All Outputs (184)

A comprehensive evaluation of incremental speech recognition and diarization for conversational AI (2020)
Conference Proceeding
Addlesee, A., Yu, Y., & Eshghi, A. (2020). A comprehensive evaluation of incremental speech recognition and diarization for conversational AI. In Proceedings of the 28th International Conference on Computational Linguistics (3492-3503)

Automatic Speech Recognition (ASR) systems are increasingly powerful and more accurate, but also more numerous with several options existing currently as a service (e.g. Google, IBM, and Microsoft). Currently the most stringent standards for such sys... Read More about A comprehensive evaluation of incremental speech recognition and diarization for conversational AI.

Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks (2020)
Conference Proceeding
Nguyen, N., Nguyen, D. N., Hoang, D. T., Van Huynh, N., Nguyen, H., Nguyen, Q. T., & Dutkiewicz, E. (2020). Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks. In GLOBECOM 2020 - 2020 IEEE Global Communications Conference. https://doi.org/10.1109/globecom42002.2020.9322418

In this paper, an economic model is proposed to jointly optimize profits for participants in a heterogeneous IoT wireless-powered backscatter communication network. In the network under considerations, a power beacon and IoT devices (with various com... Read More about Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks.

Optimal Beam Association in mmWave Vehicular Networks with Parallel Reinforcement Learning (2020)
Conference Proceeding
Van Huynh, N., Nguyen, D. N., Hoang, D. T., & Dutkiewicz, E. (2020). Optimal Beam Association in mmWave Vehicular Networks with Parallel Reinforcement Learning. In GLOBECOM 2020 - 2020 IEEE Global Communications Conference. https://doi.org/10.1109/globecom42002.2020.9348240

This paper develops a beam association framework for mm Wave vehicular networks to improve the system performance in terms of handover, disconnection time, and data rate under the high mobility of vehicles. In particular, we recruit the semi Markov d... Read More about Optimal Beam Association in mmWave Vehicular Networks with Parallel Reinforcement Learning.

An ML Model for Predicting Information Check-Worthiness using a Variety of Features (2020)
Conference Proceeding
Ullah, M. Z. (2020). An ML Model for Predicting Information Check-Worthiness using a Variety of Features. In Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media (56-61)

In this communication, we introduce the important problem of information check-worthiness. We present the method we developed to automatically answer this problem. This method makes use of an elaborated information representation that combines the “i... Read More about An ML Model for Predicting Information Check-Worthiness using a Variety of Features.

Exploiting various word embedding models for query expansion in microblog (2020)
Conference Proceeding
Ahmed, S., Chy, A. N., & Ullah, M. Z. (2020). Exploiting various word embedding models for query expansion in microblog. In 2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC). https://doi.org/10.1109/R10-HTC49770.2020.9357016

Microblogs, especially Twitter, make it easier to communicate with others in a real-time manner and is treated as a valuable information source. With the increasing amount of tweets, it would be fascinating to be able to extract essential information... Read More about Exploiting various word embedding models for query expansion in microblog.

Exploring Susceptibility Measures to Persuasion (2020)
Conference Proceeding
Vargheese, J. P., Collinson, M., & Masthoff, J. (2020). Exploring Susceptibility Measures to Persuasion. In S. B. Gram-Hansen, T. S. Jonasen, & C. Midden (Eds.), Persuasive Technology. Designing for Future Change (16-29). https://doi.org/10.1007/978-3-030-45712-9_2

There is increasing evidence that indicates how personalising persuasive strategies may increase the effectiveness of persuasive technologies and behaviour change interventions. This has led to a wide range of studies exploring self reported, perceiv... Read More about Exploring Susceptibility Measures to Persuasion.

The adoption of augmented reality technologies In Hotels: From the managers' perception (2020)
Conference Proceeding
Chu, A., Law, K., & Deborah, T. (2020). The adoption of augmented reality technologies In Hotels: From the managers' perception. In Proceedings of APacCHRIE 2020 Conference (569-580)

Current studies indicated that Augmented Reality technology can enhance tourists’ experience in museums and theme parks. Despite the potential benefits of creating a better stay for the customers, there are only a handful of hotels in the world have... Read More about The adoption of augmented reality technologies In Hotels: From the managers' perception.

Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters (2020)
Conference Proceeding
Briggs, C., Fan, Z., & Andras, P. (2020). Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters. In NeurIPS 2020 Workshop: Tackling Climate Change with Machine Learning

In this proposal paper we highlight the need for privacy preserving energy demand forecasting to allay a major concern consumers have about smart meter installations. High resolution smart meter data can expose many private aspects of a consumer’s ho... Read More about Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters.

Indoor Characterization of Genetically Optimized Circular Rotational Square Hyperboloid (GOCRSH) Concentrator (2020)
Conference Proceeding
Raine, C. F., Muhammad-Sukki, F., Ramirez-Iniguez, R., Jafry, T., Ardila-Rey, J. A., & Gamio, C. (2020). Indoor Characterization of Genetically Optimized Circular Rotational Square Hyperboloid (GOCRSH) Concentrator. In 2020 47th IEEE Photovoltaic Specialists Conference (PVSC) (2600-2604). https://doi.org/10.1109/pvsc45281.2020.9300920

This paper evaluates the performance of a genetically optimized circular rotational square hyperboloid (GOCRSH) concentrator for low-concentrating photovoltaic (PV) application. The experimental analysis of 4 types of GOCRSH namely the GOCRSH_A GOCRS... Read More about Indoor Characterization of Genetically Optimized Circular Rotational Square Hyperboloid (GOCRSH) Concentrator.

Hardware Design for Autonomous Robot Evolution (2020)
Conference Proceeding
Hale, M. F., Angus, M., Buchanan, E., Li, W., Woolley, R., Le Goff, L. K., …Tyrrell, A. M. (2020). Hardware Design for Autonomous Robot Evolution. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (2140-2147). https://doi.org/10.1109/SSCI47803.2020.9308204

The long term goal of the Autonomous Robot Evolution (ARE) project is to create populations of physical robots, in which both the controllers and body plans are evolved. The transition for evolutionary designs from purely simulation environments into... Read More about Hardware Design for Autonomous Robot Evolution.

Evolution of Diverse, Manufacturable Robot Body Plans (2020)
Conference Proceeding
Buchanan, E., Le Goff, L., Hart, E., Eiben, A. E., De Carlo, M., Li, W., …Tyrrell, A. M. (2020). Evolution of Diverse, Manufacturable Robot Body Plans. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (2132-2139). https://doi.org/10.1109/SSCI47803.2020.9308434

Advances in rapid prototyping have opened up new avenues of research within Evolutionary Robotics in which not only controllers but also the body plans (morphologies) of robots can evolve in real-time and real-space. However, this also introduces new... Read More about Evolution of Diverse, Manufacturable Robot Body Plans.

PoNW: A Secure and Scalable Proof-of-Notarized-Work-Based Consensus Mechanism (2020)
Conference Proceeding
Abubakar, M. A., Jaroucheh, Z., Al-Dubai, A., & Buchanan, B. (2020). PoNW: A Secure and Scalable Proof-of-Notarized-Work-Based Consensus Mechanism. In ICVISP 2020: Proceedings of the 2020 4th International Conference on Vision, Image and Signal Processing (1-8). https://doi.org/10.1145/3448823.3448875

The original consensus algorithm - Proof of Work (PoW) has been widely utilized in the blockchain systems and is been adopted by many cryptocurrencies, such as Bitcoin and Ethereum, among many others. Nevertheless, the concept has received criticisms... Read More about PoNW: A Secure and Scalable Proof-of-Notarized-Work-Based Consensus Mechanism.

Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definition (2020)
Conference Proceeding
Howcroft, D., Belz, A., Clinciu, M., Gkatzia, D., Hasan, S. A., Mahamood, S., …Rieser, V. (2020). Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definition. In Proceedings of the 13th International Conference on Natural Language Generation (169-182)

Human assessment remains the most trusted form of evaluation in NLG, but highly diverse approaches and a proliferation of different quality criteria used by researchers make it difficult to compare results and draw conclusions across papers, with adv... Read More about Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definition.

Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training (2020)
Conference Proceeding
Panagiaris, N., Hart, E., & Gkatzia, D. (2020). Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training. In Proceedings of the 13th International Conference on Natural Language Generation (41-51)

In this paper we consider the problem of optimizing neural Referring Expression Generation (REG) models with sequence level objectives. Recently reinforcement learning (RL) techniques have been adopted to train deep end-to-end systems to directly opt... Read More about Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training.

