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2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)最新文献

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Securing the Health Care Data Using Hybrid Rabin and Routing Algorithm 使用混合Rabin和路由算法保护医疗保健数据
K. Kaliyaperumal, N. Raja, L. Velmurugan, Bacha Uma Woyessa
Chronic illnesses are becoming more common as a result of the current environmental conditions; most people prefer IoT to take care of their own health. The (IoT) plays a significant role in each and every industry that simplifies life. IoT also plays an important part in the medical field by routinely monitoring the health condition of patients in remote areas. While IoT methods for solving for a smarter living, it also has some problems while transmitting data, which is similar to the type of threat that occurs during transmitting data in WSN. When compared to other types of networks, the data transmitted in smart health monitoring is extremely sensitive. Various sorts of attacks occur during data transfer, such as sinkholes, worm holes, and grey holes, among others. To counteract these assaults, a hybrid Rabin algorithm and a modified routing method are proposed for data security. These algorithms provide 99.0% accuracy in data delivery while detecting attacks and increasing efficiency.
由于目前的环境条件,慢性病正变得越来越普遍;大多数人更喜欢物联网来照顾自己的健康。物联网在每个简化生活的行业中都发挥着重要作用。物联网在医疗领域也发挥着重要作用,可以定期监测偏远地区患者的健康状况。虽然物联网方法解决了更智能的生活,但它在传输数据时也存在一些问题,这类似于WSN中传输数据时发生的威胁类型。与其他类型的网络相比,智能健康监测中传输的数据极为敏感。在数据传输过程中会发生各种各样的攻击,如天坑、虫洞、灰洞等。为了对抗这些攻击,提出了一种混合Rabin算法和一种改进的路由方法来保证数据的安全性。这些算法在检测攻击和提高效率的同时提供99.0%的数据传输准确性。
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引用次数: 0
Design Analysis of 1DPhC 532nm Optical Filter 1DPhC 532nm滤光片设计分析
Manisha Chakrabarti Chattopadhyay, Tapanendu Kundu
Photonic Crystal (PC) comprising of dielectric materials placed periodically in one dimension are discussed in this paper. By introducing defects, light is forbidden to propagate inside the periodic structure, which will act as a mirror throughout. This property can be used to construct various application as we can attenuate any particular frequency band. The defect is created by changing the material of the layer of the crystal, thereby disturbing its periodicity to design a optical filter that operates in visible spectrum. A comparative analysis is made by choosing different defect material combinations to obtain the filtering window in the visible spectrum
本文讨论了由介电材料周期性放置于一维空间的光子晶体。通过引入缺陷,光被禁止在周期结构内部传播,而周期结构将在整个过程中充当镜子。这一特性可用于构建各种应用,因为我们可以衰减任何特定的频段。该缺陷是通过改变晶体层的材料,从而干扰其周期性来设计在可见光谱中工作的光学滤光器而产生的。通过选择不同的缺陷材料组合来获得可见光谱中的滤波窗口,并进行了对比分析
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引用次数: 0
Fetal Head Circumference Measurement from Ultrasound Images Using Attention U-Net 利用注意U-Net从超声图像测量胎儿头围
S. Parvathavarthini, K. S. Sharvanthika, S. Sindhu, K. Kaviya
Ultrasound imaging is a non-invasive approach for diagnosing internal organs that is both safe and effective. Fetal biometric measurement is a routine examination performed during pregnancy to evaluate fetal growth and estimate gestational age and weight using ultrasound images. The prenatal diagnosis of fetus helps to identify whether the growth of fetus is normal or abnormal. There are many biometric measurements like femur length, head circumference (HC), biparietal diameter(BPD), abdominal circumference etc. In this work, Head circumference (HC) measurement is performed. Head circumference (HC) is measured as a critical biometric to assess fetus growth throughout the pregnancy. Ultrasound scans are used to perform this measurement. The dataset used here is HC18 grand challenge. U-Net and Attention U-Net are used for segmenting the fetal head portion. The trained model undergoes Morphological processing and edge detection, then the head portion are fitted to the ellipse and the circumference is measured. The metrics used are Mean square error, E-Score, Accuracy and IoU score to evaluate the result.
