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2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)最新文献

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A Novel Approach to Glaucoma Screening using Computer Vision 计算机视觉青光眼筛查的新方法
Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987803
Navoneel Chakrabarty, Subhrasankar Chatterjee
Glaucoma is one of the major and critical eye diseases discovered till date. It is actually a group of diseases that damage the optic nerve and subsequently result in vision loss and blindness. One of the major causes of Glaucoma is the intrinsic distortion of the optic nerve resulting in high fluid pressure on the front portion of the eye. The primary objective of the paper is to classify High Resolution Fundus images of the retina into Glaucomatous and Non-Glaucomatous. In order to achieve that, a DL-ML Hybrid Model has been developed with an initial image processing. The overall methodology followed in this paper has been termed as N-S Model. The HRF (High Resolution Fundus) Image Database consisting of 30 images is used for the purpose. The N-S Model was deployed after development and clocked a 100% Validation Accuracy and Sensitivity of 1.0. Such an Intelligent System can accelerate the process of diagnosis and reduce the review of doctors.
青光眼是迄今为止发现的主要和严重的眼病之一。它实际上是一组损害视神经并随后导致视力丧失和失明的疾病。青光眼的主要原因之一是视神经的固有扭曲导致眼睛前部的高流体压力。本文的主要目的是将视网膜高分辨率眼底图像分为青光眼和非青光眼。为了实现这一目标,开发了一个具有初始图像处理的DL-ML混合模型。本文所遵循的总体方法被称为N-S模型。使用由30张图像组成的HRF (High Resolution Fundus)图像数据库。N-S模型在开发后部署,验证精度为100%,灵敏度为1.0。这样的智能系统可以加快诊断过程,减少医生的审查。
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引用次数: 3
Dynamic Load Balancing Approach for Minimizing the Response Time Using An Enhanced Throttled Load Balancer in Cloud Computing 云计算中使用增强型节流负载平衡器最小化响应时间的动态负载平衡方法
Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987845
G. J. Mirobi, L. Arockiam
Cloud computing covers a broad range of cloud-based service models such as SaaS: Software as a Service, PaaS: Platform as a Service, IaaS: Infrastructure as a Service, XaaS: Everything as a Service, NaaS: Network as a Service and RaaS: Recovery as a Service. Whether the users are looking at SaaS, PaaS, IaaS, XaaS, NaaS or RaaS, the estimations are the same; fast development of the workloads placed on the VMs in the cloud and a maximized percentage of the IT budget moving toward cloud computing. Therefore, there is a need for an enhanced VM level load balancer to balance the VM level load. In this research, different dynamic load-balancing methods and enhanced algorithms are analyzed to develop a load balancer for allocating the workloads evenly to the VMs and to migrate the excess tasks from the overloaded VMs to the underloaded VMs. The motivation of our research is to propose an Enhanced Throttled Load Balancer for allocating the workloads evenly to all VMs and for minimizing the delay time and response time of the service. The proposed load balancer distributes the arriving requests evenly to all VMs and allocates the resources dynamically. Using the threshold value, the proposed load balancer categorizes the VMs as overloaded VMs, underloaded VMs and balanced VMs. If there is an overloaded VM then the proposed Enhanced Throttled Load Balancer finds out the suitable underloaded VM and automatically begins the task migration process to migrate the task to the underloaded VM from the overloaded VM thereby balance the load on VMs. The main use of the proposed load balancer is to balance the load on VMs and to control the overhead of the VM. This paper presents a dynamic load balancing approach using Enhanced Throttled Load Balancer that aids to reduce the delay time and the response time of the service.
