scholarly journals A genetic algorithm based optimization framework to visualize, evaluate, and modify 3D space configurations in Desktop VR

2014 ◽  
Vol 5 ◽  
pp. A01 ◽  
Author(s):  
Magesh Chandramouli ◽  
Gary R. Bertoline
Keyword(s):  
Interior Design ◽  
Spatial Configuration ◽  
Optimization Procedure ◽  
Pareto Optimal ◽  
Interior Space ◽  
Search Spaces ◽  
3D Space ◽  
Space Allocation ◽  
Spatial Configurations ◽  
Desktop Vr

This paper presents the design and implementation of a Desktop VR (Virtual Reality) framework for generating and evaluating Pareto-optimal alternate 3D spatial configurations using GA (genetic algorithms). The 3-tier framework involves the generation of the Pareto-optimal plans using GA which are subsequently visualized first using a Java-based 2D Interface and finally in the form of a 3D VR scene. The search spaces (function domains) are extremely large in today’s multifaceted interior design situations, and the optimization procedure involves conflicting objective functions, and limitations in the form of constraint functions. The interior space allocation problem is formulated and implemented as the “optimal configuration of artifacts”. When using GAs, a group of Pareto-optimal solutions (Pareto set) are available for the planners and decision-makers, wherefrom one solution ought to be picked. Therefore, this study applies a tool to not only visually evaluate the plans, but also to interact with those plans to develop them further if needed. Besides enabling the optimal spatial configuration of the scene elements, this framework also facilitates evaluation and interaction via the 3D VR worlds. The framework aids the proactive exploration, analysis, and finalization of design aspects such as color, size, lighting, etc. of the various elements prior to the actual construction. The results demonstrate the robust performance of the GA and the final 3D VR environment with dynamic interactive capabilities. This final interface facilitates “GA-Compliant” transformations and scene modifications thereby facilitating the exploration and examination of alternative scene configurations.

scholarly journals Optimization Of Multi-Module CrN/CrCN Coatings

2015 ◽  
Vol 60 (2) ◽  
pp. 1037-1043
Author(s):  
Ł. Szparaga ◽  
P. Bartosik ◽  
A. Gilewicz ◽  
J. Ratajski
Keyword(s):  
Optimization Procedure ◽  
Stress And Strain ◽  
Pareto Optimal ◽  
Mutual Distance ◽  
Pareto Optimal Solutions ◽  
Optimal Solutions ◽  
Decision Criteria ◽  
Decision Variables ◽  
42Crmo4 Steel ◽  
The Stability

Abstract In the paper was proposed optimization procedure supporting the prototyping of the geometry of multi-module CrN/CrCN coatings, deposited on substrates from 42CrMo4 steel, in respect of mechanical properties. Adopted decision criteria were the functions of the state of internal stress and strain in the coating and substrate, caused by external mechanical loads. Using developed optimization procedure the set of optimal solutions (Pareto-optimal solutions) of coatings geometry parameters, due to the adopted decision criteria was obtained. For the purposes of analysis of obtained Pareto-optimal solutions, their mutual distance in the space of criteria and decision variables were calculated, which allowed to group solutions in the classes. Also analyzed the number of direct neighbors of Pareto-optimal solutions for the purposes of assessing the stability of solutions.

Discreteness of Space and Its Consequences

2021 ◽  
pp. 132-141
Author(s):  
Аnatoly М. Shutyi ◽  
Keyword(s):  
Spatial Configuration ◽  
Relativistic Effects ◽  
Space Time ◽  
Maximum Speed ◽  
Speed Of Light ◽  
Quantum Uncertainty ◽  
Proposed Model ◽  
Spatial Configurations ◽  
New Interpretation ◽  
Component Particle

