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All Outputs (1093)

Weed classification in grasslands using convolutional neural networks (2019)
Conference Proceeding
Smith, L. N., Byrne, A., Hansen, M. F., Zhang, W., & Smith, M. L. (2019). Weed classification in grasslands using convolutional neural networks. . https://doi.org/10.1117/12.2530092

Automatic identification and selective spraying of weeds (such as dock) in grass can provide very significant long-term ecological and cost benefits. Although machine vision (with interface to suitable automation) provides an effective means of achie... Read More about Weed classification in grasslands using convolutional neural networks.

Classifying urban geometry impact on solar radiation (2019)
Conference Proceeding
Lila, A., & Lannon, . S. (2019). Classifying urban geometry impact on solar radiation. In V. Corrado, E. Fabrizio, A. Gasparella, & F. Patuzzi (Eds.), Building Simulation 2019 (3406). https://doi.org/10.26868/25222708.2019.210595

This research introduces a novel way of classifying the built environment based on its geometrical features and its surroundings and link the classified buildings to its environmental performance. These features consist of urban block orientation wit... Read More about Classifying urban geometry impact on solar radiation.

Further lower bounds for structure-preserving signatures in asymmetric bilinear groups (2019)
Conference Proceeding
Ghadafi, E. (2019). Further lower bounds for structure-preserving signatures in asymmetric bilinear groups. In J. Buchmann, N. Abderrahmane, & R. Tajjeeddine (Eds.), 11th International Conference on Cryptology, AFRICACRYPT 2019. https://doi.org/10.1007/978-3-030-23696-0

Structure-Preserving Signatures (SPSs) are a useful tool for the design of modular cryptographic protocols. Recent series of works have shown that by limiting the message space of those schemes to the set of Diffie-Hellman (DH) pairs, it is possible... Read More about Further lower bounds for structure-preserving signatures in asymmetric bilinear groups.

The art of sonic deception (2019)
Conference Proceeding
Dillon, T. (2019). The art of sonic deception. In J. L. Marzo (Ed.), After Post-Truth: Interface Politics Conference, 2nd International Conference (319-330)

Sonic deception is the tactical use of sound to confuse, misguide and disrupt. Discourses of deception, trust and the semiotics of suspicion often neglect sound in favour of more linguistic, verbal readings. Drawing on Goodman’s (2009) analysis of th... Read More about The art of sonic deception.

Advanced technology integration in food manufacturing supply chain environment: Pathway to sustainability and companies' prosperity (2019)
Conference Proceeding
Ojo, O. O., Zigan, S., Orchard, J., & Shah, S. (2019). Advanced technology integration in food manufacturing supply chain environment: Pathway to sustainability and companies' prosperity. In 2019 IEEE Technology & Engineering Management Conference (TEMSCON). https://doi.org/10.1109/TEMSCON.2019.8813713

The applicability of trends in industries' production, logistics and supply chain management has increased productivity, efficiency and less adverse environmental impact. Sustainability is one of the trends identified and percept by various researche... Read More about Advanced technology integration in food manufacturing supply chain environment: Pathway to sustainability and companies' prosperity.

Gender and research productivity of academics in South India's HEIs (2019)
Conference Proceeding
Bakthavatchaalam, V. (2019). Gender and research productivity of academics in South India's HEIs. In P. Paolini, M. Paolini, & S. Arduini (Eds.), Proceedings of the 2nd International Conference on Gender Research ICGR 2019 (685-692)

Conducting and publishing research is a very important aspect of any Higher Education System. In India, despite the rapid increase in the number of Higher Education Institutions (HEIs), students and staff, very few studies have been conducted investi... Read More about Gender and research productivity of academics in South India's HEIs.

Audio reproduction in virtual reality cinemas – Position paper (2019)
Conference Proceeding
Reed, L., & Phelps, P. (2019). Audio reproduction in virtual reality cinemas – Position paper. In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). , (1513-1516). https://doi.org/10.1109/VR.2019.8797904

Virtual Reality (VR) and 360 film have caught the attention of audiences and content creators and emerged as a new media, however, the market penetration of VR and head mounted hardware has remained slow despite the availability of more affordable mo... Read More about Audio reproduction in virtual reality cinemas – Position paper.

