the proceedings contain 18 papers. the topics discussed include: DNA computing sequence design based on bacterial foraging algorithm;a study on optimizing MarkDuplicate in genome sequencing pipeline;the effect of mach...
ISBN:
(纸本)9781450366113
the proceedings contain 18 papers. the topics discussed include: DNA computing sequence design based on bacterial foraging algorithm;a study on optimizing MarkDuplicate in genome sequencing pipeline;the effect of machine learning algorithms on metagenomics gene prediction;investigation on heat and mass transfer in a dialyzer membrane model for the development of dialysate temperature controller;biotable: a tool to extract semantic structure of table in biology literature;screening feasibility and comparison of deep artificial neural networks algorithms for classification of skin lesions;skin cancer detection and classification for moles using k-nearest neighbor algorithm;and identification of viable embryos using deep learning for medical image.
the advancement of cellular and internet technologies demands more efficient ways of speech compression. the characteristics of speech allows it to be compressed at a higher rate than an unknown audio signal. the spee...
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ISBN:
(数字)9781728153506
ISBN:
(纸本)9781728153513
the advancement of cellular and internet technologies demands more efficient ways of speech compression. the characteristics of speech allows it to be compressed at a higher rate than an unknown audio signal. the speech signal starts by the deflation of the lungs which vibrates the vocal cords. the vibrating air then passes through the Pharyngeal cavity into the nasal and oral cavity. At each step the signal is distorted and shaped into the final signal that is recognized as speech. the semi-periodic nature of speech guarantees a sparse representation of the signal. CS depends on the sparsity of the signal to perform compression. the compression phase of this method is relatively fast making it applicable in many fields. Enhancing this method with Kronecker technique improves the accuracy even further. the goal of this study is to apply one of the novel CS methods for compression of clean speech signals and compare the results withthe Kronecker enhanced version.
the improvement of the time performance of pattern matching algorithm mainly lies in reducing the number of character comparisons and increasing the distance of the matching window moving to the right when mismatch. I...
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ISBN:
(数字)9781728147437
ISBN:
(纸本)9781728147444
the improvement of the time performance of pattern matching algorithm mainly lies in reducing the number of character comparisons and increasing the distance of the matching window moving to the right when mismatch. In this paper, it adopts the second idea of improvement. the paper first analyzes KMP algorithm and its improved one, and then introduces BMHS2 algorithm. the distance of moving to the right of two improved algorithms is calculated when mismatch occurs respectively, and then proposes an improved algorithm based on the combination of improved KMP and BMHS2. the idea of this matching algorithm is that the overall matching is carried out from left to right, and every time the matching is carried out from left to right. When the text substring in matching window is mismatched withthe pattern string, the larger jump distance of the I_KMP and BMHS2 is adopted to move the matching window to the right. Finally, two experiments to compare the time performance of the three algorithms above are carried out. the result shows that in the same experiment condition, compared to improved KMP and BMHS2, the time performance of improved pattern matching algorithm I_KMP_BMHS2 improved to some extent.
Due to the high occurrences of landslides in the Metropolitan District of Quito, we have tried to determine by a variety of methods the occurrence probability of the mass movements in order to adopt countermeasures in...
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the proceedings contain 35 papers. the topics discussed include: towards an autonomic Bayesian fault diagnosis service for SDN environments based on a big data infrastructure;securing delay-sensitive cognitive radio I...
ISBN:
(纸本)9781538659007
the proceedings contain 35 papers. the topics discussed include: towards an autonomic Bayesian fault diagnosis service for SDN environments based on a big data infrastructure;securing delay-sensitive cognitive radio IoT communications under reactive jamming attacks: spectrum assignment perspective;routing in heterogeneous vehicular networks using an adapted software defined networking approach;a resource sharing platform for resource-constrained software defined cognitive radio networks;Cheapo: an algorithm for runtime adaption of time intervals applied in 5G networks;software defined networks for traffic management in emergency situations;machine learning for network resilience: the start of a journey;process design of a capability-based weapon equipment requirements analysis system;toward a hybrid SDN architecture for V2V communication in IoV environment;opportunistic guard-band-aware spectrum assignment under dynamically varying channel conditions: optimization framework;an architecture for the 5G control plane based on SDN and data distribution service;neural network approach for component carrier selection in 4G/5G networks;implementing energy saving algorithms for Ethernet link aggregates with ONOS;an approach to secure smart homes in cyber-physical systems/internet-of-things;software-defined data services: interoperable and network-aware big data executions;energy saving and maximize utilization cloud resources allocation via online multi-dimensional vector bin packing;and mimicking Prey's escalation predation-avoidance techniques for cloud computing survivability using fuzzy cognitive map.
the proceedings contain 6 papers. the topics discussed include: recommendations for explorations based on graphs;any-k algorithms for exploratory analysis with conjunctive queries;exploring genomic datasets: from batc...
ISBN:
(纸本)9781450358477
the proceedings contain 6 papers. the topics discussed include: recommendations for explorations based on graphs;any-k algorithms for exploratory analysis with conjunctive queries;exploring genomic datasets: from batch to interactive and back;discovery and creation of rich entities for knowledge bases;strategies for detection of correlated data streams;and exploring pros and cons of ranked entities with COMPETE.
this book includes papers from the 5thinternationalconference on Robot Intelligence Technologyand Applications held at KAIST, Daejeon, Korea on December 1315, 2017. It covers the following areas: artificial intellig...
