|
|
|
Marco Altosole, Ugo Campora, Massimo Figari, Michele Laviola and Michele Martelli
A turbocharged diesel engine numerical model, suitable for real-time ship manoeuvre simulation, is presented in this paper. While some engine components (mainly the turbocharger, intercooler and manifolds) are modelled by a filling and emptying approach,...
ver más
|
|
|
|
|
|
|
Eirini Georgoulaki, Kostas Kollias and Tami Tamir
We study cost-sharing games in real-time scheduling systems where the server?s activation cost in every time slot is a function of its load. We focus on monomial cost functions and consider both the case when the degree is less than one (inducing positiv...
ver más
|
|
|
|
|
|
|
Peter Grohmann and Michael S. J. Walter
Statistical tolerance analysis based on Monte Carlo simulation can be applied to obtain a cost-optimized tolerance specification that satisfies both the cost and quality requirements associated with manufacturing. However, this process requires time-cons...
ver más
|
|
|
|
|
|
|
Baoquan Kou, Feng Xing, Lu Zhang, Chaoning Zhang and Yiheng Zhou
The traditional model of the electromagnetic force and torque does not take the coil corners into account, which is the major cause for the motor fluctuation. To reduce the fluctuation, a more accurate real-time computation model, which considers the inf...
ver más
|
|
|
|
|
|
|
Zeqiang Chen and Nengcheng Chen
The timely sharing and interoperation of multi-source cross-sectoral information is an important issue for a Geographic Information System (GIS). To study this issue, a real-time and open GIS model called GeoSensor is proposed in this work. GeoSensor int...
ver más
|
|
|
|
|
|
|
Derry Pramono Adi, Lukman Junaedi, Frismanda, Agustinus Bimo Gumelar, Andreas Agung Kristanto
Pág. 60 - 74
Initially, the goal of Machine Learning (ML) advancements is faster computation time and lower computation resources, while the curse of dimensionality burdens both computation time and resource. This paper describes the benefits of the Feature Selection...
ver más
|
|
|
|
|
|
|
Chady Ghnatios, Victor Champaney, Angelo Pasquale and Francisco Chinesta
|
|
|
|
|
|
|
Akriti Sharma, Ayaz Z. Ansari, Radhika Kakulavarapu, Mette H. Stensen, Michael A. Riegler and Hugo L. Hammer
Assisted reproductive technology is used for treating infertility, and its success relies on the quality and viability of embryos chosen for uterine transfer. Currently, embryologists manually assess embryo development, including the time duration betwee...
ver más
|
|
|
|
|
|
|
State of charge (SOC) estimation is a key issue in battery management systems. The challenge lies in balancing the trade-off between accuracy and computation cost. To this end, we propose an alternate method by combining the ampere-hour integral (AHI) me...
ver más
|
|
|
|
|
|
|
Shen-Haw Ju, Yu-Cheng Huang and Hsin-Hsiang Hsu
This paper investigates efficient design of offshore wind turbine (OWT) support structures under ultimate loads and proposes three schemes to overcome excessive computer time due to many required external loads. The first is the assumption of a rigid sup...
ver más
|
|
|
|
|
|
|
Iwan Syarif
Pág. 277 - 290
This paper describes the advantages of using Evolutionary Algorithms (EA) for feature selection on network intrusion dataset. Most current Network Intrusion Detection Systems (NIDS) are unable to detect intrusions in real time because of high dimensional...
ver más
|
|
|
|
|
|
|
Steffen Frey
Increasingly fast computing systems for simulations and high-accuracy measurement techniques drive the generation of time-dependent volumetric data sets with high resolution in both time and space. To gain insights from this spatio-temporal data, the com...
ver más
|
|
|
|
|
|
|
Mengran Zhou, Xiaokang Yao, Ziwei Zhu and Feng Hu
A prerequisite for refined load management, crucial for intelligent energy management, is the precise classification of electric loads. However, the high dimensionality of electric load samples and poor identification accuracy of industrial scenarios mak...
ver más
|
|
|
|
|
|
|
Caleb T. Lodge and Robert J. Weaver
Efficiency in storm surge modeling is crucial for forecasting coastal hazards in real-time. While computation cost may not be the main concern for organizations with ample resources, the robustness of forecasts generated by most parties are restricted by...
ver más
|
|
|
|
|
|
|
Markus Rabe, Majsa Ammouriova, Dominik Schmitt and Felix Dross
The distribution process in business-to-business materials trading is among the most complex and in transparent ones within logistics. The highly volatile environment requires continuous adaptations by the responsible decision-makers, who face a substant...
ver más
|
|
|
|
|
|
|
Bart Wymeersch, Frederik De Belie, Claus B. Rasmussen and Lieven Vandevelde
Line start permanent magnet synchronous motors (LS-PMSM) are energy-efficient synchronous motors that can start asynchronously due to a squirrel cage in the rotor. The drawback, however, with this motor type is the chance of failure to synchronize after ...
ver más
|
|
|
|
|
|
|
Huifu Jiang, Shi An, Jian Wang and Jianxun Cui
This research proposed an eco-approach and departure system for left-turn vehicles at a fixed-time signalized intersection. This system gives higher priority to enhancing traffic safety than improving mobility and fuel efficiency, and optimizes the entir...
ver más
|
|
|
|
|
|
|
Yu Chen, Jianwan Ding, Yu Chen and Dong Yan
The introduction of a dynamic model in robot trajectory tracking control design can significantly improve its trajectory tracking accuracy, but there are many uncertainties in the robot dynamic model which can be dealt with through robust control and ada...
ver más
|
|
|
|
|
|
|
Xiaobin Qian, Helong Shen, Yong Yin and Dongdong Guo
In this paper, we present a novel nonlinear model predictive control (NMPC) algorithm based on the Laguerre function for dynamic positioning ships to solve the problems of input saturation, unknown time-varying disturbances, and heavy computation. The no...
ver más
|
|
|
|
|
|
|
Venushini Rajendran, R Kanesaraj Ramasamy and Wan-Noorshahida Mohd-Isa
The Internet of Things (IoT) is now expanding and becoming more popular in most industries, which leads to vast growth in cloud computing. The architecture of IoT is integrated with cloud computing through web services. Recently, Dynamic Web Service Comp...
ver más
|
|
|
|