數據中斷 的英文怎麼說
中文拼音 [shǔjùzhōngduàn]
數據中斷
英文
data interrupt-
The ids of the paper is network - based anomaly detection system. with the help of data mining technology, we bring forward a measure to describe the normal state of the network traffic and user behavior and extracting the useful rule from large network data. so we can establish the knowledge warehouse which describe the normal state of the network traffic and user behavior. the knowledge warehouse can be the standard in order to judge the normal state. we can find the dubitable connections according to account the state and anomly instances of connections
論文在描述網路應用和用戶行為時採用數據挖掘技術從海量的網路數據中提取有用的規則,構建了一個描述正常狀態下的網路應用和用戶行為的規則集,這個規則集是用來判斷網路應用和用戶行為是否正常的標準,論文根據這個標準分析當前網路連接的異常情況,將可疑的連接找出來。Abstract : since the multiple failures situation is not uncommon in the clinical medicine, we explore the use of proportional odds model to the multivariate interval - censored data. the approach is based on the conditional logistic regression, which prevents the complications in the existence of nuisance parameters. the estimation of parameters is obtained by the newton - raphson algorithm. the sandwith estimator for the covariance is made according to the situation where there is correlation in the score statistic. simulations are also presented to assess the accuracy of the procedure
文摘:探索比例優勢模型在臨床醫學中常見的多結局區間截斷數據中的應用.用條件的邏輯回歸方法避免討厭參數的估計,用牛頓-拉普森演算法估計回歸系數,用"夾心方差"估計量作為參數方差的估計.通過隨機模型檢驗模型應用的有效性Aiming at the relativity between repeated or similar samples and characteristic parameters during diagnosis of characteristic data, an effective data analysis approach for characteristic data compression from bi - direction is presented, which can reduce the burden of learning machine without losing the connotative characteristic knowledge of characteristic data
摘要對診斷特徵數據中重復或相似事例樣本和特徵參量之間可能針存在的相關性,提出一種有效的特徵數據雙向壓縮預處理方法,該法在不損失數據隱含的特徵知識的前提下,能有效降低學習機器的學習負擔。The new algorithm starts from an initial estimate which is based on the hough transform, and a rectangular window is centered using the current line approximation, and a new line estimation is generated by making a total least squares fit through the pixels contained within the window. this is repeated until convergence is reached. lastly, we have suggested a new technique which may recover the motion and structure parameters of a moving object by using of 21 optical flow lines based on the optical flow fields of the feature line this thesis is the project supported by aeronautical foundation science ( no. 99f53065 ) and research center of measuring and testing technologies, and control engineering in nanchang institute of aeronautical technology ( no. 2001 - 15 )
演算法的思路是:首先,在小區域內運用霍夫變換確定直線的初始值;其次,以直線的初始值所對應的直線為中心線,建立一個矩形框;最後,利用矩形框內所包含的邊緣點數據不斷地迭代直至收斂,從而達到進一步修正直線的坐標參數;本文基於特徵直線的光流場,即線流場,建立了一種利用21條光流線確定空間三維物體旋轉運動參數、平移運動參數以及對應的空間直線坐標的線性演算法。In the current cycle, there has been no big splurge on business investment ? indeed, judging by the latest data on america ' s durable - goods orders, it might even be weakening
在現在這個周期中,企業的投資還沒有出現明顯過度的跡象? ?事實上,由最新的美國耐用商品訂單數據判斷,投資可能在衰減。In order to avoid matching the fault symptoms with the identification conditions artificially, ( fuzzy ) neural network was designed for diagnosis according to the optimal decision system. for the continuous quantitative diagnosis data such as the measurement, and the result of signal processing, a new hybrid system of self - organizing map ( som ) / fuzzy c - means ( fcm ), rough sets theory, and adaptive neuro - fuzzy inference system ( anfis ) was presented. firstly, the continuous attributes in diagnosis decision system were discretized with som or fcm
對于連續的定量故障診斷數據(監測數據) ,以4135柴油機為例,提出了自組織映射( som )模糊c -均值( fcm ) ?粗糙集?自適應模糊神經網路推理系統( anfis )集成的具體故障診斷實施方案:首先,應用som或fcm離散故障診斷數據中的連續屬性值;然後,基於粗糙集理論應用遺傳演算法計算診斷決策系統的約簡,按照實際需要確定診斷條件;最後,根據系統約簡設計anfis進行故障診斷。The research objective is to improve the control system performance through the combination of the advanced control strategy with the meaningful information mined from the history operation database. firstly, a new solution for the control performance enhancement is presented by the reference of the kdd technology. aiming at practical application, a novel boiler load control method, which combines the multiple model adaptive control strategy with the data mining technology, is put forward in this dissertation
本文第一部分為熱工過程式控制制與數據信息採掘,研究的重點是通過先進控制策略的應用以及運行數據中發掘的有用信息,提高現有典型熱工過程式控制制系統的性能,內容包括:首次提出了借鑒數據信息採掘技術的思路和方法,用於完善現有的熱力系統優化控制方案;在此基礎上結合生產實際,提出了運用多模型自適應策略實施鍋爐負荷控制,並利用關聯規則的數據信息採掘方法,通過對燃料發熱量信息的在線診斷,優化控制器結構,同時實現鍋爐燃燒配風的自適應調整,提高負荷、燃燒控制系統性能。According to the distribution of local impulse noise, an adaptive chord deviation method is used to avoid redundant detection or missing of impulse noise at the quick rising, descending or broken line area of data set
摘要針對現有脈沖噪聲濾波演算法在處理大斜率區域和斷線型激光掃描數據中存在的多判和漏判問題,提出了一種有效檢測脈沖噪聲的方法。" there is scientific evidence to show that rest days are effective in reducing the overall virus load and in breaking the virus cycle in the markets, " the spokesman added
