scholarly journals Smart and Inexpensive Implementation of GARBAGE DISPOSAL SYSTEM for Smart Cities

2019 ◽  
Vol 8 (3) ◽  
pp. 3220-3224
Keyword(s):  
Developing Countries ◽  
Smart Cities ◽  
Management Systems ◽  
Garbage Disposal ◽  
Waste Production ◽  
Efficient Route ◽  
The Cost ◽  
Real Time Information ◽  
Time Information ◽  
The Internet Of Things

With the growth in urbanization and consumption of resources the problem of trash and waste production has also gone up. This is becoming a cause of concern and especially in developing countries where there are no or very less efficient waste management systems in place. Due to the problem of littering and inefficient garbage disposal systems overflow of garbage is common which leads to air and land pollution. The systems currently in-place in developing countries are not efficient and garbage collection trucks have no way to get the real-time information of garbage cans and because of the wide span of a city many garbage cans remain empty and others don't get collected thus it leads to overflow. The goal of this project is to solve the problem of overflowing of garbage, littering, and inefficient garbage disposal systems with the help of device created using the Internet of Things (IoT) to provide efficient routes and trash separation, thus reducing the cost and increasing time efficiency. The device will also help in separating the metallic and non-metallic waste into separate bins, further considering the most filled garbage bins and providing an efficient route with their locations

scholarly journals City with Smart Waste Management: Introducing Waste Bin Technologies

2021 ◽  
Vol 34 (02) ◽  
pp. 1032-1038
Author(s):  
Arya Majidi
Keyword(s):  
Internet Of Things ◽  
Adverse Effects ◽  
Waste Management ◽  
Smart Cities ◽  
Human Life ◽  
The Other ◽  
The Internet ◽  
Waste Collection ◽  
Waste Production ◽  
The Internet Of Things

Population growth and urbanization have led to an increase in the rate of waste production, the lack of timely and proper management of which will have adverse effects on human life and the environment. Since most of the waste management costs are spent on waste collection and transportation, it is necessary to find solutions to control the huge costs of this sector. On the other hand, today, intelligent technologies are used globally as solutions to meet challenges in various fields such as agriculture to improve agro-industrial production, transportation, and waste management, which creates a concept called smart cities. One of the categories that has changed the concept of cities and made them have easier and smarter answers to various events and needs is the "Internet of Things", in which many cases and infrastructures with new hardware technologies and Software are integrated. Waste collection is no exception to this rule and efforts have been made to make it smarter. In this research, some of the latest innovations presented globally in order to make trash smarter have been examined.

scholarly journals Proposal of a Conceptual Architecture System for Informing the User in the IoT Environment

2019 ◽  
Vol 31 (1) ◽  
pp. 37-47 ◽  
Author(s):  
Marko Periša ◽  
Goran Marković ◽  
Peter Kolarovszki ◽  
Radovan Madleňák
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
The Internet ◽  
User Requirements ◽  
Elderly Persons ◽  
System Operation ◽  
Persons With Disabilities ◽  
Real Time Information ◽  
Time Information ◽  
The Internet Of Things

Design and development of systems for delivering real-time information to people with disabilities and elderly persons need to be based on defined user requirements. For this purpose, the user requirements have been defined in this paper according to the everyday needs of people who use traffic networks and move in closed spaces. The logical presentation of the functionality of the informing system operation and its subsystems includes all the information (data) important for designing a user information delivery system. The paper presents a conceptual architecture system for delivering user informing services related to the environment based on the Internet of Things concept. The aim of the user informing service is an increase in the level of mobility of persons with disabilities and the senior age groups of users. In order to check the operation of the proposed architecture, the informing system operation was monitored on Arduino Uno and Raspberry Pi platforms in laboratory conditions. A simulation confirmed the interdependence of individual data from different subsystems in order to provide real-time information to the system user. The proposed conceptual architecture can contribute to a more efficient approach to the modeling of assistive technologies (with the aim of informing the users) based on dew/fog/cloud technologies in the Internet of Things  environment.

Parking Guidance Control System Based on Internet of Things

2013 ◽  
Vol 273 ◽  
pp. 641-645 ◽  
Author(s):  
Rong Chun Sun ◽  
Yan Piao ◽  
Yu Wang ◽  
Han Wang
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Real Time ◽  
The Internet ◽  
Guidance Control ◽  
Control Center ◽  
The Real ◽  
Real Time Information ◽  
Time Information ◽  
The Internet Of Things

To help drivers to quickly find a spare parking, a parking guidance control system was proposed. The principle of ultrasonic ranging was used to detect the state of a parking space, and through the internet of things the parking detector transmits the real-time information to the control center. The control center mainly is an industrial computer and is responsible for dealing with the real-time information and sending the control command by internet of things. The guidance signs at each crossroad receive the wireless commands and execute them, by which the guidance function is performed. The internet of things was realized by ZigBee star network, in which the control center is a coordinator and other parts are routers or terminal equipments. The simulation experiment results show that the parking guidance system works well, and has the value of application and promotion to some extent.

