Institutions
|
About Us
|
Help
|
Gaeilge
0
1000
Home
Browse
Advanced Search
Search History
Marked List
Statistics
A
A
A
Author(s)
Institution
Publication types
Funder
Year
Limited By:
Author = Murphy, John;
72 items found
Sort by
Title
Author
Item type
Date
Institution
Peer review status
Language
Order
Ascending
Descending
25
50
100
per page
1
2
3
Bibtex
CSV
EndNote
RefWorks
RIS
XML
Displaying Results 1 - 25 of 72 on page 1 of 3
Marked
Mark
A comparative study of vehicles’ routing algorithms for route planning in smart cities
(2012)
Ngoc-Nha, Vi Tran; Djahel, Soufiene; Murphy, John
A comparative study of vehicles’ routing algorithms for route planning in smart cities
(2012)
Ngoc-Nha, Vi Tran; Djahel, Soufiene; Murphy, John
Abstract:
Vehicle routing problem (VRP) is a generic name referring to optimization problems in transportation, distribution and logistics industry. They mainly focus on serving a number of customers by a number of vehicles. Route planning techniques is one of the main tasks of VRP which aims to find an optimal route from a starting point to a destination on a road map. As road traffic conditions may change during the car journey (e.g., increase/decrease of the congestion level, road incidents etc), the optimal route should be re-evaluated as soon as an update in traffic conditions is available. Choosing an appropriate route planning algorithm among the existing algorithms in the literature to apply it in real road networks is an important task for any transportation application. In this paper, we first present a classification of the different route planning algorithms, and then explain how we compare and analyze their performance when they are applied in real road networks. For the purpose ...
http://hdl.handle.net/10344/2697
Marked
Mark
A fair comparison of VM placement heuristics and a more effective solution
(2014)
Li, Xi; Ventresque, Anthony; Murphy, John; Thorburn, James
A fair comparison of VM placement heuristics and a more effective solution
(2014)
Li, Xi; Ventresque, Anthony; Murphy, John; Thorburn, James
Abstract:
Data center optimization, mainly through virtual machine (VM) placement, has received considerable attention in the past years. A lot of heuristics have been proposed to give quick and reasonably good solutions to this problem. However it is difficult to compare them as they use different datasets, while the distribution of resources in the datasets has a big impact on the results. In this paper we propose the first benchmark for VM placement heuristics and we define a novel heuristic. Our benchmark is inspired from a real data center and explores different possible demographics of data centers, which makes it suitable when comparing the behaviour of heuristics. Our new algorithm, RBP, outperforms the state-of-the-art heuristics and provides close to optimal results quickly.
http://hdl.handle.net/10344/4359
Marked
Mark
A Fair Comparison of VM Placement Heuristics and a More Effective Solution
(2015)
Li, Xi; Ventresque, Anthony; Murphy, John; Thorburn, James
A Fair Comparison of VM Placement Heuristics and a More Effective Solution
(2015)
Li, Xi; Ventresque, Anthony; Murphy, John; Thorburn, James
Abstract:
13th IEEE International Symposium on Parallel and Distributed Computing (ISPDC), Aix-Marseille University - Porquerolles Golden Island, France, 24- 27 June, 2014
Data center optimization, mainly through virtual machine (VM) placement, has received considerable attention in the past years. A lot of heuristics have been proposed to give quick and reasonably good solutions to this problem. However it is difficult to compare them as they use different datasets, while the distribution of resources in the datasets has a big impact on the results. In this paper we propose the first benchmark for VM placement heuristics and we define a novel heuristic. Our benchmark is inspired from a real data center and explores different possible demographics of data centers, which makes it suitable when comparing the behaviour of heuristics. Our new algorithm, RBP, outperforms the state-of-the-art heuristics and provides close to optimal results quickly.
