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The CadmiumII Isophthalicacid Benzimidazole complex [Cd2(C8H4O4)2 (C7H6N2)4(H2O)3], Triqua-bis (isophthalicacidato-O,O')-tetra (benzimidazole) bis (CadmiumII),the CdII atom is coordinated by two isophthalicacid anions and two benzimidazole and one water molecule in a distorted octahedral configuration with six-coordinations geometry. And one isophthalicacid ligand chelates to the CdII atom through its one carboxylic O atoms, but the other isophthalicacid ligand chelates to the CdII atom through its two carboxylic O atoms. The same as another CdII atom. So we get a Binuclear CdII metal complexe. The fact clearly suggests not so much significant contribution from the electrostatic interaction in the Cd-O bonding in bidentate Binuclear CdII metal complexes as we gotten in mononuclear MnII metal complexes. Adjacent complex link to each other via hydrogen bonds forming the three-dimensional supramolecular structure.

The coefficient of performance (COP), the volumetric refrigeration capacity and the pressure ratio of refrigeration cycle were studied in a refrigeration-type compressed-air dryer using environmentally friendly refrigerants R410A and R407C and compared with those using R22. Study indicates that under the working condition of a refrigeration-type compressed-air dryer, COP using R410A is 3% higher than that using R407C, the volumetric refrigeration capacity using R410A is 50 percentage points higher than that using R407C and the pressure ratio of R410A is 10% less than that of R407C. COP using R410A equals 96% of that using R22 and the volumetric refrigerating capacity equals 147% of that using R22. COP using R407C is equal to 93% of that using R22 and the volumetric refrigerating capacity is equal to 97% of that using R22. R410A is a more appropriate alternative to R22 than R407C in a refrigeration-type compressed-air dryer.

The coefficient of performance (COP), the volumetric refrigeration capacity and the pressure ratio of the refrigeration cycle were calculated for a refrigeration-type compressed-air dryer using natural environmentally friendly refrigerants R717, R290 and R610a and compared with those using R22. Study shows that in the working condition of a refrigeration-type compressed-air dryer the COP and volumetric refrigeration capacity using R717 are 5% and 11% higher than those using R22 respectively and COP using R290 is equal to 98% of COP using R22 and the volumetric refrigeration capacity is equal to 85% of that using R22. Although COP using R600a is 2% higher than that using R22, the volumetric refrigeration capacity is much lower than that using other refrigerants above mentioned. R717 and R290 are recommended as appropriate substitute refrigerants for R22 in a refrigeration-type compressed-air dryer.

Big data is mainly for analytic applications, which puts high requirements on data processing ability instead of computational accuracy. In this environment, software engineering-based methods should be carried out with the goal of data processing and computation. To adapt to the development of various analytic applications in big data era, this paper provides a software design model based on big data, and at the same time, analyzes compiler mechanism of big data programming language.

The ManganeseII Isovanillin complex [Mn2(C8H7O3)4(H2O)2], Diaqua-tetra (isovanillinato-O,O')-bis (manganeseII),the MnII atom is coordinated by three isovanillinate anions and one water molecule in a distorted trigonal bipyramidal configuration with five-coordinations geometry. And one isovanillinate ligand chelates to the MnII atom through its methyl and hydroxy O atoms, the other two isovanillinate ligand chelates to the MnII atom only through its hydroxy O atoms. The same as another MnII atom. So we get a Binuclear MnII metal complexe. The fact clearly suggests not so much significant contribution from the electrostatic interaction in the Mn-O bonding in Binuclear MnII metal complexes as we gotten in mononuclear MnII metal complexes. Adjacent complex link to each other via hydrogen bonds forming the three-dimensional supramolecular structure.

In this study, a novel two-phase image segmentation algorithm (TPIS) by using nonlocal mean filter and kernel evolutionary clustering in local learning is proposed. Currently, the difficulties for image segmentation lie in its vast pixels with overlapping characteristic and the noise in the different process of imaging. Here, we want to use nonlocal mean filter to remove different types of noise in the image, and then, two kernel clustering indices are designed in evolutionary optimization. Besides, the local learning strategy is designed using local coefficient of variation of each local pixels or image patch is employed to update the quality of the local segments. The new algorithm is used to solve different image segmentation tasks. The experimental results show that TPIS is competent for segmenting majority of the test images with high quality.