云计算涵盖了广泛的基于云的服务模型,如SaaS:软件即服务、PaaS:平台即服务、IaaS:基础设施即服务、XaaS:一切即服务、NaaS:网络即服务和RaaS:恢复即服务。无论用户使用的是SaaS、PaaS、IaaS、XaaS、NaaS还是RaaS,估计都是一样的;在云中放置在vm上的工作负载的快速发展,以及向云计算转移的IT预算的最大百分比。因此,需要增强的虚拟机级负载均衡器来平衡虚拟机级负载。本研究分析了不同的动态负载均衡方法和增强算法,开发了一种负载均衡器,可以将负载均衡分配到虚拟机中,并将多余的任务从负载过载的虚拟机迁移到负载不足的虚拟机中。我们研究的动机是提出一个增强型节流负载均衡器,用于将工作负载均匀地分配给所有vm,并最大限度地减少服务的延迟时间和响应时间。负载均衡器将到达的请求均匀地分配到所有虚拟机,并动态地分配资源。负载均衡器根据阈值将虚拟机划分为过载虚拟机、欠载虚拟机和均衡虚拟机。如果存在负载过重的虚拟机,则建议的增强型节流负载均衡器会找到合适的负载过轻的虚拟机,并自动开始任务迁移过程,将任务从负载过重的虚拟机迁移到负载过轻的虚拟机,从而平衡虚拟机上的负载。所建议的负载均衡器的主要用途是平衡VM上的负载并控制VM的开销。本文提出了一种使用增强型节流负载均衡器的动态负载平衡方法,该方法有助于减少服务的延迟时间和响应时间。
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引用次数: 7
Proposing an Early Diagnostic Deep Learning Approach to Detect Lung Cancer from Short-Breaths 提出一种从短呼吸中检测肺癌的早期诊断深度学习方法
Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987580
Maria Patricia Peeris.T, P. Brundha
This paper proposes a deep learning approach that might help to diagnose lung cancer at an early stage. A deep neural network (DNN) will be trained via classification and clustering to predict disparity in the dimensions of the diaphragm. The model will use a rain forest algorithm (RFA) for the initial classification of the clippings. A deep clustering that uses a feed-forward attribute will be implemented for the second-half of the hidden layers. This model will be able to identify short breaths thereby resulting in the early diagnosis of lung cancer. The change in the breathing habits of individual will be highlighted by the trained model further prompting the individual to take remedial actions at a much early phase. The strategy behind the model is creating a scope in the form of an alert via an application or device with the integration of IoT platforms that can be later developed into a business model.
本文提出了一种深度学习方法,可能有助于在早期阶段诊断肺癌。深度神经网络(DNN)将通过分类和聚类来训练,以预测隔膜尺寸的差异。该模型将使用雨林算法(RFA)对剪枝进行初步分类。隐藏层的后半部分将实现使用前馈属性的深度集群。该模型将能够识别呼吸短促,从而导致肺癌的早期诊断。个人呼吸习惯的变化将被训练模型突出,进一步促使个人在更早的阶段采取补救措施。该模型背后的策略是通过应用程序或设备以警报的形式创建一个范围,并集成物联网平台,稍后可以开发成商业模型。
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引用次数: 0
Autonomous and Automated Vehicles – The Future Transportation Systems 自主和自动化车辆——未来的交通系统
Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987795
H. Anandakumar, R. Arulmurugan
Automated Vehicles (AV) are already in existence in developed countries such as the US and other nations in the Middle East. The present concerns concerning AV are not linked to the dilemma of whether the tech advancements have to be implemented or not. Instead, these concerns revolve around the main implications of these technologies in the effort of developing smart transportation frameworks in the world we live in. Moreover, there is a major concern about the likelihood of their systems being automated and remain in a manner which can be controlled by human beings. Apart from that, there is a major question: how does mobility transform the independent operations of autos dominant on highways? This question throws in another concern that involves the public being appraised fully and how science will affect the rate of communication through the various forms of social media. With that regard, this paper seeks to evaluate the concern and recommend strategies that can be used to mitigate the present emergent issue in transportation services.
