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2017 IEEE International Conference on Circuits and Systems (ICCS)最新文献

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Energy status, performance, management and conservation 能源状况、性能、管理和节约
Pub Date : 2017-12-01 DOI: 10.1109/ICCS1.2017.8325996
S. Raja, Siddhartha
Energy wastage is a serious issue in industries and office buildings. Around 40% of energy is consumed for HVAC systems and 15% of energy is consumed for lighting systems. Lighting is one area where energy can be conserved. But before that there arises a necessity to know the measures and policies and the need for the energy conservation. The main aim of the paper is to give an overall view of the process involved from setting the status, measures and policies to implementing the policies through audits and come out with new methods to achieve energy conservation for lighting systems.
能源浪费在工业和办公楼中是一个严重的问题。暖通空调系统消耗了大约40%的能源,照明系统消耗了15%的能源。照明是一个可以节约能源的领域。但在此之前,有必要了解节能的措施和政策以及节能的必要性。本文的主要目的是全面介绍从制定现状、措施和政策到通过审计实施政策的过程,并提出实现照明系统节能的新方法。
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引用次数: 1
Mesh smoothing of human body model based on Sqrt3 subdivision algorithm 基于Sqrt3细分算法的人体模型网格平滑
Pub Date : 2017-12-01 DOI: 10.1109/iccs1.2017.8325976
Gang Su, Xinrong Hu, Jiali Li, Wang Yin, Siyuan Chen
In this paper, a 3D human body meshed model with low resolution is obtained by parametric digital human modeling, but the meshed surface is not smooth enough to meet the requirements of practical application. To achieve the smoothing effect of the geometric model of digital human body, this paper proposes a mesh-smoothing method of 3D human model based on Sqrt3 subdivision algorithm. Experiment shows that this method applies to the multicurvature mesh body model based on parametric modeling method and achieves good results. The method is simple, efficient and of well-reserved feature.
本文通过参数化数字人体建模获得了低分辨率的三维人体网格模型,但网格表面不够光滑,不能满足实际应用的要求。为了达到数字人体几何模型的平滑效果,本文提出了一种基于Sqrt3细分算法的三维人体模型网格平滑方法。实验表明,该方法适用于基于参数化建模方法的多曲率网格体模型,取得了较好的效果。该方法简便、高效、保留性好。
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引用次数: 0
License plate detection using channel scale space and color based detection method 车牌检测采用通道尺度空间和基于颜色的检测方法
Pub Date : 2017-12-01 DOI: 10.1109/ICCS1.2017.8325967
X. A. Davix, C. Christopher, S. Christine
Vehicle detection is to detect vehicles that are being developed to provide traffic counting, vehicle classification. In existing method, vehicles are identified by using channel scale space of Red, Green, Blue (RGB) images, taking license plate as a feature. The union of edge image is taken by combining red region, green region, blue region and grey region. The shape of License Plate (LP) is referred as candidate shape. Based on the edge points there are few issues in the candidate shapes. They are outliers, open shape and fragmentation. The outliers are removed by the removal of outer outlier method which is to remove the unwanted projections in the candidate shapes. In proposed method, color based detection is used along with channel scale space technique. In this color based detection method, CIE-XYZ color model is used. By calculating the aspect ratio, the license plate is detected to identify the vehicles. The accuracy of this method is 94.23%.
