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Journal articles on the topic 'Multi-sensitive'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Darwish, Saad M., Magda M. Madbouly, and Mohamed A. El-Hakeem. "A Database Sanitizing Algorithm for Hiding Sensitive Multi-Level Association Rule Mining." International Journal of Computer and Communication Engineering 3, no. 4 (2014): 285–93. http://dx.doi.org/10.7763/ijcce.2014.v3.337.

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2

WANG, ZHE, MINGZHE LU, ZENGXIN NIU, XIANGYANG XUE, and DAQI GAO. "COST-SENSITIVE MULTI-VIEW LEARNING MACHINE." International Journal of Pattern Recognition and Artificial Intelligence 28, no. 03 (May 2014): 1451004. http://dx.doi.org/10.1142/s0218001414510045.

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Multi-view learning aims to effectively learn from data represented by multiple independent sets of attributes, where each set is taken as one view of the original data. In real-world application, each view should be acquired in unequal cost. Taking web-page classification for example, it is cheaper to get the words on itself (view one) than to get the words contained in anchor texts of inbound hyper-links (view two). However, almost all the existing multi-view learning does not consider the cost of acquiring the views or the cost of evaluating them. In this paper, we support that different views should adopt different representations and lead to different acquisition cost. Thus we develop a new view-dependent cost different from the existing both class-dependent cost and example-dependent cost. To this end, we generalize the framework of multi-view learning with the cost-sensitive technique and further propose a Cost-sensitive Multi-View Learning Machine named CMVLM for short. In implementation, we take into account and measure both the acquisition cost and the discriminant scatter of each view. Then through eliminating the useless views with a predefined threshold, we use the reserved views to train the final classifier. The experimental results on a broad range of data sets including the benchmark UCI, image, and bioinformatics data sets validate that the proposed algorithm can effectively reduce the total cost and have a competitive even better classification performance. The contributions of this paper are that: (1) first proposing a view-dependent cost; (2) establishing a cost-sensitive multi-view learning framework; (3) developing a wrapper technique that is universal to most multiple kernel based classifier.

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3

Chen Long, 陈龙, and 庞彦伟 Pang Yanwei. "Context-Sensitive Multi-Scale Face Detection." Laser & Optoelectronics Progress 56, no. 4 (2019): 041003. http://dx.doi.org/10.3788/lop56.041003.

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4

Na, Liu, Tang Di, Lu Ying, Tang Xiao-Jun, and Wang Hai-Wen. "Topic-sensitive multi-document summarization algorithm." Computer Science and Information Systems 12, no. 4 (2015): 1375–89. http://dx.doi.org/10.2298/csis140815060n.

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Latent Dirichlet Allocation (LDA) has been used to generate text corpora topics recently. However, not all the estimated topics are of equal importance or correspond to genuine themes of the domain. Some of the topics can be a collection of irrelevant words or represent insignificant themes. This paper proposed a topic-sensitive algorithm for multi-document summarization. This algorithm uses LDA model and weight linear combination strategy to identify significance topic which is used in sentence weight calculation. Each topic is measured by three different LDA criteria. Significance topic is evaluated by using weight linear combination to combine the multi-criteria. In addition to topic features, the proposed approach also considered some statistics features, such as term frequency, sentence position, sentence length, etc. It not only highlights the advantages of statistics features, but also cooperates with topic model. The experiments showed that the proposed algorithm achieves better performance than the other state-of-the-art algorithms on DUC2002 corpus.

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5

Qian, Jiangbo, Qiang Zhu, and Huahui Chen. "Multi-Granularity Locality-Sensitive Bloom Filter." IEEE Transactions on Computers 64, no. 12 (December 1, 2015): 3500–3514. http://dx.doi.org/10.1109/tc.2015.2401011.

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6

Zhou, Zhi-Hua, and Xu-Ying Liu. "ON MULTI-CLASS COST-SENSITIVE LEARNING." Computational Intelligence 26, no. 3 (July 27, 2010): 232–57. http://dx.doi.org/10.1111/j.1467-8640.2010.00358.x.

