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Journal articles on the topic 'Information characteristic'

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Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

Ohtaki, Shintaro, and Hiroshi Igarashi. "WeD-4-5 Evaluation of Human Characteristic by Visual Information." Proceedings of JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment : IIP/ISPS joint MIPE 2015 (2015): _WeD—4–5–1—_WeD—4–5–3. http://dx.doi.org/10.1299/jsmemipe.2015._wed-4-5-1.

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2

Park, Kwang O. "The Effects of Information Characteristic on Information Capabilities." Journal of the Korea Contents Association 13, no. 12 (December 28, 2013): 389–401. http://dx.doi.org/10.5392/jkca.2013.13.12.389.

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3

Rówińska, Małgorzata. "Relevance – Fundamental Characteristic of Financial Information?" Zeszyty Naukowe Uniwersytetu Szczecińskiego Finanse Rynki Finansowe Ubezpieczenia 80 (2016): 517–23. http://dx.doi.org/10.18276/frfu.2016.2.80/2-55.

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4

Albarda, Albarda. "Characteristics in Classification of Information Use (IU)." International Journal of Informatics and Communication Technology (IJ-ICT) 3, no. 3 (December 1, 2014): 178. http://dx.doi.org/10.11591/ijict.v3i3.pp178-185.

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Conventionally, information quality or IQ used in most researches and also in practice as dimensions of characteristics which inherent in valuable information. IQ is characteristic measures based on information production processes. As a result, it may not be a valuable for its users and even for enterprise value. Our approach is to define a new information characteristic based on process of information consumption or usage, called IU as complement to IQ. The characteristics in IU consists of two dimensions ie: (i) conformity on repackaging and (ii) originality on exchange information for users. Parameters for this dimensions acquired using features extraction from IU process in each layer of enterprise management. The paper also describes how to apply the new characteristics practically to provide a higher information values for enterprise.

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5

Li, Xiu Zheng, and De Yun Yang. "On Image Decompression with Embedded Characteristic Information." Applied Mechanics and Materials 130-134 (October 2011): 2166–69. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.2166.

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Since the internet has become a main method of image's transmission and storage, how to prevent illegal diffusion for some images deserves wide attention and discussion. This paper introduces an effective method of registering the decode program with the personal characteristic information. To guarantee the ownership and the integrity of the image data, with processed chaotic sequence or random sequences, the installation procedure produces distinctive registering numbers which indicate the users’ information.

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6

Ebanks, Bruce R. "Generalized characteristic equation of branching information measures." Aequationes Mathematicae 37, no. 2-3 (June 1989): 162–78. http://dx.doi.org/10.1007/bf01836442.

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7

Zhang, Zhengmin. "Inequalities for characteristic functions involving Fisher information." Comptes Rendus Mathematique 344, no. 5 (March 2007): 327–30. http://dx.doi.org/10.1016/j.crma.2007.01.008.

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8

Banerjee, Bitan, Anand Seetharam, Amitava Mukherjee, and Mrinal Kanti Naskar. "Characteristic time routing in information centric networks." Computer Networks 113 (February 2017): 148–58. http://dx.doi.org/10.1016/j.comnet.2016.12.009.

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9

Saravanan, D., and Y. Immanuel. "Video Information recantation using picture characteristic method." Journal of Physics: Conference Series 1770, no. 1 (March 1, 2021): 012024. http://dx.doi.org/10.1088/1742-6596/1770/1/012024.

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10

Oh, Hyo-Kyoung, and Dae-Young Ko. "Effects Characteristic of Accounting Information System Cause on Accounting Information System Performance." Journal of Industrial Economics and Business 31, no. 5 (October 31, 2018): 1673–91. http://dx.doi.org/10.22558/jieb.2018.10.31.5.1673.

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Li, Yu Ying, Huan Li Zhang, Shi Liang Zhang, and Wei Rong Chen. "Generation and Identification for F-Recursive Genetic Information." Applied Mechanics and Materials 475-476 (December 2013): 1055–59. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.1055.

