grouping data using arrays and hash tables
Android chapter18a reading XML data Using SAX and W3C Parsers
... xmlns:android="http://schemas.android.com/apk/res/android" android:orientation="vertical" android:layout_width="fill_parent" android:layout_height="fill_parent"> ... xmlns:android="http://schemas.android.com/apk/res/android" android:layout_width="fill_parent" android:layout_height="fill_parent" android:orientation="vertical" android:background="#ff0000ff">
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Method for removing motion artifacts from fNIRS data using ICA and an acceleration sensor
... sensor data for identifying the motion artifact[12] The acceleration a is compared with the ICA-separated signal a is calculated from the three-axis acceleration data using (1) Here, x, y, and z ... (s) and 90 (s) from the start of the measurement, when the motion artifact was made The experiment not considering the time delay in the fNIRS data was performed first ICA was executed using data ... fNIRS data was then performed with the same data B Results The results obtained without considering the time delay are shown below Figure shows the ICA-separated signals, and Fig shows the fNIRS data...
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3 Using Data Guard Broker and Enterprise Manager
... Broker-controlled databases Primary database Instances 3-6 Standby database Standby database Standby database Standby database Standby database Standby database Standby database Standby database Standby database ... the standby databases to replace the primary database and take over production processing • Helps you logically define and create a Data Guard configuration consisting of a primary database and ... and managing standby databases • Command-line interface (CLI): – Started by entering DGMGRL at the command prompt where the Oracle server is installed – Enables you to control and monitor a Data...
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Tài liệu Add, Edit, and Delete Data Using the DataGrid Control doc
... OnUpdateCommand="dgRegion_UpdateCommand" OnCancelCommand="dgRegion_CancelCommand" OnEditCommand="dgRegion_EditCommand" OnDeleteCommand="dgRegion_DeleteCommand" >
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Tài liệu Chapter 9 Using Telephone and Cable Networks for Data Transmission pptx
... in this section: Bandwidth Sharing CM and CMTS Data Transmission Schemes: DOCSIS 9.30 Figure 9.16 Division of coaxial cable band by CATV 9.31 Note Downstream data are modulated using the 64-QAM ... Standards 9.10 Figure 9.6 Telephone line bandwidth 9.11 Note Modem stands for modulator/demodulator 9.12 Figure 9.7 Modulation/demodulation 9.13 Figure 9.8 The V.32 and V.32bis constellation and ... Note The tasks of data transfer and signaling are separated in modern telephone networks: data transfer is done by one network, signaling by another 9.7 Figure 9.4 Data transfer and signaling networks...
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Tài liệu Báo cáo khoa học: "Learning with Unlabeled Data for Text Categorization Using Bootstrapping and Feature Projection Techniques" doc
... Projection Technique for Handling Noisy Data of Machine-labeled Data We finally obtained labeled data of a documents unit, machine-labeled data Now we can learn text classifiers using them But since ... In related works, we presented two approaches using unlabeled data in text categorization; one approach combines unlabeled data and labeled data, and the other approach uses the clustering technique ... OurMethod(basis) denotes the Naive Bayes classifier using labeled contexts and OurMethod(NB) denotes the Naive Bayes classifier using machine-labeled data as training data The same manner is applied for other...
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Tài liệu Báo cáo khoa học: "Chinese Word Segmentation without Using Lexicon and Hand-crafted Training Data" pdf
... co-occurrence probability of x and y, and p(x), p(y) are the independent probabilities of x and y respectively As claimed by Church(1991), the larger the mutual information between x and y, the higher the ... v, x, y and w: (1) tsv,y(x) > tsx,w(y ) < (x tends to combine with y, and y tends to combine with x) ==> dts(x:y) > ® ® In this case, x and y attract each other The location between x and y should ... Principle economy 2.1 Mutual information and difference of t-score between characters Mutual information and t-score, two important concepts in information theory and statistics, have been exploited...
