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Article
Publication date: 21 July 2021

Aristofanis Soulikias, Carmela Cucuzzella, Firdous Nizar, Morteza Hazbei and Sherif Goubran

Highly sophisticated digital technologies have distanced architects and designers from intimate and immediate hand-drawing practices. Meanwhile the changes they rapidly…

Abstract

Purpose

Highly sophisticated digital technologies have distanced architects and designers from intimate and immediate hand-drawing practices. Meanwhile the changes they rapidly bring come with undetected changes in cultural and social norms regarding the built environment. The growing dependence on computers calls for a more holistic, socially inclusive and place-responsive design practice. This paper aims to shed light on what we are losing in the design process as we rapidly transition to communicate architecture using digital media. The authors contemplate the paradigms in which the human body and physical objects still play an important role in today's design environment.

Design/methodology/approach

The paper looks at current trends in developing and establishing “computer imaging” within architectural education, and the architectural profession through parametric design and the area of sustainability. In order to reveal novel and hybrid ways of architectural image-making, it also looks into art forms that already experiment with bodily practices in design by taking an artisanal animation project as a case study.

Findings

The renewed longing for craft, haptic environments, tactile experiences and hand-crafted artifacts and artworks that engage the senses can be exemplified with the success of the documentary Last Dance on the Main, an animated film on the endangered layers of human presence in one of Montreal's downtown neighborhoods. The open possibilities for creative hybridizations between the handmade and the digital in architecture practice and education are exposed.

Originality/value

The influence of film on the perception and consequent design of cities is well documented. There is little literature, however, on how the materiality and process of artisanal film animation can provide alternative, if not additional, insights on how to communicate various aspects of the built environment, particularly those rooted in the human body. Furthermore, handmade film explores a broader understanding of sustainability, which includes considerations for social and cultural contexts.

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Article
Publication date: 3 September 2021

Salman Tariq, Mohamed Hussein, Roy Dong Wang and Tarek Zayed

This study aims to thoroughly examine the trends and developments of crane layout planning (CLP) in the construction field and reveal future research directions for…

Abstract

Purpose

This study aims to thoroughly examine the trends and developments of crane layout planning (CLP) in the construction field and reveal future research directions for modular integrated construction (MiC).

Design/methodology/approach

Through a rigorous systematic mixed-review methodology that integrates bibliometric, scientometric and qualitative analysis, this study explored the crane layout research trend; the scientometric analysis of journal sources and keywords occurrence network; the research contributions and links between influential countries; the classification of research articles based on the type of problems and solution approaches; the qualitative analysis of existing findings and research gaps; and the future research direction for CLP in MiC.

Findings

This study found five categories under the CLP domain, namely, crane selection, crane location, integrated crane selection and location, integrated crane location and allocation of supply points and hybrid problems. The major research approaches used to solve CLP is optimization (43%), visualization (23%), decision support systems (16%), simulation (11%) and qualitative techniques (7%). The possible future research directions include artificial intelligence-based models, multi-crane locations, CLP for MiC re-use, dynamic models representing real-life scenarios and building information modeling-based virtual reality models.

Originality/value

Through a mixed-review methodology, this study provides a comprehensive analysis of problem settings and solution methods of CLP while mitigating the subjectivity of traditional review methods. Also, it presents a repertoire on CLP and illuminates future directions for seasoned researchers in the context of MiC.

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Article
Publication date: 10 September 2019

Aikaterini Soumelidou and Aggeliki Tsohou

The purpose of this paper is to propose visualization techniques as a new representation for privacy policies instead of traditional textual representation and to examine…

Abstract

Purpose

The purpose of this paper is to propose visualization techniques as a new representation for privacy policies instead of traditional textual representation and to examine empirically their effects on users’ information privacy awareness level.

Design/methodology/approach

The authors selected as a case the privacy policy of Instagram and conducted two empirical investigations, each one with three interventions and each representing a different version of the Instagram privacy policy to users. Through a pre- and a post-questionnaire, the authors examined the effects that each representation technique had on the users’ privacy awareness level.