Science Foundation Ireland
Lero
E...
http://hdl.handle.net/10197/7143
Marked
Mark
A unified approach to automate the usage of plagiarism detection tools in programming courses
(2017)
Portillo Dominguez, Andres Omar; Ayala-Rivera, Vanessa; Murphy, Evin; Murphy, John
A unified approach to automate the usage of plagiarism detection tools in programming courses
(2017)
Portillo Dominguez, Andres Omar; Ayala-Rivera, Vanessa; Murphy, Evin; Murphy, John
Abstract:
12th International Conference on Computer Science and Education (ICCSE), Houston, TX, USA
Plagiarism in programming assignments is an extremely common problem in universities. While there are many tools that automate the detection of plagiarism in source code, users still need to inspect the results and decide whether there is plagiarism or not. Moreover, users often rely on a single tool (using it as "gold standard" for all cases), which can be ineffective and risky. Hence, it is desirable to make use of several tools to complement their results. However, various limitations exist in these tools that make their usage a very time-consuming task, such as the need of manually analyzing and correlating their multiple outputs. In this paper, we propose an automated system that addresses the common usage limitations of plagiarism detection tools. The system automatically manages the execution of different plagiarism tools and generates a consolidated comparative visualizati...
http://hdl.handle.net/10197/9028
Marked
Mark
A WOA-based optimization approach for task scheduling in cloud Computing systems
(2020)
Chen, Xuan; Cheng, Long; Liu, Cong; Liu, Qingzhi; Liu, Jinwei; Mao, Ying; Murphy, John
A WOA-based optimization approach for task scheduling in cloud Computing systems
(2020)
Chen, Xuan; Cheng, Long; Liu, Cong; Liu, Qingzhi; Liu, Jinwei; Mao, Ying; Murphy, John
Abstract:
Task scheduling in cloud computing can directly affect the resource usage and operational cost of a system. To improve the efficiency of task executions in a cloud, various metaheuristic algorithms, as well as their variations, have been proposed to optimize the scheduling. In this work, for the first time, we apply the latest metaheuristics WOA (the whale optimization algorithm) for cloud task scheduling with a multiobjective optimization model, aiming at improving the performance of a cloud system with given computing resources. On that basis, we propose an advanced approach called IWC (Improved WOA for Cloud task scheduling) to further improve the optimal solution search capability of the WOA-based method. We present the detailed implementation of IWC and our simulation-based experiments show that the proposed IWC has better convergence speed and accuracy in searching for the optimal task scheduling plans, compared to the current metaheuristic algorithms. Moreover, it can also ac...
http://doras.dcu.ie/24294/
Marked
Mark
ABI: A mechanism for increasing video delivery quality in multi-radio Wireless Mesh Networks with Energy Saving
(2016)
Hava, Adriana; Muntean, Gabriel-Miro; Murphy, John
ABI: A mechanism for increasing video delivery quality in multi-radio Wireless Mesh Networks with Energy Saving
(2016)
Hava, Adriana; Muntean, Gabriel-Miro; Murphy, John
Abstract:
2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Bejing, China, 25-27 June 2014
Wireless Mesh Networks (WMNs) are becoming increasingly popular mostly due to their ease of deployment. One of the main drawbacks of these networks is that they suffer with respect to Quality of Service (QoS) provisioning to its clients. Equipping wireless mesh nodes with multiple radios for increasing the available bandwidth has become a common practice nowadays due to the low cost of the wireless chipsets. Even though the available bandwidth increases with each radio deployed on the mesh node, the energy consumed for transmission increases accordingly. Thus, efficient usage of the radio interfaces is a key aspect for keeping the energy consumption at low levels while keeping a high QoS level for the mesh network’s clients. In the light of the above presented aspects concerning WMNs, the contribution of this paper is two-fold: (i) ABI, a mechanism for effici...
http://hdl.handle.net/10197/7613
Marked
Mark
Adaptive GC-aware load balancing strategy for high-assurance Java distributed systems
(2018)
Portillo Dominguez, Andres Omar; Wang, Miao; Murphy, John; Magoni, Damien
Adaptive GC-aware load balancing strategy for high-assurance Java distributed systems
(2018)
Portillo Dominguez, Andres Omar; Wang, Miao; Murphy, John; Magoni, Damien
Abstract:
2015 IEEE 16th International Symposium on High Assurance Systems Engineering (HASE), Florida, United States of America, 8-10 January 2015
High-Assurance applications usually require achieving fast response time and high throughput on a constant basis. To fulfil these stringent quality of service requirements, these applications are commonly deployed in clustered instances. However, how to effectively manage these clusters has become a new challenge. A common approach is to deploy a front-end load balancer to optimise the workload distribution among the clustered applications. Thus, researchers have been studying how to improve the effectiveness of a load balancer. Our previous work presented a novel load balancing strategy which improves the performance of a distributed Java system by avoiding the performance impacts of Major Garbage Collection, which is a common cause of performance degradation in Java applications. However, as that strategy used a static configuration, it coul...