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Báo cáo khoa học: "Boosting Statistical Word Alignment Using Labeled and Unlabeled Data" ppt
... set RT for the training data; The reference sets RL and RU ( R L , R U ⊆ RT ) for the labeled data S L and the unlabeled data S U respectively, where S T = S U ∪ S L and S U ∩ S L = NULL ; A ... alignment as a case study 5.1 Data We have two kinds of training data from general domain: Labeled Data (LD) and Unlabeled Data (UD) The Chinese sentences in the data are automatically segmented ... Labeled Data and Unlabeled Data count (ei , f j ) i 3.2 (7) = λ ⋅ PrS (a, f | e) + (1 − λ ) ⋅ PrU (a, f | e) (8) Where PrS (a, f | e) and PrU (a, f | e) are the trained supervised model and unsupervised...
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Báo cáo khoa học: "Randomized Algorithms and NLP: Using Locality Sensitive Hash Function for High Speed Noun Clustering" pdf
... b)mod p where, p is prime and < a < p , ≤ b < p, and a and b are chosen at random We apply q different random permutation for every vector (by choosing random values for a and b, q number of times) ... vectors and randomly permute them (see Appendix A for more details on random permutation functions) A random permutation can be considered as random jumbling of the bits of each vector2 A random ... increasing the value for beam B and number of random permutation q , the accuracy of the search algorithm increases For example in Table by using a beam B = 100 and using 1000 random bit permutations,...
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pro data visualization using r and javascript
... archaeologists, we are sifting through the raw data to uncover the story Visualize Data Once we’ve analyzed the data and understand it (and I mean really understand the data to the point where we are conversant ... just charts and graphs Whatever you call it, the goal of visualizing data is to tell the story in the data Telling the story is predicated on understanding the data at a very deep level, and gathering ... (http://flowingdata.com/about/) is appropriately the following: “FlowingData explores how designers, statisticians, and computer scientists use data to understand ourselves better—mainly through data visualization.”...
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Querying Data by Using Joins and Subqueries ppsx
... based on the common column NIIT Querying Data by Using Joins and Subqueries 3.15 Querying Data by Using Subqueries While querying data from multiple tables, you might need to use the result of ... result set can obtain data from different tables To retrieve data from multiple tables, the SQL Server allows you to apply joins Joins allow you to view data from related tables in a single result ... Engineers NIIT Querying Data by Using Joins and Subqueries 3.27 Summary In this chapter, you learned that: Joins and subqueries are used to retrieve data from multiple tables An inner join combines...
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Báo cáo y học: " Cluster analysis in severe emphysema subjects using phenotype and genotype data: an exploratory investigation" doc
... out the data analysis and drafted the manuscript EKS conceived and designed the study, and assisted in data analysis and interpretation GRW and EAH generated the CT data TH and NL assisted in the ... analysis GJC, EAH, and FJM participated in generating the data and in data analysis JJR helped design the study and assisted in data analysis All authors read, helped revise, and approved the final ... capacity, and lower diffusing capacity, along with a lower six minute walk distance and maximum work Consistent with the radiographic clustering and the factor loadings, CT emphysema severity and apical-basal...
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Báo cáo sinh học: "Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing map" ppt
... measurement and coelution with authentic standards Data processing The raw mass spectrometry data of all samples were processed (deconvolution, alignment, deisotoping and data reduction) using the ... of marker candidates used in the case study The data file dataset837.csv contains the marker candidates used for clustering and visualization Rows correspond to particular marker candidates The ... marker candidates (prototype 1) over time stable candidates (prototypes 5–7) towards very early enhanced and transient marker candidates (prototype 9) can be observed Thus, block A represents candidates...
