反相萃取层析与光度法联用分离/测定中草药中微量铁的研究

研究了硅藻土-TBP反相萃取层析-分光光度法分离和测定微量铁的新方法.以0.30mol/L盐酸做流动相,以负载有磷酸三丁酯(TBP)的硅烷化白色担体为固定相,反相萃取层析法分离微量Fe(Ⅲ)与Co(Ⅲ)、Ge(Ⅳ)、Al(Ⅲ)、Cr(Ⅲ)、Mn(Ⅱ)、Ni(Ⅱ)等.在4.0mol/L盐酸介质中,铁与多种金属离子都被萃取在TBP柱上.用2mol/L盐酸洗脱部分离子,用0.30mol/L盐酸可定量地洗脱铁,然后用0.010mol/L盐酸可将柱上的其它离子洗脱.洗脱液中的铁用分光光度法测定.此方法可将铁与绝大部分干扰离子分离,并用于中草药中微量铁的分离和测定.     

Burst-error-correcting algorithm for Reed-Solomon codes

A new decoding algorithm for burst-error-correction is proposed. The proposed algorithm can effectively correct burst errors of length approaching n-k symbols for (n, k) Reed-Solomon (RS) codes. Compared with existing algorithms, the algorithm enables much faster decoding with far less computational complexity     

Secure resource allocation in hybrid energy-harvesting relay and full-duplex receiver

Taking into account the wireless physical layer security in energy-constrained relaying systems,a secure resource allocation scheme was proposed under simultaneous wireless information and power transfer (SWIPT) protocol.The utility optimization problem was considered aiming to maximize the secrecy rate by jointly optimizing the power splitting (PS) ratio and the transmit powers under the constraint of the transmit powers of the nodes and the harvested energy of the relay.The objective problem,which is non-convex,was decoupled into two subproblems.One was to optimize the PS ratio,another was to optimize the transmit powers.The optimal solution of the subproblems can be obtained in the closed-form.Then,the suboptimal solution is obtained with the proposed convergent iterative algorithm.Simulation results show the effects of artificial noise signal,residual self-interference signal,transmit power of nodes,amplification factor of relay and other factors on the security performance.Compared with the traditional gradient descent algorithm,the proposed algorithm can reduce more than 80% of the computational load,while the algorithm has the slightly better performance.     

Design of irregular LDPC code with unequal error protection property and its performance analysis on image transmission

Based on the property that high degree variable nod.es within an irregular LowDensity Parity-Check （LDPC） code have more powerful error-correcting capability than that of low degree variable nodes, a group of irregular LDPC codes with Unequal Error Protection （UEP） property is designed in this letter. Simulation results show that the transmission quality of the image may be effectively improved with this class of irregular LDPC code.     

On the Minimization of Communication Energy Consumption of Correlated Sensor Nodes

Minimizing the sensor-node energy consumption is an important consideration when designing wireless sensor networks. In this paper, we focus on the energy consumption issues related to communication of data from correlated sensor nodes. An optimization algorithm is proposed for minimizing the overall energy consumption of the hardware and the physical link. We perform a detailed trade-off analysis of the circuit energy consumption, the transmission energy consumption, the transmission time, the modulation symbol size, and the channel coding rate, over a wide range of transmission distances and correlation values. Thus, a new optimized communication schedule with much lower energy consumption than our benchmark scheme of optimized uncorrelated uncoded transmission is obtained. Compared to this scheme, the total energy consumption may be reduced by more than 83.5% for a correlation value of 0.6 and a transmission distance of 100 m when using the results from the proposed optimization. This is significant with respect to increasing the lifetime of a wireless sensor network.     

An Energy-Efficient Routing Protocol for Event-Driven Dense Wireless Sensor Networks

The routing energy efficiency of a wireless sensor network is a crucial issue for the network lifetime. In this article, we propose MICRO (MInimum Cost Routing with Optimized data fusion), an energy-efficient routing protocol for event-driven dense wireless sensor networks. The proposed routing protocol is an improvement over the formerly proposed LEACH and PEGASIS protocol, which is designed to be implemented mainly with node computations rather than mainly with node communications. Moreover, in the routing computation the proposed scheme exploits a new cost function for energy balancing among sensor nodes, and uses an iterative scheme with optimized data fusions to compute the minimum-cost route for each event-detecting sensor node. Compared to the PEGASIS routing protocol, MICRO substantially improves the energy-efficiency of each route, by optimizing the trade-off between minimization of the total energy consumption of each route and the balancing of the energy state of each sensor node. It is demonstrated that the proposed protocol is able to outperform the LEACH and the PEGASIS protocols with respect to network lifetime by 100–300% and 10–100%, respectively.