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2005 International journal of software engineering and knowledge engineering  
In this paper we present algorithms that make our index model more adaptive in distributed environment because adaptability in a dynamic environment, space utilization, and operation speed are important  ...  We have proposed a multi-key index model, which enables efficient query execution in distributed database management system.  ...  Section 2 presents background knowledge on multikey index for distributed database system, section 3 gives dynamic adaptation of the index and finally section 4 draws a conclusion.  ... 
doi:10.1142/s0218194005002075 fatcat:dwo4mcrawvbw5iqdvqwbvnuguq

Efficient hybrid search algorithm on ordered datasets [article]

Adnan Saher Mohammed, Şahin Emrah Amrahov, Fatih V. Çelebi
2017 arXiv   pre-print
Searching an item in ordered list is an efficient operation in data processing. Binary and interpolation search algorithms commonly are used for searching ordered dataset in many applications.  ...  The proposed algorithm called Hybrid Search (HS), which is designed to work efficiently on unknown distributed ordered datasets, experimental results showed that our proposed algorithm has better performance  ...  of Interpolation, Binary, Adaptive and Hybrid Search on normal distribution, #10 7 Figure 6 : 76 Execution-time of Interpolation, Binary, Adaptive and Hybrid Search on normal distribution, large array  ... 
arXiv:1708.00964v1 fatcat:4agheu5unrd35c2rn6bhwfoadu

Run-time and compile-time support for adaptive irregular problems

Shamik D. Sharma, Ravi Ponnusamy, Bongki Moon, Yuan Shin Hwang, Raja Das, Joel Saltz
1994 Supercomputing, Proceedings  
In adaptive irregular problems the data arrays are accessed via indirection arrays, and data access patterns change during computation.  ...  Implementingsuch problems on distributed memory machines requires support for dynamic data partitioning, e cient preprocessing and fast data migration.  ...  , Ken Kennedy and Seema Hiranandani for many useful discussions about integrating Fortran-D runtime support for irregular problems.  ... 
doi:10.1145/602791.602793 fatcat:egnsgqwi4rdshfg7li367ks5e4

Runtime and language support for compiling adaptive irregular programs on distributed-memory machines

Yuan-Shin Hwang, Bongki Moon, Shamik D. Sharma, Ravi Ponnusamy, Raja Das, Joel H. Saltz
1995 Software, Practice & Experience  
In many scientific applications, arrays containing data are indirectly indexed through indirection arrays.  ...  In particular, it provides efficient support for parallelization of adaptive irregular programs where indirection arrays are modified during the course of computation.  ...  D runtime support for irregular problems.  ... 
doi:10.1002/spe.4380250603 fatcat:zbzluzrtt5futjpv4m3bbumdjy

Partially Host-Adaptive Quantization Index Modulation Watermarking in a Baseband-Spread Transformation Domain

Ali E. Hameed
2008 Iraqi Journal for Electrical And Electronic Engineering  
However, this adaptation process could distort the watermark, affecting its robustness and information content.  ...  This completely eliminates the need to equalize adaptation distortions prior to decoding, and hence, to pass any side information about the adaptation processing to the decoder, too. ‫  ...  of integrateand-dump receivers, it is proposed here that only the coefficients with the same frequency indexes should be aligned into the same baseband channels, so to get symmetrical distributions for  ... 
doi:10.33762/eeej.2008.54955 fatcat:zhhvx25h3be7djgmciawybrquu

Convolutional Neural Networks for Image Processing: An Application in Robot Vision [chapter]

Matthew Browne, Saeed Shiry Ghidary
2003 Lecture Notes in Computer Science  
The results support the notion that data-based adaptive image processing methods such as CNNs are useful for image processing, or other applications where the input arrays are large, and spatially / temporally  ...  Convolutional neural networks (CNNs) represent an interesting method for adaptive image processing, and form a link between general feedforward neural networks and adaptive filters.  ...  Convolutional neural networks (CNNs) represent an interesting method for adaptive image processing, and form a link between general feedforward neural networks and adaptive filters.  ... 
doi:10.1007/978-3-540-24581-0_55 fatcat:uesnzcri45a6hetsjkec47hcam

A common data management infrastructure for adaptive algorithms for PDE solutions

Manish Parashar, James C. Browne, Carter Edwards, Kenneth Klimkowski
1997 Proceedings of the 1997 ACM/IEEE conference on Supercomputing (CDROM) - Supercomputing '97  
The currently implemented abstractions are those needed for formulation of hierarchical adaptive finite difference methods, hp-adaptive finite element methods, and fast multipole method for solution of  ...  This paper is primarily concerned with the two lowest layersof this infrastructure: a layer which defines and implements dynamic distributed arrays (DDA), and a layer in which several dynamic data and  ...  Dynamic Distributed Array (SDDA).  ... 
doi:10.1145/509593.509649 dblp:conf/sc/ParasharBEK97 fatcat:277ki7fg5fdclcpxiygdnc4q6y

Adaptive optics in laser processing

Patrick S. Salter, Martin J. Booth
2019 Light: Science & Applications  
Adaptive optics are becoming a valuable tool for laser processing, providing enhanced functionality and flexibility for a range of systems.  ...  Using a single adaptive element, it is possible to correct for aberrations introduced when focusing inside the workpiece, tailor the focal intensity distribution for the particular fabrication task and  ...  There is Laser processing with extended intensity distributions generated by adaptive optics. a Optical configuration for the projection-based creation of patterned intensity distributions using adaptive  ... 
doi:10.1038/s41377-019-0215-1 pmid:31814967 pmcid:PMC6884496 fatcat:xrfbdt3td5eypgidue4bzuczly