http://hdl.handle.net/10197/9231
Marked
Mark
An Energy-efficient Mechanism for Increasing Video Quality of Service in Wireless Mesh Networks
(2016)
Hava, Adriana; Muntean, Gabriel-Miro; Murphy, John
An Energy-efficient Mechanism for Increasing Video Quality of Service in Wireless Mesh Networks
(2016)
Hava, Adriana; Muntean, Gabriel-Miro; Murphy, John
Abstract:
IEEE Wireless Communications and Networking Conference (WCNC), Doha, Qatar, 3-6 April 2016
The continuous growth in user demand for high-quality rich media services puts pressure on Wireless Mesh Network (WMN) resources. Solutions such as those which increase the capacity of the mesh network by equipping mesh routers with additional wireless interfaces provide better Quality of Service (QoS) for video deliveries, but result in higher overall energy consumption for the network. This paper presents LBIS, a distributed solution which combines the benefits of both load-balancing and interface-shifting in order to enhance QoS levels for video services delivered over multi-hop WMNs, while maintaining low energy consumption levels within the network. Simulation-based results show very good performance of our proposed mechanism in terms of QoS metrics (delay, packet loss), Peak Signal-to Noise Ratio (PSNR) and energy consumption in mesh network topologies, and with varying video traffic...
http://hdl.handle.net/10197/7612
Marked
Mark
An energy-efficient mechanism for increasing video quality of service in wireless mesh networks
(2016)
Hava, Adriana; Muntean, Gabriel-Miro; Murphy, John
An energy-efficient mechanism for increasing video quality of service in wireless mesh networks
(2016)
Hava, Adriana; Muntean, Gabriel-Miro; Murphy, John
Abstract:
The continuous growth in user demand for highquality rich media services puts pressure on Wireless Mesh Network (WMN) resources. Solutions such as those which increase the capacity of the mesh network by equipping mesh routers with additional wireless interfaces provide better Quality of Service (QoS) for video deliveries, but result in higher overall energy consumption for the network. This paper presents LBIS, a distributed solution which combines the benefits of both load-balancing and interface-shifting in order to enhance QoS levels for video services delivered over multi-hop WMNs, while maintaining low energy consumption levels within the network. Simulation-based results show very good performance of our proposed mechanism in terms of QoS metrics (delay, packet loss), Peak Signal-to-Noise Ratio (PSNR) and energy consumption in mesh network topologies, and with varying video traffic loads and distributions. The results demonstrate how LBIS can increase the QoS for video delive...
http://hdl.handle.net/10344/5400
Marked
Mark
An integrated assessment of nitrogen source, transformation and fate within an intensive dairy system to inform management change
(2020)
Clagnan, Elisa; Thornton, Steven F.; Rolfe, Stephen A.; Wells, Naomi S.; Knoeller, Kay;...
An integrated assessment of nitrogen source, transformation and fate within an intensive dairy system to inform management change
(2020)
Clagnan, Elisa; Thornton, Steven F.; Rolfe, Stephen A.; Wells, Naomi S.; Knoeller, Kay; Murphy, John; Tuohy, Patrick; Daly, Karen M.; Healy, Mark G.; Ezzati, Golnaz; von Chamier, Julia; Fenton, Owen
Abstract:
From an environmental perspective optimised dairy systems, which follow current regulations, still have low nitrogen (N) use efficiency, high N surplus (kg N ha-1) and enable ad-hoc delivery of direct and indirect reactive N losses to water and the atmosphere. The objective of the present study was to divide an intensive dairy farm into N attenuation capacity areas based on this ad-hoc delivery. Historical and current spatial and temporal multi-level datasets (stable isotope and dissolved gas) were combined and interpreted. Results showed that the farm had four distinct attenuation areas: high N attenuation: characterised by ammonium-N (NH4+-N) below 0.23 mg NH4+-N l-1 and nitrate (NO3--N) below 5.65 mg NO3--N l-1 in surface, drainage and groundwater, located on imperfectly to moderately-well drained soils with high denitrification potential and low nitrous oxide (N2O) emissions (av. 0.0032 mg N2O-N l-1); moderate N attenuation: characterised by low NO3--N concentration in drainage ...
