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Decentralized Framework of Enabling Technology in Primary Healthcare 初级保健授权技术的分散框架
Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10150566
D. Rawat, Deepti Sharma, Shweta Pandey, Rajesh Singh, Angel Swastik Duggal, Sudhanshu Sudhanshu
As increase in the technological advancements in primary healthcare services in terms of both hardware and software, increases the demand for more technological indulgence in primary healthcare services. This paper summarizes Artificial intelligence (AI) systems for the healthcare industry have been created as a result of this ambition. At practically every level, the application of AI has modernized healthcare systems. The study reveals the success of the technological intervention and thus, also highlights current developments in the creation of blockchain & AI applications for the health sector. This study results that technology like blockchain protects primary healthcare patients’ data and privacy in the healthcare system. At last, the study focuses on the prospects ofhow these technologies are altering the healthcare systems & pinpoints a future path for raising the Quality of Service (QoS) while utilizing these cutting-edge tools.
随着初级保健服务在硬件和软件方面的技术进步的增加,增加了对初级保健服务更多技术放纵的需求。本文总结了医疗保健行业的人工智能(AI)系统是由于这一雄心壮志而创建的。在几乎每一个层面上,人工智能的应用都使医疗系统现代化。该研究揭示了技术干预的成功,因此也强调了为卫生部门创建区块链和人工智能应用程序的当前发展。这项研究表明,区块链等技术可以保护初级医疗保健患者的数据和医疗保健系统中的隐私。最后,研究重点关注了这些技术如何改变医疗保健系统的前景,并指出了在利用这些尖端工具的同时提高服务质量(QoS)的未来路径。
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引用次数: 0
Bifurcation of Sodium and Potassium Conductance for Detection of Some Neurological Disorder 钠钾电导分岔检测某些神经系统疾病
Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10150779
Anju Gera, T. Ahmed, Seema Nayak
In neurological research, the HH model and many modified forms have been successfully used to study the neurological dynamics of many neurological and other excitable cell disorders. It has been shown by medical researchers that many neuronal diseases are related to bifurcation of ion channels. For example, sodium channel dynamics are involved in epilepsy, potassium and calcium channels have also been found to be associated with Alzheimer’s disease. It is also known that the threshold for normal spiking requires contribution from both non-linear (voltage-gated Na+ and K+ channels) and linear currents (leak channel). Therefore, study of bifurcation of calcium ion is very important.
在神经学研究中,HH模型和许多改进的形式已经成功地用于研究许多神经和其他兴奋性细胞疾病的神经动力学。医学研究表明,许多神经元疾病都与离子通道分叉有关。例如,钠离子通道动力学与癫痫有关,钾离子和钙离子通道也被发现与阿尔茨海默病有关。我们还知道,正常尖峰的阈值需要非线性(电压门控Na+和K+通道)和线性电流(泄漏通道)的贡献。因此,研究钙离子的分岔是非常重要的。
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引用次数: 0
An Innovation of Algebric Mathamatical Based Statistical Analysis Model for Complex Number Theory 复数理论中基于代数数学的统计分析模型创新
Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10151169
B. Pattanaik, Sukhavasi Kumari, Kiran Kumar C, Manjula Pattnaik, Syed Ibad Ali, M. Kumarasamy
In general, statistical analysis is an advanced method of evaluating analytical components based on mathematical data. The important parts in statistical analysis are the collecting statistics, organizing and analyzing data. Every part of this process is tested. Statistical techniques are also used in other areas of knowledge. Although it is seen as a field based on statistical predictive functions, its structure and calculation methods are based on probability. It also adds advanced mechanisms to regulate its randomness as its improved methods predict the probability of occurrence. In this paper an algebric mathematical based statistical analysis model was proposed. It is important to sample statistics because a typical sample of people should be selected. Mathematical statistics involves a basic calculation of events. These estimates are used to determine the mean, variance, and skewness of a probability distribution. Statistical data processing is impossible without their sorting, generalization and analysis. Any results should be put in such a format that one can get the most useful information first. If the data is large, then they should be grouped or spread.
