Submit Search
Upload
IRJET- Smart Building Automation using Internet of Things
•
0 likes
•
36 views
IRJET Journal
Follow
https://www.irjet.net/archives/V6/i4/IRJET-V6I4320.pdf
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 7
Download now
Download to read offline
Recommended
Smart_City
Smart_City
Priyanka Mallick
Cloud computing in Agriculture
Cloud computing in Agriculture
Ankita Solanki
Application of Cloud Computing in Aggriculture
Application of Cloud Computing in Aggriculture
Gowtham Chandra
Cloud computing and agriculture
Cloud computing and agriculture
Morteza Noorbakhsh
Irjet v4 i810Study on ICT, IoT and Big Data Analaytics in Smart City Applicat...
Irjet v4 i810Study on ICT, IoT and Big Data Analaytics in Smart City Applicat...
IRJET Journal
applications of cloud computing for agricultural sector
applications of cloud computing for agricultural sector
Swathi Rampur
IRJET- Architectural Modeling and Cybersecurity Analysis of Cyber-Physical Sy...
IRJET- Architectural Modeling and Cybersecurity Analysis of Cyber-Physical Sy...
IRJET Journal
IoT Enabled Smart Grid
IoT Enabled Smart Grid
ijsrd.com
Recommended
Smart_City
Smart_City
Priyanka Mallick
Cloud computing in Agriculture
Cloud computing in Agriculture
Ankita Solanki
Application of Cloud Computing in Aggriculture
Application of Cloud Computing in Aggriculture
Gowtham Chandra
Cloud computing and agriculture
Cloud computing and agriculture
Morteza Noorbakhsh
Irjet v4 i810Study on ICT, IoT and Big Data Analaytics in Smart City Applicat...
Irjet v4 i810Study on ICT, IoT and Big Data Analaytics in Smart City Applicat...
IRJET Journal
applications of cloud computing for agricultural sector
applications of cloud computing for agricultural sector
Swathi Rampur
IRJET- Architectural Modeling and Cybersecurity Analysis of Cyber-Physical Sy...
IRJET- Architectural Modeling and Cybersecurity Analysis of Cyber-Physical Sy...
IRJET Journal
IoT Enabled Smart Grid
IoT Enabled Smart Grid
ijsrd.com
IRJET-The Internet of Things Applications for Challenges and Related Future T...
IRJET-The Internet of Things Applications for Challenges and Related Future T...
IRJET Journal
IRJET- A Smart Medical Monitoring Systems using Cloud Computing and Internet ...
IRJET- A Smart Medical Monitoring Systems using Cloud Computing and Internet ...
IRJET Journal
AheadRace eLearning Module # 05 - Cloud Computing in Agriculture
AheadRace eLearning Module # 05 - Cloud Computing in Agriculture
Satyavardhan Reddy
INFRASTRUCTURE CONSOLIDATION FOR INTERCONNECTED SERVICES IN A SMART CITY USIN...
INFRASTRUCTURE CONSOLIDATION FOR INTERCONNECTED SERVICES IN A SMART CITY USIN...
csandit
Connected Products for the Industrial World
Connected Products for the Industrial World
Cognizant
Smart Technology: A Primer
Smart Technology: A Primer
ijtsrd
VET4SBO Level 1 module 3 - unit 3 - v0.9 en
VET4SBO Level 1 module 3 - unit 3 - v0.9 en
Karel Van Isacker
IRJET- Review on Applications Areas of Smart Cities
IRJET- Review on Applications Areas of Smart Cities
IRJET Journal
Integrating the IIoT with the digital twins for the drugs industry
Integrating the IIoT with the digital twins for the drugs industry
Aboul Ella Hassanien
SMART BUILDING
SMART BUILDING
IJERA Editor
Improving Energy Efficiency of Intelligent Buildings with Smart IoT Retrofits
Improving Energy Efficiency of Intelligent Buildings with Smart IoT Retrofits
Mark Benson
Manufacturing Technology Trends
Manufacturing Technology Trends
Alicia Nagel Creative, LLC
TheInternetofThings
TheInternetofThings
Kimmiegrif
Data Analytics using AOT: A Survey
Data Analytics using AOT: A Survey
IRJET Journal
Devices-Smart Electric Surveillance
Devices-Smart Electric Surveillance
ijtsrd
Reliability based analytical engine as a service for industrial applications...
Reliability based analytical engine as a service for industrial applications...
Mayur Dvivedi
Smart Buildings + Intelligent Solutions
Smart Buildings + Intelligent Solutions
Bob Sawhill, CFM
IRJET- Smart City: Overview and Security Challenges
IRJET- Smart City: Overview and Security Challenges
IRJET Journal
[IJET V2I3P5] Authors: Jamuna H G, Shobha Hugar
[IJET V2I3P5] Authors: Jamuna H G, Shobha Hugar
IJET - International Journal of Engineering and Techniques
Smarter Buildings
Smarter Buildings
IBM Danmark
IRJET- Internet of Things Technologies for Future of Smart Cities: Artificial...
