Pub Date : 2016-09-01DOI: 10.1109/CEEC.2016.7835899
S. Subramaniam, R. Nilavalan, W. Balachandran, Shariq Mahmood Khan
The revolution on static wireless sensor network (WSN) had gained popularity in remote monitoring especially in oil and gas pipeline integrity. The use of WSN in oil and gas pipelines facilitates real-time data transmission from sensors to the monitoring station located miles away. WSN for pipeline network are critical performance driven communication mechanism due to its unique linear geographical set up. The network performance of linear topology is compromised proportionally to the number of nodes. Such a drawback results in poor delivery ratio, throughput, latency and fairness due to its snowball effect towards the destination node. In this paper, we proposed a novel routing method, Odd-Even Linear Static Routing Path (OE-LSRP) to achieve significant improvements in overall network performance in TCP agent. Various simulation experiments are tested with OE-LSRP in accordance to IEEE 802.11standard to achieve results in making it feasible for the pipeline network.
{"title":"Network performance optimization using Odd and Even routing algorithm for pipeline network","authors":"S. Subramaniam, R. Nilavalan, W. Balachandran, Shariq Mahmood Khan","doi":"10.1109/CEEC.2016.7835899","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835899","url":null,"abstract":"The revolution on static wireless sensor network (WSN) had gained popularity in remote monitoring especially in oil and gas pipeline integrity. The use of WSN in oil and gas pipelines facilitates real-time data transmission from sensors to the monitoring station located miles away. WSN for pipeline network are critical performance driven communication mechanism due to its unique linear geographical set up. The network performance of linear topology is compromised proportionally to the number of nodes. Such a drawback results in poor delivery ratio, throughput, latency and fairness due to its snowball effect towards the destination node. In this paper, we proposed a novel routing method, Odd-Even Linear Static Routing Path (OE-LSRP) to achieve significant improvements in overall network performance in TCP agent. Various simulation experiments are tested with OE-LSRP in accordance to IEEE 802.11standard to achieve results in making it feasible for the pipeline network.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126323356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-09-01DOI: 10.1109/CEEC.2016.7835884
Bilal R. Al-Kaseem, H. Al-Raweshidy
Machine devices are capable of processing the events captured by sensors and forwarding them through M2M gateway. Non-uniform energy consumption and extensive use of limited energy resources are the common reasons behind developing new energy efficient routing algorithms and protocols. The aim of this paper is to design hybrid routing protocol for M2M sensor network with multiple mobile sink nodes for IoT wireless applications. The proposed scalable energy efficient clustering mechanism will implicitly solve the network scalability, performance degradation and unbalance energy consumption problems. The simulation results showed that using multiple mobile sink nodes and the proposed clustering algorithm improved the energy distribution and prolong network lifetime, more specifically, the percentage difference between the proposed energy efficient routing protocol and the existing routing protocols showed remarkable enhancement about 80% and 92% in terms of the network lifetime and packets delivered to sink nodes respectively.
{"title":"Scalable M2M routing protocol for energy efficient IoT wireless applications","authors":"Bilal R. Al-Kaseem, H. Al-Raweshidy","doi":"10.1109/CEEC.2016.7835884","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835884","url":null,"abstract":"Machine devices are capable of processing the events captured by sensors and forwarding them through M2M gateway. Non-uniform energy consumption and extensive use of limited energy resources are the common reasons behind developing new energy efficient routing algorithms and protocols. The aim of this paper is to design hybrid routing protocol for M2M sensor network with multiple mobile sink nodes for IoT wireless applications. The proposed scalable energy efficient clustering mechanism will implicitly solve the network scalability, performance degradation and unbalance energy consumption problems. The simulation results showed that using multiple mobile sink nodes and the proposed clustering algorithm improved the energy distribution and prolong network lifetime, more specifically, the percentage difference between the proposed energy efficient routing protocol and the existing routing protocols showed remarkable enhancement about 80% and 92% in terms of the network lifetime and packets delivered to sink nodes respectively.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127827857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-09-01DOI: 10.1109/CEEC.2016.7835893
Zulhisyam Salleh, M. Sulaiman, R. Omar, F. A. Patakor
Recently, fuzzy logic controllers have been recognized in induction motor drives systems for their robust performance. Therefore, this paper presents a fuzzy logic (FL) control system based on FL approach for a vector controlled induction motor drives for high performance application. The analysis, design and simulation of the FL controller for vector control induction motor are carried out based on scaling factor and membership functions theory. First, the drives system was simulated with Standard Constant Parameter FL, Design Case Constant Parameter Fuzzy Logic and PI controller. Then the best performances of these controllers were compared to proposed optimized fuzzy logic controller (OFL). The OFL is done by tuning of scaling factor for the change in speed error, Gce to produce a better transient behaviour, and altering the width and moving the peak value positions of membership functions to improve control performance. The results show that the proposed OFL gives better performances in tracking performances and also load disturbances. The test is done in different operating conditions for half rated speed and full rated speed, half and full load condition. The results demonstrates the robustness and the effectiveness of OFL controller for high performance of induction motor drive system.
