关键词： 统一数据交换平台   决策支持   多维数据集   信息化管理   预警  

摘要： 在统一数据交换平台下,跨业务跨部门的多维多层关联规则的挖掘,必将为学校各方面工作的整体规划和协同协作提供有价值的决策依据,以实验教学设备的管理为例,详细介绍了系统设计框架,整体数据架构和多维数据模型,选取多维数据立方体,得到多维关联规则,建立实验设备的决策支持与预警平台,分析所获取的部分关联规则,对实验教学管理部门、设备管理和采购部门的决策分析、对建立健全教师实验教学能力考评和设备维保服务体系提供支持与参考。

关键词： 管理会计   大港油田   经济效率   价值创造   决策支持   控制评价   有用性  

摘要： 管理会计要发挥"效率提升,价值创造"的作用,需要整合运用预测与决策的经济分析工具,增强规划与控制能力,提升分析与评价水平。管理会计在管理实践中的应用方法涉及信息平台、技术工具、决策支持、改善实施等方面。大港油田在管理实践中探索了管理会计的创新应用,构建决策支持系统,确立"效率目标";借助"互联网+"信息化技术,动态跟踪"效率目标"运行状态;选择适合的分析技术,展开"效率目标"实现的财务分析。有别于财务会计,管理会计要发挥决策的有用性和实施的有效性,为各方决策博弈创建管理会计工具;以决策控制评价为核心,为企业提供持续性赢利能力决策的量化支撑。

摘要： The study proposes the way of data organization to store the information obtained as the result of measurements of morphological structures of prostate gland preparations in the computer microscopy system. The proposed data structure provides fast access to object features in interactive analysis of preparation images during oncologic diagnostics of prostate gland diseases.

关键词： 企业客户   资金往来   大数据   决策支持  

摘要： 商业银行的企业客户在账户流水交易行为体现了企业之间的资金往来关系,说明了企业在其经营生态领域中的社会关系和社交网络关系,利用大数据技术对其分析,可以帮助银行客户经理很清晰的了解和掌握客户的上下游、行业相关性、价值密度等,从而为客户经理的营销和客户服务提供重要的决策支持。

关键词： decision support systems   Expert Opinion   American Society of Civil Engineers (ASCE)   Reservoir operation   historical data   Operating systems   Civil engineers  

摘要： This paper presents a collaborative framework to couple historical records with expert knowledge and criteria to define a decision support system (DSS) that supports the seasonal operation of the reservoirs of the Jucar River system. The framework relies on the codevelopment of a DSS tool that is able to explicitly reproduce the decision-making processes and criteria considered by the system operators. Fuzzy logic is used to derive the implicit operating rules followed by the managers, and is based on historical decisions and expert knowledge obtained in the codevelopment process, combining both sources of information. Fuzzy regression is used to forecast future inflows based on the meteorological and hydrological variables considered by the system operators in their decisions on reservoir operation. The DSS was validated against historical records. The developed framework and tools offer the system operators a way to predefine a set of feasible ex ante management decisions, and to explore the consequences associated with any single choice. In contrast with other approaches, the fuzzy-based method used in this study is able to embed inflow uncertainty and its effects in the definition of the decisions on the system operation. Furthermore, the method is flexible enough to be applied to other water resource systems. (C) 2016 American Society of Civil Engineers.

关键词： Computer aided diagnosis (CAD)   Region of interest(s) (ROIs)   Magnetic resonance (MR)   Artificial neural network (ANN)   Graphical user interface (GUI)  

摘要： The iso, hypo or hyper intensity, similarity of shape, size and location complicates the identification of brain tumors. Therefore, an adequate Computer Aided Diagnosis (CAD) system is designed for classification of brain tumor for assisting inexperience radiologists in diagnosis process. A multifarious database of real post contrast T1-weighted MR images from 10 patients has been taken. This database consists of primary brain tumors namely Meningioma (MENI-class 1), Astrocytoma (AST-class 2), and Normal brain regions (NORM-class 3). The region of interest(s) (ROIs) of size 20 x 20 is extracted by the radiologists from each image in the database. A total of 371 texture and intensity features are extracted from these ROI(s). An Artificial Neural Network (ANN) is used to classify these three classes as it shows better classification results on multivariate non-linear, complicated, rule based domains, and decision making domains. It is being observed that ANN provides much accurate results in terms of individual classification accuracy and overall classification accuracy. The four discrete experiments have been performed. Initially, the experiment was performed by extracting 263 features and an overall classification accuracy 78.10% is achieved, however, it was noticed that MENI (class-1) was highly misclassified with AST (class-2). Further, to improve the overall classification accuracy and individual classification accuracy specifically for MENI (class-1), LAWs textural energy measures (LTEM) are added in the feature bank (263+108=371). An individual class accuracy of 91.40% is obtained for MENI (class-1), 91.43% for AST (class-2), 94.29% for NORM (class-3) and an overall classification accuracy of 92.43% is achieved. The results are calculated with and without addition of LTEM feature with Principle component analysis (PCA)-ANN. LTEM-PCA-ANN approach improved results with an overall accuracy of 93.34%. The texture patterns obtained were clear enough to differentiate