IRJET- Internet of Things Technologies for Future of Smart Cities: Artificial...
IRJET Journal
IRJET - Energy Efficient Approach for Data Aggregation in IoT
IRJET - Energy Efficient Approach for Data Aggregation in IoT
IRJET Journal
More Related Content
What's hot
IRJET-The Internet of Things Applications for Challenges and Related Future T...
IRJET-The Internet of Things Applications for Challenges and Related Future T...
IRJET Journal
IRJET- A Smart Medical Monitoring Systems using Cloud Computing and Internet ...
IRJET- A Smart Medical Monitoring Systems using Cloud Computing and Internet ...
IRJET Journal
AheadRace eLearning Module # 05 - Cloud Computing in Agriculture
AheadRace eLearning Module # 05 - Cloud Computing in Agriculture
Satyavardhan Reddy
INFRASTRUCTURE CONSOLIDATION FOR INTERCONNECTED SERVICES IN A SMART CITY USIN...
INFRASTRUCTURE CONSOLIDATION FOR INTERCONNECTED SERVICES IN A SMART CITY USIN...
csandit
Connected Products for the Industrial World
Connected Products for the Industrial World
Cognizant
Smart Technology: A Primer
Smart Technology: A Primer
ijtsrd
VET4SBO Level 1 module 3 - unit 3 - v0.9 en
VET4SBO Level 1 module 3 - unit 3 - v0.9 en
Karel Van Isacker
IRJET- Review on Applications Areas of Smart Cities
IRJET- Review on Applications Areas of Smart Cities
IRJET Journal
Integrating the IIoT with the digital twins for the drugs industry
Integrating the IIoT with the digital twins for the drugs industry
Aboul Ella Hassanien
SMART BUILDING
SMART BUILDING
IJERA Editor
Improving Energy Efficiency of Intelligent Buildings with Smart IoT Retrofits
Improving Energy Efficiency of Intelligent Buildings with Smart IoT Retrofits
Mark Benson
Manufacturing Technology Trends
Manufacturing Technology Trends
Alicia Nagel Creative, LLC
TheInternetofThings
TheInternetofThings
Kimmiegrif
Data Analytics using AOT: A Survey
Data Analytics using AOT: A Survey
IRJET Journal
Devices-Smart Electric Surveillance
Devices-Smart Electric Surveillance
ijtsrd
Reliability based analytical engine as a service for industrial applications...
Reliability based analytical engine as a service for industrial applications...
Mayur Dvivedi
Smart Buildings + Intelligent Solutions
Smart Buildings + Intelligent Solutions
Bob Sawhill, CFM
IRJET- Smart City: Overview and Security Challenges
IRJET- Smart City: Overview and Security Challenges
IRJET Journal
[IJET V2I3P5] Authors: Jamuna H G, Shobha Hugar
[IJET V2I3P5] Authors: Jamuna H G, Shobha Hugar
IJET - International Journal of Engineering and Techniques
Smarter Buildings
Smarter Buildings
IBM Danmark
What's hot
(20)
IRJET-The Internet of Things Applications for Challenges and Related Future T...
IRJET-The Internet of Things Applications for Challenges and Related Future T...
IRJET- A Smart Medical Monitoring Systems using Cloud Computing and Internet ...
IRJET- A Smart Medical Monitoring Systems using Cloud Computing and Internet ...
AheadRace eLearning Module # 05 - Cloud Computing in Agriculture
AheadRace eLearning Module # 05 - Cloud Computing in Agriculture
INFRASTRUCTURE CONSOLIDATION FOR INTERCONNECTED SERVICES IN A SMART CITY USIN...
INFRASTRUCTURE CONSOLIDATION FOR INTERCONNECTED SERVICES IN A SMART CITY USIN...
Connected Products for the Industrial World
Connected Products for the Industrial World
Smart Technology: A Primer
Smart Technology: A Primer
VET4SBO Level 1 module 3 - unit 3 - v0.9 en
VET4SBO Level 1 module 3 - unit 3 - v0.9 en
IRJET- Review on Applications Areas of Smart Cities
IRJET- Review on Applications Areas of Smart Cities
Integrating the IIoT with the digital twins for the drugs industry
Integrating the IIoT with the digital twins for the drugs industry
SMART BUILDING
SMART BUILDING
Improving Energy Efficiency of Intelligent Buildings with Smart IoT Retrofits
Improving Energy Efficiency of Intelligent Buildings with Smart IoT Retrofits
Manufacturing Technology Trends
Manufacturing Technology Trends
TheInternetofThings
TheInternetofThings
Data Analytics using AOT: A Survey
Data Analytics using AOT: A Survey
Devices-Smart Electric Surveillance
Devices-Smart Electric Surveillance
Reliability based analytical engine as a service for industrial applications...
