2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)最新文献_第9页

Enabling densely-scalable low-power WSNs for shipping and industrial IoT 为航运和工业物联网提供密集可扩展的低功耗无线传感器网络

2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) Pub Date : 2017-10-01 DOI: 10.1109/UEMCON.2017.8249097

J. M. Williams, Juan Ruiz-Rosero, Rahul Khanna, G. Pisharody, Yi Qian, J. Wang, C. Carlson, H. Liu, G. Ramírez-González

{"title":"Enabling densely-scalable low-power WSNs for shipping and industrial IoT","authors":"J. M. Williams, Juan Ruiz-Rosero, Rahul Khanna, G. Pisharody, Yi Qian, J. Wang, C. Carlson, H. Liu, G. Ramírez-González","doi":"10.1109/UEMCON.2017.8249097","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249097","url":null,"abstract":"Low-power technologies and communication protocols have enabled pervasive monitoring and the Internet of Things (IoT) for diverse applications. Yet, many wide-reaching use-cases such as shipping and industrial IoT (IIoT) demand next-generation energy-efficiency for wireless sensor networks (WSNs). The enormous growth requirements in this and related fields are not easily met by current state-of-the-art prototypes and comparisons are nontrivial among dozens of differentiating characteristics and impact factors. This work ideates a lightweight densely-scalable network of sensor nodes that must survive on a coin-cell battery for 15 days minimum, sending minute-to-minute alerts for remote analytics and control. This end-to-end solution enables status tracking throughout the shipping lifecycle with a quick-deploy WSN to detect damage/theft in near-real-time. This work contributes a scalable WSN (1) communication protocol, (2) software development kit, and (3) reference hardware. This full-stack system offers a self-configuring, customizable WSN for low-duty-cycle pervasive monitoring in a small, low-cost form-factor.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123514330","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}

引用次数: 6

Data mining approaches to identify predictors of frequent malpractice claims against dentists 数据挖掘方法用于识别针对牙医的频繁医疗事故索赔的预测因素

2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) Pub Date : 2017-10-01 DOI: 10.1109/UEMCON.2017.8249086

J. Finkelstein, Sinan Zhu

引用次数: 1

Deep learning for effective detection of excavated soil related to illegal tunnel activities 深度学习有效检测与非法隧道活动相关的挖掘土

2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) Pub Date : 2017-10-01 DOI: 10.1109/UEMCON.2017.8249062

Daniel Perez Ibanez, Debrup Banerjee, C. Kwan, Minh Dao, Yuzhong Shen, Kris Koperski, G. Marchisio, Jiang Li

引用次数: 39

RGB pixel analysis of fingertip video image captured from sickle cell patient with low and high level of hemoglobin 镰状细胞患者高、低血红蛋白指尖视频图像的RGB像素分析

2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) Pub Date : 2017-10-01 DOI: 10.1109/UEMCON.2017.8249004

M. Hasan, N. Sakib, Richard R. Love, Sheikh Iqbal Ahamed

{"title":"RGB pixel analysis of fingertip video image captured from sickle cell patient with low and high level of hemoglobin","authors":"M. Hasan, N. Sakib, Richard R. Love, Sheikh Iqbal Ahamed","doi":"10.1109/UEMCON.2017.8249004","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249004","url":null,"abstract":"The demand for medical image processing is ever growing, especially for medical device manufacturers, researchers, and innovators. In this article, we present the image processing of a fingertip video to investigate the relationship between image pixel information and different hemoglobin (Hb) levels. We use the smartphone camera to record the fingertip videos of different sickle cell patients. We also collect their clinical Hb records. We extract the red, green and blue (RGB) pixel of the video image and make the histogram of selected frames for each video. The averaged histogram values of those selected frames are used as an input feature matrix in the regression analysis. Linear regression as well as the partial least squares (PLS) algorithm is applied to the input feature matrix. We consider five sickle cell patients who received the blood transfusion. We analyze the thirty fingertip videos from five patients where each patient gave three videos at the same time. Fifteen fingertip videos are recorded before blood transfusion, and rest of the videos are captured after two weeks of their blood transfusion. Matlab tool is used for the data analysis and visual image presentation of the RGB image histogram values, masked RGB image, and the confusion matrix of this paper. The result generated from linear regression and the goodness of fit of PLS model shows the reliable performance of this research work.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126025631","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}

引用次数: 21

Performance of vertical multi junction solar cell for long distance wireless power transfer using high intensity laser beam 利用高强度激光束实现远距离无线电力传输的垂直多结太阳能电池性能

2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) Pub Date : 2017-10-01 DOI: 10.1109/UEMCON.2017.8249112

