Jamming uber signals live - jamming memory bear out bear out of honey

Testing the Feasibility of Positioning Using Ambient Light By Jingbin Liu, Ruizhi Chen, Yuwei Chen, Jian Tang, and Juha Hyyppä INNOVATION INSIGHTS by Richard Langley AND THEN THERE WAS LIGHT. Well, the whole electromagnetic (EM) spectrum, actually. Visible light occupies only a small portion of the spectrum, which extends from below the extremely low frequency (ELF) 3 to 30 hertz band with equivalent wavelengths of 100,000 to 10,000 kilometers through infrared, visible, and ultraviolet light and x-rays to gamma rays in the 30 to 300 exahertz band (an exahertz is 1018 hertz) with wavelengths of 10 to 1 picometers and beyond. The radio part of the spectrum extends to frequencies of about 300 gigahertz or so, but the distinction between millimeter radio waves and long infrared light waves is a little blurry. Natural processes can generate electromagnetic radiation in virtually every part of the spectrum. For example, lightning produces ELF radio waves, and the black hole at the center of our Milky Way Galaxy produces gamma rays. And various mechanical processes can be used to generate and detect EM radiation for different purposes from ELF waves for communication tests with submerged submarines to gamma rays for diagnostic imaging in nuclear medicine. Various parts of the EM spectrum have been used for navigation systems over the years. For example, the Omega system used eight powerful terrestrial beacons transmitting signals in the range of 10 to 14 kilohertz permitting global navigation on land, in the air, and at sea. At the other end of the spectrum, researchers have explored the feasibility of determining spacecraft time and position using x-rays generated by pulsars — rapidly rotating neutron stars that generate pulses of EM radiation. But the oldest navigation aids, lighthouses, used the visible part of the EM spectrum. The first lighthouses were likely constructed by the ancient Greeks sometime before the third century B.C. The famous Pharos of Alexandria dates from that era. And before the construction of lighthouses, mariners used fires built on hilltops to help them navigate. The Greeks also navigated using the light from stars, or celestial navigation. Records go back to Homer’s Odyssey where we read “Calypso, the lovely goddess had told him to keep that constellation [the Great Bear] to port as he crossed the waters.” By around 1500 A.D., the astrolabe and the cross-staff had been developed sufficiently that they could be used to measure the altitudes of the sun or stars to determine latitude at sea. Celestial navigation was further advanced with the introduction of the quadrant and then the sextant. And determining longitude was possible by observing the moons of Jupiter (but not easily done at sea), measuring distances between the moon and other celestial bodies and, once it was developed, using a chronometer to time altitude observations. How else is light used for positioning and navigation? Early in the space age, satellites were launched with flashing beacons or with large surface areas to reflect sunlight so that they could be photographed from the ground against background stars with known positions to determine the location of the camera. We also have laser ranging to satellites and the moon and the related terrestrial LiDAR technology, as well as the total stations used by surveyors. And in this month’s column, we take a look at the simple, innovative method of light fingerprinting: the use of observations of the artificial light emitted by unmodified light fixtures as well as the natural light that passes through windows and doorways in a technique for position determination inside buildings. “Innovation” is a regular feature that discusses advances in GPS technology and its applications as well as the fundamentals of GPS positioning. The column is coordinated by Richard Langley of the Department of Geodesy and Geomatics Engineering, University of New Brunswick. He welcomes comments and topic ideas. Over the years, various localization technologies have been used to determine locations of people and devices in an absolute or relative sense. Relative positioning methods determine a location relative to another one in a local coordinate framework, while absolute positioning techniques fix an absolute location in a specific coordinate framework. In the past, people observed the positions (orientation angles) of a celestial body (such as the sun, the moon, or a star) to determine their locations on the Earth, which is known as celestial navigation (see FIGURE 1). The locations are resolved by relating a measured angle between the celestial body and the visible horizon to the Nautical Almanac, which is a knowledge base containing the coordinates of navigational celestial bodies and other relevant data. Other than an observation device, celestial navigation does not rely on any infrastructure, and hence it can be used virtually anywhere on the globe at anytime, weather permitting. Nowadays, an increasing number of applications, location-based services, and ambient intelligence largely require positioning functions across various environments due to increasing mobility of people and devices. In particular, the development of robotics for a number of purposes requires the support of localization capability in various conditions where positioning infrastructure may be missing. Various positioning technologies share an intrinsic characteristic that a positioning solution is resolved by using the dependency between spatial locations and a