• On the Security Risks of the Blockchain 

  Zamani, Efpraxia D. ; He, Ying ; Phillips, Matthew (Article)

  The adoption of blockchain technology is taking place at a fast pace. Security features inherent in blockchain make it resistant to attack, but they do not make it immune, and blockchain security risks do exists. This paper ...
• Robust Predictive Speed Regulation of Converter-Driven DC Motors Via A Discrete-Time Reduced-Order GPIO 

  Yang, Jun ; Wu, Hao ; Hu, Liang ; Li, Shihua (Article)

  Converter-driven direct current (DC) motors exhibit various advantages in industry, but impose several challenges to higher-precision speed regulation in the presence of parametric uncertainties and exogenous, time-varying ...
• Dark soliton scattering in symmetric and asymmetric double potential barriers 

  Tsitoura,F. ; Anastassi, Z.A. ; Marzuola, J.L. ; Kevrekidis, P.G. ; Frantzeskakis, D.J. (Article)

  Motivated by the recent theoretical study of (bright) soliton diode effects in systems with multiple scatterers, as well as by experimental investigations of soliton-impurity interactions, we consider some prototypical ...
• Spatiotemporal algebraically localized waveforms for a nonlinear Schrödinger model with gain and loss 

  Anastassi, Z.A. ; Fotopoulos,G. ; Frantzeskakis, D.J. ; Horikis, T.P. ; Karachalios, N.I. ; Kevrekidis, P.G. ; Stratis, I.G. ; Vetas, K. (Article)

  We consider the asymptotic behavior of the solutions of a nonlinear Schrödinger (NLS) model incorporating linear and nonlinear gain/loss. First, we describe analytically the dynamical regimes (depending on the gain/loss ...
• Dark solitons near potential and nonlinearity steps 

  Tsitoura, F. ; Anastassi, Z.A. ; Marzuola, J.L. ; Kevrekidis, P.G. ; Frantzeskakis, D.J. (Article)

  We study dark solitons near potential and nonlinearity steps and combinations thereof, forming rectangular barriers. This setting is relevant to the contexts of atomic Bose-Einstein condensates (where such steps can be ...
• Broadening Aims and Building Support in Science, Technology and Innovation Policy: The Case of the European Research Area 

  Ulnicane, Inga (Article)

  The aim of this article is to analyse the evolution of the ideational framework of the most ambitious initiative in supranational research governance so far – the European Research Area (ERA), launched by the European ...
• Explicit Almost P-Stable Runge-Kutta-Nyström Methods for the Numerical Solution of the Two-Body Problem 

  Kosti, A.A. ; Anastassi, Z.A. (Article)

  In this paper, three families of explicit Runge–Kutta–Nyström methods with three stages and third algebraic order are presented. Each family consists of one method with constant coefficients and one corresponding optimized ...
• A 6(4) optimized embedded Runge–Kutta–Nyström pair for the numerical solution of periodic problems 

  Anastassi, Z.A. ; Kosti, A.A. (Article)

  In this paper an optimization of the non-FSAL embedded RKN 6(4) pair with six stages of Moawwad El-Mikkawy, El-Desouky Rahmo is presented. The new method is derived after applying phase-fitting and amplification-fitting ...
• Application of portfolio optimization to drug discovery 

  Yevseyeva, Iryna ; Lenselink, Eelke B. ; Vries, Alicede ; IJzerman, Adriaan P. ; Deutz, A. ; Emmerich, Michael T. M. (Article)

  In this work, a problem of selecting a subset of molecules, which are potential lead candidates for drug discovery, is considered. Such molecule subset selection problem is formulated as a portfolio optimization, well known ...
• Distance Learning: Lessons Learned from a UK Masters Programme 

  Carter, Jenny ; Chiclana, Francisco (Book chapter)

  The MSc Intelligent Systems (IS) and the MSc Intelligent Systems and Robotics (ISR) programmes at De Montfort University are Masters courses that are delivered both on-site and by distance learning. The courses have been ...
• Fostering Inclusivity Through Dynamic Teaching Practices 

  Khuman, A. S. (Book chapter)

  Teaching within the context of Higher Education (HE), often involves interacting with a wide variety of students, who come from, and have varying backgrounds, not just in their capabilities, but also with regards to their ...
• Compact Optimization Algorithms with Re-sampled Inheritance 

  Iacca, Giovanni ; Caraffini, Fabio (Preprint)

  Compact optimization algorithms are a class of Estimation of Distribution Algorithms (EDAs) characterized by extremely limited memory requirements (hence they are called "compact"). As all EDAs, compact algorithms build ...
• An Incremental Method to Detect Communities in Evolving Social Networks 

  Zhao, Zhongying ; Zhang, Xuejian ; Li, Chao ; Chiclana, Francisco ; Herrera-Viedma, Enrique (Article)

  Detecting communities in dynamic evolving networks is of great interest. It has received tremendous attention from researchers. One promising solution is to update communities incrementally taking the historical information ...
• Deep Learning Based Photometric Stereo from Many Images and Under Unknown Illumination 

  Malekmohamadi, Hossein (Conference)

  Shape from X is an interesting area of research in computer vision community. This topic is divided into passive and active methods. Example of passive methods is shape from texture, shape from defocus and shape from the ...
• Privacy Risk Assessment: From Art to Science, by Metrics 

  Wagner, Isabel ; Boiten, Eerke Albert (Book chapter / Conference)

  Privacy risk assessments aim to analyze and quantify the privacy risks associated with new systems. As such, they are critically important in ensuring that adequate privacy protections are built in. However, current methods ...
• Investigating Effectiveness of Sensor Placement Strategies in Contamination Detection within Water Distribution Systems 

  Zheng, F. ; Du, J. ; Diao, K. ; Zhang, T. ; Yu, T. ; Shao, Y. (Article)

  Water quality sensors placed in water distribution systems (WDSs) are critical for detecting accidental or intentional contamination intrusion. This motivates research to optimally place a limited number of sensors for a ...
• A Study on Rotation Invariance in Differential Evolution 

  Caraffini, Fabio ; Neri, Ferrante (Article)

  Epistasis is the correlation between the variables of a function and is a challenge often posed by real-world optimisation problems. Synthetic benchmark problems simulate a highly epistatic problem by performing a so-called ...
• The Optimization Ordering Model for Intuitionistic Fuzzy Preference Relations with Utility Functions 

  Gong, Zaiwu ; Zhang, Ning ; Chiclana, Francisco (Article)

  Intuitionistic fuzzy sets describe information from the three aspects of membership degree, non-membership degree and hesitation degree, which has more practical significance when uncertainty pervades qualitative decision ...
• A social network based approach for consensus achievement in multiperson decision making 

  Urena, Raquel ; Chiclana, Francisco ; Melancon, Guy ; Herrera-Viedma, Enrique (Article)

  Nowadays we are living the apogee of the Internet based technologies and consequently web 2.0 communities, where a large number of users interact in real time and share opinions and knowledge, is a generalized phenomenon. ...
• Consensus Reaching in Social Network Group Decision Making: Research Paradigms and Challenges 

  Dong, Yucheng ; Zha, Quanbo ; Zhang, Hengjie ; Kou, Gang ; Fujita, Hamido ; Chiclana, Francisco ; Herrera-Viedma, Enrique (Article)

  In social network group decision making (SNGDM), the consensus reaching process (CRP) is used to help decision makers with social relationships reach consensus. Many CRP studies have been conducted in SNGDM until now. This ...

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