Faculty of Computing, Engineering and Media

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1950s Science Fiction Cinema’s Depersonalisation Narratives in Britain
(2014-02-01) Jones, Matthew
Depersonalisation narratives in 1950s sf cinema have most frequently been understood as reflections of American anxieties about Soviet infiltration and subversion. However, these films were also popular in Britain, where anti-communist sentiment manifested in different forms. This article positions two films, Britain’s Quatermass II (Guest 1957) and America’s It Came from Outer Space (Arnold 1953), in relation to this divergent British reception context. Resisting the tendency to see the genre only in relation to the US, it suggests the possibility of a unique and largely unexplored British reception history of 1950s sf cinema.
Embargo
20 years of ETHICOMP: time to celebrate?
(Elsevier, 2015-08-10) Stahl, Bernd Carsten, 1968-; Ess, C. M.
Purpose – The purpose of this paper is to give an introduction to the special issue by providing background on the ETHICOMP conference series and a discussion of its role in the academic debate on ethics and computing. It provides the context that influenced the launch of the conference series and highlights its unique features. Finally, it provides an overview of the papers in the special issues. Design/methodology/approach – The paper combines an historical account of ETHICOMP and a review of the existing papers. Findings – ETHICOMP is one of the well-established conference series (alongside IACAP and CEPE) focused on ethical issues of information and computing. Its special features include: multidisciplinary and diversity of contributors and contributions; explicit outreach to professionals whose work is to design, build, deploy and maintain specific computing applications in the world at large; creation of knowledge that is accessible and relevant across fields and disciplines; intention of making a practical difference to development, use and policy of computing principles and artefacts; and creation of an inclusive, supportive and nurturing community across traditional knowledge silos. Originality/value – The paper is the first one to explicitly define the nature of ETHICOMP which is an important building block in the future development of the conference series and will contribute to the further self-definition of the ETHICOMP community. Keywords Ethics, Computer ethics, Computer science Paper type Viewpoint
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The 2010 UK General Election: Business as usual?
(Taylor & Francis, 2013) Savigny, Heather; Wring , D.
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2022 Index IEEE Transactions on Artificial Intelligence Vol. 3
(IEEE, 2022-12-13) Aafaq, N.; Elizondo, David
Open Access
3-D Printing of Flexible Two Terminal Electronic Memory Devices
(Materials Research Society, 2018-01-10) Salaoru, Iulia; Paul, Shashi; Maswoud , S.
Recent strategy in the electronics sector is to ascertain the ways to make cheap, flexible and environmentally friendly electronic devices. The 3D inkjet printing technology is based on the Additive Manufacturing concept and it is with no doubt capable of revolutionising the whole system of manufacturing electronic devices including: material selection; design and fabrication steps and device configuration and architecture. Thus, 3D inkjet printing technology (IJP) is not only one of the most promising technologies to reduce the harmful radiation/ heat generation but also achieve reductions in manufacturing cost. Here, we explore the potential of 3D – inkjet printing technology to provide an innovative approach for electronic devices in especially information storage elements by seeking to manufacture and characterise state-of-art fully inkjet printed two terminal electronic memory devices. In this work, ink-jettable materials (Ag and PEDOT:PSS) were printed by a piezoelectric Epson Stylus P50 inkjet printing machine on a flexible substrate. All components of the memory cells of a simple metal/active layer/metal structure were deposited via inkjet printing. The quality of the printed layers was first assessed by Nikon LABOPHOT-2 optical microscope, fitted with Nikon Camera DS-Fi1. Furthermore, an in-depth electrical characterisation of the fabricated memory cells was carried out using HP4140B picoammeter.
Open Access
3D fast convex-hull-based evolutionary multiobjective optimization algorithm
(Elsevier, 2018-06) Zhao, Jiaqi; Jiao, Licheng; Liu, Fang; Fernandes, Vitor Basto; Yevseyeva, Iryna; Xia, Shixong; Emmerich, Michael T. M.
