The recent MPEG 4 and JPEG 2000 standards address the need for content based coding and manipulation of visual media. The upcoming MPEG 7 standard proposes content descriptors, which succinctly describe the visual content for the purpose of efficient retrieval. This implies that there is an impending need for efficient and effective joint compression and indexing approaches. Several compressed domain indexing techniques have been presented in the recent literature. These are based on the extraction of features from the compression parameters to derive the indices. However, there is little work in the domain of exploring the use of these features to serve the purposes of both compression and indexing. In this paper, we propose a new technique for joint compression and indexing in the wavelet domain. We note that wavelet based compression is used in JPEG 2000 and (for texture coding) in MPEG 4. In the proposed technique, the wavelet decomposed image is first preprocessed to extract features which are then used for compressing the image as well as for deriving the indices. Extensive simulations have been performed in the JPEG 2000 compressed domain to demonstrate the efficiency of the proposed technique.

In this paper, we propose a novel design for a lifting based system that achieves the optimal trade off between compression and classification performances. In addition, it can also achieve superior compression performance compared to existing wavelet kemels. The proposed system is based on bi-orthogonal filters and can operate in the JPEG2000 framework. Typically, in our proposed system the trade off point between compression and classification is automatically determined by the system. However, the user can also fine-tune the relative performance if required using two adjusters (one for compression and one for classification). Extensive simulations have been performed to demonstrate the efficiency of OUT system. Our simulation result shows that a 99% classification performance can be achieved at a comparable reconstruction quality whilst a superior compression performance over the JPEG2000 standard can be achieved at a classification rate of 70%.

Over the last decade perceptually based image compression has gained significant importance. This is because it relies on Human Visual Perception (HVP) in measuring the reconstruction quality in the compression process. as humans arc the end users for images. Visual data that is perceived by humans can he characterized in terms of three parameters, Magnitude, Phase and Orientation of the spatial frequency content. While existing perceptually based image compression techniques exploits the first parameter, the novel contribution of this paper is its focus on the use of phase data for perceptually based texture compression. In this paper a HVS based texture characterization approach is applied to measure the perceived (by humans) phase coherence in the image. Then images are more compressed after removing the unperceived phase redundancy. Finally subjective tests are performed to measure the reconstruction quality of the proposed compression approach. The proposed compression algorithm has been applied in the JPEG2000 framework. Simulation results that demonstrate the efficiency of the proposed approach are presented.

Design of energy-efficient wireless sensor networks (WSNs) has become an important area of scientific research. In this regard, modeling and minimizing of energy consumption are the main objectives for designing WSNs. In this paper, an energy consumption model for WSNs based on physical layer parameters is proposed by calculating the total energy that is required for successfully received one bit over Rayleigh fading channels. The proposed energy consumption model is validated with real measurements. Results show a good agreement between proposed model and experimental measurements with a mean absolute percentage error less than 5.5%. The validated model is used to optimize transmitted power to achieve minimum energy consumption. Finally, a closed-form expression for optimum transmitted power is derived for M-QAM modulation scheme

Design of energy-efficient wireless sensor networks (WSNs) has become an important area of scientific research. In this regard, modeling and minimizing of energy consumption are the main objectives for designing WSNs. In this paper, an energy consumption model for WSNs based on physical layer parameters is proposed by calculating the total energy that is required for successfully received one bit over Rayleigh fading channels. The proposed energy consumption model is validated with real measurements. Results show a good agreement between proposed model and experimental measurements with a mean absolute percentage error less than 5.5%. The validated model is used to optimize transmitted power to achieve minimum energy consumption. Finally, a closed-form expression for optimum transmitted power is derived for M-QAM modulation scheme

Design of energy-efficient wireless sensor networks (WSNs) has become an important area of scientific research. In this regard, modeling and minimizing of energy consumption are the main objectives for designing WSNs. In this paper, an energy consumption model for WSNs based on physical layer parameters is proposed by calculating the total energy that is required for successfully received one bit over Rayleigh fading channels. The proposed energy consumption model is validated with real measurements. Results show a good agreement between proposed model and experimental measurements with a mean absolute percentage error less than 5.5%. The validated model is used to optimize transmitted power to achieve minimum energy consumption. Finally, a closed-form expression for optimum transmitted power is derived for M-QAM modulation scheme

The energy performance in two administrative office buildings in Egypt is evaluated. One building is a traditional classic building while in the other building the designer consider energy efficiency and solar energy generated power contribution to the power required. The office buildings in this study has been designed with the compliance of the building regulation during their contraction time. The evaluation is done by ENERGY STAR. The main conclusions were that ENERGY STAR can be used to evaluate energy performance of office buildings in Egypt. Egyptian office buildings can compete the USA office buildings in applying energy efficiency strategies. In addition, energy efficient lighting and HVAC systems used in the new building save 19% and 64% of the energy used respectively and will save about 46% from the source energy used. In addition the GHG emissions / m2 in the new building is half that of the existing one.

The energy performance in two administrative office buildings in Egypt is evaluated. One building is a traditional classic building while in the other building the designer consider energy efficiency and solar energy generated power contribution to the power required. The office buildings in this study has been designed with the compliance of the building regulation during their contraction time. The evaluation is done by ENERGY STAR. The main conclusions were that ENERGY STAR can be used to evaluate energy performance of office buildings in Egypt. Egyptian office buildings can compete the USA office buildings in applying energy efficiency strategies. In addition, energy efficient lighting and HVAC systems used in the new building save 19% and 64% of the energy used respectively and will save about 46% from the source energy used. In addition the GHG emissions / m2 in the new building is half that of the existing one.

Abstract: Energy use in buildings is closely linked to their design (form, orientation and building materials), operational and space utilization characteristics and the behaviour of their occupants. Due to demand for sustainability, more passive buildings will be built in Egypt. This study evaluates the energy performance in a newly designed office building in Egypt. In this building, energy efficiency aspects were considered during the design. The evaluation is done using two different tools - Portfolio Manager (PM) and Target Finder (TF) - related to ENERGY STAR (ES) using the Energy Use Intensities (EUI). The only difference is that PM needs at least 12 consecutive months of metered utility bills to perform the evaluation calculations, while TF needs an estimated annual energy use for each type of energy consumed in the building. Energy consumption was determined by two ways: simulation and calculation. DesignBuilder (DB) has been used in the current study to simulate the building energy use for a whole year considering building design, building materials, optimization of thermal comfort, lighting, weather data and activity in the case study building. In addition, calculations for annual energy use were done using the data sheets with each energy consuming system utilized in the building based on operating hours of each. The ES scores for both simulation and calculation results were obtained. The main conclusions were that ES can be used to evaluate energy performance of office buildings in Egypt. Moreover, the results showed that the Egyptian office buildings can compete with the USA office buildings in applying energy efficiency strategies. Results of the optimizations showed significant reduction in terms of energy consumption. Finally, the simulation results showed the relative effect of the applied design, shading, orientation and the energy efficient lighting and HVAC systems on the annual energy consumption and ES score.

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