The assisted technological device proposed in this paper is based on Internet of Things (IoT). Internet of things is anticipated to bridge the gap between all physical forms through a basic database in the future. Hence, using this advanced yet simple technology creates a platform, open to improvements in future. The basic functionality of the headset is for the visually impaired people who cannot perceive the upcoming obstacles. The headset not only detects the upcoming obstacle but also processes the distance between the source and the obstacle. The headset is capable in detecting approaching steps or any region of higher altitude and thereby warning the user. We also use new emerging technologies like Image Processing and Video Processing. We use Image Processing for identifying the type of obstacle and Video Processing for finding out the relative velocity. Initially, we have discussed about the working of the basic components of the headset and the process in which they work together. Finally, we have discussed about the prospects this research may contribute to society in the near future. We use different devices like the Raspberry Pi 3, ultrasonic sensors and earpiece. The device we have visualized is quite portable. Neither is it too heavy or too large in size. The model we have envisioned is far from perfect. There are still inputs and modifications which we need to do in the future, to make it completely functional. What we have presented in this paper is just a prototype, a rough sketch of the device we want to make, a device which we believe will make the people's lives a bit easier. We hope that in the future, our research forms the base for several other researches which target to help those in need.
{"title":"Assisted Technological Headset using Internet of Things","authors":"Debopama Ghosh, S. Bhattacharya, Arkaprabha Lodh, Poulami Mitra, Debosama Ghosh, Writam Mallik","doi":"10.1109/iemcon.2018.8614841","DOIUrl":"https://doi.org/10.1109/iemcon.2018.8614841","url":null,"abstract":"The assisted technological device proposed in this paper is based on Internet of Things (IoT). Internet of things is anticipated to bridge the gap between all physical forms through a basic database in the future. Hence, using this advanced yet simple technology creates a platform, open to improvements in future. The basic functionality of the headset is for the visually impaired people who cannot perceive the upcoming obstacles. The headset not only detects the upcoming obstacle but also processes the distance between the source and the obstacle. The headset is capable in detecting approaching steps or any region of higher altitude and thereby warning the user. We also use new emerging technologies like Image Processing and Video Processing. We use Image Processing for identifying the type of obstacle and Video Processing for finding out the relative velocity. Initially, we have discussed about the working of the basic components of the headset and the process in which they work together. Finally, we have discussed about the prospects this research may contribute to society in the near future. We use different devices like the Raspberry Pi 3, ultrasonic sensors and earpiece. The device we have visualized is quite portable. Neither is it too heavy or too large in size. The model we have envisioned is far from perfect. There are still inputs and modifications which we need to do in the future, to make it completely functional. What we have presented in this paper is just a prototype, a rough sketch of the device we want to make, a device which we believe will make the people's lives a bit easier. We hope that in the future, our research forms the base for several other researches which target to help those in need.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124612391","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8614949
S. Shaheen, M. M. Saleem, S. M. H. Zaidi, Ayesha Akhtar
This paper presents design, modeling and parametric optimization of RF MEMS varactor with large tuning range using electrostatic actuation. Optimized result is obtained using finite element method (FEM) and HFSS simulation to obtain large tuning ratio. Electrostatic torsion actuator is used in this model for actuation. The actuator beam transform the closing gap of torsion actuator into the movement of capacitor plate in the upward direction. The proposed design is optimized on the basis of electrode length ratio, levering ratio, gap between the plates. The design is demonstrated on 50 Ω coplanar transmission line for frequency range ofl-10 GHz, and optimized scattering parameters are achieved for both the actuated and un-actuated state. RF characteristics has been improved at electrode length ratio of 0.4404. Best performance is achieved at 5.5GHz with tunability of 157 % for Electrode length ratio of 0.4404.