The receiver operating characteristic (ROC) and detection error tradeoff (DET) curves have been widely used in the machine learning community to analyze the performance of classifiers. The area (or volume) under the convex hull has been used as a scalar indicator for the performance of a set of classifiers in ROC and DET space. Recently, 3D convex-hull-based evolutionary multiobjective optimization algorithm (3DCH-EMOA) has been proposed to maximize the volume of convex hull for binary classification combined with parsimony and three-way classification problems. However, 3DCH-EMOA revealed high consumption of computational resources due to redundant convex hull calculations and a frequent execution of nondominated sorting. In this paper, we introduce incremental convex hull calculation and a fast replacement for non-dominated sorting. While achieving the same high quality results, the computational effort of 3DCH-EMOA can be reduced by orders of magnitude. The average time complexity of 3DCH-EMOA in each generation is reduced from O ( n 2 log n ) to O ( n log n ) per iteration, where n is the population size. Six test function problems are used to test the performance of the newly proposed method, and the algorithms are compared to several state-of-the-art algorithms, including NSGA-III, RVEA, etc., which were not compared to 3DCH-EMOA before. Experimental results show that the new version of the algorithm (3DFCH-EMOA) can speed up 3DCH-EMOA for about 30 times for a typical population size of 300 without reducing the performance of the method. Besides, the proposed algorithm is applied for neural networks pruning, and several UCI datasets are used to test the performance.
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3D Model of partial discharge in defects with different sizes and positions in power cable for distribution and transmission networks
(IET, 2020-10-14) Ragusa, Antonella; Sasse, Hugh; Duffy, A. P.
The knowledge of partial discharge (PD) phenomena inside electrical insulation of power cables is an important issue for assessing the insulation condition and its degradation state, obtaining information about the likelihood of failure. PDs cause signals to propagate along the cable, as noise phenomena, and contribute to the insulation degradation, culminating in a disruptive fault with the interruption of power supply. Therefore, PDs are considered the best ‘early warning’ indicators of insulation degradation and their modelling, with the development of on-line PDs location methods, are important topics to increase the networks’ electricity security. In this study, a three-dimensional (3D) model of PD events using the CST STUDIO® Dassault software is proposed. PDs inside air inclusions in epoxy-resin are analysed with different shapes, positions and sizes of the defect. The electric-field distribution is evaluated with the conduction current inside the void and the apparent charges induced on the electrode. The effectiveness of the model is validated by comparing the simulation results with other published experimental results. Finally, a description of a 3D–1D hybrid model useful to describe the propagation of PD signals in power networks is given.
Open Access
3D non-invasive inspection of the skin lesions by close-range and low-cost photogrammetric techniques
(International Society for Stereology & Image Analysis, 2017) Orun, A.; Goodyer, E. N.; Smith, Geoff
In dermatology, one of the most common causes of skin abnormality is an unusual change in skin lesion structure which may exhibit very subtle physical deformation of its 3D shape. However the geometrical sensitivity of current cost-effective inspection and measurement methods may not be sufficient to detect such small progressive changes in skin lesion structure at micro-scale. Our proposed method could provide a low-cost, non-invasive solution by a compact system solution to overcome these shortcomings by using close-range photogrammetric imaging techniques to build a 3D surface model for a continuous observation of subtle changes in skin lesions and other features.
Open Access
3D printing of bone scaffolds with hybrid biomaterials
(Elsevier, 2018-09-29) Bankole, I.; Oladapo, S.; Adeoye, A.O.M.; Zahedi, S. A.
