The Experts below are selected from a list of 291 Experts worldwide ranked by ideXlab platform
J. Wagner - One of the best experts on this subject based on the ideXlab platform.
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Can one measure timelike Compton scattering at LHC
Physical Review D, 2009Co-Authors: Bernard Pire, L. Szymanowski, J. WagnerAbstract:Exclusive photoproduction of dileptons, $\ensuremath{\gamma}N\ensuremath{\rightarrow}{\ensuremath{\ell}}^{+}{\ensuremath{\ell}}^{\ensuremath{-}}N$, is and will be measured in ultraperipheral collisions at hadron colliders, such as the Tevatron, Relativistic Heavy Ion Collider, and the LHC. We demonstrate that the timelike deeply virtual Compton scattering mechanism $\ensuremath{\gamma}q\ensuremath{\rightarrow}{\ensuremath{\ell}}^{+}{\ensuremath{\ell}}^{\ensuremath{-}}q$ where the lepton pair comes from the Subprocess $\ensuremath{\gamma}q\ensuremath{\rightarrow}{\ensuremath{\gamma}}^{*}q$ dominates in some accessible kinematical regions, thus opening a new way to study generalized parton distributions in the nucleon. High energy kinematics enables one to probe parton distributions at small skewedness. This Subprocess interferes at the amplitude level with the pure QED Subprocess $\ensuremath{\gamma}{\ensuremath{\gamma}}^{*}\ensuremath{\rightarrow}{\ensuremath{\ell}}^{+}{\ensuremath{\ell}}^{\ensuremath{-}}$ where the virtual photon is radiated from the nucleon.
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Can one measure timelike Compton scattering at LHC ?
Physical Review D, 2009Co-Authors: B. Pire, L. Szymanowski, J. WagnerAbstract:Exclusive photoproduction of dileptons, gamma N->e+e-N, is and will be measured in ultraperipheral collisions at hadron colliders, such as the Tevatron, RHIC and the LHC . We demonstrate that the timelike deeply virtual Compton scattering (TCS) mechanism gamma q -> e+e- q where the lepton pair comes from the Subprocess gamma q -> gamma* q dominates in some accessible kinematical regions, thus opening a new way to study generalized parton distributions (GPD) in the nucleon. High energy kinematics enables to probe parton distributions at small skewedness. This Subprocess interferes at the amplitude level with the pure QED Subprocess gamma gamma* -> e+e- where the virtual photon is radiated from the nucleon.
Kari Koskinen - One of the best experts on this subject based on the ideXlab platform.
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HoloMAS - An Approach to Process Automation Based on Cooperating Subprocess Agents
Holonic and Multi-Agent Systems for Manufacturing, 2003Co-Authors: Ilkka Seilonen, Teppo Pirttioja, Pekka Appelqvist, Aarne Halme, Kari KoskinenAbstract:An approach to extend process automation systems with cooperating Subprocess agents is presented in this paper. According to this approach a society of Subprocess agents supervises an ordinary process automation system. The functionality of this agent layer includes supervising the lower-level automation system, semi-autonomous reconfiguration of its control logic when needed and query processing for external systems. In this way the approach aims for enhancing the operational flexibility of the automation system. The Subprocess agents utilize several agent-based cooperation mechanisms in order to be able to perform their tasks. The approach is demonstrated with a laboratory test process where process startup and fault-recovery scenarios have been imitated. Experiences from initial test runs are described, too.
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An approach to process automation based on cooperating Subprocess agents
Lecture Notes in Computer Science, 2003Co-Authors: Ilkka Seilonen, Teppo Pirttioja, Pekka Appelqvist, Aarne Halme, Kari KoskinenAbstract:An approach to extend process automation systems with cooperating Subprocess agents is presented in this paper. According to this approach a society of Subprocess agents supervises an ordinary process automation system. The functionality of this agent layer includes supervising the lower-level automation system, semi-autonomous reconfiguration of its control logic when needed and query processing for external systems. In this way the approach aims for enhancing the operational flexibility of the automation system. The Subprocess agents utilize several agent-based cooperation mechanisms in order to be able to perform their tasks. The approach is demonstrated with a laboratory test process where process startup and fault-recovery scenarios have been imitated. Experiences from initial test runs are described, too.
Makoto Takizawa - One of the best experts on this subject based on the ideXlab platform.
