scholarly journals Automatic Phenotyping of Tomatoes in Production Greenhouses Using Robotics and Computer Vision: From Theory to Practice

Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1599
Author(s):  
Hubert Fonteijn ◽  
Manya Afonso ◽  
Dick Lensink ◽  
Marcel Mooij ◽  
Nanne Faber ◽  
...  
Keyword(s):  
High Performance ◽  
Production Environment ◽  
Fully Integrated ◽  
System A ◽  
Challenging Environment ◽  
Spatial Reference Frame ◽  
High Throughput Phenotyping ◽  
Genetic Value ◽  
Automatic Phenotyping ◽  
Non Destructive

High-throughput phenotyping is playing an increasingly important role in many areas of agriculture. Breeders will use it to obtain values for the traits of interest so that they can estimate genetic value and select promising varieties; growers may be interested in having predictions of yield well in advance of the actual harvest. In most phenotyping applications, image analysis plays an important role, drastically reducing the dependence on manual labor while being non-destructive. An automatic phenotyping system combines a reliable acquisition system, a high-performance segmentation algorithm for detecting fruits in individual images, and a registration algorithm that brings the images (and the corresponding detected plants or plant components) into a coherent spatial reference frame. Recently, significant advances have been made in the fields of robotics, image registration, and especially image segmentation, which each individually have improved the prospect of developing a fully integrated automatic phenotyping system. However, so far no complete phenotyping systems have been reported for routine use in a production environment. This work catalogs the outstanding issues that remain to be resolved by describing a prototype phenotyping system for a production tomato greenhouse, for many reasons a challenging environment.

Design of differential-mode bandpass filter with common-mode suppression using ring dielectric resonator

2016 ◽  
Vol 9 (5) ◽  
pp. 1029-1035 ◽  
Author(s):  
Jugul Kishor ◽  
Binod K. Kanaujia ◽  
Santanu Dwari ◽  
Ashwani Kumar
Keyword(s):  
Dielectric Resonator ◽  
High Performance ◽  
Bandpass Filter ◽  
Ring Resonator ◽  
Differential Mode ◽  
Common Mode ◽  
Mode Suppression ◽  
Transmission Zeros ◽  
System A ◽  
Good Agreement

Synthesis of differential-mode bandpass filter (BPF) with good common-mode suppression has been described and demonstrated on the basis of ring dielectric resonator (RDR) for high-performance communication system. A RDR with two pairs of feeding lines has been used to excite TE01δ-mode. This unique combination of feeding lines and the ring resonator creates a differential passband. Meanwhile, TM01δ-mode of the DR can also be excited to achieve common-mode rejection in the stopband. Transmission zeros are created in the lower and upper stopband to further improve the selectivity of the proposed BPF. A second-order differential BPF is designed, fabricated and its performance is measured to validate the concept. There is good agreement between simulated and measured results.

Custom Built of Smart Computing Platform for Supporting Optimization Methods and Artificial Intelligence Research

2021 ◽  
Vol 58 (S) ◽  
pp. 59-64
Author(s):  
Indar Sugiarto ◽  
Doddy Prayogo ◽  
Henry Palit ◽  
Felix Pasila ◽  
Resmana Lim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Message Passing ◽  
Graphics Processing Units ◽  
High Performance ◽  
Message Passing Interface ◽  
Optimization Methods ◽  
Computer Hardware ◽  
Production Environment ◽  
Computing Platform ◽  
Commercial Off The Shelf

This paper describes a prototype of a computing platform dedicated to artificial intelligence explorations. The platform, dubbed as PakCarik, is essentially a high throughput computing platform with GPU (graphics processing units) acceleration. PakCarik is an Indonesian acronym for Platform Komputasi Cerdas Ramah Industri Kreatif, which can be translated as “Creative Industry friendly Intelligence Computing Platform”. This platform aims to provide complete development and production environment for AI-based projects, especially to those that rely on machine learning and multiobjective optimization paradigms. The method for constructing PakCarik was based on a computer hardware assembling technique that uses commercial off-the-shelf hardware and was tested on several AI-related application scenarios. The testing methods in this experiment include: high-performance lapack (HPL) benchmarking, message passing interface (MPI) benchmarking, and TensorFlow (TF) benchmarking. From the experiment, the authors can observe that PakCarik's performance is quite similar to the commonly used cloud computing services such as Google Compute Engine and Amazon EC2, even though falls a bit behind the dedicated AI platform such as Nvidia DGX-1 used in the benchmarking experiment. Its maximum computing performance was measured at 326 Gflops. The authors conclude that PakCarik is ready to be deployed in real-world applications and it can be made even more powerful by adding more GPU cards in it.

