Chandrasekaran Subramaniam

A context aware approach to emergency management systems

The objective of the work is to propose an emergency management system architecture with work flows for activating the needed services by processing the request calls with a context aware approach to enhance the performance and correctness of the system. The integration of heterogeneous communication networks and context aware computing technologies plays an important role in the highly dynamic environment to achieve the best performance of such a software intensive system. The system architecture is considered as a set of containers for the functionalities of an emergency call processes for the management and the interaction among them is the main focus to bring the performance attributes of such systems. Attribute Driven Design (ADD) process is employed to keep the attributes of all the technologies along with context-awareness. The service processes and the activities in the work flow are considered to analyse the performance indicators of every sub processes. Emergency management involves Event management, Time management and Resource management techniques which can produce effective performance due to integration of technologies with adaptiveness and context awareness.

Membrane Computing Model for Software Requirement Engineering

The objective of this work is to propose a membrane computing model for software requirement engineering activities during the inception phase of the software development. The bio-inspired approach is used in requirement engineering for the transformation of user requirements into system requirements using a probabilistic distributed computing model with abstraction coefficients, amalgamation factors and clarity factors. The software company rules and policies are considered in the model and rewritten over a period of time. This model considers the different phases of software requirement engineering as membranes and the various requirements are considered as objects and the requirement engineering process hierarchy is modeled as a membrane structure. The key process activities like requirement analysis and requirements change management are considered as primary membranes in the model. The communication between primary membranes through corresponding reaction rules are derived to determine the design objects. The results for the transformation of various requirement engineering processes are verified using a simulation in JDesigner tool.

Knowledge Based Requirement Engineering Framework for Emergency Management System

The objective of this work is to propose a knowledge based requirement engineering framework to arrive at a reusable design and deployment of a flood situation service in emergency management system software. In this proposed framework, the software requirement specifications are treated as input data with their corresponding association in multiple contexts. All such requirement information is fed into an expert system in the domain layer out of which the first class entities are derived to arrive at a meta-modeling of the target services. A set of contexts that concentrate upon the essential services with respect to deployment time and workflow parameters are considered as field knowledge. The knowledge base with all these information in multiple dimensions is treated as an engine to deliver the resulting design for the software services. The evolutionary computations under different conflicts are carried out as per the changing requirements. The proposed knowledge based system for changing emergency requirements of incident management software is evaluated in terms of maximum likelihood of the correct design with the growth and decay of incoming requests. The domain expert, meta-modeler and decision support modules are incorporated as knowledge based framework to arrive at an effective design for emergency management system.

Diversified Insulin-Associated Beta-Behavioral and Endogenously Triggered Exposed Symptoms (DIABETES) Model of Diabetes in India

The objective of the paper was to propose a diversified insulin-associated beta-behavioral and endogenously triggered exposed symptoms (DIABETES) model due to multiple factors so as to suggest medical remedies to improve the avoidance of diabetes disease. The various causes and their chances toward the most common diabetes effects including deaths in the nation are modeled as an diversified insulin association. The regional, social, biological and cultural aspects of the Indian community are considered to model the diabetes that of different categories. The performance and the correctness of the model are determined by considering the heterogeneity due to different factors that are specified as proposed IAB-ETES process algebra. The model-driven approach needs restricted operations on the variables to supplement any health care information system. The individual human responsibility and societal awareness along with the health regulation acts can minimize the vulnerability of the disease if the information technology for biological system complies with the enforcement acts of the developing nation.

Trigger action reaction model in high performance computing for impact analysis due to Artificial Energy Drinks

The objective of the research work is to propose a trigger-action-reaction (TAR) based impact analysis model with the outcome due to Artificial Energy Drinks (AED) on Indian youth. The AED causes a drastic behavioural changes leading to potential health risks in India and the studies suggest that young people or college students are therefore vulnerable to increased problems from ingesting these products. The young community is more likely to take risks than adults and to suffer high rates of alcohol problems, including alcohol-related traffic accidents, violence, sexual assault, and suicide as per the studies. The reaction induces faster metabolism in youth by AEDs resulting to uncontrollable emotional outbursts leading to different health and legal problems. A parallel action reaction based impact analysis with number of AEDs sold out in India that results in criminal activities due to massive consumption of AEDs by the society. A formal model of trigger-action-reaction is applied and validated by multi-core programming using CUDA.

Application safety enhancement model using self-checking with software enzymes

The objective of the paper is to propose a safety enhancement model for application software in accelerating the respective self checking strategies similar to bio enzymatic actions. The application software components which are safety critical may have to be assessed periodically or on demand to achieve not only the functional correctness but also the safety specifications or features while getting executed. The design and deployment of such software modules can be formally verified for possible safety flaws using self checking capabilities and software enzymatic actions. The self checks must sense the safety holes in the software and decide to activate the built-in software components called enzymes to do the safe guard operations in a timely manner to mitigate the safety faults using the proposed enzyme calculus. The various application hazards due to the boolean faults in the functional and behavioral model that lead to software safety issues are considered in this approach.

Metabolic Algorithm for Software Requirement Engineering

The objective of this work is to apply metabolic algorithm to the various items involved during the software development process. The metabolic algorithm is introduced in the rewriting mechanism of membrane or P system considering many time varying functions. Rules for requirement evolution, reaction between items in the membrane, communications between data items, process speed-up and abort rule are being proposed. The metabolic algorithm is applied for the transformation of user requirements into system requirements which can be further segregated into functional as well as non-functional requirements. The requirement elicitation is illustrated and verified to obtain the most expected requirement objects using C# programming language.

Network Virtualization for Emergency Management Services

The objective of the work is to propose a Quality of Service (QoS) aware heterogeneous networking model for emergency management system using network virtualization. An emergency management information system is made up of heterogeneous communication and computing networks to address the crisis situation and adopt the network according to the service parameters. To meet the unpredictable demands and accept various data formats, some subnets of the heterogeneous network are virtualized using network virtualization techniques. The various protocols and the routing policies are selected based on the end services using the context of the emergency situations like flood, terrorist attack and fire. The overall action is coordinated by centralized government agency and the performance in terms of QoS of the heterogeneous network for emergency management system is simulated with mobile clients.