Task assignment in ground-to-air confrontation based on multiagent deep reinforcement learning

The scale of ground-to-air confrontation task assignments is large and needs to deal with many concurrent task assignments and random events.Aiming at the problems where existing task assignment methods are applied to ground-to-air confrontation,there is low efficiency in dealing with complex tasks,and there are interactive conflicts in multiagent systems.This study proposes a multiagent architecture based on a one-general agent with multiple narrow agents(OGMN)to reduce task assignment conflicts.Considering the slow speed of traditional dynamic task assignment algorithms,this paper proposes the proximal policy optimization for task assignment of general and narrow agents(PPOTAGNA)algorithm.The algorithm based on the idea of the optimal assignment strategy algorithm and combined with the training framework of deep reinforcement learning(DRL)adds a multihead attention mechanism and a stage reward mechanism to the bilateral band clipping PPO algorithm to solve the problem of low training efficiency.Finally,simulation experiments are carried out in the digital battlefield.The multiagent architecture based on OGMN combined with the PPO-TAGNA algorithm can obtain higher rewards faster and has a higher win ratio.By analyzing agent behavior,the efficiency,superiority and rationality of resource utilization of this method are verified.

GeoNER:Geological Named Entity Recognition with Enriched Domain Pre-Training Model and Adversarial Training

As important geological data,a geological report contains rich expert and geological knowledge,but the challenge facing current research into geological knowledge extraction and mining is how to render accurate understanding of geological reports guided by domain knowledge.While generic named entity recognition models/tools can be utilized for the processing of geoscience reports/documents,their effectiveness is hampered by a dearth of domain-specific knowledge,which in turn leads to a pronounced decline in recognition accuracy.This study summarizes six types of typical geological entities,with reference to the ontological system of geological domains and builds a high quality corpus for the task of geological named entity recognition(GNER).In addition,Geo Wo BERT-adv BGP(Geological Word-base BERTadversarial training Bi-directional Long Short-Term Memory Global Pointer)is proposed to address the issues of ambiguity,diversity and nested entities for the geological entities.The model first uses the fine-tuned word granularitybased pre-training model Geo Wo BERT(Geological Word-base BERT)and combines the text features that are extracted using the Bi LSTM(Bi-directional Long Short-Term Memory),followed by an adversarial training algorithm to improve the robustness of the model and enhance its resistance to interference,the decoding finally being performed using a global association pointer algorithm.The experimental results show that the proposed model for the constructed dataset achieves high performance and is capable of mining the rich geological information.

Data augmentation method for insulators based on Cycle-GAN

Data augmentation is an important task of using existing data to expand data sets.Using generative countermeasure network technology to realize data augmentation has the advantages of high-quality generated samples,simple training,and fewer restrictions on the number of generated samples.However,in the field of transmission line insulator images,the freely synthesized samples are prone to produce fuzzy backgrounds and disordered samples of the main insulator features.To solve the above problems,this paper uses the cycle generative adversarial network(Cycle-GAN)used for domain conversion in the generation countermeasure network as the initial framework and uses the self-attention mechanism and channel attention mechanism to assist the conversion to realize the mutual conversion of different insulator samples.The attention module with prior knowledge is used to build the generation countermeasure network,and the generative adversarial network(GAN)model with local controllable generation is built to realize the directional generation of insulator belt defect samples.The experimental results show that the samples obtained by this method are improved in a number of quality indicators,and the quality effect of the samples obtained is excellent,which has a reference value for the data expansion of insulator images.

Research on virtual entity decision model for LVC tactical confrontation of army units

According to the requirements of the live-virtual-constructive(LVC)tactical confrontation(TC)on the virtual entity(VE)decision model of graded combat capability,diversified actions,real-time decision-making,and generalization for the enemy,the confrontation process is modeled as a zero-sum stochastic game(ZSG).By introducing the theory of dynamic relative power potential field,the problem of reward sparsity in the model can be solved.By reward shaping,the problem of credit assignment between agents can be solved.Based on the idea of meta-learning,an extensible multi-agent deep reinforcement learning(EMADRL)framework and solving method is proposed to improve the effectiveness and efficiency of model solving.Experiments show that the model meets the requirements well and the algorithm learning efficiency is high.

