In this paper we present computational models to compute readability of Indian language text documents. We first demonstrate the inadequacy and the consequent inapplicability of some of the popular readability metrics in English to Hindi and Bangla. Next, we present user experiments to identify important structural parameters of Bangla and Hindi that affect readability of texts in these two lan...

Incomplete data is a common problem of survey research. Recent work on multiple imputation techniques has increased analysts’ awareness of the biasing effects of missing data and has also provided a convenient solution. Imputation methods replace non-response with estimates of the unobserved scores. In many instances, however, non-response to a stimulus does not result from measurement problems...

With the advent of smart sensors and actuators, computing units are interacting with the physical environment at a much larger scale than ever before, through feedback and controlled actuation. Such cyber-physical systems (CPSes) are by definition mission critical and have strict requirements on safety, security, sustainability, reliability, and long term sustainable operation. Guaranteeing the...

High entropy alloys (HEAs) have been the star materials in electrocatalysis research recent years. One of their key features is greatly increased multiplicity active sites compared to conventional catalytic materials. This stimulates a cocktail effect and scaling-relation breaking effect, results improved activity. However, HEAs also poses new problems for mechanistic studies. apparent problem ...

As software systems evolve, it becomes increasingly complex for maintainers to keep them aligned with rapidly changing business requirements. Therefore the cost of software maintenance often exceeds the cost of its initial development or adaptation. As a result, automated approaches for software comprehension emerge providing valuable improvements and cost-savings for the software maintenance. ...

In the DOGMA ontology engineering approach ontology construction starts from a (possibly very large) uninterpreted base of elementary fact types called lexons that are mined from linguistic descriptions (be it from existing schemas, a text corpus or formulated by domain experts). An ontological commitment to such ”lexon base” means selecting/reusing from it a meaningful set of facts that approx...

An important problem in applying classification rule induction techniques to practical applications is how to produce rules that are related to the user’s existing knowledge about the domain and his/her current interests. Such rules are interesting to the user, and also easily understood and trusted by the user. They can enhance the existing knowledge of the domain and be relied upon in real-wo...