{"title":"Optimization of fuzzy logic based for vector control induction motor drives","authors":"Zulhisyam Salleh, M. Sulaiman, R. Omar, F. A. Patakor","doi":"10.1109/CEEC.2016.7835893","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835893","url":null,"abstract":"Recently, fuzzy logic controllers have been recognized in induction motor drives systems for their robust performance. Therefore, this paper presents a fuzzy logic (FL) control system based on FL approach for a vector controlled induction motor drives for high performance application. The analysis, design and simulation of the FL controller for vector control induction motor are carried out based on scaling factor and membership functions theory. First, the drives system was simulated with Standard Constant Parameter FL, Design Case Constant Parameter Fuzzy Logic and PI controller. Then the best performances of these controllers were compared to proposed optimized fuzzy logic controller (OFL). The OFL is done by tuning of scaling factor for the change in speed error, Gce to produce a better transient behaviour, and altering the width and moving the peak value positions of membership functions to improve control performance. The results show that the proposed OFL gives better performances in tracking performances and also load disturbances. The test is done in different operating conditions for half rated speed and full rated speed, half and full load condition. The results demonstrates the robustness and the effectiveness of OFL controller for high performance of induction motor drive system.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128542817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-09-01DOI: 10.1109/CEEC.2016.7835891
Hemalatha Kalimuthu, W. Tan, Sin Liang Lim, M. F. A. Fauzi
Digital Elevation Model (DEM) is an important data used in varies geographical researches but it is difficult and costly to obtain a high resolution DEM. This paper evaluates the accuracy of interpolated high resolution DEM established from a low resolution DEM data obtained from an online resource which is freely accessible to researchers and academician. The low resolution DEM available online was obtained from the ASTER Global Digital Elevation Model (ASTER GDEM) project by Japan Space Systems (JSS). Six types of interpolation techniques, namely High Power Inverse Distance Weighted (IDW), Low Power IDW, Tension Spline, Regularized Spline, Ordinary Kriging and Universal Kriging are applied to the low resolution ASTER GDEM to produce the high resolution interpolated DEM. The accuracy of the interpolated DEM is performed by comparing the interpolated DEM with the reference DEM data obtained from the Malaysian Centre for Geospatial Data Infrastructure (MACGDI). Based on the experimental results, the ordinary kriging and universal kriging have shown a good result of 13.99m and 13.95m of average absolute difference respectively. The study suggests that the interpolated DEM generated from ASTER GDEM by JSS can be applied to conduct future studies if high resolution DEM is required.
