Spatial-temporal Characteristic Research Articles

The Spatial-Temporal Characteristic of Ideal Reactors and Their Inherent Relations

On the basis of spatial-temporal characteristic of ideal reactors, the inherent relations among the batch reactor, the plug flow reactor (PFR), and the continuous stirred tank reactor (CSTR) were discussed. Both the F and E functions of the recycle PFR reactor were derived. The role of CSTR in series or the recycle PFR as a bridge or a link among the ideal reactors was addressed. Based on the discussion, the relations among the ideal reactors were briefly summarized.

Thermal analysis of film photovoltaic cell subjected to dual laser beam irradiation

The concept of dual laser beam irradiation was firstly demonstrated on the photovoltaic cell, of which the temperature dependent efficiency was investigated for wireless power transmission. Then, an analytical model was established to calculate the multiple reflection–absorption of any monochromatic light in multilayer structure, and the heat generation in photovoltaic cell was interpreted. Finally, the finite element analysis was used to simulate the temperature pattern of the photovoltaic cell subjected to laser irradiation. The spatial-temporal characteristic of the temperature field was obtained for improving the system in future.

A Complex Event Model Combination Method Based on Multiple Tuples

The combination problem of complex event model is an important problem in complex event study. Aiming to solve the problem of no well reflecting the spatial-temporal characteristic in current comeplex even models, which are combined by atomic events based on time or space or time and space, a multi-tuple combination method of complex event model based on object, time, space, events and properties is proposed in this paper based on the analysis in existing complex event model.The basic idea of the method is to make use of intrinsic relation existing in multi tuple of event model to combine and express complex event. At a result, our supposed model not only can more comprehensively reflect the spatial-temporal characteristic of event, but also can reflect some dynamic change conditions occurred in the event. Smart home temperature and humidity detection as a case and experimental simulation are used to illustrate and prove the correctness and feasibility of the proposed complex event method based on multiple tuple.

Measuring a Composition Event Representation Model Based on Multi-Tuple for Cyber-Physical Systems

Representation model of composition event is a very important issue in the study of composition event. Aiming to solve the problem of no well reflecting the spatial-temporal characteristic of CPS (Cyber-Physical Systems) in current composition even models, a representation model of composition event based on multi-tuple is proposed for CPS in this paper. The contribution of the paper lies that we use five tuples: object, time, space, event and property, to represent a composition event of CPS, which not only can more comprehensively reflect the spatial-temporal characteristic of CPS event, but also can reflect the some dynamic change features of external environment. The simulation results show that our proposed scheme has several advantages in reducing event average error rate compared with some general event model methods.

A New Spatio-temporal Event Model based on Multi-tuple for Cyber-Physical Systems

Aiming to solve the problem of no well reflecting the spatial-temporal characteristic of CPS in current CPS event model, a new spatial-temporal event model based on multi-tuple for CPS is proposed in this paper.The basic idea of the new method is that we use the five tuples (object, time, space, event and property) to express a CPS event. As a result, our supposed model not only can more comprehensively reflect the spatial-temporal characteristic of CPS event, but also can reflect the dynamic change feature of external environment.The simulation results show that our proposed model scheme has a good performance in terms of reducing event average localization error rate and lowering event average timing error rate compared with other general event model methods.

The Correlations between the Lightning Density Distribution of Sichuan Province and the Seismic Area

We here report our observations of the intense lightning events during ~15:00, 23 September to ~12:00, 24 September 2008 along the fault of Wenchuan-Beichuan counties in Sichuan Province, China where a 8.0 magnitude earthquake strike on May 12th, 2008. This intense lightning period had the highest density in all available the lightning monitoring data of Sichuan. The altered lightning pattern is unlikely to be a coincidence. We also found that the spatial-temporal characteristic of lightning in Sichuan has changed after the earthquake. We studied the correlations and analyze the data between lightning and earthquake in order to understand the seemingly unrelated events.

Spatial-temporal characteristic of water quality in Lake Taihu and its relationship with algal bloom

Based on continuous monitoring data from 2005 to 2007 in Lake Taihu,spatial and temporal series were analyzed using cluster analysis and self-correlation method for chlorophyll-a and total inorganic phosphorus,total inorganic nitrogen,water temperature and other physical and chemical factors of the aquatic environment.The current spatial-temporal characteristics of water quality in Lake Taihu and their relationship with algal bloom are summarized.The results revealed that the spatial distribution of water quality roughly divided into ten groups,including three estuaries,four bays,center lake,western area and eastern area.The degree of eutrophication in estuaries and the northern bays was significantly higher than other areas,while nitrogen and phosphorus in estuaries were higher than those in northern bays because of external source pollution.A significant correlation between chlorophyll-a and total inorganic nitrogen,ammonia nitrogen,water temperature was noted.The monthly average chlorophyll-a displayed that algal bloom occurred mainly from April to October and Meiliang Bay,Gonghu Bay,Zhushan Bay had high coincidence,showing multiple peaks.