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A holistic assessment of construction and demolition waste management in the Nigerian construction projects

- Aboginije, Ademilade, Aigbavboa, Clinton, Thwala, Wellington

Accessing imbalance learning using dynamic selection approach in water quality anomaly detection

- Dogo, Eustace M., Nwulu, Nnamdi I., Twala, Bhekisipho, Aigbavboa, Clinton

  • Authors: Dogo, Eustace M. , Nwulu, Nnamdi I. , Twala, Bhekisipho , Aigbavboa, Clinton
  • Date: 2021
  • Subjects: Classification , Imbalance learning , Dynamic selection
  • Language: English
  • Type: Article
  • Identifier: http://hdl.handle.net/10210/478606 , uj:43260 , Citation: Dogo, E.M.; Nwulu, N.I.; Twala, B.; Aigbavboa, C. Accessing Imbalance Learning Using Dynamic Selection Approach in Water Quality Anomaly Detection. Symmetry 2021, 13, 818. https://doi.org/10.3390/ sym13050818
  • Description: Abstract: Automatic anomaly detection monitoring plays a vital role in water utilities’ distribution systems to reduce the risk posed by unclean water to consumers. One of the major problems with anomaly detection is imbalanced datasets. Dynamic selection techniques combined with ensemble models have proven to be effective for imbalanced datasets classification tasks. In this paper, water quality anomaly detection is formulated as a classification problem in the presences of class imbalance. To tackle this problem, considering the asymmetry dataset distribution between the majority and minority classes, the performance of sixteen previously proposed single and static ensemble classification methods embedded with resampling strategies are first optimised and compared. After that, six dynamic selection techniques, namely, Modified Class Rank (Rank), Local Class Accuracy (LCA), Overall-Local Accuracy (OLA), K-Nearest Oracles Eliminate (KNORA-E), K-Nearest Oracles Union (KNORA-U) and Meta-Learning for Dynamic Ensemble Selection (META-DES) in combination with homogeneous and heterogeneous ensemble models and three SMOTE-based resampling algorithms (SMOTE, SMOTE+ENN and SMOTE+Tomek Links), and one missing data method (missForest) are proposed and evaluated. A binary real-world drinking-water quality anomaly detection dataset is utilised to evaluate the models. The experimental results obtained reveal all the models benefitting from the combined optimisation of both the classifiers and resampling methods. Considering the three performance measures (balanced accuracy, F-score and G-mean), the result also shows that the dynamic classifier selection (DCS) techniques, in particular, the missForest+SMOTE+RANK and missForest+SMOTE+OLA models based on homogeneous ensemble-bagging with decision tree as the base classifier, exhibited better performances in terms of balanced accuracy and G-mean, while the Bg+mF+SMENN+LCA model based on homogeneous ensemble-bagging with random forest has a better overall F1-measure in comparison to the other models.
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Influence of information flow on logistics management in the Industry 4.0 era

- Adeitan, Dennis Ayodeji, Aigbavboa, Clinton, Bamisaye, Olufemi Sylvester

Modelling a cost profile for road projects

- Akinradewo, Opeoluwa, Aigbavboa, Clinton, Oke, Ayodeji, Coffie, Harrison

  • Authors: Akinradewo, Opeoluwa , Aigbavboa, Clinton , Oke, Ayodeji , Coffie, Harrison
  • Date: 2021
  • Subjects: Cost performance , Cost profiling , Ghana
  • Language: English
  • Type: Article
  • Identifier: http://hdl.handle.net/10210/479691 , uj:43398 , Citation: Akinradewo, O. et al. 2021. Modelling a cost profile for road projects.
  • Description: Abstract: One of the vital success elements of a construction project is the accuracy of the estimation of construction cost. This study is aimed at developing a cost profile for road projects in Ghana. Pro forma was designed to retrieve historical cost data of completed road projects in Ghana. The pro forma retrieved data such as the initial budgeted cost and final construction cost of road projects, location of road projects, features of road projects, the scope of road projects (new project, renovation work, upgrade work or replacement work), type of road projects, and classification of road projects. Cost data were analyzed using descriptive analysis and probability distributions such as cumulative density functions and probability density functions. From the findings, estimates prepared for road projects in Ghana can be expected to be below the final construction cost by approximately 20% as most of the completed road projects in Ghana experience cost overrun.
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A stakeholder perspective on the implementation of sustainable construction practices

- Mashwama, Nokulunga Xolile, Thwala, Didibhuku, Aigbavboa, Clinton, Hamma-Adama, Mansur

