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A Cybersecurity Culture Framework for Grassroots Levels in Zimbabwe 津巴布韦基层网络安全文化框架
Pub Date : 2022-02-28 DOI: 10.13005/ojcst14.010203.03
G. Kabanda, Tinashe Chingoriwo
Cybersecurity is a combination of technologies, processes and operations that are designed to protect information systems, computers, devices, programs, data and networks from internal or external threats, harm, damage, attacks or unauthorized access1.The research was purposed to develop a cybersecurity culture framework which ensures that grassroot users of cyberspace are secured from cyber threats. Literature review showed that in Zimbabwe, no research had attempted to come up with a cybersecurity culture framework for grassroot users of cyberspace.The research was guided by the interpretivist paradigm and employed a qualitative methodology. A descriptive research design was used to answer the research questions and unstructured interviews were done to ascertain the cybersecurity needs and challenges of grassroot users of cyberspace. A cybersecurity culture framework was then crafted based on the research findings. The researchers recommended that Zimbabwe should have a cybersecurity vision and strategy that cascades to the grassroot users of cyberspace. Furthermore, the education curricula should be revised so that it incorporates cybersecurity courses at primary and secondary school level .This will then ensure that ICT adoption is matched with cyber hygiene and responsible use of cyberspace.
网络安全是旨在保护信息系统、计算机、设备、程序、数据和网络免受内部或外部威胁、伤害、破坏、攻击或未经授权访问的技术、流程和操作的组合。该研究旨在建立一个网络安全文化框架,以确保网络空间的基层用户免受网络威胁。文献综述表明,在津巴布韦,没有研究试图为网络空间的基层用户提出网络安全文化框架。本研究以解释主义范式为指导,采用定性研究方法。采用描述性研究设计来回答研究问题,并通过非结构化访谈来确定网络空间基层用户的网络安全需求和挑战。然后根据研究结果制定了网络安全文化框架。研究人员建议津巴布韦应该有一个网络安全的愿景和战略,它可以级联到网络空间的基层用户。此外,教育课程亦应修订,纳入中小学的网络安全课程,以确保资讯及通讯科技的采用与网络卫生及负责任地使用网络空间相配合。
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引用次数: 1
ICT in Agriculture: Creating SMART Farmers 信息通信技术在农业中的应用:创造聪明的农民
Pub Date : 2022-02-28 DOI: 10.13005/ojcst14.010203.04
Aparana Sharma
Agriculture is the backbone of any country and India is blessed to have agriculture as the main occupation of a large population. The varied geographical terrain of India provides an opportunity for yearlong production of crops. With the onset of technical revolution in all the areas of life, all over the world, agriculture is not untouched. The developments in ICT has revolutionized agricultural operations many folds. Be it the meteorological information, soil health, seed health, fertilizer application or even the insect attack on the crops, all are being regulated by the ICT applications in one form or other. Our today’s farmer is well informed about the use of new technologies in agriculture and is very efficiently utilizing the information in an intelligent way. All these are irrespective of the region, season, crop, place or the location. The use of Information Technology has made our farmers SMART, i.e., they are Self Monitoring, Analyzing and Reporting through the use of adequate Technology. The use of proper IT tools has given both the scientists and farmers a suitable platform to interact more frequently and on time. The scientists are using ICT tools to reach the farmers on their fields and our farmers has brought their knowledge to the labs for further growth and development in the field of agriculture. The present paper is a review on the current ICT applications which is making our farmers SMARTER and self reliant. There are many initiatives of government and private organizations to bring our farmers closer to the technologies developed for their benefit. The current paper is an attempt to visualize the efforts made by scientists and technologists in the field of information and Technology for the benefit of farmers and towards the end it conceptualizes the application of ICT and its use by our farmers.