From Innocence to Suffering to Awareness:Nada Confrontation in Francis Macomber

The Short Happy Life of Francis Macomber is a quintessential Hemingway tale of one man's attempt to overcome an in ternal struggle by mastering the external world. Francis Macomber discovers his own bravery and strength when he ignores his self-consciousness and relies on instinct. This essay will examine Hemingway's code and how it confronts nada thus analyze Macomber's change from innocent to suffering to aware.

On the Confrontation Between Masculinism and Feminism in The Great Gatsby

In The Great Gatsby, Fitzgerald depicts the conflicts and contradictions between men and women about society, family, love, and money, literally mirroring the patriarchal society constantly challenged by feminism in the 1920s of America. This paper intends to compare the features of masculinism and feminism in three aspects： gender, society, and morality. Different identifications of gender role between men and women lead to female protests against male superiority and pursuits of individual liberation. Meanwhile, male unshaken egotism and gradually expanded individualism of women enable them both in lack of sound moral standards. But compared with the female, male moral pride drives them with much more proper moral judge, which reflects Fitzgerald＇s support of the masculine society. Probing into the confrontation between masculinism and feminism, it is beneficial for further study on how to achieve equal coexistence and harmony between men and women.

Tensor-Centric Warfare V: Topology of Systems Confrontation

In this paper, as a new contribution to the tensor-centric warfare (TCW) series [1] [2] [3] [4], we extend the kinetic TCW-framework to include non-kinetic effects, by addressing a general systems confrontation [5], which is waged not only in the traditional physical Air-Land-Sea domains, but also simultaneously across multiple non-physical domains, including cyberspace and social networks. Upon this basis, this paper attempts to address a more general analytical scenario using rigorous topological methods to introduce a two-level topological representation of modern armed conflict;in doing so, it extends from the traditional red-blue model of conflict to a red-blue-green model, where green represents various neutral elements as active factions;indeed, green can effectively decide the outcomes from red-blue conflict. System confrontations at various stages of the scenario will be defined by the non-equilibrium phase transitions which are superficially characterized by sudden entropy growth. These will be shown to have the underlying topology changes of the systems-battlespace. The two-level topological analysis of the systems-battlespace is utilized to address the question of topology changes in the combined battlespace. Once an intuitive analysis of the combined battlespace topology is performed, a rigorous topological analysis follows using (co)homological invariants of the combined systems-battlespace manifold.

Research on Cyberspace Attack and Defense Confrontation Technology

This paper analyzes the characteristics of Interact space and confrontation, discussed on the main technology of network space attack and defense confrontation. The paper presents the realization scheme of network space attack defense confrontation system, and analyzes its feasibility. The technology and the system can provide technical support for the system in the network space of our country development, and safeguard security of network space in China, promote the development of the network space security industry of China, it plays an important role and significance to speed up China＇ s independent controllable security products development.

Cooperative Decision-Making for Multiple UAVs Autonomous Confrontation

This paper presents a rule-based framework for addressing decision-making problems within the context of the\UI-STRIVE"Competition.First,two distinct autonomous confrontation scenarios are described:autonomous air combat and cooperative interception.Second,a State-Event-Condition-Action(SECA)decision-making framework is developed,which integrates thefinite state machine and event-condition-action frameworks.This framework provides three products to describe rules,i.e.the SECA model,the SECA state chart,and the SECA rule description.Third,the situation assessment and target assignment during autonomous air combat are investigated,and the mathematical models are established.Finally,the decisionmaking model's rationality and feasibility are verified through data simulation and analysis.

