scholarly journals An Automation System for Controlling Streetlights and Monitoring Objects Using Arduino

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3178 ◽  
Author(s):  
Zain Mumtaz ◽  
Saleem Ullah ◽  
Zeeshan Ilyas ◽  
Naila Aslam ◽  
Shahid Iqbal ◽  
...  
Keyword(s):  
Large Scale ◽  
Low Cost ◽  
Automated System ◽  
Automation System ◽  
Infrared Sensors ◽  
Night Time ◽  
Require Time ◽  
The Road ◽  
Automation Systems ◽  
Objects Detection

We present an Arduino-based automation system to control the streetlights based on solar rays and object’s detection. We aim to design various systems to achieve the desired operations, which no longer require time-consuming manual switching of the streetlights. The proposed work is accomplished by using an Arduino microcontroller, a light dependent resistor (LDR) and infrared-sensors while, two main contributions are presented in this work. Firstly, we show that the streetlights can be controlled based on the night and object’s detection. In which the streetlights automatically turn to DIM state at night-time and turn to HIGH state on object’s detection, while during day-time the streetlights will remain OFF. Secondly, the proposed automated system is further extended to skip the DIM condition at night time, and streetlights turn ON based on the objects’ detection only. In addition, an automatic door system is introduced to improve the safety measurements, and most importantly, a counter is set that will count the number of objects passed through the road. The proposed systems are designed at lab-scale prototype to experimentally validate the efficiency, reliability, and low-cost of the systems. We remark that the proposed systems can be easily tested and implemented under real conditions at large-scale in the near future, that will be useful in the future applications for automation systems and smart homes.

scholarly journals Automated Wormscan

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 192 ◽  
Author(s):  
Timothy Puckering ◽  
Jake Thompson ◽  
Sushruth Sathyamurthy ◽  
Sinduja Sukumar ◽  
Tirosh Shapira ◽  
...  
Keyword(s):  
Large Scale ◽  
Moving Objects ◽  
Low Cost ◽  
Automated System ◽  
Software Training ◽  
Robust Identification ◽  
Labour Costs ◽  
Difference Images ◽  
Rapid Data Acquisition

There has been a recent surge of interest in computer-aided rapid data acquisition to increase the potential throughput and reduce the labour costs of large scale Caenorhabditis elegans studies. We present Automated WormScan, a low-cost, high-throughput automated system using commercial photo scanners, which is extremely easy to implement and use, capable of scoring tens of thousands of organisms per hour with minimal operator input, and is scalable. The method does not rely on software training for image recognition, but uses the generation of difference images from sequential scans to identify moving objects. This approach results in robust identification of worms with little computational demand. We demonstrate the utility of the system by conducting toxicity, growth and fecundity assays, which demonstrate the consistency of our automated system, the quality of the data relative to manual scoring methods and congruity with previously published results.

High precision and high resolution monitoring of subsurface changes with DAS and airgun

2020 ◽  
Author(s):  
Baoshan Wang ◽  
Xiangfang Zeng ◽  
Jun Yang ◽  
Yuansheng Zhang ◽  
Zhenghong Song ◽  
...  
Keyword(s):  
Large Scale ◽  
Fiber Optic ◽  
Epicentral Distance ◽  
Low Cost ◽  
Fiber Optic Cable ◽  
The Road ◽  
Air Gun ◽  
Distributed Acoustic Sensing ◽  
On The Road ◽  
Road Crossing

<p>Recently large-volume airgun arrays have been used to explore and monitor the subsurface structure. The airgun array can generate highly repeatable seismic signals, which can be traced to more than 200 km. And the airgun source can be ignited every 10 minutes. The airgun source makes it possible to precisely monitor subsurface changes at large scale. The spatial resolution of airgun monitoring is poor subjecting to the receiver distribution. The distributed acoustic sensing (DAS) technique provides a strategy for low-cost and high-density seismic observations. Two experiments combing DAS technique and airgun source were conducted at two sites with different settings. At the first site, a telecommunication fiber-optic cable in urban area was used. After moderate stacking, the airgun signal emerges on the 30-km DAS array at about 9 km epicentral distance. In the second experiment, a 5-km cable was deployed from the airgun source to about 2 km away. About 800-m cable was frozen into the ice above the air-gun, the rest cable was cemented on the road crossing through a fault. And the airgun has been fired continuously for more than 48 hours with one-hour interval. On the stacking multiple shots’ records, the wavefield in fault zone emerges too. These two experiments demonstrate the feasibility of using various fiber-optic cables as dense array to acquire air-gun signal in different environments and to monitor the subsurface changes.</p>

