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Paper submission: 

Final Paper Due (Camera Ready): 10th Sept 2019

 

 

Open Innovations Conference 2019

 

2 – 4 October 2019 in cape town, South Africa

“New Frontiers in Digital Transformation!”

 

 

SUBMISSIONS

 

 

We invite the submission of Full Research Papers (FRP); Short Research Papers (SRP), Reflection Papers (RP), Student Posters (SP), Workshops & Tutorials (WT), Research Development Symposia (RDS), Invited Talks (IT)and Showcases & Exhibitions (SE) to the 2019 Open Innovations Conference (2019 OIC). The 2019 OIC theme, “New Frontiers in Digital Transformation”, invites submissions that exposes the role of digital technology for enabling sustainable innovations in all sectors of our society. Open Innovation is now seen as an imperative that underpins human progress, with societal changes exemplified by Schumpeter’s ‘creative disruption’ and Christensen’s ‘disruptive technologies’.

Conference call for Papers

The paper preparation and submission link provided

ACCEPTED ABSTRACTS

Track: Digital government Innovations

2018-0001: Public Value Co-Creation Through E-Government

Public Value Co-Creation Through E-Government

ABSTRACT

Governments continue to seek improvements in service delivery through the use of technology in a cost effective manner while trying to satisfy the wishes of increasingly demanding populations. Despite the large amount of money that is spent on these projects, lured by the array of potential benefits that can be delivered, the list of failed projects is long, mainly because the complexity of undertaking such projects is often understated and the demands of a public value approach make e-government projects even more complex. Public value theory suggests that citizens value those services they authorise, whose creation they participate in and whose outcomes they relate to. This study seeks to understand how governments deliver e-government initiatives to maximise public value. This study is based on an interpretive case study of an e-government program in Zimbabwe, a country in Southern Africa, consisting of several projects that are being delivered as part of a broad e-government initiative. Using public value theory as a theoretical lens, six interviews were conducted with senior managers involved in the program, complemented by a review of various project related documents and followed by a focus group of thirteen managers which was used to rank the relative importance of various criteria that relate to the delivery of public value. The study finds that public managers believe that seeking public authorisation is undesirable, unnecessary and that governments are often ill equipped to undertake this task. Co-creation of services with the public is desirable, mainly because government does not have the resources to undertake all the initiatives they have to deliver and appear to welcome any assistance that is available. Public managers appear to struggle to relate the projects they undertake to outcomes that citizens relate to but seem to be focused on more immediate measures, a likely throwback to new public management thinking. The study concludes that the lack of citizen participation in project conceptualisation and service creation and delivery can be overcome using more and more commonly available technologies such as social media and the increasing proliferation of the internet even in fairly remote parts of Africa to not only better understand citizen priorities but to engage the citizen in creating the services they consume and deliver on the outcomes they value.

Keywords: E-government, public value, co-creation, co-production, developing country

2018-0006: Strategic Intentions in e-Government Project Prioritization using Analytical Hierarchy Process

Strategic Intentions in e-Government Project Prioritization using Analytical Hierarchy Process

Abstract

One of the challenges of e-government is the failure to optimally prioritize e-government initiatives from the public value perspective. This study uses an e-government project prioritization approach that helps decision makers to formulate e-government strategy through examining the Strengths, Weaknesses, Opportunities and Threats (SWOT) of e-government projects. A pragmatic, mixed methods approach employing qualitative and quantitative analysis was adopted in this study. Data was collected through interviews with the members of a steering committee responsible for the selection and implementation of e-government projects. This exercise was followed by a focus group of thirteen managers which was used to rank the relative importance of various criteria that relate to the delivery of public value. Analytical Hierarchy Process, a quantitative analytical technique incorporating rationalistic, deductive and systems thinking approaches in decision making from a general and holistic perspective was used to analyze the data. Insights from the analysis show that for a better e-government strategy realization from a public value perspective, there should be integrated approaches employing multi-criteria decision making in conjunction with Strengths, Weaknesses, Opportunities and Threats. The reality, as expressed through the results is that e-government project prioritization is primarily geared towards attaining greater internal automation of government processes, as opposed to a new model which envisages transforming and supporting the external workings of government.

Keywords: E-Government, Project Prioritization, SWOT analysis, Analytic Hierarchy Process, Africa.

