Design of a framework for the aggregator using demand reduction bid (DRB)

Demand side management (DSM) in smart grid paradigm is an energy management strategy of the grid using advanced data communication and networking. The aggregator, a third party entity, is appearing as a key player in managing the demand during the peak hours between the utility and the consumer. In this work, a general framework is discussed and focuses on the interactional issues between the utility, the aggregator and the consumers. The paper also discusses the role of communication in the context of interaction among the three players. In addition, it also presents the model of the framework which can enable the consumer to effectively participate in the DSM. The proposed model considers the direct load control (DLC) program which uses the concept of demand reduction bid (DRB) in aggregated demand response

Forward-backward and isospin asymmetry for B -> K* l+ l- decay in the standard model and in supersymmetry

We discuss two dedicated observables in exclusive B -> K* l+ l- decay that can be used to study effects of physics beyond the standard model, namely the forward-backward asymmetry in the lepton spectrum and the isospin-asymmetry between decays of charged and neutral B mesons. We consider the region of large recoil-energy (i.e. small invariant mass of the lepton pair), and employ the QCD factorization approach to exclusive B meson decays. Sub-leading effects in the heavy quark mass expansion have been taken into account for the calculation of the isospin-asymmetry. We give predictions for decay asymmetries in the standard model, and its supersymmetric extension with minimal flavor violation, using parameter values allowed by current experimental constraints on B->X_s gamma decay.Comment: 21 pages, LaTeX with 6 figures, added reference

The conception of the aggregator in demand side management for domestic consumers

In the demand side management (DSM) the aggregator is appearing as a key player in managing the demand during the peak hours by acting as an energy manager between the utility and the consumer. In this work, an emerging concept of the energy service provider as a business entity for domestic consumers is discussed and focuses on the interactional issues between the utility, the aggregator and the consumers. The paper also discusses the role of communication in the interaction among the three players

Technique for early reliability prediction of software components using behaviour models

Behaviour models are the most commonly used input for predicting the reliability of a software system at the early design stage. A component behaviour model reveals the structure and behaviour of the component during the execution of system-level functionalities. There are various challenges related to component reliability prediction at the early design stage based on behaviour models. For example, most of the current reliability techniques do not provide fine-grained sequential behaviour models of individual components and fail to consider the loop entry and exit points in the reliability computation. Moreover, some of the current techniques do not tackle the problem of operational data unavailability and the lack of analysis results that can be valuable for software architects at the early design stage. This paper proposes a reliability prediction technique that, pragmatically, synthesizes system behaviour in the form of a state machine, given a set of scenarios and corresponding constraints as input. The state machine is utilized as a base for generating the component-relevant operational data. The state machine is also used as a source for identifying the nodes and edges of a component probabilistic dependency graph (CPDG). Based on the CPDG, a stack-based algorithm is used to compute the reliability. The proposed technique is evaluated by a comparison with existing techniques and the application of sensitivity analysis to a robotic wheelchair system as a case study. The results indicate that the proposed technique is more relevant at the early design stage compared to existing works, and can provide a more realistic and meaningful prediction

Evaluation of the genetic structure of the urban dwelling species of Bank Myna (Acridotheres ginginisnus) using random amplified polymorphic DNA (RAPD) analysis

We used the random amplified polymorphic DNA (RAPD) technique to decipher the genetic structure of the Bank Myna (Acridotheres ginginisnus) in Pakistan. The samples were collected from four cities namely: Dera Ghazi Khan, Jahanian, Khanewal and Gujranwala. The analysis showed a high genetic diversity at species level (H = 0.318, S = 0.467) but low levels at population levels (H = 0.047, S = 0.069 to H = 0.195, S = 0.283). The four populations analyzed were genetically distant from each other and hinted the effect of urbanization role in isolating the urban dwelling species. The genetic distances between populations ranged from D = 0.2403 to D = 0.3419 and the similarity coefficient showed low range from 0.66 to 0.70. This study will help in future conservation plans and also help the understanding of the role of urbanization on fragmentation of species’ natural distribution and dispersal mechanism.Key words: Acridotheres ginginisnus, Bank Myna, random amplified polymorphic DNA (RAPD), genetic structure

Population genetic structure of Rufous-Vented Prinia (Prinia burnesii) in Pakistan

The objective of the study is to ascertain genetic variation within Rufous-vented Prinia, Prinia burnesii an endemic species, by DNA fingerprinting applying random amplified polymorphic DNA (RAPD) technique. Genetic material was obtained from three distant sites along western bank of River Indus. These sites include Chashma barrage (32°50’N, 71°20’E), in the north; Taunsa barrage (30°45’N, 70°45’E) and the southern population from Guddu barrage (28°26’N, 69°44’E). In total, 14 RAPD primers were selected to determine the genetic variability between three populations of the species. The Nei’s (1973) genetic diversity in three populations ranged from 0.190 to 0.320. The genetic distance between Populations ranged from 0.149 to 0.265. The polymorphism levels ranged from 48 to 83% in three populations and at species level, polymorphism were 93.07%. The results further indicate that they are genetically isolated populations.Keywords: Random Amplified Polymorphic DNA, Prinia, genetic variation, river Indu