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Classification of Acute Liver Failure using Machine Learning Algorithms 使用机器学习算法对急性肝衰竭进行分类
Diganta Sengupta, Subhash Mondal, Sanway Basu, Anish Kumar De, Shaumik Nath, Amartya Pandey
With changing lifestyles, Acute Liver Failure (ALF) has been witnessed in masses lately. In order to properly diagnose and probable arrest of the ailment, this study classifies ALF using ten standard machine learning (ML) on a publicly available dataset containing 8785 data points. The dataset was divided into two sets – DF1 (containing 90% of the data), and DF2 (containing 10% of the data). DF1 was used for training and validation using a data share of 80:20 for train:validate. DF2 was used for testing. The models were further tuned which reflected a train accuracy, and F1-Score of 99.6%, and 0.996 respectively for random forest algorithm. The tenfold cross-validation accuracy was 99.3%. The test accuracy, and F1-Score using DF2 reflected a value of 99.8%, and 0.998 respectively using LGBM classifier. To the best of our knowledge, this is the first attempt to classify acute liver failure ailment.
近年来,随着生活方式的改变,急性肝衰竭(Acute Liver Failure, ALF)的发病率越来越高。为了正确诊断和预防这种疾病,本研究在包含8785个数据点的公开数据集上使用10个标准机器学习(ML)对ALF进行分类。将数据集分为DF1(包含90%的数据)和DF2(包含10%的数据)两组。DF1用于训练和验证,train:validate的数据共享为80:20。采用DF2进行检测。对模型进行进一步调优,结果表明随机森林算法的训练准确率达到99.6%,F1-Score达到0.996。交叉验证准确率为99.3%。LGBM分类器的检验准确率为99.8%,DF2分类器的F1-Score为0.998。据我们所知,这是第一次尝试对急性肝衰竭疾病进行分类。
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引用次数: 0
SIRT: Machine-Learning-based Selective Intensity Range Thresholding for Aircraft Visual Docking Guidance Refinement and Interpretation 基于机器学习的飞机视觉对接制导的选择性强度范围阈值细化和解释
Debabrata Pal, Anvita Singh, Abhishek Alladi
We propose an automated Visual Docking Guidance System (VDGS) message interpretation service towards a smart and safe aviation endeavor. Owing to the priority of aviation safety criticality and the simultaneous need for smart airport, ground marshallers are getting replaced by VDGS to automatically detect obstacles, probable wingtip collisions and provide suitable assisted parking guidance to pilots. Nevertheless, the discrete presence of light-emitting diodes (LED) in VDGS dot-matrix display coupled with adversarial climatic conditions and far, low-light visibility creates the barrier in automated message detection and interpretation services. In this paper, we propose a novel Selective Intensity Range Thresholding (SIRT) for learning degraded LED pixel intensities and generate a refined synthetic display image. Furthermore, we propose an end-to-end pipeline for automatic recognition of VDGS alphanumeric texts and interpretation of symbologies to infer docking messages. The proposed solution aims to provide automated notification to the pilots about interpreted situational awareness messages from VDGS and record VDGS LED malfunction for rectification.
我们提出了一种自动视觉对接制导系统(VDGS)信息解释服务,以实现智能和安全的航空努力。由于航空安全的重要性和智能机场的同步需求,地面编组员正在被VDGS取代,以自动检测障碍物,可能的翼尖碰撞,并为飞行员提供适当的辅助停车指导。然而,VDGS点阵显示器中发光二极管(LED)的离散存在,加上不利的气候条件和遥远的低光能见度,在自动信息检测和解释服务中造成了障碍。在本文中,我们提出了一种新的选择性强度范围阈值(SIRT)来学习退化的LED像素强度并生成精细的合成显示图像。此外,我们提出了一个端到端管道,用于自动识别VDGS字母数字文本和解释符号以推断对接消息。提出的解决方案旨在向飞行员提供有关VDGS解释的态势感知信息的自动通知,并记录VDGS LED故障以进行纠正。
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引用次数: 1
Latency-Aware Tactile Cyber-Physical Systems for Mission-Critical Applications 用于关键任务应用的延迟感知触觉信息物理系统
M. S, Raja Vara Prasad Y, Paventhan A
The Internet has revolutionized global connectivity and enabled sharing information through communication networks. The Internet has evolved over different stages of fixed, Mobile Internet, Internet of Things (IoT), and now Tactile Internet. The objective of Tactile Internet is to address the challenges of achieving real-time interaction between physical and virtual worlds. Applications of Tactile Internet in different fields increased to multi-fold involving precise human-to-machine and machine-to-machine interactions that require Ultra-Reliable Low Latency Communications (URLLC) present in 5G networks. Tactile Cyber-Physical System (TCPS) based communications are being used in time-critical applications with high reliability of data. In this paper, the standards and design considerations helpful for achieving Tactile Internet are discussed. A detailed plan for a Tactile Internet backbone testbed implementation between Bangalore and Chennai cities of India is also discussed in detail in this paper. This paper also proposes an IEEE 802.1 TSN testbed to study latency, jitter parameters, and design considerations, in the context of Tactile Internet for mission-critical applications.