自动驾驶汽车(AV)在美国等发达国家和中东其他国家已经存在。目前对自动驾驶的担忧与技术进步是否必须实施的困境无关。相反,这些担忧围绕着这些技术在我们生活的世界中开发智能交通框架的主要影响。此外,还有一个主要的担忧是,它们的系统可能被自动化,并以一种可以被人类控制的方式保持下去。除此之外,还有一个主要问题:移动出行如何改变汽车在高速公路上的独立运营?这个问题引发了另一个担忧,涉及公众被充分评估,以及科学将如何影响通过各种形式的社交媒体的传播速度。在这方面,本文试图评估人们的关注,并建议可用于缓解目前运输服务中出现的紧急问题的策略。
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引用次数: 0
Internet of Things Based Intelligent Security using Android Application 基于Android应用的物联网智能安防
Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987847
Gauri S. Girme, S. R. Patil
Security in the place of residence or home is gaining an increasing research interest from ICT researchers. The traditional security solution is Closed-Circuit Television [CCTV]. It is very useful to monitor the situation around home and offices, but it does not produce any notification. It has huge consumption of bandwidth and storage media. Automated appliance switching and automation is one of the recent interests in this paradigm. Switching OFF the lights and appliances is one of the best known ways to save electricity. Many times, people forget to switch it OFF when needed or keep them ON even when it is not needed. This will increase the electricity bill. All that can be avoided by using the Intelligent automated appliance switching system[2]. This system is based on the Internet of Things technology i.e. IoT, due to its wide use in the development of new products System intelligently detect the person outside the door is an owner or visitor or possible intruder. Android app is installed on owners mobile where pop up message is generated with the captured image. The owner then accept or reject the person and control command is sent to the system. System will open the door or remain closed accordingly. [1] System consists of IoT based hardware component, IIS server and android app. IR and PIR sensors are used for sensing the motion. Pi camera used for capturing the live video. Raspberry Pi 3B is the processor used The aim of the research is to develop a reasonable and high-yielding security and automated appliance switching system.
信息通信技术(ICT)研究人员对居住地或住所的安全越来越感兴趣。传统的安全解决方案是闭路电视(CCTV)。监视家庭和办公室周围的情况非常有用,但它不会产生任何通知。它有巨大的带宽和存储介质消耗。自动化设备切换和自动化是该范式中最近的兴趣之一。关掉电灯和电器是最著名的节约用电的方法之一。很多时候,人们忘记了在需要的时候关掉它,或者在不需要的时候让它开着。这将增加电费。所有这些都可以通过使用智能自动化设备切换系统来避免[2]。本系统是基于物联网技术即IoT,由于其在新产品开发中的广泛应用,系统可以智能检测门外的人是主人、访客还是可能的入侵者。Android应用程序安装在业主的手机上,弹出消息与捕获的图像生成。然后,所有者接受或拒绝该人,并将控制命令发送到系统。系统将相应地打开或保持关闭状态。[1]系统由基于物联网的硬件组件,IIS服务器和android应用程序组成。红外和PIR传感器用于感应运动。Pi相机用于捕捉实时视频。树莓派3B是采用的处理器,研究的目的是开发一个合理的、高产的安全和自动化的设备切换系统。
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引用次数: 0
Drain Current Simulation of Molybdenum Disulfide Based Devices 二硫化钼基器件的漏极电流模拟
Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987828
J. Pravin, B.Rushi Keshava Reddy, C. Saikumar, H. Sandeep
This paper presents the numerical model of MoS2 based transistor. The proposed structure having Molybdenum disulphide (MoS2) as channel material and SiO2 as gate oxide material. Output characteristics of MoS2 have been demonstrated using our proposed model. Compared with silicon, the MoS2 channel material provides the better drain current due to its larger band gap, high mobility and low power consumption. The IV Characteristics for the MoS2 material was measured by using the Technology Computer Aided Design (TCAD) simulation software.
本文提出了二硫化钼基晶体管的数值模型。所提出的结构以二硫化钼(MoS2)为通道材料,SiO2为栅氧化物材料。利用我们提出的模型证明了二硫化钼的输出特性。与硅相比,MoS2沟道材料由于其更大的带隙、高迁移率和低功耗而提供更好的漏极电流。利用技术计算机辅助设计(TCAD)仿真软件对二硫化钼材料的IV特性进行了测量。
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引用次数: 0
Convolutional Neural Network Based Land Cover Change Detection on Satellite Images 基于卷积神经网络的卫星影像土地覆盖变化检测
Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987810
Sushma Namidi, Sashedher Jaladi, Neelima Kunchala, Sandeep Kolluri
Change discovery is the way toward distinguishing distinction in the locations of an article or a marvel, by watching the equivalent geographic locale at various occasions. Numerous calculations have been connected to screen different natural changes. The project scope is to determine the change detection of an urban land using the multi temporal images, here the change discovery techniques are either supervised or unsupervised.