Based on the general principle of the unity of the nature of interacting entities and the principle of the relativity of motion, as well as following the requirement of an indissoluble and conditioning connection of space and time, the model of a discrete space-time consisting of identical interacting particles is proposed as the most acceptable one. We consider the consequences of the discreteness of space, such as: the occurrence of time quanta, the limiting speed of signal propa­gation, and the constancy of this speed, regardless of the motion of the reference frame. Regularly performed acts of particles of space-time (PST) interaction en­sure the connectivity of space, set the quantum of time and the maximum speed – the speed of light. In the process of PST communication, their mixing occurs, which ensures the relativity of inertial motion, and can also underlie quantum uncertainty. In this case, elementary particles are spatial configurations of an excited “lattice” of PST, and particles with mass must contain loop struc­tures in their configuration. A new interpretation of quantum mechanics is pro­posed, according to which the wave function determines the probability of de­struction of a spatial configuration (representing a quantum object) in its corresponding region, which leads to the contraction of the entire structure to a given, detectable component. Particle entanglement is explained by the appear­ance of additional links between the PST – the appearance of a local coordinate along which the distance between entangled objects does not increase. It is shown that the movement of a body should lead to an asymmetry of the tension of the bonds between the PST – to the asymmetry of its effective gravity, the es­tablishment of which is one of the possibilities for experimental verification of the proposed model. It is shown that the constancy of the speed of light in a vac­uum and the appearance of relativistic effects are based on ensuring the connec­tivity of space-time, i.e. striving to prevent its rupture.

Systematic spatial patterns of the sense of familiarity: Hierarchical modelling based on eye-tracking experiments

2018 ◽  
Vol 72 (4) ◽  
pp. 832-846
Author(s):  
Kiyofumi Miyoshi ◽  
Hiroshi Ashida
Keyword(s):  
Working Memory ◽  
Visual Field ◽  
Spatial Patterns ◽  
Stimulus Type ◽  
Spatial Configuration ◽  
Long Term Memory ◽  
Lower Visual Field ◽  
Referential Process ◽  
Memory Theory ◽  
Spatial Configurations

Using different types of stimuli, such as pictures, horizontally written Japanese words, and vertically written Japanese words, this study investigated the spatial patterns of the sense of familiarity within the visual field. The perceptual asymmetry theory predicted that stimuli in the lower visual field would be processed more fluently and would therefore be perceived as more familiar. The working memory theory, originally proposed in space–number research, envisaged type-specific spatial patterns for different stimuli. Participants made old/new recognition memory judgements for stimuli, presented at random positions, while their eye movements were recorded. The observed spatial patterns changed according to the stimulus type (e.g., “more left = older” for horizontally written words and “upper = older” for vertically written words), and this flexibility is encapsulated by the working memory theory as follows: (a) stimulus-type-specific spatial configurations are encoded in long-term memory on the basis of one’s experience (e.g., vertically written words are empirically associated with the “upper = older” spatial configuration), (b) the presentation of a stimulus automatically cues the temporal activation of the associated spatial configuration in working memory, and (c) the referential process between the stimulus and configuration unconsciously affects the viewer’s sense of familiarity.

scholarly journals One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search

2021 ◽  
Vol 5 (3) ◽  
pp. 1-34
Author(s):  
Bingqian Lu ◽  
Jianyi Yang ◽  
Weiwen Jiang ◽  
Yiyu Shi ◽  
Shaolei Ren
Keyword(s):  
State Of The Art ◽  
Autonomous Driving ◽  
Pareto Optimal ◽  
Video Content ◽  
Fast Evaluation ◽  
Video Content Analysis ◽  
Search Spaces ◽  
Neural Architecture ◽  
Real World Applications ◽  
Prohibitive Cost

Convolutional neural networks (CNNs) are used in numerous real-world applications such as vision-based autonomous driving and video content analysis. To run CNN inference on various target devices, hardware-aware neural architecture search (NAS) is crucial. A key requirement of efficient hardware-aware NAS is the fast evaluation of inference latencies in order to rank different architectures. While building a latency predictor for each target device has been commonly used in state of the art, this is a very time-consuming process, lacking scalability in the presence of extremely diverse devices. In this work, we address the scalability challenge by exploiting latency monotonicity --- the architecture latency rankings on different devices are often correlated. When strong latency monotonicity exists, we can re-use architectures searched for one proxy device on new target devices, without losing optimality. In the absence of strong latency monotonicity, we propose an efficient proxy adaptation technique to significantly boost the latency monotonicity. Finally, we validate our approach and conduct experiments with devices of different platforms on multiple mainstream search spaces, including MobileNet-V2, MobileNet-V3, NAS-Bench-201, ProxylessNAS and FBNet. Our results highlight that, by using just one proxy device, we can find almost the same Pareto-optimal architectures as the existing per-device NAS, while avoiding the prohibitive cost of building a latency predictor for each device.