P. Sharma, Shaswata Banerjee, S. Bose, Biswajit Jana, Omkar Goswami, Surya Sen, Pradipan Dey, A. Bhunia, P. Modak, Arindam Shyam, Rajdip Mitra, A. Chandra, Rajib Sarkar, Supratim Sengupta, D. Raj, R. Kumar, Shiva Ashish, P. Mondal, Kamalesh Sarkar, Naushad Ahmed, Sougata Banerjee

{"title":"Performance of vertical multi junction solar cell for long distance wireless power transfer using high intensity laser beam","authors":"P. Sharma, Shaswata Banerjee, S. Bose, Biswajit Jana, Omkar Goswami, Surya Sen, Pradipan Dey, A. Bhunia, P. Modak, Arindam Shyam, Rajdip Mitra, A. Chandra, Rajib Sarkar, Supratim Sengupta, D. Raj, R. Kumar, Shiva Ashish, P. Mondal, Kamalesh Sarkar, Naushad Ahmed, Sougata Banerjee","doi":"10.1109/UEMCON.2017.8249112","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249112","url":null,"abstract":"Wireless Power Transfer to long distance objects has been a much awaited task for researchers and scientists but old technologies like magnetic resonance coupling method were failed to provide any satisfactory result for long distance power transfer though it was good for small or very near distance power transfer. Far distant moving objects like space stations, lunar modules, rovers, unmanned aerial vehicles or drones largely suffer from lack of power providing mechanism resulting in short flight time of these vehicles. Major limitation is poor endurance for helicopters and quad-copters due to their very less efficient design and nature of vertical take-off and landing in comparison to those vehicle having fixed wings. Unlimited flight endurance can be achieved by using laser power beaming to recharge any target having optical tracking system done by beam riding method. Here wireless power transmission using a high intensity laser beaming (HILB) system by illuminating vertical multi-junction solar cell (VMJSC) has been discussed and its performance is studied and analyzed. Many of the HILB systems have been used to examine the performance of VMJSC under different types of conditions. Here many of the methods like optimal receiver geometry, parallel cell back-feeding, laser wavelength, thermal effects and non-uniform illumination at high intensities are studied and analyzed. Suggestions are made to further improve the system and to achieve sufficient power densities. Study shows that VMJSC mechanism can be used for high intensity laser beaming to power transfer without being damaged and retaining its efficiency.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125708207","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}

引用次数: 3

Leveraging single board computers for anomaly detection in the smart grid 利用单板计算机在智能电网中进行异常检测

2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) Pub Date : 2017-10-01 DOI: 10.1109/UEMCON.2017.8249031

Suzanne J. Matthews, A. S. Leger

{"title":"Leveraging single board computers for anomaly detection in the smart grid","authors":"Suzanne J. Matthews, A. S. Leger","doi":"10.1109/UEMCON.2017.8249031","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249031","url":null,"abstract":"Smart Grid Technology is becoming an integral part of ensuring reliable and resilient operation of the power grid. The high sample rate and time synchronization of Phasor Measurement Units (PMUs) can provide enhanced situational awareness and more detailed information on power system dynamics as compared to traditional SCADA systems. A smart grid system must be able to detect alarm events (such as sudden voltage fluctuations or drops in current) in close to real-time. However, the communication network and bandwidth requirements to transfer large amounts of PMU data for realtime analysis is problematic. In this paper, we propose the use of a decentralized architecture for rapidly analyzing PMU data using single board computers to provide energy efficient monitoring locally in the power grid. This approach reduces communication requirements and enables real-time analysis. We present a novel anomaly detection scheme and test our approach on a real dataset of 1.4 million measurements derived from 8 PMUs from a 1000:1 scale emulation of a working power grid. Our results show that a single Raspberry Pi is sufficient to analyze data from multiple PMUs at a rate suitable for real-time analysis.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117352327","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}

引用次数: 14

Epilepsy seizure detection using EEG signals 利用脑电图信号检测癫痫发作

2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) Pub Date : 2017-10-01 DOI: 10.1109/UEMCON.2017.8249018