ISBN:
(纸本)9783319784519
this book includes papers from the 5thinternationalconference on Robot Intelligence Technologyand Applications held at KAIST, Daejeon, Korea on December 1315, 2017. It covers the following areas: artificial intelligence, autonomous robot navigation, intelligent robot system design, intelligent sensing and control, and machine vision. the topics included in this book are deep learning, deep neural networks, image understanding, natural language processing, speech/voice/text recognition, reasoning & inference, sensor integration/fusion/perception, multisensor data fusion, navigation/SLAM/localization, distributed intelligent algorithms and techniques, ubiquitous computing, digital creatures, intelligent agents, computer vision, virtual/augmented reality, surveillance, pattern recognition, gesture recognition, fingerprint recognition, animation and virtual characters, and emerging applications. this book is a valuable resource for robotics scientists, computer scientists, artificial intelligence researchers and professionals in universities, research institutes and laboratories.
the proceedings contain 35 papers. the special focus in this conference is on Combinatorial Optimization. the topics include: Online firefighting on trees;a multigraph formulation for the generalized minimum spanning ...
ISBN:
(纸本)9783319961507
the proceedings contain 35 papers. the special focus in this conference is on Combinatorial Optimization. the topics include: Online firefighting on trees;a multigraph formulation for the generalized minimum spanning tree problem;the distance polytope for the vertex coloring problem;A PTAS for the time-invariant incremental knapsack problem;on bounded pitch inequalities for the min-knapsack polytope;Efficient algorithms for measuring the funnel-likeness of DAGs;jointly optimizing replica placement, requests distribution and server storage capacity on content distribution networks;an exact column generation-based algorithm for bi-objective vehicle routing problems;multi-start local search procedure for the maximum fire risk insured capital problem;Compact MILP formulations for the p-center problem;a branch-and-bound procedure for the robust cyclic job shop problem;an exact algorithm for the split-demand one-commodity pickup-and-delivery travelling salesman problem;descent with mutations applied to the linear ordering problem;characterization and approximation of strong general dual feasible functions;preemptively guessing the center;improved algorithms for k-domination and total k-domination in proper interval graphs;A heuristic for maximising energy efficiency in an OFDMA system subject to QoS constraints;an integer programming approach to the student-project allocation problem with preferences over projects;even flying cops should think ahead;a generalization of the minimum branch vertices spanning tree problem;the next release problem: Complexity, exact algorithms and computations;a polyhedral view to generalized multiple domination and limited packing;alternating current optimal power flow with generator selection;parameterized algorithms for module map problems;2 CSPs all are approximable within a constant differential factor.
this book constitutes the refereed proceedings of the 12th IFIP WG 12.5 internationalconference on Artificial Intelligence Applications and Innovations, AIAI 2016, and three parallel workshops, held in thessaloniki, ...
ISBN:
(纸本)9783319831688
this book constitutes the refereed proceedings of the 12th IFIP WG 12.5 internationalconference on Artificial Intelligence Applications and Innovations, AIAI 2016, and three parallel workshops, held in thessaloniki, Greece, in September 2016. the workshops are the third Workshop on New Methods and Tools for Big Data, MT4BD 2016, the 5th Mining Humanistic Data Workshop, MHDW 2016, and the First Workshop on 5G - Putting Intelligence to the Network Edge, 5G-PINE 2016. the 30 revised full papers and 8 short papers presented at the main conference were carefully reviewed and selected from 65 submissions. the 17 revised full papers and 7 short papers presented at the 3 parallel workshops were selected from 33 submissions. the papers cover a broad range of topics such as artificial neural networks, classification, clustering, control systems - robotics, data mining, engineering application of AI, environmental applications of AI, feature reduction, filtering, financial-economics modeling, fuzzy logic, genetic algorithms, hybrid systems, image and video processing, medical AI applications, multi-agent systems, ontology, optimization, pattern recognition, support vector machines, text mining, and Web-social media data AI modeling.
the proceedings contain 56 papers. the special focus in this conference is on Man-Machine Interactions. the topics include: Deep learning with dense random neural networks;a perceptually inspired method for enhancing ...
ISBN:
(纸本)9783319677910
the proceedings contain 56 papers. the special focus in this conference is on Man-Machine Interactions. the topics include: Deep learning with dense random neural networks;a perceptually inspired method for enhancing contrast in uneven lighting images.;advances in hand-eye robot interactions;human perception of the pattern strength measure;typing braille code in the air withthe leap motion controller;touchless virtual keyboard controlled by eye blinking and EEG signals;an alternative virtual keyboard for blind people;how increasing machine agency affects human agency;eye movement traits in differentiating experts and laymen;mobile application using embedded sensors as a three dimensional motion registration method;virtual reality application to study the visual influences on human balance;improvements in DNA reads correction;semantic-based clustering of gene ontology terms on the biotest platform;comparative analysis of MicroRNA-target gene interaction prediction algorithms based on integrated P-value calculation;searching through scientific PDF files supported by bi-clustering of key terms matrices.;searching for cancer signatures using data mining techniques;consensus approach for detection of cancer somatic mutations;cancer clonal evolution simulation program;image denoising using backward stochastic differential equations;gabor filters generalization based on ateb-functions for information security;hierarchical agglomerative clustering of time-warped series;averaging of nonlinearly aligned evoked potentials in impulsive noise environment;linguistically described covariance matrix estimation;DBpedia and YAGO as knowledge base for natural language based question answering - the evaluation and expressing the notion of a mathematical structure in the formal language of mizar.
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