超声成像是一种安全有效的非侵入性脏器诊断方法。胎儿生物测量是在怀孕期间进行的常规检查,以评估胎儿生长和估计胎龄和体重的超声图像。胎儿的产前诊断有助于确定胎儿的生长发育是否正常或异常。有许多生物特征测量,如股骨长度,头围(HC),双顶骨直径(BPD),腹围等。在这项工作中,进行了头围(HC)测量。头围(HC)测量作为一个关键的生物特征,以评估整个妊娠期胎儿的生长。超声波扫描是用来进行这种测量的。这里使用的数据集是HC18 grand challenge。U-Net和Attention U-Net用于分割胎儿头部部分。对训练好的模型进行形态学处理和边缘检测,将头部部分拟合到椭圆上,并测量其周长。使用的指标是均方误差、E-Score、准确性和IoU分数来评估结果。
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引用次数: 0
A Modified P&O Technique for Solar based EV Charging with SEPIC 基于SEPIC的太阳能电动汽车充电改进P&O技术
B. V. Reddy, C. Chengaiah
Solar Power Generation is being done extensively across the globe. The solar irradiation is variable with time and the irradiation change can be easily observed form sunrise to sunset. So there is a need to operate the PV panel at the maximum power operating point and this can be easily done using P&O technique. P&O algorithm may take an incorrect decision when the insolation increases or decreases and a shift occur in the tracking. The duty cycle has to be corrected when change in insolation occurs so that we can reduce the shift. To achieve this, an improved P&O technique using changes in current is proposed in this paper. A Single Ended Primary Inductance Converter (SEPIC) is used in the paper to implement this technique. The SEPIC Parameter calculations are also presented in this paper. The simulation results on traditional and improved P&O techniques showed that the proposed technique has better tracking and shift reduction. The simulation is performed in MATLAB/Simulink environment. The model proposed in this paper can be used for charging the batteries.
太阳能发电在全球范围内得到广泛应用。太阳辐照度随时间而变化,从日出到日落可以很容易地观察到辐照度的变化。因此,需要在最大功率工作点操作光伏电池板,这可以使用P&O技术轻松完成。当日照增加或减少,跟踪过程中出现偏移时,P&O算法可能会做出错误的决策。当日照发生变化时,必须对占空比进行校正,以便我们可以减少偏移。为了实现这一目标,本文提出了一种利用电流变化的改进P&O技术。本文采用单端初级电感变换器(SEPIC)来实现这一技术。本文还给出了SEPIC参数的计算。对传统和改进P&O技术的仿真结果表明,该技术具有更好的跟踪性能和移位抑制性能。在MATLAB/Simulink环境下进行仿真。本文提出的模型可用于蓄电池的充电。
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引用次数: 0
Deep Learning-based Segmentation and Computer Vision-based Ultrasound Imagery Techniques 基于深度学习的分割和基于计算机视觉的超声成像技术
S. Girinath, T. Kavitha, Pamulapati Satish Chandra, Nellore Manoj Kumar, N. K. Gattim, R. Challa
Biomedical imaging has been a game-changer in the medical field because of how it facilitates the analysis of human body issues. The best possible diagnosis may now be made thanks to the development of computer science and its integration with medical imaging. The state-of-the-art in biological image processing has been demonstrated by methods based on deep learning. Thanks to these approaches' inherent capacity for self-learning, manually constructed features are no longer necessary. It has given a world-class solution with trustworthy outcomes for medical image processing in this way. This effort is being done to help with better diagnosis by addressing the key challenges mentioned above. These approaches' inherent capacity for self-learning has rendered custom enhancements superfluous. This has supplied an excellent solution with trustworthy outcomes in the field of medical image processing. In order to better diagnose health problems, the current effort is conducted to solve the aforementioned key challenges. Therefore, the study aims to create novel segmentation and classification methods for identifying the different types of breast masses from US pictures. The elastic characteristics of tissues can now be imaged thanks to a novel method called elastography. In our studies, we use ultrasound elastography as well as ultrasound B-mode to categorise breast tumours.
