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Full-Text Articles in Science and Technology Studies
An Adaptive Feed-Forward Phase Locked Loop For Grid Synchronization Of Renewable Energy Systems Under Wide Frequency Deviations, Aravind Chellachi Kathiresan, Jeyaraj Pandiarajan, Asokan Sivaprakash, Thanikanti Sudhakar Babu, Md Rabiul Islam
An Adaptive Feed-Forward Phase Locked Loop For Grid Synchronization Of Renewable Energy Systems Under Wide Frequency Deviations, Aravind Chellachi Kathiresan, Jeyaraj Pandiarajan, Asokan Sivaprakash, Thanikanti Sudhakar Babu, Md Rabiul Islam
Faculty of Engineering and Information Sciences - Papers: Part B
Synchronization is a crucial problem in the grid-connected inverter’s control and operation. A phase-locked loop (PLL) is a typical grid synchronization strategy, which ought to have a high resistance to power system uncertainties since its sensitivity influences the generated reference signal. The traditional PLL catches the phase and frequency of the input signal via the feedback loop filter (LF). In general, to enhance the steady-state capability during distorted grid conditions generally, a filter tuned for nominal frequency is used. This PLL corrects large frequency deviations around the nominal frequency, which increases the PLL’s locking time. Therefore, this paper presents an …
Thermal Perceptions, Preferences And Adaptive Behaviours Of Occupants Of Nursing Homes, Federico Tartarini, Paul Cooper, Richard Fleming
Thermal Perceptions, Preferences And Adaptive Behaviours Of Occupants Of Nursing Homes, Federico Tartarini, Paul Cooper, Richard Fleming
Faculty of Engineering and Information Sciences - Papers: Part B
While the rapid increase in the fraction of people aged over 65 is driving a substantial increase in the number of people living in nursing homes, there has been very limited previous research carried out on how residents of nursing homes perceive their thermal environment and there is a lack of thermal comfort guidelines for the aged care sector. This article reports on a study to investigate thermal perceptions, preferences and adaptive behaviours of occupants in five nursing homes. Participants were asked to complete a questionnaire while local environmental parameters were monitored in their near proximity using portable equipment. Not …
Towards Massive Data And Sparse Data In Adaptive Micro Open Educational Resource Recommendation: A Study On Semantic Knowledge Base Construction And Cold Start Problem, Geng Sun, Tingru Cui, Ghassan Beydoun, Shiping Chen, Fang Dong, Dongming Xu, Jun Shen
Towards Massive Data And Sparse Data In Adaptive Micro Open Educational Resource Recommendation: A Study On Semantic Knowledge Base Construction And Cold Start Problem, Geng Sun, Tingru Cui, Ghassan Beydoun, Shiping Chen, Fang Dong, Dongming Xu, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part B
Micro Learning through open educational resources (OERs) is becoming increasingly popular. However, adaptive micro learning support remains inadequate by current OER platforms. To address this, our smart system, Micro Learning as a Service (MLaaS), aims to deliver personalized OER with micro learning to satisfy their real-time needs.
Assisting Open Education Resource Providers And Instructors To Deal With Cold Start Problem In Adaptive Micro Learning: A Service Oriented Solution, Geng Sun, Tingru Cui, Dongming Xu, Huaming Chen, Shiping Chen, Jun Shen
Assisting Open Education Resource Providers And Instructors To Deal With Cold Start Problem In Adaptive Micro Learning: A Service Oriented Solution, Geng Sun, Tingru Cui, Dongming Xu, Huaming Chen, Shiping Chen, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part B
No abstract provided.
A Framework Of Mlaas For Facilitating Adaptive Micro Learning Through Open Education Resources In Mobile Environment, Geng Sun, Tingru Cui, Wanwu Guo, Shiping Chen, Jun Shen
A Framework Of Mlaas For Facilitating Adaptive Micro Learning Through Open Education Resources In Mobile Environment, Geng Sun, Tingru Cui, Wanwu Guo, Shiping Chen, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part B
No abstract provided.