Screening of Antagonistic Actinomyces against Soft Rot of Amorphophallus konjac and Its Antibacterial Activity

[Objective] Antagonistic actinomyces of Amorphophallus konjac soft rot were isolated from the soil,the antibacterial activity of the fermentation was detected,and its active components were separated.[Method] The antagonistic actinomycetes were screened using plate confrontation culture method.The SJK18 antagonistic strain with strong activity was conducted single-factor tests using different carbon sources,nitrogen sources,temperatures and pH value as the culture condition,and the antibacterial activities of fermentation liquid was determined,respectively.The fermentation liquid of antagonistic strain was extracted with alcohol and acetic ester,and their antibacterial activities were determined.[Result] A total of 112 strains of actinomycetes were obtained,and 11 strains had antibacterial activity.The antibacterial activity of SJK18 strain was the strongest in the single-factor test,when the corn powder was adopted as the carbon sources,KNO3 was the nitrogen source,the temperature was 30 ℃ and the pH was 6.0,the appropriate pH value for the activity was 5.5-10.0.The diameters of inhibition zone of alcohol extract and raffinate of ethyl acetate were 17.0 and 20.0 mm,respectively,while the extraction of ethyl acetate had no antibacterial activity.[Conclusion] A strain of actinomyces with strong antibacterial activity against soft rot of A.konjac was obtained.

An Analysis of Voidance of Policy Under Game Theory

The direct cause for the voidance of economic policy is that the government has ignored the game behavior of the microeconomy.Only if we formulate and implement policy strictly according to the game rules can it be promoted to realize its desired objective.

Design and Implementation of Distributed Self-Election Dynamic Array Honeypot System

Traditional honeypot is in fact a "passive proactive" defense mechanism because it may lose the value entirely once the adversary has detected the existence of the static trap and bypassed it.Our work focuses on a Self-Election dynamic honeypot framework which aims to bewilder attackers by coordinating and switching roles periodically to form a huge dynamic puzzle.In this paper,we discuss the UDP Spokesman synchronization scheme and the Self-Election coordination method,perform the framework simulation of the dynamic array honeypot with NS2,carry out the prototype implementation by Java,and then validate the effectiveness and feasibility on the simulation and prototype system.The promising results of applying this framework to mitigate the effects of attacks are shown and analyzed.Our work demonstrates that the Self-Election dynamic array honeypot system is feasible and effective for proactive network confrontation.

Calculation of the Behavior Utility of a Network System： Conception and Principle

The service and application of a network is a behavioral process that is oriented toward its operations and tasks, whose metrics and evaluation are still somewhat of a rough comparison, This paper describes sce- nes of network behavior as differential manifolds, Using the homeomorphic transformation of smooth differential manifolds, we provide a mathematical definition of network behavior and propose a mathe- matical description of the network behavior path and behavior utility, Based on the principle of differen- tial geometry, this paper puts forward the function of network behavior and a calculation method to determine behavior utility, and establishes the calculation principle of network behavior utility, We also provide a calculation framework for assessment of the network＇s attack-defense confrontation on the strength of behavior utility, Therefore, this paper establishes a mathematical foundation for the objective measurement and precise evaluation of network behavior,

Management of Water Resources in a Hyper-Arid Area: Strategy and Issues (Case of Oued-Souf Valley-South Eastern of Algeria)

Rising Groundwater in Oued-Souf valley is result to errors committed by human in their interventions on the ecosystems and the mismanagement of this resource, witch principally marked in overexploitation of depth groundwater and the used sewerage system, leading the region to a truly dramatic and almost desperate, palms were turned into sort of marshes, where reeds take the place of dead palm trees. This situation lead us to search a model of water resources management, according to sustainability criteria taking into account the socio-economic (social, agricultural, industrial, tourism ) and ecosystem aspects (environmental and territorial). This by adapting and implementing the Integrated Management of Water Resources (IMWR) in this unit of water resources, so as to guide and mobilize progressively human, informational, financial and material resources, as well as the various sectors private and public to research concrete and measurable results, for water and ecosystems those are associated and that people wanted to see protected and restored.

