Resource utilization model for the algorithm to architecture mapping model

The analytical model for resource utilization and the variable node time and conditional node model for the enhanced ATAMM model for a real-time data flow architecture are presented in this research. The Algorithm To Architecture Mapping Model, ATAMM, is a Petri net based graph theoretic model developed at Old Dominion University, and is capable of modeling the execution of large-grained algorithms on a real-time data flow architecture. Using the resource utilization model, the resource envelope may be obtained directly from a given graph and, consequently, the maximum number of required resources may be evaluated. The node timing diagram for one iteration period may be obtained using the analytical resource envelope. The variable node time model, which describes the change in resource requirement for the execution of an algorithm under node time variation, is useful to expand the applicability of the ATAMM model to heterogeneous architectures. The model also describes a method of detecting the presence of resource limited mode and its subsequent prevention. Graphs with conditional nodes are shown to be reduced to equivalent graphs with time varying nodes and, subsequently, may be analyzed using the variable node time model to determine resource requirements. Case studies are performed on three graphs for the illustration of applicability of the analytical theories

#MDXPD Product Design 2016

A review of Middlesex Product Design staff, student and professional collaborator publications, research, awards and project work for 2016

#MDXPD Product Design 2019

A review of Middlesex Product Design staff, student and professional collaborator publications, research, awards and project work for 2019

#MDXPD Product Design 2015

A review of Middlesex Product Design staff, student and professional collaborator publications, research, awards and project work for 2015

TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources

In many dynamic open systems, agents have to interact with one another to achieve their goals. Here, agents may be self-interested, and when trusted to perform an action for another, may betray that trust by not performing the action as required. In addition, due to the size of such systems, agents will often interact with other agents with which they have little or no past experience. There is therefore a need to develop a model of trust and reputation that will ensure good interactions among software agents in large scale open systems. Against this background, we have developed TRAVOS (Trust and Reputation model for Agent-based Virtual OrganisationS) which models an agent's trust in an interaction partner. Specifically, trust is calculated using probability theory taking account of past interactions between agents, and when there is a lack of personal experience between agents, the model draws upon reputation information gathered from third parties. In this latter case, we pay particular attention to handling the possibility that reputation information may be inaccurate

MDXPD Magazine 2021

#MDXPD WELCOME “...bringing people and technology together (in meaningful ways) to create useful stuff and things.” Welcome, everyone, to our 7th Annual #MDXPD Magazine. Our 2020-21 academic year was dominated by the ongoing COVID pandemic. It has been a time of sadness and of difficulty, but also of innovation and inspiration. The creativity, compassion and resilience of our students and staff through this period shines through in the stories we feature in this issue of the magazine. We have continued to be lucky, in this period of fear, uncertainty and upheaval, to work and learn within an enlightened institution. The institutional ethos was captured by their statement of principles for staff and students at the beginning of the COVID crisis (see pages 03-04 of #MDXPD 2020 Magazine). This supportive framework continues to enable us to approach design and engineering within our philosophy that leads with insight, understanding and empathy, and values collaborative creativity and human and ecology centred innovation. Everything continued to change. And our students and staff confronted the changes with energy, dignity and support for one another. The staff and student co-design of the Product Design and Product Design Engineering structure, content and approach, highlighted in last year’s magazine remained a huge positive in developing our teaching and learning in the online space, through to hybrid live/online approaches and back towards fully live, digitally supplemented experiences for the approaching academic year. The focus on collaborative practice, studio ‘environments’ and team teaching, rather than traditional lecture-based approaches that was recreated in our 2020-21 ‘virtual studio’ practice, ensured that the hands-on and peer-supported experience was retained and refined in a positive and meaningful way. There were challenges during this period and in the coming return to live activity, but the creative and collaborative mindset of all staff and students surmounted the challenges, and we are optimistic that the new challenges will be equally well resolved. This year’s magazine contains our usual mix of inspirational final year major projects, staff and student stories and projects from across the year, alongside three special features: reflections on Teaching & Learning throughout COVID (see pages 3-16); ‘5 Years On’ reviews and reflections from our 2016 graduates on life in industry & at MDXPD (see pages 29-54); and a comprehensive collection of insights and advices from industry on Design Portfolios (see pages 75-105). Good luck to all our brilliant graduates for the future. Welcome to all our new students. Take care of yourselves & best wishes to all readers of the magazine

#MDXPD Product Design 2017

A review of Middlesex Product Design and Design Engineering staff, student and professional collaborator publications, research, awards and project work for 2017

#MDXPD Product Design 2020

MDXPD Magazine 2019-20 details the student, staff and collaborative partner research and practice work across Middlesex University Department of Design Engineering and Mathematics and Programmes BA(Hons) Product Design and BEng (Hons) Product Design Engineering