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LOCAL INSERTION SORT REVISITED 2nd

LOCAL INSERTION SORT REVISITED

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2ND INTERNATIONAL SYMP ON OPTIMAL algorithmS

作者： KATAJAINEN, J LEVCOPOULOS, C PETERSSON, O Department of Computer and Information Science Linköping University Linköping S-58183 Sweden Department of Computer Science University of Turku Lemminkäisenkatu 14A Turku SF-20520 Finland

ISBN: (纸本)3540518592

Two measures of presortedness, Dist(X) and logDist(X), are presented. The measures are motivated by a geometric interpretation of the input sequence X. Using these measures, an exact characterization of the local insertion sort algorithm of Mannila is achieved. Variants of local insertion sort, using many fingers (i.e., pointers into a finger search tree) instead of only one, are suggested. The number can either be fixed beforehand or dynamic, i.e., vary during the sorting process. Different strategies for moving the fingers yield different algorithms. Some general conditions which all strategies should satisfy are stated, and two such strategies are given. Furthermore, a method for designing dynamic algorithms that allocate an optimal number of fingers is provided. For any specific strategy satisfying our conditions, this method yields an optimal algorithm. © Springer-Verlag Berlin Heidelberg 1989.

关键词： Finger search trees Geometric interpretation Local insertion sort Measures Presortedness sorting algorithm

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Evaluations of a multiple SOMs method for estimating missing values 7

Evaluations of a multiple SOMs method for estimating missing...

引用

IEEE/SICE International Symposium on System Integration (SII)

作者： Arima, Kouki Okada, Nobuhiro Tsuji, Yasutaka Kiguchi, Kazuo Kyushu Univ Grad Sch Engn Fukuoka 812 Japan Univ Kitakyushu Fac Environm Engn Kitakyushu Fukuoka Japan

ISBN: (纸本)9781479969449

Data mining, which is a technique to extract variable information from enormous data, becomes more and more important. Real data often has missing values. Therefore, a method for estimating the missing data is required in application of data mining. Using multiple self-organizing maps (MSOM) proposed by Kikuchi et al. is one of such estimating method. This method does not need a concrete mathematical model and is also available for nonlinear data. However the performance for various missing patterns were unclear, in addition, the comparisons with conventional imputation methods were not provided. This paper demonstrates the performance and the comparison results through simulation experiments with various missing patterns and conventional methods.

关键词： data mining self-organising feature maps MSOM concrete mathematical model imputation methods missing values estimation multiple SOM method multiple self-organizing maps nonlinear data Accuracy Classification algorithms Data mining Data models Educational institutions Neurons Vectors data mining self-organising feature maps sorting algorithm data models Educational institutions Mathematical Model missing value Neurons

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Highly scalable asynchronous trigger system for PET using UDP/IP

Highly scalable asynchronous trigger system for PET using UD...

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IEEE Nuclear Science Symposium/Medical Imaging Conference (NSS/MIC)/18th International Workshop on Room-Temperature Semiconductor X-Ray and Gamma-Ray Detectors

作者： Hines, K. E. Rissi, M. Bolle, E. Rohne, O. Univ Oslo N-0316 Oslo Norway

ISBN: (纸本)9781467301206

Asynchronous coincidence triggering in PET can be realized by using UDP over 1 Gbps Ethernet. This will bypass problems related to point-to-point connections and treestructures in real-time coincidence trigger units. By using UDP over Ethernet, the trigger system is easy to scale, and off-the-shelf components can be used. However, due to unknown and network load dependent delay times of UDP communication packages, and due to possible package losses, the system must react tolerantly towards these occurrences. In our FPGA based readout system, event packages (consisting of an event time, energy, and channel number) are stored in a FIFO. The event times are sent to a Central Trigger Unit (CTU) through a UDP/IP link where trigger decisions are made and broadcasted back to the readout cards. The broadcasted trigger times are compared to existing event times to decide if the event package is discarded or sent to a computer farm. Since the UDP packages with event times and trigger times are self-contained there is no need for sorting algorithms usually associated with UDP networking. The UDP/IP stack is implemented solely in hardware without using large amount of resources.

关键词： Ethernet FPGA based readout system IP networks Microwave integrated circuits PET UDP communication package UDP/IP asynchronous circuits asynchronous coincidence triggering system central trigger unit field programmable gate arrays high energy physics instrumentation computing highly scalable asynchronous trigger system local area networks nuclear electronics off-the-shelf components point-to-point connection process positron emission tomography readout electronics real-time coincidence trigger units sorting algorithm transport protocols trigger circuits

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A fast Selection algorithm Based on Binary Numbers for Capacitor Voltage Balance in Modular Multilevel Converter 33

A fast Selection Algorithm Based on Binary Numbers for Capac...