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The P-sets consists of an internal P-set and an outer P-set . It has dynamic characteristics. In order to obtain a new method of generation and identification information, the paper proposes the concepts of-recursive genetic information and-recursive genetic degree by using the dynamic characteristic of the internal P-set. Also the structure and characteristics about-recursive genetic information are given, including the the identification theorems and the identification criterions for the-recursive genetic information. Finally, the application example of the-recursive genetic information is provided. The structure of the-recursive genetic information is a new mathematical tool to process informaiton that has inward contraction characteristic.

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12

Borg, Anton, and Martin Boldt. "Clustering Residential Burglaries Using Modus Operandi and Spatiotemporal Information." International Journal of Information Technology & Decision Making 15, no. 01 (January 2016): 23–42. http://dx.doi.org/10.1142/s0219622015500339.

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To identify series of residential burglaries, detecting linked crimes performed by the same constellations of criminals is necessary. Comparison of crime reports today is difficult as crime reports traditionally have been written as unstructured text and often lack a common information-basis. Based on a novel process for collecting structured crime scene information, the present study investigates the use of clustering algorithms to group similar crime reports based on combined crime characteristics from the structured form. Clustering quality is measured using Connectivity and Silhouette index (SI), stability using Jaccard index, and accuracy is measured using Rand index (RI) and a Series Rand index (SRI). The performance of clustering using combined characteristics was compared with spatial characteristic. The results suggest that the combined characteristics perform better or similar to the spatial characteristic. In terms of practical significance, the presented clustering approach is capable of clustering cases using a broader decision basis.

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13

Jiang, Bing, Rong Duan, and Zuo Wang. "Research on the Characteristic of Social Information Ground’s Spatial Structure and Information Dynamics." Applied Mechanics and Materials 631-632 (September 2014): 142–46. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.142.

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Based on Entropy and dissipative structure theory, the structural model of social information field space is explored in this paper. Studies have shown that a relatively independent complex social system is posed by all kinds of "information men". And because of interconnected relationship and mutual transformation among "information men", it develops into a social group or social organization with the characteristics of mathematics.A complex system of society is finally regard as a "superior" constituted by different social groups according to certain rules.

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14

Xu, Ning, Jing Fang Guo, and Jin Fang Han. "Measurements and Mathematical Characterization of Uncertain Information." Applied Mechanics and Materials 530-531 (February 2014): 591–96. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.591.

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This paper, the problems of mathematical characteristics and measurements for three kind of uncertainty information are descussed by means of the logical analysis method. Firstly, By virtue of the analysis for the importance of uncertain information research in scientific development, a research chain: uncertainty informationinformation theorycomplexity is presented. Secondly, the mathematical characterization and measurements for three kind of uncertainty information are obtained in terms of the characteristic analysis for uncertain information .

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15

Liu, Shuai, Carlo Cattani, and Yudong Zhang. "Introduction of Fractal Based Information Processing and Recognition." Applied Sciences 9, no. 7 (March 28, 2019): 1297. http://dx.doi.org/10.3390/app9071297.

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16

Choi, Daeyoung, and Wonjong Rhee. "Utilizing Class Information for Deep Network Representation Shaping." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3396–403. http://dx.doi.org/10.1609/aaai.v33i01.33013396.