农业是任何国家的支柱,印度很幸运,农业是人口众多的主要职业。印度多变的地理地形为全年的农作物生产提供了机会。随着技术革命在生活的各个领域的开始,在世界各地,农业并没有受到影响。信息和通信技术的发展使农业经营发生了多方面的革命。无论是气象信息、土壤健康、种子健康、施肥,甚至是作物虫害,都以这样或那样的形式受到信息和通信技术应用的管制。我们今天的农民对农业新技术的使用非常了解,并且以一种智能的方式非常有效地利用这些信息。所有这些都与地区、季节、作物、地点或位置无关。资讯科技的使用使我们的农民变得聪明,也就是说,他们通过使用适当的技术进行自我监测、分析和报告。适当的信息技术工具的使用为科学家和农民提供了一个合适的平台,可以更频繁、更及时地进行互动。科学家们正在使用信息通信技术工具与农民接触,而我们的农民则将他们的知识带到实验室,以促进农业领域的进一步发展。本文综述了当前信息通信技术的应用,使我们的农民更加聪明和自力更生。有许多政府和私人组织的倡议,使我们的农民更接近为他们的利益而开发的技术。本文试图将科学家和技术人员在信息和技术领域为农民的利益所做的努力形象化,最后将信息和通信技术的应用及其在农民中的使用概念化。
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引用次数: 0
Role of Librarian in Electronic Libraries 馆员在电子图书馆中的角色
Pub Date : 2022-02-28 DOI: 10.13005/ojcst14.010203.05
Shinde Mahadu Manoharrao, Madhav r. Patil, Munjewar Subhadra Amrat
The term information electronic library it’s need and importance and takes a stock of some notable efforts being made to initiate information electronic library activities in different parts the world.The aim of electronic library is to explorer and to collect useful knowledge over above faster coping. Search and to distribute. So present paper discuses in electronic library services. It’s meaning, feature, feature, roll of librarians, services of e-libraries, advantages, disadvantages, and objective etc..
“信息电子图书馆”一词是指世界各地为开展信息电子图书馆活动所做的一些值得注意的努力。电子图书馆的目标是探索和收集有用的知识,而不是更快地应对。搜索和分发。因此,本文对电子图书馆服务进行了探讨。电子图书馆的意义、特点、特点、馆员队伍、服务、优势、劣势、目标等。
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引用次数: 0
Classification of Lumber Spine Disc Herniation using Machine Learning Methods 用机器学习方法分类腰椎间盘突出症
Pub Date : 2022-02-28 DOI: 10.13005/ojcst14.010203.01
Tan Xin Hui Nicole, H. Nisar, Sim Kar Wei
In the medical field computer-aided diagnosis systems (CADs) are an active area of research as CADs serve to aid medical professionals in simplifying the diagnosis of a patients condition. In this paper we propose a machine learning based method for classifying lumbar disc herniation. The automation of herniated disc diagnosis decreases the enormous weight on radiologists who need to analyse several cases every day manually. Automation will also help to decrease inter and intra rater variability. Hence his work focuses on the classification of lumber disc herniation based on sagittal view Magnetic Resonance Images (MRIs). The dataset used in this work comprises of 32 images from 32 patients of which 10 patients are healthy while 22 of them have herniated discs. This data is processed through various image processing techniques to obtain three sets of features: the binary image; shape, height and width measurements of discs; and full attribute images. The proposed approach consists of four stages: region extraction, image segmentation, feature extraction and classification. The classification process is performed through support vector machines (SVMs) and K-nearest neighbor (KNNs) of which the KNN with k=5 produced the best results with 78.6% accuracy, F1 score of 66.7%, precision and recall rate of 60% and 75% respectively.
