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2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)最新文献

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Effect of latitude and longitude on bounding sigma at low-latitude stations for GBAS applications 纬度和经度对GBAS低纬度站点边界sigma的影响
Pub Date : 2016-12-01 DOI: 10.1109/WIECON-ECE.2016.8009083
A. Reddy, A. D. Sarma
In modern satellite based navigation systems for aviation applications, Ground Based Augmentation System (GBAS) is set to become an important part of the systems for ensuring safe and reliable Precision Approach (PA) and landing of aircrafts. The performance of GBAS is limited by spatial decorrelation of ionospheric delays (spatial gradients). No significant work has been done on this aspect at low and equatorial latitude regions, especially in the context of LAAS. In our statistical analysis of spatial gradients, TEC data from Indian Space Based Augmentation System (SBAS), namely GAGAN stations is used. Probability Density Function (PDF) of ionospheric gradients is compared with one-sigma Gaussian curve, to compute the bounding sigma, which in turn will be used in the estimation of Protection Levels (PLs) by the aircraft. Variation of gradients with respect to two key parameters namely latitude and longitude have been analyzed. Our results show that, the bounding sigma is high at low latitudes and varies drastically as latitude changes. But for a given latitude, longitudinal variations do not have much effect on the bounding sigma. Results presented in this paper helps to design and develop an efficient GBAS for low-latitude regions.
在现代航空卫星导航系统中,地基增强系统(GBAS)将成为保证飞机安全可靠精确进近和着陆的重要组成部分。电离层延迟的空间解相关(空间梯度)限制了GBAS的性能。在低纬和赤道地区,特别是在LAAS的背景下,在这方面没有做过重要的工作。在我们的空间梯度统计分析中,使用了来自印度天基增强系统(SBAS)即GAGAN站的TEC数据。将电离层梯度的概率密度函数(PDF)与1 -sigma高斯曲线进行比较,计算出边界sigma,并将其用于飞机防护等级(PLs)的估计。分析了梯度随纬度和经度两个关键参数的变化情况。结果表明,边界σ在低纬度地区较高,且随着纬度的变化变化剧烈。但对于给定的纬度,纵向变化对边界西格玛的影响不大。本文的研究结果有助于设计和开发高效的低纬度地区GBAS。
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引用次数: 2
A laboratory set-up for power quality disturbance generator and real time power quality monitoring 电能质量扰动发生器和电能质量实时监测的实验室装置
Pub Date : 2016-12-01 DOI: 10.1109/WIECON-ECE.2016.8009088
Chetan B. Khadse, M. Chaudhari, V. Borghate
Solid State relay based single phase power quality disturbance generator is proposed in this paper. Digital control system based on microcontroller 89C51 is implemented to control the duration of power quality disturbances. Voltage sag, swell and interruption are generated. Dimmerstat is used to change the voltage levels and so to control the intensity of disturbances. Design of proposed generator is discussed. Simple design and use of easily available components makes this generator economic. It is highly suitable in power quality laboratory for experimental work. Students working on voltage sag/swell compensation and monitoring of power quality events can use this generator. Proposed generator is used as an application for PC based real time power quality monitoring system. Monitoring system is designed in LabVIEW. For fetching the real time signal, voltage sensor and data acquisition system are used. Results of real time detection of disturbances and classification of disturbances into momentary, temporary, instantaneous and under voltage or over voltage are done by monitoring system and presented in this paper.
