ENTERPRISE SUBSYSTEMS INTERACTION UNDER PURPOSEFUL CONTROL OF PRODUCT QUALITY

The purpose of the paper is to study the interaction of social-economic, organizational and engineering subsystems of industrial enterprises during purposeful control of product quality. There is offered an interaction scheme of enterprise subsystems at product quality support. The simulation carried out allowed defining a difference between the values of managing impacts ensuring the reachability of the ends specified for a stationary state of enterprise activities and in the planned period of time for a time dependent of activities with the use of real data. To ensure actual reachability of the required values of the ends in the field of quality one requires to specify their increased values, in this connection there is introduced an idea of a gain factor. In the example considered for two values of product quality there is defined a field of values corresponding to gain factors showing a level of value increase of the ends required in the field of quality to ensure their actual reachability. With the use of fields revealed a possibility appeared to offer different variants of values of gain factors during managing solutions making. The directions for the further investigations connected with the analysis of operator structure to change values of enterprises subsystems in the course of the assurance of ends manageability in the field of quality are defined.

Quantum complementarity and operator structures

We establish operator structure identities for quantum channels and their error-correcting and private codes, emphasizing the complementarity relationship between the two perspectives. Relevant structures include correctable and private operator algebras, and operator spaces such as multiplicative domains and nullspaces of quantum channels and their complementary maps. For the case of privatizing to quantum states, we also derive dimension inequalities on the associated operator algebras that further quantify the trade-off between correction and privacy.

A Centralized Smart Decision-Making Hierarchical Interactive Architecture for Multiple Home Microgrids in Retail Electricity Market

The principal aim of this study is to devise a combined market operator and a distribution network operator structure for multiple home-microgrids (MH-MGs) connected to an upstream grid. Here, there are three distinct types of players with opposite intentions that can participate as a consumer and/or prosumer (as a buyer or seller) in the market. All players that are price makers can compete with each other to obtain much more possible profitability while consumers aim to minimize the market-clearing price. For modeling the interactions among partakers and implementing this comprehensive structure, a multi-objective function problem is solved by using a static, non-cooperative game theory. The propounded structure is a hierarchical bi-level controller, and its accomplishment in the optimal control of MH-MGs with distributed energy resources has been evaluated. The outcome of this algorithm provides the best and most suitable power allocation among different players in the market while satisfying each player’s goals. Furthermore, the amount of profit gained by each player is ascertained. Simulation results demonstrate 169% increase in the total payoff compared to the imperialist competition algorithm. This percentage proves the effectiveness, extensibility and flexibility of the presented approach in encouraging participants to join the market and boost their profits.

Search for time-reversal-invariance violation in double polarized antiproton-deuteron scattering

Apart from the pd reaction also the scattering of antiprotons with transversal polarization PPY on deuterons with tensor polarization Pxz provides a null-test signal for time-reversal-invariance violating but parity conserving effects. Assuming that the time-reversal-invariance violating N̅N interaction contains the same operator structure as the NN interaction, we discuss the energy dependence of the null-test signal in p̅d scattering on the basis of a calculation within the spin-dependent Glauber theory at beam energies of 50-300 MeV.

Intervention in tough-constructions revisited

In this paper, we subject to closer scrutiny one particularly influential recent argument in favour of the long-movement analysis of tough-constructions. Hartman (2011, 2012a, 2012b) discovered that experiencer PPs lead to ungrammaticality in tough-constructions, but not in expletive constructions. He attributes this ungrammaticality to defective intervention of A-movement, a movement step crucially postulated only in the long-movement analysis. He takes this as evidence that tough-constructions are derived via long movement. We make the novel observation that a PP intervention effect analogous to that in tough-constructions also arises in constructions that do not involve A-movement, namely pretty-predicate constructions and gapped degree phrases. Consequently, the intervention effect does not provide an argument for an A-movement step in tough-constructions or for the long-movement analysis, but rather for the base-generation analysis. We develop a uniform account of the intervention effects as a semantic-type mismatch. In particular, we propose that what unifies tough-constructions, pretty-predicate constructions, and gapped degree phrases is that they all have an embedded clause that is a null-operator structure. Introducing an experiencer PP into these constructions creates an irresolvable semantic-type mismatch. As such, we argue for a reassessment of what appears to be a syntactic locality constraint as an incompatibility in the semantic composition.

A New Array Multiplier Using an Optimized Carry Network and Dynamic CMOS Technology

In this paper, a new multiplier using array architecture and a fast carry network tree is presented which uses dynamic CMOS technology. Different reforms are performed in multiplier architecture. In the first step of multiplier operator, a novel radix-16 modified Booth encoder is presented which reduces the number of partial products efficiently. In this research, we present a new algorithm for partial product reduction in multiplication operations. The algorithm is based on the implementation of compressor elements by means of carry network. The structure of these compressors into reduction trees takes advantage of the modified Wallace tree for integration of adder cells and provides an alternative to conventional operator methods. We show several reduction techniques that illustrate the proposed method and describe carry-skip examples that combine dynamic CMOS with classic conventional compressors in order to modify each scheme. In network multiplier, a novel low power high-speed adder cell is presented which uses 14 transistors in its structure. Critical path is minimized to reduce latency in whole operator architecture. Final adder of multiplier uses an optimized carry hybrid adder. The presented final adder network uses dynamic CMOS technology. It sums two final operands in a very efficient way, which has significant effect in operator structure. Presented multiplier reduces latency by 12%, decreases transistor count by 8% and modifies noise problem in an efficient way in comparison with other structures.

Linear scaling Coulomb interaction in the multiwavelet basis, a parallel implementation

We present a parallel and linear scaling implementation of the calculation of the electrostatic potential arising from an arbitrary charge distribution. Our approach is making use of the multi-resolution basis of multiwavelets. The potential is obtained as the direct solution of the Poisson equation in its Green's function integral form. In the multiwavelet basis, the formally non local integral operator decays rapidly to negligible values away from the main diagonal, yielding an effectively banded structure where the bandwidth is only dictated by the requested accuracy. This sparse operator structure has been exploited to achieve linear scaling and parallel algorithms. Parallelization has been achieved both through the shared memory (OpenMP) and the message passing interface (MPI) paradigm. Our implementation has been tested by computing the electrostatic potential of the electronic density of long-chain alkanes and diamond fragments showing (sub)linear scaling with the system size and efficent parallelization.