Applied Mechanics and Materials Vols. 548-549

Abstract: This paper conducts research on the algorithm to improve the location of Wireless Sensor Network (WSN) in Intelligent Transportation System (ITS). The localization algorithm introduced an improved RSSI vehicle localization algorithm based on multi-path effect and Gaussian white noise. The localization results under different values of Gaussian white noise and different density of beacon nodes are analyzes, and Kalman filtering algorithm is introduced to reduce the influence of signal noise. Finally, a simulation model of ITS is developed to test the algorithm based on mixed noise and Kalman filtering algorithm, which is used to simulate the localization of real vehicles. The simulation shows the algorithm has effect to improve location accuracy and to application

Abstract: In many instances, as special applications of wireless sensor networks, wireless sensor networks need to know the location of nodes. A wireless sensor network localization algorithm based on Particle Swarm Optimization is proposed in this thesis to solve the problem of inaccurate positioning and large energy consumption for wireless sensor network node positioning. The algorithm combines the particle swarm optimization algorithm (PSO) and node localization algorithm to improve the positioning accuracy.

Abstract: Multicarrier modulation technique also known as Orthogonal Frequency Division Multiplexing (OFDM) is considered to be the most rapidly growing technique for 4th Generation wireless communication system. Due to its high speed data rate and its ability of multipath fading channel robustness. OFDM becomes an attractive technique and it is widely adopted in many wireless communications system. OFDM signal carries its major drawback of high Peak to Average Power Ratio (PAPR) problem. Out of band radiation and in band distortion produced due to its high PAPR. Mobile phone communication suffer severe drawback during its amplification. When OFDM employed a non linear Power Amplifier (PA), it produces the fluctuation in amplitude of OFDM signal. This paper discusses the method to overcome PAPR in terms of its performance by using improved clipping technique for PAPR reduction. This method is easy to implement and reduces the amount of PAPR by clipping the peak of the maximum power signal. We present an improved method for PARR reduction for reducing peak magnitude of OFDM signal. This scheme simultaneously minimizes the peak magnitude of PAPR in OFDM signal.

Abstract: The wireless sensor networks are mainly employed on purpose of collection or supervision hence most of the data will flow into the base station finally. And the quantity asymmetry resulted from more source nodes often much more than the target nodes leads to unbalance of network traffic. As a result, nodes which are near the base station cost more energy, and this is the so-called "hot spot" effect followed by the energy hole problem. Aiming at these problems, this paper introduces a non-uniform distribution strategy on the basis of the MEBC algorithm (Mult-energy Balance Clustering Hierarchy), so that the inner layer has more number of nodes. Through theoretical and experimental simulation, the non-uniform node distribution strategy can effectively deal with the hot spot effect, realize the suboptimal balance of energy consumption in wireless sensor networks, and is effective to alleviate the energy hole problem. In addition, the simulation shows that with the expansion of network scale, it does not shorten network life cycle because of the non-uniform distribution strategy. Therefore the non-uniform distribution strategy is a good solution to the problem of large-scale network deployment.

Abstract: The IOT(Internet of Things) is thriving to connect everything on our planet. With the maturity of Radio Frequency Identification technology, companies are adopting RFID technology into their legacy systems. However, systems of different companies are facing obstacles in establishing mutual trust to be partners of the IOT. This paper proposes an item-level access control framework for inter-system security in the IOT, promising to help solve the issue and drive the development of the IOT a step forward.

Abstract: Lesson planning, the starting point and basis for teaching, is one of the most important steps to determine the quality of teaching. At present, lesson planning and teaching are separated; also professional teachers are rare in many areas. By collaborative lesson planning based on cloud platform, teaching and research is not limited in the office or their own school. Teachers can carry out lesson planning or teaching counseling at home. Currently collaborative lesson planning based on cloud platform is very popular. It not only extends the teachers' working space and time, but also expands their horizons and improves the teaching quality.

Abstract: Internet of Things (IoT) is playing a more and more important role in modern agriculture development. However, problems of efficient storing and reasoning those massive heterogeneous sensor data collected from variety kinds of sensing equipment need to be resolved to implement Internet of Things in agriculture. This paper explores the architecture of Internet of Things in agriculture with heterogeneous sensor data, and proposes a design of implementation to Internet of Things in agriculture based on cloud computing. The design is based on two-tier storage structure of HBase, which is a distributed database with high scalability. It access database using MapReduce model, a distributed programming framework. Hence, this design provides scalable storage, efficient data access, and eases other processing of sensor data.

Abstract: Because an accurate price analysis is very important for business, there are different kinds of price analysis systems in China. In this paper, we focus on the price analysis of agricultural products. According the examination of those price analysis systems; we find that most of them cannot provide enough information for business decisions. In this paper, we first choose to use online transaction data because they often provide rich information. We then use an agricultural ontology and a GIS (Geographic Information System) technology in our price analysis. With the GIS technology, we can bridge the price of an agricultural product and its producing areas. With the agricultural ontology, we can make a fine-grain price analysis. Our analysis shows that more exploration is needed for price analysis.

Abstract: Blended learning is a continuously developing and extending concept, which has been the hot topic of educational technology. With the development of information technology, the network environment has become one of the important environments for learners to study. Autonomous learning and collaborative learning, which are based on network environment, will become indispensable ways of future learning. This paper analyzes the basic theory of blended learning, discusses the meaning and relationship of autonomous learning and collaborative learning, and analyzes the advantages of autonomous and collaborative learning brought by network. Then with teaching practice, this paper builds a web-based autonomous and collaborative teaching model under blended learning. Finally, the paper gives a detailed description in designing teaching process, module structure, functions and system architecture of web-based autonomous and collaborative teaching model. The analysis shows that applying this model to course teaching has some influence and practical significance to enrich and improve the teaching pattern.

Abstract: Synchronization of coupled oscillators on networks has been investigated in a wide range of topologies. One of the major challenges is how to control the synchronization process through network structures. In this paper, we study the control of network synchronization by considering the mixing regions of different modules in networks. It is shown that small or weak mixing parts on module networks may hinder the synchronization of the whole network while large and strong mixing parts may accelerate synchronization. Our findings indicate that mesoscopic structures should be of importance to controlling network synchronization.