互联网彻底改变了全球互联互通,使人们能够通过通信网络共享信息。互联网经历了固定互联网、移动互联网、物联网(IoT)和现在的触觉互联网的不同阶段。触觉互联网的目标是解决实现物理世界和虚拟世界之间实时交互的挑战。触觉互联网在不同领域的应用增加到多个领域,涉及精确的人机和机器对机器交互,这些交互需要5G网络中的超可靠低延迟通信(URLLC)。基于触觉信息物理系统(TCPS)的通信正被用于具有高数据可靠性的时间关键应用中。本文讨论了有助于实现触觉互联网的标准和设计注意事项。本文还详细讨论了印度班加罗尔和钦奈市之间触觉互联网骨干网测试平台实施的详细计划。本文还提出了一个IEEE 802.1 TSN测试平台,以研究触觉互联网在关键任务应用环境下的延迟、抖动参数和设计考虑。
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引用次数: 0
Segregation Of Blood Cells Using Low Powered Di-Electrophoretic Field Force 利用低功率双电泳电场力分离血细胞
Rohit Dattatreya Hegde, R. S, A. R, P. Sharan, Anup M. Upadhyaya, Ciro Rodrigues
Blood separation involves isolation of particles and cells present in the blood that are called blood products - viz red blood cells, white blood cells, plasma, and cryoprecipitates. Separation of whole blood into its blood products helps the patients to get only the necessary required part from whole blood. The design in this paper gives the idea of the separation of platelets from whole blood using the di-electrophoresis principle. The device is designed in such a way that it separates platelets with a reduced power consumption with 2.5 volts. It records an efficiency of 99.10% with minimum time duration or segregation of 0.7s making it an efficient design for blood segregation units. The simulation of this design showed successful separation of platelets with a high degree of accuracy.
血液分离包括分离血液中被称为血液制品的颗粒和细胞,即红细胞、白细胞、血浆和低温沉淀物。将全血分离成其血液制品有助于患者只从全血中获得必需的部分。本设计给出了利用双电泳原理从全血中分离血小板的思路。该设备的设计使其分离血小板的功耗降低到2.5伏。它记录了99.10%的效率,最小时间持续时间或分离0.7s,使其成为血液分离装置的有效设计。这种设计的模拟表明,血小板的成功分离具有很高的精度。
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引用次数: 2
Fully Automated Traffic Light Controller system for a four-way intersection using Verilog 使用Verilog的全自动交通灯控制器系统用于四路交叉路口
Pranaav Jothi M, Srivatsan M, K. P, Prakash P, Kasthuri P
Traffic lights are placed in roads to control the flow of traffic and to prevent accidents. This paper proposes a Moore machine based fully automated and efficient traffic light controller system for four-way intersection. The system is designed on Xilinx Artix-7 xc7a100tcsg324-1 FPGA using Xilinx Vivado and Verilog Hardware Description Language. The designed system runs up to a maximum operating frequency of 10 MHz.
在道路上设置交通灯是为了控制交通流量,防止事故发生。提出了一种基于摩尔机的四路交叉口全自动高效交通灯控制系统。该系统基于Xilinx Artix-7 xc7a100tcsg324-1 FPGA,采用Xilinx Vivado和Verilog硬件描述语言进行设计。设计的系统最大工作频率为10mhz。
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引用次数: 1
Object Classification using Micro-Doppler Signature and Clutter Suppression in MIMO Radar 基于微多普勒特征和杂波抑制的MIMO雷达目标分类
Titas Ghoshal, K. Hari
Radar(Radio-Detection and Ranging) has become very popular for several applications-in meteorology, defence, aircraft system and navigation system. The main purpose of the radar is to detect any object-moving or stationary. However, to get the micro-motion(internal motions of an object), we need to get micro-Doppler feature. In this report, the micro-Doppler feature of birds have been discussed using MIMO radar system as combination of several bistatic radar system. Also classification of multiple birds has been discussed in presence of noise and without noise. Also, adaptive signal processing technique (LMS,RLS,NLMS) has been discussed for clutter suppression . Finally application of LMS-Newton method has been discussed for clutter suppression.It can be seen that it has faster convergence compared to other algorithms.
