Authentication systems robustness can be affected by the fingerprint image quality. Fingerprint image denoising is essential for better performance of any authentication system. In this paper, most recent wavelet transform based techniques for fingerprint image denoising are reviewed. It is observed that there are four important components of wavelet transform based denoising techniques. These important components include wavelet filter, thresholding rule, threshold value computation method and the level of decomposition. The stationary wavelet transform and the weighted median are recommended over conventional discrete wavelet transform and median estimator.
{"title":"A Review of Wavelet Transform based Techniques for Denoising Latent Fingerprint Images","authors":"Sboniso Sifiso Mgaga, N. P. Khanyile, J. Tapamo","doi":"10.1109/OI.2019.8908252","DOIUrl":"https://doi.org/10.1109/OI.2019.8908252","url":null,"abstract":"Authentication systems robustness can be affected by the fingerprint image quality. Fingerprint image denoising is essential for better performance of any authentication system. In this paper, most recent wavelet transform based techniques for fingerprint image denoising are reviewed. It is observed that there are four important components of wavelet transform based denoising techniques. These important components include wavelet filter, thresholding rule, threshold value computation method and the level of decomposition. The stationary wavelet transform and the weighted median are recommended over conventional discrete wavelet transform and median estimator.","PeriodicalId":330455,"journal":{"name":"2019 Open Innovations (OI)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114846579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The influence of second-order velocity slip of magnetohydrodynamic flow involved in liquid-metal was numerically investigated. A commercial Computational Fluid Dynamics (CFD) code, STAR-CCM+ 13 was used. The MHD flow of Galinstan (GaInSn - Gallium-Indium-Tin) an electrically conducting liquid-metal fluid in the presence of a magnetic field was investigated. The variations of velocity within the second-order velocity slip parameters were found to be influenced by the local variations of the magnetic field. It was determined that the second-order velocity slip persists due to an increase in the thermal boundary layer. The numerical results were compared to published literature and were in good agreement.
{"title":"Simulation of Second-Order Velocity Slip of Magnetohydrodynamic (MHD) Flows","authors":"T. Kunene, L. Tartibu","doi":"10.1109/OI.2019.8908162","DOIUrl":"https://doi.org/10.1109/OI.2019.8908162","url":null,"abstract":"The influence of second-order velocity slip of magnetohydrodynamic flow involved in liquid-metal was numerically investigated. A commercial Computational Fluid Dynamics (CFD) code, STAR-CCM+ 13 was used. The MHD flow of Galinstan (GaInSn - Gallium-Indium-Tin) an electrically conducting liquid-metal fluid in the presence of a magnetic field was investigated. The variations of velocity within the second-order velocity slip parameters were found to be influenced by the local variations of the magnetic field. It was determined that the second-order velocity slip persists due to an increase in the thermal boundary layer. The numerical results were compared to published literature and were in good agreement.","PeriodicalId":330455,"journal":{"name":"2019 Open Innovations (OI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115505722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wheelset vibration response of two Transnet locomotive classes i.e. D39 200 and D44 are investigated using the modal analysis method. These two locomotive classes are the only classes used on the Belfast to Steelpoort railway line in the Limpopo Province of South Africa. The class D44 replaced the class D39 200 locomotives over two years ago. Short-pitch rail corrugation exists on rail track curves of the railway line. The axial (lateral) resonance frequencies of wheelsets from both locomotive classes prove to be more, than resonances in any other direction of vibration. This is in good agreement with the previous tests done on a class D39 200 locomotive wheelset. The axle coupling vibration response was measured in the axial direction by exciting one wheel and measuring accelerance of the opposite wheel on the wheelset. Vibration response for the class D44 wheelset shows more lightly damped resonance modes in the axial direction. The characteristics of the axial vibration response being lightly damped with the highest accelerance implies most of the vibration occurs in this direction and may be associated with most rail track damages.
