Socio-ecological value of wetlands: The dilemma of balancing human and ecological water needs
- Authors: Graymore, Michelle , McBride, Dawn
- Date: 2013
- Type: Text , Journal article
- Relation: Australasian Journal of Environmental Management Vol. 20, no. 3 (2013), p. 225-241
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- Description: Humans' need for water has changed flow regimes, degraded ecosystems and depleted water resources. In the Wimmera Mallee in Victoria, the dilemma between human and ecological water requirements began in the colonial era when a channel and dam system was built to transport water. Prolonged drought prompted government to replace this with the Wimmera Mallee Pipeline. This pipeline produced a closed system, reducing water available for the environment, including on-farm wetlands. This study identifies the socio-ecological values of on-farm wetlands and the impact the changed water regime had on these. An interpretative landscape approach was used to integrate geophysical, ecological and social information on nine on-farm wetlands. This identified a range of socio-ecological values on-farm wetlands provide, including aesthetic, amenity, production and biodiversity, that are impacted by the pipeline system. A range of implications for on-farm wetland management were also identified. © 2013 Copyright Environment Institute of Australia and New Zealand Inc.
- Description: C1
Investigation on system reliability optimization based on classification of criteria
- Authors: Khorshidi, Hadi , Gunawan, Indra , Ibrahim, Yousef
- Date: 2013
- Type: Text , Conference proceedings
- Relation: Industrial Technology (ICIT), 2013 IEEE International Conference, Capetown, SA. 25-28 Feb. 2013 p.1706-1711
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- Description: System reliability optimization has been considered as an area to improve the operational availability of electrical and manufacturing systems. This research area addresses system reliability estimation and mathematical model development. This paper presents a -review on system reliability optimization techniques based on different classification of criteria. The main criteria considered in this study are system structure, system state, optimization model, allocation model, modeling and solution methods. The classification can provide an overview of all criteria that should be used to make optimal decisions in a system by taking the reliability into account. Not only it can assist the researchers to develop new optimization models, but also it presents the practitioners how system reliability optimization models can help industries. The paper also discusses the limitations of the present techniques in this area.
On some open problems in optimal control
- Authors: Dontchev, Asen
- Date: 2018
- Type: Text , Book chapter
- Relation: Control Systems and Mathematical Methods in Economics : Essays in Honor of Vladimir M. Veliov (part of the Lecture Notes in Economics and Mathematical Systems book series) p. 3-13
- Relation: http://purl.org/au-research/grants/arc/DP160100854
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- Description: Several open problems are presented concerning regularity properties of solutions of optimal control problems with constraints.
Scenario planning including ecosystem services for a coastal region in South Australia
- Authors: Sandhu, Harpinder , Clarke, Beverley , Baring, Ryan , Anderson, Sharolyn , Fisk, Claire
- Date: 2018
- Type: Text , Journal article
- Relation: Ecosystem Services Vol. 31, no. (2018), p. 194-207
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- Description: Coastal regions provide vital ecosystem services for the human well-being. Rapid economic growth and increasing population in coastal regions is exerting more pressure on coastal environments. Here we develop four plausible scenarios to the year 2050 that address above issues in the northern Adelaide coastline, South Australia. Four scenarios were named after their characteristics, Lacuna, Gold Coast SA, Down to Earth, and Green & Gold. Lacuna and Gold Coast SA. Economy declined significantly in Lacuna, whereas, there is highest annual GDP growth (3.5%) in Gold Coast SA, which was closely followed by Green & Gold scenario (3%), GDP under Down to Earth grows at moderate 1.5%. There is highest population growth in Gold Coast SA followed by Green & Gold, Down to Earth and Lacuna. Gold Coast SA scenario led to high inequality as estimated by the Gini co-efficient of 0.45 compared to the current value of 0.33. Ecosystem services declined rapidly under Green & Gold and Lacuna as compared to the other two scenarios. The combination of scenario planning and ecosystem services valuation provides the capacity to guide coastal planning by illustrating enhanced social, environmental and economic benefits. © 2018 Elsevier B.V. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Harpinder Sandhu” is provided in this record**
Team recognition in big scholarly data: exploring collaboration intensity
- Authors: Yu, Shuo , Xia, Feng , Zhang, Kaiyuan , Ning, Zhaolong , Zhong, Jiaofei , Liu, Chengfei
- Type: Text , Conference proceedings
- Relation: p. 925-932
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- Description: The scale of scholarly data has been expanded due to the fact that scientific productions are increasing rapidly and new scholars affiliate academia incessantly. Scholars are shifting their research patterns from individual research to academic teamwork due to the complexity of scientific issues. In order to achieve higher reputations and better performance, academic teams with leaders are constructed to speed up knowledge sharing and problem solving. It is significant to explore team-based issues with the increasing interests of information exploration in big scholarly data. However, existing academic team definitions are commonly not quantitative, which makes it difficult to identify real academic teams. In this work, we propose a collaboration relationship evaluation index called Collaboration Intensity Index (CII), which is a two-way and quantitative index to evaluate collaboration intensity between two scholars in the network. Then, we construct a new type of co-author network with edges weighted by CII, which differs from the original co-author networks. This network reflects the newly scientific research patterns inside or outside academic teams. Furthermore, we propose TRAC (Team Recognition Algorithm based on CII) to identify academic teams from large co-author networks. Finally, we use DBLP data set, which contains 1,250,440 scholars and 1,575,949 published papers, to identify teams by TRAC. Comparing with fast unfolding algorithm and real team data, the effectiveness of our method can be demonstrated.