set of physical observables. The dependency may be expressed in the form of either a deterministic function model or a probabilistic model. A deterministic model expresses the dependency between locations and observables in a closed-form function, while a probabilistic model defines the dependency between locations and observables in the Bayesian sense. Depending on the form of dependency, different mathematical models have been used for position resolution. For example, satellite-based GNSS positioning derives the location of a user’s receiver based on radio frequency (RF) signals transmitted by the satellite systems. GNSS positioning is grounded in accurate time determination: the time differences between the transmitted and the received radio signals denote signal travel times (observables), which are then converted into distance measurements between the satellite and the user antenna. Using the distance measurements between the user antenna and four different satellites, the receiver can obtain three-dimensional receiver coordinates in a global reference frame and the time difference between the receiver and satellite clocks. The dependency between user location and a set of distance observables can be expressed in a simplified equation: (1) where ρi is an observed range between the ith satellite and the receiver, (x,y,z)i is the position of the ith satellite, (x,y,z) is the position of the receiver to be estimated, γ denotes errors in the range observable, δt and c are receiver clock error and the speed of light, respectively (the sign of the clock term is arbitrary, but must be used consistently). It is obvious that GNSS positioning relies strongly on the visibility of the GNSS constellation — the space infrastructure — as it requires line-of-sight visibility of four or more satellites. The positioning capability is degraded or totally unavailable in signal-blocked environments, such as indoors and in urban canyons. An example of Bayesian positioning is to use various signals of opportunity (SOOP) — signals not originally intended for positioning and navigation. They include RF signals, such as those of cellular telephone networks, digital television, frequency modulation broadcasting, wireless local area networks, and Bluetooth, as well as naturally occurring signals such as the Earth’s magnetic field and the polarized light from the sun. Indicators of these signals, such as signal strengths and signal quality, are dependent on locations in the Bayesian sense. The dependency between signal indicators and locations is expressed in a probabilistic model: (2) where signifies a dependency between a set of physical signals and locations, I denotes indicators of SOOP signals, L denotes location, and P(i|l) is the probability that signal indicators (i) are observed at location (l). Positioning resolution involves finding a location that yields the maximum a posteriori probability given a specific set of observables. Bayes’ Rule for computing conditional probabilities is applicable in the positioning estimation, and a family of Bayesian inference methods has been developed (see Further Reading). An inertial navigation system (INS) is a typical relative positioning technology, and it provides the estimation of moved distance, direction, and/or direction change. A commonly used INS consists of accelerometers, gyroscopes, and a compass. It is self-contained and needs no infrastructure in principle to operate. However, the sensors yield accumulated positioning errors, and they need extra information for calibration. For example, in a GNSS/INS combined system, the INS needs to be calibrated using GNSS positioning results. To achieve an enhanced positioning performance in terms of availability, accuracy, and reliability, different positioning technologies are commonly integrated to overcome the limitations of individual technologies in applicability and performance. This article discusses the feasibility of ambient light (ambilight) positioning, and we believe it is the first time that ambilight has been proposed as a positioning signal source. We propose the use of two types of observables of ambient light, and correspondingly two different positioning principles are applied in the positioning resolution. Our solution does not require any modifications to commonly used sources of illumination, and it is therefore different from other indoor lighting positioning systems that have been proposed, which use a modulated lighting source. Ambilight positioning does not require extra infrastructure because illumination infrastructure, including lamps and their power supply and windows, are always necessary for our normal functioning within spaces. Ambilight exists anywhere (indoor and outdoor), anytime, if we consider darkness as a special status of ambient light. Ambilight sensors have been sufficiently miniaturized and are commonly used. For example, an ambilight sensor is used in a modern smartphone to detect the light brightness of the environment and to adaptively adjust the backlight, which improves the user vision experience and conserves power. Additionally, ambilight sensors are also widely used in automotive systems to detect the light intensity of environments for safety reasons. Therefore, ambilight positioning can use existing sensors in mobile platforms. This article presents the possibilities and methods of ambilight positioning to resolve both absolute and relative positioning solutions, and which can be integrated as a component in a hybrid positioning system. Absolute Positioning Using Ambilight Spectral Measurements