Cloud-Based Drone Management System in Smart Cities

2021 ◽  
pp. 211-230
Author(s):  
Dinh-Dung Nguyen
Keyword(s):  
Management System ◽  
Smart Cities

An integrated approach for sustainable development of wastewater treatment and management system using IoT in smart cities

2021 ◽  
Author(s):  
Arodh Lal Karn ◽  
Sharnil Pandya ◽  
Abolfazl Mehbodniya ◽  
Farrukh Arslan ◽  
Dilip Kumar Sharma ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Wastewater Treatment ◽  
Management System ◽  
Smart Cities ◽  
Integrated Approach

Smart IoT for Smart Cities Implementation

2019 ◽  
pp. 43-62
Author(s):  
V. V. Satyanarayana Tallapragada
Keyword(s):  
Internet Of Things ◽  
Management System ◽  
Smart Cities ◽  
Coal Mines ◽  
Industrial Applications ◽  
Smart Phones ◽  
Heterogeneous Devices ◽  
Business Application ◽  
Temperature Levels ◽  
Current Area

Internet of things (IoT) is the current area of research that allows heterogeneous devices to have a homogeneous connectivity based on the designed and desired application of the user. With the latest development in connectivity via smart phones, there is an exponential increase in users who access internet. However, various applications have already been designed based on the user's requirement. Therefore, this chapter intends to provide a detailed view on applications on IoT. Industrial applications help in monitoring the machinery so that production increases with minimum chaos if any error occurs. Safety helmet for mining based on IoT is used to measure the gas and temperature levels in the coal mines. Garbage management system is used for monitoring and clearing of dust bins. IoT-based domestic applications help users to have a better access over the equipment they use. As a business application, emotion analysis is performed to obtain the customers mood while shopping. Monitoring of crops from a remote location is another application which provides data on the health of the crop.

scholarly journals A Framework for an Indoor Safety Management System Based on Digital Twin

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5771
Author(s):  
Zhansheng Liu ◽  
Anshan Zhang ◽  
Wensi Wang
Keyword(s):  
Management System ◽  
Safety Management ◽  
Smart Cities ◽  
Safety Data ◽  
Support Vector ◽  
The Internet ◽  
Safety Management System ◽  
Winter Olympics ◽  
Digital Twins ◽  
Building Information

With the development of the next generation of information technology, an increasing amount of attention is being paid to smart residential spaces, including smart cities, smart buildings, and smart homes. Building indoor safety intelligence is an important research topic. However, current indoor safety management methods cannot comprehensively analyse safety data, owing to a poor combination of safety management and building information. Additionally, the judgement of danger depends significantly on the experience of the safety management staff. In this study, digital twins (DTs) are introduced to building indoor safety management. A framework for an indoor safety management system based on DT is proposed which exploits the Internet of Things (IoT), building information modelling (BIM), the Internet, and support vector machines (SVMs) to improve the level of intelligence for building indoor safety management. A DT model (DTM) is developed using BIM integrated with operation information collected by IoT sensors. The trained SVM model is used to automatically obtain the types and levels of danger by processing the data in the DTM. The Internet is a medium for interactions between people and systems. A building in the bobsleigh and sled stadium for the Beijing Winter Olympics is considered as an example; the proposed system realises the functions of the scene display of the operation status, danger warning and positioning, danger classification and level assessment, and danger handling suggestions.

scholarly journals Exploring Managerial Perspectives of Using Building Management System through TAM: An Empirical Study of Commercial Sector of Pakistan

2020 ◽  
Author(s):  
Ahsen Maqsoom ◽  
Jameel Ur Rehman ◽  
Muhammad Umer ◽  
Muhammad Jamaluddin Thaheem ◽  
Majid Jamal Khan ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Significant Influence ◽  
Management System ◽  
Smart Cities ◽  
Developed Countries ◽  
Subjective Norms ◽  
Building Management ◽  
Building Management System ◽  
The Developed Countries ◽  
Organization Support

