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Prediction of Symptom Based Health Cautionary by using Machine Learning 基于症状的机器学习健康预警预测
Pub Date : 2021-12-30 DOI: 10.46860/cgcijctr.2021.12.31.221
Vijay Kumar Sinha, Meenakshi Jaiswal, Gurmeet Kaur, Shyam Lal
Conceptual - Machine learning is the subset of man-made reasoning that goes under information science. Without expressly customized, getting PCs to learn is a science known as Machine Learning. The proposal frameworks present in the market are believed to be working in popular applications like YouTube web-based media applications like Facebook, Instagram or item based applications like Flipkart. Essentially, these frameworks help to focus on data that is concerned or valuable for a specific client. One area where such frameworks can be exceptionally helpful is infection cautioning system. In light of an illness the client contributions to the framework, that he thinks they are inclined to or they are experiencing they will be proposed top 5 or top 3 sicknesses they are generally inclined to dependent on the likeness between the infection client inputted and the illness client is being suggested for this situation being cautioned. As of now, everything is accessible on the web, each infection and its data around there. Specialists are there yet at the same time the tally of sicknesses, number of patients for an illness is expanding. An individual has one sickness then there are chances they will get another. Illness include among youngsters in this age bunch is expanding at a huge rate. There is the fix of sicknesses or possibly not however shouldn't something be said about notice. On the off chance that we caution somebody before they are really experiencing an infection. It will make him/her much more mindful than previously. This paper analyzes existing recommender frameworks and furthermore features the disadvantages of such frameworks. Disadvantages can be versatility, cold beginning and sparsely. The proposed framework enjoys its benefits however isn't yet accessible on the lookout. Examination has been done on how this infection cautioning framework utilizing content-based suggestion under AI is removing highlights from dataset and how this framework presents highlights like client autonomy, straightforwardness and no virus start.
概念-机器学习是信息科学下的人工推理的子集。在没有明确定制的情况下,让电脑学习是一门被称为机器学习的科学。目前市场上的提案框架被认为适用于流行的应用程序,如YouTube基于网络的媒体应用程序,如Facebook、Instagram或基于物品的应用程序,如Flipkart。从本质上讲,这些框架有助于关注特定客户关心或有价值的数据。这类框架特别有用的一个领域是感染预警系统。鉴于病人对框架的贡献,他认为他们倾向于或正在经历的疾病他们将被建议前5或前3种疾病他们通常倾向于根据病人输入的感染和病人在这种情况下被建议的疾病之间的相似性。到目前为止,一切都可以在网上访问,每个感染及其数据都在网上。专家在那里,但与此同时,疾病的统计,患病人数正在增加。一个人得了一种病,就有可能得另一种病。这个年龄段的年轻人患病人数正以惊人的速度增长。有疾病的解决方案,或者可能没有,但不应该说一些关于通知。在他们真正经历感染之前我们警告他们的可能性很小。这会让他/她比以前更专注。本文分析了现有的推荐框架,并进一步分析了这些框架的缺点。缺点可能是多功能性,冷启动和稀疏。所提议的框架享有其好处,但目前还无法实现。已经检查了在AI下使用基于内容的建议的感染警告框架如何从数据集中删除亮点,以及该框架如何呈现客户端自主性,直观性和无病毒启动等亮点。
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引用次数: 1
Review various technologies used to manage Traffic Management System using IOT 回顾使用物联网管理交通管理系统的各种技术
Pub Date : 2021-12-30 DOI: 10.46860/cgcijctr.2021.12.31.235
Prince Goyal, Shanky Goyal, Navleen Kaur
Internet of things (IoT) is the network of the devices includes the updating in technology, various devices are using sensors, actuators, embedded computing and cloud computing. This type of system leads to smart architecture in the home, cities and smart world. IoT plays an important role in traffic controlling and managing. In this paper, we give an overview of the various methods of traffic control management. With the help of this IOT kit, which includes different sensors to collect the data and process it accordingly with the help of big data analysis and deep learning algorithms, most accurate and efficient results are obtained for traffic management.
