scholarly journals Effective Aquatic Waste Removal through Lake Cleaning Robot for Smart city Environment

2020 ◽  
Vol 9 (4) ◽  
pp. 2831-2835
Keyword(s):  
Waste Management ◽  
Smart City ◽  
Water Sources ◽  
Computational Time ◽  
Raspberry Pi ◽  
Main Concern ◽  
City Environment ◽  
Cleaning Robot ◽  
Waste Removal ◽  
And Control

Water sources are contaminated by garbage, weeds and plastic wastes. Effective waste removal in the water sources such as lakes, ponds and rivers is essential for waste management and control. In Indian setting, Aquatic waste management and control is of main concern for implementing smart city and achieving clean India mission. Therefore the proposed work, aims at developing intelligent solution towards automating the waste removal in lakes. Lake cleaning robot system for removing the surface wastes is experimented in this work. This lake cleaning system uses Raspberry Pi along with proximity sensors for detection and DC motors for movement. Raspberry pi controls the movement of the robot along with gripper, motors, ultrasonic sensor and IR sensor. The working prototype model of the proposed system exhibits good accuracy with reduced computational time. Henceforth, the developed lake cleaning robot could be used towards reducing water pollution through efficient waste removal for implementing smart city environment.

scholarly journals Developing Intelligent Child Protection and Security Systems

2020 ◽  
pp. 63-66
Keyword(s):  
Child Protection ◽  
Computational Time ◽  
Raspberry Pi ◽  
Prototype Model ◽  
Main Concern ◽  
Road Accidents ◽  
Person Identification ◽  
Security Systems ◽  
Safety Measures ◽  
Safety Systems

In present time, the security and safety aspect of a school going children is of main concern and paramount importance. In India, many children are found to be missing and yield to road accidents because of lack of preventive safety measures. Parents are always concerned about their children during commute. This project proposes an Raspberry pi based intelligent solution to assist parents in real time to track their children location. In order to track the location and find the identity of the child a AI thinker and camera is used in the proposed system. The system uses Raspberry pi as main microcontroller. The project also proposes safety systems such as person identification, Geofacing and automatically ON and OFF system using thumb impression. The working prototype model of the developed system exhibits good accuracy with reduced computational time. By incorporating all those above features, we can assure the safety and security of every school children.

IoT-Based Dynamic Traffic Management and Control for Smart City in India

2021 ◽  
pp. 127-139
Author(s):  
Deepali Kothari ◽  
Anjana Jain ◽  
Arun Parakh
Keyword(s):  
Traffic Control ◽  
Smart City ◽  
Traffic Management ◽  
Cost Effective ◽  
Raspberry Pi ◽  
Traffic Condition ◽  
Traffic System ◽  
Proposed Model ◽  
Traffic Control System ◽  
And Control

The world is becoming smart as IoT is now an integral part of individuals' routine lives. To control any devices at any place and at anytime from anywhere is now just a matter of access. The goal of this work is to provide simple, efficient, cost-effective, and reliable communication system for traffic management. Keeping in view the aim of smart city, after cleanliness, traffic is the major concern nowadays. A case study is presented through proposed model in this work that will help in improving traffic condition of the city. The available data is analyzed and processed through Raspberry-pi. This data is simultaneously being updated at the web server through cloud. Based on the data available in real time, the system enables controlling traffic system dynamically. This helps in reducing congestion and provides fast going way for heavy vehicular traffic. The system can be clubbed with existing centralized traffic control system in the Indore city to manage traffic conditions in a better way.

scholarly journals Internet Security Issues in Smart City Environment

2020 ◽  
Vol 1 (1) ◽  
pp. 14-30
Author(s):  
Zohaib Maqbool ◽  
Raja Habib ◽  
Tariq Aziz ◽  
Asma Maqbool ◽  
Oriba Altaf
Keyword(s):  
Smart City ◽  
Recent Literature ◽  
Denial Of Service ◽  
Internet Security ◽  
Cyber Attacks ◽  
Ddos Attacks ◽  
Security Issues ◽  
City Environment ◽  
Iot Devices ◽  
And Control

The invention of IoT devices brings innovation to solve and control house hold devices. The demand of IoT devices like Google and Amazon Echo family has increased after their invention. New inventions may leave a lot of security flaws that must be resolved or addressed. Invention of IoT devices especially devices made for household become, pre vulnerable to many cyber-attacks leading to the leak of privacy. Recent literature revealed that IoT devices have both positive and negative sides. Leakage of privacy and protection lea people into troubles due to the Denial of Service (DDoS) attacks.

