data link layer protocols and applications
Tài liệu Module 7- Data Link Layer CCNA Exploration 4.0 pptx
... Data H c vi n m ng Bách khoa - Website: www.bkacad.com 30 Data Link Layer Protocols- The Frame • Remember that although there are many different Data Link layer protocols that describe Data Link ... the Data Link layer is often divided into two sublayers: an upper sublayer and an lower sublayer – The upper sublayer defines the software processes that provide services to the Network layer protocols ... chapter, you will be able to: • Explain the role of Data Link layer protocols in data transmission • Describe how the Data Link layer prepares data for transmission on network media • Describe...
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SMART ENVIRONMENTS TECHNOLOGIES, PROTOCOLS, AND APPLICATIONS docx
... Hagit Attiya and Jennifer Welch Smart Environments: Technology, Protocols, and Applications / Diane J Cook and Sajal K Das (Editors) SMART ENVIRONMENTS TECHNOLOGIES, PROTOCOLS, AND APPLICATIONS ... layers The Transport Layer provides error detection and correction Routing and flow control are performed in the Network Layer The Physical Layer represents the actual hardware communication link ... listens for messages and is not responsible for retransmitting any messages 2.2.2 Communication Protocols and Routing The topics of communication protocols and routing are complex and require much...
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Chapter7 - DATA LINK CONTROL PROTOCOLS docx
... Introduction Data link control layer – often abbreviated simply to data link layer – is concerned with the transfer of data over a serial data link The transmission mode may ... instances the data link protocols are located in the two communicating DTEs, and the protocol is said to operate on an end-toend basis In others, data link protocols operates over the local link connecting, ... status and performs both primary and secondary functions 39 Bit-oriented Protocols – HDLC (High-level Data Link Control) Frame format 40 Bit-oriented Protocols – HDLC (High-level Data Link Control)...
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molecular cytogenetics, protocols and applications
... probe mixtures, one for chromosomes 13 and 21, and the other for chromosomes 18, X, and Y The standardized probes and protocols have been proven to be accurate and very sensitive for prenatal diagnosis ... regions (47) Standards and Guidelines for Clinical Applications It is necessary that all cytogenetics laboratories have their protocols and standards established for the clinical applications of ... C (1990) Production of single stranded DNA by asymmetric PCR, in PCR Protocols: A guide to Methods and Applications (Innis, M A., Gelfand, D H., Sninsky, J J., and White, T J., eds.), Academic...
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![mobile opportunistic networks [electronic resource] architectures, protocols and applications](https://media.store123doc.com/images/document/14/y/bp/small_bpf1401472374.jpg)
mobile opportunistic networks [electronic resource] architectures, protocols and applications
... College dataset [15], we evaluated the performance of three “naive” routing protocols (direct-delivery, epidemic, and random) and two prediction-based routing protocols, PRoPHET [19] and Link- State ... performance of opportunistic protocols and applications is another direction of research activity This involves developing, testing, and validating protocols and applications and identifying factors ... that required meta -data transmission during contact The direct-delivery and random protocols had no meta -data transmissions In addition to its message transmissions and meta -data transmissions,...
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ADVANCES IN DATA MINING KNOWLEDGE DISCOVERY AND APPLICATIONS pot
... presents knowledge discovery and data mining applications in two different sections As known that, data mining covers areas of statistics, machine learning, data management and databases, pattern recognition, ... Data Miner (UMDM) for prediction, classification, interpretation and visualization on medical datasets: the diabetes dataset case and the integration of K-means clustering and decision tree data ... of iteration and ‘sp’ dataset and will produce k clusters of the given dataset The function f is illustrated in equation (2) 14 Advances in Data Mining Knowledge Discovery and Applications f...
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Data Analysis Machine Learning and Applications Episode 3 Part 9 docx
... 593 Manni, Franz, 645 March, Nicolas, 439 Marinho, Leandro B., 533 Mehler, Alexander, 653 Meinl, Thorsten, 319 Meißner, Martin, 447 Merkel, Andreas, 553 Messaoud, Amor, 455 Meyer, David, 389 Meyer-Delius, ... Rosaria, 687 Rousson, Valentin, 209 Ruhland, Johannes, 327 Najman Migda , Kamila, 45 Najman, Krzysztof, 45 Naumann, Sven, 637 Nerbonne, John, 645 Neumann, Andreas W., 541 Nunkesser, Robin, 277 ... Klaus B., 515 Schettlinger, Karen, 277 Schierle, Martin, 397 Schiffner, Julia, 69 Schliep, Alexander, 119 Schmidt-Thieme, Lars, 171, 525, 533 Scholz, Sören W., 447 Schröder, Jan, 355 Schulz,...
