This paper presents a novel concept of "smart distribution system expansion planning (SDEP)" which expands the concept of demand response programs to be dealt with the long term horizon time. The proposed framework, integrates demand response resources (DRRs) as virtual distributed generation (VDG) resources into the distribution expansion planning. The main aim of this paper is to develop and ...

Our work presents the most recent developments in instrumental and DSP melodic reproduction of Byzantine music. This specific musical system is a Delta musical structure with a “thinner” microtonal scale partition of the well-known European scale and therefore new notes are involved. Apart from the tonality distribution, in Byzantine music Delta notation, transitional patterns appear stating qu...

The design of an experimental flexible energy measurement system consisting of a DSP, sensor and communication units is treated. This system is intended to be used in modern electricity distribution networks, characterized by multiple suppliers in a deregulated market, bi-directional energy flows due to distributed generation and a diversified demand for the quality of electricity delivery. Var...

Distribution system planning is extremely important for the end consumers of electricity; it is indeed become necessity to explore the area of real term planning of distribution system. The practical planning of distribution system incorporates the selection of optimal conductor size selection and capacitor placement in radial distribution network in distribution system. The load flow needs to ...

To meet increasing performance requirements of DSP applications, application specific processor designs, e.g. function unit (FU) duplication and register file (RF) distribution, are widely used in the design of DSP processors. In this paper, an application specific approach is proposed for the design of interconnection network in such DSP processors. By extracting the scheduling information of ...

Disassembly Sequence Planning (DSP) is a challenging NP-hard combinatorial optimization problem. As a new and promising population-based evolutional algorithm, the Teaching–Learning-Based Optimization (TLBO) algorithm has been successfully applied to various research problems. However, TLBO is not capable or effective in DSP optimization problems with discrete solution spaces and complex disass...

STUDY OBJECTIVES Daily amounts of sleep and wakefulness are accumulated in discrete bouts that exhibit distinct statistical properties. In adult mammals, sleep bout durations follow an exponential distribution whereas wake bout durations follow a power-law distribution. In infant Norway rats, however, wake bouts initially follow an exponential distribution and only transition to a power-law dis...