Agent-based social simulations are typically described in imperative form. While this facilitates... more Agent-based social simulations are typically described in imperative form. While this facilitates implementation as computer programs, it makes implicit the different assumptions made, both about the functional form and the causal ordering involved. As a solution to the problem, a probabilistic graphical model, Action Network (AN), is proposed in this paper for social simulation. Simulation variables are represented by nodes, and causal links by edges. An Action Table is associated with each node, describing incremental probabilistic actions to be performed in response to fuzzy parental states. AN offers a graphical causal model that captures the dynamics of a social process. Details of the formalism are presented along with illustrative examples. Software that implements the formalism is available at http://actionnetwork.epizy.com.
Agent-based social simulations are typically described in imperative form. While this facilitates... more Agent-based social simulations are typically described in imperative form. While this facilitates implementation as computer programs, it makes implicit the different assumptions made, both about the functional form and the causal ordering involved. As a solution to the problem, a probabilistic graphical model, Action Network (AN), is proposed in this paper for social simulation. Simulation variables are represented by nodes, and causal links by edges. An Action Table is associated with each node, describing incremental probabilistic actions to be performed in response to fuzzy parental states. AN offers a graphical causal model that captures the dynamics of a social process. The details of the formalism are presented, along with illustrative examples. A software implementing the formalism is available in http://actionnetwork.epizy.com.
Featured Articles Datacenters are a fundamental part of the social infrastructure in today s worl... more Featured Articles Datacenters are a fundamental part of the social infrastructure in today s world. While outdoor free air is used to cool datacenter computers, the technique is diffi cult to apply in hot countries. This article outlines the concept behind an energy-effi cient datacenter called the GDC-DC that is the product of joint research by Hitachi and Universiti Teknologi PETRONAS. To achieve energy effi ciency in the ASEAN region, optimization is extended beyond datacenter energy demand to include the energy supplied by GDC. GDC uses SACs because of their superior energy effi ciency compared to ECs. Operational data from the GDC plant at Universiti Teknologi PETRONAS was used to estimate the PUE using Hitachi s SAC at 1.21 (1.0 is energy use for computer execution and 0.21 is for computer cooling). This compares to typical PUE values in Malaysia of 1.6, with world-leading datacenters achieving about 1.1. The research found that use of SAC played a key role in achieving lower PUEs, even in hot areas where free cool air cannot be used.
We consider in this paper the possibility of embedding a quantum search algorithm within a classi... more We consider in this paper the possibility of embedding a quantum search algorithm within a classical binary search framework. The result appears promising: taking full advantage of quantum parallelism, we show that it may actually be possible to search an unstructured list in O(lg(N)), provided we are willing to restart the quantum search multiple times with a different sequence of qubits and perform a series of non-unitary measurements at the end of each.
Abstract We present in this paper a framework for free-form deformation of point-based geometry. ... more Abstract We present in this paper a framework for free-form deformation of point-based geometry. To perform the deformation, we propose a sketch-based user interface similar to that described in Teddy [8]. To prevent tearing up of under-sampled surface regions due to ...
In our university, an Information Technology (IT) course project is commonly assigned in one of t... more In our university, an Information Technology (IT) course project is commonly assigned in one of three ways: 1) the teacher creates the problem statement for the students to solve, 2) the students create their own problem statements, and 3) an external company poses a problem statement for the students to solve. In a recent offering of a Computer Project Management (CPM) course however, we decided to adopt an entirely different approach, with the main objective being to expose students as close as is feasible to the reality of computer project management. While approach 3) may seem to be the best approach where realism is concerned, we find that it is not feasible in our situation for the following reasons: 1) it is difficult to find a cooperative company with IT interest and awareness close to our university, 2) in our experience, companies tend to over-demand and expect more than can be delivered by our students within a period of four typically crammed months -generally students have heavy workload as well in co-curriculum activities and other registered courses. Hence, we devise an approach whereby students in our class divide themselves into groups, and each group plays a dual role -as a 'client' for another student group in the class, and as a software development team for yet another different student group in the class. A client poses itself as an external organization, and states requirements for a developer to fulfill by implementing a project. Though the demand on the student time and commitment in the 'simulation' is fairly high compared to that had approaches 1) and 2) been used -students have to function both as clients and as developers -, based on their feedbacks and on our own observations, we found that the simulation has been a very effective pedagogical vehicle for delivering to students what 'real' CPM is like.
