Xiaoqiang Zhang

Adaptive Extended Pipelined Second-Order Volterra Filter for Nonlinear Active Noise Controller

This correspondence presents an extended pipelined second-order Volterra (EPSOV) filter for active control of nonlinear noise processes. The corresponding nonlinear filtered-x algorithms using the filter bank implementation are also suggested. Compared to the standard SOV filter using the filtered-x least mean square (SOVFXLMS), those modules of the EPSOV filter can be performed simultaneously in a pipelined parallelism fashion, and this would lead to a significant improvement in its total computational efficiency. Results obtained from computer simulations for nonlinear noise processes demonstrate that the proposed method outperforms the SOV.

An adaptive decision feedback equalizer based on the combination of the FIR and FLNN

To compensate the linear and nonlinear distortions and to track the characteristic of the time-varying channel in digital communication systems, a novel adaptive decision feedback equalizer (DFE) with the combination of finite impulse response (FIR) filter and functional link neural network (CFFLNNDFE) is introduced in this paper. This convex nonlinear combination results in improving the convergence speed while retaining the lower steady-state error at the cost of a small increasing computational burden. To further improve the performance of the nonlinear equalizer, we derive here a novel simplified modified normalized least mean square (SMNLMS) algorithm. Moreover, the convergence properties of the proposed algorithm are analyzed. Finally, computer simulation results which support analysis are provided to evaluate the performance of the proposed equalizer over the functional link neural network (FLNN), radial basis function (RBF) neural network and linear equalizer with decision feedback (LMSDFE) for time-invariant and time-variant nonlinear channel models in digital communication systems.

Applications of Fast-Moving RFID Tags in High-Speed Railway Systems:

RFID technology has been widely utilized for the tracking and identification of numerous stationary and moving objects. One of the most challenging RFID applications has to do with the improvement in reliability, scheduling and efficiency of large-scale transportation infrastructure. As an example, Radio Frequency Identification (RFID) technology in Ultra High Friency (UHF) frequencies (840–845MHz and 920–925MHz) is one of several technologies currently being utilized in China to monitor and regulate the railway system. Despite the very successful performance of ATIS RFID-based system for conventional trains with speeds up to 150kph, numerous challenges have to be resolved for the extension of this technology to modern high-speed and ultra high-speed railway systems with speeds up to 500kph. This paper identifies these issues, such as collision and insufficient reading time, and proposes various ways to alleviate their effect in UHF-RFID enabled railway systems

Performance analysis of "fast-moving" RFID tags in state-of-the-art high-speed railway systems

RFID technology has been widely utilized for the tracking and identification of numerous stationary and moving objects. One of the most challenging RFID applications has to do with the improvement in reliability, scheduling and efficiency of large-scale transportation infrastructure. As an example, Radio Frequency Identification (RFID) technology in UHF frequencies (840–845MHz and 920–925MHz) is one of several technologies currently being utilized in China to monitor and regulate the railway system. Despite the very successful performance of ATIS RFID-based system for conventional trains with speeds up to 150kph, numerous challenges have to be resolved for the extension of this technology to modern high-speed and ultra high-speed railway systems with speeds up to 500kph. This paper identifies these issues, such as collision and insufficient reading time, and proposes various ways to alleviate their effect in UHF-RFID enabled railway systems

The Design of Electric Materials Management System Based on QR-Code

The two-dimensional barcode has the advantages of high density, large volume, high reliability, strong error correction ability, and low cost. In recent years, two dimensional barcode identification technologies and RFID (radio frequency identification) technology have had a very wide range of applications, such as in the fields of defense, customs, taxation, public safety, transportation, postal services, and medical care. In this paper, a kind of electric materials management system based on the two dimensional barcode technologies is proposed. It aims to solve the bottleneck problem of material information input and to accelerate inventory turnover. The results show that the system greatly improves the efficiency and accuracy of materials management.

Applications of RFID in Logistics and Supply Chains: An Overview

Radio-frequency identification (RFID) is the use of a wireless non-contact system that utilizes radio-frequency electromagnetic fields to transfer data from a tag attached to an object for the purposes of automatic identification and tracking. This technology is especially suited for goods circulation and tracking. For a supply chain, the RFID technology can be used in several aspects, including warehouse management, inventory management, freight transportation, manufacturing, and retailing. With RFID technology, the supply chain can achieve high performance and tracking.

RFID Tags Estimation through the Statistics Method for ALOHA

One of the key problems that affect the data integrity of passive RFID systems is the collision among the tags. A popular anti-collision algorithm which dominates the standards in HF and UHF passive RFID systems is framed slotted Aloha (FSA) and some variations of FSA. Throughput of the RFID system which determines the performance/efficiency of the system is reduced rapidly when the number of tags inside the interrogation zone is increased. Using larger frame sizes is not always the solution. The best performance can be achieved when the slot number is equal to the tag number for FSA algorithm. In order to estimate the number of tags, a lot of work has been done. The existing algorithm about the tags estimation has been discussed in this paper. And an idle slot number based estimation algorithm is proposed. The idle slot number based estimation algorithm uses the idle slots in a frame. For performance analysis, the idle slot number based estimation algorithm was evaluated with the parameters of 128 slots to estimate the number of tags. The proposed method considers two situation, one is applied only 128 slots in a frame and all of them are used to estimate the number of tags; the other is applied the first 128 slots in a frame with 1024 slots frame. The results showed that the proposed algorithm can improve the efficiency of the number of RFID tag estimation and provide a reliable solution for cases with a high density of tags in the area.

An Overview of Railway Revenue Management in China

Revenue management is widely used for maximizing a company’s revenue, especially for those instant products. This article reviews the railway revenue management both inside and outside China. The paper focuses on railway passenger and freight revenue management and puts forward some shortcomings of the current researches. Later, it makes the long-range outlook for railway revenue management. The Revenue Management (RM) focuses on the application of disciplined analytics that predicts consumer behavior at the micro-market level and optimizes product availability and its price to maximize revenue. The primary aim of the RM is to sell the right product to the right customer at the right time for the right price with the right pack. Currently, the railway passenger transport system uses flat fare and reflects the operating condition with the usage rate of the seats. So, the improved interests do help to increase the seat utilization rate. After implementing the revenue management strategy, higher seat rate doesn’t mean higher income, especially in the case of multi-fares system. When most lower-price tickets are sold, higher seat utilization rate doesn’t mean that higher income. On the contrary, higher-price tickets with lower seat utilization rate still can’t get higher income. Therefore, it is necessary to find a balance point to maximize the revenue. The income index calculation is not just the multivariate function about ticket price discount, pre-sale period and the tickets number.

Research on Low Carbon Logistics System Based on Internet of Things

Low carbon logistics is the trend of the future logistics development. By the analysis of the Internet of Things technology, this article discusses its application in low carbon from the aspects of the enterprise, between enterprises, and after-sales recovery. It also establishes a low carbon logistics system based on the Internet of Things, to realize the enterprise internal between enterprise, and eventually the whole supply chain of low carbon logistics.

Customer-Driven Based Environmental Logistics

With the big issue of global warming attracting the focus of whole world, environmental logistics need to be further investigated. There is still a wide gap in environmental logistics between developing and developed countries. Couple of methods which suppliers need to apply for environmental logistics have been proposed in this paper. Through this way, customers put forward several methods to help suppliers carrying out environmental logistics actions. It can reduce the logistics cost of suppliers and customers enhancing logistics efficiency, and improve the global logistics. Customer-driven is a strategy that can profit society, suppliers and customers, and can be called ―triple win‖ strategy.