Towards Explainable Co-Robots: Developing Confidence-Based Shared Control Paradigms

2020 ◽  
Author(s):  
Daniel Saraphis ◽  
Vahid Izadi ◽  
Amirhossein Ghasemi
Keyword(s):  
Numerical Simulations ◽  
Shared Control ◽  
Automated System ◽  
Generic Model ◽  
Automation System ◽  
Steering Control ◽  
Control Paradigm ◽  
Control Framework ◽  
Automation Systems ◽  
Control Authority

Abstract In this paper, we aim to develop a shared control framework wherein the control authority is dynamically allocated between the human operator and the automation system. To this end, we have defined a shared control paradigm wherein the blending mechanism uses the confidence between a human and co-robot to allocate the control authority. To capture the confidence between the human and robot, qualitatively, a simple-but-generic model is presented wherein the confidence of human-to-robot and robot-to-human is a function of the human’s performance and robot’s performance. The computed confidence will then be used to adjust the level of autonomy between the two agents dynamically. To validate our novel framework, we propose case studies in which the steering control of a semi-automated system is shared between the human and onboard automation systems. The numerical simulations demonstrate the effectiveness of the proposed shared control paradigms.

scholarly journals Automated Incident Detection Using Real-Time Floating Car Data

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Maarten Houbraken ◽  
Steven Logghe ◽  
Marco Schreuder ◽  
Pieter Audenaert ◽  
Didier Colle ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Large Scale ◽  
Low Cost ◽  
Field Trials ◽  
Traffic Monitoring ◽  
Sensor Data ◽  
Feasibility Trial ◽  
Incident Detection ◽  
The Road ◽  
Floating Car Data

The aim of this paper is to demonstrate the feasibility of a live Automated Incident Detection (AID) system using only Floating Car Data (FCD) in one of the first large-scale FCD AID field trials. AID systems detect traffic events and alert upcoming drivers to improve traffic safety without human monitoring. These automated systems traditionally rely on traffic monitoring sensors embedded in the road. FCD allows for finer spatial granularity of traffic monitoring. However, low penetration rates of FCD probe vehicles and the data latency have historically hindered FCD AID deployment. We use a live country-wide FCD system monitoring an estimated 5.93% of all vehicles. An FCD AID system is presented and compared to the installed AID system (using loop sensor data) on 2 different highways in Netherlands. Our results show the FCD AID can adequately monitor changing traffic conditions and follow the AID benchmark. The presented FCD AID is integrated with the road operator systems as part of an innovation project, making this, to the best of our knowledge, the first full chain technical feasibility trial of an FCD-only AID system. Additionally, FCD allows for AID on roads without installed sensors, allowing road safety improvements at low cost.

Development of an Automatic Plant Monitoring System

2015 ◽  
Vol 1115 ◽  
pp. 458-461
Author(s):  
Moinul Bhuiyan ◽  
Tengku Muhammad Afif bin Tengku Azmi
Keyword(s):  
Monitoring System ◽  
Mobile Communication ◽  
Large Scale ◽  
Low Cost ◽  
Human Interaction ◽  
Automated System ◽  
Test Plant ◽  
Global System ◽  
Suitable Amount ◽  
Plant Monitoring