In this research, a novel hybrid material bone implant manufacturing through the integration of two materials using additive manufacturing (AM) technology is proposed. Biomimetic application can manufacture high strength biomechanical implants with optimised geometry and mass. The combination of polymers allows a significant leap in the development and production of a great diversity of components and applications of biomaterials. A novel hybrid scaffold with a poly lactic acid (PLA) matrix reinforced with carbohydrate particles (cHA) is analysed using digital surface software in the mass proportions of 100/0, 95/5, 90/10 and 80/20 for application in tissue and regenerative engineering, seeking a higher proposition strength of PLA. Filaments are used to fabricate scaffolds by 3D printing, using the fused deposition method. The frameworks are submitted to bioactivity tests, surface roughness evaluation, apparent porosity and mechanical analysis. Analysis of the microstructure of the composite particle evaluates the 3D surface luminance structure and the profile structure. Cross-sectional views of the specimens are extracted and analysed, and the surface roughness, waviness profile, and Gaussian filter of the structures are observed. In summary the structures are checked and analysed by SEM and EDS where possible, to observe the bioactive behaviour of the materials. The relationship between cHA content and roughness is shown to be proportional. The mechanical properties are shown to be affected by the reduced interaction between the PLA matrix and the cHA particles
Open Access
3D printing of PEEK and its composite to increase biointerfaces as a biomedical material-A review
(Elsevier, 2021-03-26) Oladapo, Bankole I.; Zahedi, S. A.; Ismail, S.O.; Omigbodun, F.T.
Poly ether-ether-ketone (PEEK) is a polymer with better lignin biocompatibility than other polymers. It is good for biomedical engineering applications. This research summarises the outcomes of an evaluation conducted on PEEK material composites, such as cellular calcium hydroxyapatite (CHAp) for medical applications. Prospects of PEEK for medical implant are highlighted. Critical analysis and review on 3D printing of PEEK, CHAp and their biological macromolecular behaviours are presented. An electronic search was carried out on Scupos database, Google search and peer-reviewed papers published in the last ten years. Because of the extraordinary strength and biological behaviours of PEEK and its composite of CHAp, 3D-printed PEEK has several biomedical applications, and its biological macromolecular behaviour leads to health sustainability. This work highlights its biological macromolecular behaviours as a bone implant material and the optimum 3D printing process for PEEK and CHAp for medical applications. The current problems with printing PEEK and CHAp are investigated along with their possible uses. Possible solutions to improve the 3D printability of PEEK and CHAp are explained based on scientific mechanisms. This detailed report stands to benefit both scientific community and medical industry to enhance 3D printing concepts for PEEK and CHAp.
Open Access
3D printing of PEEK-based medical devices
(Infinite Science Publishing, 2019-09-12) Tafaoli-Masoule, Mojtaba; Shakeri, Mohsen; Seitz, Herman; Vaezi, Mohammad; Zahedi, S. A.
Polyether-ether-ketone (PEEK) is an excellent thermoplastic alternative to metallic biomaterials which is used for loadbearing applications due to its high strength and stiffness, and biocompatibility with no cytotoxic effects. However, a potential clinical concern is that PEEK alone is not bioactive enough, and thus has limited fixation to bone. To overcome this problem, bioactive materials and/or porosity are incorporated into PEEK medical devices. The latest developments in these two strategies are presented. in this paper. Bioactive PEEK/hydroxyapatite (HA) prepared by integration of 3D printing and compression molding is presented in this paper. In addition, nozzle and build plate temperatures for 3D printing of porous PEEK were optimized using genetic algorithm (GA) to achieve the highest mechanical strength for load bearing applications such as spinal fusion cages.
Open Access
3D printing of PEEK–cHAp scaffold for medical bone implant
(Springer, 2020-10-21) Oladapo, Bankole I.; Zahedi, S. A.; Ismail, Sikiru O.; Omigbodun, Francis T.; Bowoto, Oluwole K.; Olawumi, Mattew A.; Muhammad, Musa A.
