Abstract—Heart attack is one of the main causes of death nowadays especially for elderly people since it can strike anytime and anywhere. This project aims to build a smart assistant system that can predict the possibility of heart attack occurrence depending on the heartbeat rate before it happens for an elderly person wherever he/she is, and send a message to an elderly’s relative or a specialist informing him/her that the elderly might have a possible heart attack along with the geometric location in order to try to save the elderly’s life on time. In our system, a pulse sensor was attached to an Arduino microcontroller with ESP8266 NodeMCU as a Wi-Fi module to measure the heartbeat rate (BPM), if the heartbeat is either too low or too high, a message will be sent to a specified mobile, warning its owner of a possible heart attack. When the message arrives to the specified mobile, the owner will open an Android application named EPLSA. Through this application, he/she can send a request to the microcontroller asking for the geometric location. The microcontroller replies with the values of the latitude and longitude of the elderly’s location which can be viewed on Google maps too.
Keywords-Heart attack; Heartbeat rate; Beats per Minuit; BPM; Pulse sensor; NodeMCU; ESP8266; Arduino; IoT; Arduino-IDE.
Citation: Rufaida M. Shamroukh, Nawal A. Zabin, Muhammed A. Mesleh, “Elderly People’s Life Saving Assistant (EPLSA) using IoT”, The World of Computer Science and Information Technology Journal (WSCIT). 2018 Volume 8, Issue 3, pp.18.23.
Yoshihiro Sato, Yue Bao, Yutaro Koya Graduate School of Engineering,Tokyo City University, Tokyo, Japan.
Abstract— For the maintenance of concrete structures, cracks are an important indicator to determine the repair priorities. Until a few years ago, it was visually inspected by workers. Recently, the crack detection methods by using image analysis have been proposed. But, the methods are difficult to detect the cracks on the concrete surface with unevenness and stains. In this paper, we propose a crack detection method using V-shaped Features and propose a V-shaped detector for detecting V-shaped Features. The V-shaped detector is possible to detect cracks with a high degree of accuracy. It is possible to perform noise processing using the shape and size of the crack detected by V-shaped Features. Several experiments were carried out using this proposal method. As the results of the experiments, it was confirmed that cracks of 0.2 mm or less can be detected.
Keywords- component; crack detection; image processing; remote detection; breakage inspection; V-shaped features.
Citation: Yoshihiro Sato, Yue Bao, Yutaro Koya, “Crack Detection on Concrete Surfaces Using V-shaped Features”, The World of Computer Science and Information Technology Journal (WSCIT). 2018 Volume 8, Issue 1, pp.1.6.
Mohammed Al Masarweh, Waleed Afndy
Management Information System Department, College of Business in Rabigh, King Abdulaziz University, Saudi Arabia.
Abstract— Smartphones are now an integral part of people’s daily life activities due to their advanced features. While this ostensibly offers great convenience, it also entails great psychological challenges due to the constant ubiquity of information to which users are exposed, particularly with regard to work environments. Smartphones and anytime, anywhere connectivity have caused the sphere of work to spill over into the realm of private life, and vice-versa. This study explores the impact of using smartphones in the work environment, primarily focusing on Saudi organizations as a case study representative of developing countries with high smartphone penetration. Open-ended interviews were conducted with 54 managers from different organizations in Saudi Arabia. Analysis of the results revealed that performance and regulations were the main factors that affected the use of smartphone in work environments, which is helping to gain a better understanding of current challenges facing many organizations.
Keywords- Management Information Systems; Smartphones; Management; Information Technology; Employee Performance.
Citation: Mohammed Al Masarweh, Waleed Afndy, “The Impacts Factors of Using The Smartphone at Work Environments in Developing Countries: The Case of Saudi Arabia”, The World of Computer Science and Information Technology Journal (WSCIT). 2018 Volume 8, Issue 2, pp.7.17.