在医学领域,计算机辅助诊断系统(CADs)是一个活跃的研究领域,因为CADs可以帮助医学专业人员简化对患者病情的诊断。本文提出一种基于机器学习的腰椎间盘突出症分类方法。椎间盘突出诊断的自动化减轻了放射科医生每天需要手工分析几个病例的巨大负担。自动化也将有助于减少内部和内部的可变性。因此,他的工作重点是基于矢状面磁共振图像(mri)的腰椎间盘突出症分类。本研究使用的数据集包括来自32名患者的32张图像,其中10名患者健康,22名患者有椎间盘突出。该数据通过各种图像处理技术进行处理,得到三组特征:二值图像;圆盘的形状、高度和宽度测量;以及完整的属性图像。该方法包括四个阶段:区域提取、图像分割、特征提取和分类。通过支持向量机(svm)和k -最近邻(KNN)进行分类,其中k=5的KNN的分类结果最好,准确率为78.6%,F1得分为66.7%,准确率为60%,召回率为75%。
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引用次数: 1
Virtual Machine Migration in Cloud Computing 云计算中的虚拟机迁移
Pub Date : 2022-02-28 DOI: 10.13005/ojcst14.010203.06
Waqas Hasan
Cloud computing provides multiple services to users through the internet and these services include cloud storage, applications, servers, security and large network access. Virtual Machine allows the user to emulate multiple operating systems on a single computer; with the help of virtual machine migration users can transfer operating system instances from one computer to multiple computer machines. In this paper we will be discussing VM migration in cloud and also I will explain the whole procedure of VM migration. The two methods through which we can perform VM migration are Live VM migration and NON-live VM migration.VM migration also helps in managing the loads of the multiple machines and with VM we can save power consumption. People have written about cloud computing and virtual machines in previous studies, but in this research, we'll speak about virtual machine migration in cloud computing, as well as the techniques that are used in the VM migration process. I have used table to show the differences between VM migration techniques.
云计算通过互联网为用户提供多种服务,这些服务包括云存储、应用程序、服务器、安全和大型网络接入。虚拟机允许用户在一台计算机上模拟多个操作系统;在虚拟机迁移的帮助下,用户可以将操作系统实例从一台计算机转移到多台计算机。本文将讨论云中的虚拟机迁移,并解释虚拟机迁移的整个过程。虚拟机迁移有两种方式:Live VM迁移和NON-live VM迁移。VM迁移还有助于管理多台机器的负载,并且使用VM可以节省功耗。在以前的研究中,人们已经写过关于云计算和虚拟机的文章,但在本研究中,我们将讨论云计算中的虚拟机迁移,以及在VM迁移过程中使用的技术。我使用表格来显示VM迁移技术之间的差异。
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引用次数: 0
A Novel Protocol for Data Transmission Between Device-ToDevice Communications In Ieee 802.11 Standards Ieee 802.11标准中设备间数据传输的新协议
Pub Date : 2022-02-28 DOI: 10.13005/ojcst14.010203.02
Itfaq Ahmad Mir, Anwaar Ahmad Wani
Designed for multiple device-to-device clusters (D2DC) multicast communications is proposed in this research which is an efficient resource allocation scheme. To maximize the sum effective throughput the transmit power and the channel are apportioned to D2DC. Given that the nature of administration is rationed for cellular communications at a specific degree. Our examination details a channel assignment conspire utilizing fractional data of gadget areas. For this situation, we acquire the disturbance likelihood and viable throughput of D2DC communications incomparative outline. This process is carried by increasing the cluster size, code words and subcarriers. we proposed the algorithm here is a sensible channel allocation (CA) conspire utilizing partial information of device locations (CA-PIL). Consequently planned methodology can naturally lessen the measure of required framework overhead contrasted and the Channel Allocation (CA) conspire utilizing full information of device locations (CA-FIL).The forthcoming CA-PIL strategy accomplishes the close ideal aggregate Effective Throughput got by CA-FIL when an enormous number of D2D devices work in the clusters.