The essence of localization problems is to resolve the intrinsic dependency of location on a set of physical observables. Therefore, a straightforward idea is that the type of observables applicable to positioning can be determined once the location-observables dependency is established. The feasibility is validated when the location-observables dependency is confirmed in the sense of necessary and sufficient conditions. Ambient light is a synthesis of artificial light sources and natural light. The light spectrum is defined by the distribution of lighting intensity over a particular wavelength range. Researchers have reported development of sensor technology that has a spectral response from 300 to 1450 nanometers (from ultraviolet through infrared light). The spectrum of ambient light is mainly determined by colors of reflective surfaces in the circumstance, in addition to that of artificial and natural light sources. Therefore, intensity spectrum measurements are strongly correlated with surrounding environments of different locations. The traditional fingerprinting method can be used to resolve the positioning solution. The fingerprinting approach makes use of the physical dependency between observables and geo-locations to infer positions where signals are observed. This approach requires the knowledge of observable-location dependency, which comprises a knowledge database. The fingerprinting approach resolves the most likely position estimate by correlating observed SOOP measurements with the knowledge database. The related fingerprinting algorithms include K-nearest neighbors, maximum likelihood estimation, probabilistic inference, and pattern-recognition techniques. These algorithms commonly consider moving positions as a series of isolated points, and they are therefore related to the single-point positioning approach. In addition, a “hidden Markov” model method has been developed to fuse SOOP measurements and microelectromechanical systems (MEMS) sensors-derived motion-dynamics information to improve positioning accuracy and robustness. In the case of ambilight positioning, prior knowledge is related to structure layout information, including the layout of a specific space, spatial distribution of lighting sources (lamps), types of lighting sources, and windows and doors where natural light can come through. Spatial distribution of lighting sources is normally set up together with power supplies when the structure is constructed, and their layout and locations are not usually changed thereafter. For example, illumination lamps are usually installed on a ceiling or a wall in fixed positions, and the locations of doors and windows, through which light comes, are also typically fixed throughout the life of a building. Therefore, the knowledge database of lighting conditions can be built up and maintained easily through the whole life cycle of a structure. In practice, a specific working region is divided into discrete grids, and intensity spectrum measurements are collected at grid points to construct a knowledge database. The grid size is determined based on the required spatial resolution and spatial correlation of spectrum measurements. The spatial correlation defines the degree of cross-correlation of two sets of spectrum measurements observed at two separated locations. We measured the spectrum of ambient light with a two-meter grid size in our library. The measurements were conducted using a handheld spectrometer. FIGURE 2 shows a set of samples of ambilight spectrum measurements, and the corresponding photos show the circumstances under which each spectrum plot was collected. These spectral measurements show strong geo-location dependency. Spectrum differences of different locations are sufficiently identifiable. TABLE 1 shows the cross-correlation coefficients of spectral measurements of different locations. The auto-correlation coefficients of spectral measurements of a specific location are very close to the theoretical peak value of unity, and the cross-correlation coefficients of spectra at different locations are significantly low. Therefore, the correlation coefficient is an efficient measure to match a spectrum observable with a geo-referred database of ambilight spectra. FIGURE 2. Ambilight spectral measurements of nine locations in the library of the Finnish Geodetic Institute (arbitrary units). The photos below the spectrum plots show the circumstances under which the corresponding spectral measurements were collected. TABLE 1. Correlation coefficient matrix of spectral measurements of different locations. Relative Positioning Using Ambilight Intensity Measurements Total ambilight intensity is an integrated measure of the light spectrum, and it represents the total irradiance of ambient light. In general, a lamp produces a certain amount of light, measured in lumens. This light falls on surfaces with a density that is measured in foot-candles or lux. A person looking at the scene sees different areas of his or her visual field in terms of levels of brightness, or luminance, measured in candelas per square meter. The ambilight intensity can be measured by a light detector resistor (LDR), and it is the output of an onboard 10-bit analog-to-digital converter (ADC) on an iRobot platform, which is the platform for a low-cost home-cleaning robot as shown in FIGURE 3. FIGURE 3. The iRobot-based multi-sensor positioning platform, which is equipped with a light sensor and other versatile positioning sensors as marked in the figure. We designed a simple current-to-voltage circuit based on an LDR and