物联网(IoT)是设备的网络,包括技术的更新,各种设备都使用传感器、执行器、嵌入式计算和云计算。这种类型的系统将导致家庭、城市和智能世界的智能建筑。物联网在流量控制和管理中发挥着重要作用。本文概述了交通控制管理的各种方法。这个IOT套件包含不同的传感器来收集数据,并在大数据分析和深度学习算法的帮助下进行相应的处理,从而获得最准确、最有效的交通管理结果。
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引用次数: 0
Botanical Pesticides: Use of Plants in pest management 植物性杀虫剂:植物在病虫害管理中的应用
Pub Date : 2021-12-30 DOI: 10.46860/cgcijctr.2021.12.31.271
Nidhi Gupta, Nitin Sharma, S. Ramniwas
Plants play a vital role in human life since the beginning of life on earth. Plants are not only directly used as a feed and fodder for humans and animals but are also used as drugs, food additives, pesticides, in flavor and fragrances and dye and pigments. The plants produce compounds for their growth and development and also produce secondary metabolites which provide additional properties to plants. These secondary metabolites produced by plant are responsible for these activities. Plants as a whole or in extracts/fractions form have been used as pesticides for protection of plants since thousands of years. Pyrethrum, neem, rotenone are such plants which has been used in many cultures and traditions for crop protection since ages and hold relevance in today’s world as well. The plant extracts contain secondary metabolites which provide protection to plants against pests by either causing mortality of pests or act as repellent to them. They can also impact pests by causing anti-feedancy, toxicity, alters insects behavior during oviposition and mating and inhibition of progeny emergence in pests. Essential oils isolated from the plants have also pesticidal properties. Lemongrass essential oil, Citronella essential oils, Tea tree essential oils and Oregano essential oils are the commonly used essential oils against the pests. In this review, botanical pesticides are discussed and their role in pest management and their advantageous over synthetic pesticides in terms of biodegradability, posing no or low risk to humans, environment and non-target organisms. Also, the future of botanical pesticides is discussed where they can be an alternative to synthetic pesticides if more research is done on their stability, efficacy, safety, modes of action, cost reduction is done.
自从地球上有生命以来,植物在人类生活中起着至关重要的作用。植物不仅直接用作人类和动物的饲料和饲料,而且还用作药物、食品添加剂、杀虫剂、香精和香料、染料和色素。植物为其生长发育产生化合物,也产生次生代谢物,为植物提供额外的特性。植物产生的次生代谢物负责这些活动。几千年来,植物作为整体或提取物/馏分形式一直被用作保护植物的杀虫剂。除虫菊、印楝、鱼藤酮等植物自古以来就在许多文化和传统中用于作物保护,在当今世界也具有相关性。植物提取物含有次生代谢物,通过引起害虫死亡或对它们起驱避作用来保护植物免受害虫侵害。它们还可以通过引起拒食,毒性,改变昆虫在产卵和交配期间的行为以及抑制害虫后代的出现来影响害虫。从植物中分离出的精油也具有杀虫特性。柠檬草精油、香茅精油、茶树精油和牛至精油是常用的防虫精油。本文综述了植物性农药及其在病虫害防治中的作用,以及植物性农药与合成农药相比在生物可降解性、对人类、环境和非目标生物无风险或低风险等方面的优势。此外,还讨论了植物性农药的未来,如果对植物性农药的稳定性、有效性、安全性、作用方式和成本降低进行更多的研究,植物性农药将成为合成农药的替代品。
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引用次数: 0
A Short Review on Application of Liquisolid Technology 液固技术应用综述
Pub Date : 2021-12-30 DOI: 10.46860/cgcijctr.2021.12.31.276
Shaveta Sharma, D. Sharma, Jyoti Singh
In this paper we have surveyed about formulation and evaluation of Liquisolid formulations and its work in antidiabetics . Mostly poorly water soluble drugs are in research category despite of less dissolution rate and poor bioavailability. Solubility is a vital parameter to develop new formulation as industries faced serious issue regarding the poor aqueous solubility of the drugs. Various methods for solubility enhancement include modifications of the drug, involvement of co-solvents, complexation, salt formation, size reduction. A propitious technique to solve major challenges like solubility, dissolution rate and their bioavailability. This technique can be defined as the conversion of poorly soluble liquid medications into non-adherent, dry, compressible and free flowing powder mixtures with help of excipients. Many anti-diabetic drugs are belonging to BCS Class-II facing challenges like solubility and bioavailability.
