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2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)最新文献

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Review of Classification Techniques Using Deep Learning for Colorectal Cancer Imaging Modalities 基于深度学习的结直肠癌成像模式分类技术综述
Manju Dabass, Sharda Vashisth, R. Vig
Colorectal Cancer has nowadays become one of the major cause of mortality and morbidity worldwide. It is likely to be curable when detected early. But for ensuring its correct diagnosis, double checking of biopsy or colonoscopy images needed to be done. Due to which diagnostic burden on pathologists has increased. Thus in order to assist pathologists, various computerized automated image analysis method has been timely proposed for accurate cancer detection. In this paper, the various recent deep learning techniques proposed for detection and classification of colorectal cancer are discussed.
结直肠癌目前已成为世界范围内死亡率和发病率的主要原因之一。如果发现得早,很可能是可以治愈的。但为了确保其正确诊断,需要对活检或结肠镜检查图像进行双重检查。因此,病理学家的诊断负担增加了。因此,为了协助病理学家,各种计算机自动图像分析方法被及时提出,以准确检测癌症。本文讨论了最近提出的各种用于结直肠癌检测和分类的深度学习技术。
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引用次数: 5
Novel Electronic/Resistance Adjustable Capacitance Multiplier Circuit with VDCCs and Grounded Resistances 具有vdcs和接地电阻的新型电子/电阻可调电容倍增器电路
Kogara Naveen Kumar, P. Mouli, K. Das, M. Srivastava
A new capacitance multiplier circuit configuration is developed in this research communication which can multiply a value of a grounded capacitor through electronically/resistor tunable multiplication factor. The developed multiplier circuit is constructed employing two VDCCs and three grounded resistances along with grounded capacitance to be multiplied. The presented circuit enjoys following beneficial features: Use of only grounded resistances, grounded resistance/bias current tunable multiplication factor, low active and passive sensitivities of tuning factor, no need of active / passive element matching, and un-deviated behavior under non-ideal environment. The working of developed grounded capacitance multiplier is verified by developing a first order low pass filter employing it.
本研究开发了一种新的电容倍增电路结构,可以通过电子/电阻可调倍增因子使接地电容的值倍增。所开发的乘法器电路由两个vdc和三个接地电阻以及要乘的接地电容构成。本电路具有以下优点:仅使用接地电阻,接地电阻/偏置电流可调倍增因子,调谐因子的有源和无源灵敏度低,不需要进行有源/无源元件匹配,在非理想环境下不偏离。通过研制一阶低通滤波器,验证了所研制的接地电容倍增器的工作性能。
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引用次数: 4
SIMO Type Voltage-Mode Biquadratic Multifunction Filter SIMO型电压型双二次型多功能滤波器
J. Mohan, B. Chaturvedi, Atul Kumar, Jitender
A new circuit of voltage-mode biquadratic multifunction filter based on fully differential second generation current conveyor (FDCCII) is introduced in this paper. It is realized using one FDCCII, three resistors and two capacitors. The filtering functions namely, low-pass, high-pass, band-pass and band-reject (LP, HP, BP and BR, respectively) are simultaneously realizable from proposed biquadratic multifunction filter. The proposed biquadratic multifunction filter realizes the filtering responses without need of any component matching constraints. The non-ideal aspects of biquadratic multifunction filter circuit are also studied. The performance of the circuit of biquadratic multifunction filter is examined with the help of HSPICE simulations.
介绍了一种基于全差分第二代电流输送器(FDCCII)的新型电压型双二次型多功能滤波器电路。它是用1个FDCCII、3个电阻和2个电容实现的。该双二次型多功能滤波器可同时实现低通、高通、带通和带阻滤波功能(分别为LP、HP、BP和BR)。所提出的双二次型多功能滤波器实现了不需要任何分量匹配约束的响应滤波。研究了双二次型多功能滤波电路的非理想问题。利用HSPICE仿真测试了双二次型多功能滤波器电路的性能。
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引用次数: 2
A State-of-the-Arts and Prospective in Neural Style Transfer 神经风格迁移的现状与展望
Sagar, D. Vishwakarma
Artistic style transfer is one the enormous research fields in computer vision. It is a technique to synthesize a content image and the style together to form an stylized image. Various popular applications like Prisma, Deepart, Pikazoapp provide a platform to synthesis images in order to produce very exciting artistic style. These applications use Convolutional Neural Networks to transform the images in an artistic style. Prisma photo editor has more than 250 modern art filters and 110 million users. Hence, the amount of images being synthesized is huge and computation requires to perform the task efficiently is large. Abundant CNN architectures like VGG16, VGG19, GoogleNet etc are introduced to solve this problem of heavy computations. The system helps users to transform their images into artworks using style of famous artists for stirring image filters, and it might be useful for artists to have an indication about the art. This paper presents the fundamental concepts, classification of Style Transfer and major progress towards Neural Style Transfer.