發言人補充:科學證據顯示,休市清潔日能有效減少病毒的數量,中斷禽流感病毒的滋生周期。So, it is a concerned problem for local technicians and control engineers that how to obtain the performance information of the controllers from the operating data so that the performance problem can be recognized and diagnosed early
因此,如何從生產過程的日常運行數據中獲得一些有關控制器的性能信息,從而能夠早期識別、診斷控制器的性能問題是現場工藝和控制人員都很關心的問題。On the basis of fully analyzing current algorithms for mining frequent episodes from telecommunication alarm data, the thesis extends the current episodes rule discovery algorithm and makes it capable to find episodes rule with two - time bound and can be applicable for large set database. in order to make the discovered patterns fit for fault detection, mining multi - dimension episodes is proposed in the thesis
論文在充分分析目前電信告警數據中的頻繁情節挖掘演算法的基礎上,針對故障診斷需要,提出了挖掘多維頻繁情節,使之能夠挖掘出具有兩個時間界限的頻繁情節規則,同時適合於大數據集挖掘。With the constant deepening of the housing system reformation, housing becoming commodity has striken root in the hearts of the people, and more and more commodity houses have begun to exceed the deadline of maintenance. therefore, the problems about the maintenance of the public sections facilities and equipment will influence the development of housing industry and the settlement of the society. it ' s quite important to build maintenance fund ' in time and manage it efficiently and the importance will be very striking. hence, it is taken for granted to expect to exploit housing maintenance fund management system and analyze the valuable knowledge through the systematic data to guide the governmental decisions
隨著住房制度改革的不斷深化,住房商品化已經深入人心,越來越多的商品房開始超過保修期,公共部位、設施設備的維修問題會影響到房地產業發展與社會安定。及時建立維修基金並對維修基金進行有效管理的重要性顯得非常突出。開發房屋維修基金管理系統,並從系統數據中分析出有價值的知識用以指導政府決策也是理所當然的期望。Xiao - bo fan, ting - ting xie, cui - ping li, and hong chen school of information, renmin university of china, beijing 100872, china key laboratory of data engineering and knowledge engineering, moe, beijing 100872, china
由於數據採集設備的不斷發展,人們可以非常方便地獲得各種各樣的數據在這些數據中有一類特殊的數據-流數據,越來越受到更多的人的關注。The aims of this dissertation include : try to solve problems in rough set based knowledge discovery and machine learning ; build up knowledge model for complex industrial processes ; following the concepts and approaches of nonlinear system control, construct a control system framework based on rough state space ; apply rough set theory to fault detection and diagnosis ( fdd ). the main contributions of the dissertation are as follows : 1 reviewed the developments and research situation of rough set theory
本文的主要目的是試圖解決粗糙集在知識獲取、機器學習以及工業生產實際運用中所遇到一些主要問題,利用粗糙集在分析處理不完全、不精確和不一致數據中所具有的優勢,對復雜工業過程進行基於規則的非機理知識建模,在規則模型的基礎上,結合現代控制理論中的有關概念和方法,構造粗糙控制的初步框架,並將粗糙集方法運用於故障診斷。Based on the actual background of jinhua electric power and the application level of business intelligence ( bi ) technology, the construction objective supplementary decision system of operational analysis in jinhua electric power is determined. the useful data acquired by etl tools will be concentrated in data warehouse or data markets. decision proposal will be made on electric equipments maintenance, reactive power control, electric line operational analysis, equipment defect prevention and control and electric power fault diagnosis by adopting dw, olap and dm technologies
針對金華電網運行生產的實際情況,結合當今業務智能技術( bi )的應用水平,金華電網運行分析輔助決策系統的建設目標是:在全局數據中心集中存儲和管理經過清洗、抽取后各種有用信息,並在數據集中的基礎上,採用數據倉庫( dw ) 、聯機事務分析( olap )和數據挖掘( dm )等技術對大量的數據和信息進行分析和挖掘,提出有益於電力設備檢修、電壓無功優化、線路運行分析、缺陷預控和故障診斷等的決策建議。The idea is to prevent the attacker from deducing information from repeated patterns in the encrypted data
用於防止攻擊者根據加密數據中的重復模板推斷信息。After creating a logical datacenter diagram, the infrastructure architect can version the diagram throughout the application development life cycle to keep it current with datacenter design changes
創建完邏輯數據中心關系圖之後,基礎結構設計師可以對整個應用程序開發生命周期的關系圖進行版本化處理,以便使用數據中心設計更改對其進行不斷更新。Although internet data center ( idc ) has not an authoritative definition, it has a deeper connotation than traditional data center. with the development of internet, it arises to supply icp, enterprises, media and all sorts of web sites with the businesses that large - scale, high quality and security, professional servers trusteeship, space rent, network whole sale band width and asp
雖然網際網路數據中心( idc )還沒有一個權威的定義,但它比傳統的數據中心有著更深層次的內涵,它是伴隨著網際網路不斷發展的需求而發展起來的對為icp 、企業、媒體和各類網站提供大規模、高質量、安全可靠的專業化服務器託管、空間租用、網路批發帶寬以及asp等業務。Using the data in the following table, which activity has the most slack / float
利用下表中的數據,判斷何種活動具有最多的浮動時間?When such data mining methods are used hi fault diagnosis field based on a mass of fault data about machinery state, significant information can be discovered and be showed as visible rules and decisive conclusions for diagnosis be acquired from these rules
應用於故障診斷領域,對大量的機組狀態數據進行挖掘,發現故障數據中存在的規律,以規則的形式體現出來,可以為故障診斷提供決策依據。利用轉子實驗臺的模擬故障數據對提出的方法進行考核。分享友人