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Dynamic waveform selection for manoeuvering target tracking in clutter

IET RADAR SONAR AND NAVIGATION 2013年第7期7卷 815-825页

作者： Wang, Jiantao Qin, Yuliang Wang, Hongqiang Li, Xiang Natl Univ Def Technol Coll Elect Sci & Engn Changsha 410073 Hunan Peoples R China

In recent years, cognitive radar (CR) with waveform diversity has exhibited significant performance improvements over the traditional fixed waveform radar and become an area of vigorous research and development. This study presents a dynamic waveform selection algorithm to strive for tracking error minimisation for CR manoeuvering target tracking in clutter. Based on the concepts of resolution cell and measurement extraction cell, the statistical characteristics of radar measurements are discussed without dependence upon the Cramer-Rao lower bound of the measurement errors and the high signal-to-noise ratio assumption. A particle filter combined with probabilistic data association is used as a tracker. To quantify the utility of available waveforms, the predicted tracking mean-square error, because of its dependence on actual future measurements, is approximated efficiently via Gaussian fitting of the prior density of the target state and statistical linearisation of the measurement equation. Monte Carlo simulation results show that the proposed dynamic waveform selection algorithm can improve tracking performance considerably, especially in terms of track loss probability.

关键词： waveforms waveform diversity Error measure Target tracking Radar measurement selection algorithm clutter data association resolution cell Particle filters

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A Proposed Method for Multi-Criteria Group Decision Making: An Application to Site selection

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APPLIED ARTIFICIAL INTELLIGENCE 2021年第7期35卷 505-519页

作者： Radwan, Nouran M. Elstohy, Rasha Hanna, Wael K. Sadat Acad Management Sci Comp & Informat Syst Dept Cairo Egypt Obour Inst Informat Syst Dept Cairo Egypt

In the real world, decision-making process is related to alternative evaluation with respect to multiple conflicting criteria. In this paper, a hybrid group approach to solve the site selection problem is developed by integrating two methods which are the Best Worst Method (BWM) and Evaluation based on Distance from Average (EDAS). The multi-criteria group decision-making methods aggregate expert preferences and present the best agreement. BWM method is used to do pairwise comparisons in a structured way to determine the criteria weight. EDAS is a method used for alternative ranking which is useful for the decision issues that contain conflicting criteria. In order to show the procedures and the application of the developed method, a case study for site selection of plastic manufacturing company is developed. A comparison made between the proposed method and the AHP method is developed to ensure that the proposed method offers reliable results. Also, sensitivity analysis is conveyed for robustness validation.

关键词： Decision-making Site selection selection algorithm Best worst method

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Monotonicity of the χ2 -statistic and Feature selection

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Annals of Data Science 2022年第6期9卷 1223-1241页

作者： Kamalov, Firuz Leung, Ho Hon Moussa, Sherif Canadian University Dubai Dubai United Arab Emirates UAE University Al Ain United Arab Emirates

Feature selection is an important preprocessing step in analyzing large scale data. In this paper, we prove the monotonicity property of the χ2-statistic and use it to construct a more robust feature selection method. In particular, we show that χY,X12≤χY,(X1,X2)2. This result indicates that a new feature should be added to an existing feature set only if it increases the χ2-statistic beyond a certain threshold. Our stepwise feature selection algorithm significantly reduces the number of features considered at each stage making it more efficient than other similar methods. In addition, the selection process has a natural stopping point thus eliminating the need for user input. Numerical experiments confirm that the proposed algorithm can significantly reduce the number of features required for classification and improve classifier accuracy. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Feature selection χ2-statistic Machine learning Big data Statistic Monotonic function Feature selection Classification selection algorithm

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Energy-aware secondary user selection in cognitive sensor networks

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IET WIRELESS SENSOR SYSTEMS 2014年第2期4卷 86-96页

