Pub Date : 2018-11-01DOI: 10.1109/IEMCON.2018.8614852
Tarek El Salti, Mark Orlando, Simon Hood, Gerhard Knelsen, Melanie Iarocci, Zachary Lazzara, Yongmei Xie, Joseph Chun-Chung Cheung, I. Woungang
Indoor Location Based Services (LBSs) are likely to make significant contributions to society and the economy in the near future. Unlike outdoor LBSs, the technologies and methodologies used are still very much under development, and there are a number of challenges which must be addressed, namely: accuracy, precision, and time complexity. For the accuracy metric, the Euclidean distance error is calculated based on the difference between the known location (points of interests) and the localized position. Regarding the precision metric, the distribution of the distance errors is computed. In this paper, new fingerprinting-based algorithms, namely, the Nearest Neighbor Version 2 (NNV2), Nearest Neighbor Version 3 (NNV3) and Nearest Neighbor Version 4 (NNV4), are proposed, and tested to determine the most effective and efficient one with respect to those challenges. Our analysis reveals that: (1) the time complexity for each of the Nearest Neighbour (NN) and KNN algorithms (i.e., K is constant) is $(1ast mathbf{n}ast mathbf{m}+1ast mathbf{m})$ -comparison which is more than that for NNV2 and NNV4 (i.e., n is the number of centroids between any two rows, m refers to the Received Signal Strength Indicators (RSSIs) acquired at the offline stage, and 1 is the number of rows that holds some of the grid points), (2) NNV4 outperforms the NN, KNN and Path-loss based Fingerprint Localization algorithms (PFL) in terms of accuracy by approximately 29%, 13%, 22%; respectively, (3) NNV4 outperforms the NN, KNN and PFL in terms of precision by approximately 53%, 28%, 52%; respectively, and (4) NNV4 has a lower probability of positional error compared to those for the existing indoor localization algorithms.
{"title":"A New Set of Bluetooth-Based Fingerprinting Algorithms for Indoor Location Services","authors":"Tarek El Salti, Mark Orlando, Simon Hood, Gerhard Knelsen, Melanie Iarocci, Zachary Lazzara, Yongmei Xie, Joseph Chun-Chung Cheung, I. Woungang","doi":"10.1109/IEMCON.2018.8614852","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614852","url":null,"abstract":"Indoor Location Based Services (LBSs) are likely to make significant contributions to society and the economy in the near future. Unlike outdoor LBSs, the technologies and methodologies used are still very much under development, and there are a number of challenges which must be addressed, namely: accuracy, precision, and time complexity. For the accuracy metric, the Euclidean distance error is calculated based on the difference between the known location (points of interests) and the localized position. Regarding the precision metric, the distribution of the distance errors is computed. In this paper, new fingerprinting-based algorithms, namely, the Nearest Neighbor Version 2 (NNV2), Nearest Neighbor Version 3 (NNV3) and Nearest Neighbor Version 4 (NNV4), are proposed, and tested to determine the most effective and efficient one with respect to those challenges. Our analysis reveals that: (1) the time complexity for each of the Nearest Neighbour (NN) and KNN algorithms (i.e., K is constant) is $(1ast mathbf{n}ast mathbf{m}+1ast mathbf{m})$ -comparison which is more than that for NNV2 and NNV4 (i.e., n is the number of centroids between any two rows, m refers to the Received Signal Strength Indicators (RSSIs) acquired at the offline stage, and 1 is the number of rows that holds some of the grid points), (2) NNV4 outperforms the NN, KNN and Path-loss based Fingerprint Localization algorithms (PFL) in terms of accuracy by approximately 29%, 13%, 22%; respectively, (3) NNV4 outperforms the NN, KNN and PFL in terms of precision by approximately 53%, 28%, 52%; respectively, and (4) NNV4 has a lower probability of positional error compared to those for the existing indoor localization algorithms.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"4 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":"123769793","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.2018.8614913
I. Zafar, Asma Shaheen, A. Nazir, B. Maqbool, Wasi Haider Butt, Jahan Zeb
Requirement engineering (RE) is initial and critical phase of software engineering. The success of software project is based on good requirement engineering practices. The purpose of requirement engineering practices is to elicit all intended user needs and document them for clarity of understanding and for future reference. In developing countries like Pakistan best RE practices are not fully used in software industry. In this study, major reasons for not using best RE practices are identified based on literature review of research work done related to RE in different countries. Literature review revealed that lack of knowledge of requirement engineering processes, lack of cost, lack of time are major factors behind not using RE practices in software development. A survey was conducted to base on factors identified to highlight major obstacles in way of using best requirement engineering practices in Pakistan. Survey results depicted the main issues are lack of budget, lack of time, lack of dedicated team and communication difficulties.