The copper-iron ore has grades of 0.58% Cu and 42.14% Fe in Anhui. According to test on raw ore, it has the characteristics of close intergrowth and fine dissemination size, which belongs to a refractory ore. The copper oxide distributes mainly at the perimeter of copper sulfide. According to the characteristics of the structure, a flow sheet of rough grinding and flotation of inter-locked particles is taken. This process can recover copper effectively, leading to the recovery of Cu increase to 70.05%.A combined technological process of high intensity magnetic separation-gravity separation is used to hematite, which achieves an iron grade of 62.34% in the final concentrate and a recovery of 65.49%.

A detailed beneficiation test of fluorite ore with barite from Hunan area was studied. The grade of the fluorite in the crude ore is 56.47% and the barite is 17.32%, mainly gangue minerals is quartz. According to the properties of the ore, by comparing the results of various tests, we decided take the procession as follow: after the grade classification, coarse grain tailing by the jig, and then bulk flotation fluorite and barite ore, mixed flotation concentrate then float the fluorite and restrain the barite, the fine particle come into the shaking table to concentrate the barite fine particle concentration. Finally the grade of fluorite concentrate is 96.54% and recovery rate is 89.77%; the grade of barite concentrate is 88.78% and recovery rate is 97.46%. Then we achieved the good test indicator.

This paper expounds on the deviation of measured coefficient of friction from the assignment when the friction pair of the spherical bearing changes from plane structure into spherical structure, and summarizes the common explanation of such phenomenon of the past. Through the analysis on the methods of the measurement test for the coefficient of spherical pivoting friction and an in-depth analysis on the relation between the motion state and relative motion of the internal parts of the spherical bearing generated by rotating it based on this method, a new calculation formula for the coefficient of pivoting friction of the spherical bearing is put forward, which is of great significance to in-depth understanding of the structural principles of spherical bearing, precise structural design and sound bearing applications.

The blast impact dynamic experiment of reinforced concrete rectangular plate with simply supported boundary conditions was performed using explosion pressure simulator. With 3-D FEM software LS-DYNA, the separate solid models of concrete and steel were established and 3-D FEM dynamic analysis of the experiment process was carried out. Compared calculation results to experiment results synthetically, the damage mechanism and failure characteristics of reinforced concrete plate under explosion impact loading condition were got and it is also verified that the H-J-C model can approximately simulate the concrete properties well under explosion impact loading condition.

In this study, catalytic cracking ofCornus wisonianaoil to liquid bio-fuel oil using KF/CaO as a solid base catalyst was studied. The catalyst characteristic by SEM, XRD, CO2-TPD was proposed and the separate effects of impregnation ratio, calcination temperature and calcination time were investigated. This paper also studied the separate influence of mass of catalyst and reaction time on catalytic cracking ofCornus wisonianaoil. The experimental results showed that a 41.7% impregnation ratio, 630°C calcination temperature, and 4h reaction time can obtain option catalyst. When addition of 0.1% KF/CaO catalyst and 35min reaction time gave the best results, and the liquid oil yield exceeded 82.7%. The catalyst basicity was not too high, formed flake porous layer structure.* Corresponding authors:Changzhu Li (lichangzhu2013@aliyun.com)

Based on pretreatment of Cornus wilsoniana vegetable oil,and adopting the method of high temperature catalytic cracking to preparating of rich hydrocarbon bio-diesel. Cornus Wilsoniana vegetable oil was as the raw oil,the process of high temperature catalytic cracking was dwascussed,by the catalyst types and percentage, heating current and the influence of reaction time.The more ideal response condition was:The best catalyst was KF/CaO (40%,roast 4 h); The best catalyst percentage was 0.1%;the best heating current was 3.2 A; The best reaction time was 40 min;The yield of liquid was 82%;The response rate was 92%. The preparation of bio-diesel was similar to 0 # diesel.

