The smart grid is having huge architecture it includes various stakeholders that encounter challenges in the name of authorisation and authentication . The smart grid has another important issue to deal with that is securing the communication from varieties of cyber-attacks . In this paper , we first discussed about the challenges in the smart grid data communication and later we surveyed the existing cryptographic algorithm and presented comparative work on certain factors for existing working cryptographic algorithms This work gives insight conclusion to improve the working scheme for data security and Privacy preservation of customer who is one of the stack holders . We also show that the theoretical results are the natural extension of the analysis for static potential games . We apply the analysis and provide numerical methods to solve four example problems , with different features each : i ) energy demand control in a smart-grid network ; ii ) network flow optimization in which the relays have bounded link capacity and limited battery life ; iii ) uplink multiple access communication with users that have to optimize the use of their batteries ; and iv ) two optimal scheduling games with time-varying channels . Automation of the distribution system may be an essential requirement in the smart grid architecture . In this paper , the architecture of the distribution system has been proposed , where Phasor Meas ... In smart grid architecture , it is important to monitor from the control centre , consumers demand , voltage , frequency and power factor accurately , on regular basis . This may become possible with installation of smart meters , which records these variables and sends them to Central Data Collection System through fast satellite communication link . Energy Management systems have become an essential part of the new Smart Grid concept . In this context , wireless sensor network are established as one of the more flexible solutions for monitoring and control in home environments . The smart grid concept is a key issue in the future power systems , namely at the distribution level , with deep concerns in the operation and planning of these systems . Several advantages and benefits for both technical and economic operation of the power system and of the electricity markets are recognized . Revolutionary changes are however not expected in power transmission and distribution system but improvement through continued evolution can greatly reduce the effects like blackout 2003 . Distribution system provides major opportunities for smart grid concept . Public policies involving global climate change initiatives , reductions in CO2 and other polluting emissions , and incentives for renewable energy will increase issues related to the distribution system . In order to comprehend this radical change we present and analyze recent , well documented attacks that target mission critical IAC systems , which incorporate Industrial IoT technologies . In particular , we focus on highly profiled , sophisticated attacks against interconnected automation and monitoring field devices , related software platforms and systems ( e.g. , Programmable Logical Controllers – PLCs , industrial robots ) installed on industrial facilities and smart grid generation , transmission and distribution networks and systems . Energy systems are in transition towards more sustainable generation portfolios . In the envisioned smart grid generation will primarily depend on renewable power sources making uncertain quantities of electricity available , the delivery of which can not be guaranteed . Current electricity tariffs promise certain delivery , and are thus not well-suited to trade uncertain quantities . The Smart Grid is a movement to bring the electrical power grid up to date so it can meet the current and future requirement so fits customers . Nuclear power plant is a part of smart grid generation system . The problem of safe interaction between nuclear power plant and power grid considering the Fukushima nuclear accident is becoming topical . A qualitative content analysis in which data ( the academic papers ) are coded in preparation for comparison and interpretation is chosen to find the similarities and differences of smart grid development in different national contexts . Trough a comparative analysis of the smart grid development in USA , Europe and China , this paper conducts a transferable framework of smart grid solution with global and local features . This paper describes the extended algorithm for Voltage VAr control ( VVC ) which takes into account operational costs , flexible loads , batteries and demand management in smart grid solution . This algorithm shows how commercial and electrical conditions are taken into consideration and discusses related optimization issues . However , security issues are still currently challenging in smart grid . In this paper , aiming at tackle the security issue of power consumption data , we propose a new Ciphertext Policy Attribute-based Encryption ( CP-ABE ) scheme with revocation for the fog- based smart grid system . Specifically , in order to achieve attribute revocation without requiring users to be always online , we divide users ' attributes into attribute groups , assign an attribute group key to each group , and selectively distribute group key update messages . Big data analytics are advanced statistical and predictive analytic methods which are capable of manipulating data in a range of Exabytes and more . This paper presents a review of the applications of the Internet of Everything and the machine learning techniques in the fields of health , smart electrical grid , and supply chain management . A review of the literature has been conducted to demonstrate the future issues and challenges that researchers will face . This paper introduces the basic concept and characteristics of big data and smart grid , and the key technology of large data acquisition and data fusion technology , protocol technology , data display technology three aspects of big data technology in smart grid application are discussed , and an overview of big data grid applications can face in intellectual challenges . 