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Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2, Pages 98-108 doi: 10.1631/FITEE.1400165

Abstract: We present a study to show the possibility of using two well-known space partitioning and indexing techniques, kd trees and quad trees, in declustering applications to increase input/output (I/O) parallelization and reduce spatial data processing times. This parallelization enables time-consuming computational geometry algorithms to be applied efficiently to big spatial data rendering and querying. The key challenge is how to balance the spatial processing load across a large number of worker nodes, given significant performance heterogeneity in nodes and processing skews in the workload.

Keywords： Kd tree Quad tree Space partitioning Spatial indexing Range queries Query optimization

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Cohort-based personalized query auto-completion Regular Papers-Research Articles

Dan-yang JIANG, Hong-hui CHEN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9, Pages 1246-1258 doi: 10.1631/FITEE.1800010

Abstract: Query auto-completion (QAC) facilitates query formulation by predicting completions for given queryMost web search engines use behavioral signals to customize query completion lists for users.Our proposals use cohorts’ contextual information together with query frequency to rank completions.We perform extensive experiments on the publicly available AOL query log and compare the ranking effectiveness

Keywords： Query auto-completion Cohort-based retrieval Topic models

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Semantically condensed multi-relational frequent pattern discovery based on conjunctive query containment

Yang Bingru,Zhang Wei,Qian Rong

Strategic Study of CAE 2008, Volume 10, Issue 9, Pages 47-53

Abstract: approach to semantically condensed multi-relational frequent pattern discovery based on conjunctive query

Keywords： multi-relational data mining frequent pattern discovery conjunctive query condensed pattern

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Semantic composition of distributed representations for query subtopic mining None

Wei SONG, Ying LIU, Li-zhen LIU, Han-shi WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11, Pages 1409-1419 doi: 10.1631/FITEE.1601476

Abstract:

Inferring query intent is significant in information retrieval tasks.Query subtopic mining aims to find possible subtopics for a given query to represent potential intentsstill not clear whether distributed representations are effective in alleviating the challenges of querythis paper, we exploit and compare the main semantic composition of distributed representations for queryempirical results show that distributed semantic representations can achieve outstanding performance for query

Keywords： Subtopic mining Query intent Distributed representation Semantic composition

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A machine learning approach to query generation in plagiarism source retrieval Article

Lei-lei KONG, Zhi-mao LU, Hao-liang QI, Zhong-yuan HAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10, Pages 1556-1572 doi: 10.1631/FITEE.1601344

Abstract: Heuristic-based query generation methods are widely used in the current research.The statistical machine learning approach to query generation for source retrieval is formulated as aknowledge, our work is the first research to apply machine learning methods to resolve the problem of queryWith respect to the established baselines, the experimental results show that applying our proposed query

Keywords： Plagiarism detection Source retrieval Query generation Machine learning Learning to rank

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Efficient dynamic pruning on largest scores first (LSF) retrieval

Kun JIANG,Yue-xiang YANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 1, Pages 1-14 doi: 10.1631/FITEE.1500190

Abstract:

Inverted index traversal techniques have been studied in addressing the query processing performanceIn this paper, we focus on the inverted index traversal on document-sorted indexes and the optimizationfirst (LSF) retrieval, in which the candidates are first selected in the posting list of important queryterms with the largest upper bound scores and then fully scored with the contribution of the remaining querydocument-at-a-time (DAAT) retrieval at the expense of revisiting the posting lists of the remaining query

Keywords： Inverted index Index traversal Query latency Largest scores first (LSF) retrieval Dynamic pruning

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Current Status and Future Development of Quantum Cryptographic Protocols

Zhang Xue, Gao Fei, Qin Sujuan, Zhang Ping

Strategic Study of CAE 2022, Volume 24, Issue 4, Pages 145-155 doi: 10.15302/J-SSCAE-2022.04.015

Abstract: secret sharing, quantum identity authentication, two-party secure computation, and quantum private query" outline_type="title" type="outline">《7.4 Quantum private query》