Reliability based analytical engine as a service for industrial applications...
Smart Buildings + Intelligent Solutions
Smart Buildings + Intelligent Solutions
IRJET- Smart City: Overview and Security Challenges
IRJET- Smart City: Overview and Security Challenges
[IJET V2I3P5] Authors: Jamuna H G, Shobha Hugar
[IJET V2I3P5] Authors: Jamuna H G, Shobha Hugar
Smarter Buildings
Smarter Buildings
Similar to IRJET- Smart Building Automation using Internet of Things
IRJET- Internet of Things Technologies for Future of Smart Cities: Artificial...
IRJET- Internet of Things Technologies for Future of Smart Cities: Artificial...
IRJET Journal
IRJET - Energy Efficient Approach for Data Aggregation in IoT
IRJET - Energy Efficient Approach for Data Aggregation in IoT
IRJET Journal
IRJET- Smart Home Application using Internet of Things
IRJET- Smart Home Application using Internet of Things
IRJET Journal
Green Computing for Internet of Things: Energy Efficient and Delay-Guaranteed...
Green Computing for Internet of Things: Energy Efficient and Delay-Guaranteed...
IRJET Journal
INFRASTRUCTURE CONSOLIDATION FOR INTERCONNECTED SERVICES IN A SMART CITY USIN...
INFRASTRUCTURE CONSOLIDATION FOR INTERCONNECTED SERVICES IN A SMART CITY USIN...
cscpconf
Revue de presse IoT / Data du 26/03/2017
Revue de presse IoT / Data du 26/03/2017
Romain Bochet
IRJET- Exploring the Nuances of Internet of Things in Health Care Assisting S...
IRJET- Exploring the Nuances of Internet of Things in Health Care Assisting S...
IRJET Journal
Green Computing for Internet of Things
Green Computing for Internet of Things
IRJET Journal
IRJET - IoT in Real World
IRJET - IoT in Real World
IRJET Journal
ROLE OF AI IN SMART CITIES
ROLE OF AI IN SMART CITIES
IRJET Journal
IRJET- Energy Consumption and Monitoring System using IoT
IRJET- Energy Consumption and Monitoring System using IoT
IRJET Journal
A Review: The Internet of Things Using Fog Computing
A Review: The Internet of Things Using Fog Computing
IRJET Journal
E-Toll Payment Using Azure Cloud
E-Toll Payment Using Azure Cloud
IRJET Journal
Effect of Mixing and Compaction Temperatures on the Indirect Tensile Strength...
Effect of Mixing and Compaction Temperatures on the Indirect Tensile Strength...
IRJET Journal
IRJET- Review on Design of Residential IoT based Smart Energy Meters
IRJET- Review on Design of Residential IoT based Smart Energy Meters
IRJET Journal
2007.13714
2007.13714
mustafa saad
Fog computing scheduling algorithm for smart city
Fog computing scheduling algorithm for smart city
IJECEIAES
M68 the digitisation of qatar
M68 the digitisation of qatar
Ahmed Khalifa
IRJET - IoT based Energy Monitoring System for Energy Conservation
IRJET - IoT based Energy Monitoring System for Energy Conservation
IRJET Journal
IRJET- Study of IoT in Energy Industry
IRJET- Study of IoT in Energy Industry
IRJET Journal
Similar to IRJET- Smart Building Automation using Internet of Things
(20)
IRJET- Internet of Things Technologies for Future of Smart Cities: Artificial...
IRJET- Internet of Things Technologies for Future of Smart Cities: Artificial...
IRJET - Energy Efficient Approach for Data Aggregation in IoT
IRJET - Energy Efficient Approach for Data Aggregation in IoT
IRJET- Smart Home Application using Internet of Things
IRJET- Smart Home Application using Internet of Things
Green Computing for Internet of Things: Energy Efficient and Delay-Guaranteed...
Green Computing for Internet of Things: Energy Efficient and Delay-Guaranteed...
INFRASTRUCTURE CONSOLIDATION FOR INTERCONNECTED SERVICES IN A SMART CITY USIN...
INFRASTRUCTURE CONSOLIDATION FOR INTERCONNECTED SERVICES IN A SMART CITY USIN...
Revue de presse IoT / Data du 26/03/2017
Revue de presse IoT / Data du 26/03/2017
IRJET- Exploring the Nuances of Internet of Things in Health Care Assisting S...
IRJET- Exploring the Nuances of Internet of Things in Health Care Assisting S...