总的来说,统计分析是一种基于数学数据评估分析成分的先进方法。统计分析的重要环节是数据的收集、整理和分析。这个过程的每一部分都经过测试。统计技术也用于其他知识领域。虽然它被看作是一个基于统计预测函数的领域,但它的结构和计算方法是基于概率的。它还增加了先进的机制来调节其随机性,因为它改进了预测发生概率的方法。本文提出了一种基于代数数学的统计分析模型。抽样统计很重要,因为应该选择典型的人群样本。数理统计包括对事件的基本计算。这些估计用于确定概率分布的均值、方差和偏度。统计数据的处理离不开它们的分类、归纳和分析。任何结果都应该以一种能够首先获得最有用信息的格式来放置。如果数据很大,那么应该对它们进行分组或分散。
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引用次数: 0
A Comparative Analysis of Modern Frontend Frameworks for Building Large-Scale Web Applications 构建大规模Web应用程序的现代前端框架的比较分析
Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10150911
Pancham K. Singh, Mili Srivastava, Mrignainy Kansal, A. P. Singh, Abhay Chauhan, Adarsh Gaur
Some tools have endured in the constantly shifting world of technology, whereas many others have slipped into oblivion over time. One thing we can all agree on is that JavaScript-based libraries and frameworks are here to stay. This incredible technology is adored by countless clients and developers because of its adaptability, it can be installed on both the server and client sides of the web applications. However, due to its unique syntax and quirks, JavaScript may be a difficult language to master. We can admit that we've often caught ourselves staring at a JavaScript code, wondering what was transpiring behind the scenes. This paper will analyze the performance of such popular JavaScript-based frameworks and libraries, and explain why they remain among the most significant JavaScript frameworks of the previous decade. This paper will compare the web frameworks to find a possible winner based on web performance metrics.
有些工具在不断变化的技术世界中经久不衰,而其他许多工具则随着时间的推移而被遗忘。我们都同意的一件事是,基于javascript的库和框架将继续存在。这项令人难以置信的技术受到无数客户和开发人员的喜爱,因为它的适应性,它可以安装在web应用程序的服务器端和客户端。然而,由于其独特的语法和怪癖,JavaScript可能是一门难以掌握的语言。我们可以承认,我们经常发现自己盯着JavaScript代码,想知道幕后发生了什么。本文将分析这些流行的基于JavaScript的框架和库的性能,并解释为什么它们仍然是过去十年中最重要的JavaScript框架之一。本文将比较这些web框架,根据web性能指标找出可能的赢家。
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引用次数: 0
Performance Evaluation of Multi-user Massive MIMO Systems with Hybrid Precoding 混合预编码的多用户海量MIMO系统性能评估
Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10150971
Neeraj Sharma, B. Gupta
Unlike conventional multiple-input multiple-output (MIMO), massive MIMO communication is a scalable technology offering benefits corresponding to the deployed base station (BS) antennas. It implies equipping BS with huge number of antennas compared to user terminals. It offers sizable boost in spectral and energy efficiencies along with linear signal processing techniques. Among the various design problems related to massive MIMO, effective precoding is one of the most important signal processing tasks at the BS to enable successful downlink transmission. Digital precoding techniques are employed in conventional MIMO systems, where each antenna is preceded by a dedicated RF chain. These techniques are unsuitable for massive MIMO due to excessive number of power hungry and expensive RF chains. In this paper, we discuss advantages, fundamental properties and design challenges of massive MIMO technology. We also present an energy-efficient, low-cost and low-hardware complexity hybrid precoding technique for massive multi-user MIMO systems under Rayleigh fading and millimeter wave channels. Compared with fully digital zero-forcing precoding, the hybrid precoding technique exhibits very high energy and near-optimal spectral efficiency.
