Our position and responsibility working with corrections and law enforcement agencies demands that we proactively help to reduce recidivism, improve the lives of inmates and friends/family, and make the prison/jail environment safer," said Smith. "I expect the 84,000 intelligent device level today to exceed 150,000 by the end of 2016 – a large investment by Securus in inmates, friends and family, and law enforcement/corrections. Securus is participating fully in these process improvements by offering and investing in the most advanced technology possible, and the most efficient and SAFE TECHNOLOGY possible to facilities. The more education inmates receive, the less likely they will be to return to a life of incarceration. Most inmates will eventually be released so the experience behind bars also needs to include education and getting inmates prepared for a life within society. Incarceration used to mean punishment only – but progressive law enforcement and corrections officers and the courts move beyond that being the only objective. "Intelligent devices provide inmate education, both high school and at the university level they allow richer video communications with friends and family members they provide inmate handbooks they allow more efficient grievance filings they provide better access to law libraries they allow commissary ordering they facilitate religious activities they allow inmates to find jobs when released and, they even provide entertainment which is an important ingredient to a safer environment behind bars." "We want to help rehabilitate inmates, to reduce recidivism, to improve the safety within prison and jails for officers and inmates, to help inmates find jobs, and to make society safer – and what we offer with our intelligent devices accomplishes all of these objectives," said Smith. "What I call intelligent communications devices include sophisticated inmate tablets, video visitation kiosks, and our proprietary 'S-Phones,' all designed with the highest level of security." ![]() ("Rick") Smith, Chief Executive Officer of Securus Technologies. "In over 28 years of serving the prison and jail market, we installed 80,000 inmate telephones that provide basic communications for inmates but we now have exceeded 84,000 'intelligent inmate devices' in service through the United States and Mexico," said Richard A. 4, pp.DALLAS, Ma/PRNewswire/ - Securus Technologies, a leading provider of civil and criminal justice technology solutions for public safety, investigation, corrections and monitoring, announced today that it had deployed over 84,000 intelligent communications devices that do much more than just allow an inmate to make an outbound call. Journal: Journal of Intelligent & Fuzzy Systems, vol. Keywords: Image intelligent, automatic processing analysis, deep learning Results indicate that our method not only automatically derives the semantic information of the image, but also accurately understands the image accurately and improve the work efficiency. First, improve the deep learning model and use massive image data to choose and optimize parameters. The process is completely intelligent and automatically processed. This method only needs to send the image into the system, and then the manual analysis is not needed, and the analysis result of the final image can be obtained. Therefore, based on feature analysis technology, this paper uses the deep learning method to intelligently and automatically analyse the visual image. Deep learning method can extract features step by step in the original image from the bottom to the top. The deg ree of intelligent automated analysis and processing is low, many operations need to be done manually, causing human error, inaccurate detection, and time-consuming and laborious. Ībstract: The image intelligent processing analysis technology uses a computer to imitate and execute some intellectual functions of the human brain, and realizes an image processing system with artificial intelligence, that is, an image processing analysis technology is an understanding of an image. Wei Zhuo, Henan Institute of Big Data, Zhengzhou University, Zhengzhou Henan, China. | Henan Institute of Big Data, Zhengzhou University, Zhengzhou Henan, ChinaĬorresponding author. Guest editors: Suresh Chandra Satapathy, Rashmi Agrawal and Vicente García DíazĪuthors: Wang, Ruijuan a | Zhuo, Wei b *Īffiliations: School of Software, Hanwei Internet of Things Research School, Zhengzhou University, Zhengzhou Henan, China ![]() Issue title: Meta-Heuristic Techniques for Solving Computational Engineering Problems: Challenges and New Research Directions
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