{"title":"Vibration Response for class D44 and D39 200 Locomotive Wheelsets due to Dynamic Loads Excitation","authors":"Bingo Balekwa, Danie Fourie, D. Kallon","doi":"10.1109/OI.2019.8908173","DOIUrl":"https://doi.org/10.1109/OI.2019.8908173","url":null,"abstract":"Wheelset vibration response of two Transnet locomotive classes i.e. D39 200 and D44 are investigated using the modal analysis method. These two locomotive classes are the only classes used on the Belfast to Steelpoort railway line in the Limpopo Province of South Africa. The class D44 replaced the class D39 200 locomotives over two years ago. Short-pitch rail corrugation exists on rail track curves of the railway line. The axial (lateral) resonance frequencies of wheelsets from both locomotive classes prove to be more, than resonances in any other direction of vibration. This is in good agreement with the previous tests done on a class D39 200 locomotive wheelset. The axle coupling vibration response was measured in the axial direction by exciting one wheel and measuring accelerance of the opposite wheel on the wheelset. Vibration response for the class D44 wheelset shows more lightly damped resonance modes in the axial direction. The characteristics of the axial vibration response being lightly damped with the highest accelerance implies most of the vibration occurs in this direction and may be associated with most rail track damages.","PeriodicalId":330455,"journal":{"name":"2019 Open Innovations (OI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124821552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Big data has brought a notable shift in the relationship between technology and business and the ways in which businesses operate. However, the opportunities that big data offer to businesses, come with potential adoption challenges that might have a negative impact on the adoption of big data analysis, which can result in the resistance of organizations to adopt big data analysis. This study aims to understand the reasons behind resistance of adopting big data analysis for small business in South Africa. Literature has been reviewed on changes concerns and factors influencing small business adopting big data analysis. A case study of South African small business was taken; three themes were used to theoretically analyse the collected data (decision making, challenges and technology). Data has been collected through individuals’ interviews with business owners. The study represents some of the different reasons why small South African businesses are resistant to adopt big data analysis. The findings of the study found that lack of knowledge about the real potential of big data analysis is what is stopping small businesses from adopting big data analysis. Additionally, more small business could adopt big data analysis had they been informed about the affordable analysis tools.
{"title":"Big Data for Small Business","authors":"S. Salih, K. Njenga","doi":"10.1109/OI.2019.8908199","DOIUrl":"https://doi.org/10.1109/OI.2019.8908199","url":null,"abstract":"Big data has brought a notable shift in the relationship between technology and business and the ways in which businesses operate. However, the opportunities that big data offer to businesses, come with potential adoption challenges that might have a negative impact on the adoption of big data analysis, which can result in the resistance of organizations to adopt big data analysis. This study aims to understand the reasons behind resistance of adopting big data analysis for small business in South Africa. Literature has been reviewed on changes concerns and factors influencing small business adopting big data analysis. A case study of South African small business was taken; three themes were used to theoretically analyse the collected data (decision making, challenges and technology). Data has been collected through individuals’ interviews with business owners. The study represents some of the different reasons why small South African businesses are resistant to adopt big data analysis. The findings of the study found that lack of knowledge about the real potential of big data analysis is what is stopping small businesses from adopting big data analysis. Additionally, more small business could adopt big data analysis had they been informed about the affordable analysis tools.","PeriodicalId":330455,"journal":{"name":"2019 Open Innovations (OI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125765853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The processes involved in brewing beer have been observed to be highly energy intensive. Breweries in particular may consume up to 8250 kWh per month. In addition, approximately 0.43 kWh is required to produce one liter of beer in large breweries, while energy usage in microbreweries are estimated to be significantly higher. A walkthrough energy audit revealed that a craft brewery located in Bloemfontein, South Africa, required approximately 0.65 kWh of electrical energy to produce one liter of beer. This equates to approximately 5.2% of the production costs involved, substantiating the need for energy management; this makes energy efficiency improvement an important way to reduce costs, especially in times of high energy price volatility. In South Africa, craft beer produced by these breweries became highly popular in recent years. The heating and cooling processes involved in the production of craft beer could be controlled based on the time-of-use (TOU) tariff to reduce the energy consumption. This may be achieved by shifting loads from peak demand to off-peak or standard time. Renewable energy source technologies can also be used to reduce the energy consumption; however, the renewable energy systems show a common disadvantage of not always meeting the energy demand during certain climate conditions. Therefore, in this paper, a methodology for reducing energy usage and associated costs is proposed to evaluate various energy management initiatives for prospective implementation.