本研究提出了一种针对多设备对设备集群(D2DC)的组播通信方案,这是一种高效的资源分配方案。为了使有效吞吐量的总和最大化,将发送功率和信道分配给D2DC。鉴于给药的性质是在特定程度上配给蜂窝通信。我们的研究详细介绍了利用小工具区域的分数数据的信道分配合谋。在这种情况下,我们得到了D2DC通信的干扰可能性和可行吞吐量的比较概要。这一过程是通过增加簇大小、码字和子载波来实现的。本文提出的算法是一种利用设备位置部分信息(CA- pil)的合理信道分配算法。因此,计划的方法可以自然地减少所需框架开销的度量,而通道分配(CA)利用设备位置的完整信息(CA- fil)。即将推出的CA-PIL策略在集群中工作大量D2D设备时实现了CA-FIL所获得的接近理想的聚合有效吞吐量。
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引用次数: 0
Technical Aspects of Wireless Sensor Networks (WSNs) 无线传感器网络(WSNs)的技术方面
Pub Date : 2021-01-30 DOI: 10.13005/ojcst13.0203.10
Suneela Kallakunta, A. Sreenivas
Wireless sensor networks (WSNs) are a new kind of wireless networks that are becoming very popular with a large number of civilian and military applications. A wireless sensor network (WSN) is a wireless network that contains distributed independent sensor devices that are meant to monitor physical or environmental conditions. AWireless Sensor Network consists of a set of connected tiny sensor nodes, which communicate with each other we can also interchange information and data. These nodes obtain information on the environment such as temperature, pressure, or humidity and this information is stored in a base station. The latter sends the info to a wired network or activates an alarm or an action, depending on the type of data being monitored.
无线传感器网络(WSNs)是一种新型的无线网络,在民用和军用领域有着广泛的应用。无线传感器网络(WSN)是一种包含分布式独立传感器设备的无线网络,用于监测物理或环境条件。无线传感器网络由一组相互连接的微小传感器节点组成,这些节点之间相互通信,也可以交换信息和数据。这些节点获取环境信息,如温度、压力或湿度,并将这些信息存储在基站中。后者将信息发送到有线网络或激活警报或动作,这取决于被监视的数据类型。
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引用次数: 0
Data Preprocessing: The Techniques for Preparing Clean and Quality Data for Data Analytics Process 数据预处理:为数据分析过程准备干净和高质量数据的技术
Pub Date : 2021-01-30 DOI: 10.13005/ojcst13.0203.03
Ashish P. Joshi, B. Patel
The model and pattern for real time data mining have an important role for decision making. The meaningful real time data mining is basically depends on the quality of data while row or rough data available at warehouse. The data available at warehouse can be in any format, it may huge or it may unstructured. These kinds of data require some process to enhance the efficiency of data analysis. The process to make it ready to use is called data preprocessing. There can be many activities for data preprocessing such as data transformation, data cleaning, data integration, data optimization and data conversion which are use to converting the rough data to quality data. The data preprocessing techniques are the vital step for the data mining. The analyzed result will be good as far as data quality is good. This paper is about the different data preprocessing techniques which can be use for preparing the quality data for the data analysis for the available rough data.
实时数据挖掘的模型和模式对决策具有重要作用。有意义的实时数据挖掘基本上取决于数据的质量,而行数据或粗数据在仓库中可用。仓库中可用的数据可以是任何格式,它可能是巨大的,也可能是非结构化的。这些类型的数据需要一些流程来提高数据分析的效率。使数据准备好使用的过程称为数据预处理。数据预处理包括数据转换、数据清洗、数据集成、数据优化和数据转换等多种活动,用于将粗糙数据转换为高质量数据。数据预处理技术是数据挖掘的关键环节。只要数据质量好,分析结果就是好的。本文介绍了不同的数据预处理技术,这些技术可用于为现有的粗糙数据分析准备高质量的数据。
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引用次数: 8
Human Activity Recognition System 人体活动识别系统
Pub Date : 2021-01-30 DOI: 10.13005/ojcst13.0203.05
P. Bhambri, Harpreet Kaur, Akarshit Gupta, Jaskaran Singh
Modern human activity recognAition systems are mainly trained and used upon video stream and images data that understand the features and actions variations in the data having similar or related movements. Human Activity Recognition plays a significant role in human-to-human and human-computer interaction. Manually driven system are highly time consuming and costlier. In this project, we aim at designing a cost-effective and faster Human Activity Recognition System which can process both video and image in order to recognize the activity being performed in it, thereby aiding the end user in various applications like surveillance, aiding purpose etc. This system will not only be cost effective but also as a utility-based system that can be incorporated in a large number of applications that will save time and aid in various activities that require recognition process, and save a lot of time with good accuracy Also, it will aid the blind people in availing the knowledge of their surroundings.
