Recent advances in microfluidics are expected to lead sensor systems for high-throughput biochemical analysis. CAD tools needed handle increased design complexity such systems. Analogous classical VLSI synthesis, a top-down automation approach can shorten the cycle and reduce human effort. We focus here on droplet routing problem, which is key issue biochip physical automation. develop first systematic method that be integrated with synthesis. The proposed minimizes number of cells used...

Microfluidics-based biochips are soon expected to revolutionize clinical diagnosis, deoxyribonucleic acid (DNA) sequencing, and other laboratory procedures involving molecular biology. In contrast continuous-flow systems that rely on permanently etched microchannels, micropumps, microvalves, digital microfluidics offers a scalable system architecture dynamic reconfigurability; groups of unit cells in array can be reconfigured change their functionality during the concurrent execution set...

Microfluidic biochips offer a promising platform for massively parallel DNA analysis, automated drug discovery, and real-time biomolecular recognition. Current techniques full-custom design of droplet-based “digital” do not scale well concurrent assays next-generation system-on-chip (SOC) designs that are expected to include microfluidic components. We propose system methodology attempts apply classical high-level synthesis the digital biochips. focus here on problem scheduling bioassay...

Microfluidic biochips promise to revolutionize biosensing and clinical diagnostics. As more bioassays are executed concurrently on a biochip, system integration design complexity expected increase dramatically. This problem is also identified by the 2003 ITRS document as major system-level challenge beyond 2009. We focus here automated of droplet-based microfluidic biochips. present synthesis methodology that unifies operation scheduling, resource binding, module placement for such "digital"...

The maturity level of tomato is a key factor picking, which directly determines the transportation distance, storage time, and market freshness postharvest tomato. In view lack studies on classification under nature greenhouse environment, this paper proposes SE-YOLOv3-MobileNetV1 network to classify four kinds maturity. proposed model improved in terms speed accuracy: (1) Speed: Depthwise separable convolution used. (2) Accuracy: Mosaic data augmentation, K-means clustering algorithm,...

Microfluidics-based biochips offer a promising platform for massively parallel DNA analysis, automated drug discovery, and real-time biomolecular recognition. Current techniques full-custom design of droplet-based "digital" do not scale well concurrent assays next-generation system-on-chip (SOC) designs that are expected to include fluidic components. We propose system methodology attempts apply classical architectural-level synthesis the digital microfluidics-based biochips. first develop...

Since the mature green tomatoes have color similar to branches and leaves, some are shaded by overlapped other tomatoes, accurate detection location of these is rather difficult. This paper proposes use Mask R-CNN algorithm for segmentation tomatoes. A mobile robot designed collect images round-the-clock with different conditions in whole greenhouse, thus, make sure captured dataset not only objects interest users. After training process, RestNet50-FPN selected as backbone network. Then,...

Microfluidics-based biochips are soon expected to revolutionize clinical diagnosis, DNA sequencing, and other laboratory procedures involving molecular biology. Most microfluidic today based on the principle of continuous fluid flow they rely permanently etched microchannels, micropumps, microvalves. We focus here automated design “digital” droplet-based biochips. In contrast conventional continuous-flow systems, digital microfluidics offers dynamic reconfigurability; groups cells in a array...

In this paper, we propose a tree trunk and obstacle detection method in semistructured apple orchard environment based on improved YOLOv5s, with an aim to improve the real-time performance. The improvement includes using K-means clustering algorithm calculate anchor frame adding Squeeze-and-Excitation module 10% pruning operation ensure both accuracy speed. Images of orchards different seasons under light conditions are collected better simulate actual operating environment....

Composite microsystems that integrate mechanical and fluidic components are fast emerging as the next generation of system-on-chip designs. As these systems become widespread in safety-critical biomedical applications, dependability emerges a critical performance parameter. In this paper, we present costeffective concurrent test methodology for droplet-based microelectrofluidic systems. We classification catastrophic parametric faults such show how can be detected by electrostatically...

