An Intelligent Mobility Prediction Scheme for Location-Based Service over Cellular Communications Network

One of the trickiest challenges introduced by cellular communications networks is mobility prediction for Location Based-Services (LBSs). Hence, an accurate and efficient mobility prediction technique is particularly needed for these networks. The mobility prediction technique incurs overheads on the transmission process. These overheads affect properties of the cellular communications network such as delay, denial of services, manual filtering and bandwidth. The main goal of this research is to enhance a mobility prediction scheme in cellular communications networks through three phases. Firstly, current mobility prediction techniques will be investigated. Secondly, innovation and examination of new mobility prediction techniques will be based on three hypothesises that are suitable for cellular communications network and mobile user (MU) resources with low computation cost and high prediction success rate without using MU resources in the prediction process. Thirdly, a new mobility prediction scheme will be generated that is based on different levels of mobility prediction. In this thesis, a new mobility prediction scheme for LBSs is proposed. It could be considered as a combination of the cell and routing area (RA) prediction levels. For cell level prediction, most of the current location prediction research is focused on generalized location models, where the geographic extent is divided into regular-shape cells. These models are not suitable for certain LBSs where the objectives are to compute and present on-road services. Such techniques are the New Markov-Based Mobility Prediction (NMMP) and Prediction Location Model (PLM) that deal with inner cell structure and different levels of prediction, respectively. The NMMP and PLM techniques suffer from complex computation, accuracy rate regression and insufficient accuracy. In this thesis, Location Prediction based on a Sector Snapshot (LPSS) is introduced, which is based on a Novel Cell Splitting Algorithm (NCPA). This algorithm is implemented in a micro cell in parallel with the new prediction technique. The LPSS technique, compared with two classic prediction techniques and the experimental results, shows the effectiveness and robustness of the new splitting algorithm and prediction technique. In the cell side, the proposed approach reduces the complexity cost and prevents the cell level prediction technique from performing in time slots that are too close. For these reasons, the RA avoids cell-side problems. This research discusses a New Routing Area Displacement Prediction for Location-Based Services (NRADP) which is based on developed Ant Colony Optimization (ACO). The NRADP, compared with Mobility Prediction based on an Ant System (MPAS) and the experimental results, shows the effectiveness, higher prediction rate, reduced search stagnation ratio, and reduced computation cost of the new prediction technique

A study of development of the coastal zone of Aqaba, Jordan : a suggested model

This dissertation focuses on the need to implement integrated coastal management for sustainable development in the region of Aqaba /Jordan, while proposing methods for^ doing so. At the beginning, the integrated management process is studied in detail, highlighting its role in creating a steady sustainable relationship between resources and their users in general. Aqaba is explored as a case-in-point. The reader is introduced to the region geographically, physically, climatically and with an overview of the development, population, and environmental effects. The economic and social development of the region is examined in detail and the various administrative offices in the area are defined, along with an explanation of their responsibilities. The effects of the various development on the environment are discussed at length. Ways and means of improving situation are suggested. In order to facilitate the choice of a suitable strategy, the various proposed plans for development in the region, are explored. A model is suggested, and methods for making it prompt and cost effective are elaborated. At the end, the previous chapters are summarized as conclusions of the study. Recommendations for future actions of the management system in the region, are enumerated

Modelling and analysis of the control mechanisms of bacterial growth

This thesis concerns the control mechanisms of bacterial growth. Mathematical and experimental work has shown the control of bacterial growth behaves like a switch. It is known that the vitamin B12 riboswitch plays a role in this switching mechanism. These facts motivate considering variable structure control techniques to investigate the control mechanism and the robustness of the riboswitch. Whilst the existence and importance of switches are widely acknowledged within the biological literature, many life scientists do not deal explicitly with the switching behaviour. Frequently, steady-state behaviour before and after switching is the primary focus. The main objective of this thesis is to study the control mechanisms of the vitamin B12 riboswitch on bacterial growth at both a cellular and population level. The results using different bacterial strains show that changing the concentration of vitamin B12 affects growth until the saturation level is reached. The thesis then studies the control mechanism in algal and bacterial co-culture. A model has been developed using data from an in vivo experimental two-species system where the bacterium Mesorhizobium loti (M. loti) supplies the vitamin B12 required for growth to the freshwater green alga Lobomonas rostrata (L. rostrata) and where the action of the B12 riboswitch is known to be a determinant of system behaviour. The reachability analysis from sliding mode control is used to find the algal and bacterial saturation level and study the robustness of the system. Using the validated riboswitch model, an observer design method from the domain of control engineering is used to estimate the vitamin B12 transporter BtuB given measurements of the concentration of vitamin B12. Validation of the estimates of BtuB has been undertaken by comparing the relationship between the BtuB and vitamin B12 concentrations estimated from the observer with the relationship between green fluorescent protein production and the concentration of vitamin B12 obtained experimentally

A new splitting-based displacement prediction approach for location-based services

In location-based services (LBSs), the service is provided based on the users' locations through location determination and mobility realization. Several location prediction models have been proposed to enhance and increase the relevance of the information retrieved by users of mobile information systems, but none of them studied the relationship between accuracy rate of prediction and the performance of the model in terms of consuming resources and constraints of mobile devices. Most of the current location prediction research is focused on generalized location models, where the geographic extent is divided into regular-shape cells. These models are not suitable for certain LBSs where the objectives are to compute and present on-road services. One such technique is the Prediction Location Model (PLM), which deals with inner cell structure. The PLM technique suffers from memory usage and poor accuracy. The main goal of this paper is to propose a new path prediction technique for Location-Based Services. The new approach is competitive and more efficient compared to PLM regarding measurements such as accuracy rate of location prediction and memory usage

