Specification of Energy Assessment Methodologies to Satisfy Energy Management Standard Harish KannegantiEnergy management has become more crucial for industrial sector as a way to lower their cost of production and in reducing their carbon footprint. Environmental regulations also force the industrial sector to increase the efficiency of their energy usage. Hence industrial sector started relying on energy management consultancies for improvements in energy efficiency. With the development of ISO 50001 standard, the entire energy management took a new dimension involving top level management and getting their commitment on energy efficiency. One of the key requirements of ISO 50001 is to demonstrate continual improvement in their (industry) energy efficiency. The major aim of this work is to develop an energy assessment methodology and reporting format to tailor the needs of ISO 50001. The developed methodology integrates the energy reduction aspect of an energy assessment with the requirements of sections 4.4.3 (Energy Review) to 4.4.6 (Objectives, Targets and Action Plans) in ISO 50001 and thus helping the facilities in easy implementation of ISO 50001.iii

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This is the second paper in a series of using cognitive radio network as wireless sensor network. The motivation of the paper is to push the convergence of radar and communication systems into a unified cognitive network. This paper studies this vision from a secure point of view. We propose two methods for robust spectrum sensing in the same framework of cognitive radio network. The first method is based on robust principal component analysis (PCA), to separate spectrum sensing results into the low rank signal matrix and the sparse attack matrix. Using sparse attack cancellation in least squares, the second method iteratively estimates the relative transmitted power of primary user under the threats of attackers. Then the relative transmitted power of primary user can be calculated from the recovered signal matrix. Both two methods can detect the sparse compromised cognitive radio nodes and effectively obtain the relative transmitted power.

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