Designing a pulsed eddy current sensing set-up for cast iron thickness assessment
- Authors: Ulapane, Nalika , Nguyen, Linh , Miro, Jaime Valls , Alempijevic, Alen , Dissanayake, Gamini
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA); Siem Reap, Cambodia; 18-20 June 2017 p. 901-906
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- Description: Pulsed Eddy Current (PEC) sensors possess proven functionality in measuring ferromagnetic material thickness. However, most commercial PEC service providers as well as researchers have investigated and claim functionality of sensors on homogeneous structural steels (steel grade Q235 for example). In this paper, we present design steps for a PEC sensing set-up to measure thickness of cast iron, which is unlike steel, is a highly inhomogeneous and non-linear ferromagnetic material. The setup includes a PEC sensor, sensor excitation and reception circuits, and a unique signal processing method. The signal processing method yields a signal feature which behaves as a function of thickness. The signal feature has a desirable characteristic of being lowly influenced by lift-off. Experimental results show that the set-up is usable for Non-destructive Evaluation (NDE) applications such as cast iron water pipe assessment.
Development of a flame monitoring and control system for oxy-coal flames
- Authors: Valliappan, Palaniappan , Wilcox, Steven
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 2017 IEEE International Conference on Mechatronics, ICM 2017; Gippsland, Australia; 13th-15th February 2017 p. 482-486
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- Description: This paper presents a novel approach to the monitoring and control of oxycoal flames when using high levels of recycled flue gas. Oxycoal combustion is one approach to mitigate the emissions of carbon dioxide from coal fired utility boilers but particularly when retrofitting the technology, the recycle of high levels of flue gas can lead to combustion instability. This paper investigates an approach using three broad band photodiodes to monitor the infra-red, visible and ultra-violet emissions from an individual flame and then by a combustion of signal progressing using the Wigner-Ville transform and artificial neural networks to monitor, diagnose and then suggest control actions to maintain a stable flame that has been demonstrated at pilot scale. © 2017 IEEE.
- Description: Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017
Development of ASTRI high-temperature solar receivers
- Authors: Coventry, Joe , Arjomandi, Maziar , Asselineau, Charles-Alexis , Chinnici, Alfonso , Corsi, Clotilde , Davis, Dominic , Kim, Jin-Soo , Kumar, Apurv , Wojciech, Lipiński1 , Logie, William , Nathan, Graham , Pye, John , Saw, Woei
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 22nd SolarPACES International Conference on Concentrating Solar Power and Chemical Energy Systems SolarPACES 2016; In AIP Conference Proceedings 1850 Vol. 1850
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- Description: Three high-temperature solar receiver design concepts are being evaluated as part of the Australian Solar Thermal Research Initiative (ASTRI): a flux-optimised sodium receiver, a falling particle receiver, and an expanding-vortex particle receiver. Preliminary results from performance modelling of each concept are presented. For the falling particle receiver, it is shown how particle size and flow rate have a significant influence on absorptance. For the vortex receiver, methods to reduce particle deposition on the window and increase particle residence time are discussed. For the sodium receiver, the methodology for geometry optimisation is discussed, as well as practical constraints relating to containment materials
Dynamic content distribution for decentralized sharing in tourist spots using demand and supply
- Authors: Kamruzzaman, Joarder , Karmakar, Gour , Gondal, Iqbal , Kaisar, Shahriar
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017; Valencia, Spain; 26th-30th June 2016 p. 2121-2126
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- Description: Decentralized content sharing (DCS) is emerging as an important platform for sharing contents among smart mobile device users, where devices form an ad-hoc network and communicate opportunistically. Existing DCS approaches for tourist spot like scenarios achieve low delivery success rate and high latency as they do not focus on dynamic demand for contents which usually vary considerably with the number of visitors present or occurrence of some influencing events. The amount of available supply also changes because of the nodes leaving the area. Only way to improve content delivery service is to distribute the contents in strategic positions based on dynamic demand and supply. In this paper, we propose a dynamic content distribution (DCD) method considering dynamic demand and supply for contents in tourist spots. Simulation results validate the improvement of the proposed approach. © 2017 IEEE.
