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A Comparative Performance Analysis on GIS based Web Development using Geoserver versus without using Geoserver 基于GIS的Web开发中使用Geoserver与不使用Geoserver的性能比较分析
Pub Date : 2022-04-30 DOI: 10.47760/ijcsma.2022.v10i04.001
Sushil Chandra, U. Raj, Rajeev Sonkar, Ujjwal Yadav, P. Srivastava, Rishikesh Gond
The main objective of this paper is to use of open source geospatial and software development technologies. Technologies emerging day by day, Internet make this possible, to connect across the world from one point and collect information of whole world. We can also collect data of earth through satellite imagery. GIS played a vital role in development, it make data visualize, store, analyze and helps in making of maps. It is able to analyses past data and present data based on that make future predictions. Now a day, All the data is collected with its geographical extents, this data is prepared as Geo-spatial data, it can be easily show on maps. The portal developed based on GIS makes better experience and interactive for users. We can easily make planning and other decision making.
本文的主要目的是利用开源地理空间和软件开发技术。技术日新月异,互联网使这成为可能,从一点连接世界各地,收集整个世界的信息。我们还可以通过卫星图像收集地球的数据。地理信息系统在发展中发挥了至关重要的作用,它使数据可视化,存储,分析和帮助制作地图。它能够分析过去的数据和现在的数据,并以此为基础做出未来的预测。现在每天,所有的数据都是按其地理范围收集的,这些数据被制作成地理空间数据,可以很容易地显示在地图上。基于GIS开发的门户为用户提供了更好的体验和交互性。我们可以很容易地制定计划和其他决策。
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引用次数: 0
A Review: Data Mining Techniques and Its Applications 数据挖掘技术及其应用综述
Pub Date : 2022-03-30 DOI: 10.47760/ijcsma.2022.v10i03.001
Amal Abdulbaqi Maryoosh, E. Hussein
Data mining is a set of processes by which knowledge is extracted from huge amounts of data. Data mining is used to extract useful patterns and hidden information from this data. Machine learning techniques help in the comprehension of the hidden knowledge in the data. Data mining is considered an important field of research and is used in many different fields such as fraud detection, financial banking, education, healthcare, agriculture, industry, etc. In this paper, we will highlight some fundamentals of data mining and its applications. Also, we will conduct a comparative study among different reviews, combining literary studies that employed data mining techniques in various fields and reviewing the latest developments in this field.
数据挖掘是从大量数据中提取知识的一系列过程。数据挖掘用于从这些数据中提取有用的模式和隐藏的信息。机器学习技术有助于理解数据中隐藏的知识。数据挖掘被认为是一个重要的研究领域,并被用于许多不同的领域,如欺诈检测、金融银行、教育、医疗保健、农业、工业等。在本文中,我们将重点介绍数据挖掘的一些基础知识及其应用。同时,我们将在不同的综述之间进行比较研究,结合各个领域使用数据挖掘技术的文献研究,回顾该领域的最新进展。
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引用次数: 0
Mathematical Analysis of Efficacy of Condom as a Contraceptive on the Transmission of Chlamydia Disease 避孕套作为避孕手段对衣原体疾病传播效果的数学分析
Pub Date : 2022-02-28 DOI: 10.47760/ijcsma.2022.v10i02.002
Akeem O. Yunus, M. A. Omoloye
Chlamydia disease caused by the Chlamydia trachomatis is one of the major sexually transmitted infectious diseases globally. The progression of this disease has deadly effects cumulating into millions of death. Chlamydia causes numerous complications such as infertility in female, chronic pelvic pain and inflammation. Previous studies did not consider the effects of undetected infected individuals on the dynamic spread of the disease. Hence, this work investigated the effects of undetected infected individuals and efficacy of condom as a contraceptive in the dynamic spread of the disease. A six compartmental model to study the dynamic spread of chlamydia disease was developed using system of ordinary differential equation. The population was divided into susceptible, exposed, infected undetected symptomatic, infected detected symptomatic, infected asymptomatic and recovered individuals. The well-posedness of the model was investigated by the positivity of solution technique. Basic reproduction number (R0) was computed using Next Generation Matrix Method. The endemic equilibrium was investigated by the use of Lyapunov function. The results showed that the disease free equilibrium was stable whenever the basic reproduction number is less than unity (R0<1). The endemic equilibrium was found to be stable as a results of constructed Lyapunov function being negative definite. Numerical analysis showed that increasing in the undetected infected individuals enhanced the spread of the disease. Findings showed that undetected infected individuals played a vital role in the spread of Chlamydia disease. Moreover, using condom as a contraceptive reduced the spread of the disease.
