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Inhibited Antibiotic-Resistant and Electrochemical Treatment of Pharmaceutical Wastewater 抑制耐药及电化学处理制药废水
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3479-3.ch093
I. Oke, Fehintola Ezekiel Oluwaseun, J. Amoko, S. Lukman, A. Adedayo
The main aim of this chapter is to conduct a simple literature review on treatment wastewaters from pharmaceutical and related industries and establish efficacies of electrochemical treatment technique in removing selected pollutants form raw wastewater. Synthetic (simulated) wastewaters were prepared using standard methods. Fractional factorial (2K - P -1) experiments were utilized at random to determine influence of selected factors (separation distance between the electrodes, volume of the wastewater used, applied current, temperature of the wastewater, treatment time, concentration of the pollutant, concentration calcium of hypochrite (Ca(OCl)2) added and depth of the electrode into the wastewater used) on efficiency of electrochemical process in removing Biochemical Oxygen Demand concentration at five (BOD5). Industrial wastewaters were collected from industrial sources within the country (Nigeria). The industrial wastewaters collected were subjected to electrochemical treatment and chemical treatments individually and in combinations under specified treatment conditions.
本章的主要目的是对制药及相关行业的废水处理进行简单的文献综述,并建立电化学处理技术在去除原废水中选定污染物方面的效果。采用标准方法制备合成(模拟)废水。随机采用分数析因(2K - P -1)实验,确定所选因素(电极之间的分离距离、使用废水的体积、施加电流、废水温度、处理时间、污染物浓度、次氯酸钙(Ca(OCl)2)的添加浓度和电极进入使用废水的深度)对电化学过程去除生化需氧量浓度为5 (BOD5)的效率的影响。从国内的工业来源收集工业废水(尼日利亚)。收集的工业废水在规定的处理条件下分别进行电化学处理和化学处理。
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引用次数: 2
Overview of Solid Waste Management of Healthcare and Related Organisations 医疗及相关机构固体废物管理概述
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3479-3.ch091
I. Oke, Lukman Salihu, I. Mohammed, Asani M. Afolabi
This chapter provides information on the quantities and properties of healthcare wastes in various types of facilities located in developing countries, as well as in some industrialized countries. Most of the information has been obtained from the literature, while some information has been collected by the authors and from reports available to the authors. The range of hospital waste generation varies from 0.016 to 3.23 kg/bed-day. The relatively wide variation is due to the fact that some of the facilities surveyed may include out-patient services and district health clinics; these facilities essentially provide basic services and thus the quantities of waste generated are relatively small. On the other hand, the reported amount of infectious waste varied from 0.01 to 0.65 kg/bed-day. The characteristics of the components of healthcare wastes, such as the bulk density and the calorific value, have substantial variability. It was concluded that the world has made only slow progress in proper medical in past decades, with dramatic differences among countries and regions.
本章提供了关于发展中国家以及一些工业化国家各类设施中医疗废物的数量和性质的信息。大部分信息是从文献中获得的,而一些信息是由作者收集的,也有一些是作者可以从报告中获得的。医院废物产生的范围为0.016至3.23公斤/床日。差异比较大的原因是,一些接受调查的设施可能包括门诊服务和地区保健诊所;这些设施基本上提供基本服务,因此产生的废物数量相对较少。另一方面,报告的传染性废物数量从0.01至0.65公斤/床日不等。医疗废物成分的特性,如体积密度和热值,具有很大的可变性。结论是,过去几十年来,世界在适当医疗方面只取得了缓慢的进展,各国和各区域之间存在巨大差异。
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引用次数: 0
N-Clustering of Text Documents Using Graph Mining Techniques 基于图挖掘技术的文本文档n聚类
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3479-3.ch057
B. Rao
The chapter is about the clustering of text documents based on the input of the n-number of words on the m-number of text documents using graph mining techniques. The author has proposed an algorithm for clustering of text documents by inputting n-number of words on m-number of text documents. First of all the proposed algorithm starts the selection of documents with extension name “.txt” from m-numbers of documents having various types of extension names. The n-number of words are input on the selected “.txt” documents, the algorithm starts n-clustering of text documents based on an n-input word. This is possible by way of creation of a document-word frequency matrix in the memory. Then the frequency-word table is converted into the un-oriented document-word incidence matrix by replacing all non-zeros with 1s. Using the un-oriented document-word incidence matrix, the algorithm starts the creation of n-number of clusters of text documents having the presence of words ranging from 1 to n respectively. Finally, these n-clusters based on word-wise as well as 1 to n word-wise.
