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HTC SPV MDA G1 Zdalny Unlock Kodem Po IMEI - Również DESIRE
GSM-Support ul. Bitschana 2/38, 31-420 Kraków mobile +48 608107455, NIP PL9451852164 REGON: 120203925 www.gsm-support.net HTC SPV MDA G1 zdalny unlock kodem po IMEI - również DESIRE Jest to usługa pozwalająca na zdjęcie simlocka z telefonów HTC / SPV / QTEK / MDA / G1-Google / Xperia poprzez kod - łącznie z najnowszą bazą! Kod podawany jest na podstawie numeru IMEI, modelu oraz sieci, w której jest simlock. Numer IMEI można sprawdzić w telefonie poprzez wybranie na klawiaturze *#06#. Do każdego numeru IMEI przyporządkowany jest jeden kod. W polu na komentarz prosimy podać model, IMEI oraz kraj i nazwę sieci, w której jest załozony simlock. Czas oczekiwania na kod to średnio 2h. Nie zdejmujemy simlocków kodem z HTC Touch HD z sieci Play, HTC Touch Pro z Orange Polska i innych, które wyraźnie są wymienione na samym dole opisu! Usługa obejmuje modele: DOPOD 310 (HTC Oxygen) DOPOD 535 (HTC Voyager) DOPOD 565 (HTC Typhoon) DOPOD 566 (HTC Hurricane) DOPOD 575 (HTC Feeler) DOPOD 577W (HTC Tornado) DOPOD 585 (HTC Amadeus) DOPOD 586 (HTC Hurricane) DOPOD 586W (HTC Tornado) DOPOD 595 (HTC Breeze) DOPOD 686 (HTC Wallaby) DOPOD 696 (HTC Himalaya) DOPOD 696i (HTC Himalaya) DOPOD 699 (HTC Alpine) DOPOD 700 (HTC Blueangel) DOPOD 710 (HTC Startrek) DOPOD 710+ (HTC Startrek) DOPOD 818 (HTC Magician) DOPOD 818 Pro (HTC Prophet) DOPOD 818C (HTC Wave) DOPOD 828 (HTC Magician) DOPOD 828+ (HTC Magician) DOPOD 830 (HTC Prophet) DOPOD 838 (HTC Wizard) DOPOD 838 Pro (HTC Hermes) DOPOD 900 (HTC Universal) DOPOD C500 (HTC Vox) DOPOD C720 (HTC Excalibur) DOPOD C720W -
LNCS 5101, Pp
Database Prebuffering as a Way to Create a Mobile Control and Information System with Better Response Time Ondrej Krejcar and Jindrich Cernohorsky VSB Technical University of Ostrava, Center of Applied Cybernetics, Department of measurement and control, 17. Listopadu 15, 70833 Ostrava Poruba, Czech Republic {Ondrej.Krejcar,Jindrich.Cernohorsky}@vsb.cz Abstract. Location-aware services can benefit from indoor location tracking. The widespread adoption of Wi-Fi as the network infrastructure creates the opportunity of deploying WiFi-based location services with no additional hardware costs. Additionally, the ability to let a mobile device determine its location in an indoor environment supports the creation of a new range of mobile control system applications. Main area of interest is in a model of a radio-frequency based system enhancement for locating and tracking users of our control system inside the buildings. The developed framework as it is described here joins the concepts of location and user tracking as an extension for a new control system. The experimental framework prototype uses a WiFi network infrastructure to let a mobile device determine its indoor position. User location is used for data pre-buffering and pushing information from server to user’s PDA. All server data is saved as artifacts (together) with its position information in building. Keywords: prebuffering; localization; framework; Wi-Fi; 802.11x; PDA. 1 Introduction The usage of various wireless technologies has been increased dramatically and would be growing in the following years. This will lead to the rise of new application domains each with their own specific features and needs. Also these new domains will undoubtedly apply and reuse existing (software) paradigms, components and applications. -
3G Investigations
