Meta-Regulation Approach to CSR

Author(s):  
Mia Mahmudur Rahim
Keyword(s):  
Author(s):  
Zhizheng Wu ◽  
Foued Ben Amara

Motivated by a class of surface tracking problems in mechanical systems subject to contact vibrations, this paper considers a regulation problem for discrete-time switched bimodal linear systems where it is desired to achieve output regulation against exogenous input signals featuring known deterministic and unknown random components. A first step in the regulator design involves constructing a set of observer-based parameterized stabilizing controllers that satisfy a sufficient regulation condition for the switched system against the known deterministic disturbance or reference signals. In the second step, an additional performance constraint is added to identify, from among the already constructed regulators, those that provide the best regulation performance against the unknown random disturbances. A corresponding regulator synthesis algorithm is developed based on iteratively solving properly formulated bilinear matrix inequalities. The proposed regulator is successfully evaluated on an experimental setup involving a switched bimodal mechanical system subject to contact vibrations, hence demonstrating the effectiveness of the proposed regulation approach.


2016 ◽  
Vol 50 (1) ◽  
pp. 154-172 ◽  
Author(s):  
Thomas Lamarche ◽  
Catherine Bodet

We argue that corporate social responsibility depends on two distinct stylized facts concerning régulation and power. The first—institutional CSR—is institutional in nature, the other—strategic CSR—is economic and productive. The former permits and stabilizes the latter, which in turn gives rise to political compromises structuring institutional mechanisms. CSR strategies and institutions correspond to a private, oligopolistic régulation which shows no signs of being able to pursue a sustainable development regime. JEL classification: B52, D02, L15, M14, P17


2012 ◽  
Vol 11 (04) ◽  
pp. 857-874 ◽  
Author(s):  
JIE CAO ◽  
HONGKE LU ◽  
WEIWEI WANG ◽  
JIAN WANG

Five-category loan classification (FCLC) is an international financial regulation approach. Recently, the application and implementation of FCLC in the Chinese microfinance bank has mostly relied on subjective judgment, and it is difficult to control and lower loan risk. In view of this, this paper is dedicated to researching and solving this problem by constructing the FCLC model based on improved particle-swarm optimization (PSO) and the multiclass, least-square, support-vector machine (LS-SVM). First, LS-SVM is the extension of SVM, which is proposed to achieve multiclass classification. Then, improved PSO is employed to determine the parameters of multiclass LS-SVM for improving classification accuracy. Finally, some experiments are carried out based on rural credit cooperative data to demonstrate the performance of our proposed model. The results show that the proposed model makes a distinct improvement in the accuracy rate compared with one-vs.-one (1-v-1) LS-SVM, one-vs.-rest (1-v-r) LS-SVM, 1-v-1 SVM, and 1-v-r SVM. In addition, it is an effective tool in solving the problem of loan-risk rating.


Author(s):  
Ankit Agarwal ◽  
K A Desai

Abstract The paper presents a novel approach to improve geometric tolerances (flatness and cylindricity) by manipulating the rigidity among finishing and roughing cutting sequences during end milling of thin-walled components. The proposed approach considers the design configuration of the thin-walled component as an input and aims to determine semi-finished geometry such that the geometric tolerances are optimized while performing finish cutting sequence. The objective is accomplished by combining Mechanistic force model, Finite Element (FE) analysis based workpiece deflection model and Particle Swarm Optimization (PSO) technique to determine optimal disposition of material along the length of component thereby regulating rigidity. The algorithm has been validated by determining rigidity regulated semi-finished geometries for thin-walled components having straight, concave and convex configurations. The outcomes of the proposed algorithm are substantiated further by conducting a set of end milling experiments for each of these cases. The results of the proposed strategy are compared with a traditional approach considering no change in the rigidity of component along length of the cut. It is demonstrated that the proposed approach can effectively optimize geometric tolerances for thin-walled components during end milling operation.


Author(s):  
Peter O’Connor

The Web provides unprecedented opportunities for Web site operators to implicitly and explicitly gather highly detailed personal data about site visitors, resulting in a real and pressing threat to privacy. Approaches to protecting such personal data differ greatly throughout the world. To generalize greatly, most countries follow one of two diametrically opposed philosophies—the self-regulation approach epitomized by the United States, or the comprehensive omnibus legislative approach mandated by the European Union. In practice, of course, the situation is not so black and white as most countries utilize elements of both approaches. This chapter explains the background and importance of protecting the privacy of personal data, contrasts the two major philosophical approaches to protection mentioned above, performs a comparative analysis of the current situation throughout the world, and highlights how the legislative approach is being adopted as the de facto standard throughout the world. The use of trust marks as an alternative to the self-regulation or legislative approach is also discussed, while the effectiveness of each of these efforts is also examined.


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