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7

Hu, Weiming, Xinmiao Ding, Bing Li, Jianchao Wang, Yan Gao, Fangshi Wang, and Stephen Maybank. "Multi-Perspective Cost-Sensitive Context-Aware Multi-Instance Sparse Coding and Its Application to Sensitive Video Recognition." IEEE Transactions on Multimedia 18, no. 1 (January 2016): 76–89. http://dx.doi.org/10.1109/tmm.2015.2496372.

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8

Hu, Chia-Cheng. "Delay-sensitive routing in multi-rate MANETs." Journal of Parallel and Distributed Computing 71, no. 1 (January 2011): 53–61. http://dx.doi.org/10.1016/j.jpdc.2010.08.018.

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9

Klaikherd, Akamol, Chikkannagari Nagamani, and S. Thayumanavan. "Multi-Stimuli Sensitive Amphiphilic Block Copolymer Assemblies." Journal of the American Chemical Society 131, no. 13 (April 8, 2009): 4830–38. http://dx.doi.org/10.1021/ja809475a.

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10

Sakai, Hikaru, Kodo Kawase, and Kosuke Murate. "Highly sensitive multi-stage terahertz parametric detector." Optics Letters 45, no. 14 (July 9, 2020): 3905. http://dx.doi.org/10.1364/ol.394975.

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11

Lacroix, Daniel, Teddy Viraye-Chevalier, Guillaume Seiter, Jonathan Howard, Dana Dabiri, Gamal E. Khalil, Younan Xia, and Cun Zhu. "Characterization of multi-dye pressure-sensitive microbeads." Review of Scientific Instruments 84, no. 11 (November 2013): 115107. http://dx.doi.org/10.1063/1.4824699.

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12

Wu, Fei, Xiao-Yuan Jing, and Qinghua Huang. "Uncorrelated Locality-Sensitive Multi-view Discriminant Analysis." National Academy Science Letters 43, no. 4 (January 6, 2020): 327–31. http://dx.doi.org/10.1007/s40009-019-00864-4.

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13

Gasparini, Luca, Timothy J. Norman, and Martin J. Kollingbaum. "Severity-sensitive norm-governed multi-agent planning." Autonomous Agents and Multi-Agent Systems 32, no. 1 (July 7, 2017): 26–58. http://dx.doi.org/10.1007/s10458-017-9372-x.

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14

Easter, Jon C., and Kenneth Thorpe. "The Multi-Billion Dollar Drug-Sensitive Spending Opportunity." North Carolina Medical Journal 79, no. 1 (January 2018): 46–50. http://dx.doi.org/10.18043/ncm.79.1.46.

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15

Ju, Hengrong, Huaxiong Li, Xibei Yang, Xianzhong Zhou, and Bing Huang. "Cost-sensitive rough set: A multi-granulation approach." Knowledge-Based Systems 123 (May 2017): 137–53. http://dx.doi.org/10.1016/j.knosys.2017.02.019.

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16

Chao, Xiangrui, and Yi Peng. "A Cost-sensitive Multi-criteria Quadratic Programming Model." Procedia Computer Science 55 (2015): 1302–7. http://dx.doi.org/10.1016/j.procs.2015.07.141.

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17

Vaisman Chasin, Adrian N., Luciana P. Salles, and Davies W. De Lima Monteiro. "Multi-Efficiency Position-Sensitive Detector with Linearized Response." ECS Transactions 14, no. 1 (December 18, 2019): 497–504. http://dx.doi.org/10.1149/1.2956066.

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18

Sidhu, Sukhjinder Singh, Mohan Lal Bansal, Jong-Min Kim, and Sarjinder Singh. "Unrelated Question Model in Sensitive Multi-Character Surveys." Communications for Statistical Applications and Methods 16, no. 1 (January 31, 2009): 169–83. http://dx.doi.org/10.5351/ckss.2009.16.1.169.

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19

Dasgupta, Dipankar, Arunava Roy, and Debasis Ghosh. "Multi-user permission strategy to access sensitive information." Information Sciences 423 (January 2018): 24–49. http://dx.doi.org/10.1016/j.ins.2017.09.039.