1 THE RELATIONSHIP BETWEEN BIG DATA AND SMART GRID Smart grid is the direction and development trend of the power industry . Smart grid is a new power grid based on the physical grid , which is highly 1 Haike Liu , Yubao Ren , Lulu Wang , Yuanyuan Xu , State Grid of China Technology College , Second Ring Road No. 500 Aiming at combining the KNoT capability of integrating a plethora of devices with the high-level abstractions provided by the FIWARE platform , this paper presents the KNoT-FI environment . It integrates KNoT and FIWARE towards easing the development of IoT applications and seamlessly using capabilities of devices with or without native Internet connection through the FIWARE advanced interfaces . This paper also presents a validation of KNoT-FI in the development of a real-world application that automatically manages lighting , temperature , and ambient sound in smart buildings . In this paper , we propose a semantic framework that integrates the IoT with machine learning for smart cities . The proposed framework retrieves and models urban data for certain kinds of IoT applications based on semantic and machine-learning technologies . Moreover , we propose two case studies : pollution detection from vehicles and traffic pattern detection . The finalized antenna has a peak gain of −0.256 dBi ( measured ) and 1.347 dBi ( Simulated ) with 79 % radiation efficiency at 2.4 GHz . To prove the efficiency and eligibility in IoT applications , the measurement of the power delivered and received by the antenna at 2.4 GHz is performed and compared with the results of a dipole antenna . The antenna is integrated with 2.4 GHz radio frequency module and IoT sensors to validate the performance . Second , building a holistic platform to orchestrate various inter-related layers of IoT platforms , including connectivity , big-data analytics , and workload optimization . Third , proposing viable solutions that can be actually implemented in IoT-based applications . More details will be provided about the above issues during the talk . Smart home is an emerging technology for intelligently connecting a large variety of smart sensors and devices to facilitate automation of home appliances , lighting , heating and cooling systems , and security and safety systems . Our research revolves around Samsung SmartThings , a smart home platform with the largest number of apps among currently available smart home platforms . Smart home is emerging technology growing continuously now . It integrates of many new technologies through home networking for improving human ’s quality of living , so there are many projects researching in diverse technologies to apply to the smart home system . So , this paper reviews various issues on smart home technologies by surveying some smart home research projects . These technologies improve scalability , efficiency and optimize the structure responding to known IoT drawbacks such as low energy , resources and slow information processing . They are part of applications included in Smart City , Smart Home , Smart Grid , mainly telemetry . Libelium technology , including the Waspmote devices , are presented in this paper . To achieve this goal , designed systems must use all posible components at home , providing a high quality service . In this paper we extend our previous work on using multiagent systems to build a smart home environment . We describe its funcionality and introduce a new ontology in order to make easy agent communication and knowledge sharing . We present the Actinium ( Ac ) App-server for Californium , a server design for apps written in JavaScript . The targeted use-case is the smart home environment , but the concept can also be ported to business and industry scenarios . Actinium extends the Californium ( Cf ) CoAP framework by integrating the Mozilla Rhino engine to provide support for JavaScript apps . The framework facilitates the separation of CPS aspects from the “ regular ” workflow views . We show the feasibility of this approach in a smart home scenario and discuss the application of our approach for legacy BPM systems . The object in different phases of being mapped from the physical space to the cyber space has different security requirements . In this work , a concept of Object Life Cycle ( OLC ) is first proposed to describe the security requirements for the objects ' physical access , cyberentity , and physical extinction phase in U2IoT. Meanwhile , considering the variety of objects and related diversity resources , Physical Unclonable Function ( PUF ) is introduced to design a lightweight mutual authentication protocol for a smart home scenario . The design correctness and formal security are proved based on the BAN-logic . Therefore , the developed BCI system can achieve the design goal . This novel system helps to promote the development of smart house system . Especially , IoT is an upcoming network scenario which can tap into the benefits of CCN [ 2 ] . A smart home solution is a popular IoT application which needs inter-operability among smart devices in the home in a secure fashion . Although , this sounds like it should be a part of the everyday world ; even after twenty years of its inception , it is still a developing technology . We also discuss the implications of the disclosed attacks in the context of business competition . Finally , we propose some general design suggestions for building a more secure smart home solution . Abstract The implementation of a smart home product should be simple and possibly done by craftsmen . However , the important occupancy prediction currently requires considerable expert knowledge . Accurate occupancy information of indoor environments is one of the key prerequisites for many pervasive and context-aware services , e.g. smart building/home systems . Some of the existing occupancy inference systems can achieve impressive accuracy , but they either require labour-intensive calibration phases , or need to install bespoke hardware such as CCTV cameras , which are privacy-intrusive by default . We present an ontology-based reasoning approach for saving energy in a smart home setting where a mobile phone can serve as a generic sensor which can collect the inhabitant 's contextual data . The paper details an ontology that describes the smart home domain and a prototype to test the system . We implement these specifications under the Rodin platform and we use the ProB theorem prover to prove specification consistency . In order to illustrate and validate our solution , we experiment our approach with a case study dedicated to the Smart Home System of Systems ( SoS ) . Numerous applications , ranging from disaster management to smart buildings , have been proposed for sensor networks . The practicality of these applications depends on the ability of users to interact with these networks , in many cases