Wasteful Consumption of Bread: Its Levels, Sources, and Possible Solutions. (A Case Study of Jordan)

On the basis of a study of 1644 Jordanian consumers’, this study addresses the topic of the governmental bread subsidy policy in addition to the waste in the Jordanian’s bread consumption. The findings of this study identified a large percentage of waste in bread consumption. Additionally, this study identified the financial repercussions due to this waste in consumption and the subsidy policy. This research is one of the first to empirically study the topic of waste in bread consumption in Jordan and in the world. Keywords: Social Responsibility, Waste, Bread, Prices, Subsid

Role of the Internet in Narrowing the Digital Divide between the Members of the Jordanian Society during the Coronavirus Crisis

The goal of this research was to see how the internet helped to bridge the digital divide between Jordanians during the Coronavirus outbreak. A quantitative approach is adopted. 210 questionnaire forms were distributed randomly to the members of the sample through using: (https://docs.google.com). They were distributed using email and WhatsApp. 200 forms were analyzed. They represent 95% of the distributed forms. The questionnaire consists of 20 statements. It was found that there is a digital divide between the members of Jordanian society. It was found that the availability of smart devices and the internet enables the members of Jordanian society to overcome this divide. Such availability enables the members of the Jordanian society to acquire knowledge, including knowledge about the Coronavirus. The current study was carried out during the Coronavirus outbreak. As a result, it will play an important role in closing the digital divide between members of Arab societies in general and Jordanians in particular. It will play an important role in encouraging Jordanians to work together with policymakers to enhance the country\u27s IT infrastructure. The present study adopts a simple methodology for measuring the digital divide between the members of the Jordanian society during the Coronavirus crisis. Narrowing this divide is needed in the light of having many sectors not operating. The present study is the first study in the world that aimed to measure the impact of the Coronavirus crisis on the digital divide. The researcher aimed to explore that, because of the Coronavirus crisis-affected internet users in Jorda

Measuring the Use of Digital Information Sources During COVID19 in the Libraries of Private Jordanian Universities

The study aims to measure the use of digital resources among the users of private universities in Jordan and knowing the opinions of the users and the adequacy of the available digital resources during COVID19. A regular random sample of (500) users was selected to measure their awareness and understanding of using the digital resources. The data collected was analyzed, classified and categorized. Various statistical methods were employed to display the graphs and through the use of the SPSS software package. The results indicated that (70%) of the users are aware of the internet environment and take it as a means to make digital information sources available, and that more than (50%) are actually using them, while (64%) have the knowledge of the International databases. (Emerald, Science Direct, IEEE), and more than half of them actually benefit from their academic environment, whereas more than (80%) of all users indicated that the available information sources are sufficient to meet their scientific and academic needs. The most important results indicated that the users have less used the databases available on the local network

Chapter 21 Artificial intelligence and data analytics for geosciences and remote sensing theory and application

To address the limitation of conventional statistics in dealing with hyperspectral data of satellite and airborne images, two contextual analyses are introduced in this chapter. The first case study presents the development of an artificial intelligence (AI) and data analytics algorithm capable of classifying hyperspectral data to support remote sensing and geographic information systems researchers in understanding and predicting changes in natural earth processes. The classification algorithm is based on a fuzzy approach combining a decision tree classifier with a fuzzy multiple-criteria decision analysis classifier. The second case study presents the development of an AI tool that extracts features from the hyperspectral data to transform a two-dimensional (2D) satellite and airborne picture to a pseudo-3D picture to improve complexity and produce multidirectional sun-shaded pictures and their edges. Such 3D images are useful in supporting the discovery of prospective ground for mineral exploration, extraction from the earth of precious minerals or other geological materials, usually from deposits of ore, veins, lodes, seams, reefs, or placer deposits, and overall to improve the efficiency and effectiveness of mineral exploration

Novel Approach for Intrusion Detection Using Simulated Annealing Algorithm Combined with Hopfield Neural Network