The major drawback associated with PEEK implants is their biologically inert surface, which caused unsatisfactory cellular response and poor adhesion between the implants and surrounding soft tissues against proper bone growth. In this study, polyetheretherketone (PEEK) was incorporated with calcium hydroxyapatite (cHAp) to fabricate a PEEK–cHAp biocomposite, using the fused deposition modeling (FDM) method and a surface treatment strategy to create microporous architectures onto the filaments of PEEK lattice scaffold. Also, nanostructure and morphological tests of the PEEK–cHAp biocomposite were modeled and analyzed on the FDM-printed PEEK–cHAp biocomposite sample to evaluate its mechanical and thermal strengths as well as in vitro cytotoxicity via a scanning electron microscope (SEM). A technique was used innovatively to create and investigate the porous nanostructure of the PEEK with controlled pore size and distribution to promote cell penetration and biological integration of the PEEK–cHAp into the tissue. In vivo tests demonstrated that the surface-treated micropores facilitated the adhesion of newly regenerated soft tissues to form tight implant–tissue interfacial bonding between the cHAp and PEEK. The results of the cell culture depicted that PEEK–cHAp exhibited better cell proliferation attachment spreading and higher alkaline phosphatase activity than PEEK alone. Apatite islands formed on the PEEK–cHAp composite after immersion in simulated body fluid of Dulbecco's modified Eagle medium (DMEM) for 14 days and grew continuously with more or extended periods. The microstructure treatment of the crystallinity of PEEK was comparatively and significantly different from the PEEK–cHAp sample, indicating a better treatment of PEEK–cHAp. The in vitro results obtained from the PEEK–cHAp biocomposite material showed its biodegradability and performance suitability for bone implants. This study has potential applications in the field of biomedical engineering to strengthen the conceptual knowledge of FDM and medical implants fabricated from PEEK–cHAp biocomposite materials.
Open Access
3D printing of surface characterisation and finite element analysis improvement of PEEK-HAP-GO in bone implant
(Springer, 2019-11-28) Chong, Seng Kwong; Malachi, Idowu; Oladapo, Bankole I.; Zahedi, S. A.; Omigbodun, F.T.
Research and development of polyetheretherketone (PEEK) composites with high thermal conductivities and ideal thermal stabilities have become one of the hot topics in composites. However, not all PEEK composites have the necessary characteristics adequate fracture toughness to resist forces and crack propagation, with an improved mechanical and structural properties. This research evaluates a novel computational surface characterisation and finite element analysis (FEA) of polyetheretherketone and hydroxyapatite graphene oxide (PEEK-HAP-GO) in the process of 3D printing to improve fracture toughness to resist forces and crack propagation. It also focuses on increasing the hydrophilicity, surface roughness, and coating osteoconductive of PEEK-HAP-GO for the bone implant. Compression and tensile tests were performed to investigate the mechanical properties of the PEEK-HAP-GO structure. The addition of calcium phosphate and the incorporation of porosity in PEEK-HAP-GO has been identified as an effective way to improve the osseointegration of bone-implant interfaces of PEEK-HAP-GO. The further analytical structure of the particle was performed, evaluating the surface luminance structure and the profile structure of composite material in 3D printing, analysing the profile curve of the nanostructure from the scanning electron microscope (SEM). The results of the uniaxial compression tests in new PEEK-HAP-GO biodegradable materials show good compressive strength suitable for loading applications. It shows melt-blending with bioactive nanoparticles can be used to produce bioactive nanocomposites like HAP-GO and is used to modify the surface structure of PEEK implants in order to make it more bioactive.
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3D-MSFC: A 3D multi-scale features compression method for object detection
(Elsevier, 2024-11-17) Li, Zhengxin; Tian, Chongzhen; Yuan, Hui; Lu, Xin; Malekmohamadi, Hossein
As machine vision tasks rapidly evolve, a new concept of compression, namely video coding for machines (VCM), has emerged. However, current VCM methods are only suitable for 2D machine vision tasks. With the popularization of autonomous driving, the demand for 3D machine vision tasks has significantly increased, leading to an explosive growth in LiDAR data that requires efficient transmission. To address this need, we propose a machine vision-based point cloud coding paradigm inspired by VCM. Specifically, we introduce a 3D multi-scale features compression (3D-MSFC) method, tailored for 3D object detection. Experimental results demonstrate that 3D-MSFC achieves less than a 3% degradation in object detection accuracy at a compression ratio of 2796×. Furthermore, its low-profile variant, 3D-MSFC-L, achieves less than a 2% degradation in accuracy at a compression ratio of 463×. The above results indicate that our proposed method can provide an ultra-high compression ratio while ensuring no significant drop in accuracy, greatly reducing the amount of data required for transmission during each detection. This can significantly lower bandwidth consumption and save substantial costs in application scenarios such as smart cities.