雷达(无线电探测和测距)在气象、国防、飞机系统和导航系统等方面的应用已经非常普遍。雷达的主要目的是探测任何移动或静止的物体。然而,为了获得微运动(物体的内部运动),我们需要获得微多普勒特征。本文讨论了多址多普勒雷达系统对鸟类微多普勒特征的影响。此外,还讨论了有噪声和无噪声情况下多种鸟类的分类。此外,还讨论了自适应信号处理技术(LMS、RLS、NLMS)对杂波的抑制。最后讨论了lms -牛顿法在杂波抑制中的应用。可以看出,与其他算法相比,它具有更快的收敛速度。
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引用次数: 1
Delay Estimation of Healthcare Applications Based on MQTT Protocol: A Node-RED Implementation 基于MQTT协议的医疗保健应用延迟估计:一种Node-RED实现
A. S, S. D. Kumar
In many developing countries, health monitoring system is among the innovative concepts introduced in recent years. The purpose is to help individuals get proper treatment and diagnosis in a timely manner using advanced medical technologies. IoT has been widely used to connect useful clinical assets and provide patients with smart, dependable, and high-quality healthcare services. In this paper, a new platform independent approach for measuring the delay in exchanging data between publishers and subscribers is proposed. The application was developed using the node-RED flow-based programming tool due to its availability on a variety of platforms; low overhead and capability to manage three levels of QoS to ensure reliability of message transmission makes MQTT to be extensively used. For completeness, three public brokers were tested in order to accurately reflect real-world usage of messaging protocol. Wireshark packet analyzer is used to capture packets while transmitting messages through three levels of QoS with various public brokers in order to analyse end-to-end delays. Results obtained show the maximum end-to-end delay ranged from below 0.7 seconds for fully acknowledged QoS 2 to a few hundreds of milliseconds for unconfirmed QoS 0. QoS 1 appears to be the optimum compromise between low end-to-end delay and minimized variability.
在许多发展中国家,健康监测系统是近年来引入的创新概念之一。目的是利用先进的医疗技术,帮助个人及时得到适当的治疗和诊断。物联网已被广泛应用于连接有用的临床资产,为患者提供智能、可靠、高质量的医疗服务。本文提出了一种新的平台无关的方法来测量发布者和订阅者之间交换数据的延迟。该应用程序是使用基于node-RED流的编程工具开发的,因为它可以在各种平台上使用;低开销和管理三层QoS以确保消息传输可靠性的能力使MQTT得到广泛使用。为了完整起见,测试了三个公共代理,以便准确地反映消息传递协议的实际使用情况。Wireshark包分析器用于捕获数据包,同时通过三个级别的QoS与各种公共代理传输消息,以分析端到端延迟。得到的结果表明,端到端最大延迟范围从完全确认的QoS 2的0.7秒以下到未确认的QoS 0的几百毫秒不等。QoS 1似乎是低端到端延迟和最小化可变性之间的最佳折衷。
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引用次数: 3
Comparative analysis of PI and Fuzzy based speed controllers for Indirect Field-oriented Control of Induction Motor Drives PI与模糊速度控制器在感应电机间接定向磁场控制中的比较分析
Achala Ayodhya, Sachin Angadi, A. B. Raju
This paper presents a technique of intelligent indirect field-oriented control (IFOC) of the induction motor(IM) drives for the superior transient performance. Traditionally, IFOC of IM drives is reported using linear PI-Controllers. These Conventional PI-IFOC methods suffer limitations due to saturation phenomenon and non-linearities in the IM’s. To overcome these drawbacks, a Fuzzy logic based IFOC for IM drive is proposed in this paper. A closed-loop speed control technique making use of Conventional PI/Fuzzy based controllers is used for the investigation in this project. The IM has been convoluted in IFOC by splitting the current produced by the stator into flux (id) and torque (iq) producing components (d-q components). The torque producing component of the current (iqs∗) for an IM is regulated using a Fuzzy based intelligent controller. The speed and torque responses of Conventional PI and Fuzzy Logic based Controller are observed and are compared for performance assessment. Simulations are carried out employing MATLAB/Simulink and essential results are presented in order to demonstrate the superior dynamic performance of proposed Fuzzy-IFOC compared to conventional PI-IFOC controller.
