Innovative products and reduced time-to-market are essential for competitiveness in the modern market. Consequently, it is very important for industry to apply new information technologies and training tools to support product development, production planning, and other product processes. Virtual reality is one of these enabling technologies. This investigation proposes a novel approach to enhance CAD training and design in a webbased environment such as a Web browser or VR browser. Previous investigations successfully developed a CAD curriculum analysis and design, and also proposed the use of virtual reality modeling to improve training techniques. For this reason, this study designs a simple interactive web-based training tool for CAD in a virtual environment, along with an integrated graphics real-time system. Using OpenGL, the proposed system can run on different operating systems, such as Windows 2000, Windows 98, Windows 95, Windows NT, Linux and Macintosh. Owing to the increasing need for design and training CAD in network environments, drawing real-time complex curves and surfaces in a network browser is an emerging technological trend. ß

This This paper proposed method is to use a Smart phone in the real - time situation to carry out monitoring and controlling factory zone temperature, humidity, air quality, flame detection, staff not near the danger zone detection and electrical load analysis. The monitoring range also includes operating machine vibration detection in the factory area, so these methods are innovative research. Our research proposes the integration of ZigBee and Wi-Fi protocol intelligent monitoring system within the framework of the entire plant. The factory sensor using the ZigBee protocol to deliver the message, and real-time sensing data is sent to our integrated embedded systems. Our paper presents an integrated embedded systems using the open-source Arduino DUE module, which is a 32-bit ARM core. Our study proposed a way that writes the network code to ARM chipset become integrated controller. The intelligent integrated controller will instantly analytical processing by the ZigBee sensor pass to the message. Simultaneously this study using Android APP and web-based methods to show the measurement results. The web-based and Android APP approaches will transfer these results to specify the cloud device by way of the TCP / IP protocol. Finally, this paper utilizes FFT (Fast Fourier Transform) approach to analysis of power loads in the factory zones. Simultaneously this study also uses NFC (Near Field Communication) technology to carry out the actual measurement of the total electricity load experiments by smart phones.

This paper proposed method is to use a Smart phone in the real - time situation to carry out monitoring and controlling factory zone temperature, humidity, carbon dioxide concentration, the flame sensor. The size of the operation of the machine vibration frequency, butalso through smart phones to monitor and control, these methods are innovative research. Our research proposes the integration of ZigBee and Wi-Fi protocol intelligent monitoring system within the framework of the entire plant. The factory sensor using the ZigBee protocol to deliver the message, and real-time sensing data is sent to our integrated embedded systems. Our paper presents an integrated embedded systems using the open-source Arduino DUE module, which is a 32-bit ARM core. Our study proposed a way that writes the network code to ARM chipset become integrated controller. The intelligent integrated controller will instantly analytical processing by the ZigBee sensor pass to the message. Simultaneously using Web-Based method to show the measurement results. The Web-Based approach will transfer these results to specify the cloud device by way of the TCP / IP protocol. These cloud devices include all smartphone and Tablet PC, our system can support a variety of OS platforms, without any restrictions and compatibility issues, and this is our intelligent monitoringsystem innovation.

Remote medical care system is a challenge to overcome time and space. In this study, the key is to how to correct the measurement signal is sent to a remote medical center, to allow doctors to carry out an initial diagnosis, and track the history of the disease. The proposed remote system is built on the integration of ecological multiple network protocols. These integrated network protocols, including TCP / IP, ZigBee, of RFID, and Bluetooth signals. This thesis is to use the Arduino hardware in the Mega 2560 as the integrated controller. Through the program drive the TX and RX coding, this study proposes a very efficient way to complete a multi-protocol integration of intelligent control. Finally, the simulation of remote medical devices to measure a patient's physical condition, including ECG, blood oxygen concentration, blood pressure and respiratory rate, and through Wi-Fi network traffic control, do the use of an integrated, intelligent home appliances and ZigBee.