2018-0007: Implementation Of Integrated Financial Management Information Systems In Kenya: A Case Study Of Migori County Government

Implementation Of Integrated Financial Management Information Systems In Kenya: A Case Study Of Migori County Government

Abstract

This research undertook a review of the critical success factors that impact on the implementation of an Integrated Financial Management Information System (IFMIS) used in the management of public funds in Migori County Government (MCG). The research prime objective proposes a conceptual framework for enhancing the implementation of the system in the management of public funds anchored on the Technology Acceptance Model (TAM), Innovation Diffusion Theory (IDT) and the Work Around Theory (WAT). An explanatory sequential mixed method was employed to carry out the survey in Migori County Government (MCG), Kenya. The population consisted of 1362 system users in the county under investigation. Applying the mixed method sampling matrix that integrates qualitative and quantitative components, the study adopted a sequential design using nested sample, a sample size of 359 respondents for the quantitative phase and 12 interviews for the qualitative phase was conducted to gain an in-depth information on how systems can be improved in the management of public funds. The study employed the Cronbach’s alpha to test for the coefficient of reliability for the research instrument. From the findings, the Cronbach’s alpha was 0.724. On the basis of decision making for the reliability test, it suffices to conclude the research instrument has sufficient reliability with alpha value greater than 0.5. The study found out several variables explaining successful adoption of IFMIS in Migori which included training, perceived usefulness, cultural and ethical practices, ease of use, energy efficiency, data security, documents and policies, qualified staff and structure and management. The predictor variables were tested for statistical significance employing Principal Component Analysis. Stepwise multiple regression was performed to identify the best predictors of the dependent variable “IFMIS Success” among the independent variables “Technological Factors”, “Structural Factors”, “Cultural and Ethical Factors”, “Environmental Factors”, “Management of Public Funds” and “Organizational Factors” Based on the results in the ANOVA (F (3, 261) = 12.063, p<0.001), there was an overall relationship between the dependent variable and the independent variables. Since the probability of the F statistic (p<0.001) was less than or equal to the level of significance (0.05), the Multiple R for the relationship between the independent variables included in the analysis and the dependent variable was 0.349.

Keywords: Integration Financial Information Management Systems, Enterprise Resource Planning, Kenya, Migori, Technology Adoption

2018-0008: OPEN GOVERNMENT FOR EFFECTIVE BUDGET MONITORING IN NAMIBIA

Open Government for Effective Budget Monitoring in Namibia

Abstract

A budget is an important tool in an organization and to ensure effective and efficient delivery of services to the public and meets the needs of the public, it is vital to monitor or manage public funds in the public sector. Given the complexity nature of budgeting and the increase of scope and amount of public sector activities, the current Namibian system is inadequate to monitor the government resources and delivering of services. Furthermore, due to several problems that have been identified in the current budget monitoring in the Namibian government such as inadequate communication and consultation among stakeholders, not providing enough information and providing budget document with minimal information to the public, not giving sufficient opportunity for the public to participate in the budget process and less or no accountability for the use of some of state funds. It has prompted the study to look into how open government can be applied for effect budget monitoring in Namibian government ministries. Better monitoring of the budget and budget process is to make the budget more transparent, to give opportunities to the public to participate in the budget process and responsible people to be held accountable and more collaborative. The research study has adopted positivist research approach. A survey was done to collect quantitative data from the participants from some government ministries using questionnaire. The results of this research study are based on a survey done and the use of quantitative analysis to validate data obtained from hundred civil servants within government ministries. Moreover, this research study uses a framework for open government from the literature and extend it to the context of government budget monitoring. The participants validated open budget monitoring framework through the questionnaire. Critical technology related factors such as social media, internet, and web based tools, mobile device and other IT tools are confirmed to positively influence open budget monitoring. Majority of the respondents believes that open budget monitoring framework comprises of transparency, participation and collaboration enhance public and citizen value. Moreover accountability, IT regulations and law, acceptance or trust in government and technology influence transparency, public participation in budgeting and government budgeting stakeholder’s collaboration and also G2C/G2B relationship and vice versa.

Key words: Budget monitoring, Budgeting, open budget monitoring framework, open government

2018-0011:A Systematic Literature Review of Open Government Data Research: Challenges, Opportunities and Further Research

A Systematic Literature Review of Open Government Data Research: Challenges, Opportunities and Further Research

Abstract—Open Government Data (OGD) has been growing as a field of research in e-government. This paper sought to scan the status of research in this area over the last five years from 2012 – 2018. The key findings indicate that the OGD struggles with the same challenges of new phenomenon such as an emphasis on qualitative and survey research in the area. There are also legal concerns concerning the opening up of government data, the format of the data, and the privacy / security implications of such exposure. The paper highlights some areas for further research.
Keywords—Open data, Government, Open Government data, OGD, e-government, digital government, transparency.