Green Computing for Internet of Things
Green Computing for Internet of Things
IRJET - IoT in Real World
IRJET - IoT in Real World
ROLE OF AI IN SMART CITIES
ROLE OF AI IN SMART CITIES
IRJET- Energy Consumption and Monitoring System using IoT
IRJET- Energy Consumption and Monitoring System using IoT
A Review: The Internet of Things Using Fog Computing
A Review: The Internet of Things Using Fog Computing
E-Toll Payment Using Azure Cloud
E-Toll Payment Using Azure Cloud
Effect of Mixing and Compaction Temperatures on the Indirect Tensile Strength...
Effect of Mixing and Compaction Temperatures on the Indirect Tensile Strength...
IRJET- Review on Design of Residential IoT based Smart Energy Meters
IRJET- Review on Design of Residential IoT based Smart Energy Meters
2007.13714
2007.13714
Fog computing scheduling algorithm for smart city
Fog computing scheduling algorithm for smart city
M68 the digitisation of qatar
M68 the digitisation of qatar
IRJET - IoT based Energy Monitoring System for Energy Conservation
IRJET - IoT based Energy Monitoring System for Energy Conservation
IRJET- Study of IoT in Energy Industry
IRJET- Study of IoT in Energy Industry
More from IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
More from IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
React based fullstack edtech web application
React based fullstack edtech web application
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Recently uploaded
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
Suhani Kapoor
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
upamatechverse
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
SIVASHANKAR N
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
Tsuyoshi Horigome
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Suman Mia
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
ranjana rawat
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
ranjana rawat
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
ranjana rawat
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
rehmti665
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
ranjana rawat
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Dr.Costas Sachpazis
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
KurinjimalarL3
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
NikhilNagaraju
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
RajkumarAkumalla
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
null - The Open Security Community
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
Soham Mondal
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
purnimasatapathy1234
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
upamatechverse
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
Recently uploaded
(20)
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
IRJET- Smart Building Automation using Internet of Things
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1504 SMART BUILDING AUTOMATION USING INTERNET OF THINGS M. Murali, Anirudh Ramasami, Surya Varanasi Computer ScienceEngineering Department, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India -----------------------------------------------------------------------***------------------------------------------------------------------------ Abstract - In modern years, the field of Information and Communication Technology has mainly focused on the Internet of Things (IoT). IoT based services improve the environment in many applications. Home automation based IoT one such versatile and popular application. The application domain of Urban IoT systems like Smart City's whose objective is to take benefit of the current communication technologies in order to provide the best services. One important element of Smart Cities is the Smart Buildings. This, Smart Building, a new concept where the building gains from the improvement of communication and automation technologies, creating an environment with more efficiently use the available resources. For commercial structures such as factories or shoppingcenters, the transition to smart buildings is essential for growth. Thiswill help the organizations to save a large amount of money because of better efficiency as well as improved overall building operation. The IoT has created an entry to assist in the management of such buildings. Sensible Buildings and sensible cities region unit ceaselessly remodeling activities meted out by folks on each day. Smart cities will soon emerge with services such as temperature management, water management, disaster management, machine failure management, lighting facilities which in turn is connected to the internet/cloud facilities. In today's comparison, some cities have started enforcing this kind of smart managementapproachbyconjunctingeverythingabout the community to the internet. Along with energy conservation, smart buildings aids to save money. Here are some of the largest IoT smart building modules likely to be introduced in this paper. 1.Predictive maintenance 2.Disaster Management 3.Temperature adjusting wrt Environment 4.Smart Water Management (Plumbing). Index Terms— Smart City, Internet of Things, Arduino UNO, Smart Building, Cloud Computing, Cox Model, Dobrovolsky, EPANET, Hysteresis, PID. 1. INTRODUCTION ADVANCES in mobile computing and the growth in Internet applications will ground to the development of internet services for future generations, that is ubiquitous and pervasive. With considerable progress in pervasivecomputing fields, networking technologies, and the boost in applications related to the Internet and their services have led to the development of the Internet & its services for future generations. Internet in the coming generations, like IoT, will connect not only computers devices but also interconnect cities,homes, gas, buildings, electrical grids and water networks making them smart and accessible. This IoT services will be an excellent development for smart Building revolutionizing the way it works,maintain the living standards, education development like smart - classes, and better ways to secure and protect data. We can provide efficient services in ways where the Cyber-physical systems are used in environments i.e integrated part of the IoT system. Such systems read sensor data from the physical environment, processesthe information, and sends the appropriate instructions to a wide range of actuators or effectors tochangethe physical environment. According to the given definition, a Smart Building can be seen as a diverse interconnection of Cyber-physical systems. Automationofbuildingsand adaptivecontrol functionality are considered as the future of upcoming buildings that must be allocated in Smart Cities. Smart Buildings(also called SB) links automation, information technology, security, industrial controllers and communications to achieve a feasible level of comfort and energy consumption. Presence of different range of users and varying environmental factors, the computational power needed to operate an SB is equivalent to the power that is consumed in large data centers. In order to avoid the construction of data or operation centers, different entities in the Smart Buildings can be used. Cloud Computing (also called Internet Computing)isa set of resources and services available to use through the internet. The goal of Cloud Computing is the sharing of operating systems, applications, storage, data, and processing capacity among different users. PLX-DAQ is a Parallax microcontroller data acquisition add-on tool for Microsoft Excel. Any of our microcontrollers connectedto any sensor and the serial port of a PC can now send data directly into Excel. PLX-DAQ has the following features: Plot or graph data as it arrives in real-timeusingMicrosoft Excel. The framework evaluated using the Arduino integrated development environment as a local controller for all the managed/monitored elements and Local Cloud Services to provide the whole system with computational power.