车辆检测是对正在开发的车辆进行检测,提供流量统计、车辆分类。现有方法以车牌为特征,利用红、绿、蓝(RGB)图像的通道尺度空间进行车辆识别。利用红色区域、绿色区域、蓝色区域和灰色区域进行边缘图像的合并。车牌(LP)的形状称为候选形状。基于边缘点的候选形状几乎没有问题。它们是异常值,形状开放,碎片化。通过去除外部离群点方法去除离群点,即去除候选形状中不需要的投影。在该方法中,基于颜色的检测与通道尺度空间技术相结合。在这种基于颜色的检测方法中,使用了CIE-XYZ颜色模型。通过计算宽高比,检测车牌以识别车辆。该方法的准确率为94.23%。
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引用次数: 10
Arc-shaped cantilever beam RF MEMS switch for low actuation voltage 用于低驱动电压的弧形悬臂梁射频MEMS开关
Pub Date : 2017-12-01 DOI: 10.1109/ICCS1.2017.8326009
A. Khan, T. Shanmuganantham
With last two decades, Radio Frequency (RF) Microelectromechanical system (MEMS) switches are becoming more popular in the electronics domain. Since power consumption has become the highest concern in many electronics devices. The main concern in using RF MEMS switches is its high actuation voltage. Thus this paper generally focuses on the analysis and simulation of RF MEMS metal contact switch having an arc-shaped cantilever beam to obtain the low actuation voltage. Simulations are done using the finite element modeling (FEM). Intellisuite 8.7v software has been used to get the results of the switch. The design has been modified according to thickness of the beam and air gap to carry out electrostatic actuation. The pull-in voltage is obtained to be 1.4 V.
近二十年来,射频(RF)微机电系统(MEMS)开关在电子领域越来越受欢迎。由于功耗已成为许多电子设备中最受关注的问题。使用射频MEMS开关的主要问题是其高驱动电压。因此本文主要对采用弧形悬臂梁的射频MEMS金属触点开关进行分析和仿真,以获得较低的驱动电压。采用有限元模型进行了仿真。使用intellisite 8.7v软件对开关结果进行分析。根据梁的厚度和气隙对设计进行了修改,实现了静电驱动。拉入电压为1.4 V。
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引用次数: 4
A comparative analysis between DWT-bitplane slicing algorithm and histogram shape based algorithm for image watermarking dwt位平面切片算法与基于直方图形状的图像水印算法的比较分析
Pub Date : 2017-12-01 DOI: 10.1109/ICCS1.2017.8326026
Olivia Zacharia, Nimmy George
The ease of availability of digital data in this digital world has increased their unfair and unjust use which should be tackled with reliable and robust techniques. Digital images can be protected to a large extend with the application of watermarks. A large number of watermarking techniques have been developed during the past few decades and are found to be useful in one or the other way. This paper presents a comparative study between two different digital image watermarking algorithms — one based on Haar DWT and bit-plane slicing and the other is a histogram shape based method where the watermarking is done using an embedded security key. Moreover, the simulation results for the watermarking algorithm based on Haar DWT and bit-plane slicing using Xilinx ISE Design Suite are also used for comparison. Comparison is done mainly on the basis of Peak Signal to Noise Ratio and Mean Signal Error values for the images.
在这个数字世界中,数字数据的容易获得增加了对数字数据的不公平和不公正使用,应该用可靠和有力的技术来解决。应用水印技术可以在很大程度上保护数字图像。在过去的几十年里,大量的水印技术被开发出来,并被发现以一种或另一种方式有用。本文对两种不同的数字图像水印算法进行了比较研究,一种是基于Haar DWT和位平面切片的数字图像水印算法,另一种是基于直方图形状的数字图像水印算法,该算法使用嵌入式安全密钥进行水印。此外,利用Xilinx ISE Design Suite对基于Haar DWT和位平面切片的水印算法进行了仿真比较。主要根据图像的峰值信噪比和平均信号误差值进行比较。
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引用次数: 0
Design and analysis of high gain CMOS transconductance amplifier for low frequency application 低频高增益CMOS跨导放大器的设计与分析
Pub Date : 2017-12-01 DOI: 10.1109/ICCS1.2017.8326006
B. Kowsalya, S. Rajaram
An operational transconductance-amplifier (OTA) is mainly designed for low voltage and low frequency applications such as for the medical applications. The Operational Transconductance Amplifier (OTA) is the part in an analog integrated circuits for many wireless applications such as binural hearing aids. High gain is becoming more important in miniature devices because this parametric form provide the significant outcomes, so it becomes a challenge to design a low power OTA. The proposed design helps to generates the design parameters such as the Width/Length ratio are given to design specifications, such as, gain, unity gain-bandwidth, phase margin. This paper is mainly proposed for the low frequency application using transconductance amplifier.
