基于数据集运算技术的医院绩效工资管理系统设计与开发

目的:建立科学合理的医院职工绩效工资考核运算体系,并进行系统功能开发和应用,实现绩效考核体系的信息化。方法:探索应用数据集技术建立医院的绩效考核运算体系,经过数据库设计、程序编写、信息采集等逐步实现系统功能,使医院绩效考核实行信息化管理。结果:通过系统的试运行,显示考核体系的科学性和可操作性,信息化管理使考核过程准确、高效、便捷,考核结果客观、公正、公开,具有时效性。结论:实现了医院绩效考核的信息化管理,提高了医院整体管理水平、工作质量和效率。

数据库集群技术分析和比较

数据库是计算保存的最终结果,是信息系统中重要的组成部分。随着我国信息化技术的发展,数据库技术得到了很大的完善,数据库技术也不断的成熟起来,然而信息技术发展的同时数据信息量也不断增加,在许多联机事物处理中还存在一定的局限性。数据库集群技术是数据库技术发展的主要趋势之一,在处理联机事物中具有明显的优势,本文就对数据库集群技术进行分析比较,希望能给有关人员提供参考。

数据库技术在大数据中的应用

如今互联网的用户数量正在大规模地增加,这一切都与互联网的高速发展相关联,现在简单的数据库已经无法满足用户的需求,随着云计算技术的高速发展,大数据采用数据库集群技术以后,系统的可靠性和处理效率都能够得到明显的提高,同时也能够提高用户对数据的处理速度和可用性。文章主要对数据库集群技术以及数据库技术的应用做出了简要介绍。

数据库技术在大数据中的应用探讨

互联网技术发展非常惊人,大量的数据产生。在云计算高速发展的今天,大数据结合数据库集群技术,提升了数据处理的效率。

中国机车远程监测与诊断系统(CMD系统)后台数据处理技术

中国机车远程监测与诊断系统(CMD系统)后台处理系统接收机车数据,通过转储与解析程序将处理后的数据存储至数据库服务器,并对数据和故障进行分析,是CMD系统不可或缺的部分,为整个系统提供强有力的数据支撑。结合CMD系统,从实践使用角度出发,对其后台数据处理技术的应用进行探讨。

起伏地形下我国太阳直接辐射的分布式模拟

运用数据集群技术,建立了我国不同时空尺度直接透射率的估算模式,对比分析了不同模式的拟合精度。基于1km×1km分辨率的数字高程模型(DEM)数据,全面考虑了地形因子对太阳直接辐射的影响,实现了实际起伏地形下我国太阳直接辐射的分布式模拟,计算了我国范围内1km×1km分辨率1—12月气候平均太阳直接辐射的空间分布。结果表明:局地地形对太阳直接辐射空间分布的影响非常强烈,尤其是在太阳高度角较低的冬季和秋季;模拟结果可靠,可进行大数据量处理,适用于遥感图像处理、地理信息系统等数据处理平台。

A version management model of PDM system and its realization

Based on the key function of version management in PDM system, this paper discusses the function and the realization of version management and the transitions of version states with a workflow. A directed aeyclic graph is used to describe a version model. Three storage modes of the directed acyelic graph version model in the database, the bumping block and the PDM working memory are presented and the conversion principle of these three modes is given. The study indicates that building a dynamic product structure configuration model based on versions is the key to resolve the problem. Thus a version model of single product object is built. Then the version management model in product structure configuration is built and the application of version management of PDM syster is presented as a case.

Sequential Bag-of-Words model for human action classification

Recently, approaches utilizing spatial-temporal features to form Bag-of-Words （BoWs） models have achieved great success due to their simplicity and effectiveness. But they still have difficulties when distinguishing between actions with high inter-ambiguity. The main reason is that they describe actions by orderless bag of features, and ignore the spatial and temporal structure information of visual words. In order to improve classification performance, we present a novel approach called sequential Bag-of-Words. It captures temporal sequential structure by segmenting the entire action into sub-actions. Meanwhile, we pay more attention to the distinguishing parts of an action by classifying sub- actions separately, which is then employed to vote for the final result. Extensive experiments are conducted on challenging datasets and real scenes to evaluate our method. Concretely, we compare our results to some state-of-the-art classification approaches and confirm the advantages of our approach to distinguish similar actions. Results show that our approach is robust and outperforms most existing BoWs based classification approaches, especially on complex datasets with interactive activities, cluttered backgrounds and inter-class action ambiguities.

