Skip to main content
Top
Published in: Neural Processing Letters 4/2021

30-04-2020

RETRACTED ARTICLE: Intelligent Crime Prevention and Control Big Data Analysis System Based on Imaging and Capsule Network Model

Authors: Yijun Cai, Dian Li, Yuyue Wang

Published in: Neural Processing Letters | Issue 4/2021

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

With the rapid development of China’s national economy, the effects of traditional public security management methods have been greatly weakened, and various new types of criminal activities have continued to occur. Social development has gradually separated from the previous model, and new social contradictions have become prominent. These social contradictions not only impact the lifestyle of ordinary individuals, but also affect the development of society. The data contains the laws of social development and crime governance. How criminal governance adapts to the big data wave has become the key to carrying out the number management in the three-dimensional security prevention and control. The data culture has promoted the transformation of the social governance model and has also led to the transformation of the social science research paradigm. At present, most of the research on big data is only from the perspective of informatics, and there is not much discussion about big data from the legal system level. With the advent of the era of big data, a series of problems have come along. In addition to strengthening the security of the big data operation process at the technical level, it is necessary to strengthen research from a technical level. In this paper, we propose a smart crime prevention and control big data analysis system based on machine Internet of Things and industrial object system. The experimental results show that the proposed method has higher data collection rate and crime prevention and control efficiency.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Luo W (2009) Intrusion detection and video surveillance. Chinese People’s Public Security University Press, Beijing Luo W (2009) Intrusion detection and video surveillance. Chinese People’s Public Security University Press, Beijing
2.
go back to reference Chen T et al (2015) National governance in the age of big data. China Social Science Press, Beijing, p 10 Chen T et al (2015) National governance in the age of big data. China Social Science Press, Beijing, p 10
3.
go back to reference Tu Z (2014) The data: the big data revolution, history, reality and future, vol 27. CITIC Publishing House, Beijing, pp 258–259 Tu Z (2014) The data: the big data revolution, history, reality and future, vol 27. CITIC Publishing House, Beijing, pp 258–259
4.
go back to reference Lu X, Qu Z, Li Q et al (2015) Privacy information security classification for internet of things based on internet data. Int J Distrib Sens Netw 2015(6):23 Lu X, Qu Z, Li Q et al (2015) Privacy information security classification for internet of things based on internet data. Int J Distrib Sens Netw 2015(6):23
5.
go back to reference Perrone G, Vecchio M, Pecori R et al. (2017) The day after mirai: a survey on MQTT security solutions after the largest cyber-attack carried out through an Army of IoT devices: international conference on internet of things, big data and security Perrone G, Vecchio M, Pecori R et al. (2017) The day after mirai: a survey on MQTT security solutions after the largest cyber-attack carried out through an Army of IoT devices: international conference on internet of things, big data and security
6.
go back to reference Cui L, Ma W, Zhao W et al (2017) Overview of botnets. Inf Secur Res 07:589–600 Cui L, Ma W, Zhao W et al (2017) Overview of botnets. Inf Secur Res 07:589–600
7.
go back to reference Chen Q, Zhang G, Yang X, Li S, Li Y, Wang HH (2018) Single image shadow detection and removal based on feature fusion and multiple dictionary learning. Multimed Tools Appl 77(14):18601–18624CrossRef Chen Q, Zhang G, Yang X, Li S, Li Y, Wang HH (2018) Single image shadow detection and removal based on feature fusion and multiple dictionary learning. Multimed Tools Appl 77(14):18601–18624CrossRef
8.
