Home Automation and power saving Research Papers (original) (raw)

The fast development in computer and various mobile devices have bought changes to our living environment. Pressing a button to open the door of flat when we are in office is no longer purely imagination in cartoons or films. More importantly, home automation as such provides us an alternative solution to reduce the usage of energy, save costs and conven-ience. This paper reviews the advantages of home automation smart home in Hong Kong and Australia from industry perspective with the help of content analysis.

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- Computer Science, Information Technology, Education, Web 2.0

While the semiconductor roadmap is about to locate in 16nm-FinFET (or Tri-Gate) era, power budget is
being entitled major concern to contemporary electronics and future nanometer devices. In this work, a
new Power Distribution Network (PDN), referred to as HiPDN, is disclosed for further fine-grain power
saving and higher power integrity for supplies in multi-voltage domains. The proposed PDN employs two
types of Integrated Voltage Regulators (IVR) with large difference in voltage regulation range. By
combining the proposed PDN with the Adaptive Voltage Scaling (AVS) technique, voltage guard-bands can
be mitigated to lower the safety margin for voltage variation, i.e., reducing DC set points, thereby
effectively decreasing the overhead of power dissipation. In comparison to existing PDNs, theoretical
results with a simple equivalent circuit model demonstrate an increase of power saving achieved by
HiPDN, thus, allowing longer battery life. Finally, this work provides an on-chip power delivery
methodology to improve power efficiency and a simple model to evaluate a PDN and its IVRs.

This paper presents a GSM based electronic appliances monitoring and controlling system. This enables individuals to connect their home or office electronic appliances to the developed system which in turn enables them to remotely monitor and control these appliances though a Short Message Service (SMS). In remotely controlling the connected electronic appliances, users can determine the status of the electronic appliances remotely and decide whether to either switch any of the connected electronic appliances on or off. The uniqueness of the approach introduced is further revealed in the way the GSM module of the developed system was integrated with the PIC16F877Amicrocontroller to give a single and more compact system. Also, the SMS format used in monitoring and controlling the connected electronic appliances allows users to control their electronic appliances from anywhere provided there is a GSM network; hence, distance was not a barrier. The SMS format used is not lengthy and is simple to understand which makes it attractive to its users. The performance of the developed system was evaluated by connecting twelve (12) electronic appliances with it and the developed system shows the capability to remotely monitor and control them.

- by AKANDE NOAH
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- Home Automation and power saving

Modern Smart Environments (SmE) are equipped with a multitude of devices and sensors aimed at intelligent services. The
variety of devices has raised a major problem of managing SmE. An increasingly adopted solution to the problem is the modeling
of goals and intentions, and then using artificial intelligence to control the respective SmE accordingly. Generally, the solution
advocates that the goals can be achieved by controlling the evolution of the states of the devices. In order to automatically reach
a particular state, a sophisticated solution is required through which the respective commands, notifications and their correct
sequence can be discovered and enforced on the real devices.
In this paper, a comprehensive methodology is proposed by considering a) the composite nature of the state of an individual
device; b) the possible variation of specific commands, notifications and their sequence based on the current states of the devices.
The methodology works at two levels: design-time and runtime. At design-time, it constructs the extended data and control flow
behavioral graphs of the devices by using the concepts of a model checking approach. Then, at runtime, it uses these graphs for
finding the reliable evolution through which the desired goal can be fulfilled. The proposed methodology is implemented over
the Domotic Effects framework and a home automation system, i.e. Domotic OSGi Gateway (Dog). The implementation and
experimentation details indicate the effectiveness of the proposed approach.