Islamic mathematics

The present doldrums position and state of decadence, internal differences, external aggression (geographical and ideological), lack of self-confidence and dependence, illiteracy, political instability, economic disaster, lack of knowledge and wisdom, back benchers in science and technology, education, medicine, trade and business, banking system and defensive incapability of Muslim World prompted me to look at our principal sources of inspiration, which are, the Qur’an, Sunnah of the Prophet (SAW), and examples of the “enlightened Caliphs” and see what is Islam’s view about seeking knowledge, technology and inventions in general and mathematics’ education in particular. We will discuss the nature of mathematics and its scientific status. We will highlight the position of mathematics in Islamic classification of knowledge. We will also discuss the current state of mathematics and future suggestions. We have gathered together some of these impressions; these are all tentative, nothing final about them, but these are here nonetheless

INFLUENCE OF CHEMICAL POLYMER ADDITIVE ON THE PHYSICAL AND MECHANICAL PROPERTIES OF EXPANDED POLYSTYRENE CONCRETE

This research investigated the effect of Renolith chemical polymer additive (RCPA) on the properties of expanded polystyrene (ESP) concrete. Renolith chemical additive is a polymer-based product in a liquid form made up of latex and cellulose. Polystyrene panels were collected as a waste materials and grinded into smaller beads. An experimental investigation was carried out on the EPS replacement ranging from 0% to 100% on the M30 (C25/C30) mix design. Engineering properties, such as workability, density, water absorption, compressive strength, split tensile strength, and flexural strength tests, were studied for both the conventional and EPS concrete. The results indicate that workability increases with increasing amount of EPS contents. Water absorption, compressive, tensile, and flexural strength yielded a satisfactory result at 0-50% replacement. The density of the EPS concrete at 0-37.5% replacement revealed similar values to a conventional concrete; and light-weight concrete (1817.5 - 1030 kg⁄m3) was achieved at a 50-100% replacement. Generally, the addition of the RCPA to the concrete mix has caused an improvement in the properties of the EPS concrete. It was concluded that EPS beads can be used as a partial replacement for coarse aggregates in the production of both structural light-weight and dense concrete. The replacement of coarse aggregate with EPS beads showed a positive application as an alternative material for the construction industry

Factors influencing the acceptance of smart homes in Jordan

Copyright © 2020 Inderscience Enterprises Ltd. Smart home services are one of the recent internet of things applications that aims to improve residents’ quality of life. This study aims to investigate the factors that influence residents’ acceptance and usage of smart home services in Jordan. Theoretically, this study extends the technology acceptance model. By following a quantitative method, responses were collected and statistically analysed from 258 household using the SEM-PLS approach. Results show that user awareness, trust, perceived enjoyment, personalisation, perceived usefulness and perceived ease of use significantly influence attitude towards smart home services which, with social influence, impact the intention to use

H2GS : a hybrid heuristic-genetic scheduling algorithm for static scheduling of tasks on heterogeneous processor networks

The majority of published static scheduling algorithms are only suited to homogeneous processor networks. Little effort has been put into developing scheduling algorithms specifically for heterogeneous processors networks. It is easy to prove, using counterexamples, that the best existing heterogeneous scheduling algorithms [1, 12] generate sub-optimal schedules. Hence, there is much room for the development of better scheduling algorithms for heterogeneous processor networks. This report presents and tests a novel hybrid scheduling algorithm (H2GS) that utilizes both deterministic and stochastic approaches to the problem of scheduling. H2GS is a two-phase algorithm. The first phase implements a heuristic algorithm (LDCP) that identifies one near-optimal schedule. This schedule is used, together with a small number of other schedules as the initial population of the second customized genetic algorithm (called GATS). The GATS algorithm proceeds to evolve even better schedules. The most important contributions of our research are: (i) the development of a new hybrid algorithm, which primes a customized genetic algorithm with a near-optimal schedule produced by a heuristic (LDCP); (ii) The hybrid algorithm succeeds in generating task schedules with completion times that are, on average, 6.2% shorter than those produced by the best existing scheduling algorithm, on the same set of test data

The Impact of Foreign Investment on Capital Formation in Jordan during (2000-2009): A Case Study on Industry, Service, Agriculture and Construction Sectors

This study aims at explaining the impact of foreign investment on capital formation in the private sectors of industry, services, agriculture and construction in Jordan during 2000-2009. To examine the hypotheses of the study, the present study resorted to four simple regression approaches. The study has revealed a positive relationship with statistical significance in between the Foreign Direct Investment (FDI) and the capital formation for the industrial sector, and between capital formations of the agriculture sector. This means that the foreign direct investment highly contributes to enhancing and reinforcing the economic activity and in supporting the economic development in Jordan. The study has also found that there is a positive relationship with statistical significance between foreign direct investment and capital formation of the construction sector, which means that foreign direct investment highly contributes to supporting the sector of estate and housing sector. This is attributed to the fact that it is a secure investment and it provides much more safety for the foreign investors. The study recommended taking care of the foreign investment, to explore new ways to generate new methods to enhance the capital formation in Jordan, to combat all the difficulties that challenge and hinder the national economy and provide a suitable environment that ensures the continuity of the foreign investment.Key Words: foreign investment, capital formation, industry, services, agriculture, constructions, Economic development

Al-Battani contributions in astronomy and mathematics

This chapter is talking about one of the famous and greatest Islamic astronomers and mathematicians around the world; AI-Battani has great and significant contributions in astronomy and mathematics. In astronomy, he has astronomical observations for more than forty years. In addition, he did some corrections upon Ptolemy's results and made some new tables of the Sun and the Moon. Moreover, he determined the length of solar year. In mathematics, he innovated new relationships in trigonometric, and created a table of cotangents, and made some formulas in spherical trigonometr