in real time . Ambient intelligence , distributed agent systems , smart buildings and other emerging architectures leave the user lost between large amounts of autonomous entities or agents . With agents in cars , personal devices and other mobile systems , the set of agents available to the user can change rapidly , adding to the problems . With the emergence of various co-located Wireless Sensor Networks ( WSNs ) in applications such as smart buildings and smart cities , it becomes increasingly important to facilitate their interaction . The aim of inter-network collaboration is to leverage the performance of each WSN , as well as the quality of service of the overall system . Such features may include energy preservation system , or activity-recognition techniques . Service-Oriented Architecture ( SOA ) principles provide great tools that can be applied to the smart buildings design , however certain specifics of pervasive systems should be taken into account , such as high heterogeneity of available devices and capabilities . In this paper we propose an architecture for smart pervasive applications , which is based on SOA principles and is specifically designed for long-term applicability , scalability , and evolution capabilities of a BMS . Nevertheless , the potential of this resulting ecosystem may be threatened if security and privacy concerns are not properly addressed . In this work , we propose an ARM-compliant IoT security framework and its application on smart buildings scenarios , integrating contextual data as fundamental component in order to drive the building management and security behavior of indoor services accordingly . This framework is instantiated on a holistic platform called City explorer , which is extended with discovery and security mechanisms . The occurrence of short but recurrent opportunistic contacts between static infrastructure and mobile devices largely characterizes recent Internet of Things ( IoT ) applications for Smart Cities and Smart Buildings scenarios . In order to efficiently exploit such existing communication opportunities to access services , share and collect data , IoT applications can not rely on standard discovery mechanisms that periodically probe the environment to discover resources . A substantial contribution has been proposed to enhance the coverage area of mmWave band as an attempt to make it closer to the C-band performance . This study would be considered for designing and implementation of smart modern buildings . In particular , when technology trends to move toward the next Fifth Generation ( 5 G ) communication system with increasing the coverage area of signals particularly for indoor communication aspects . The vision of smart grid shares goals with that of smart modern buildings , including better automation through improved observation using intelligent submetering . Electrical submetering of modern buildings can lead to energy savings and better awareness to the end-user regarding their energy consumption pattern . Advanced systems to improve and automate processes within a city will play a leading role in smart cities . From smart design of buildings , which capture rain water for later use , to intelligent control systems , which can monitor infrastructures autonomously , the possible improvements enabled by sensing technologies are immense . Ubiquitous sensing poses numerous challenges , which are of a technological or social nature . Moreover , once crack inspection data is obtained , it is combined with existing SHM data for additional updating of the GP measurement model . Validations are performed on the fatigue test of attachment lug structures , in which the guided wave based SHM technique is applied for crack monitoring . As the cyclic load may cause intricate influences on the guided wave propagation , it is more difficult to quantify the crack length . Using a Delphi , the feasibility and desirability of applying Continuous Monitoring to different Enterprise Risks is studied . This study uncovers a significant relationship between the perceived business value of Continuous Monitoring and years of experience in Risk Management and Auditing , determines that all key architectural components for a Continuous Monitoring system are known , and indicates that Continuous Monitoring may be better suited for monitoring computer crime than monitoring strategic risks such as the loss of a competitive position . CONTINUOUS MONITORING OF ENTERPRISE RISKS : A DELPHI FEASIBILITY STUDY The paper describes the hardware design , node deployment , and networking issues of this wireless sensor network . The performance of practical experiments shows that our system is applicable and robustness for the purpose of energy waste monitoring . Usage pattern , unusual behavior and other issues can be detected . Over the past few decades , implantable monitoring of glucose , lactate acid , and pH monitoring has become a viable replacement for stationary monitoring . Implantable biosensing requires biosensors in conjunction with corresponding potentiostats and a signal processing unit to translate the data information to a more versatile , transmittable form . Our experiments present that the distribution of weak seismic TIR anomaly information from remote sensing data is good agreement with the seismic activity fault belts . The results reveal that the weak seismic TIR anomaly information can potentially contribute the event alert and detection the offshore earthquake in the adjacent sea and monitoring earthquake . Background : Modern software development companies increasingly rely on quantitative data in their decision-making for product releases , organizational performance assessment and monitoring of product quality . KPIs ( Key Performance Indicators ) are a critical element in the transformation of raw data ( numbers ) into decisions ( indicators ) . Using high-density ( 128-channel ) EEG , we tested hypotheses from these rival accounts . In addition to conducting stimulus- and response-locked whole-brain corrected analyses , we investigated the correct-related negativity , an ERP observed on correct trials at fronto-central electrodes proposed to reflect the involvement of domain general monitoring . The whole-brain ERP analysis revealed a significant effect of distractor frequency at inferior right frontal and temporal sites between 100 and 300-msec post-stimulus onset , during which lexical access is thought to occur . In this work we illustrate a means of monitoring probing processes in-situ . In