D.C.W. Ho, H.F. Leung, S.K. Wong, A.K.C. Cheung, S.S.Y. Lau, W.S. Wong, D.P.Y. Lung and K.W. Chau
The recent global outbreak of Severe Acute Respiratory Syndrome has aroused public concern on environmental health and hygiene. Develops a practical assessment scheme for…
Abstract
The recent global outbreak of Severe Acute Respiratory Syndrome has aroused public concern on environmental health and hygiene. Develops a practical assessment scheme for assessing the health and hygiene performance of apartment buildings in Hong Kong. The scheme involves assessing a hierarchy of building factors that have a bearing on environmental qualities, and thus occupants’ health. Proposes an index method to integrate the assessment outcomes into a simple and user‐ friendly performance indicator for public consumption. The index can inform the public of the health and hygiene risk of different buildings and facilitate building owners, developers, and government bodies to make more informed and socially responsible decisions on environmental health and hygiene improvement. Although the assessment scheme is tailored for the institutional and cultural settings of Hong Kong, the assessment framework for the development of the scheme is also applicable to other cities.
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Mei-yung Leung, Jingyu Yu, Chen Dongyu and Ting Yuan
The paper aims to investigate the key components of facilities management (FM) in care and attention (C & A) homes from the end users’ perspective based on a post-occupancy…
Abstract
Purpose
The paper aims to investigate the key components of facilities management (FM) in care and attention (C & A) homes from the end users’ perspective based on a post-occupancy evaluation method. Hong Kong is a rapidly ageing society. Elderly population may reach 24.3 per cent in the next 20 years, causing an increase in the demand for care services. Therefore, it is necessary to provide sufficient and satisfactory residential C & A homes with appropriate facilities for our elderly.
Design/methodology/approach
To collect subjective data from end users, a questionnaire survey was conducted in 119 respondents consisting of both elderly residents and staff of the C & A homes. To further understand the actual situations, site measurements were also used to collect the objective data from the representative homes.
Findings
The results indicate that three aspects of key FM components, namely, architect, building services and supporting, all have significant relationships with the overall satisfaction. The site measurements further revealed the actual environment of the seven C & A homes, especially the contrasts between homes with highest scores (Homes E and F) and lowest scores (B and D).
Practical implications
To provide a clear picture to the government and construction professionals, a number of practical recommendations were proposed, such as sufficient space with single or couple bedrooms, sufficient corridor width for two people in wheelchairs and white or pink as the colour scheme in architectural aspect; sufficient lighting, central air conditioning system and adequate quantities of natural fresh air in the building service aspect; and frequently updated menus, door lock and CCTV system for supporting facilities.
Originality/value
This paper applied site measurement on the representative homes to cross-check the quantitative results. The findings of this study can assist architects and facilities managers in C & A homes to improve FM services during the design and operational stages for improving the satisfaction levels of elderly residents.
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S.K. Wong, A.K.C. Cheung, Y. Yau, D.C.W. Ho and K.W. Chau
The most fundamental requirement of a habitable building is that its occupants can live in it healthily and safely. However, given the proliferation of building‐related accidents…
Abstract
Purpose
The most fundamental requirement of a habitable building is that its occupants can live in it healthily and safely. However, given the proliferation of building‐related accidents recently in Hong Kong, the extent to which our buildings have fulfilled this basic requirement is doubtful. For the benefit of the entire society, more public information on building quality is needed. Aims to address this issue.
Design/methodology/approach
This paper extends the Ho et al. assessment model to evaluate the combined health and safety performance of residential buildings in Hong Kong. The model consists of a set of performance‐based objectives and can be translated into a hierarchy of parameters concerning the quality of building design, building management, and the surrounding environment. A total of 99 residential buildings in two urban areas, namely Mongkok and Tsimshatsui, were assessed with the help of a simple and user‐friendly performance indicator called the Building Quality Index (BQI).
Findings
The comparative analysis showed that the overall health and safety performance varied significantly with building age and development scale. Building location did not matter in overall performance, but became relevant in disaggregate performances regarding the external environment and building management approaches.
Research limitations/implications
In theory, building management and building location are not related. Further research is needed to disentangle the management effect from the location effect.
Practical implications
The assessment method is a simple and cost‐effective screening tool for mass building assessment at the city level. It can also be used for classifying buildings into different grades in respect of health and safety, providing incentives to building owners, developers, and government bodies to improve the living environment.
Originality/value
The study contributes to a better understanding of the relationship between building performance and its physical characteristics, including location, age, and development scale, in a densely populated high‐rise urban area.
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This bibliography is offered as a practical guide to published papers, conference proceedings papers and theses/dissertations on the finite element (FE) and boundary element (BE…
Abstract
This bibliography is offered as a practical guide to published papers, conference proceedings papers and theses/dissertations on the finite element (FE) and boundary element (BE) applications in different fields of biomechanics between 1976 and 1991. The aim of this paper is to help the users of FE and BE techniques to get better value from a large collection of papers on the subjects. Categories in biomechanics included in this survey are: orthopaedic mechanics, dental mechanics, cardiovascular mechanics, soft tissue mechanics, biological flow, impact injury, and other fields of applications. More than 900 references are listed.