Organizing Online Computation For Adaptive Micro Open Education Resource Recommendation, Geng Sun, Tingru Cui, Ghassan Beydoun, Shiping Chen, Dongming Xu, Jun Shen
Organizing Online Computation For Adaptive Micro Open Education Resource Recommendation, Geng Sun, Tingru Cui, Ghassan Beydoun, Shiping Chen, Dongming Xu, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part B
Our previous work, Micro Learning as a Service (MLaaS), aimed to deliver adaptive micro open education resources (OERs). However, relying solely on the offline computation, the recommendation lacks rationality and timeliness. It is also difficult to make the first recommendation to a new learner. In this paper we introduce the organization of the online computation of the MLaaS. It targets at solving the cold start problem due to the shortage of learner information and real-time updates of the learner-micro OER profile
Rational And Self-Adaptive Evolutionary Extreme Learning Machine For Electricity Price Forecast, Chixin Xiao, Zhao Y. Dong, Yan Xu, Ke Meng, Xun Zhou, Xin Zhang
Rational And Self-Adaptive Evolutionary Extreme Learning Machine For Electricity Price Forecast, Chixin Xiao, Zhao Y. Dong, Yan Xu, Ke Meng, Xun Zhou, Xin Zhang
Faculty of Engineering and Information Sciences - Papers: Part A
Electricity price forecast is of great importance to electricity market participants. Given the sophisticated time-series of electricity price, various approaches of extreme learning machine (ELM) have been identified as effective prediction approaches. However, in high dimensional space, evolutionary extreme learning machine (E-ELM) is time-consuming and difficult to converge to optimal region when just relying on stochastic searching approaches. In the meanwhile, due to the complicated functional relationship, objective function of E-ELM seems difficult also to be mined directly for some useful mathematical information to guide the optimum exploring. This paper proposes a new differential evolution (DE) like algorithm to enhance …
Vehicle Routing Problem With Stochastic Demand (Vrpsd): Optimisation By Neighbourhood Search Embedded Adaptive Ant Algorithm (Ns-Aaa), M Nagalakshmi, Mukul Tripathi, Nagesh Shukla, Manoj Tiwari
Vehicle Routing Problem With Stochastic Demand (Vrpsd): Optimisation By Neighbourhood Search Embedded Adaptive Ant Algorithm (Ns-Aaa), M Nagalakshmi, Mukul Tripathi, Nagesh Shukla, Manoj Tiwari
Nagesh Shukla
Taking into account the real world applications, this paper considers a vehicle routing problem with stochastic demand (VRPSD) in which the customer demand has been modelled as a stochastic variable. Considering the computational complexity of the problem and to enhance the algorithm performance, a neighbourhood search embedded adaptive ant algorithm (ns-AAA) is proposed as an improvement to the existing ant colony optimisation. The proposed metaheuristic adapts itself to maintain an adequate balance between exploitation and exploration throughout the run of the algorithm. The performance of the proposed methodology is benchmarked against a set of test instances that were generated using …
Towards Bringing Adaptive Micro Learning Into Mooc Courses, Geng Sun, Tingru Cui, Kuanching Li, Dongming Xu, Shiping Chen, Jun Shen, Wanwu Guo
Towards Bringing Adaptive Micro Learning Into Mooc Courses, Geng Sun, Tingru Cui, Kuanching Li, Dongming Xu, Shiping Chen, Jun Shen, Wanwu Guo
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper we illustrate a proposal with regard to providing learners adaptive micro learning experiences, which can be fulfilled within fragmented time pieces. The framework of our system is demonstrated, while it aims to deliver customized micro learning contents taking into account learners’ specific demands, learning styles, preference and context.