Featured Articles Datacenters are a fundamental part of the social infrastructure in today s worl... more Featured Articles Datacenters are a fundamental part of the social infrastructure in today s world. While outdoor free air is used to cool datacenter computers, the technique is diffi cult to apply in hot countries. This article outlines the concept behind an energy-effi cient datacenter called the GDC-DC that is the product of joint research by Hitachi and Universiti Teknologi PETRONAS. To achieve energy effi ciency in the ASEAN region, optimization is extended beyond datacenter energy demand to include the energy supplied by GDC. GDC uses SACs because of their superior energy effi ciency compared to ECs. Operational data from the GDC plant at Universiti Teknologi PETRONAS was used to estimate the PUE using Hitachi s SAC at 1.21 (1.0 is energy use for computer execution and 0.21 is for computer cooling). This compares to typical PUE values in Malaysia of 1.6, with world-leading datacenters achieving about 1.1. The research found that use of SAC played a key role in achieving lower PUEs, even in hot areas where free cool air cannot be used.
2015 Seventh International Conference on Ubiquitous and Future Networks, 2015
Electricity consumption for cooling purpose is known to be the most expensive operational cost fa... more Electricity consumption for cooling purpose is known to be the most expensive operational cost factor in data centers. Inefficient cooling leads to high temperature and this in turn leads to hardware failure. This paper proposes a Thermal Aware Modified Least Slack Time Round Robin Based (MLST-RR) scheduling algorithm that can avoid high thermal stress circumstances such as large hotspots, thermal violations as well as reduce electricity consumption for cooling in data center labs. The experimental results show that, the thermal aware MLST-RR is able to significantly decrease the electricity consumption while maintaining competitive performance. Specifically, the thermal aware scheduling algorithm saves electricity consumption as much as 15000KW compared to the benchmark job scheduling algorithms such as Round Robin (RR) and First Come First Serve (FCFS); this is an electrical saving of 8.4%.
Over the decades people have seen a change from large mainframe computing to commodity, off-the-s... more Over the decades people have seen a change from large mainframe computing to commodity, off-the-shelf clusters of high performance computers. Currently data centers have thousands or tens of thousands of high performance computers that provides services as well as computation for tens or hundreds of thousands of users. Traditional IT challenges such as scheduling, resource allocation and now data centers are dealing with power consumption, it is the most expensive operational cost factor in data centers. Inefficient cooling leads to high temperature and this in turn leads to hardware failure. In this paper a Hybrid Integrated Thermal Aware Scheduling Algorithms are proposed based on baseline approaches. The aim of this paper is to minimize cooling energy consumption in data center labs when assigning jobs for computation. These algorithms avoid high thermal stress situations such as large hotspots and thermal violations events. The results show that the Hybrid Integrated Thermal awa...
In this paper, we address the problem of three dimensional human pose tracking and estimation usi... more In this paper, we address the problem of three dimensional human pose tracking and estimation using Particle Swarm Optimization (PSO) with an improved silhouette extraction mechanism. In this work, the tracking problem is formulated as a nonlinear function optimization problem so the main objective is to optimize the fitness function between the 3D human model and the image observations. In order to improve the tracking performance, new shadow detection, removal and a level-set mechanism are applied during silhouette extraction. Both the silhouette and edge likelihood are used in the fitness function. Experiments using HumanEva-II dataset demonstrate that the proposed approach performance is considerably better than baseline algorithm which uses the Annealed Particle Filter (APF).
Adopting the framework of two-coupled superconducting charges model, we discussed the information... more Adopting the framework of two-coupled superconducting charges model, we discussed the information entropy of two qubits initially prepared in a mixed state and allowed to interact with their environment. The impact of the different parameters of the system is explicitly investigated. Present calculations show that a strong mutual entropy is obtained for a long interaction time when the two qubits are initially in a mixed state with the environment switched off. We have identified a class of two-qubit states that have a rich dynamics when the deviation between the characteristic energies of the qubits become minimum. It was found that the total correlation decreases abruptly to zero in a finite time due to the influence of the strong environment.
An information-centric energy infrastructure: The Berkeley view ... Randy H. Katz∗, David E. Cull... more An information-centric energy infrastructure: The Berkeley view ... Randy H. Katz∗, David E. Culler, Seth Sanders, Sara Alspaugh, Yanpei Chen, Stephen Dawson-Haggerty, Prabal Dutta, Mike He, Xiaofan Jiang, Laura Keys, Andrew Krioukov, Ken Lutz, Jorge Ortiz, ...