A SURVEY OF CHECKPOINT/RESTART TECHNIQUES ON DISTRIBUTED MEMORY SYSTEMS

2013 ◽  
Vol 23 (04) ◽  
pp. 1340011 ◽  
Author(s):  
FAISAL SHAHZAD ◽  
MARKUS WITTMANN ◽  
MORITZ KREUTZER ◽  
THOMAS ZEISER ◽  
GEORG HAGER ◽  
...  
Keyword(s):  
High Performance ◽  
Building Blocks ◽  
Memory Systems ◽  
Time To Failure ◽  
Flow Solver ◽  
The Road ◽  
System A ◽  
Node Level ◽  
Mean Time ◽  
Performance Computing

The road to exascale computing poses many challenges for the High Performance Computing (HPC) community. Each step on the exascale path is mainly the result of a higher level of parallelism of the basic building blocks (i.e., CPUs, memory units, networking components, etc.). The reliability of each of these basic components does not increase at the same rate as the rate of hardware parallelism. This results in a reduction of the mean time to failure (MTTF) of the whole system. A fault tolerance environment is thus indispensable to run large applications on such clusters. Checkpoint/Restart (C/R) is the classic and most popular method to minimize failure damage. Its ease of implementation makes it useful, but typically it introduces significant overhead to the application. Several efforts have been made to reduce the C/R overhead. In this paper we compare various C/R techniques for their overheads by implementing them on two different categories of applications. These approaches are based on parallel-file-system (PFS)-level checkpoints (synchronous/asynchronous) and node-level checkpoints. We utilize the Scalable Checkpoint/Restart (SCR) library for the comparison of node-level checkpoints. For asynchronous PFS-level checkpoints, we use the Damaris library, the SCR asynchronous feature, and application-based checkpointing via dedicated threads. Our baseline for overhead comparison is the naïve application-based synchronous PFS-level checkpointing method. A 3D lattice-Boltzmann (LBM) flow solver and a Lanczos eigenvalue solver are used as prototypical applications in which all the techniques considered here may be applied.

Fully Integrated Organic Nanocrystal Diode as High Performance Room Temperature NO2Sensor

2016 ◽  
Vol 28 (15) ◽  
pp. 2971-2977 ◽  
Author(s):  
Abdur Rehman Jalil ◽  
Hao Chang ◽  
Vineeth Kumar Bandari ◽  
Peter Robaschik ◽  
Jian Zhang ◽  
...  
Keyword(s):  
High Performance ◽  
Room Temperature ◽  
Fully Integrated

scholarly journals Return Flight

1999 ◽  
Vol 121 (12) ◽  
pp. 62-64 ◽  
Author(s):  
Peggy Chalmers
Keyword(s):  
Flight Control ◽  
High Performance ◽  
Development Work ◽  
Flight Control System ◽  
Complex Interactions ◽  
System A ◽  
Physical Testing ◽  
Fluid Properties ◽  
Computational Fluid Dynamics Cfd ◽  
Thrust Control

This article focuses on the fact that using computational fluid dynamics (CFD) and design of experiments (DOE) software, researchers are in pursuit of aircraft fluidics thrust control without moving component parts. Fluidics’ performance is dictated by complex interactions among approximately two dozen geometric and fluid properties. These complex interactions probably proved overwhelming to early researchers seeking a stable, reliable rocket flight control system. A major advantage of DOE is that it allows all the parameters to vary simultaneously. A single permutation, on the other hand, varies one parameter at a time and cannot deal with interactions among the fixed parameters. There is still more development work to be done, but indications are that CFD and DOE are leading Lockheed Martin to a promising design. Physical testing reinforces the belief that a fluidic nozzle can achieve the performance levels required. The technology that never got off the ground in the early rocket era may find itself flying high in the next generation of high-performance tactical aircraft.

