Competitive opinion maximization (COM) aims to determine some individuals (i.e., seed nodes) from social networks, propagating the desired opinions toward a target entity their neighbors through relationships when facing with its competitors (components) and maximize spread after specific time. Current studies on COM are still in infancy, while only work merely considers scenario that strategy of is known but ignores unknown scenario. In addition, previous cannot easily address situation...

The statefinder diagnosic is a useful method for distinguishing different dark energy models. In this paper, we investigate the new agegraphic model with interaction between and matter component by using parameter pair $\{r, s\}$ study its cosmological evolution. We plot trajectories of cases in plane. As result, influence on evolution universe shown diagrams.

This article develops two novel output feedback (OPFB) <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula> -learning algorithms, on-policy and off-policy -learning, to solve notation="LaTeX">$H_{\infty }$ static OPFB control problem of linear discrete-time (DT) systems. The primary contribution the proposed algorithms lies in a newly developed algorithm form for completely...

Cloud service providers negotiate SLAs for customer services they offer based on the reliability of performance and availability their lower-level platform infrastructure. While management is more mature, less reliable. In order to support an iterative approach that supports initial static infrastructure configuration as well dynamic reconfiguration auto-scaling, accurate efficient solution required. We propose a prediction-based technique combines pattern matching with traditional...

In this paper we discuss the inflationary universe in context of a Chaplygin gas equation state within framework effective theory loop quantum cosmology. Under slow-roll approximation, calculate primordial perturbations for model. We give general expressions scalar spectral index, its running, and tensor-to-scalar ratio, etc. For chaotic inflation with quadratic potential, using WMAP 5-year results, determine parameters model The results are consistent observations.

A promising way to guarantee dependability of service-based systems (SBSs) is replanning service bindings dynamically with the environment changing. As embedded into system execution, such process will directly affect overall performance SBSs. While various techniques have been proposed up now, it still challenging that how provide cost-effective methods for high-quality In this paper, we propose a practical solution by improving flexibility and establish an adaptive mechanism that. This new...

Traffic accident is one of the severe social problems in world, but appraisal and prevention fatigue driving still a difficult problem that can not be solved. This paper to study results existing antifatigue products, collecting brain wave with TGAM (ThinkGear AM) Brain Wave Sensor Chip. We analyze collected waveform based on eye blink detect algorithm work out current situation driver. According analysis results, Sound Module controllable speed car will make series feedback. Finally, an...

Service-based software system (SBS) is a based on service-oriented architecture (SOA). Although often treated as composite service, an SBS proposed from more practical point of view restricted service provisions. In the highly competitive market, just meeting such requirements seems not enough to get customers for providers, and they usually provide additional preferential policies, special order "buy-two-get-one-free". However, most current adaptation approaches focus single transaction,...

Due to the rise of many fields such as e-commerce platforms, a large number stream data has emerged. The incomplete labeling problem and concept drift these pose huge challenge existing classification methods. In this respect, dynamic algorithm is proposed for data. For problem, method introduces randomization iterative strategy based on very fast decision tree VFDT design an integration algorithm, uses previous model result next input implements voting mechanism new classification. At same...

Patients with heart disease or undergoing therapy at home are in a desperate need of detecting ECG signals under normal living conditions for long time. However, traditional systems require electrode contacting the human body. The research this paper is concerned development novel Ballistocardiogram(BCG) detection and processing system on FPGA without attaching any electrodes to subject monitoring health statues. proposed consists two modules: suitable BCG signal acquisition module, circuit...

In this paper, an optimal consensus control protocol based on Q-learning algorithm is proposed for a class of discrete-time multiagent systems with unknown system matrices and state delays. It well known that coupled Hamilton Jacobi Bellman(HJB) equation difficult to be solved especially systems(MASs) On the basis coordinate transformation, MASs delays can converted corresponding delay-free under certain conditions. Then, adopted by using data rather than accurate model. We formulate...