Early experience of the compression anastomosis ring (CAR^(TM) 27) in left-sided colon resection

AIM:To evaluate clinical validity of the compression anastomosis ring(CARTM27) anastomosis in left-sided colonic resection. METHODS:A non-randomized prospective data collection was performed for patients undergoing an elective left-sided colon resection,followed by an anastomosis using the CARTM27 between November 2009 and January 2011.Eligibility criteria of the use of the CARTM27 were anastomoses between the colon and at or above the intraperitoneal rectum.The primary short-term clinical endpoint,rate of anastomotic leakage,and other clinical outcomes,including intraand postoperative complications,length of operation time and hospital stay,and the ring elimination time were evaluated. RESULTS:A total of 79 patients(male,43;median age,64 years) underwent an elective left-sided colon resection,followed by an anastomosis using theCARTM27.Colectomy was performed laparoscopically in 70 patients,in whom two patients converted to open procedure(2.9%) .There was no surgical mortality.As an intraoperative complication,total disruption of the anastomosis occurred by premature enforced tension on the proximal segment of the anastomosis in one patient.The ring was removed and another new CARTM27 anastomosis was constructed.One patient with sigmoid colon cancer showed postoperative anastomotic leakage after 6 d postoperatively and temporary diverting ileostomy was performed.Exact date of expulsion of the ring could not be recorded because most patients were not aware that the ring had been expelled.No patients manifested clinical symptoms of anastomotic stricture. CONCLUSION:Short-term evaluation of the CARTM27 anastomosis in elective left colectomy suggested it to be a safe and efficacious alternative to the standard hand-sewn or stapling technique.

Perceptions of Instructors and Students to Online Education at a Rural University

The popularity of technology has allowed universities to make changes through their educational system in recent years. Some transitioned from face-to-face instruction to online instruction. The aim of this study is to investigate the perceptions of both the instructors and the students as regards second language acquisition through online education at a rural university. The study was implemented in the context of teaching and learning English as a second language in an online education environment. The course material is based on The Net Languages Learning Platform, which is available at http：//ide.yok.gov.tr/, and the course level is general English pre-elementary. Both quantitative and qualitative methods were used in this study. For quantitative data collection, a questionnaire was employed to understand the reasons for low student attendance on online courses. For qualitative research method, observation was carried out, and interviews are designed as data collection techniques. Purposive selection was used for selection of the participants. The findings revealed that online education needs to be modified. The students are eager to improve their second language competencies; however, they do not want to waste their time on an easy course level.

Rural Impact Assessment of Agriculture Water Systems in a Climate Change Context

This study is a rapid appraisal procedure （RAP） of two forms of agriculture water delivery systems comprising two canal irrigation schemes and 26 Zimbabwean bush pumps in the Midlands and Masvingo Provinces. A longitudinal multiple data collection technique employed involved various primary and secondary sources including site visits, literature review, observation, interviews with key personnel and group discussions. General findings of this study indicate： （1） the available coping mechanisms in smallholder farming in a climate change context and （2） the challenges faced in the actual delivery of water in terms of design, management, physical and institutional factors. The study provides pragmatic recommendations for overall improvement and performance in a local, technical and socio-economic context through evaluation of the current situation, practices and processes. An integrated approach to addressing climate change impacts should include water management, rehabilitation, complete overhaul and introduction of other relevant water systems and water saving farming techniques. Yet, ownership of these technologies by communities remains instrumental. Rural development and agricultural policies that ensure maximum and full capacity utilisation of water systems to improve rural livelihoods, mitigation and adaptation to climate change are recommended.

