All Outputs (73)

Motion correlation: selecting objects by matching their movement (2017)
Journal Article
Velloso, E., Carter, M., Newn, J., Esteves, A., Gellersen, H., & Clarke, C. (2017). Motion correlation: selecting objects by matching their movement. ACM transactions on computer-human interaction, 24(3), Article 22. https://doi.org/10.1145/3064937

Selection is a canonical task in user interfaces, commonly supported by presenting objects for acquisition by pointing. In this article, we consider motion correlation as an alternative for selection. The principle is to represent available objects b... Read More about Motion correlation: selecting objects by matching their movement.

SCIPS: Using Experiential Learning to Raise Cyber Situational Awareness in Industrial Control System (2017)
Journal Article
Cook, A., Smith, R. G., Maglaras, L., & Janicke, H. (2017). SCIPS: Using Experiential Learning to Raise Cyber Situational Awareness in Industrial Control System. International Journal of Cyber Warfare and Terrorism, 7(2), Article 1. https://doi.org/10.401

The cyber threat to industrial control systems is an acknowledged security issue, but a qualified dataset to quantify the risk remains largely unavailable. Senior executives of facilities that operate these systems face competing requirements for inv... Read More about SCIPS: Using Experiential Learning to Raise Cyber Situational Awareness in Industrial Control System.

Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines (2017)
Journal Article
Mocanu, D. C., Bou Ammar, H., Puig, L., Eaton, E., & Liotta, A. (2017). Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines. Pattern Recognition, 69, 325-335. https://doi.org/10.1016/j

Estimation, recognition, and near-future prediction of 3D trajectories based on their two dimensional projections available from one camera source is an exceptionally difficult problem due to uncertainty in the trajectories and environment, high dime... Read More about Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines.

A novel image encryption scheme based on orthogonal matrix, skew tent map, and XOR operation (2017)
Journal Article
Ahmad, J., Khan, M. A., Ahmed, F., & Khan, J. S. (2018). A novel image encryption scheme based on orthogonal matrix, skew tent map, and XOR operation. Neural Computing and Applications, 30(12), 3847-3857. https://doi.org/10.1007/s00521-017-2970-3

Content protection is considered as an important issue in today’s world. Therefore, encryption of such contents is a challenging task for researchers. They are focusing on protection of valuable data such as image, video, and audio against different... Read More about A novel image encryption scheme based on orthogonal matrix, skew tent map, and XOR operation.

Dual-branch deep convolution neural network for polarimetric SAR image classification (2017)
Journal Article
Gao, F., Huang, T., Wang, J., Sun, J., Hussain, A., & Yang, E. (2017). Dual-branch deep convolution neural network for polarimetric SAR image classification. Applied Sciences, 7(5), https://doi.org/10.3390/app7050447

The deep convolution neural network (CNN), which has prominent advantages in feature learning, can learn and extract features from data automatically. Existing polarimetric synthetic aperture radar (PolSAR) image classification methods based on the C... Read More about Dual-branch deep convolution neural network for polarimetric SAR image classification.

Review of 'Towards a framework for inclusive STEM Education' Workshop (2017)
Journal Article
Bhardwaj, J. (2017). Review of 'Towards a framework for inclusive STEM Education' Workshop. International Journal of Gender, Science and Technology, 9(1), 73-75

No abstract available.

Fusing Bluetooth Beacon Data with Wi-Fi Radiomaps for Improved Indoor Localization (2017)
Journal Article
Kanaris, L., Kokkinis, A., Liotta, A., & Stavrou, S. (2017). Fusing Bluetooth Beacon Data with Wi-Fi Radiomaps for Improved Indoor Localization. Sensors, 17(4), 812. https://doi.org/10.3390/s17040812

Indoor user localization and tracking are instrumental to a broad range of services and applications in the Internet of Things (IoT) and particularly in Body Sensor Networks (BSN) and Ambient Assisted Living (AAL) scenarios. Due to the widespread ava... Read More about Fusing Bluetooth Beacon Data with Wi-Fi Radiomaps for Improved Indoor Localization.

