754 resources related to Smart Environment
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2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting
The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science
The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more
The 2019 IEEE International Conference on Communications (ICC) will be held from 20-24 May 2019 at Shanghai International Convention Center, China,conveniently located in the East Coast of China, the region home to many of the world’s largest ICT industries and research labs. Themed“Smart Communications”, this flagship conference of IEEE Communications Society will feature a comprehensive Technical Program including16 Symposia and a number of Tutorials and Workshops. IEEE ICC 2019 will also include an attractive Industry Forum & Exhibition Program featuringkeynote speakers, business and industry pan
With technically co-sponsored by IEEE ComSoc(Communications Society), IEEE ComSoc CISTC(Communications & Information Security Technical Community), and IEEE ComSoc ONTC(Optical Networking Technical Community), the ICACT(International Conference on Advanced Communications Technology) Conference has been providing an open forum for scholars, researchers, and engineers to the extensive exchange of information on newly emerging technologies, standards, services, and applications in the area of the advanced communications technology. The conference official language is English. All the presented papers have been published in the Conference Proceedings, and posted on the ICACT Website and IEEE Xplore Digital Library since 2004. The honorable ICACT Out-Standing Paper Award list has been posted on the IEEE Xplore Digital Library also, and all the Out-Standing papers are subjected to the invited paper of the "ICACT Transactions on the Advanced Communications Technology" Journal issued by GIRI
The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes
Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...
2007 International Conference on Control, Automation and Systems, 2007
This paper describes a new object recognition system for service robots in a smart environment full of RFID tags and connected by wireless networks. Object recognition is one of the basic functionalities a service robot should perform and many researchers have attempted to make the service robot recognize objects through vision processing in natural environments. However there is no conventional ...
2007 International Conference on Control, Automation and Systems, 2007
Autonomous navigation is one of primitive functionalities which service robots should have; nevertheless, the navigation problem for a service robot still has many difficulties because the real environment where service robots should works is so complex and dynamical. This paper proposes a framework of intelligent navigation for service robots based on a semantic map of the smart environment. In the ...
2011 International Conference on Computer Science and Service System (CSSS), 2011
Clustering is a good method to increase WSN lifetime and particularly for smart environment. In this paper, we present fuzzy position based routing for clustered sensor network. It is very useful for the smart environment applications of wireless sensor network without GPS support. The destinations could be located with ambiguous position vectors, and the long time and energy consumption of ...
2015 IEEE 12th International Conference on Networking, Sensing and Control, 2015
The spectrum congestion due to the static spectrum allocation scheme in wireless communication had been an issue for decade. Despite the rapid growth of wireless communications, the emerging of Internet of Things to transform everyday objects into smart objects which are capable to communicate with each other wirelessly in a smart environment have/had further increase the spectrum demand. In this ...
2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA), 2017
Air quality has been negatively affected by industrial activities, which have caused imbalances in nature. The issue of air pollution has become a big concern for many people, especially those living in industrial areas. Air pollution levels can be measured using smart sensors. Additionally, Internet of Things (IoT) technology can be integrated to remotely detect pollution without any human interaction. ...
Virginia Pilloni: iSapiens: A Platform for Social and Pervasive Smart Environments - Special Session on SIoT: WF-IoT 2016
Smart Fog In the Digital Workplace - Chris Fine at Fog World Congress 2018
Presentation of the Winner of IEEE Standard. Living Standards Award 2020
Designing Smart Building Environments: Exploring Careers in Engineering and Technology
IEEE Smart Grid World Forum - Klaus Kleinekorte
Performance, Environment, Actuators, Sensors (PEAS)
TechNews: Smart Cities Special Report
IEEE SMART GRID
Global Distribution Systems for the Smart Grid: Gordon Day
Smart Grid Vehicular Technology Vision: Possibility and Feasibility of Smart Community from Case Studies - Hiroaki Nishi
Cyber-Physical ICT for Smart Cities: Emerging Requirements in Control and Communications - Ryogo Kubo
Power Electronics for the Space Exploration Hype: APEC 2019
IEEE Smart Grid: Vision, Mission, Community
Human-Guided Video Data Collection in Marine Environnment
Smart Grid Success Story - Wanda Reder - Ignite: Sections Congress 2017
Global Impact of IEEE Standards on Smart Grid: Bill Ash
Jean-Francois Balcon, Cisco Smart+Connected Communities
IEEE Smart Village - Empowering Off-Grid Communities
Surgical Robotics: Shared research platforms and frameworks - da Vinci Research Kit Open Resource Environment
This paper describes a new object recognition system for service robots in a smart environment full of RFID tags and connected by wireless networks. Object recognition is one of the basic functionalities a service robot should perform and many researchers have attempted to make the service robot recognize objects through vision processing in natural environments. However there is no conventional vision system that can recognize target objects robustly in a real-world workspace. In our smart environment, flexibility and robustness in object recognition are provided with the help of RFID tags and communication networks. RFID tags provide the presence and identity information of the object and the robot can recognize the object through vision processing based on a detected RFID code and downloaded visual descriptor information. For feature descriptors, we adopted MPEG-7 visual descriptors due to its concise and unambiguous description of the complex media contents. This paper focuses on developing our object recognition engine based on visual descriptors information in the smart environment. To this end, we propose a new object recognition architecture for service robots, and present a implemented matching algorithm on the basis of MPEG-7 visual descriptors such as color and texture. Experimental results show that the proposed system works well with good performance in terms of recognition rate. This object recognition system will be incorporated into our service robot platform and a pose estimation module is to be included in the next version of our object recognition system.