In our Research, we Used Cornus Wisoniana oil as Feedstock and the High Temperature Pyrolysis Kettle as the Reactor. Examine the Performance of Lanthanum Oxide, Zirconium Sulfate, Calcium Oxide and KF Loaded Catalyst on Cornus Wisoniana oil Catalytic Cracking Reaction. and through the SEM, XRD and FT-IR, Optimal Catalysts were Used to Characterize the Structure. the Results Showed that among KF Modified Catalyst KF Supported on Cao Produced Highest Yield of Bio-Fuel Oil from Cornus Wisoniana oil. when the Dosage of Catalyst Reached 1%, KF Impregnation Ratio of 40%, and Catalyst Calcination for 4h at 600°C, it can be Obtained Highest Yield of Bio-Fuel Oil about 82.7% and Reaction Rate up to 94.1. in Addition to the KF/MgO Having Low Yield about 60.6%, Catalytic Activity of other Four KF Catalysts were Higher than that of Lanthanum Oxide, Zirconium Sulfate and Calcium Oxide. the Catalytic Efficiency of Lanthanum Oxide and Zirconium Sulfate Appeared Similarity and are all Low. the Catalytic Activity of Calcium Oxide is Slightly Higher than the Lanthanum Oxide and Zirconium Sulfate, but Lower than that of KF/CaO Catalyst.

Network-based recommendation algorithm presents a good recommended result in many aspects. The algorithm is also facing the problem of cold-start. This paper proposes a solution for cold-start problem which makes use of an algorithm based on items similarity to calculate the similarity between the new item and other items in the system, and then link the new item to the user-item matrix. Finally the new items can be recommended to users by the network-based recommendation algorithm what the traditional network-based recommendation algorithm can't do. Therefore, the problem is solved on certain degree.

In the construction of high-rise buildings, the effect produced by the excavation of deep and large foundition pits on the surrounding structures cannot be ignored. This paper presents a case study from a construction project located in Nanjing, in which the dynamic excavation process of a founditon pits is numerically analyzed with finite element method on Plaxis. The impact of various excavation stage on subway tunnel nearby is achieved in terms of the results of data analyses and assessments.

TheCornus wisonianaoils derives from the energy tree species, belonging to woody energy plant oils. This experiment studied the catalytic cracking decarboxylation reaction ofCornus wisonianaoil. Through experiments, CaO / KF made by ourselves was proved to be have good catalytic effect. The highest yield of liquid fuel oil products is at 83.0% or more. Because of high acid value, pyrolysis oil can not be directly burned, this study p-toluenesulfonic acid as a catalyst to conduct esterification alcohol, lower acid value. Then alcohol esterification was used to reducing acid of cracking bio-fuel products and p-Methylbenzene sulfonic acid as catalyst. After reducing the acid, this kind of fuel is closer than traditional fossil fuels, able to alternative to diesel, and to achieve energy conservation.

In the deep rock mass surrounding, rock burst, large deformation, zonal fracturing and phenomena like these may occur in the tunnel excavation process. When zonal fracturing happens, it is essential to reconsider the types of support, the boundary of support and the approach of tunnel excavation. In this paper, the control theory about the surrounding rock stability under high pre-existing stresses was researched, and the efficient support form which was the combination of high strength anchor bar and anchor cable was ascertained to be adaptive to deep tunnel excavation. According to the deformation and zonal fracturing mechanism of the surrounding rock, a comprehensive support program that combined intensive short anchor bars and long anchor cables was established, and the numerical simulation was carried out to verify the feasibility of the support form.

The present study deals with comparative evaluation of three different aquatic macrophytes, i.e. Myriophyllum spicatum, Sagittaria sagittifolia and Pistia stratiote planted at three different concentrations (1.0, 3.0 and 5.0 mg/L) of metals in laboratory experiment for Cd, Cu and Zn removal from aqueous solution. Result revealed high removal (>90%) of different metals during 15 days experiment. Highest removal was observed on 13th day of experiment, thereafter it decreased. Results revealed Pistia stratiote as the most efficient for the removal of selected heavy metal followed by Sagittaria sagittifolia and Myriophyllum spicatum. Selected plants can be used for large scale removal of Cd, Cu and Zn from waste water.

Antibacterial activity of zinc oxide (ZnO) or strengthening of hydroxylapatite whisker (HAPw) had been studied and applied widely. However, antibacterial property of ZnO-HAPw was scarcely researched nowadays. The aim of this study was to further investigate several kinds of morphologies of ZnO-HAPw prepared by sol-gel technology at different pondus hydrogenii (pH) value and temperature. Four kinds of morphologies of ZnO-HAPw were granule, triangle, short rod and gongs nail at 70°C and pH=6.4, 37°C and pH=6.6, 70°C and pH=6.6, 70°C and pH=6.6. The SEM images of HAPw and ZnO-HAPw samples showed that the HAPw surface was smooth and no difference after annealing treatment. In addition, different shapes of nanoZnO fused uniformly on the HAPw surface. The EDS indicates nanoZnO fuses on HAPw surface.

