Earticle

SCADA stands for supervisory control and data acquisition- any application that gets data about a system in order to control that system is a SCADA. Some sensors detect conditions“on” or an “off”. That “on” or an “off” originate as an on/off, Such as a valve sensor or it can represent an analog value that crosses a threshold value. Other sensors measure more complex situations where exact measurement is required. So we have developed a system in which SCADA system may be able to gets the more alarm details than a single discrete alarm point can provide in real time.

The advancement of technologies has led people to a sedentary lifestyle with a lack of physical activity. Consequently, preventing lifestyle-related disease is now a social issue. In this article, we propose an augmented mirror to increase the awareness of daily walking. The augmented mirror is a two-way mirror that displays symbols representing the number of steps walked on a daily basis. The mirror is designed with four strategies to reflect daily walking: 1) pleasurable interaction with the system through daily walking, 2) avoiding negative feelings while providing negative feedback, 3) increasing self-reflection of each day's walking, and 4) facilitating encouragement among a group of participants. The results of an in-house experiment show that our proposed system has the potential to increase awareness of a person's daily walking. The positive effects of the four strategies were also found.

Building operators need to interpret the high volumes of noisy data generated from the environmental sensors in their buildings. In this paper we propose a software architecture which processes the building monitor data to provide enhanced decision support in the form of assessments and accurate summaries to building operators in order to improve the quality of building performance. Our architecture has been tested on over 8 days worth of continuous data and the results are very encouraging.

A smart home (sometimes referred to as a smart house or eHome) is one that has highly advanced automatic systems. A smart home appears "intelligent" because its computer systems can monitor many aspects of daily life. Our research, presented in this paper, is based on a universal implementation model for the smart home. The “Home Intelligence” (HI) module of the smart home, offers important added-value to the intelligent behavior of the smart-home environment. The HI creates an integrated environment in which the Artificial Intelligence (AI) mechanism can infer and suitably react according to changing conditions and events. By identifying abnormal or unexpected events and, when necessary alerting the home’s occupants, the AI module can provide an immediate automatic response if desired. Because of the complexity of the systems, their diverse areas of control and supervision, the variety of information technologies and learning mechanisms, and the reasoning capabilities used in updating the information system, developers, suppliers and users must cooperate. Cooperation will be expressed by agreeing to anonymously transfer information from the client to the developer through the suppliers. The transferred information will include characteristics of abnormal events, which have actually occurred in reality (true life scenarios), and the responses of the smart home. This information is then analyzed and used for AI learning and to improve the system’s reasoning mechanisms. Collecting information from a large number of clients will allow for faster learning and updating of the home intelligence system. A simulation system was developed in order to illustrate the HI module. The simulation illustrates the learning and the reasoning processes as well as demonstrates the smart home’s responses to abnormal events.

In mobile communications systems, data transmission at high bit rates is essential for many services such as video, high quality audio and mobile integrated service digital network. When the data is transmitted at high bit rates, over mobile radio channels, the channel impulse response can extend over many symbol periods, which leads to Inter-symbol interference (ISI). Orthogonal Frequency Division Multiplexing (OFDM) is one of the promising technology to mitigate the ISI. In an OFDM signal the bandwidth is divided into many narrow sub-channels which are transmitted in parallel. Each sub-channel is typically chosen narrow enough to eliminate the effect of delay spread. By combining OFDM with CDMA dispersive fading limitations of the cellular mobile radio environment can be overcome and the effects of co-channel interference can be reduced. In this paper, the performances of equalization techniques by considering 2 transmit 2 receive antenna case (resulting in a 2×2 MIMO channel). Assume that the channel is a flat fading Rayleigh multipath channel and the modulation is BPSK. The ultimate goal is to provide universal personal and multimedia communication without regard to mobility or location with high data rates. To achieve such an objective we need a strong equalization techniques to compensate ISI. ꠑ Zero Forcing (ZF) equalization ꠑ Minimum Mean Square Error (MMSE) equalization ꠑ Zero Forcing equalization with Successive Interference Cancellation (ZF-SIC) ꠑ ZF_SIC with optimal ordering and ꠑ MIMO with MMSE SIC and optimal ordering