现代人类活动识别系统主要训练和使用视频流和图像数据,以了解具有相似或相关动作的数据中的特征和动作变化。人类活动识别在人与人、人机交互中起着重要的作用。人工驱动系统耗时长,成本高。在这个项目中,我们的目标是设计一个具有成本效益和更快的人体活动识别系统,该系统可以处理视频和图像,以识别其中正在进行的活动,从而帮助最终用户在各种应用中,如监控,辅助用途等。该系统不仅具有成本效益,而且作为一个基于实用的系统,可以纳入大量的应用程序,这将节省时间和帮助各种需要识别过程的活动,并节省大量的时间和良好的准确性,它将帮助盲人利用他们周围的知识。
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引用次数: 1
Cloud Powered Plant Image Warehouse 云动力工厂图像仓库
Pub Date : 2020-05-30 DOI: 10.13005/ojcst13.01.04
V.V. Sumanth Kumar, Y. Praneetha, B. Padmaja, Lakshmana Murthy G
Cloud powered plant image warehouse serves as an instrumental solution for various scientific and academic personnel involved in research, education and extension at NARES (National Agricultural Research and Education System), through providing a common image dataset that complements for efficient and more productive activities by saving them time, space, hassle and financial resources. This web based image repository enables the entire scientific community to access the freely available resources contributed by the fellow researchers who worked on common areas of interest, besides facilitating to acknowledge the one who originally contributed. This also enables them to have better control and use of meta data with tagging and custom theme usage. The Plant image warehouse has been developed by using XAMPP an open source platform, which works on the Cent OS, using Apache Web server and MySQL a relational web based data management system and PHP, the object oriented scripting language. The third party software used in developing this image warehousing database is ZenPHOTO, a configurable software system wherein the users are able to upload, search and share the images. The graphical user interface is restricted to static webpages where, upon request from the user, server sends the response unchanged, unless modified by the uploader. This potential plant image warehousing technique will outstand as an authentic and reliable source of plant image database to the entire working community at NARES (National Agricultural Research and Education System). CONTACT V.V. Sumanth Kumar sumanth@naarm.org.in ICAR, NAARM Rd, Acharya Ng Ranga Agricultural University, Rajendranagar mandal, Hyderabad, Telangana, India. © 2020 The Author(s). Published by Oriental Scientific Publishing Company This is an Open Access article licensed under a Creative Commons license: Attribution 4.0 International (CC-BY). Doi: 10.13005/ojcst13.01.04 Article History Received: 20 April 2020 Accepted: 5 May 2020
云驱动的植物图像仓库为NARES(国家农业研究和教育系统)参与研究、教育和推广的各种科学和学术人员提供了一个工具解决方案,通过提供一个通用的图像数据集,通过节省他们的时间、空间、麻烦和财务资源来补充高效和更富有成效的活动。这个基于web的图像库使整个科学界能够访问由在共同感兴趣的领域工作的研究人员提供的免费资源,除了方便地承认最初做出贡献的人。这也使他们能够更好地控制和使用元数据的标签和自定义主题的使用。植物图像仓库是在开源平台XAMPP的基础上开发的,该平台运行在Cent操作系统上,使用Apache Web服务器和MySQL(基于关系Web的数据管理系统)以及PHP(面向对象的脚本语言)。在开发这个图像仓库数据库时使用的第三方软件是ZenPHOTO,这是一个可配置的软件系统,用户可以上传、搜索和共享图像。图形用户界面仅限于静态网页,在静态网页中,根据用户的请求,服务器不加修改地发送响应,除非上传者修改。这种潜在的植物图像仓库技术将成为NARES(国家农业研究与教育系统)整个工作社区的真实可靠的植物图像数据库来源。联系V.V. Sumanth Kumar sumanth@naarm.org.in ICAR, NAARM Rd, Acharya Ng Ranga农业大学,Rajendranagar mandal,海得拉巴,泰伦加纳,印度。©2020作者。这是一篇基于知识共享许可协议的开放获取文章:Attribution 4.0 International (CC-BY)。收稿日期:2020年4月20日收稿日期:2020年5月5日
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引用次数: 0
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Oriental journal of computer science and technology
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