Recent events have heightened the need for fast, accurate, and reliable biological/chemical sensor systems critical locations. As droplet-based microelectrofluidic become widespread in these safety-critical biomedical applications, reliability emerges as a performance parameter. In order to ensure operational health of such systems, they be monitored defects, not only after manufacturing, but also during in-field operation. this paper, we present cost-effective concurrent test methodology...

Microfluidics-based biochips, also referred to as lab-on-a-chip, are devices that integrate fluid-handling functions such sample preparation, analysis, separation, and detection. This emerging technology combines electronics with biology open new application areas point-of-care diagnosis, on-chip DNA automated drug discovery. We propose a design automation method for pin-constrained biochips manipulate nanoliter volumes of discrete droplets on microfluidic array. In contrast the...

High-frequency deep brain stimulation (DBS) of the subthalamic nucleus (STN) is effective in suppressing motor symptoms Parkinson's disease (PD). Current clinically-deployed DBS technology operates an open-loop fashion, i.e., fixed parameter high-frequency delivered continuously, invariant to needs or status patient. This poses two major challenges: (1) depletion stimulator battery due energy demands continuous stimulation, (2) stimulation-induced side-effects. Closed-loop (CL DBS) may be...

We present a concurrent testing methodology for detecting catastrophic faults in droplet-based microfluidic systems and investigate the related problems of test planning resource optimization. apply this to array that was fabricated used perform multiplexed glucose lactate assays. The approach interleaves application with biomedical assays prevents conflicts. show an integer linear programming model can be minimize time given hardware overhead due droplet dispensing sources capacitive...

Microfluidics-based biochips, also referred to as lab-on-a-chip (LoC), are devices that integrate fluid-handling functions such sample preparation, analysis, separation, and detection. This emerging technology combines electronics with biology open new application areas point-of-care diagnosis, on-chip DNA automated drug discovery. We propose a design automation method for pin-constrained LoCs manipulate nanoliter volumes of discrete droplets on microfluidic array. In contrast the...

Microfluidics-based biochips are soon expected to revolutionize biosensing, clinical diagnostics and drug discovery. Robust off-line on-line test techniques required ensure system dependability as these deployed for safety-critical applications. Due the underlying mixed-technology mixed-energy domains, exhibit unique failure mechanisms defects. We first relate some realistic defects fault models observable errors. next set up an experiment evaluate manifestations of electrode-short faults....

The objective here is to explore the use of adaptive input-output feedback linearization method achieve an improved deep brain stimulation (DBS) algorithm for closed-loop control Parkinson's state. law based on a highly nonlinear computational model disease (PD) with unknown parameters. restoration thalamic relay reliability formulated as desired outcome methodology, and DBS waveform input. input adjusted in real time according estimates parameters well signal. Simulation results show that...

Microfluidics-based biochips are soon expected to revolutionize clinical diagnosis, DNA sequencing, and other laboratory procedures involving molecular biology. Most microfluidic based on the principle of continuous fluid flow they rely permanently-etched microchannels, micropumps, microvalves. We focus here automated design "digital" droplet-based biochips. In contrast continuous-flow systems, digital microfluidics offers dynamic reconfigurability; groups cells in a array can be...

We present a concurrent testing methodology for detecting catastrophic faults in digital microfluidics-based biochips and investigate the related problems of test planning resource optimization. first show that an integer linear programming model can be used to minimize time given hardware overhead, example, droplet dispensing sources capacitive sensing circuitry. Due NP-complete nature problem, we also develop efficient heuristic procedures solve this optimization problem. apply proposed...

Walking detection in the daily life of patients with Parkinson's disease (PD) is great significance for tracking progress disease. This study aims to implement an accurate, objective, and passive algorithm optimized based on interpretable deep learning architecture walking PD explore most representative spatiotemporal motor features. Five inertial measurement units attached wrist, ankle, waist are used collect motion data from 100 subjects during a 10-meter test. The raw each sensor...