addition , we show meaningful ways of interpreting data gathered during the probing process that allow real time process modification that leads to increased yields and throughput . The system ca n't operate steadily with the low reliability . According to the research of the system of monitoring satalite communications operation it discusses how to improve the rellablillty in the programming with the content of multi-threading and memory management The 39 full papers presented together with 12 short papers and 5 keynotes were carefully reviewed and selected from a total of 115 submissions . The OTM program covers subjects as follows : process designing and modeling , process enactment , monitoring and quality assessment , managing similarity , software services , improving alignment , collaboration systems and applications , ontology querying methodologies and paradigms , ontology support for web , XML , and RDF data processing and retrieval , knowledge bases querying and retrieval , social network and collaborative methodologies , ontology-assisted event and stream processing , ontology-assisted warehousing approaches , ontology-based data representation , and management in emerging domains . The equipment costs for a satellite gateway could be substantially lowered using the Software Defined Radio ( SDR ) concept which can provide a high degree of flexibility in dynamically operating multiple wireless interfaces , especially combined with the plethora of terrestrial communication standards . The design of an embedded hardware device based on SDR technologies would therefore significantly lower the overall costs of satellite communication for IoT and M2 M applications . Combining the presented elements , the main goal of this paper is to analyze the requirements of the satellite part of a SDR-based gateway for M2 M and IoT applications and to present a hardware implementation of the gateway together with its operational characteristics . This paper presents work that has been done to address the network capacity demands for internet of things ( IoT ) and machine-to-machine ( M2 M ) communications , based on efficient management and utilisation of radio spectrum resources . IoT/M2 M applications are predicted to exponentially grow and cause a massive up-surge in network traffic increase . We argue that existing mobile network architectures are not optimised to handle billions of small intermittent transactions generated by M2 M connections , therefore , a technology based on dynamic spectrum access (DSA)-enabled low-power M2M-wide area networks ( WANs ) is proposed . Recently , IoT ( Internet of Things ) technology is applied in various fields to increase convenience and usability . In this paper , we propose a mobile atmospheric pollution monitoring system as an IoT application service . The proposed system consists of a measurement part and a monitoring part . To ensure the quality its practical use , it is necessary to research its QoS architecture . We summarize QoS requirements through analysis of characteristic of IoT application service , transmission network , perception in this paper . Then we propose a QoS architecture based on IoT layered structure .
The smart grid is having huge architecture it includes various stakeholders that encounter challenges in the name of authorisation and authentication . The smart grid has another important issue to deal with that is securing the communication from varieties of cyber-attacks . In this paper , we first discussed about the challenges in the smart grid data communication and later we surveyed the existing cryptographic algorithm and presented comparative work on certain factors for existing working cryptographic algorithms This work gives insight conclusion to improve the working scheme for data security and Privacy preservation of customer who is one of the stack holders .
We also show that the theoretical results are the natural extension of the analysis for static potential games . We apply the analysis and provide numerical methods to solve four example problems , with different features each : i ) energy demand control in a smart-grid network ; ii ) network flow optimization in which the relays have bounded link capacity and limited battery life ; iii ) uplink multiple access communication with users that have to optimize the use of their batteries ; and iv ) two optimal scheduling games with time-varying channels .
Automation of the distribution system may be an essential requirement in the smart grid architecture . In this paper , the architecture of the distribution system has been proposed , where Phasor Meas ...
In smart grid architecture , it is important to monitor from the control centre , consumers demand , voltage , frequency and power factor accurately , on regular basis . This may become possible with installation of smart meters , which records these variables and sends them to Central Data Collection System through fast satellite communication link .
Energy Management systems have become an essential part of the new Smart Grid concept . In this context , wireless sensor network are established as one of the more flexible solutions for monitoring and control in home environments .
The smart grid concept is a key issue in the future power systems , namely at the distribution level , with deep concerns in the operation and planning of these systems . Several advantages and benefits for both technical and economic operation of the power system and of the electricity markets are recognized .
Revolutionary changes are however not expected in power transmission and distribution system but improvement through continued evolution can greatly reduce the effects like blackout 2003 . Distribution system provides major opportunities for smart grid concept . Public policies involving global climate change initiatives , reductions in CO2 and other polluting emissions , and incentives for renewable energy will increase issues related to the distribution system .
In order to comprehend this radical change we present and analyze recent , well documented attacks that target mission critical IAC systems , which incorporate Industrial IoT technologies . In particular , we focus on highly profiled , sophisticated attacks against interconnected automation and monitoring field devices , related software platforms and systems ( e.g. , Programmable Logical Controllers – PLCs , industrial robots ) installed on industrial facilities and smart grid generation , transmission and distribution networks and systems .