与传统的多输入多输出(MIMO)不同,大规模MIMO通信是一种可扩展的技术,提供与部署的基站(BS)天线相对应的优势。这意味着与用户终端相比,为BS配备了大量的天线。它提供了相当大的提高频谱和能源效率以及线性信号处理技术。在与大规模MIMO相关的各种设计问题中,有效的预编码是BS中最重要的信号处理任务之一,以实现成功的下行传输。传统的MIMO系统采用数字预编码技术,其中每个天线之前都有一个专用的射频链。由于大量的功耗和昂贵的射频链,这些技术不适合大规模的MIMO。本文讨论了大规模MIMO技术的优点、基本特性和设计挑战。在瑞利衰落和毫米波信道下,提出了一种节能、低成本、低硬件复杂度的混合预编码技术。与全数字强制零预编码相比,混合预编码技术具有非常高的能量和接近最佳的频谱效率。
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引用次数: 0
Social Media Influences in Sleeping Patterns of Human 社交媒体对人类睡眠模式的影响
Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10151147
Kaniphnath Malhari Kudale, G. Kannan, Durgaprasad Navulla, Sunil S
Many of the studies that have been conducted on this subject in the past used adolescents as their subjects. This suggests that data on such occurrences among young adults is scarce. Adolescents have a unique opportunity to take charge of their health and happiness at a moment in life when it is crucial for them to do so. High-quality sleep is essential for teenagers to maintain alertness and concentration during the day and in the classroom. Therefore, it is crucial that they establish regular sleeping habits and limit their usage of electronic media in the hours before bed. In spite of the popularity of social media and the prevalence of computers and mobile phones in private spaces, no research has examined the link between problematic adolescent investment in social networking, sleep practices, and related school experiences. This is so even if there have been no investigations into the possible link. An indirect influence of sleep disruptions drove this significant increase. These results suggest that the dangers connected with social networking sites have a greater impact on younger people than on older people. For example, not getting enough sleep might have a negative effect on how well you perform in school generally. Adolescents' emotional participation and subjective well-being would improve if they were encouraged to adopt healthy sleep habits by limiting the frequency of sleep interruptions brought on by their usage of social media.
过去关于这一主题的许多研究都以青少年为研究对象。这表明在年轻人中此类事件的数据很少。青少年在人生的关键时刻有一个独特的机会来掌控自己的健康和幸福。高质量的睡眠对青少年在白天和课堂上保持警觉性和注意力集中至关重要。因此,至关重要的是,他们建立有规律的睡眠习惯,并限制他们在睡前几个小时使用电子媒体。尽管社交媒体很流行,电脑和手机在私人空间也很普遍,但没有研究调查过青少年在社交网络上的问题投资、睡眠习惯和相关的学校经历之间的联系。即使没有对可能的联系进行调查,情况也是如此。睡眠中断的间接影响推动了这一显著增长。这些结果表明,与社交网站有关的危险对年轻人的影响大于对老年人的影响。例如,睡眠不足可能会对你在学校的表现产生负面影响。如果通过限制使用社交媒体导致的睡眠中断频率,鼓励青少年养成健康的睡眠习惯,他们的情感参与和主观幸福感将得到改善。
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引用次数: 0
Application of Serverless Computing in Blockchain Distributed Technology 无服务器计算在区块链分布式技术中的应用
Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10150901
Natarajan Chellasamy, Faiz Akram, N. Rajesh, R. Umamaheswari
Serverless is a peer-to-peer system that is associated with the cloud architecture that aims to reduce the efforts required by the cloud manager to provide an efficient service. Blockchain enable collaborative distributed mechanism to enable a decentralized management of resource allocation. The resource allocation is been a major concern when blockchain is enabled in the serverless computing. In this paper, we develop a serverless computing model that is embedded with blockchain manner in a distributed fashion. The formulation is made in such a way that if fulfils the task allocation in a better way with increased makespan and reduced latency while a resource is allocated for required operation.
无服务器是一种与云架构相关联的点对点系统,旨在减少云管理人员提供高效服务所需的工作量。区块链支持协作分布式机制,实现资源分配的分散管理。当区块链在无服务器计算中启用时,资源分配是一个主要问题。在本文中,我们开发了一种以分布式方式嵌入区块链的无服务器计算模型。在为所需的操作分配资源时,该公式以一种更好的方式完成任务分配,增加了完工时间并减少了延迟。
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引用次数: 0
Airline Customer Segmentation based on Complex Behavioral Approach using K-Mode and XG-Boost Algorithm 基于K-Mode和XG-Boost算法的复杂行为方法的航空公司客户细分
Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10151011
Mansi Mahendru, Archana Singh
Passenger disappointment with quality of services is one of the key component affecting the revenue deprivation of the airline industry. Now the airline industry has realized that traditional customer segmentation based on demographics does not reflect customer behavior. Airline is one of the global industries in which customer expectations change very rapidly. Dealing with those expectations in a highly competitive market means airlines must re-formulate their customer segmentation process, from social demography to more composite behavioral approach that consider the entire travel experience of the customer. To overcome above limitation, this study uses passenger booking GDS data having attributes such as user origin, destination, flight class, price, travel search category, trip span, time of fly, number of passengers, trip break and is round trip in order to predict the type of traveler I.e. whether a user is a family traveler, group traveler, business traveler and solo traveler. To find the pattern in the data this study illustrates the idea of applying K-Mode clustering which calculates the most optimal clusters within the data points. Then to predict the class of the traveler XG Boost algorithm is applied and for explaining the outcome of any machine learning model. Shapley Additive Explanations value analysis is used.