{"title":"Design, Simulation and Parametric Optimization of MEMS Based Varactor","authors":"S. Shaheen, M. M. Saleem, S. M. H. Zaidi, Ayesha Akhtar","doi":"10.1109/IEMCON.2018.8614949","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614949","url":null,"abstract":"This paper presents design, modeling and parametric optimization of RF MEMS varactor with large tuning range using electrostatic actuation. Optimized result is obtained using finite element method (FEM) and HFSS simulation to obtain large tuning ratio. Electrostatic torsion actuator is used in this model for actuation. The actuator beam transform the closing gap of torsion actuator into the movement of capacitor plate in the upward direction. The proposed design is optimized on the basis of electrode length ratio, levering ratio, gap between the plates. The design is demonstrated on 50 Ω coplanar transmission line for frequency range ofl-10 GHz, and optimized scattering parameters are achieved for both the actuated and un-actuated state. RF characteristics has been improved at electrode length ratio of 0.4404. Best performance is achieved at 5.5GHz with tunability of 157 % for Electrode length ratio of 0.4404.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132051548","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8614995
K. Ghanshala, Sachin Sharma, S. Mohan, R. Joshi
In architecting a smart city, the designers and architects need to incorporate efficient mechanisms to manage movement of people, especially in urban areas. Such mechanisms usually depend heavily on the availability of efficient information and communication technologies. This paper proposes a Cloud-based cognitive radio adhoc vehicular network (CRAVENET), which plays a significant role in facilitating the development and implementation of various services in the operation of smart cities. CRAVENET also facilitates efficiently spectrum utilization by offering opportunities for cooperation among wireless service providers. CRAVENET architecture enables information collected by individual vehicles to be shared between them so as to facilitate the offering of multiple services needed for the operation of smart cities. We validate the proposed architecture using OMNeT++ and estimate its utility for information sharing and decision making. The simulation focuses on information available and/or gathered along a road trip like road conditions, trip data, traffic and climatic conditions, the status of vehicles' health, accessible vehicle service stations, and business centers.
{"title":"Cloud-Based Cognitive Radio Adhoc Vehicular Network Architecture: A Next-Generation Smart City","authors":"K. Ghanshala, Sachin Sharma, S. Mohan, R. Joshi","doi":"10.1109/IEMCON.2018.8614995","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614995","url":null,"abstract":"In architecting a smart city, the designers and architects need to incorporate efficient mechanisms to manage movement of people, especially in urban areas. Such mechanisms usually depend heavily on the availability of efficient information and communication technologies. This paper proposes a Cloud-based cognitive radio adhoc vehicular network (CRAVENET), which plays a significant role in facilitating the development and implementation of various services in the operation of smart cities. CRAVENET also facilitates efficiently spectrum utilization by offering opportunities for cooperation among wireless service providers. CRAVENET architecture enables information collected by individual vehicles to be shared between them so as to facilitate the offering of multiple services needed for the operation of smart cities. We validate the proposed architecture using OMNeT++ and estimate its utility for information sharing and decision making. The simulation focuses on information available and/or gathered along a road trip like road conditions, trip data, traffic and climatic conditions, the status of vehicles' health, accessible vehicle service stations, and business centers.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129093266","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8615079
Nirmalya Thakur, C. Han
Internet of Things (IoT) will provide a data rich world to afford smart systems which, in a context of a smart home, will have to adapt to people according to their needs for work and living. This paper describes the work to establish a framework for building a database to capture all possible user interactions associated with a given activity and lists the conditions for these user interactions leading to the activity goal. As an application of this framework, an activity performance-based supervised recommender system to recommend tasks related to different activities in a smart home is presented. Its usefulness to enhance the quality of life of people in technology-laden surroundings can be seen, especially for the elderly people, by providing environments with smart agents, that can effectively assist them in user interactions, as well as recommend tasks or activities, or even guide them through the intended tasks. Furthermore, the future intelligent assistant agents will have to learn a universal set of user interactions related to any activity to effectively mitigate distractions and adapt to the situations and recommend tasks to aid users in reaching to the end goal of performing the desired activity. A preliminary result demonstrates a performance accuracy of 75% when evaluated on a subset of the UK DALE dataset [1].