{"title":"Why Pakistani Software Companies don't use Best Practices for Requirement Engineering Processes","authors":"I. Zafar, Asma Shaheen, A. Nazir, B. Maqbool, Wasi Haider Butt, Jahan Zeb","doi":"10.1109/IEMCON.2018.8614913","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614913","url":null,"abstract":"Requirement engineering (RE) is initial and critical phase of software engineering. The success of software project is based on good requirement engineering practices. The purpose of requirement engineering practices is to elicit all intended user needs and document them for clarity of understanding and for future reference. In developing countries like Pakistan best RE practices are not fully used in software industry. In this study, major reasons for not using best RE practices are identified based on literature review of research work done related to RE in different countries. Literature review revealed that lack of knowledge of requirement engineering processes, lack of cost, lack of time are major factors behind not using RE practices in software development. A survey was conducted to base on factors identified to highlight major obstacles in way of using best requirement engineering practices in Pakistan. Survey results depicted the main issues are lack of budget, lack of time, lack of dedicated team and communication difficulties.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"5 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":"127939644","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.2018.8614763
F. J. Dian, A. Yousefi, Sungjoon Lim
the data rate of Bluetooth Low Energy (BLE) is 1Mbps, and 2Mbps for BLE 4.2 and BLE 5, respectively. However, the throughput of a BLE system would be much lower since we need to account for various protocol overheads, adaptive RF connection adjustments for maintaining robust links amid interference, and protocol limitations based on BLE data exchange strategy and operations such as connection intervals, packet size and packet acknowledgment scheme. In this paper, we practically investigate the maximum throughput achievable in a simple BLE 4.2 network of two nodes, used in a data logging application. In this type of application, one node always has data to transmit and the other node which collects the transmitted sensor data does not have any data to send. We will also consider the effect of BLE parameters in this study. The result of our study shows that the maximum amount of throughput is 221.7 kbps for this application under the condition that the wireless link is error free and application always has data to transmit.
BLE (Bluetooth Low Energy)协议的数据速率为1Mbps, BLE 4.2协议为2Mbps, BLE 5协议为2Mbps。然而，BLE系统的吞吐量会低得多，因为我们需要考虑各种协议开销、自适应RF连接调整以在干扰中保持稳健的链路，以及基于BLE数据交换策略和操作(如连接间隔、数据包大小和数据包确认方案)的协议限制。在本文中，我们实际研究了在数据记录应用中使用的简单双节点BLE 4.2网络所能实现的最大吞吐量。在这种类型的应用程序中，一个节点总是有数据要传输，而收集传输的传感器数据的另一个节点没有任何数据要发送。我们还将在本研究中考虑BLE参数的影响。研究结果表明，在无线链路无差错且应用程序始终有数据传输的情况下，该应用程序的最大吞吐量为221.7 kbps。
{"title":"A practical study on Bluetooth Low Energy (BLE) throughput","authors":"F. J. Dian, A. Yousefi, Sungjoon Lim","doi":"10.1109/IEMCON.2018.8614763","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614763","url":null,"abstract":"the data rate of Bluetooth Low Energy (BLE) is 1Mbps, and 2Mbps for BLE 4.2 and BLE 5, respectively. However, the throughput of a BLE system would be much lower since we need to account for various protocol overheads, adaptive RF connection adjustments for maintaining robust links amid interference, and protocol limitations based on BLE data exchange strategy and operations such as connection intervals, packet size and packet acknowledgment scheme. In this paper, we practically investigate the maximum throughput achievable in a simple BLE 4.2 network of two nodes, used in a data logging application. In this type of application, one node always has data to transmit and the other node which collects the transmitted sensor data does not have any data to send. We will also consider the effect of BLE parameters in this study. The result of our study shows that the maximum amount of throughput is 221.7 kbps for this application under the condition that the wireless link is error free and application always has data to transmit.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"48 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":"127420537","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.2018.8614906
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.2018.8614823
G. Nneji, Jianhua Deng, Sarder S. Shakher, H. Monday, Basil C. Mbonu, Mercy C. Nneji
Antenatal classes are sometimes called parentcraft which help to prepare expectant mothers for their baby's birth, feeding the baby and to look after the baby. It is the best way to ensure expectant mothers stay healthy during pregnancy as well as to deliver confidence and information. This paper looks into the current state of antenatal education. It investigates the way antenatal classes are accessed by expectant mothers, the challenges they face in getting access to these classes and their attitudes towards these classes. For most women, it could be stressful and very inconvenient to attend physical antenatal classes. An online collaborative approach of interactive antenatal lecture for expectant mothers is proposed to replace these classes by providing live streaming lectures, discussion and interactive sessions between users. In order to accomplish this task, some face-to-face interviews were conducted. Questionnaires were also distributed. This paper adopted the Structured Systems Analysis and Design Method (SSADM) for the specification, development, and implementation. The web based system is implemented using PHP framework as Back-end, Front-End using HTML, CSS, JavaScript, XAMPP Server and MySQL was employed to handle the database structure. The web based system was implemented and tested using carefully thought out test cases which were successful. The proposed system offers antenatal education to expectant mothers no matter their location as well as a platform for discussion between expectant mothers, midwives, or anyone at all; sharing useful information amongst themselves and giving advice and encouragement to one another.