{"title":"Energy Efficiency Improvements in a Microbrewery in South Africa","authors":"J. Conduah, K. Kusakana, P. A. Hohne","doi":"10.1109/OI.2019.8908193","DOIUrl":"https://doi.org/10.1109/OI.2019.8908193","url":null,"abstract":"The processes involved in brewing beer have been observed to be highly energy intensive. Breweries in particular may consume up to 8250 kWh per month. In addition, approximately 0.43 kWh is required to produce one liter of beer in large breweries, while energy usage in microbreweries are estimated to be significantly higher. A walkthrough energy audit revealed that a craft brewery located in Bloemfontein, South Africa, required approximately 0.65 kWh of electrical energy to produce one liter of beer. This equates to approximately 5.2% of the production costs involved, substantiating the need for energy management; this makes energy efficiency improvement an important way to reduce costs, especially in times of high energy price volatility. In South Africa, craft beer produced by these breweries became highly popular in recent years. The heating and cooling processes involved in the production of craft beer could be controlled based on the time-of-use (TOU) tariff to reduce the energy consumption. This may be achieved by shifting loads from peak demand to off-peak or standard time. Renewable energy source technologies can also be used to reduce the energy consumption; however, the renewable energy systems show a common disadvantage of not always meeting the energy demand during certain climate conditions. Therefore, in this paper, a methodology for reducing energy usage and associated costs is proposed to evaluate various energy management initiatives for prospective implementation.","PeriodicalId":330455,"journal":{"name":"2019 Open Innovations (OI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114109172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D-government has demonstrated to be a game-changing tool for improving government-to-citizen (G2C) interactions and service offering across the world. Despite achieving commendable results in the developed world, the adoption of d-government systems by citizens in developing nations remains sluggish and constrained by several factors. This study investigates the effects of effort expectancy, cost of access, intention to use and information quality on citizens’ decisions to adopt and use d-government systems in Zimbabwe. Underpinned by the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) as a theoretical lens, this study proposes a research model. To test the model, survey data was collected from 489 randomly selected respondents using self-administered questionnaires. Regression The findings reveal that effort expectancy, cost of access and information quality have a positive significant influence on intention to use; whereas the intention to use positively influence use behaviour. Findings of this study have implications decision-makers and practitioners involved in digital government matters and endeavouring to improve its adoption by citizens.
{"title":"Factors influencing digital government adoption in Zimbabwe","authors":"W. Munyoka","doi":"10.1109/OI.2019.8908196","DOIUrl":"https://doi.org/10.1109/OI.2019.8908196","url":null,"abstract":"D-government has demonstrated to be a game-changing tool for improving government-to-citizen (G2C) interactions and service offering across the world. Despite achieving commendable results in the developed world, the adoption of d-government systems by citizens in developing nations remains sluggish and constrained by several factors. This study investigates the effects of effort expectancy, cost of access, intention to use and information quality on citizens’ decisions to adopt and use d-government systems in Zimbabwe. Underpinned by the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) as a theoretical lens, this study proposes a research model. To test the model, survey data was collected from 489 randomly selected respondents using self-administered questionnaires. Regression The findings reveal that effort expectancy, cost of access and information quality have a positive significant influence on intention to use; whereas the intention to use positively influence use behaviour. Findings of this study have implications decision-makers and practitioners involved in digital government matters and endeavouring to improve its adoption by citizens.","PeriodicalId":330455,"journal":{"name":"2019 Open Innovations (OI)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128150195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As a contribution to the studies on techno-economic optimization and sizing of a standalone energy system, this study presents the optimal sizing of a Photovoltaic (PV) system based on various tracking configurations. In order to elucidate the impact of temperature coefficient of PV modules on the techno-economic results from the optimal sizing of a PV system, a comparison of tracking configuration with and without temperature coefficient is also presented. Results indicate that a PV system with no tracking device performed best in terms of economic metrics. As regards the level of annual electricity production, the PV system with two axis orientation had a superior performance if temperature effect is considered while the PV system with horizontal axis, continuous adjustment performed best if the temperature effect is neglected.