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1505 2. BACKGROUND A. INTERNET Of THINGS The development of IoT has efficiently interconnected devices to other such available platforms andalsotheintegration ofthe physical world with information space. Increasingly researchers pay attention to applications of global service in different industries combined with web service (such as Cloud Computing), and other such related techniques. Although IoT has no such of a clear definition or correct flow architecture, it has served in application backgrounds: smart homes, Could abed Virtual intelligent assistant, smart cities, smart business, medical-care faculties, environmental observing, and security and surveillance just to mention few of them [8].In this scope, our Smart Buildings require architectures that can deal with large amounts of different kinds of information, big data, etc. and perform computation by making use of advanced data processing techniques, all of this sustained by communication standards and Internet Protocols B. SMART CITY Urban IoT aimed at the concept of Smart Cities, with its main objective being to bring out the maximum goodness and advantages of communication technologies and advanced control so as to serve high-quality purposes. One such important goal in our concept is to set up a well-integrated environment for every available physical resource that is used in the city's development and also management applications. The deployment of smart city technologies leads to the improved utilization of resources and rapid advancement in global information services, of both human and nature, and also effective management of those resources when a crisis situation arises regardless of nature of trigger. This triggercan be nature such as earthquakes, tsunami, etc, terrorism or war- zones, failures or human errors. Fig. 1.The generic structure of Smart city. The above figure shows a general smart city generic architecture where all resources, services, and organizations are interconnected to create a citywide, closed-loop control system. Cities occupy 2% of the total Earth's region and yet, they bring forth around 70% of greenhouse gas emissions [10]. More than 70% of these emissions come from buildings. Most of the current buildings ingest energy without any feedback with the outside world. This leads to a waste of energy if we consider that as much as 20% of the total power issued to the grid is used for only 1/20th of the time [10]. Waste in electric energy (many other Cities' resources) could be prevented by enabling automatic and efficient communication between buildingsandservicesproviders. Apparently, the current structure must be upgraded to Smart Buildings that can exchange feedback and status with the Smart City in order to optimize the use of available resources, especially energy. C. SMART BUILDING A Smart Building is a facility whose characteristicsmodify with time. SB can react to the internal and/or external environment changes without human interactioninorder to provide comfort to the residents and while taking into consideration financial andenergeticperspectives[11].SB combines real-time observing with event management and data analytics to help managers to optimize the available resources, and enhance reliability.[12]. Some of the main characteristics of Smart Buildings are [12]: They improve reliability and performance to reduce energy consumption. Lower maintenance and management are needed, as a consequence, operating costs are reduced. Captured data can be used to perform energy analytics. All the metrics can be collectedin a repositoryfor future analysis. Real-time events can be centralized for consolidation, correlation or to initiate certain action when a service is requested. Anomalies can be detected by applyinganalytical rules. Analyze historical data to identify trends and perform corrective actions. Create scenarios to perform context awareness. In order to handle all the described characteristics, Smart Buildings need to have high computational power. Thiscomputationalpowercanprevailfromadatacenterin
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1506 the same facility but, if the SB is intended to be part of the IoT, its information must be accessible from everywhere. Hence a higher level of computing services is needed. The best option seems to be Cloud Computing since it is reliable and available from anywhere. WORKING PRINCIPLE To attain our proposed system need to use Arduino Uno controller to monitor the environment of the building. In this temperature sensor is used to monitor the inside and outside building of the temperature and automatically turns on the load depends on the two temperature sensors. Water sensor used to find the water leakage in the pipeline. The vibration sensor is used to find the earthquake level. IR sensor is used to find the fan rotating speed level. This sensors data will update into the cloud using IoT module. GSM is used to send the emergency message. FIG.2. Block Diagram of the Smart Building Automation. 3. DOMAINS The application domain of Internet of Things systems has the current technologies to provide the best services. One important element of Smart Cities is the Smart Building. Smart Building (also called SB) is a new concept where the building gains from the evolution of automation technologies to make over smart environments that are more efficient in of the available resourcesand much more secure.Suchsmartsystems are complex, dynamic and heterogeneous. Fig.3.Architectural Diagram of the modules of SB The above figure shows the architectural diagram of the model that has been projected. Thus, Smart Building(also called SB) needs more and can be obtained by using cloud computing. We also have evaluated and validated our approach by applying our framework which is intended to be a Smart Building integrated to the Internet of Things. We also introduced modules that enhance the automation of the building to a new level. For Predictive maintenance a DC motor and an IR sensor is used, Disaster Management(Earthquake Early Warning System) vibration sensor is used but piezo sensor can be installed in the shafts of the buildings to detect seismic wave vibration, Water Management uses a watersensorto find leakage in the pipelines and a water distribution network stimulation is done through EPANET, Temperature w.r.t Environment uses two temperature sensor (one to detect the internal temperature and the other to detect the external temperature). A. PREDICTIVE MAINTENANCE Predictive maintenance is nothing but analyzing machine failure before the actual failure with thehelpofIoT.It uses hardware and sensors devices to account on the state of the building using IoT. The time for the maintenance tobe performed is provided. Unexpected problemsthatusually crop up with preventive maintenance can also be overcome using predictive maintenance. Predictive maintenance makes it challenging for commercial and industrial activities since it is performed to keep the environment running.