- Description: 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
Dynamically controlling exterior and interior window coverings through IoT for environmental friendly smart homes
- Authors: Karmakar, Gour , Roy, Soma , Chattopadhyay, Gopinath , Xiao, Zhigang
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 2017 IEEE International Conference on Mechatronics, ICM 2017; Gippsland, Australia; 13th-15th February 2017 p. 487-491
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- Description: Energy saving using smart home is of paramount importance to reduce heating and cooling energy consumption, and promote sustainable environment. Awnings and blinds have exhibited their effectiveness to reduce heating gain in summer and cooling loss in winter, respectively. Awnings are more effective to reduce heat gain in summer than blinds, while the opposite is true in winter. There exist many approaches in the current literature to remotely control flat curtains and blinds. However, up to our knowledge, no automatic technique is available in the literature, which can dynamically control the orientation of an exterior covering so that it can act like a blind in winter and an awning in summer. In this paper, we propose an automatic on-demand system to control the orientation and size of such exterior covering, and the turning air conditioners, heaters and lights on and off considering the rate of change of room temperature, and its lighting condition. We also discuss the properties and design of such exterior covering. A simulation model was developed to analysis the performance of our approach in terms of energy savings both in summer and winter. © 2017 IEEE.
- Description: Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017
Efficient spatio-temporal sensor deployments: A smart building application
- Authors: Linh, Nguyen , Guoqiang, Hu , Spanos, Costas J.
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 13th IEEE International Conference on Control & Automation (ICCA); Ohrid, Macedonia; 03-06 July, 2017 p. 612-617
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- Description: The paper addresses the problem of efficiently deploying sensors in spatial environments, e.g. smart buildings, for the purpose of monitoring environmental phenomena. By modelling the environmental fields using spatio-temporal Gaussian processes, a new and efficient optimality criterion of minimizing prediction uncertainties is proposed to find the best sensor locations. Though the environmental processes spatially and temporally vary, the proposed approach of choosing sensor positions is not affected by time variations, which significantly reduces computational complexity of the optimization problem. The sensor deployment problem is then solved by a practically and feasibly polynomial algorithm, where its solutions are guaranteed. The proposed approaches were implemented in a real tested space in a university building, where the obtained results are highly promising.
Engaging Namibian informal settlement community in social innovation
- Authors: Jagodick, Jana , Nashima, Etuna , Courvisanos, Jerry
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 12th European Conference on Innovation and Entrepreneurship, ECIE 2017; Paris, France; 21st-22nd September 2017 Vol. 2017-September, p. 323-329
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- Description: Investment is increasing throughout Africa. However, there are still major development difficulties in many regions. One of the major challenges is implementation of innovative solutions through social learning in disadvantaged communities. This paper reports on a research project that has been carried out in an informal settlement community in Katutura. Katutura is the poorest part of Windhoek, the capital of Namibia. In the informal settlements of Katutura live the poorest of this disadvantaged suburb. These settlements have members who lack access to water, electricity and sanitation. The project pioneers the concept of a new sanitation solution which is a social innovation that aims at enhancing communication among their members. This paper addresses three interrelated research questions pertaining to social innovation, social learning and whether transformation can happen without human change agents. At the beginning of the project, beneficial family members were actively recruited to dig holes for the water toilet tanks. After installation of ten environmental friendly toilets by ten disadvantaged families, interviews were conducted with female and male members of beneficial families, their neighbours and external contractors. The interview data was categorised into six representative case studies and analysed by using grounded theory. From this investigation emerged that such a new sanitation solution can, via social learning, play the role of social innovation. This was evident through the change of behaviour by most members who were actively or passively engaged. In this regard, new relationships were established between previously separated individuals and groups. A great number of studies emphasise the importance of human agents in the process of change. The finding of this paper suggests that social innovation itself can stimulate change if implemented by a small number of people. After implementation of social innovation by beneficial families, the communication patterns changed because their neighbours became interested in the same sanitation solution. This implies that transformation can materialise in disadvantaged communities. Tribal barriers can be overcome through social learning in the context of social innovation without a formal planned effort. These new findings are useful for educators, NGOs and government policy decision makers. © 2018 Academic Conferences and Publishing International Limited. All rights reserved.
