Determination of speaker configuration for an immersive audio content creation system
- Authors: Lebusa, Motebang
- Date: 2020
- Subjects: Loudspeakers , Surround-sound systems , Algorithms , Coordinates
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/163375 , vital:41034
- Description: Various spatialisation algorithms require the knowledge of speaker locations to accurately localise sound in 3D environments. The rendering process uses speaker coordinates to feed into their algorithms so that they can render the immersive audio content as intended by an artist. The need to measure the loudspeaker coordinates becomes necessary, especially in environments where the speaker layouts change frequently. Manually measuring the coordinates, however, tends to be a laborious task that is prone to errors. This research provides an automated solution to the problem of speaker coordinates measurement. The solution system, SDIAS, is a client-server system that uses the capabilities provided by the Ethernet Audio Video Bridging standard to measure the 3D loudspeaker coordinates for immersive sound systems. SDIAS deploys commodity hardware and readily available software to implement the solution. A server sends a short tone to each speaker in the speaker configuration, at equal intervals. A microphone attached to a mobile device picks up these transmitted tones on the client side, from different locations. The transmission and reception times from both components of the system are used to measure the time of flight for each tone sent to a loudspeaker. These are then used to determine the 3D coordinates of each loudspeaker in the available layout. Tests were performed to determine the accuracy of the determination algorithm for SDIAS, and were compared to the manually measured coordinates. , Thesis (MSc) -- Faculty of Science, Computer Science, 2020
- Full Text:
- Date Issued: 2020
- Authors: Lebusa, Motebang
- Date: 2020
- Subjects: Loudspeakers , Surround-sound systems , Algorithms , Coordinates
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/163375 , vital:41034
- Description: Various spatialisation algorithms require the knowledge of speaker locations to accurately localise sound in 3D environments. The rendering process uses speaker coordinates to feed into their algorithms so that they can render the immersive audio content as intended by an artist. The need to measure the loudspeaker coordinates becomes necessary, especially in environments where the speaker layouts change frequently. Manually measuring the coordinates, however, tends to be a laborious task that is prone to errors. This research provides an automated solution to the problem of speaker coordinates measurement. The solution system, SDIAS, is a client-server system that uses the capabilities provided by the Ethernet Audio Video Bridging standard to measure the 3D loudspeaker coordinates for immersive sound systems. SDIAS deploys commodity hardware and readily available software to implement the solution. A server sends a short tone to each speaker in the speaker configuration, at equal intervals. A microphone attached to a mobile device picks up these transmitted tones on the client side, from different locations. The transmission and reception times from both components of the system are used to measure the time of flight for each tone sent to a loudspeaker. These are then used to determine the 3D coordinates of each loudspeaker in the available layout. Tests were performed to determine the accuracy of the determination algorithm for SDIAS, and were compared to the manually measured coordinates. , Thesis (MSc) -- Faculty of Science, Computer Science, 2020
- Full Text:
- Date Issued: 2020
Software robot process automation at the South African Revenue Service (SARS)
- Authors: Ferreira, Cheryl-Ann
- Date: 2021-04
- Subjects: Automation , Automation -- Economic aspects , South African Revenue Service
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/51383 , vital:43270
- Description: Technology is everywhere and what was inconceivable five years ago, such as selfdriving vehicles, drones and virtual assistants are now changing the way we perceive professions in the future. The latest software is utilised to discover new drugs, translate languages and even invest large sums of money. The Fourth Industrial Revolution (4IR), also referred to as Industry 4.0, is disrupting almost every industry worldwide and changing entire production systems and the management thereof and governance Artificial intelligence (AI) is not new and due to recent developments in information and technology, the impact thereof will be more significant in the near future. This research has tried to gain insight into the perceptions of employees and management regarding the factors that influence the attitude towards Robotic Process Automation (RPA) are beneficial for both the organisation and the employees. The aim of this treatise was to develop a greater knowledge and understanding of RPA, to identify the factors that are significant for a conceptual model and gain an understanding of the alignment of the views of employees and management pertaining to the factors that influence the attitude towards RPA. The information gained from this treatise could assist SARS leadership to better understand the perceptions of employees and management pertaining to RPA. The research furthermore endeavoured to discover the factors that affect the attitude towards RPA, to identify back office processes for RPA and to ascertain the benefits to SARS of utilising RPA. , Thesis (MBA) -- Faculty of Business and Economic Sciences, Business Administration, 2021
- Full Text:
- Date Issued: 2021-04
- Authors: Ferreira, Cheryl-Ann
- Date: 2021-04
- Subjects: Automation , Automation -- Economic aspects , South African Revenue Service
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/51383 , vital:43270
- Description: Technology is everywhere and what was inconceivable five years ago, such as selfdriving vehicles, drones and virtual assistants are now changing the way we perceive professions in the future. The latest software is utilised to discover new drugs, translate languages and even invest large sums of money. The Fourth Industrial Revolution (4IR), also referred to as Industry 4.0, is disrupting almost every industry worldwide and changing entire production systems and the management thereof and governance Artificial intelligence (AI) is not new and due to recent developments in information and technology, the impact thereof will be more significant in the near future. This research has tried to gain insight into the perceptions of employees and management regarding the factors that influence the attitude towards Robotic Process Automation (RPA) are beneficial for both the organisation and the employees. The aim of this treatise was to develop a greater knowledge and understanding of RPA, to identify the factors that are significant for a conceptual model and gain an understanding of the alignment of the views of employees and management pertaining to the factors that influence the attitude towards RPA. The information gained from this treatise could assist SARS leadership to better understand the perceptions of employees and management pertaining to RPA. The research furthermore endeavoured to discover the factors that affect the attitude towards RPA, to identify back office processes for RPA and to ascertain the benefits to SARS of utilising RPA. , Thesis (MBA) -- Faculty of Business and Economic Sciences, Business Administration, 2021
- Full Text:
- Date Issued: 2021-04
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