http://hdl.handle.net/11019/1959
Marked
Mark
An integrated assessment of nitrogen source, transformation and fate within an intensive dairy system to inform management change
(2020)
Clagnan, Elisa; Thornton, Steven F; Rolfe, Stephen A.; Wells, Naomi; Knoeller, Kay; Mur...
An integrated assessment of nitrogen source, transformation and fate within an intensive dairy system to inform management change
(2020)
Clagnan, Elisa; Thornton, Steven F; Rolfe, Stephen A.; Wells, Naomi; Knoeller, Kay; Murphy, John; Tuohy, Patrick; Daly, Karen M.; Healy, Mark G.; Ezzati, Golnaz; von Chamier, Julia; Fenton, Owen
Abstract:
From an environmental perspective optimised dairy systems, which follow current regulations, still have low nitrogen (N) use efficiency, high N surplus (kg N ha-1) and enable ad-hoc delivery of direct and indirect reactive N losses to water and the atmosphere. The objective of the present study was to divide an intensive dairy farm into N attenuation capacity areas based on this ad-hoc delivery. Historical and current spatial and temporal multi-level datasets (stable isotope and dissolved gas) were combined and interpreted. Results showed that the farm had four distinct attenuation areas: high N attenuation: characterised by ammonium-N (NH4+-N) below 0.23 mg NH4+-N l-1 and nitrate (NO3--N) below 5.65 mg NO3--N l-1 in surface, drainage and groundwater, located on imperfectly to moderately-well drained soils with high denitrification potential and low nitrous oxide (N2O) emissions (av. 0.0032 mg N2O-N l-1); moderate N attenuation: characterised by low NO3--N concentration in drainage ...
http://hdl.handle.net/11019/2050
Marked
Mark
An integrated assessment of nitrogen source, transformation and fate within an intensive dairy system to inform management change.
(2019)
Clagnan, Elisa; Thornton, Steven F.; Rolfe, Stephen A.; Wells, Naomi S.; Knoeller, Kay;...
An integrated assessment of nitrogen source, transformation and fate within an intensive dairy system to inform management change.
(2019)
Clagnan, Elisa; Thornton, Steven F.; Rolfe, Stephen A.; Wells, Naomi S.; Knoeller, Kay; Murphy, John; Tuohy, Patrick; Daly, Karen; Healy, Mark G.; Ezzati, Golnaz; von Chamier, Julia; Fenton, Owen
Abstract:
From an environmental perspective optimised dairy systems, which follow current regulations, still have low nitrogen (N) use efficiency, high N surplus (kg N ha-1) and enable ad-hoc delivery of direct and indirect reactive N losses to water and the atmosphere. The objective of the present study was to divide an intensive dairy farm into N attenuation capacity areas based on this ad-hoc delivery. Historical and current spatial and temporal multi-level data- sets (stable isotope and dissolved gas) were combined and interpreted. Results showed that the farm had four distinct attenuation areas: high N attenuation: characterised by ammonium-N (NH4+-N) below 0.23 mg NH4+-N l-1 and nitrate (NO3--N) below 5.65 mg NO3-- N l-1 in surface, drainage and groundwater, located on imperfectly to moderately-well drained soils with high denitrification potential and low nitrous oxide (N2O) emissions (av. 0.0032 mg N2O-N l-1); moderate N attenuation: characterised by low NO3--N concentration in draina...
http://hdl.handle.net/10379/15329
Marked
Mark
An investigation into the effects of different starts to the grazing season on sward structure and sward dynamics and dairy cow performance during the grazing season.
(2017)
O'Donovan, Michael; Kennedy, Emer; Delaby, Luc; Murphy, John
An investigation into the effects of different starts to the grazing season on sward structure and sward dynamics and dairy cow performance during the grazing season.