由沙眼衣原体引起的衣原体病是全球主要的性传播传染病之一。这种疾病的发展具有致命的影响,累积起来造成数百万人死亡。衣原体引起许多并发症,如女性不孕,慢性盆腔疼痛和炎症。以前的研究没有考虑未被发现的感染者对疾病动态传播的影响。因此,这项工作调查了未被发现的感染个体的影响和避孕套作为一种避孕手段在疾病的动态传播中的功效。利用常微分方程建立了衣原体疾病动态传播的六室模型。人群分为易感个体、暴露个体、感染未发现症状个体、感染已发现症状个体、感染无症状个体和痊愈个体。利用正解技术考察了模型的适定性。采用下一代矩阵法计算基本繁殖数(R0)。利用Lyapunov函数研究了地方性平衡。结果表明,当基本繁殖数小于1时,无病平衡稳定(R0<1)。由于构造的李雅普诺夫函数是负定的,地方性平衡是稳定的。数值分析表明,未被发现的感染个体的增加促进了疾病的传播。研究结果表明,未被发现的感染个体在衣原体疾病的传播中起着至关重要的作用。此外,使用避孕套作为避孕手段减少了疾病的传播。
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引用次数: 0
A Reliable Mobile Application Package Picker and Delivery System 一个可靠的移动应用程序包选择和交付系统
Pub Date : 2022-02-28 DOI: 10.47760/ijcsma.2022.v10i02.001
Desmond Bala Bisandu, Obateru Joshua Adedotun, F. L. Gambo
The need for people to transport goods or send and receive packages across different locations in Nigeria is growing, and the consumers need. Other methods of transporting goods and different companies that handle this transportation have sprung up over the years, but only a small number of these cut across the entire country while still providing an efficient solution. This research presents an innovative solution that simplifies logistics processes for both the consumer and the service provider, from the point of request to the end of delivery, while also addressing other issues involving delivery speed and reliability. The findings of this study show massive agreement with theoretical predictions and a significant improvement over previous research efforts. The work presented in this research has important implications for future studies involving delivery system optimisation and may help solve all problems involving the entire delivery process system in Nigeria and beyond.
在尼日利亚,人们在不同地点运输货物或收发包裹的需求正在增长,消费者需要。多年来,其他运输货物的方法和处理这种运输的不同公司如雨后春笋般涌现,但只有一小部分在全国范围内,同时仍然提供有效的解决方案。这项研究提出了一种创新的解决方案,简化了消费者和服务提供商的物流流程,从请求点到交付结束,同时也解决了涉及交付速度和可靠性的其他问题。这项研究的结果显示了与理论预测的巨大一致性,并且比以前的研究工作有了显著的改进。本研究中提出的工作对涉及交付系统优化的未来研究具有重要意义,并可能有助于解决涉及尼日利亚及其他地区整个交付过程系统的所有问题。
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引用次数: 0
Design and Develop the B2C Farming Information System Solution using Mobile and Web Geospatial Development Technologies for Smart Supply Chain of Fruit Crops of UP, India 利用移动和Web地理空间开发技术,设计和开发印度北方邦水果作物智能供应链的B2C农业信息系统解决方案
Pub Date : 2022-01-30 DOI: 10.47760/ijcsma.2022.v10i01.001
Sushil Chandra, Rajeev Sonkar, Ujjwal Yadav, P. Srivastava, Sanghmitra Sanghmitra
The main objective of writing this paper is to use innovative blend of open source geospatial and software development technologies, for maximizing benefits to both exporter/buyer and grower/farmer, by establishing smart supply chain of the fruit crops of UP, India The striving endeavour drone to build and/or utilize develop GIS, web GIS Portal, and Mobile Application by synergizing computer . In this, this anomalous problem can be solved by creating a web GIS portal and mobile application by coordinating computer science, GIS, remote sensing and mobile technology. After analyzing the satellite remote sensing data, the information of various Orchards are extracted and converted to GIS feature geodatabase. The format is converted and imported into the mobile application, with the help of Geographical Coordinates, the fruit related information of their field be filled by grower/farmer through handy user-friendly vernacular Mobile Application. The submitted information pulled on created user-friendly GIS Portal. After filling it, the web will be updated automatically on the GIS portal. With the help of latitude and longitude, all the information of crop information of the farmer such as which variety of fruit is available in the field and how much quantity can be filled in the mobile application. After filling it, the web will be updated automatically on the GIS portal. All buyer's list will already be available on the web GIS portal, this will end the problems of both the farmer and the buyer.