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Statistical characteristics of deep network representations, such as sparsity and correlation, are known to be relevant to the performance and interpretability of deep learning. When a statistical characteristic is desired, often an adequate regularizer can be designed and applied during the training phase. Typically, such a regularizer aims to manipulate a statistical characteristic over all classes together. For classification tasks, however, it might be advantageous to enforce the desired characteristic per class such that different classes can be better distinguished. Motivated by the idea, we design two class-wise regularizers that explicitly utilize class information: class-wise Covariance Regularizer (cw-CR) and classwise Variance Regularizer (cw-VR). cw-CR targets to reduce the covariance of representations calculated from the same class samples for encouraging feature independence. cw-VR is similar, but variance instead of covariance is targeted to improve feature compactness. For the sake of completeness, their counterparts without using class information, Covariance Regularizer (CR) and Variance Regularizer (VR), are considered together. The four regularizers are conceptually simple and computationally very efficient, and the visualization shows that the regularizers indeed perform distinct representation shaping. In terms of classification performance, significant improvements over the baseline and L1/L2 weight regularization methods were found for 21 out of 22 tasks over popular benchmark datasets. In particular, cw-VR achieved the best performance for 13 tasks including ResNet-32/110.

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Yablochnikov, Sergey, Mikhail Kuptsov, and Maksim Mahiboroda. "Modeling of Information Processes in Social Networks." Information 12, no. 3 (March 9, 2021): 116. http://dx.doi.org/10.3390/info12030116.

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In order to model information dissemination in social networks, a special methodology of sampling statistical data formation has been implemented. The probability distribution laws of various characteristics of personal and group accounts in four social networks are investigated. Stochastic aspects of interrelations between these indicators were analyzed. The classification of groups of social network users is proposed, and their characteristic features and main empirical regularities of mutual transitions are marked. Regression models of forecasting changes in the number of users of the selected groups have been obtained.

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18

Lee, Dong-Ho, and Seok-Yong Lee. "Evaluation of Island Tourism Information Characteristic Using the IPA." Journal of the Korea Academia-Industrial cooperation Society 12, no. 1 (January 31, 2011): 248–54. http://dx.doi.org/10.5762/kais.2011.12.1.248.

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19

YANG, Xi-bei, Jing-yu YANG, Chen WU, and Dong-jun YU. "Further Investigation of Characteristic Relation in Incomplete Information System." Systems Engineering - Theory & Practice 27, no. 6 (June 2007): 155–60. http://dx.doi.org/10.1016/s1874-8651(08)60039-3.

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20

Sen, K. D. "Characteristic features of Shannon information entropy of confined atoms." Journal of Chemical Physics 123, no. 7 (August 15, 2005): 074110. http://dx.doi.org/10.1063/1.2008212.

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21

OHTAKI, Shintaro, and Hiroshi IGARASHI. "2P1-M05 Evalution of Human Characteristic by Visual Information." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2015 (2015): _2P1—M05_1—_2P1—M05_2. http://dx.doi.org/10.1299/jsmermd.2015._2p1-m05_1.

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22

Horova, Svіtlana, and Valery Horovyi. "Information Communications of Postindustrial Society: Characteristic Features of Development." Naukovì pracì Nacìonalʹnoï bìblìoteki Ukraïni ìmenì V Ì Vernadsʹkogo, no. 52 (October 18, 2019): 11–23. http://dx.doi.org/10.15407/np.52.011.

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23

Guo, Nian Qin, and Hai Yan Zhu. "The Research on Mining and Metallurgy Characteristic Information System." Applied Mechanics and Materials 380-384 (August 2013): 1982–85. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1982.

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Most of mining and metallurgy industries are the mining, metallurgical enterprises that are located in mountainous or remote areas and far away from the city, so the information resources are isolated. Especially for the information dynamic of the mining, the characteristic information resources of industry are more difficult to find. This system can realize the information integration of mining and metallurgy industry, provide the electronic trading and literature service, and realize the visualization of the ore dressing process flow by using virtual technology. The program was proceed using C# in this system, and the develop was proceed in the .NET platform, and the SQL SERVER2008 was as background database.

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24

Zhu, Xiaoxun, Jianhong Zhao, Dongnan Hou, and Zhonghe Han. "An SDP Characteristic Information Fusion-Based CNN Vibration Fault Diagnosis Method." Shock and Vibration 2019 (March 31, 2019): 1–14. http://dx.doi.org/10.1155/2019/3926963.