AN ELECTRONICS SOLUTION TO FACILITATE SMART CITY FOR WASTE MANAGEMENT

2019 ◽  
Vol 9 (3) ◽  
pp. 38 ◽  
Author(s):  
M. ADAT DEEPALI ◽  
V. MANE DESHMUKH PRASHANT ◽  
S. K. TILEKAR ◽  
B. P. LAGAONKAR ◽  
◽  
...  
Keyword(s):  
Waste Management ◽  
Smart City

An Overview of Microorganism in Waste Management and Control

2018 ◽  
Vol 8 (12) ◽  
Author(s):  
B. A. Jinjiri ◽  
M. Garandawa ◽  
R. Sabo ◽  
A. U. Mustapha
Keyword(s):  
Waste Management ◽  
And Control

scholarly journals Designing of an Advanced Compression Bioreactor with an Implementation of a Low-Cost Controlling System Connected to a Mobile Application

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 915
Author(s):  
Gözde Dursun ◽  
Muhammad Umer ◽  
Bernd Markert ◽  
Marcus Stoffel
Keyword(s):  
Mobile Application ◽  
Low Cost ◽  
Experimental Information ◽  
Raspberry Pi ◽  
Tissue Constructs ◽  
Cost Controlling ◽  
Controlling System ◽  
And Control ◽  
Tissue Models

(1) Background: Bioreactors mimic the natural environment of cells and tissues by providing a controlled micro-environment. However, their design is often expensive and complex. Herein, we have introduced the development of a low-cost compression bioreactor which enables the application of different mechanical stimulation regimes to in vitro tissue models and provides the information of applied stress and strain in real-time. (2) Methods: The compression bioreactor is designed using a mini-computer called Raspberry Pi, which is programmed to apply compressive deformation at various strains and frequencies, as well as to measure the force applied to the tissue constructs. Besides this, we have developed a mobile application connected to the bioreactor software to monitor, command, and control experiments via mobile devices. (3) Results: Cell viability results indicate that the newly designed compression bioreactor supports cell cultivation in a sterile environment without any contamination. The developed bioreactor software plots the experimental data of dynamic mechanical loading in a long-term manner, as well as stores them for further data processing. Following in vitro uniaxial compression conditioning of 3D in vitro cartilage models, chondrocyte cell migration was altered positively compared to static cultures. (4) Conclusion: The developed compression bioreactor can support the in vitro tissue model cultivation and monitor the experimental information with a low-cost controlling system and via mobile application. The highly customizable mold inside the cultivation chamber is a significant approach to solve the limited customization capability of the traditional bioreactors. Most importantly, the compression bioreactor prevents operator- and system-dependent variability between experiments by enabling a dynamic culture in a large volume for multiple numbers of in vitro tissue constructs.

Overview of Path-Planning and Obstacle Avoidance Algorithms for UAVs: A Comparative Study

2018 ◽  
Vol 06 (02) ◽  
pp. 95-118 ◽  
Author(s):  
Mohammadreza Radmanesh ◽  
Manish Kumar ◽  
Paul H. Guentert ◽  
Mohammad Sarim
Keyword(s):  
Path Planning ◽  
Comparative Study ◽  
Operating Conditions ◽  
Computational Time ◽  
Safe Operation ◽  
Sense And Avoid ◽  
Planning Algorithms ◽  
And Control ◽  
Global And Local ◽  
Further Development

Unmanned aerial vehicles (UAVs) have recently attracted the attention of researchers due to their numerous potential civilian applications. However, current robot navigation technologies need further development for efficient application to various scenarios. One key issue is the “Sense and Avoid” capability, currently of immense interest to researchers. Such a capability is required for safe operation of UAVs in civilian domain. For autonomous decision making and control of UAVs, several path-planning and navigation algorithms have been proposed. This is a challenging task to be carried out in a 3D environment, especially while accounting for sensor noise, uncertainties in operating conditions, and real-time applicability. Heuristic and non-heuristic or exact techniques are the two solution methodologies that categorize path-planning algorithms. The aim of this paper is to carry out a comprehensive and comparative study of existing UAV path-planning algorithms for both methods. Three different obstacle scenarios test the performance of each algorithm. We have compared the computational time and solution optimality, and tested each algorithm with variations in the availability of global and local obstacle information.

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