Development Of An Mre Adaptive Tuned Vibration Absorber With Self-Sensing Capability, Shuaishuai Sun, Jian Yang, Weihua Li, Huaxia Deng, Haiping Du, Gursel Alici
Development Of An Mre Adaptive Tuned Vibration Absorber With Self-Sensing Capability, Shuaishuai Sun, Jian Yang, Weihua Li, Huaxia Deng, Haiping Du, Gursel Alici
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, self-sensing technology was introduced into an adaptive tuned vibration absorber, incorporating a laminated magnetorheological elastomer (MRE) structure, a hybrid magnetic system and a self-sensing component. The adoption of the laminated MRE structure and the hybrid magnetic system enables the absorber to have higher lateral flexibility and a wider effective frequency range. The integration of the self-sensing capability allows the absorber to operate without sensors and, at the same time, greatly reduces costs, required space and maintenance. A series of experiments were conducted to measure the frequency shift property, to verify the self-sensing capability and to evaluate its …
Adaptive Precision Floating Point Lll, Thomas Plantard, Willy Susilo, Zhenfei Zhang
Adaptive Precision Floating Point Lll, Thomas Plantard, Willy Susilo, Zhenfei Zhang
Professor Willy Susilo
The LLL algorithm is one of the most studied lattice basis reduction algorithms in the literature. Among all of its variants, the floating point version, also known as L2, is the most popular one, due to its efficiency and its practicality. In its classic setting, the floating point precision is a fixed value, determined by the dimension of the input basis at the initiation of the algorithm. We observe that a fixed precision overkills the problem, since one does not require a huge precision to handle the process at the beginning of the reduction. In this paper, we propose an …
Adaptive Stochastic Energy Flow Balancing In Smart Grid, Hassan Shirzeh, Fazel Naghdy, Philip Ciufo, Montserrat Ros
Adaptive Stochastic Energy Flow Balancing In Smart Grid, Hassan Shirzeh, Fazel Naghdy, Philip Ciufo, Montserrat Ros
Dr Philip Ciufo
A smart grid can be considered as an unstructured network of distributed interacting nodes represented by renewable energy sources, storage and loads. The nodes emerge or disappear in a stochastic manner due to the intermittent nature of natural sources such as wind speed and solar irradiation. Prediction and stochastic modelling of electrical energy flow is a critical characteristic in such a network to achieve load balancing and/or peak shaving in order to minimise the fluctuation between off peak and peak demand by power consumers. Before contributing energy to the network, a node acquires information about other nodes in the grid …
Adaptive And Robust Feature Selection For Low Bitrate Mobile Augmented Reality Applications, Yi Cao, Christian H. Ritz, Raad Raad
Adaptive And Robust Feature Selection For Low Bitrate Mobile Augmented Reality Applications, Yi Cao, Christian H. Ritz, Raad Raad
Faculty of Engineering and Information Sciences - Papers: Part A
Mobile augmented reality applications rely on automatically matching a captured visual scene to an image in a database. This is typically achieved by deriving a set of features for the captured image, transmitting them through a network and then matching with features derived for a database of reference images. A fundamental problem is to select as few and robust features as possible such that the matching accuracy is invariant to distortions caused by camera capture whilst minimising the bit rate required for their transmission. In this paper, novel feature selection methods are proposed, based on the entropy of the image …
Optimal Adaptive Wireless Body Area Networks For High Speed In Health Services, Miftadi Sudjai, Le Chung Tran, Farzad Safaei, Son Lam Phung
Optimal Adaptive Wireless Body Area Networks For High Speed In Health Services, Miftadi Sudjai, Le Chung Tran, Farzad Safaei, Son Lam Phung
Faculty of Engineering and Information Sciences - Papers: Part A
Adaptive ultra-wideband wireless body area networks have been proposed as one of feasible mHealth platforms offering a high-speed, robust mobile health service. The error performance of such sytems outperforms non-adaptive systems by up to 4 dB. To further improve the error performance, the optimization of adaptive parameters is investigated in this paper. Simulation results show that the proposed optimal adaptive systems achieves a 2 dB gain with respect to bit error rate (BER). This improvement is equivalent to extra reduction of the power consumption up to 37% in these networks, thus increasing the longevity and reliability of mHealth services.