提出了一种基于固态继电器的单相电能质量扰动发生器。基于单片机89C51实现了电能质量扰动持续时间的数字控制系统。产生电压凹陷、膨胀和中断。调光器用于改变电压水平,从而控制干扰的强度。讨论了该发电机的设计。简单的设计和使用容易获得的组件,使该发电机经济。它非常适用于电能质量实验室的实验工作。从事电压跌落/膨胀补偿和电能质量事件监测的学生可以使用该发电机。该发电机在基于PC机的电能质量实时监测系统中得到了应用。在LabVIEW中设计了监控系统。为了获取实时信号,采用了电压传感器和数据采集系统。本文介绍了监测系统实时检测干扰的结果,并将干扰分为瞬时、暂态、瞬时、欠压或过压。
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引用次数: 4
An efficient scheme for detecting region of interest encompassing the brain tumor from 3D MRI data based on voxel statistics 一种基于体素统计的三维MRI数据检测脑肿瘤周围感兴趣区域的有效方案
Pub Date : 2016-12-01 DOI: 10.1109/WIECON-ECE.2016.8009130
Samee Azad, S. Fattah, N. S. Pathan, Md. Toky Foysal Talukdar, Farhin Ahmed, Projna Paromita
Segmentation of a region containing the brain tumor from 3D magnetic resonance imaging (MRI) data can help physicians to diagnose accurately the size and malignancy of the tumor. However, manual segmentation is time consuming and involves risk of having inaccurate result. In this paper, an automatic method of segmenting the region of interest (ROI), a region encompassing the brain tumor and its neighborhood, is proposed based on voxel statistics. In the proposed method, first possible candidate selection is performed utilizing intensity characteristics of tumor region in the FLAIR and T1 images of MRI data. Next, a cubic shaped 3D mean filtering operation is applied on the whole volumetric data to obtain filtered volume where some random intensity behavior is expected to be eliminated. Finally, from the resulting 3D FLAIR data, ROI is extracted based on cumulative distribution function of intensity. It is found that the extracted ROI offers significant reduction of the overall MRI volume without losing tumor data. The proposed ROI extraction scheme is tested on 20 real life high grade tumor cases obtained from a widely used database and a very satisfactory performance is obtained in terms of segmentation accuracy, overall volume reduction and computational time.
从三维磁共振成像(MRI)数据中分割包含脑肿瘤的区域可以帮助医生准确诊断肿瘤的大小和恶性程度。然而,手动分割是耗时的,并且存在产生不准确结果的风险。本文提出了一种基于体素统计的自动分割感兴趣区域(ROI)的方法,即脑肿瘤及其邻域的区域。在所提出的方法中,首先利用MRI数据的FLAIR和T1图像中肿瘤区域的强度特征进行可能的候选选择。接下来,对整个体积数据进行立方形状的三维平均滤波运算,得到滤波后的体积,其中期望消除一些随机强度行为。最后,从得到的3D FLAIR数据中,基于强度的累积分布函数提取ROI。研究发现,提取的ROI在不丢失肿瘤数据的情况下显著减少了整体MRI体积。本文提出的ROI提取方案在一个广泛使用的数据库中获得的20个真实高级别肿瘤病例上进行了测试,在分割精度、总体体积缩减和计算时间方面都取得了令人满意的效果。
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引用次数: 4
Synthesis of mercury (Hg) nano range particles 汞纳米级颗粒的合成
Pub Date : 2016-12-01 DOI: 10.1109/WIECON-ECE.2016.8009079
B. Krishna, B. Nalinikant, M. Rao, D. K. Golhani, Manisha Soni Golhani
In this research, mercury (Hg) nano range (4nm–40nm) particles were synthesized by a new biophysical technique. Mercury nano range particles had been fabricated by biological cells (Staphylococcus sciuri) under low magnetic field and size depends on the kind of biological cells and the strength of magnetic field. A low strength of magnetic field and good quantity of biological cells facilitated the formation of mercury nano range particles which is due to the effect of environment created by the biological cells on Hg under magnetic field. The purpose of this paper is to report synthesis of mercury nano range particles.