Open Access
3D-printed biomimetic bone implant polymeric composite scaffolds
(Springer, 2023-04-14) Oladapo, Bankole I. ; Ismail, Sikiru; Zahedi, S.A.; Fernando, Wattala; Ikumapayi, Omolayo
This research introduced a new poly-ether-ether-ketone calcium hydroxyapatite (PEEK-cHAp) composite for a convenient, fast and inexpensive femur bone-implant scaffold with different lattice structures to mimic natural bone structure. Fused Deposition Modelling (FDM) was used to print a hybrid PEEK-based filament-bearing bioactive material suited for developing cHAp. Using FDM, the same bone scaffold PEEK will be fabricated, depending on the shape of the bone fracture. The scaffolds were examined for in-vitro bioactivity by immersing them in a simulated bodily fluid (SBF) solution. Furthermore, in-vitro cytotoxicity tests validated the suitability of the composite materials employed to create minimal toxicity of the scaffolds. After spreading PEEK nanoparticles in the grains, the suggested spherical nanoparticles cell expanded over time. The motif affected the microstructure of PEEK-cHAp in terms of grain size and 3D shape. The results established the proposed optimum design and suitable material for prospective bone implants, as required for biomimetic artificial bone regeneration and healing.
Open Access
3DAttGAN: A 3D attention-based generative adversarial network for joint space-time video super-resolution
(IEEE, 2024-03-18) Fu, Congrui; Yuan, Hui; Shen, Liquan; Hamzaoui, Raouf; Zhang, Hao
Joint space-time video super-resolution aims to increase both the spatial resolution and the frame rate of a video sequence. As a result, details become more apparent, leading to a better and more realistic viewing experience. This is particularly valuable for applications such as video streaming, video surveillance (object recognition and tracking), and digital entertainment. Over the last few years, several joint space-time video super-resolution methods have been proposed. While those built on deep learning have shown great potential, their performance still falls short. One major reason is that they heavily rely on two-dimensional (2D) convolutional networks, which restricts their capacity to effectively exploit spatio-temporal information. To address this limitation, we propose a novel generative adversarial network for joint space-time video super-resolution. The novelty of our network is twofold. First, we propose a three-dimensional (3D) attention mechanism instead of traditional two-dimensional attention mechanisms. Our generator uses 3D convolutions associated with the proposed 3D attention mechanism to process temporal and spatial information simultaneously and focus on the most important channel and spatial features. Second, we design two discriminator strategies to enhance the performance of the generator. The discriminative network uses a two-branch structure to handle the intra-frame texture details and inter-frame motion occlusions in parallel, making the generated results more accurate. Experimental results on the Vid4, Vimeo-90K, and REDS datasets demonstrate the effectiveness of the proposed method. The source code is publicly available at https://github.com/FCongRui/3DAttGan.git.
Embargo
A 6(4) optimized embedded Runge–Kutta–Nyström pair for the numerical solution of periodic problems
(Elsevier, 2014-07-30) Anastassi, Zacharias; Kosti, Athinoula A.
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 and has variable coefficients. The preservation of the algebraic order is verified and the principal term of the local truncation error is evaluated. Furthermore, periodicity analysis is performed, which reveals that the new method is ‘‘almost’’ P-stable. The efficiency of the new method is measured via the integration of several initial value problems.
