the proceedings contain 9 papers. the topics discussed include: simulation-based performance prediction of HPC applications: a case study of HPL;automation of NERSC Application usage report;exascale potholes for HPC: ...
ISBN:
(纸本)9781665422802
the proceedings contain 9 papers. the topics discussed include: simulation-based performance prediction of HPC applications: a case study of HPL;automation of NERSC Application usage report;exascale potholes for HPC: execution performance and variability analysis of the flagship application code HemeLB;HPC software tracking strategies for a diverse workload;integrating science gateways with secure cloud computing resources: an examination of two deployment patterns and their requirements;demystifying python package installation with Conda-Env-Mod;OpenACC profiling support for clang and LLVM using Clacc and TAU;and usability and performance improvements in hatchet;empirical modeling of spatially diverging performance.
In this paper, for multi-machine power system, computationally fast binary particle swarm optimization (BPSO) based power system stabilizer design is presented. It is necessary to make the best setting of PSS (Power S...
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ISBN:
(数字)9781728176123
ISBN:
(纸本)9781728176130
In this paper, for multi-machine power system, computationally fast binary particle swarm optimization (BPSO) based power system stabilizer design is presented. It is necessary to make the best setting of PSS (Power System Stabilizer) parameters for improving its contribution towards the damping oscillation with less computational time for solving the PSO programming. the result shows the performance of PSS in a multi-machine environment for a proposed objective function. Time-domain simulation results of the PSO based PSS under different operating conditions are demonstrated on the 16-machine, 68-bus system.
Submerged aquatic vegetation (SAV) is considered an important driver of the zooplankton community, owing to the refuge offered by its structural complexity. However, non-destructive in situ approaches to assess quanti...
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Submerged aquatic vegetation (SAV) is considered an important driver of the zooplankton community, owing to the refuge offered by its structural complexity. However, non-destructive in situ approaches to assess quantitatively the features of SAV beds and their effects on zooplankton community are still lacking. this study aims to: 1) estimate SAV cover and complexity using subaquatic upward photographs (SUP) and 2) analyse the relationship between SAV variables and crustacean zooplankton composition and functional diversity (FD). SAV biomass and zooplankton were sampled at 52 stations in a large fluvial lake. Two metrics based on SUP were used to quantify SAV cover and complexity: 1) the percentage of the underwater landscape occupied by SAV (PLAND: SAV cover), and 2) its perimeter-area fractal dimension (PAFRAC: SAV complexity). Zooplankton composition and functional diversity were estimated based on crustacean species assemblages and functional traits. We used linear models to describe the relationships between SAV indices, environmental variables and zooplankton abundance, biomass and FD. SUP was an effective method to estimate in situ SAV cover and complexity. PLAND and PAFRAC were positively related to SAV biomass and zooplankton abundance, yielding a non-destructive assessment of the SAV-zooplankton relationships. Our study partially supports the habitat complexity-ecological niche availability hypothesis, as SAV cover and complexity influenced zooplankton functional groups and diversity indices. However, water transparency and depth also had important effects in interaction with PLAND and PAFRAC, and it remains difficult to fully disentangle the effects of SAV complexity from SAV cover on crustacean zooplankton community structure. Crown Copyright (C) 2019 Published by Elsevier B.V. on behalf of international Association for Great Lakes Research. All rights reserved.
In order to improve the freshness and safety of fresh food, packaging is necessary for the processing industry of agricultural products. At present, the packaging of fresh food in China is mainly manual packaging, whi...
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the attendance of employees was recently seen as one of the most important elements or issues in paying salaries. Various automatic identification technologies such as radio frequency identification have been more pop...
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the attendance of employees was recently seen as one of the most important elements or issues in paying salaries. Various automatic identification technologies such as radio frequency identification have been more popular (RFID). A wide range of research and other applications have been produced to maximize this technology and express certain concerns. RFID is a wireless equipment that uses data move from an electronic tag, identify as RFID tag, or label for sending data to RFID reader, for the rationale of classify and pathway objects via radio waves. In addition to the programmable logic circuit, such as Arduino, the current study aims at recommending an RFID based Attendance Management System (AMS), as well as a system of information services on academic domains. the system proposed is aimed at managing the attendance system of employees with RFID tags/stickers to communicate with an Arduino UNO connecting RFID Reader/Writer module. the Arduino UNO receives authentication data, which is then sent through an Ethernet module, to Google Spreadsheets in order to store and access data in real time. the attendance system is therefore non-paper and organized because of the timestamp, the card key and the columns on the API table.
To improve the learning efficiency in robotic simulation environments with physical characteristics, this paper presents a toolkit for mobile robotics teaching via extending the MATLAB/Simulink using ROS and Gazebo si...
