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Article
Publication date: 4 July 2008

Stephen D. Unwin, Barbara A. Fecht and Theresa M. Bergsman

The purpose of this paper is to establish novel business metrics of laboratory space utilization for a large, multi‐client R&D organization and to describe their use in…

Abstract

Purpose

The purpose of this paper is to establish novel business metrics of laboratory space utilization for a large, multi‐client R&D organization and to describe their use in space planning to meet strategic objectives. The paper aims to show that traditional methods for measuring and managing laboratory space utilization are impractical in a dynamic environment where there are frequent and significant changes in the use of the space.

Design/methodology/approach

The integration of disparate databases – financial, facilities management, and project R&D – enables financial performance data to be explicitly resolved to individual laboratory resources. In turn, this allows determination of the efficiency with which laboratory space is being utilized in meeting the organization's financial and strategic objectives.

Findings

Unique and actionable insights were generated in applying the methodology. It provided bases for the identification of both over‐ and under‐utilized laboratory spaces, as well as the means of assessing the efficacy with which space assets are being used in achieving the organization's strategic missions.

Practical implications

This departure from more conventional concepts of occupancy‐based metrics of space utilization treats R&D laboratory space explicitly as a business resource.

Originality/value

The emerging business‐based metrics of lab space utilization are proving to be increasingly valuable tools in both short‐term and strategic space planning.

Details

Facilities, vol. 26 no. 9/10
Type: Research Article
ISSN: 0263-2772

Keywords

Content available
Article
Publication date: 9 February 2021

Godwin Amechi Okeke and Daniel Francis

The authors prove the existence and uniqueness of fixed point of mappings satisfying Geraghty-type contractions in the setting of preordered modular G-metric spaces. The…

Abstract

Purpose

The authors prove the existence and uniqueness of fixed point of mappings satisfying Geraghty-type contractions in the setting of preordered modular G-metric spaces. The authors apply the results in solving nonlinear Volterra-Fredholm-type integral equations. The results extend generalize compliment and include several known results as special cases.

Design/methodology/approach

The results of this paper are theoretical and analytical in nature.

Findings

The authors prove the existence and uniqueness of fixed point of mappings satisfying Geraghty-type contractions in the setting of preordered modular G-metric spaces. apply the results in solving nonlinear Volterra-Fredholm-type integral equations. The results extend, generalize, compliment and include several known results as special cases.

Research limitations/implications

The results are theoretical and analytical.

Practical implications

The results were applied to solving nonlinear integral equations.

Social implications

The results has several social applications.

Originality/value

The results of this paper are new.

Details

Arab Journal of Mathematical Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1319-5166

Keywords

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Article
Publication date: 8 April 2021

Bhumeshwar Patle, Shyh-Leh Chen, Brijesh Patel, Sunil Kumar Kashyap and Sudarshan Sanap

With the increasing demand for surveillance and smart transportation, drone technology has become the center of attraction for robotics researchers. This study aims to…

Abstract

Purpose

With the increasing demand for surveillance and smart transportation, drone technology has become the center of attraction for robotics researchers. This study aims to introduce a new path planning approach to drone navigation based on topology in an uncertain environment. The main objective of this study is to use the Ricci flow evolution equation of metric and curvature tensor over angular Riemannian metric, and manifold for achieving navigational goals such as path length optimization at the minimum required time, collision-free obstacle avoidance in static and dynamic environments and reaching to the static and dynamic goals. The proposed navigational controller performs linearly and nonlinearly both with reduced error-based objective function by Riemannian metric and scalar curvature, respectively.

Design/methodology/approach

Topology and manifolds application-based methodology establishes the resultant drone. The trajectory planning and its optimization are controlled by the system of evolution equation over Ricci flow entropy. The navigation follows the Riemannian metric-based optimal path with an angular trajectory in the range from 0° to 360°. The obstacle avoidance in static and dynamic environments is controlled by the metric tensor and curvature tensor, respectively. The in-house drone is developed and coded using C++. For comparison of the real-time results and simulation results in static and dynamic environments, the simulation study has been conducted using MATLAB software. The proposed controller follows the topological programming constituted with manifold-based objective function and Riemannian metric, and scalar curvature-based constraints for linear and nonlinear navigation, respectively.

Findings

This proposed study demonstrates the possibility to develop the new topology-based efficient path planning approach for navigation of drone and provides a unique way to develop an innovative system having characteristics of static and dynamic obstacle avoidance and moving goal chasing in an uncertain environment. From the results obtained in the simulation and real-time environments, satisfactory agreements have been seen in terms of navigational parameters with the minimum error that justifies the significant working of the proposed controller. Additionally, the comparison of the proposed navigational controller with the other artificial intelligent controllers reveals performance improvement.