Findings

The paper finds that visualized privacy policies lead to higher privacy awareness levels than conventional textual ones, especially when icons are included.

Research limitations/implications

The authors implemented two new representation techniques offering beneficial guidelines for designing more attractive privacy policy representations. However, the samples are rather limited for generalization to the wide population; nonetheless, they are significant to demonstrate the effect of visualized techniques. The findings might also be subject to bias (e.g. brand bias), although the authors took necessary methodological actions to prevent bias.

Practical implications

The results and the methodology of the paper could guide practitioners for the representation of a privacy policy, given that the authors provide systematic and concrete steps.

Originality/value

This paper examines the value of privacy policy visualization as a new approach for enabling user privacy awareness, as well as implements two visualization techniques for a given privacy policy. The paper and its findings should be useful for researchers, as well as for practitioners.

Details

Information Technology & People, vol. 33 no. 2
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 1 August 1999

William McCluskey and Sarabjot Anand

Hybrid systems as the next generation of intelligent applications within the field of mass appraisal and valuation are investigated. Motivated by the obvious limitations…

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Abstract

Hybrid systems as the next generation of intelligent applications within the field of mass appraisal and valuation are investigated. Motivated by the obvious limitations of paradigms that are being used in isolation or as stand‐alone techniques such as multiple regression analysis, artificial neural networks and expert systems. Clearly, there are distinct advantages in integrating two or more information processing systems that would address some of the discrete problems of individual techniques. Examines first, the strategic development of mass appraisal approaches which have traditionally been based on “stand‐alone” techniques; second, the potential application of an intelligent hybrid system. Highlights possible solutions by investigating various hybrid systems that may be developed incorporating a nearest neighbour algorithm (k‐NN). The enhancements are aimed at two major deficiencies in traditional distance metrics; user dependence for attribute weights and biases in the distance metric towards matching categorical variables in the retrieval of neighbours. Solutions include statistical techniques: mean, coefficient of variation and significant mean. Data mining paradigms based on a loosely coupled neural network or alternatively a tight coupling with genetic algorithms are used to discover attribute weights. The hybrid architectures developed are applied to a property data set and their performance measured based on their predictive value as well as perspicuity. Concludes by considering the application and the relevance of these techniques within the field of computer assisted mass appraisal.

Details

Journal of Property Investment & Finance, vol. 17 no. 3
Type: Research Article
ISSN: 1463-578X

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Article
Publication date: 1 June 2003

Jaroslav Mackerle

This paper gives a bibliographical review of the finite element and boundary element parallel processing techniques from the theoretical and application points of view…

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1012

Abstract

This paper gives a bibliographical review of the finite element and boundary element parallel processing techniques from the theoretical and application points of view. Topics include: theory – domain decomposition/partitioning, load balancing, parallel solvers/algorithms, parallel mesh generation, adaptive methods, and visualization/graphics; applications – structural mechanics problems, dynamic problems, material/geometrical non‐linear problems, contact problems, fracture mechanics, field problems, coupled problems, sensitivity and optimization, and other problems; hardware and software environments – hardware environments, programming techniques, and software development and presentations. The bibliography at the end of this paper contains 850 references to papers, conference proceedings and theses/dissertations dealing with presented subjects that were published between 1996 and 2002.

Details

Engineering Computations, vol. 20 no. 4
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 16 January 2020

Mokhtar Ferhi and Ridha Djebali

This paper aims to perform the lattice Boltzmann simulation of conjugate natural convection heat transfer, heat flow visualization via heatlines approach and entropy…

Abstract

Purpose

This paper aims to perform the lattice Boltzmann simulation of conjugate natural convection heat transfer, heat flow visualization via heatlines approach and entropy generation in a partitioned medium filled with Ag-MgO (15-85%)/water.

Design/methodology/approach

The lattice Boltzmann method (LBM) is used to predict the dynamic and thermal behaviors. Experimental correlations for dynamic viscosity and thermal conductivity versus solid volume fraction are used. The study is conducted for the ranges of Rayleigh number 103 ≤ Ra ≤ 106, the partitioner thickness 0.01 ≤ δ ≤ 0.9, its position 0.15 ≤ Xs ≤ 0.85 and the hybrid nano-suspensions volume fraction 0% ≤ ϕ ≤ 2%.

