Architecture design of a fast feed-forward blind equalizer with joint generalized multilevel modulus and low-cost soft decision directed scheme for cable modem receiver

Author(s):  
Hao-Jun Hu ◽  
Wan-Ning Hsu ◽  
Chih-Peng Fan
2018 ◽  
Author(s):  
Rizki Eka Putri ◽  
Denny Darlis

This article was under review for ICELTICS 2018 -- In the medical world there is still service dissatisfaction caused by lack of blood type testing facility. If the number of tested blood arise, a lot of problems will occur so that electronic devices are needed to determine the blood type accurately and in short time. In this research we implemented an Artificial Neural Network on Xilinx Spartan 3S1000 Field Programable Gate Array using XSA-3S Board to identify the blood type. This research uses blood sample image as system input. VHSIC Hardware Discription Language is the language to describe the algorithm. The algorithm used is feed-forward propagation of backpropagation neural network. There are 3 layers used in design, they are input, hidden1, and output. At hidden1layer has two neurons. In this study the accuracy of detection obtained are 92%, 92%, 92%, 90% and 86% for 32x32, 48x48, 64x64, 80x80, and 96x96 pixel blood image resolution, respectively.


2009 ◽  
Vol 12 (4) ◽  
pp. 30-38
Author(s):  
Tan Duc Tran ◽  
Thuy Phu Nguyen

In this paper, the design of the low cost INS/GPS integration system is addressed with good accuracy. The Strapdown INS (SINS) and Cascade Kalman filter have been tested to ensure that the system can be operated flexibly between feed forward and feedback modes due to various GPS conditions. The vehicle motion constraints are also utilized to reduce the INS error degradation during the periods of GPS unavailability. The experiment results shown that the INS/GPS system can be applied to land applications in challenging GPS environments.


2020 ◽  
Vol 1005 ◽  
pp. 57-64
Author(s):  
Mohammed Benyoucef Yassine

This work focuses on the new alternatives and technological solutions of clay architecture design for contemporary individual houses in the Sahara Desert. Clay considered as a natural and eco-friendly building material, moreover is now back in the new project because of his ecological and aesthetic benefits that attract the attention of increasing numbers of architects. Current researches efforts focused on increasing its resistance in order to make it competitive and contemporary material. The main aim of this study is to share and disseminate technological and technical solutions besides the new possible alternatives to the architectural design of contemporary individual houses by using clay material. The research methodology went through different phases that range from analyzing the historical experience of clay construction in the Sahara Desert and investigation of the new ecological and technological alternatives. The clay is a lower-impact building material in terms of energy performance, recycle, resources consumption, low-cost, sustainability, and all these factors make the clay material as favourable and excellent natural and contemporary material. The use of clay material with new techniques and machines technologies is an environmental and economic alternative for contemporary individual houses in the Sahara Desert.


Author(s):  
Abhinav Chadda ◽  
Wenjuan Zhu ◽  
Ming C. Leu ◽  
Xiaoqing F. Liu

This paper describes the design, implementation and evaluation of a low-cost motion capture system with support of interfaces for practically any types of cameras. We present the system’s software architecture design, development of software to implement and integrate several existing algorithms, and effective approaches to address practical issues such as object calibration and synchronizing the real-world and virtual-world coordinate frames. The motion capture system is developed to work with active markers and all the processing is done by the software on a mid-level workstation. With the Firefly MV cameras used, the developed system is capable of working at 60 frames per second, having the ability to simultaneously track the positions and orientations of five objects, with latency averaging about 15 ms, and with an average measurement error of about 0.65 mm between the distance of each pair of four LEDs mounted on a target that is placed 1.5–3.5 m from the cameras.


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