Advanced Materials Research Vols. 756-759

Abstract: Spectral efficiency is one of primary concern in the design of any wireless data communications systems, where fading is the main problem. An approach that can be taken to overcome the problem of fading is to adapt the modulation scheme according to the instantaneous propagation channel conditions. In this paper, we present a simplified mathematical model to calculate the probability of SER for any given constellation of M-QAM. This model plays an important role in designing spectrally efficient adaptive modulation over nonlinear mobile channels. Instantaneous spectral efficiency and its histogram distribution are found for linear and nonlinear channel cases. The achievable spectral efficiency is obtained for linear and nonlinear channel and compared with non-adaptive system and Shannon capacity.

Abstract: Delay measurement-based IP Geolocation can gain better IP geolocation performance. However, there are still some defects needed to be improved, including inaccurate landmark information, incomplete traceroute information and inaccurate traceroute repairing information. To address the issues, the paper proposes a traceroute-based route gathering and repairing mechanism of client-independent IP geolocation system. The contributions include: 1) a landmark information filtering mechanism is presented to filter the noise data; 2) an Improved TraceRoute Gathering algorithm (ITRG) is proposed to increase the integrity of route information; 3) a Reverse Route Delay Repairing algorithm (RRDR) is presented to solve the problem of route inflation, guaranteeing that the delay value of current router is smaller than that of its next router. The experimental results show that using the improved IP geolocation mechanism proposed in the paper, the median error distance of IP geolocation is reduced to 5.42km from 9.60km.

Abstract: In order to overcome the traditional positioning system has high cost, poor precision, demand for warehouse, container terminal management, using RSSI ( received single strength ) technology on the container for initial localization, then introduction of genetic DV-hop localization algorithm on the error correction. The simulation results show that improvement DV-hop algorithm improves the positioning accuracy of the node, reducing the positioning error, can make real-time monitoring for position, inventory and shift information of the goods, conducive to improving the efficiency of container management, more truly reflect the actual distribution of the containers.

Abstract: This article exploits a fast algorithm to watermark implant and extract, which first transform N×N(N=2ⁿ) two dimension DCT into one dimension DCT with N numbers of points. And then the adopted algorithm implants watermark using matrix decomposition and masterly adjusting interrelation of DCT coefficients, thus to make the visual distortion to be minima after a watermark being implanted in the image, in addition, this method is a blind approach. The results indicate that the algorithm enjoy high image reducing property and robustness to several common attacks when ensuring invisibility of watermark. Finally, it is also superior to R-C, index-mapping like matrix cut algorithms and can also improve calculating speed, which make it possible to apply for image protection.

Abstract: Presented an improved particle swarm optimization algorithm, introduced a crossover operation for the particle location, interfered the particles speed, made inert particles escape the local optimum points, enhanced PSO algorithm's ability to break away from local extreme point. Utilized improved algorithms to train the RBF neural network models, predict short-time traffic flow of a region intelligent traffic control. Simulation and test results showed that, the improved algorithm can effetely forecast short-time traffic flow of the regional intelligent transportation control, forecasting effects is better can be effectively applied to actual traffic control.

Abstract: The design of discontinuity facilities is a critical factor in the success of many simulation efforts. This paper discusses the problems caused by detecting a discontinuity in terms of a change of sign in the value of a discontinuity function and describes an alternative which uses a change of the state marker value to suit the simulation of discontinuous systems in engineering applications. Subroutines which implement the method have been successfully built into integration package for stiff system with discontinuities.

Abstract: In Disruption Tolerant Networks (DTN), information is exchanged between mobile nodes with the same transmit power. It is an energy-consuming process and highlights the need for energy-efficient power control mechanisms. If the transmit power of nodes is too low, they might miss many of the opportunities of transmission. On the other hand, high transmit power is energy inefficient. In this paper, we propose ERBC (Energy-efficient Routing algorithm Based on Cross-layer design), an energy-efficient routing algorithm based on cross-layer design. Instead of using fixed transmit power, ERBC dynamically chooses the transmit power using both the cross-lay design and the RSSI technology. Meanwhile, ERBC broadcast data packets partially in order to enhance the delivery ratio. Through simulation, we demonstrate that ERBC can reduce 37% for per-bit energy consumption than that in basic epidemic routing protocol.

Abstract: Protein subcellular localization is an important research field of bioinformatics. The subcellular localization of proteins classification problem is transformed into several two classification problems with error-correcting output codes. In this paper, we use the algorithm of the increment of diversity combined with artificial neural network to predict protein in SNL6 which has six subcelluar localizations. The prediction ability was evaluated by 5-jackknife cross-validation. Its predicted result is 81.3%. By com-paring its results with other methods, it indicates the new approach is feasible and effective.

Abstract: Intelligent building is the product of the computer and information technology network to penetrate the construction industry, which fully reflects the architectural art and information technologies. This paper focuses on information platform in the intelligent building construction and application process for different sectors, different types of databases data integration, processing, capture data changes, transmission and synchronization. Through studied the method of data transformation, change data capture methods, making the integration of distributed heterogeneous databases in the process of data synchronization issues have been satisfactorily resolved.

Abstract: The tongue diagnosis is an important diagnostic method in Traditional Chinese Medicine (TCM). Human tongue is one of the im­portant organs which contain the information of health status. Image segmentation has always been a fundamental problem and complex task in the field of image processing and computer vision. Its goal is to change the representation of an image into something that is more meaningful and easier to analyze. In other words, it is used to partition a given image into several parts in each of which the intensity is homogeneous. In order to achieve an automatic tongue diagnostic system, an effective segmentation me­thod for detecting the edge of tongue is very important. We mainly compare the Chan Vese Method and Canny algorithm for edge segmentation. The segmentation using Canny algorithm may produce many false edges after cutting; thus, it is not suitable for use. But, for our two steps Chan Vese method can automatically select the best edge information. Therefore, it may be useful in clinical automated tongue diagnosis system. Experiments show the results of these techniques.