生物医学成像已经改变了医疗领域的游戏规则,因为它可以促进对人体问题的分析。由于计算机科学的发展及其与医学成像的结合,现在可能做出最好的诊断。生物图像处理的最新技术已经通过基于深度学习的方法得到了证明。由于这些方法具有固有的自我学习能力,因此不再需要手动构建特征。它以这种方式为医学图像处理提供了世界一流的解决方案和值得信赖的结果。正在进行这项努力,以通过解决上述主要挑战来帮助更好地诊断。这些方法固有的自我学习能力使得自定义增强变得多余。这为医学图像处理领域提供了一个具有可靠结果的优秀解决方案。为了更好地诊断健康问题,目前正在努力解决上述主要挑战。因此,本研究旨在创建新的分割和分类方法,以识别不同类型的乳腺肿块从美国图片。由于一种称为弹性成像的新方法,现在可以对组织的弹性特性进行成像。在我们的研究中,我们使用超声弹性成像和超声b型来对乳腺肿瘤进行分类。
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引用次数: 0
Advanced Communication in Cyber Physical System Infrastructure, Protocols, and Challenges 网络物理系统基础设施、协议和挑战中的高级通信
A. Haldorai, Ravishankar. C. V, Q. Mahdi, G. J. Nehru
In contemporary developments like Cyber Physical System (CPS) and the Internet of Things (IoT), computerized integrated connection is seen as a trend. Some of the unique research issues in CPS include security, confidentiality, business intelligence, participatory monitoring, and smart decision making. A secure infrastructure, reliable protocols, and high-quality solutions are just a few of the other Wireless Sensor Networks (WSN) obstacles that must be overcome. This paper provides a critical survey of advanced communications and sensing in CPS infrastructures, protocols as well as challenges. A CPS framework, including its protocols and implementations, are described in this work. Mobile Sensor Information Agent (MSIA) signifies a software-centric mobile sensor system. It operates as a plug-in with the CPS framework and scalability mobile apps. With the MSIA, data from numerous external sensors may be collected and sent to the cloud as needed. Integration with the real environment is essential to CPS's stability and security as well as its dependability and resilience. Emerging Software-Defined Networking (SDN) technologies may be coupled with CPS architecture as a communications network to build this system. Thereby, it is feasible to enhance the performance of the system utilizing an SDN-based CPS architecture
在网络物理系统(CPS)和物联网(IoT)等当代发展中,计算机集成连接被视为一种趋势。CPS中一些独特的研究问题包括安全性、机密性、商业智能、参与式监控和智能决策。安全的基础设施、可靠的协议和高质量的解决方案只是无线传感器网络(WSN)必须克服的其他一些障碍。本文对CPS基础设施、协议以及挑战中的先进通信和传感进行了关键调查。本文描述了一个CPS框架,包括它的协议和实现。移动传感器信息代理(MSIA)是一种以软件为中心的移动传感器系统。它作为带有CPS框架和可扩展性移动应用程序的插件运行。使用MSIA,可以根据需要收集来自众多外部传感器的数据并将其发送到云端。与真实环境的集成对于CPS的稳定性和安全性以及可靠性和弹性至关重要。新兴的软件定义网络(SDN)技术可以与CPS架构结合作为通信网络来构建该系统。因此,利用基于sdn的CPS架构来提高系统的性能是可行的
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引用次数: 0
Blood Sugar Level detection and storage using Split Ring Resonator and Python 使用分裂环谐振器和Python进行血糖水平检测和存储
Sakshi Gupta, Yogesh Inamdar, Mihir Ranje, Rushikesh Palekar, N. Ammanagi
Diabetes, popularly known as diabetes mellitus, is a metabolic disorder that raises blood glucose levels. Therefore, checking glucose has become essential for keeping track of one's health. Microwave resonators may be utilized to detect blood glucose by non-destructively sensing changes in its properties, in addition to conventional techniques for glucose monitoring. A correlation between a change in the resonating frequency of Resonators and the corresponding change in the dielectric property is essential for the purpose of measuring blood sugar. To determine the amount of glucose, the split-ring resonator is electromagnetically activated in this test. A circular split ring resonator has been created and is operating at a frequency of 2.45 GHz. Multiple glucose concentrations have been tested on the resonator using the Keysight E 5080 A Vector Network Analyzer, and measurements have been obtained based on changes in the resonator's dielectric property. The proposed resonator is tested using the HFSS software. To store the information, a web application is created, which can then be used to evaluate the patients in the future and serve as a reliable resource for the doctors.