本文综述了液体固体制剂的配方、评价及其在抗糖尿病方面的作用。水溶性较差的药物虽然溶出率较低,生物利用度较差,但大多属于研究范畴。溶解度是开发新配方的重要参数,因为工业面临着药物水溶性差的严重问题。提高溶解度的各种方法包括药物的修饰、助溶剂的参与、络合、盐的形成、尺寸的减小。一种解决溶解度、溶出率和生物利用度等重大挑战的有利技术。该技术可以定义为在赋形剂的帮助下,将难溶性液体药物转化为非粘附、干燥、可压缩和自由流动的粉末混合物。许多降糖药属于BCS ii类,面临溶解度和生物利用度等方面的挑战。
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引用次数: 1
Analysis of Various Network Traffic Classification Techniques 各种网络流量分类技术分析
Pub Date : 2021-12-30 DOI: 10.46860/cgcijctr.2021.12.31.261
Shivam Puri, Sukhpreet Kaur
There are several interconnected entities present within the networked data for which the generation of inferences is important. For instance, hyperlinks are used to interconnect the web pages, calls are used to link the phone accounts, and references are used to connect the research papers and so on. Almost every existing application includes networks within it. The daily lives of individuals include social networking, making financial transactions, generating networks that show physical systems and so on. The manner in which the nodes present within the system influence each other can be known through this research. On the basis of observed attributed of an object within the system, another attributed is predicted using new model. The various network traffic classification techniques are reviewed in terms of certain parameters.
在网络数据中存在几个相互连接的实体,对这些实体,推理的生成是重要的。例如,超链接用于连接网页,呼叫用于连接电话帐户,参考文献用于连接研究论文等等。几乎每个现有的应用程序都包含网络。个人的日常生活包括社交网络、进行金融交易、生成显示物理系统的网络等等。通过这项研究,可以了解系统内节点相互影响的方式。在观测到系统内某一物体属性的基础上,利用新模型对另一物体属性进行预测。从某些参数的角度对各种网络流分类技术进行了综述。
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引用次数: 0
Teaching Learning Based Optimization (TLBO) for energy efficiency in Fog Computing 基于教学的雾计算能效优化(TLBO)
Pub Date : 2021-12-30 DOI: 10.46860/cgcijctr.2021.12.31.248
Amanpreet Kaur, H. Wadhwa, Pardeep Singh, H. Toor
Fog Computing is eminent to ensure quality of service in handling huge volume and variety of data and to display output, or for closed loop process control. It comprises of fog devices to manage huge data transmission but results in high energy consumption, end-to end-delay, latency. In this paper, an energy model for fog computing environment has been proposed and implemented based on teacher student learning model called Teaching Learning Based Optimization (TLBO) to improve the responsiveness of the fog network in terms of energy optimization. The results show the effectiveness of TLBO in choosing the shortest path with least energy consumption.
雾计算在处理海量、多样的数据、显示输出、闭环过程控制等方面具有重要的服务质量保证作用。它由雾设备组成,以管理大量数据传输,但导致高能耗,端到端延迟,延迟。本文在师生学习模型的基础上,提出并实现了一种雾计算环境的能量模型,称为基于教学的学习优化(TLBO),以提高雾网络在能量优化方面的响应能力。结果表明,TLBO在选择能量消耗最小的最短路径上是有效的。
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引用次数: 0
Optimized Routing Protocols- Enhancement in Mobile Adhoc Network 优化的路由协议。移动自组网中的增强
Pub Date : 2021-12-30 DOI: 10.46860/cgcijctr.2021.12.31.253
Priya Thakur, Sukhpreet Kaur
The recent developments in wireless technology have piqued academics' curiosity. Mobile Adhoc Networks (MANET) is a fast-growing networking architecture used in emergency, disaster, and tactical operations applications. It covers a wide range of applications with some degradation due to its flexible and expandable nature. Because routing is the primary function of wireless networks, routing protocol design is critical in Adhoc networks. Various methods have been used to improve the performance of current routing protocols in different categories. Technical advances in routing protocols have recently been achieved, combined with optimization approaches to improve the overall performance of MANETs routing protocols. This research initially looked at several sorts of routing protocols before going through their variations for energy economy and latency reduction. The previous protocols, which were created utilizing optimization methods, will then illustrate the current requirement. Finally, the review analysis delves into many aspects such as commonly used protocols, optimization techniques, QoS parameters, performance metrics, and future paths.