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20

Qian, Jiangbo, Zhipeng Huang, Qiang Zhu, and Huahui Chen. "Hamming Metric Multi-Granularity Locality-Sensitive Bloom Filter." IEEE/ACM Transactions on Networking 26, no. 4 (August 2018): 1660–73. http://dx.doi.org/10.1109/tnet.2018.2850536.

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21

Lee, SK, William Buxton, and K. C. Smith. "A multi-touch three dimensional touch-sensitive tablet." ACM SIGCHI Bulletin 16, no. 4 (April 1985): 21–25. http://dx.doi.org/10.1145/1165385.317461.

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22

Huang, Kuan-Hao, and Hsuan-Tien Lin. "Cost-sensitive label embedding for multi-label classification." Machine Learning 106, no. 9-10 (August 2, 2017): 1725–46. http://dx.doi.org/10.1007/s10994-017-5659-z.

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23

Li, Risong, Tianxiu Lu, Xiaofang Yang, and Yongxi Jiang. "Sensitivity for topologically double ergodic dynamical systems." AIMS Mathematics 6, no. 10 (2021): 10495–505. http://dx.doi.org/10.3934/math.2021609.

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<abstract><p>As a stronger form of multi-sensitivity, the notion of ergodic multi-sensitivity (resp. strongly ergodically multi-sensitivity) is introduced. In particularly, it is proved that every topologically double ergodic continuous selfmap (resp. topologically double strongly ergodic selfmap) on a compact metric space is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive). And for any given integer $ m\geq 2 $, $ f $ is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive) if and only if so is $ f^{m} $. Also, it is shown that if $ f $ is a continuous surjection, then $ f $ is ergodically multi-sensitive (resp. strongly ergodically multi-sensitive) if and only if so is $ \sigma_{f} $, where $ \sigma_{f} $ is the shift selfmap on the inverse limit space $ \lim\limits_{\leftarrow}(X, f) $. Moreover, it is proved that if $ f:X\rightarrow X $ (resp. $ g:Y\rightarrow Y $) is a map on a nontrivial metric space $ (X, d) $ (resp. $ (Y, d') $), and $ \pi $ is a semiopen factor map between $ (X, f) $ and $ (Y, g) $, then the ergodic multi-sensitivity (resp. the strongly ergodic multi-sensitivity) of $ g $ implies the same property of $ f $.</p></abstract>

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24

R, Vinothkanna. "ADAPTABLE MULTI-TOUCH TECHNOLOGY SYSTEM FOR TOUCH SENSITIVE DEVICES." Journal of Electrical Engineering and Automation 01, no. 01 (September 12, 2019): 30–40. http://dx.doi.org/10.36548/jeea.2019.1.004.

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The touch sensing technology that has paved way for a user friendly interaction with the components has become a more prominent option in the recent days due to its capability of providing a direct communication by just one touch and its compatibility with the users of all age and different level of skills. The touch technology can be single or multi and supported by variety of technologies, such as resistive, capacitive, acoustic and infrared. Among all the technologies the capacitive sensor are widely opted as they possess a low hysteresis, good repeatability and faster response time. The paper also puts forward adaptable multi-touch technology system for the touch sensitive devices, by proposing a flexible capacitive touch sensor to make touch sensitive devices more users friendly with the a highest degree of sensitivity to the touch and satisfactory performance for a broader range of applications with the heightened durability.

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25

OGAWA, Teiichiro. "Highly sensitive analysis by laser multi-photon ionization spectrometry." Bunseki kagaku 42, no. 4 (1993): 201–7. http://dx.doi.org/10.2116/bunsekikagaku.42.4_201.

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26

Duan, Weiwei, and Cheng Ding. "Non-linear Cost-sensitive Decision Tree for Multi-classification." International Journal of Software Engineering and Its Applications 10, no. 2 (February 28, 2016): 217–28. http://dx.doi.org/10.14257/ijseia.2016.10.2.18.

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27

TASKIN, BARIS, and IVAN KOURTEV. "MULTI-PHASE ROTARY CLOCK SYNCHRONIZATION OF LEVEL-SENSITIVE CIRCUITS." Journal of Circuits, Systems and Computers 18, no. 05 (August 2009): 899–908. http://dx.doi.org/10.1142/s0218126609005423.

