Digital filters for clustered-OFDM-based PLC systems: Design and implementation

2017 ◽  
Vol 70 ◽  
pp. 166-177 ◽  
Author(s):  
Vinícius Lagrota R. da Costa ◽  
Hugo Viveiros Schettino ◽  
Ândrei Camponogara ◽  
Fabrício P.V. de Campos ◽  
Moisés Vidal Ribeiro
Author(s):  
Muhammad Shahzaib Atif ◽  
Zarrar Haider ◽  
Malik Muhammad Zohaib ◽  
Mirza Ali Raza

Author(s):  
Kurt Plotts ◽  
Evangelos Diatzikis

Siemens has been on the cutting edge of the power generation business for over a century and has been providing diagnostics systems design and implementation since the early 1980s. Siemens Power Diagnostics® Services is designed to maximize plant performance, availability and profitability. Engineering knowledge, combined with the use of sophisticated tools, provides trending and analysis capabilities to address a broad range of operating needs specific to each customer. The goal of Power Diagnostics® is to enhance Siemens assistance to our customers through the detection of impending operational problems thereby helping to minimize unplanned outages and maximize power generation availability. A variety of new technologies are being harnessed to further this goal. A survey and discussion of these technologies will be the goal of this paper. Some of the projects discussed will be; Advances in the Power Plant Automated Diagnostics Systems, Blade Vibration Monitor (BVM), Fiber Optic Vibration Monitor (FOVM), and the Radio Frequency Monitor (RFM). The development and verification phases of research projects have often been conducted at customer sites. Many aspects of these technologies are new and will be of interest to gas turbine engineers as they are not widely applied yet. It is hoped that the reader will gain a new appreciation for the scope of modern diagnostic methods for power generation systems.


Author(s):  
Emre Cancioglu ◽  
Gokberk Cakiroglu ◽  
Alkim Gokcen ◽  
Yilmaz Sefa Altanay

This study provides design and implementation of four digital filters (low pass, high pass, band pass and band stop) for ECG (electrocardiogram) data on FPGA with MATLAB by a serial communication. The study is conducted with using ECG data which is obtained from PhysioBank Database platform. SysGen (System Generator for DSP) which is a toolbox for MATLAB is used for designing and implementing the digital filters. The aim of the study is to perform four different digital filters with various blocks on the SysGen Toolbox. The study then examines the results of four different digital filters.


Author(s):  
Qing Xie ◽  
Guo-Dong Liu ◽  
Zheng-Hua Shu ◽  
Bing-Xin Wang ◽  
Deng-Ji Zhao

Author(s):  
Craig E. Kuziemsky

The design and implementation of healthcare information systems (HIS) is problematic as many HIS projects do not achieve the desired outcomes. There exist a number of theories to enhance our ability to successfully develop HIS. Examples of such theories include ‘fit’ and the sociotechnical approach. However, there are few empirical studies that illustrate how to understand and operationalize such theories at the empirical level needed for HIS design. This chapter introduces a practice support framework that bridges the gap between the theoretical and empirical aspects of HIS design by identifying specific process and information practice supports that need to be considered to actively produce fit of an HIS within a healthcare setting. The chapter also provides an empirical case study of how practice support was used to develop a computer based tool in the domain area of palliative care severe pain management.


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