Adaptive Antenna Selection For Energy-Efficient Mimo-Ofdm Wireless Systems, Ngoc Phuc Le, Le Chung Tran, Farzad Safaei
Adaptive Antenna Selection For Energy-Efficient Mimo-Ofdm Wireless Systems, Ngoc Phuc Le, Le Chung Tran, Farzad Safaei
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, we investigate energy-efficiency in antenna selection OFDM-based systems. We show that an OFDM system with conventional antenna selection approaches, including per-subcarrier selection (i.e., selecting antennas independently for each subcarrier) and bulk-selection (i.e., choosing the same antennas for all subcarriers), suffers from a significant loss in energy-efficiency. To achieve a better energy-efficiency performance, we propose an adaptive antenna selection scheme where both the number of active RF (radio frequency) chains and the antenna indices are selected depending on the channel condition. This selection scheme could be implemented by exhaustive search. Moreover, we develop an algorithm that achieves a …
Speech Enhancement With An Acoustic Vector Sensor: An Effective Adaptive Beamforming And Post-Filtering Approach, Yuexian Zou, Peng Wang, Yong Wang, Christian Ritz, Jiangtao Xi
Speech Enhancement With An Acoustic Vector Sensor: An Effective Adaptive Beamforming And Post-Filtering Approach, Yuexian Zou, Peng Wang, Yong Wang, Christian Ritz, Jiangtao Xi
Faculty of Engineering and Information Sciences - Papers: Part A
Speech enhancement has an increasing demand in mobile communications and faces a great challenge in a real ambient noisy environment. This paper develops an effective spatialfrequency domain speech enhancement method with a single acoustic vector sensor (AVS) in conjunction with minimum variance distortionless response (MVDR) spatial filtering and Wiener post-filtering (WPF) techniques. In remote speech applications, the MVDR spatial filtering is effective in suppressing the strong spatial interferences and the Wiener postfiltering is considered as a popular and powerful estimator to further suppress the residual noise if the power spectral density (PSD) of target speech can be estimated properly. With …
An Adaptive Neuro Fuzzy Hybrid Control Strategy For A Semiactive Suspension With Magneto Rheological Damper, Pipit Wahyu Nugroho, Weihua Li, Haiping Du, Gursel Alici, Jian Yang
An Adaptive Neuro Fuzzy Hybrid Control Strategy For A Semiactive Suspension With Magneto Rheological Damper, Pipit Wahyu Nugroho, Weihua Li, Haiping Du, Gursel Alici, Jian Yang
Faculty of Engineering and Information Sciences - Papers: Part A
The main function of a vehicle suspension system is to isolate the vehicle body from external excitation in order to improve passenger comfort and road holding and to stabilise its movement. This paper considers the implementation of an adaptive neuro fuzzy inference system (ANFIS) with a fuzzy hybrid control technique to control a quarter vehicle suspension system with a semiactive magneto rheological (MR) damper. A quarter car suspension model is set up with an MR damper and a semiactive controller consisting of a fuzzy hybrid skyhook-groundhook controller and an ANFIS model is also designed. The fuzzy hybrid controller is used …
An Adaptive Bilateral Negotiation Model Based On Bayesian Learning, Chao Yu, Fenghui Ren, Minjie Zhang
An Adaptive Bilateral Negotiation Model Based On Bayesian Learning, Chao Yu, Fenghui Ren, Minjie Zhang
Dr Fenghui Ren
Endowing the negotiation agent with a learning ability such that a more beneficial agreement might be obtained is increasingly gaining attention in agent negotiation research community. In this paper, we propose a novel bilateral negotiation model based on Bayesian learning to enable self-interested agents to adapt negotiation strategies dynamically during the negotiation process. Specifically, we assume that two agents negotiate over a single issue based on time-dependent tactic. The learning agent has a belief about the probability distribution of its opponent's negotiation parameters (i.e., the deadline and reservation offer). By observing opponent's historical offers and comparing them with the fitted …
Adaptive Sliding Mode Control Of Tri-Layer Conjugated Polymer Actuators, Xiangjiang Wang, Gursel Alici, Chuc Nguyen
Adaptive Sliding Mode Control Of Tri-Layer Conjugated Polymer Actuators, Xiangjiang Wang, Gursel Alici, Chuc Nguyen
Chuc Huu Nguyen
This paper proposes an adaptive sliding mode control methodology to enhance the positioning ability of conducting polymer actuators typified by tri-layer conjugated polymer actuators. This is motivated by the search for an effective control strategy to command such actuators to a desired configuration in the presence of parametric uncertainties and unmodeled disturbances. After analyzing the stability of the adaptive sliding mode control system, experiments were conducted to demonstrate its satisfactory tracking ability, based on a series of experimental results. Implementation of the control law requires a valid model of the conducting polymer actuator and boundaries of the uncertainties and disturbances. …