- Description: Proceedings of the European Conference on Innovation and Entrepreneurship, ECIE
Enhancing solar power generation using gravity and fresh water pipe
- Authors: Sheikh, Ismail , Kashem, Saad , Choudhury, Tanveer
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 2017 IEEE International Conference on Mechatronics, ICM 2017; Gippsland, Australia; 13th-15th February 2017 p. 266-271
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- Description: The unsustainable nature of fossil fuels and conventional mass energy generation methods has promoted the use of renewable energy methods. Among them are solar panels which generate electricity using sunlight. However, there are numerous factors which hinder the performance of the solar panel and there are factors which increase its efficiency. Considering all those factors numerous features have been accommodated in the solar panel design to enhance the efficiency of the solar panels. Among them are: Solar Concentration, Solar Tracking, and Solar Panel Cooling. This paper covers the design, development, and experimentation of a prototype which had all these countermeasures integrated into it. The interesting aspect of this prototype was to utilize a fresh water pipe and gravity for solar panel cooling. © 2017 IEEE.
- Description: Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017
Evaluating the impact of articles with geographical distances between institutions
- Authors: Bai, Xiaomei , Hou, Jie , Du,Hongzhuang , Kong, Xiangjie , Xia, Feng
- Date: 2017
- Type: Text , Conference proceedings
- Relation: WWW '17: 26th International World Wide Web Conference; Perth Australia April 3 - 7, 2017. Published in WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion p. 1243-1244
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- Description: Evaluating the impact of scholarly papers plays an important role for addressing recruitment decision, funding allocation and promotion, etc. Yet little is known how actual geographic distance influences the impact of scholarly papers. In this paper, we leverage the law of geographic distance and citations between different institutions to weight quantum Pagerank algorithm for objectively measuring the impact of scholarly papers. The results indicate that the weighted quantum PageRank algorithm can better differentiate the impact of scholarly papers compared to PageRank algorithm.
Exploiting evolving trust relationships in the modelling of opinion formation dynamics in online social networks
- Authors: Das, Rajkumar , Kamruzzaman, Joarder , Karmakar, Gour
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017; Taipei, Taiwan; 27th-29th March 2017 p. 872-879
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- Description: Mass participation of the members of a society in discussions to resolve issues related to a topic leads to forming public opinion. The timeline of the underlying dynamics goes through several distinguishable phases, and experiences transition from one to another. After initiated by concerned individuals, it draws active attention from almost everyone, and with time progression, people's participation starts declining as the issues are resolved or lost attraction. The existing works in the literature to capture the opinion formation process pay attention to model the dynamics in its active phase and thus ignore the other phases and the corresponding phase transitions. Trust relationships among the participants dynamically shape their interactions in different stages of the dynamics. Existing works fail to incorporate trust in defining the extent of influence one has on others, as they define the social relationships in the opinion space. To address this issue, we adopt simulated annealing to model the transitional behaviour of the dynamics, and then, amalgamate peoples relationships in the trust space with that in the opinion space to define the meta-heuristics of the algorithm for capturing the dynamical properties of the process. Finally, through simulation, we observe that our model is insightful in representing peoples' evolving behaviour in the different stages of opinion formation process, and consequently, can capture the various properties of the steady-state outcomes of the dynamics. © 2017 IEEE.
