scholarly journals GIS based spatial noise impact analysis (SNIA) of the broadening of national highway in Sikkim Himalayas: a case study

2016 ◽  
Vol 3 (4) ◽  
pp. 714-738 ◽  
Author(s):  
Polash Banerjee ◽  
◽  
Mrinal K. Ghose ◽  
Ratika Pradhan
Keyword(s):  
Impact Analysis ◽  
Noise Impact ◽  
National Highway ◽  
Spatial Noise

Frontal Impact Analysis of an Interprovincial Bus Using the Finite Element Method: Case Study in Ecuador

2020 ◽  
pp. 312-320
Author(s):  
Luis Santos-Correa ◽  
Diego Pineda-Maigua ◽  
Fernando Ortega-Loza ◽  
Jhonatan Meza-Cartagena ◽  
Ignacio Abril-Naranjo ◽  
...  
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Impact Analysis ◽  
Frontal Impact ◽  
The Finite Element Method ◽  
Element Method

MoDSEL

2012 ◽  
pp. 572-594
Author(s):  
Ersin Er ◽  
Bedir Tekinerdogan
Keyword(s):  
Software Development ◽  
Impact Analysis ◽  
Software Evolution ◽  
Academic Research ◽  
Model Driven ◽  
Model Driven Software Development ◽  
Basic Concepts ◽  
The Impact ◽  
Development And Evolution

Model-Driven Software Development (MDSD) aims to support the development and evolution of software intensive systems using the basic concepts of model, metamodel, and model transformation. In parallel with the ongoing academic research, MDSD is more and more applied in industrial practices. Like conventional non-MDSD practices, MDSD systems are also subject to changing requirements and have to cope with evolution. In this chapter, the authors provide a scenario-based approach for documenting and analyzing the impact of changes that apply to model-driven development systems. To model the composition and evolution of an MDSD system, they developed the so-called Model-Driven Software Evolution Language (MoDSEL) which is based on a megamodel for MDSD. MoDSEL includes explicit language abstractions to specify both the model elements of an MDSD system and the evolution scenarios that might apply to model elements. Based on MoDSEL specifications, an impact analysis is performed to assess the impact of evolution scenarios and the sensitivity of model elements. A case study is provided to show different kind of evolution scenarios and the required adaptations to model elements.

How Do I Assess Our Cyber Risk?

2021 ◽  
pp. 41-57
Author(s):  
Gregory Falco ◽  
Eric Rosenbach
Keyword(s):  
Communication Networks ◽  
Impact Analysis ◽  
Critical Systems ◽  
Safety Critical ◽  
Safety Critical Systems ◽  
Mission Critical ◽  
Delivery Networks ◽  
Cyber Risk ◽  
Digital Assets

The question “How do I assess our cyber risk?” addresses how to identify and characterize cyber risk unique to an organization’s critical systems, networks, and data. The chapter begins with a case study about a cyberattack on Ukraine’s electric grid. It details risk assessment for three types of critical systems: mission-critical systems, business-critical systems, and safety-critical systems. It explains the three types of networks critical to many organizations: business and administrative networks, operational and service delivery networks, and communication networks. In outlining the “CIA triad,” it shows how cyber risk can be characterized as a confidentiality, integrity, or availability issue relating to digital assets. Further, it describes how to assess the importance of different digital assets and how to prioritize them using a business impact analysis (BIA). The chapter concludes with real-world Embedded Endurance strategy lessons Rosenbach gained in Saudi Arabia in the wake of one of the world’s most destructive cyberattacks.

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