2018-0013:The roles of E-government in healthcare from the perspective of structuration theory

The roles of E-government in healthcare from the perspective of structuration theory

Abstract: The e-government concept and healthcare has usually been studied separately. Even when and where both e-government and healthcare systems were combined in a study, the roles of e-government in healthcare has not been examined. As a result, the complementarity of the systems potentially poses challenges. The interpretive approach was applied in the study. Existing materials were used as data from qualitative methods vieszpoint. Dimension of change from the perspective of structuration theory was employed to guide the data analysis. From the analysis, six factors were found to be the main roles of e-government in the implementation and use of the e-health in the delivering of healthcare services. An understanding of the roles of the e-government promotes complementarity, which enhances the healthcare service delivery to the community.
Keywords: Information systems, E-government, E-health, Structuration theory

2018-0030: Effects of GWEA implementation on ICT standardisation across SA government departments

Effects of GWEA implementation on ICT standardisation across SA government departments

Abstract: Efficiency on the standardisation of ICT plans is critical to the alignment of optimal organisational strategies, and in further assisting the organisation in obtaining the industrial competitive advantage. By contrast, the alignment of business and ICT has proved to be a challenging exercise in many organisations more so in government departments. Most of these challenges are imagined to arise because of the limited or rather lack of proper formalised approaches, such as Enterprise Architecture (EA), that can assist the organisation in the standardisation of ICT plans that can easily be aligned with business strategies. Moreover, these deficiencies manifest in complexities and inconsistencies, affecting organisational goals. Therefore, in order to achieve the objective of this study, qualitative research was employed to uncover the complexities around the effects of Government Wide Enterprise Architecture (GWEA) implementation in SA government departments. Innovation decision process from the perspective of diffusion of innovation theory (DOI) was used as lens to guide the analysis of the qualitative data. Based on the findings, a solution Conceptual factors determining the success of GWEA implementation model is developed and proposed through a framework from this study.
Keywords: Enterprise Architecture, Information and Communication Technology, GWEA, Diffusion of Innovation

Track: Innovations in Data Sciences

2018-0002: Towards Understanding Road Traffic Accidents Trends in Namibia: A Knowledge Discovery Approach

Towards Understanding Road Traffic Accidents Trends in Namibia: A Knowledge Discovery Approach

Abstract

A road accident is a stochastic event involving a road user that results into property damage, death, disability or injury. Road traffic injuries place a heavy burden on global and national economies and household finances. With more than 13 million deaths and 20 – 50 million deaths being directly linked Road traffic injuries in the world, the social, economic and political burden presents a compromising scenario for Namibia. Many families are driven into poverty by the loss of breadwinners and the added burden of having to care for members who become disabled as a result of injuries sustained in road traffic accidents. In 2009 alone, Namibia recorded over 15,000 vehicle crashes, 4,000 injuries and about 300 deaths, and most of the drivers and passengers injured, disabled or killed fell in the age range of between 10 and 56 years, while pedestrian fell under 20 age category. This posits an alarming trend that requires key stakeholders to step in and mine relevant information from the various causative factors. Current interventions are sporadic, uncoordinated and ineffective despite the huge economic burden exerted by the accidents. Furnished with accurate statistical data, stakeholders in road safety would be able to make informed decisions on road safety management such as enforcement of legislation to control speed, drunk driving, usage of seat belts, wearing of helmets as well as driver and vehicle fitness. This paper aims to explore different knowledge-discovery techniques through which accident data can be selected, cleansed and transformed into meaningful information. It will also highlight how different knowledge discovery approaches that can efficiently be utilized enhancing decision making for effective management of road traffic accidents.

Keywords: Knowledge Discovery in Databases, Data Mining, Accident Data, Namibia, Traffic Accidents

2018-0003: The Organizing Vision for “Big” Data Monetization

The Organizing Vision for “Big” Data Monetization

Abstract

As the knowledge-based society takes hold in the current world, it is evident that everything any individual, group or community does online is tracked, logged, analyzed, and often packaged and sold on to the highest bidder, whether they are aware or not. Further, billions of people share their details on social media and other public websites, which are then sold to advertisers for profit, sometimes without the knowledge of the owners of the data under the guise of data monetization. Evidence points to unspoken ethical, legal and business practices of the operating models adopted by such entities which require to be considered, since the privacy of data owners are being violated sometimes with wanton abandon. Such unethical practices by both government and the private sector is symptomatic of “selective moral disengagement” in the exercise of moral agency, in which there is a cognitive restructuring of an inhumane conduct into a worthy one. This is achieved through moral justification and the use of sanitizing language, exonerative social comparison and a disregard of the injurious effects to those whose data is the basis others’, profit, without the data owners “consent”. Yet, data monetization is not all evil, with arguments that, while privacy remains a concern, when personal data is monetized under the control of the individual decision maker, indiscriminate data hoarding and mining by business will become too expensive to undertake without consent. Thus, there is a justifiable argument for possibilities of monetizing individual data for the benefit of the individual by wresting current control of such data from businesses and government. Such a perspective requires viewing data monetization as based on some economic, political, legal and ethical rationality to both constrain, and benefit the advancement of society. We also find ourselves in a society that, even if data monetization was or was not evil, the process has found legitimation through existence of extensive data markets. In this paper, we respond to the calls by various researchers to explore and test innovative ideas that can scientifically ground the “big” data monetization paradigm that continue to be legitimized in our current world. The paper’s contribution is premised on the notion that data monetization has predominantly been interpreted and legitimized, particularly from a commercial sector perspective; but its organizing vision in the context of private citizens and the public sector is not apparent. We evolve an organizing vision, structured on the basis of systems thinking, to ground a “Big” data monetization ontology for our contemporary world.