A Model Of The Effects Of Authority On Consensus Formation In Adaptive Networks: Impact On Network Topology And Robustness, Brenton J. Prettejohn, Matthew J. Berryman, Mark D. Mcdonnell
A Model Of The Effects Of Authority On Consensus Formation In Adaptive Networks: Impact On Network Topology And Robustness, Brenton J. Prettejohn, Matthew J. Berryman, Mark D. Mcdonnell
Faculty of Engineering and Information Sciences - Papers: Part A
Opinions of individuals in real social networks are arguably strongly influenced by external determinants, such as the opinions of those perceived to have the highest levels of authority. In order to model this, we have extended an existing model of consensus formation in an adaptive network by the introduction of a parameter representing each agent's level of 'authority' based on their opinion relative to the overall opinion distribution. We found that introducing this model, along with a randomly varying opinion convergence factor, significantly impacts the final state of converged opinions and the number of interactions required to reach that state. …
An Adaptive Bilateral Negotiation Model Based On Bayesian Learning, Chao Yu, Fenghui Ren, Minjie Zhang
An Adaptive Bilateral Negotiation Model Based On Bayesian Learning, Chao Yu, Fenghui Ren, Minjie Zhang
Faculty of Engineering and Information Sciences - Papers: Part A
Endowing the negotiation agent with a learning ability such that a more beneficial agreement might be obtained is increasingly gaining attention in agent negotiation research community. In this paper, we propose a novel bilateral negotiation model based on Bayesian learning to enable self-interested agents to adapt negotiation strategies dynamically during the negotiation process. Specifically, we assume that two agents negotiate over a single issue based on time-dependent tactic. The learning agent has a belief about the probability distribution of its opponent's negotiation parameters (i.e., the deadline and reservation offer). By observing opponent's historical offers and comparing them with the fitted …
Adaptive Precision Floating Point Lll, Thomas Plantard, Willy Susilo, Zhenfei Zhang
Adaptive Precision Floating Point Lll, Thomas Plantard, Willy Susilo, Zhenfei Zhang
Faculty of Engineering and Information Sciences - Papers: Part A
The LLL algorithm is one of the most studied lattice basis reduction algorithms in the literature. Among all of its variants, the floating point version, also known as L2, is the most popular one, due to its efficiency and its practicality. In its classic setting, the floating point precision is a fixed value, determined by the dimension of the input basis at the initiation of the algorithm. We observe that a fixed precision overkills the problem, since one does not require a huge precision to handle the process at the beginning of the reduction. In this paper, we propose an …
Adaptive Stochastic Energy Flow Balancing In Smart Grid, Hassan Shirzeh, Fazel Naghdy, Philip Ciufo, Montserrat Ros
Adaptive Stochastic Energy Flow Balancing In Smart Grid, Hassan Shirzeh, Fazel Naghdy, Philip Ciufo, Montserrat Ros
Faculty of Engineering and Information Sciences - Papers: Part A
A smart grid can be considered as an unstructured network of distributed interacting nodes represented by renewable energy sources, storage and loads. The nodes emerge or disappear in a stochastic manner due to the intermittent nature of natural sources such as wind speed and solar irradiation. Prediction and stochastic modelling of electrical energy flow is a critical characteristic in such a network to achieve load balancing and/or peak shaving in order to minimise the fluctuation between off peak and peak demand by power consumers. Before contributing energy to the network, a node acquires information about other nodes in the grid …
Accuracy Of Deformable Image Registration For Contour Propagation In Adaptive Lung Radiotherapy, Nicholas Hardcastle, Wouter Van Elmpt, Dirk De Ruysscher, Karl Bzdusek, Wolfgang A. Tome
Accuracy Of Deformable Image Registration For Contour Propagation In Adaptive Lung Radiotherapy, Nicholas Hardcastle, Wouter Van Elmpt, Dirk De Ruysscher, Karl Bzdusek, Wolfgang A. Tome
Faculty of Engineering and Information Sciences - Papers: Part A
Background: Deformable image registration (DIR) is an attractive method for automatic propagation of regions of interest (ROIs) in adaptive lung radiotherapy. This study investigates DIR for automatic contour propagation in adaptive Non Small Cell Lung Carcinoma patients.
