大数据对金融统计工作的影响分析

随着 21 世纪的到来,我们也进入了信息爆炸的时代,形形色色、各式各样的信息充斥着我们的生活,在这样的信息资源的条件下,大数据也就应运而生。

工况统计分析与生产线平衡分析研究

通过对工况统计分析技术在生产线平衡分析过程中应用的主要统计方法的介绍,以及对工况统计分析的方法、目标和意义的分析,简要叙述工况统计分析与生产线平衡分析的相关性。

轻型汽车运行工况的统计分析

根据第一汽车制造厂轻型汽车产品开发过程中的运行工况统计结果,分析了整车参数与统计工况的内在关系,为优选整车参数奠定了基础。

斗轮机边缘取料恒流量控制研究

在火电厂条型料场取料作业中,恒流量取料作业是精准配煤掺烧的前提条件。在实际作业中,斗轮机在左右两侧到边时容易发生流量减小、断流的情况。该文依托某火电厂堆取料无人值守系统的技术改造项目,通过在斗轮两侧加装激光雷达的方式进行激光测距,对设备进行数字化分析并建模,结合实际工况统计个性化统计学参数,结合客观技术参数,运用机理建模原理研究设计一套与控制系统对接的算法,通过对流量曲线的对比分析,解决到边取料流量降低甚至断流的问题,提高恒流量取料的效率。

农用运输车动力性和经济性的新型综合评价指标的研究

针对农用运输车发动机功率的选择以及整车动力性和经济性的评价指标问题，在研究农用运输车实际运行工况统计规律的基础上，提出农用运输车的整车动力性和经济性的新型综合评价指标——行驶效率指标。

塔式起重机疲劳载荷谱的编制

用现场实测与有限元动态响应分析相结合的方法 ,获得DBQ30 0 0塔式起重机的动部件在各种作业工况下的应力 时间历程 ,经雨流计数与在役历史工况统计分析 ,编制了各关键零部件的疲劳载荷谱。为该类型塔机的疲劳寿命预估。

Design of super-orthogonal space-time trellis codes based on trace criterion

A design of super-orthogonal space-time trellis codes （SOSTTCs） based on the trace criterion （TC） is proposed for improving the design of SOSTTCs. The shortcomings of the rank and determinant criteria based design and the advantages of the TC-based design are analyzed. The optimization principle of four factors is presented, which includes the space-time block coding （STBC） scheme, set partitioning, trellis structure, and the assignment of signal subsets and STBC schemes in the trellis. According to this principle, systematical and handcrafted design steps are given in detail. By constellation expansion, the code performance can be further improved. The code design results are given, and the new codes outperform others in the simulation.

中通协召开“2014年度通用机械行业统计信息工作会议”

2014年11月25日,中国通用机械工业协会在苏州市组织召开了"2014年度通用机械行业统计信息工作会议"。来自行业的100多位统计工作代表参加了会议。中通协执行副会长兼秘书长张雨豹出席会议,就行业经济发展情况、重大技术装备成就、行业发展存在的问题和由大到强发展建议等作了行业发展报告。中通协副秘书长李多英作了统计信息工作报告,回顾总结了2014年度通用机械行业统计信息工作,明确了2015年通用机械行业统计信息工作主要工作任务。中通协副秘书长兼气体分离设备分会秘书长徐建平。

Design and Research on Artificial Rumen Continuous Culture System

[Objective] The paper was to study the dynamic changes of forage nutrient substance fermentation in rumen, and a set of continuous culture system of artificial rumen was designed. [Method] With in vivo as control, the simulating rumen fer- mentation effect in vitro culture system was evaluated. [Result] The simulation rumen fermentation test needed adaptive phase of 2-3 d, and the fermentation state was relatively stable within 3-9 d, with good effects. The test showed certain regularity variation with index value of rumen in vivo. [Conclusion] The continuous culture sys- tem of artificial rumen could be used as the ideal model to study the rumen fermen- tation in vivo.

Spatiotemporal Variation of Riverine Nutrients in a Typical Hilly Watershed in Southeast China Using Multivariate Statistics Tools