本研究采用一种新的生物物理技术合成了纳米范围(4nm-40nm)的汞(Hg)颗粒。利用生物细胞(葡萄球菌)在低磁场条件下制备了汞纳米级颗粒,其大小取决于生物细胞的种类和磁场强度。磁场强度低,生物细胞数量多,有利于汞纳米级颗粒的形成,这是由于生物细胞在磁场作用下产生的环境对汞的影响所致。本文的目的是报道纳米级汞颗粒的合成。
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引用次数: 0
Magnetic levitation of solar powered motor with forward-reverse operation: Mathematical design consideration 正反转太阳能电机的磁悬浮:数学设计考虑
Pub Date : 2016-12-01 DOI: 10.1109/WIECON-ECE.2016.8009117
T. Rachcha, S. Funde, Naresh Dhopare, Kiran Harihar
Recently our Honourable Prime Minister Mr. Narendra Modi has announced a scheme for villagers related to irrigation purpose. Under this scheme solar powered dc motor will be used for running pumps in farms financed by Government of India. In this context an effort is made to design light weight magnetically levitated solar powered dc machine which can work at same time as motor and generator. The proposed dc machine is also directly solar powered thus bypassing the use of the battery for storing the solar energy. Hall Effect sensors are used for switching on and switching off and speed control of the proposed dc machine. However in the absence of sunlight, battery (charged from solar energy) can be attached to the proposed dc machine. The structure of the machine is made from acrylic sheet, the rotor is made using a disc cut from acrylic sheet and stator windings are wound on light weighted bobbins. Total twelve coils are used in the stator out of which six coils are used for motoring purpose and remaining six coils are used for generation purpose. The proposed dc machine is a brushless dc machine hence avoiding the use of commutators. Thus by making the above mentioned modifications in the construction of the conventional existing dc machine, the size, weight, volume and cost of the proposed dc machine is reduced drastically. As the designed dc machine can work as motor and generator at the same time, hence it can be used by the farmers for irrigation purpose during day time and for lighting their homes during night.
最近,我们尊敬的总理纳伦德拉·莫迪先生宣布了一项与灌溉有关的村民计划。根据该计划,太阳能直流电机将用于运行由印度政府资助的农场的水泵。在此背景下,设计一种轻型磁悬浮太阳能直流电动机,它可以同时作为电动机和发电机工作。所提出的直流机器也直接由太阳能供电,从而绕过使用电池来存储太阳能。霍尔效应传感器用于直流电机的开关和速度控制。然而,在没有阳光的情况下,电池(由太阳能充电)可以连接到提议的直流机器上。机器的结构由亚克力片制成,转子由亚克力片切割的圆盘制成,定子绕组缠绕在轻质线轴上。定子总共使用了12个线圈,其中6个线圈用于驱动目的,其余6个线圈用于发电目的。所提出的直流电机是一种无刷直流电机,因此避免了换向器的使用。因此,通过对现有传统直流电机的结构进行上述修改,所提出的直流电机的尺寸、重量、体积和成本都大大减少。由于所设计的直流电机可以同时作为电机和发电机工作,因此它可以在白天用于灌溉,晚上用于照明。
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引用次数: 0
Signature recognition on bank cheques using ANN 基于神经网络的银行支票签名识别
Pub Date : 2016-12-01 DOI: 10.1109/WIECON-ECE.2016.8009084
Shubhangi L. Karanjkar, P. Vasambekar
In India, now-a-days 95% of Indians are expected to use the bank transactions even for day-to-day requirements. Recognizing the genuine signature and finding out the fraud signature is the challenging task. Here, we have used an approach of Artificial Neural Network (ANN) to recognize the signature. In this method a signature is collected from the bank cheque by cropping the area of interest. Further it is trained and stored into the trained database. Then signatures to be tested are compared with the signatures that are stored into the test database. Area, centroid, skewness, standard deviation, mean of the signature images are the parameters used to recognize the signature. By comparing the signatures from the parameters that are derived, the system can recognize the original signature.
