scholarly journals Defense Strategy of Aircraft Confronted with IR Guided Missile

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Hesong Huang ◽  
Zhongxiang Tong ◽  
Taorui Li ◽  
Lintong Jia ◽  
Shenbo Li
Keyword(s):  
Exhaust System ◽  
Real Data ◽  
The State ◽  
Surface Type ◽  
Defense Strategy ◽  
Air Combat

Surface-type infrared (IR) decoy can simulate the IR characteristics of the target aircraft, which is one of the most effective equipment to confront IR guided missile. In the air combat, the IR guided missile poses a serious threat to the aircraft when it comes from the front of target aircraft. In this paper, firstly, the model of aircraft and surface-type IR decoy is established. To ensure their authenticity, the aircraft maneuver and radiation models based on real data of flight and exhaust system radiation in the state of different heights and different speeds are established. Secondly, the most effective avoidance maneuver is simulated when the missile comes from the front of the target aircraft. Lastly, combining maneuver with decoys, the best defense strategy is analysed when the missile comes from the front of aircraft. The result of simulation, which is authentic, is propitious to avoid the missile and improve the survivability of aircraft.

scholarly journals Methodology for the Evaluation of the Electrical Energy Potential of Residual Biomass from the Wood Industry: A Case Study in Brazil

2021 ◽  
Author(s):  
Augusto César de Mendonça Brasil
Keyword(s):  
Power Plants ◽  
Real Data ◽  
Electrical Energy ◽  
Plant Size ◽  
The State ◽  
Wood Industry ◽  
Energy Potential ◽  
Curve Fit ◽  
Wood Residues

This chapter presents in a consolidated manner the step-by-step methodology to estimate the electrical energy potential of industrial wood residues considering the dependency of the efficiency of the power plants with their size. A function of the overall efficiency with power was obtained from a best curve fit of real data both taken from the literature and from Brazilian biomass-fired power plants. The methodology was applied to the determination of the electrical energy potential of wood industry residues in the State of Pará (data collected in 2004). Two cases were analyzed: one where a constant electrical efficiency of 25% was considered (independently of the amount of residues generated) and another where the proposed function of efficiency with power was used. Results show that in the State of Pará, the existent 675 sawmills generated 2.95 × 106 t in dry basis. When the dependency of efficiency with plant size is not considered, the electrical energy potential and average installed power (3140.4 GWh and 2 MWe) are overestimated in comparison to the herein proposed methodology (1868.8 GWh and 1 MWe). The present methodology, considering the efficiency as a function of the power, results in an average efficiency of 12.3% (lower than 25%).

scholarly journals Analysis of Social and Health Reimbursements for Miners in Tems of the Decline of Mining Activity in the Czech Republic Funded from the State Budget/ Analýza Sociálně Zdravotních Náhrad Horníkům V Souvislosti S Útlumem Hornické Činnosti V Čr Financovaných Ze Státního Rozpočtu

2013 ◽  
Vol 59 (1) ◽  
pp. 21-29
Author(s):  
Jana Magnusková ◽  
Jana Bartoňová ◽  
Lucie Krčmarská ◽  
Dagmar Létavková
Keyword(s):  
Mining Industry ◽  
Health Benefit ◽  
Real Data ◽  
The State ◽  
Mining Activity ◽  
State Budget ◽  
The Czech Republic ◽  
The Given ◽  
Special Benefit ◽  
Special Health

Abstrakt The present article deals with the area of social and health welfare of former and current employees of the abolished, privatized or otherwise affected by reorganization mining enterprises in connection with the decline of uranium, ore and coal mining industry in the country. It describes a thorough analysis of the legislation governing the given area from the start of the decline in mining activity in 1990 to the present. Subsequently, relying on real data from practice, the article shows elaborated overviews of trends in the number of beneficiaries of all kinds of provided mandatory and decline-based social and health reimbursements in the years 2001-2012, including the total cost financed in a form of subsidies from the state budget. The forecast of trends of these monitored indicators, processed by the age of beneficiaries of compensations, type of work and other practice-verifiable data, suggests a sharp reduction in the number of recipients of mandatory compensations in the year 2015, the complete termination of payment of a special health benefit for miners by 2025, compensations of accidents at work, occupational diseases and allotments of coal and wood by the year 2035. The payment of the special benefit to miners, a claim for which occurred after 31 December 1992, will have finished by the year 2040.