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evaluation of data and Subprocess transmission strategies in the tree based fog computing model
Network-Based Information Systems, 2019Co-Authors: Ryuji Oma, Shigenari Nakamura, Tomoya Enokido, Dilawaer Duolikun, Makoto TakizawaAbstract:In order to increase the performance of the IoT (Internet of Things), the fog computing model is proposed. Here, Subprocesses of an application process to handle sensor data are performed on fog nodes in addition to servers. In the TBFC (Tree-Based Fog Computing) model proposed in our previous studies, an application process to handle sensor data is assumed to be a sequence of Subprocesses, i.e. linear model. At each level of a TBFC tree, a same Subprocess is performed on every node. In this paper, we consider a more general model, GTBFC (General TBFC) model of the IoT where Subprocesses of an application process are structured in a tree. Each Subprocess in the process tree is performed on fog nodes which are at a same level in the GTBFC tree. Each leaf Subprocess is performed on edge nodes which communicate with sensor and actuator devices. We also proposed MEG (Minimum Energy in the GTBFC tree) and SMPRG (Selecting Multiple Parents for Recovery in the GTBFC tree) algorithms to select a new parent node for a child node of a faulty node in the GTBFC tree. In the evaluation, we show the energy consumption of nodes in the SMPRG algorithm as 21\(\%\) and 31\(\%\) smaller than the MEG and RD (Random) algorithms.
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NBiS - Evaluation of Data and Subprocess Transmission Strategies in the Tree-Based Fog Computing Model.
Advances in Networked-based Information Systems, 2019Co-Authors: Ryuji Oma, Shigenari Nakamura, Tomoya Enokido, Dilawaer Duolikun, Makoto TakizawaAbstract:In order to increase the performance of the IoT (Internet of Things), the fog computing model is proposed. Here, Subprocesses of an application process to handle sensor data are performed on fog nodes in addition to servers. In the TBFC (Tree-Based Fog Computing) model proposed in our previous studies, an application process to handle sensor data is assumed to be a sequence of Subprocesses, i.e. linear model. At each level of a TBFC tree, a same Subprocess is performed on every node. In this paper, we consider a more general model, GTBFC (General TBFC) model of the IoT where Subprocesses of an application process are structured in a tree. Each Subprocess in the process tree is performed on fog nodes which are at a same level in the GTBFC tree. Each leaf Subprocess is performed on edge nodes which communicate with sensor and actuator devices. We also proposed MEG (Minimum Energy in the GTBFC tree) and SMPRG (Selecting Multiple Parents for Recovery in the GTBFC tree) algorithms to select a new parent node for a child node of a faulty node in the GTBFC tree. In the evaluation, we show the energy consumption of nodes in the SMPRG algorithm as 21\(\%\) and 31\(\%\) smaller than the MEG and RD (Random) algorithms.
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Subprocess transmission strategies for recovering from faults in the tree based fog computing tbfc model
Complex Intelligent and Software Intensive Systems, 2019Co-Authors: Ryuji Oma, Shigenari Nakamura, Tomoya Enokido, Dilawaer Duolikun, Makoto TakizawaAbstract:In order to increase the performance in the IoT (Internet of Things), the fog computing model is proposed. Here, Subprocesses to handle sensor data are performed on fog nodes in addition to servers. Output data processed by a Subprocess of a fog node is sent to a succeeding node. If a fog node is faulty, the preceding nodes are disconnected, i.e. no output data of preceding nodes can be delivered to servers. Another operational node which supports the same Subprocess as the faulty node is an alternate node. In our previous studies, the FTBFC (Fault-tolerant TBFC) and MFTBFC (Modified FTBFC) models are proposed where disconnected nodes send the output data to alternate nodes. In this paper, we newly propose another strategy where a Subprocess of a faulty node is transmitted to surrogate nodes which hold data to be processed. In this paper, we propose an SMSGD (Selecting Multiple Surrogates in Grandparent and Disconnected nodes) algorithm to select surrogate nodes. In the evaluation, we show the energy consumption and execution time of each surrogate node can be reduced compared with the data transmission strategy.
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CISIS - Subprocess Transmission Strategies for Recovering from Faults in the Tree-Based Fog Computing (TBFC) Model
Advances in Intelligent Systems and Computing, 2019Co-Authors: Ryuji Oma, Shigenari Nakamura, Tomoya Enokido, Dilawaer Duolikun, Makoto TakizawaAbstract:In order to increase the performance in the IoT (Internet of Things), the fog computing model is proposed. Here, Subprocesses to handle sensor data are performed on fog nodes in addition to servers. Output data processed by a Subprocess of a fog node is sent to a succeeding node. If a fog node is faulty, the preceding nodes are disconnected, i.e. no output data of preceding nodes can be delivered to servers. Another operational node which supports the same Subprocess as the faulty node is an alternate node. In our previous studies, the FTBFC (Fault-tolerant TBFC) and MFTBFC (Modified FTBFC) models are proposed where disconnected nodes send the output data to alternate nodes. In this paper, we newly propose another strategy where a Subprocess of a faulty node is transmitted to surrogate nodes which hold data to be processed. In this paper, we propose an SMSGD (Selecting Multiple Surrogates in Grandparent and Disconnected nodes) algorithm to select surrogate nodes. In the evaluation, we show the energy consumption and execution time of each surrogate node can be reduced compared with the data transmission strategy.
