Gokul K.

In ISO 26262, the top-level safety goals are derived using the Hazard Analysis and Risk Assessment. Functional safety requirements (FSRs) are then derived from these safety goals in the concept phase (ISO 26262-3:2011). The standard does not call out a specific method to develop these FSRs from safety goals. However, ISO 26262-8:2011, Clause 6, does establish requirements to ensure consistent management and correct specification of safety requirements with respect to their attributes and… Show more

In ISO 26262, the top-level safety goals are derived using the Hazard Analysis and Risk Assessment. Functional safety requirements (FSRs) are then derived from these safety goals in the concept phase (ISO 26262-3:2011). The standard does not call out a specific method to develop these FSRs from safety goals. However, ISO 26262-8:2011, Clause 6, does establish requirements to ensure consistent management and correct specification of safety requirements with respect to their attributes and characteristics throughout the safety lifecycle. Hence, there are expectations on the part of system engineers to bridge this gap. The method proposed in this paper utilizes concepts from process modeling to ensure the completeness of these requirements, eliminate any external inconsistencies between them and improve verifiability. The goals of process modeling are to understand the current state of the process in detail, define the desired state of the process and implement techniques to change the state. The process model variables provide the appropriate context needed to define these states. These principles are commonly adopted in the fields of software development and chemical engineering. They are also being used to improve safety in aviation and industrial operations with some success. In an ISO 26262-based product development, process modeling can help define all the safety-relevant attributes of a system and analyze them. With this information, the functional safety requirements can be written with a high level of rigor. Electronic Throttle Control is used in this paper as an example to illustrate the advantages of the proposed method. Show less

With rapid technological advancement and sharply burgeoning needs as a result of explosion of population, conservation of power has become a prime challenge for mankind today.

In our paper, we present a computer-aided tool that will facilitate significant cutbacks in residential power utilization. Statistics show that households spend the biggest part of generated electric power. Even minor reductions will spell wonders for the safety of our environment, considering the sheer number of… Show more

With rapid technological advancement and sharply burgeoning needs as a result of explosion of population, conservation of power has become a prime challenge for mankind today.

In our paper, we present a computer-aided tool that will facilitate significant cutbacks in residential power utilization. Statistics show that households spend the biggest part of generated electric power. Even minor reductions will spell wonders for the safety of our environment, considering the sheer number of residences around the world. Moreover, the expenditure on electricity will trim down considerably, making this a highly win-win situation.

Data Mining, braced with an Intelligent Central Controller and a GSM module, is the underlying concept behind our proposal. Dynamic updates about power utilisation, along with suggestions for the most economic usage of power are presented by our system. With the infinite possibilities for optimisation offered by data mining in real time, we can achieve a commendable “Comfort to Power Utility Ratio”.

Most importantly, we can save power dynamically, without compromising on the cozy living conditions our homes have to offer. With the implementation of our system, we are confident of eliminating black-outs, coming not at the cost of our environment, but from unjustifiable extra power being consumed at households around the world. Show less