- Description: Proceedings - International Conference on Advanced Information Networking and Applications, AINA
Exploiting social influence for context-aware event recommendation in event-based social networks
- Authors: Zhibo, Wang , Yongquan, Zhang , Yijie, Li , Qian, Wang , Xia, Feng
- Date: 2017
- Type: Text , Conference proceedings
- Relation: IEEE INFOCOM 2017 - IEEE Conference on Computer Communications; Atlanta, GA, USA; 01-04 May 2017 p. 1-9
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- Description: Event-based Social Networks (EBSNs) which bridge the gap between online and offline interactions among users have received increasing popularity. The unique cold-start nature makes event recommendation more challenging than traditional recommendation problems, since even for two events with the same content, they may not happen at the same time, the same location, or be organized by the same host. Existing event recommendation algorithms mainly exploit the basic context information (e.g., location, time and content), while the social influence of event hosts and group members have been ignored. In this paper, we propose a Social Information Augmented Recommender System (SIARS), which fully exploits the social influence of event hosts and group members together with basic context information for event recommendation. In particular, we combine the information of EBSNs and other social networks to characterize the social influence of event hosts, and take interactions between group members into consideration for event recommendation. In addition, we propose a new content-aware recommendation model using the topic model to find the most similar topic the event belongs to, and a new location-aware recommendation model integrating location popularity with location distribution for event recommendation. Extensive experiments on real-world datasets demonstrate that SIARS outperforms other recommendation algorithms.
Finite element analysis of rock slope stability using shear strength reduction method
- Authors: You, Greg , Al Mandalawi, Maged , Soliman, Ahmed , Dowling, Kim , Dahlhaus, Peter
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 1st GeoMEast International Congress and Exhibition on Sustainable Civil Infrastructures; Sharm El Sheikh, Egypt;15th-19th July 2017; published in Soil Testing, Soil Stability and Ground Improvement : Proceedings of the 1st GeoMEast International Congress and Exhibition, Egypt 2017 on Sustainable Civil Infrastructures (part of the Sustainable Civil Infrastructures book series) p. 227-235
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- Description: Finite element analysis incorporating the shear strength reduction method was applied to study the west slope stability of an open cut mine in Australia using Mohr–Coulomb and generalized Hoek–Brown criteria. The pit of the mine had multiphase excavations and reached 180 m in depth. The study investigated three slope configurations, namely, Stage 1 inter ramp slope 43°, Stage 2 inter ramp slope 49° and optimized Stage 2 slope 54°. When implementing the generalized Hoek–Brown failure criterion, the equivalent factor of safety was 1.96, 1.87 and 1.40 under dry slope for the three configurations, respectively. However, under partly saturated conditions, the optimised slope would have a factor of safety 1.16. Furthermore, the generalised Hoek–Brown criterion generated lower factors of safety than the Mohr–Coulomb failure criterion. The difference is related to an overestimation of the shear strength parameters by the linear Mohr–Coulomb criterion under low confining stresses compared with the non-linear Hoek–Brown.
Framework for sustainability performance assessment for manufacturing processes- A Review
- Authors: Singh, Karmjit , Sultan, Ibrahim
- Date: 2017
- Type: Text , Conference proceedings
- Relation: IOP Conference Series: Earth and Environmental Science, Volume 73; International Conference on Sustainable Energy Engineering 12–14 June 2017; Perth, Australia Vol. 73
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- Description: Manufacturing industries are facing tough competition due to increasing raw material cost and depleting natural resources. There is great pressure on the industry to produce environmental friendly products using environmental friendly processes. To address these issues modern manufacturing industries are focusing on sustainable manufacturing. To develop more sustainable societies, industries need to better understand how to respond to environmental, economic and social challenges. This paper proposed some framework and tools that accelerate the transition towards a sustainable system. The developed framework will be beneficial for sustainability assessment comparing different plans alongside material properties, ultimately helping the manufacturing industries to reduce the carbon emissions and material waste, besides improving energy efficiency. It is expected that this would be highly beneficial for determination of environmental impact of a process at early design stages. Therefore, it would greatly help the manufacturing industries for selection of process plan based on sustainable indices. Overall objective of this paper would have good impact on reducing air emissions and protecting environment. We expect this work to contribute to the development of a standard reference methodology to help further sustainability in the manufacturing sector.
Fuzzy analysis of airborne LiDAR data for rainforest boundary determination.