7.4 Quantum private query

Keywords： quantum cryptography protocols quantum key distribution quantum digital signature quantum private query

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Synergistic optimization framework for the process synthesis and design of biorefineries

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 251-273 doi: 10.1007/s11705-021-2071-9

Abstract: We propose a novel framework incorporating superstructure optimization and simulation-based optimizationIn this context, several approaches for superstructure optimization based on different surrogate modelsThe results indicate that even though surrogate-based optimization approaches alleviate the underlyingFurthermore, the framework’s synergistic effects by sequentially performing superstructure optimizationThese findings invite for a critical assessment of surrogate-based optimization approaches and point

Keywords： biotechnology surrogate modelling superstructure optimization simulation-based optimization process

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Recent advances in system reliability optimization driven by importance measures

Shubin SI, Jiangbin ZHAO, Zhiqiang CAI, Hongyan DUI

Frontiers of Engineering Management 2020, Volume 7, Issue 3, Pages 335-358 doi: 10.1007/s42524-020-0112-6

Abstract: System reliability optimization problems have been widely discussed to maximize system reliability withThe rules for simple optimization problems are summarized to enhance system reliability by using rankingThe importance-based optimization algorithms for complex or large-scale systems are generalized to obtainFurthermore, a general framework driven by IM is developed to solve optimization problems.Finally, some challenges in system reliability optimization that need to be solved in the future are

Keywords： importance measure system performance reliability optimization optimization rules optimization algorithms

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Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Frontiers of Engineering Management Pages 499-516 doi: 10.1007/s42524-022-0221-5

Abstract: Then, a time–space network optimization model is built, and its corresponding solution algorithm is presented

Keywords： online supermarkets split-order consolidation time–space network genetic algorithm

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Design and optimization of reactive distillation: a review

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6, Pages 799-818 doi: 10.1007/s11705-021-2128-9

Abstract: To overcome this problem, the design and optimization of reactive distillation have been widely studiedThese design and optimization methods of the reactive distillation process are classified into threecategories: graphical, optimization-based, and evolutionary/heuristic methods.The primary objective of this article is to provide an up-to-date review of the existing design and optimizationPerspectives on future research on the design and optimization of reactive distillation method are proposed

Keywords： reactive distillation process intensification design method reactive phase diagram optimization algorithm

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Review on the design and optimization of hydrogen liquefaction processes

Liang YIN, Yonglin JU

Frontiers in Energy 2020, Volume 14, Issue 3, Pages 530-544 doi: 10.1007/s11708-019-0657-4

Abstract: In this paper, the detailed progress of design and optimization for hydrogen liquefaction in recent yearsFinally, several future improvements for hydrogen liquefaction process design and optimization are proposed

Keywords： hydrogen liquefaction energy consumption efficiency optimization

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Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1, Pages 57-74 doi: 10.1007/s11709-021-0784-y

Abstract: In this paper, the seismic design optimization of spatial steel dome structures is achieved through threerecent metaheuristic algorithms that are water strider (WS), grey wolf (GW), and brain storm optimizationdesign results obtained by classical metaheuristic algorithms and a gradient descent-based hyperband optimization

Keywords： steel dome optimization water strider algorithm grey wolf algorithm brain storm optimization algorithm hyperband optimization algorithm

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Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4, Pages 392-404 doi: 10.1007/s11465-015-0353-y

Abstract: and scheduling, real world problems cannot be fully captured considering only a single objective for optimizationIn this paper, an optimization algorithm for solving MOIPPS problem is presented.

Keywords： integrated process planning and scheduling (IPPS) dispatching rules priority based optimization algorithm multi-objective optimization

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Footholds optimization for legged robots walking on complex terrain

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0742-y

Abstract: This paper proposes a novel continuous footholds optimization method for legged robots to expand theirThen, it constructs an optimization function combined with the robot’s state information to select thediscrete enumeration search, as far as we know, the proposed algorithm is the first to use a continuous optimization

Keywords： footholds optimization legged robot complex terrain adapting hexapod robot locomotion control