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The data delivery delay is a significant measure in wireless sensor networks when the users focus on data freshness. In the previous work, two approaches named: Unusual Message Delivery Path Construction (UMDPC) and Improved-UMDPC (I-UMDPC), target on delivering unusual message to mobile nodes within the allowed latency. The data collection system consists of a set of sensor nodes (S nodes) to detect...
This paper studies the problem of using path constrained mobile sinks (MSs) to collect data in Wireless Sensor Networks (WSNs). Accounting the feature of nonuniform node distribution, the proposed protocol aims at balancing the energy consumption, including energy expenditure to transmit data packet and network overhead, to make the network operate as long as possible with all nodes alive. We propose...
We consider the problem of navigating an aircraft in a threat environment to its destination while minimizing the maximum threat level and the length of the aircraft path. The proposed method to construct optimal low-risk aircraft paths involves a simple geometric procedure and is very computationally efficient. The effectiveness of the developed algorithm is confirmed by a number of examples.
We consider the scenario where a path-constrained ground vehicle is employed to collect data from the nodes that are massively deployed in a sensing field with varying importance levels in different regions. A novel data collection system model is presented by taking into account a region's important level. An optimization problem aiming at maximizing network utility and minimizing energy consumption...
We consider the path planning problem for a unicycle-like robot used to collect data in a known cluttered sensor field. We focus on several practical issues which have not been dealt with well in the existing approaches: smoothness, obstacle avoidance, and collision-free with sensor nodes. Two algorithms are proposed and the first is called Viable Path Planning (VPP) algorithm to carry out designing...
Edge detection of CT image can help doctors to diagnose and tracing observe more accurately, order morphology is an expansion of basic mathematical morphology, order morphology transformation is the principal conception of order morphology. The paper researches the application of edge detection for liver CT image using multiple order morphology transformation: analyzes the influence on edge detection...
Understanding how M1 neurons innervate flexible coordinated upper limb reaching and grasping is important for BMI systems that attempt to reproduce the same actions. In this paper, we presented a study for exploring M1 neuronal activities while a non-human primate subject was guided to finish different visual cued spatial reaching and grasping tasks. By applying various configurations of target objects...
Robot-assisted rehabilitation is an active area of research to meet the demand of repetitive therapy in stroke rehabilitation. Robotic upper-extremity repetitive trainer (RUPERT) with its unidirectional pneumatic muscle actuation (PMA) can be used by most stroke patients that have difficulty moving in one direction because of a weak agonist or hyperactive antagonist. In this research, to broaden the...
Hand orientation is an important control parameter during reach-to-grasp task. In this paper, we presented a study for predicting hand orientation of non-human primate by decoding neural activities from primary motor cortex (M1). A non-human primate subject was guided to do reaching and grasping tasks meanwhile neural activities were acquired by chronically implanted microelectrode arrays. A Support...
In the process of edge detection based on mathematical morphology, different shapes and different scales structure elements have different roles in filtering noise and keeping edge details. The paper proposes an adaptive edge detection algorithm based on multi-shape and multi-scale structure elements, uses different directions and sizes structure elements to extract image edge, determines weight coefficients...
Nowadays, driving under alcohol is an important factor of the traffic accidents. To study the driver's brain activities under the alcohol, the event-related brain potentials (ERPs) were induced using the traffic environment pictures (human beings, traffic lights, and animals). Generally, the average response accuracy rate under alcohol is lower than the normal state, and the average latency time under...
With the rapid development of wireless communication, it is an inevitable trend that WLAN as a wireless access mode will integrate with 3GPP system and form the interworking network. How to realize the fast and authentic handover scheme of WLAN-3GPP interworking network becomes one of the focus issues in this field. In view of the weaknesses of existing handover schemes, this paper proposes an improved...
With the characteristic analysis of manufacturing process in various manufacture enterprises, Model Driven Architecture methodology is applied to construct dynamic reconfiguration manufacturing process model, which can solve the problems of portability, information integration, and interoperability effectively. A dynamic reconfigurable modeling process framework based on model driven Architecture...
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