scholarly journals Displacements of an Active Moderately Rapid Landslide—A Dataset Retrieved by Continuous GNSS Arrays

Data ◽  
2020 ◽  
Vol 5 (3) ◽  
pp. 71 ◽  
Author(s):  
Marco Mulas ◽  
Giuseppe Ciccarese ◽  
Giovanni Truffelli ◽  
Alessandro Corsini
Keyword(s):  
Satellite Images ◽  
Low Cost ◽  
Cost Effective ◽  
The Other ◽  
Image Correlation ◽  
Slow Movement ◽  
Gnss Positioning ◽  
Different Types ◽  
Different Parts ◽  
Rapid Landslide

This paper describes a dataset of continuous GNSS positioning solutions referring to slope movements in the Ca’ Lita landslide (Northern Apennines, Italy). The dataset covers the period from 24 March 2016 to 17 July 2019 and includes time-series of the daily position of three GNSS rovers located in different parts of the landslide: head zone, upper track zone, and lower track zone. Two different types of continuous GNSS arrays have been used: one is based on high-end Leica geodetic receivers, and the other is based on low-cost effective Emlid receivers. Displacements captured in the dataset are up to more than a hundred meters and are characterized by prolonged phases of slow movement and moderately rapid acceleration phases. The data presented in this contribution were used to underline slope processes and validate displacements retrieved by the application of digital image correlation to a stack of a satellite images.

Formation of Part Families for Shared Setups Generation in Sheet Metal Bending

1998 ◽  
Author(s):  
Satyandra K. Gupta
Keyword(s):  
Sheet Metal ◽  
Cost Effective ◽  
Second Step ◽  
Setup Planning ◽  
Planning Techniques ◽  
Individual Part ◽  
Part Families ◽  
Different Types ◽  
Sheet Metal Bending ◽  
Different Parts

Abstract Sheet metal bending press-brakes can be setup to produce more than one type of parts without requiring a setup change. To exploit this flexibility, we need setup planning techniques to generate press-brake setups that can be shared among many different parts. In this paper, we describe an algorithm which partitions a given set of parts into setup compatible part families which can be produced on the same setup. Our algorithm is based on a two step approach. The first step is to identify setup constraints for each individual part. The second step is to form setup-compatible part families based on the compatibility of setup constraints. We expect that by producing many different types of parts on the same setup, we can significantly reduce the required number of setups and enable cost effective small batch manufacturing.

Efficient and Robust Approach for Heartbeat Detection of ECG Signal

2019 ◽  
Vol 29 (08) ◽  
pp. 2050133
Author(s):  
Anas Fouad Ahmed ◽  
Mohammed Abdulmunem Ahmed ◽  
Hussain Mustafa Bierk
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Suggested Method ◽  
The Other ◽  
Ecg Signal ◽  
Excellent Performance ◽  
Robust Approach ◽  
Different Types ◽  
Three Stages ◽  
Electrocardiogram Ecg

This paper introduces an efficient and robust method for heartbeat detection based on the calculated angles between the successive samples of electrocardiogram (ECG) signal. The proposed approach involves three stages: filtering, computing the angles of the signal and thresholding. The suggested method is applied to two different types of ECG databases (QTDB and MIT-BIH). The results were compared with the other algorithms suggested in previous works. The proposed approach outperformed the other algorithms, in spite of its simplicity and their fast calculations. These features make it applicable in real-time ECG diagnostics systems. The suggested method was implemented in real-time using a low cost ECG acquisition system and it shows excellent performance.

Effect of Wheel Additive On Chemo-Mechanical Grinding (CMG) of Single Crystal Si Wafer

2010 ◽  
Vol 447-448 ◽  
pp. 106-110 ◽  
Author(s):  
H. Takahashi ◽  
Y.B. Tian ◽  
Y. Mikami ◽  
J. Shimizu ◽  
Li Bo Zhou ◽  
...  
Keyword(s):  
Silicon Dioxide ◽  
Single Crystal ◽  
Sodium Carbonate ◽  
Low Cost ◽  
The Other ◽  
Si Substrate ◽  
Mechanical Grinding ◽  
Different Types ◽  
Selection Of ◽  
Si Wafer

Chemo-mechanical grinding (CMG) process is a promising process for large-sized Si substrate fabrication at low cost. However, effect of additive in CMG wheel is not completely understood yet. In this paper, three different CMG wheels were developed, in which one excluded additive and the other two contained two kinds of additive i.e. silicon dioxide and sodium carbonate. Grinding experiments were conducted to explore the influence of exclusion of additive and inclusion of different kinds of additive on CMG performance. The grinding characteristics of the three wheels were also analyzed and discussed to reveal the roles of wheel compositions in CMG process. This work provides some fundamental insights for the selection of different types of additive for optimization of CMG wheel.

scholarly journals A Hybrid Deep Learning-Based Spatiotemporal Fusion Method for Combining Satellite Images with Different Resolutions