Zakareya Lasefr, Sai Shiva V. N. R. Ayyalasomayajula, K. Elleithy

{"title":"Epilepsy seizure detection using EEG signals","authors":"Zakareya Lasefr, Sai Shiva V. N. R. Ayyalasomayajula, K. Elleithy","doi":"10.1109/UEMCON.2017.8249018","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8249018","url":null,"abstract":"Epilepsy is a neurological disease that is referred to as a disorder of the central nervous system characterized by the loss of consciousness and convulsions. Epileptic patients are subject to epileptic seizures caused by abnormal electrical discharges that lead to uncountable movements, convulsions and the loss of consciousness. Approximately 50 million people around the world are diagnosed with epilepsy, children and adults in the age range of 65–70 years old are effected the most. Although the main cause of this disease is unknown, however, most of the symptoms of the epilepsy seizure can be medically treated. Epileptic patients are subject to seizures that cause uncontrollable movements and loss of consciousness which can lead to serious injuries, and sometimes death. As a result, computerized seizure detection techniques are vital solutions for epileptic patients to protect them from dangers at the time of a seizure. In this paper, we propose an epilepsy seizures detecting method that can be implemented in a hardware device to help epileptic patients. The Electroencephalogram (EEG) is widely recognized for diagnosing and assessing brain activities and disorder. Our study utilized an EEG datasets that is used in various research regarding epilepsy detection. We processed the EEG signal in both time and frequency domains and applied a Chebyschev filter for preprocessing the signal, then, by using Wavelet Analysis, we decomposed the filtered signal into five sub-bands in both time and frequency domain. However, we only used the Delta sub-band for further processing. Discrete Wavelet Transform was used for feature extraction, then thresholding was implemented in order to determine the noisy part of the signal. Moreover, we applied some widely used classifiers for epilepsy seizure detection, and compared our results with other approches.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130394585","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}

引用次数: 27

Heterogeneous network formation by non-collaborative coexistence mechanism 非协同共存机制形成异质网络

2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) Pub Date : 2017-10-01 DOI: 10.1109/UEMCON.2017.8249002

S. S. Salwe, Krishna Naik Karamtot

引用次数: 0

Artificial Swarm Intelligence amplifies accuracy when predicting financial markets 人工群体智能提高了预测金融市场的准确性

2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) Pub Date : 2017-10-01 DOI: 10.1109/UEMCON.2017.8248984

Louis B. Rosenberg, N. Pescetelli, G. Willcox

{"title":"Artificial Swarm Intelligence amplifies accuracy when predicting financial markets","authors":"Louis B. Rosenberg, N. Pescetelli, G. Willcox","doi":"10.1109/UEMCON.2017.8248984","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8248984","url":null,"abstract":"Across the natural world, many species have evolved methods for amplifying their decision-making accuracy by thinking together in real-time closed-loop systems. Known as Swarm Intelligence (SI) in the field of biology, the process has been deeply studied in schools of fish, flocks of bird, and swarms of bees. The present research looks at human groups and tests their ability to make financial predictions by forming online systems modeled after natural swarms. Specifically, groups of financial traders were tasked with predicting the weekly trends of four common market indices (SPX, GLD, GDX, and Crude Oil) over a period of 14 consecutive weeks. Results showed that individual participants, who averaged 61% accuracy when predicting weekly trends on their own, amplified their accuracy to 77% when predicting together as real-time swarms. These results reflect a 26% increase in financial prediction accuracy and show high statistical significance (p=0.001). This suggests that enabling groups of traders to form real-time systems online, governed by swarm intelligence algorithms, has the potential to significantly increase the accuracy of financial forecasts.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132108281","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}

引用次数: 21

The design and implementation of a smart parking meter for Internet of Vehicle (IoV) 车联网(IoV)智能停车计时器的设计与实现

2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) Pub Date : 2017-10-01 DOI: 10.1109/UEMCON.2017.8248997

Oluwatimilehin Olumolade, Haowen Jiang, Alexander Forde, Yazeed Almania, Barjas Alsahli, Yu Zhang, Md Anam Mahmud, A. Abdelgawad, K. Yelamarthi

{"title":"The design and implementation of a smart parking meter for Internet of Vehicle (IoV)","authors":"Oluwatimilehin Olumolade, Haowen Jiang, Alexander Forde, Yazeed Almania, Barjas Alsahli, Yu Zhang, Md Anam Mahmud, A. Abdelgawad, K. Yelamarthi","doi":"10.1109/UEMCON.2017.8248997","DOIUrl":"https://doi.org/10.1109/UEMCON.2017.8248997","url":null,"abstract":"The Internet of Things is becoming a more widely used technology in society. It is often used to refer to the evergrowing network of interrelated devices, or “things”, that are capable of transmitting or receiving data over a network to other “things” and systems. As the use of IoT continues to grow, as does the number of industries, seeking to take advantages of the technological ecosystem — vehicles being one of the largest. This concept is called Internet of Vehicles (IoV). This paper discusses the creation of a scalable and inexpensive solution to a smart parking meter. This parking meter system was used to optimize parking in congested areas by determining and relaying parking availability using infrared sensors integrated with radio frequency (RF) technology, respectively. Information was to be relayed to a server named Thingworx, enabling vehicle-drivers to reserve and navigate directly to parking spaces through the use of a touchscreen vehicle module, ultimately reducing congestion and saving fuel.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126104536","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}

引用次数: 3