scholarly journals ULoc

2021 ◽  
Vol 5 (3) ◽  
pp. 1-31
Author(s):  
Minghui Zhao ◽  
Tyler Chang ◽  
Aditya Arun ◽  
Roshan Ayyalasomayajula ◽  
Chi Zhang ◽  
...  
Keyword(s):  
Power Consumption ◽  
State Of The Art ◽  
Tracking System ◽  
The State ◽  
Location Estimation ◽  
High Bandwidth ◽  
Time Of Travel ◽  
Localization And Tracking ◽  
State Of Art ◽  
Better Than

A myriad of IoT applications, ranging from tracking assets in hospitals, logistics, and construction industries to indoor tracking in large indoor spaces, demand centimeter-accurate localization that is robust to blockages from hands, furniture, or other occlusions in the environment. With this need, in the recent past, Ultra Wide Band (UWB) based localization and tracking has become popular. Its popularity is driven by its proposed high bandwidth and protocol specifically designed for localization of specialized "tags". This high bandwidth of UWB provides a fine resolution of the time-of-travel of the signal that can be translated to the location of the tag with centimeter-grade accuracy in a controlled environment. Unfortunately, we find that high latency and high-power consumption of these time-of-travel methods are the major culprits which prevent such a system from deploying multiple tags in the environment. Thus, we developed ULoc, a scalable, low-power, and cm-accurate UWB localization and tracking system. In ULoc, we custom build a multi-antenna UWB anchor that enables azimuth and polar angle of arrival (henceforth shortened to '3D-AoA') measurements, with just the reception of a single packet from the tag. By combining multiple UWB anchors, ULoc can localize the tag in 3D space. The single-packet location estimation reduces the latency of the entire system by at least 3×, as compared with state of art multi-packet UWB localization protocols, making UWB based localization scalable. ULoc's design also reduces the power consumption per location estimate at the tag by 9×, as compared to state-of-art time-of-travel algorithms. We further develop a novel 3D-AoA based 3D localization that shows a stationary localization accuracy of 3.6 cm which is 1.8× better than the state-of-the-art two-way ranging (TWR) systems. We further developed a temporal tracking system that achieves a tracking accuracy of 10 cm in mobile conditions which is 4.3× better than the state-of-the-art TWR systems.

Ultrathin RuRh@(RuRh)O2 core@shell nanosheets as stable oxygen evolution electrocatalysts

2020 ◽  
Vol 8 (31) ◽  
pp. 15746-15751 ◽  
Author(s):  
Kai Wang ◽  
Bolong Huang ◽  
Weiyu Zhang ◽  
Fan Lv ◽  
Yi Xing ◽  
...  
Keyword(s):  
Oxygen Evolution ◽  
State Of The Art ◽  
The State ◽  
Oxide Shell ◽  
Core Shell ◽  
Stable Oxygen ◽  
Better Than

We report a novel architecture of ultrathin RuRh@(RuRh)O2 core/shell nanosheets with a core of ultrathin metallic RuRh nanosheets and a shell of (RuRh)O2 oxides as a superb electrocatalyst toward the oxgen evolution reaction (OER), better than most of the state-of-the-art Ru-based or Ir-based electrocatalysts. Moreover, the RuRh@(RuRh)O2 core/shell nanosheets exhibit good durability because the (RuRh)O2 oxide shell protects the normally labile RuRh NS core against dissolution during the OER process.

scholarly journals Harnessing the Energy of Tidal Currents: State-of-the-Art and Proposal of Use in EV Charging Points

Proceedings ◽  
2018 ◽  
Vol 2 (23) ◽  
pp. 1504
Author(s):  
Aitor Fernández-Jiménez ◽  
Daniel Fernández-de la Cruz ◽  
Jesús Ruiz-Torres ◽  
Jose Luis Perrino-Blanco ◽  
Raúl Jimeno-Almeida
Keyword(s):  
Electric Vehicles ◽  
State Of The Art ◽  
Tidal Currents ◽  
The State ◽  
Floating Platform ◽  
Charging Station ◽  
Floating Platforms ◽  
Ev Charging ◽  
State Of Art

The implantation of floating platforms for the generation of electricity from tidal currents is possible due to the development of new hydrokinetic microturbines. This article presents an analysis of the situation in which the exploitation of tidal currents is nowadays, the state of art of the existing technologies and the principal projects that are currently underway. In addition, it focuses on the different aspects and criteria to consider for building one of these plants. Finally, an installation by floating platform is proposed to supply electricity to a charging station for electric vehicles near the Nalon river (Spain) with a description of it and an analysis of feasibility.

scholarly journals Category Trees - Classifiers that Branch on Category

2021 ◽  
Vol 12 (06) ◽  
pp. 65-76
Author(s):  
Kieran Greer
Keyword(s):  
State Of The Art ◽  
The State ◽  
Biological Analogy ◽  
Category Type ◽  
Benchmark Datasets ◽  
Batch Input ◽  
Distinguishing Features ◽  
Incorrect Data ◽  
Better Than