{"title":"Photovoltaic system sizing for household use: effects of temperature, orientation and sun tracking","authors":"O. Babatunde, J. Munda, Y. Hamam","doi":"10.1109/OI.2019.8908227","DOIUrl":"https://doi.org/10.1109/OI.2019.8908227","url":null,"abstract":"As a contribution to the studies on techno-economic optimization and sizing of a standalone energy system, this study presents the optimal sizing of a Photovoltaic (PV) system based on various tracking configurations. In order to elucidate the impact of temperature coefficient of PV modules on the techno-economic results from the optimal sizing of a PV system, a comparison of tracking configuration with and without temperature coefficient is also presented. Results indicate that a PV system with no tracking device performed best in terms of economic metrics. As regards the level of annual electricity production, the PV system with two axis orientation had a superior performance if temperature effect is considered while the PV system with horizontal axis, continuous adjustment performed best if the temperature effect is neglected.","PeriodicalId":330455,"journal":{"name":"2019 Open Innovations (OI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126424657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Euphodia Mathase, Dr Mampilo Phahlane, Prof Nixon Muganda Ochara
Public sector organisations are faced with the ethical demand to provide value, be transparent and accountable which however is the reverse for most public sector organisations. Over the years there has been attention on corporate governance and the focus of interest has been IT governance, with the crafting of IT governance frameworks such as the COSO, COBIT and ITIL etc. to help organisations to implement effective IT governance framework. This research focuses on how IT governance is adopted in the public sector, what factors affect the implementation of IT governance in the public sector and the implementation tools available. A desk research method was used for the vast amount of data to review how organisations are faring in the implementation of IT governance frameworks. The research was a qualitative research. The research findings reflect that there are challenges in implementing IT governance in most public sector organisations because of factors ranging from weak corporate governance, financial constraints, lack of interest and innovation, large size of most of the public sector organisations, making the control structure too broad for the Boards, and political reasons. Most public sector organisations are within the ad-hoc and fragmented maturity levels of IT Governance. The researcher recommends further research on the failure to enforce and make compulsory the implementation of IT governance in public sector.
{"title":"Review of IT Governance Frameworks Implementation in the Context of the South African Public Sector","authors":"Euphodia Mathase, Dr Mampilo Phahlane, Prof Nixon Muganda Ochara","doi":"10.1109/OI.2019.8908178","DOIUrl":"https://doi.org/10.1109/OI.2019.8908178","url":null,"abstract":"Public sector organisations are faced with the ethical demand to provide value, be transparent and accountable which however is the reverse for most public sector organisations. Over the years there has been attention on corporate governance and the focus of interest has been IT governance, with the crafting of IT governance frameworks such as the COSO, COBIT and ITIL etc. to help organisations to implement effective IT governance framework. This research focuses on how IT governance is adopted in the public sector, what factors affect the implementation of IT governance in the public sector and the implementation tools available. A desk research method was used for the vast amount of data to review how organisations are faring in the implementation of IT governance frameworks. The research was a qualitative research. The research findings reflect that there are challenges in implementing IT governance in most public sector organisations because of factors ranging from weak corporate governance, financial constraints, lack of interest and innovation, large size of most of the public sector organisations, making the control structure too broad for the Boards, and political reasons. Most public sector organisations are within the ad-hoc and fragmented maturity levels of IT Governance. The researcher recommends further research on the failure to enforce and make compulsory the implementation of IT governance in public sector.","PeriodicalId":330455,"journal":{"name":"2019 Open Innovations (OI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126533219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Water heating is the major energy user in the residential sector. The hot water contribution in the residential sector of South Africa is up to 60% on an average monthly basis and accounts for more than 50% of the monthly electricity cost. Electric storage tank water waters are the main contributors to the high energy consumption in the residences and most of the heating process takes place during the peak times, when electricity is more expensive than off-peak and normal time. This and the growing population and living standards of the economy has led to the high demand of electricity and energy shortage in the country. Reducing the desired end users’ water temperature has been proposed as a solution to reduce the energy consumption this practice increases chances of diseases like legionella pneumophila. The water heating process could be incorporated with the time-of-use (TOU) tariff to reduce the energy consumption by load shifting from peak demand to off-peak or normal time. Renewable energy source technologies can also be used to reduce the energy consumption; however, the renewable energy systems show a common disadvantage in meeting the energy demand during certain climate conditions. And therefore, the hybrid energy systems can be implemented to promote energy conservation and energy efficiency of the renewable energy system. To further reduce the energy consumption, the TOU tariff can be used for optimal control and energy management of the hybrid system.
