Synthesis of novel ordered carbon nanorods and its application in electrochemical double layer capacitor

A unit cell of EDLC works on the principle of double-layer capacitance at the elec- trode/electrolyte interface where electric charges are accumulated on the electrode sur- faces and ions of opposite charge are arranged in the electrolyte side. EDLC is character- ized by its high capacitance, small leaking current, simple charge-discharge, high power output and long cycle life, etc. The capacitance of EDLC is about 20―200 times of tra- ditional capacitor and applicable in a wide temperatu…     

Synergetic-bifurcated prediction model of slope occurrence and its application

Landslide prediction is one of the most important aspects of prevention andcontrol for geological hazards and the environmental protection. In order to study thenonlinear methods for landslide prediction, the synergetic-bifurcated model of predictingthe timing of slope failure is established by combining Synergetics with Bifurcation Theorybased on single-state variable friction law in this paper. The synergetic effects andbifurcated process of the factors in the slope evolution can be characterized in the model.Taking the Xintan Landslide as an example, the prediction of landslide is carried outbased on the model suggested.     

Activity model and its application in CaO-FeO-SiO2-MoO3 quarternary system

The activity model of CaO-FeO-SiO2-MoO3 quarternary system was established according to the coexistence theory of slag structure and the reduction thermodynamics of molybdenum oxide was discussed by applying this model. The activities of SiO2 and MoO3 decrease, while that of CaO increases with increasing the basicity of slag. Among SiC, [C] and [Si] reactants, the reducing capability of SiC is the strongest, while that of [C] is the poorest at a high temperature (about 1873 K). It is advantageous to increase the yield of molybdenum by increasing the content of [Si] or [C]. Controlling of basicity of slag can prevent the oxidation loss of molybdenum.     

A density-dependent matrix model and its applications in optimizing harvest schemes

Based on temporal data collected from 36 re-measured plots, transition probabilities of trees from a diameter class to a higher class were analyzed for the broad-leaved-Korean pine forest in the Changbai Mountains. It was found that the transition probabilities were related not only to diameter size but also to the total basal area of trees with the diameter class. This paper demonstrates the development of a density-dependent matrix model, DM2, and a series of simulations with it for forest stands with different conditions under different harvest schemes. After validations with independent field data, this model proved a suitable tool for optimization analysis of harvest schemes on computers. The optimum harvest scheme(s) can be determined by referring to stand growth, total timbers harvested, and size diversity changes over time. Three user-friendly interfaces were built with a forest management decision support system FORESTAR?for easy operations of DM2 by forest managers. This paper also summarizes the advantages and disadvantages of DM2.     

On-line forecasting model for zinc output based on self-tuning support vector regression and its application

An on-line forecasting model based on self-tuning support vectors regression for zinc output was put forward to maximize zinc output by adjusting operational parameters in the process of imperial smelting furnace. In this model, the mathematical model of support vector regression was converted into the same format as support vector machine for classification. Then a simplified sequential minimal optimization for classification was applied to train the regression coefficient vector α-α^* and threshold b. Sequentially penalty parameter C was tuned dynamically through forecasting result during the training process. Finally, an on-line forecasting algorithm for zinc output was proposed. The simulation result shows that in spite of a relatively small industrial data set, the effective error is less than 10% with a remarkable performance of real time. The model was applied to the optimization operation and fault diagnosis system for imperial smelting furnace.     

Numerical simulation and disaster prevention for catastrophic fire airflow of main air-intake belt roadway in coal mine—A case study

Coal mine belt fire develops very rapidly and is difficult to control. If not suppressed quickly, a belt fire could easily lead to airflow disorder and undermine the ventilation system. However, belt fire can be prevented effectively by establishing fire airflow control system. In this work, the 5th belt roadway of Kongzhuang coal mine was taken as the object of investigation, where geometrical models of this roadway were established firstly. Then, based on mathematical model of fire smoke flow, the CO volume fraction, smoke density distribution, air temperature and pollutant velocity vector in the roadway before and after taking airflow control measures were simulated by using Fluent software. It can be known from the simulation that with the normal ventilation status in 5th belt roadway, the countercurrent of smoke does not happen when a fire occurs; the roadway's section is almost filled with CO at 10 m downstream from the fire source, and with air velocity getting stable gradually, the CO concentration reaches about 15 %. After taking airflow control measures, the effect range of temperature field which are harmful to the miners decreases from 69 m to 30 m; and the distance of the roadway fully filled with CO is 5 m farther than that before taking measures. Finally, according to the numerical simulation results and the actual condition of the belt roadway, the warning and automatic remote airflow control system with short-circuit method for the 5th belt roadway was designed to guarantee the safety production.     

