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Sentiment analysis and opinion mining is a task to analyze people's opinions or sentiments from textual data, which is very useful for the analysis of many NLP applications. The difficulty of this task is that there are a variety of sentiments inside documents, and these sentiments have variety expressions. Hence, it is hard to extract all sentiments using a dictionary that is commonly used. In this...
The main concern for airlines is fuel consumption but also a long-term expectancy about the engine cost during its full life. This includes maintenance frequency and shop costs. In the next five years, Snecma, as engine manufacturer, needs to be able to collect more than one gigabyte of data per flight and per engine. This becomes huge as the flow of data continuously increases and should be used...
Visualization of design space has been performed for researching and developing a single-stage launch vehicle with hybrid rocket engine by using design informatics, which has three points of view such as problem definition, optimization, and data mining. The primary objective of the present design is that the ascendancy of extinction-reignition, which is one of the beneficial point of hybrid rocket,...
This paper discusses the results of applied research on the eco-driving domain based on a huge data set produced from a fleet of Lisbon's public transportation buses for a three-year period. This data set is based on events automatically extracted from the control area network bus and enriched with GPS coordinates, weather conditions, and road information. We apply online analytical processing (OLAP)...
Army logistical systems and databases contain massive amounts of data that require effective methods of extracting actionable information and generating knowledge. Vehicle diagnostics and prognostics can be challenging to analyze from the Command and Control (C2) perspective, making management of the fleet difficult within existing systems. Databases do not contain root causes or the case-based analyses...
The complication exists almost in all the business applications to find out the optimal solution and envisage how the solution behaves for the changes in the equipped parameters. The engineering processing problem will have a large number of solutions out of which some are feasible and some are infeasible solutions. The aim of optimizing task is to get the best solution out of the feasible solutions...
In nuclear power reactor, temperature of the core has to be maintained within the safety limits. This can be achieved by monitoring and controlling the various system's parameter of nuclear reactor. One of the important system of nuclear reactor is primary heat transfer (PHT) system. Therefore, any fault in the PHT system may lead to the state where PHT parameters cross the safety limits, and reactor...
Energy producers are facing a challenging task in trying to monitor the energy conversion processes due to their complexity, nonlinear dynamics, and a large number of affecting factors. There are several methods available which can deal with multidimensionality and which could be used in industrial monitoring systems, but it seems that the methods used by the industry are not necessarily fully compatible...
In order to ensure shipping enterprises' operating profit, the period of shipping operating evaluation and decision are usually understood as a key. This article applies the financial evaluation indicators of shipping operating management process to analysis the relationship between income and expenditure of shipping operation, moreover, the article combines shipping operating data of shipping enterprises...
It has been the important method to monitor oil spill at sea based on satellite remote sensing. This paper applies spectrum analysis and image processing method to extract the information about oil spilling form vessels at sea. By testing and analyzing spectroscopic characters of each oil spill at sea, and applying image processing method to find out the best combinations of satellite channels and...
Decision tree, as an important classification algorithm in data mining, has been successfully applied in many fields. In this paper, based on the analysis of the essential characteristics of decision tree algorithm, we give a leaf criterion for multi-decision values of decision attribute, and establish a mathematical model for the selection for expanded attributes; also we give a concrete model based...
In order to improve boiler efficiency and reduce NOx emissions of a coal-fired boiler, a new solution strategy of combustion optimization is proposed is this paper. The key point of combustion optimization is the optimal setpoints of fuel and air parameters. As the development of electric industry, large amounts of history data are accumulated and data mining technique is applied to find some useful...
Space rendezvous is the foundation of space operation and application. In this paper, mission planning of long distance guidance stage for space rendezvous is discussed. Two-impulse rendezvous is solved by analyzing Gauss problem. Based on Battin-Vaughan algorithm, ergodic calculation is performed for different combination of initial position and transfer time. To carry out the mission planning for...
Combined economic emission dispatch (CEED) involves the simultaneous optimization of fuel cost and emission objectives which are conflicting ones. The bi-objective CEED problem is converted into a single optimization problem by introducing price penalty factor (PPF). A new approach to the reserve constrained CEED based on shuffled frog leaping algorithm (SFLA) is proposed. The algorithm approaches...
Energy-efficient and time-efficient reconfiguration strategies for formation flying of autonomous agents are presented. It is assumed that a finite set of possible formations is given, and that the probability of each formation in this set is known a priori. The idea is to move the agents to floating stations in the idle time, i.e. the time between the accomplishment of the last reconfiguration task...
Source term evaluation for a typical MTR type system has been carried out. For this purpose, a Matlab based program has been developed which used the Origen-2 code as a subprogram. The isotope inventory of the core of a typical MTR system has been done following a 180 days of full-power operation. The case of flow blockage accident with instantaneous release of radioactivity to containment air has...
The advent of highly accurate, large scale volumetric simulations has made data analysis and visualization techniques an integral part of the modern scientific process. To develop new insights from raw data, scientists need the ability to define features of interest in a flexible manner and to understand how changes in the feature definition impact the subsequent analysis of the data. Therefore, simply...
In the first instalment of this paper, a Newton-like extremum-seeking (ES) scheme was developed for application to problems involving optimisation of plants for which the curvature of input-output relationship is operating condition dependent. Strong operating condition dependence of the plant map curvature can be seen, for example, when using a phaseshift controller to reduce the limit-cycle pressure...
This paper discusses the limitation of existing methods of reducing the traffic congestion, where width wise expansion of roadways has got limitations, which leads a solution of vertical expansion only. In considering this aspect, an approach for Multi Layer Superway is suggested in a very comprehensive manner to overcome the problem in the present situation. Multi Layer Superway is the concept in...
PROMETHEE and GAIA are multicriteria decision aid methods belonging to the family of outranking methods. PROMETHEE is prescriptive: it provides the decision-maker with rankings of a set of alternative decisions evaluated on several often conflicting criteria. GAIA is descriptive: it uncovers important features of the decision problem and assists the decision-maker in eliciting preferences and finalizing...
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