Haibin Lv

An energy-efficient cooperative multicast routing in multi-hop wireless networks for smart medical applications

Abstract With the advance of multimedia and pattern recognition based medical technologies, smart medical applications in smart hospital and smart medical for individual, such as disease diagnosis and health monitoring, play an important role in our life. However, the communication infrastructure of supporting these applications is a challenge. This paper studies the energy-efficient multicast routing problem in multi-hop wireless networks for these medical applications. Energy consumption has become the main problem of sustainable development of communication networks, particularly for these applications. How to carry out high energy-efficient communication is an important research topic for wired and wireless networks to implement green communications. This paper proposes an energy-efficient multicast routing approach to multi-hop wireless networks for smart medical applications. Different from previous methods, we aim at maximizing energy efficiency of networks. To this end, we make use of topology control and sleeping mechanism to obtain the optimal routing strategy with maximum network energy efficiency to construct the network multicast route. Simulation results show that the proposed approach is effective and feasible.

Maximum connectivity-based channel allocation algorithm in cognitive wireless networks for medical applications

Abstract With the advent of multimedia and pattern recognition based medical technology, intelligence medical applications in smart hospital, smart clinic, and smart medical for Individual, such as disease diagnosis, rehabilitation, health monitoring, and so on, have received extensive attentions. However, the communication infrastructure of supporting these applications is facing a larger challenge. This paper studies the channel allocation problem in cognitive wireless networks for these medical applications. Channel allocations are of importance for cognitive wireless networks. How to assign the appropriate channels to each cognitive user is fairly challenging. In this paper we study this problem by combining collaborations of network nodes. We take the maximum network connectivity as an optimal objective to build our collaborative channel allocation model. Our approach takes in account the channel idle status and the transmission radiuses of cognitive users. We allocate firstly the idle channel to bottleneck node and assign the suited channels to all other cognitive users as possible. In such a way, we present three channel allocation strategies with the maximum network connectivity via the omni-directional and direction antennas. We also propose the corresponding algorithm to perform the channel allocation for all cognitive users in cognitive wireless networks. Simulation results show that our approach is promising.

Design of intelligent recognition system based on gait recognition technology in smart transportation

With the rapid development of urban smart transportation, automatic fare collection system becomes more and more important. The related device based on recognition system in the smart transportation is a key equipment of automatic fare ticket system. It is part of the automatic fare collection system and passenger interface. Because of the complexity of the passenger traffic, how the intelligent recognition system can identify the passengers is a formidable challenge. In this paper, we design a sort of intelligent recognition system based on the simplified human gait recognition algorithm. Firstly, we analyze and study the existing identification system. After that we propose the improved and optimized algorithm and design layout of the sensors. And then, according to the motion including action, event and behavior, we propose a simplified method using infrared sensor based on XYT human gait recognition model. This system can effectively reduce the recognition system’s judgment and computation time, and improve the accuracy of judgment. Therefore, the proposed system has a certain application value.

3D character recognition using binocular camera for medical assist

Abstract Unmarked tracking of hands and fingers is a promising enabler for human–computer interaction. It can also be applied to medical monitoring and handicap aids. This will give much help to the deaf-mutes who have trouble in communicating with others or interact with the computers. In this paper, we present a 3D hand tracking and character recognition algorithm using binocular stereo camera, which can get the crucial depth information of the target. To precisely understand the characters that the user writes in the air, we define a valid gesture indicating that the user is inputting useful information and a null gesture indicating that corresponding movements are not necessary in the characters. Our approach can adapt to angle variation and make the writing freer. We show the benefits of our method by evaluating on several videos.

Multiobjective Evolutionary Algorithm Based on Nondominated Sorting and Bidirectional Local Search for Big Data

The improved differential evolutionary algorithm (EA) discussed in this paper is used to solve high-dimensional big data. Specifically, the algorithm improves population diversity by expanding the searching scope of the population, prevents premature deaths of the population through wider and more specific searches, and aims to solve the high-dimensional issue. To achieve this improvement goal, the paper suggests a multilayer hierarchical architecture on the basis of the above-mentioned heuristic mechanism. In each layer of the hierarchical architecture in the dynamic subpopulation, individuals who are more suitable for isolated evolution can better coexist with the original main population. We propose a new multiobjective optimization algorithm based on nondominated sorting and bidirectional local search (NSBLS). The algorithm takes the local beam search as the main body. NSBLS outputs the nondominated solution set through a continuous iterative search when the iteration termination condition is satisfied. It is worthy to note that the iteration of NSBLS is similar to the generation of the EA; therefore, this paper uses generation to represent the iterations. An algorithm introduces a new distribution maintaining strategy based on the sampling theory to combine with the fast nondominated sorting algorithm in order to select a new population into the next iteration. NSBLS will compare with three classical algorithms: NSGA-II, MOEA/D-DE, and MODEA through a series of bi-objective test problems. The proposed nondominated sorting and local search is able to find a better spread of solutions and better convergence to the true Pareto-optimal front compared to the other four algorithms. The outstanding performance of the proposed technology was proven in well-known benchmark problems.