(2017)
O'Donovan, Michael; Kennedy, Emer; Delaby, Luc; Murphy, John
Abstract:
End of Project Report
Summary and Implications •Cows outdoors from mid February to early April offered an 80:20 grazed grass concentrate diet produced similar milk yield with higher protein yield and content compared to cows offered a 40:60 grass silage concentrate diet. •The improvement in animal performance is attributed to a higher energy, protein and total DM intake. •In the carryover period when both groups were grazing fulltime, the cows with early turnout had higher milk protein concentrations and higher grass DM intakes (1kg DM/cow/day) •An early grazed sward had a similar grass growth potential as a late grazed sward. •Herbage from early grazed swards have higher grass digestibility (OMD and UFL) value than late grazed swards •A lower daily herbage allowance can be tolerated with early grazed swards to achieve similar milk production performance as from late grazed swards. Up to 5-6 kg grass DM of late grazed swards will achieve the same level of milk production from e...
http://hdl.handle.net/11019/1173
Marked
Mark
Applying a market mechanism to optimizing the utilization of computing resources
(2012)
Thorburn, James; Li, Xi; Holub, Viliam; O'Sullivan, Patrick; Murphy, Liam; Murphy,...
Applying a market mechanism to optimizing the utilization of computing resources
(2012)
Thorburn, James; Li, Xi; Holub, Viliam; O'Sullivan, Patrick; Murphy, Liam; Murphy, John
Abstract:
Large enterprises possess massive quantities of computing systems. The costs of running and managing these systems, and capital investments for new hardware, are significant. Optimizing the utilization of those computing systems can produce significant savings for the enterprise. However, the optimization in a multinational, multi-divisional, multi-geographic enterprise is complicated by the large scale of business usage purposes and the heterogeneity of the systems. This paper proposes a solution by introducing a market-like environment for directing workload migration from less efficient systems to more efficient systems. Migration sources and targets are treated as sellers and buyers in a transaction in this environment, and a Computing Environment Entitlement Contract (CEEC) is used as the unit of trade. A Market Maker is also introduced to ensure that matched buyers and sellers complete the transaction.
http://hdl.handle.net/10344/3743
Marked
Mark
Arbres de diffusion pour sessions MVoIP avec flux hétérogènes
(2016)
Al Hasrouty, Christelle; Autefage, Vincent; Olariu, Cristian; Magoni, Damien; Murphy, John
Arbres de diffusion pour sessions MVoIP avec flux hétérogènes
(2016)
Al Hasrouty, Christelle; Autefage, Vincent; Olariu, Cristian; Magoni, Damien; Murphy, John
Abstract:
Réaliser des audio-conférences de qualité sur Internet est une tâche complexe. En effet, l'hétérogénéité des terminaux mobiles et la dynamique du réseau doivent être prises en compte par les systèmes MVoIP (Multiparty VoIP) afin d'assurer une qualité d'expérience suffisante aux utilisateurs. Dans cette contribution, nous présentons un nouveau système MVoIP tirant partie de la technologie SDN. Notre système effectue une distribution multipoint ainsi qu'une adaptation des débits des différents flux audio afin d'optimiser la qualité d'appel pour chaque participant. Notre proposition repose sur des arbres couvrant les participants dont la construction peut être réalisée selon deux stratégies distinctes : chemins minimisés ou plus courts chemins. Les simulations que nous avons menées montrent qu'un compromis existe entre la latence générée et la bande passante consommée par ces deux approches. Ainsi, lorsque le nombre de participants augmente, notre sys...
http://hdl.handle.net/10344/5437
Marked
Mark
Automated WAIT for cloud-based application testing
(2014)
Portillo-Domínguez, Andrés Omar; Wang, Miao; Murphy, John; Magoni, Damien
Automated WAIT for cloud-based application testing
(2014)
Portillo-Domínguez, Andrés Omar; Wang, Miao; Murphy, John; Magoni, Damien
Abstract:
Cloud computing is causing a paradigm shift in the provision and use of software. This has changed the way of obtaining, managing and delivering computing services and solutions. Similarly, it has brought new challenges to software testing. A particular area of concern is the performance of cloud- based applications. This is because the increased complex- ity of the applications has exposed new areas of potential failure points, complicating all performance-related activi- ties. This situation makes the performance testing of cloud applications very challenging. Similarly, the identi cation of performance issues and the diagnosis of their root causes are time-consuming and complex, usually require multiple tools and heavily rely on expertise. To simplify these tasks, hence increasing the productivity and reducing the depen- dency on human experts, this paper presents a lightweight approach to automate the usage of expert tools in the per- formance testing of cloud-based applications...