一种可操作的跨导放大器(OTA)主要设计用于低电压和低频应用,如医疗应用。操作跨导放大器(OTA)是许多无线应用的模拟集成电路的一部分,如双耳助听器。高增益在微型器件中变得越来越重要,因为这种参数形式提供了重要的结果,因此设计低功耗OTA成为一个挑战。提出的设计有助于生成设计参数,如宽/长比,并给出设计规范,如增益,单位增益带宽,相位裕度。本文主要针对跨导放大器的低频应用进行了研究。
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引用次数: 3
Prediction of Remaining Useful Lifetime (RUL) of turbofan engine using machine learning 基于机器学习的涡扇发动机剩余使用寿命预测
Pub Date : 2017-12-01 DOI: 10.1109/ICCS1.2017.8326010
Vimala Mathew, Tom Toby, Vikram Singh, B. Rao, M. G. Kumar
Maintenance of equipment is a critical activity for any business involving machines. Predictive maintenance is the method of scheduling maintenance based on the prediction about the failure time of any equipment. The prediction can be done by analyzing the data measurements from the equipment. Machine learning is a technology by which the outcomes can be predicted based on a model prepared by training it on past input data and its output behavior. The model developed can be used to predict machine failure before it actually happens. There are different approaches available for developing a machine learning model. In this paper, a comparative study of existing set of machine learning algorithms to predict the Remaining Useful Lifetime of aircraft's turbo fan engine is done. The machine learning models were constructed based on the datasets from turbo fan engine data from the Prognostics Data Repository of NASA. Using a training set, a model was constructed and was verified with a test data set. The results obtained were compared with the actual results to calculate the accuracy and the algorithm that results in maximum accuracy is identified. We have selected ten machine learning algorithms for comparing the prediction accuracy. The different algorithms were compared to obtain the prediction model having the closest prediction of remaining useful lifecycle in terms of number of life cycles.
对于任何涉及机器的企业来说,设备维护都是一项至关重要的活动。预测性维护是基于对任何设备的故障时间的预测来安排维护的方法。预测可以通过分析设备的测量数据来完成。机器学习是一种技术,通过对过去输入数据及其输出行为进行训练,可以根据模型预测结果。所开发的模型可用于在机器实际发生故障之前进行预测。有不同的方法可用于开发机器学习模型。本文对现有的涡轮风扇发动机剩余使用寿命预测机器学习算法进行了比较研究。机器学习模型是基于来自美国宇航局预测数据存储库的涡轮风扇发动机数据集构建的。利用训练集构造模型,并用测试数据集进行验证。将所得结果与实际结果进行比较,计算精度,并确定出精度最大的算法。我们选择了10种机器学习算法来比较预测精度。对不同算法进行比较,得到在生命周期数方面对剩余有效生命周期预测最接近的预测模型。
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引用次数: 62
Survey of data and storage security in cloud computing 云计算中的数据和存储安全调查
Pub Date : 2017-12-01 DOI: 10.1109/ICCS1.2017.8325966
Ayesha Malik, Yunchuan Sun, Mazhar Ali
Data Security and consumer data privacy are the key challenges in cloud computing era. The appropriateness and privacy of data stored in cloud may be compromised because of limited security for data owners. This paper presents an extensive survey on privacy preservation, data and storage security challenging issues in cloud computing. The Security of cloud data is further analyzed in terms of data integrity, access control and attribute based encryption. The survey analyzes each category of work in detail. A comparison table is also presented along with the strength and weakness of each approach.