With the continued increase in Internet usage, the risk of encountering online threats remains high. This study proposes a new approach for intrusion detection to produce better outcomes than similar approaches with high accuracy rates. The proposed approach uses Simulated Annealing algorithms [1] combined with Hopfield Neural network [2] for supervised learning to improve performance by increasing the correctness of true detection and reducing the error rates as a result of false detection. The proposed approach is evaluated on an intrusion detection data set called KDD99[3]. Experimental tests demonstrate the potential of the proposed approach to rapidly detect high precision and efficiency intrusion behaviors. The proposed approach offers a 99.16% accuracy rate and a 0.3% false-positive rate.Department of Information Technology

Real Time Estimation, Quantization, And Remote Control Of Permanent Magnet Dc Motors

Establishing real-time models for electric motors is of importance for capturing authentic dynamic behavior of the motors to improve control performance, enhance robustness, and support diagnosis. Quantized sensors are less expensive and remote controlled motors mandate signal quantization. Such limitations on observations introduce challenging issues in motor parameter estimation. This dissertation develops estimators for model parameters of permanent magnet direct current motors (PMDC) using quantized speed measurements. A typical linearized model structure of PMDC motors is used as a benchmark platform to demonstrate the technology, its key properties, and benefits. Convergence properties are established. Simulations and experimental studies are performed to illustrate potential applications of the technology. Remotely-controlled Permanent Magnet DC (PMDC) motors must transmit speed measurements and receive control commands via communication channels. Sampling, quantization, data transfer, and signal reconstruction are mandatory in such networked systems, and introduce additional dynamic subsystems that substantially affect feedback stability and performance. The intimate interaction among sampling periods, signal estimation step sizes, and feedback dynamics entails careful design considerations in such systems. This dissertation investigates the impact of these factors on PMDC motor performance, by rigorous analysis, simulation case studies, and design trade-off examination. The findings of this dissertation will be of importance in providing design guidelines for networked mobile systems, such as autonomous vehicles, mobile sensors, unmanned aerial vehicles which often use electric motors as main engines

Investigating the Role of Public Libraries in Reducing Digital Divide in Jordan: Using Computer and Internet

The purpose of this paper is to investigate the role of the public library in reducing the gap between digital divide and developing the Jordanian community. A quantitative research method has been employed. 110 questionnaires has been distributed randomly to respondents at two campuses of public libraries. Some questionnaires have been distributed at one of the branches of the library. Most respondents has complied to the request for immediate completion and return of the questionnaire. (90 %) of the questionnaire forms, which equate 100 forms, have been completed and returned. Findings indicate the existence of a digital divide, but also suggested that the availability of computers and Internet have assisted the community to overcome the substantial information divide and develop its culture. The paper has used a quantitative method and SPSS analysis for measuring digital divide and its effects on the users of public libraries in Jordan. Keywords: Digital divide, Public libraries, Computer, Internet, Jordan

Using the Kano Model and the Quality of the Publishing Function in Evaluating Jordan's Academic Digital Libraries: A Case Study of the University of Jordan

This study is based on the evaluation of digital libraries of government universities in Jordan and it followed the descriptive and analytical approach based on the Kano model in assessing the requirements for the integration of digital libraries, which is called the "Home Model". The University of Jordan library was used as a case study and then circulated to other public universities for optimal use of digital libraries. A combination of two global models was used to set the Quality Function Deployment criteria. The Kano model as a useful tool for evaluating the quality of services provided by institutions without any consideration for their type. Data was collected to feed the quality of the publishing job-Kanoo model through a questionnaire that was distributed to a sample of users at the University of Jordan to assess the extent to which the services required from the digital libraries were achieved. Because this type of studies relies on listening to the voice of the user (Voice of User), which is the main goal and goal in providing services by institutions, especially libraries, and through this, valuable and relevant information on issues that should be improved In order to increase the users' satisfaction and complementarity in meeting their needs. DOI: 10.7176/IKM/10-4-01 Publication date:May 31st 202

Design of a multi-sensor platform for integrating extracellular acidification rate with multi-metabolite flux measurement for small biological samples

2019 Spring.Includes bibliographical references.To view the abstract, please see the full text of the document