Ilkka Seilonen - One of the best experts on this subject based on the ideXlab platform.
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HoloMAS - An Approach to Process Automation Based on Cooperating Subprocess Agents
Holonic and Multi-Agent Systems for Manufacturing, 2003Co-Authors: Ilkka Seilonen, Teppo Pirttioja, Pekka Appelqvist, Aarne Halme, Kari KoskinenAbstract:An approach to extend process automation systems with cooperating Subprocess agents is presented in this paper. According to this approach a society of Subprocess agents supervises an ordinary process automation system. The functionality of this agent layer includes supervising the lower-level automation system, semi-autonomous reconfiguration of its control logic when needed and query processing for external systems. In this way the approach aims for enhancing the operational flexibility of the automation system. The Subprocess agents utilize several agent-based cooperation mechanisms in order to be able to perform their tasks. The approach is demonstrated with a laboratory test process where process startup and fault-recovery scenarios have been imitated. Experiences from initial test runs are described, too.
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An approach to process automation based on cooperating Subprocess agents
Lecture Notes in Computer Science, 2003Co-Authors: Ilkka Seilonen, Teppo Pirttioja, Pekka Appelqvist, Aarne Halme, Kari KoskinenAbstract:An approach to extend process automation systems with cooperating Subprocess agents is presented in this paper. According to this approach a society of Subprocess agents supervises an ordinary process automation system. The functionality of this agent layer includes supervising the lower-level automation system, semi-autonomous reconfiguration of its control logic when needed and query processing for external systems. In this way the approach aims for enhancing the operational flexibility of the automation system. The Subprocess agents utilize several agent-based cooperation mechanisms in order to be able to perform their tasks. The approach is demonstrated with a laboratory test process where process startup and fault-recovery scenarios have been imitated. Experiences from initial test runs are described, too.
L. Szymanowski - One of the best experts on this subject based on the ideXlab platform.
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Can one measure timelike Compton scattering at LHC
Physical Review D, 2009Co-Authors: Bernard Pire, L. Szymanowski, J. WagnerAbstract:Exclusive photoproduction of dileptons, $\ensuremath{\gamma}N\ensuremath{\rightarrow}{\ensuremath{\ell}}^{+}{\ensuremath{\ell}}^{\ensuremath{-}}N$, is and will be measured in ultraperipheral collisions at hadron colliders, such as the Tevatron, Relativistic Heavy Ion Collider, and the LHC. We demonstrate that the timelike deeply virtual Compton scattering mechanism $\ensuremath{\gamma}q\ensuremath{\rightarrow}{\ensuremath{\ell}}^{+}{\ensuremath{\ell}}^{\ensuremath{-}}q$ where the lepton pair comes from the Subprocess $\ensuremath{\gamma}q\ensuremath{\rightarrow}{\ensuremath{\gamma}}^{*}q$ dominates in some accessible kinematical regions, thus opening a new way to study generalized parton distributions in the nucleon. High energy kinematics enables one to probe parton distributions at small skewedness. This Subprocess interferes at the amplitude level with the pure QED Subprocess $\ensuremath{\gamma}{\ensuremath{\gamma}}^{*}\ensuremath{\rightarrow}{\ensuremath{\ell}}^{+}{\ensuremath{\ell}}^{\ensuremath{-}}$ where the virtual photon is radiated from the nucleon.
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Can one measure timelike Compton scattering at LHC ?
Physical Review D, 2009Co-Authors: B. Pire, L. Szymanowski, J. WagnerAbstract:Exclusive photoproduction of dileptons, gamma N->e+e-N, is and will be measured in ultraperipheral collisions at hadron colliders, such as the Tevatron, RHIC and the LHC . We demonstrate that the timelike deeply virtual Compton scattering (TCS) mechanism gamma q -> e+e- q where the lepton pair comes from the Subprocess gamma q -> gamma* q dominates in some accessible kinematical regions, thus opening a new way to study generalized parton distributions (GPD) in the nucleon. High energy kinematics enables to probe parton distributions at small skewedness. This Subprocess interferes at the amplitude level with the pure QED Subprocess gamma gamma* -> e+e- where the virtual photon is radiated from the nucleon.