http://hdl.handle.net/10344/3978
Marked
Mark
Automatic, load-independent detection of performance regressions by transaction profiles
(2013)
Ghaith, Shadi; Wang, Miao; Perry, Philip; Murphy, John
Automatic, load-independent detection of performance regressions by transaction profiles
(2013)
Ghaith, Shadi; Wang, Miao; Perry, Philip; Murphy, John
Abstract:
Performance regression testing is an important step in the production process of enterprise applications. Yet, analysing this type of testing data is mainly conducted manually and depends on the load applied during the test. To ease such a manual task we present an automated, load-independent technique to detect performance regression anomalies based on the analysis of performance testing data using a con- cept known as Transaction Pro le. The approach can be automated and it utilises data already available to the per- formance testing along with the queueing network model of the testing system. The presented \Transaction Pro le Run Report"was able to automatically catch performance regression anomalies ca- used by software changes and isolate them from those caused by load variations with a precision of 80% in a case study conducted against an open source application. Hence, by deploying our system, the testing teams are able to detect performance regression anomalies by avoid...
http://hdl.handle.net/10344/3483
Marked
Mark
Bandwidth Allocation By Pricing In ATM Networks
(2016)
Murphy, Liam, B.E.; Murphy, John
Bandwidth Allocation By Pricing In ATM Networks
(2016)
Murphy, Liam, B.E.; Murphy, John
Abstract:
Admission control and bandwidth allocation are important issues in telecommunications networks, especially when there are random fluctuating demands for service and variations in the service rates. In the emerging broadband communications environment these services are likely to be offered via an ATM network. In order to make ATM future safe, methods for controlling the network should not be based on the characteristics of present services. We propose one bandwidth allocation method which has this property . Our proposed approach is based on pricing bandwidth to reflect network utilization, with users competing for resources according to their individual bandwidth valuations. The prices may be components of an actual tariff or they may be used as control signals, as in a private network. Simulation results show the improvement possible with our scheme versus a leaky bucket method in terms of cell loss probability, and confirm that a small queue with pricing can be efficient to multi...
http://hdl.handle.net/10197/7625
Marked
Mark
BER performance in wavelength packet-switched WDM systems during nano-second wavelength switching events
(2004)
Dantcha, Antonia; Barry, Liam P.; Murphy, John; Dunne, J.; Mullane, T.; McDonald, David
BER performance in wavelength packet-switched WDM systems during nano-second wavelength switching events
(2004)
Dantcha, Antonia; Barry, Liam P.; Murphy, John; Dunne, J.; Mullane, T.; McDonald, David
Abstract:
An important characteristic of wavelength tuneable laser transmitters is that as they tune between output wavelength channels they may generate light at a range of other wavelengths. This effect may ultimately influence the design of WDM wavelength packet-switched networks employing wavelength tuneable transmitters. We have investigated this effect by examining the BER transmission performance of a WDM channel as a function of the degree of attenuation of another WDM wavelength signal during fast wavelength switching events. Our results show the importance of attenuating the output signal from the wavelength switched laser in order to prevent performance degradations on the monitored data channel.
http://doras.dcu.ie/131/
Marked
Mark
BigDataNetSim: A Simulator for Data and Process Placement in Large Big Data Platforms
(2019)
Batista de Almeida, Leandro; Cunha de Almeida, Eduardo; Murphy, John; De Grande, Robson...
