State-of-the-art on research and applications of machine learning in the building life cycle

Fueled by big data, powerful and affordable computing resources, and advanced algorithms, machine learning has been explored and applied to buildings research for the past decades and has demonstrated its potential to enhance building performance. This study systematically surveyed how machine learning has been applied at different stages of building life cycle. By conducting a literature search on the Web of Knowledge platform, we found 9579 papers in this field and selected 153 papers for an in-depth review. The number of published papers is increasing year by year, with a focus on building design, operation, and control. However, no study was found using machine learning in building commissioning. There are successful pilot studies on fault detection and diagnosis of HVAC equipment and systems, load prediction, energy baseline estimate, load shape clustering, occupancy prediction, and learning occupant behaviors and energy use patterns. None of the existing studies were adopted broadly by the building industry, due to common challenges including (1) lack of large scale labeled data to train and validate the model, (2) lack of model transferability, which limits a model trained with one data-rich building to be used in another building with limited data, (3) lack of strong justification of costs and benefits of deploying machine learning, and (4) the performance might not be reliable and robust for the stated goals, as the method might work for some buildings but could not be generalized to others. Findings from the study can inform future machine learning research to improve occupant comfort, energy efficiency, demand flexibility, and resilience of buildings, as well as to inspire young researchers in the field to explore multidisciplinary approaches that integrate building science, computing science, data science, and social science

A model of co-operative education on peace support operations in Africa

Thesis (D. Tech.) - Central University of Technology, Free State, 2007The focus of this study is on a Model of Co-operative Education on Peace Support Operations (PSO) in Africa. PSO are multi-functional operations involving military forces and diplomatic humanitarian agencies. They are designed to achieve humanitarian goals or a long-term political settlement, and are conducted impartially in support of a UN mandate. These include peacekeeping (PK), peace enforcement (PE), conflict prevention, peacemaking, peace building, and humanitarian operations. Since the advent of democracy in 1994, domestic and international expectations have steadily grown regarding a new South African role as a responsible and respected member of the international community. These expectations have included a hope that South Africa will play a leading role in a variety of international, regional and sub-regional forums, and that the country will become an active participant in attempts to resolve various regional and international conflicts. Peacekeeping is becoming more and more important as South Africa plays a vital role in African missions, mandates, deployment and restructuring. The core of peacekeeping operations in Africa is no longer about the deployment of armed forces, but the focus is shifting towards a more integrated approach including reconstruction, development, stability, civilian involvement and humanitarian aspects. While skills required for peace operations overlap with those required for war, there is increasing recognition that additional peace operations training is needed to successfully conduct these missions. The demand, advancement and application of peacekeeping evolve worldwide, especially in Africa, where enormous funding is being poured into local research and development, testing and training. The market for Education, Training and Development (ETD) in the field of PSO is growing, as South Africa is becoming increasingly involved in peacekeeping missions on the African continent. At present, there is no Co-operative Education programme on generic PSO on the operational/strategic level presented by any of the major universities in South Africa in order to enhance other PSO training. The objectives of this research project are in phase one: • To determine the need for and feasibility of a Co-operative Education Program on PSO. • To write a instructional design (ISD) report for a Co-operative Education Model on PSO and, • To draft possible curriculum content. • The second phase of the project could involve the development of learning material, and the evaluation of the proposed Co-operative Education Model on PSO by running a pilot programme. The principal product (output) of this research will consist out of an ISD report on a Model for Co-operative Education on PSO in Africa, presented by means of Correspondence Instruction with contact sessions. The key factors in production of the learning program include geo-political and security studies in order to create an understanding of the African battle space, PSO as presented by UNITAR POCI, the assessment of international practice with regards to PSO in order to relate the information to operations in Africa, PSO on the African continent, and Civil-Military Cooperation