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This study proposes a symmetrized dot pattern (SDP) characteristic information fusion-based convolutional neural network (CNN) fault diagnosis method to resolve issues of high complexity, nonlinearity, and instability in original rotor vibration signals. The method was used to conduct information fusion of real modal components of vibration signals and SDP image identification using CNN in order to achieve vibration fault diagnosis. Compared with other graphic processing methods, the proposed method more fully expressed the characteristics of different vibration signals and thus presented variations between different vibration states in a simpler and more intuitive way. The proposed method was experimentally investigated using simulation signals and rotor test-rig signals, and its validity and advancements were demonstrated using experimental analysis. By using CNN through deep learning to adaptively extract SDP characteristic information, vibration fault identification was ultimately realized.

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25

Smalheiser, Neil R., Wei Zhou, and Vetle I. Torvik. "Distribution of “Characteristic” Terms in MEDLINE Literatures." Information 2, no. 2 (March 30, 2011): 266–76. http://dx.doi.org/10.3390/info2020266.

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26

Božilović, Boško, Branislav M. Todorović, and Miroslav Obradović. "Text–Independent Speaker Recognition Using Two–Dimensional Information Entropy." Journal of Electrical Engineering 66, no. 3 (May 1, 2015): 169–73. http://dx.doi.org/10.2478/jee-2015-0027.

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AbstractSpeaker recognition is the process of automatically recognizing who is speaking on the basis of speaker specific characteristics included in the speech signal. These speaker specific characteristics are called features. Over the past decades, extensive research has been carried out on various possible speech signal features obtained from signal in time or frequency domain. The objective of this paper is to introduce two-dimensional information entropy as a new text-independent speaker recognition feature. Computations are performed in time domain with real numbers exclusively. Experimental results show that the two-dimensional information entropy is a speaker specific characteristic, useful for speaker recognition.

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27

Nie, Chun Yan, Rui Li, and Wan Li Zhang. "Research of Extracting Information about Reservoir Logging Signals Based on Chaos Characteristics." Applied Mechanics and Materials 380-384 (August 2013): 3742–45. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3742.

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The mechanism of logging signals generating was researched. In the same time, correlation dimension, largest Lyapunov exponent and approximate entropy of chaotic characteristics were extracted. On this basis, chaotic characteristic parameters were applied in processing, analysis and interpretation, try to find chaotic characteristics of different of reservoirs for example oil, water layer and the dry layer. The results showed that chaos characteristics in different reservoir is different, therefore, we can distinguish the different natures of reservoirs by extracting chaos characteristics.

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28

Gao, Lei Lei, and Xin Tao Xia. "Poor Information Analysis of Rolling Bearing Friction Torque Characteristic Parameter Based on Phase Space." Advanced Materials Research 382 (November 2011): 167–71. http://dx.doi.org/10.4028/www.scientific.net/amr.382.167.

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The friction torque of rolling bearings belongs to an information poor system with unknown probability distributions and trends. This counteracts dynamical assessment for the characteristics of the rolling bearing friction torque as a time series. For this reason, the chaos theory is employed to recover the original dynamic characteristics of a friction torque time series by means of the phase space reconstruction theory. The dynamical Bayesian probability density function of the characteristic parameters of the friction torque is constructed by the information poor theory based on the phase space. The method for point estimation, interval estimation, and trend estimation of the characteristic parameters is proposed in this paper. The investigation shows that the error between the calculated result and the experimental result is very small.

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29

Shtompel, H. "INFORMATION INTERACTION AS A BASIC CHARACTERISTIC OF THE INFORMATION CULTURE OF THE FUTURE SPECIALIST’S PERSONALITY." Pedagogy of the formation of a creative person in higher and secondary schools 3, no. 69 (2020): 182–86. http://dx.doi.org/10.32840/1992-5786.2020.69-3.37.