- Authors: Zhang, Zhenyu , Liu, Xiaoye , McDougall, Kevin , Wright, Wendy
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 6th International Conference on Telecommunications and Remote Sensing (ICTRS'17); Delft, Netherlands.; 06-07 Nov 2017 p. 48-53
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- Description: Airborne LiDAR data have advantages over passive remote sensing data in detailed description of vertical forest structure. LiDAR-derived information can potentially be used to solve such problems as forest type classification and forest boundary determination. Forest boundaries were usually represented as sharp lines that attempt to distinguish areas with different forest types. In reality, however, forest boundaries are rarely sharp or crisp, especially in the forest area with multiple canopy layers where species compositions change gradually. Fuzzy analysis offers great potential for characterising the transition zones and determining realistic forest boundaries. This study developed ways of using fuzzy analysis of airborne LiDAR data for determining rainforest boundaries. LiDAR variables were derived and used to define and calculate membership function values for both rainforest and non-rainforest. The confusion index values were then derived to illustrate the transition zones. Finally, the rainforest boundaries were successfully determined in the study area. The results demonstrated the success of proposed method for rainforest boundary determination.
Impact of friendly jammers on secrecy multicast capacity in presence of adaptive eavesdroppers
- Authors: Giti, Jishan , Srinivasan, Bala , Kamruzzaman, Joarder
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 IEEE Globecom Workshops, 36th IEEE Global Communications Conference; Singapore, Singapore; 4th-8th December 2017
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- Description: We consider the problem of security in wireless multicasting for a multiple-input multiple-output (MIMO) relay-aided system. The network suffers from a group of adaptive eavesdroppers who can act as both simple eavesdroppers and hostile jammers. This paper formulates the impact of friendly jammers to improve secured communication. We derived the expressions for secrecy multicast capacities considering the absence and presence of friendly jammers. The best relay for transmission is chosen from a group of relays that aids to achieve the maximum secrecy capacity while the best jammer is selected based on competitive interference price. Numerical results show that the achievable secrecy multicast capacity increases significantly in the presence of jammer to nullify the effect of adversaries. Results under different scenarios of varying jamming and relay powers demonstrate the efficacy of friendly jammers in providing physical layer security.
- Description: We consider the problem of security in wireless multicasting for a
Improved kernel descriptors for effective and efficient image classification
- Authors: Karmakar, Priyabrata , Teng, Shyh , Zhang, Dengsheng , Liu, Ying , Lu, Guojun
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA); Sydney, Australia; 29th November-1st December 2017 p. 195-202
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- Description: Kernel descriptors have been proven to outperform existing histogram based local descriptors as such descriptors are extracted from the match kernels which measure similarities between image patches using different pixel attributes (gradient, colour or LBP pattern). The extraction of kernel descriptors does not require coarse quantization of pixel attributes. Instead, each pixel equally participates in matching between two image patches. In this paper, by leveraging the kernel properties, we propose a unique approach which simultaneously increases the effectiveness and efficiency of the existing kernel descriptors. Specifically, this is done by improving the similarity measure between two different patches in terms of any pixel attribute. The proposed kernel descriptors are more discriminant, take less time to be extracted and have much lower dimensions. Our experiments on Scene Categories and Caltech 101 databases show that our proposed approach outperforms the existing kernel descriptors.
Improved signal interpretation for cast iron thickness assessment based on pulsed eddy current sensing
- Authors: Nguyen, Linh , Ulapane, Nalika , Miro, Jaime Valls , Dissanayake, Gamini , Munoz, Fredy
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA); Siem Reap, Cambodia; 18-20 June 2017 p. 2005-2010
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- Description: This paper presents a novel signal processing approach for computing thickness of ferromagnetic cast iron material, widely employed in older infrastructure such as water mains or bridges. Measurements are gathered from a Pulsed Eddy Current (PEC) based sensor placed on top of the material, with unknown lift-off, as commonly used during non-destructive testing (NDT). The approach takes advantage of an analytical logarithmic model proposed in the literature for the decaying voltage induced at the PEC sensor pick-up coil. An increasingly more accurate and robust algorithm is proven here by means of an Adaptive Least Square Fitting Line (ALSFL) recursive strategy, suitable to recognize the most linear part of the sensor's logarithmic output voltage for subsequent gradient computation, from which thickness is then derived. Moreover, efficiency is also gained as processing can be carried out on only one decaying voltage signal, unlike averaging over multiple measurements as is usually done in the literature. Importantly, the new signal processing methodology demonstrates highest accuracies at the lower thicknesses, a circumstance most relevant to NDT evaluation. Experiments that verify the proposed method in real-world thickness assessment of cast iron material are presented and compared with current practices, showing promising results.