最近无线技术的发展激起了学者们的好奇心。移动自组网(MANET)是一种快速发展的网络架构,用于应急、灾难和战术操作应用。由于其灵活性和可扩展性,它涵盖了广泛的应用,但也有一些退化。由于路由是无线网络的主要功能,路由协议的设计在Adhoc网络中至关重要。为了提高当前路由协议在不同类别中的性能,已经采用了各种方法。路由协议的技术进步最近取得了进展,并结合优化方法提高了manet路由协议的整体性能。本研究首先研究了几种路由协议,然后研究了它们在能源经济性和延迟减少方面的变化。前面的协议是利用优化方法创建的,然后将说明当前的需求。最后,回顾分析深入探讨了许多方面,如常用协议、优化技术、QoS参数、性能指标和未来路径。
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引用次数: 0
Trust-Based Security: Advancement towards Protection of the Adhoc Network 基于信任的安全:向Adhoc网络保护迈进
Pub Date : 2021-12-30 DOI: 10.46860/cgcijctr.2021.12.31.240
Samita Dhiman, Manish Kumar
MANET (mobile ad hoc network) is a collection of mobile nodes that interact without the need for a fixed physical foundation. MANETs have grown in popularity as a result of characteristics like dynamic topology, quick setup, multi-hop data transfer, and so on. MANETs are well-suited to various real-time applications, including environmental monitoring, disaster management, and covert and military operations, because of their distinguishing characteristics. MANETs may also be used in conjunction with new technologies like cloud computing, IoT, and machine learning algorithms to help realize the vision of Industry 4.0. Secure and reliable data transfer is essential for any MANET-based sensitive real-time applications that must achieve the requisite QoS. It is challenging to provide safe and efficient data transfer with MANET. As a result, this article examines different Trust-based Approaches that take a step forward in providing secure transmission while simultaneously improving MANET performance. Furthermore, the study's analysis based on many aspects exposes the inadequacies of existing techniques and provides future directions for improvement.
MANET(移动自组织网络)是一组无需固定物理基础即可进行交互的移动节点。由于具有动态拓扑结构、快速设置、多跳数据传输等特点,manet越来越受欢迎。由于其独特的特性,manet非常适合各种实时应用,包括环境监测、灾害管理、隐蔽和军事行动。manet还可以与云计算、物联网和机器学习算法等新技术结合使用,以帮助实现工业4.0的愿景。安全可靠的数据传输对于任何基于manet的敏感实时应用都是必不可少的,这些应用必须达到必需的QoS。在MANET上提供安全、高效的数据传输是一个挑战。因此,本文研究了不同的基于信任的方法,这些方法在提供安全传输方面向前迈进了一步,同时提高了MANET性能。此外,本研究基于多个方面的分析,暴露了现有技术的不足之处,并提供了未来的改进方向。
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引用次数: 0
Techniques to Determine Powder Flow Properties 测定粉末流动特性的技术
Pub Date : 2021-07-30 DOI: 10.46860/cgcijctr.2021.06.31.199
Shaveta Sharma, Teenu Sharma, Mahak Deep, Ashima Sharma
The goal of the current work was to do an orderly assessment of flow of powders and granules using compendial and non-compendial procedure. Angle of repose, Tapped density, Carr's compressibility file, Bulk density, Hausner’s ratios were assessed. Moreover, flow was described utilizing powder rheometer wherein delicate force transducer screens the forces created as consequence of the sample displacement, another technique FT4 powder rheometer. The Freeman Technology (FT4 powder rheometer) is intended to describe powders undergoing different circumstances in manners that look like wide scale creation climate. Techniques incorporate security and irregular flow rate, compressibility, shear cell, air circulation, porousness, divider contact and union. The FT4 has demonstrated application on the whole powders preparing ventures, including drugs, fine synthetic substances, cosmetics, food, additives and powder covering. The FT4 application connect to filling, hopper flow, Tablet pressure, wet granulation, end point, flow added substance determination and enhancement, moisture impacts, static change, feeding, stirring, separation, caking, processing, Wall grating, grip, hopper configuration etc.