22. Chaos Communication Congress 2005 3G Investigations Achim ‘ahzf’ Friedland / Daniel ‘btk’ Kirstenpfad <[email protected]> / <[email protected]> http://www.ahzf.de/itstuff/VoE/22C3_3GInvestigations.pdf 29. December 2005 Sometime in the past… … we dreamed of “ubiquitous communication” and radio technologies should help us... 22C3 – 3G Investigations page 2 <[email protected], [email protected]> Sometime in the past… … we dreamed of “ubiquitous communication” and radio technologies should help us... but we had some difficulties with congestion control of the Transmission Control Protocol and the bursty nature of failures on radio/wlan links... 22C3 – 3G Investigations page 3 <[email protected], [email protected]> Sometime in the past… … we dreamed of “ubiquitous communication” and radio technologies should help us... but we had some difficulties with congestion control of the Transmission Control Protocol and the bursty nature of failures on radio/wlan links... After some thinking people of earth found a solution: TCP with Selective Acknowledgments (TCP SACK, rfc 2018) 22C3 – 3G Investigations page 4 <[email protected], [email protected]> Some billion euros later... … we dreamed of “ubiquitous communication” with our new 3G/UMTS cellular phone... 22C3 – 3G Investigations page 5 <[email protected], [email protected]> Some billion euros later... … we dreamed of “ubiquitous communication” with our new 3G/UMTS cellular phone... but again mother nature isn’t very nice to us. We have to suffer of strange delays, obscure packet losses and nobody seems to know why... ;) 22C3 – 3G Investigations page 6 <[email protected], [email protected]> Some billion euros later.. -
Enabling Wireless Technologies for Green Pervasive Computing
EURASIP Journal on Wireless Communications and Networking Enabling Wireless Technologies for Green Pervasive Computing Guest Editors: Naveen Chilamkurti, Sherali Zeadally, Abbas Jamalipour, and Sajal k. Das Enabling Wireless Technologies for Green Pervasive Computing EURASIP Journal on Wireless Communications and Networking Enabling Wireless Technologies for Green Pervasive Computing Guest Editors: Naveen Chilamkurti, Sherali Zeadally, Abbas Jamalipour, and Sajal k. Das Copyright © 2009 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in volume 2009 of “EURASIP Journal on Wireless Communications and Networking.” All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Editor-in-Chief Luc Vandendorpe, Universite´ catholique de Louvain, Belgium Associate Editors Thushara Abhayapala, Australia Zabih F. Ghassemlooy, UK Marc Moonen, Belgium Mohamed H. Ahmed, Canada Christian Hartmann, Germany Eric Moulines, France Farid Ahmed, USA Stefan Kaiser, Germany Sayandev Mukherjee, USA Carles Anton-Haro,´ Spain George K. Karagiannidis, Greece Kameswara Rao Namuduri, USA Anthony C. Boucouvalas, Greece Chi Chung Ko, Singapore AmiyaNayak,Canada Lin Cai, Canada Visa Koivunen, Finland Claude Oestges, Belgium Yuh-Shyan Chen, Taiwan Nicholas Kolokotronis, Greece A. Pandharipande, The Netherlands Pascal Chevalier, France Richard Kozick, USA Phillip Regalia, France Chia-Chin Chong, South Korea Sangarapillai Lambotharan, UK A. Lee Swindlehurst, USA Soura Dasgupta, USA Vincent Lau, Hong Kong George S. Tombras, Greece Ibrahim Develi, Turkey DavidI.Laurenson,UK Lang Tong, USA Petar M. Djuric,´ USA Tho Le-Ngoc, Canada Athanasios Vasilakos, Greece Mischa Dohler, Spain Wei Li, USA Ping Wang, Canada Abraham O. -
Artoolkitplus for Pose Tracking on Mobile Devices
Computer Vision Winter Workshop 2007, Michael Grabner, Helmut Grabner (eds.) St. Lambrecht, Austria, February 6–8 Graz Technical University ARToolKitPlus for Pose Tracking on Mobile Devices Daniel Wagner and Dieter Schmalstieg Institute for Computer Graphics and Vision, Graz University of Technology { wagner, schmalstieg } @ icg.tu-graz.ac.at Abstract In this paper we present ARToolKitPlus, a fiducial markers is undesirable, the deployment of black- successor to the popular ARToolKit pose tracking library. and-white printed markers is inexpensive and quicker than ARToolKitPlus has been optimized and extended for the accurate off-line surveying of the natural environment. By usage on mobile devices such as smartphones, PDAs and encoding unique identifiers in the marker, a large number Ultra Mobile PCs (UMPCs). We explain the need and of unique locations or objects can be tagged efficiently. specific requirements of pose tracking on mobile devices These fundamental advantages have lead to a proliferation and how we met those requirements. To prove the of marker-based pose tracking despite significant advances applicability we performed an extensive benchmark series in pose tracking from natural features. on a broad range of off-the-shelf handhelds. In this paper we focus on ARToolKitPlus, an open source marker tracking library designed as a successor to 1 Introduction the extremely popular open source library ARToolKit [4]. ARToolKitPlus is unique in that it performs extremely Augmented Reality (AR) and Virtual Reality (VR) require well across a wide range of inexpensive devices, in real-time and accurate 6DOF pose tracking of devices such particular ultra-mobile PCs (UMPCs), personal digital as head-mounted displays, tangible interface objects, etc. -