Improved Tamura features for image classification using kernel based descriptors
- Authors: Karmakar, Priyabrata , Teng, Shyh , Zhang, Dengsheng , Liu, Ying , Lu, Guojun
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA); Sydney, Australia; 29th November-1st December 2017 p. 461-467
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- Description: Tamura features are based on human visual perception and have huge potential in image representation. Conventional Tamura features only work on homogeneous texture images and perform poor on generic images. Therefore, many researchers attempt to improve Tamura features and most of the improvements are based on histogram based representation. Kernel descriptors have been shown to outperform existing histogram based local features as such descriptors do not require coarse quantization of pixel attributes. Instead, in kernel descriptor framework, each pixel equally participates in matching between two image patches. In this paper, we propose a set of kernel descriptors that are based on Tamura features. Additionally, the proposed descriptors are invariant to local rotations. Experimental results show that our proposed approach outperforms the conventional Tamura features significantly.
Improving authorship attribution in twitter through topic-based sampling
- Authors: Pan, Luoxi , Gondal, Iqbal , Layton, Robert
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 30th Australasian Joint Conference on Artificial Intelligence, AI 2017 : Advances in Artificial Intelligence; Melbourne, Australia; 19th-20th August 2017; published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10400 LNAI, p. 250-261
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- Description: Aliases are used as a means of anonymity on the Internet in environments such as IRC (internet relay chat), forums and micro-blogging websites such as Twitter. While there are genuine reasons for the use of aliases, such as journalists operating in politically oppressive countries, they are increasingly being used by cybercriminals and extremist organisations. In recent years, we have seen increased research on authorship attribution of Twitter messages, including authorship analysis of aliases. Previous studies have shown that anti-aliasing of randomly generated sub-aliases yields high accuracies when linking the sub-aliases, but become much less accurate when topic-based sub-aliases are used. N-gram methods have previously been demonstrated to perform better than other methods in this situation. This paper investigates the effect of topic-based sampling on authorship attribution accuracy for the popular micro-blogging website Twitter. Features are extracted using character n-grams, which accurately capture differences in authorship style. These features are analysed using support vector machines using a one-versus-all classifier. The predictive performance of the algorithm is then evaluated using two different sampling methodologies - authors that were sampled through a context-sensitive topic-based search and authors that were sampled randomly. Topic-based sampling of authors is found to produce more accurate authorship predictions. This paper presents several theories as to why this might be the case. © Springer International Publishing AG 2017.
Industry-led mechatronics degree development in regional Australia
- Authors: Ibrahim, Yousef , Kahandawa, Gayan , Choudhury, Tanveer , Mazid, Abdul Md
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 2017 IEEE International Conference on Mechatronics, ICM 2017; Gippsland, Australia; 13th-15th February 2017 p. 419-424
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- Description: This paper presents a technique that was used in the recent development of a new Mechatronics degree in Australia. This technique addressed the local industry needs and the available resources for a well-balanced Mechatronics degree program. The degree development was based on project-based learning and industry engagement. The development of the new Mechatronics degree was made possible via a State Government grant of AU$2.4 Million which was matched by industry contribution of AU$10 Million in cash and in-kind. Since industry was a major stake holder in this degree, a specific industry survey was conducted to check the desired graduates attributes, from industry point of view. The results of this survey is also included in this papers. In addition, the program also addressed the regional industry's challenge of retaining qualified engineers via a clear pathway program for students knowledge and skills development. This paper presents industry's anticipated outputs of the academic Mechatronics program. In addition the paper also discusses the mechanisms adopted for the development of this new degree. The developed fully integrated Mechatronics program was founded on the realisation that if a person undertook a mechanical degree followed by an electronics degree followed by a computer science degree, that person is, still, NOT a Mechatronics engineer. © 2017 IEEE.
- Description: Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017