艺术风格转换是计算机视觉研究的热点之一。它是一种将内容图像与风格图像综合起来形成风格化图像的技术。各种流行的应用程序,如Prisma, Deepart, Pikazoapp提供了一个合成图像的平台,以产生非常令人兴奋的艺术风格。这些应用程序使用卷积神经网络以艺术风格转换图像。Prisma照片编辑器拥有超过250个现代艺术滤镜和1.1亿用户。因此,合成的图像量非常大,有效执行任务所需的计算量也很大。大量的CNN架构如VGG16, VGG19, GoogleNet等被引入来解决这一繁重的计算问题。该系统利用著名艺术家的风格来搅动图像滤镜,帮助用户将自己的图像转换为艺术品,对于艺术家来说,这可能是一种有用的艺术暗示。本文介绍了风格迁移的基本概念、分类以及神经风格迁移的主要研究进展。
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引用次数: 1
Investigation of Multi-Protocol Label Switching for Intelligent Transportation Systems 智能交通系统中多协议标签交换的研究
Nitin Singh Rajput
Intelligent Transportation Systems have many applications, which may be applicable to human safety, traffic management, entertainment and comfort of the users, etc. Most of these applications require better Quality-of-Service provisioning and improved performance by the underlying communication network. Multi-Protocol Label Switching is an efficient and effective technique for forwarding packets along with supporting Quality-of-Service. This work present: an approach that involves integration of Multi-Protocol Label Switching into Intelligent Transportation Systems and investigates its applicability and work-ability in such systems. It would enable harvesting inbuilt capabilities of Multi-Protocol Label Switching in ITS.
智能交通系统的应用非常广泛,可以应用于人身安全、交通管理、用户娱乐和舒适等方面。这些应用程序中的大多数都需要底层通信网络提供更好的服务质量和改进的性能。多协议标签交换是一种高效的报文转发技术,同时支持服务质量。本工作提出了一种将多协议标签交换集成到智能交通系统中的方法,并研究了其在此类系统中的适用性和可操作性。它将实现ITS中多协议标签交换的内置功能。
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引用次数: 0
On the Use of Multi-Modal Sensing in Sign Language Classification 多模态感知在手语分类中的应用研究
Sneha Sharma, Rinki Gupta, Arun Kumar
In literature, sign language recognition (SLR) has been proposed using multi-channel data acquisition devices with various sensing modalities. When using wearable sensors, multimodality data acquisition has been shown to be particularly useful for improving the classification accuracies as compared to single modality data acquisition. In this work, a statistical analysis is presented to quantify the performance of different combinations of wearable sensors such as surface electromyogram (sEMG), accelerometers and gyroscopes in the classification of isolated signs. Twelve signs from the Indian sign language are considered such that the signs consist of static hand postures, as well as complex motion of forearm and simple wrist motions. Following four combinations of sensor modalities are compared for classification accuracies using statistical tests: 1) accelerometer and gyroscope 2) sEMG and accelerometer, 3) sEMG and gyroscope and finally, 4) sEMG, accelerometer and gyroscope. Results obtained on actual data indicate that the combination of all three modalities, namely sEMG, accelerometer and gyroscope yield the best classification accuracy of 88.25% as compared to the remaining sensor combinations. However, the statistical analysis of the classification accuracies using analysis of variance (ANOVA) indicates that the use of sEMG sensors is particularly useful in the classification of static hand postures. Moreover, the classification of signs involving dynamic motion of hands either with simple wrist motion or motion of hand along a complex trajectory is comparatively better with any sensing modality as compared to the classification of static hand postures.