scholarly journals Integration of Operability Framework and Pareto Optimal Front to Calculate Optimal Condition of Ethane Cracking Process

2020 ◽  
pp. 105-113
Author(s):  
M. Farsi
Keyword(s):  
Pareto Front ◽  
Optimal Solution ◽  
Optimization Procedure ◽  
Operating Conditions ◽  
Base Case ◽  
Pareto Optimal ◽  
Multi Objective Optimization ◽  
Pareto Optimal Front ◽  
Multi Objective ◽  
Cracking Process

The main aim of this research is to present an optimization procedure based on the integration of operability framework and multi-objective optimization concepts to find the single optimal solution of processes. In this regard, the Desired Pareto Index is defined as the ratio of desired Pareto front to the Pareto optimal front as a quantitative criterion to analyze the performance of chemical processes. The Desired Pareto Front is defined as a part of the Pareto front that all outputs are improved compared to the conventional operating condition. To prove the efficiency of proposed optimization method, the operating conditions of ethane cracking process is optimized as a base case. The ethylene and methane production rates are selected as the objectives in the formulated multi-objective optimization problem. Based on the simulation results, applying the obtained operating conditions by the proposed optimization procedure on the ethane cracking process improve ethylene production by about 3% compared to the conventional condition.  

scholarly journals The forest or the trees: preference for global over local image processing is reversed by prior experience in honeybees

2015 ◽  
Vol 282 (1799) ◽  
pp. 20142384 ◽  
Author(s):  
Aurore Avarguès-Weber ◽  
Adrian G. Dyer ◽  
Noha Ferrah ◽  
Martin Giurfa
Keyword(s):  
Visual Processing ◽  
Visual Information ◽  
Visual Recognition ◽  
Spatial Configuration ◽  
Local Information ◽  
Insect Vision ◽  
Hierarchical Stimuli ◽  
Spatial Configurations ◽  
Holistic Perception ◽  
Local Cues

Traditional models of insect vision have assumed that insects are only capable of low-level analysis of local cues and are incapable of global, holistic perception. However, recent studies on honeybee ( Apis mellifera ) vision have refuted this view by showing that this insect also processes complex visual information by using spatial configurations or relational rules. In the light of these findings, we asked whether bees prioritize global configurations or local cues by setting these two levels of image analysis in competition. We trained individual free-flying honeybees to discriminate hierarchical visual stimuli within a Y-maze and tested bees with novel stimuli in which local and/or global cues were manipulated. We demonstrate that even when local information is accessible, bees prefer global information, thus relying mainly on the object's spatial configuration rather than on elemental, local information. This preference can be reversed if bees are pre-trained to discriminate isolated local cues. In this case, bees prefer the hierarchical stimuli with the local elements previously primed even if they build an incorrect global configuration. Pre-training with local cues induces a generic attentional bias towards any local elements as local information is prioritized in the test, even if the local cues used in the test are different from the pre-trained ones. Our results thus underline the plasticity of visual processing in insects and provide new insights for the comparative analysis of visual recognition in humans and animals.

Healthy Workspaces: Strategies for Increasing the Indoor Environmental Quality at Call Centre Interiors for Employee Wellbeing and Productivity

BUILDER ◽  
2021 ◽  
Vol 284 (3) ◽  
pp. 60-63
Author(s):  
Salih Ceylan
Keyword(s):  
Interior Design ◽  
Environmental Quality ◽  
Call Center ◽  
Call Centre ◽  
Indoor Environmental Quality ◽  
Interior Space ◽  
Health And Wellbeing ◽  
Interior Spaces ◽  
Certification And Accreditation ◽  
Cultural Functions

Indoor environmental quality is a requirement for good architectural and interior design. The definition of indoor environmental quality refers to the conditions of the interior space that provide health and wellbeing for its occupants. Elements of indoor environmental quality are thermal comfort, indoor air quality, ventilation, ergonomics, natural and artificial lighting, odor, and acoustic quality. Indoor environmental quality is required in every type of interior space including ones with residential, educational, and cultural functions and workspaces. It is also included as one of the factors of energy efficient and sustainable design in building energy certification and accreditation systems. This study focuses on call center interiors as a type of workspaces, where the employees spend a long time in the interior space communicating with customers on the phone. The aim is to provide theoretical information and practical application suggestions for higher quality design in call center interiors. The methodology of this paper consists firstly of a literature review to study and analyze the definition and elements of indoor environmental quality, and its implementation into call center interiors as workspaces. Analytical studies lead to strategy proposals for better designed call center interior spaces. The results of the study indicate that better designed interior spaces in call centers lead to better health and wellbeing of the employees, resulting with higher performance and service quality.