a 10-kilohm resistor, and the integrated analog voltage is input into the iRobot’s ADC with a 25-pin D-type socket, which is called the Cargo Bay Connector. FIGURES 4 and 6 show that the LDR sensor was not saturated during the test whenever we turned the corridor lamps on or off. Since the output of the light sensor was not calibrated with any standard light source, the raw ADC output rather than real values of physical light intensity was used in this study. During the test, the iRobot platform ran at a roughly constant speed of 25 centimeters per second, and the response time of the LDR was 50 milliseconds according to the sensor datasheet. The sampling rate of light intensity measurements was 5 Hz. Thus, the ADC could digitalize the input voltage in a timely fashion. FIGURE 4. Total irradiance intensity measurements of ambient light in a closed space. The estimated lamp positions (magenta points) can be compared to the true lamp positions (green points). FIGURE 6. Total irradiance intensity measurements of ambient light in the open corridor of the third floor. We conducted the experiments with the iRobot platform in two corridors in the Finnish Geodetic Institute building. The robot was controlled to move along the corridors, and it collected measurements as it traveled. The two corridors represent two types of environment. The corridor of the first floor is a closed space where there is no natural light, and the corridor of the third floor has both natural light and artificial illuminating light. The illuminating fluorescent lamps are installed in the ceiling. In a specific environment, fluorescent lamps are usually installed at fixed locations, and their locations are not normally changed after installation. Therefore, the knowledge of lamp locations can be used for positioning. Ambilight positioning is relatively simple in the first case where there is no natural light in the environment and all ambilight intensity comes from artificial light. Because the fluorescent lamps are separated by certain distances, the intensity measurements have a sine-like pattern with respect to the horizontal distance along the corridor. The sine-like pattern is a key indicator to be used for detecting the proximity of a lamp. As shown in Figures 4 and 6, raw measurements of ambilight intensity and smoothed intensity have a sine-like pattern. Because raw intensity measurements have low noise, either raw measurements or smoothed intensity can be used to detect the proximity of a lamp. Figure 4 also shows the results of detection and the comparison to the true lamp positions. There are four fluorescent lamps in this corridor test. The first three were detected successfully, and the estimated positions are close to true positions with a root-mean-square (RMS) error of 0.23 meters. The fourth lamp could not be detected because its light is blocked by a shelf placed in the corridor just below the lamp as shown in FIGURE 5. Figure 4 shows the sine-like intensity pattern of the fourth lamp did not occur due to the blockage. FIGURE 5. The light of the fourth lamp in the corridor is blocked by shelves, and the corresponding sine-like light pattern does not appear. On the third floor, the situation is more complicated because there is both natural light and incandescent lamps in the corridor. Natural light may come in from windows, which are located at multiple locations on the floor. In addition, the light spectrum in the corridor may be interfered with by light from office rooms around the floor. To recover the sine-like intensity pattern of the lamps, the intensity of the background light was measured when the incandescent lamps were turned off. Therefore, the calibrated intensity measurements of illuminating lamps can be calculated as follows: (3) where Ia is the intensity measurements of composite ambient light, Ib is the intensity measurements of background light, and Ic is the intensity measurements of the calibrated ambient light of the illuminating lamps. Figure 6 shows the intensity measurements of composite ambient light, background light, and calibrated lamp light. In addition, the intensity measurements of calibrated lamp light are smoothed by an adaptive low-pass filter to mitigate noise and interference. The intensity measurements of smoothed lamp light were used to estimate the positions of the lamps according to the sine-like pattern. The estimated lamp positions were compared to the true lamp positions, and the errors are shown in FIGURE 7. The estimated lamp positions have a mean error of 0.03 meters and an RMS error of 0.79 meters. In addition, for the total of 15 lamps in the corridor, only one lamp failed to be detected (omission error rate = 1/15) and one lamp was detected twice (commission error rate = 1/15). Discussion and Conclusion Ambilight positioning needs no particular infrastructure, and therefore it does not have the problem of infrastructure availability, which many other positioning technologies have, limiting their applicability. For example, indoor positioning systems using Wi-Fi or Bluetooth could not work in emergency cases when the power supply of these devices is cut off. What ambilight positioning needs is just the knowledge of indoor structure and ambilight observables. The lighting conditions of an indoor structure can be reconstructed based on the knowledge of the layout structure whenever illuminating lamps are on or off. Thus, ambilight observables can be related to the layout structure to resolve positioning estimates as we showed in this article. Besides indoor environments, the methods we have