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Shtompel, H. V. "INFORMATION INTERACTION AS A BASIC CHARACTERISTIC OF THE INFORMATION CULTURE OF THE FUTURE SPECIALIST'S PERSONALITY." Innovate Pedagogy 2, no. 23 (2020): 129–33. http://dx.doi.org/10.32843/2663-6085/2020/23-2.26.

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31

Penone, Caterina, Christian Kerbiriou, Jean-François Julien, Julie Marmet, and Isabelle Le Viol. "Body size information in large-scale acoustic bat databases." PeerJ 6 (August 24, 2018): e5370. http://dx.doi.org/10.7717/peerj.5370.

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Background Citizen monitoring programs using acoustic data have been useful for detecting population and community patterns. However, they have rarely been used to study broad scale patterns of species traits. We assessed the potential of acoustic data to detect broad scale patterns in body size. We compared geographical patterns in body size with acoustic signals in the bat species Pipistrellus pipistrellus. Given the correlation between body size and acoustic characteristics, we expected to see similar results when analyzing the relationships of body size and acoustic signals with climatic variables. Methods We assessed body size using forearm length measurements of 1,359 bats, captured by mist nets in France. For acoustic analyses, we used an extensive dataset collected through the French citizen bat survey. We isolated each bat echolocation call (n = 4,783) and performed automatic measures of signals, including the frequency of the flattest part of the calls (characteristic frequency). We then examined the relationship between forearm length, characteristic frequencies, and two components resulting from principal component analysis for geographic (latitude, longitude) and climatic variables. Results Forearm length was positively correlated with higher precipitation, lower seasonality, and lower temperatures. Lower characteristic frequencies (i.e., larger body size) were mostly related to lower temperatures and northern latitudes. While conducted on different datasets, the two analyses provided congruent results. Discussion Acoustic data from citizen science programs can thus be useful for the detection of large-scale patterns in body size. This first analysis offers a new perspective for the use of large acoustic databases to explore biological patterns and to address both theoretical and applied questions.

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GOTO, Kimiko, Tetsuto MINAMI, Michiteru KITAZAKI, and Shigeki NAKAUCHI. "EFFECT OF COLOR INFORMATION ON FACE PROCESSING AND TIME CHARACTERISTIC." Transactions of Japan Society of Kansei Engineering 8, no. 3 (2009): 527–34. http://dx.doi.org/10.5057/jjske.8.527.

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33

HAN, Jia, Ruliang XIAO, Yao HU, Tao TANG, and Lina FANG. "Characteristic analysis of information propagation pattern in online social network." Journal of Computer Applications 33, no. 1 (September 22, 2013): 105–7. http://dx.doi.org/10.3724/sp.j.1087.2013.00105.

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34

Dichko, H. O., O. H. Aleksieiev, M. A. Anishchenko, and L. S. Hamburh. "MEDICAL SECRET AND CASES OF MEDICAL INFORMATION LEGAL DISCLOSURE CHARACTERISTIC." Comparative-analytical law 3 (2019): 126–30. http://dx.doi.org/10.32782/2524-0390/2019.3.31.

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35

Patil, S. H., K. D. Sen, N. A. Watson, and H. E. Montgomery. "Characteristic features of net information measures for constrained Coulomb potentials." Journal of Physics B: Atomic, Molecular and Optical Physics 40, no. 11 (May 24, 2007): 2147–62. http://dx.doi.org/10.1088/0953-4075/40/11/016.

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36

He, jun, and Mingtian Zhou. "Multilevel index structure for information filtering based on user characteristic." Journal of Electronics (China) 18, no. 3 (July 2001): 267–71. http://dx.doi.org/10.1007/s11767-001-0037-0.

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37

Wang, Pu, Wei Chen, Jinjing Huang, Yuyang Wei, Junhua Fang, and Lei Zhao. "Location prediction for facility placement by incorporating multi-characteristic information." Intelligent Data Analysis 25, no. 5 (September 15, 2021): 1187–210. http://dx.doi.org/10.3233/ida-205420.