Autonomous navigation is one of primitive functionalities which service robots should have; nevertheless, the navigation problem for a service robot still has many difficulties because the real environment where service robots should works is so complex and dynamical. This paper proposes a framework of intelligent navigation for service robots based on a semantic map of the smart environment. In the smart environment, the robot can receive his position information from location sensors by sensor networks, and it can eliminate the accumulated localization errors. So the robot can accomplish confidential localization in the dynamic and complex environment. With the topological information in the semantic map, path planning problem can be simple even in the wide and complex spaces, and topological path from semantic map can be divided into several sub goals. Robust navigation can be accomplished by moving towards these sub goals with reactive navigation algorithm which has robust characteristics in the dynamic environments. Our approaches have ascertained the good performance on the localization and the navigation, and the feasibility of these methods could be confirmed with the result of experiments in the real environment.
Clustering is a good method to increase WSN lifetime and particularly for smart environment. In this paper, we present fuzzy position based routing for clustered sensor network. It is very useful for the smart environment applications of wireless sensor network without GPS support. The destinations could be located with ambiguous position vectors, and the long time and energy consumption of requesting/replying for node ID in traditional routing of sensor-actor network is avoided. The results of simulation using SHAWN show that in the fuzzy position based routing, if the destination range is more precise, the average delay and energy consumption are more reduced.
The spectrum congestion due to the static spectrum allocation scheme in wireless communication had been an issue for decade. Despite the rapid growth of wireless communications, the emerging of Internet of Things to transform everyday objects into smart objects which are capable to communicate with each other wirelessly in a smart environment have/had further increase the spectrum demand. In this paper, cognitive sensor network had been proposed to handle the loophole in the spectrum intelligently via spectrum sensing. In order to achieve a reliable spectrum sensing, an optimization scheme with fast convergence speed has been employed to optimize the sensing performance. The parameters of differential evolution have been set for solving the optimization problem in spectrum sensing for cognitive sensor network. The spectrum sensing formulation in cognitive sensor network has been modeled in MATLAB, and the optimization has been simulated using the differential evolution algorithm. The simulation result has shown that optimization using differential evolution approach has significantly increased the sensing performance which is an essential criterion for CSN which comply of many smart sensors that connect to each other wirelessly.
Air quality has been negatively affected by industrial activities, which have caused imbalances in nature. The issue of air pollution has become a big concern for many people, especially those living in industrial areas. Air pollution levels can be measured using smart sensors. Additionally, Internet of Things (IoT) technology can be integrated to remotely detect pollution without any human interaction. The data gathered by such a system can be transmitted instantly to a web-based application to facilitate monitoring real time data and allow immediate risk management. In this paper, we describe an entire Internet of Things (IoT) system that monitors air pollution by collecting real-time data in specific locations. This data is analyzed and measured against a predetermined threshold. The collected data is sent to the concerned official organization to notify them in case of any violation so that they can take the necessary measures. Furthermore, if the value of the measured pollutants exceeds the threshold, an alarm system is triggered taking several actions to warn the surrounding people.
Today internet of things is a new revolution of the internet. A world where the real, digital and the virtual are converging to create smart environments that make energy, transport, cities and many other areas more intelligent. Different types of application like water monitoring, water pollution, air pollution, forest fire detection, smart homes, smart cities where each things can connect from anywhere to anyplace to make our life easier. This paper provide a broad overview on what is IOTS, different applications of IOTS, challenges and future scope of IOTS.
The paper presents the results of solving problems of navigation and motion control of earth-moving and construction machines in the package Matlab. The main goal of management is to form the parameters of the motion vector which reduce the time to reach your destination, fuel consumption, taking into account the actual traffic situation on the route. Restrictions are related to the depth and width of an earthen moat, density and composition of the soil, the prediction of changes in land-building environment. The paper also makes recommendations for the effective use of various methods of traffic control earth-moving and construction machines.
Time is an important aspect of all real world phenomena. In this paper, we present a temporal relations-based framework for discovering interesting patterns in smart environment datasets, and test this framework in the context of the CASAS smart environments project. Our use of temporal relations in the context of smart environment tasks is described and our methodology for mining such relations from raw sensor data is introduced. We demonstrate how the results are enhanced by identifying the number of individuals in an environment, and apply the resulting technologies to look for interesting patterns which play a vital role to predict activities and identify anomalies in a physical smart environment.
To operate actuators (e.g., robots) with a certain controller in smart environment, it requires some programming for connecting between them. However, such programming without any structure often causes the system with the lack of extensibility and flexibility. In this paper, we show an implementation of the programming framework, called Squarekno t, for connecting between controllers and actuators based on MAC (Mapping between Actuators and Controllers) model. It provides the modularized structure to add new actuators and controllers in the environment easily. It also gives flexibility in customizing the operability for the actuators with the con troller.
A decision support system intended to operate in a smart environment is proposed. The system enables context-sensitive self-organisation of resources to support needs of the environment occupants. The system implements technologies of context management, Web-services, and software agents. An example of action planning for responding to a traffic accident happened in a smart environment is used for illustration of the system proposed.
No standards are currently tagged "Smart Environment"