Agent-based social simulations are typically described in imperative form. While this facilitates... more Agent-based social simulations are typically described in imperative form. While this facilitates implementation as computer programs, it makes implicit the different assumptions made, both about the functional form and the causal ordering involved. As a solution to the problem, a probabilistic graphical model, Action Network (AN), is proposed in this paper for social simulation. Simulation variables are represented by nodes, and causal links by edges. An Action Table is associated with each node, describing incremental probabilistic actions to be performed in response to fuzzy parental states. AN offers a graphical causal model that captures the dynamics of a social process. Details of the formalism are presented along with illustrative examples. Software that implements the formalism is available at http://actionnetwork.epizy.com.
Agent-based social simulations are typically described in imperative form. While this facilitates... more Agent-based social simulations are typically described in imperative form. While this facilitates implementation as computer programs, it makes implicit the different assumptions made, both about the functional form and the causal ordering involved. As a solution to the problem, a probabilistic graphical model, Action Network (AN), is proposed in this paper for social simulation. Simulation variables are represented by nodes, and causal links by edges. An Action Table is associated with each node, describing incremental probabilistic actions to be performed in response to fuzzy parental states. AN offers a graphical causal model that captures the dynamics of a social process. The details of the formalism are presented, along with illustrative examples. A software implementing the formalism is available in http://actionnetwork.epizy.com.
Featured Articles Datacenters are a fundamental part of the social infrastructure in today s worl... more Featured Articles Datacenters are a fundamental part of the social infrastructure in today s world. While outdoor free air is used to cool datacenter computers, the technique is diffi cult to apply in hot countries. This article outlines the concept behind an energy-effi cient datacenter called the GDC-DC that is the product of joint research by Hitachi and Universiti Teknologi PETRONAS. To achieve energy effi ciency in the ASEAN region, optimization is extended beyond datacenter energy demand to include the energy supplied by GDC. GDC uses SACs because of their superior energy effi ciency compared to ECs. Operational data from the GDC plant at Universiti Teknologi PETRONAS was used to estimate the PUE using Hitachi s SAC at 1.21 (1.0 is energy use for computer execution and 0.21 is for computer cooling). This compares to typical PUE values in Malaysia of 1.6, with world-leading datacenters achieving about 1.1. The research found that use of SAC played a key role in achieving lower PUEs, even in hot areas where free cool air cannot be used.
We consider in this paper the possibility of embedding a quantum search algorithm within a classi... more We consider in this paper the possibility of embedding a quantum search algorithm within a classical binary search framework. The result appears promising: taking full advantage of quantum parallelism, we show that it may actually be possible to search an unstructured list in O(lg(N)), provided we are willing to restart the quantum search multiple times with a different sequence of qubits and perform a series of non-unitary measurements at the end of each.
Abstract We present in this paper a framework for free-form deformation of point-based geometry. ... more Abstract We present in this paper a framework for free-form deformation of point-based geometry. To perform the deformation, we propose a sketch-based user interface similar to that described in Teddy [8]. To prevent tearing up of under-sampled surface regions due to ...
In our university, an Information Technology (IT) course project is commonly assigned in one of t... more In our university, an Information Technology (IT) course project is commonly assigned in one of three ways: 1) the teacher creates the problem statement for the students to solve, 2) the students create their own problem statements, and 3) an external company poses a problem statement for the students to solve. In a recent offering of a Computer Project Management (CPM) course however, we decided to adopt an entirely different approach, with the main objective being to expose students as close as is feasible to the reality of computer project management. While approach 3) may seem to be the best approach where realism is concerned, we find that it is not feasible in our situation for the following reasons: 1) it is difficult to find a cooperative company with IT interest and awareness close to our university, 2) in our experience, companies tend to over-demand and expect more than can be delivered by our students within a period of four typically crammed months -generally students have heavy workload as well in co-curriculum activities and other registered courses. Hence, we devise an approach whereby students in our class divide themselves into groups, and each group plays a dual role -as a 'client' for another student group in the class, and as a software development team for yet another different student group in the class. A client poses itself as an external organization, and states requirements for a developer to fulfill by implementing a project. Though the demand on the student time and commitment in the 'simulation' is fairly high compared to that had approaches 1) and 2) been used -students have to function both as clients and as developers -, based on their feedbacks and on our own observations, we found that the simulation has been a very effective pedagogical vehicle for delivering to students what 'real' CPM is like.