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In the course of recommending locations for establishing new facilities on urban planning or commercial programming, the location prediction offers the optimal candidates, which maximizes the number of served customers or minimize customer inconvenience, therefore brings the maximum profits. In most existing studies, only the spatial-temporal features are recognized to evaluate the location popularity, where social relationships of customers, which are significant factors for popularity assessing, have been ignored. Additionally, current researches also fail to take capacities and categories of the facilities into consideration. To overcome the drawbacks, we introduce a novel model of Multi-characteristic Information based Top-k Location Prediction (MITLP), it captures the spatio-temporal behaviors of customers based on historical trajectories, exploits the social relevancy from their friend relationships, as well as examines the category competitiveness of specific facilities thoroughly. Subsequently, by drawing on the feature evaluation and popularity quantization, MITLP will be implemented within a hybrid B-tree-liked recommending framework, Constrained Location and Social-Trajectory Clustered forest (CLSTC-forest), which can not only produce better performance in practice but also address the facility service constraints. Finally, extensive experiments conducted on real-world datasets demonstrate the higher efficiency and effectiveness of the proposed model.

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38

Glänzel, Wolfgang, and András Schubert. "Characteristic scores and scales in assessing citation impact." Journal of Information Science 14, no. 2 (April 1988): 123–27. http://dx.doi.org/10.1177/016555158801400208.

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Cui, Jian Guo, Wei Zhao, Hong Mei Zhang, Rui Lv, and Peng Shi. "Intelligent Health Diagnosis Method for Aircraft Based on Multi-Source Information Fusion." Advanced Materials Research 225-226 (April 2011): 475–78. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.475.

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In order to diagnose the health status of aircraft effectively, a health diagnosis method based on D-S evidence theory is proposed. Firstly, this method apperceives the healthy information of a real aircraft stabilizer with real time by using AE(Acoustic Emission, AE) detecting system. Secondly, use the wavelet transform to extract feature of the AE signal, including three characteristics of maximum value (MA), singular value (SVD), standard deviation (STD) to set up characteristic vector, then using GRNN and BP neural network to classify the characteristic vector. Finally, D-S evidence theory is used for decision reasoning. Therefore, The Health State of aircraft can be diagnosed. Experiments show that the monitor has good performance to recognize and diagnose the fatigue crack of aircraft structural parts, which is proposed to be effective.

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40

Bartoli, Daniele, and Matteo Bonini. "Minimal Linear Codes in Odd Characteristic." IEEE Transactions on Information Theory 65, no. 7 (July 2019): 4152–55. http://dx.doi.org/10.1109/tit.2019.2891992.

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Mesnager, Sihem, Yanfeng Qi, Hongming Ru, and Chunming Tang. "Minimal Linear Codes From Characteristic Functions." IEEE Transactions on Information Theory 66, no. 9 (September 2020): 5404–13. http://dx.doi.org/10.1109/tit.2020.2978387.

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Ding, Pingjian, Xiangtao Chen, and Zipin Guan. "Meta-Path Based Inductive Classification in Heterogeneous Information Networks." Journal of Computational and Theoretical Nanoscience 13, no. 10 (October 1, 2016): 6747–53. http://dx.doi.org/10.1166/jctn.2016.5623.

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The goal of inductive classification approaches is to infer the correct mapping from test set to labels, while the goal of transductive inference is to predict the correct labels for the given unlabeled data. Hence, the increased unlabeled samples can’t be classified by transductive classification. In this paper, we focus on studying the inductive classification problems in heterogeneous networks, which involve multiple types of objects interconnected by multiple types of links. Moreover, the objects and the links are gradually increasing over time. To accommodate characteristics of heterogeneous networks, a meta-path-based heterogeneous inductive classification (Hic) was proposed. First, the different sub-networks were constructed according to the selected meta-path. Second, the characteristic paths of each sub-network were extracted via the specified minimum support, and were assigned appropriate weights. Then, Hic model based on characteristic path was built. Finally, the Hic scores of each classification label for each test sample was calculated via links between test samples and sub-networks. Experiments on the DBLP showed that the proposed method significantly improves the accuracy and stability over the existing state-of-the-art methods for classification in dynamic heterogeneous network.