A Design of UWB Band-Pass Filter with Variable Dual Notched Bands Using EBG Structure (2020)
Conference Proceeding
Parchin, N. O., Basherlou, H. J., Al-Yasir, Y. I., Abdulkhaleq, A. M., See, C. H., & Abd-Alhameed, R. A. (2020). A Design of UWB Band-Pass Filter with Variable Dual Notched Bands Using EBG Structure. In Proceedings of the 1st International Multi-Disciplinary Conference Theme: Sustainable Development and Smart Planning, IMDC-SDSP 2020, Cyperspace, 28-30 June 2020. https://doi.org/10.4108/eai.28-6-2020.2298174

A new design of band-pass filter (BPF) with variable dual notched bands characteristic is introduced for ultra-wideband (UWB) applications. The configuration of the proposed BPF contains a rectangular-ring stub loaded with parallel-coupled li... Read More about A Design of UWB Band-Pass Filter with Variable Dual Notched Bands Using EBG Structure.

Second Workshop on Natural Language Generation for Human-Robot Interaction (2020)
Conference Proceeding
Buschmeier, H., Ellen Foster, M., & Gkatzia, D. (2020). Second Workshop on Natural Language Generation for Human-Robot Interaction. In HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (646-647). https://doi.org/10.1145/3371382.3374853

This workshop is the second in a series bringing together the Natural Language Generation and Human-Robot Interaction communities to discuss topics of mutual interest with the goal of developing an HRI-inspired NLG shared task. The workshop website i... Read More about Second Workshop on Natural Language Generation for Human-Robot Interaction.

Modelling a field-scale compressed air energy storage in porous rock reservoirs (2020)
Conference Proceeding
Yang, L., Guo, C., Li, C., He, Q., Zhang, K., & Cai, Z. (2020). Modelling a field-scale compressed air energy storage in porous rock reservoirs. In Volume 4: Proceedings of 11th International Conference on Applied Energy, Part 3, Sweden, 2019

Compressed Air Energy Storage (CAES) is one of the promising methods to store the surplus solar and wind energy in a grid scale . In this study, we used a non-isothermal multiphase flow simulator to model a field-scale study o... Read More about Modelling a field-scale compressed air energy storage in porous rock reservoirs.

Understanding Personal Online Risk To Individuals Via Ontology Development (2020)
Conference Proceeding
Haynes, D. (2020). Understanding Personal Online Risk To Individuals Via Ontology Development. In Knowledge Organization at the Interface: Proceedings of the Sixteenth International ISKO Conference, 2020, Aalborg, Denmark (171-180). https://doi.org/10.5771/9783956507762-171

The concept of risk is widely misunderstood because of the different contexts in which it is used. This paper describes the development of an ontology of risk as a way of better understanding the nature of the potential harms individuals are exposed... Read More about Understanding Personal Online Risk To Individuals Via Ontology Development.

Commonsense-enhanced Natural Language Generation for Human-Robot Interaction (2020)
Conference Proceeding
Gkatzia, D. (2020). Commonsense-enhanced Natural Language Generation for Human-Robot Interaction. In 2nd Workshop on Natural Language Generation for Human-Robot Interaction (HRI 2020)

Commonsense is vital for human communication, as it allows us to make inferences without explicitly mentioning the context. Equipping robots with commonsense knowledge would lead to better communication between humans and robots and will allow robots... Read More about Commonsense-enhanced Natural Language Generation for Human-Robot Interaction.

Design a Monitoring System For Pathogen Detection Using Microfluidic Technology (2020)
Conference Proceeding
Kerrouche, A., Lithgow, J., & Alwis, L. (2020). Design a Monitoring System For Pathogen Detection Using Microfluidic Technology. In G. Cranch, A. Wang, M. Digonnet, & P. Dragic (Eds.), Optical Fiber Sensors Conference 2020 Special Edition. https://doi.org/10.1364/OFS.2020.Th4.6

Waterborne pathogens affect all waters globally and proceed to be a ongoing concern. The act to provide clean water by filtration is effective although has concerns. Previous methods for detection and removal of pathogens consist of a... Read More about Design a Monitoring System For Pathogen Detection Using Microfluidic Technology.