go back to reference Ahmed SB, Naz S, Swati S, Razzak MI (2019) Handwritten Urdu character recognition using one-dimensional BLSTM classifier. Neural Comput Appl 31(4):1143–1151CrossRef Ahmed SB, Naz S, Swati S, Razzak MI (2019) Handwritten Urdu character recognition using one-dimensional BLSTM classifier. Neural Comput Appl 31(4):1143–1151CrossRef
9.
go back to reference Huang C, Lin W, Lai C, Li X, Jin Y, Yong Q (2019) Coupling the post-extraction process to remove residual lignin and alter the recalcitrant structures for improving the enzymatic digestibility of acid-pretreated bamboo residues. Biores Technol 285:121355CrossRef Huang C, Lin W, Lai C, Li X, Jin Y, Yong Q (2019) Coupling the post-extraction process to remove residual lignin and alter the recalcitrant structures for improving the enzymatic digestibility of acid-pretreated bamboo residues. Biores Technol 285:121355CrossRef
10.
go back to reference Choi C, Esposito C, Wang H, Liu Z, Choi J (2018) Intelligent power equipment management based on distributed context-aware inference in smart cities. IEEE Commun Mag 56(7):212–217CrossRef Choi C, Esposito C, Wang H, Liu Z, Choi J (2018) Intelligent power equipment management based on distributed context-aware inference in smart cities. IEEE Commun Mag 56(7):212–217CrossRef
11.
go back to reference Wickes R (2010) Review of: crime and everyday life by marcus felson and rachel boba. Aust New Zealand J Criminol 43(2):383–385 Wickes R (2010) Review of: crime and everyday life by marcus felson and rachel boba. Aust New Zealand J Criminol 43(2):383–385
12.
go back to reference Kennedy LW, Forde DR (1996) Pathways to aggression: afactorial survey of “Routine conflict”. J Quant Criminol 12(4):417–438CrossRef Kennedy LW, Forde DR (1996) Pathways to aggression: afactorial survey of “Routine conflict”. J Quant Criminol 12(4):417–438CrossRef
13.
go back to reference Hayden CE (2009) James Wilson. Nat News 10(2):55–56 Hayden CE (2009) James Wilson. Nat News 10(2):55–56
14.
go back to reference Gilling D (2010) crime control and due process in confidence-building strategies: a governmentality perspective. Br J Criminol 50(6):1136–1154CrossRef Gilling D (2010) crime control and due process in confidence-building strategies: a governmentality perspective. Br J Criminol 50(6):1136–1154CrossRef
15.
go back to reference Pavlichin DS, Jiao J, Weissman T (2019) Approximate profile maximum likelihood. J Mach Learn Res 20(122):1–55MathSciNet Pavlichin DS, Jiao J, Weissman T (2019) Approximate profile maximum likelihood. J Mach Learn Res 20(122):1–55MathSciNet
17.
go back to reference Jiao J, Han Y, Fischer-Hwang I, Weissman T (2019) Estimating the fundamental limits is easier than achieving the fundamental limits. IEEE Trans Inf Theory 65(10):6704–6715MathSciNetCrossRef Jiao J, Han Y, Fischer-Hwang I, Weissman T (2019) Estimating the fundamental limits is easier than achieving the fundamental limits. IEEE Trans Inf Theory 65(10):6704–6715MathSciNetCrossRef
18.
go back to reference Zhang S, Wang H, Huang W (2017) Two-stage plant species recognition by local mean clustering and Weighted sparse representation classification. Cluster Comput 20(2):1517–1525CrossRef Zhang S, Wang H, Huang W (2017) Two-stage plant species recognition by local mean clustering and Weighted sparse representation classification. Cluster Comput 20(2):1517–1525CrossRef
19.
go back to reference Li F, Ye Y, Tian Z, Zhang X (2019) CPU versus GPU: which can perform matrix computation faster—performance comparison for basic linear algebra subprograms. Neural Comput Appl 31(8):4353–4365CrossRef Li F, Ye Y, Tian Z, Zhang X (2019) CPU versus GPU: which can perform matrix computation faster—performance comparison for basic linear algebra subprograms. Neural Comput Appl 31(8):4353–4365CrossRef
20.
go back to reference Akira M, Noboru N, Kazunobu I (2005) Development of robot tractor using the low-cost GPS/INS system. ASAE meeting presentation. Paper number. 051138 Akira M, Noboru N, Kazunobu I (2005) Development of robot tractor using the low-cost GPS/INS system. ASAE meeting presentation. Paper number. 051138
21.
go back to reference Annamalai R, Lee WS, Burks TF (2004) Color vision system for estimating citrus yield in real-time. ASAE/CSAE Annual international meeting Annamalai R, Lee WS, Burks TF (2004) Color vision system for estimating citrus yield in real-time. ASAE/CSAE Annual international meeting