The water quality of lakes can be degraded by excessive riverine nutrients.Riverine water quality generally varies depending on region and season because of the spatiotemporal variations in natural factors and anthropogenic activities.Monthly water quality measurements of eight water quality variables were analyzed for two years at 16 sites of the Tianmuhu watershed.The variables were examined using hierarchical cluster analysis(HCA) and factor analysis/principal component analysis(FA/PCA) to reveal the spatiotemporal variations in riverine nutrients and to identify their potential sources.HCA revealed three geographical groups and three periods.Two drainages comprising towns and large villages were the most polluted, six drainages comprising widely distributed tea plantations and orchards were moderately polluted, and eight drainages without the factors were the least polluted.The river was most polluted in June when the first heavy rain(daily rainfall > 50 mm) occurs after fertilization and the number of rainy days is most(monthly number of rainy days > 20 days).Moderate pollution was observed from October to May, during which morethan 60% of the total nitrogen fertilizer and all of the phosphorus fertilizer are applied to the cropland, the total manure is applied to tea plantations and orchards, and a monthly rainfall ranging from 0 mm to 164 mm occurs.The remaining months were characterized by frequent raining(i.e., number of rainy days per month ranged from 5 to 24) and little use of fertilizers, and were thus least polluted.FA/PCA identified that the greatest pollution sources were the runoff from tea plantations and orchards,domestic pollution and the surface runoff from towns and villages, and rural sewage, which had extremely high contributions of riverine nitrogen, phosphorus,and chemical oxygen demand, respectively.The tea plantations and orchards promoted by the agricultural comprehensive development(ACD) were not environmentally friendly.Riverine nitrogen is a major water pollution parameter in hilly watersheds affected by ACD, and this parameter would not be reduced unless its loss load through the runoff from tea plantations and orchards is effectively controlled.

Effects of process parameters on microstructure and wear resistance of TiN coatings deposited on TC11 titanium alloy by electrospark deposition

In the present study,the effects of process parameters(output voltage x,nitrogen flux l and specific strengthening time s)on the microstructure and wear resistance properties of TiN coatings prepared by electrospark deposition(ESD)were investigatedsystematically.The microstructure of the coatings was characterized for thickness(TOC),content of TiN(CON)and porosity(POC).A statistical model was developed to identify the significant factors affecting the microstructure and wear resistance of the coatings.The results show that the output voltage x and nitrogen flux l present significant effects on majority of the evaluation indexes such asTOC,friction coefficient(COF)and wear mass loss(Id),while the specific strengthening time s has a significant effect on POC and asmall effect on the other indexes.The optimal process parameters were obtained as follows:output voltage(x,60V),nitrogen flux(l,15L/min)and specific strengthening time(s,3min/cm2).The variation of wear mass loss(Id)by the variation of the outputvoltage(x)and nitrogen flux(l)is attributed to the change of wear mechanisms of TiN coatings.The main wear mechanism of TiNcoating prepared under optimal process parameters is micro-cutting wear accompanied by micro-fracture wear.

济南市安监局2012年度预算执行及其他财政财务收支情况的审计结果公告

审计结果公告[2014]26号根据《中华人民共和国审计法》的规定,2013年2月至4月,济南市审计局对济南市安全生产监督管理局(以下简称市安监局)2012年度预算执行及其他财政财务收支情况进行了审计。现将审计结果公告如下:一、基本情况市安监局是2001年成立的全额拨款行政单位,主要职责是:承担全市安全生产综合监督管理责任,负责发布全市安全生产信息,依法组织、协调、参与各类生产安全伤亡事故的调查处理和统计工作;负责危险化学品安全监督管理综合工作和烟花爆竹安全生产监督管理等工作。

Landslide inventory and susceptibility modelling using geospatial tools,in Hunza-Nagar valley,northern Pakistan

A comprehensive landslide inventory and susceptibility maps are prerequisite for developing and implementing landslide mitigation strategies. Landslide susceptibility maps for the landslides prone regions in northern Pakistan are rarely available. The Hunza-Nagar valley in northern Pakistan is known for its frequent and devastating landslides. In this paper, we have developed a landslide inventory map for Hunza-Nagar valley by using the visual interpretation of the SPOT-5 satellite imagery and mapped a total of 172 landslides. The landslide inventory was subsequently divided into modelling and validation data sets. For the development of landslide susceptibility map seven discrete landslide causative factors were correlated with the landslide inventory map using weight of evidence and frequency ratio statistical models. Four different models of conditional independence were used for the selection of landslide causative factors. The produced landslides susceptibility maps were validated by the success rate and area under curves criteria. The prediction power of the models was also validated with the prediction rate curve. The validation results shows that the success rate curves of the weight of evidence and the frequency models are 82% and 79%, respectively. The prediction accuracy results obtained from this study are 84% for weight of evidence model and 80% for the frequency ratio model. Finally, the landslide susceptibility index maps were classified into five different varying susceptibility zones. The validation and prediction result indicates that the weight of evidence and frequency ratio model are reliable to produce an accurate landslide susceptibility map, which may be helpful for landslides management strategies.