Keywords: Data Monetization, Organizing Vision, Big Data & Analytics, Ethics, Moral Disengagement

2018-0005: Towards the rational design of two dimensional MoS2 catalysts: Insights from machine-learning prediction of catalytic activity of transition metal edge dopants

Towards the rational design of two dimensional MoS2 catalysts: Insights from machine-learning prediction of catalytic activity of transition metal edge dopants

Abstract

The quest for green and sustainable energy has added great impetus to catalyst(s) design research. This coupled with increasing computational power and refinements in algorithm developments, has created room for ab initio prediction of heterogeneous catalysts. Platinum is the gold standard catalyst because it is thermo neutral however, since it is expensive and with its natural resources diminishing, there is need for non-platinum based catalysts. The shift in dimensionality from three-dimension (3D) to two-dimension (2D) has also resulted in attention shifting to 2D materials due the interesting chemistry 2D materials offer over their bulk counterparts. However, despite the continual discovery of new 2D materials, their catalytic activity and how this activity is tuned due to transition metal doping still need to be explored. In this study with the aid machine-learning methods, the catalytic activity of 20 different transition metal dopants on the edge of 2D MoS2 is explored using hydrogen evolution reaction (HER) at the 2D MoS2 edge as a model. The obtained results have been compared against high-throughput calculation results for HER obtained using density functional theory. The potential of use of such machine learning techniques in catalyst(s) design is needed so as to accelerate the discovery of new novel heterogeneous catalysts that are non-platinum based.

Key words: machine-learning, catalysis, hydrogen evolution, 2D materails

2018-0009: Cloud Computing Adoption Resistance: The Case of Selected Organizations in South Africa

Cloud Computing Adoption Resistance: The Case of Selected Organizations in South Africa

Abstract

Cloud computing has brought a paradigm shift to the computing world by turning computing to a utility and repackaging how computer software, data, applications and infrastructure are utilized by business. It has also brought about notable change in the relationship between business and technology and the way in which business delivers IT services. However, the opportunities that cloud computing presents to organizations are accompanied by challenges with potential negative impacts on the progress of cloud computing adoption. The negative impact can result in resistance to cloud computing adoption by individuals within organizations. This study focuses on understanding resistance to adopting cloud computing solutions by South African organizations. The review of literature focused on unearthing organizational factors influencing cloud computing adoption and technology adoption resistance. A motivation for the use of status quo bias theory is also justified as the underlying theoretical underpinning. A case study of respondents from South African organizations was undertaken. The responses from the interviewees was thematically analyzed using the three themes of psychological commitment, cognitive misperception and rational decision making. The study has shown the different reasons that South African organizations are resistant to cloud solutions. One of the main reasons is linked to previous investment in infrastructure and the need for organizations to “sweat” their assets to justify the cloud computing expenditure. Previous investment in infrastructure is multi-faceted and is influenced by people who want to hold on to the old way of doing things. Based on the findings, people hold on to previous ways of doing things either because they are uncomfortable with change, they do not want to relearn how to do their jobs, they are scared that the new process or system might make their work redundant thereby putting them as risk of losing their jobs.

Keywords: Cloud computing, Technology Adoption Resistance, Cloud Computing Resistance, Status Quo Bias Theory, South Africa.

Track: Innovations in Materials Science and Engineering

2018-0004: In silico predicted properties of nickel-doped lithium manganese oxide as an energy storage material

In silico predicted properties of nickel-doped lithium manganese oxide as an energy storage material

Abstract

In order to increase the energy capacity of Li-ion batteries, researchers have turned to other possible battery electrolytes such as Ni doped lithium manganese oxide (LiO4Mn1.5Ni0.5). Different atom doping profiles have been investigated so far however, a working profile is still elusive. Novel in silico computational approaches such as density functional theory (DFT) are at the forefront in driving this search through structure-property predictions. In this study, two polymorphs of LiO4Mn1.5Ni0.5 have been investigated using DFT with the goal of bench-marking the predicted results to experimental observations. We show that in silico approaches can not only be used to give a theoretical/fundamental explanation to experimentally observed phenomena, but also used as an initial guide in experimental observations.

