نتایج جستجو برای: depth chip level

تعداد نتایج: 1264735  

2012
Shohei Yamamura Shouki Yatsushiro Yuka Yamaguchi Kaori Abe Yasuo Shinohara Eiichi Tamiya Yoshinobu Baba Masatoshi Kataoka

BACKGROUND Accurate detection and analysis of circulating tumor cells plays an important role in the diagnosis and treatment of metastatic cancer treatment. METHODS AND FINDINGS A cell microarray chip was used to detect spiked carcinoma cells among leukocytes. The chip, with 20,944 microchambers (105 µm width and 50 µm depth), was made from polystyrene; and the formation of monolayers of leuk...

2012
Neil Burch Robert C. Holte

In this paper we show that the move pruning method we presented at SoCS last year sometimes prunes all the least-cost paths from one state to another. We present two examples exhibiting this erroneous behaviour–a simple, artificial example and a slightly more complex example that arose in last year’s experiments. We then formally prove that a simple modification to our move pruning method makes...

Journal: :Metals 2023

Machining of AISI 304 austenitic stainless steel is considered to be difficult due its structural aspects and low thermal conductivity, which leads increased temperatures during machining. To overcome the challenges machining steel, several cooling lubricating techniques have been developed. The main objective this experimental study evaluate different turning conditions AISI304 under dry minim...

Journal: :Journal of Lightwave Technology 2022

We present a design of balanced homodyne receivers suitable for ultra-low noise quantum applications such as continuous-variable key distribution and random number generation. For best bandwidth performance die-level low-parasitic photodiode together with low-noise high-speed transimpedance amplifier are explored planar lightwave circuit splitter chip serving photomixer. Bandwidths 750 MHz 2.6 ...

Journal: :IJARAS 2013
Konstantinos Tatas Kostas Siozios Alexandros Bartzas Costas Kyriacou Dimitrios Soudris

This paper presents a framework for high-level exploration, Register Transfer-Level (RTL) design and rapid prototyping of Network-on-Chip (NoC) architectures. From the high-level exploration, a selected NoC topology is derived, which is then implemented in RTL using an automated design flow. Furthermore, for verification purposes, appropriate self-checking testbenches for the verification of th...

2009
Suman K. Mandal Nikhil Gupta Ayan Mandal Javier Malave Jason D. Lee Rabi N. Mahapatra

This paper describes NoCBench, a benchmarking platform for evaluating the performance of Network-on-chip enabled Systems-on-chip. NoCBench includes an initial set of standardized processing cores, NoC components, and application benchmarks for system-level design exploration and analysis. It uses the NoCSim network on-chip simulator as the core simulation engine to execute these models and appl...

2009
Pei Fen Kuan Guangjin Pan Ron Stewart Sündüz Keleş

Chromatin immunoprecipitation followed by direct sequencing (ChIP-Seq) has revolutionalized the experiments in profiling DNA-protein interactions and chromatin remodeling patterns. However, limited statistical tools are available for modeling and analyzing the ChIP-Seq data thoroughly. We carefully study the data generating mechanism of ChIP-Seq data and propose a new model-based approach for d...

Journal: :Optics Express 2023

The generation of squeezed light in semiconductor materials opens opportunities for building on-chip devices that are operated at the quantum level. Here we study theoretically a source polariton dark solitons confined geometric potential well microcavities strong coupling regime. We show odd and even parities can be created by tuning depth. When driving depth linearly, bistability with two dif...

Journal: :Neural Computing and Applications 2022

Abstract Progress is being made to deploy convolutional neural networks (CNNs) into the Internet of Things (IoT) edge devices for handling image analysis tasks locally. These require low-latency and low-power computation on low-resource IoT devices. However, CNN-based algorithms, e.g. YOLOv2, typically contain millions parameters. With increase in CNN’s depth, filters are increased by a power t...

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