Mohamed Rawidean Mohd Kassim has worked for 29 years in MIMOS (Malaysian Institute of Microelectronic Systems), the Ministry of Science, Technology and Innovation Malaysia. MIMOS is the government applied and industrial R&D arm in IT and microelectronics. He joined MIMOS as a Research Fellow and now is the R&D Manager in the Technology Deployment department. His research interest area are Wireless Sensor Network (WSN), Internet of Things (IoT), Real-Time Systems and Multimedia. He has participated in more than 30 national and international R&D projects as a team member, or leader on technical and management positions.
Mohamed Rawidean is an IEEE Senior Member. He was the IEEE Computer Society Malaysia Chapter Chair from 2002 to 2013. As a lecturer, he has given computer science courses for undergraduate and graduate students. He has written conference papers, one book chapter (‘Sensors for Everyday Life’, Springer Pub., 2017) and technical reports. He is also a member of the Industry Advisory Panel (IAP) for Monash University Malaysia and Universiti Kuala Lumpur (UniKL).
Mohamed Rawidean has organized IEEE national and international conferences, seminars and workshops. He is the Founding Chairman for IEEE Conference on Open Systems (ICOS), Program Chair and Technical Program Chair for several IEEE conferences. He has provided many keynotes, invited industrial talks and workshops in WSN, Intelligent Real-Time Systems and IoT. He has eight patents registered under his name, mostly in wireless sensors, networks and sensor applications. He received his B.Sc. (Hons) degree in the Computer Sciences (1987) from National University of Malaysia, and his M.Sc. in Interacting Systems Design (1993) from Loughborough University of Technology, United Kingdom. He obtained his Six Sigma Black Belt in 2009 from Motorola University.
Malaysian Institute of Microelectronic Systems (MIMOS)
Ministry of Science, Technology and Innovation Malaysia
DVP term expires December 2020
Wireless Sensor Network in Precision Agriculture Application
The Wireless Sensors Network (WSN) is nowadays widely used to build decision support systems to overcome many problems in the real world. One of the most interesting fields having an increasing need for decision support systems is precision agriculture (PA). This project presents WSN as the best way to solve the agricultural problems related to farming resources optimization, decision-making support, and land monitoring. This approach provides real-time information about the lands and crops that will help farmers make the right decisions. Using the basic principles of Internet and WSN technology, precision agriculture systems based on the Internet-of-Things (IoT) technology is explained in detail, especially on the hardware architecture, network architecture and software process control of the precision irrigation system. The software monitors data from the sensors in a feedback loop, which activates the control devices based on threshold value. Implementation of WSN in PA will optimize the usage of water fertilizer and maximize the yield of the crops.
Applications of WSN in Agricultural Environment Monitoring Systems
Wireless Sensor Networks (WSN), Cloud computing, Big Data and their convergence with the Internet of Things (IoT) offer vast opportunities to build decision support systems to solve many real-world problems. One of the most interesting fields having an increasing need for decision support systems is agricultural environment applications.
Agricultural environment monitoring has become an important field of control, providing real-time system and control communication with the physical world. An intelligent and smart WSN system can collect and process large amounts of data from the beginning of the monitoring and manage air quality, soil conditions, to weather situations. The proposed system collects and monitors information related to the growth environment of crops outside and inside greenhouses, using WSN sensors and CCTV cameras. The temperature and humidity sensors are developed in-house, and both sensors are very reliable. Furthermore, the system allows automatic control of the greenhouse environment remotely and thus improves the productivity of crops.
A 7-Level Smart Home System for the XY Generation
p> In the past few years, the digital revolution has dramatically increased the function and reduced the cost of consumer devices. This has led to an explosion of new smart devices in the home and office, from digital LED TVs and game systems to environmental controls, smart appliances, and safety and monitoring devices, along with lifestyle, wellness and medical devices. Today, you can easily control your home’s mechanical systems and appliances over your cellular phone or Internet, and the lighting in your home can be set to save your money when you leave the room. The Internet of Things provides even more incredible access to information and services.
A 7-Level Model of Smart Home Systems is proposed in this paper. The benefits and advantages of a smart home for various categories of users will be discussed, particularly for XY Generation in this model. A detailed description of each level with examples is given, based on the author’s 20 years of knowledge and experience in the design, development and installation of smart-home systems. This model can be further customized and developed for the implementation of an intelligent township or smart city.
- Wireless Sensor Network in Precision Agriculture Application
- Applications of WSN in Agricultural Environment Monitoring Systems
- A 7-Level Smart Home System for the XY Generation