This paper presents a batch classifier that splits a dataset into tree branches depending on the category type. It has been improved from the earlier version and fixed a mistake in the earlier paper. Two important changes have been made. The first is to represent each category with a separate classifier. Each classifier then classifies its own subset of data rows, using batch input values to create the centroid and also represent the category itself. If the classifier contains data from more than one category however, it needs to create new classifiers for the incorrect data. The second change therefore is to allow the classifier to branch to new layers when there is a split in the data, and create new classifiers there for the data rows that are incorrectly classified. Each layer can therefore branch like a tree - not for distinguishing features, but for distinguishing categories. The paper then suggests a further innovation, which is to represent some data columns with fixed value ranges, or bands. When considering features, it is shown that some of the data can be classified directly through fixed value ranges, while the rest must be classified using a classifier technique and the idea allows the paper to discuss a biological analogy with neurons and neuron links. Tests show that the method can successfully classify a diverse set of benchmark datasets to better than the state-of-the-art.

scholarly journals Classifier for Activities with Variations

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3529 ◽  
Author(s):  
Rabih Younes ◽  
Mark Jones ◽  
Thomas Martin
Keyword(s):  
Activity Recognition ◽  
State Of The Art ◽  
The State ◽  
Daily Activities ◽  
Controlled Environment ◽  
Novel Approach ◽  
Specific Activities ◽  
Application Specific ◽  
Complex Activities ◽  
Better Than

Most activity classifiers focus on recognizing application-specific activities that are mostly performed in a scripted manner, where there is very little room for variation within the activity. These classifiers are mainly good at recognizing short scripted activities that are performed in a specific way. In reality, especially when considering daily activities, humans perform complex activities in a variety of ways. In this work, we aim to make activity recognition more practical by proposing a novel approach to recognize complex heterogeneous activities that could be performed in a wide variety of ways. We collect data from 15 subjects performing eight complex activities and test our approach while analyzing it from different aspects. The results show the validity of our approach. They also show how it performs better than the state-of-the-art approaches that tried to recognize the same activities in a more controlled environment.

scholarly journals Convolver Design and Convolve-Accumulate Unit Design for Low-Power Edge Computing

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5081
Author(s):  
Hsu-Yu Kao ◽  
Xin-Jia Chen ◽  
Shih-Hsu Huang
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
State Of The Art ◽  
Clock Cycle ◽  
The State ◽  
Edge Computing ◽  
Convolution Operation ◽  
Product Matrix ◽  
Unit Design ◽  
Overall Performance

Convolution operations have a significant influence on the overall performance of a convolutional neural network, especially in edge-computing hardware design. In this paper, we propose a low-power signed convolver hardware architecture that is well suited for low-power edge computing. The basic idea of the proposed convolver design is to combine all multipliers’ final additions and their corresponding adder tree to form a partial product matrix (PPM) and then to use the reduction tree algorithm to reduce this PPM. As a result, compared with the state-of-the-art approach, our convolver design not only saves a lot of carry propagation adders but also saves one clock cycle per convolution operation. Moreover, the proposed convolver design can be adapted for different dataflows (including input stationary dataflow, weight stationary dataflow, and output stationary dataflow). According to dataflows, two types of convolve-accumulate units are proposed to perform the accumulation of convolution results. The results show that, compared with the state-of-the-art approach, the proposed convolver design can save 15.6% power consumption. Furthermore, compared with the state-of-the-art approach, on average, the proposed convolve-accumulate units can reduce 15.7% power consumption.

scholarly journals Variable Torque Prescription: State of Art.

2015 ◽  
Vol 9 (1) ◽  
pp. 60-64 ◽  
Author(s):  
Mariano Lacarbonara ◽  
Ettore Accivile ◽  
Maria R. Abed ◽  
Maria Teresa Dinoi ◽  
Annalisa Monaco ◽  
...  
Keyword(s):  
Clinical Case ◽  
State Of The Art ◽  
The State ◽  
Clinical Aspect ◽  
Suitable Tool ◽  
Torque Values ◽  
State Of Art ◽  
Over Time

The variable prescription is widely described under the clinical aspect: the clinics is the result of the evolution of the state-of-the-art, aspect that is less considered in the daily literature. The state-of-the-art is the key to understand not only how we reach where we are but also to learn how to manage propely the torque, focusing on the technical and biomechanical purpos-es that led to the change of the torque values over time. The aim of this study is to update the clinicians on the aspects that affect the torque under the biomechanical sight, helping them to understand how to managing it, following the “timeline changes” in the different techniques so that the Variable Prescription Orthodontic (VPO) would be a suitable tool in every clinical case.

scholarly journals A Review of the State-of-Art, Limitations, and Perspectives of Machine Vision for Grape Ripening Estimation

2021 ◽  
Vol 9 (1) ◽  
pp. 2
Author(s):  
Eleni Vrochidou ◽  
Christos Bazinas ◽  
George A. Papakostas ◽  
Theodore Pachidis ◽  
Vassilis G. Kaburlasos
Keyword(s):  
Machine Vision ◽  
State Of The Art ◽  
The State ◽  
Wine Industry ◽  
Ripening Stage ◽  
Robotic Automation ◽  
Non Destructive ◽  
State Of Art ◽  
Destructive Methods ◽  
Critical Aspects