Kinh Nghiem Uprom Dong May HTC V.07.10.07
Kinh nghi ệm uprom dòng máy HTC: b ắt ñầu t ừ ñâu? Mở ñầu: Sau khi mua máy Pocket PC phone, ñiều ñầu tiên là tôi lao vào các di ễn ñàn ñể tìm thông tin, m ột m ặt là tìm hi ểu v ề ph ần m ềm dùng trên PPC m ặc khác là tìm hi ểu v ề chuy ện UPROM nó ra làm sao?. Tuy nhiên, sau khi ñọc m ột lo ạt các thông tin, tôi b ắt ñầu th ấy có 2 ñiều ñáng s ợ. 1. Sợ là vì b ỏ ti ền ra mua máy khoảng 10-12 tri ệu ñồng nh ưng sau khi ham vui UPROM xong thì máy thành “c ục g ạch” ch ặn gi ấy ñen ngòm mà không bi ết ph ải làm sao? Vậy mà sau khi ki ếm ñủ thông tin thì tôi v ẫn còn s ợ. 2. Cái s ợ th ứ 2: là ñã có ñủ thông tin, nh ưng ña s ố bài vi ết ch ỉ mô t ả b ằng ch ữ là chính mà không có hình ảnh. Cái này nó gi ống nh ư là h ọc sinh ti ểu h ọc nghe th ầy giáo mô t ả “con trâu” nh ưng ch ưa bao gi ờ th ấy con trâu ra làm sao?. ðiều này th ật s ự ñáng s ợ. Tuy nhiên sau m ột h ồi tìm ki ếm, thì c ũng có m ột s ố di ễn ñàn h ọ mô t ả vi ệc upROM b ằng hình ảnh, ñiều này th ật s ự h ữu ích cho nh ững ng ười m ới b ắt ñầu. -
Open BAR a New Approach to Mobile Backup and Restore
Universit`adegli Studi di Roma “Tor Vergata” Facolt`adi Ingegneria Dottorato di Ricerca in Informatica ed Ingegneria dell’Automazione Ciclo XXIII Open BAR A New Approach to Mobile Backup And Restore Vittorio Ottaviani A.A. 2010/2011 Docente Guida/Tutor: Prof. Giuseppe F. Italiano Coordinatore: Prof. Daniel P. Bovet to my parents because an example is worth a thousand words Abstract Smartphone owners use to save always more information, and more impor- tant data into the internal memory of their devices. Mobile devices are prone to be lost, stolen or broken; this causes the loss of all the information contained in it if these data are not backed up. While many solutions for making back- ups and restoring data are known for servers and desktops, mobile devices pose several challenges, mainly due to the plethora of devices, vendors, oper- ating systems and versions available in the mobile market. In this thesis, we propose a new backup and restores approach for mobile devices, which helps to reduce the effort in saving and restoring personal data and migrate from a device to another. Our approach is platform independent: in particular, we present some prototypes based on different mobile operating systems: Google Android, Windows Mobile 5 and 6 and Symbian S60. The approach grants the security of the information backed up and restored using novel cryptographic techniques optimized for mobile. Another feature of our approach lies in the capability of offering additional services to the final user or to administrator of the system. As an example, for users, we provide a service enabling the shar- ing of information in mobile devices among a group of selected persons. -
Compression Techniques
On device Anomaly Detection for resource-limited systems Maroua Ben Attia École de technologie supérieure (ÉTS) Dép. Génie logiciel et des TI 1 Introduction and Motivation Framework's Architecture: Anomaly Detection Storage Profiling Project Summary Feedback? 