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1507 Fig.4. Architecture Diag. for Predict. maintenance The above diagram is the architecture for predictive maintenance. In this paper, we have designed a model circuit that consists of an IR sensor and a DC motor( like thatofa Fan). When the power supply is been provided then the DC motor which is actually a fan starts to rotate, the rotation per minute can be recorded with the IR sensor. When there is no disturbance in the IR sensor the sensor shows an output of 0. But if a disturbance is been noted then an analog output of 1 is recorded. This output of 1 is initialized as a counter that suggests the no. of times the edges of the fan cuts the IR sensor. If the fan is under normal working condition then the counts have been recorded to be above 12,000, andthefanisdamaged due to wear and tear or it needs any maintenance then the count is below 10,000. We also did the experiment with a couple of fans, with keeping the voltage constant of 12V. The recordings have been created in a dataset using PLX-DAQ and COX- regression model has been used to find the lifespan ofthe fan since it is a lifespan analysis model. The Lifespan Analysis model determines, device's remaining lifespan when functioning. Depending on the circuit/device, lifespan can also be calculated in miles, hours, stress cycles, or any other metric unit. In many cases where the time to an event (such as a failure) is to be predicted, the Cox Regression technique is suited. Cox Regression can also take potential influencefactors into account and fine-tuneits failureestimatesaccordingly.The plot of Cox regression is done using Kaplan Meier and Cox proportional hazards model. The shapeofthesurvival function and the regression coefficients for the predictorsareestimated from observed subjects; the model can then be applied to new cases that have measurements for the predictor variables. For Cox Regression analysis we can use R package named survival analysis. Using linear regression the accuracy of the dataset turns out to be about 77%. Software such as Weka tool and programs such as RapidMine permits one tosimplygotwindof processes to accomplish all 3 steps in an exceedingly sturdy manner. But we used R programming to predicttheaccuracyof the algorithm proposed. Fig.5. Linear Regression model for predictive maintenance B. DISASTER MANAGEMENT Disaster Management is one of the major concern in today's world. In this paper, we propose a system thatcan be used to predict an earthquake beforehand. Figz.5.ArchitecturalzDiag.zforzDisasterManagemet Thezabovezfigurezshowszthezarchitecturalzdiagramzofzd isasterzmanagement. In this circuit, a vibration sensor is been used to sense the disturbance in the surrounding. If no vibration is sensed then the circuit given an outputof 0 and if there is a vibration that is been sensed then the circuit gives an output of 1.This is helpful in determining high-frequency vibration which will trigger when the s waves is detected by the earthquake sensor placed at the foundation of the building i.e near a steel shaft. When a p wave has been detected by the earthquake sensor, then the circuit sends an alarm message to the public of that locality like that of the Early Earthquake Warning System and waits for the next s waves to be detected by the earthquake sensor. According to analysis, it has been said that w.r.t the epicenter of the earthquake the periodic timing for the p wave to occur will take utmost10seconds
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1508 to reach the earthquakepreparationzone.Electrical dampingis one of the major limitations and is limited by a shunt resistor. Fig.6.Determining sensing of epicenter region The earthquake preparation zone is calculated with thehelpof the vibration circuit. Earthquake parameter can be predicted with the precursor anomaly, one of such is the emission of radon in the atmosphere which ultimately results intochanges in the electron and ion density in the atmosphere even the atmosphere magnetism gets affected. Using the vibration sensor the area of the earthquake distribution is recorded and the epicenter distance from a particular point is calculated. This can be also done with the help of seismograph when the p waves and s waves are recorded in the working station after the earthquake has occurred. The lag time between the waves with giving the epicenter but in this proposed model, we sense the area prone the earthquake andthe radiusofthe earthquake w.r.t epicenter is calculated.AccordingtoDobrovolskyformula, the relation between the radius of the affected region will give us the estimated magnitude of the earthquake in that region: R=10 0.414M-1.696, where R is the radius of the earthquake preparation zone and M is the magnitude of the earthquake. Earthquake anomaly can range from regular one to an abnormal one such as electron and ion density, electron temperature, total electron content, electric and magnetic field and land surface temperature several days before the