Automated system operates with less human interaction which reduces job overheads. This paper represents an automated plant monitoring system which could be applicable for practical plantation field in Malaysia to boost up the agricultural productions. The monitoring system, which is presented in this paper, uses three sensors to measure humidity, temperature, and moisture of the surroundings of the test plant and provides the most suitable amount of water to plant depending on the coefficient generated from the sensors’ data. Arduino Global System for Mobile Communication (GSM) Shield is also integrated with the system to monitor the process using mobile phone. Considering the reduction of environmental pollution, solar power system is used to power-up the designed monitoring system. Low cost and good results of practical experimentations present that the system is viable to implement in large scale plant monitoring and irrigation.

scholarly journals Smart Car Automated System to Assist the Driverin Detecting the Problem and Providing the Solution

2019 ◽  
Vol 8 (6S4) ◽  
pp. 727-731 ◽  
Keyword(s):  
Mobile Application ◽  
Low Cost ◽  
Diagnostic System ◽  
Emergency Situation ◽  
Automated System ◽  
Software Systems ◽  
The Road ◽  
On The Road ◽  
Smart Mobile ◽  
Integrated Software

Intodays world, Mobile application plays a very important role to process any type of data in hand. The mobile application is mainly developed for the drivers to work in mobile devices and to run on tablets and smart phones. These applications are used for various purposes like web browsing, calendar, buying music, gaming, traveling, entertainment, social networking and productivity. The mobile applications differ from the integrated software systems found in Personal Computers by its isolated functionality. The motor Car belongs to the mechanical world, and the functionality is not aware by all the drivers, thus it becomes a difficult one to handle it. In the existing system, there is no diagnostic system launched in mobile application for the drivers to find the minor problems in each and every car. There is only a manual book given to the drivers for motorcar by the manufacturer to see how to start a car and the parts of the car are given in detail. There is nothingmentioned about the minor problems that happens in the motorcar and the solution to recover it.To overcome the problems faced by the Drivers on the road and to help them in emergency situation, a Self Detection and recovery system is proposed for the Drivers, especially for the Learning drivers to detect the minorproblems in the vehicles and also to recover from those problems by using this automized smart system. Through this smart mobile application, the driver can find solutions for all the minor problems faced in the motorcar. The driver will be aware of exact fault and the driver can take necessary action accordingly. The proposed system acts as a good driver friendly interface for any Driver to detect the minor problem easily by using the alert signals and also to recover from these problems easily by searching through the terms, which usually denote the type of the problem and it accordingly find out the solutions, which would be highly helpful to proceed without interruption. The proposed system a low cost application wherein the driver has to sign up and find the solutions to the problems. This mobile application is secured because only the authorized driver can login and see the solutions but not by anyone else. This application gives the correct and exact solution to all the minor problems encountered by the mobile driver.

scholarly journals Automated Wormscan

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 192 ◽  
Author(s):  
Timothy Puckering ◽  
Jake Thompson ◽  
Sushruth Sathyamurthy ◽  
Sinduja Sukumar ◽  
Tirosh Shapira ◽  
...  
Keyword(s):  
Large Scale ◽  
Moving Objects ◽  
Low Cost ◽  
Automated System ◽  
Software Training ◽  
Robust Identification ◽  
Labour Costs ◽  
Difference Images ◽  
Rapid Data Acquisition

There has been a recent surge of interest in computer-aided rapid data acquisition to increase the potential throughput and reduce the labour costs of large scale Caenorhabditis elegans studies. We present Automated WormScan, a low-cost, high-throughput automated system using commercial photo scanners, which is extremely easy to implement and use, capable of scoring tens of thousands of organisms per hour with minimal operator input, and is scalable. The method does not rely on software training for image recognition, but uses the generation of difference images from sequential scans to identify moving objects. This approach results in robust identification of worms with little computational demand. We demonstrate the utility of the system by conducting toxicity, growth and fecundity assays, which demonstrate the consistency of our automated system, the quality of the data relative to manual scoring methods and congruity with previously published results.