在印度,如今95%的印度人甚至会使用银行交易来满足日常需求。识别真实签名和发现欺诈签名是一项具有挑战性的任务。在这里,我们使用了人工神经网络(ANN)的方法来识别签名。在这种方法中,通过裁剪利息区域从银行支票中收集签名。然后对其进行训练并存储到训练过的数据库中。然后将待测试的签名与存储在测试数据库中的签名进行比较。签名图像的面积、质心、偏度、标准差、均值是用来识别签名的参数。通过对导出的参数签名进行比较,系统可以识别原始签名。
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引用次数: 2
HearMe: A smart mobile application for mitigating women harassment HearMe:减轻女性骚扰的智能手机应用程序
Pub Date : 2016-12-01 DOI: 10.1109/WIECON-ECE.2016.8009093
S. Akash, Md. Al-Zihad, Tamal Adhikary, M. Razzaque, Arifa Sharmin
Sexual violence against women has become one of the most important social security problems in South Asian region. None of the existing humanitarian mobile applications exactly contains the features that a victim needs in times of danger or immediately after being victimized. In this paper, we develop a smart mobile application, namely HearMe, with multiple unique features including lock screen access and instant siren on the receiver device. The modules of HearMe application can be accessed through hardware buttons in order to facilitate quick access to the victim woman. Another important feature of HearMe is to blow a loud siren at the receiver device even if the mobile is in silent mode, increasing the reliability of getting help from the family members or hospital/police station personnel.
针对妇女的性暴力已成为南亚地区最重要的社会安全问题之一。现有的人道主义移动应用程序都没有完全包含受害者在危险时刻或受害后立即需要的功能。在本文中,我们开发了一个智能移动应用程序,即HearMe,它具有多个独特的功能,包括锁屏访问和接收设备上的即时警报。HearMe应用程序的模块可以通过硬件按钮进行访问,以便快速访问受害妇女。“HearMe”的另一个重要功能是,即使手机处于静音模式,它也会在接收设备上发出响亮的警报声,从而增加了从家人或医院/警察局人员那里获得帮助的可靠性。
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引用次数: 24
Detection of sleep apnea using sub-frame based temporal variation of energy in beta band in EEG 基于子帧的脑电β波段能量时间变化检测睡眠呼吸暂停
Pub Date : 2016-12-01 DOI: 10.1109/WIECON-ECE.2016.8009131
Farhin Ahmed, Projna Paromita, A. Bhattacharjee, S. Saha, Samee Azad, S. Fattah
Sleep apnea is a sleep disorder that affects one's breathing during sleep. A large number of people all over the world are suffering from this disease. Electroencephalogram (EEG) provides electrical activity of the brain signal that enables physicians to diagnose and monitor sleep apnea events. In this paper, an efficient scheme for classifying apnea and non-apnea events of an apnea patient is proposed based on temporal variation of Beta band energy in a frame of EEG data. Unlike conventional approaches, instead of extracting features from the whole frame at a time, a given test frame of EEG signal is divided into overlapping sub-frames and spectral characteristics are extracted from each pre-processed sub-frame. By investigating the spectro-temporal characteristics of all the traditional frequency bands of EEG signal, it is found that the temporal variation of spectral energy in Beta band plays the dominant role in classifying apnea and non-apnea events. Statistical features are extracted from the temporal pattern of Beta band energy and are used in K nearest neighborhood classifier. Extensive experimentation is carried out on several apnea patients with various apnea indices and a very satisfactory apnea detection performance is achieved in comparison to that obtained by some existing methods.