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Data Analysis Machine Learning and Applications Episode 1 Part 1 doc
... Arabie, and W Gaul (Eds.) Classification, Clustering, and Data Minig Applications 2004 A Rizzi, M Vichi, and H.-H Bock (Eds.) Advances in Data Science and Classification 1998 D Baier and K.-D ... Schader, W Gaul, and M Vichi (Eds.) Between Data Science and Applied Data Analysis 2003 C Hayashi, N Ohsumi, K Yajima, Y Tanaka, H.-H Bock, and Y Baba (Eds.) Data Science, Classifaction, and Related ... Lechevallier, and O Opitz (Eds.) Ordinal and Symbolic Data Analysis 1996 M Schwaiger and O Opitz (Eds.) Exploratory Data Analysis in Empirical Research 2003 R Klar and O Opitz (Eds.) Classification and...
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Data Analysis Machine Learning and Applications Episode 1 Part 2 potx
... training data set with 3000 and a test data set containing 1000 observations 3.2 Results We apply the local classification methods and global LDA to the simulated data sets and obtain 1280 test data ... recognition and machine learning communities due to the modularity of the algorithms and the data representations by kernel functions, cf (Schölkopf and Smola (2002)) and (Shawe-Taylor and Cristianini ... Distributions 1, Models and Applications, 2nd edition John Wiley & Sons, New York NEWMAN, D.J and HETTICH, S and BLAKE, C.L and MERZ, C.J (1998): UCI Repository of machine learning databases [http://www.ics.uci.edu/∼learn/...
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Data Analysis Machine Learning and Applications Episode 1 Part 3 docx
... J.P.R and RESSEL, P (1984): Harmonic Analysis on Semigroups: Theory of Positive Definite and Related Functions, Springer CHANDON, J.L and PINSON, S (1981): Analyse Typologique Théorie et Applications, ... into training and test sets and normalized to minimum and maximum feature values (Min-Max) or standard deviation (Std-Dev) These experiments were run on a computer with a P4, 2.8 GHz and 1G in Ram ... (Bennett and Bredensteiner 2000), (Lee and Mangasarian 2001) used datasets with less than 1000 samples, where the training and testing time are negligible In order to test the performance and speedup...
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Data Analysis Machine Learning and Applications Episode 1 Part 4 pptx
... interval data differs in steps and 2: A symbolic data array containing n objects and m symbolic interval variables is a starting point Identification of Noisy Variables for Nonmetric and Symbolic Data ... motions and parallaxes for the full set of sources This leads to a distinction for the data processing between early mission data, consisting of the spectra and positions, and late mission data, ... nonmetric, mixed, and symbolic interval data The proposed modifications are evaluated for eight clustering algorithms on simulated data from a variety of models 86 Marek Walesiak and Andrzej Dudek...
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Data Analysis Machine Learning and Applications Episode 1 Part 5 pdf
... ultrametric spaces, and ultrametricity is a pervasive property of observational data, and by Murtagh (2004a) this offers computational advantages and a well understood basis for developping data processing ... classification and is pervasive in observational data, the techniques of ultrametric analysis and p-adic geometry are at ones disposal for identifying and exploiting ultrametricity A p-adic encoding of data ... (Eds.): Classification, Clustering and Data Mining, Springer, 3–14 Hard and Soft Euclidean Consensus Partitions Kurt Hornik and Walter Böhm Department of Statistics and Mathematics Wirtschaftsuniversität...
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Data Analysis Machine Learning and Applications Episode 1 Part 6 docx
... procedure in data analysis: new results and open problems In: H H Bock, editor, Classification and related methods of data analysis North-Holland, Amsterdam, 309–316 BOORMAN, S A and ARABIE, P ... three different linkage methods: single-, complete- and average-linkage We report the average F-Measure quality of four runs for each of the linkage techniques and for constrained and unconstrained ... Conference on Knowledge Discovery and Data Mining (KDD-2004) COHEN, W W and RICHMAN, J (2002): Learning to Match and Cluster Large HighDimensional Data Sets for Data Integration In: Proceedings...
