Since I'm always in a seek for a brand new challenge and a extremely good project I have decided this time to construct in python programming language my very own GPS tracking server. Server should receive connections from GPS gadgets (both protocols TCP and UDP ought to be supported). Server should settle for GPS knowledge, proccess the data and than load that knowledge in actual time to the viewable map. This is the outcome and ItagPro description of my mission. Picture: Flowchart logic: receiving, analyzing and inputing knowledge to the database. To activate the GPS gadget it's good to insert SIM card with GPRS functionality contained in the GPS gadget. Than I took my GPS system and related it to power since I do not understand how long battery on GPS device can hold (I made my very own adapter). Next step was to setup the GPS device (password, IP, ItagPro PORT, APN, TCP or UDP) by sending the SMS messages to SIM card contained in the GPS device (to bad there was no port for ItagPro serial connection obtainable).

Last step was to activate the GPRS capability. After activating the GPS system, machine was capable of send data over the web to my take a look at server by way of GPRS. Remark: Data sent by almost any GPS device can be sent utilizing TCP and UDP protocol. TCP connection has sligthly larger overhead than the UDP and reqiures just a little bit more bandwidth, however because of this this connection has nice reliability throughout the information switch. As I said, data will be sent over UDP protocol as effectively. UDP would not require any handshakes to establish the connection nor overheads to keep up the connection. Since it's conenctionless kind of knowledge transfer. Meaning, the integrity of the transfered information may be endangered. I had to code TCP/UDP server which ought to pay attention for incoming connections on the precise mixtures of IP:PORT. I used port forwarding for that and iTagPro portable it worked like a charm. Server was runnimg and TCP request for connection came through instantly, connection was established with the GPS system over the prefered protocol (TCP).

GPS machine started sending the info, TCP server acquired it (I used regex for knowledge extraction, image bellow). After the info extraction, checking was finished to check if it is allowed device by reading the IMEI worth of the device and evaluating it to the listing of the allowed units. If gadget is allowed information is shipped to the Django software (or to database, this I coded after the testing part). If data is valid database is up to date with new records like: IMEI of the device. 1 second). But, motive why I like that is which you could create many parallel TCP proccesses (TCP servers if you will) with totally different PORT numbers. On the picture bellow you can see older model which wasn't utilizing uvloop and asyncio and was able to keep up single server occasion on port 8000. Server was in a position to work with just one TCP instance. New server is able to listen on a number of PORTs for portable tracking tag various GPS vendors which makes straightforward to recieve, decode and skim knowledge from any variety of GPS units. Decoded knowledge, after had been validated are saved to database or ItagPro file. After that, knowledge can be used inside the Django (geo)utility that I created especially for iTagPro key finder this function. That is the map (first model) I acquired after the information was loaded to the google map. Usage! I can use my app freed from charge and monitor any gadget so long as I decode it is message. There aren't any any fees for me anymore. Next factor iTagPro device to do will be route mapping.

The results obtained in laboratory exams, iTagPro utilizing scintillator bars read by silicon photomultipliers are reported. The current approach is the first step for designing a precision tracking system to be positioned inside a free magnetized quantity for the cost identification of low energy crossing particles. The devised system is demonstrated in a position to supply a spatial resolution higher than 2 mm. Scintillators, Photon Solid State detector, particle monitoring devices. Among the many planned actions was the development of a light spectrometer seated in a 20-30 m3 magnetized air quantity, the Air Core Magnet (ACM). The whole design ought to be optimised for the willpower of the momentum and charge of muons within the 0.5 - 5 GeV/c range (the mis-identification is required to be less than 3% at 0.5 GeV/c). 1.5 mm is required inside the magnetized air volume. On this paper we report the outcomes obtained with a small array of triangular scintillator bars coupled to silicon photomultiplier (SiPM) with wavelength shifter (WLS) fibers.

This bar profile is right here demonstrated able to provide the required spatial resolution in reconstructing the position of the crossing particle by profiting of the cost-sharing between adjoining bars readout in analog mode. SiPMs are wonderful candidates in changing normal photomultipliers in many experimental conditions. Tests have been carried out with laser beam pulses and ItagPro radioactive supply in order to characterize the scintillator bar response and SiPM behaviour. Here we briefly present the noticed behaviour of the SiPM utilized in our assessments regarding the main sources of noise and the impact of temperature on its response and linearity. Several models and packaging have been thought-about. The primary source of noise which limits the SiPM’s single photon decision is the "dark current" rate. It's originated by charge carriers thermally created in the delicate quantity and present within the conduction band and iTagPro geofencing due to this fact it is dependent upon the temperature. The dependence of the darkish present single pixel price as a function of the temperature has been investigated using Peltier cells in order to change and keep the temperature controlled.