2 Introduction: Embedded System Evolution Year Mobile device RAM (MB) Storage (MB) CPU(Mhz) Connectivity 2004 Nokia 6630 10 64 220 Bluetooth, EDGE, GPRS 2005 HTC Universal 64 128 520 Bluetooth, WLAN, GPRS 2006 HTC TyTN 64 128 400 Bluetooth, WLAN, GPRS, EDGE 2007 Nokia N95 128 8192 332 x2 Bluetooth, WLAN, GPRS, EDGE 2008 Nokia N96 128 16384 264 x2 Bluetooth, WLAN, GPRS, EDGE 2009 Apple iPhone 3GS 256 32764 600 Bluetooth, WLAN, GPRS, EDGE 2010 Samsung Galaxy S 512 16384 1000 Bluetooth, WLAN, GPRS, EDGE 2011 Samsung Galaxy S2 1024 16384 1200 Bluetooth, WLAN, GPRS, EDGE 2012 iPhone 5 1024 65563 1300 x2 Bluetooth, WLAN, GPRS, EDGE 2013 Samsung Galaxy S4 2048 65563 1600 x4 Bluetooth, WLAN, GPRS, EDGE 2014 Samsung Galaxy S5 2048 65563 2500 x4 Bluetooth, WLAN, GPRS, EDGE In 10 Years RAM: 204 x Storage: 1024 x CPU: 45 x 3 Introduction: Malware Evolution (1) Mobile devices 2 years of mobile malware evolution <=> 20 years of Computer malware evolution SOURCE: Sophos, “Mobile Security Threat Report”, 2014, http://www.sophos.com/en-us/medialibrary/PDFs/other/sophos-mobile- 4 security-threat-report.pdf Introduction: Malware Evolution (2) Mobile devices “F-Secure 2014: Android devices are the more popular target for attacks with 294 new threat families or variants ” SOURCE: Sophos, " Sophos -
Accessing of Large Multimedia Content on Mobile Devices by Partial Prebuffering Techniques
Accessing of Large Multimedia Content on Mobile Devices by Partial Prebuffering Techniques Ondrej Krejcar1, Dalibor Janckulik1, Leona Motalova1 1 VSB Technical University of Ostrava, Center for Applied Cybernetics, Department of measurement and control, 17. Listopadu 15, 70833 Ostrava Poruba, Czech Republic [email protected], [email protected], [email protected] Abstract. New types of complex mobile devices can operate full scale applications with same comfort as their desktop equivalents only with several limitations. One of them is insufficient transfer speed on wireless connectivity in case of downloading the large multimedia files. Main area of paper is in a model of a system enhancement for locating and tracking users of a mobile information system. User location is used for data prebuffering and pushing information from server to user’s PDA. All server data is saved as artifacts along with its position information in building or larger area environment. The new partial prebuffering techniques is designed and pretested. The accessing of prebuffered data on mobile device can highly improve response time needed to view large multimedia data. This fact can help with design of new full scale applications for mobile devices. Keywords: Mobile Device; Localization; Prebuffering; Response Time; Area Definition 1 Introduction The usage of various mobile wireless technologies and mobile embedded devices has been increasing dramatically every year and would be growing in the following years. This will lead to the rise of new application domains in network-connected PDAs or XDAs (the "X" represents voice and information/data within one device; "Digital Assistant") that provide more or less the same functionality as their desktop application equivalents. -
Forensic Acquisition for Windows Mobile Pocketpc
MIAT-WM5: FORENSIC ACQUISITION FOR WINDOWS MOBILE POCKETPC Fabio Dellutri, Vittorio Ottaviani, Gianluigi Me Dip. di Informatica, Sistemi e Produzione - Universita` degli Studi di Roma “Tor Vergata” Via del Politecnico 1, 00133 Rome, Italy Email: fdellutri,ottaviani,[email protected] KEYWORDS nectors for every single mobile device. In fact, current Mobile Forensics, Data Seizure, PDA, PocketPC, Win- acquiring tools, adopted by forensic operators, extract the dows Mobile internal memory remotely (typically via USB), with pro- prietary mobile phone connectors: a forensic tool run- ning on a laptop is connected with the target device and, ABSTRACT using the OS services, it extracts the data like SMS, A PocketPC equipped with phone capabilities could be MMS, TODO list, pictures, ring tones etc. This approach seen as an advanced smartphone, providing more com- has the advantage putational power and available resources. Even though several technologies have emerged for PDAs and Smart- • to minimize the interaction with the device and phones forensic acquisition and analysis, only few tech- • to automate the procedure of the interpretation of nologies and products are capable of performing foren- the seized data. sic acquisition on PocketPC platform; moreover they rely on proprietary protocols, proprietary cable-jack and pro- However, the main disadvantage is the partial access of prietary operating systems. This paper presents the Mo- the file system, which relies on the communication pro- bile Internal Acquisition Tool for PocketPC devices. The tocol. As discussed above, since many protocols are pro- approach we propose in this paper focuses on acquir- prietary, we can not see how many effects the data ex- ing data from a mobile device’s internal storage memory, changed have on the memory status. -