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Data Analysis Machine Learning and Applications Episode 1 Part 7 doc
... in the data set not carry meaningful information about the genotypes and vice versa Discussion The clustering of geno- and phenotype data separately yielded interesting partitions of the data For ... times the incomplete data set following specific rules The resulting completed data set is analysed by standard methods and results are combined in order to yield estimates and assessing their ... Di Zio and Ugo Guarnera lows to treat continuous and ordinal data, and in some circumstances also categorical variables However, in Paddok’s paper it is shown that, even with nonnormal data, in...
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Data Analysis Machine Learning and Applications Episode 1 Part 8 ppsx
... regression models After presenting data and objectives (section 2) we outline methodology and results (section 3) and finally give some conclusions (section 4) Data and objectives The University of ... the information and the relationships inherent to the data in an ordered and effective way The data is usually a mixture of subsets of quantitative, categorical (closed questions) and frecuency ... among the set of rows, of columns and the relations between both sets Also cite the non symmetrical analysis (D’ Ambra and Lauro (1984) and Lauro and D’ Ambra (1989)) and more recently the Multiple...
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Data Analysis Machine Learning and Applications Episode 1 Part 9 doc
... Republic, Denmark, Finland, France, Germany, Ireland, Italy, Netherlands, Norway, Poland, Portugal, Sweden and United Kingdom The scientific fields in which they are studying are: Social and Legal Sciences, ... Social and Legal Sciences Area have a different behavior The Netherlands and Ireland are selected as destiny country by males and females but males also go to Belgium, the United Kingdom and Italy ... Vanacore and Jean-Francçois Durand limits (Wu and Wang, 1997; Jones and Woodall, 1998; Liu and Tang, 1996) has been followed Multivariate control charts based on projection methods A standard multivariate...
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Data Analysis Machine Learning and Applications Episode 1 Part 10 ppt
... L and stop ˆ Otherwise let S = S − SL(L SL)−1 L S and go back to step Father’s and son’s occupations data To illustrate the technique of Simple NSCA, we applied it to the well known Father’s and ... contingency tables In: R Coppi and S Bolasco (Eds.): Multiway Data Analysis North Holland, 301–314 LIGHT, R J and MARGOLIN, B H (1971): An analysis of variance for categorical data Journal of the American ... reconsidered and then the results based on this alphabet are depicted Finally additional results are shown 4.1 Data The data used for our monophonic and polyphonic studies are real audio data from...
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Data Analysis Machine Learning and Applications Episode 2 Part 1 pot
... References ANDERSON, C R., DOMINGOS, P and WELD, D A (2002): Relational Markov models and their application to adaptive web navigation Proc of the International Conference on Knowledge Discovery and Data ... xdel Search in X for xdel and determine its rank i and the elements bs and bg pointed at Determine y( j) and y( ) with the help of the pointers such that bs = x(i) + y( j) and bg = x(i) + y( ) Find ... the matrix B for data set (left) and (right) and a linear downward trend in the final third occur The reason to look at this data set is to analyze situations with shifts, trends and trend changes,...
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Data Analysis Machine Learning and Applications Episode 2 Part 2 ppsx
... label A and can only be accepted by Sa () and Sb () The third temporal interval has label B and can be accepted by Sc () and Sd () It also stands to the first A in the relation after and to the ... 2001), FSG (Kuramochi and Karypis 2001), MoSS/MoFa (Borgelt and Berthold 2002), gSpan (Yan and Han 2002), Closegraph (Yan and Han 2003), FFSM (Huan et al 2003), and Gaston (Nijssen and Kok 2004) A ... conduct the Wald test for and : W = ˆ / ˆ and W = ˆ / ˆ , where ˆ and ˆ are the estimates of the general model under consideration, and ˆ and ˆ are the estimated standard errors thereof Note...
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Data Analysis Machine Learning and Applications Episode 2 Part 3 pps
... stringranking() Candidate record pairs from data frames data1 and data2 are created and filtered according to the specified method (default: 'blocking') In case of a deduplication scenario, data2 does ... code of last name retains only 83 candidates > candidates (data1 =d1.prep, data2 =d2.prep, method='blocking',selvars1='asoundex.lname') > candidates (data1 =d1.prep, data2 =d2.prep, method='sorted', selvars1=c ... segmentation and classification results obtained for the skin cancer data set and Section is devoted to discussions and conclusions Labelling Hyper-spectral data are highly correlated and contain...
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