WorldCat Identities

Rahman, Mohammad Ashiqur

Works: 8 works in 19 publications in 1 language and 300 library holdings
Roles: Other, Author
Publication Timeline
Most widely held works by Mohammad Ashiqur Rahman
Security and resiliency analytics for smart grids : static and dynamic approaches by Ehab S Al-Shaer( )

11 editions published between 2016 and 2018 in English and held by 291 WorldCat member libraries worldwide

This book targets the key concern of protecting critical infrastructures such as smart grids. It explains various static and dynamic security analysis techniques that can automatically verify smart grid security and resiliency and identify potential attacks in a proactive manner. This book includes three main sections. The first presents the idea of formally verifying the compliance of smart grid configurations with the security and resiliency guidelines. It provides a formal framework that verifies the compliance of the advanced metering infrastructure (AMI) configurations with the security and resiliency requirements, and generates remediation plans for potential security violations. The second section covers the formal verification of the security and resiliency of smart grid control systems by using a formal model to analyze attack evasions on state estimation, a core control module of the supervisory control system in smart grids. The model identifies attack vectors that can compromise state estimation. This section also covers risk mitigation techniques that synthesize proactive security plans that make such attacks infeasible. The last part of the book discusses the dynamic security analysis for smart grids. It shows that AMI behavior can be modeled using event logs collected at smart collectors, which in turn can be verified using the specification invariants generated from the configurations of the AMI devices. Although the focus of this book is smart grid security and resiliency, the included formal analytics are generic enough to be extended to other cyber-physical systems, especially those related to industrial control systems (ICS). Therefore, industry professionals and academic researchers will find this book an exceptional resource to learn theoretical and practical aspects of applying formal methods for the protection of critical infrastructures.--Résumé de l'éditeur

2 editions published in 2015 in English and held by 3 WorldCat member libraries worldwide

Assessing the role of turbulence-radiation interactions in hydrogen-enriched oxy-methane flames( )

1 edition published in 2018 in English and held by 1 WorldCat member library worldwide

Abstract: Statistical analysis of scalar data obtained from single-shot laser measurements in four turbulent oxy-fuel flames were carried out to develop a functional relationship for the temperature self-correlation (TSC) term for use in Turbulence Radiation Interaction (TRI) models. The developed relationship was found to be invariant with the hydrogen enrichment in the fuel, fuel jet Reynolds numbers and correlated reasonably well with the root-mean-square of temperature (Trms ). The TSC and the absorption-coefficient temperature correlation (ATC) were both modeled in terms of Trms and employed as add-on functions in time-averaged flame simulations. Including the effects of TRI enhanced the radiant fraction by 40% and reduced outlet CO concentrations by 30% across all flames. Further, there was significant flame absorption due to the high concentrations of radiatively participating gases that would deem optically thin radiation approximations in these flames to be erroneous. Highlights: Data from four hydrogen enriched oxy-methane flames was statistically analyzed. TRI closure terms formulated based on functional forms resulting from flame data. The functional relationships were invariant with fuel composition, Reynolds number. TSC and ATC approximations to the TRI enhanced emission by 30–40%. Including the effects of TRI reduced outlet CO predictions by 30%
Electrochemical model based fault diagnosis of lithium ion battery by Mohammad Ashiqur Rahman( )

1 edition published in 2015 in English and held by 1 WorldCat member library worldwide

A gradient free function optimization technique, namely particle swarm optimization (PSO) algorithm, is utilized in parameter identification of the electrochemical model of a Lithium-Ion battery having a LiCoO2 chemistry. Battery electrochemical model parameters are subject to change under severe or abusive operating conditions resulting in, for example, Navy over-discharged battery, 24-hr over-discharged battery, and over-charged battery. It is important for a battery management system to have these parameters changes fully captured in a bank of battery models that can be used to monitor battery conditions in real time. In this work, PSO methodology has been used to identify four electrochemical model parameters that exhibit significant variations under severe operating conditions. The identified battery models were validated by comparing the model output voltage with the experimental output voltage for the stated operating conditions. These identified conditions of the battery were then used to monitor condition of the battery that can aid the battery management system (BMS) in improving overall performance. An adaptive estimation technique, namely multiple model adaptive estimation (MMAE) method, was implemented for this purpose. In this estimation algorithm, all the identified models were simulated for a battery current input profile extracted from the hybrid pulse power characterization (HPPC) cycle simulation of a hybrid electric vehicle (HEV). A partial differential algebraic equation (PDAE) observer was utilized to obtain the estimated voltage, which was used to generate the residuals. Analysis of these residuals through MMAE provided the probability of matching the current battery operating condition to that of one of the identified models. Simulation results show that the proposed model based method offered an accurate and effective fault diagnosis of the battery conditions. This type of fault diagnosis, which is based on the models capturing true physics of the battery electrochemistry, can lead to a more accurate and robust battery fault diagnosis and help BMS take appropriate steps to prevent battery operation in any of the stated severe or abusive conditions
Automated formal analytics for smart grid security and resiliency by Mohammad Ashiqur Rahman( Book )

1 edition published in 2015 in English and held by 1 WorldCat member library worldwide

Second, we formally model a framework to automatically synthesize cost-effective, network isolation-based resiliency architecture for the cyber systems in smart grids. The framework considers isolation requirements and usability and cost constraints, and synthesizes resiliency configurations by exploring various isolation patterns for network traffic flows. We devise a hypothesis testing-based refinement mechanism that systematically finds an optimal resilient architecture by investigating alternative designs. We provide another framework to synthesize redundancy-based resilient configurations for AMI, considering operational integrity and robustness requirements
Towards an integrated pollution management approach for the Buriganga River in Bangladesh by Mohammad Ashiqur Rahman( )

1 edition published in 2011 in English and held by 1 WorldCat member library worldwide

Governance Matters: Power, Corruption, Social Exclusion, and Climate Change in Bangladesh by Mohammad Ashiqur Rahman( )

in Undetermined and held by 1 WorldCat member library worldwide

Although there is a growing literature on non-climatic drivers of vulnerability to climate change, there are only a few empirical case studies that demonstrate the process through which vulnerability is produced. Moreover, existing climate literatures offer very limited insights on the linkages between governance and vulnerability to climate change. Within the governance framework, this dissertation tends to contribute to the current body of knowledge by exploring the role of governance in producing vulnerability to climate change. Using southwest coastal Bangladesh as an example, this study addresses three specific research questions: (1) how mastaanocracy, a form of uneven power relations shapes vulnerability to climate change; (2) the impact of corruption, particularly bribery and extortion on livelihoods in the face of climate change; and (3) the linkage between social exclusion and climate change vulnerability. Findings suggest that unequal power relation and corruption reduces the ability of the population to cope with the stresses of climate change. Social exclusion adds an extra burden to already vulnerable segments of population. On the other hand, climatic change pushes marginalized community further away thus exacerbating social exclusion. Based on the findings, I argue that it is difficult to build resilience and achieve successful adaptation without addressing the structural factors of power and inequality
Local response to global climate change : salinity and livelihood in a Bangladesh village by Mohammad Ashiqur Rahman( Book )

1 edition published in 2010 in English and held by 1 WorldCat member library worldwide

Audience Level
Audience Level
  Kids General Special  
Audience level: 0.56 (from 0.45 for Electroche ... to 0.89 for Assessing ...)

Alternative Names
Ashiqur Rahman, Mohammad

Rahman, Md. Ashiqur

English (18)