Identifying barriers of sustainable construction : a Nigerian case study

- Ifije, Ohiomah, Aigbavboa, Clinton

  • Authors: Ifije, Ohiomah , Aigbavboa, Clinton
  • Date: 2020
  • Subjects: Sustainability , Barriers , Construction
  • Language: English
  • Type: Conference proceedings
  • Identifier: http://hdl.handle.net/10210/434841 , uj:37657 , Citation: Ifije, O. & Aigbavboa, C. 2020. Identifying barriers of sustainable construction : a Nigerian case study. , DOI: https://doi.org/10.1051/matecconf/202031204004
  • Description: Abstract: Sustainable development has become an important part of the lives and aspect of enterprises operations globally. There is a global trend to enhance sustainable practices in all sectors and most especially the construction sectors, this study discusses the factors that best prevent the implementation of sustainable construction in the Nigeria construction industry. The study further explores and determines the reliability of how sustainability should be measured in the Nigeria construction industry. The study used both primary and secondary data to meet the set objective. The primary data were gathered through the use of a questionnaire distributed to construction professionals, contractors and clients. Indicative findings arising from the study revealed that; Building regulations and financial incentives are found to be the main drivers of sustainable construction in Nigeria and Lack of client demand and awareness and a general perception that adopting sustainable construction is expensive. The research concluded by recommending that government help with building policies to help push construction firms towards sustainable construction and also awareness campaigns should be carried out so that clients would demand and be aware of the benefits of sustainable construction.
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Learning curve for improved productivity in the South African construction industry

- Mhini, Somila, Mashwama, Nokulunga, Thwala, Didibhuku, Aigbavboa, Clinton

  • Authors: Mhini, Somila , Mashwama, Nokulunga , Thwala, Didibhuku , Aigbavboa, Clinton
  • Date: 2020
  • Subjects: Learning curve , Productivity , South African construction industry (SACI)
  • Language: English
  • Type: Article
  • Identifier: http://hdl.handle.net/10210/464623 , uj:41515 , Citation: Mhini, S. et al. 2020. Learning curve for improved productivity in the South African construction industry. , DOI: 10.3311/CCC2020-034
  • Description: Abstract: The South African construction industry has battled with productivity for years despite being the key contributors to the economy of the country. This paper aims to remedy this problem by introducing the learning curve tool into the South African construction industry. The study sought to deduce the level of awareness of the learning curve and determine the benefits of adopting the learning curve tool in the South African construction industry. The Quantitative Methodology was adopted for this study and participation from construction professionals was obtained through a well-structured questionnaire. A total of 106 questionnaires were sent out and 62 were received back representing a response rate of 58.5%. The findings revealed that there is a moderate awareness of the learning curve tool in the South African construction industry. Additionally, the findings revealed that the workers would become familiar with their job and sharpen their skills which would result in a higher quality of construction work and the reduction of time taken to complete a task with reduced cost. The adoption of the learning curve tool in the South African construction industry offers a solution to a lasting problem of productivity in the industry. This study will enlighten construction professionals on the concept of the learning curve and the benefits of the learning curve.
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Ontology of the communication performance prospects of Building Information Modelling (BIM) adoption among project teams in construction project delivery

- Kwofie, Titus Ebenezer, Aigbavboa, Clinton, Baiden-Amissah, Andrew

The current state of corporate social responsibility practices of firms operating in construction industry

- Mokwena, Jabu, Mashwama, Nokulunga Xolile, Thwala, Didi, Aigbavboa, Clinton, Hamma-Adama, Mansur

  • Authors: Mokwena, Jabu , Mashwama, Nokulunga Xolile , Thwala, Didi , Aigbavboa, Clinton , Hamma-Adama, Mansur
  • Date: 2020
  • Subjects: Companies , South Africa , Workforce
  • Language: English
  • Type: Article
  • Identifier: http://hdl.handle.net/10210/464639 , uj:41517 , Citation: Mokwena, J. et al. 2020. The current state of corporate social responsibility practices of firms operating in construction industry. , DOI: https://doi.org/10.14455/isec.2020.7%282%29.cpm-01
  • Description: Abstract: The overall aim of this study is to appraise the current practice of Corporate Social Responsibility (CSR) on firms operating in the South African construction market. Primary and secondary sources of data were utilized. The primary data were collected via of questionnaire survey issued to 12 different firms operating within the South African construction sector and secondary data obtained from related and reliable scholarly literature such as journal articles, conference papers, reports, books etc. Out of 60 questionnaires issued, 50 were acquired back, and all surveys received were valid. Descriptive statistical analysis was used for the collected primary data. The study reveals that common CSR variables that are practiced by South African construction firms using certified product/material verified by the independent third party. These include supporting government initiatives on public welfare; Occupational health, business ethics and code of conduct; welfare and safety; Purchasing green material and the most important CSR variables are contractual obligations are met, and product and service providers are paid in a timely manner; Using certified product/material verified by the independent third party; Ensuring fair treatment of workers at work irrespective of race, gender, and disability; and consult employees about crucial business activities. The implementation of CSR activities offers a great solution for many problems that are being faced by the South African construction firms as well as the South African society.
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The effects of poor performance on roads infrastructure project