撰写本文的主要目的是使用开源地理空间和软件开发技术的创新融合,通过建立印度北方邦水果作物的智能供应链,最大限度地提高出口商/买方和种植者/农民的利益。通过协同计算机,无人机努力建立和/或利用开发GIS, web GIS门户和移动应用程序。通过计算机科学、地理信息系统、遥感和移动技术的协调,创建一个web GIS门户和移动应用程序,可以解决这一异常问题。通过对卫星遥感数据的分析,提取各类果园信息,并将其转换为GIS特征地理数据库。该格式被转换并导入到移动应用程序中,在地理坐标的帮助下,种植者/农民可以通过方便易用的本地移动应用程序填写田地的水果相关信息。提交的信息拉上创建了用户友好的GIS门户。填好后,网页将在GIS门户上自动更新。在经纬度的帮助下,可以在手机应用中填写农民的所有作物信息,如田间有哪些水果品种,数量多少等。填好后,网页将在GIS门户上自动更新。所有买家的名单将已经在web GIS门户网站上提供,这将结束农民和买家的问题。
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引用次数: 0
Significant Applications of IoT in Covid Pandemic: A Systematic Review 物联网在新冠疫情中的重要应用:系统综述
Pub Date : 2021-12-30 DOI: 10.47760/ijcsma.2021.v09i12.001
S. M
Today the entire world is in the exigency state-COVID-19 quarantine days. We should stay home to live. To avoid a fight over the spread of corona, the governments of all the countries have enforced a nationwide lockdown. Though the lockdown may have helped to control the spread of COVID, it has had a devastating impact on numerous domains like health, agriculture, education, global supply chains, trade, and various industries like automotive, power – electronics, travel, aeronautical, tourism industry…etc, which are the basic roots of the growth of a nation. This censorious situation can be wielded with the eminent technology “IoT”. Anytime, Anything, Anywhere”- this is the most significant feature of IoT. Any real-world object can be transformed into an intelligent object by the technology “IoT”. Because of the affordability and availability of smart devices, the entire world is more connected with IoT than ever before. From this standpoint, the authors have chosen five real-time areas health, education, industry, agriculture, and society. This survey initiates from the impacts of COVID in the above-chosen areas, how it diminishes the day-to-day events of human life, the vitality of IoT, how it helps to tackle the COVID issues without any quality degradation in this quarantine period. This systematic review completely appraises the innovations and contributions of IoT used by various researchers to defend the impacts of COVID and concludes with the pros and cons. A detailed exploration has been done in this article particularly on “IoT in COVID pandemic”. This will be more useful to the researchers to acquire clear-cut knowledge about the power of IoT, in particular how IoT plays a significant role in the period of COVID and further assists them to travel towards an innovative and serviceable direction in their research.
今天,全世界都处于covid -19隔离的紧急状态。我们应该呆在家里生活。为了避免冠状病毒传播的斗争,各国政府都在全国范围内实施了封锁。虽然封锁可能有助于控制疫情的传播,但它对卫生、农业、教育、全球供应链、贸易等众多领域以及汽车、电力电子、旅游、航空、旅游业等各个行业产生了破坏性影响,这些行业是一个国家发展的根本。这种审查的情况可以利用著名的技术“物联网”。任何时间、任何东西、任何地方”——这是物联网最重要的特征。通过“物联网”技术,任何现实世界的物体都可以转化为智能物体。由于智能设备的可负担性和可用性,整个世界与物联网的联系比以往任何时候都更加紧密。从这个角度来看,作者选择了健康、教育、工业、农业和社会五个实时领域。本调查从COVID对上述选定领域的影响开始,它如何减少人类生活的日常事件,物联网的活力,以及它如何在隔离期内帮助解决COVID问题而不降低质量。这篇系统综述全面评估了各种研究人员用来捍卫COVID影响的物联网的创新和贡献,并总结了利弊。本文特别针对“COVID大流行中的物联网”进行了详细的探索。这将更有助于研究人员获得关于物联网力量的明确知识,特别是物联网在COVID期间如何发挥重要作用,并进一步帮助他们在研究中朝着创新和可服务的方向前进。
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引用次数: 0
Various Phytochemicals Present in Maida Lakdi Litsea glutinosa (Lour) acts in the Management of Waja ul Mafasil (Arthritis) in a Clinical Trials Maida Lakdi Litsea glutinosa (Lour)中存在的各种植物化学物质在治疗Waja ul maasil(关节炎)中的临床试验
Pub Date : 2021-11-30 DOI: 10.47760/ijcsma.2021.v09i11.001
Zaibunnisa Begum, Noor Banu Noorein, Shenaz Begum Modi
Litsea glutinosa (Lour) Maida Lakdi is an evergreen tree belonging to family Lauraceae it is a native to India.1,2,3 Ethinomedically the bark is used by the traditional practitioners as a demulcent, emollient and in the treatment of diarrhea and dysentery. According to ancient Unani classical text books by our ancient scholars which was used for mostly bony diseaseslike Fracture (kasar), Joint pain(Hudaar), gout(Naqras), sciatica(lrqun nasa), anti inflammatory(Muhalil e Auram), spacity of nerves(Tashannunj e Asab), nervine tonic(Muqavi e Asab)etc. and now a days further activities were found by various scientific studies paving a way for multi functional activities like Anti oxidant , analgesic anti inflammatory, anti pyretic, anti microbial, anti bacterial, anti fungal anti helminthic, wound healing, hepatoprotective, nephro protective, anti infertility,anti hyperglycemic and anti hyperlipidemic.