This study aimed to compare three different methods for the modification of aluminium borate whiskers and investigate the effect of aluminium borate whiskers composites on flexural properties of dental resin composites. Method A was to mix aluminium borate whiskers and silicon dioxide (SiO2) nanoparticles directly. Method B was to modify the mixture of aluminium borate whiskers and SiO2nanoparticles with sol-gel process of tetraethoxysilane (TEOS). Method C was to modify the aluminium borate whiskers with SiO2nanoparticles which were repaired by sol-gel method of TEOS. The effects of the three methods were characterized by the TEM and SEM. There was a significant difference (p

The traditional financial risk warning model are all based on probability theory and statistical analysis, but the precisions of the results are usually not satisfied in practice. This paper studies the application of artificial neural network in corporate financial risk early-warning. It designs an early warning model of financial risk based on BP neural network. And then selects financial data from 30 enterprises as samples to train and test the network. The result indicates that the risk early warning model is very effective. It can solve some problems of the traditional early warning methods such as difficult to deal with highly non-linear and lack of adaptive capacity.

The principle of an ultrasonic distance measurement system is introduced. The system adopts non-contact measurement method and it consists of signal generator, echo receiver circuit, microcontroller, time sequential logic control circuit, target distance detection circuit, temperature measurement circuit, RS-485 serial interface circuit, ultrasonic sensor and its driver circuit, etc. The results show that the system has high precision within measuring range from 20cm to 15m.

A kind of high oxidation rate and complex to concentrate copper oxide ore has been studied. The run-of-mine grade of Copper was 2.54%, with the oxidation rate of 79.13%. And the grade of Silver was 80g/t. The optimal grinding fineness was about to 71%. Use the best reagent combination which obtained by condition test, the final results was that the grade of Copper concentrate was 15.20% and the recovery rate was 56.85%, included silver 793.50 g/t.

A detection system of capacitive sensor is designed and the application of capacitive sensor in measurement of material transportation is discussed. On the basis of measuring the dielectric constant change of the material in conveyor, the system can detect density variation of the material. The signal conditioning circuit of measurement system consists of capacity/voltage conversion circuit, phase shifter and programmable gain amplifier etc. It can reduce the influence of cable’s distributed capacitance and other parasitic capacitance. The results show that the system has high measurement precision of the relative value, and better anti-interference ability.

Carlin Trend gold ores are often refractory by conventional cyanid, for a number reasons:1) the gold is locked up within host sulfide minerals such as pyrite or arsenopyrite; 2) the ore contains carbonaceous compounds which are preg-robbing; 3) the gold is locked up in silicate minerals. An alternative technique called diagnostic leaching, originally developed by the Anglo American Research Laboratories in South Africa, has been used successfully to distinguish between a wide variety of different gold associations, including the proportion of preg-robbing gold in carbonaceous gold ores.

The test ore is a kind of relatively high grade of sulphide copper-lead ore, the difficulties of test is the effective separation of copper and lead, the lead grade of 13.08% and copper grade of 1.33% in comprehensive core sample. After the exploring test of principle flow sheet, the flotation process of depress lead and float copper is used. As a result, the grade of copper is 25.25% and lead is 6.23% in the copper concentrate, the grade of lead is 51.23% and copper is 2.44% in lead concentrate. The test research has certain guiding significance about copper and lead separation on production.

An effective method was proposed to recycle trimethyl chlorosilane (Me3SiCl) from chlorosilane waste generated by chlorosilane plants to produce hexamethyldisiloxane (Me3SiOSiMe3) and trimethylethoxysilane (Me3SiOEt) through hydrolysis and alcoholysis with ethanol, respectively. And this method had been used successfully in a chemical plant of Hebei Hongxing in North China. The concentration of Me3SiCl in the waste stream varied between 40 wt%~80 wt% mixed with SiCl4, Me2SiCl2, and a smaller amount of 2-MeC5H11 and 3-MeC5H11. Laboratory experiments were performed using simulated wastes in order to obtain optimal operational parameters and validate the feasibility of the method.

Based on the principle that the same class is adjacent, an anomaly intrusion detection method based on K-means and Support Vector Machine (SVM) is presented. In order to overcome the disadvantage that k-means algorithm requires initializing parameters, this paper proposes an improved K-means algorithm with a strategy of adjustable parameters. According to the location of wireless sensor networks (WSN), we can obtain clustering results by applying improved K-means algorithm to WSN, and then SVM algorithm is applied to different clusters for anomaly intrusion detection. Simulation results show that the proposed method can detect abnormal behaviors efficiently and has high detection rate and low false positive rate than the current typical intrusion detection schemes of WSN.