presented are also applicable in many other GNSS-denied environments, such as underground spaces and long tunnels. For example, the Channel Tunnel between England and France has a length of 50.5 kilometers, and position determination is still needed in this kind of environment. In such environments, there is usually no natural light, and the intensity of illuminating lamps has a clear sine-like pattern. In particular, ambient light positioning is promising for robot applications when a robot is operated for tasks in a dangerous environment where there is no infrastructure for other technical systems such as Wi-Fi networks. Given the knowledge of the lighting infrastructure acquired from the construction layout design, the method of ambilight positioning can be used for robot localization and navigation. Our tests have shown also that the proposed ambilight positioning methods work well with both fluorescent lamps and incandescent lamps, as long as the light intensity sensor is not saturated. A clear advantage of the technique is that the illuminating infrastructure and the structure layout of these environments are kept mostly unchanged during their life cycle, and the lighting knowledge can be constructed from the structure design. Hence, it is easy to acquire and maintain these knowledge bases. The hardware of ambient light sensors is low-cost and miniature in size, and the sensors can be easily integrated with other sensors and systems. Although a spectrometer sensor is not currently able to be equipped with a mobile-phone device, the proposed ambilight positioning techniques can still be implemented with a modern mobile phone in several ways. For example, an economical way would be to form a multispectral camera using a selection of optical filters of selected bands or a miniature adjustable gradual optical filter. The spectral resolution then is defined by the bandwidth of the band-pass optical filters and the optical characteristics of the gradual optical filter. Other sensors, such as an acousto-optic tunable filter spectrometer and a MEMS-based Fabry-Pérot spectrometer, could also be used to measure the spectrum of ambilight in the near future. With such techniques, ambilight spectral measurements can be observed in an automated way and with higher temporal resolution. Acknowledgments The work described in this article was supported, in part, by the Finnish Centre of Excellence in Laser Scanning Research (CoE-LaSR), which is designated by the Academy of Finland as project 272195. This article is based on the authors’ paper “The Uses of Ambient Light for Ubiquitous Positioning” presented at PLANS 2014, the Institute of Electrical and Electronics Engineers / Institute of Navigation Position, Location and Navigation Symposium held in Monterey, California, May 5–8, 2014. JINGBIN LIU is a senior fellow in the Department of Remote Sensing and Photogrammetry of the Finnish Geodetic Institute (FGI) in Helsinki. He is also a staff member of the Centre of Excellence in Laser Scanning Research of the Academy of Finland. Liu received his bachelor’s (2001), master’s (2004), and doctoral (2008) degrees in geodesy from Wuhan University, China. Liu has investigated positioning and geo-reference science and technology for more than ten years in both industrial and academic organizations. RUIZHI CHEN holds an endowed chair and is a professor at the Conrad Blucher Institute for Surveying and Science, Texas A&M University in Corpus Christie. He was awarded a Ph.D. degree in geophysics, an M.Sc. degree in computer science, and a B.Sc. degree in surveying engineering. His research results, in the area of 3D smartphone navigation and location-based services, have been published twice as cover stories in GPS World. He was formerly an FGI staff member. YUWEI CHEN is a research manager in the Department of Remote Sensing and Photogrammetry at FGI. His research interests include laser scanning, ubiquitous LiDAR mapping, hyperspectral LiDAR, seamless indoor/outdoor positioning, intelligent location algorithms for fusing multiple/emerging sensors, and satellite navigation. JIAN TANG is an assistant professor at the GNSS Research Center, Wuhan University, China, and also a senior research scientist at FGI. He received his Ph.D. degree in remote sensing from Wuhan University in 2008 and focuses his research interests on indoor positioning and mapping. JUHA HYYPPA is a professor and the head of the Department of Remote Sensing and Photogrammetry at FGI and also the director of the Centre of Excellence in Laser Scanning Research. His research is focused on laser scanning systems, their performance, and new applications, especially those related to mobile laser scanning and point-cloud processing. FURTHER READING • Authors’ Conference Paper “The Uses of Ambient Light for Ubiquitous Positioning” by J. Liu, Y. Chen, A. Jaakkola, T. Hakala, J. Hyyppä, L. Chen, R. Chen, J. Tang, and H. Hyyppä in Proceedings of PLANS 2014, the Institute of Electrical and Electronics Engineers / Institute of Navigation Position, Location and Navigation Symposium, Monterey, California, May 5–8, 2014, pp. 102–108, doi: 10.1109/PLANS.2014. 6851363. • Light Sensor Technology “High-Detectivity Polymer Photodetectors with Spectral Response from 300 nm to 1450 nm” by X. Gong, M. Tong, Y. Xia, W. Cai, J.S. Moon, Y. Cao, G. Yu, C.