- Mushato, Winnie, Mashwama, Nokulunga Xolile, Thwala, Didibhuku, Aigbavboa, Clinton

  • Authors: Mushato, Winnie , Mashwama, Nokulunga Xolile , Thwala, Didibhuku , Aigbavboa, Clinton
  • Date: 2020
  • Subjects: Beneficiary , Cost overrun , Ecology
  • Language: English
  • Type: Article
  • Identifier: http://hdl.handle.net/10210/464664 , uj:41520 , Citation: Mushato, W., Mashwama, N.X., Thwala, D. & Aigbavboa, C. 2020. The effects of poor performance on roads infrastructure project. , DOI: 10.14455/ISEC.res.2020.7(1).INF-01
  • Description: Abstract: Good performance increase productivity in the construction projects and it contribute positively to the growth of the South African Economy. The aim of the paper was to investigate the impacts of poor performance on roads infrastructure projects in the Gauteng Province. Questionnaires were distributed to various construction firms which were registered with South African approved council bodies and also with construction industry development board. The questionnaires were sent via emails and dispersed during site and briefing meeting for contractors. 76 out of 100 questionnaires were collected and were used for the study. Random sampling method was used. Research findings revealed that loss of productivity; Cost overrun; disease outbreak; Time overrun; Environmental impact; Conflicts; Disputes between owner and contractor; Loss of skilled workers; stress on the contractor; Reworks were the major impacts on the construction of road infrastructure, in the South African Construction industry. Therefore, cost overrun, and time overruns can be avoided by limiting change and variation orders. In addition, skills transfer is needed so that skilled workers can pass the knowledge to the new manpower before they retired. Poor performance creates stress on the contractor as the contractor will experience the problems such as reworks, termination of contract, and default on loan repayment by the contractor.
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The factors militating internal stakeholders on road infrastructure projects

- Mashwama, Nokulunga Xolile, Mushatu, Winnie, Thwala, Didibhuku, Aigbavboa, Clinton

  • Authors: Mashwama, Nokulunga Xolile , Mushatu, Winnie , Thwala, Didibhuku , Aigbavboa, Clinton
  • Date: 2020
  • Subjects: Performance , Projects stakeholders , Participants
  • Language: English
  • Type: Article
  • Identifier: http://hdl.handle.net/10210/464654 , uj:41519 , Citation: Mashwama, N.X., Mushatu, W., Thwala, D. & Aigbavboa, C. 2020. The factors militating internal stakeholders on road infrastructure projects. , DOI: 10.14455/ISEC.res.2020.7(1).CON-21
  • Description: Abstract: There are numerous participants involved in construction projects including the client or sponsor of the project, regulatory bodies, contractors, consultants, ward councilors, community who affect or become affected by the project. Stakeholders can affect the road construction positive or negatively. Stakeholder’s engagement is done to avoid unnecessary conflicts and controversies and to attain the desired successful implementation of the project. The paper aims to identify the impact of internal stakeholders on road construction project. Quantitative approach was adopted for this study. 100 questionnaires were distributed and 76 were collected and analyzed. The data was collected through primary and secondary sources. Factor analysis was conducted, Correlation matric coefficients has been conducted to ensure visibility of coefficients greater than 0.3 and Kaiser-Meyer-Olkim (KMO) and Barlett’s test were conducted. From the findings it transpired that late payment to service providers; failure to verify contractor qualification; Client knowledge to review design documentation; inadequate involvement during construction project, lack of understanding project feasibility. The participation of stakeholders encourages the public to share their knowledge with the regulatory authorities, fosters better-informed decisions and decreases likelihood of project failure. Early stakeholder’s involvement can add benefits of diffusing opposition to a project.
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A survey of machine learning methods applied to anomaly detection on drinking-water quality data