A distributed hydrological model with its application to the Jinghe watershed in the Yellow River Basin

TheYellowRiverBasincoversalargeportionofChina,consistingofcomplicatedlandformswithnoticeabledifferencesfromoneareatoanother.Undertheimpactsofatmosphericcirculationsandmonsoonsystems,itsdifferentpartsareinfluencedgreatlybydissimilarclimate,leadingtoappreciablespatialvariabilityofthelandsurfaceandmeteorologicalaspects,whichhasresultedinthecomplicationofhydrologicalcycleinthebasin[1].Thedistributedhydrologicalmodel,withthespatialdistributioncharactersofmodelstructuresandparameters,isnowconsidere…     

A new support vector machine optimized by improved particle swarm optimization and its application

A new support vector machine （SVM） optimized by an improved particle swarm optimization （PSO） combined with simulated annealing algorithm （SA） was proposed. By incorporating with the simulated annealing method, the global searching capacity of the particle swarm optimization（SAPSO） was enchanced, and the searching capacity of the particle swarm optimization was studied. Then, the improyed particle swarm optimization algorithm was used to optimize the parameters of SVM （c,σ and ε）. Based on the operational data provided by a regional power grid in north China, the method was used in the actual short term load forecasting. The results show that compared to the PSO-SVM and the traditional SVM, the average time of the proposed method in the experimental process reduces by 11.6 s and 31.1 s, and the precision of the proposed method increases by 1.24% and 3.18%, respectively. So, the improved method is better than the PSO-SVM and the traditional SVM.     

A novel vehicle navigation map matching algorithm based on fuzzy logic and its application

A new real-time map matching algorithm based on fuzzy logic is proposed. 3 main factors affecting the reliability of map matching, including the distance between the vehicle location and the matching road segment, the angle between the vehicle direction and the road segment direction and the road connectivity are discussed. Fuzzy rules for the distance, angle and connectivity are presented to calculate the matching reliability. 2 indicators for estimating the matching reliability are then derived, one is the lower limit of the reliability, and the other is the limit error of the difference between the maximal value and the second-maximal value of the reliability. A real-time mapmatching system based on fuzzy logic is therefore developed. Using the real data of global positioning system(GIS) based navigation and geographic information system(GPS) based road map, the method is verified and the results prove the effectiveness of the proposed method.     

A new kind of neuron model with a tunable activation function and its applications

A new neuron model with a tunable activation function, denoted by the TAF model, and its application are addressed. The activation function as well as the connection weights of the neuron model can be adjusted in the training process The two-spiral problem was used as an example to show how to deduce the adjustable activation function required, and how to construct and train the network by the use of the a priori knowledge of the problem. Due to the incorporation of constraints known a priori into the activation function, many novel aspects are revealed, such as small network size, fast learning and good performances. It is believed that the introduction of the new neuron model will pave a new way in ANN studies.     

An accurate analytical Ⅰ-Ⅴ model for sub-90-nm MOSFETs and its application to read static noise margin modeling

We propose an accurate model to describe the Ⅰ-Ⅴ characteristics of a sub-90-nm metal-oxide-semiconductor field-effect transistor (MOSFET) in the linear and saturation regions for fast analytical calcu...     

A phenomenological constitutive equation for Rene 95 PM alloy and its application to isothermal forging process of turbine disk

The flow behavior of Rene 95 PM alloy was studied from 1050 to 1150℃ with strain rate of 1x10-3, 1x102,1x101and 1 s-2. At a given temperature and strain rate, flow curves exhibit a peak followed by flow softening up to a steady state. Moreover, at constant strain, flow stress increases with increasing strain rate and decreasing temperature. An equation relating hyperbolic sine of flow stress to hot working parameters, such as strain, strain rate and temperature, was established by using multiple nonlinear regression method. A very good agreement was found between predicted and experimental flow stress in all the strain range investigated. Application of the constitutive equation in predicting forming loads and flow behavior and temperature distribution in both upper and lower dies in an isothermal forging process of turbine disk of large dimension (about 630 mm) by means of a finite element code was systematically analyzed.     

A fixed point theorem for a class of β-constrictive operators and its application to the integral equation in L~1(0,∞)

0　ＩＮＴＲＯＤＵＣＴＩＯＮＩｎ 1977,Ｆ .Ｓ .ＤｅＢｌａｓｉ[1] ｄｅｆｉｎｅｄｔｈｅｍｅａｓｕｒｅｏｆｗｅａｋｎｏｎｃｏｍｐａｃｔｎｅｓｓｆｏｒａｎｏｎｅｍｐｔｙｂｏｕｎｄｅｄｓｕｂｓｅｔＧｏｆａＢａｎａｃｈｓｐａｃｅＥａｓｆｏｌｌｏｗ :β(Ｇ) =ｉｎｆ {ｒ>0｜ｔｈｅｒｅｅｘｉｓｔｓａｗｅａｋｌｙｃｏｍｐａｃｔｓｅｔＣｓｕｃｈｔｈａｔＧ Ｃ+Ｂｒ}ｗｈｅｒｅＢｒ ={ｘ ∈Ｅ｜‖ｘ‖ ≤ｒ} ,ａｎｄｄｉｓｃｕｓｓｅｄｉｔｓｐｒｏｐｅｒｔｉｅｓｉｎｄｅｔａｉｌ .Ｉｎ 1981,ｂｙｍｅａｎｓｏｆｍｅａｓｕｒｅｓｏ…     

A fixed point theorem for a class ofβ-constrictive operators and its application to the integral equation in L1 (O, ∞ )

Presents the fixed point theorem for a class ofβ-constrictive increasing operators without continuity and discusses the existence of solution of the integral equation with the discontinuous term in L1(0, ∞ ) by using this theorem.