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Resonant clocking technologies provide clock networks with improved frequency, jitter and power dissipation characteristics, however, often require novel automation routines. Resonant rotary clocking technology, for instance, entails multi-phase and nonzero clock skew operation and supports latch-based design. This paper studies the effects of multi-phase synchronization schemes on the minimum clock period for rotary-clock-synchronized circuits, which necessitate the application of clock skew scheduling and employ level-sensitive registers. In experimentation, single, dual, three- and four-phase clocking schemes generated by rotary clock synchronization are applied to a suite of level-sensitive-transformed ISCAS'89 benchmarks. Average clock period improvements of 30.3%, 24.8%, 17.7% and 12.0%, respectively, are observed on average compared to the flip-flop based, zero clock skew circuits. As the number of clock phases increases, smaller improvements are observed due to lesser overall effectiveness of the complementary effects of clock skew scheduling and time borrowing. It is shown, however, that for some circuits (23% of the benchmarks), multi-phase synchronization leads to significant performance benefits in operating frequency.

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28

Liu, Lan, Andreas O. J. Wiberg, Bill P. P. Kuo, Evgeny Myslivets, Nikola Alic, and Stojan Radic. "Channel cloning by multi-mode phase-sensitive parametric mixer." Optics Express 26, no. 25 (December 7, 2018): 33376. http://dx.doi.org/10.1364/oe.26.033376.

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29

Wang, Xupeng, Like Qiu, Ling Jian, Jing Liu, and Zhongwen Guo. "Online multi-label learning with cost-sensitive budgeted SVM." International Journal of Computational Science and Engineering 1, no. 1 (2017): 1. http://dx.doi.org/10.1504/ijcse.2017.10009977.

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30

Liu, Jing, Zhongwen Guo, Ling Jian, Like Qiu, and Xupeng Wang. "Online multi-label learning with cost-sensitive budgeted SVM." International Journal of Computational Science and Engineering 17, no. 3 (2018): 324. http://dx.doi.org/10.1504/ijcse.2018.095846.

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31

Yuan, Qianqian, Shilling Song, and Feng Yang. "Advertising for price-sensitive products with multi-attribute considered." International Journal of Production Research 54, no. 13 (March 9, 2016): 3796–807. http://dx.doi.org/10.1080/00207543.2016.1148274.

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32

Wei, Furu, Wenjie Li, Qin Lu, and Yanxiang He. "A document-sensitive graph model for multi-document summarization." Knowledge and Information Systems 22, no. 2 (March 3, 2009): 245–59. http://dx.doi.org/10.1007/s10115-009-0194-2.

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33

Richter, Dirk, Petter Weibring, James G. Walega, Alan Fried, Scott M. Spuler, and Matthew S. Taubman. "Compact highly sensitive multi-species airborne mid-IR spectrometer." Applied Physics B 119, no. 1 (February 19, 2015): 119–31. http://dx.doi.org/10.1007/s00340-015-6038-8.

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34

Jiang, Guohua, Xiangxiang Du, Zhen Wei, Tengteng Jiang, Huijie Zhou, and Zhoutong Qiu. "Photoinitiated synthesis of multi-sensitive micelles for drug release." European Polymer Journal 60 (November 2014): 33–37. http://dx.doi.org/10.1016/j.eurpolymj.2014.08.020.

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35

Satoh, O., T. Yamaya, K. Kotajima, and K. Hasegawa. "A multi-data acquisition controller for position sensitive detectors." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 268, no. 1 (May 1988): 225–28. http://dx.doi.org/10.1016/0168-9002(88)90611-0.

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36

Piqueras, A. I., V. Shah, S. A. Hulton, T. M. Barratt, and M. J. Dillon. "Tubular proteinuria in steroid sensitive multi-relapsing nephrotic syndrome." Pediatric Nephrology 8, no. 1 (February 1994): 3. http://dx.doi.org/10.1007/bf00868244.

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37

Yedugundla, Kiran, Simone Ferlin, Thomas Dreibholz, Özgü Alay, Nicolas Kuhn, Per Hurtig, and Anna Brunstrom. "Is multi-path transport suitable for latency sensitive traffic?" Computer Networks 105 (August 2016): 1–21. http://dx.doi.org/10.1016/j.comnet.2016.05.008.