关键词： 2205 duplex stainless steel   316L austenitic stainless steel   Weld dilution   Shielded metal arc welding  

摘要： There are many industrial situations particularly in petro-chemical, marine, power plant and other such industries where the use of dissimilar metal weldments is necessary, mainly due to economic benefits and also sometimes to improve the performance of the component. Both austenitic stainless steels and duplex stainless steels have received much attention in recent days due to their superior anti-corrosive and mechanical properties. Further, the use of shielded metal arc welding (SMAW) process is inevitable in engineering industries. In the present work, microstructure, mechanical and intergranular corrosion behavior of dissimilar 2205 duplex stainless steel and 316L austenitic stainless steel fabricated by SMAW process using E2209 electrode by taking two different heat input (0.45-0.60 kJ/mm) was investigated. The microstructures were characterized by using optical microscopy and scanning electron microscopy (SEM), while the localized chemical information was obtained by an energy dispersive spectrometer attached to the SEM. Double loop electrochemical potentiokinetic reactivation test was performed to quantitatively assessing the intergranular corrosion based on degree of sensitization. The effect of weld dilution on mechanical properties (i.e. tensile/hardness properties) was also studied. The ferrite content was experimentally measured by using ferritoscope and it was observed that the weld joint achieved the required ferrite content for both the heat inputs. Higher ferrite content (results of faster cooling rate) increased the hardness and tensile strength of low heat input as compared to high heat input. While, high heat input improved the corrosion resistance due to formation of higher austenitic phases. Higher impact energy was observed in E2209 weld metal than that of the base metals. No welding defects were observed and recommended for industrial use.

关键词： Decision Support System   Intelligent Energy Management   Thermal Comfort Validator   Energy Reduction   Buildings   Web Applications  

摘要： The main objective of this paper is to present a transparent Decision Support System (DSS) for the energy managers of buildings, which can assist them in setting indoor temperature set point, based on the feedback received by the occupants. Within the proposed DSS, the Thermal Comfort Validator (TCV) tool is introduced, a fully responsive and cross-platform web-app which exploits the Predicted Mean Vote comfort theory by considering real-time feedback of the occupants. The TCV facilitates the detection of the range of accepted temperature inside a building, by correlating "real" with "predicted" thermal comfort, to overcome the limits of the standardized approaches. The proposed system can reveal an important potential for achieving energy savings by means of dynamic event driven data collection and processing, while ensuring high levels of comfort.

摘要： The eight-channel high-voltage power supply system based on using the Wenzel Elektronik N1130 module is described. The characteristics of 8DAC-12 and 8ADC-14 types control modules of CAMAC standard designed for high-voltage systems are presented. This system was successfully used to provide the power supply of scintillation detectors in the experiments on the study of the structure of light nuclei at JINR Nuclotron.

关键词： Fast-ICA algorithm   LSC-DSSS signal   Multi-user   PN sequence   Triple correlation properties  

摘要： Aiming at the problem of blind estimation of Pseudo-random (PN) sequences in multi-user long scrambling code direct sequence spread spectrum (LSC-DSSS) signals, in this paper, we proposed a novel PN sequences estimation method based on Fast-ICA algorithm and third-order statistics. The received signal is firstly divided twice into segments and then the segments are transformed into several array signal block matrixes based on the periodicities of scrambling codes and spreading codes. Every user’s PN sequence is separated segment-by-segment using Fast-ICA algorithm, and those segments are assembled sequentially into fuzzy sequences. Finally, all the scrambling codes and spreading codes are estimated from the fuzzy sequences based on the triple correlation properties of m-sequences. The simulation results show the excellent performance of the proposed method. © 2017 Journal of Communications.