Key words: Energy storage, batteries, in silico, high-performance computing

2018-0005: Towards the rational design of two dimensional MoS2 catalysts: Insights from machine-learning prediction of catalytic activity of transition metal edge dopants

Towards the rational design of two dimensional MoS2 catalysts: Insights from machine-learning prediction of catalytic activity of transition metal edge dopants

Abstract

The quest for green and sustainable energy has added great impetus to catalyst(s) design research. This coupled with increasing computational power and refinements in algorithm developments, has created room for ab initio prediction of heterogeneous catalysts. Platinum is the gold standard catalyst because it is thermo neutral however, since it is expensive and with its natural resources diminishing, there is need for non-platinum based catalysts. The shift in dimensionality from three-dimension (3D) to two-dimension (2D) has also resulted in attention shifting to 2D materials due the interesting chemistry 2D materials offer over their bulk counterparts. However, despite the continual discovery of new 2D materials, their catalytic activity and how this activity is tuned due to transition metal doping still need to be explored. In this study with the aid machine-learning methods, the catalytic activity of 20 different transition metal dopants on the edge of 2D MoS2 is explored using hydrogen evolution reaction (HER) at the 2D MoS2 edge as a model. The obtained results have been compared against high-throughput calculation results for HER obtained using density functional theory. The potential of use of such machine learning techniques in catalyst(s) design is needed so as to accelerate the discovery of new novel heterogeneous catalysts that are non-platinum based.

Key words: machine-learning, catalysis, hydrogen evolution, 2D materails

 

2018-0010: Energy Materials: A Disruptive Technology?

Energy Materials: A Disruptive Technology?

Abstract

Energy storage is a pivotal technology that will reshape the energy sector and its impact is far-reaching. Recent developments in materials and manufacturing improved the economics of storage. Materials discovery plays a major role in the innovation cycle of energy storage, conversion and transmission technologies. Therefore, there is a need to accelerate innovation processes from low cost energy materials with high performance; and integrate these materials into new technologies. The challenge in energy storage technologies, particularly batteries lies in identifying materials for each component that offer significant gains and are compatible with each other. This paper will discuss opportunities beyond lithium-ion batteries, based on conceptual designs and numerous material candidates, which collectively can produce new batteries. Thus, materials for alternative battery systems with relatively low cost, higher safety, enhanced performance and promising development potential will be discussed. The novel materials have the potential to extend energy storage scope and bring new chemistries for energy storage technologies.

2018-0012:Effect of swift heavy ion irradiation on the migration behavior of strontium implanted into polycrystalline SiC

Effect of swift heavy ion irradiation on the migration behavior of strontium implanted into polycrystalline SiC

Abstract: The migration behavior of strontium (Sr) implanted into polycrystalline CVD-SiC was investigated using Rutherford backscattering spectrometry (RBS), Raman spectroscopy and scanning electron microscopy (SEM). Sr+ ions of 360 keV were implanted into polycrystalline SiC to a fluence of 2×1016 cm-2 at room temperature. Some of the implanted samples were irradiated with xenon (Xe) ions of 167 MeV to a fluence of 3.4×1014 cm-2 and 8.3×1014 cm-2 at room temperature. Both the as-implanted, implanted then irradiated samples were isochronally annealed at temperatures ranging from 1100 to 1500 oC in steps of 100 oC for 5 hours. Implantation of Sr at room temperature amorphized the SiC near surface implanted region, while swift heavy ion (SHI) irradiation of the as-implanted samples caused some limited recrystallization of the amorphized layer. Recrystallization was already taking place after annealing at 1100 oC in irradiated and un-irradiated samples. At this temperature, un-irradiated samples recrystallized more than irradiated samples. Migration of implanted Sr was already taking place at 1100 °C in both samples. The un-irradiated samples showed losing of 25% of Sr after annealing at 1100 °C. While the irradiated samples showed slight Sr loss of about 3% and no loss for samples irradiated at 3.4×1014 cm-2 and 8.3×1014 cm-2 respectively. Un-irradiated sample retained about 25% of Sr ions after sequentially annealed up to 1500 oC. While no Sr ions were retained in the 8.3×1014 cm-2 and 3.4×1014 cm-2 irradiated samples after annealing at 1300 and 1400 oC respectively. These differences in the migration behavior of Sr is due to the difference in SiC structure and recrystallization in the all samples. Decomposition of SiC were observed after annealing at 1500 °C for both samples. The results show that more Sr was released in the irradiated SiC samples.
Keywords: SHI, RBS, SiC

Track: Innovations in Health Informatics

2018-0014: Precision Health Care for Sustainable Patient Centric Solutions

Precision Health Care for Sustainable Patient Centric Solutions

Abstract: The quest for sustainable healthcare amidst the rising cost and shrinking resources has led to the uptake of essential technology by the industry that has impacted on the provision of healthcare services, subsequently triggering the mobility of patients seeking specialized healthcare services. Precision Health Care – PHC seeks to harness technology in its delivery of bespoke patient-centered diagnosis and treatment. This entails utilizing an individual’s medical history and advanced decision support systems to tailor treatment prescriptions. With the increasing availability of healthcare data, PHC has the potential to break down the walls in realizing substantial benefits to all its stakeholders by providing valuable information integral for the delivery of personalized health support services to the patients and improved clinical decision support for the service provider. Understanding the role of a precise healthcare system paves way for a more intelligent healthcare ecosystem that’s focused on prevention, early disease detection and personalized treatments. This paper seeks to deconstruct the viability of PHC in the context of knowledge discovery, privacy, data re-use and governance in the context of patient-centric treatment solutions.
Keywords: Sustainable Precision health care, Knowledge discovery, Privacy, Governance, Data re-use