BigDataNetSim: A Simulator for Data and Process Placement in Large Big Data Platforms
(2019)
Batista de Almeida, Leandro; Cunha de Almeida, Eduardo; Murphy, John; De Grande, Robson E.; Ventresque, Anthony
Abstract:
The 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications (DS-RT)
Big Data platforms are convoluted distributed systems which commonly comprise skill- and labour-intensive solution development to treat inherent Big Data application challenges. Several tools have been proposed to help developers and engineers to overcome the involved complexities in coordinating the execution of plenty processes/threads on multiple machines. However, no work so far has been able to combine both an accurate representation of Big Data jobs and realistic modeling of the behaviour of Big Data platforms at scale, including networking elements and data and job placement. In this paper, we propose BigDataNetSim, the first simulator which models accurately all the main components of the data movements in Big Data platforms (e.g., HDFS, YARN/MapReduce, network topologies, switching/routing protocols) in a large scale system. BigDataNetSim can serve as a valuable t...
http://hdl.handle.net/10197/10594
Marked
Mark
Cheesemaking, compositional and functional characteristics of low-moisture part-skim mozzarella cheese from bovine milks containing j-casein AA, AB or BB genetic variants
(1998)
Walsh, Catherine D; Guinee, Timothy P.; Harrington, Dermot; Mehra, Raj; Murphy, John; F...
Cheesemaking, compositional and functional characteristics of low-moisture part-skim mozzarella cheese from bovine milks containing j-casein AA, AB or BB genetic variants
(1998)
Walsh, Catherine D; Guinee, Timothy P.; Harrington, Dermot; Mehra, Raj; Murphy, John; Fitzgerald, Richard J.
Abstract:
Summary. Low-moisture part-skim Mozzarella cheeses were made, at pilot scale (450 kg), on five occasions at weekly intervals from milks containing j-casein AA, AB or BB genetic variants. Compared with j-casein A variant milks, the j-casein B variant milks were associated with higher concentrations of casein (P<0.001), whey protein (P<0.02) and total protein (P<0.001), superior curd-forming properties (P<0.05) and increased cheese yields (P<0.05). The moisture-adjusted (to 465 g/kg) cheese yields for the j-casein AA, AB and BB cheeses were 91.5, 100.6, and 102.5 kg/1000 kg milk respectively. j-Casein variant had no significant effect on the proteolysis and ripening of uncooked cheese or on the functionality (melt time, fowability and stretchability) of the cooked cheese during the course of a 90 d ripening period
http://hdl.handle.net/10344/3029
Marked
Mark
Choosing machine learning algorithms for anomaly dection in smart builidng Iot scenarios
(2019)
Portillo-Domínguez, Andrés Omar; Murphy, John; Murphy, Liam; Portillo-Dominguez, Omar A.
Choosing machine learning algorithms for anomaly dection in smart builidng Iot scenarios
(2019)
Portillo-Domínguez, Andrés Omar; Murphy, John; Murphy, Liam; Portillo-Dominguez, Omar A.
Abstract:
Internet of Things (IoT) systems produce large amounts of raw data in the form of log files. This raw data must then be processed to extract useful information. Machine Learning (ML) has proved to be an efficient technique for such tasks, but there are many different ML algorithms available, each suited to different types of scenarios. In this work, we compare the performance of 22 state-of-the-art supervised ML classification algorithms on different IoT datasets, when applied to the problem of anomaly detection. Our results show that there is no dominant solution, and that for each scenario, several candidate techniques perform similarly. Based on our results and a characterization of our datasets, we propose a recommendation framework which guides practitioners towards the subset of the 22 ML algorithms which is likely to perform best on their data.
http://hdl.handle.net/10344/8408
Marked
Mark
Choosing Machine Learning Algorithms for Anomaly Detection in Smart Building IoT Scenarios
(2019)
Almaguer-Angeles, Fernando; Murphy, John; Murphy, Liam, B.E.; Portillo Dominguez, Andre...
Choosing Machine Learning Algorithms for Anomaly Detection in Smart Building IoT Scenarios
(2019)
Almaguer-Angeles, Fernando; Murphy, John; Murphy, Liam, B.E.; Portillo Dominguez, Andres Omar
Abstract:
2019 IEEE 5th World Forum on Internet of Things (WF-IoT'19)2019 IEEE 5th World Forum on Internet of Things (WF-IoT), Limerick, Ireland, 15-18 April 2019
Internet of Things (IoT) systems produce large amounts of raw data in the form of log files. This raw data must then be processed to extract useful information. Machine Learning (ML) has proved to be an efficient technique for such tasks, but there are many different ML algorithms available, each suited to different types of scenarios. In this work, we compare the performance of 22 state-of-the-art supervised ML classification algorithms on different IoT datasets, when applied to the problem of anomaly detection. Our results show that there is no dominant solution, and that for each scenario, several candidate techniques perform similarly. Based on our results and a characterization of our datasets, we propose a recommendation framework which guides practitioners towards the subset of the 22 ML algorithms which is likely to...
http://hdl.handle.net/10197/10952
Marked
Mark
Nutrition: Nutritional Attributes of Animal and Milk Fat (CLA).