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38

Jiao, Lixin, Lidong Wang, Fengquan Li, and Heng Liu. "On multi-sensitivity with respect to a vector." Modern Physics Letters B 32, no. 15 (May 24, 2018): 1850166. http://dx.doi.org/10.1142/s021798491850166x.

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Consider the surjective continuous map [Formula: see text]: [Formula: see text] defined on a compact metric space X. Let [Formula: see text] be the space of all non-empty compact subsets of X equipped with the Hausdorff metric and define [Formula: see text]: [Formula: see text] by [Formula: see text] for any [Formula: see text]. In this paper, we introduce several stronger versions of sensitivities, such as multi-sensitivity with respect to a vector, [Formula: see text]-sensitivity, strong multi-sensitivity. We obtain some basic properties of the concepts of these sensitivities and discuss the relationships with other sensitivities for continuous self-map on [0,[Formula: see text]1]. Some sufficient conditions for a dynamical system to be [Formula: see text]-sensitive are presented. Also, it is shown that the strong multi-sensitivity of f implies that [Formula: see text] is [Formula: see text]-sensitive. In turn, the [Formula: see text]-sensitivity of [Formula: see text] implies that [Formula: see text] is [Formula: see text]-sensitive. In particular, it is proved that if [Formula: see text] is a multi-transitive map with dense periodic sets, then f is [Formula: see text]-sensitive. Finally, we give a multi-sensitive example which is not [Formula: see text]-sensitive.

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39

Narducci, Margarita, Marco Ferrari, Vittorio Ferrari, and Humberto Campanella. "Aluminum Nitride SOI Lamb-wave Resonators towards Multi-frequency, Multi-sensitive Temperature Sensor Platform." Procedia Engineering 87 (2014): 1152–55. http://dx.doi.org/10.1016/j.proeng.2014.11.370.

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40

Nordhagen, Stella, Jennifer Nielsen, Tom van Mourik, Erin Smith, and Rolf Klemm. "Fostering CHANGE: Lessons from implementing a multi-country, multi-sector nutrition-sensitive agriculture project." Evaluation and Program Planning 77 (December 2019): 101695. http://dx.doi.org/10.1016/j.evalprogplan.2019.101695.

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41

Bourvil and Levi. "Multi-Level Trust Privacy Preserving Data Mining to Enhance Data Security and Prevent Leakage of the Sensitive Data." Bonfring International Journal of Industrial Engineering and Management Science 7, no. 2 (May 30, 2017): 21–25. http://dx.doi.org/10.9756/bijiems.8327.

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42

Wei, Tanyong, Qiulin Tan, Tao Luo, Guozhu Wu, Shun Tang, Dan-Dan Shen, Chen Li, and Jijun Xiong. "Modeling, simulation and coupling experiment for integrated passive wireless multi-parameters ceramic sensor." Sensor Review 36, no. 1 (January 18, 2016): 98–106. http://dx.doi.org/10.1108/sr-03-2015-0045.

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Purpose – The purpose of this paper is to propose a pressure-, temperature- and acceleration-sensitive structure-integrated inductor-capacitor (LC) resonant ceramic sensor to fulfill the measurement of multi-parameters, such as the measurement of pressure, temperature and acceleration, simultaneously in automotive, aerospace and aeronautics industries. Design/methodology/approach – The ceramic-based multi-parameter sensor was composed of three LC tanks, which have their resonant frequencies sensitive to pressure, temperature and acceleration separately. Two aspects from the specific sensitive structure design to the multiple signals reading technology are considered in designing the multi-parameter ceramic sensor. Theoretical analysis and ANSYS simulation are used in designing the sensitive structure, and MATLAB simulation and experiment are conducted to verify the feasibility of non-coverage of multi-readout signals. Findings – It is found that if the parameters of sensitive structure and layout of the LC tanks integrated into the sensor are proper, the implementation of a multi-parameter sensor could be feasible. Practical implications – The ceramic sensor proposed in the paper can measure pressure, temperature and acceleration simultaneously in harsh environments. Originality/value – The paper creatively proposes a pressure-, temperature- and acceleration-sensitive structure-integrated LC resonant ceramic sensor for harsh environments and verifies the feasibility of the sensor from sensitive structure design to multiple-signal reading.

