The hydraulic system of mobile garbage compression equipment was studied according to its actual working conditions. A simulation model of the hydraulic system was established with AMESim software, and the speed and acceleration of the piston rod were simulated. Simulation results show that the designed hydraulic system can achieve the action requirements. The experiment also shows the similar ...

We investigate the differences between language models compiled from original target-language texts and those compiled from texts translated to the target language. Corroborating established observations of Translation Studies, we demonstrate that the latter are significantly better predictors of translated sentences than the former, and hence fit the reference set better. Furthermore, translat...

The least mean square (LMS) algorithm is the most popular adaptive ltering method due to its simplicity and predictable behavior. The convergence properties of the LMS algorithm can be improved by updating the lter coe cients in the transform domain. This paper presents a new transform domain LMS equalizer, called Discrete Cosine Transform Domain Parallel LMS (DCTPLMS) equalizer, which updates ...

Language models (LMs) are essential components of many applications such as speech recognition or machine translation. LMs factorize the probability of a string of words into a product of P(wi |hi ), where hi is the context (history) of word wi . Most LMs use previous words as the context. The paper presents two alternative approaches: post-ngram LMs (which use following words as context) and d...

The Normalized Least Mean Square (NLMS) algorithm is an important variant of the classical LMS algorithm for adaptive linear FIR ltering. It provides an automatic choice for the LMS step-size parameter which aaects the stability, convergence speed and steady-state performance of the algorithm. In this paper, we generalize the NLMS algorithm by deriving a class of Nonlinear Normalized LMS-type (...

FILTERED-X LMS AND MULTIPLE ERROR LMS ALGORITHMS Eric A. Wan Oregon Graduate Institute of Science & Technology Department of Electrical Engineering and Applied Physics P.O. Box 91000, Portland, OR 97291

BACKGROUND Chronic diseases are a leading contributor to work disability and job loss in Europe. Recent EU policies aim to improve job retention among chronically ill employees. Disability and occupational health researchers argue that this requires a coordinated and pro-active approach at the workplace by occupational health professionals, line managers (LMs) and human resource managers (HRM)....

This is a research study to explore trends, gaps, and issues in the literature of the usability of Learning Management Systems (LMS). The authors utilized the State-of-the-Art Matrix analysis, which is a research method that has been used extensively in the last decade. It is a systematic evaluation of existing research by using several statistical methods. Pareto analysis and Histograms are pa...

Leiomyosarcomas (LMSs) constitute approximately one quarter of all sarcomas and are usually defined by morphologic criteria and/or immunoreactivity for actin or desmin. Among high-grade lesions, the distinction from undifferentiated pleomorphic sarcoma (UPS) can be problematic, and previous studies have shown that a significant number of LMS cases may be hiding under the diagnosis of UPS. We re...