Findings

The effects of varying of controlling parameters on the convective flow patterns, temperature contours, heat transfers, the heatlines and the entropy generation are presented. It has been found that the maximum rate of heat transfer enhancement occurs for low Ra numbers (103) and is close to 13.52%. The solid thickness d and its horizontal position Xs have a substantial influence on the heat transfer rate, flow structure, heatline, total entropy generation and Bejan number. Besides, the maximum heat transfer is detected for high Ra and δ ≈ 1 and the percentage of augmentation is equal to 65.55% for ϕ = 2%. According to the horizontal position, the heat transfer remains invariant for Ra = 103 and takes a maximum value near the active walls for Ra ≥ 104. The total entropy generation increases with Ra and decreases with ϕ for Ra = 106. The increase of ϕ from 0 to 2% leads to a reduction in close to 40.76%. For this value of Ra, the entropy is the maximum for δ = 0.4 and Xs = 0.35 and Xs = 0.65%. Moreover, as the Ra increases the Bejan number undergoes a decrease. The Bejan number is the maximum for Ra = 103 independently to δ and Xs. The superior thermal performance manifests at low Ra and high value of δ independently to the positions of the conducting body.

Originality/value

The originality of this paper is to analyze the hybrid nano-additive effects on the two-dimensional conjugate natural convection in a partitioned medium using the LBM. The experimental correlations used for the effective thermal conductivity and dynamic viscosity give credibility to our study. Different approaches such as heatlines and entropy generation are used.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 30 no. 10
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 15 March 2018

Fatemeh Alyari and Nima Jafari Navimipour

This paper aims to identify, evaluate and integrate the findings of all relevant and high-quality individual studies addressing one or more research questions about…

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1444

Abstract

Purpose

This paper aims to identify, evaluate and integrate the findings of all relevant and high-quality individual studies addressing one or more research questions about recommender systems and performing a comprehensive study of empirical research on recommender systems that have been divided into five main categories. To achieve this aim, the authors use systematic literature review (SLR) as a powerful method to collect and critically analyze the research papers. Also, the authors discuss the selected recommender systems and its main techniques, as well as their benefits and drawbacks in general.

Design/methodology/approach

In this paper, the SLR method is utilized with the aim of identifying, evaluating and integrating the findings of all relevant and high-quality individual studies addressing one or more research questions about recommender systems and performing a comprehensive study of empirical research on recommender systems that have been divided into five main categories. Also, the authors discussed recommender system and its techniques in general without a specific domain.

Findings

The major developments in categories of recommender systems are reviewed, and new challenges are outlined. Furthermore, insights on the identification of open issues and guidelines for future research are provided. Also, this paper presents the systematical analysis of the recommender system literature from 2005. The authors identified 536 papers, which were reduced to 51 primary studies through the paper selection process.

Originality/value

This survey will directly support academics and practical professionals in their understanding of developments in recommender systems and its techniques.

Details

Kybernetes, vol. 47 no. 5
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 14 June 2019

Ali Ahmed, John Page and John Olsen

This paper aims to compare the prognostic and visualisation capabilities of all the three simulation paradigms to identify their suitability and rigor in eliminating…

Abstract

Purpose

This paper aims to compare the prognostic and visualisation capabilities of all the three simulation paradigms to identify their suitability and rigor in eliminating weaknesses and bottlenecks in a Lean Six Sigma (LSS) project.

Design/methodology/approach

The paper uses an light-emitting diode (LED) factory as a business case to show the differences and advantages of using three different simulation techniques to solve a manufacturing problem.