糖尿病,俗称糖尿病,是一种代谢紊乱,会使血糖水平升高。因此,检查血糖对于跟踪一个人的健康状况是必不可少的。除了常规的血糖监测技术外,微波谐振器还可以通过非破坏性地感知其特性的变化来检测血糖。谐振器谐振频率的变化与介电特性的相应变化之间的相关性对于测量血糖是必不可少的。为了确定葡萄糖的量,在这个测试中,劈裂环谐振器被电磁激活。已经创建了一个圆形分环谐振器,其工作频率为2.45 GHz。使用Keysight E 5080a矢量网络分析仪在谐振器上测试了多个葡萄糖浓度,并根据谐振器介电特性的变化获得了测量结果。利用HFSS软件对所提出的谐振器进行了测试。为了存储这些信息,创建了一个web应用程序,它可以用于将来评估患者,并作为医生的可靠资源。
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引用次数: 0
Green Hydrogen Generation from the PEM Electrolyzer Powered by Solar Panel 太阳能电池板供电PEM电解槽的绿色制氢
R. Kumar, P. Samuel
Over the last decade, industries and the international scientific community have been interested in producing hydrogen by water electrolysis. Renewable energy sources (wind, solar, and hydraulic) are promising solutions to minimize the environmental impact in the pathways for producing hydrogen. This paper proposes a mathematical model of a PEM electrolyzer powered by the solar panel to know the system behaviour. A MATLAB/simulation platform is used to simulate the model. It can be seen that the amount of electrolytic hydrogen generated varies linearly with the input current. At the same time, the efficiency of the system varies nonlinearly with input electrical power. The hydrogen production rate under varying temperature and pressure conditions has also been observed. An example has been taken and hydrogen production rate from theoretical calculation is found which agree with simulation results.
在过去的十年里,工业界和国际科学界一直对水电解制氢感兴趣。可再生能源(风能、太阳能和水力)是很有前途的解决方案,可以在生产氢气的过程中最大限度地减少对环境的影响。本文提出了一个由太阳能电池板供电的PEM电解槽的数学模型,以了解系统的行为。利用MATLAB/仿真平台对模型进行仿真。可以看出,电解氢气的产生量随输入电流的变化呈线性变化。同时,系统的效率随输入功率呈非线性变化。还观察了不同温度和压力条件下的产氢速率。算例表明,理论计算的产氢速率与仿真结果吻合较好。
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引用次数: 0
A Security model with efficient AES and Security Performance Trade-off Analysis of Cryptography Systems with Cloud Computing 基于云计算的高效AES安全模型与安全性能权衡分析
Gaganpreet Kaur, B. N, Murugesan S, Pradeepa K, S. G., Vinoth Kumar M
Cloud computing is awesome progress the information technology. It allows users to store a large amount of data on a remote storage location and access files, software, and services through their internet connection on the personal computer based on the pay-per-use model. End-users mostly use the cloud for storing information on the cloud, sharing files, and data backup. In fact, according to the flex era 2021 state of cloud report, roughly 90 % of enterprises anticipate cloud users have been expanded because of COVID-19. Data security and privacy are basic concerns because of the nature of storing unencrypted cloud computing. Though many encryption standards are being used to make crucial information safe, single encryption is not able to cope with fast computing systems. To circumvent the threats, this paper uses a triple encryption approach before porting on a cloud with a hash value to deliver the data integrity, confidentiality, and non-repudiation. This solution is designed to offer complete data security to the data throughout the data life cycle, such as to data in transit, and data in storage. Subsequently, Improved AES achieves better optimization over AES. Moreover, the security and performance analysis of the proposed approach with the existing approaches assist to find the best security performance trade-off.