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Damian Tago, Henrik Andersson and Nicolas Treich
This study contributes to the understanding of the health effects of pesticides exposure and of how pesticides have been and should be regulated.
Abstract
Purpose
This study contributes to the understanding of the health effects of pesticides exposure and of how pesticides have been and should be regulated.
Design/methodology/approach
This study presents literature reviews for the period 2000–2013 on (i) the health effects of pesticides and on (ii) preference valuation of health risks related to pesticides, as well as a discussion of the role of benefit-cost analysis applied to pesticide regulatory measures.
Findings
This study indicates that the health literature has focused on individuals with direct exposure to pesticides, i.e. farmers, while the literature on preference valuation has focused on those with indirect exposure, i.e. consumers. The discussion highlights the need to clarify the rationale for regulating pesticides, the role of risk perceptions in benefit-cost analysis, and the importance of inter-disciplinary research in this area.
Originality/value
This study relates findings of different disciplines (health, economics, public policy) regarding pesticides, and identifies gaps for future research.
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Hong Kok Wang, Cheong Peng Au-Yong, Gabriel Hoh Teck Ling and Kian Aun Law
Under Malaysian Law, the maintenance and management of common property have traditionally been viewed as insoluble challenges in the self-organisational efforts for high-rise…
Abstract
Purpose
Under Malaysian Law, the maintenance and management of common property have traditionally been viewed as insoluble challenges in the self-organisational efforts for high-rise low-cost housing developments. As the population increases, more shared resources become heavily exploited with few willing to contribute towards the sustainability of resources. Many researchers argued a better way would be to convert these shared resources into a private or state-managed entity. Hence, with that assumption, this paper aims to examine how better physical characteristics can result in greater collective action.
Design/methodology/approach
This research paper adopted a quantitative method approach to determine how the standard of physical characteristics influenced the quality of collective action in high-rise low-cost housing. The method included a questionnaire survey of 519 parcel holders chosen via stratified purposeful random sampling from four high-rise low-cost housing areas.
Findings
The paper found a positive correlation between the quality of physical characteristics and the collective action gained. The findings highlighted that the standard of workmanship of high-rise low-cost units (including the common properties), the crime rate in the neighbourhood and the condition of lift systems – when improved – were significant positive predictors of collective action.
Practical implications
Housing developers should pay attention to the quality of both low-cost units and related common properties, as this endeavour will assist greatly in future collective action management.
Originality/value
The study was justified in terms of its originality as few research studies adopted the social-ecological system framework that focused on the correlation between the quality of physical characteristics and the collective action of parcel holders.
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Daniel C.W. Ho and Ervi Liusman
The complex nature of multi-ownership, multi-storey buildings requires the services of property management companies (PMCs). Naturally, homeowners favor PMCs with good…
Abstract
Purpose
The complex nature of multi-ownership, multi-storey buildings requires the services of property management companies (PMCs). Naturally, homeowners favor PMCs with good performance. Yet, their performances vary. The purpose of this paper is to measure the performance of PMCs in managing high-rise flats using the logic model as the contextual framework with its indicators adapted from the building quality index (BQI) scheme.
Design/methodology/approach
For this pilot study, the research was based on visual inspection and interviews with building management staff for the information concerning the output and outcome indicators. The authors also tested the relationship between outcomes and outputs and other factors that affect the performance of PMCs.
Findings
Based on our pilot study of 41 high-rise residential buildings, the performance outcomes of the PMCs varied considerably. The same PMC was likely to yield different performance outcomes due to unique building characteristics. The outputs, building ages and rehabilitation statuses of the buildings were the contributing factors to the PMCs’ performance outcomes.
Practical implications
The performance outcomes of the logic model can help homeowners and PMCs understand current PMC performance, which can help trigger the development of a strategy to enhance the health and safety of residential buildings in the future.
Originality/value
Unlike traditional performance measurements that use financial figures or balanced scorecards to measure organizational performance, the authors used the logic model performance measurement system because the performance outcomes of the PMCs were explicitly reflected in the physical building conditions. This framework was relatively straightforward and could be applied to cities dominated by multi-ownership, multi-storey apartments.
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Elavaar Kuzhali S. and Pushpa M.K.