Customer Loyalty： An Empirical Study on Italian E-commerce Websites

In contemporary entrepreneurial environment based on customer retention, the growth of the internet has pushed the most dynamic businesses to compete in the electronic market. In literature, there are many studies showing how a company＇s brand affects customer loyalty. Less attention has been paid to the relationship between e-commerce website loyalty and e-customer loyalty. This paper can be included in a stream of research that applies the construct of loyalty to e-commerce. Thus, this study aims to analyze, within the electronic market, the elements influencing and determining the trust and loyalty of the e-customers. This research consists of a descriptive study carried out utilizing the survey method. The population in this study includes 421 e-customers of Italian online multi-brand portals. The instrument of data gathering was a web-questionnaire and the data analysis was based on regression. Findings show a positive relationship between three factors （website technological level, e-service quality, and brand） and e-customer trust. Furthermore, the correlation, among the three variables, trust as mediating variable, and e-customer＇s loyalty, has been revealed. Therefore, it can be basically assumed that trust builds e-customer loyalty.

The Body in Old Age and Dependency： A Territory of Threat and Uncertainty

This paper explores the image of the body in physically dependent elderly men and women and the way in which this image reconfigures their identity creating new meanings. In old age, the body becomes related with illness, with disablement and with its own material finiteness. Representations of the body are thus constructed around pain, deficiency, and fragility. The research was carried out from a qualitative perspective, performing in-depth interviews, with participant observation and a subject ID card as data collecting techniques. The identity of the interviewees who consented to be recorded was protected. The data were analyzed constructing concepts and theoretical and empirical categories with the support of the Etnograph V.5 software for qualitative data. The findings reflect discourses on the body that turn on its deterioration and limitations that prevent old people from functioning adequately in life. Metaphors were identified telling of a sense of＂deteriorated identity＂; most participants saw themselves as ＂a burden＂. They also showed symptoms of annoyance and shame regarding their sick or fragile bodies, as well as a constant memory of the healthy or ＂ideal＂ body of the past, which is hegemonic in our culture.

THRFuzzy:Tangential holoentropy-enabled rough fuzzy classifier to classification of evolving data streams

The rapid developments in the fields of telecommunication, sensor data, financial applications, analyzing of data streams, and so on, increase the rate of data arrival, among which the data mining technique is considered a vital process. The data analysis process consists of different tasks, among which the data stream classification approaches face more challenges than the other commonly used techniques. Even though the classification is a continuous process, it requires a design that can adapt the classification model so as to adjust the concept change or the boundary change between the classes. Hence, we design a novel fuzzy classifier known as THRFuzzy to classify new incoming data streams. Rough set theory along with tangential holoentropy function helps in the designing the dynamic classification model. The classification approach uses kernel fuzzy c-means(FCM) clustering for the generation of the rules and tangential holoentropy function to update the membership function. The performance of the proposed THRFuzzy method is verified using three datasets, namely skin segmentation, localization, and breast cancer datasets, and the evaluated metrics, accuracy and time, comparing its performance with HRFuzzy and adaptive k-NN classifiers. The experimental results conclude that THRFuzzy classifier shows better classification results providing a maximum accuracy consuming a minimal time than the existing classifiers.

Extension of information entropy-based measures in incomplete information systems

It is helpful for people to understand the essence of rough set theory to study the concepts and operations of rough set theory from its information view. In this paper we address knowledge expression and knowledge reduction in incomplete infolvnation systems from the information view of rough set theory. First, by extending information entropy-based measures in complete information systems, two new measures of incomplete entropy and incomplete conditional entropy are presented for incomplete information systems. And then, based on these measures the problem of knowledge reduction in incomplete information systems is analyzed and the reduct definitions in incomplete information system and incomplete decision table are proposed respectively. Finally, the reduct definitions based on incomplete entropy and the reduct definitions based on similarity relation are compared. Two equivalent relationships between them are proved by theorems and an in equivalent relationship between them is illustrated by an example. The work of this paper extends the research of rough set theory from information view to incomplete information systems and establishes the theoretical basis for seeking efficient algorithm of knowledge acquisition in incomplete information systems.