云计算是信息技术的一大进步。它允许用户在远程存储位置存储大量数据,并根据按次付费模式,通过个人电脑上的互联网连接访问文件、软件和服务。最终用户主要将云用于在云上存储信息、共享文件和数据备份。事实上,根据flex时代2021年云状态报告,大约90%的企业预计云用户将因COVID-19而扩大。由于存储未加密的云计算的性质,数据安全和隐私是最基本的问题。尽管许多加密标准被用于保证关键信息的安全,但单一的加密无法应对快速计算系统。为了规避这些威胁,本文在移植带有散列值的云之前使用三重加密方法来提供数据完整性、机密性和不可否认性。该解决方案旨在为整个数据生命周期(例如传输中的数据和存储中的数据)提供完整的数据安全性。随后,改进AES实现了比AES更好的优化。此外,将所提出的方法与现有方法进行安全性和性能分析,有助于找到最佳的安全性性能权衡。
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引用次数: 0
Determination of Blood Groups Based on GUI of Matlab 基于Matlab图形用户界面的血型测定
M. F. Mahmood, Huda Farooq Jameel, S. M. Yaseen, S. Mohammed
A blood transfusion is necessary action in managing of blood transfusion processes from one person to another. Currently, these tests are performed by specialists or laboratory technician. Because of manual test procedure and many different tests are expected to be carried out daily, There is a definite possibility of personal error in completing the blood groups test. In this work, graphical user interface (GUI) in matlab program is used to classify a blood group and to determine Rh factor. The proposal methods includes the same primary steps of laboratory methods of taking blood samples using lancet and treat them by adding the ordinary kits for blood groups on slides, then taking slide picture using mobile HD camera and GUI of Matlab in determination blood groups and RH factor. The results show that the proposed system achieved blood groups detection and Rh factor test via special algorithms. Furthermore, 99.2% accuracy by using125 - volunteer is achieved in blood groups detection with relative the traditional method. The treatment of sample picture by the suggested matlab is needed for 1.5-1.55 seconds to get the result, therefore this method can be suggested to accomplish routine blood groups and Rh factor tests with high throughput. Our findings demonstrate that in terms of accuracy and execution time, this work is performing perfect with neglectable personal error.
输血是管理从一个人到另一个人的输血过程的必要行动。目前,这些测试由专家或实验室技术人员进行。由于人工测试程序和许多不同的测试预计每天进行,有一个明确的可能性的个人错误,在完成血型测试。在本工作中,使用matlab程序中的图形用户界面(GUI)对血型进行分类并确定Rh因子。建议的方法包括与实验室方法相同的主要步骤,即使用柳叶刀采集血液样本,并在载玻片上添加普通血型试剂盒进行处理,然后使用移动高清相机和Matlab GUI拍摄载玻片图像,进行血型和RH因子的测定。结果表明,该系统通过特殊算法实现了血型检测和Rh因子检测。与传统方法相比,使用125名志愿者进行血型检测的准确率达到99.2%。建议的matlab处理样本图片需要1.5-1.55秒才能得到结果,因此可以建议采用该方法高通量地完成常规血型和Rh因子检测。我们的研究结果表明,在准确性和执行时间方面,这项工作是完美的,可以忽略个人错误。
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引用次数: 0
期刊
2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)
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