本章是关于使用图挖掘技术基于m个文本文档上n个单词的输入对文本文档进行聚类。作者提出了一种通过在m个文本文档上输入n个单词对文本文档进行聚类的算法。首先,该算法从m个具有不同类型扩展名的文档中选择扩展名为“。txt”的文档。在选择的“。txt”文档上输入n个单词,算法基于n个输入单词开始对文本文档进行n次聚类。这可以通过在内存中创建文档-单词频率矩阵来实现。然后将频率词表转换为无导向的文档词关联矩阵,方法是将所有非零替换为1。使用无导向的文档-单词关联矩阵,该算法开始创建n个文本文档簇,这些文本文档的单词的存在范围分别为1到n。最后,这n个簇是基于单词的,也是基于1到n个单词的。
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引用次数: 1
Technology and the Theory of Apocalypse 科技与天启理论
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3479-3.ch112
M. Korstanje
This chapter ignites an interesting discussion around the idea of apocalypse or at the best to the role of technology by slicing humanity from nature. In terms of the British anthropologist Tim Ingold, one of the conceptual limitations of “dwelling perspective” as a project is the clear-cut division of humans from the natural environment. Unlike hunters and gatherers who have developed “relational” ties with the sensual world, we are educated to imagine ourselves as administrators of natural world. In view of this, the eco-friendly projects (as conservation parks) often exclude the presence of humans. The employment of technology denotes certain rationality which while sorting the environment according to our needs it creates a sentiment of culprit, which is expressed in the bottom-days´ narratives. Mankind, as outstanding specie, is the only one gifted by Gods to administer nature, but failed. Moved by greed and speculations, men governed with energy in backs to God and for that, they should be heavily punished.
这一章引发了一场有趣的讨论,围绕着天启的想法,或者充其量是通过将人类从自然中切割出来来讨论技术的作用。根据英国人类学家Tim Ingold的说法,“居住视角”作为一个项目的概念限制之一是人类与自然环境的明确划分。不像猎人和采集者与感官世界建立了“关系”,我们被教育要把自己想象成自然世界的管理者。鉴于此,环保项目(如保护公园)往往排除人类的存在。技术的使用意味着一定的合理性,在根据我们的需要对环境进行分类的同时,它创造了一种罪魁祸首的情绪,这种情绪在底部日子的叙述中表达出来。人类作为一个杰出的物种,是上帝赋予的唯一一个管理自然的物种,但却失败了。在贪婪和投机的驱使下,人们用背对上帝的力量进行统治,因此,他们应该受到严厉的惩罚。
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引用次数: 2
The Role of DPPs in Promoting Local Government-Citizen Collaboration and Participation dpp在促进地方政府与公民合作与参与中的作用
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3479-3.ch108
Khaled Tamzini, Ynes Hafi, Achref Ben Ouannes, Roula Borhani
The aim of this chapter is to present the implementation of a pilot digital participatory platform (DPP) called “Baladiaty” in order to foster local government-citizens collaboration and participation in Tunisia. “Baladiaty” means in the Arabic language “My municipality”. “Baladiaty” is a DPP designed, developed, and commercialized by ARSELA in 2019, a Tunisian start-up located in the governorate of Sousse. This paper contains two main parts. The first is considered a theoretical part. The authors will focus on the two main terms and concepts of this research, namely: digital democracy and DPP. This first part will focus on the definition of the digital participatory platform (DPP), and its role in promoting participatory democracy, citizen engagement and their ubiquitous engagement throughout the open government concept. The second part would be considered as a case study presenting a recently designed pilot DPP “Baladiaty” in Tunisia. This paper could be considered theoretical by focusing on the presentation of a pilot DPP in Tunisia, a nascent democracy.