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Báo cáo dịch nội dung tài liệu data structures using c and c++
... phần cứng máy Chúng ta thấy integers, floats, and characters thực phần cứng Bin double xác số dấu phẩy Có ba vòng áp dụng cho số nguyên: short, long and unsigned Một biến số nguyên dài hay ngắn ... seq3; /* squence of length */ /* consisting of an integer, */ /* a character and a */ /* floating-point number */ abstract typedef intseq; /* sequence of 10 integers ... thước nhớ máy có hạn Do đó, kiểu liệu "integer" thể phần cứng mà kiểu liệu " “integer 15 be-tween x and y” " x y số nguyên nhỏ lớn biểu diễn máy Quan trọng nhận biết hạn chế triển khai thực cụ thể...
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Solving big data problems from sequences to tables and graphs
... 3.3.1 Data Driven Center (DDC) 66 3.3.2 Data Driven Random (DDR) 69 3.3.3 Restricted Data Driven (DD1C and DD1R) 70 3.3.4 Materialized Data Driven Random ... of Data Scientist to deal with these complex analyses and come up with a solution in solving big data problems A recent study showed that data scientist is on high demand for the next years and ... tuples and its attributes For example, a table in the SkyServer dataset has 466 columns and 270 million rows [64] New datasets may arrive periodically and the queries imposed on scientific data...
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Left ventricle segmentation using data driven priors and temporal correlations
... 3.2 and 3.3, down-sampled version of datasets acquired from native and transplanted rats are illustrated The actual dataset normally consists of 10 slices (each column shown in Figs 3.2 and 3.3 ... space, 3) extract the data- driven priors, 4) establish temporal correspondences, and 5) energy formulation and optimization Details on the extraction of data- driven priors and the construction ... ventricle endocardium and epicardium segmentation results obtained by the proposed method respectively achieve 87.1 ± 2.61% and 87.79 ± 3.51% average area similarity and 83.16 ± 8.14% and 91.19 ± 2.78%...
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Báo cáo y học: "Comparison of osteogenic potentials of human rat BMP4 and BMP6 gene therapy using [E1-] and [E1-,E2b-] adenoviral vectors"
... (Lanes 1, and 3), BstXI (Lanes 4, 5, and 6), and BglII plus EcoRV (Lanes 7, 8, and 9) M, 1-kb DNA ladder Lanes 1, 4, and 7, 293A cells; Lanes 2, 5, and 8, ADrBMP6 DNA; Lanes 3, 6, and 9, ADhBMP6 ... thigh and 1.4 × 1011 particles in the other thigh) On Day 35, the rats were euthanized and scanned using CT Axial CT images (1-mm collimation and 1mm table increment) were obtained using the standard ... BMP4 and BMP6 cDNAs were amplified, cloned, sequenced, and identified Recombinant adenoviruses encoding rat BMP4 and BMP6 were constructed and compared with ADhBMP4 and ADhBMP6 in the in vitro and...
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Báo cáo y học: "Comparison of Classical and Clozapine Treatment on Schizophrenia Using Positive and Negative Syndrome Scale of Schizophrenia (PANSS) and SPECT Imaging"
... passivity and apathy, difficulty in abstract thinking, lack of spontaneity and flow of conversation, and stereotyped thinking (N1 to N7); and health concerns, anxiety, guilt, tension, mannerisms and ... medications and reduce delusion and hallucination By contrast, drugs such as amphetamine reinforce signal transmissions by dopamine and induce schizophrenic symptoms such as delusion and hallucination ... a single image that combines anatomy and physiology Three dimensional surface and volume- rendered images add perspective and facilitate the localization and sizing of lesions Systems should...
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Automatic text extraction using DWT and Neural Network
... sequences using DWT and neural network DWT decomposes one original image into four sub-bands The transformed image includes one average component sub-band and three detail component sub-bands Each ... operation and the final resulted 2-D Haar DWT is shown in Figure 3(c) 2-D Haar DWT decomposes a gray-level image into one average component sub-band and three detail component sub-bands From ... 8(a) are decomposed into one average component sub-band and three detail component sub-bands as shown in Figure 8(b) Those detail component sub-bands contain the key features of text regions According...
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