Modular and non-invasive distributed memory parallelization

Rui Carlos Gonçalves, João Luís Sobral
2012 Proceedings of the 2012 workshop on Modularity in Systems Software - MISS '12  
This paper presents an aspect-oriented library to support parallelization of Java applications for distributed memory environments, using a message-passing approach.  ...  para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project FCOMP-01-0124-FEDER-010152 and FCOMP-01-0124-FEDER-011413.  ...  Acknowledgments This work is funded by ERDF -European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT -Fundação  ... 
doi:10.1145/2162024.2162034 fatcat:hqhpd6sbdncgza7pqenh3ddsiy

Resolution improvement techniques for microwave imaging in random media using small wideband adaptive arrays

Mark Curry, Yasuo Kuga, Franklin T. Luk
2002 Advanced Signal Processing Algorithms, Architectures, and Implementations XII  
In this work we review and extend the approach for radar imaging using small, wideband, adaptive arrays by using a ray-tracing algorithm to simulate non-homogeneous environments.  ...  Computer simulations are shown to demonstrate the use of adaptive array imaging in several non-homogeneous environments.  ...  CONCLUSION We have extended our previous work in free space, wide angle, wideband adaptive array imaging.  ... 
doi:10.1117/12.452020 fatcat:dlguxfep4rgkfny5sde2znqdka

Machine Learning Assisted Adaptive Index Modulation for mmWave Communications

Haochen Liu, Siyao Lu, Mohammed El-Hajjar, Lie-Liang Yang
2020 IEEE Open Journal of the Communications Society  
We conceive a machine learning (ML) assisted adaptive OFDM-CSIM mmWave system, which simultaneously benefits from the OFDM with index modulation (IM), compressed sensing (CS) and the hybrid beamforming  ...  Furthermore, the achievable data rates of four types of antenna arrays, including uniform linear array (ULA), uniform rectangular planar array (URPA), uniform circle planar array (UCPA) and uniform cylindrical  ...  Specifically in our system, the adaptive modulation is the process of selecting a transmission mode for a given realization of the post-processing SNR, which reflects the channel state.  ... 
doi:10.1109/ojcoms.2020.3024724 fatcat:5smlvvkxnjbqzgw7zgqtd4m7lq

Adaptive clutter suppression method for three dimensional Doppler radar

Grigoriy Lesnikov, Mikhail Noniashvilli, Alexander Iliyasafov, P. Yermolov
2019 ITM Web of Conferences  
The heuristic method for clutter suppression in three dimensional (3D) Doppler radar is proposed. The algorithm for suggested method was developed and experimentally verified.  ...  After fragmentation the position of each subchannel is declared unambiguously by four indexes (i,j,k,v) in four-dimensional array.  ...  The mark distribution from such clutters doesn't differ much from distribution of group objects marks. Such clutters are better to be suppressed at the secondary processing stage.  ... 
doi:10.1051/itmconf/20193015031 fatcat:ybpjlhvdkjgelilkndesxtahhy

Hierarchical Bitmap Indexing for Range and Membership Queries on Multidimensional Arrays [article]

Luboš Krčál
2021 arXiv   pre-print
We propose a new method for multidimensional array indexing that overcomes the dimensionality-induced inefficiencies.  ...  The hierarchical indexing method is based on n-di­men­sional sparse trees for dimension partitioning, with bound number of individual, adaptively binned indices for attribute partitioning.  ...  Our approach effectively prunes the search space, uses data adaptive, approximate equi-depth binning. Furthermore, the index supports partitioned array data and allows distributed storage.  ... 
arXiv:2108.13735v1 fatcat:4yehjalvjfh2rocbxasfiil2sa

Vocabulary tree incremental indexing for scalable location recognition

Rongrong Ji, Xing Xie, Hongxun Yao, Yongjian Wu, Wei-Ying Ma
2008 2008 IEEE International Conference on Multimedia and Expo  
Our proposed framework enables incremental indexing of vocabulary tree model, which efficiently includes new data into model refinement without re-generating entire model from overall dataset.  ...  An adaption trigger criterion is presented to lessen system computational cost, which is achieved by density-based relative entropy estimation between original dataset and newly coming data.  ...  Once the Inactive program receives a new batch of scene images, we firstly investigate whether it is necessary for activate incremental indexing process (Detail in Section 3).  ... 
doi:10.1109/icme.2008.4607573 dblp:conf/icmcs/JiXYWM08 fatcat:rzgptp22kjamlcdgi5iylmdepe

AMR++: A Design for Parallel Object-Oriented Adaptive Mesh Refinement [chapter]

Dan Quinlan
2000 IMA Volumes in Mathematics and its Applications  
In the serial environment the arrays represent contiguous storage and can be shared with other FORTRAN or C applications and provide for indexing, indirectaddressing, complex views (subarrays), dynamic  ...  A++/P++ has been distributed for 3 years. OVERTURE has been distributed for the last two years.  ... 
doi:10.1007/978-1-4612-1252-2_3 fatcat:sz4itpiwozajxdxr4o2bbnoqwu
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