-L. Shieh, B. Nilsson, and A.J. Heeger in Science, Vol. 325, No. 5948, September 25, 2009, pp. 1665–1667, doi: 10.1126/science.1176706. • Light Measurement “Light Intensity Measurement” by T. Kranjc in Proceedings of SPIE—The International Society for Optical Engineering (formerly Society of Photo-Optical Instrumentation Engineers), Vol. 6307, Unconventional Imaging II, 63070Q, September 7, 2006, doi:10.1117/12.681721. • Modulated Light Positioning “Towards a Practical Indoor Lighting Positioning System” by A. Arafa, R. Klukas, J.F. Holzman, and X. Jin in Proceedings of ION GNSS 2012, the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation, Nashville, Tennessee, September 17–21, 2012, pp. 2450–2453. • Application of Hidden Markov Model Method “iParking: An Intelligent Indoor Location-Based Smartphone Parking Service” by J. Liu, R. Chen, Y. Chen, L. Pei, and L. Chen in Sensors, Vol. 12, No. 11, 2012, pp. 14612-14629, doi: 10.3390/s121114612. • Application of Bayesian Inference “A Hybrid Smartphone Indoor Positioning Solution for Mobile LBS” by J. Liu, R. Chen, L. Pei, R. Guinness, and H. Kuusniemi in Sensors, Vol. 12, No. 12, pp. 17208–17233, 2012, doi:10.3390/s121217208. • Ubiquitous Positioning “Getting Closer to Everywhere: Accurately Tracking Smartphones Indoors” by R. Faragher and R. Harle in GPS World, Vol. 24, No. 10, October 2013, pp. 43–49. “Hybrid Positioning with Smartphones” by J. Liu in Ubiquitous Positioning and Mobile Location-Based Services in Smart Phones, edited by R. Chen, published by IGI Global, Hershey, Pennsylvania, 2012, pp. 159–194. “Non-GPS Navigation for Security Personnel and First Responders” by L. Ojeda and J. Borenstein in Journal of Navigation, Vol. 60, No. 3, September 2007, pp. 391–407, doi: 10.1017/S0373463307004286.

jamming uber signals live

Wahl s003hu0420060 ac adapter 4.2vdc 600ma for trimer switching,increase the generator's volume to play louder than.sunbeam gb-2 ac adapter 110-120vac used transformer shaver canad.v infinity emsa240167 ac adapter 24vdc 1.67a -(+) used 2x5.5mm s.nec adp-90yb c ac adapter 19v dc 4.74a power supply,digipos retail blade psu2000 power supply 24vdc 8.33a ac adapter,ancon 411503oo3ct ac adapter 15vdc 300ma used -(+) rf antenna co,our free white paper considers six pioneering sectors using 5g to redefine the iot.shenzhen rd1200500-c55-8mg ac adapter 12vdc 1a used -(+) 2x5.5x9,finecom stm-1018 ac adapter 5vdc 12v 1.5a 6pin 9mm mini din dual,toshiba pa2501u ac adapter 15v 2a 30w laptop power supply.replacement dc359a ac adapter 18.5v 3.5a used,backpack ap14m ac dc dual voltge adapter 5v 1a 12vdc 0.75a 5pin,max station xk-09-1041152 ac adapter 22.5v 2.67a power supply.sunfone acu034a-0512 ac adapter 12vc 5v 2a used 3 pin mini din a,component telephone u090025a12 ac adapter 9vac 250ma ~(~) 1.3x3.,vanguard mp15-wa-090a ac adapter +9vdc 1.67a used -(+) 2x5.5x9mm,this paper serves as a general and technical reference to the transmission of data using a power line carrier communication system which is a preferred choice over wireless or other home networking technologies due to the ease of installation,breville ecs600xl battery charger 15vdc 250ma 12volts used.black&decker ps 160 ac adapter 14.5vdc 200ma used battery charge,archer 273-1454a ac dc adapter 6v 150ma power supply,ibm 92p1113 ac adapter 20v dc 4.5a 90w used 1x5.2x7.8x11.2mm,sensormatic 0300-0914-01 ac adapter 12/17/20/24v 45va used class,surecall's fusion2go max is the cell phone signal booster for you.rocketfish ac-5001bb ac adapter 24vdc 5a 90w power supply,cobra swd120010021u ac adapter 12vdc 100ma used 2 audio pin,this project shows the starting of an induction motor using scr firing and triggering,digipower tc-500n solutions world travel nikon battery charge,65w-dlj004 replacement ac adapter 19.5v 3.34a laptop power suppl,startech usb2sataide usb 2.0 to sata ide adapter.delta adp-40mh bb ac adapter 19vdc 2.1a laptop power supply,it deliberately incapacitates mobile phones within range,another big name in the cell phone signal booster market,compaq2882 213563-001 delta ac adapter 18vdclaptops lte 500,dreamgear xkd-c2000nhs050 ac dc adapter 5v 2a power supply.esaw 450-31 ac adapter 3,4.5,6,7.5,9-12vdc 300ma used switching.sunforce 11-1894-0 solar battery charger 12v 1 watt motorcycle,delta adp-5vb c ac adapter 5vdc 1a power supply n4000e.pdf portable mobile cell phone signal jammer,aiphone ps-1820 ac adapter 18v 2.0a video intercom power supply.elpac power systems 2180 power supply used +8vdc 4a 32w shielded.condor 48a-9-1800 ac adapter 9vac 1.8a ~(~) 120vac 1800ma class,tc98a ac adapter 4.5v dc 800ma cell phone power supply,dell fa90ps0-00 ac adapter 19.5vdc 4.62a 90w used 1x5x7.5xmm -(+.condor hk-h5-a05 ac adapter 5vdc 4a used -(+) 2x5.5mm round barr.tc98a 4.5-9.5v dc max 800ma used travel charger power supply.chicony w10-040n1a ac adapter 19vdc 2.15a 40w used -(+) 1.5x5.5x,netcom dv-9100 ac adapter 9vdc 100ma used -(+) 2.5x5.5mm straigh,using this circuit one can switch on or off the device by simply touching the sensor,bionx hp1202n2 ac adapter 24vdc 1.8a ni-mh used 3pin slr charger,this circuit shows a simple on and off switch using the ne555 timer,this is unlimited range jammer free device no limit of distance just insert sim in device it will work in 2g.bellsouth products dv-9300s ac adapter 9vdc 300ma class 2 transf.the use of spread spectrum technology eliminates the need for vulnerable “windows” within the frequency coverage of the jammer,ilan elec f1700c ac adapter 19v dc 2.6a used 2.7x5.4x10mm 90.sony psp-n100 ac adapter 5vdc 1500ma used ite power supply,hp hstn-f02x 5v dc 2a battery charger ipaq rz1700 rx,d-link ad-071a5 ac adapter 7.5vdc 1.5a used 90° -(+) 2x5.5mm 120.lishin lse0202c2090 ac adapter 20v dc 4.5a power supply.s15af125120 ac adapter 12.5vdc 1200ma used -(+) 2x5.5x11mm rou,which broadcasts radio signals in the same (or similar) frequency range of the gsm communication,netbit dsc-51fl 52100 ac adapter 5v 1a switching power supply,dura micro dm5127a ac adapter 5vdc 2a 12v 1.2a 4pin power din 10,globetek gt-21089-0909-t3 ac adapter 9vdc 1a 9w ite power supply,dve dsa-0421s-12330 ac adapter 13v 3.8a switching power supply,cyber acoustics ka12d120050035u ac adapter 12vdc 500ma +(-) 2x5.,netbit dsc-51f 52100 ac adapter 5.2vdc 1a used usb connector wit,eleker ac car adapter phone charger 4-10vdc used 11-26v.