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ISBN:
(数字)9781665414890
ISBN:
(纸本)9781665430531
To improve the learning efficiency in robotic simulation environments with physical characteristics, this paper presents a toolkit for mobile robotics teaching via extending the MATLAB/Simulink using ROS and Gazebo simulator. the content discusses the proposed software architecture firstly, the access to virtual sensors and actuators has been integrated and the communication details are also hidden to allow the students to focus on programming and debugging their key algorithms. An example showing how to carry out the mobile robotic teaching using the proposed toolkit is also given. After properly creating the robot models under Gazebo, the code developed for the simulation process can be directly implemented in the real robot without modifications. It is proved by the teaching practice that the proposed toolkit can significantly speed up development of robotic solutions and boost the student active learning experience.
We present work-in-progress on two projects whose combination enables live coding music in Haskell: cnoidal, a library for representing and transforming music, and Hyper-Haskell, a Haskell interpreter with a worksheet...
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ISBN:
(纸本)9781450368117
We present work-in-progress on two projects whose combination enables live coding music in Haskell: cnoidal, a library for representing and transforming music, and Hyper-Haskell, a Haskell interpreter with a worksheet interface and graphical output. the library represents music as a collection of time intervals tagged with values, a data structure known as temporal media. Parametric polymorphism suggests various functor instances, like Applicative Functor, which we find to be highly useful for live coding. However, a lawful Monad instance can only be defined for some variants of the data type. We stress that these projects are not a specialized music environment, instead we compose a library with a general purpose interpreter.
the proceedings contain 15 papers. the special focus in this conference is on Model-Based Safety and Assessment. the topics include: Identification and Quantification of Hazardous Scenarios for Automated Driving;an In...
ISBN:
(纸本)9783030589196
the proceedings contain 15 papers. the special focus in this conference is on Model-Based Safety and Assessment. the topics include: Identification and Quantification of Hazardous Scenarios for Automated Driving;an Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems;SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measures;Model-Based Error Detection for Industrial Automation Systems Using LSTM Networks;u-Map: A Reference Map for Safe Handling of Runtime Uncertainties;argument-Driven Safety Engineering of a Generic Infusion Pump with Digital Dependability Identities;Model-Based Risk Analysis for an Open-Source PCA Pump Using AADL Error Modeling;Reliability Evaluation of Reconfigurable NMR Architecture Supported with Hot Standby Spare: Markov Modeling and Formulation;branching Transitions for Semi-Markov Processes with Application to Safety-Critical Systems;optimal Scheduling of Preventive Maintenance for Safety Instrumented Systems Based on Mixed-Integer programming;counterexample Interpretation for Contract-Based Design;property-Based Fault Injection: A Novel Approach to Model-Based Fault Injection for Safety Critical Systems;failure Mode Reasoning in Model Based Safety Analysis.
Wireless localization has become a hot issue in Internet of things, but the none-line-of-sight (NLOS) propagation will degrade the performance of traditional localization algorithms. therefore, this paper proposed an ...
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ISBN:
(纸本)9789811365041;9789811365034
Wireless localization has become a hot issue in Internet of things, but the none-line-of-sight (NLOS) propagation will degrade the performance of traditional localization algorithms. therefore, this paper proposed an improved range scaling algorithm (RSA) in the wireless sensor networks, where we use a two-step improvement to enhance the constrained optimization model. Simulations demonstrate that the proposed algorithm outperforms the compared algorithms, and effectively suppress the localization error caused by the none-line-of-sight propagation.
Scenario-Based programming (SBP) is an approach to modeling and running complex, event-based, system behavior by composing narrower views of overall behavior. In this paper we introduce significant extensions to the s...
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ISBN:
(数字)9783030378738
ISBN:
(纸本)9783030378738;9783030378721
Scenario-Based programming (SBP) is an approach to modeling and running complex, event-based, system behavior by composing narrower views of overall behavior. In this paper we introduce significant extensions to the strict interfaces by which scenarios in existing SBP frameworks specify what the system must, may, or must not do, and to the mechanisms that execute these scenarios: (i) we allow events with a multitude of variables and parameters;each event can become an entire model, and each event selection can be the selection of a major section of the new state of the system and the environment;(ii) we extend the basic request/block SBP interfaces with a rich set of composable constraints and functions, which can describe desired and undesired variable assignments, where each constraint may relate to all variables or to just a subset thereof;(iii) we introduce a central, application-agnostic mechanism for adding optimization to standard event selection;and (iv) we relate our method to Null-Space Behavior (NSB)-a successful compositional approach in control theory. We demonstrate these language-independent concepts through several use cases that are implemented in a variety of languages and solvers.
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