作者： Zahmati, Amir Sepasi Fernando, Xavier Grami, Ali Ryerson Univ Dept Elect & Comp Engn Toronto ON M5B 2K3 Canada Univ Ontario Fac Engn & Appl Sci Inst Technol Oshawa ON L1H 7K4 Canada

In cognitive radio, accurate spectrum sensing is essential to optimally use the available spectrum opportunities. On the other hand, energy is a scarce resource especially in cognitive sensor networks. In this study, the authors combine both these conflicting requirements and propose an energy-aware secondary user selection algorithm for cognitive sensor networks. First, an optimisation problem is solved to obtain the minimum required number of cognitive users, whereas satisfying the system requirements. Second, the most eligible cognitive users are identified through a probability-based approach. They study two extreme cases by focusing on either energy or accuracy parameters. By numerical analysis, it is shown that the accuracy benchmark is increased by as much as 39% by only considering the sensing accuracy, and the energy benchmark is reduced by as low as 76% by only considering the remaining level of energy. In addition, they conduct computer simulation and compare the network's lifetime at several sensing accuracy thresholds. It is elaborated that greater sensing accuracy thresholds lead to longer network lifetime. Finally, the effects of several fusion rules on the proposed method are studied through simulation and numerical analyses. It is discussed that the Majority rule has the best performance among the examined rules.

关键词： system requirements Sensor networks Numerical Analysis Energy sources optimum performance extreme case selection algorithm

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Using farmland prices to evaluate cost-efficiency of national versus regional reserve selection in Denmark

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BIOLOGICAL CONSERVATION 2006年第4期128卷 455-466页

作者： Strange, N Rahbek, C Jepsen, JK Lund, MP Royal Vet & Agr Univ Dept Econ Policy & Planning DK-1958 Frederiksberg Denmark

The current study focuses on the influence of geopolitical coordination of conservation strategies on cost and efficiency in terms of species representation when selecting network of protected areas. Conservation policies in the EU are implemented at many different administrative levels: from the European Union and national levels, to regional or/county levels within member countries. This arise the question what size of efficiency gains could be achieved if planning of conservation priorities could be coordinated between geopolitical units. Using data for the nationwide distribution of 763 species, representing all Danish species within eight taxa, we compared illustrative costs for the addition of new areas to the existing conservation network in order to ensure full coverage of all species. We found that the cost of independent regional planning is 20-fold higher than an inter-regional and nationally co-ordinated strategy. we also found that substituting land prices for a simple land-area measure in our analyses increased the expected conservation costs differential significantly, without increasing coverage of species representations. We suggest that in economic and biodiversity terms it can largely be a win-win situation to set a common goal, to develop priority-strategies, and to coordinate actions at higher rather than lower levels of administration. (c) 2005 Elsevier Ltd. All rights reserved.

关键词： nature conservation regional vs. national strategies priorities selection algorithm efficiency conservation cost Denmark

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algorithmic Patient selection for Minimally Invasive Versus Open Lumbar Interbody Fusion Surgery

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NEUROSURGERY CLINICS OF NORTH AMERICA 2023年第4期34卷 599-607页

作者： Goldberg, Jacob L. Hussain, Ibrahim Fu, Kai-Ming Virk, Michael S. New York Presbyterian Hosp Dept Nerosurg Weill Cornell Med Ctr 525 E 68th StBox 99 New York NY 10065 USA

Evidenced-based data-driven decision-making algorithms guide patient and approach selection for adultspinal deformitysurgery. algorithms are continually refined as surgical goals and intraoperative technology evolve.