- Dogo, Eustace M., Nwulu, Nnamdi I., Twala, Bhekisipho, Aigbavboa, Clinton

  • Authors: Dogo, Eustace M. , Nwulu, Nnamdi I. , Twala, Bhekisipho , Aigbavboa, Clinton
  • Date: 2019
  • Subjects: Machine learning , Anomaly detection , Deep learning
  • Language: English
  • Type: Article
  • Identifier: http://hdl.handle.net/10210/406768 , uj:34213 , Citation: Dogo, E.M. et al. 2019. A survey of machine learning methods applied to anomaly detection on drinking-water quality data.
  • Description: Abstract: Traditional machine learning (ML) techniques such as support vector machine, logistic regression, and artificial neural network have been applied most frequently in water quality anomaly detection tasks. This paper presents a review of progress and advances made in detecting anomalies in water quality data using ML techniques. The review encompasses both traditional ML and deep learning (DL) approaches. Our findings indicate that: 1) Generally, DL approaches outperform traditional ML techniques in terms of feature learning accuracy and fewer false positive rates. However, is difficult to make a fair comparison between studies because of different datasets, models and parameters employed. 2) We notice that despite advances made and the advantages of the extreme learning machine (ELM), application of ELM is sparsely exploited in this domain. This study also proposes a hybrid DL-ELM framework as a possible solution that could be investigated further and used to detect anomalies in water quality data.
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Assessment of encryption and decryption schemes for secure data transmission in healthcare systems

- Adedeji, Kazeem B., Nwulu, Nnamdi I., Aigbavboa, Clinton, Gbadamosi, Saheed L.

  • Authors: Adedeji, Kazeem B. , Nwulu, Nnamdi I. , Aigbavboa, Clinton , Gbadamosi, Saheed L.
  • Date: 2019
  • Subjects: Data security , Decryption , Encryption
  • Language: English
  • Type: Conference proceedings
  • Identifier: http://hdl.handle.net/10210/405247 , uj:34022 , Citation: Adedeji, K.B. et al. 2019. Assessment of encryption and decryption schemes for secure data transmission in healthcare systems.
  • Description: Abstract: In the biomedical research community, transmitting a patient medical record via wireless means to an administrative centre or other medical centres is increasingly common. However, due to the open nature of wireless media, the security of such a system is a major concern, so, it is desirable to have a reliable security scheme. Amidst the numerous methods used to secure medical data, encryption schemes are becoming more popular due to their performance and relative simplicity. In this study, the performance of some data encryption and decryption schemes used to secure medical data is evaluated. These schemes are Blowfish, DES, AES, RC4, RSA, ECC, CBE, MTLM and CEC. The performance of these schemes was assessed through their execution time, throughput, average data rate and information entropy. For this performance assessment, some medical data were used for this task. The results showed that the performance of CBE, MTLM and CEC was better. CBE and MTLM offer a secure way to encrypt data with a significant reduction in the execution time. Moreover, if some of these schemes were combined to form a hybrid system, an enhancement in the security of medical data over wireless communication networks is guaranteed.
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Challenges affecting leadership development in the construction industry

- Liphadzi, Murendeni, Aigbavboa, Clinton, Osunsanmi, Temidayo, Thwala, Wellington Didibhuku

Leak localisation in urban water supply system : a literature synopsis on model based methodologies

- Adedeji, Kazeem B., Nwulu, Nnamdi I., Aigbavboa, Clinton

Sustainable construction practices challenges - a stakeholders perspective

- Mashwama, Nokulunga, Thwala, Wellington Didibhuku, Aigbavboa, Clinton

An examination of the key drivers of amendments to the standard forms of contract in the South African construction industry

