A new approach to the digital implementation of analog controllers and continuous-time reference models

In this thesis, a new approach to the design of digital control systems is introduced. In particular, three new methods are presented, two for the digital redesign of a pre-designed analog control system, and one for the digital implementation of a pre-specified continuous-time reference model.The proposed approach is based on the novel idea of relating digital and analog control systems through their plant-input transfer functions, i.e., the transfer function from the command input to the plant input.The main advantages of the new approach are the guaranteed closed-loop stability for almost all sampling periods, and the recovery of the continuous-time performance when the sampling period approaches zero. The effectiveness of the proposed approach is illustrated by applying it to some famous example, borrowed form other references for the purpose of comparison.The proposed approach is applicable to multi-input multi-output, unstable and non-minimum-phase plants, as long as a suitable analog controller exists. As far as the author of this thesis is aware, such generality is not available with other existing methods.Since discrete-time models of continuous-time transfer functions play an important role in the proposed approach, a new characterization of these models is also present in this thesis

Investigating the Relationship between Governance and Key Processes of the Iran IoT Innovation System

Despite the emergence of unique opportunities for social-industrial growth and development resulting from the use of the Internet of Things (IoT), lack of a well-posed IoT governance will cause serious threats on personal privacy, public safety, industrial security, and dubious data gathering by unauthorized entities. Furthermore, adopting a systemic governance approach, particularly for the IoT innovation system, requires a precise clarification on the concept and scope of IoT governance. In this study, by employing the Structural Equation Modeling (SEM) approach, the role of governance in the Iran IoT innovation system is investigated. Contacting respondents across the seven industries, including Information and Communication Technology (ICT), Healthcare, Transportation, Oil and Gas, Energy, Agriculture, and Banking over the course of three months, the authors performed statistical analysis on 319 fulfilled questionnaires using SPPS and Smart PLS software. Findings show that all IoT-related TIS processes have been affected by IoT governance functions. The main result of this study is the proposition of particular governance functions, including policy-making, regulation, facilitation, and service provision with more notable impact on the indicators of the key processes in the IoT-based TIS

Generating Synthetic Space Allocation Probability Layouts Based on Trained Conditional-GANs

In this paper, a data-driven generative method is applied to generate synthetic space allocation probability layout. This generated layout could be helpful in the early stage of an architectural design. For this task, a specific training dataset is generated which is used to train the cGAN model. The training dataset consists of 300 existing apartment layouts which are coloured in a set of low feature representation. The cGAN model is trained with this dataset and the trained model is evaluated based on the quality of its generated layouts regarding the five pre-defined topological and geometrical benchmarks