Motivations,enablers and barriers to the adoption of climate-smart agricultural practices by smallholder farmers:Evidence from the transitional and savannah agroecological zones of Ghana

This paper examined the prioritized climate-smart agricultural practices by smallholder farmers,the motivations of adopting climate-smart agricultural practices,the enablers to the successful adoption of climate-smart agricultural practices,and the barriers to the successful adoption of climate-smart agricultural practices in the transitional and savannah agroecological zones of Ghana.Specifically,we employed ethnographic research using participatory approaches,including two stakeholder workshops and household surveys with 1061 households in the transitional and savannah agroecological zones of Ghana.The weighted average index(WAI)and problem confrontation index(PCI)were used to rank smallholder farmers’perceived enablers to the adoption of climate-smart agricultural practices and the barriers affecting climate-smart agricultural practices,respectively.Results suggest that the majority of the respondents used a suite of climate-smart agricultural practices,including the timely harvesting of produce and storage,emergency seed banking,appropriate and timely weed and pest control,and early planting as practices to build climate resilience.The majority of smallholder farmers primarily employed climate-smart agricultural practices to improve household food security(96.2%),reduce pests and diseases(95.6%),and obtain higher yields and greater farm income(93.2%).Findings also show that secured land tenure system arrangement,understanding the effects of climate change,and access to sustainable agricultural technologies were ranked the first,second,and third most important enablers to the adoption of climate-smart agricultural practices with the WAI values of 2.86,2.75,and 2.70,respectively.Key barriers to the successful adoption of climate-smart agricultural practices included incidences of pests and diseases(PCI=2530),inadequate access to agricultural credit(PCI=2502),high cost of improved crop varieties(PCI=2334),and limited government support with farm inputs(PCI=2296).Smallholder farmers need to be better supported through the provision of appropriate institutional and policy arrangements together with improved land management extension advice to overcome these barriers and facilitate the more effective implementation of climate-smart agricultural practices in Ghana.

Study on Wide Antifungal Property of Bacillus subtilis HAS

Bacillus subtilis HAS is a biocontrol strain with better inhibitory effect on Sporisorium scitaminea Sydow. In order to further understand its action range,with fungal pathogens in sugarcane production as targets,confrontation tests and tests of inhibitory effect of secondary metabolites on growth of pathogens were carried out. The results showed that B. subtilis HAS not only had better inhibitory effect on S. Scitaminea,but also inhibited the growth of various fungal pathogens in sugarcane production. The inhibitory effect was the best on Ceratocystis adiposum,Thielaviopsis paradoxa,Fusarium moniliforme and Colletotrichum fuleatum,which was reflected by the radius of inhibitory zone over 10 mm. The inhibitory rates of the secondary metabolites were about 70%. It indicates that B. subtilis HAS has wide antifungal property,providing reference for further application of this strain.

Cultural Disjunction in B. Mukherjee＇s Wife

After experiencing racism in Canada, where multiculturalism emphasized ethnic differences and fixed identities rather than allowing for cultural interaction and hybridity, the author, B. Mukherjee, moves to the USA whose biculturalism favors cultural interactions and fluid identities. Here she experiences the transformative powers of cultural interactions and frees herself and her work from the static power of cultural disjunction. Her personal experience highlights the need of immigrant characters to connect to the mainstream and not to be isolated from it The paper explores the problem of cultural adaptability and integration as experienced by Dimple, the main character in Mukherjee＇s novel Wife （1975）. Based upon contemporary research on cultural and social identity formation, the paper analyses Dimple＇s inner struggle of identity in the context of her immigrant status, and it relates her ultimately tragic response to loneliness and alienation resulting in cultural disjunction, non-adaptability, and non-assimilation.

Confronting Inequity in Nigerian Social Milieu： Apprehending Class Stratification in Festus Iyayi＇s Violence

This paper is preoccupied with the delineation of the dialectic of poverty and wealth in Festus Iyayi＇s Violence. The unbridled struggle between the bourgeois and the proletariat in the novel constitutes the onus of the dialectical materialism which underlies an axiomatic focus of societal superstructure. An application of Kenneth Boulding＇s theory of protest to the Nigerian social milieu, poignantly reveals that there is a potent foregrounding of the class stratification between the rich and the poor. The paper will further examine how this dichotomy between the highly placed and the down trodden in the novel has graphically accentuated the poverty index in contemporary Nigeria.