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33rd Annual IEEE Applied Power Electronics Conference and Exposition (APEC)

作者： Wang, Tao Lin, Hua Wang, Zhe Ma, Yajun Wang, Xingwei Huazhong Univ Sci & Technol State Key Lab Adv Electromagnet Engn & Technol Wuhan Hubei Peoples R China

ISBN: (纸本)9781538611807

Considering the capacitor voltage balance (CVB) in modular multilevel converter (MMC), classical complete sorting algorithms, especially used in MMC with a large number of submodules (SMs), usually result in too much computational load and resource consumption. A fast selection algorithm based on binary numbers is proposed to achieve CVB in MMC. The algorithm needs not fully sorting all the numbers, and the complexity of it rapidly decreases by using a binary division mechanism. These properties make the proposed algorithm fast and resource-saving, and easily being implemented in many types of microcontrollers. Taking into account the needs of engineering applications, some techniques used to improve algorithm speed and reduce Filed Programmable Gate Array (FPGA) resource consumption are discussed when implementing algorithms in FPGA. The required resources and execution time of the proposed algorithm is evaluated, and a comparison between the proposed algorithm and some other sorting algorithms is used to verify the conclusions.

关键词： modular multilevel converter capacitor voltage balancing sorting algorithm field programmable gate array

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Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings 44

Densely Connected Convolutional Networks and Signal Quality ...

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44th Computing in Cardiology Conference (CinC)

作者： Rubin, Jonathan Parvaneh, Saman Rahman, Asif Conroy, Bryan Babaeizadeh, Saeed Philips Res North Amer Cambridge MA USA Philips Healthcare Adv Algorithm Res Ctr Andover MA USA

ISBN: (纸本)9781538645550;9781538666302

The development of new technology such as wearables that record high-quality single channel ECG, provides an opportunity for ECG screening in a larger population, especially for atrial fibrillation screening. The main goal of this study is to develop an automatic classification algorithm for normal sinus rhythm (NSR), atrial fibrillation (AF), other rhythms (O), and noise from a single channel short ECG segment (9-60 seconds). For this purpose, signal quality index (SQI) along with dense convolutional neural networks was used. Two convolutional neural network (CNN) models (main model that accepts 15 seconds ECG and secondary model that processes 9 seconds shorter ECG) were trained using the training data set. If the recording is determined to be of low quality by SQI, it is immediately classified as noisy. Otherwise, it is transformed to a time-frequency representation and classified with the CNN as NSR, AF, O, or noise. At the final step, a feature-based post-processing algorithm classifies the rhythm as either NSR or O in case the CNN model's discrimination between the two is indeterminate. The best result achieved at the official phase of the PhysioNet/CinC challenge on the blind test set was 0.80 (F1 for NSR, AF, and O were 0.90, 0.80, and 0.70, respectively).

关键词： Electrocardiography Rhythm Classification algorithms Training Spectrogram Computational modeling Feature extraction Electrocardiography Rhythms sorting algorithm Spectrogram Computational modeling Feature extraction electrochemical grinding atrial fibrillation Functional training oxygen Signal quality Noise Wearable

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A Multilevel Converter Based on Cascaded Flying Cells with High Modularity and Single DC-link per Phase 12

A Multilevel Converter Based on Cascaded Flying Cells with H...

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12th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC)

作者： Noori, Mohammad Amin Neyshabouri, Yousef Iman-Eini, Hossein Univ Tehran Coll Engn Sch Elect & Comp Engn Tehran Iran Urmia Univ Fac Elect & Comp Engn Orumiyeh Iran

ISBN: (纸本)9781665403665

In cascaded H-bridge (CHB) converter, despite its high modularity, each h-bridge cell requires an isolated dcsource. The phase-shifting transformer in cascaded h-bridge (CHB) converter is its main drawback. New topologies have been introduced with a reduced number of DC sources e.g. MMC. But it needs lots of semiconductor components. A new topology is proposed in this paper which is called cascaded flying cells (CFC). This topology provides high modularity and uses a single DC-link per phase. A sorting algorithm is proposed in this paper by which the voltages of flying capacitors in the converter cells are kept balanced with a constant switching frequency. Compared to several reduced count multilevel converters, it provides high modularity and better controllability of capacitor voltages. The proper operation of a five-level CFC is simulated in both steady-state and dynamic conditions in MATLAB/SIMULINK environment.

关键词： Cascaded h-bridge cascaded flying cells capacitor voltages balancing sorting algorithm component count modularity MMC

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Obtaining Bipartitions from Score Vectors for Multi-Label Classification

Obtaining Bipartitions from Score Vectors for Multi-Label Cl...