COVID-19 has occurred in more than 150 countries and causes a huge impact on the health of many people. The main purpose of this work is, COVID-19 has occurred in more than 150…
Abstract
Purpose
COVID-19 has occurred in more than 150 countries and causes a huge impact on the health of many people. The main purpose of this work is, COVID-19 has occurred in more than 150 countries and causes a huge impact on the health of many people. The COVID-19 diagnosis is required to detect at the beginning stage and special attention should be given to them. The fastest way to detect the COVID-19 infected patients is detecting through radiology and radiography images. The few early studies describe the particular abnormalities of the infected patients in the chest radiograms. Even though some of the challenges occur in concluding the viral infection traces in X-ray images, the convolutional neural network (CNN) can determine the patterns of data between the normal and infected X-rays that increase the detection rate. Therefore, the researchers are focusing on developing a deep learning-based detection model.
Design/methodology/approach
The main intention of this proposal is to develop the enhanced lung segmentation and classification of diagnosing the COVID-19. The main processes of the proposed model are image pre-processing, lung segmentation and deep classification. Initially, the image enhancement is performed by contrast enhancement and filtering approaches. Once the image is pre-processed, the optimal lung segmentation is done by the adaptive fuzzy-based region growing (AFRG) technique, in which the constant function for fusion is optimized by the modified deer hunting optimization algorithm (M-DHOA). Further, a well-performing deep learning algorithm termed adaptive CNN (A-CNN) is adopted for performing the classification, in which the hidden neurons are tuned by the proposed DHOA to enhance the detection accuracy. The simulation results illustrate that the proposed model has more possibilities to increase the COVID-19 testing methods on the publicly available data sets.
Findings
From the experimental analysis, the accuracy of the proposed M-DHOA–CNN was 5.84%, 5.23%, 6.25% and 8.33% superior to recurrent neural network, neural networks, support vector machine and K-nearest neighbor, respectively. Thus, the segmentation and classification performance of the developed COVID-19 diagnosis by AFRG and A-CNN has outperformed the existing techniques.
Originality/value
This paper adopts the latest optimization algorithm called M-DHOA to improve the performance of lung segmentation and classification in COVID-19 diagnosis using adaptive K-means with region growing fusion and A-CNN. To the best of the authors’ knowledge, this is the first work that uses M-DHOA for improved segmentation and classification steps for increasing the convergence rate of diagnosis.
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Gergely Orbán and Gábor Horváth
The purpose of this paper is to show an efficient method for the detection of signs of early lung cancer. Various image processing algorithms are presented for different types of…
Abstract
Purpose
The purpose of this paper is to show an efficient method for the detection of signs of early lung cancer. Various image processing algorithms are presented for different types of lesions, and a scheme is proposed for the combination of results.
Design/methodology/approach
A computer aided detection (CAD) scheme was developed for detection of lung cancer. It enables different lesion enhancer algorithms, sensitive to specific lesion subtypes, to be used simultaneously. Three image processing algorithms are presented for the detection of small nodules, large ones, and infiltrated areas. The outputs are merged, the false detection rate is reduced with four separated support vector machine (SVM) classifiers. The classifier input comes from a feature selection algorithm selecting from various textural and geometric features. A total of 761 images were used for testing, including the database of the Japanese Society of Radiological Technology (JSRT).
Findings
The fusion of algorithms reduced false positives on average by 0.6 per image, while the sensitivity remained 80 per cent. On the JSRT database the system managed to find 60.2 per cent of lesions at an average of 2.0 false positives per image. The effect of using different result evaluation criteria was tested and a difference as high as 4 percentage points in sensitivity was measured. The system was compared to other published methods.
Originality/value
The study described in the paper proves the usefulness of lesion enhancement decomposition, while proposing a scheme for the fusion of algorithms. Furthermore, a new algorithm is introduced for the detection of infiltrated areas, possible signs of lung cancer, neglected by previous solutions.
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Jeng-Tzong Chen, Shyh-Rong Kuo, Yu-Lung Chang and Shing-Kai Kao
The purpose of this paper is to detect the degenerate scale of a 2D bending plate analytically and numerically.
Abstract
Purpose
The purpose of this paper is to detect the degenerate scale of a 2D bending plate analytically and numerically.
Design/methodology/approach
To avoid the time-consuming scheme, the influence matrix of the boundary element method (BEM) is reformulated to an eigenproblem of the 4 by 4 matrix by using the scaling transform instead of the direct-searching scheme to find degenerate scales. Analytical degenerate scales are derived from the boundary integral equation (BIE) by using the degenerate kernel only for the circular case. Numerical results of the direct-searching scheme and the eigen system for the arbitrary shape are also considered.
Findings
Results using three methods, namely, analytical derivation, the direct-searching scheme and the 4 by 4 eigen system, are also given for the circular case and arbitrary shapes. Finally, addition of a constant for the kernel function makes original eigenvalues (2 real roots and 2 complex roots) of the 4 by 4 matrix to be all real. This indicates that a degenerate scale depends on the kernel function.
Originality/value
The analytical derivation for the degenerate scale of a 2D bending plate in the BIE is first studied by using the degenerate kernel. Through the reformed eigenproblem of a 4 by 4 matrix, the numerical solution for the plate of an arbitrary shape can be used in the plate analysis using the BEM.