Myexperience
June 12th, 2007 MobiSys : Mobile Systems, Applications and Services myexperience A System for In Situ Tracing and Capturing of User Feedback on Mobile Phones Jon Froehlich1 Mike Chen2, Sunny Consolvo2, design: 2 1,2 use: Beverly Harrison , and James Landay build: 1 university of washington 2 Intel Research, Seattle mobile computing Mobile devices are used in a variety of contexts 2 lab methods For example, past research has looked at translating lab- based methods into a “mobile setting” 3 goal . Create a software tool that collects data about real device usage & context in the field . Data can be used to • Better understand actual device/system usage − E.g., how mobility patterns affect access to WiFi • Inform the design of future systems − E.g., optimize battery utilization algorithms based on charging behaviors 4 research challenges 1. Coverage: collect rich information about features of interest 2. Scale: collect large amounts of data over long periods of time 3. Extensible: easily add new data collecting capabilities 4. Situated: collect real usage data in its natural setting 5. Robustness: protect or backup data collected in the field 5 the myexperience tool Device usage and environmentUsers respond to short context- state are automatically sensedtriggered surveys on their mobile and logged. device. sensors user + Technique scales well+ Can gather otherwise – Cannot capture user intention,imperceptible data perception, or reasoning– Lower sampling rate than + sensors= context self-report myexperience MyExperience combines automatic sensor data traces with contextualized self- report to assist in the design and evaluation of mobile technology sensors, triggers, actions Sensors Triggers Actions trigger 15 0 Example Sensor: Example Triggers: Example Actions: DeviceIdleSensor DeviceIdle > 15 mins SurveyAction PhoneCallSensor PhoneCall.Outgoing == true ScreenshotAction RawGpsSensor Gps.Longitude == “N141.23” VibrationAction PlaceSensor Place.State == “Home” SmsSendAction WiFiSensor WiFi.State == “Connected” DatabaseSyncAction xml / scripting interface . -
Voici La Liste Des Modèles Déblocables
Voici la liste des modèles déblocables : Acer Liquid Alcatel -BF3, BF4, BF5, BG3, BH4 -Exxx series (E157, E158, E159, E160) -OT320 TH3, TH4, OT320,B331,C700, C701, C707, C717, C820, C825,E101 FLIP, EL03,MANDRINA DUCK, MISS SIXTY, PLAYBOY -OT203-A-E, OT280, OT303, OT360, OT363, OT383, OT600, OT660, OT708, OT800, S215, S218, S319,S320, S321, S520, S621, S853,V570, V670, V770,VM621I -E105,E157,E159,E200,E205,E220,E230,E252,E256,E257,E259,E260,E265,E801,E805 Benq S660, O2X2,E72 Alcatel Alcatel X020,X030x,X060S,X070S,X080S,X100X,X200X, X200S,X210x,X210S,X215S,S220L,X225L,X225S,X228L Huawei E156,E155,E1550,E1552,E156G,E160 (Orange),E160G,E161 E166,E169,E169G,E170,E172 (Sfr),E176,E1762,E180 E182E,E196,E226,E270,E271,E272,E510,E612 E618,E620,E630,E630+,E660,E660A,E800,E870 E880,EG162,E880,EG162,EG162G,EG602,EG602G Vodafone K2540,K3515,K3520 K3565,K3520,K3565 ZTE MF100, MF100 Kyivstar,MF110, MF332 MF616,MF620,MF622,MF622,MF622+ MF626,MF627,MF628,MF632,MF633,MF633+ MF636,MF637,MF662,MF668 HTC HTC HIMALAYA Qtek 2020 – Dopod 696 – Dopod699 – O2 XDA II – T-Mobile MDA II - i-mate Pocket PC Phone Edition – Orange SPV M1000 – VodafoneVPA Telefonica TSM500 – KromeNavigator F1 etc… HTC blue angel O2 XDA IIs – T-Mobile MDA III – i-mate PDA2k – Qtek 9090 - Dopod 700 – Orange SPV M2000 – E-Plus PDA III – Siemens SX66 - Tata Indicom Ego etc… HTC htc elf HTC P3450 – HTC Touch – HTC Ted Baker Needle – HTC Touch P3450 - Dopod S1 – T-Mobile MDA Touch – O2 Xda Nova etc… HTC EXCALIBUR HTC S620 – HTC S621 – Dopod C720W – Dopod C720 – T-Mobile Dash - T-Mobile MDA Mail