Google Android operated Smart Home -operating electrical appliances in home through Android mobile phones

The project aims in designing a system which makes operating of electrical appliances in home through Android mobile phone possible. The controlling of electrical appliances is done wirelessly through Android smart phone using the Bluetooth feature present in it. Here in this project the Android smart phone is used as a remote control for operating the electrical appliances. Android is a software stack for mobile devices that includes an operating system, middleware and key applications. Android boasts a healthy array of connectivity options, including Wi-Fi, Bluetooth, and wireless data over a cellular connection (for example, GPRS, EDGE (Enhanced Data rates for GSM Evolution), and 3G). Android provides access to a wide range of useful libraries and tools that can be used to build rich applications. In addition, Android includes a full set of tools that have been built from the ground up alongside the platform providing developers with high productivity and deep insight into their applications. Bluetooth is an open standard specification for a radio frequency (RF)-based, short-range connectivity technology that promises to change the face of computing and wireless communication. It is designed to be an inexpensive, wireless networking system for all classes of portable devices, such as laptops, PDAs (personal digital assistants), and mobile phones. It also will enable wireless connections for desktop computers, making connections between monitors, printers, keyboards, and the CPU cable-free. The controlling device of the whole system is a Microcontroller. Bluetooth module, 4-Relays board and LCD display are interfaced to the Microcontroller. The data received by the Bluetooth module from Android smart phone is fed as input to the controller. The controller acts accordingly on the Relays to switch connected electrical appliances. Also, the status of the electrical appliances can be seen on LCD display. In achieving the task the controller is loaded with a program written using Embedded ‘C’ language. The main objectives of the project are: 1. Controlling of AC devices wirelessly through mobile phone. 2. Usage of Android touchscreen smart phone in performing the task. 3. Bluetooth wireless transmission. 4. Display of electrical appliances status on graphical display. The project provides exposure to following technologies: 1. Google’s Android Open Source Technology. 2. Bluetooth wireless technology. 3. Interfacing Bluetooth module to Microcontroller. 4. Electromagnetic Relay switching principles. 5. Interfacing of 4-Relay board to Microcontroller. 6. Embedded C programming. 7. PCB designing. The major building blocks of the project are: 1. Regulated Power Supply. 2. Microcontroller. 3. Android smart phone. 4. Bluetooth module. 5. 4-Relay board with driver. 6. LCD display with driver. 7. Crystal oscillator. 8. Reset. 9. LED indicators. Software’s used: 1. PIC-C compiler for Embedded C programming. 2. PIC kit 2 programmer for dumping code into Micro controller. 3. Express SCH for Circuit design. 4. Proteus for hardware simulation.

Communities and Emerging Semantics in Semantic Link Network SLN:Discovery and Learning

The World Wide Web provides plentiful contents for Web-based learning, but its hyperlink-based architecture connects Web resources for browsing freely rather than for effective learning. To support effective learning, an e-learning system should be able to discover and make use of the semantic communities and the emerging semantic relations in a dynamic complex network of learning resources. Previous graph-based community discovery approaches are limited in ability to discover semantic communities. This paper first suggests the semantic link network (SLN), a loosely coupled semantic data model that can semantically link resources and derive out implicit semantic links according to a set of relational reasoning rules. By studying the intrinsic relationship between semantic communities and the semantic space of SLN, approaches to discovering reasoning-constraint, rule-constraint, and classification-constraint semantic communities are proposed. Further, the approaches, principles, and strategies for discovering emerging semantics in dynamic SLNs are studied. The basic laws of the semantic link network motion are revealed for the first time. An e-learning environment incorporating the proposed approaches, principles, and strategies to support effective discovery and learning is suggested.E87GJCRMD7M2