乘客对服务质量的失望是影响航空业收入减少的关键因素之一。现在航空业已经意识到,传统的基于人口统计的客户细分并不能反映客户的行为。航空公司是全球性行业之一,客户的期望变化非常迅速。在竞争激烈的市场中应对这些期望意味着航空公司必须重新制定他们的客户细分流程,从社会人口统计到更综合的行为方法,考虑客户的整个旅行体验。为了克服上述限制,本研究使用了包含用户来源、目的地、航班等级、价格、旅游搜索类别、行程跨度、飞行时间、乘客人数、行程休息时间和往返行程等属性的旅客预订GDS数据,以预测旅行者的类型,即用户是家庭旅行者、团体旅行者、商务旅行者还是独自旅行者。为了找到数据中的模式,本研究说明了应用k模式聚类的思想,该聚类计算数据点内最优的聚类。然后,为了预测旅行者的类别,应用XG Boost算法并解释任何机器学习模型的结果。采用Shapley加性解释值分析。
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引用次数: 0
Virtual Reality Based Training Simulator: A Bibliometric Analysis 基于虚拟现实的训练模拟器:文献计量学分析
Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10150887
Priyanka Datta, Amanpreet Kaur, A. Mantri
Innovation in immersive technologies is growing rapidly throughout the world with the development in industrial applications. In VR technology, a user is completely immersed in the virtual environment and totally detached from real world but feel the virtual world as real. This helps user to experience some scenario which is dangerous and costly in real time. Hence many VR Based Training Simulators (VRBTS) are developed. This paper presents Bibliometrix analysis on VRBTS domain, considering data from Scopus and Dimension databases. A scientific computer-assisted review approach called bibliometrix analysis can identify important researchers or authors as well as their connections across all the publications relevant to a specific field or subject.
随着工业应用的发展,沉浸式技术的创新在全球范围内迅速发展。在VR技术中,用户完全沉浸在虚拟环境中,与现实世界完全分离,但却感觉虚拟世界是真实的。这有助于用户实时体验一些危险和昂贵的场景。因此,许多基于虚拟现实的训练模拟器(VRBTS)应运而生。本文结合Scopus和Dimension数据库的数据,对VRBTS领域进行了文献计量分析。一种称为文献计量分析的科学计算机辅助审查方法可以识别重要的研究人员或作者,以及他们在与特定领域或主题相关的所有出版物中的联系。
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引用次数: 0
An Exhaustive Analysis on Security Issues concerning IoT using Blockchain 基于区块链的物联网安全问题详尽分析
Pub Date : 2023-05-11 DOI: 10.1109/ICDT57929.2023.10150747
Gaurav Vats, Pankaj Sharma
In today's world, the Internet of Things (IoT) has become an important part of daily life. Due to the exchange of information or data generated by sensors and various technologies used in IoT, the safety of an IoT system is becoming a major issue in technology-driven areas. On the other hand, blockchain, which started with Bitcoin, is now being actively explored for smart contracts that remove the need for a third- party and improve processes and transparency in different areas such as asset management, supply chain management, and healthcare networks. Furthermore, it has the potential to improve the quality of analytical systems by enabling users to trace immutable data from beginning to endpoint.The merger of both technologies, IoT and Blockchain, is one of the most noticeable advancements empowering digital transformation in every possible way. Blockchain endorses IoT devices, increasing reliability and clarity in the IoT system. With blockchain, IoT platforms, devices, and apps can run in a decentralized, scalable environment
当今世界,物联网(IoT)已经成为人们日常生活的重要组成部分。由于物联网中使用的传感器和各种技术产生的信息或数据的交换,物联网系统的安全性正在成为技术驱动领域的主要问题。另一方面,以比特币起家的区块链目前正在积极探索智能合约,以消除对第三方的需求,并改善资产管理、供应链管理和医疗保健网络等不同领域的流程和透明度。此外,它有可能通过使用户能够从开始到端点跟踪不可变的数据来提高分析系统的质量。物联网和区块链这两种技术的融合,是最显著的进步之一,可以以各种可能的方式推动数字化转型。区块链支持物联网设备,提高物联网系统的可靠性和清晰度。借助区块链,物联网平台、设备和应用程序可以在分散的、可扩展的环境中运行
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引用次数: 0
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2023 International Conference on Disruptive Technologies (ICDT)
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