actual earthquake. The suitable behavior for considering the earthquake can be about 45 days. Sothedateforimpendingthe earthquake is calculated based on M + IQR, where M is the median and IQR is the inter-quartile range of the predicted value of the earthquake date of the precursors. C. WATER MANAGEMENT SYSTEM The rise in technology has counted software developments and consumer electronics engineering goods to have initiated the Internet of Things (IoT). IoT may be an assortment of objects that put a job together so as to serve tasks during a united manner. This binds process power to conveyknowledge concerning encircling environments.Thedevicesareinthetype of tailored sensors, appliances and knowledge analysis microchips. In our project, the configuration of water sensors determines the leakage of water in the pipeline. The detector sends out the water and transfers the data into the screen LCD. A Cloud server is deployed to host the water knowledge analytical internal representation that looks after the whole water observance & inspection system. It collects the observation(water observing) knowledge advancing by the entries and stores this information for analytic, afterward, it can be displayed in the web-based dashboard. Data assortment is organized with the help of PLX-DAQ, for a week in the web dashboard. There are many leak detection methods like steady state method(hydrostatic leak detection method), pressure flow deviation method, Acoustics, and vibration technique. Each water sensor is provided with an ID so that it becomes easier for the end usertoidentifytheexact pipeline in the water distribution system, where the leakage has occurred and maintenance needed. Sometimes the water leakage is tiny that it becomes unpredictable using watersensor,thenthevariationinthe water flow and pressure difference is added as a parameter to analyze the leakage. Fig.7.Architecture Diag. for Smart Water System The above figure shows the architectural diagram of Smart Water management with a water sensor. With the dataset been created and a web-baseddashboardupdated the values, it is necessary to predict the leakage in the building where the leakage has exactly occurred. EPANAET is the water distributionsoftwarethatisusedto build the water distribution system/network of the building. Network parameter such as a number of nodes, pipe ID and pipes are used to suggest the leakage in the pipeline. The below diagram suggest the water distribution system of SRM Campus with its base demand and flow rate mentioned for every pipeline.When the source of the water distribution system, pipelines with id, tanks, pumps,reservoir are mention in the schematicmap then many parameter can be evaluated with this consideration.
6.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1509 Fig.8. Map of SRM Campus water distribution system D. TEMPERATURE ADJUSTING W.R.T ENVIRONMENT For the development of effective management improvement methods to manage residential electricity consumption in an extremely good grid setting, prognostic algorithms are required that are straightforward to execute, minimizecustom configuration, and result in sufficient accuracy to modify important management selections. The top two biggest consumers of electricity in an exceedinglytypical residenceare heating and air-conditioning(A/C). A self-learning algorithmic rule for predicting indoor, i.e, the temperature within any four walls(enclosed like a room) changes springs employing a first- order lumped capacitance technique. The algorithmic rule is developed in much the way that key style details like size and shape of the window, thermal insulation property, and air- tightness that have an effect on heat loss and star heat gain are combined into the parameter, which has good sensitivity or effectiveness, which will be learned from observation. This removes the requirement for custom configuration for every residence. With the use of experimental data, it can be made evident that an effective overall heat transfer coefficient and thermal time constant for the house can be comprehended from a single night-time temperature deterioration test, I.e, temperature decaying test. It was undeniable that an efficient star heat gain constant is learned while not information of the window space and orientation by application ofa self-learning, sliding-window algorithmic rule that accountsfor variationsin the climate or seasons and see-sawing in daily forecasts. Fig.8.Architecture Diagram for Temperature Adjusting System w.r.t Environment The above figure is the architectural diagram of the temperature adjusting system. In this system, two temperature sensors have been installed to calculate the difference in the temperature and run or shut down the AC when the threshold temperature is attained. The ensuing algorithmic rule is shown to be ready to predict indoor temperatures for a one-day time horizon employing a star irradiance and out of doors temperature forecast, and management selections for operating a heat pump. Hysteresis algorithm can be used in smart heating. With this algorithmic rule, once the distinction between the set-point and space temperatures is at intervals a given sensitivity threshold, the Thermostat assumes the set-point temperature has been reached. You can modify the physical phenomenon algorithmic rule sensitivity threshold within the Thermostat's advanced settings. If you employ smaller thresholds (0.1 °C), the Thermostatis going to be a lot of awake to space and set-point temperature changes. With larger thresholds, the Thermostat is going to be a lot of tolerant to variations in these temperatures and can switch the heating on and off less usually. 