Estimation of parameters of mathematical model of an electromachine excitation system is presented, carried out by selected optimisation algorithms. The estimation is based on real and simulated measurement of wavefor...
详细信息
In this paper, some modeling aspects with respect to bone ingrowth, fracture healing and intra-osseous wound healing are *** consider a finite element method for a model of bone ingrowth into a prosthesis. Such a mode...
详细信息
In this paper, we propose a Novel and Efficient Hash-chain based Certificate Management (NEHCM) scheme for vehicular communications. In NEHCM, to protect driver privacy, each vehicle is equipped with a large set of sh...
详细信息
ISBN:
(纸本)9780984589333
In this paper, we propose a Novel and Efficient Hash-chain based Certificate Management (NEHCM) scheme for vehicular communications. In NEHCM, to protect driver privacy, each vehicle is equipped with a large set of short-time certificates, and most importantly, serial numbers of these certificates satisfy hash-chain relationship. As a result, the certificate revocation becomes an easy task by simply releasing two hash chain seeds. However, without knowing the seeds, it is infeasible to reveal the linkability among these certificates. Thus, not only vehicles can obtain enough certificates for privacy preservation, but also the size of Certificate Revocation List (CRL) remains linear to the number of revoked vehicles, irrelative to the large number of revoked certificates in NEHCM. Furthermore, NEHCM adopts Roadside Units (RSUs) aided certificate service architecture, but the service overhead for an RSU is very low and irrelated to the number of the updated certificates. Extensive simulations demonstrate that the proposed scheme outperforms previously reported works in terms of the revocation cost.
In this paper, we present a hierarchical multi-label classification system for visual concepts detection and image annotation. Hierarchical multi-label classification (HMLC) is a variant of classification where an ins...
详细信息
Streamlining data acquisition in mobile health care in order to increase accuracy and efficiency can only benefit the patient. The company FERK-Systems has been providing health care information systems for various Ge...
详细信息
ISBN:
(纸本)9789898425171
Streamlining data acquisition in mobile health care in order to increase accuracy and efficiency can only benefit the patient. The company FERK-Systems has been providing health care information systems for various German medical services for many years. The design and development of a compatible front-end system for handwriting recognition, particularly for use in ambulances was clearly needed. While handwriting recognition has been a classical topic of computer science for many years, many problems still need to be solved. In this paper, we report on the study and resulting improvements achieved by the adaptation of an existing handwriting algorithm, based on experiences made during medical rescue missions. By improving accuracy and error correction the performance of an available handwriting recognition algorithm was increased. However, the end user studies showed that the virtual keyboard is still the overall preferred method compared to handwriting, especially among participants with a computer usage of more than 30 hours a week. This is possibly due to the wide availability of the QUERTY/QUERTZ keyboard.
In this paper, we present a multiple targets classification system for visual concepts detection and image annotation. Multiple targets classification (MTC) is a variant of classification where an instance may belong ...
详细信息
In this paper, we present a multiple targets classification system for visual concepts detection and image annotation. Multiple targets classification (MTC) is a variant of classification where an instance may belong to multiple classes at the same time. The system is composed of two parts: feature extraction and classification/annotation. The feature extraction part provides global and local descriptions of the images. These descriptions are then used to learn a classifier and to annotate an image with the corresponding concepts. To this end, we use predictive clustering trees (PCTs), which are capable to classify an instance to multiple classes at once, thus exploit the interactions that may occur among the different visual concepts (classes). Moreover, we constructed ensembles (random forests) of PCTs, to improve the predictive performance. We tested our system on the image database from the visual concept detection and annotation task part of ImageCLEF 2010. The extensive experiments conducted on the benchmark database show that our system has very high predictive performance and can be easily scaled to large number of images and visual concepts.
Multicarrier modulation is well suited for future wireless communication systems due to its ability to opportunistically transmit across unoccupied frequency bands. In addition to multicarrier modulation being able to...
详细信息
In this paper, time-delay effect on continuous approximation of sliding mode control (SMC) systems is studied in depth. The switching band that bound the zigzagging behaviors due to control switching around the switch...
详细信息
In this article, an overview of advanced convex optimization approaches to-multisensor beamforming is presented, and connections are drawn between different types of optimization-based beamformers that apply to a broa...
详细信息
This paper describes a method for discriminating of the human forearm motions based on the myoelectric signals using an adaptive fuzzy inference system. In conventional studies, the neural network is often used to est...
详细信息
暂无评论