{"title":"Interpolation of low resolution Digital Elevation Models: A comparison","authors":"Hemalatha Kalimuthu, W. Tan, Sin Liang Lim, M. F. A. Fauzi","doi":"10.1109/CEEC.2016.7835891","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835891","url":null,"abstract":"Digital Elevation Model (DEM) is an important data used in varies geographical researches but it is difficult and costly to obtain a high resolution DEM. This paper evaluates the accuracy of interpolated high resolution DEM established from a low resolution DEM data obtained from an online resource which is freely accessible to researchers and academician. The low resolution DEM available online was obtained from the ASTER Global Digital Elevation Model (ASTER GDEM) project by Japan Space Systems (JSS). Six types of interpolation techniques, namely High Power Inverse Distance Weighted (IDW), Low Power IDW, Tension Spline, Regularized Spline, Ordinary Kriging and Universal Kriging are applied to the low resolution ASTER GDEM to produce the high resolution interpolated DEM. The accuracy of the interpolated DEM is performed by comparing the interpolated DEM with the reference DEM data obtained from the Malaysian Centre for Geospatial Data Infrastructure (MACGDI). Based on the experimental results, the ordinary kriging and universal kriging have shown a good result of 13.99m and 13.95m of average absolute difference respectively. The study suggests that the interpolated DEM generated from ASTER GDEM by JSS can be applied to conduct future studies if high resolution DEM is required.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133398572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-09-01DOI: 10.1109/CEEC.2016.7835898
Ibraheem Sakour, Huosheng Hu
It is extremely challenging to safely evacuate a crowd from massive events and buildings such as concerts and football fields. Since the panic caused by the emergency evacuation has a higher risk to human lives, careful planning and suitable measures have to take place to ensure the safety of the citizens. This paper addresses the evacuation problem by suggesting a system utilizing robotics technologies to help the evacuation process. The proposed evacuation system provides a crowd behavior simulation using an agent-based model. The simulated evacuation will be observed by an unmanned aerial vehicle which communicates with the individuals and redirects them towards less crowded exits and away from the the danger source. Finally, the proposed system performance is evaluated and the benefits of using robot aid in evacuations are presented.
{"title":"Robot assisted evacuation simulation","authors":"Ibraheem Sakour, Huosheng Hu","doi":"10.1109/CEEC.2016.7835898","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835898","url":null,"abstract":"It is extremely challenging to safely evacuate a crowd from massive events and buildings such as concerts and football fields. Since the panic caused by the emergency evacuation has a higher risk to human lives, careful planning and suitable measures have to take place to ensure the safety of the citizens. This paper addresses the evacuation problem by suggesting a system utilizing robotics technologies to help the evacuation process. The proposed evacuation system provides a crowd behavior simulation using an agent-based model. The simulated evacuation will be observed by an unmanned aerial vehicle which communicates with the individuals and redirects them towards less crowded exits and away from the the danger source. Finally, the proposed system performance is evaluated and the benefits of using robot aid in evacuations are presented.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132344437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-09-01DOI: 10.1109/CEEC.2016.7835908
Y. Alothman, Dongbing Gu
This paper presents an iterative linear quadratic regulator (iLQR) optimal controller of a high level dynamic model using Euler-Lagrange equations for a single quadrotor UAV with a cable-suspended heavy rigid body. The control algorithm is constructed in order to improve two possible outputs: firstly, precisely tracking a given desired trajectory for a quadrotor with load, and, secondly, considering an anti-swing load through a transporting task. Two challenges have been taken into account: aggressive trajectory tracking and stability in behaviour; these must be guaranteed for the full UAV carrying the payload. The high nonlinear dynamic model of the quadrotor with a consiseration of the cable suspended payload is represented in eleven degrees of freedom. Subsequently, the nonlinear dynamic model is linearised in two modes, a vehicle mode without a load effect during a taking-off task and a switching-to-quad-load system mode considering the load effect used in a simulation. The simulation results are presented to illustrate the system stability improvement and precise implementation through verifying the ILQR parameters in comparison with the LQR controller.