Resistance spot welding (RSW) is being taken place by partial lap laser welding for the poor surface quality and bad airtight due to the pressure of electrodes. The shape of partial lap laser welding is similar to the vase. When the penetration of the joint is in a certain range, there is no welding trace on the outer surface. Laser welding temperature field numerical analysis based on Abaqus finite element analysis software is committed to obtain a suitable range of process parameters to improve production efficiency and automation by determining the joint penetration. To master the laser lap welding of stainless steel weld penetration state, the combination of three-dimensional positive cone + three-dimensional inverted cone + half-ellipsoid heat source model was established simulating stainless steel lap laser weld pool shape and forecasting the range of process parameters .

The characteristics of the fluctuating pressure for the 15° expansion corner of an axisymmetric body have been investigated experimentally using dynamic pressure measurements and Schlieren photograghs. Data were acquired over a Mach number ranging from 0.8 to 0.92. The angles of attack ranged from 0° to 5°. Pressure signals were measured simultaneously in several positions along the axis of model and were analyzed both in the time and frequency domains. The results indicate that large fluctuating pressure loads, resulting from the shock/boundary layer interaction exist at the transonic flow condition, because of the shock/boundary layer interaction. The maximal pressure fluctuation occurs after the expansion corner at Mach number 0.86. With the Mach number increasing, the position of the normal shock moves downstream. In the shock/boundary layer interaction region, the fluctuating pressure changes significantly with different angles of attack. Moreover, this interaction has a main effect of enhancing the power spectral density in low-frequency range (f≤5KHz).

The characteristics of the fluctuating pressure in the boundary layer of an axisymmetric body have been investigated experimentally using dynamic pressure measurements and Schlieren photograghs. Data were acquired at subsonic and super-sonic Mach numbers. The angles of attack ranged from 0° to 5°. Pressure signals were measured simultaneously in several positions along the model and were analyzed both in the time and frequency domains. The Mach number shows the relevant influence on . Furthermore, the pressure fluctuations’ level decreases with the increasing of Mach number except M=1.15. And it is shown that, the location along the axis of the model and the angles of attack have small effect on pressure fluctuations.

As a software component which is capable of learning in an autonomous way, software agent should have the capability of learning in a dynamic environment. Genetic Algorithm has a wide perspective in the machine learning because of its unique characteristic (e.g. dynamic adaptability, self-organization, global convergence and robustness). But when applying GA to agent’s dynamic learning model, it encounters a series of problem. In this paper, a Modifided Multi-Objective Genetic Algorithm(MMOGA) will be introduced to solve these problems. Finally, an Agent’s Dynamic learning model based on a MMOGA which has the flexible dynamic learning capability, better global convergence and performance, will be introduced.

Recently the problems of resistance spot welding (RSW) stainless steel railway vehicles are causing more attention for poor surface quality. Lap laser welding of stainless steel is investigated with OED(Orthogonal experimental designing ) in this study to replace RSW with the aim of to increase the aesthetics of the car body by eliminating visible indentation on the surface and the flatness of the skin reducing welding deformations. After welding tensile tests and microstructure analysis are performed. The optimization of process parameters were: laser power =2.5kW；welding speed=2.2m/min, focal position=0mm. The fusion zone is symmetrical about the axis of the laser beam and no welding cracks or porosity can be found in any of the welds. This work has great significance of improving the manufacturing level of stainless steel railway vehicles.

Defects of pieces rolled by cross wedge rolling (CWR) have great effect on its practical applications. With reference to the center-pressure method used often in the forging, the effects of non-uniform temperature field on defects were studied by using the three-roll CWR tests under different cooling conditions and the coupled thermo-mechanical finite element models. The porous can be reduced or even eliminated when the billets were rolled with a controlled non-uniform temperature filed. The optimal temperature gradient was determined by FEM, which can be used in practical applications.

The ore is a card cover type gold mine tailings of guizhou, In order to use this gold mine resources better, The process mineralogical research of carlin trend gold ore, By chemical analysis, X-ray diffraction analysis, Scanning electron microscope and electron probe composition analysis, artificial placer analysis,we have found out the The occurrence state of gold in the sample ore. Keywords: Card cover type gold deposits; tailings; Process mineralogy