睡眠呼吸暂停是一种睡眠障碍,影响睡眠时的呼吸。全世界有很多人患有这种疾病。脑电图(EEG)提供脑电信号的电活动,使医生能够诊断和监测睡眠呼吸暂停事件。本文提出了一种基于脑电图数据框架中β波段能量的时间变化,对呼吸暂停患者的呼吸暂停和非呼吸暂停事件进行分类的有效方案。与传统方法不同的是,该方法将给定的脑电信号测试帧分成重叠的子帧,并从每个预处理的子帧中提取频谱特征,而不是一次提取整个帧的特征。通过研究脑电信号各传统频段的频谱-时间特征,发现β频段频谱能量的时间变化对呼吸暂停和非呼吸暂停事件的分类起主导作用。从Beta波段能量的时间模式中提取统计特征并用于K最近邻分类器。对多例不同呼吸暂停指数的患者进行了大量的实验,与现有的一些方法相比,获得了非常满意的呼吸暂停检测性能。
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引用次数: 18
Comparative study of fault recovery techniques in Wireless Sensor Network 无线传感器网络故障恢复技术的比较研究
Pub Date : 2016-12-01 DOI: 10.1109/WIECON-ECE.2016.8009102
S. Mitra, Ajanta Das, Snehashis Mazumder
Wireless Sensor Network (WSN) is an integration of simple sensing, processing, storage and communication technology into cheap miniature sized devices. Distributed WSN is used for ambient intelligence, where tiny senor nodes sense, process and communicate signals to the base station (BS) for smart decision making. Nodes are deployed randomly in any unattended area for monitoring any physical attribute of the same; hence faults are quite trivial to take place. Therefore to maintain health of WSN, in-built self evaluation and in-built self recovery, is necessary. In this article various fault recovery techniques are studied and analyzed, which can enlighten us for proposing a novel energy aware fault recovery scheme for homogeneous WSN in future; which further can be integrated with an existent fault tolerant framework already proposed by us. This study also enables to get a clearer picture on the current state of technology for fault recovery in WSN.
无线传感器网络(WSN)是一种将简单的传感、处理、存储和通信技术集成到廉价的微型设备中的技术。分布式无线传感器网络用于环境智能,其中微小的传感器节点感知、处理并将信号传递给基站(BS)以进行智能决策。节点随机部署在无人值守区域,监控节点的任何物理属性;因此,发生故障是相当微不足道的。因此,为了保持无线传感器网络的健康,有必要进行内置自我评估和内置自我恢复。本文对各种故障恢复技术进行了研究和分析,为今后提出一种新的能量感知故障恢复方案提供了启示;可以进一步与已有的容错框架进行集成。本研究也使我们对WSN故障恢复技术的现状有了更清晰的认识。
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引用次数: 11
Adaptive dimming scheme based daylight pipe integrated indoor lighting system under Perez All-weather sky model Perez全天候天空模型下基于自适应调光方案的日光管集成室内照明系统
Pub Date : 2016-12-01 DOI: 10.1109/WIECON-ECE.2016.8009122
Purnima Mandal, B. Roy
An adaptive dimming scheme is proposed for a daylight pipe(DLP) integrated indoor general lighting system to maintain the desired illuminance level and uniformity of light distribution on horizontal working plane. The proposed dimming scheme simultaneously controls the lumen delivery from both DLPs and lamps. The daylight delivery of the DLPs is adjusted by a control logic based on dynamic outdoor light level whereas lamps follow separate control logic based on dynamic daylight illuminance distribution on working plane. Electrochromic(EC) glass sheet is used with emitter of DLPs to control its lumen delivery whereas lamps are driven by dimmable electronic ballasts. The outdoor daylight level is obtained with Perez All-weather sky model by utilizing measured solar radiation database. The proposed control scheme is implemented through a developed program in Matlab environment and its performance is tested by a sample indoor space at Kolkata. Simulation results are satisfactory in terms of illuminance level, its distribution and indicates significant amount of energy saving of the order of 80% for the duration 8AM to 5PM.
提出了一种用于日光管集成室内普通照明系统的自适应调光方案,以保持水平工作面上所需的照度和光分布均匀性。所提出的调光方案同时控制dlp和灯的流明输出。dlp的日光传输通过基于动态室外光照水平的控制逻辑进行调节,而灯具则遵循基于工作面上动态日光照度分布的单独控制逻辑。电致变色(EC)玻璃片与dlp的发射器一起使用以控制其流明输出,而灯由可调光的电子镇流器驱动。室外日照水平采用Perez全天候天空模型,利用实测太阳辐射数据库。在Matlab环境下通过编写的程序实现了所提出的控制方案,并在加尔各答的一个室内样本空间中对其性能进行了测试。模拟结果令人满意的照度水平,它的分布,并表明在上午8点到下午5点期间节能80%的显著量。
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引用次数: 5
期刊
2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)
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