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Pham, Thuan Quoc. "Relevance of financial reporting quality - Theory and practice in Vietnamese enterprises." Science & Technology Development Journal - Economics - Law and Management 1, Q2 (November 30, 2017): 119–28. http://dx.doi.org/10.32508/stdjelm.v1iq2.443.

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Financial reporting quality is one the most interesting topics which draw a great deal of attention to researchers and scientists in the field of accounting (Céline Michailesco, 2010). In the review of research on financial information from 1980 to 2016, Pham (2016) found that characteristics of useful financial information are relatively diverse with as many as 15 attributes being identified. In addition, he also found that all research in any period has employed the characteristics published by professional associations such as American Institute of Accountants, Financial Accounting Standards Board (FASB) and the International Accounting Standards Board (IASB as theoretical basis. Research on the quality of financial information is diverse yet have many things in common, above all is the Relevance characteristic which considered to be the basic qualitative component of the quality of financial information in financial statements. Conceptual Framework officially issued by FASB & IASB in 2010 (FASB & IASB 2010) has further confirmed Relevance is the basic quality component of financial information. Compared with previous announcements, there has been a considerable change in the criteria and attributes used to evaluate the appropriateness of Relevance characteristic of financial information in financial statements. This study aims at confirming the importance of the Relevance component in evaluating the quality of financial information, clarifyingg the characteristics of Relevance measurement before and after Conceptual Framework 2010 and constructing relevant scales as well as measuring the qualitative characteristic of Relevance among enterprises in Vietnam.

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Razali, Suriyati, and Wan Adilah Wan Adnan. "Evaluation of “Instantiation” for Cultural Heritage Information System." International Journal of Engineering & Technology 7, no. 4.33 (December 9, 2018): 37. http://dx.doi.org/10.14419/ijet.v7i4.33.23480.

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This paper presents the evaluation of “Instantiation” for cultural heritage information system. Within social-technical concerned, the soft design science was used as an approach to create “Instantiation” as IT artifacts. The evaluation of “Instantiation” was performed based on the “functionalities characteristic” evaluation criteria. Explanation on how the verification study was conducted to evaluate constructed instantiation according to five sub-characteristics of “functionality” named as accuracy, suitability, interoperability, security, and functionality compliance is also presented. Finally, this paper concludes the results of applying information quality by highlighting the feedback that shows the “Instantiation” created has been accepted among the museum and cultural heritage community.

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Salmanov, V. I. "INFORMATION RELIABILITY ENHANCEMENT METHODS." Chronos: natural and technical sciences 6, no. 3(36) (October 3, 2021): 3–5. http://dx.doi.org/10.52013/2712-9691-36-3-1.

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Information reliability is the property of information to reflect real-world objects with the necessary accuracy. The reliability of information is an essential characteristic of any communication system. It is found that in modern network architectures of test automation systems, the main problem in the field of enhancement of the reliability of information is the creation of methods aimed at solving the problem of enhancing the reliability for «real» time systems.

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Hu, Nai Jing. "Construction of Financial Information Education Platform Based on Information Technology." Advanced Materials Research 798-799 (September 2013): 603–7. http://dx.doi.org/10.4028/www.scientific.net/amr.798-799.603.

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The financial information technology talents with practical abilities are an important guarantee for the successful construction of Shanghai as an international financial center. This thesis analyzes, from the perspective of market demand, the current situations about cultivation of financial information technology talents and insufficient cultivation of the same, exemplified by construction of a financial information education platform, discusses the reform of finance-oriented innovative cultivation modes, the double-line course system characteristic of the financial industry, and financial practice embodied as experiment, and explores the feasibility of the abovementioned items, so as to improve the cultivation of financial information technology talents professional abilities.

