The ETL-Humanoid system—a high-performance full-body humanoid system for versatile real-world interaction

2003 ◽  
Vol 17 (2) ◽  
pp. 149-164 ◽  
Author(s):  
Akihiko Nagakubo ◽  
Yasuo Kuniyoshi ◽  
Gordon Cheng
Keyword(s):  
Real World ◽  
High Performance ◽  
System A ◽  
Full Body

scholarly journals Modular Design of Full Body Exoskeleton suit for Industry, Construction and Military Purpose

2021 ◽  
Vol 10 (5) ◽  
pp. 1-16
Author(s):  
Lalchand Kumawat ◽  
M Abdul Salam ◽  
Ponnapalli Naga Sai Vivek ◽  
Sajja Sri Bharath ◽  
Mustafa Ali Mustafa Emam
Keyword(s):  
High Performance ◽  
Modular Design ◽  
Cooling System ◽  
Health Sector ◽  
Lithium Ion ◽  
Prototype Model ◽  
System A ◽  
Lithium Ion Cells ◽  
Actuator Control ◽  
Full Body

Exoskeleton suits can be considered as a wearable robotic item ,where the main inution is to increase,improve& boost the physical performance of operator/user by a desired margin , it has a great practicality in the present time as it can be implemented in a variety of filed extending from Health sector to industries .The scope of this is to design a full-body, rigid, Active, performance type mobile-exoskeleton prototype, by targeting it as mainly applicable for the Industry sector , Defence sector & Civil-(construction, fire & safety department, etc) Sectors , which has seen to be taking a leap in to this genre .This paper explicates the methodology for the design which was modeled in “Solidworks” and analysys of mechanical strucuture – performed by “Ansys Workbench”& selection of actuation mechanism with a coustomised design which was validated by a series of analysis in “Altiar Flux Motor” , this paper also scrutinize very succinctly the “gait” cycle & its phases ,it summarise the necessity of the “gait” analysis- which was performed by “Opensim”from which data was acquired for the analysis of designed prototype & for the guidance in actuation of the prototype by prediction & restriction of drive controller value to the normal gait values during locomotion by “gait assist function”,where the actuator control is primarly by the sensing of a series of “Strain guage” belts attached to the users muscles , 4 different control drivers used for actuation out of which for thigh joint the control drive was coustamised , the battery houses 728 high-performance Lithium-ion cells 0f “Panasonic-NCR18650B 3400MAh”,for cooling system a common aluminium heat sink was used .the other critical factors which was considered during the designing was cost-effectiveness, minimal maintenance, ergonomic , efficiency and safety of the designed prototype is also pithily considered . the total weight of the designed prototype model was 79Kg & was able to lift & locomote at 1.36m/s with a payload of 258kg.

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.

scholarly journals Revisiting the CompCars Dataset for Hierarchical Car Classification: New Annotations, Experiments, and Results

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 596
Author(s):  
Marco Buzzelli ◽  
Luca Segantin
Keyword(s):  
Real World ◽  
High Performance ◽  
Ad Hoc ◽  
Future Research ◽  
Levels Of Detail ◽  
Excellent Starting Point ◽  
Starting Point ◽  
Hierarchical Nature ◽  
Multiple Levels ◽  
Entire Dataset

We address the task of classifying car images at multiple levels of detail, ranging from the top-level car type, down to the specific car make, model, and year. We analyze existing datasets for car classification, and identify the CompCars as an excellent starting point for our task. We show that convolutional neural networks achieve an accuracy above 90% on the finest-level classification task. This high performance, however, is scarcely representative of real-world situations, as it is evaluated on a biased training/test split. In this work, we revisit the CompCars dataset by first defining a new training/test split, which better represents real-world scenarios by setting a more realistic baseline at 61% accuracy on the new test set. We also propagate the existing (but limited) type-level annotation to the entire dataset, and we finally provide a car-tight bounding box for each image, automatically defined through an ad hoc car detector. To evaluate this revisited dataset, we design and implement three different approaches to car classification, two of which exploit the hierarchical nature of car annotations. Our experiments show that higher-level classification in terms of car type positively impacts classification at a finer grain, now reaching 70% accuracy. The achieved performance constitutes a baseline benchmark for future research, and our enriched set of annotations is made available for public download.

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.

scholarly journals Improving speed of models for improved real-world decision-making

2021 ◽  
Author(s):  
Jason Thompson ◽  
Haifeng Zhao ◽  
Sachith Seneviratne ◽  
Rohan Byrne ◽  
Rajith Vidanaarachichi ◽  
...  
Keyword(s):  
High Performance Computing ◽  
Real World ◽  
High Performance ◽  
Time Pressure ◽  
Practical Importance ◽  
Model Development ◽  
Sudden Onset ◽  
Health Crisis ◽  
Performance Improvements ◽  
Performance Computing

The sudden onset of the COVID-19 global health crisis and as-sociated economic and social fall-out has highlighted the im-portance of speed in modeling emergency scenarios so that ro-bust, reliable evidence can be placed in policy and decision-makers’ hands as swiftly as possible. For computational social scientists who are building complex policy models but who lack ready access to high-performance computing facilities, such time-pressure can hinder effective engagement. Popular and ac-cessible agent-based modeling platforms such as NetLogo can be fast to develop, but slow to run when exploring broad param-eter spaces on individual workstations. However, while deploy-ment on high-performance computing (HPC) clusters can achieve marked performance improvements, transferring models from workstations to HPC clusters can also be a technically challenging and time-consuming task. In this paper we present a set of generic templates that can be used and adapted by NetLogo users who have access to HPC clusters but require ad-ditional support for deploying their models on such infrastruc-ture. We show that model run-time speed improvements of be-tween 200x and 400x over desktop machines are possible using 1) a benchmark ‘wolf-sheep predation’ model in addition to 2) an example drawn from our own work modeling the spread of COVID-19 in Victoria, Australia. We describe how a focus on improving model speed is non-trivial for model development and discuss its practical importance for improved policy and de-cision-making in the real world. We provide all associated doc-umentation in a linked git repository.

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.

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