From Network to Web dimension in supply chain management

Cette thèse soutient que la dimension réseau, étant actuellement la portée du domaine de la gestion de chaîne logistique, contraint l’avancement de ce domaine et restreint des innovations conceptuelles et fondamentales capables d’adresser les grands défis économiques, environnementaux et sociaux. Les concepts de chaîne et de réseau ne reflètent pas la complexité des flux physiques, informationnels et financiers générés par les interactions qui ont lieu dans des réseaux interconnectés. Ces concepts n’offrent pas les fondations théoriques pour supporter des interventions allant au-delà d’un seul réseau et laissent échapper des opportunités nécessitant une vision multi-réseau. Ainsi, la dimension “web”, celle des réseaux de réseaux, est proposée comme une extension de la dimension réseau. Cette extension peut être vue comme l’étape naturelle suivante dans la progression qui a commencé par le niveau de gestion des opérations internes, est passée au niveau de la chaîne logistique et se trouve actuellement au niveau du réseau logistique. Après l’investigation théorique des raisons et de la façon d’intégrer la dimension web dans le domaine de la gestion de la chaîne logistique, la thèse étudie des implications importantes de cette intégration sur la collaboration inter-organisationnelle et le processus de prise de décision dans des environnements de webs logistiques. Elle démontre, en exploitant l’exemple des réseaux interconnectés ouverts, des potentialités inimaginables sans une vision web. Une méthodologie de conception d’un modèle de simulation permettant l’évaluation et la comparaison des webs ouverts par rapport aux webs existants est proposée. Puisque l’aide à la décision est une composante importante de la gestion de la chaîne logistique, la thèse contribue à déterminer les besoins des gestionnaires et à identifier les lignes directrices de la conception des outils d’aide à la décision offrant le support adéquat pour faire face aux défis et à la complexité des webs logistiques. Ces lignes directrices ont été compilées dans un cadre de conception des logiciels d’aide à la décision supportant la dimension web. Ce cadre est exploité pour développer quatre applications logicielles offrant aux praticiens et aux chercheurs des outils nécessaires pour étudier, analyser et démêler la complexité des webs logistiques.This thesis argues that the network dimension as the current scope of supply chain management is confining the evolution of this field and restricting the conceptual and fundamental innovations required for addressing the major challenges imposed by the evolution of markets and the increased intricacies of business relationships. The concepts of chain and network are limitative when attempting to represent the complexity of physical, informational and financial flows resulting from the interactions occurring in overlapping networks. They lack the theoretical foundations necessary to explain and encompass initiatives that go beyond a single chain or network. They also lead to overlook substantial opportunities that require beyond a network vision. Therefore, the “web” dimension, as networks of networks, is proposed as an extension to the network dimension in supply chain management. This new scope is the natural next step in the progression from the internal operations management level to the supply chain level and then to the supply network level. After a theoretical investigation of why and how the web dimension should be integrated into the supply chain management field, the thesis studies and discusses important implications of this integration on inter-organisational collaboration and of the decision-making processes in the logistic web environments. It demonstrates through the example of open interconnected logistic webs some of the potentials that cannot be imagined without a web vision. A methodology for designing a simulation model to assess the impact of such open webs versus existing webs is proposed. Since decision support is a key element in supply chain management, the thesis contributes to determine the needs of supply chain managers and identify the important axes for designing decision support systems that provide adequate assistance in dealing with the challenges and complexity presented by logistic web environments. The identified elements result in the establishment of a foundation for designing software solutions required to handle the challenges revealed by the web dimension. This conceptual framework is applied to the prototyping of four applications that have the potential of providing practitioners and researchers with the appropriate understanding and necessary tools to deal with the complexity of logistics webs

Seafloor characterization using airborne hyperspectral co-registration procedures independent from attitude and positioning sensors

The advance of remote-sensing technology and data-storage capabilities has progressed in the last decade to commercial multi-sensor data collection. There is a constant need to characterize, quantify and monitor the coastal areas for habitat research and coastal management. In this paper, we present work on seafloor characterization that uses hyperspectral imagery (HSI). The HSI data allows the operator to extend seafloor characterization from multibeam backscatter towards land and thus creates a seamless ocean-to-land characterization of the littoral zone

Research trends in occupational health and social responsibility: A bibliometric analysis

Occupational Health & Safety (OHS) and Corporate Social Responsibility (CSR) are domains of research char- acterised by a great complexity due to their interdisciplinary nature. Although the interest in Occupational Health & Safety issues in the context of Corporate Social Responsibility has recently increased, more effort is needed to address the complexity of both research areas and to understand the dynamic and implications of their relationship. This research describes and analyses the state of the art in the literature and potential areas for further research regarding OHS and CSR. In total, 289 articles published between 1995 and 2018 related to both CSR and OHS were identified in the most reliable database, Web of Science Core Collection. The publications cover 932 authors, 142 journals, 53 countries or territories and 489 institutions, which include 313 universities in the entire world. We employ bibliometric methods to describe the evolution of publication activity, the most relevant contributors, the methodologies applied as well as the content of the articles in order to examine the main topics and research trends. Moreover, we explore the mapping of bibliographic coupling, co-word analysis of keywords and clusters analysis, which provides maps of knowledge based on data of bibliographic nature. Our study allows us to identify potential avenues for future research that could be meaningful to advance in the consolidation of CSR as an integral framework to support OHS

Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review

In this paper, a critical bibliometric analysis study is conducted, coupled with an extensive literature survey on recent developments and associated applications in machine learning research with a perspective on Africa. The presented bibliometric analysis study consists of 2761 machine learning-related documents, of which 98% were articles with at least 482 citations published in 903 journals during the past 30 years. Furthermore, the collated documents were retrieved from the Science Citation Index EXPANDED, comprising research publications from 54 African countries between 1993 and 2021. The bibliometric study shows the visualization of the current landscape and future trends in machine learning research and its application to facilitate future collaborative research and knowledge exchange among authors from different research institutions scattered across the African continent

Book of abstracts of the ICIEOM-CIO-IIIE International Conference 2015

BOOK OF ABSTRACTS OF THE ICIEOM-CIO-IIIE INTERNATIONAL CONFERENCE 2015: ENGINEERING SYSTEMS AND NETWORKS: The way ahead for industrial engineering and operations managemen