在文献中,手语识别(SLR)已经被提出使用多通道数据采集设备与各种传感模式。当使用可穿戴传感器时,与单模态数据采集相比,多模态数据采集对提高分类精度特别有用。在这项工作中,提出了一种统计分析来量化可穿戴传感器(如表面肌电图(sEMG)),加速度计和陀螺仪等不同组合在孤立符号分类中的性能。来自印度手语的12个手势被认为是这样的,这些手势包括静态的手部姿势,以及复杂的前臂运动和简单的手腕运动。使用统计测试比较了以下四种传感器模式组合的分类精度:1)加速度计和陀螺仪;2)表面肌电信号和加速度计;3)表面肌电信号和陀螺仪;4)表面肌电信号、加速度计和陀螺仪。在实际数据上得到的结果表明,与其他传感器组合相比,表面肌电信号、加速度计和陀螺仪三种模式的组合分类准确率最高,为88.25%。然而,使用方差分析(ANOVA)对分类精度进行统计分析表明,表面肌电信号传感器在静态手势分类中特别有用。此外,与静态手部姿势的分类相比,任何感知方式下涉及手部动态运动或手部沿复杂轨迹运动的手势分类都相对更好。
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引用次数: 4
Feature Extraction and Recognition of Vehicle Registration for Wireless Transmission Over Different Network Protocols 基于不同网络协议无线传输的车辆登记特征提取与识别
Shreya Kohli, Manish Sharma, J. Sehgal
This paper illustrates the proposed model for vehicle registration feature extraction and its recognition using image processing and its wireless transmission over different network protocols with the help of GSM module. The aim of this work is to develop a standalone system for the vehicles surveillance by sending the fake vehicle registration number, over speeding vehicle registration number, odd-even vehicle registration number and many other, as an SMS to transport authority and various other departments. For the proposed application arduino is used whereas processing of images captured is done by MATLAB and data is transferred by serial communication. The basic concept and the working of the system is explained which presents a system with efficient performance of image processing and quick wireless transmission through GSM module. Further, a real time standalone system is to be developed based on the DSP processor (Beagle bone etc.) using same algorithms and concepts.
本文给出了基于图像处理的车辆登记特征提取与识别模型,并利用GSM模块在不同网络协议下进行无线传输。这项工作的目的是开发一个独立的车辆监控系统,通过发送假车辆登记号码,超速车辆登记号码,单双号车辆登记号码等,以短信的形式发送给运输当局和其他各部门。所提出的应用程序使用arduino,而捕获的图像处理由MATLAB完成,数据通过串行通信传输。阐述了系统的基本概念和工作原理,提出了一个通过GSM模块实现高效图像处理和快速无线传输的系统。此外,基于DSP处理器(Beagle bone等),使用相同的算法和概念,将开发一个实时独立系统。
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引用次数: 0
A Lightweight Authentication Scheme for Cloud-Centric IoT Applications 面向以云为中心的物联网应用的轻量级认证方案
Sampa Sahoo, Shreeya Swagatika Sahoo, P. Maiti, B. Sahoo, A. K. Turuk
Internet of Things (IoT) is an emerging paradigm that enables people to connect with sensors and devices. Meanwhile, security and privacy stands as a vital issue in field mission which connects thousands of devices, sends sensitive information to and from users, and offloads some information to the cloud. These connected devices are susceptible to vulnerabilities and security breaches. Authentication of IoT devices is crucial to control access in public networks. As traditional security mechanisms consume too much energy, researchers are attracted to lightweight security mechanisms for resource-constrained IoT system. In this paper, we proposed a lightweight authentication scheme for cloud-centric IoT applications. The formal security verification of the scheme has been carried out using widely accepted AVISPA tool. Also, the security analysis, computational and communicational cost demonstrates the proposed lightweight scheme is secure and efficient.