本章的目的是介绍名为“Baladiaty”的试点数字参与平台(DPP)的实施情况,以促进突尼斯地方政府与公民的合作与参与。“巴拉迪亚蒂”在阿拉伯语中的意思是“我的城市”。“Baladiaty”是由位于苏塞省的突尼斯初创企业ARSELA于2019年设计、开发并商业化的DPP。本文主要包括两个部分。第一部分被认为是理论部分。第一部分将重点介绍数字参与式平台(DPP)的定义,以及它在促进参与式民主、公民参与和他们在开放政府概念中无处不在的参与方面的作用。
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引用次数: 0
A Collaborative Ranking Approach for Discovery and Selection of Cloud Services 一种用于发现和选择云服务的协作排序方法
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3479-3.ch015
M. Rathore, U. Suman
Cloud computing is getting more popular due to its extraordinary features such as on-demand availability of computing resources and software services. A variety of services have been deployed to offer analogous functionalities. However, the difficulty to identify reliable services has fascinated the attention of researchers. Thus, the trust and reputation concept have been introduced to evaluate the trustworthiness of services over cloud. Most of the existing research works fully trust on service user's feedback rating for ranking cloud services, which may often lead to biasness towards positive and negative feedback rating. To avoid aforementioned issues, this chapter proposes a novel approach to evaluate cloud service reputation along with cloud service reputation evaluation model to discover reliable cloud services. Experimental result shows that proposed approach provides effective solution for prediction of cloud service reputation, which can be helpful in performing reliable service discovery and selection over cloud.
云计算由于其非凡的特性,如计算资源和软件服务的按需可用性,正变得越来越受欢迎。已经部署了各种服务来提供类似的功能。然而,识别可靠服务的困难引起了研究人员的注意。因此,引入了信任和声誉的概念来评估云上服务的可信度。现有的研究工作大多完全依赖于服务用户的反馈评价来对云服务进行排名,这往往会导致对正反馈和负反馈评价的偏向。为了避免上述问题,本章提出了一种新的云服务声誉评估方法以及云服务声誉评估模型,以发现可靠的云服务。实验结果表明,该方法为云服务信誉预测提供了有效的解决方案,有助于在云上进行可靠的服务发现和选择。
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引用次数: 0
Gendering Information and Communication Technologies in Climate Change 气候变化中的性别信息和通信技术
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3479-3.ch096
Sam Wong
Information and communication technologies (ICTs) have long been seen as a solution to problems associated with climate change. Their effectiveness has, however, been questioned for not taking gender seriously. This paper tries to explain why, and how, women are more constrained than men from using ICTs in tackling climate change. Women have less access to technology information and finance and suffer greater deprivation in terms of land rights. Intersected with the analysis of class, this chapter also examines why poor, working class households are less represented in decision-making in policy design and resource allocations. To address the gender inequalities, this paper calls for a need to contextualise the process of gender mainstreaming and to scrutinise the interplay between old and new institutions in gender inclusion. Apart from advocating gender-sensitive funding mechanisms for needy women, and men, it also suggests a deeper understanding of the agency-structure dynamics and the gender-class interactions in tackling digital exclusion.
长期以来,信息和通信技术(ict)一直被视为解决气候变化相关问题的办法。然而,由于没有认真对待性别问题,它们的有效性受到了质疑。本文试图解释女性在利用信息通信技术应对气候变化方面为何以及如何受到比男性更大的限制。妇女获得技术、信息和资金的机会较少,在土地权方面遭受更大的剥夺。与阶级分析相交叉,本章还探讨了为什么贫穷的工人阶级家庭在政策设计和资源分配的决策中代表性较低。为了解决性别不平等问题,本文呼吁有必要将性别主流化进程置于背景下,并仔细审查新旧机构在性别包容方面的相互作用。除了倡导为有需要的女性和男性提供性别敏感的融资机制外,它还建议在解决数字排斥问题时更深入地了解机构-结构动态和性别-阶级互动。
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引用次数: 1
A Survey of Tasks Scheduling Algorithms in Distributed Computing Systems 分布式计算系统中任务调度算法综述
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3479-3.ch018
N. Chauhan, H. Kumar
Distributed computing system (DCS) is a very popular field of computer science. DCS consists of various computers (processors) located at possibly different sites and connected by a communication link in such a manner that it appears as one system to the user. Tasks scheduling is a very interesting field of research in DCS. The main objectives of tasks scheduling problems are load balancing of processors, maximization of system reliability, minimizing the system cost, and minimizing the response time. Obviously, it is very complicated to satisfy all of the above objectives simultaneously. So, most of the researchers have solved the tasks scheduling problem with one or more objectives. The purpose of this chapter is to produce an overview of much (certainly not all) of tasks scheduling algorithms. The chapter is covering the little much valuable survey, tasks scheduling strategies, and different approaches used for tasks scheduling with one or more objectives.