Deep Learning for Quality Assessment in Live Video Streaming (2017)
Journal Article
Vega, M. T., Mocanu, D. C., Famaey, J., Stavrou, S., & Liotta, A. (2017). Deep Learning for Quality Assessment in Live Video Streaming. IEEE Signal Processing Letters, 24(6), 736-740. https://doi.org/10.1109/lsp.2017.2691160

Video content providers put stringent requirements on the quality assessment methods realized on their services. They need to be accurate, real-time, adaptable to new content, and scal-able as the video set grows. In this letter, we introduce a novel... Read More about Deep Learning for Quality Assessment in Live Video Streaming.

Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink (2017)
Journal Article
Liu, Q., Zhang, K., Liu, X., & Linge, N. (2017). Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink. International Journal of Sensor Networks, 25(2), 1. https://doi.org/10.1504/ijsnet.2017.10007397

In a traditional wireless sensor network with static sinks, sensor nodes close to the sink run out of their batteries quicker than other nodes due to the increased data traffic towards the sink. These nodes with huge data traffic are easy to become... Read More about Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink.

A Learning-based Neural Network Model for the Detection and Classification of SQL Injection Attacks (2017)
Journal Article
Sheykhkanloo, N. M. (2017). A Learning-based Neural Network Model for the Detection and Classification of SQL Injection Attacks. International Journal of Cyber Warfare and Terrorism, 7(2), 16-41. https://doi.org/10.4018/ijcwt.2017040102

Structured Query Language injection (SQLi) attack is a code injection technique where hackers inject SQL commands into a database via a vulnerable web application. Injected SQL commands can modify the back-end SQL database and thus compromise the sec... Read More about A Learning-based Neural Network Model for the Detection and Classification of SQL Injection Attacks.

Ethical ePunditry? The role of expertise in online opinion-making (2017)
Journal Article
Forrest, E., & Duff, A. S. (2017). Ethical ePunditry? The role of expertise in online opinion-making. Journal of Information Ethics, 26(1),

The use of blogs to communicate ideas, opinions and knowledge has grown over the past two decades. Social media platforms have facilitated the rise of hybridised forms of written, verbal and visual communication and opinion-making, output which we de... Read More about Ethical ePunditry? The role of expertise in online opinion-making.

VANET aided D2D Discovery: Delay Analysis and Performance (2017)
Journal Article
Chour, H., Nasser, Y., Artail, H., Kachouh, A., & Al-Dubai, A. (2017). VANET aided D2D Discovery: Delay Analysis and Performance. IEEE Transactions on Vehicular Technology, 66(9), 8059-8071. https://doi.org/10.1109/TVT.2017.2690238

The proposed solutions in the literature for integrating Device-to-Device (D2D) communication in cellular networks require added functionalities and consume valuable network resources, mainly in the discovery process. Unlike existing solutions, this... Read More about VANET aided D2D Discovery: Delay Analysis and Performance.

TetraploidSNPMap: Software for Linkage Analysis and QTL Mapping in Autotetraploid Populations Using SNP Dosage Data (2017)
Journal Article
Hackett, C. A., Boskamp, B., Vogogias, A., Preedy, K. F., & Milne, I. (2017). TetraploidSNPMap: Software for Linkage Analysis and QTL Mapping in Autotetraploid Populations Using SNP Dosage Data. Journal of Heredity, 108(4), 438-442. https://doi.org/10.109

An earlier software application of ours, TetraploidMap for Windows, enabled linkage analysis and quantitative trait locus interval mapping to be carried out in an experimental cross of an autotetraploid species, using both dominant markers such as am... Read More about TetraploidSNPMap: Software for Linkage Analysis and QTL Mapping in Autotetraploid Populations Using SNP Dosage Data.

Ethics and Brain Implants in the Military [Commentary] (2017)
Journal Article
Wigan, M. (2017). Ethics and Brain Implants in the Military [Commentary]. IEEE technology & society magazine, 36(1), 65-68. https://doi.org/10.1109/mts.2017.2654292

Definitions are a key factor when discussing the ethics of brain implants in the military. There is a world of difference between a permanent embedded rewritable chip and an active RFID-managed interface to a nervous system.