Bar in SILL Questionnaire for Multiple Results Processing： Users＇ Frequency and Confidence

One hundred and fifteen first-year students of Greek took the SILL （Strategy Inventory for Language Learning） questionnaire in an attempt to reveal and activate potential a successful and widely used questionnaire like SILL might have but not identified and investigated so far. The first original point to be investigated, tackled in a previous experiment （Kambakis-Vougiouklis, 2012）, concerns users＇ confidence whether their choice of a specific strategy is effective while the second point concerns the use of the bar as an alternative statistical tool. More specifically, in this particular experiment the bar is not divided only into five equal length spaces as in the first experiment but also into five equal area spaces according to Gauss distribution, giving the researcher the chance to investigate possible differences between two ways of data processing--an advantage only the use of the bar could provide in the analysis stage. Additionally, there are advantages concerning results collection, as subjects and researcher will have a completely free choice among infinite points on a line rather than a limited 3, 4, 5, and 6 of a Likert scale, avoiding at the same time fine verbal differences between different subdivisions. Although the two different methods of processing performed homogeneous behaviour with not statistically considerable differences, it needs further applications in order to reach safe conclusions

On the informationization of accounting information in China： The perspective of accounting information systems and its regulatory framework in the USA

The informationization of accounting information systems has brought many improvements to those systems. This paper highlights some of those significant advances in the informationization of accounting information systems in China. As China has become a major industrial power in the international economy, further improvements for these information systems are critical to the continued successes of China. To additionally improve these systems, China can draw upon the systems from other world economic leaders. With its fully developed capital markets, the United States offers development experience for the external reporting components of a fully integrated information system. This paper discusses a typical integrated information system in the United States and addresses the regulatory milestones that were instrumental in the development of those external components of accounting information systems. Recommendations are presented for improving informationization of systems in China based on U.S. systems＇ responses to those milestones.

Multivariate Statistical Process Monitoring and Control: Recent Developments and Applications to Chemical Industry

Multivariate statistical process monitoring and control (MSPM&C) methods for chemical process monitoring with statistical projection techniques such as principal component analysis (PCA) and partial least squares (PLS) are surveyed in this paper. The four-step procedure of performing MSPM&C for chemical process, modeling of processes, detecting abnormal events or faults, identifying the variable(s) responsible for the faults and diagnosing the source cause for the abnormal behavior, is analyzed. Several main research directions of MSPM&C reported in the literature are discussed, such as multi-way principal component analysis (MPCA) for batch process, statistical monitoring and control for nonlinear process, dynamic PCA and dynamic PLS, and on-line quality control by inferential models. Industrial applications of MSPM&C to several typical chemical processes, such as chemical reactor, distillation column, polymerization process, petroleum refinery units, are summarized. Finally, some concluding remarks and future considerations are made.

A reversibly used cooling tower with adaptive neuro-fuzzy inference system

An adaptive neuro-fuzzy inference system(ANFIS) for predicting the performance of a reversibly used cooling tower(RUCT) under cross flow conditions as part of a heat pump system for a heating mode in winter was demonstrated.Extensive field experimental work was carried out in order to gather enough data for training and prediction.The statistical methods,such as the correlation coefficient,absolute fraction of variance and root mean square error,were given to compare the predicted and actual values for model validation.The simulation results predicted with the ANFIS can be used to simulate the performance of a reversibly used cooling tower quite accurately.Therefore,the ANFIS approach can reliably be used for forecasting the performance of RUCT.

Variant Computer Aided Process Planning System for Rotational Parts

The amount of material must be removed away to produce the final product should minimize, excess stock will increase not only the material cost, but also processing cost, fixture cost, tooling cost, and increases machine cycle times. Noticing in recent years that the world is running out of mineral resources, and the price of engineering materials will continually rise in the future, the percentage of the cost of manufactured part that is due to the cost of materials is also rising. This paper proposed a variant CAPP system for rotational parts based on the concept of group technology, this system accepts part features characteristics code number as an input and provides operation details for manufacturing route with the suitable primary processes required to produce the blank work piece as an output.

Statistical Monitoring of Chemical Processes Based on Sensitive Kernel Principal Components

The kernel principal component analysis （KPCA） method employs the first several kernel principal components （KPCs）, which indicate the most variance information of normal observations for process monitoring, but may not reflect the fault information. In this study, sensitive kernel principal component analysis （SKPCA） is proposed to improve process monitoring performance, i.e., to deal with the discordance of T2 statistic and squared prediction error SVE statistic and reduce missed detection rates. T2 statistic can be used to measure the variation di rectly along each KPC and analyze the detection performance as well as capture the most useful information in a process. With the calculation of the change rate of T2 statistic along each KPC, SKPCA selects the sensitive kernel principal components for process monitoring. A simulated simple system and Tennessee Eastman process are employed to demonstrate the efficiency of SKPCA on online monitoring. The results indicate that the monitoring performance is improved significantly.

Capacitance Evaluation on Non-parallel Thick-Plate Capacitors by Means of Finite Element Analysis

In this work we show the influence of the edge-effect on the electric field distribution and, hence, on the inner and outer capacitance in an inclined-plate capacitor system surrounded by an insulating medium taking into account the thickness of the conducting plates for a complete set of dimensions and insulating characteristics. Where available, we compare our results with previously published works. Finally, using statistical tools, we obtain approximate expression for computing the relationship between capacitance and insulation material characteristics, insulation gap, plate dimensions and angle.