采用新型负载恒流供电复合谐振网络的无线电能传输系统

针对传统LC谐振拓扑无线电能传输(WPT)系统在负载动态变化时,无法实现负载恒流供电及系统工作频率失谐问题,提出一种新型一次侧LCL、二次侧LCC复合谐振网络无线电能传输系统。首先,在基波条件下,依据漏感模型建立了磁路机构等效电路,得到了谐振频率和输出电流表达式;然后,通过系统参数优化设计,进一步推导出了复合谐振网络中实现负载恒流供电以及系统谐振工作频率稳定的条件。仿真结果表明,基于参数优化设计的新型复合谐振网络无线电能传输系统,能够实现负载无线恒流供电,并且系统工作频率稳定。实验结果验证了理论分析和仿真分析的正确性和有效性。     

改性MgO膨胀剂对水泥浆体流动度和膨胀性能的影响

为了改善MgO膨胀剂(MgO expansive agent,简称MEA)对混凝土流动性的不利影响和延缓氧化镁混凝土的膨胀时间,采用十八碳不饱和脂肪酸对MEA进行表面改性,测试了改性MEA的活性指数、孔结构和水化热等特性,并通过测定掺改性MEA的水泥浆体的流动度和膨胀性能来评价其改性效果。结果表明:MEA经过表面改性后,其活性指数增大,孔结构被细化,水化放热时间有所延迟;改性MEA可明显降低MEA水泥浆体的流动度经时损失,并有效地延缓MEA水泥浆体的膨胀时间,提高其后期膨胀量。研究成果可为表面改性MEA在大体积混凝土中的应用提供参考。     

Concept learning by fuzzy k-NN classification and relevance feedback for efficient image retrieval

A new method for combining visual and semantic features in image retrieval is presented. A fuzzy k-NN classifier assigns initial semantic labels to database images. These labels are gradually modified by relevance feedbacks from the users. Experimental results on a database of 1000 images from 10 semantic groups are reported.     

Short duration disturbance classifying based on S-transform maximum similarity

The S-transformed module time–frequency matrix (MTFM) has been proved that it is an effective analyzing method to extract short duration disturbance characteristics. A new classification method of power quality disturbances comparing the standard S-transformed time–frequency matrix of ideal disturbances with the characteristics of tested disturbances was proposed in this paper. Based on the maximum similarity principle without any other classifier, the S-transformed results were directly used in the method. This scheme is superior with simple principium and low calculation cost. The simulation results show that the proposed method is effective in classifying short duration disturbances and with better noise proof ability.     

Uncalibrated visual servoing using the fundamental matrix

This paper describes a new algorithm for visual control of an uncalibrated 3 DOF joint system, using two weakly calibrated fixed cameras. The algorithm estimates on-line the Image Jacobian, a matrix which linearly relates joint velocity and image feature velocity. In our experiments we prove that by using the fundamental matrix, robustness of the estimation in the presence of noise is significantly increased with respect to already existing algorithms in specialized literature.     

Raising the hit rate for wafer fabrication by a simple constructive heuristic

The rate of on-time delivery, namely hit rate, is a very significant performance measurement index for semiconductor wafer fabrication. This study proposes an efficient simple constructive heuristic (SCH), called slack multiplied uncompleted ratio (SMUR), for raising the hit rate in wafer fabs. Effectiveness of the proposed SMUR heuristic is verified by conducting simulation experiments based on a well known model from the relevant literature. The results indicate that the proposed SMUR heuristic is a state-of-the-art SCH for the current problem by comparing the obtained results to the best available SCHs in the relevant literature. Since the proposed SMUR heuristic is easy to implement and decreases the computational burden, this study successfully develops a practical approach which will hopefully encourage practitioners to apply it to real world problems.     

Multivariable stream data classification using motifs and their temporal relations

Multivariable stream data is becoming increasingly common as diverse types of sensor devices and networks are deployed. Building accurate classification models for such data has attracted a lot of attention from the research community. Most of the previous works, however, relied on features extracted from individual streams, and did not take into account the dependency relations among the features within and across the streams. In this work, we propose new classification models that exploit temporal relations among features. We showed that consideration of such dependencies does significantly improve the classification accuracy. Another benefit of employing temporal relations is the improved interpretability of the resulting classification models, as the set of temporal relations can be easily translated to a rule using a sequence of inter-dependent events characterizing the class. We evaluated the proposed scheme using different classification models including the Naive Bayesian, TFIDF, and vector distance models. We showed that the proposed model can be a useful addition to the set of existing stream classification algorithms.     

Combination of radio frequency identification (RFID) and field verification tests of interior decorating materials

In recent years, Radio Frequency Identification (RFID) has been considered an important technology affecting the development of industries around the world and is valued in many fields. In the construction industry, RFID benefits construction engineering and management by improving efficiency and control. This study describes the influence of combination manners of RFID and interior decorating materials on RFID system recognition by identifying appropriate combination manners and tag space layouts. The main study results include (1) building materials' influence on effects of RFID, (2) readable distance between tags and readers, and (3) electronic wave penetration of passive tags. Limitations of the RFID applications on material management were also identified.     

Wireless Body Area Network Combined with Satellite Communication for Remote Medical and Healthcare Applications

Wireless Body Area Network (WBAN) is expected to play an important role in supporting medical and healthcare services with increased convenience and comfort. One main advantage of WBAN is that it enables automatic biosignal collection in real time which is essential in medical treatment and healthcare vigilance. To harmonize with the strong demands from both medical and healthcare societies, and information and communications technology industries, IEEE 802 Standard Committee set up a task group of TG15.6 to develop an IEEE wireless standard on WBAN. In this paper, we first review the main activities of TG15.6 with the updated status. Then, we present a prototype WBAN system that is implemented by using ultra-wideband technology. Multi-hop mechanism is adopted to guarantee reliable connection. Finally, we describe an experimental system that uses the developed WBAN system by combining with satellite communication in supporting remote medical treatment and healthcare. In case of less of medical resources such as in emergency, in rural or isolated areas, such a system is important in sending the corresponding biosignal to a remote hospital in real time to help patient management. The relative delay of WBAN data delivery via satellite is measured which is dependent on the satellite link capacity.