Mong-Fong Horng

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In this paper, we propose two approaches to improve the security of clustering-based sensor networks: authentication-based intrusion prevention and energy-saving intrusion detection. In the first approach, different authentication mechanisms are adopted for two common packet categories in generic sensor networks to save the energy of each node. In the(More)
A pay load-analysis approach to identification and measurement of peer-to-peer (P2P) network services is proposed. The proposed approach effectively and efficiently identifies the complicated traffic caused by P2P network services. The feature extraction, pay load analysis and dynamic measurement are the three pillars of the proposed approach. The dynamics(More)
Temporary congestion on wireless mesh networks is often encountered. The robustness of connections has become a significant issue. Rate reduction is the general way to mitigate congestion nowadays. “Path-alternation-based throughput regulator (PATR)” is an alternative-path approach to improve the robustness of TCP connections and it consists(More)
PURPOSE The aim of this study was to develop a multivariate logistic regression model with least absolute shrinkage and selection operator (LASSO) to make valid predictions about the incidence of moderate-to-severe patient-rated xerostomia among head and neck cancer (HNC) patients treated with IMRT. METHODS AND MATERIALS Quality of life questionnaire(More)
In this paper, a fast-startup TCP (fsTCP) mechanism for VoIP services in long-distance networks is proposed. Most VoIP applications usually operate on the top of UDP/IP protocol. However, there are some weaknesses in long-distance connections. For example, UDP offers no congestion control and no adjustment in voice packet rate. Traditional TCP protocol(More)
Crepitus is a prominent sign during the knee joint undergoing a range of motion which can be detected to form the vibroarthrographic (VAG) signals. These signals can be used as useful indicators of osteoarthritis (OA) status for supplementing conventional X-ray imaging in the diagnosis of knee OA. In this study, a non-invasive knee OA diagnosis system was(More)
In this paper, a scheme of moving-vehicles behavior detection based on a Zigbee network is proposed. Three-axis accelerometers are installed on vehicles to capture the moving vehicle postures. A fuzzy inference system is developed to infer the six basic states of vehicle posture, such as normal driving, left/right turning, departure, accelerate, braking and(More)