Computer Applications for Handling Legal Evidence, Police Investigation and Case Argumentation

Nissan, Ephraim

doi:10.1007/978-90-481-8990-8

Cited by 21 publications

(12 citation statements)

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“…Such a neural network will make decisions based on the input values of the WSN, which serves as a mobile, independent, self-organizing body for connecting the neural network with the real world [15]. Designations used in Figure 1: X is the input layer of neurons containing the components of the input vector; N is the number of input neurons (network inputs), 1 , 2 , 3 , .…”

Section: Neural Wireless Sensor Networkmentioning

confidence: 99%

“…This mathematical representation allows to describe all the nodes of the network and prepare data for the corresponding form to be input into the ANN. Based on the Kohonen ANN trained by the constructive method [13,14], a method for neural network clustering of WSN was developed [15]. A matrix method for clustering WSN was also developed.…”

Section: Substantiationmentioning

confidence: 99%

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Decision Routing Problems in A Wireless Sensor Network Based on A Neural Mechanism

Khaytbaev

2020

J. ICT Res. Appl.

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This article proposes a solution for the routing problem in wireless sensor networks (WSN) based on a neural mechanism. The basic concepts of wireless sensor networks, artificial neural networks (ANNs), and WSN routing protocols are presented. The Kohonen ANN was selected to solve the problem of routing in wireless sensor networks based on a neural mechanism. A radio visibility matrix is proposed, which is a mathematical description of the connectivity of network nodes and the radio visibility of each node with respect to all other network nodes. Based on the Kohonen ANN trained by the constructive method, a method for WSN neural network clustering was developed. Two software-modeling environments are presented that were created to confirm the theory with respect to the logic of the developed methods for WSN clustering, their correction and the verification of their adequacy. Numerical results of modeling the solution of the routing problem in a wireless sensor network based on a neural mechanism by neural network clustering, the WSN matrix clustering method and the energy distance neural clustering protocol (EDNCP) are presented. It was found that the developed EDNCP protocol was 29% more efficient than known analogs.

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Section: Neural Wireless Sensor Networkmentioning

confidence: 99%

Section: Substantiationmentioning

confidence: 99%

Decision Routing Problems in A Wireless Sensor Network Based on A Neural Mechanism

Khaytbaev

2020

J. ICT Res. Appl.

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“…In practice, pmCT is performed along with autopsy as an adjunct method, i.e., when a responsible person has already decided that there is a need for an autopsy. In criminal trials in Switzerland, imaging has already been accepted as reliable and therefore admissible evidence in several forensic cases (Zimmermann, 2011;Nissan, 2012).…”

Section: Examples Of Virtual Autopsy Application In Europe: Legal Context and Practicementioning

confidence: 99%

Virtual autopsy in legal medicine: literature review and example of application on the mummified remains

Kružić

Jerković

Mihanović

et al. 2018

mls

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The virtual autopsy and post-mortem imaging methods are relatively novel methods used in medicine to determine cause and manner of death. They can also be exceptionally useful in the process of identification. Although they have numerous advantages, they are still not implemented in practice to a sufficient extent because the methodology has not yet been validated, and studies that deal with legal and practical implications of those methods are relatively scarce. In this article we describe basic principles and advantages of the methodology, explore related legal and practical issues, and present a case of virtual autopsy in practice on the mummified remains of St. Ivan Olini from Church of St. Blaise in Vodnjan (Croatia).Virtualna obdukcija in postmortalna metoda slikanja sta relativno novi metodi v medicini za ugotovljanje vzroka in načina smrti. Izjemno koristni sta lahko tudi v procesu identifikacije. Kljub številnim prednostim pa se v praksi še vedno ne izvajata v zadovoljivem obsegu, ker metodologija še ni potrjena, študije, ki se ukvarjajo s pravnimi in praktičnimi posledicami teh metod, pa so redke. V tem članku so opisana temeljna načela in prednosti metodologije, preučevana so pravna in praktična vprašanja ter predstavljen primer virtualne obdukcije v praksi na mumificiranih ostankih sv. Ivana Olinija iz cerkve sv. Blaža v Vodnjanu (Hrvaška).

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“…Nissan's most massive contribution to AI & Law has thus far been a book (Nissan 2012a) in two volumes, totalling almost 1400 pages, about computer applications to legal evidence, police investigation, and models of argumentation. It is an authored book, not an edited book, but here and there, there are sections by other authors (especially Andrew Stranieri and John Zeleznikow), as well as two chapters by other authors.…”

Section: A Magnum Opus On Legal Evidence and Computingmentioning

confidence: 99%

Language, Culture, Computation. Computing of the Humanities, Law, and Narratives

Dershowitz¹,

Nissan²

2014

Lecture Notes in Computer Science

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Computer Applications for Handling Legal Evidence, Police Investigation and Case Argumentation

Cited by 21 publications

References 0 publications

Decision Routing Problems in A Wireless Sensor Network Based on A Neural Mechanism

Decision Routing Problems in A Wireless Sensor Network Based on A Neural Mechanism

Virtual autopsy in legal medicine: literature review and example of application on the mummified remains

Language, Culture, Computation. Computing of the Humanities, Law, and Narratives

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