2021 ◽  
Vol 13 (4) ◽  
pp. 645
Author(s):  
Duo Jia ◽  
Changxiu Cheng ◽  
Changqing Song ◽  
Shi Shen ◽  
Lixin Ning ◽  
...  
Keyword(s):  
Deep Learning ◽  
Temporal Resolution ◽  
Satellite Images ◽  
Time Series Data ◽  
Cost Effective ◽  
Series Data ◽  
Time Interval ◽  
Fusion Model ◽  
Landcover Change ◽  
Different Types

Spatiotemporal fusion (STF) is considered a feasible and cost-effective way to deal with the trade-off between the spatial and temporal resolution of satellite sensors, and to generate satellite images with high spatial and high temporal resolutions. This is achieved by fusing two types of satellite images, i.e., images with fine temporal but rough spatial resolution, and images with fine spatial but rough temporal resolution. Numerous STF methods have been proposed, however, it is still a challenge to predict both abrupt landcover change, and phenological change, accurately. Meanwhile, robustness to radiation differences between multi-source satellite images is crucial for the effective application of STF methods. Aiming to solve the abovementioned problems, in this paper we propose a hybrid deep learning-based STF method (HDLSFM). The method formulates a hybrid framework for robust fusion with phenological and landcover change information with minimal input requirements, and in which a nonlinear deep learning-based relative radiometric normalization, a deep learning-based superresolution, and a linear-based fusion are combined to address radiation differences between different types of satellite images, landcover, and phenological change prediction. Four comparative experiments using three popular STF methods, i.e., spatial and temporal adaptive reflectance fusion model (STARFM), flexible spatiotemporal data fusion (FSDAF), and Fit-FC, as benchmarks demonstrated the effectiveness of the HDLSFM in predicting phenological and landcover change. Meanwhile, HDLSFM is robust for radiation differences between different types of satellite images and the time interval between the prediction and base dates, which ensures its effectiveness in the generation of fused time-series data.

Development of Low-Cost Cable Twister for 3.6 m Telescope at ARIES

2020 ◽  
Vol 09 (03) ◽  
pp. 2050012
Author(s):  
Tarun Bangia ◽  
Wahab Uddin
Keyword(s):  
Optical Fiber ◽  
Low Cost ◽  
Cost Effective ◽  
Task Design ◽  
Flexible Design ◽  
Economical Design ◽  
Different Types ◽  
Manufacturing Assembly ◽  
House Design ◽  
Electrical Cables

In-house design and development of cost-effective cable twister was undertaken at ARIES for back-end instruments of 3.6[Formula: see text]m telescope at Devasthal site located in central Himalayan region of Uttarakhand state in India. Cable twister was designed to route the critical cables such as cryo/helium flexible lines, electrical cables, optical fiber cables and network cables, etc. of various back-end instruments on axial and side ports of 3.6[Formula: see text]m telescope. Designing a space constrained cable twister passing through only 350[Formula: see text]mm diameter central hole available in telescope pier was a challenging task. Design was analyzed with cables at different twister positions for telescope azimuth rotation from 0 to [Formula: see text]. Flexible design, easy routing of cables and quick detachable characteristic of cable twister make it convenient for routing cables of back-end instruments of 3.6[Formula: see text]m telescope. The twister was economically manufactured in-house at ARIES mechanical workshop, assembled, installed and tested with 3.6[Formula: see text]m telescope. Provision for changing of separator plates having different numbers and sizes of holes makes it versatile for the different types of cables in back-end instruments. This paper presents the economical design, analysis, manufacturing, assembly, installation and testing of cable twister with 3.6[Formula: see text]m telescope.

scholarly journals Investigation of the influence of relative humidity and temperature on the IOT solution with low cost air quality monitoring

2020 ◽  
Author(s):  
Ivan Vajs ◽  
◽  
Dejan Dragić ◽  
Ilija Radovanović ◽  
◽  
...  
Keyword(s):  
Air Quality ◽  
Relative Humidity ◽  
Low Cost ◽  
Cost Effective ◽  
Air Monitoring ◽  
Measuring Error ◽  
Monitoring Systems ◽  
Starting Point ◽  
Different Types ◽  
Good Starting Point

Due to the rising air pollution in densely populated areas, the need for reliable and cost-effective air monitoring systems is on the rise. Low-cost off-the-shelf air quality sensors available on the market provide a good starting point as they are readily available and inexpensive but fall short when it comes to accuracy and reliability. In this paper, the influence of relative humidity and temperature on the accuracy of these sensors is analyzed. Different types of statistical models are used in order to model the measuring error of the sensors caused by relative humidity and temperature. Obtained results show that the accuracy of the off-the-shelf system can be improved by adequate compensation and a more reliable, yet inexpensive air monitoring systems could be implemented.