Energy systems are in transition towards more sustainable generation portfolios . In the envisioned smart grid generation will primarily depend on renewable power sources making uncertain quantities of electricity available , the delivery of which can not be guaranteed . Current electricity tariffs promise certain delivery , and are thus not well-suited to trade uncertain quantities .
The Smart Grid is a movement to bring the electrical power grid up to date so it can meet the current and future requirement so fits customers . Nuclear power plant is a part of smart grid generation system . The problem of safe interaction between nuclear power plant and power grid considering the Fukushima nuclear accident is becoming topical .
A qualitative content analysis in which data ( the academic papers ) are coded in preparation for comparison and interpretation is chosen to find the similarities and differences of smart grid development in different national contexts . Trough a comparative analysis of the smart grid development in USA , Europe and China , this paper conducts a transferable framework of smart grid solution with global and local features .
This paper describes the extended algorithm for Voltage VAr control ( VVC ) which takes into account operational costs , flexible loads , batteries and demand management in smart grid solution . This algorithm shows how commercial and electrical conditions are taken into consideration and discusses related optimization issues .
However , security issues are still currently challenging in smart grid . In this paper , aiming at tackle the security issue of power consumption data , we propose a new Ciphertext Policy Attribute-based Encryption ( CP-ABE ) scheme with revocation for the fog- based smart grid system . Specifically , in order to achieve attribute revocation without requiring users to be always online , we divide users ' attributes into attribute groups , assign an attribute group key to each group , and selectively distribute group key update messages .
Big data analytics are advanced statistical and predictive analytic methods which are capable of manipulating data in a range of Exabytes and more . This paper presents a review of the applications of the Internet of Everything and the machine learning techniques in the fields of health , smart electrical grid , and supply chain management . A review of the literature has been conducted to demonstrate the future issues and challenges that researchers will face .
This paper introduces the basic concept and characteristics of big data and smart grid , and the key technology of large data acquisition and data fusion technology , protocol technology , data display technology three aspects of big data technology in smart grid application are discussed , and an overview of big data grid applications can face in intellectual challenges . 1 THE RELATIONSHIP BETWEEN BIG DATA AND SMART GRID Smart grid is the direction and development trend of the power industry . Smart grid is a new power grid based on the physical grid , which is highly 1 Haike Liu , Yubao Ren , Lulu Wang , Yuanyuan Xu , State Grid of China Technology College , Second Ring Road No. 500
Aiming at combining the KNoT capability of integrating a plethora of devices with the high-level abstractions provided by the FIWARE platform , this paper presents the KNoT-FI environment . It integrates KNoT and FIWARE towards easing the development of IoT applications and seamlessly using capabilities of devices with or without native Internet connection through the FIWARE advanced interfaces . This paper also presents a validation of KNoT-FI in the development of a real-world application that automatically manages lighting , temperature , and ambient sound in smart buildings .
In this paper , we propose a semantic framework that integrates the IoT with machine learning for smart cities . The proposed framework retrieves and models urban data for certain kinds of IoT applications based on semantic and machine-learning technologies . Moreover , we propose two case studies : pollution detection from vehicles and traffic pattern detection .
The finalized antenna has a peak gain of −0.256 dBi ( measured ) and 1.347 dBi ( Simulated ) with 79 % radiation efficiency at 2.4 GHz . To prove the efficiency and eligibility in IoT applications , the measurement of the power delivered and received by the antenna at 2.4 GHz is performed and compared with the results of a dipole antenna . The antenna is integrated with 2.4 GHz radio frequency module and IoT sensors to validate the performance .
Second , building a holistic platform to orchestrate various inter-related layers of IoT platforms , including connectivity , big-data analytics , and workload optimization . Third , proposing viable solutions that can be actually implemented in IoT-based applications . More details will be provided about the above issues during the talk .
Smart home is an emerging technology for intelligently connecting a large variety of smart sensors and devices to facilitate automation of home appliances , lighting , heating and cooling systems , and security and safety systems . Our research revolves around Samsung SmartThings , a smart home platform with the largest number of apps among currently available smart home platforms .
Smart home is emerging technology growing continuously now . It integrates of many new technologies through home networking for improving human ’s quality of living , so there are many projects researching in diverse technologies to apply to the smart home system . So , this paper reviews various issues on smart home technologies by surveying some smart home research projects .
These technologies improve scalability , efficiency and optimize the structure responding to known IoT drawbacks such as low energy , resources and slow information processing . They are part of applications included in Smart City , Smart Home , Smart Grid , mainly telemetry . Libelium technology , including the Waspmote devices , are presented in this paper .