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43

Xia, Fen, Yan-wu Yang, Liang Zhou, Fuxin Li, Min Cai, and Daniel D. Zeng. "A closed-form reduction of multi-class cost-sensitive learning to weighted multi-class learning." Pattern Recognition 42, no. 7 (July 2009): 1572–81. http://dx.doi.org/10.1016/j.patcog.2008.12.011.

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44

Cao, Xiao-Feng, Wei Kang, Quan Shi, and Fang-fang Shi. "Research on Adaptive Multi-filtering Model of Network Sensitive Information." Information Technology Journal 12, no. 17 (August 15, 2013): 3958–63. http://dx.doi.org/10.3923/itj.2013.3958.3963.

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45

Kim, Dong-Ho, Soon-Seok Kim, and Yong-Hee Lee. "Speed-Sensitive Handover Scheme over IEEE 802.16 Multi-Relay Networks." Journal of Information Processing Systems 6, no. 3 (September 30, 2010): 403–12. http://dx.doi.org/10.3745/jips.2010.6.3.403.

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46

de Hauwere, Yann-Michaël, Sam Devlin, Daniel Kudenko, and Ann Nowé. "Context-sensitive reward shaping for sparse interaction multi-agent systems." Knowledge Engineering Review 31, no. 1 (January 2016): 59–76. http://dx.doi.org/10.1017/s0269888915000193.

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AbstractPotential-based reward shaping is a commonly used approach in reinforcement learning to direct exploration based on prior knowledge. Both in single and multi-agent settings this technique speeds up learning without losing any theoretical convergence guarantees. However, if speed ups through reward shaping are to be achieved in multi-agent environments, a different shaping signal should be used for each context in which agents have a different subgoal or when agents are involved in a different interaction situation.This paper describes the use of context-aware potential functions in a multi-agent system in which the interactions between agents are sparse. This means that, unknown to the agentsa priori, the interactions between the agents only occur sporadically in certain regions of the state space. During these interactions, agents need to coordinate in order to reach the global optimal solution.We demonstrate how different reward shaping functions can be used on top of Future Coordinating Q-learning (FCQ-learning); an algorithm capable of automatically detecting when agents should take each other into consideration. Using FCQ-learning, coordination problems can even be anticipated before the actual problems occur, allowing the problems to be solved timely. We evaluate our approach on a range of gridworld problems, as well as a simulation of air traffic control.

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47

Gu, Y., J. C. Kirkman-Brown, Y. Korchev, C. L. R. Barratt, and S. J. Publicover. "Multi-state, 4-aminopyridine-sensitive ion channels in human spermatozoa." Developmental Biology 274, no. 2 (October 2004): 308–17. http://dx.doi.org/10.1016/j.ydbio.2004.06.025.

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48

Zhang, Zheng, Qi Zhu, Guo-Sen Xie, Yi Chen, Zhengming Li, and Shuihua Wang. "Discriminative margin-sensitive autoencoder for collective multi-view disease analysis." Neural Networks 123 (March 2020): 94–107. http://dx.doi.org/10.1016/j.neunet.2019.11.013.

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49

Chen, Cheng, Yihua Zhu, Hua Bao, Jianhua Shen, Hongliang Jiang, Liming Peng, Xiaoling Yang, Chunzhong Li, and Guorong Chen. "Ethanol-assisted multi-sensitive poly(vinyl alcohol) photonic crystal sensor." Chemical Communications 47, no. 19 (2011): 5530. http://dx.doi.org/10.1039/c1cc10957j.

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50

Hoeher, Robin, Thomas Raidt, Frank Katzenberg, and Joerg C. Tiller. "Heating Rate Sensitive Multi-Shape Memory Polypropylene: A Predictive Material." ACS Applied Materials & Interfaces 8, no. 22 (May 23, 2016): 13684–87. http://dx.doi.org/10.1021/acsami.6b04177.

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