108 resources related to Search-based Applications
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The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
ICSE is the premier forum for researchers to present and discuss the most recent innovations,trends, outcomes, experiences, and challenges in the field of software engineering. The scopeis broad and includes all original and unpublished results of empirical, conceptual, experimental,and theoretical software engineering research.
ICST 2019 is intended to provide a common forum for researchers, scientists, engineers and practitioners throughout the world to present their latest research findings, ideas, developments and applications in the area of Software Testing, Verification and Validation. Topics of interest include, but are not limited to:Testing theory and practice, Testing in globally-distributed organizations, Model-based testing, Model-driven engineering and testing, Domain specific testing, Quality assurance, Model checking, Formal verification, Fuzzing, Inspections, Testing and analysis tools, Design for testability, Testing education, Technology transfer in testing, Testing of open source, etc. Besides research track papers, the conference also include doctoral forum, software testing contest and various workshops.
2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)
The IEEE/ACM Automated Software Engineering (ASE) Conference series is the premier research forum for automated software engineering. Each year, it brings together researchers and practitioners from academia and industry to discuss foundations, techniques and tools for automating the analysis, design, implementation, testing, and maintenance of large software systems.
2019 IEEE International Symposium on Information Theory (ISIT)
Information theory and coding theory and their applications in communications and storage, data compression, wireless communications and networks, cryptography and security, information theory and statistics, detection and estimation, signal processing, big data analytics, pattern recognition and learning, compressive sensing and sparsity, complexity and computation theory, Shannon theory, quantum information and coding theory, emerging applications of information theory, information theory in biology.
Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...
Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...
Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
Search-Based Applications: At the Confluence of Search and Database Technologies, None
We are poised at a major turning point in the history of information management via computers. Recent evolutions in computing, communications, and commerce are fundamentally reshaping the ways in which we humans interact with information, and generating enormous volumes of electronic data along the way. As a result of these forces, what will data management technologies, and their supporting software ...
2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2016
Nowadays, the demand for human-to-machine communication systems by using human voice is constantly growing. These systems allow the user to get access to information, fundament decisions and solve daily life or business issues in a timely and natural manner, with as little effort as possible. The complexity of the user input requested by many front-end speech recognition and back-end processing ...
Proceedings Frontiers '95. The Fifth Symposium on the Frontiers of Massively Parallel Computation, 1995
We present experimental results for parallelizing two breadth-first search- based applications on the CM-5 by using two different message-passing paradigms, one based on send/receive and the other based on active messages. The parallelization of these applications requires fine-grained communication. Our results show that the active messages-based implementation gives significant improvement over the send/receive-based implementation. The improvements can primarily be attributed ...
2009 Seventh International Workshop on Content-Based Multimedia Indexing, 2009
As the Web becomes a platform for multimedia content fruition, audiovisual search assumes a central role in providing users with the content most adequate to their information needs. A key issue for enabling audiovisual search is extracting indexable knowledge from opaque media. Such a process is heavily constrained by scalability and performance issues and must be able to flexibly incorporate ...
2018 26th Signal Processing and Communications Applications Conference (SIU), 2018
Task extraction on query logs is one of the important and interesting topics used on search engines and many search-based applications. Similar queries entered by users can be aggregated according to their various features to make meaningful tasks. Task extraction is important for providing suggestions in the direction of the user's intention, in the search text completion, in returning the ...