4. CONCLUSIONS In our very paper, a framework to integrate a Smart Building to the Internet of Thingshasbeenintroduced.Our framework uses Cloud Computing capabilities to provide with computational power to the same time, save energy. The framework was tested in a real scenario, having good feedback in terms of communication from the cloud and from the building itself. Local rules were applied to test real-time scenarios where the communication is compromised. The local rules were able to handle
7.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1510 situations where the integrity of people (and thebuildingitself) is compromised. Usage of IoT experiences a big challenge to guaranteed and defend such systems, due mainly to the increased footprint of the attack surface, the consequence of large-scale implementations of this kind of systems. It is critically important to focus greaterattentiononsecuringinfrastructures against cyber- attacks. These challenges are addressedthrough powerful research in securing and defending infrastructures and their services using Intrusion Detection systems and resilient techniques. It is essential to comment that our current approach and proposed framework, build the basis for future developments that could, using cloud computing, facilitate the implementation of systems for securing and enabling the personalization of spaces inside speakers, using heuristics and intelligent algorithms implemented in distributed environments, as well as allowing doing Big Data analysis. The tendency is to create a smart world where all devices share their resources. Our job is to make our cities much more secure and resilient against threats, and the obvious way to do so is by protecting our infrastructures from the very beginning REFERENCES 1) Andrea Z., Nicola B., Angelo C., Lorenzo V.,andMichele Z., “Internet of Things for Smart Cities”, IEEE Internet of Things Journal, vol. 1, no. 1, February 2014. 2) Banerjee, A., Venkatasubramanian,K.K.,Mukherjee,T., Gupta, S., “Ensuring Safety,Security,andSustainability of Mission-Critical Cyber-Physical Systems”, Proceedings of the IEEE,Volume:100,Issue:1,October 2011. 3) Buckman, A., Mayfield S, M. Beck, B. M.“Whatisa Smart Building?”, Smart and sustainable built Environment, Vol.3 Iss 2 pp. 92 – 109, 2014. 4) Wang, Z., Wang, L., Dounis, A. I., Yang, R., “Multi-agent control system with information fusionbasedcomfort model for smart buildings”AppliedEnergy,Volume99, pp. 247-254, 2012. 5) M. Sadiku, S. Musa, O. Momoh, “Cloud Computing: Opportunities and Challenges”, Potentials, IEEE (Volume: 33, Issue: 1), February 2014. 6) Tao F., Cheng Y., Xu L., Zhang L., Li B., "CCI-CMfg:Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System”, IEEE Transactionson Industrial Informatics, (Volume: 10, Issue: 2), February 2014. 7) Miorandi, S. Sicari, F. De Pellegrini, and I. Chlamtac, “InternetofThings:Vision,applications and research challenges” Ad Hoc Networks vol. 10, no. 7, pp. 1497–1516, 2012. 8) Palattella, M., Accettura, N., Vilajosana, X., Watteyne, T., Grieco, L.A., Boggia, G., Dohler, M., “Standardized Protocol Stack for the Internet of (Important) Things”, Communications Surveys& Tutorials, IEEE (Volume:15 , Issue: 3 ), December 2012. 9) Morvaj, B., Lugaric, L., Kranjcar, S., “Demonstrating smart buildings and smart grid features in a smart energy city”,3rdInternational Youth Conference on Energetics(IYCE), Proceedings of 2011. 10) Eun-Kyu Lee, Peter Chu, and Rajit Gadh, “Fine- Grained Access to Smart Building Energy Resources”, IEEE Internet Computing, 2013. 11) Jiong J., J. Gubbi, Slaven M., and Palaniswami M., “An Information Framework for Creatinga Smart City Through Internet of Things”,IEEEInternetof Things Journal, VOL. 1, NO. 2, April 2014. 12) Tao F., Zuo Y., Li D. X., and Zhang L., “IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing”, IEEE transactions on industrial informatics, vol. 10, no. 2, February 2014. 13) Abdullahi A., “Privacy-aware IoT Cloud Survivability for Future Connected Home Ecosystem”, IEEE/ACS 11th International Conference on Computer Systems and Applications(AICCSA), 2014. 14) Obermeier, S., Wahler, M.,Sivanthi,T.,Schlegel,R., Monot, A., “Automatic attack surface reduction in next-generation industrial control systems",IEEE Symposium on Computational Intelligence in Cyber Security(CICS), Orlando, Florida, 2014.
Download now