scholarly journals Study of Parallel Algorithms for IP Switches

2019 ◽  
Vol 24 (2) ◽  
pp. 158-163
Author(s):  
Mhnd Farhan
Keyword(s):  
Parallel Algorithms ◽  
High Speed ◽  
Linear Time ◽  
Low Cost ◽  
Cost Effective ◽  
Internet Traffic ◽  
The Other ◽  
The Internet ◽  
Large Capacity ◽  
Internet Connectivity

Abstract Owing to the increase in the internet traffic, any calculation that requires more than linear time would be considered unreasonably moderate for constant applications. One cure is to utilize numerous processors to build up associations in parallel and the other is to construct low cost, high speed, large capacity non-blocking switching architecture. In this paper, our focus is on developing parallel algorithms for routing which will ensure high-speed internet connectivity and at the same time making the system to be cost effective.

scholarly journals An Integrated GIS and Remote Sensing Approach for Monitoring Harvested Areas from Very High-Resolution, Low-Cost Satellite Images

2019 ◽  
Vol 11 (21) ◽  
pp. 2539
Author(s):  
Azadeh Abdollahnejad ◽  
Dimitrios Panagiotidis ◽  
Lukáš Bílek
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Satellite Images ◽  
Sustainable Forest Management ◽  
Low Cost ◽  
Vegetation Indices ◽  
Cost Effective ◽  
Monitoring Method ◽  
Gis And Remote Sensing ◽  
Very High

Advanced monitoring and mapping of forest areas using the latest technological advances in satellite imagery is an alternative solution for sustainable forest management compared to conventional ground measurements. Remote sensing products have been a key source of information and cost-effective options for monitoring changes in harvested areas. Despite recent advances in satellite technology with a broad variety of spectral and temporal resolutions, monitoring the areal extent of harvested forest areas in managed forests is still a challenge, primarily due to the highly dynamic spatiotemporal patterns of logging activities. Our goal was to introduce a plot-based method for monitoring harvested forest areas from very high-resolution (VHR), low-cost satellite images. Our method encompassed two data categories, which included vegetation indices (VIs) and texture analysis (TA). Each group of data was used to model the amount of harvested volume both independently and in combination. Our results indicated that the composition of all spectral bands can improve the accuracy of all models of average volume by 23.52 RMSE reduction and total volume by 33.57 RMSE reduction. This method demonstrated that monitoring and extrapolation of the calculated relation and results from smaller forested areas could be applied as an automatic remote-based supervised monitoring method over larger forest areas.

A Mixed Integer Programming Formulation for Generating Shared Press-Brake Setups

2001 ◽  
Author(s):  
Satyandra K. Gupta ◽  
Deepak Rajagopal
Keyword(s):  
Integer Programming ◽  
Mixed Integer Programming ◽  
Sheet Metal ◽  
Cost Effective ◽  
Mixed Integer ◽  
Actual Process ◽  
Planning Techniques ◽  
Different Types ◽  
Sheet Metal Bending ◽  
Different Parts

Abstract To enable cost-effective small batch manufacturing, we need to eliminate unnecessary setup operations, improve tool utilization, and thereby increase throughput. In sheet metal bending, the time taken for the actual process of bending is significantly less compared to the time taken for setup and tool changes. Press-brakes for sheet metal bending can be setup to produce more than one type of parts without requiring a setup change. To exploit this flexibility, we need setup planning techniques so that press-brake setups can be shared among many different parts. In this paper, we describe an approach based on mixed integer programming to generate a shared setup for a set of parts. We expect that by producing many different types of parts on the same setup, we can significantly reduce the number of setups required and enable cost-effective small-batch manufacturing.

scholarly journals Cost-effective Indoor Localization for Autonomous Robots using Kinect and WiFi Sensors

2020 ◽  
Vol 23 (65) ◽  
pp. 33-55 ◽  
Author(s):  
Raul Cesar Alves ◽  
Josué Silva de Morais ◽  
Keiji Yamanaka
Keyword(s):  
Indoor Localization ◽  
Autonomous Robots ◽  
Fundamental Problem ◽  
Low Cost ◽  
Cost Effective ◽  
Access Point ◽  
New Methods ◽  
Novel Approach ◽  
Separate Particle ◽  
Different Parts

Indoor localization has been considered to be the most fundamental problem when it comes to providing a robot with autonomous capabilities. Although many algorithms and sensors have been proposed, none have proven to work perfectly under all situations. Also, in order to improve the localization quality, some approaches use expensive devices either mounted on the robots or attached to the environment that don't naturally belong to human environments. This paper presents a novel approach that combines the benefits of two localization techniques, WiFi and Kinect, into a single algorithm using low-cost sensors. It uses separate Particle Filters (PFs). The WiFi PF gives the global location of the robot using signals of Access Point devices from different parts of the environment while it bounds particles of the Kinect PF, which determines the robot's pose locally. Our algorithm also tackles the Initialization/Kidnapped Robot Problem by detecting divergence on WiFi signals, which starts a localization recovering process. Furthermore, new methods for WiFi mapping and localization are introduced.

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