A cursory review of the Building Management System (BMS) which optimizes building performance as a move towards smart cities has been presented in the present study. The extant study is an effort to distinguish and analyze the circumstances as if the underdeveloped economies are less likely to be benefitted by the contemporary trends of BMS as compare to the developed countries. Moreover, the current study identifies the factors which may cause to render the managerial acceptance for using BMS through the Technology Acceptance Model (TAM). TAM was used to measure four behaviors (latent factors) namely subjective norms, organization support, compatibility, and technology complexity. The data were statistically evaluated via multiple regression analysis using the Statistical Package for Social Sciences (SPSS). Results suggested that organization support and compatibility have a significant influence on managerial intentions to use BMS while subjective norms, technology complexity have no significant influence. The findings of this study may serve as guidelines for improvement in the acceptance process and using building management systems in commercial sectors of developing countries.

scholarly journals Intelligent Total Transportation Management System for Future Smart Cities

2020 ◽  
Vol 10 (24) ◽  
pp. 8933
Author(s):  
Dinh Dung Nguyen ◽  
József Rohács ◽  
Dániel Rohács ◽  
Anita Boros
Keyword(s):  
Public Transport ◽  
Management System ◽  
Optimization Problems ◽  
Smart Cities ◽  
System Optimization ◽  
Preliminary Evaluation ◽  
Total System ◽  
Sensors And Actuators ◽  
Total Energy Consumption ◽  
Transportation Management

Smart mobility and transportation, in general, are significant elements of smart cities, which account for more than 25% of the total energy consumption related to smart cities. Smart transportation has seven essential sections: leisure, private, public, business, freight, product distribution, and special transport. From the management point of view, transportation can be classified as passive or non-cooperating, semi-active or simple cooperating, active or cooperating, contract-based, and priority transportation. This approach can be applied to public transport and even to passengers of public transport. The transportation system can be widely observed, analyzed, and managed using an extensive distribution network of sensors and actuators integrated into an Internet of Things (IoT) system. The paper briefly discusses the benefits that the IoT can offer for smart city transportation management. It deals with the use of a hierarchical approach to total transportation management, namely, defines the concept, methodology, and required sub-model developments, which describes the total system optimization problems; gives the possible system and methodology of the total transportation management; and demonstrates the required sub-model developments by examples of car-following models, formation motion, obstacle avoidances, and the total management system implementation. It also introduces a preliminary evaluation of the proposed concept relative to the existing systems.

scholarly journals An IoT Based Intelligent Traffic Management System and Its Implementation on Cupcarbon for Smart Cities

2021 ◽  
Vol 9 (11) ◽  
pp. 1387-1394
Keyword(s):  
Traffic Management ◽  
Management System ◽  
Smart Cities ◽  
Simulation Environment ◽  
Traffic Light ◽  
Traffic Lights ◽  
Sensory Data ◽  
Test Operation ◽  
Traffic Management System ◽  
Alternate Routes

This paper proposes an internet of things (IoT) based intelligent traffic management system that can aid problematic traffic situations in smart cities by classifying congestions via sensory data, and then controlling traffic lights and creating alternate routes for incoming vehicles to the congested zones in order to relieve or avoid congestions completely. The proposed intelligent traffic management system consists of different subsystems such as Test Operation, Supervisory, Traffic Light, and Pathfinder subsystems. The system is represented by flowcharts with their explanations and its operation with some defined scenarios is validated with the CupCarbon simulation environment.

scholarly journals An IoT enabled Smart Garbage Management System for Smart Cities – Indian Scenario

2020 ◽  
Vol 9 (4) ◽  
pp. 2688-2692
Keyword(s):  
Waste Management ◽  
Management System ◽  
Large Scale ◽  
Smart Cities ◽  
Threshold Value ◽  
Ultrasonic Sensor ◽  
Rapid Urbanization ◽  
Fixed Threshold ◽  
Path Planner ◽  
Indian Scenario

With the ever increasing population and rapid urbanization, the challenge of efficient disposal is a bigger concern in a vast country like India. Numerous techniques and methods have been proposed by various authors but the implementation of the same has found very little patronage. The biggest challenge in waste management is the timely cleaning up of the community bins which are not happening leading to large scale pollution and degradation in the land structure. A novel smart garbage management system suitable for Indian conditions is proposed. The proposed scheme enables the civic body to schedule the clearing of all the bins in the locality by estimating a route map for the traversal. This drastically reduces the manpower, fuel and difficulty in navigation. The level of the waste is measured using the Ultrasonic Sensor. If the wastage level reaches a certain value., i.e. fixed threshold value, an SMS is send to the concerned authority and if the level of wastes is above 95% the call will be initiated to the municipal corporation. A path planner is developed which enables the traversal in the shortest possible route.

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