分布式计算系统(DCS)是计算机科学的一个非常流行的领域。DCS由可能位于不同地点的各种计算机(处理器)组成,并通过通信链路连接起来,使其在用户看来是一个系统。任务调度是DCS中一个非常有趣的研究领域。任务调度问题的主要目标是处理器的负载平衡、系统可靠性的最大化、系统成本的最小化和响应时间的最小化。显然,同时满足上述所有目标是非常复杂的。因此,大多数研究者都解决了带有一个或多个目标的任务调度问题。本章的目的是对大部分(当然不是全部)任务调度算法进行概述。本章涵盖了一些有价值的调查,任务调度策略,以及用于具有一个或多个目标的任务调度的不同方法。
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引用次数: 0
Digital Documents 数字文件
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3479-3.ch077
A. Dimou, A. Syropoulos
Digital documents tend to replace printed documents in many ways. For publishers it is cheaper to produce them and readers can get them instantly. However, the spectrum of “printed” material is quite big and so there is no way to have one kind of digital document that can satisfy all those involved in the publishing business (e.g., authors, readers, publishers, etc.). Digital document appeared in the 1960s and ever since they evolve. Sometimes this evolution process is slow and sometimes it's rapid, but the fact is that today there a plethora of digital document forms that can be used for many and different tasks and most of them are briefly documented here.
数字文档在很多方面都趋向于取代打印文档。对于出版商来说,制作它们的成本更低,读者也可以立即得到它们。然而,“印刷”材料的范围相当大,因此没有一种数字文档可以满足所有涉及出版业务的人(例如,作者,读者,出版商等)。数字文档出现于20世纪60年代,此后不断发展。这种演变过程有时缓慢,有时迅速,但事实是,今天有大量的数字文档形式,可以用于许多不同的任务,其中大多数都简要地记录在这里。
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引用次数: 0
Convolutional Neural Network 卷积神经网络
Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3479-3.ch002
M. Véstias
Machine learning is the study of algorithms and models for computing systems to do tasks based on pattern identification and inference. When it is difficult or infeasible to develop an algorithm to do a particular task, machine learning algorithms can provide an output based on previous training data. A well-known machine learning model is deep learning. The most recent deep learning models are based on artificial neural networks (ANN). There exist several types of artificial neural networks including the feedforward neural network, the Kohonen self-organizing neural network, the recurrent neural network, the convolutional neural network, the modular neural network, among others. This article focuses on convolutional neural networks with a description of the model, the training and inference processes and its applicability. It will also give an overview of the most used CNN models and what to expect from the next generation of CNN models.
机器学习是研究计算系统在模式识别和推理的基础上完成任务的算法和模型。当开发一种算法来完成特定任务是困难的或不可行的时候,机器学习算法可以根据以前的训练数据提供输出。一个著名的机器学习模型是深度学习。最新的深度学习模型是基于人工神经网络(ANN)的。人工神经网络有几种类型,包括前馈神经网络、Kohonen自组织神经网络、循环神经网络、卷积神经网络、模块化神经网络等。本文重点介绍了卷积神经网络的模型、训练和推理过程及其适用性。它还将概述最常用的CNN模型,以及对下一代CNN模型的期望。
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引用次数: 4
期刊
Encyclopedia of Information Science and Technology, Fifth Edition
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