- Mewomo, Modupe Cecilia, Aigbavboa, Clinton, Lesalane, Portia

  • Authors: Mewomo, Modupe Cecilia , Aigbavboa, Clinton , Lesalane, Portia
  • Date: 2018
  • Subjects: Amendments , Contracting , Drivers
  • Language: English
  • Type: Article
  • Identifier: http://hdl.handle.net/10210/288077 , uj:31216 , Citation: Mewomo, M.C., Aigbavboa, C. & Lesalane, P. 2018. An examination of the key drivers of amendments to the standard forms of contract in the South African construction industry. Journal of Construction in Developing Countries, 23(1): 115–124. https://doi.org/10.21315/jcdc2018.23.1.7.
  • Description: Abstract: Some of the perceived benefits of standard forms of contract are standardisation, uniformity, stability and the availability of well-established terms and conditions which allow predictability and greater certainty in legal relations. Thus, the standard forms are widely adopted in the construction industry to facilitate the contractual arrangements between contracting parties in a construction project. Having become commonplace in construction transactions, they are often generally accepted by the various contracting parties and their advisers. Notwithstanding its importance, literature suggests that it is practically unfeasible to devise a standard form of contract that would cater for all eventualities and construction issues that might occur in construction projects. As a result, the existing standard forms are sometimes amended or modified in order to fit the clients' requirements and also to suit the contractors' expectations. This paper therefore investigates the key factors that drive amendments to the standard forms of contract in the South African construction industry. Considering the fact that this paper presents findings that relied on a descriptive survey method, the mean item score was used for presenting the results. The data was obtained through an online questionnaire survey sent to the construction professionals who are usually involved in the selection of contract forms for the client in the Gauteng Province of South Africa (SA). The data was analysed using the statistical package for the social sciences (SPSS) and the results indicate that "altering risk allocation", "inserting additional obligation" and "correcting something which is not applicable" are the three prominent factors that highly drive the amendment of standard forms of contract in the Gauteng Province of South Africa.
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The role of public private partnership in improving service delivery in South Africa

- Mashwama, Nokulunga, Thwala, Wellington Didibhuku, Aigbavboa, Clinton

  • Authors: Mashwama, Nokulunga , Thwala, Wellington Didibhuku , Aigbavboa, Clinton
  • Date: 2018
  • Subjects: Infrastructure , Public-private partnerships , Service delivery
  • Language: English
  • Type: Conference proceedings
  • Identifier: http://hdl.handle.net/10210/289391 , uj:31399 , Citation: Mashwama, N., Thwala, D. & Aigbavboa, C. 2018. The role of public private partnership in improving service delivery in South Africa.
  • Description: Abstract: South Africa is confronted with huge infrastructure service delivery backlogs, which has a negative impact on the country’s economic growth and improvement of the lives of its citizens. The infrastructural backlog cannot be sufficiently addressed by government alone, as it requires a collaborative effort from both the public (government) and private (business) sectors. The study examined the contribution made by Private Public Partnerships (PPPs) in delivering infrastructure projects. The data used for the study were derived from both primary and secondary sources. The secondary sources were review of literature and primary data were obtained through the use of structured questionnaires which were distributed to construction stakeholders in the public and private sectors, who were involved in the PPP’s projects in South Africa in the Gauteng province. A total of 90 questionnaire were distributed and 80 came back and used for the study. The study revealed that: PPPs speed up the infrastructural projects; completes the infrastructure projects much quicker than the traditional method; PPP increase the effectiveness of projects; completes work on time or even ahead of schedule; greater cost transparency; cost savings; reduction of life-cycle maintenance costs; reduction of the service delivery backlog, etc. The research has revealed that the projects delivered through PPP are of great quality and they are maintained well.
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A Delphi technique approach towards the need for and relevance of construction project monitoring and evaluation practices

- Tengan, Callistus, Aigbavboa, Clinton

  • Authors: Tengan, Callistus , Aigbavboa, Clinton
  • Date: 2017
  • Subjects: Delphi technique , Ghana , Monitoring and evaluation
  • Language: English
  • Type: Article
  • Identifier: http://hdl.handle.net/10210/254494 , uj:26641 , Citation: Tengan, C. & Aigbavboa, C. 2017. A Delphi technique approach towards the need for and relevance of construction project monitoring and evaluation practices.
  • Description: Abstract: The practical experience of the researchers on the implementation of the inductive methodology to knowledge dissemination using the Delphi technique approach is reported in this study. The Delphi method is a vital procedure of reaching consensus on issues that cannot be resolved in a once-off discussion. The research commenced with five questions to ascertain the views of experts with the aim of reaching consensus on the need for and relevance of monitoring and evaluation (M&E) implementation in achieving project success in Ghana’s construction industry. Experts for the study were identified from the Ghanaian construction industry (quantity surveyors, architect, and engineers), research, and academic institutions of higher learning faculties in Ghana. After two iterative Delphi rounds, consensus was achieved on the need for and relevance of M&E to achieve project success as suggested by the experts during the Delphi process. Based on the difficulties faced in the process, the study recommends clear and concise instructions to Delphi experts on the process. Also, the length of the structured Delphi questionnaire should be as short as possible to ensure a high response rate with a constant reminder to experts before the close of the submission of responses. In conclusion, the authors argue that the Delphi technique is vital for studies in areas where consensus on the need for and relevance of construction project management practices is yet to be reached.
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Adoption of smart structures for prevention of health hazards in buildings

- Oke, Ayodeji, Aigbavboa, Clinton, Ngema, Wiseman

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