scholarly journals Strategi Pertahanan Semesta: Memahami Green and Blue Belt Security dalam Konsep Ekonomi Konstitusi di Kawasan Perbatasan

2016 ◽  
Vol 1 (2) ◽  
pp. 01-12
Author(s):  
Syarifuddin Tippe
Keyword(s):  
State Government ◽  
Government Policy ◽  
The State ◽  
Border Region ◽  
Defense Strategy ◽  
State Defense

The concept of green and blue belt security in the framework of the concept of constitutional economy is derived from solving the root of the nation's problems with transdisciplinary methods. That is, this concept is understood as an integral part of the awareness efforts for the state organizers to consistently adhere to the ideological base of Pancasila in the nation and state. On that understanding, the understanding of the framework of the concept of constitutional economy must be put forward than the concept of green and blue belt security itself. Concretely, it must follow a comprehensive flow of understanding in accordance with the structure of the problem. The earliest is the understanding of root-breaking problems related to consistency with the ideological base of Pancasila (this has already been discussed); The next understanding of the "problem stem" is "state / government policy" which can be interpreted as the basis of work with the term "constitutional economy". While the understanding associated with kosep green and blue belt security is an understanding of "state defense strategy" in the border region.

scholarly journals Filtering with State-Observation Examples via Kernel Monte Carlo Filter

2016 ◽  
Vol 28 (2) ◽  
pp. 382-444 ◽  
Author(s):  
Motonobu Kanagawa ◽  
Yu Nishiyama ◽  
Arthur Gretton ◽  
Kenji Fukumizu
Keyword(s):  
Monte Carlo ◽  
Sample Size ◽  
State Space Model ◽  
Real Data ◽  
The State ◽  
Particle Methods ◽  
Effective Sample Size ◽  
Observation Model ◽  
State Variables ◽  
State Observation

This letter addresses the problem of filtering with a state-space model. Standard approaches for filtering assume that a probabilistic model for observations (i.e., the observation model) is given explicitly or at least parametrically. We consider a setting where this assumption is not satisfied; we assume that the knowledge of the observation model is provided only by examples of state-observation pairs. This setting is important and appears when state variables are defined as quantities that are very different from the observations. We propose kernel Monte Carlo filter, a novel filtering method that is focused on this setting. Our approach is based on the framework of kernel mean embeddings, which enables nonparametric posterior inference using the state-observation examples. The proposed method represents state distributions as weighted samples, propagates these samples by sampling, estimates the state posteriors by kernel Bayes’ rule, and resamples by kernel herding. In particular, the sampling and resampling procedures are novel in being expressed using kernel mean embeddings, so we theoretically analyze their behaviors. We reveal the following properties, which are similar to those of corresponding procedures in particle methods: the performance of sampling can degrade if the effective sample size of a weighted sample is small, and resampling improves the sampling performance by increasing the effective sample size. We first demonstrate these theoretical findings by synthetic experiments. Then we show the effectiveness of the proposed filter by artificial and real data experiments, which include vision-based mobile robot localization.

ALGORITHMS FOR MINIMAX STATE PREDICTION OF TECHNICAL SYSTEMS

2005 ◽  
Vol 12 (04) ◽  
pp. 355-363
Author(s):  
ANATOLY N. ROZENBAUM ◽  
ANDREY I. DESHNER
Keyword(s):  
Real Data ◽  
The State ◽  
Robust Algorithms ◽  
State Prediction ◽  
Technical Systems

A problem of individual prediction of the state of technical systems is considered, where an approach for solving the problem is based on construction of minimax robust algorithms applicable in case of incomplete and insufficient measurements. Suggested algorithms are tested with real data samples.

scholarly journals Rank Aggregation via Heterogeneous Thurstone Preference Models

2020 ◽  
Vol 34 (04) ◽  
pp. 4353-4360
Author(s):  
Tao Jin ◽  
Pan Xu ◽  
Quanquan Gu ◽  
Farzad Farnoud
Keyword(s):  
Gradient Descent ◽  
State Of The Art ◽  
Statistical Error ◽  
Real Data ◽  
The State ◽  
Rank Aggregation ◽  
Pairwise Comparisons ◽  
Single User ◽  
Preference Models ◽  
Item Scores

We propose the Heterogeneous Thurstone Model (HTM) for aggregating ranked data, which can take the accuracy levels of different users into account. By allowing different noise distributions, the proposed HTM model maintains the generality of Thurstone's original framework, and as such, also extends the Bradley-Terry-Luce (BTL) model for pairwise comparisons to heterogeneous populations of users. Under this framework, we also propose a rank aggregation algorithm based on alternating gradient descent to estimate the underlying item scores and accuracy levels of different users simultaneously from noisy pairwise comparisons. We theoretically prove that the proposed algorithm converges linearly up to a statistical error which matches that of the state-of-the-art method for the single-user BTL model. We evaluate the proposed HTM model and algorithm on both synthetic and real data, demonstrating that it outperforms existing methods.