{"title":"Online Collaborative Approach of Interactive Antenatal Lectures for Expectant Mothers","authors":"G. Nneji, Jianhua Deng, Sarder S. Shakher, H. Monday, Basil C. Mbonu, Mercy C. Nneji","doi":"10.1109/IEMCON.2018.8614823","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614823","url":null,"abstract":"Antenatal classes are sometimes called parentcraft which help to prepare expectant mothers for their baby's birth, feeding the baby and to look after the baby. It is the best way to ensure expectant mothers stay healthy during pregnancy as well as to deliver confidence and information. This paper looks into the current state of antenatal education. It investigates the way antenatal classes are accessed by expectant mothers, the challenges they face in getting access to these classes and their attitudes towards these classes. For most women, it could be stressful and very inconvenient to attend physical antenatal classes. An online collaborative approach of interactive antenatal lecture for expectant mothers is proposed to replace these classes by providing live streaming lectures, discussion and interactive sessions between users. In order to accomplish this task, some face-to-face interviews were conducted. Questionnaires were also distributed. This paper adopted the Structured Systems Analysis and Design Method (SSADM) for the specification, development, and implementation. The web based system is implemented using PHP framework as Back-end, Front-End using HTML, CSS, JavaScript, XAMPP Server and MySQL was employed to handle the database structure. The web based system was implemented and tested using carefully thought out test cases which were successful. The proposed system offers antenatal education to expectant mothers no matter their location as well as a platform for discussion between expectant mothers, midwives, or anyone at all; sharing useful information amongst themselves and giving advice and encouragement to one another.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"1 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":"130469658","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.2018.8615028
Jun Kong, Jian Hou, Tianshan Liu, Min Jiang
Canny algorithm is one of the most widely used edge detection methods based on the optimal thought. However, it still has some drawbacks. In this paper on adaptive edge detection model based on improved Canny algorithm is proposed. Firstly, we replace the Gaussian smooth in standard Canny algorithm by the proposed morphology method to highlight the edge information and reduce the noise; secondly, the fractional differential theory is utilized to calculate gradient value, which further eliminate noise and enhance image details; next, we propose an interpolation method for non-maximum suppression, leading to a more accurate edge location; finally, a method based on Otsu's threshold method is proposed to get adaptive threshold. Compared with Canny algorithm and other existing methods, the proposed method has better detection accuracy and robustness.
{"title":"Adaptive Image Edge Detection Model Using Improved Canny Algorithm","authors":"Jun Kong, Jian Hou, Tianshan Liu, Min Jiang","doi":"10.1109/IEMCON.2018.8615028","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8615028","url":null,"abstract":"Canny algorithm is one of the most widely used edge detection methods based on the optimal thought. However, it still has some drawbacks. In this paper on adaptive edge detection model based on improved Canny algorithm is proposed. Firstly, we replace the Gaussian smooth in standard Canny algorithm by the proposed morphology method to highlight the edge information and reduce the noise; secondly, the fractional differential theory is utilized to calculate gradient value, which further eliminate noise and enhance image details; next, we propose an interpolation method for non-maximum suppression, leading to a more accurate edge location; finally, a method based on Otsu's threshold method is proposed to get adaptive threshold. Compared with Canny algorithm and other existing methods, the proposed method has better detection accuracy and robustness.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"1 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":"131343963","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.2018.8614896
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.2018.8614830
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}
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