To achieve this goal , designed systems must use all posible components at home , providing a high quality service . In this paper we extend our previous work on using multiagent systems to build a smart home environment . We describe its funcionality and introduce a new ontology in order to make easy agent communication and knowledge sharing .
We present the Actinium ( Ac ) App-server for Californium , a server design for apps written in JavaScript . The targeted use-case is the smart home environment , but the concept can also be ported to business and industry scenarios . Actinium extends the Californium ( Cf ) CoAP framework by integrating the Mozilla Rhino engine to provide support for JavaScript apps .
The framework facilitates the separation of CPS aspects from the “ regular ” workflow views . We show the feasibility of this approach in a smart home scenario and discuss the application of our approach for legacy BPM systems .
The object in different phases of being mapped from the physical space to the cyber space has different security requirements . In this work , a concept of Object Life Cycle ( OLC ) is first proposed to describe the security requirements for the objects ' physical access , cyberentity , and physical extinction phase in U2IoT. Meanwhile , considering the variety of objects and related diversity resources , Physical Unclonable Function ( PUF ) is introduced to design a lightweight mutual authentication protocol for a smart home scenario . The design correctness and formal security are proved based on the BAN-logic .
Therefore , the developed BCI system can achieve the design goal . This novel system helps to promote the development of smart house system .
Especially , IoT is an upcoming network scenario which can tap into the benefits of CCN [ 2 ] . A smart home solution is a popular IoT application which needs inter-operability among smart devices in the home in a secure fashion . Although , this sounds like it should be a part of the everyday world ; even after twenty years of its inception , it is still a developing technology .
We also discuss the implications of the disclosed attacks in the context of business competition . Finally , we propose some general design suggestions for building a more secure smart home solution .
Abstract The implementation of a smart home product should be simple and possibly done by craftsmen . However , the important occupancy prediction currently requires considerable expert knowledge .
Accurate occupancy information of indoor environments is one of the key prerequisites for many pervasive and context-aware services , e.g. smart building/home systems . Some of the existing occupancy inference systems can achieve impressive accuracy , but they either require labour-intensive calibration phases , or need to install bespoke hardware such as CCTV cameras , which are privacy-intrusive by default .
We present an ontology-based reasoning approach for saving energy in a smart home setting where a mobile phone can serve as a generic sensor which can collect the inhabitant 's contextual data . The paper details an ontology that describes the smart home domain and a prototype to test the system .
We implement these specifications under the Rodin platform and we use the ProB theorem prover to prove specification consistency . In order to illustrate and validate our solution , we experiment our approach with a case study dedicated to the Smart Home System of Systems ( SoS ) .
Numerous applications , ranging from disaster management to smart buildings , have been proposed for sensor networks . The practicality of these applications depends on the ability of users to interact with these networks , in many cases in real time .
Ambient intelligence , distributed agent systems , smart buildings and other emerging architectures leave the user lost between large amounts of autonomous entities or agents . With agents in cars , personal devices and other mobile systems , the set of agents available to the user can change rapidly , adding to the problems .
With the emergence of various co-located Wireless Sensor Networks ( WSNs ) in applications such as smart buildings and smart cities , it becomes increasingly important to facilitate their interaction . The aim of inter-network collaboration is to leverage the performance of each WSN , as well as the quality of service of the overall system .
Such features may include energy preservation system , or activity-recognition techniques . Service-Oriented Architecture ( SOA ) principles provide great tools that can be applied to the smart buildings design , however certain specifics of pervasive systems should be taken into account , such as high heterogeneity of available devices and capabilities . In this paper we propose an architecture for smart pervasive applications , which is based on SOA principles and is specifically designed for long-term applicability , scalability , and evolution capabilities of a BMS .
Nevertheless , the potential of this resulting ecosystem may be threatened if security and privacy concerns are not properly addressed . In this work , we propose an ARM-compliant IoT security framework and its application on smart buildings scenarios , integrating contextual data as fundamental component in order to drive the building management and security behavior of indoor services accordingly . This framework is instantiated on a holistic platform called City explorer , which is extended with discovery and security mechanisms .
The occurrence of short but recurrent opportunistic contacts between static infrastructure and mobile devices largely characterizes recent Internet of Things ( IoT ) applications for Smart Cities and Smart Buildings scenarios . In order to efficiently exploit such existing communication opportunities to access services , share and collect data , IoT applications can not rely on standard discovery mechanisms that periodically probe the environment to discover resources .
A substantial contribution has been proposed to enhance the coverage area of mmWave band as an attempt to make it closer to the C-band performance . This study would be considered for designing and implementation of smart modern buildings . In particular , when technology trends to move toward the next Fifth Generation ( 5 G ) communication system with increasing the coverage area of signals particularly for indoor communication aspects .
The vision of smart grid shares goals with that of smart modern buildings , including better automation through improved observation using intelligent submetering . Electrical submetering of modern buildings can lead to energy savings and better awareness to the end-user regarding their energy consumption pattern .
