scholarly journals Recent Design Development in Molecular Imaging for Breast Cancer Detection Using Nanometer CMOS Based Sensors

2012 ◽  
Vol 2012 ◽  
pp. 1-6
Author(s):  
Dung C. Nguyen ◽  
Dongsheng (Brian) Ma ◽  
Janet M. W. Roveda
Keyword(s):  
Cancer Detection ◽  
Architectural Design ◽  
High Gain ◽  
Low Noise ◽  
Detection Accuracy ◽  
Design Development ◽  
Nanometer Cmos ◽  
Cmos Imager ◽  
Cmos Sensors ◽  
New Type

As one of the key clinical imaging methods, the computed X-ray tomography can be further improved using new nanometer CMOS sensors. This will enhance the current technique's ability in terms of cancer detection size, position, and detection accuracy on the anatomical structures. The current paper reviewed designs of SOI-based CMOS sensors and their architectural design in mammography systems. Based on the existing experimental results, using the SOI technology can provide a low-noise (SNR around 87.8 db) and high-gain (30 v/v) CMOS imager. It is also expected that, together with the fast data acquisition designs, the new type of imagers may play important roles in the near-future high-dimensional images in additional to today's 2D imagers.

A Low-Noise, High-Gain Quasi-Millimeter-Wave Receiver MMIC with a Very High Degree of Integration Using 3D-MMIC Technology

2011 ◽  
Vol E94-C (10) ◽  
pp. 1548-1556 ◽  
Author(s):  
Takana KAHO ◽  
Yo YAMAGUCHI ◽  
Kazuhiro UEHARA ◽  
Kiyomichi ARAKI
Keyword(s):  
Millimeter Wave ◽  
High Gain ◽  
Low Noise ◽  
High Degree ◽  
Very High ◽  
Millimeter Wave Receiver

High gain and low noise wideband folded-switching mixer employing transformer and complimentary CS/CG hybrid topology

2021 ◽  
pp. 105112
Author(s):  
Qiuzhen Wan ◽  
Yixuan Xie ◽  
Wenkui Ji ◽  
Zidie Yan
Keyword(s):  
High Gain ◽  
Low Noise ◽  
Hybrid Topology

A low noise, high gain, highly linear mixer for 77 GHz automotive radar applications in SiGe:C bipolar technology

2009 ◽  
Author(s):  
S.J. Yang ◽  
H.P. Forstner ◽  
G. Haider ◽  
H. Kainmueller ◽  
K. Aufinger ◽  
...  
Keyword(s):  
High Gain ◽  
Low Noise ◽  
Automotive Radar ◽  
Bipolar Technology ◽  
Radar Applications ◽  
Linear Mixer ◽  
77 Ghz

scholarly journals A 5.7GHz low noise figure ultra high gain CMOS LNA with inter stage technique

2010 ◽  
Vol 7 (23) ◽  
pp. 1686-1693 ◽  
Author(s):  
Ehsan Kargaran ◽  
Hojat Khosrowjerdi ◽  
Karim Ghaffarzadegan ◽  
Hooman Nabovati
Keyword(s):  
Noise Figure ◽  
High Gain ◽  
Low Noise ◽  
Cmos Lna

scholarly journals A 60 GHz fully differential LNA in 90 nm CMOS technology

2013 ◽  
Vol 6 (2) ◽  
pp. 109-113 ◽  
Author(s):  
Andrea Malignaggi ◽  
Amin Hamidian ◽  
Georg Boeck
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Transmission Lines ◽  
Noise Figure ◽  
Design Procedure ◽  
Cmos Technology ◽  
High Gain ◽  
Low Noise ◽  
60 Ghz ◽  
Fully Differential

The present paper presents a fully differential 60 GHz four stages low-noise amplifier for wireless applications. The amplifier has been optimized for low-noise, high-gain, and low-power consumption, and implemented in a 90 nm low-power CMOS technology. Matching and common-mode rejection networks have been realized using shielded coplanar transmission lines. The amplifier achieves a peak small-signal gain of 21.3 dB and an average noise figure of 5.4 dB along with power consumption of 30 mW and occupying only 0.38 mm2pads included. The detailed design procedure and the achieved measurement results are presented in this work.

A 0.1-10GHz Ultra-Wideband High-Gain Low-Noise Amplifier for UWB receiver

2021 ◽  
Author(s):  
Zerun Jin ◽  
Zhi-Jian Chen ◽  
Riyan Wang ◽  
Bin Li ◽  
Xiao-Ling Lin
Keyword(s):  
High Gain ◽  
Low Noise ◽  
Low Noise Amplifier ◽  
Ultra Wideband ◽  
Noise Amplifier ◽  
Uwb Receiver

scholarly journals Deep Convolution Neural Networks Learned Image Classification for Early Cancer Detection Using Lightweight

2021 ◽  
Author(s):  
Seshadri Ramana K ◽  
Bala Chowdappa K ◽  
Obulesu ooruchintala ◽  
Deena Babu Mandru ◽  
kallam suresh
Keyword(s):  
Cancer Detection ◽  
Early Cancer ◽  
The Body ◽  
Early Cancer Detection ◽  
Detection Accuracy ◽  
Convolutional Network ◽  
Max Pooling ◽  
Input Layer ◽  
Deep Convolutional Network ◽  
Fully Connected

Abstract Cancer is uncontrolled cell growth in any part of the body. Early cancer detection aims to identify patients who exhibit symptoms early on in order to maximise their chances of a successful treatment. Cancer disease mortality is decreased through early detection and treatment. Numerous researchers proposed a variety of image processing and machine learning approaches for cancer detection. However, existing systems did not improve detection accuracy or efficiency. A Deep Convolutional Neural Learning Classifier Model based on the Least Mean Square Filterative Ricker Wavelet Transform (L-DCNLC) is proposed to address the aforementioned issues. The L-DCNLC Model's primary objective is to detect cancer earlier by utilising a fully connected max pooling deep convolutional network with increased accuracy and reduced time consumption. The fully connected max pooling deep convolutional network is composed of one input layer, three hidden layers, and one output layer. Initially, the input layer of the L-DCNLC Model considers the number of patient images in the database as input.

scholarly journals An Overview of High-Rise Buildings in Jakarta since 1967 to 2020

2021 ◽  
Vol 933 (1) ◽  
pp. 012001
Author(s):  
M F Effendi ◽  
I F Ridzqo ◽  
S W Dharmatanna
Keyword(s):  
Architectural Design ◽  
Tall Buildings ◽  
Building Design ◽  
Building Construction ◽  
Urban Habitat ◽  
Design Development ◽  
High Rise ◽  
High Rise Building ◽  
Environmentally Safe ◽  
Construction Knowledge

Abstract High-rise buildings in big cities are crucial for business, economic, educational, residential, and entertainment activities in recent times. The technology discoveries in various fields that support high-rise building construction such as structure, mechanical, electrical, and materials have opened up opportunities for comfortable and environmentally safe architectural work. The first milestone of high-rise building construction knowledge in Indonesia was the completion of the thirteen-floors Sarinah retail building in 1967. Indonesia, especially in Jakarta, then experienced rapid growth of high-rise buildings construction. However, there is limited research on the development of high-rise building designs in Indonesia, especially from an architectural design perspective. It leads to the lack of literature on high-rise building design in Indonesia. By utilizing a publicly accessible database from the Council of Tall Buildings and Urban Habitat and recent literature called Designing Tall Building by Mark Sarkisian, this paper explores the design development of high-rise buildings in Jakarta from time to time in the aspects of architecture, structure and sustainability.

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