{"title":"Quadrotor transporting cable-suspended load using iterative Linear Quadratic regulator (iLQR) optimal control","authors":"Y. Alothman, Dongbing Gu","doi":"10.1109/CEEC.2016.7835908","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835908","url":null,"abstract":"This paper presents an iterative linear quadratic regulator (iLQR) optimal controller of a high level dynamic model using Euler-Lagrange equations for a single quadrotor UAV with a cable-suspended heavy rigid body. The control algorithm is constructed in order to improve two possible outputs: firstly, precisely tracking a given desired trajectory for a quadrotor with load, and, secondly, considering an anti-swing load through a transporting task. Two challenges have been taken into account: aggressive trajectory tracking and stability in behaviour; these must be guaranteed for the full UAV carrying the payload. The high nonlinear dynamic model of the quadrotor with a consiseration of the cable suspended payload is represented in eleven degrees of freedom. Subsequently, the nonlinear dynamic model is linearised in two modes, a vehicle mode without a load effect during a taking-off task and a switching-to-quad-load system mode considering the load effect used in a simulation. The simulation results are presented to illustrate the system stability improvement and precise implementation through verifying the ILQR parameters in comparison with the LQR controller.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115654603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-09-01DOI: 10.1109/CEEC.2016.7835916
M. Capllonch-Juan, F. Kölbl, F. Sepulveda
Sensory feedback in assistive prosthetic devices is a promising method to improve the quality of life of patients after amputation. However, the complexity of providing a truly natural thermal and mechanical feedback to the nervous system remains a challenge for the future generation of prostheses. Investigations for such a technological progress strongly rely on the modelling of the interfaces of the prostheses with the peripheral nervous system. Such models have to accurately mimic the physiological response of the tissue. Because these models are solved by computational methods, one of the keypoints for high accuracy is the spatial discretisation or meshing. In this paper we propose addressing the discretisation of myelinated axons, taking in consideration the existing rules for other neural structures. Our approach takes into account both the accuracy and the computational cost. We conducted simulations over a wide range of discretisation choices to quantify the deviation of the neural signal propagation velocity. Results showed that one segment per node of Ranvier is enough to model the active sites of a myelinated axon with sufficient accuracy. Modeling internodal myelinated regions (IN), on the other hand, requires 5–15 segments per region for accurate results in most cases, depending on the size of the IN. Our results show that simple guidelines can be followed to significantly reduce the errors in simulations of nerve bundles. Such performances will enable the simulation of more complex phenomena in a context of models associated with chaotic dynamics.
{"title":"Optimisation of the spatial discretisation of myelinated axon models","authors":"M. Capllonch-Juan, F. Kölbl, F. Sepulveda","doi":"10.1109/CEEC.2016.7835916","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835916","url":null,"abstract":"Sensory feedback in assistive prosthetic devices is a promising method to improve the quality of life of patients after amputation. However, the complexity of providing a truly natural thermal and mechanical feedback to the nervous system remains a challenge for the future generation of prostheses. Investigations for such a technological progress strongly rely on the modelling of the interfaces of the prostheses with the peripheral nervous system. Such models have to accurately mimic the physiological response of the tissue. Because these models are solved by computational methods, one of the keypoints for high accuracy is the spatial discretisation or meshing. In this paper we propose addressing the discretisation of myelinated axons, taking in consideration the existing rules for other neural structures. Our approach takes into account both the accuracy and the computational cost. We conducted simulations over a wide range of discretisation choices to quantify the deviation of the neural signal propagation velocity. Results showed that one segment per node of Ranvier is enough to model the active sites of a myelinated axon with sufficient accuracy. Modeling internodal myelinated regions (IN), on the other hand, requires 5–15 segments per region for accurate results in most cases, depending on the size of the IN. Our results show that simple guidelines can be followed to significantly reduce the errors in simulations of nerve bundles. Such performances will enable the simulation of more complex phenomena in a context of models associated with chaotic dynamics.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132924378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-09-01DOI: 10.1109/CEEC.2016.7835881
Qiang Liu, Ruihao Li, Huosheng Hu, Dongbing Gu
The traditional environment maps built by robots include both metric ones and topological ones. These maps are navigation-oriented and not adequate for service robots to interact with or serve human users who normally rely on conceptual knowledge or semantic contents of the environment. Therefore, the construction of semantic maps becomes necessary for building an effective human-robot interface for service robots. This paper aims to build a 3D environment map with an RGB-D sensor and extract semantic information from the RGB images to help blind people navigate at home. A novel approach is presented to diagnose and eliminate errors during semantic extraction.