Advanced systems to improve and automate processes within a city will play a leading role in smart cities . From smart design of buildings , which capture rain water for later use , to intelligent control systems , which can monitor infrastructures autonomously , the possible improvements enabled by sensing technologies are immense . Ubiquitous sensing poses numerous challenges , which are of a technological or social nature .
Moreover , once crack inspection data is obtained , it is combined with existing SHM data for additional updating of the GP measurement model . Validations are performed on the fatigue test of attachment lug structures , in which the guided wave based SHM technique is applied for crack monitoring . As the cyclic load may cause intricate influences on the guided wave propagation , it is more difficult to quantify the crack length .
Using a Delphi , the feasibility and desirability of applying Continuous Monitoring to different Enterprise Risks is studied . This study uncovers a significant relationship between the perceived business value of Continuous Monitoring and years of experience in Risk Management and Auditing , determines that all key architectural components for a Continuous Monitoring system are known , and indicates that Continuous Monitoring may be better suited for monitoring computer crime than monitoring strategic risks such as the loss of a competitive position . CONTINUOUS MONITORING OF ENTERPRISE RISKS : A DELPHI FEASIBILITY STUDY
The paper describes the hardware design , node deployment , and networking issues of this wireless sensor network . The performance of practical experiments shows that our system is applicable and robustness for the purpose of energy waste monitoring . Usage pattern , unusual behavior and other issues can be detected .
Over the past few decades , implantable monitoring of glucose , lactate acid , and pH monitoring has become a viable replacement for stationary monitoring . Implantable biosensing requires biosensors in conjunction with corresponding potentiostats and a signal processing unit to translate the data information to a more versatile , transmittable form .
Our experiments present that the distribution of weak seismic TIR anomaly information from remote sensing data is good agreement with the seismic activity fault belts . The results reveal that the weak seismic TIR anomaly information can potentially contribute the event alert and detection the offshore earthquake in the adjacent sea and monitoring earthquake .
Background : Modern software development companies increasingly rely on quantitative data in their decision-making for product releases , organizational performance assessment and monitoring of product quality . KPIs ( Key Performance Indicators ) are a critical element in the transformation of raw data ( numbers ) into decisions ( indicators ) .
Using high-density ( 128-channel ) EEG , we tested hypotheses from these rival accounts . In addition to conducting stimulus- and response-locked whole-brain corrected analyses , we investigated the correct-related negativity , an ERP observed on correct trials at fronto-central electrodes proposed to reflect the involvement of domain general monitoring . The whole-brain ERP analysis revealed a significant effect of distractor frequency at inferior right frontal and temporal sites between 100 and 300-msec post-stimulus onset , during which lexical access is thought to occur .
In this work we illustrate a means of monitoring probing processes in-situ . In addition , we show meaningful ways of interpreting data gathered during the probing process that allow real time process modification that leads to increased yields and throughput .
The system ca n't operate steadily with the low reliability . According to the research of the system of monitoring satalite communications operation it discusses how to improve the rellablillty in the programming with the content of multi-threading and memory management
The 39 full papers presented together with 12 short papers and 5 keynotes were carefully reviewed and selected from a total of 115 submissions . The OTM program covers subjects as follows : process designing and modeling , process enactment , monitoring and quality assessment , managing similarity , software services , improving alignment , collaboration systems and applications , ontology querying methodologies and paradigms , ontology support for web , XML , and RDF data processing and retrieval , knowledge bases querying and retrieval , social network and collaborative methodologies , ontology-assisted event and stream processing , ontology-assisted warehousing approaches , ontology-based data representation , and management in emerging domains .
The equipment costs for a satellite gateway could be substantially lowered using the Software Defined Radio ( SDR ) concept which can provide a high degree of flexibility in dynamically operating multiple wireless interfaces , especially combined with the plethora of terrestrial communication standards . The design of an embedded hardware device based on SDR technologies would therefore significantly lower the overall costs of satellite communication for IoT and M2 M applications . Combining the presented elements , the main goal of this paper is to analyze the requirements of the satellite part of a SDR-based gateway for M2 M and IoT applications and to present a hardware implementation of the gateway together with its operational characteristics .
This paper presents work that has been done to address the network capacity demands for internet of things ( IoT ) and machine-to-machine ( M2 M ) communications , based on efficient management and utilisation of radio spectrum resources . IoT/M2 M applications are predicted to exponentially grow and cause a massive up-surge in network traffic increase . We argue that existing mobile network architectures are not optimised to handle billions of small intermittent transactions generated by M2 M connections , therefore , a technology based on dynamic spectrum access (DSA)-enabled low-power M2M-wide area networks ( WANs ) is proposed .