物联网(IoT)是一种新兴的范例,它使人们能够与传感器和设备连接。同时,在连接数千台设备,向用户发送敏感信息,并将一些信息卸载到云端的现场任务中,安全和隐私是一个至关重要的问题。这些连接的设备容易受到漏洞和安全漏洞的影响。物联网设备的身份验证对于控制公共网络中的访问至关重要。由于传统的安全机制消耗过多的能量,资源受限的物联网系统的轻量级安全机制吸引了研究人员。本文提出了一种以云为中心的物联网应用的轻量级认证方案。使用广泛接受的AVISPA工具对该方案进行了正式的安全验证。此外,安全性分析、计算成本和通信成本也证明了该轻量级方案的安全性和有效性。
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引用次数: 6
Design of CMOS Based D Flip-Flop with Different Low Power Techniques 基于CMOS的低功耗D触发器设计
Aman Bhardwaj, Vedang Chauhan, Manoj Kumar
This paper shows designs of CMOS based D flip flop circuits using the forced nMOS stacking, LCNT (leakage controlled nMOS transistor), and LECTOR (leakage controlled transistor). Flip-Flops are the critical foundation stones of all modern digital circuits. This paper reports design and analysis of various low power techniques. The simulations have been carried out in SPICE based on TSMC 180nm CMOS technology. Conventional D flip-flop using the primary CMOS inverters is used as a reference circuit. A comparison based on power consumption, propagation time delay, and PDP is carried out. The conventional design shows the power dissipation of 470.811pW with a supply of 1.8V. The LCNT and LECTOR technique shows the power dissipation of 471.216pW and 350.841pW respectively. The proposed forced nMOS stacking technique shows the power dissipation of 149.308pW which gave 68.28% reduction in power consumption as compared to the conventional circuit. The analysis gives us a deep insight about the performance of the circuit when subjected to different techniques, thereby improving certain aspects of the circuit with a slight trade-off in time delay in few instances.
本文展示了基于CMOS的D触发器电路的设计,采用强制nMOS堆叠,LCNT(泄漏控制的nMOS晶体管)和LECTOR(泄漏控制的晶体管)。触发器是所有现代数字电路的关键基石。本文报道了各种低功耗技术的设计和分析。在基于TSMC 180nm CMOS技术的SPICE中进行了仿真。传统的D触发器使用初级CMOS逆变器作为参考电路。基于功耗、传播时延和PDP进行了比较。常规设计功耗为470.811pW,电源为1.8V。LCNT和LECTOR技术的功耗分别为471.216pW和350.841pW。所提出的强制nMOS堆叠技术的功耗为149.308pW,与传统电路相比,功耗降低了68.28%。该分析使我们深入了解了当采用不同技术时电路的性能,从而在少数情况下以轻微的时间延迟折衷来改进电路的某些方面。
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引用次数: 0
Design of Bulk Micro-Machined Patch Antenna Arrays for Earth Exploration Satellite Services 用于地球探测卫星业务的大块微机械贴片天线阵列设计
Ashish Kumar, A. Singh
Micro-Machined Patch Antenna Array designs for X-band applications have been presented in this work. Conventional Patch antenna array has been designed on the high resistive ($8mathrm{K}Omega-text{cm}$) silicon substrate having thickness $675 mumathrm{m}$ with the corporate feed network. Conventional Array designs have been modified into the Micro-Machined antenna array to enhance the performance parameters. The Gain and Bandwidth has been improved with the application of Micro-Machined Antenna Array over the conventional Patch Antenna. In this work 2×1, 4×1 and 2×2 array has been designed. The proposed antenna designs can be used for the earth exploration satellite service (EESS) downlink which includes 8.025-8.4 GHz band also called International Telecommunication Union Bands.
本文介绍了用于x波段应用的微机械贴片天线阵列设计。传统的贴片天线阵列是在高阻($8mathrm{K}Omega-text{cm}$)硅衬底上设计的,厚度为$675 mumathrm{m}$,具有公司馈电网络。传统的阵列设计被改进为微机械天线阵列,以提高性能参数。与传统的贴片天线相比,微机械天线阵列的应用提高了天线的增益和带宽。本工作设计了2×1、4×1和2×2阵列。所提出的天线设计可用于地球探测卫星业务(EESS)下行链路,其中包括8.025-8.4 GHz频段,也称为国际电信联盟频段。
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引用次数: 0
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2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)
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