Originality/value

In this study, a new topological controller has been proposed for drone navigation. The topological drone navigation comprises the effective speed control and collision-free decisions corresponding to the Ricci flow equation and Ricci curvature over the Riemannian metric, respectively.

Details

Industrial Robot: the international journal of robotics research and application, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0143-991X

Keywords

Content available
Article
Publication date: 5 January 2021

Sushanta Kumar Mohanta

In this paper, we use the notion of cyclic representation of a nonempty set with respect to a pair of mappings to obtain coincidence points and common fixed points for a…

Abstract

Purpose

In this paper, we use the notion of cyclic representation of a nonempty set with respect to a pair of mappings to obtain coincidence points and common fixed points for a pair of self-mappings satisfying some generalized contraction- type conditions involving a control function in partial metric spaces. Moreover, we provide some examples to analyze and illustrate our main results.

Design/methodology/approach

Theoretical method.

Findings

We establish some coincidence points and common fixed point results in partial metric spaces.

Originality/value

Results of this study are new and interesting.

Details

Arab Journal of Mathematical Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1319-5166

Keywords

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Article
Publication date: 13 June 2019

Ahmet Türel and Elmira Ayşe Gür

The relationship between the child and his/her physical environment is an area of interaction that includes social, psychological and cultural factors along with the…

Abstract

Purpose

The relationship between the child and his/her physical environment is an area of interaction that includes social, psychological and cultural factors along with the spatial experience, perception and behavior of the child. This study is based on the effects of spatial perception and behavior of the child within the physical environment of primary schools. In this direction, the purpose of this paper is to investigate how spatial and physical characteristics of primary school typologies affect the spatial perception and behavior of the child. Also, the parameters affecting spatial perception and behavior are examined.

Design/methodology/approach

The question to be investigated is how the spatial and physical characteristics of the school’s physical environment affect the child’s spatial perception and behavior in primary schools with different typologies. Within this scope, Istanbul’s Kagithane region is selected as a case study. Schools are chosen for their similar spatial and dimensional features and similar socio-economic environment. The methodology of the study consists of a literature review, an observational study carried out to discover the interaction between the child and his/her school building and the analysis of the student’s cognitive maps. These maps were evaluated according to topological, projective, metric and imaginative parameters.

Findings

The results show spatial organization and physical characteristics of primary school buildings with a structure that allows for change and transformation, and contributes to the physical and cognitive development of children.

Originality/value

This study will provide an opportunity to develop the design of future primary school buildings that can support the spatial perception and spatial experiences of the children.

Details

Archnet-IJAR: International Journal of Architectural Research, vol. 13 no. 2
Type: Research Article
ISSN: 2631-6862

Keywords

Content available
Article
Publication date: 22 February 2019

H. Fukhar-ud-din and A.R. Khan

The purpose of this paper is to introduce the implicit midpoint rule (IMR) of nonexpansive mappings in 2- uniformly convex hyperbolic spaces and study its convergence…

Abstract

The purpose of this paper is to introduce the implicit midpoint rule (IMR) of nonexpansive mappings in 2- uniformly convex hyperbolic spaces and study its convergence. Strong and -convergence theorems based on this algorithm are proved in this new setting. The results obtained hold concurrently in uniformly convex Banach spaces, CAT(0) spaces and Hilbert spaces as special cases.

Details

Arab Journal of Mathematical Sciences, vol. 26 no. 1/2
Type: Research Article
ISSN: 1319-5166

Keywords

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Article
Publication date: 29 November 2019

Patrick Lecomte

As smart technologies become an integral part of real estate in smart cities, the purpose of this paper is to explore the impact of ubiquitous computing on space users in…

Abstract

Purpose

As smart technologies become an integral part of real estate in smart cities, the purpose of this paper is to explore the impact of ubiquitous computing on space users in smart real estate.

Design/methodology/approach

The analysis builds on two fields of knowledge rarely referenced in real estate studies: computer sciences and social sciences. The paper starts by analysing the idiosyncrasies of a new type of space user in smart real estate, known as the Cyber-dasein in reference to Heidegger’s phenomenology. The Cyber-dasein serves as an archetypical space user in smart environments.

Findings

The paper introduces digital-time as a new realm of real estate, and discusses the use of “experienced utility” in hedonic pricing models of smart real estate. It concludes by advocating a multidisciplinary collaborative approach for future research on real estate in smart environments.