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Et.al, Sun-Ae Park. "Implementation of Returning Farmers Database Set Using Characteristics Information And Local Environment Information." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 10, 2021): 680–86. http://dx.doi.org/10.17762/turcomat.v12i6.2070.

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In recent years, returning farms are attracting attention as a new way of life from urbanites who are about to retire. Returning farming means that the population living in the city leaves the city and continues a new form of life in rural areas. In other words, the fever of returning farming and returning villages is increasing, and the present is called the era of returning farming. As interest in returning farms increases, it is essential to provide accurate information for a successful return to farming life. Therefore, in this paper, a set of returned farmers database was constructed to provide information related to returning farmers with improved reliability and accuracy. To this end, personal characteristic information of returnees and local environmental information were linked. In addition, a set of databases for returning farmers was constructed using population movement statistics and agricultural management database. In this paper, data necessary for service development were selected and collected. In addition, a total of three types of service scenarios were created according to the type of use of returnees, and information on customized policy projects for returnees were constructed. Finally, an exploratory analysis of the collected data was conducted. In other words, refinement work was carried out to build the utilized database set, and the database set was constructed according to the purpose of use. As a result, the agricultural support information and the agricultural management body database were used based on the basic characteristic information of the returnees to provide selective customized information and establish a database set to improve reliability. Through this, it is possible to provide a customized service for anyone interested in returning to farming to easily access the farming information database set and obtain related information.

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Zhao, Xin, Ping Wang, Chao Chen, Tao Jiang, Zhigang Yu, and Biyun Guo. "Waterbody information extraction from remote-sensing images after disasters based on spectral information and characteristic knowledge." International Journal of Remote Sensing 38, no. 5 (January 31, 2017): 1404–22. http://dx.doi.org/10.1080/01431161.2016.1278284.

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Liu, Jinming, Hao Chen, and Shuting Yang. "Research on Building DSM Fusion Method Based on Adaptive Spline and Target Characteristic Guidance." Information 12, no. 11 (November 10, 2021): 467. http://dx.doi.org/10.3390/info12110467.

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In order to adapt to the actual scene of a stereo satellite observing the same area sequentially and improve the accuracy of the target-oriented 3D reconstruction, this paper proposed a building DSM fusion update method based on adaptive splines and target characteristic guidance. This method analyzed the target characteristics of surface building targets to explore their intrinsic geometric structure information, established a nonlinear fusion method guided by the target characteristics to achieve the effective fusion of multiple DSMs on the basis of maintaining the target structural characteristics, and supported the online updating of DSM to ensure the needs of practical engineering applications. This paper presented a DSM fusion method for surface building targets and finally conducted DSM fusion experiments using typical urban area images of different scenes. The experimental results showed that the proposed method can effectively constrain and improve the DSM of buildings, and the integrity of the overall construction of the target 3D model structure was significantly improved, indicating that this paper provides an effective and efficient DSM constraint method for buildings.

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Bilal Ahmad Ali Al-khateeb and Mohammad Abdel-Hammed Ali Al-Hussein. "Communication Strategies and Information Choice Strategy of the Arab Tourists." International Journal of Customer Relationship Marketing and Management 11, no. 4 (October 2020): 36–47. http://dx.doi.org/10.4018/ijcrmm.2020100103.

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The main purpose of this study is to examine the mediating role of situational characteristics on the relationship between communication strategies and information choice strategy of the Arab tourists in Malaysia. The study adopted a cross-sectional design with a quantitative survey approach. Overall, the study finds that situational characteristics significantly mediate the influence of information source on the information choice strategy of the Arab tourists but not on the relationship between information source and information choice. The study therefore concludes among others that situational characteristic can only explain the influence of information channels on the information choice strategy but not on the influence of information source on the information choice strategy.

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