Track: Sustainable energy Innovations 

2018-0015:Prospective of an architecture for local energy generation and distribution with Peer-to-Peer electricity sharing in a South African context

Prospective of an architecture for local energy generation and distribution with Peer-to-Peer electricity sharing in a South African context

Earl Jordan & Kazumba Kusakana
Central University of Technology, South Africa

Abstract: In this paper, we will investigate the possibility of an architecture for energy generation and distribution with peer-to-peer electricity sharing. This aims in bringing down the cost of electricity consumed from the grid by consumers and prosumers; in a South African context. In order to implement the proposed scheme, the local grid needs to be a smart grid and deregulated, which is not the case in South Africa. Deregulation will allow consumers to purchase electricity from prosumers, or from the grid. In this paper, the current state of research of peer-to-peer electricity sharing will be reviewed and compile valuable information that may assist researchers who intend to further study the feasibility of such a scheme in the South African context.
Keywords: Consumer Energy sharing, Peer-to-Peer, Prosumers, South Africa

2018-0018:A Survey of Groundwater Pumping Technologies for Electricity generation through Hydropower

A Survey of Groundwater Pumping Technologies for Electricity generation through Hydropower

Abstract: Water is a universal need of every living organism, it is one of the leading elements of economic development through agricultural sector (farming). However, many South African farms have both challenges of water and electricity supply. The country runs its energy harness on both renewable and non-renewable energy sources. This paper will review different groundwater pumping methods/ technologies looking at the South African context and find opportunities of using this set up to generate electricity. Therefore, different technologies will be analysed in terms of operation principle, cost, advantages, disadvantages and applicability. Furthermore, after the pumping infrastructure, different storage system as well as type equipment for the conversion of potential energy in water into electricity will be also presented.
Keywords: Cost minimization, underground water, pumped storage, Renewable energy, Optimization

2018-0019:Voltage and Frequency Control of Isolated Pico-Hydro System

Voltage and Frequency Control of Isolated Pico-Hydro System

Abstract: Pico-hydro power plants are usually a stand-alone hydropower system built to provide electricity for rural communities and are revealing as a major renewable energy because of their advantages over the large hydropower plants. However, they require a governing system to limit the variation of water turbine speed due to season change and variation of consumer load. These variations result in fluctuating output voltage and frequency from the generator. To solve this problem, constant voltage and frequency is achieved by controlling the electrical power output and water power input by means of Electronic load controller, Dump loads, Power converters and mechanical regulation of turbine water flow. This paper reviews the different technologies of controlling voltage and frequency in Pico-hydro system. Furthermore, the use of PV inverter in Pico-hydro and the maximum power point tracking technology to extract power from PV arrays will also be reviewed.
Keywords: Electronic load controller, Dump loads, output voltage and frequency, PV inverter, Maximum Power Point Tracking, Pico-hydro system, Power converters

2018-0020: Support Vector Machine Based Fault Diagnostic Technique In Power Distribution Networks

Support Vector Machine Based Fault Diagnostic Technique In Power Distribution Networks

Abstract: This paper presents a method of fault detection in an electrical power distribution system. A section of a 66 kV power system is modelled in Digsilent Power Factory software. Numerous fault incidents are subsequently obtained through the Electromagnetic Transient study on the model. Fault feature extraction is done through the application of discrete wavelet transform (DWT) on the fault signal measured at the terminal source. The extracted features are feed into a support vector machine (SVM) and artificial neural network (ANN) for fault classification and detection. Furthermore, Gaussian Process Regression (GPR) is employed for fault estimation along the distribution line. A hybrid method comprising of DWT-SVM and GPR is thus proposed. The viability of the proposed method is tested using MATLAB. The method showed that numerous types of faults can be classified with good accuracy and minimum fault estimation error.
Keywords: Fault Detection, Support Vector Machine, Discrete Wavelet Transform, Neural Network

2018-0022: Prospective implementation of grid-interactive photovoltaic systems in the South Africa residential sector

Prospective implementation of grid-interactive photovoltaic systems in the South Africa residential sector

Abstract: The current increases in energy demand is making renewable resources of energy more attractive option. The steady progress in renewable energy technologies, are opening up new opportunities for utilization of renewable energy resources. Photovoltaic (PV) systems are among one of the most popular renewable energy sources that can be integrated with electricity grid. With the new feed-in tariff scheme implemented by some of the municipalities in South Africa, a new opportunity opened for residential consumers with the ability to generate energy. There is a list of regulations and policies that should be in executed before the municipality will allow the customer to connect the grid. However, apart from infrastructure, government policy and other techno-economical aspects, residential application of solar PV systems still looks promising. This paper reviews the relevant literature on photovoltaic technology under the TOU tariff and feed-in tariff scheme applicable to residential consumers of energy in South Africa. Key elements such as operation, design, application of and previous studies of PV systems used in residential application will be discussed.
Keywords: Solar photovoltaic, Time of use tariff, feed-in tariff, Grid-Interactive system, Grid connected system