22.
go back to reference Bastiaanssen WGM, Ali S (2003) A new crop yield forecasting based based on satellite measurements applied across the Indus Basin, Pakistan. Agr Ecosyst Environ 94:321–340CrossRef Bastiaanssen WGM, Ali S (2003) A new crop yield forecasting based based on satellite measurements applied across the Indus Basin, Pakistan. Agr Ecosyst Environ 94:321–340CrossRef
24.
go back to reference Zhang S, Wang H, Huang W, You Z (2018) Plant diseased leaf segmentation and recognition by fusion of superpixel, K-means and PHOG. Optik 157:866–872CrossRef Zhang S, Wang H, Huang W, You Z (2018) Plant diseased leaf segmentation and recognition by fusion of superpixel, K-means and PHOG. Optik 157:866–872CrossRef
25.
go back to reference Fanti G, Jiao J, Makkuva A, Oh S, Rana R, Viswanath P (2019) Barracuda: the power of ℓ-polling in proof-of-stake blockchains. In: Proceedings of the twentieth ACM international symposium on mobile ad hoc networking and computing, pp 351–360 Fanti G, Jiao J, Makkuva A, Oh S, Rana R, Viswanath P (2019) Barracuda: the power of ℓ-polling in proof-of-stake blockchains. In: Proceedings of the twentieth ACM international symposium on mobile ad hoc networking and computing, pp 351–360
26.
go back to reference Granitto PM, Verdes PF, Alejandro H (2015) Large-scale investigation of weed seed identification by machine vision. Comput Electron Agric 47:15–24CrossRef Granitto PM, Verdes PF, Alejandro H (2015) Large-scale investigation of weed seed identification by machine vision. Comput Electron Agric 47:15–24CrossRef
27.
go back to reference Guyer DE, Miles GE, Schreiber MM et al (1986) Machine vision and image processing for Plant identification. Trans ASAE 29(6):1500–1507CrossRef Guyer DE, Miles GE, Schreiber MM et al (1986) Machine vision and image processing for Plant identification. Trans ASAE 29(6):1500–1507CrossRef
28.
go back to reference Hague T, Marchant JA, Tillett ND (2000) Ground based sensing systems for autonomous agricultural vehicles. Comput Electron Agric 25:11–28CrossRef Hague T, Marchant JA, Tillett ND (2000) Ground based sensing systems for autonomous agricultural vehicles. Comput Electron Agric 25:11–28CrossRef
29.
go back to reference Hemming J, Rath T (2001) Computer-vision-based weed identification under field conditions using controlled lighting. J Agric Eng Res 78(3):233–243CrossRef Hemming J, Rath T (2001) Computer-vision-based weed identification under field conditions using controlled lighting. J Agric Eng Res 78(3):233–243CrossRef
31.
go back to reference Ruan L, Li C, Zhang Y, Wang H (2019) Soft computing model based financial aware spatiotemporal social network analysis and visualization for smart cities. Comput Environ Urban Syst 77:101268CrossRef Ruan L, Li C, Zhang Y, Wang H (2019) Soft computing model based financial aware spatiotemporal social network analysis and visualization for smart cities. Comput Environ Urban Syst 77:101268CrossRef
32.
go back to reference Huang C, Wang X, Liang C, Jiang X, Yang G, Xu J, Yong Q (2019) A sustainable process for procuring biologically active fractions of high-purity xylooligosaccharides and water-soluble lignin from Moso bamboo prehydrolyzate. Biotechnol Biofuels 12(1):189CrossRef Huang C, Wang X, Liang C, Jiang X, Yang G, Xu J, Yong Q (2019) A sustainable process for procuring biologically active fractions of high-purity xylooligosaccharides and water-soluble lignin from Moso bamboo prehydrolyzate. Biotechnol Biofuels 12(1):189CrossRef
33.
go back to reference Niu CC, Zou KC, Yang YLO et al (2013) Security and privacy issues of the Internet of Things. Appl Mech Mater 416:1429–1433CrossRef Niu CC, Zou KC, Yang YLO et al (2013) Security and privacy issues of the Internet of Things. Appl Mech Mater 416:1429–1433CrossRef
Metadata
Title
RETRACTED ARTICLE: Intelligent Crime Prevention and Control Big Data Analysis System Based on Imaging and Capsule Network Model
Authors
Yijun Cai
Dian Li
Yuyue Wang
Publication date
30-04-2020
Publisher
Springer US
Published in
Neural Processing Letters / Issue 4/2021
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-020-10256-1

Other articles of this Issue 4/2021

Neural Processing Letters 4/2021 Go to the issue