摘要：The method and procedure of realizing parameter statistical correlation analysis ofbipolar analog IC’s are given,and the statistical model of parameter are constructed with doubleparameters(B_F,R_S).Based on the comparison and analysis of the circuit characteristics,it isshown that the method can be used for analysis and design of bipolar IC’s.

摘要：Synthesis of CuO nanoparticles by hydrothermal technique in presence of cetyltrimethylammonium bromide (CTAB) as surfactant was carried out by statistically designed experiments based on Box Behnken method. Reaction parameters as time, temperature and surfactant concentration have been studied to show their effect on CuO particle size and morphology. The results of experimental design indicate that the surfactant concentration, reaction time and temperature were significant in. CuO particles were characterized using XRD and SEM. These work findings showed that CuO nanoparticles were formed at 100oC. On other hand, their crystallinity was improved with rising temperature from 100 to 200oC to achieve particle size of CuO in the range of 49-92 nm.

摘要：Excitation parameter preferences are key factors a ecting the performance of magnetic frequency mixing detection.A uniform experimental design method was used to analyze this *** fuzzy theory,a comprehensive model is established for evaluating the e ect of magnetic frequency mixing.A polynomial is selected as the regression function to express explicitly the correlation between the excitation parameters and the frequency-mixing e *** excitation parameters were then optimized using genetic *** frequency mixing experiments were conducted to measure the surface hardness of some ferromagnetic *** mixing is further enhanced under the optimal settings,resulting in an improvement in the measurement *** results of this study support the application of the magnetic frequency mixing technique in non-destructive testing.

摘要：Hybrid Manufacturing combines the advantages of Additive Manufacturing (AM)and Subtractive Manufacturing on a single *** previous research has provided a good background of the manufacturing parameters,the analysis is often carried out separately and there is a lack of combined *** purpose of this research is to examine the influence of the main manufacturing parameters involved in AM and subtracfive processes using different ***,the study is focused on the Material Extrusion process concerning the layer height,fill angle and fill density;as well as two factors related to machining,including stepover and pass *** parameters that were examined include the dimension,hardness, flatness,weight and roughness.A mulfifactofial Design of Experiments was proposed with a total of 64 ***,a statistical analysis was carried out to assess the influence of the different groups on the response ***,a decision table presented and facilitated the selection of parameters depending on the desired objectives,leading to a framework that was applied to a case study for *** decision guide could enable designers and engineers to select the best strategy for a specific application,leading to a more efficient approach for manufacturing.

摘要：In this paper, we discuss the art of estimating the greatest level of understanding obtained by a student based on five assessment types ranked based on their correlation between the set maximum levels of understanding. The results show a weighting system yields a point estimate that has a stronger correlation between the preset levels of understanding than a simple point system.

摘要：The objective of this study was to use regression modelling, a form of statistical downscaling technique, to predict the daily rainfall occurrence and rainfall amounts for a small river basin, the upper Ping River Basin (UPRB) in northern Thailand. Daily historic (1960e2005)rainfall and a number of daily reanalysis variables (NCEP/NCAR) were used to create regression models that estimate the probabilities of rainfall occurrence (wet days) and amounts (rainfall depth) at each of 29 rain gauge stations located in and around the UPRB. The regression models were calibrated using historic (1960e1989) data and validated using historic (1990e2005) data. Regression models were later applied to historic (1960e2005) GCM outputs (MPI-ESM-LR model) which were adjusted to correspond to the selected reanalysis variables using the Nested Bias Correction (NBC) technique. Rainfall occurrence and amounts were predicted for the periods 2006e2050 and 2051e2100 for RCP2.6, RCP4.5, RCP8.5 scenarios. Results show that the effects of climate change vary considerably across the catchment, with significantly declines in both the number of wet days and rainfall depth in the wet- and especially the dry-season in the middle of the catchment but obviously increase slightly towards the northern part of the catchment. Since the stepwise regression was used to select the atmospheric variables to form the regression models for simulating rainfall occurrence and amount, different stations have their own predictors and can influence future rainfall to vary significantly between 29 rain gauge stations. If the top three predictors were selected to form the regression models for simulating rainfall occurrence and amount for all stations, the future rainfall characteristics possibly change and can be used to compare with those of presented in this study. It will show either atmospheric predictors or climate change scenarios would have more effect on future rainfall characteristics.

摘要：This paper presents the Taguchi Method, a statistical design modelling for experiments applied in environmental engineering. This method was applied to optimize the treatment conditions of polyester-resin effluent by means of Advanced Oxidative Processes (AOPs) using chemical oxygen demand (COD) as response parameter. The influence of each independent parameter including respective interactions was evaluated by Taguchi Method, which allowed determining the most statistically significant variables and conditions to best fit the process. Results showed that Taguchi Method is a very useful tool for environmental engineering field and possible simplifications of analysis and calculations through commercially available software.

摘要：The statistical energy analysis (SEA) was used in the acoustical design of an electrical emergency plant to reduce the outdoor noise level. In the past, when the plant was working, a high annoying noise was heard all over the university camp. At a first glance the principal ways of noise propagation were the open door of the plant which was used for the suction of fresh air and a vast hole in the ceiling which was used for gases outlet. Also, a spectral analysis of the noise inside the plant showed that the dominant frequencies of the noise were in the range of 120 - 270 Hz. This frequency range is near the critical frequency of the brick walls that is 129 Hz, at which the walls are transparent for noise. A two-block diagram is used for the statistical energy analysis. Two ways of sound transmission are considered through the inlet and outlet holes and through the walls and ceiling. This analysis shows that the exclusion of holes wouldn’t be sufficient to reduce noise to an acceptable level in a low frequency range but increase the noise absorption by the wall coating material. The transmission loss is calculated for different wall coatings and hole areas. A layer of fiberglass of two-inch width is selected to increase the wall absorption coefficient. Special silencers are designed and put at the suction of air and at the outlet of engine gases to reduce the noise propagation through the holes. The noise measurement shows that the noise level is considerably reduced after implementation of these measures. The reduction of noise is 7 - 8 dB (A), 19 dB (A) and 23 dB (A), inside the plant, 10 m and 15 m away from the plant, respectively.

摘要：Generally speaking, the software of management systems in law field is based on the frames of events. However, we are going to study and develop the new software of management system in which the basic elements are evidence. This kind of software is often called evidence management system. Here we are supposed to present a designing plan and an implementing approach for the evidence management system in detail. Some functions such as global, dynamic and systematic managing of evidence can be implemented in this system. We attempt to provide a function of individual searching as well. Users may carry out multi-dimensional data analysis based on the information of our database of the management systems.

摘要：Rahim and Banerjee [1] developed a general model for the optimal design of x-control charts. The model minimizes the expected cost per unit time. The heart of the model is a theorem that derives the expected total cost and the expected cycle length. In this paper an alternative simple proof for the theorem is provided based on mathematical induction.