http://localhost:20000/ 2026-05-16T13:44:09+07:00 http://localhost:20000/ http://localhost:20000/lib/tpl/incognitek/images/favicon.ico text/html 2025-10-13T12:45:44+07:00 http://localhost:20000/doku.php?id=class:gradmc2012f:how_to_present&rev=1760334344&do=diff How to present Clear, clear, clear Slides * Use less text, more pictures * Make slides, not scripts * Use larger fonts if possible * Make the slides simple, and you should fill between the lines * Never copy the text. Speak in your voice. text/html 2025-10-13T12:45:44+07:00 http://localhost:20000/doku.php?id=class:gradmc2012f:note_activity_recognition&rev=1760334344&do=diff This paper evaluates a system, which uses phone-based accelerometer, to identify a physical activity (walking, jogging, climbing stairs, sitting, and standing) a user is performing. Data is collected from 29 users, and this training data is used to make a predictive model for activity recognition. text/html 2025-10-13T12:45:46+07:00 http://localhost:20000/doku.php?id=class:gradmc2012f:note_greengps&rev=1760334346&do=diff This paper focuses on a navigation service (GreenGPS) for vehicles in which fuel efficient routs are computed. GreenGPS helps to reduces CO2 emissions, which has a positive effect on the environment. The idea behind this approach is participatory sensing, where the data is collected through different experiments and analyzed. text/html 2025-10-13T12:45:44+07:00 http://localhost:20000/doku.php?id=class:gradmc2012f:note_parknet&rev=1760334344&do=diff Question 1: Why are we not using stationary sensors only at the parking slot? Why do we need mobile sensor? Answer: Stationary sensors are costly. From stationary sensers, we can get information only for fixed parking slot. We can get all road side parking information by using mobile sensors. Mobile sensor (ultrasonic sensor) is very cheep. text/html 2025-10-13T12:45:44+07:00 http://localhost:20000/doku.php?id=class:gradmc2012f:note_smartphonediversity&rev=1760334344&do=diff Question 1: In figure 1, why data set 1 is higher than data set 2, where data set 1 is for android and data set 2 is for window mobile. Answer: The authors mention that most of users for window mobile phone do not actually use it as a mobile. They use it as a PC. Otherwise, users for Android phone use it as a mobile phone. That’s why the usage for voice when using Android phone is much higher window mobile. The authors think people who buy window mobile phone have motivation for other applicati… text/html 2025-10-13T12:45:46+07:00 http://localhost:20000/doku.php?id=class:gradmc2012f:note_survey_of_mobile_sensing&rev=1760334346&do=diff In this paper, authors survey existing mobile phone sensing algorithms applications and systems. They discuss the emerging sensing paradigms and formulate an architecture framework for discussing a number of the open issues and challenges emerging in the new area of mobile phone sensing research. text/html 2025-10-13T12:45:46+07:00 http://localhost:20000/doku.php?id=class:gradmc2012f:note_the_case_for_vm-based_cloudlets_in_mobile_computing&rev=1760334346&do=diff Resource poverty is a fundamental constraint that severely limits the class of applications that can be run on mobile devices. In this paper,authors put forth a vision of mobile computing that breaks free of this fundamental constraint. In this vision, mobile users seamlessly utilize nearby computers to obtain the resource benefits of cloud computing without incurring WAN delays and jitter. Rather than relying on a distant “cloud,” a mobile user instantiates a “cloudlet” on nearby infrastructure… text/html 2025-10-13T12:45:46+07:00 http://localhost:20000/doku.php?id=class:gradmc2012f:note_unsupervised_activity_recognition&rev=1760334346&do=diff A fundamental difficulty in recognizing human activities is obtaining the labeled data needed to learn models of those activities. Given emerging sensor technology,however, it is possible to view activity data as a stream of natural language terms. Activity models are then mappings from such terms to activity names,and may be extracted from text corpora such as the web. text/html 2025-10-13T12:45:44+07:00 http://localhost:20000/doku.php?id=class:gradmc2012f:note_wiffler_3g_wifi&rev=1760334344&do=diff This study describes a system, called Wiffler, to augment 3G with WiFi in mobile environment. We need this because 3G is costly, but more ubiquitous, and WiFi is cheaper and intermittently available. It can cover the poor availability and performance of WiFi by quickly switching to 3G, and it can offload more data on WiFi, if delaying reduces 3G usage. text/html 2025-10-13T12:45:44+07:00 http://localhost:20000/doku.php?id=class:gradmc2012f:note_wireless_location_privacy_protection_in_vehicular_ad-hoc_networks&rev=1760334344&do=diff The contributions of this paper are: * Propose the vehicle density-based location privacy (DLP) scheme, which can mitigate the location tracking of vehicles by changing pseudonyms based on a threshold in neighboring vehicle count within a density zone. text/html 2025-10-13T12:45:46+07:00 http://localhost:20000/doku.php?id=class:gradmc2012f:privacy_reading_list&rev=1760334346&do=diff Overview * [PDF] LAM * by Marc Langheinrich. * in Ubiquitous Computing (UbiComp), LNCS 2201, Springer, 2001. DOI=10.1007/3-540-45427-6_23. Also available at CiteSeer. * Summary: This article provides a solid foundation for thinking about privacy in ubiquitous computing systems. text/html 2025-10-13T12:45:46+07:00 http://localhost:20000/doku.php?id=class:gradmc2012f:reading_list&rev=1760334346&do=diff Reading/ Writing * How to Read a Paper by S. Keshav, ACM SIGCOMM Computer Communication Review archive Volume 37 Issue 3, July 2007, [PDF] * Timothy Roscoe, "Writing reviews for systems conferences", PDF * George M. Whtesides, "Whitesides' Group: Writing a Paper",