Cross-Sectorial Semantic Model for Support of Data Analytics in Process Industries

an application of equilibrium model for crude oil tanker ships insurance futures in iran

با توجه به تحریم های بین المملی علیه صنعت بیمه ایران امکان استفاده از بازارهای بین المملی بیمه ای برای نفتکش های ایرانی وجود ندارد. از طرفی از آنجایی که یکی از نوآوری های اخیر استفاده از بازارهای مالی به منظور ریسک های فاجعه آمیز می باشد. از اینرو در این پایان نامه سعی شده است با استفاده از این نوآوری ها با طراحی اوراق اختیارات راهی نو جهت بیمه گردن نفت کش های ایرانی ارائه نمود. از آنجایی که بر...

Anomaly Analytics and Structural Assessment in Process Industries

Detecting anomalous behavior can be of critical importance in an industrial application context: While modern production sites feature sophisticated alarm management systems, they mostly react to single events. In the context of process industries and heterogeneous data sources, we model sequential alarm data for anomaly detection and analysis, based on first-order Markov chain models. We outli...

Data Support in Process Model Abstraction

Process model abstraction is an effective approach to reduce the complexity and increase the understandability of process models. Several techniques provide process model abstraction capabilities, but none of them includes data in the abstraction procedure. To overcome this gap, we propose data abstraction capabilities for process model abstraction. The approach is based on use cases found in l...

A Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection

Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....

Secondary Model Developed for Weight Selective in Evaluating the Efficiency of Cross-DEA with Fuzzy Data