(2017)
STANTON, CATHERINE; Lawless, Fergal; Murphy, John; Aherne, Seamus; Devery, Rosaleen; O&...
Nutrition: Nutritional Attributes of Animal and Milk Fat (CLA).
(2017)
STANTON, CATHERINE; Lawless, Fergal; Murphy, John; Aherne, Seamus; Devery, Rosaleen; O'Shea, Marianne
Abstract:
End of Project Report
Teagasc acknowledges with gratitude financial assistance for this project from the Dairy Levy Fund and by the EU (Concerted Action FAIR-CT98-3671 and SM & T4 CT97-2144).
In the recent past, there has been considerable interest in the potential health-promoting properties of conjugated linoleic acid (CLA), a fatty acid produced naturally in ruminant animals. CLA has been shown to be a very effective anti-cancer agent in animal models and cell culture studies, as well as being capable of retarding the initiation and progression of heart disease (atherosclerosis). It has also been shown to have potential as a growth promoter and is capable of improving feed efficiency. Hence from a human health viewpoint, it appears desirable to increase CLA levels in foods to protect against disease and enhance general health and well-being. The primary sources of CLA are animal fats (including dairy fats) derived from ruminant animals while vegetable fats and oils co...
http://hdl.handle.net/11019/1288
Marked
Mark
Coagulation profiles are associated with early clinical outcomes in neonatal encephalopathy
(2019)
Sweetman, Deirdre; Kelly, Lynne A.; Zareen, Zunera; Nolan, Beatrice; Murphy, John; Boyl...
Coagulation profiles are associated with early clinical outcomes in neonatal encephalopathy
(2019)
Sweetman, Deirdre; Kelly, Lynne A.; Zareen, Zunera; Nolan, Beatrice; Murphy, John; Boylan, Geraldine; Donoghue, Veronica; Molloy, Eleanor J.
Abstract:
Introduction: Neonatal encephalopathy (NE) is associated with coagulation abnormalities. We aimed to investigate the serial alterations in coagulation profiles in term infants with NE and correlate with their clinical outcomes. This was a prospective cohort study in a tertiary referral, university-affiliated maternity hospital. Neonates exposed to perinatal asphyxia were recruited (n = 82) and 39 received therapeutic hypothermia. Infants had serial coagulation tests including platelets, prothrombin time (PT), activated partial thromboplastin time (aPTT) and fibrinogen in the first week of life. The main outcome measures included MRI brain and EEG seizures. Our results show that mortality was predicted on day 1 by decreased Fibrinogen (AUC = 0.95, p = 0.009) and by PT on day 2 with a cutoff of 22 s. An abnormal MRI was predicted by Fibrinogen on day 3 with a cut-off value of 2 g/L. For prediction of grade II/III NE, PT on day 2 of life was strongest with a cut-off value of 14 s. Only...
http://hdl.handle.net/10468/9311
Displaying Results 1 - 25 of 72 on page 1 of 3
1
2
3
Bibtex
CSV
EndNote
RefWorks
RIS
XML
Institution
Dublin City University (8)
NUI Galway (1)
Teagasc (6)
University College Cork (2)
University College Dublin (28)
University of Limerick (27)
Item Type
Conference item (22)
Journal article (16)
Other (34)
Peer Review Status
Peer-reviewed (32)
Non-peer-reviewed (1)
Unknown (39)
Year
2020 (5)
2019 (11)
2018 (5)
2017 (6)
2016 (11)
2015 (5)
2014 (5)
2013 (11)
2012 (4)
2011 (1)
2009 (1)
2006 (1)
2005 (1)
2004 (1)
2003 (1)
1999 (1)
1998 (1)
1996 (1)
Language
English (71)
French (1)
built by Enovation Solutions