scholarly journals An Effective IoT based Fuel and Cost Monitoring System

2019 ◽  
Vol 8 (3) ◽  
pp. 4080-4083
Keyword(s):  
Fuel Consumption ◽  
Monitoring System ◽  
Fuel Price ◽  
Level Sensor ◽  
Fuel Level ◽  
The Cost ◽  
Real Time Information ◽  
To Receive ◽  
Time Information ◽  
Day By Day

As vehicles count increases day by day, the fuel consumption is also increasing. With this tremendous increase in fuel consumption, fuel price is also increasing rapidly. By taking this as an advantage, fuel bunkers are stealing fuel and this cannot be noticed by users because we have no control over the machine. A monitoring system is required to track the fuel level. So, we are proposing a system that helps to indicate the quantity of fuel for the amount we have paid. A petrol level sensor that receives real time information about tank’s fuel level is used which is directly connected to the Arduino mega. A webpage is created to get the petrol cost. The page provides the user with an Admin username and password. The petrol cost is updated only through that webpage. Once the petrol cost is updated, then the IOT module used to receive the petrol cost and transmit it to the Arduino mega. For enabling the cost displaying feature, we have to provide a signal to the controller indicating the need for displaying the petrol cost that is to be added. Now once the switch is in pressed state, the 2.4 TFT display is used to display the petrol cost and when the key is denounced, the cost is reset to zero.

scholarly journals Where to park? Architecture and implementation of an empty parking lot, automatic recognition system

Enfoque UTE ◽  
2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Héctor Ávalos ◽  
Estevan Gómez ◽  
Diego Guzmán ◽  
Diego Ordóñez-Camacho ◽  
Jéssica Román ◽  
...  
Keyword(s):  
Computer Architecture ◽  
Traffic Congestion ◽  
Smart Cities ◽  
Recognition System ◽  
Machine Learning Techniques ◽  
Trip Time ◽  
Learning Techniques ◽  
Parking Lot ◽  
Real Time Information ◽  
Time Information

The traffic congestion present in practically every city has, among its increasing factors, the unavailability of enough parking spaces. A typical driver invests a considerable part of the total trip time looking for a free space where to park his vehicle; in many cases, this leads to delays and the consequent discomfort due to the undesired consequences of the generated tardiness. For this problem it is possible to find partial palliative solutions, minimizing the time spent searching for parking by applying Internet of Things techniques, oriented to smart cities and buildings. This research has been focused on finding an appropriate computer architecture that will allow the implementation of a distributed system, which, thanks to the use of computer vision and machine learning techniques, detects free parking spaces inside a parking lot, and provides real time information to the driver, allowing him to go as directly as possible to a vacant parking space.

scholarly journals Route Planning: A

2021 ◽  
pp. 243-257
Author(s):  
Jean Walrand
Keyword(s):  
Route Planning ◽  
Stochastic Dynamic ◽  
Planning Problem ◽  
Travel Times ◽  
Markov Decision Problem ◽  
Markov Decision ◽  
The Cost ◽  
Main Ideas ◽  
Real Time Information ◽  
Time Information

AbstractThis chapter is concerned with making successive decisions in the presence of uncertainty. The decisions affect the cost at each step but also the “state” of the system. We start with a simple example: choosing a route with uncertain travel times. We then examine a more general model: controlling a Markov chain.Section 13.1 presents a model of route section when the travel times are random. Section 13.2 shows one formulation where one plans the trip long in advance. Section 13.3 explains how the problem changes if one is able to adjust the route based on real-time information. That section introduces the main ideas of stochastic dynamic programming. Section 13.4 discusses a generalization of the route planning problem: a Markov decision problem. Section 13.5 solves the problem when the horizon is infinite.

scholarly journals Possible implementations of the cloud-based data-centric IoT pilot platforms for smart cities and agriculture

2018 ◽  
Vol 12 (1) ◽  
pp. 39-44
Author(s):  
János Simon
Keyword(s):  
Internet Of Things ◽  
Medical Device ◽  
Smart Cities ◽  
Management Systems ◽  
The Internet ◽  
Sensitive Data ◽  
Home Management ◽  
Exercise Routine ◽  
The Internet Of Things

The Internet of Things (IoT) is starting to appear everywhere in many shapes and forms. But security is one of the most crucial thing that could trip up the growth of the IoT. Following security principles used in enterprise computing can help clear that issue. Already there are more connected devices than people on the planet, according to leading researchers in this area. By 2020, there will be 50 billion connected devices, outnumbering people by more than 6 to 1. Most of these devices will be controllable over the Internet, and they will increasingly be responsible for collecting and transmitting sensitive data. Today consumers might own an app that collects information on their exercise routine. In a few years, those same people might have an Internet-enabled medical device that continually delivers data to their doctor. In the wrong hands, data from home management systems could be used to assess user’s whereabouts. Likewise, businesses could be vulnerable when they connect things like HVAC, irrigation, or commercial appliances.