2018-0023: Energy Management of a Grid-intergrated Hybrid Renewable Charging Station for Electric Vehicles

Energy Management of a Grid-intergrated Hybrid Renewable Charging Station for Electric Vehicles

Abstract: Electric vehicles are fast becoming a popular site in the world. Their technologies have been widely developed over the years. However, their charging infrastructure is still a subject of interest, as most of the electric vehicle charging requirements were previously met by an AC grid. However, over the year’s research has been conducted on the implementation of renewable energies in the charging station. Most of the research studies focus on the management, optimal control, charging schemes and charging strategies. There is no research done on a charging station that combines the grid integrated hybrid renewable energy system such as Wind and PV comprising of a central battery bank with a peer to peer energy trading model .The aim of this research study is to develop a well-coordinated charging scheme of Electric vehicles in a charging station whilst optimally managing the charging and discharging of the central battery bank (used for energy storage) as well as the power dispatch of the grid and Wind and PV charging station. The proposed model will maximize electric vehicle user satisfaction that meets all the charging requirements of the charging station whilst offering cost effective charging scheme such as peer to peer energy sharing model.
Keywords: Electric vehicle charging station, Optimal energy management, Hybrid system, Peer to peer energy sharing, Central battery bank, Energy storage system

2018-0025: Demand Side Management of Grid-Tied Hybrid Photovoltaic-Diesel-Battery Energy System for a University Engineering Building

Demand Side Management of Grid-Tied Hybrid Photovoltaic-Diesel-Battery Energy System for a University Engineering Building

Abstract: The increasing electricity costs of the university engineering buildings has created a need for the review of the work done in the demand side management of grid-tied hybrid energy systems for commercial buildings. This paper proposes the architecture of an on-site grid-tied hybrid Photovoltaic/Diesel generator/Battery storage energy system for a university engineering building under time of use pricing considering maximum demand charge. The paper also identifies further research work.
Keywords: Demand Side Management, Hybrid system, University Building

2018-0026: Highly accurate and inexpensive computational tool for improving photovoltaic arrays performance and efficiency measures

Highly accurate and inexpensive computational tool for improving photovoltaic arrays performance and efficiency measures

Abstract: This work shows the results of a computational tool that allows to simulate the behavior of arrays of photovoltaic cells, under the physical model of two diodes. For reach this, the I-V curves by experimental way have been obtained, in order to know relevant parameters of the array: open-circuit voltage, short-circuit current, maximum voltage and current. These four parameters will be the input data in SCILAB, which solves the non-linear equations under the selected model, and from there, the coefficients of the equations that describes the behavior I-V of the photovoltaic array under test were obtained. A highly precise and inexpensive computational tool have been implemented to evaluate the efficiency of the array for any values of solar irradiance and temperature
Keywords: photovoltaic module, photovoltaic cell, SCILAB, two-diodes model, efficiency

2018-0027: Using Battery Energy Storage Systems to Defer Substation Upgrades

Using Battery Energy Storage Systems to Defer Substation Upgrades

Abstract: Electricity is generated and distributed instantaneously in electricity utilities this is sometimes an enormous amount of capacity wasted. Illegal connections are the leading cause of overloads and trips because the network is carrying more users than what it was designed for. Before substation upgrades can take place new customers are rejected due to capacity constraints in existing substations. The aim of this paper is to propose a Battery Energy Storage Design that might lead to costly network upgrade deferral and reduced demand charges. Installation of large scale battery energy storage systems is in support of the long-term carbon mitigation strategy of South Africa to transition to a low carbon economy.
Keywords: Battery design, Substation Upgrade, Demand charge

2018-0028: Particle Swarm Optimization of a Mamdani Fuzzy Logic Based Charge Controller for Energy Storage Systems

Particle Swarm Optimization of a Mamdani Fuzzy Logic Based Charge Controller for Energy Storage Systems

Abstract: This paper proposed a Particle Swarm Optimzed Mamdani Fuzzy Logic Based Charge Controller for Energy Storage Systems. This work was deemed necessary because all Mamdani based charge controllers in literature are defined arbitrarily thereby creating an impression that a PSO based approach may yield better results. The Energy Storage System as well as the Mamdani Fuzzy Controller and the Particle Swarm Optimizer are implemented in Matlab. With the desired charge set at 50%, results show that the proposed approach yields a room square error that ranges from 0.04312 to 0.077287 while the original approach achieves an root mean square error of 2.7947. The error in PSO based approach is therefore less than 2.76% of the original approach.
Keywords: Fuzzy Logic, Charge Controller, Renewable Energy, Energy Storage System

