Sensor Management Problems of Nuclear Detection

Carpenter, Tamra; Cheng, Jerry; Roberts, Fred S.; Xie, Minge

doi:10.1007/978-0-85729-470-8_11

Cited by 10 publications

(8 citation statements)

References 38 publications

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“…General terms we are going to use here is cell phone detector, EM waves(RF), Security [2] , privacy in restricted and confidential areas et. al.…”

Section: General Termsmentioning

confidence: 99%

“…It also helps to detect unauthorized video and audio recordings [2] . It detects the signal from mobile phones even if it is kept in the silent mode.…”

Section: Basic Concept and Working Of Cellphone Detectormentioning

confidence: 99%

“…In this paper, we are proposing a detector which works even when the mobile phone is just in the switched on mode but not being used for any kind of transmission. It is also useful for detecting the use of mobile phone for Spying and unauthorized video transmission [2] . The circuit can detect the incoming calls and outgoing calls, SMS and video transmission even if the mobile phone is kept in the silent mode.…”

Section: Introductionmentioning

confidence: 99%

“…Author claims through results that the periodic observations of the system detect the outliers in an efficient way. However, this system is silent on the performance issues of the individual sensor or the network.This system may be used in many practical areas as [2] :…”

Section: Introductionmentioning

confidence: 99%

“…So it can be used to prevent the use of mobile phones in examination halls, confidential rooms, etc [2] . There are existing models for the cell phone detectors which works when some transmission occurs from the phone.…”

mentioning

confidence: 99%

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A better Approach to detect the Presence of Cell Phones being used in Prohibited Areas

Mangal¹,

Kumar²,

Rajkumar³

2017

IJCA

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This handy, pocket-size mobile transmission detector can sense the presence of an activated mobile phone from a distance of one and half meters. So it can be used to prevent the use of mobile phones in examination halls, confidential rooms, etc [2] . There are existing models for the cell phone detectors which works when some transmission occurs from the phone. In this paper, we are proposing a detector which works even when the mobile phone is just in the switched on mode but not being used for any kind of transmission. It is also useful for detecting the use of mobile phone for Spying and unauthorized video transmission [2] . The circuit can detect the incoming calls and outgoing calls, SMS and video transmission even if the mobile phone is kept in the silent mode. The moment the bug detects RF(Radio Frequency) transmission signal from an activated mobile phone, it starts sounding a beep alarm and LED blinks [1] . The alarm continues until the signal transmission ceases. General TermsGeneral terms we are going to use here is cell phone detector, EM waves(RF), Security [2] , privacy in restricted and confidential areas et. al.

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“…General terms we are going to use here is cell phone detector, EM waves(RF), Security [2] , privacy in restricted and confidential areas et. al.…”

Section: General Termsmentioning

confidence: 99%

“…It also helps to detect unauthorized video and audio recordings [2] . It detects the signal from mobile phones even if it is kept in the silent mode.…”

Section: Basic Concept and Working Of Cellphone Detectormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

A better Approach to detect the Presence of Cell Phones being used in Prohibited Areas

Mangal¹,

Kumar²,

Rajkumar³

2017

IJCA

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A dynamic fusion system for fast nuclear source detection and localization with mobile sensor networks

Grelaud

Mitra

Xie

et al. 2017

Appl Stoch Models Bus & Ind

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This paper proposes a dynamic system, with an associated fusion learning inference procedure, to perform real-time detection and localization of nuclear sources using a network of mobile sensors. This is motivated by the need for a reliable detection system in order to prevent nuclear attacks in major cities such as New York City. The approach advocated here installs a large number of relatively inexpensive (and perhaps relatively less accurate) nuclear source detection sensors and GPS devices in taxis and police vehicles moving in the city. Sensor readings and GPS information are sent to a control center at a high frequency, where the information is immediately processed and fused with the earlier signals. We develop a real-time detection and localization method aimed at detecting the presence of a nuclear source and estimating its location and power. We adopt a Bayesian framework to perform the fusion learning and use a sequential Monte Carlo algorithm to estimate the parameters of the model and to perform real-time localization. A simulation study is provided to assess the performance of the method for both stationary and moving sources. The results provide guidance and recommendations for an actual implementation of such a surveillance system.Appl. Stochastic Models Bus. Ind. 2018, 34 4-19 GRELAUD ET AL. t ), of all the sensors in the system and the binary signals the sensors send to the control center t = (d (1) t , · · · , d (n t ) t ). Here, n t is the number of active sensors. The locations, t , are assumed to be accurate, but the signals received by the control center could possibly be false.This model assumes the presence of one source. It is compared with the baseline model, where no source is present, for the purpose of detecting the presence of a source. Details of the comparison are presented in Section 3.2. The extension to multiple source detection is discussed in Section 6.State-space models have been widely used in many applications, including source tracking [29,30,[36][37][38][39][40][41][42][43]. However, our approach is different from standard source tracking problems, mainly because in our case, both negative and positive binary signals are observed and used. The use of state-space formation allows the data collected at time t to be used for the estimation of the location of the source x t with the information observed in the past, through an updating of the previous estimation of x t−1 , instead of performing an independent analysis at each time point. A source's motion possesses 6

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