This work highlights the most recent machine vision methodologies and algorithms proposed for estimating the ripening stage of grapes. Destructive and non-destructive methods are overviewed for in-field and in-lab applications. Integration principles of innovative technologies and algorithms to agricultural agrobots, namely, Agrobots, are investigated. Critical aspects and limitations, in terms of hardware and software, are also discussed. This work is meant to be a complete guide of the state-of-the-art machine vision algorithms for grape ripening estimation, pointing out the advantages and barriers for the adaptation of machine vision towards robotic automation of the grape and wine industry.

scholarly journals Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network

2019 ◽  
Author(s):  
Li Rui ◽  
Zheng Shunyi ◽  
Duan Chenxi ◽  
Yang Yang ◽  
Wang Xiqi
Keyword(s):  
Spatial Information ◽  
Hyperspectral Image ◽  
State Of The Art ◽  
Empirical Studies ◽  
The State ◽  
Attention Mechanism ◽  
Spatial Features ◽  
Better Than

In recent years, more and more researchers have gradually paid attention to Hyperspectral Image (HSI) classification. It is significant to implement researches on how to use HSI's sufficient spectral and spatial information to its fullest potential. To capture spectral and spatial features, we propose a Double-Branch Dual-Attention mechanism network (DBDA) for HSI classification in this paper, Two branches aer designed to extract spectral and spatial features separately to reduce the interferences between these two kinds of features. What is more, because distinguishing characteristics exist in the two branches, two types of attention mechanisms are applied in two branches above separately, ensuring to exploit spectral and spatial features more discriminatively. Finally, the extracted features are fused for classification. A series of empirical studies have been conducted on four hyperspectral datasets, and the results show that the proposed method performs better than the state-of-the-art method.

scholarly journals Calibration and Certification of Industrial Sensors – a Global Review

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Product Quality ◽  
State Of The Art ◽  
Metrological Traceability ◽  
Quality System ◽  
The State ◽  
Point Of View ◽  
Management Systems ◽  
Equipment Availability ◽  
Measurement Science ◽  
State Of Art

The main objective of this paper is to describe the state of the art of the calibration and certification of industrial sensors, giving an approach on how companies can manage the sensors’ calibration, namely the ones that are incorporated in the equipment. For any industry it is essential to make products that satisfy the customers in terms of quality and, simultaneously, to be competitive in the market. The data obtained from the sensors placed in the equipment is one of the sources that helps to increase the performance, adding value for the competitiveness of the company in the market. Sensors are responsible, in many sectors, to guarantee equipment availability and product quality. In this way, the certification of the company and of the equipment, not only guarantee quality and prevent unwanted and unforeseen costs, but also gives company credibility, namely from the customer's point of view. This paper focus on the state of art of industrial metrology, namely sensors, standards and measuring tools, calibrations and the certification of calibration. It also includes a theoretical section about sensors, types of sensors, their operation and characteristics. Next, it is presented the theme of metrology and the measurement science, responsible for ensuring the quality and veracity of the data sent by the reading equipment. It also addresses the importance of metrological traceability and certified management systems, which are required to certify the sensors calibration, in order to guarantee the effectiveness of the measurements and, consequently, the rigor of operation of the associated quality system.

scholarly journals Assessment of Position Repeatability Error in an Electromagnetic Tracking System for Surgical Navigation

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 961 ◽  
Author(s):  
Gregorio Andria ◽  
Filippo Attivissimo ◽  
Attilio Di Nisio ◽  
Anna Maria Lucia Lanzolla ◽  
Mattia Alessandro Ragolia
Keyword(s):  
Surgical Navigation ◽  
State Of The Art ◽  
Tracking System ◽  
The State ◽  
Operating Table ◽  
Electromagnetic Tracking ◽  
Position Measurement ◽  
Sensor Position ◽  
Repeatability Error ◽  
Electromagnetic Tracking System

In this paper we present a study of the repeatability of an innovative electromagnetic tracking system (EMTS) for surgical navigation, developed to overcome the state of the art of current commercial systems, allowing for the placement of the magnetic field generator far from the operating table. Previous studies led to the development of a preliminary EMTS prototype. Several hardware improvements are described, which result in noise reduction in both signal generation and the measurement process, as shown by experimental tests. The analysis of experimental results has highlighted the presence of drift in voltage components, whose effect has been quantified and related to the variation of the sensor position. Repeatability in the sensor position measurement is evaluated by means of the propagation of the voltage repeatability error, and the results are compared with the performance of the Aurora system (which represents the state of the art for EMTS for surgical navigation), showing a repeatability error about ten times lower. Finally, the proposed improvements aim to overcome the limited operating distance between the field generator and electromagnetic (EM) sensors provided by commercial EM tracking systems for surgical applications and seem to provide a not negligible technological advantage.

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