{"title":"Building semantic maps for blind people to navigate at home","authors":"Qiang Liu, Ruihao Li, Huosheng Hu, Dongbing Gu","doi":"10.1109/CEEC.2016.7835881","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835881","url":null,"abstract":"The traditional environment maps built by robots include both metric ones and topological ones. These maps are navigation-oriented and not adequate for service robots to interact with or serve human users who normally rely on conceptual knowledge or semantic contents of the environment. Therefore, the construction of semantic maps becomes necessary for building an effective human-robot interface for service robots. This paper aims to build a 3D environment map with an RGB-D sensor and extract semantic information from the RGB images to help blind people navigate at home. A novel approach is presented to diagnose and eliminate errors during semantic extraction.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124890758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-09-01DOI: 10.1109/CEEC.2016.7835886
Samah Felemban, M. Gardner, V. Callaghan
3D virtual environments support collaborative learning through connecting users in real-time allowing them to accomplish learning tasks together, in addition they enhance the students' exploration, engagement, and interactivity. However, collecting learning evidence to evaluate students in these environments has many difficulties. Therefore, the intention of this paper is to describe our approach for assessing student's learning within collaborative groups in 3D virtual worlds (VWs). It combines a computational mechanism that integrates software agents and natural agents (users) with an ontology approach that supports the identification of learning evidence from collaborative activities that mimics classroom observation. The software agents track the users and collects different actions, clicks, and events to evaluate the quantity of interactions, while the natural agents perform peer evaluations of the students to assess the quality of their performance. The aim is that such a computational model can support more in-depth assessment of learning activities in 3D spaces.
{"title":"An event detection approach for identifying learning evidence in collaborative virtual environments","authors":"Samah Felemban, M. Gardner, V. Callaghan","doi":"10.1109/CEEC.2016.7835886","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835886","url":null,"abstract":"3D virtual environments support collaborative learning through connecting users in real-time allowing them to accomplish learning tasks together, in addition they enhance the students' exploration, engagement, and interactivity. However, collecting learning evidence to evaluate students in these environments has many difficulties. Therefore, the intention of this paper is to describe our approach for assessing student's learning within collaborative groups in 3D virtual worlds (VWs). It combines a computational mechanism that integrates software agents and natural agents (users) with an ontology approach that supports the identification of learning evidence from collaborative activities that mimics classroom observation. The software agents track the users and collects different actions, clicks, and events to evaluate the quantity of interactions, while the natural agents perform peer evaluations of the students to assess the quality of their performance. The aim is that such a computational model can support more in-depth assessment of learning activities in 3D spaces.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126721523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-09-01DOI: 10.1109/CEEC.2016.7835882
N. Griffiths, J. Chin
This paper proposes an implementation of a wireless sensor network as part of the Internet of Things using a network of distributed Raspberry Pi computers transmitting data over a ZigBee radio-mesh. The pervasive nature of noise in the modern environment makes this an ideal factor for monitoring unobtrusively in the Smart Environment. Noise monitoring using distributed Raspberry Pi computers has already been established in several other studies, but rarely in a domestic setting. The goal of this study is to evaluate the potential for using off-the-shelf, low-cost components to develop a wireless sensor network for unobtrusive sound monitoring in a domestic environment, where anomalous readings trigger alerts. The study investigates the transferability of the prototype into assisted living to enable seniors to live independently in their own homes. Assisted ambient living in a smart environment can provide support for both the elderly person and their carers through the provision of relevant data in a clear and easily accessible manner using cross-platform applications. Data can be accessed actively through an interface or passively when alerts are triggered.
{"title":"Towards unobtrusive ambient sound monitoring for smart and assisted environments","authors":"N. Griffiths, J. Chin","doi":"10.1109/CEEC.2016.7835882","DOIUrl":"https://doi.org/10.1109/CEEC.2016.7835882","url":null,"abstract":"This paper proposes an implementation of a wireless sensor network as part of the Internet of Things using a network of distributed Raspberry Pi computers transmitting data over a ZigBee radio-mesh. The pervasive nature of noise in the modern environment makes this an ideal factor for monitoring unobtrusively in the Smart Environment. Noise monitoring using distributed Raspberry Pi computers has already been established in several other studies, but rarely in a domestic setting. The goal of this study is to evaluate the potential for using off-the-shelf, low-cost components to develop a wireless sensor network for unobtrusive sound monitoring in a domestic environment, where anomalous readings trigger alerts. The study investigates the transferability of the prototype into assisted living to enable seniors to live independently in their own homes. Assisted ambient living in a smart environment can provide support for both the elderly person and their carers through the provision of relevant data in a clear and easily accessible manner using cross-platform applications. Data can be accessed actively through an interface or passively when alerts are triggered.","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"207 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132002555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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