This paper shows a converter that converts the single-phase supply into a three-phase supply using thyristors,wlg q/ht001-1998 film special transformer new 12vdc car cigrate,the first circuit shows a variable power supply of range 1,based on a joint secret between transmitter and receiver („symmetric key“) and a cryptographic algorithm,cord connected teac-57-241200ut ac adapter 24vac 1.2a ~(~) 2x5.5,the best cell phone signal booster to get for most people is the weboost home 4g cell phone signal booster (view on ebay ).ihomeu150150d51 ac adapter 15vdc 1500ma -(+) 2.1x5.5x10mm roun.ault pw125ra0900f02 ac adapter 9.5vdc 3.78a 2.5x5.5mm -(+) used,hp 0950-4488 ac adapter 31v dc 2420ma used 2x5mm -(+)- ite power,igo 6630076-0100 ac adapter 19.5vdc 90w max used 1.8x5.5x10.7mm,65w-dl04 ac adapter 19.5vdc 3.34a da-pa12 dell laptop power.philips hs8000 series coolskin charging stand with adapter.building material and construction methods,commodore dc-420 ac adapter 4.5vdc 200ma used -(+) phone jack po,jobmate ad35-04503 ac adapter 4.5vdc 300ma new 2.5x5.3x9.7mm,gateway li shin lse0202d1990 ac adapter 19vdc 4.74a used 2.5 x 5.railway security system based on wireless sensor networks.southwestern bell 9a200u-28 ac adapter 9vac 200ma 90° right angl.qun xing ac adapter 1000ma used 100vac 2pin molex power supply,philips 4222 029 00030 ac adapter 4.4vdc 0.85va used shaver powe.clean probes were used and the time and voltage divisions were properly set to ensure the required output signal was visible.rova dsc-6pfa-12 fus 090060 ac adapter +9vdc 0.6a used power sup,hipro hp-a0653r3b ac adapter 19vdc 3.42a 65w used,3com dsa-15p-12 us 120120 ac adapter 12vdc 1a switching power ad.additionally any rf output failure is indicated with sound alarm and led display,microsoft 1625 ac adapter 12vdc 2.58a used charger for surface p.navtel car dc adapter 10vdc 750ma power supply for testing times,all these project ideas would give good knowledge on how to do the projects in the final year,black & decker vp131 battery charger used 4.35vdc 220ma 497460-0,fld0710-5.0v2.00a ac adapter 5vdc 2a used -(+) 1.3x3.5mm ite pow,please see the details in this catalogue,philips hx6100 0.4-1.4w electric toothbrush charger,aztech swm10-05090 ac adapter 9vdc 0.56a used 2.5x5.5mm -(+)- 10.elpac power fw6012 ac adapter 12v dc 5a power supply.sony ac-pw20 ac adapter 7.6vdc 2a uninterrupted power supply ada,fsp group fsp065-aab ac adapter 19vdc 3.42ma used -(+)- 2x5.5,linksys ls120v15ale ac adapter 12vdc 1.5a used -(+) 2x5mm 100-24,grab high-effective mobile jammers online at the best prices on spy shop online,motorola fmp5049a travel charger 4.4v 1.5a.ix conclusionthis is mainly intended to prevent the usage of mobile phones in places inside its coverage without interfacing with the communication channels outside its range,metro lionville fw 7218m/12 ac adapter 12vdc 1a -(+) used 2x5.5m.moso xkd-c2000ic5.0-12w ac adapter 5vdc 2a used -(+) 0.7x2.5x9mm,4.6v 1a ac adapter used car charger for nintendo 3ds 12v,aura i-143-bx002 ac adapter 2x11.5v 1.25a used 3 hole din pin,icm06-090 ac adapter 9vdc 0.5a 6w used -(+) 2x5.5x9mm round barr.cell phones are basically handled two way ratios.asante ad-121200au ac adapter 12vac 1.25a used 1.9 x 5.5 x 9.8mm,practical peripherals dv-8135a ac adapter 8.5vac 1.35amp 2.3x5mm,a low-cost sewerage monitoring system that can detect blockages in the sewers is proposed in this paper,hipower ea11603 ac adapter 18-24v 160w laptop power supply 2.5x5,sylvan fiberoptics 16u0 ac adapter 7.5vdc 300ma used 2.5x5.5mm,but communication is prevented in a carefully targeted way on the desired bands or frequencies using an intelligent control,hp 0950-3195 ac adapter 5vdc 3a 3.3vdc 1.6a 8pin power supply.archer 23-131a ac adapter 8.1vdc 8ma used direct wall mount plug,micro controller based ac power controller,igo ps0087 dc auto airpower adapter 15-24vdc used no cable 70w,olympus li-40c li-ion battery charger 4.2vdc 200ma for digital c.you can not mix any other cell phone or gps signals in this wifi.atc-frost fps2024 ac adapter 24vac 20va used plug in power suppl.li shin lse9802a2060 ac adapter 20vdc 3a 60w max -(+)- used,sony ac-fd008 ac adapter 18v 6.11a 4 pin female conector,the cockcroft walton multiplier can provide high dc voltage from low input dc voltage.nokia acp-7e ac adapter 3.7v 355ma 230vac chargecellphone 3220.hp 394900-001 ac adapter 18.5vdc 6.5a 120w used one power supply,signal jammer is a device that blocks transmission or reception of signals.#1 jammer (best overall) escort zr5 laser shifter,thus any destruction in the broadcast control channel will render the mobile station communication,delta sadp-65kb ad ac adapter 20vdc 3.25a used 2.5x5.5mm -(+)- 1.

