In a companion paper of this session [1] we formally defined the notion of equivalence classes of circuits which are physical clones of an existing benchmark seed circuit created by the GEN tool. Here we use well-known partitioning and placement tools to study the behaviour of clone circuits. We outline a simple methodology for using equivalence classes of clone circuits for benchmarking. We th...

Here, we describe a novel spontaneous autosomal recessive mutation in the mouse that is characterized by skeletal and cardiac muscle degeneration. We have named this mutant degenerating muscle (dmu). At birth, mutant mice are indistinguishable from their normal littermates. Thereafter, the disease progresses rapidly and a phenotype is first observed at approximately 11 days after birth; the dmu...

Recently, a mixed integer data envelopment analysis (DEA) model has been proposed to find the most BCC-efficient (or the best) decision making unit (DMU) by Toloo (2012). This paper shows that the model may be infeasible in some cases, and when the model is feasible, it may fail to identify the most efficient DMU, correctly. We develop an improved model to find the most BCC-efficient DMU that r...

In the current collaborative and extended-enterprise environment, product definition must be exchanged between original equipment manufacturers (OEM) and other partners who contribute to the evolution of product definition. In many cases, an information package, which is associated with other objects in the DMU, must thus be extracted from the OEM’s Digital Mock -up (DMU) and be sent to partner...

In this work, artificial neural network (ANN) has been employed to propose a practical model for predicting the surface tension of multi-component mixtures. In order to develop a reliable model based on the ANN, a comprehensive experimental data set including 15 ternary liquid mixtures at different temperatures was employed. These systems consist of 777 data points generally containing hydrocar...

In their pursuit to represent a human-savvy machine interpretable model of knowledge, informatics ontologies span three dimensions: philosophy, artificial intelligence, and linguistics. This poses several challenges to ontology validation. Within the scope of knowledge models, four types of validity are relevant: statistical, construct, internal and external. Based on benchmarking some tools an...

One of the main important issues in Data Envelopment Analysis (DEA) is to recognize set anchor points which subset extreme efficient production possibility (PPS). An point an located on intersection strong frontier and weak frontier. In other word, each delineate from So, if a decision making unit (DMU) point, then there at least one supporting hyperplane whose gradient vector has some zero com...

The 2006 Commercial End Use Survey (CEUS) database developed by the California Energy Commission is a far richer source of energy enduse data for non-residential buildings than has previously been available, and opens the possibility of creating new and more powerful energy benchmarking processes and tools. In this article—Part 2 of a two-part series—we describe the methodology and selected res...

The traditional data envelopment analysis (DEA) literatures generally concentrated on the efficiency evaluation of single decision making unit (DMU). However, in many practical problems, the decision makers are required to choose a number of DMUs instead of a single one from the DMUs set. Therefore, it is necessary to study the combinatorial efficiency evaluation problem which can be illustrate...