Chunming Gao

Compressive sensing based data collection in VANETs

Vehicular ad hoc networks (VANETs) are emerging as an indispensable platform to collect vehicular sensor data, which can be applied to improve traffic efficiency and support numerous promising commercial applications. However, it is challenging to efficiently collect these data without overloading the network. In this paper, a novel scheme, compressive sensing based data collection (CS-DC), is proposed to efficiently collect spatially correlated data in VANETs. CS-DC is able to efficiently reduce communication overhead with low computation and less communication control. To achieve high cluster stability in CS-DC, the distance and mobility based clustering protocol (DIMOC) is proposed to support reliable data transmissions among neighboring nodes. Furthermore, the compressive sensing (CS) theory is applied to efficiently compress in-network data and accurately recover original data. Simulation results show that the CS-DC scheme significantly improves the efficiency, scalability and reliability of data collection in VANETs.

Question Generation for Learner Centered Learning

In the next generation of learning environment, a tablet PC with a stylus pen can be a learning tool. In this paper, a framework for learner centered question generation on the tablet PC is proposed. The framework is based on a learners actions and context of an expository text. In assisting active learning, three different types of questions can be generated according to the learners marking actions. Some associated questions can also be generated based on the type of a question. The generated questions will promote active learning by motivating further self-questionings and markings.

Yet another user input method: Accelerometer assisted single key input

In this paper we present YAUIM - yet another user input method. YAUIM is an alternative user input mechanism to the conventional keyboard, mouse, and touch screen inputs. It utilizes the embedded accelerometer to detect device movements and tilt positions to enable user inputs. Accelerometers embedded in devices have been used to identify meaningful combinations of movements for gaming and small mobile devices for limited user input. Our goal is to design a fully functioning mechanism using only a single key along with accelerometer assisted positioning to emulate the computer keyboard and mouse functions. We propose to use the single key click to record a valid user input. We design a finite state automaton to combine two consecutive tilt positions to represent characters. We integrate a user specific vocabulary hinting system to improve the word input speed. YAUIM can serve as an innovative computer user input mechanism for regular desktop computers, small mobile devices, and special purpose applications.

A social network model for big data privacy preserving and accountability assurance

Social networks have become valuable resources of big data exploration for individual users as well as for researchers and commercial organizations. However, how to protect user privacy while assure data credibility at the same time is still a big challenge both in practice and in academic research. This study presents a social network model for the purpose of big data privacy preserving and credibility assurance. In this paper, we discuss the mechanism of the model and present practical implementation designs on achieving the goals. Applications of the model in healthcare social network are also discussed.

Developing a Multi-Trust Model for Multi-Purpose Healthcare Social Networks

Online E-health platforms have enabled patients to obtain useful references on the Internet, as well as to share information and exchange experiences among people with similar diseases. Such social networks also enable researchers and corporates to conduct studies or advocates on targeted groups of patients. To make such a multi-purpose healthcare social network to be practical, concerns must be addressed regarding data security, patients privacy, user and data credibility, as well as how to promote user participation. This paper addresses these concerns as trust-engagement and develops a multi-trust model integrating public key encryption, access control, credible anonymity, and mutual rating mechanism for a multi-purpose healthcare social network.

Detection of Conjunctive Stable Predicates in Dynamic Systems

We present a distributed on-line algorithm for detecting conjunctive stable predicates in dynamic systems. The algorithm consists of a virtual network topology to maintain the causality relationships between distributed events and protocols to check the verification of the predicates over consistent global states. A lazy detection protocol has been developed to minimize the number of messages for the detection. Let

Building an experimental system to examine a method for supporting verbal explanation

M_c

Effects of quizzes in marking supported e-learning

be the number of detection messages, then the message complexity of the algorithm is

A Study on Haptic Media to Support Verbal Explanations

M_c \le M + n_0

Developing a Prototype for Evaluations of Healthcare Appointment and Registration Smart Assistant

, where