Practical implications

There is a need for the real estate sector to decide on a metric for the new digital dimension of real estate owing to the implementation of smart technologies in the built environment.

Originality/value

This is the first research paper on this important topic. It is totally original and new.

Details

Journal of Property Investment & Finance, vol. 38 no. 4
Type: Research Article
ISSN: 1463-578X

Keywords

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Article
Publication date: 23 November 2012

Caroline M. Clevenger and John R. Haymaker

Advanced design strategies supported by iterative engineering performance calculations expand the number of alternatives designers can analyze by orders of magnitude. Yet…

Abstract

Purpose

Advanced design strategies supported by iterative engineering performance calculations expand the number of alternatives designers can analyze by orders of magnitude. Yet, in the face of vast, under‐constrained design challenges with wide ranging and sometimes ill‐defined implications related to sustainability, it is not possible to replace building design with automated search. The purpose of this paper is to assist designers in their selection of strategies that have been shown to be effective in promoting sustainability.

Design/methodology/approach

This paper applies and extends the design exploration assessment methodology (DEAM) to compare the value of distinct design strategies. The authors use DEAM to demonstrate that designers face non‐trivially distinct challenges, even in the well‐defined arena of design for energy efficiency. They next evaluate and compare the effectiveness of strategies such as point‐analysis, screening, trend analysis, and optimization. They identify associated process costs, and extend DEAM to assess the relative value of information that each strategy provides for a given challenge.

Findings

Findings empirically rank six strategies for two challenges and demonstrate the relatively high value of trend analysis for energy‐efficient design.

Originality/value

The implication of the findings is that advanced computer analysis strategies should be pursued to support high performance, energy‐efficient design. Such conclusions motivate future research to assess the value of various strategies in the context of the broad and qualitative fields of sustainable design and development.

Details

Smart and Sustainable Built Environment, vol. 1 no. 3
Type: Research Article
ISSN: 2046-6099

Keywords

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Article
Publication date: 1 October 2003

Michel Bounias and Volodymyr Krasnoholovets

Some necessary and sufficient conditions allowing a previously unknown space to be explored through scanning operators are reexamined with respect to measure theory. Some…

Abstract

Some necessary and sufficient conditions allowing a previously unknown space to be explored through scanning operators are reexamined with respect to measure theory. Some generalized concepts of distances and dimensionality evaluation are proposed, together with their conditions of validity and range of application to topological spaces. The existence of a Boolean lattice with fractal properties originating from non‐wellfounded properties of the empty set is demonstrated. This lattice provides a substratum with both discrete and continuous properties from which existence of physical universes can be proved, up to the function of conscious perception. Space‐time emerges as an ordered sequence of mappings of closed 3D Poincaré sections of a topological four‐space provided by the lattice, and the function of conscious perception is founded on the same properties. Self‐evaluation of a system is possible against indecidability barriers through anticipatory mental imaging occurring in biological brain systems; then our embedding universe should be in principle accessible to knowledge. The possibility of existence of spaces with fuzzy dimension or with adjoined parts with decreasing dimensions is raised, together with possible tools for their study. The work presented here provides the introductory foundations supporting a new theory of space whose physical predictions (suppressing the opposition of quantum and relativistic approaches) and experimental proofs are presented in detail in Parts 2 and 3 of the study.

Details

Kybernetes, vol. 32 no. 7/8
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 1 October 2019

Hamed Farrokhi-Asl, Ahmad Makui, Roozbeh Ghousi and Masoud Rabbani

In recent years, governmental regulations and the pressure of non-governmental organizations have convinced corporations to consider sustainable issues in their decisions…

Abstract

Purpose

In recent years, governmental regulations and the pressure of non-governmental organizations have convinced corporations to consider sustainable issues in their decisions. A simultaneous design of forward and reverse logistics can keep us away from sub-optimality caused by tackling these two phases (forward and reverse logistics) separately.

Design/methodology/approach

Hence, this paper presents a new multi-objective mathematical model for integrated forward and reverse logistics regarding economic, environmental and social issues. A new hybrid multi-objective metaheuristic algorithm is developed to obtain a set of efficient solutions (Pareto solutions). The proposed algorithm hybridizes a well-known, non-dominated genetic algorithm (NSGA-II) with a simulated annealing algorithm.

Findings

To validate the algorithm, its results are compared to the obtained solutions from simple NSGA-II with respect to some comparison metrics. The numerical results show the efficiency of the proposed algorithm. Finally, concluding remarks and future research directions are provided.

Originality/value

By applying a model presented in this paper, one can reach to sustainable and integrated logistics network which considers forward and reverse flow of commodities simultaneously.

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