A Simple Adaptive Stfc Mb-Ofdm Uwb System For Wban Applications, Miftadi Sudjai, Le Chung Tran, Farzad Safaei
A Simple Adaptive Stfc Mb-Ofdm Uwb System For Wban Applications, Miftadi Sudjai, Le Chung Tran, Farzad Safaei
Faculty of Engineering and Information Sciences - Papers: Part A
This paper proposes a simple, but efficient, adaptive space-time-frequency coded (STFC) multiband orthogonal frequency division multiplexing ultra-wideband (MB-OFDM UWB) system to improve the average BER performance for body-to-external link wireless body area network (WBAN) applications. The novelty of this paper is the proposed body direction based adaptive algorithm that controls the set of modulation scheme, space-time-frequency code (STFC) coding rate, and power of signal constellations implemented in STFC MB-OFDM UWB WBAN. Simulation results show that the proposed system can provide a consistent 1-2 dB improvement in the case of 2I1O configuration, and 1-3 dB improvement in a medium-to-high SNR region …
Architecture, Adaptive Capacities, And The Futures Of Hypercomplexity, Adam Bobette, Meredith Miller, Etienne Turpin
Architecture, Adaptive Capacities, And The Futures Of Hypercomplexity, Adam Bobette, Meredith Miller, Etienne Turpin
Faculty of Engineering and Information Sciences - Papers: Part A
I think it is somewhat arbitrary to try to dissociate the effective practice of freedom by people, the practice of social relations, and the spatial distributions in which they find themselves. If they are separated, they become impossible to understand. Each can only be understood through the other. - Michel Foucault, "Space, Knowledge, Power"
Combined Adaptive Lattice Reduction-Aided Detection And Antenna Shuffling For Dsttd-Ofdm Systems, Ngoc Phuc Le, Le Chung Tran, Farzad Safaei
Combined Adaptive Lattice Reduction-Aided Detection And Antenna Shuffling For Dsttd-Ofdm Systems, Ngoc Phuc Le, Le Chung Tran, Farzad Safaei
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, we consider lattice reduction (LR) aided linear detection in a DSTTD-OFDM (double space-time transmit diversity- orthogonal frequency division multiplexing) system with antenna shuffling. We first derive an antenna shuffling criterion for the LR-aided DSTTD-OFDM system. Next, we propose a combined reduced-feedback and adaptive LR algorithm by exploiting the correlation between OFDM subcarriers in the frequency domain. The LR-aided DSTTD OFDM system with this algorithm requires low computational effort for the LR operation and small feedback information. Simulation results show that a significant improvement could be achieved in the proposed system compared to previous (non-LR-aided) systems under spatially …
Development Of Adaptive Seismic Isolators For Ultimate Seismic Protection Of Civil Structures, Jianchun Li, Yan-Cheng Li, Weihua Li, Bijan Samali
Development Of Adaptive Seismic Isolators For Ultimate Seismic Protection Of Civil Structures, Jianchun Li, Yan-Cheng Li, Weihua Li, Bijan Samali
Faculty of Engineering and Information Sciences - Papers: Part A
Base isolation is the most popular seismic protection technique for civil engineering structures. However, research has revealed that the traditional base isolation system due to its passive nature is vulnerable to two kinds of earthquakes, i.e. the near-fault and far-fault earthquakes. A great deal of effort has been dedicated to improve the performance of the traditional base isolation system for these two types of earthquakes. This paper presents a recent research breakthrough on the development of a novel adaptive seismic isolation system as the quest for ultimate protection for civil structures, utilizing the field-dependent property of the magnetorheological elastomer (MRE). …
Design And Experimental Testing Of An Adaptive Magneto-Rheological Elastomer Base Isolator, Yancheng Li, Jianchun Li, Weihua Li
Design And Experimental Testing Of An Adaptive Magneto-Rheological Elastomer Base Isolator, Yancheng Li, Jianchun Li, Weihua Li
Faculty of Engineering and Information Sciences - Papers: Part A
Magnetorheological elastomer (MRE) is known for its field-sensitive shear modulus and damping property when it is exposed to a magnetic field. It has a great potential for the development of vibration reduction devices. Many research, mostly in mechanical engineering, have been focused on different kinds of vibration absorbers and vibration isolators, however few research addresses its potential in base isolation system in civil engineering application. The objective of this paper is to pilot the design and experimental testing of a novel device, an adaptive MRE base isolator, for the development of smart base isolation system. A large-scale design of the …
Information Systems Development Projects As Complex Adaptive Systems, Karlheinz Kautz
Information Systems Development Projects As Complex Adaptive Systems, Karlheinz Kautz
Faculty of Engineering and Information Sciences - Papers: Part A
This research considers information systems development (ISD) projects as complex adaptive systems. We investigate the question whether complex adaptive systems (CAS) theory is relevant as a theoretical foundation for understanding ISD, and if so, which kind of understanding can be achieved by utilizing the theory? We introduce key concepts of CAS theory such as interaction, emergence, interconnected autonomous agents, selforganization, co-evolution, poise at the edge of chaos, time pacing, and poise at the edge of time to analyse and understand ISD in practice. We demonstrate the strength of such a CAS approach through an empirical case study presentation and analysis. …