The energy consumption issue in distributed computing systems has become quite critical due to environmental concerns. In response to this, many energy-aware scheduling algorithms have been developed primarily by using the dynamic voltage-frequency scaling (DVFS) capability incorporated in recent commodity processors. The majority of these algorithms involve two passes: schedule generation and ...

Abstract Mergers and acquisitions (M&A) are important parts of banking reform, which can increase the synergies reduce costs banks. To analyze effect importance M&A in reform period, we measure productivity change China’s banks who completed during 2004– 2018, by using a two-stage data envelopment analysis (DEA) method. First, incorporate process deposits producing profit earning as str...

We recall the use of squared slacks used to transform inequality constraints into equalities and several reasons why their introduction may be harmful in many algorithmic frameworks routinely used in nonlinear programming. Numerical examples performed with the sequential quadratic programming method illustrate those reasons.

Inside a case-based system, a case c is represented by a set of information entities ei E: c = {e1, e2, ..., en}. It is compared with a query q that is as well just a set of information entities. A composite similarity function for q, c ⊆ E determines a numeric value for the degree of similarity SIM(q, c). SIM is computed by means of a local similarity function sim : E × E → R. A very simple ex...

This paper describes a generic framework for explaining the prediction of a probabilistic classifier using preceding cases. Within the framework, we derive similarity metrics that relate the similarity between two cases to a probability model and propose a novel case-based approach to justifying a classification using the local accuracy of the most similar cases as a confidence measure. As basi...

In this paper, we suggest that ine±ciency may be an indirect, onthe-job compensation to agents in an organization. We show how to use actual production data to reveal the trade-o®s between di®erent ine±ciencies (slacks). Moreover, we discuss how to use this to improve decision making and incentive provisions in organizations.

Air Traffic Control Planning is a complex area of research in which there is a great need for new and efficient coordination techniques. The tight connection between several parties with different interests makes it a typical and challenging area for the application of multiagent techniques. We study the relation between two important underlying principles in airport traffic planning, namely ut...

Education is a fundamental factor to enhance country’s comprehensive national strength and international competitiveness. Recently, several governments have been attracting investments in educational sectors contemplation of meliorating overall strength. This study empirically assesses compares the efficiency 29 major countries across world using panel data for 2010–2016 by employing envelopmen...

Taking the panel data of 13 provinces (autonomous regions and municipalities directly under central government) in Shanxi Xinjiang from 2011 to 2020 as research object, we establish an evaluation index system for assessing smart mine construction development efficiency combined with global reference method. The non-desired output super-efficiency slacks-based measure kernel density model were u...

Investigating urban green innovation efficiency (UGIE) is imperative because it correlated with the development of an ecological civilization and innovative country. Spatiotemporal evolution influencing factors UGIE are two important scientific problems that worth exploring. This study presents indicator system for includes input, expected output, unexpected employs a super-efficiency slacks-ba...