Implementing two methods in GIS software for indoor routing: an empirical study

With increasing demands for indoor GIS, indoor routing and analysis attracts attention from both GIS and architecture worlds. This paper aimes to provide executable methods in GIS softwares eg ArcGIS for indoor path generation and to explore the possibilities for further analysis. In this paper, two methods are proposed and impletmented: Mesh and TIN. The Mesh method used a standard-sized grid graph as the referencing network for a floor and subsequently mapping the movement on a 2D plane to the movement along grid edges. On the other hand, TIN method utilized the TIN as the base, it generates a usable path network by appling two customized TIN. Considering the outputs, the result shows a value for both appling the methods in real use and research analysis of network in indoor environement. TIN provide a network suitable for indoor navigation but need less storage space compared to the Mesh method which provide more accurate network but required extra storage spaces.

Research on medical applications of contrast sensitivity function to red–green gratings in 3D space

Abstract Contrast sensitivity function (CSF), which is a quick and valid index to measure human visual performance, can be applied into medical monitoring and various retinal disease diagnosis. However, there is a lack of researches on CSF in three-dimensional (3D) space. In this paper, CSF of human color vision to red–green chromatic gratings in 3D space is fully investigated. Based on the typical chromatic contrast sensitivity test system, in which the screen is parallel to human face, four inclined planes in 3D space are taken into consideration. Contrast thresholds for chromatic gratings of inclined planes are measured within 20 individual subjects. Experimental results show that the contrast sensitivity of each inclined plane is a low-pass function for red–green gratings. In order to fully utilize chromatic contrast sensitivity in 3D space, a visual model of red–green contrast sensitivity in 3D space is well fitted. Simulation results demonstrate that the proposed model achieves high consistency with human chromatic visual characteristics.

Coverage-enhancing approach in multimedia directional sensor networks for smart transportation

Smart transportation has a significantly impact on city management and city planning, which has received extensive attentions from academic and industrial communities. Different from omni-directional sensing system, as a directional sensing system, the multimedia-directional sensor network holds the special coverage scheme, which is usually used for smart cities, smart transportation, and harsh environment surveillance, for instance, nuclear-pollution regions where are inhospitable for people. This paper advances Virtual Stream Artificial Fish-swarm based Coverage-Enhancing Algorithm (VSAFCEA) as a coverage-enhancing means in multimedia directional sensor networks. Firstly, a concept of virtual streams, based on traditional artificial fish-swarm algorithm, is proposed. Then, the traditional behaviors of fishes in artificial fish-swarm algorithm are modified and expanded with several new behaviors. Finally, the presented VSAFCEA is adopted for coverage-enhancing issue in the situation of directional sensor networks with rotational direction-adjustable model. With a sequence of steps of artificial fishes in virtual stream, the presented VSAFCEA can figure out the approximation to the highest area coverage rate. Based on comparison of these simulation results (results of presented VSAFCEA and that of other typical coverage-enhancing ways in directional sensor networks), the conclusion can be drawn that VSAFCEA could attain higher area coverage rate of directional sensor networks with fewer iterative computing times.

Investigating public health through urban form data mining with geographic information system and space syntax

In this paper, we investigate the importance of urban form towards public health using geographic information system GIS and space syntax methods. Hankou riverside area of China is selected as a case study. Urban fabric and street network are combined for a comprehensive image of urban form. First, five formal indicators are calculated based on GIS. Second, axial and visibility analysis of space syntax are joined for complement. The result indicates that the selected area has a good potential of richness and complexity of urban fabric. Suitable urban form could stimulate activities and social interactions, which are beneficial to peoples physical condition and mental strength. It also reveals that its street network presents a multi-hierarchical structure and spatial wholeness from local scale to city scale. The paper proposes to maintain the vitality of urban form to increase diversity of urban life.