Wireless Body Area Network (WBAN): A Survey on Reliability, Fault Tolerance, and Technologies Coexistence (2017)
Journal Article
Salayma, M., Al-Dubai, A., Romdhani, I., & Nasser, Y. (2017). Wireless Body Area Network (WBAN): A Survey on Reliability, Fault Tolerance, and Technologies Coexistence. ACM computing surveys, 50(1), Article 3. https://doi.org/10.1145/3041956

Wireless Body Area Network (WBAN) has been a key element in e-health to monitor bodies. This technology enables new applications under the umbrella of different domains, including the medical field, the entertainment and ambient intelligence areas. T... Read More about Wireless Body Area Network (WBAN): A Survey on Reliability, Fault Tolerance, and Technologies Coexistence.

An intelligible implementation of FastSLAM2.0 on a low-power embedded architecture (2017)
Journal Article
Jiménez Serrata, A. A., Yang, S., & Li, R. (2017). An intelligible implementation of FastSLAM2.0 on a low-power embedded architecture. EURASIP Journal on Embedded Systems, 2017(1), Article 27 (2017). https://doi.org/10.1186/s13639-017-0075-9

The simultaneous localisation and mapping (SLAM) algorithm has drawn increasing interests in autonomous robotic systems. However, SLAM has not been widely explored in embedded system design spaces yet due to the limitation of processing recourses in... Read More about An intelligible implementation of FastSLAM2.0 on a low-power embedded architecture.

An Enhanced Route from FE to HE Graduation? (2017)
Journal Article
Meharg, D., Taylor-Smith, E., Varey, A., Mooney, C., & Dallas, S. (2017). An Enhanced Route from FE to HE Graduation?. Journal of Perspectives in Applied Academic Practice, 5(2), 85-92. https://doi.org/10.14297/jpaap.v5i2.269

This study explores student transitions from further (FE) to higher (HE) education through the Associate Student Project (ASP) and examines the effectiveness of this enhanced transition programme for direct entry students. Universities are expected t... Read More about An Enhanced Route from FE to HE Graduation?.

Application of Navigating System based on Bluetooth Smart (2017)
Journal Article
Lee, Y., Jan, S. U., & Koo, I. (2017). Application of Navigating System based on Bluetooth Smart. Journal of the Institute of Internet, Broadcasting and Communication, 17(1), 69-76. https://doi.org/10.7236/jiibc.2017.17.1.69

Bluetooth Low Energy (BLE), also known as Bluetooth Smart, has ultra-low power consumption; in fact, BLE-enabled devices can run on a single coin cell battery for several years. In addition, BLE can estimate the approximate distance between two devi... Read More about Application of Navigating System based on Bluetooth Smart.

An Adaptively Speculative Execution Strategy Based on Real-Time Resource Awareness in a Multi-Job Heterogeneous Environment (2017)
Journal Article
Liu, Q., Cai, W., Liu, Q., Shen, J., Fu, Z., Liu, X., & Linge, N. (2017). An Adaptively Speculative Execution Strategy Based on Real-Time Resource Awareness in a Multi-Job Heterogeneous Environment. KSII transactions on internet and information systems, 1

MapReduce (MRV1), a popular programming model, proposed by Google, has been well used to process large datasets in Hadoop, an open source cloud platform. Its new version MapReduce 2.0 (MRV2) developed along with the emerging of Yarn has achieved obvi... Read More about An Adaptively Speculative Execution Strategy Based on Real-Time Resource Awareness in a Multi-Job Heterogeneous Environment.

Group sparse regularization for deep neural networks (2017)
Journal Article
Scardapane, S., Comminiello, D., Hussain, A., & Uncini, A. (2017). Group sparse regularization for deep neural networks. Neurocomputing, 241, 81-89. https://doi.org/10.1016/j.neucom.2017.02.029

In this paper, we address the challenging task of simultaneously optimizing (i) the weights of a neural network, (ii) the number of neurons for each hidden layer, and (iii) the subset of active input features (i.e., feature selection). While these pr... Read More about Group sparse regularization for deep neural networks.