Learning Models for Concept Extraction From Images With Drug Labels for a Unified Knowledge Base Utilizing NLP and IoT Tasks

2020 ◽  
Vol 15 (3) ◽  
pp. 18-33
Author(s):  
Sukumar Rajendran ◽  
Prabhu J.
Keyword(s):  
Scientific Information ◽  
The Internet ◽  
Learning Models ◽  
Concept Extraction ◽  
Free Data ◽  
Semantic Similarity Analysis ◽  
Available Information ◽  
Real Time Information ◽  
Time Information ◽  
The Internet Of Things

The evolution of humankind is through the exchange of information and extraction of knowledge from available information. The process of exchange of the information differs by the probability of the medium through which the information is exchanged. The Internet of things (IoT) contains millions of devices with sensors simultaneously transferring real time information to devices as rapid streams of data that need to be processed on the go. This leads to the need for development of effective and efficient approaches for segregating data based on class, relatedness, and differences in the information. The extraction of text from images is performed through tesseract irrespective of the language. SCIBERT models to extract scientific information and evaluating on a suite of tasks specially in classifying drugs based on free data (tweets, images, etc.). The images and text-based semantic similarity analysis provide similar drugs grouped together by composition or manufacturer.

DISTRIBUTED INTELLIGENCE IN MANUFACTURING INFORMATION SYSTEMS

2011 ◽  
Vol 07 (01) ◽  
pp. 71-87
Author(s):  
DAVID W. RUSSELL
Keyword(s):  
Repair Process ◽  
System Level ◽  
Theoretical Research ◽  
Distributed Intelligence ◽  
Front End ◽  
System Data ◽  
The Cost ◽  
Real Time Information ◽  
Time Information

This paper describes an information system that was architected to enable front end distributed intelligence in a real manufacturing environment. By distributing intelligence to the most robust components of the system, data can be preserved at the cost of very real-time information. In order for the system as a whole to function this way, each software component was fitted with watchdog agent and granted system level access to the operating system so that it could detect and repair itself and other tasks in the event of a failure. During the repair process, the appropriate data collection processes were granted a level of autonomy that preserved data integrity. The paper is quite practical and designed as a case study rather than a theoretical research paper, although the techniques and principles applied are the result of much study.

scholarly journals HEALTHCARE CRITICAL INFRASTRUCTURE STOCHASTIC INTERDEPENDENCIES SIMULATION MODEL FOR SMART CITIES: FLOOD DISASTER SCENARIO

2020 ◽  
Vol V-4-2020 ◽  
pp. 123-129
Author(s):  
N. Nukavarapu ◽  
S. Durbha
Keyword(s):  
Simulation Model ◽  
Real Time ◽  
Sensor Network ◽  
Petri Net ◽  
Critical Infrastructure ◽  
Smart Cities ◽  
Stochastic Petri Net ◽  
Disaster Event ◽  
Real Time Information ◽  
Time Information

Abstract. Healthcare Critical Infrastructure (HCI) is not an independent network; the operation of a healthcare facility depends on many other Critical Infrastructure (CI) networks such as electric supply CI, water supply CI, etc., forming an interdependent CI network. During a flooding disaster event, as the flood levels rise, the interdependent HCI network becomes vulnerable. A failure in one of the CI results in failure of the dependent CI. During a disaster event such as flooding, the failures propagate and cause cascading failures like a domino effect. The paper proposes an IoT based flood sensor network integrated with a stochastic Petri net interdependent healthcare critical infrastructure network simulation model. An IoT (Internet of Things) based flood water level sensor network can deliver real-time information on the flood conditions at the various interdependent CI facilities in the interdependent network, using the Sensor Observation Services (SOS). The Stochastic Petri Net (SCPN) based interdependent Healthcare Critical Infrastructure (HCI) simulation model, is used to model and simulate the stochastic interdependencies between the interdependent HCI networks. The real-time flood sensor network is integrated with the SCPN based interdependent HCI simulation model. The end to end system is developed in a spatiotemporal environment. This kind of an integrated simulation model will help the end-user to understand system dynamics in real-time, visualize and predict the propagation of cascading failure scenarios in an Interdependent HCI network in a spatiotemporal environment, during a flooding scenario. Real-time information simulation would help disaster response personnel to respond to the question, ‘what if something else happens?

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