Report title一：Privacy protection trust evaluation system based on reinforcement bet365 online sports betting mobile
Report bet365 online sports betting mobile：2023Year3month8Day Evening19:00—19:30
Reporting location: Tencent Conference859-366-512
ReportPeople：Ren Yingying
Report Summary:By dividing large-scale complex bet365 online sports betting mobile tasks into simple micro-tasks，Crowd bet365 online sports betting mobileThe bet365 online sports betting mobile becomes the Internet of Things (IoT) One of the data-bet365 online sports betting mobile applications in the networkvalidbet365 online sports betting mobile。Artificial intelligence technology has been widely used in IoT securityCrowd bet365 online sports betting mobileApply. However, several questions remainUrgent need for research。In bet365 online sports betting mobileThere are malicious actors whose purpose is to gainImproper gains。The bet365 online sports betting mobile can effectively filter attackers。However，ExistingRecommendation-bet365 online sports betting mobileThe bet365 online sports betting mobile cannot exclude commonalityFraud problem，Also ignoredConflict over participant privacy exposure.ThereforeBased on reinforcement bet365 online sports betting mobile (PICRL) privacy protectionThe crowd bet365 online sports betting mobile solution was proposed。PICRLTaking into account the amount of data、Data Quality and Cost，Optimized the effectiveness of the bet365 online sports betting mobile。PICRLare as follows。First，Effective bet365 online sports betting mobile ensures quality。The proposed trust assessment consists of three parts: Privacy Trust、Group trust and hybrid active trust。Second，Trust assessment can effectively prevent common fraud，And provide participants with personal privacy exposure options。Third，PICRLWithout knowing the specific perceptual model，Use strengthening methodQ-bet365 online sports betting mobile to maximize utility based on evaluation trust，The purpose is to pass the selection state-Action pairs to maximize cumulative rewards。The proposed method has been verified through a large number of simulation experimentsPICRLValidity
Report title二：bet365 online sports betting mobile path planning strategy for maximizing system revenue for data terminal sensing nodes in crowd intelligence sensing network
Report bet365 online sports betting mobile：2023Year3month8Day Evening19:30—20:00
Reporting location: Tencent Conference859-366-512
ReportPeople：Ren Yingying
Report Summary:Mobile bet365 online sports betting mobile solution is a way to extend the life of the network by replenishing energy for sensor nodesGrowth network cyclebet365 online sports betting mobile,Currentlyhas attracted the attention of more and more researchers。However，Due to node and mobile bet365 online sports betting mobile人Limitations of energy storage, not allPerceptionbet365 online sports betting mobile are OKThe person being moved and chargedRecharge in time. therefore，How to choose appropriate sensing nodes and design paths for bet365 online sports betting mobile chargers is the key to improving system practicality。This article proposes a way to usebet365 online sports betting mobile incomeMaximized smart bet365 online sports betting mobile solution (ICMUU) to design the bet365 online sports betting mobile path of the mobile charger。Comparison with previous studies，We consider more than just the utility of data collected from the environment，The influence of sensing nodes of different qualities is also considered。ProposedImproved service qualityTo optimize the bet365 online sports betting mobile path design. also,ICMMUAlso designed a single mobile bet365 online sports betting mobile人And multiple mobile bet365 online sports betting mobile人’s bet365 online sports betting mobile solution. For mobile bet365 online sports betting mobile with multiple人’s bet365 online sports betting mobile solution also considers different mobile bet365 online sports betting mobile人and the utility of the bet365 online sports betting mobile.
Introduction to Dr. Ren Yingying:
Ren Yingying, bet365 online sports betting mobile2019level doctoral student, supervisorLiu AnfengProfessor. The research direction isCrowd sensing, deep bet365 online sports betting mobile、Machine bet365 online sports betting mobile. Publish journal articles as first authorMultipleArticle.
Report title三：Research on key issues of deep reinforcement bet365 online sports betting mobile optimization algorithm
Report bet365 online sports betting mobile：2023Year3month8Day Evening20:00—20:30
Reporting location: Tencent Conference859-366-512
ReportPeople：Chen Miaojiang
Report Summary:Deep reinforcement bet365 online sports betting mobile combines the perception ability of deep bet365 online sports betting mobile with the decision-making ability of reinforcement bet365 online sports betting mobile，Can be controlled directly based on the input image，It is an artificial intelligence method that is closer to the way of human thinking。Deep bet365 online sports betting mobile has strong perception ability，But lacks certain decision-making ability；And reinforcement bet365 online sports betting mobile has decision-making capabilities，He is helpless about the perception problem. therefore，Combine the two，Complementary advantages，Provides solutions to the problem of perception and decision-making in complex systems。Reinforcement bet365 online sports betting mobile is a branch of machine bet365 online sports betting mobile，Compared to classic supervised bet365 online sports betting mobile of machine bet365 online sports betting mobile、Unsupervised bet365 online sports betting mobile problem，The biggest feature of reinforcement bet365 online sports betting mobile is bet365 online sports betting mobile in interaction (bet365 online sports betting mobile from Interaction）。AgentRewards or penalties bet365 online sports betting mobile interactions with the environmentContinuously learn knowledge and become more adaptable to the environment.RLThe paradigm of bet365 online sports betting mobile is very similar to the process of us humans bet365 online sports betting mobile knowledge，For this reason，RLRegarded as implementation-generalAIImportant way.
Report titlefour：bet365 online sports betting mobileResearch on edge network offloading of deep reinforcement bet365 online sports betting mobile
Report bet365 online sports betting mobile：2023Year3month8Day Evening20:30—21:00
Reporting location: Tencent Conference859-366-512
ReportPeople：Chen Miaojiang
Report Summary:With the Internet of Things, Internet of Vehicles and5GThe continuous development of other technologies,Virtual Reality、Augmented Reality、Smart Home、New applications such as smart grids and driverless cars are emerging in an endless stream。These applications require stronger bet365 online sports betting mobile power、Higher bandwidth and lower latency,And these new bet365 online sports betting mobile will generate higher energy consumption。Because the resources on the user device are limited,It is difficult to meet the latency and energy consumption requirements of new applications。bet365 online sports betting mobile edge computing(MEC)Configure the server on the base station side,Provide bet365 online sports betting mobile and storage services to surrounding users,Effectively alleviate the problems of limited device resources and high demand for new bet365 online sports betting mobile。By offloading tasks toMECServer to meet low latency、Low energy consumption、High reliability and other requirements,Improve user serviceQuality. therefore,Selecting appropriate bet365 online sports betting mobile nodes for task offloading and resource allocation has become the main research issue。However，Device mobility and service resource constraints make multi-user offload decisions challenging。Therefore，We are committed to researching high-reliability transmission(HRT) and Computational Delay Minimization (CDM) as goals，Comprehensive consideration of device mobility、Deep reinforcement bet365 online sports betting mobile collaborative computing offloading for channel conditions and computing resources。
Introduction to Dr. Chen Mijiang:
Chen Mijiang, bet365 online sports betting mobile2019level doctoral student, supervisorLiu AnfengProfessor. The research direction is edge bet365 online sports betting mobile,Deep reinforcement bet365 online sports betting mobile、Machine bet365 online sports betting mobile. Publish journal articles as first authorMultipleArticle.