Manifold alignment using discrete surface Ricci flow

Manifold alignment is useful to extract the shared latent structure among multiple data sets and the similarity among different datasets. As many kinds of real world data can be analyzed using low dimensional representations, manifold alignment algorithms can be used in a wide range of applications, such as data mining. In this paper, we propose a three-stage approach to manifold alignment using discrete surface Ricci flow. Our approach transforms the original intrinsic manifolds to hyper spheres using confonnal mapping in the first stage, and then zooms these hyper spheres into the same scale and aligns them in the following stages. We describe in details about our algorithm, its theoretical principles, our experimental results, and the comparison to previous alignment methods. To prove the effectiveness of our algorithm, three kinds of experiments are presented, including a toy dataset, one containing parallel corpus of parliament proceedings and another containing both images and texts. With these experiments, the latent utility in discovering the similarity among different kinds of data sets can be demonstrated, whether within the same kind of data or across different kinds of modals of data.

Research on the On-line Monitoring System of Battery Power

Through the comparison of various acquisition technology and related technology theory of the existing scheme, the paper analyze and design the power battery testing platform of the data acquisition system, and give the research design scheme of the utility model through the design of the software on PC and CAN bus, which makes the full synchronization requirements acquisition unit; improve the linearity and stability of total voltage and current acquisition by the integrated circuit, and improve the system sampling rate, effectively complete the corresponding index. Finally, through experimental verification, to ensure the completion of the technical indicators.

Farmers＇ Evaluation of NERICA Rice Varieties and Adoption Determinants in Nigeria

Farmers＇ evaluation and analysis of the factors determining the adoption of improved farm technology are essential to elicit what varietals characteristics motivate farmers to adopt or reject improved varieties and the technology. The main objective of the study was to elicit farmers＇ criteria for selecting rice varieties and the factors determining adoption of NERICA varieties in the study areas. The data used for this study were collected from 600 farmers in Ekiti, Kaduna, Nassarawa, Ogun, Ondo, and Taraba States of Nigeria through farming household survey conducted from August to September 2009. The main instruments for data collection were well-structured questionnaires administered in each state. This study utilized descriptive statistics, such as means, frequency and percentages; and Tobit regression model were used to analyze the data collected. The results revealed that field days attendance was very low in the study areas and was similar across states; and this may limit their participation in exchange of ideas and in sharing of knowledge and experience of improved technology. The small farm size and subsequently low output could adversely affect rice production in the country and thus prevent the country from attaining self-sufficiency in rice production. Farmers grow an assortment of both local and improved rice varieties and the most important criteria across the states were high yield, tillering and logging resistance. There was progressive increase in the proportion of land given to NERICA rice cultivation since 2004. This suggests that there is increase in the adoption rate of NERICA varieties across states. Level of formal education, farm size, access to credit, rice income, farm income and level of awareness of NERICA varieties positively and significantly determined NERICA rice adoption. Base on these, we recommend that government should aim at policies geared towards providing incentives to encourage all stakeholders to improve productivity in rice production. Incentives, such as provision of micro credit and implementation of subsidy on inputs like fertilizer and seed, would go a long way in boosting rice production in the study area.

Clustering Categorical Data:A Cluster Ensemble Approach

Clustering categorical data, an integral part of data mining,has attracted much attention recently. In this paper, the authors formally define the categorical data clustering problem as an optimization problem from the viewpoint of cluster ensemble, and apply cluster ensemble approach for clustering categorical data. Experimental results on real datasets show that better clustering accuracy can be obtained by comparing with existing categorical data clustering algorithms.

The Acquisition Technique of High-resolution Seismic Data for the Prospecting of Active Faults

The high-resolution shallow seismic technique can be used for more accurately prospecting the position and property of faults and for the preliminary study of fault activity.The author obtains many high quality stack time sections through the prospecting methods of different seismic sources,different group intervals and different observation systems on the Xiadian fault.These sections clearly display the stratum structure and the structure characteristics from several meters to several hundred meters of the Xiadian fault.The resolutions of the different seismic sources,different group intervals and different observing systems are obtained.The prospecting methods and work parameters applicable for goal stratum of different depths and different accuracy requirements are proposed through the analysis of the stack time sections.This lays a good foundation for raising the prospecting resolution of the fault position and the latest active time of the fault.