Shore-Based Air-Defence Unit Shooting Mode Optimization Model Research

2014 ◽  
Vol 543-547 ◽  
pp. 1786-1789
Author(s):  
Da Wei Yang ◽  
Jian Chong Chu ◽  
Zi Ming Wang ◽  
Wei Bo Li

This paper analyzes the relationship between firing way and firing command way. Using the theory of probability and air defense combat strategy, it describes the concept, characteristics, and its mutual relations between concentration, dispersion, and mixing command in shooting mode, analyzes the influence of different ways of command on group firing efficiency.

2020 ◽  
Vol 54 (4) ◽  
pp. 403-431
Author(s):  
Bulat R. Rakhimzianov

Abstract This article explores relations between Muscovy and the so-called Later Golden Horde successor states that existed during the fifteenth and sixteenth centuries on the territory of Desht-i Qipchaq (the Qipchaq Steppe, a part of the East European steppe bounded roughly by the Oskol and Tobol rivers, the steppe-forest line, and the Caspian and Aral Seas). As a part of, and later a successor to, the Juchid ulus (also known as the Golden Horde), Muscovy adopted a number of its political and social institutions. The most crucial events in the almost six-century-long history of relations between Muscovy and the Tatars (13–18th centuries) were the Mongol invasion of the Northern, Eastern and parts of the Southern Rus’ principalities between 1237 and 1241, and the Muscovite annexation of the Kazan and Astrakhan khanates between 1552 and 1556. According to the model proposed here, the Tatars began as the dominant partner in these mutual relations; however, from the beginning of the seventeenth century this role was gradually inverted. Indicators of a change in the relationship between the Muscovite grand principality and the Golden Horde can be found in the diplomatic contacts between Muscovy and the Tatar khanates. The main goal of the article is to reveal the changing position of Muscovy within the system of the Later Golden Horde successor states. An additional goal is to revisit the role of the Tatar khanates in the political history of Central Eurasia in the fifteenth and sixteenth centuries.


2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Qingyou Yan ◽  
Qian Zhang ◽  
Xin Zou

The study of traditional resource leveling problem aims at minimizing the resource usage fluctuations and obtaining sustainable resource supplement, which is accomplished by adjusting noncritical activities within their start and finish time. However, there exist limitations in terms of the traditional resource leveling problem based on the fixed project duration. This paper assumes that the duration can be changed in a certain range and then analyzes the relationship between the scarce resource usage fluctuations and project cost. This paper proposes an optimization model for the multiresource leveling problem. We take into consideration five kinds of cost: the extra hire cost when the resource demand is greater than the resource available amount, the idle cost of resource when the resource available amount is greater than the resource demand, the indirect cost related to the duration, the liquidated damages when the project duration is extended, and the incentive fee when the project duration is reduced. The optimal objective of this model is to minimize the sum of the aforementioned five kinds of cost. Finally, a case study is examined to highlight the characteristic of the proposed model at the end of this paper.


2019 ◽  
Vol 12 ◽  
pp. 194008291984975
Author(s):  
Xianhua Wu ◽  
Yanli Cao ◽  
Ge Gao ◽  
Yi Zou ◽  
Ji Guo

Clarifying the relationship between public cognition and satisfaction with meteorological service is an important way to adapt to and mitigate climate change. This article first proposes an innovative concept on public meteorological cognition. Also, based on the survey data from 3,029 questionnaires on public cognition of meteorological disasters in Shenzhen city of China, the relationship among public cognition, perceived value, and meteorological service satisfaction is evaluated using a structural equation model. Research results demonstrate that (a) public cognition can significantly affect service satisfaction. (b) Shenzhen residents are generally satisfied with meteorological service, particularly during the typhoon season. However, the residents are dissatisfied with the availability of information on meteorological disaster warnings. (c) Both public meteorological cognition and perceived value of meteorological service significantly affect public satisfaction. (d) The public meteorological cognition can be improved by increasing the perceived value of meteorological service, which further enhances public satisfaction.