本文提出了一种基于智能间接磁场定向控制的异步电动机暂态控制技术。传统上,IM驱动器的IFOC是使用线性pi控制器报告的。这些传统的PI-IFOC方法由于IM中的饱和现象和非线性而受到限制。为了克服这些缺点,本文提出了一种基于模糊逻辑的IM驱动IFOC。本课题采用了一种利用传统PI/模糊控制器的闭环速度控制技术。通过将定子产生的电流分成产生磁通(id)和产生转矩(iq)的分量(d-q分量),IM在IFOC中进行了卷积。IM的电流(iqs *)的转矩产生分量使用基于模糊的智能控制器进行调节。观察了传统PI控制器和基于模糊逻辑控制器的速度和转矩响应,并进行了性能评价比较。利用MATLAB/Simulink进行了仿真,并给出了基本结果,以证明所提出的Fuzzy-IFOC控制器比传统的PI-IFOC控制器具有更好的动态性能。
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引用次数: 0
T5W: A Paraphrasing Approach to Oversampling for Imbalanced Text Classification T5W:用于不平衡文本分类的过采样释义方法
A. Patil, Shreekant Jere, Reshma Ram, Shruthi Srinarasi
Imbalanced datasets are datasets with one or more underrepresented classes when compared to other classes. Such datasets pose problems during classification due to the lack of sufficient data to train minority classes. To handle this imbalance in text data, this paper proposes an oversampling technique that uses a combination of the T5 Transformer and the WordNet corpus to balance the dataset by paraphrasing text in minority classes. The WordNet corpus is used to extract synonyms of "relevant" words. Substituting these synonyms in the sentences augments the database by increasing data in minority classes. Combining these augmented sentences with the paraphrased sentences extracted using the T5 Transformer results in a larger and balanced dataset. Standard classifiers such as the Logistic Regression algorithm are used to compare the performance metrics before and after resampling the dataset. The results show that oversampling using the proposed approach significantly improves the performance of text classification algorithms. To automate the task of oversampling using a paraphrasing tool, the integration of the model with a Robotic Process Automation tool is detailed.
不平衡数据集是指与其他类相比,具有一个或多个代表性不足的类的数据集。由于缺乏足够的数据来训练少数类,这些数据集在分类过程中会产生问题。为了处理文本数据中的这种不平衡,本文提出了一种过采样技术,该技术使用T5 Transformer和WordNet语料库的组合,通过在少数类中解释文本来平衡数据集。WordNet语料库用于提取“相关”词的同义词。在句子中替换这些同义词可以通过增加少数族裔类别的数据来扩充数据库。将这些增强的句子与使用T5 Transformer提取的意译句子结合起来,可以得到一个更大、更平衡的数据集。使用诸如逻辑回归算法之类的标准分类器来比较重新采样数据集之前和之后的性能指标。结果表明,使用该方法进行过采样可以显著提高文本分类算法的性能。为了使用释义工具自动化过采样任务,详细介绍了模型与机器人过程自动化工具的集成。
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引用次数: 1
Mobile based Inventory Management System with QR code 基于手机的QR码库存管理系统
Shayantani Kar, Shresth Bhimrajka, Aditya Kumar, Subhamita Mukherjee
This work proposes an inventory management system that manages the stock details of a system with various agents and factors to make up an inventory. The ever-evolving era of automation is always thriving to replace the conventional way of manual efforts. Nowadays it is extremely important to have an easy access to data in a visually representable form via an app for a user-friendly system. Managing the data manually tends to be enormous and existing systems fail to maintain every inventory in the shipment process accurately. This article focuses on developing an Inventory management system of multiple organizations in a secure manner by having two authentication mechanisms when a user logs in. It mainly stores data with the help of Quick Response (QR) code and keeps an eye on the various activities. The goal is to maintain an error-free record with a track of all the activities of every employee in an organization.
本文提出了一个库存管理系统,该系统通过各种代理和因素来管理一个系统的库存细节,从而组成一个库存。不断发展的自动化时代总是蓬勃发展,以取代传统的手工工作方式。如今,通过应用程序以可视化的形式轻松访问数据对于用户友好的系统非常重要。手动管理数据往往是巨大的,现有系统无法准确地维护运输过程中的每个库存。本文的重点是通过在用户登录时使用两种身份验证机制,以安全的方式开发多个组织的库存管理系统。它主要通过快速响应(QR)码存储数据,并密切关注各种活动。目标是维护一个无错误的记录,跟踪组织中每个员工的所有活动。
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引用次数: 2
期刊
2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
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