数据安全和消费者数据隐私是云计算时代面临的主要挑战。由于数据所有者的安全性有限,存储在云中的数据的适当性和隐私性可能会受到损害。本文对云计算中的隐私保护、数据和存储安全挑战问题进行了广泛的调查。从数据完整性、访问控制和基于属性的加密三个方面进一步分析了云数据的安全性。调查详细分析了每一类工作。并给出了比较表,列出了每种方法的优缺点。
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引用次数: 26
IOT based smart street light management system 基于物联网的智慧路灯管理系统
Pub Date : 2017-12-01 DOI: 10.1109/ICCS1.2017.8326023
P. P. F. Dheena, G. S. Raj, G. Dutt, S. V. Jinny
The aim of automated streetlight management system using IOT is the conservation of energy by reducing electricity wastage as well as to reduce the manpower. Streetlights are the elemental part of any city since it facilitates better night visions, secure roads, and exposure to public areas but it consumes a quite large proportion of electricity. In the manual streetlight system lights its powered from sunset to sunrise with maximum intensity even when there is sufficient light available. This energy wastage can be avoided by switching off lights automatically. The saved energy can be efficiently utilized for other purposes like residential, commercial, transportation etc. This can be achieved using an IOT enabled streetlight management system. The project uses Light Emitting Diodes (LED) that do not consume an enormous amount of electricity to replace the power consuming traditional HID lamps. LED lights along with LDR enables the intensity variation which is infeasible with the HID lamps. As LEDs are directional light sources it can emit light in specific direction thereby optimizing the efficiency of the streetlights. This system includes an additional DHT11 Temperature-Humidity sensor. This provides the exact temperature and humidity of a particular region. DHT11 is a composite sensor that contains a calibrated digital signal output of the temperature and humidity. It ensures high reliability and excellent long-term stability. This work is implemented using a programmed Arduino board for providing the required intensity of light at various times. The proposed work has achieved a better performance compared to the existing system.
使用物联网的自动化路灯管理系统的目的是通过减少电力浪费来节约能源,并减少人力。路灯是任何城市的基本组成部分,因为它促进了更好的夜景,安全的道路,并暴露在公共区域,但它消耗了相当大比例的电力。在手动路灯系统中,即使有足够的光线,它也可以从日落到日出以最大强度供电。这种能源浪费可以通过自动关灯来避免。节约的能源可以有效地用于住宅、商业、交通等其他用途。这可以通过启用物联网的路灯管理系统来实现。该项目使用不消耗大量电力的发光二极管(LED)来取代耗电的传统HID灯。LED灯和LDR灯可以实现强度变化,这是HID灯无法实现的。由于led是定向光源,它可以在特定方向发光,从而优化路灯的效率。该系统包括一个额外的DHT11温湿度传感器。这提供了特定地区的确切温度和湿度。DHT11是一种复合传感器,包含一个校准的温度和湿度的数字信号输出。它保证了高可靠性和优异的长期稳定性。这项工作是使用一个编程的Arduino板来实现的,它可以在不同的时间提供所需的光强度。与现有系统相比,所提出的工作取得了更好的性能。
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引用次数: 54
Design and modeling of PIN photodiode using MEMS technology 基于MEMS技术的PIN光电二极管设计与建模
Pub Date : 2017-12-01 DOI: 10.1109/ICCS1.2017.8326015
Shubankar Kumar, T. Shanmuganantham
This Paper describes a micro PIN photodiode model using Micro-electromechanical Systems (MEMS) technology. The model is developed using Comsol Multiphysics Software. This interface combines the semiconductor interface with the electromagnetic waves, frequency domain interface and is suitable for modeling direct band-gap optoelectronic semiconductor devices. This device is operated at a wavelength of 725 nm for the peak value of the current. The width and the height of the device is 0.5[μm] and 1[μm] respectively. This PIN photodiode can be uses as a light sensor for the solar applications like sun sensor, solar light, solar battery and solar instruments. It is also suitable for the industrial and inter terrestrial applications.
本文介绍了一种基于微机电系统(MEMS)技术的微型PIN光电二极管模型。该模型是用Comsol Multiphysics软件开发的。该接口将半导体接口与电磁波、频域接口相结合,适用于直接带隙光电半导体器件的建模。该装置的工作波长为725nm,为电流的峰值。器件的宽度为0.5[μm],高度为1[μm]。这种PIN光电二极管可以用作太阳能应用的光传感器,如太阳传感器,太阳能灯,太阳能电池和太阳能仪器。它也适用于工业和地面应用。
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引用次数: 0
期刊
2017 IEEE International Conference on Circuits and Systems (ICCS)
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