2013 ◽  
Vol 330 ◽  
pp. 826-829
Author(s):  
Jian Feng Meng ◽  
Bai Tao Feng ◽  
Yu Ping Dong

Biomass is a renewable energy. Its curing and molding technology is one of the key technologies and mould structure is a important factor. A model is set based on ANSYS to simulate the molding, and using curve fitting, the relationship between maximum equivalent stress and mould parameter is founded. Then the optimization model is set and mould parameter is optimized.


2020 ◽  
Vol 14 (1) ◽  
pp. 46-52
Author(s):  
Oksana I. Bibik ◽  
Ivan A. Arkhipov ◽  
Lyubov V. Nacheva ◽  
Miсhail S. Boborykin

The purpose of the research is studying microstructural changes in the process of adaptation of components during the formation of the “parasite–host” system by the example of Paramphistomum cervi (Zeder, 1790) parasitizing in the small intestine of spontaneously infected sheep. Materials and methods. Peculiarities of changes in the microstructure of the small intestine in the “parasite–host” system were studied using parasitization of P. cervi in the intestines of sheep using well-known histological methods. Pieces of tissue of the small intestine of sheep with P. cervi, after being preserved in 70% alcohol, were processed according to the generally accepted histological procedure and embedded in paraffin. Sections 5–7 μm in thickness were stained with histological stains and examined under a light microscope. Results and discussion. Microstructural analysis of the characteristics of the relationship in the "parasite–host" system showed that the mucous membrane of the small intestine of sheep in the presence of P. cervi looks sharply thickened. Swelling of the epithelium of villi and crypts, its vacuolization and albuminoid degeneration were found. In some places, proliferation of the epithelial layer of the mucous membrane was detected, due to which epithelial hyperplasia is observed, in some cases turning into metaplasia. Proliferation and hyperplasia (metaplasia) in the endostation of the host in the presence of the parasite contribute to: 1. stability of the parasite-host system and the participation of trematodes in trophism; 2. determination of the clinical and morphological picture of trematodose; 3. predicting the effects of this pathology on the host. Adhesion in the microstructural complex “trematode tegument – epithelial tissue of the villi of the small intestine” in ovine paramphistomosis at the contact level of two glycocalyx layers – the tegument of P. cervi and the surface of the epithelial cells of the villi of the host’s intestine, as well as single histological staining of the sites of contact between the parasite and the host as a result of mixing the components of the trematode tegument and the tissue of the host’s small intestine with deep adhesion indicate the established mutual relations between the components of a single system "parasite–host".


Author(s):  
David Bergman ◽  
Teng Huang ◽  
Philip Brooks ◽  
Andrea Lodi ◽  
Arvind U. Raghunathan

Business research practice is witnessing a surge in the integration of predictive modeling and prescriptive analysis. We describe a modeling framework JANOS that seamlessly integrates the two streams of analytics, allowing researchers and practitioners to embed machine learning models in an end-to-end optimization framework. JANOS allows for specifying a prescriptive model using standard optimization modeling elements such as constraints and variables. The key novelty lies in providing modeling constructs that enable the specification of commonly used predictive models within an optimization model, have the features of the predictive model as variables in the optimization model, and incorporate the output of the predictive models as part of the objective. The framework considers two sets of decision variables: regular and predicted. The relationship between the regular and the predicted variables is specified by the user as pretrained predictive models. JANOS currently supports linear regression, logistic regression, and neural network with rectified linear activation functions. In this paper, we demonstrate the flexibility of the framework through an example on scholarship allocation in a student enrollment problem and provide a numeric performance evaluation. Summary of Contribution. This paper describes a new software tool, JANOS, that integrates predictive modeling and discrete optimization to assist decision making. Specifically, the proposed solver takes as input user-specified pretrained predictive models and formulates optimization models directly over those predictive models by embedding them within an optimization model through linear transformations.


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