Litsea glutinosa (Lour) Maida Lakdi是一种常绿树木,属于樟科,原产于印度。在医学上,树皮被传统从业者用作镇痛、润湿和治疗腹泻和痢疾。根据我们古代学者的古代Unani经典教科书,它主要用于骨疾病,如骨折(kasar),关节痛(Hudaar),痛风(Naqras),坐骨神经痛(lrqun nasa),抗炎(Muhalil e Auram),神经空间(Tashannunj e Asab),神经补药(Muqavi e Asab)等。目前,多项科学研究发现其具有抗氧化、镇痛、抗炎、退热、抗微生物、抗菌、抗真菌、抗寄生虫、伤口愈合、保肝、保肾、抗不孕、抗高血糖、抗高脂血症等多种功能。
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引用次数: 0
Role of Unani Herbal Formulation of Sumbul-Ut-teeb (Nardostachys jatamansi) & Khulanjan (Alpinia galangal) in the Management of Tashhamul kabid (Fatty Liver) in a Clinical Study
Pub Date : 2021-11-30 DOI: 10.47760/ijcsma.2021.v09i11.002
Zaibunnisa Begum, Noor Banu Noorein, Mazharul Hasan S
sumbul-ut-teeb (Nardostachys jatamansi) & khulanjan (Alpinia galanga)are extensively used drugs by our ancient Unani physicians for the management of Gastro hepatic diseases due to cold temperament such as gastritis,metabolic disorders, tashhamul kabid (fatty liver)
我们的古代乌纳尼医生广泛使用三叶(Nardostachys jatamansi)和高良姜(Alpinia galanga)来治疗胃炎、代谢紊乱、脂肪肝等因寒性而引起的胃肝疾病。
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引用次数: 0
Sentiment Analysis on Twitter Data: A Comparative Approach Twitter数据的情感分析:一种比较方法
Pub Date : 2021-10-30 DOI: 10.47760/ijcsma.2021.v09i10.001
Subhadip Chandra, Randrita Sarkar, Sayon Islam, Soham Nandi, Avishto Banerjee, K. Chatterjee
Sentiment analysis is the methodical recognition, extraction, quantification, and learning of affective states and subjective information using natural language processing, text analysis, computational linguistics, and biometrics. People frequently use Twitter, one of numerous popular social media platforms, to convey their thoughts and opinions about a business, a product, or a service. Analysis of tweet sentiments is particularly useful in detecting if people have a good, negative, or neutral opinion. This study assesses public opinion about an individual, activity, commodity, or organization. The Twitter API is utilised in this article to directly get tweets from Twitter and develop a sentiment categorization for the tweets. This paper has used Twitter data for two separate approaches, viz., Lexicon & Machine Learning. Lexicon based approach further categorized in Corpus-based and Dictionary-based. And various Machine learning-based approaches like Support Vector Machine (SVM), Naïve Bayes, Maximum entropy are used to analyse Twitter data. Neural Network (NN), Decision tree-based sentiment analysis is also covered in this research work, to find out better accuracy of the approaches in the various data range. Graphs and confusion matrices are used to visualise the results of the analysis for positive, negative, and neutral remarks regarding their opinions.
情感分析是使用自然语言处理、文本分析、计算语言学和生物识别技术对情感状态和主观信息进行系统的识别、提取、量化和学习。人们经常使用Twitter(众多流行的社交媒体平台之一)来传达他们对企业、产品或服务的想法和意见。对推特情绪的分析在检测人们的观点是正面的、负面的还是中立的方面特别有用。这项研究评估公众对个人、活动、商品或组织的看法。本文使用Twitter API直接从Twitter获取tweet,并为tweet开发情感分类。本文将Twitter数据用于两种不同的方法,即Lexicon和机器学习。基于词典的方法进一步分为基于语料库和基于词典。各种基于机器学习的方法,如支持向量机(SVM), Naïve贝叶斯,最大熵被用来分析Twitter数据。本研究还涵盖了神经网络(NN)、基于决策树的情感分析,以在不同的数据范围内找出更好的方法的准确性。图表和混淆矩阵用于可视化分析结果,以获得关于他们意见的积极,消极和中立的评论。
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引用次数: 0
期刊
International Journal of Computer Science and Mobile Applications
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