Spectral and energy efficiency maximization for content-centric c-rans with edge caching
- Authors: Vu, Tung Thanh , Ngo, Duy Trong , Dao, Minh Ngoc , Durrani, Salman , Middleton, Richard
- Date: 2018
- Type: Text , Journal article
- Relation: IEEE transactions on communications Vol. 66, no. 12 (2018), p. 6628-6642
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- Description: This paper aims to maximize the spectral and energy efficiencies of a content-centric cloud radio access network (C-RAN), where users requesting the same contents are grouped together. Data are transferred from a central baseband unit to multiple remote radio heads (RRHs) equipped with local caches. The RRHs then send the received data to each group's user. Both multicast and unicast schemes are considered for data transmission. We formulate mixed-integer nonlinear problems in which user association, RRH activation, data rate allocation, and signal precoding are jointly designed. These challenging problems are subject to minimum data rate requirements, limited fronthaul capacity, and maximum RRH transmit power. Employing successive convex quadratic programming, we propose iterative algorithms with guaranteed convergence to Fritz John solutions. Numerical results confirm that the proposed joint designs markedly improve the spectral and energy efficiencies of the considered content-centric C-RAN compared to benchmark schemes. Importantly, they show that unicasting outperforms multicasting in terms of spectral efficiency in both cache and cache-less scenarios. In terms of energy efficiency, multicasting is the best choice for the system without cache whereas unicasting is best for the system with cache. Finally, edge caching is shown to improve both spectral and energy efficiencies.
IoTSim‐Edge: A simulation framework for modeling the behavior of Internet of Things and edge computing environments
- Authors: Jha, Devki Nandan , Alwasel, Khaled , Alshoshan, Areeb , Huang, Xianghua , Naha, Ranesh , Battula, Sudheer , Garg, Saurabh , Puthal, Deepak , James, Philip , Zomaya, Albert , Dustdar, Schahram , Ranjan, Rajiv
- Date: 2020
- Type: Text , Journal article
- Relation: Software, practice & experience Vol. 50, no. 6 (2020), p. 844-867
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- Description: Summary With the proliferation of Internet of Things (IoT) and edge computing paradigms, billions of IoT devices are being networked to support data‐driven and real‐time decision making across numerous application domains, including smart homes, smart transport, and smart buildings. These ubiquitously distributed IoT devices send the raw data to their respective edge device (eg, IoT gateways) or the cloud directly. The wide spectrum of possible application use cases make the design and networking of IoT and edge computing layers a very tedious process due to the: (i) complexity and heterogeneity of end‐point networks (eg, Wi‐Fi, 4G, and Bluetooth) (ii) heterogeneity of edge and IoT hardware resources and software stack (iv) mobility of IoT devices and (iii) the complex interplay between the IoT and edge layers. Unlike cloud computing, where researchers and developers seeking to test capacity planning, resource selection, network configuration, computation placement, and security management strategies had access to public cloud infrastructure (eg, Amazon and Azure), establishing an IoT and edge computing testbed that offers a high degree of verisimilitude is not only complex, costly, and resource‐intensive but also time‐intensive. Moreover, testing in real IoT and edge computing environments is not feasible due to the high cost and diverse domain knowledge required in order to reason about their diversity, scalability, and usability. To support performance testing and validation of IoT and edge computing configurations and algorithms at scale, simulation frameworks should be developed. Hence, this article proposes a novel simulator IoTSim‐Edge, which captures the behavior of heterogeneous IoT and edge computing infrastructure and allows users to test their infrastructure and framework in an easy and configurable manner. IoTSim‐Edge extends the capability of CloudSim to incorporate the different features of edge and IoT devices. The effectiveness of IoTSim‐Edge is described using three test cases. Results show the varying capability of IoTSim‐Edge in terms of application composition, battery‐oriented modeling, heterogeneous protocols modeling, and mobility modeling along with the resources provisioning for IoT applications.