{"title":"Prospect of Solar-assisted Heat Pump Water Heating Systems for Student Residences","authors":"T. P. Gaonwe, K. Kusakana, P. A. Hohne","doi":"10.1109/OI.2019.8908203","DOIUrl":"https://doi.org/10.1109/OI.2019.8908203","url":null,"abstract":"Water heating is the major energy user in the residential sector. The hot water contribution in the residential sector of South Africa is up to 60% on an average monthly basis and accounts for more than 50% of the monthly electricity cost. Electric storage tank water waters are the main contributors to the high energy consumption in the residences and most of the heating process takes place during the peak times, when electricity is more expensive than off-peak and normal time. This and the growing population and living standards of the economy has led to the high demand of electricity and energy shortage in the country. Reducing the desired end users’ water temperature has been proposed as a solution to reduce the energy consumption this practice increases chances of diseases like legionella pneumophila. The water heating process could be incorporated with the time-of-use (TOU) tariff to reduce the energy consumption by load shifting from peak demand to off-peak or normal time. Renewable energy source technologies can also be used to reduce the energy consumption; however, the renewable energy systems show a common disadvantage in meeting the energy demand during certain climate conditions. And therefore, the hybrid energy systems can be implemented to promote energy conservation and energy efficiency of the renewable energy system. To further reduce the energy consumption, the TOU tariff can be used for optimal control and energy management of the hybrid system.","PeriodicalId":330455,"journal":{"name":"2019 Open Innovations (OI)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124133488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recent research indicate a surge in the use of machine learning and artificial intelligence to compliment the processes of human visual perception. In particular, applying closeness measures of digital objects is of great significance in the attempts to account for the correspondence between digitized sky objects and some human identifiable object. The scoring of computerized objects can be based on testing a combination of well-known features humans use for visual perception, with a consideration that the human visual cognition system is well tailored for discriminating structural information from visual objects. This way, benchmark tests can be used to compute some proximity of detected objects to the specified object’s reality. Apart from producing outputs for use in the predictions, object similarity tests can also act as a mechanism for quality assessment process for the results of computer object detectors. One assumption here is that similar objects cannot qualify as perfect matches to their real objects but may contain some acceptable divergence in their closeness. In this paper, algorithms for extracting shape, color and texture information in visual sky (specific to traditional weather lore) objects are investigated as candidates for visual sky objects benchmarking, and their performances compared using a collection of positive/negative instances of visual sky objects. The rationale for testing both positive/negative instances was due to the fact that while the sky objects detectors can be expected to generate positive detections, the number of false positives detectable should be negligible.
{"title":"Complementary Methods for Human Visual Perception of Visual Weather Lore Sky Objects Using Machine Learning Methods","authors":"Mwanjele Mwagha, M. Masinde","doi":"10.1109/OI.2019.8908176","DOIUrl":"https://doi.org/10.1109/OI.2019.8908176","url":null,"abstract":"Recent research indicate a surge in the use of machine learning and artificial intelligence to compliment the processes of human visual perception. In particular, applying closeness measures of digital objects is of great significance in the attempts to account for the correspondence between digitized sky objects and some human identifiable object. The scoring of computerized objects can be based on testing a combination of well-known features humans use for visual perception, with a consideration that the human visual cognition system is well tailored for discriminating structural information from visual objects. This way, benchmark tests can be used to compute some proximity of detected objects to the specified object’s reality. Apart from producing outputs for use in the predictions, object similarity tests can also act as a mechanism for quality assessment process for the results of computer object detectors. One assumption here is that similar objects cannot qualify as perfect matches to their real objects but may contain some acceptable divergence in their closeness. In this paper, algorithms for extracting shape, color and texture information in visual sky (specific to traditional weather lore) objects are investigated as candidates for visual sky objects benchmarking, and their performances compared using a collection of positive/negative instances of visual sky objects. The rationale for testing both positive/negative instances was due to the fact that while the sky objects detectors can be expected to generate positive detections, the number of false positives detectable should be negligible.","PeriodicalId":330455,"journal":{"name":"2019 Open Innovations (OI)","volume":"228 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123295340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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