Recently , IoT ( Internet of Things ) technology is applied in various fields to increase convenience and usability . In this paper , we propose a mobile atmospheric pollution monitoring system as an IoT application service . The proposed system consists of a measurement part and a monitoring part .
To ensure the quality its practical use , it is necessary to research its QoS architecture . We summarize QoS requirements through analysis of characteristic of IoT application service , transmission network , perception in this paper . Then we propose a QoS architecture based on IoT layered structure .
Research Issues Based on Comparative Work Related to Data Security and Privacy Preservation in Smart Grid Dynamic Potential Games With Constraints: Fundamentals and Applications in Communications A Communication-assisted Scheme in Radial Distribution Systems Using Phasor Measurement Units Implementation of automatic meter reading technique using SYNC 2000 & SYNC 5000 in Indian power system Home energy management system based on daily demand prediction and ZigBee network Dispatch of distributed energy resources to provide energy and reserve in smart grids using a particle swarm optimization approach Challenges in implementation Power Distribution System for Smart Grid Advanced Persistent Threats and Zero-Day Exploits in Industrial Internet of Things Renewable electricity trading through SLAs BBN-based approach for assessment of Smart Grid and nuclear power plant interaction Global Smart Grid Transferability: Insights from Europe, the U.S., and China Operationally constrained, closed loop voltage VAR control for smart distribution grids Achieve Revocable Access Control for Fog-Based Smart Grid System Internet of Everything and Machine Learning Applications: Issues and Challenges Research on Application and Challenges of Large Data in Smart Grid A Middleware Environment for Developing Internet of Things Applications Semantic Framework of Internet of Things for Smart Cities: Case Studies A Modified Meander Line Microstrip Patch Antenna With Enhanced Bandwidth for 2.4 GHz ISM-Band Internet of Things (IoT) Applications Provisioning and Management of Internet of Things Applications: Open Issues and Insights HoMonit: Monitoring Smart Home Apps from Encrypted Traffic Smart Home: An Urge for Advanced Living Low-Power IoT Devices for Measuring Environmental Values Infraestructura para servicios e interfaces sensibles a la localicación en hogares inteligentes Actinium: An App Server for the Smart Home Toward a framework for self-adaptive workflows in cyber-physical systems Physical Unclonable Function Based Authentication Protocol for Unit IoT and Ubiquitous IoT The development of a smart house system based on Brain-Computer Interface A smart home solution over CCN Phantom Device Attack: Uncovering the Security Implications of the Interactions among Devices, IoT Cloud, and Mobile Apps Short-term occupancy prediction and occupancy based constraints for MPC of smart homes Robust occupancy inference with commodity WiFi An ontology-based reasoning approach towards energy-aware smart homes A refinement-based approach for specifying multi-scale software architectures: application to SoS Secure Communication among Cell Phones and Sensor Networks Organizing ad hoc agents for human-agent service matching Consensus-based decentralized resource sharing between co-located Wireless Sensor Networks Service-Oriented Architecture for Smart Environments (Short Paper) SAFIR: Secure access framework for IoT-enabled services on smart buildings CARD: Context-Aware Resource Discovery for mobile Internet of Things scenarios A Comparison between Different C-band and mmWave band Frequencies for Indoor Communication Electrical submetering with repurposable applications for the built environment The Role of Advanced Sensing in Smart Cities On-line updating Gaussian process measurement model for crack prognosis using the particle filter Continuous monitoring of enterprise risks: A delphi feasibility study Building Surface Mounted Wireless Sensor Network for air conditioner energy auditing CMOS Current-Frequency Signal Processing Unit for Bioimplantable Sensors Event alert and detection in smart cities using anomaly information from remote sensing earthquake data A Key Performance Indicator Quality Model and Its Industrial Evaluation Early and Late Electrophysiological Effects of Distractor Frequency in Picture Naming: Reconciling Input and Output Accounts Characterization and optimization of the production probing process The Research Of Software Reliablity Based On the System Of Monitoring Satelite Communications Operation On the Move to Meaningful Internet Systems: OTM 2014 Conferences Satellite SDR Gateway for M2M and IoT applications Dynamic spectrum access for M2M-WANs: the African regulator's spectrum policy reform conundrum Mobile Atmospheric Quality Measurement and Monitoring System A QoS Architecture for IOT
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ICCE CIASG Security and Privacy Trends in the Industrial Internet of Thing EWDTS EUROCON VTC-Fall AINA Workshops M4IoT@Middleware MSWiM ACM Conference on Computer and Communications Security IIKI ROBIO ICTC WiMob CCNC SAC GLOBECOM MobiQuitous ISSNIP SOCA WoWMoM IWSM-Mensura ITC On the Move to Meaningful Internet Systems: OTM 2014 Conferences MUE/FutureTech iThings/CPSCom
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