Featured Articles Datacenters are a fundamental part of the social infrastructure in today s worl... more Featured Articles Datacenters are a fundamental part of the social infrastructure in today s world. While outdoor free air is used to cool datacenter computers, the technique is diffi cult to apply in hot countries. This article outlines the concept behind an energy-effi cient datacenter called the GDC-DC that is the product of joint research by Hitachi and Universiti Teknologi PETRONAS. To achieve energy effi ciency in the ASEAN region, optimization is extended beyond datacenter energy demand to include the energy supplied by GDC. GDC uses SACs because of their superior energy effi ciency compared to ECs. Operational data from the GDC plant at Universiti Teknologi PETRONAS was used to estimate the PUE using Hitachi s SAC at 1.21 (1.0 is energy use for computer execution and 0.21 is for computer cooling). This compares to typical PUE values in Malaysia of 1.6, with world-leading datacenters achieving about 1.1. The research found that use of SAC played a key role in achieving lower PUEs, even in hot areas where free cool air cannot be used.
2015 Seventh International Conference on Ubiquitous and Future Networks, 2015
Electricity consumption for cooling purpose is known to be the most expensive operational cost fa... more Electricity consumption for cooling purpose is known to be the most expensive operational cost factor in data centers. Inefficient cooling leads to high temperature and this in turn leads to hardware failure. This paper proposes a Thermal Aware Modified Least Slack Time Round Robin Based (MLST-RR) scheduling algorithm that can avoid high thermal stress circumstances such as large hotspots, thermal violations as well as reduce electricity consumption for cooling in data center labs. The experimental results show that, the thermal aware MLST-RR is able to significantly decrease the electricity consumption while maintaining competitive performance. Specifically, the thermal aware scheduling algorithm saves electricity consumption as much as 15000KW compared to the benchmark job scheduling algorithms such as Round Robin (RR) and First Come First Serve (FCFS); this is an electrical saving of 8.4%.
Over the decades people have seen a change from large mainframe computing to commodity, off-the-s... more Over the decades people have seen a change from large mainframe computing to commodity, off-the-shelf clusters of high performance computers. Currently data centers have thousands or tens of thousands of high performance computers that provides services as well as computation for tens or hundreds of thousands of users. Traditional IT challenges such as scheduling, resource allocation and now data centers are dealing with power consumption, it is the most expensive operational cost factor in data centers. Inefficient cooling leads to high temperature and this in turn leads to hardware failure. In this paper a Hybrid Integrated Thermal Aware Scheduling Algorithms are proposed based on baseline approaches. The aim of this paper is to minimize cooling energy consumption in data center labs when assigning jobs for computation. These algorithms avoid high thermal stress situations such as large hotspots and thermal violations events. The results show that the Hybrid Integrated Thermal awa...
In this paper, we address the problem of three dimensional human pose tracking and estimation usi... more In this paper, we address the problem of three dimensional human pose tracking and estimation using Particle Swarm Optimization (PSO) with an improved silhouette extraction mechanism. In this work, the tracking problem is formulated as a nonlinear function optimization problem so the main objective is to optimize the fitness function between the 3D human model and the image observations. In order to improve the tracking performance, new shadow detection, removal and a level-set mechanism are applied during silhouette extraction. Both the silhouette and edge likelihood are used in the fitness function. Experiments using HumanEva-II dataset demonstrate that the proposed approach performance is considerably better than baseline algorithm which uses the Annealed Particle Filter (APF).
Adopting the framework of two-coupled superconducting charges model, we discussed the information... more Adopting the framework of two-coupled superconducting charges model, we discussed the information entropy of two qubits initially prepared in a mixed state and allowed to interact with their environment. The impact of the different parameters of the system is explicitly investigated. Present calculations show that a strong mutual entropy is obtained for a long interaction time when the two qubits are initially in a mixed state with the environment switched off. We have identified a class of two-qubit states that have a rich dynamics when the deviation between the characteristic energies of the qubits become minimum. It was found that the total correlation decreases abruptly to zero in a finite time due to the influence of the strong environment.
An information-centric energy infrastructure: The Berkeley view ... Randy H. Katz∗, David E. Cull... more An information-centric energy infrastructure: The Berkeley view ... Randy H. Katz∗, David E. Culler, Seth Sanders, Sara Alspaugh, Yanpei Chen, Stephen Dawson-Haggerty, Prabal Dutta, Mike He, Xiaofan Jiang, Laura Keys, Andrew Krioukov, Ken Lutz, Jorge Ortiz, ...
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