A novel parallel framework for metaheuristic-based frequent itemset mining (2019)
Conference Proceeding
Djenouri, Y., Djenouri, D., Belhadi, A., Chun-Wei Lin, J., Bendjoudi, A., & Fournier-Viger, P. (2019). A novel parallel framework for metaheuristic-based frequent itemset mining. https://doi.org/10.1109/cec.2019.8790116

Frequent Itemset Mining (FIM) is an important but very time-consuming data mining task. As a result, traditional FIM algorithms are often not scalable to large databases. To address this issue, several metaheuristics have been developed in recent yea... Read More about A novel parallel framework for metaheuristic-based frequent itemset mining.

The use of different feedback modalities and verbal collaboration in tele-robotic assistance (2019)
Conference Proceeding
Bolarinwa, J., Eimontaite, I., Dogramadzi, S., Mitchell, T., & Caleb-Solly, P. (2019). The use of different feedback modalities and verbal collaboration in tele-robotic assistance. https://doi.org/10.1109/rose.2019.8790412

This paper explores the effects of different feedback modalities (gripper orientation via peripheral (side) vision and haptic feedback) and verbal collaboration with the service-user on the performance of tele-operators in completing a tele-robotic a... Read More about The use of different feedback modalities and verbal collaboration in tele-robotic assistance.

Robotic etching: The creation of digital etching using robotics (2019)
Conference Proceeding
Winslow, V., O’Dowd, P., Chamberlain, I., & Parraman, C. (2021). Robotic etching: The creation of digital etching using robotics. In Proceedings of EVA London 2019 (97-102). https://doi.org/10.14236/ewic/EVA2019.20

This paper looks at the potentials afforded by robots when applied to traditional printing techniques such as etching. Through experiments using an adapted drawing robot, this study explores the possibilities of creating works where a traditional etc... Read More about Robotic etching: The creation of digital etching using robotics.

The need for ethical principles and guidelines in social robots (2019)
Conference Proceeding
Van Maris, A., Zook, N., Studley, M., & Dogramadzi, S. (2019). The need for ethical principles and guidelines in social robots. In Proceedings of the Fourth International Conference on Robot Ethics and Standards. https://doi.org/10.13180/icres.2019.29-30.07.006

This paper stresses the importance of establishing ethical principles regarding possible (psychological) effects of interactions with (social) robots. It highlights existing principles and standards regarding artificial intelligence systems and robot... Read More about The need for ethical principles and guidelines in social robots.

Credit card fraud detection using deep learning technique (2019)
Conference Proceeding
Pillai, T. R., Hashem, I. A. T., Brohi, S., Kaur, S., & Marjani, M. (2019). Credit card fraud detection using deep learning technique. In 2018 Fourth International Conference on Advances in Computing, Communication & Automation (ICACCA). https://doi.org/10.1109/ICACCAF.2018.8776797

Credit card fraud detection is growing due to the increase and the popularity of online banking. The need to detect fraudulent within credit card has become as a serious problem among the online shoppers. The multi-layer perceptron (MLP) machine lear... Read More about Credit card fraud detection using deep learning technique.

Middleware power saving scheme for mobile applications (2019)
Conference Proceeding
Jhanjhi, N. Z., Almusalli, F. A., Brohi, S., & Abdullah, A. (2019). Middleware power saving scheme for mobile applications. In 2018 Fourth International Conference on Advances in Computing, Communication & Automation (ICACCA). https://doi.org/10.1109/ICACCAF.2018.8776711

Smartphones popularity, usage and users dependency has been increased over the years. The popularity increase is linked with several factors such as smartphones size, ease in use, and several supported multipurpose apps. This all is enable due to the... Read More about Middleware power saving scheme for mobile applications.