Urban Interiority: Designing interior space through the lenses of shelter, place-making and atmosphere

2021 ◽  
Author(s):  
◽  
Deborah Stace
Keyword(s):  
Interior Design ◽  
General Public ◽  
Place Making ◽  
Interior Space ◽  
Interior Architecture ◽  
Recent Growth ◽  
Space Architecture

<p>The discipline of interior architecture suffers from a lack of discipline specific theory, a definitive title and definition, and an understanding by the general public of the role and scope of this area of design. Many definitions view interior architecture (otherwise known as interior design or simply interiors) as existing only within the context of architecture. However a recent growth in interest and discussion around interiors has highlighted the fact that those within the discipline no longer view a fixed physical enclosure or architectural envelope as defining conditions of interior space. Architecture as a prerequisite to interiors has come into question, which also questions our understanding of the conditions that define interiority.  The concepts of shelter, place and atmosphere have been identified as contributing to an understanding of interior space. This research uses these three concepts as ‘lenses’ which contribute to an understanding of alternative ways of experiencing and designing interior space. The program of a bus shelter has been selected in order to test how these concepts can create an experience of interiority in a form that is not conventionally understood as interior space.</p>

Information Technology for the Coordinated Control of Unmanned Aerial Vehicle Teams Based on the Scenario-Case Approach

2019 ◽  
pp. 221-248
Author(s):  
Vladimir Sherstjuk ◽  
Maryna Zharikova
Keyword(s):  
Information Technology ◽  
Computational Complexity ◽  
Unmanned Aerial Vehicles ◽  
Spatial Configuration ◽  
Coordinated Control ◽  
Aerial Vehicles ◽  
Dynamic Scenario ◽  
Spatial Configurations ◽  
Aerial Vehicle ◽  
Coordination Patterns

The authors present a dynamic scenario-case approach to coordinated control of heterogeneous ensembles of unmanned aerial vehicles, which use coordination patterns of activity in similar situations described as spatial configurations affected by observed events. The method of obtaining deviations for approximate spatial configurations, which allows obtaining elements of the safe vehicle's trajectories. The method of qualitative safety assessment is presented. It uses a soft level topology to obtaining blurred boundaries of dynamic safety domains using fuzzy soft level sets and allows finding suitable compensations of vehicles' activity scenarios that can both keep the spatial configuration and satisfy all safety restrictions. The authors demonstrate that the proposed approach significantly reduces the computational complexity of problem solving and provides the acceptable performance.

Information Technology for the Coordinated Control of Unmanned Aerial Vehicle Teams Based on the Scenario-Case Approach

2021 ◽  
pp. 1133-1161
Author(s):  
Vladimir Sherstjuk ◽  
Maryna Zharikova
Keyword(s):  
Information Technology ◽  
Computational Complexity ◽  
Unmanned Aerial Vehicles ◽  
Spatial Configuration ◽  
Coordinated Control ◽  
Aerial Vehicles ◽  
Dynamic Scenario ◽  
Spatial Configurations ◽  
Aerial Vehicle ◽  
Coordination Patterns

The authors present a dynamic scenario-case approach to coordinated control of heterogeneous ensembles of unmanned aerial vehicles, which use coordination patterns of activity in similar situations described as spatial configurations affected by observed events. The method of obtaining deviations for approximate spatial configurations, which allows obtaining elements of the safe vehicle's trajectories. The method of qualitative safety assessment is presented. It uses a soft level topology to obtaining blurred boundaries of dynamic safety domains using fuzzy soft level sets and allows finding suitable compensations of vehicles' activity scenarios that can both keep the spatial configuration and satisfy all safety restrictions. The authors demonstrate that the proposed approach significantly reduces the computational complexity of problem solving and provides the acceptable performance.

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