to keep connected with each other. However, issue arises when cyberbullies are able to reach their victims through these social media platforms. There are different types of cyberbullying and like traditional bullying; it causes victims to feel overly selfconscious, increases their tendency to self-harm and generally affects their mental state negatively. Such situations occur due to security issues such as user anonymity and the lack of content restrictions in some social networks or web forums. In this paper, we highlight the existing solutions, which are Intrusion Prevention System and Intrusion Detection System from a number of researchers. However, even with such solutions, cyberbullying acts still occurs at an alarming rate. As such, we proposed an alternative solution that aims to prevent cyberbullying activities at a younger age, e.g., young children. The application would provide an alternative method to preventing cyberbullying activities among the younger generations in the future.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.25 no.5
• /
• pp.1067-1075
• /
• 2015

With the recent increase of the number of mobile game users, the side effects such as the manipulation of game points, levels and game speed and payment fraud are emerging. Especially, the emulators which make it possible for mobile applications to run on PC is a great threat to mobile game security since debugging specific game application or automating the game playing can be done easier with them. Therefore, we research the efficient ways to detect widely used Android Emulators such as BlueStacks, GenyMotion, Andy, YouWave and ARC Welder from the perspective of client(app), game server and network to reduce threat to mobile game security.

• Journal of Korean Society on Water Environment
• /
• v.22 no.6
• /
• pp.1052-1059
• /
• 2006

For monitoring the fecal pollution at Nak-Dong River, one of the eutrophicated rivers, the differences between total coliforms (TC) and fecal coliforms (FC) using both of membrane filtration (MF)/MPN method, and also fecal streptococcus (FS) by MF-method was investigated. To evaluate the correlation between TC, FC, and FS statistical analyses were performed by using Minitab. And a part of the presumptive TC/FC and background colonies was purified and identified using API 20E kit (Biomeriux). As results, most (89%) of presumptive FC by MF was identified as Escherichia coli while only 14% (MPN) and 11% (MF) of TC were identified as E. coli. Furthermore, FC by MF was correlated significantly with other fecal indicators (TC/FS by MF and FC by MPN), while TC by MPN was not correlated with any other indicators. Thus, the detection of FC by MF-method may be the most reasonable for monitoring the fecal pollution.

• Parasites, Hosts and Diseases
• /
• v.34 no.4
• /
• pp.239-246
• /
• 1996

The usefulness of malaria diagnosis by Plusmodium JaLcipawn-GDH (NADP+), obtained by affinity chromatography. is demonstrated in ELISA assays, testing IgG antibodies against GDH (NADP+) from patients with acute malaria, who have had two or more episodes of malaria. or from sera of hyperimmune patients. GDH (NADP+) thermal stability was demonstrated in a high heat resistance assay. The immunofluorescence assay demonstrated that anti-culture (P. falciporum) supernatant serum and anti-GDH (NADP+) of Proton app. recognized epitopes in Venezuelan isolates and Colombian and Brazilian malarial strains. The antigen is soluble, with high specificity is a potent imnlunogen and is thermoresistant. Key words: antigenic enzymes. glutamate dehydrogenase, malaria diagnosis, Plasmodium berghei, Plcswlodium ccthemelum, PlusmoniumJnlcipnmm, Plosmonium uiuox. soluble antigens.

• Journal of rehabilitation welfare engineering & assistive technology
• /
• v.9 no.3
• /
• pp.245-250
• /
• 2015

Portable devices, such as smart phones and personal digital assistants (PDAs) play an important role in our everyday life. In this paper, we propose a step count algorithm based on SVM(signal vector magnitude) and a adaptive threshold processing to monitor the physical activity. The algorithm measures a user's step counts using the smart phone's inbuilt accelerometer and g sensor. Experiment results showed the proposed algorithm has good performance in accuracy and adaptability than the app on your smart phone.

• Proceedings of the KIPE Conference
• /
• 2018.07a
• /
• pp.270-272
• /
• 2018

This paper proposes an open-phase fault control system using 3-phase neutral voltage. The proposed control system is designed as a new topology which uses the potential difference between neutral point and ground(G) of three phase. And the open-phase detection system is configured to three resistance devices(Y-wiring) of the same capacity to each line of three phase power source R,S,T. This paper also designs a mobile phone application for remote alarm of open-phase fault.