LDA to Find User Archetypes for Search & Matching
Computer-Assisted Audiovisual Language Learning
Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics
Some Recent Work in Computational Intelligence for Software Engineering
IEEE Top Trends for 2012 at CES: Cloud-Based Applications
2011 IEEE Awards James H. Mulligan, Jr. Education Medal - Raj Mittra
Design of Monolithic Silicon-Based Envelope-Tracking Power Amplifiers for Broadband Wireless Applications
Shaping Smarter Cities: The Technical Son Returns
Algorithms that Play and Design Games
High Throughput Neural Network based Embedded Streaming Multicore Processors - Tarek Taha: 2016 International Conference on Rebooting Computing
Bringing Biological Models to Life: The Power of Agent-based Modeling and Visualization
APEC 2011-GaN Based Power Devices in Power Electronics
A Damping Pulse Generator Based on Regenerated Trigger Switch: RFIC Interactive Forum
2013 IEEE Dennis J. Picard Medal
A 32GHz 20dBm-PSAT Transformer-Based Doherty Power Amplifier for MultiGb/s 5G Applications in 28nm Bulk CMOS: RFIC Interactive Forum 2017
How Symmetry Constrains Evolutionary Optimizers: A Black Box Differential Evolution Case Study - IEEE Congress on Evolutionary Computation 2017
IEEE PELS Webinar Series-Galvanic Isolation for Power Supply Applications
Community Based Career Development Panel: IEEE WIE Forum USA East 2017
We are poised at a major turning point in the history of information management via computers. Recent evolutions in computing, communications, and commerce are fundamentally reshaping the ways in which we humans interact with information, and generating enormous volumes of electronic data along the way. As a result of these forces, what will data management technologies, and their supporting software and system architectures, look like in ten years? It is difficult to say, but we can see the future taking shape now in a new generation of information access platforms that combine strategies and structures of two familiar -- and previously quite distinct -- technologies, search engines and databases, and in a new model for software applications, the Search-Based Application (SBA), which offers a pragmatic way to solve both well-known and emerging information management challenges as of now. Search engines are the world's most familiar and widely deployed information access tool, used by hundreds of millions of people every day to locate information on the Web, but few are aware they can now also be used to provide precise, multidimensional information access and analysis that is hard to distinguish from current database applications, yet endowed with the usability and massive scalability of Web search. In this book, we hope to introduce Search Based Applications to a wider audience, using real case studies to show how this flexible technology can be used to intelligently aggregate large volumes of unstructured data (like Web pages) and structured data (like database content), and to make that data available in a highly contextual, quasi real- time manner to a wide base of users for a varied range of purposes. We also hope to shed light on the general convergences underway in search and database disciplines, convergences that make SBAs possible, and which serve as harbingers of information management paradigms and technologies to come. Table of Contents: Search Based Applications / Evolving Business Information Access Needs / Origins and Histories / Data Models and Storage / Data Collection/Population / Data Processing / Data Retrieval / Data Security, Usability, Performance, Cost / Summary Evolutions and Convergences / SBA Platforms / SBA Uses and Preconditions / Anatomy of a Search Based Application / Case Study: GEFCO / Case Study: Urbanizer / Case Study: National Postal Agency / Future Directions
Nowadays, the demand for human-to-machine communication systems by using human voice is constantly growing. These systems allow the user to get access to information, fundament decisions and solve daily life or business issues in a timely and natural manner, with as little effort as possible. The complexity of the user input requested by many front-end speech recognition and back-end processing systems leads to imminent barriers when it comes to fulfilling a request. The main contribution of this paper consists in evaluating speech recognition solutions that support search engine integration. Furthermore, we propose an architecture for an intelligent speech-to-process platform using semantic analysis of natural language for processing the back-end orientations that can greatly benefit from search engine technologies.
We present experimental results for parallelizing two breadth-first search- based applications on the CM-5 by using two different message-passing paradigms, one based on send/receive and the other based on active messages. The parallelization of these applications requires fine-grained communication. Our results show that the active messages-based implementation gives significant improvement over the send/receive-based implementation. The improvements can primarily be attributed to the lower latency of the active messages implementation.<<ETX>>
As the Web becomes a platform for multimedia content fruition, audiovisual search assumes a central role in providing users with the content most adequate to their information needs. A key issue for enabling audiovisual search is extracting indexable knowledge from opaque media. Such a process is heavily constrained by scalability and performance issues and must be able to flexibly incorporate specialized components for educing selected features from media elements. This paper shows how the use of a model-driven approach can help designers specify multimedia indexing processes, verify properties of interest in such processes, and generate the code that orchestrates the components, so as to enable rapid prototyping of content analysis processes in presence of evolving requirements.
Task extraction on query logs is one of the important and interesting topics used on search engines and many search-based applications. Similar queries entered by users can be aggregated according to their various features to make meaningful tasks. Task extraction is important for providing suggestions in the direction of the user's intention, in the search text completion, in returning the correct results for the domain being searched. Session information, clicked document contents and query entities are used for feature extraction in existing approaches. In recent studies, task extraction is made by the Wikipedia category hierarchies that is used at clustering level. In this study, entity categories are used for feature extraction instead of clustering phase. Therefore, it is aimed to measure sentimental similarity between search queries on categories precisely. In addition, the queries are clustered by central based and density based clustering methods with the different combination of feature sets. The evaluation of the methods are obtained by considering the similarities within cluster members and between clusters' centers. As a result of this work, entity and category vectors generated by word2vec method are treated as query feature and task based clustering performance is increased.
Packet switched networks such as the Internet require efficient IP routing in order to manage the traffic flows. In these environments CAM memories play a key role because they provide the address resolution time. This paper presents a practical implementation of a low-power CAM oriented to high-performance IP routing. The architecture devised shows optimal results in terms of area, speed and power consumption for these search-based applications by proposing a pipelined implementation split into banks with a reduction of the parameter word. Experimental results show how the proposed architecture provides significant improvements in terms of power and speed
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