Department of Defense Strategy to Support Multi-Agency Bat Conservation Initiative within the State of Utah

2008 ◽  
Author(s):  
Robert N. Knight ◽  
Lauren B. Wilson ◽  
Adam J. Kozlowski ◽  
Ben Sutter ◽  
Kimberly A. Hersey ◽  
...  
Keyword(s):  
Department Of Defense ◽  
The State ◽  
Defense Strategy ◽  
Bat Conservation

scholarly journals Sugarcane yield estimation for climatic conditions in the state of Goiás

Revista CERES ◽  
2017 ◽  
Vol 64 (3) ◽  
pp. 298-306 ◽  
Author(s):  
Jordana Moura Caetano ◽  
Derblai Casaroli
Keyword(s):  
Water Deficit ◽  
Productivity Loss ◽  
Real Data ◽  
Climatic Conditions ◽  
The State ◽  
Zone Method ◽  
Sugarcane Plant ◽  
Experimental Area ◽  
Sugarcane Yield ◽  
Ratoon Sugarcane

ABSTRACT Models that estimate potential and depleted crop yield according to climatic variable enable the crop planning and production quantification for a specific region. Therefore, the objective of this study was to compare methods to sugarcane yield estimates grown in the climatic condition in the central part of Goiás, Brazil. So, Agroecological Zone Method (ZAE) and the model proposed by Scarpari (S) were correlated with real data of sugarcane yield from an experimental area, located in Santo Antônio de Goiás, state of Goiás, Brazil. Data yield refer to the crops of 2008/2009 (sugarcane plant), 2009/2010, 2010/2011 and 2011/2012 (ratoon sugarcane). Yield rates were calculated as a function of atmospheric water demand and water deficit in the area under study. Real and estimated yields were adjusted in function of productivity loss due to cutting stage of sugarcane, using an average reduction in productivity observed in the experimental area and the average reduction in the state of Goiás. The results indicated that the ZAE method, considering the water deficit, displayed good yield estimates for cane-plant (d > 0.90). Water deficit decreased the yield rates (r = -0.8636; α = 0.05) while the thermal sum increased that rate for all evaluated harvests (r > 0.68; α = 0.05).

Anisotropic surface-wave characterization of granular media

Geophysics ◽  
2017 ◽  
Vol 82 (6) ◽  
pp. MR191-MR200 ◽  
Author(s):  
Edan Gofer ◽  
Ran Bachrach ◽  
Shmuel Marco
Keyword(s):  
Rayleigh Wave ◽  
Effective Stress ◽  
Granular Media ◽  
Elastic Moduli ◽  
Transverse Isotropy ◽  
Real Data ◽  
The State ◽  
Elastic Parameters ◽  
Data Set ◽  
State Of Stress

In unconsolidated granular media, the state of stress has a major effect on the elastic properties and wave velocities. Effective media modeling of granular packs shows that a vertically oriented uniaxial state of stress induces vertical transverse isotropy (VTI), characterized by five independent elastic parameters. The Rayleigh wave velocity is sensitive to four of these five VTI parameters. We have developed an anisotropic Rayleigh wave inversion that solves for four of the five independent VTI elastic parameters using anisotropic Thomson-Haskell matrix equations that can be used to determine the degree of anisotropy and the state of stress in granular media. The proposed method incorporates an initial model search guided by rock-physics models and dispersion curve inversion that uses a gradient-based solver. We carried out the inversion on a synthetic example and a real data set in which we inverted for in situ elastic moduli of unconsolidated sands at very low effective stress. The synthetic data example results showed that we are able to correctly estimate the granular media’s effective elastic moduli. When the inversion was carried out with real data, the results indicate that the sand at very low effective stress is elastically anisotropic and that it is stiffer along the vertical axis than the horizontal axis. Furthermore, our results are in agreement with past studies related to granular media.

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