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22nd International Conference on Tools with Artificial Intelligence

作者： Ioannou, Marios Sakkas, George Tsoumakas, Grigorios Vlahavas, Ioannis Aristotle Univ Thessaloniki Dept Informat Thessaloniki 54124 Greece

ISBN: (纸本)9780769542638

Multi-label classification is a popular learning task. However, some of the algorithms that learn from multi-label data, can only output a score for each label, so they cannot be readily used in applications that require bipartitions. In addition, several of the recent state-of-the-art multi-label classification algorithms, actually output a score vector primarily and employ one (sometimes simple) thresholding method in order to be able to output bipartitions. Furthermore, some approaches can naturally output both a score vector and a bipartition, but whether a better bipartition can be obtained through thresholding has not been investigated. This paper contributes a theoretical and empirical comparative study of existing thresholding methods, highlighting their importance for obtaining bipartitions of high quality.

关键词： multi-label classification multi-label data score vector thresholding label data Threshold sorting algorithm Output

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Parallel Quick Sort algorithms Analysis using OpenMP 3.0 in Embedded System

Parallel Quick Sort Algorithms Analysis using OpenMP 3.0 in ...

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11th International Conference on Control, Automation and Systems (ICCAS)/Robot World Conference

作者： Kim, Kil Jae Cho, Seong Jin Jeon, Jae-Wook Sungkyunkwan Univ Mobile Syst Engn Dept Suwon 440746 South Korea Sungkyunkwan Univ Sch Informat & Commun Engn Suwon 440746 South Korea

ISBN: (纸本)9788993215038

A multi-core system is commonly used in the general PC (Personal Computer) environment. There is a growing need for multi-core system in embedded environments with increasing usage of multi-core systems. Parallel programming is an important issue of a multi-core system, since it enables full use of the core system. Especially, OpenMP API provides an easy low-burdensome method for threading applications. However, it is more difficult to develop parallel programming in the embedded level due to the memory size limitation and number of cores. For example, limitation of cache memory and data sharing architecture induce frequent data movement overhead between cache and main memory. Use of an excessive number of threads, regardless of number of cores, induces the 'Heavy Contention' problem. In this paper, we parallelize the a lot of kinds of quick sort algorithm using OpenMP 3.0 in the OMAP-4430 embedded environment and analyze the effect of parallelization considering memory size and number of cores with the 'GNU Gprof' profiler.

关键词： OpenMP 3.0 OMAP-4430 sorting algorithm SMP model Parallel program

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Tasked-based quantification of measurement utility for ex vivo multi-spectral Mueller polarimetry of the uterine cervix

Tasked-based quantification of measurement utility for <i>ex...

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Conference on Clinical and Preclinical Optical Diagnostics

作者： Kupinski, Meredith Rehbinder, Jean Haddad, Huda Deby, Stanislas Vizet, Jeremy Teig, Benjamin Nazac, Andre Pierangelo, Angelo Moreau, Francois Novikova, Tatiana Univ Arizona Tucson AZ 85721 USA Ecole Polytech CNRS LPICM F-91128 Palaiseau France Tafila Tech Univ Fac Sci Appl Phys Dept Tafila Jordan CHU Bicetre Serv Anat Pathol 78 Rue Gnral Leclerc F-94270 Le Kremlin Bicetre France CHU Bicetre AP HP Serv Gyncol Obsttr 78 Rue Gnral Leclerc F-94275 Le Kremlin Bicetre France Univ Libre Bruxelles Univ Hosp Brugmann Dept Obstet & Gynecol Brussels Belgium

Significant contrast in visible wavelength Mueller matrix images for healthy and pre-cancerous regions of excised cervical tissue is shown. A novel classification algorithm is used to compute a test statistic from a s... 详细信息

ISBN: (纸本)9781510612815;9781510612808

关键词： Cervix Uteri MULTISPECTRAL polarimetry sorting algorithm EX-VIVO Precancerous Conditions

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Facebook User's Like Behavior Can Reveal Personality 7

Facebook User's Like Behavior Can Reveal Personality

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2015 7th Conference on Information and Knowledge Technology (IKT)

作者： Ghavami, Seyed Morteza Asadpour, Masoud Hatami, Javad Mahdavi, Mohammad Univ Tehran Sch Elect & Comp Engn Tehran Iran Univ Tehran Dept Psychol Tehran Iran

ISBN: (纸本)9781467374859

Personality is an important factor that affects human's behavior. In recent years attraction towards online social networks has increased tremendously. Due to its unique features social networks are very suitable platforms for psychological analysis. By investigating 65 facebook users which participated in this research, correlation between personality traits and user liking behavior was observed. Classification algorithms were applied to classify personality traits based on user liking activity. Among classifiers, the SVM classifier outperforms other classifiers in most traits.

关键词： Personality personality trait Social Networks Social Media Facebook sorting algorithm Classifiers Affection Consumers

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