{"title":"A Context-Driven Complex Activity Framework for Smart Home","authors":"Nirmalya Thakur, C. Han","doi":"10.1109/IEMCON.2018.8615079","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8615079","url":null,"abstract":"Internet of Things (IoT) will provide a data rich world to afford smart systems which, in a context of a smart home, will have to adapt to people according to their needs for work and living. This paper describes the work to establish a framework for building a database to capture all possible user interactions associated with a given activity and lists the conditions for these user interactions leading to the activity goal. As an application of this framework, an activity performance-based supervised recommender system to recommend tasks related to different activities in a smart home is presented. Its usefulness to enhance the quality of life of people in technology-laden surroundings can be seen, especially for the elderly people, by providing environments with smart agents, that can effectively assist them in user interactions, as well as recommend tasks or activities, or even guide them through the intended tasks. Furthermore, the future intelligent assistant agents will have to learn a universal set of user interactions related to any activity to effectively mitigate distractions and adapt to the situations and recommend tasks to aid users in reaching to the end goal of performing the desired activity. A preliminary result demonstrates a performance accuracy of 75% when evaluated on a subset of the UK DALE dataset [1].","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132063070","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8615098
B. Parhami
Literacy and numeracy, introduced long ago to define the skill sets of a competent workforce, are no longer adequate for the 21st century. We need what is described by “techeracy,” which is loosely equivalent to “grasp of technology.” Just as numeracy is fundamentally different from literacy, there are key differences between the scopes and requirements of techeracy and numeracy. Achieving techeracy requires a further shift away from story-telling and word problems, used to instill literacy and numeracy, toward logical reasoning, as reflected in the activity of solving puzzles. I draw upon my experience with teaching a freshman seminar to non-science/engineering majors to convey how a diverse group of learners can be brought to understand the underpinnings of complex technical concepts. Once the basics are imparted in this manner, learners become empowered to pursue additional science and technology topics through suitably designed self-contained study modules.
{"title":"Use of Logical Puzzles to Promote Techeracy for Non-Science/Engineering Students","authors":"B. Parhami","doi":"10.1109/IEMCON.2018.8615098","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8615098","url":null,"abstract":"Literacy and numeracy, introduced long ago to define the skill sets of a competent workforce, are no longer adequate for the 21st century. We need what is described by “techeracy,” which is loosely equivalent to “grasp of technology.” Just as numeracy is fundamentally different from literacy, there are key differences between the scopes and requirements of techeracy and numeracy. Achieving techeracy requires a further shift away from story-telling and word problems, used to instill literacy and numeracy, toward logical reasoning, as reflected in the activity of solving puzzles. I draw upon my experience with teaching a freshman seminar to non-science/engineering majors to convey how a diverse group of learners can be brought to understand the underpinnings of complex technical concepts. Once the basics are imparted in this manner, learners become empowered to pursue additional science and technology topics through suitably designed self-contained study modules.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132470385","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8614830
Kavyashree Puttananjegowda, Sylvia W. Thomas
In this paper, the design of an ultra-low-power, low noise carbon nanotube field effect transistor (CNTFET) based transimpedance amplifier (TIA) is presented for an amperiometric based blood glucose monitoring system for wearable devices. The proposed cascode common source multistage transimpedance amplifier circuit is designed and implemented in CNTFET technology. It has been demonstrated that the performance of the proposed TIA can be enhanced by considering an optimum number of CNTs, the CNT pitch and CNT diameter. The TIA shows a significant increase in transimpedance gain, 572 MΩ, with a bandwidth of 200 MHz and an input referred current noise of 8.3 fA/⇃Hz for an input current of 2 nA. The total power consumption is 11 pW with a 1.8 V supply.