当前工作的目标是使用药典和非药典程序对粉末和颗粒的流动进行有序的评估。评估休止角、密度、卡尔压缩系数、体积密度、豪斯纳比。此外,利用粉末流变仪描述了流量,其中精密的力传感器筛选由于样品位移而产生的力,这是另一种技术FT4粉末流变仪。弗里曼技术(FT4粉末流变仪)旨在描述粉末在不同情况下的方式,看起来像大规模的创造气候。技术包括安全性和不规则流速、可压缩性、剪切细胞、空气循环、孔隙度、隔板接触和结合。FT4已在包括药品、精细合成物质、化妆品、食品、添加剂和粉末覆盖在内的整个粉末制备企业中得到了应用。FT4的应用涉及灌装、料斗流量、片剂压力、湿造粒、终点、流量添加物的测定和增强、水分影响、静态变化、进料、搅拌、分离、结块、加工、壁栅、握把、料斗配置等。
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引用次数: 1
High Performance Hybrid Graphene Nano Filters as a Total dissolved solid remover 高性能混合石墨烯纳米过滤器作为全溶解固体去除剂
Pub Date : 2021-07-30 DOI: 10.46860/cgcijctr.2021.06.31.177
Renuka Sharma, Pratyush Shekhar
Graphene, a single-layer carbon sheet with its distinctive two-dimensional (2D) single-atomic-thick sp2 hybridized hexagonal packed lattice structure which is nearly friction less with high chemical inertness, and pliability which can be manufactured sustainably in great amounts with less expense, has shown many unique properties, Graphene has attracted tremendous research interest in recent years, owing to its exceptional properties. The scaled-up and reliable production of graphene derivatives, such as graphene oxide (GO) and reduced graphene oxide (GO), offers a wide range of possibilities to produce nano-filters containing graphene membrane which is capable to remove ninety percent of the heavy contaminants from different sources of water and to reduce the level of total dissolved solids, salinity, and neutralizes the pH level further inorganic membrane used in synergism with graphene oxide shows improved efficiency and reduction in cost of production of separation membranes. In this review, we demonstrated real world application of graphene, Fabricated with Several Metal Oxides in synergism to illustrate enhanced photocatalysis properties, Flexural strength and anti-fouling characteristics of the material in comparisons to conventional membrane, photocatalytic metal oxides nanoparticles such as Titania TiO2, Zirconia ZrO2, Alumina Al2O3, and Silica SiO2 functions in the presence of Multiple Spectrums of Light by absorbing photons and releasing Oxygen Radical which degrades harmful water pollutants into less harmful substances.
石墨烯是一种单层碳片,具有独特的二维(2D)单原子厚sp2杂化六方填充晶格结构,具有几乎无摩擦的高化学惰性,以及可大量低成本持续制造的柔韧性,显示出许多独特的性能,近年来由于其特殊的性能引起了极大的研究兴趣。石墨烯衍生物,如氧化石墨烯(GO)和还原氧化石墨烯(GO)的规模化和可靠生产,为生产含有石墨烯膜的纳米过滤器提供了广泛的可能性,这种过滤器能够从不同的水源中去除90%的重污染物,并降低总溶解固体、盐度、与氧化石墨烯协同作用的无机膜进一步提高了分离膜的效率,降低了分离膜的生产成本。在这篇综述中,我们展示了石墨烯的实际应用,与几种金属氧化物协同制备,以说明与传统膜相比,该材料具有增强的光催化性能,弯曲强度和抗污染特性,光催化金属氧化物纳米颗粒如二氧化钛,氧化锆ZrO2,氧化铝Al2O3,二氧化硅(SiO2)在多光谱光存在下发挥作用,吸收光子并释放氧自由基,将有害的水污染物降解为危害较小的物质。
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引用次数: 0
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CGC International Journal of Contemporary Technology and Research
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