Open Access
9 Squares: Framing Data Privacy Issues
(Winchester University Press, 2017-04) Boiten, Eerke Albert
In order to frame discussions on data privacy in varied contexts, this paper introduces a categorisation of personal data along two dimensions. Each of the nine resulting categories offers a significantly different flavour of issues in data privacy. Some issues can also be perceived as a tension along a boundary between different categories. The first dimension is data ownership: who holds or publishes the data. The three possibilities are “me”, i.e. the data subject; “us”, where the data subject is part of a community; and “them”, where the data subject is indeed a subject only. The middle category contains social networks as the most interesting instance. The amount of control for the data subject moves from complete control in the “me” category to very little at all in the “them” square – but the other dimension also plays a role in that. The second dimension has three possibilities, too, focusing on the type of personal data recorded: “attributes” are what would traditionally be found in databases, and what one might think of first for “data protection”. The second type of data is “stories”, which is personal data (explicitly) produced by the data subjects, such as emails, pictures, and social network posts. The final type is “behaviours”, which is (implicitly) generated personal data, such as locations and browsing histories. The data subject has very little control over this data, even in the “us” category. This lack of control, which is closely related to the business models of the “us” category, is likely the major data privacy problem of our time.
Open Access
A bi-objective low-carbon economic scheduling method for cogeneration system considering carbon capture and demand response
(Elsevier, 2023-12-14) Pang, Xinfu; Wang, Yibao; Yang, Shengxiang; Cai, Lei; Yu, Yang
Carbon capture and storage (CCS), energy storage (ES), and demand response (DR) mechanisms are introduced into a cogeneration system to enhance their ability to absorb wind energy, reduce carbon emissions, and improve operational efficiency. First, a bi-objective low-carbon economic scheduling model of a cogeneration system considering CCS, ES, and DR was developed. In this model, the ES and CCS remove the coupling between power generation and heating. The DR mechanism, which is based on the time-of-use electricity price and heating comfort, further enhanced the flexibility of the system. In addition, an improved bare-bones multi-objective particle swarm optimisation (IBBMOPSO) was designed to directly obtain the Pareto front of the low-carbon economy scheduling model. The particle position update mode was improved to balance global and local search capabilities in various search stages. The Taguchi method was used to calibrate the algorithm parameters. The inverse generational distance (IGD), hypervolume (HV), and maximum spread (MS) were used to evaluate the distribution and convergence performance of the algorithm. The improved technique for order preference by similarity to an ideal solution (TOPSIS) method was utilised to obtain the optimal compromise solution. Finally, the proposed method was tested on a cogeneration system in Northeast China. According to the comparison results, the average economic cost of the cogeneration system considering CCS, ES, and DR was reduced by approximately 1.13%, and carbon emissions were reduced by 6.79%. The IBBMOPSO is more competitive than the NSGA-II, MOWDO, MOMA, MOPSO, and BBMOPSO in low-carbon economic scheduling for the cogeneration system.
Open Access
A bilateral negotiation mechanism by dynamic harmony threshold for group consensus decision making
(Elsevier, 2024-03-16) Cao, Mingshuo; Chiclana, Francisco; Liu, Yujia; Wu, Jian; Herrera-Viedma, Enrique
This article proposes a framework for bilateral negotiation mechanism to deal the case the concordant decision-makers (DMs) coalition cannot be constructed, which resolves the limitations of the existing group decision making methods. Bilateral negotiation means a process in which any two involved DMs change their own opinions based on each other’s opinions, avoiding the formation of group coalitions and the coercion of individual DMs. It can not only improve group consensus by interaction between individual DMs, but also considers the limited compromise behavior of DMs in the consensus bargaining process. The key contributions of this article contain: (1) It investigates the concept of ‘harmony threshold’ by combining the consensus levels of individual DMs and the number of group members to explain the limited compromise behavior of DMs. (2) it proposes a novel bilateral negotiation consensus mechanism with personalized compromise behavior with the group consensus threshold as the objective function and personalized harmony thresholds as constraints to help any two discording DMs partly to adopt each other’s opinions. And (3) It develops the ranking difference level (RDL) to measure the deviation degree between the final ranking of alternatives and all the DMs’ original rankings of alternatives. The research found that the proposed mechanism can reduce consensus cost by 40% and ranking difference by 5%.

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