{"title":"A CNTFET based Multi-Stage Transimpedance Amplifier for Blood Glucose Monitoring Systems","authors":"Kavyashree Puttananjegowda, Sylvia W. Thomas","doi":"10.1109/IEMCON.2018.8614830","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614830","url":null,"abstract":"In this paper, the design of an ultra-low-power, low noise carbon nanotube field effect transistor (CNTFET) based transimpedance amplifier (TIA) is presented for an amperiometric based blood glucose monitoring system for wearable devices. The proposed cascode common source multistage transimpedance amplifier circuit is designed and implemented in CNTFET technology. It has been demonstrated that the performance of the proposed TIA can be enhanced by considering an optimum number of CNTs, the CNT pitch and CNT diameter. The TIA shows a significant increase in transimpedance gain, 572 MΩ, with a bandwidth of 200 MHz and an input referred current noise of 8.3 fA/⇃Hz for an input current of 2 nA. The total power consumption is 11 pW with a 1.8 V supply.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131949538","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8614896
Souptik Paul, Sayan Banerjee, Srutayu Biswas
In recent times, cleanliness has become an important factor for human health. One major aspect of cleanliness is the efficient disposal of wastes. Accumulation of waste products for prolonged periods of time can lead to the spreading of various diseases. Therefore, countries around the world are taking attempts to ensure proper handling of waste products. The system we built will apprise individuals or organisations about the amount of waste in their bins and also alert them when the bin is filled to the brim. Our system also analyses the waste products to ensure the proper segregation of the wastes into biodegradable, non-biodegradable and recyclable wastes. The system also recognizes objectionable materials in the bin, using Computer Vision API and sends an alert as and when they are disposed. This system will thus help promoting cleanliness in the country. By utilising this system, people need not check their bins on a regular basis as they will be notified when required.
{"title":"Smart Garbage Monitoring Using IoT","authors":"Souptik Paul, Sayan Banerjee, Srutayu Biswas","doi":"10.1109/IEMCON.2018.8614896","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614896","url":null,"abstract":"In recent times, cleanliness has become an important factor for human health. One major aspect of cleanliness is the efficient disposal of wastes. Accumulation of waste products for prolonged periods of time can lead to the spreading of various diseases. Therefore, countries around the world are taking attempts to ensure proper handling of waste products. The system we built will apprise individuals or organisations about the amount of waste in their bins and also alert them when the bin is filled to the brim. Our system also analyses the waste products to ensure the proper segregation of the wastes into biodegradable, non-biodegradable and recyclable wastes. The system also recognizes objectionable materials in the bin, using Computer Vision API and sends an alert as and when they are disposed. This system will thus help promoting cleanliness in the country. By utilising this system, people need not check their bins on a regular basis as they will be notified when required.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131978577","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8614906
M. M. Saleck, Abdelmajid El Moutaouakkil, Mohamed Rmili
Image segmentation plays a key role in many medical imaging applications, especially in Computer-Aided Detection (CAD) system for mammography. A good segmentation allows increasing the performance and efficiency of CAD system that enables the radiologist to conduct a clear diagnostic analysis and to make better decisions; this requires effective tools and techniques. This paper proposes a new method to extract the mass from the Region of Interest (ROI) based on texture features and Fuzzy C-Means (FCM) clustering with setting c= 2, whereas the user selects the region of interest manually. The process of clustering is applying within an appropriate range limited by the maximum of intensity and a threshold defined by the big changes in the texture features levels. The proposed method is applied to Mini-MIAS database and then its performance is compared with some explored methods. In this study, the result of overlap measure (AOM) was achieved approximately 81%.