Track: Innovations in STEM Disciplines

2018-0016: Generic Digital Forensic Requirements

Generic Digital Forensic Requirements

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Abstract: A lot of research has been conducted with regards to digital forensic investigations. The investigation aspect has been the main focus however, without proper requirements. This study proposes the development of a standard that specifies the requirements that must be considered in an investigation. Through literature review, requirements include investigation framework, skills, legal aspects and how evidence must be handled. This standard can be used as a reference point that governs how forensic investigation should be conducted. The responses from digital forensic experts applaud the generic forensic requirements standard developed.
Keywords: Digital forensic, Forensic requirements, Legal aspects, Forensic frameworks, Evidence

2018-0021: Rollover Prevention and Path Following of Autonomous Vehicle Using Nonlinear Model Predictive Control

Rollover Prevention and Path Following of Autonomous Vehicle Using Nonlinear Model Predictive Control

Abstract: Autonomous Ground Vehicles (AGV) may be at risk of dangerous rollover if they operate without taking roll motion into consideration. In this paper we present a Nonlinear Model Predictive Control (NMPC) approach for combined braking and steering systems in AGVs. We formulate a predictive control problem in order to best follow a given path at maximum optimal speed by controlling the front steering angle and the brakes at the wheels, while fulfilling roll angle, yaw-rate and physical constraints to maintain vehicle stability. Open Source Software (OSS) known as Automatic Control and Dynamic Optimization (ACADO) is used to design and simulate the NMPC controller based on an eight Degrees of Freedom (8 DOF) nonlinear vehicle model. The simulation results show that the controller is able to track a given trajectory while preventing the vehicle from rolling over and spinning out by respecting given constraints.
Keywords: autonomous vehicle, rollover, nonlinear model predictive control, open source software

2018-0029: Comparative Analysis of Mac Protocols in A Mobility Aware Wireless Body Area Network

Comparative Analysis of Mac Protocols in A Mobility Aware Wireless Body Area Network

Abstract: Application areas of wireless body area networks (WBANs) are growing in our everyday lives and the main area being the medical field. WBANs are made up of small sensor nodes that monitor activities on the human body and send data to appropriate places. These sensors require energy and they are normally powered by small batteries. It is of utmost importance to make sure that the battery life of these sensors is conserved as much as possible as well as reliability of the network should be as high as possible. In this paper, media access control (MAC) protocols used for communication by the sensor nodes are analyzed using Castalia simulator based on the OMNET++ framework. A network consisting of 5 nodes is set up and mobility is configured on the suitable nodes, packets are then transmitted to the sink node. The IEEE 802.15.4, IEE802.15.6 and TMAC protocols are then used for media access and parameters such as battery usage, reliability, lifetime and latency of the network are observed as simulations are being carried out. It’s observed that no protocol has all the desired properties such as high reliability and lower battery usage.
Keywords: Wireless Body Area Networks, IEEE 802.15.6, IEEE 802.15.4, energy efficiency, reliability

Track: Innovations in Information Engineering

2018-0017: Diffusion Of Abstractive Summarisation To Improve Ease Of Use And Usefulness

Diffusion Of Abstractive Summarisation To Improve Ease Of Use And Usefulness

Abstract: Even though abstractive summarisation method have been in existence for over four decades, its popularity, adoption and diffusion have been slow or limited in both business and academic domains. This has retarded advances of the innovation and hampered its potential benefits to the users. Thus, the qualitative, empirical study was undertaken, to examine and understand how the abstractive summarisation method can be diffused to increase its spread and usefulness across business and academic environments. The theory of diffusion of innovation (DOI) of Rogers 1995 was employed in the analysis of the existing works. Based on the analysis, 5 main factors were identified, which influence the adoption of the abstractive summarisation. The factors include complexity, practical effectiveness, experimental, shortened output, and lack of friendliness. These factors were discussed towards gaining a better understanding of how the diffusion of abstractive summarisation can be improved at both business and academic environments.
Keywords: information systems, abstractive summarisation, diffusion of innovations

Track: Innovations in e-learning

2018-0024: Administrative Activities for Teachers in the WhatsApp to Support Learning

Administrative Activities for Teachers in the WhatsApp to Support Learning

Abstract: Little research has been done on the productivity of WhatsApp platforms to support learning. In this article, we share important administrative activities for teachers in the WhatsApp group as a supporting learning platform. We further share the benefits of each administrative activity in WhatsApp group. The administrative activities are based on the teachers’ experiences attained in the WhatsApp groups during 2015, 2016 and 2017 academic years. During those years, introductory programming students joined the WhatsApp group under the administration of the teachers. The aim was to take advantage of the time students spend on WhatsApp to their educational advantage, which may support and strengthen their foundational knowledge and skills of a certain module. Future work will include analyzing contents of WhatsApp group posted by the students.
Keywords: WhatsApp, teachers, students, learning

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