Word-of-Mouth (WoM) mode, as a new mode of task sensing in crowdsourcing, shows high efficiency building contributor groups. To better tap the potential WoM mobile underlying rationale interactions among contributors needs to be well understood. In this article, we analyze behavior based on Stackelberg game, and find optimal strategies for contributors. We consider two different crowdsourcing tasks announcement methods: 1) one-time parallel 2) multitime sequential ways, which form market...

Amid the surge of intellectual property (IP) disputes surrounding non-fungible tokens (NFTs), some scholars have advocated for application personal or sales law to regulate NFT minting and transactions, contending that IP laws unduly hinder development market. This Article counters these proposals argues existing system stands as most suitable regulatory framework governing evolving Compared law, can more effectively address challenges such tragedies commons anticommons in communities also...

This paper considers the problem of decentralized resource allocation in presence Byzantine attacks. Such attacks occur when an unknown number malicious agents send random or carefully crafted messages to their neighbors, aiming prevent honest from reaching optimal strategy. We characterize these behaviors with classical model, and propose a class Byzantine-resilient algorithms augmented dual-domain defenses. The receive containing (possibly malicious) dual variables neighbors at each...

This paper considers the resource allocation problem over a decentralized multi-agent network and at presence of Byzantine agents. Compared with its centralized counterpart, algorithm enjoys better scalability when is large-scale, but more vulnerable some agents are malicious send wrong messages during optimization process. We utilize classical attack model to describe these actions, propose novel Byzantine-resilient algorithm, abbreviated as BREDA. At each iteration BREDA, honest agent...

Mobile crowdsourcing is a promising paradigm for collecting sensing data by leveraging contributions of numerous mobile smart phones. It works efficiently with Word Mouth Mode (WoM), especially tasks time and location constraints, since the task can be spread quickly among contributors in WoM mode. In this paper, we first investigate behaviors contributors, categorize all into four types according to their different behaviors, propose an inviting algorithm recruit cooperators through social...

This paper has finished data mining from library management system by K-means algorithm of the cluster analysis, made analysis on various characteristics readers' grades and departments thus gained results. The results show that procurement department shall add books English reading materials, computational linguistics, computer operation, social-romantic novels, etc. so as to satisfy demand student readers. a certain extent can be taken guide rationalize distribution resources increase...

In this paper, a research is made for prediction model library circulation established upon application of BP neural network, by which it possible to predict books from library. And the subject verification through simulation combination actual statistical data in terms circulation, with good effect. It great guiding and referential significance make quantitative qualitative analysis improve management.

The patent regime needs to create a new type of patents, which protect AI-enabled inventions and are distinguished from utility patents. This proposal calls it an “AI patent.” Regarding AI systems not assigned the full inventorship as human inventors. What they have is deputy inventorship, quasi-inventorship. in patents narrowly established by joint inventors, must be natural persons collaborate with inventor—an system. In other words, independently developed do qualify for protection...

This paper considers the resource allocation problem in a decentralized multi-agent network at presence of Byzantine agents. Compared with its centralized counterpart, algorithm enjoys better scalability when is large-scale, but more vulnerable some agents are malicious and send wrong messages during optimization process. We use attack model to describe these actions, propose novel Byzantine-resilient algorithm, abbreviated as BREDA. At each iteration BREDA, honest agent receives from...

In this paper, by employing the Lyapunov-Krasovskii functional method, we investigate global robust stability analysis problem for uncertain stochastic neural networks of neutral-type with time-varying delays. A new criterion is proposed in terms linear matrix inequality (LMI). An example given to show effectiveness obtained results using LMI control toolbox MATLAB.

in this paper, the mass oriented HTML data refers to those large enough for data, that can no longer use traditional methods of treatment.In past, has been Web search engine creators have face problem be first bear brunt.Today, various social networks, mobile applications and sensors scientific fields are created daily with PB data.In order deal massive processing challenges HTML, Google MapReduce.Google Yahoo Hadoop hatching out an intact tools ecological system.

This paper deals with the robust stability for uncertain bidirectional associative memory (BAM) neural networks of neutral-type time-varying delays. The parameter uncertainties are assumed to be norm bounded, discrete delays and neutral combined method, which is based on Lyapunov-Krasovskii functional (LKF) some inequality techniques, used investigate this problem. Then, by constructing a new LKF, using Newton-Leibniz formula introducing free weighting matrices, sufficient conditions...

the wireless sensor network and its characteristics of study concluded, that (WSN) ad hoc network.And key problems need to be solved.On several today's popular WSN hierarchical routing protocols are analyzed summarized.On whether data centric, support fusion, based on node localization, quality service (QoS), scalability, robustness safety other aspects comparison, points out advantages disadvantages.Finally it is pointed current protocol committed meet basic performance improvement QoS.

In this paper, the delay-dependent robust stability is investigated for uncertain neutral-type delayed neural networks with discrete interval time-varying delays. The parameter uncertainties are assumed to be norm bounded. Based on Lyapunov-Krasovskii functional, Leibniz-Newton formula and linear matrix inequality (LMI) technique, some conditions proposed by introducing free-weighting matrices. A numerical example presented illustrate efficiency of result.

This paper deals with the problem of robust stability analysis for uncertain stochastic neural networks time varying delay. Based on Lyapunov-Krasovskii functional theory and free-weighting matrices method, delay dependent criteria are proposed in terms linear matrix inequality (LMI). Two examples given to show less conservativeness obtained conditions.

This thesis mainly expounds the design ideas and realization methods of medical statistics question database management system.Specifically speaking,the function modules,data structure business processes system are designed based on analysis questions,test papers needs functions.We choose Visual Basic 6.0 to develop interface,establish with Access 2003,and make use Word 2003 output documents.This can achieve separation teaching testing effectively which examinations more normal...