It is very important for us to rescue from fatal accidents caused by fire. Recently in Bangladesh more than two hundred garment workers have deceased at Tajrin Fashion Industry. In this work we have performed the edge detection for Robot on the eve of edge identification to save the worker while they will be locked at emergency situations where human interaction will be failed. We have trained the system such a way that a Robot can easily learn the situations. We have used Automated Brained Learning (ABL) for Robot to detect the objects. Our work ensures only the edge detection. Sobel operator and masking is used in this process. To accomplish the work RGB color model and other color model such as YMC color model is analyzed to ensure the better result. We have noticed that RGB color model is better for our ABL process. Besides, YMC color model also generate good result while the fire is over smoked.

In this paper, we investigate a comprehensive study on a simulated cooperative wireless communication system with implementation of code division multiple access (CDMA) technique under Decode-and-Forward (DAF) and Amplify-and- Forward (AAF) relaying protocols. The system under investigation incorporates two digital modulations (BPSK and QPSK) with five major types of signal combining schemes as Equal Ratio Combining (ERC), Fixed Ratio Combining (FRC), Signal-to-Noise Ratio Combining (SNRC), Maximum Ratio Combining (MRC) and Enhanced Signal-to-Noise Combining (ESNRC). Results of BER simulation in AWGN and Raleigh fading channels show that the system provides better performance in AAF relaying protocol as compared to DAF whatever the signal combining scheme is used. In DAF relaying protocol, the system shows most satisfactory performance in SNRC and QPSK digital modulation in comparison with worst case in ERC. In AAF relaying protocol, a much better system performance is achieved in FRC and QPSK digital modulation as finding worst performance in ERC. Information about the average quality shows performance benefits, and a rough approximation about the variation of the channel quality increases the performance even more. The best system performance is achieved when the relay is at equal distance from the sender and the destination or slightly closer to the former.

Producing and consuming electricity are strongly related to macro –economic such as growth, employment and price. However, this relationship in many circumstances, places, times are not in a direction. The relationship of processing electricity and the economy depends on the structure between production and consumption, the cost of structure of sectors in the economy, the use of electricity by the producer, the consumer and internal structure of electricity industry of each country in each time.

In the past few year’s privacy over websites have received significant amount of attention all around the world. Privacy policy in websites describes the collection of information and its use by the website. Users consult websites privacy policy to know what information is collected by the website and how this information can be used by the website. This paper is concerned with the implementation of privacy policy in the educational sector of Saudi Arabia. In the course this study, we looked at the privacy of all the educational sector websites in Saudi Arabia. The results of this study provide an insight about the application of privacy policy in Saudi Arabia. This study can help to inform governing bodies, Administration and IT managers of educational institutions about their application of privacy policy in Saudi Arabia.

Top-k queries are useful in retrieving top-k records from a given set of records depending on the value of a function F on their attributes. Many techniques have been proposed in database literature for answering top-k queries. These are mainly categorized into three: Sorted-list based, layer based and View based. In first category, records are sorted along each dimension and then assigned a rank to each of the records using parallel scanning method. Threshold Algorithm (TA) and Fagin’s Algorithm (FA) are the examples of sorted-list based category. Second category is layer based category, in which all the records are organized into layers such as in onion technique and robust indexing technique. Third category includes methods such as PREFER and LPTA (Linear Programming Adaptation of Threshold Algorithm) and processing is based on the materialized views.

In this paper, a tunable Multiband Micro strip Antenna is designed, capable of tuning its operating frequency in 5GHz band independently. Two slots of E & U shape are etched to achieve multiband resonance. Two capacitors of fixed value and a varactor diode are used to achieve tuning. Proposed antenna targets the 5GHz WLAN bands; UNII-1 and UNII-2. Simulated and measured results are in good agreement.

The aim of this research is to un-mask or to explore the facts which are hermetical in the Quaid’s Speech of 11 August, 1947. CDA does not have a specific direction of research. There are many directions of such type of research. It does not have a proper theoretical frame work. There are several approaches to discourse including critical discourse analysis; conversational analysis and similarly many other forms of analysis. This Research is based upon the Van Dajik’s socio cognitive model (2002).” Van Dijk: “in our opinion CDA should deal primarily with the discourse dimensions of power abuse and the injustice and inequality that result from it.”

A solar chimney power plant consists of a large greenhouse-type collector surrounding a tall chimney. The air, heated within the collector, passes through an inlet guide vane (IGV) cascade and then through a transition section to a turbine that powers a generator. The transition section contains the turbine inlet guide vanes that support the whole chimney and guides the flow entering the turbine. There is a surge in the use of the solar chimney power plant in the recent years which accomplishes the task of converting solar energy into kinetic energy. The existing models are sufficient to accurately describe the mechanism and evaluate the performance of a solar chimney power plant system, in which the effects of various parameters on the relative static pressure, driving force, power output and efficiency. This paper aims at the segregation of the different mathematical models presented by the various researches, which are developed to evaluate the performance of solar chimney power plant, which will help the budding researcher to develop their own model as well as to evaluate the performance of solar chimney power plant.

A solar chimney power plant consists of a large greenhouse-type collector surrounding a tall chimney. The air, heated within the collector, passes through an inlet guide vane (IGV) cascade and then through a transition section to a turbine that powers a generator. The transition section contains the turbine inlet guide vanes that support the whole chimney and guides the flow entering the turbine. There is a surge in the use of the solar chimney power plant in the recent years which accomplishes the task of converting solar energy into kinetic energy. The existing models are sufficient to accurately describe the mechanism and evaluate the performance of a solar chimney power plant system, in which the effects of various parameters on the relative static pressure, driving force, power output and efficiency. This paper aims at development of mathematical model for obtaining the temperature lapse rate that takes in the solar chimney.

Detection of change is the measure of the distinct data framework and thematic change information that can direct to more tangible insights into underlying process involving land cover and landuse changes. Monitoring the locations and distributions of land cover changes is important for establishing links between policy decisions, regulatory actions and subsequent landuse activities. Change detection is the process that helps in determining the changes associated with landuse and land cover properties with reference to geo-registered multi-temporal remote sensing information. It assists in identifying change between two or more dates that is uncharacterized of normal variation. After image to image registrations, the normalized difference vegetation index (NDVI), the transformed normalized differ-rence vegetation index (TNDVI), the enhanced vegetation index (EVI) and the soil-adjusted vegetation index (SAVI) values were derived from Landsat ETM+ dataset and an image differencing algorithm was applied to detect changes. This paper presents an application of the use of multi-temporal Landsat ETM+ images and multi-spectral MODIS (Terra) EVI/NDVI time-series vegetation phenology metrics for the District Sargodha. The results can be utilized as a temporal landuse change model for Punjab province of Pakistan to quantify the extent and nature of change and assist in future prediction studies. This will support environmental planning to develop sustainable landuse practices.