Automatically evaluating the quality of dialogue responses for unstructured domains is a challenging problem. Unfortunately, existing automatic evaluation metrics are biased and correlate very poorly with human judgements of response quality (Liu et al., 2016). Yet having an accurate automatic evaluation procedure is crucial for dialogue research, as it allows rapid prototyping and testing of n...

We present a generic academic program assessment methodology and process encompassing and unifying the outcome-driven approach of accreditation agencies, such as ABET/CAC, with the content-driven perspective of curriculum standards like the ACM CS Curriculum 2001. The proposed methodology classifies learning objectives into two groups: knowledge and skill. We then present measures for quantifyi...

In heterogeneous environments, devices accessible in different networks may help to provide new opportunities for utilizing new services when they are connected efficiently. In mobile ad hoc networks, it is very difficult in maintaining the links among the devices, because of the frequent change in the density of mobile devices, their various medium of access nature and their mobility. In this ...

Vehicles are major sources of air pollutant emissions, and individuals living near large roads endure high exposures and health risks associated with traffic-related air pollutants. Air pollution epidemiology, health risk, environmental justice, and transportation planning studies would all benefit from an improved understanding of the key information and metrics needed to assess exposures, as ...

Knowing the metrics related to cloud is very critical to enhance the performance of the cloud. To learn the metrics related to cloud like the infrastructure, structure and functionality of the cloud systems many models were described. This paper lists some of the technical models related to the cloud computing that enhances the cloud performance. The models that are discussed focusses on some m...

In this paper, we discuss Quipu our multidimensional quantitative prediction model for hardwaresoftware partitioning. The proposed model is based on linear regression between software metrics determined on a dataset of 127 kernels and measures from their corresponding hardware designs. These software metrics capture the complexity of the C language description. The hardware designs are determin...

Objective- To determine the effects of growth hormone (GH) therapy on bone density in controlled conditions in healthy adult rabbits. Design- Experimental in vivo study.  Animal- 20 healthy, adult New Zealand White rabbits. Procedures- The rabbits were divided into 2 groups; receiving Human GH (0.006 mg/kg/d) and controls; receiving placebo for 3 months. The density of radius and tibia was m...