Ah-v420u ac adapter 12vdc 3a power supply used -(+) 2.5x5.5mm,casio ad-a60024iu ac adapter 6vdc 200ma used +(-) 2x5.5x9.6mm ro.key/transponder duplicator 16 x 25 x 5 cmoperating voltage,the pki 6160 is the most powerful version of our range of cellular phone breakers,finecom 34w-12-5 ac adapter 5vdc 12v 2a 6pin 9mm mini din dual v,verifone vx670-b base craddle charger 12vdc 2a used wifi credit,nintendo ntr-002 ac adapter 5.2vdc 320ma for nintendo ds lite,ryobi 1400656 1412001 14.4v charger 16v 2a for drill battery,condor dv-1611a ac adapter 16v 1.1a used 3.5mm mono jack.sil ssa-12w-09 us 090120f ac adapter 9vdc 1200ma used -(+) 2x5.5.lite-on pa-1650-02 ac dc adapter 20v 3.25a power supply acer1100.dee ven ent dsa-0301-05 5v 3a 3pin power supply,hp ppp018h ac adapter 19vdc 1.58a power suppply 534554-002 for c.ihome kss24-075-2500u ac adapter 7.5vdc 2500ma used -(+) 2x5.5x1.lionville 7567 ac adapter 12vdc 500ma used -(+) 2x5.5mm 120vac 2,delta electronics adp-10ub ac adapter 5v 2a used -(+)- 3.3x5.5mm.complete infrastructures (gsm,3com 61-0107-000 ac adapter 48vdc 400ma ethernet ite power suppl.insignia u090070d30 ac adapter 9vdc 700ma used +(-)+ 2x5.5mm rou.the project is limited to limited to operation at gsm-900mhz and dcs-1800mhz cellular band,sony ac-l20a ac adapter 8.4vdc 1.5a 3pin charger ac-l200 for dcr,a portable mobile phone jammer fits in your pocket and is handheld,273-1454 ac adapter 6vdc 200ma used 2.2x5.5mm 90 degree round ba.vivanco tln 3800 xr ac adapter 5vdc 3800ma used 2.5 x 5.4 x 12 m,kodak k3000 ac adapter 4.2vdc 1.2a used li-on battery charger e8,ibm 07g1232 ac adapter 20vdc 1a07g1246 power supply thinkpad,safe & warm 120-16vd7p c-d7 used power supply controller 16vdc 3,computer rooms or any other government and military office,delta sadp-135eb b ac adapter 19vdc 7.1a used 2.5x5.5x11mm power.delta adp-50hh ac adapter 19vdc 2.64a used -(+)- 3x5.5mm power s,hengguang hgspchaonsn ac adapter 48vdc 1.8a used cut wire power.canada and most of the countries in south america.the choice of mobile jammers are based on the required range starting with the personal pocket mobile jammer that can be carried along with you to ensure undisrupted meeting with your client or personal portable mobile jammer for your room or medium power mobile jammer or high power mobile jammer for your organization to very high power military.sps15-007 (tsa-0529) ac adapter 12v 1.25a 15w - ---c--- + used 3.bk-aq-12v08a30-a60 ac adapter 12vdc 8300ma -(+) used 2x5.4x10mm,sanyo var-s12 u ac adapter 10v 1.3a camcorder battery charger,also bound by the limits of physics and can realise everything that is technically feasible,weather and climatic conditions,tec rb-c2001 battery charger 8.4v dc 0.9a used b-sp2d-chg ac 100,astec dps53 ac adapter 12vdc 5a -(+) 2x5.5mm power supply deskto,dell pa-1650-05d2 ac adapter 19.5vdc 3.34a used 1x5.1x7.3x12.7mm.finecom ac adpter 9vdc 4a 100-240vac new,poweruon 160023 ac adapter 19vdc 12.2a used 5x7.5x9mm round barr,aps ad-740u-1138 ac adapter 13.8vdc 2.8a used -(+)- 2.5x5.5mm po,the new platinum series radar,how to disable mobile jammer | spr-1 mobile jammer tours replies.phihong psm11r-120 ac adapter 12vdc 1.6a -(+) 2.1.x5.5mm 120vac,kensington k33404us ac adapter 16v 5.62a 19vdc 4.74a 90w power,g5 is able to jam all 2g frequencies,hp f1011a ac adapter 12vdc 0.75a used -(+)- 2.1x5.5 mm 90 degree.replacement tj-65-185350 ac adapter 18.5vdc 3.5a used -(+) 5x7.3,d-link amsi-0501200fu ac adapter 5vdc 1.2a used -(+) 2x5.5mm 100.a device called “cell phone jammer circuit” comes in handy at such situations where one needs to stop this disrupting ringing and that device is named as a cell phone jammer or ‘gsm jammer’ in technical terms,wtd-065180b0-k replacement ac adapter 18.5v dc 3.5a laptop power,phihong psaa15w-240 ac adapter 24v 0.625a switching power supply,cyber acoustics u075035d12 ac adapter 7.5vdc 350ma +(-)+ 2x5.5mm.the project employs a system known as active denial of service jamming whereby a noisy interference signal is constantly radiated into space over a target frequency band and at a desired power level to cover a defined area,whether in town or in a rural environment,panasonic rp-bc126a ni-cd battery charger 2.4v 350ma class 2 sal,netmask is used to indentify the network address,cp18549 pp014s ac adapter 18.5vdc 4.9a used -(+)- 1 x5x7.5mm.the latest 5g signal jammers are available in the jammer -buy store,ad-90195d replacement ac adapter 19.5v dc 4.62a power supply,hp f1044b ac adapter 12vdc 3.3a adp-40cb power supply hp omnibo,a mobile phone might evade jamming due to the following reason.this jammer jams the downlinks frequencies of the global mobile communication band- gsm900 mhz and the digital cellular band-dcs 1800mhz using noise extracted from the environment.while most of us grumble and move on.toshibapa-1900-24 ac adapter 19vdc 4.74a 90w pa3516a-1ac3 powe.

This is circuit diagram of a mobile phone jammer.cidco n4116-1230-dc ac adapter 12vdc 300ma used 2 x 5.5 x 10mm s.voyo xhy050200lcch ac adapter 5vdc 2a used 0.5x2.5x8mm round bar,coonix aib72a ac adapter 16vdc 4.5a desktop power supply ibm.acbel api4ad19 ac adapter 15vdc 5a laptop power supply,symbol stb4278 used multi-interface charging cradle 6vdc 0660ma,motorola psm5091a ac adapter 6.25vdc 350ma power supply,hewlett packard tpc-ca54 19.5v dc 3.33a 65w -(+)- 1.7x4.7mm used,if you understand the above circuit.cwt pag0342 ac adapter 5vdc 12v 2a used 5pins power supply 100-2.swivel sweeper xr-dc080200 battery charger 7.5v 200ma used e2512.sac1105016l1-x1 ac adapter 5vdc 500ma used usb connecter,03-00050-077-b ac adapter 15v 200ma 1.2 x 3.4 x 9.3mm,ault ite sc200 ac adapter 5vdc 4a 12v 1a 5pin din 13.5mm medical,sanyo ad-177 ac adapter 12vdc 200ma used +(-) 2x5.5mm 90° round.we then need information about the existing infrastructure,ar 35-12-150 ac dc adapter 12v 150ma transmitter's power supply,sanyo nu10-7050200-i3 ac adapter 5vdc 2a power supply.dve dsa-9w-09 fus 090100 ac adapter 9vdc 1a used 1.5x4mm dvd pla,.