Design Strategies for Integrating Artificial Intelligence into Systems Engineering Environment

Author(s):  
Leandro Batista ◽  
Bruno Monsuez
2021 ◽  
Vol 7 (1) ◽  
pp. 170
Author(s):  
Iris Sumariyanto ◽  
Asep Adang Supriyadi ◽  
I Nengah Putra A

<p>Acts of terrorism are crimes and serious violations of human rights, also the threat of violence that can cause mass casualties and destruction of vital strategic objects. This is an urgent threat that needs to be prepared by designing a bomb detector conceptual design as anticipation of the threat of terrorism in public services. This study aims to obtain operational requirements and conceptual design of bomb detectors as detection of terrorism threats in public services. This study uses a mixed-method with a systems engineering approach and a life cycle model to produce a technological design. The results of operational requirements are sensors, standards, artificial intelligence, integration capability, reliability, calibration mode, portable, and easy to maintain. The configuration design is divided into three stages, namely, 1) sensors including a camera security surveillance system vector image, metal detectors, explosive detectors, and A-jamming; 2) as a processing device, processes an order with the help of an artificial intelligence system; and 3)  a security computer (surveillance), early warning, and mobile information to provide information to related agencies, especially the anti-terror unit.</p>


Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Luca Iandoli ◽  
Letizia Piantedosi ◽  
Alejandro Salado ◽  
Giuseppe Zollo

Elegance is often invoked as a characteristic of good design, but it cannot be pursued as a design objective because of the absence of actionable definitions that can be translated into design strategies and metrics. In this work, we analyze elegance in the context of systems engineering using a perspective that integrates visual art, Gestalt psychology, neuroscience, and complexity theory. In particular, we measure elegance as effective complexity and theorize that it can be achieved by a process of complexity resolution based on the adoption of eight visual heuristics. We present an empirical study in which a sample of systems engineers were asked to assess alternative representations of a same system and show that effective complexity is strongly correlated to perceived elegance and systems effectiveness. Our results are consistent with independent findings obtained in other fields including design and psychology of perception showing that good design must embed an effective level of complexity achievable through a mix of familiarity and novelty.


2021 ◽  
pp. 47-59
Author(s):  
Thomas A. McDermott ◽  
Mark R. Blackburn ◽  
Peter A. Beling

KoG ◽  
2019 ◽  
pp. 40-56
Author(s):  
Simone Porro ◽  
Luigi Cocchiarella

The digital and the related technological evolution in recent years have shifted to words such as Virtual Reality and Artificial Intelligence. The wider use of these and other technologies in architecture has been far limited by a lack of IT tools with which architects could interface since they have been made available in the last few years only. The evolution of the tools used by the architect can be condensed and simplified into a sequence of three stages: Drawing Board, CAD systems, Game Engines. The frames of this sequence, in addition to indicating instruments, are representative of the historical context in which they have been or are still being used. This study, based on a Master thesis recently discussed at the Politecnico di Milano [14], examines the role that Game Engines can play in the graphic representation and design processes. More specifically, it takes a closer look at the Unreal Engine as a tool for creating a real-time design environment and using Artificial Intelligence (AI) technologies to represent user flows in the space as valuable support and a relevant part of the design strategies aiming at implementing and evaluating design options. For this purpose, various simulations have been carried out both considering users' flows based on assigned spaces, and generating spaces based on the users' flows.


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