Findings

Even though this is only one business case that shows how system dynamics (SD) can be effective in a Six Sigma manufacturing project, more examples are needed to validate this hypothesis within Six Sigma and Lean manufacturing fields. Even though, discrete-events (DE) and agent-based (AB) models are both equally well suited to develop the manufacturing processes and the choice of what to use may be arbitrarily dependent on the available software or the preference of the modeller, hybrid models seem to become extremely powerful. Therefore, more hybrid models need to be constructed within LSS (especially when a flowchart and a SIPOC ((Suppliers, Inputs, Process, Outputs and Customers) table are combined to develop a hybrid model) to achieve the most accurate results with accurate representation of reality.

Originality/value

There are three commonly used simulation techniques, DE, AB and SD, but choosing the right simulation methodology has often been a challenge.

Details

International Journal of Lean Six Sigma, vol. 11 no. 3
Type: Research Article
ISSN: 2040-4166

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Article
Publication date: 3 August 2015

Diego C. Knupp, Carolina Palma Naveira-Cotta, Adrian Renfer, Manish K. Tiwari, Renato M Cotta and Dimos Poulikakos

The purpose of this paper is to employ the Generalized Integral Transform Technique in the analysis of conjugated heat transfer in micro-heat exchangers, by combining this…

Abstract

Purpose

The purpose of this paper is to employ the Generalized Integral Transform Technique in the analysis of conjugated heat transfer in micro-heat exchangers, by combining this hybrid numerical-analytical approach with a reformulation strategy into a single domain that envelopes all of the physical and geometric sub-regions in the original problem. The solution methodology advanced is carefully validated against experimental results from non-intrusive techniques, namely, infrared thermography measurements of the substrate external surface temperatures, and fluid temperature measurements obtained through micro Laser Induced Fluorescence.

Design/methodology/approach

The methodology is applied in the hybrid numerical-analytical treatment of a multi-stream micro-heat exchanger application, involving a three-dimensional configuration with triangular cross-section micro-channels. Space variable coefficients and source terms with abrupt transitions among the various sub-regions interfaces are then defined and incorporated into this single domain representation for the governing convection-diffusion equations. The application here considered for analysis is a multi-stream micro-heat exchanger designed for waste heat recovery and built on a PMMA substrate to allow for flow visualization.

Findings

The methodology here advanced is carefully validated against experimental results from non-intrusive techniques, namely, infrared thermography measurements of the substrate external surface temperatures and fluid temperature measurements obtained through Laser Induced Fluorescence. A very good agreement among the proposed hybrid methodology predictions, a finite elements solution from the COMSOL code, and the experimental findings has been achieved. The proposed methodology has been demonstrated to be quite flexible, robust, and accurate.

Originality/value

The hybrid nature of the approach, providing analytical expressions in all but one independent variable, and requiring numerical treatment at most in one single independent variable, makes it particularly well suited for computationally intensive tasks such as in optimization, inverse problem analysis, and simulation under uncertainty.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 25 no. 6
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 29 July 2014

Chih-Fong Tsai and Chihli Hung

Credit scoring is important for financial institutions in order to accurately predict the likelihood of business failure. Related studies have shown that machine learning…

Abstract

Purpose

Credit scoring is important for financial institutions in order to accurately predict the likelihood of business failure. Related studies have shown that machine learning techniques, such as neural networks, outperform many statistical approaches to solving this type of problem, and advanced machine learning techniques, such as classifier ensembles and hybrid classifiers, provide better prediction performance than single machine learning based classification techniques. However, it is not known which type of advanced classification technique performs better in terms of financial distress prediction. The paper aims to discuss these issues.

Design/methodology/approach

This paper compares neural network ensembles and hybrid neural networks over three benchmarking credit scoring related data sets, which are Australian, German, and Japanese data sets.

Findings

The experimental results show that hybrid neural networks and neural network ensembles outperform the single neural network. Although hybrid neural networks perform slightly better than neural network ensembles in terms of predication accuracy and errors with two of the data sets, there is no significant difference between the two types of prediction models.

Originality/value

The originality of this paper is in comparing two types of advanced classification techniques, i.e. hybrid and ensemble learning techniques, in terms of financial distress prediction.

Details

Kybernetes, vol. 43 no. 7
Type: Research Article
ISSN: 0368-492X

Keywords

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