Non-destructive and effective bridge monitoring through fast-falling weight deflectometer

2021 ◽  
Author(s):  
Mario Lucio Puppio ◽  
Fausto Mistretta ◽  
Mauro Coni ◽  
Mauro Sassu
Keyword(s):  
Large Scale ◽  
Low Cost ◽  
Dynamic Force ◽  
Falling Weight Deflectometer ◽  
The Road ◽  
New Applications ◽  
Falling Weight ◽  
Soil Instability ◽  
Climate Events ◽  
Non Destructive

<p>Recent collapses due to hydrogeological soil instability caused by extreme climate events recall the attention on a large-scale monitoring of the road infrastructures, particularly bridges and viaducts. Several studies focus the attention on both hydraulic and structural issues. In-depth systematic investigations do not suit this purpose because of time and cost investments usually carried out from local authorities. Increasing needs of available fast, low cost and reliable methods to investigate the performance of the road and bridges pushed towards new applications. The use of Fast-Falling Weight Deflectometer, conceived for airport pavements, is here applied as a non-destructive test to evaluate the stiffness of the deck and embankment of a bridge. The- Fast Falling Weight Deflectometer can produce a broadband, constant and replicable dynamic force, providing data in real time. An experimental campaign is here described on a case study of single span bridge.</p>

scholarly journals THE EFFECT OF SUPPLY AUTOMATION SYSTEMS TECHNICAL OPERATIONS READINESS OF INDONESIAN WARSHIP (CASE STUDY: DOPUSBEKTIM)

JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 160
Author(s):  
Antonius Fandiano
Keyword(s):  
Spare Parts ◽  
Automated System ◽  
Automation System ◽  
Eastern Region ◽  
Automation Systems ◽  
Distribution Process ◽  
Supporting Material ◽  
Supply Pattern ◽  
To Receive

In the system of guiding material for the Navy the spare parts are supporting material because of their nature as a provision that supports the maintenance of the main material so that it is always maintained and maintained its quality. The Eastern Region Procurement Center Depot or Dopusbektim is the Technical Implementation Unit (UPT) of Head quarter of Indonesian Navy Service, which has the duty and responsibility to receive, store, maintain and distribute provisions to the user unit or user unit including of Indonesian Warship In especially those located in the Koarmatim region or currently is Second Fleet of Indonesian Navy (Koarmada II). In supporting its duties and functions as a storage and distribution facility, Dopusbektim has a structured and implemented supply pattern supported by an automated system that uses special applications so that the distribution process can be carried out better in supporting technical operations readiness of Indonesian Warship. However, in carrying out the Dopusbektim debriefing, it was felt that it was not optimal although it was supported by infrastructure because there were still obstacles and obstacles. This results in Dopusbektim's duties and functions, one of which is providing services in order to support technical operations readiness of Indonesian Warship has not been maximized. Therefore it is necessary to analyze which effects need to be improved in optimally supporting technical operations readiness of Indonesian Warship .Keywords: Supplies Pattern, Automation System, Indonesian Warship Technical Operational Readiness, Multiple Regression analysis.

scholarly journals Automated Wormscan

F1000Research ◽  
2019 ◽  
Vol 6 ◽  
pp. 192 ◽  
Author(s):  
Timothy Puckering ◽  
Jake Thompson ◽  
Sushruth Sathyamurthy ◽  
Sinduja Sukumar ◽  
Tirosh Shapira ◽  
...  
Keyword(s):  
Large Scale ◽  
Moving Objects ◽  
Low Cost ◽  
Automated System ◽  
Software Training ◽  
Robust Identification ◽  
Labour Costs ◽  
Difference Images ◽  
Rapid Data Acquisition

There has been a recent surge of interest in computer-aided rapid data acquisition to increase the potential throughput and reduce the labour costs of large scale Caenorhabditis elegans studies. We present Automated WormScan, a low-cost, high-throughput automated system using commercial photo scanners, which is extremely easy to implement and use, capable of scoring tens of thousands of organisms per hour with minimal operator input, and is scalable. The method does not rely on software training for image recognition, but uses the generation of difference images from sequential scans to identify moving objects. This approach results in robust identification of worms with little computational demand. We demonstrate the utility of the system by conducting toxicity, growth and fecundity assays, which demonstrate the consistency of our automated system, the quality of the data relative to manual scoring methods and congruity with previously published results.

Sign in / Sign up

Export Citation Format

Share Document