scholarly journals Novel strategies for italian cherries developement and commercialization

Italus Hortus ◽  
2019 ◽  
Vol 26 ◽  
pp. 1-18
Author(s):  
Roberto Della Casa ◽  
Francesco Mattioli
Keyword(s):  
High Performance ◽  
Middle Age ◽  
Age Groups ◽  
Domestic Market ◽  
Young Age ◽  
The World ◽  
National Production ◽  
English Speaking ◽  
English Speaking World ◽  
Non Destructive

For the benefit of a younger audience, the cherry can be further enhanced by freeing it from the fruit group and allowing it to become part of the world of desserts and special treats. On the contrary, the localisms, traditions, and seasonality which characterize much of the national production can be further emphasized for the middle age and the “differently young” age groups, especially for the domestic market. Common to these diverse strategies is the need for high performance varieties linked to a structured sales season and non-destructive sorting with the use of the latest technologies to guarantee what the English-speaking world calls “consistent quality” and what we could rename “quality that lives up to our promises.”

New Generation of Brake Callipers to Improve Competitiveness and Energy Savings in Very High Performance Cars

2014 ◽  
Vol 217-218 ◽  
pp. 471-480
Author(s):  
Ivano Gattelli ◽  
Gian Luigi Chiarmetta ◽  
Marcello Boschini ◽  
Renzo Moschini ◽  
Mario Rosso ◽  
...  
Keyword(s):  
High Pressure ◽  
High Performance ◽  
Energy Savings ◽  
High Reliability ◽  
A357 Alloy ◽  
Bench Tests ◽  
Heat Treated ◽  
New Generation ◽  
Non Destructive ◽  
Very High

This paper concerns with the optimisation of the innovative rheocasting process to produce a new generation of brake callipers, characterised by very high reliability and strength. The attained very promising properties favoured their use on a very high performance car and the presented technique can be further extended for other important challenging applications. The prototype components are produced using T6 heat treated A357 alloy. Results on the samples machined directly from the produced callipers are in detail described and analysed. Pieces exhibiting some small defects, individuated by non-destructive tests, as well as defectless pieces have been underlined to severe industrial tests, e.g. high pressure tight, as well as severe bench tests, and it has been observed that the proposed technological process assure the fulfilment of the requirements contained in standards.

Fully-integrated multifunctional fast time to amplitude converter for high-performance timing applications

2021 ◽  
Author(s):  
Giulia Acconcia ◽  
Francesco Malanga ◽  
Ivan Labanca ◽  
Massimo Ghioni ◽  
Ivan Rech
Keyword(s):  
High Performance ◽  
Fast Time ◽  
Fully Integrated ◽  
Performance Timing

Concurrent Subspace Optimization Using Design Variable Sharing in a Distributed Computing Environment

1995 ◽  
Author(s):  
Brett A. Wujek ◽  
John E. Renaud ◽  
Stephen M. Batill ◽  
Jay B. Brockman
Keyword(s):  
Distributed Computing ◽  
Design Variable ◽  
High Performance ◽  
Low Cost ◽  
Multidisciplinary Design ◽  
Computing Environment ◽  
Subspace Optimization ◽  
System A ◽  
Implementation Studies ◽  
Concurrent Subspace Optimization

Abstract This paper reviews recent implementation advances and modifications in the continued development of a Concurrent Subspace Optimization (CSSO) algorithm for Multidisciplinary Design Optimization (MDO). The CSSO-MDO algorithm implemented in this research incorporates a Coordination Procedure of System Approximation (CP-SA) for design updates. Implementation studies detail the use of a new discipline based decomposition strategy which provides for design variable sharing across discipline design regimes (i.e., subspaces). The algorithm is implemented in a distributed computing environment, providing for concurrent discipline design. Implementation studies introduce a new multidisciplinary design test problem, the optimal design of a high performance, low cost structural system. A graphical user interface is developed which provides for menu driven execution and results display; this new programming environment highlights the modularity of the algorithm. Significant time savings are observed when using distributed computing for concurrent design across disciplines. The use of design variable sharing across disciplines does not introduce any difficulties in implementation as the design update in the CSSO-MDO algorithm is generated in the coordination procedure of system approximation (CP-SA).

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