{"title":"Hybrid Clustering and Texture Features in Segmentation of Breast Masses in Mammograms","authors":"M. M. Saleck, Abdelmajid El Moutaouakkil, Mohamed Rmili","doi":"10.1109/IEMCON.2018.8614906","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614906","url":null,"abstract":"Image segmentation plays a key role in many medical imaging applications, especially in Computer-Aided Detection (CAD) system for mammography. A good segmentation allows increasing the performance and efficiency of CAD system that enables the radiologist to conduct a clear diagnostic analysis and to make better decisions; this requires effective tools and techniques. This paper proposes a new method to extract the mass from the Region of Interest (ROI) based on texture features and Fuzzy C-Means (FCM) clustering with setting c= 2, whereas the user selects the region of interest manually. The process of clustering is applying within an appropriate range limited by the maximum of intensity and a threshold defined by the big changes in the texture features levels. The proposed method is applied to Mini-MIAS database and then its performance is compared with some explored methods. In this study, the result of overlap measure (AOM) was achieved approximately 81%.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133751517","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8614978
M. Richardson, Derek Jacoby, Y. Coady
As Augmented Reality (AR) and Virtual Reality (VR) applications become more mainstream, developers now have a number of design decisions that must be carefully considered before choosing a device for an interactive visualization with big data. Unfortunately, understanding the true affordances and limitations of each device, and how these affect the resultant potential to support visual analytics, is still more of a black art than a science. In this paper, we highlight key design decisions and technical challenges in the context of a case study to port an interactive geospatial visualization from an AR device, the Microsoft Hololens, to a mobile VR device, the Google Daydream. Our results show that careful leveraging of backend cloud services can allow for interactive visualizations of big data to scale well across devices.
{"title":"Retrofitting Realities: Affordances and Limitations in Porting an Interactive Geospatial Visualization from Augmented to Virtual Reality","authors":"M. Richardson, Derek Jacoby, Y. Coady","doi":"10.1109/IEMCON.2018.8614978","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614978","url":null,"abstract":"As Augmented Reality (AR) and Virtual Reality (VR) applications become more mainstream, developers now have a number of design decisions that must be carefully considered before choosing a device for an interactive visualization with big data. Unfortunately, understanding the true affordances and limitations of each device, and how these affect the resultant potential to support visual analytics, is still more of a black art than a science. In this paper, we highlight key design decisions and technical challenges in the context of a case study to port an interactive geospatial visualization from an AR device, the Microsoft Hololens, to a mobile VR device, the Google Daydream. Our results show that careful leveraging of backend cloud services can allow for interactive visualizations of big data to scale well across devices.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117138748","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8614964
Hamed Sadat-Mehrizi, Mina Sadat-Mehrizi, E. Zeinali
In this paper a wormhole, adaptive, and fault tolerance routing method for 2-dimensions mesh network-on-chips (NoCs) is presented. This routing algorithm is based on a very low cost fault tolerant routing technique for tolerating multiple broken channels in the on-chip networks. It is an adaptive, deadlock-free, distributed, and congestion-aware routing algorithm which only two virtual channels are engaged for its adaptability and fault tolerance. Load balancing is acquired by using two congestion flags amongst each two adjoining nodes which exhibit the congestion existence in a network's row or column. Besides, different flags in each node may be used to alert the broken channel occurrence in a row or column. Ultimately, the network on chip efficiency, fault-tolerance ability and hardware overhead are computed via suitable simulations. The experimental outcomes validate that the NoCs total throughput and reliability are considerably elevated alongside extremely slight latency overhead in networks with multiple broken links.
{"title":"An Algorithm for Tolerating Multiple Faulty Channels in 2D NoCs","authors":"Hamed Sadat-Mehrizi, Mina Sadat-Mehrizi, E. Zeinali","doi":"10.1109/IEMCON.2018.8614964","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614964","url":null,"abstract":"In this paper a wormhole, adaptive, and fault tolerance routing method for 2-dimensions mesh network-on-chips (NoCs) is presented. This routing algorithm is based on a very low cost fault tolerant routing technique for tolerating multiple broken channels in the on-chip networks. It is an adaptive, deadlock-free, distributed, and congestion-aware routing algorithm which only two virtual channels are engaged for its adaptability and fault tolerance. Load balancing is acquired by using two congestion flags amongst each two adjoining nodes which exhibit the congestion existence in a network's row or column. Besides, different flags in each node may be used to alert the broken channel occurrence in a row or column. Ultimately, the network on chip efficiency, fault-tolerance ability and hardware overhead are computed via suitable simulations. The experimental outcomes validate that the NoCs total throughput and reliability are considerably elevated alongside extremely slight latency overhead in networks with multiple broken links.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121184877","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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