关键词： Minimally invasive spine surgery Spine deformity selection algorithm

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Flexibility and the use of indicator taxa in the selection of sites for nature reserves

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BIODIVERSITY AND CONSERVATION 2001年第2期10卷 271-285页

作者： Hopkinson, P Travis, JMJ Evans, J Gregory, RD Telfer, MG Williams, PH Univ London Imperial Coll Sci Technol & Med NERC Ctr Populat Biol Ascot SL5 7PY Berks England NERC Ctr Ecol & Hydrol Biol Records Ctr Huntingdon PE17 2LS England Univ London Imperial Coll Sci Technol & Med Dept Biol Ascot SL5 7PY Berks England

'Minimum' sets of complementary areas represent all species in a region a given number of times. In recent years, conservation assessments have centred around the the evaluation of these 'minimum' sets. Previous research shows little overlap between minimum' sets and existing nature reserves and between 'minimum' sets Cur different taxonomic groups. The latter has been used as an argument to discount the use of indicator taxa in the selection of sites for nature reserves. However, these 'minimum' set analyses have only considered a single set for each taxonomic group when there are, in fact. a large number of equally valid 'minimum' sets. We present new methods for evaluating all of these alternative 'minimum' sets. Wt demonstrate that if all of the sets are evaluated, significantly higher levels of overlap are found between 'minimum' sets and nature reserves, and pairs of 'minimum' sets for different taxonomic groups. Furthermore, significantly higher proportions of species from non-target taxonomic groups are recorded in the 'minimum' sets of target Stoups Our results suggest that previous conservation assessments using 'minimum' sets may have been unduly pessimistic.

关键词： biodiversity near-minimum sets priorities protected areas selection algorithm

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Automated Launch Period selection

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JOURNAL OF SPACECRAFT AND ROCKETS 2022年第5期59卷 1795-1799页

作者： Jesick, Mark CALTECH Jet Prop Lab Inner Planet Mission Anal Grp 4800 Oak Grove Dr Pasadena CA 91109 USA

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A Trade-off Environment to Support Tabletop Exercises for the selection of Cislunar Architectures

A Trade-off Environment to Support Tabletop Exercises for th...

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AIAA SciTech Forum

作者： Introne, Stephanie Hawkins, Jacob Balchanos, Michael Mavris, Dimitri Georgia Inst Technol Sch Aerosp Engn Atlanta GA 30332 USA

ISBN: (数字)9781624107115

ISBN: (纸本)9781624107115

Developing cislunar architectures involves the consideration of many components, and evaluating these architectures requires the consideration of many varied perspectives. The process for making space exploration decisions has become increasingly complicated as interactions amongst participants have become both more impactful and more fraught. There are many additional considerations when conducting this type of analysis, including the context in which the architecture would be operating or the impact of the many assumptions that need to be made. One way to begin to tackle decision-making processes for cislunar architectures is through the development of a tabletop exercise that allows users to see how choices impact the resultant campaign scheduling in real-time, rather than the typical timelines of weeks to months for additional analysis. A tabletop environment brings stakeholder prioritization and interaction to schedule optimization, and contextualizes the decision-making through the use of scenarios. This tabletop tool enables users to compare architectures more quickly than through traditional methods, which could lead to more interactive studies, where different stakeholders are able to participate since new analyses can be run in real-time, or the exploration of more unconventional architectures since there is not the same level of investment needed to obtain results.

关键词： Deep Space Exploration NASA Lunar Exploration Near Rectilinear Halo Orbit Super Heavy Lift Launch Vehicle Graphical User Interface Acquisition Costs Solar Power SpaceX selection algorithm

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Development of a Software Package for the Optimal selection of the Best Available Technologies 4

Development of a Software Package for the Optimal Selection ...

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4th International Conference on Information Technologies in Engineering Education (Inforino)

作者： Golovteeva, A. N. Sivakovskiy, A. M. Roslyakov, P. V. Natl Res Univ MPEI Moscow Russia

ISBN: (纸本)9781538658321

The development of modern energy is impossible without an effective solution of environmental problems and thermal power plants must meet stringent requirements to limit environmental pollution. In this paper, we describe the development of a software package that implements the calculation of pollutant of thermal power plants into the atmosphere with flue gases from boilers and an algorithm for selecting the best available technologies to ensure the required degree of their reduction. The main regulatory documents regulating the transition of the energy industry to the principles of BAT are given.

关键词： software package best available technologies calculation of emissions selection algorithm

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