变化发现是通过观察不同场合的相同地理位置,来区分一件物品或一件奇迹的位置差异的方法。无数的计算被用于筛选不同的自然变化。项目范围是利用多时相图像确定城市土地的变化检测,这里的变化发现技术有监督或无监督。
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引用次数: 0
A Smart Aid for Visually Challenged in Face Detection and Recognition 一种面向视觉障碍的人脸检测与识别智能辅助工具
Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987853
A. Sravya, Kasturi Sai Chinmayi, L. N. Yoshita, Sailaja V, P. Manitha
Visually challenged people generally need assistance to navigate through the existing dynamic world and constantly face many obstacles in the process. With an aim to not let the physical challenges hinder their growth and render them independence, to an extent, this paper proposes a simple and economical device for the visually challenged. This device consists of a hat (with a camera attached) and headphones. The device warns the wearer if any person is approaching, through a voice message, and announces whether the said person is familiar (with name) or unknown. This enables the wearer to assess his/her surroundings. The hat is affordable and convenient to use without any complications. This can also be used by people with partial vision as well.
视觉障碍人士通常需要帮助才能在现有的动态世界中导航,并在此过程中不断面临许多障碍。为了不让身体上的障碍阻碍他们的成长,在一定程度上使他们独立,本文提出了一种简单经济的视觉障碍设备。该设备由一顶帽子(带有摄像头)和耳机组成。如果有人靠近,该设备会通过语音信息提醒佩戴者,并宣布该人是熟悉的(有名字)还是未知的。这使佩戴者能够评估他/她周围的环境。这顶帽子价格实惠,使用方便,没有任何并发症。这也可以用于部分视力的人。
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引用次数: 4
Performance Study of Smart Antenna for Long Range Wi-Fi Based Marine Communication 基于Wi-Fi的海上远程通信智能天线性能研究
Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987889
V. Jayakrishnan, Deepthy M. Vijayan
An improved antenna system with long range and good coverage is essential for Wi-Fi based marine communication system. For a sea to shore communication, the performance of a Smart Antenna (SA) at Base Station (BS) and Customer Premises Equipment (CPE) antenna in boat is used for Wi-Fi based marine communication system is presented in this paper. The results shows that, smart antenna at base station can provide more directionality and connectivity to focus the antenna beam towards the receiver CPE antenna fixed in boat. Compared to the directional antenna and phased array antenna, the proposed smart antenna at base station with multiple access technique can achieve a good coverage along with long range marine communication.
对于基于Wi-Fi的海上通信系统来说,具有远距离和良好覆盖的改进天线系统是必不可少的。针对海岸通信,介绍了基于Wi-Fi的海上通信系统中基站智能天线(SA)和船载客户端设备(CPE)天线的性能。结果表明,基站智能天线可以提供更多的方向性和连通性,将天线波束聚焦到固定在船上的接收机CPE天线上。与定向天线和相控阵天线相比,采用多址技术的基站智能天线能够在远距离海上通信中实现良好的覆盖。
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引用次数: 0
Reliability Improvement of Static Random Access Memory Bit-Cells 静态随机存取存储器位元的可靠性改进
Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987858
E. Leavline, A. Sugantha
The rapid growth in the semiconductor industry has paved the pathway for tremendous advancement in semiconductor memory technology. Internet of Things (IoT), wireless body sensor nodes and other high-end applications need power-efficient and reliable memories. Static Random Access Memory which is the heart of the chip occupies the major part of the area due to its importance. The demand for low power, deeply integrated and high-speed memory results in trade off between stability and area of the bit-cell, which are the two essential aspects of memory. As technology shrinks, the reliability of the memory gets affected. The stability involves soft error upset due to radiation in the working environment and the static noise margin is reduced due to process variation and operating conditions. In this paper, the SRAM bit-cell, which have both recovery from soft error upset and stability improvement by various read/write assist techniques, are discussed. The memory cells are designed using Cadence Virtuoso tool GPDK 180nm technology.
半导体工业的快速发展为半导体存储技术的巨大进步铺平了道路。物联网(IoT)、无线身体传感器节点和其他高端应用需要节能可靠的存储器。静态随机存储器作为芯片的核心,由于其重要性占据了大部分的面积。对低功耗,深度集成和高速存储器的需求导致在稳定性和位单元面积之间进行权衡,这是存储器的两个基本方面。随着技术的发展,内存的可靠性也会受到影响。稳定性涉及由于工作环境中的辐射而引起的软误差扰动和由于工艺变化和操作条件而减小的静态噪声裕度。本文讨论了通过各种读写辅助技术提高SRAM位单元的稳定性和从软错误破坏中恢复的问题。存储单元采用Cadence Virtuoso工具GPDK 180nm技术设计。
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引用次数: 0
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2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)
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