Machine learning: An ethical, social & political perspective (2019)
Conference Proceeding
Mageswaran, G., Nagappan, S. D., Hamzah, N., & Brohi, S. (2019). Machine learning: An ethical, social & political perspective. In 2018 Fourth International Conference on Advances in Computing, Communication & Automation (ICACCA). https://doi.org/10.1109/ICACCAF.2018.8776702

Machine Learning is an emerging field which has created a significant positive and undesirable impact too many industries. This technology has been well received and widely used for precise decision making as its ability to process, analyze and visua... Read More about Machine learning: An ethical, social & political perspective.

Transparent workflow system to eliminate biasness in assessing final year projects (2019)
Conference Proceeding
Kaur, S., Angelina, N., Hon, S. S. K., Ntambo, M., Brohi, S., & Hashem, I. A. T. (2019). Transparent workflow system to eliminate biasness in assessing final year projects. In Proceedings - 2018 4th International Conference on Advances in Computing, Communication and Automation, ICACCA 2018. https://doi.org/10.1109/ICACCAF.2018.8776759

The purpose of this study is to understand the Final Year Project System existences and to find improvement in their workflow process. The observation made was based on a case-study workflow conducted by the final year student. In this paper the prop... Read More about Transparent workflow system to eliminate biasness in assessing final year projects.

Scaffolding in indoor and outdoor mobility a wearable and mobile application for senior tourism in a playable city (2019)
Conference Proceeding
Costa, L. V., Veloso, A. I., Arnab, S., Loizou, M., Tomlins, R., & Sukumar, A. (2019). Scaffolding in indoor and outdoor mobility a wearable and mobile application for senior tourism in a playable city. In A. Rocha, I. Pedrosa, {. P. Cota, & R. Goncalves (Eds.), Proceedings of CISTI 2019 - 14th Iberian Conference on Information Systems and Technologies. https://doi.org/10.23919/CISTI.2019.8760927

The growth of urban population and the challenges of an ageing society have brought to the fore the need of innovative ways to re-invent sustainable healthy ageing lifestyles and meet the growing demand on transport and residents' assistance with age... Read More about Scaffolding in indoor and outdoor mobility a wearable and mobile application for senior tourism in a playable city.

The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World (2019)
Conference Proceeding
Li, W., Hale, M. F., Buchanan, E., Winfield, A. F., Timmis, J., Hart, E., …Tyrrell, A. M. (2019). The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World. In H. Fellermann, J. Bacardit, A. Goni-Moreno, & R. Fuchslin (Eds.), The 2019 Conference on Artificial Life (95-102). https://doi.org/10.1162/isal_a_00147

The long term vision of the Autonomous Robot Evolution (ARE) project is to create an ecosystem of both virtual and physical robots with evolving brains and bodies. One of the major challenges for such a vision is the need to construct many unique ind... Read More about The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World.

Data science methodology for Internet-of-Things (2019)
Conference Proceeding
Brohi, S., Marjani, M., Hashem, I. A. T., Pillai, T. R., Kaur, S., & Amalathas, S. S. (2019). Data science methodology for Internet-of-Things. In M. H. Miraz, P. S. Excell, A. Ware, S. Soomro, & M. Ali (Eds.), International Conference for Emerging Technologies in Computing (178-186). https://doi.org/10.1007/978-3-030-23943-5_13

The journey of data from the state of being valueless to valuable has been possible due to powerful analytics tools and processing platforms. Organizations have realized the potential of data, and they are looking far ahead from the traditional relat... Read More about Data science methodology for Internet-of-Things.

Feed-forward selection of cerebellar models for calibration of robot sound source localization (2019)
Conference Proceeding
Baxendale, M. D., Nibouche, M., Secco, E. L., Pipe, A. G., & Pearson, M. J. (2019). Feed-forward selection of cerebellar models for calibration of robot sound source localization. https://doi.org/10.1007/978-3-030-24741-6_1

© 2019, Springer Nature Switzerland AG. We present a responsibility predictor, based on the adaptive filter model of the cerebellum, to provide feed-forward selection of cerebellar calibration models for robot Sound Source Localization (SSL), based o... Read More about Feed-forward selection of cerebellar models for calibration of robot sound source localization.