(Mobile Government) Mobile - Tourism Services Providers Guide System

One of the prevailing tendencies of the modern communication technology is tourism services providers guide system, the interaction of the government, tourism services providers and the citizens or the tourists wherever they go. The processes in a tourism service providers guide intends to improve the performance of specific tasks which may include define service providers (hotels, car rental, airlines, travel agency) supervised by one administrator. Furthermore, any service providers can login and edit for special profile information. This system will provide searching access for main information about tourism Services providers in the Jordan for any citizens or tourists anywhere, and at any time, quickly and easily, using mobile technology. Finally, the system is tested and the result confirms that the proposed system

Integrating Mobile Technology Quality Service, Trust and Cultural Factors Into Technology Acceptance of Mobile Learning: A Case of the Jordan Higher Education Institution

The success of mobile learning system in higher education depends a lot on the students‟ acceptance of the technology. From an early investigation, students at Jordanian higher educational institutions however are still unwilling to use mobile learning applications and services. The students‟ acceptance should be a key concern for the management of a university in considering the implementation of mobile learning system. The objective of this study is to identify the factors that influence the acceptance of mobile learning system based on the Technology Acceptance Model (TAM). A total of 500 questionnaires were distributed to five universities in Jordan, out of which 398 question-naires were returned, representing 79% response rate. Statistical techniques including bivariate correlation analyses, multiple linear and stepwise regression analyses, T-tests, and One-Way ANOVA were used. The results showed three core determinants: Culture, Trust, and Technology Service Quality as significantly influenced Perceived Usefulness and Perceived Ease of Use. Perceived Usefulness and Perceived Ease of Use moreover have significantly determined Attitude, while Perceived Usefulness and Attitude, have significantly determined users‟ Behavioral Intention. Among the five variables of culture, the study found Power Distance to be the most contributive variable, and Trust in University as the most contributive variable under the Trust factor. Meanwhile, the most contributive variable in Technology Service Quality factor is Accessibility. For the Demographic factors, the study proved that gender, mobile learning experience, and mobile internet experience have significantly influenced students‟ acceptance. Based on the results obtained, the study proposes a model of mobile learning acceptance based on TAM. A comprehensive understanding of this model will assist decision makers to enhance the acceptance of the mobile learning system among students in Jordanian higher educational institutions in the future

Multi-modal palm-print and hand-vein biometric recognition at sensor level fusion

When it is important to authenticate a person based on his or her biometric qualities, most systems use a single modality (e.g. fingerprint or palm print) for further analysis at higher levels. Rather than using higher levels, this research recommends using two biometric features at the sensor level. The Log-Gabor filter is used to extract features and, as a result, recognize the pattern, because the data acquired from images is sampled at various spacing. Using the two fused modalities, the suggested system attained greater accuracy. Principal component analysis (PCA) was performed to reduce the dimensionality of the data. To get the optimum performance between the two classifiers, fusion was performed at the sensor level utilizing different classifiers, including K-nearest neighbors (K-NN) and support vector machines (SVMs). The technology collects palm prints and veins from sensors and combines them into consolidated images that take up less disk space. The amount of memory needed to store such photos has been lowered. The amount of memory is determined by the number of modalities fused

Smart job searching system based on information retrieval techniques and similarity of fuzzy parameterized sets

Job searching for the proper vacancy among several choices is one of the most important decision-making problems. The necessity of dealing with uncertainty in such real-world problems has been a long-term research challenge which has originated from different methodologies and theories. The main contribution of this work is to match the applicant curriculum vitae (CV) with the best available job opportunities based on certain criteria. The proposed job searching system (JSS) implements a series of approaches which can be broken down into segmentation, tokenization, part of speech, gazetteer, and fuzzy inference to extract and arrange the required data from the job announcements and CV. Moreover, this study designs a fuzzy parameterized structure to store such data as well as a measuring tool to calculate the degree of similarity between the job requirements and the applicant’s CV. In addition, this system analyses the computed similarity scores in order to get the optimal job opportunities for the job seeker in descending order. The performance evaluation of the proposed system shows high recall and precision percentages for the matching process. The results also confirm the viability of the JSS approach in handling the fuzziness that is associated with the problem of job searching

Smart detection of offensive words in social media using the soundex algorithm and permuterm index

Offensive posts in the social media that are inappropriate for a specific age, level of maturity, or impression are quite often destined more to unadult than adult participants. Nowadays, the growth in the number of the masked offensive words in the social media is one of the ethically challenging problems. Thus, there has been growing interest in development of methods that can automatically detect posts with such words. This study aimed at developing a method that can detect the masked offensive words in which partial alteration of the word may trick the conventional monitoring systems when being posted on social media. The proposed method progresses in a series of phases that can be broken down into a pre-processing phase, which includes filtering, tokenization, and stemming; offensive word extraction phase, which relies on using the soundex algorithm and permuterm index; and a post-processing phase that classifies the users’ posts in order to highlight the offensive content. Accordingly, the method detects the masked offensive words in the written text, thus forbidding certain types of offensive words from being published. Results of evaluation of performance of the proposed method indicate a 99% accuracy of detection of offensive words

Fuel Consumption Using OBD-II and Support Vector Machine Model

This paper presents a method to estimate gasoline fuel consumption using the onboard vehicle information system OBD-II (Onboard Diagnoses-II). Multiple vehicles were used on a test route so that their consumption can be compared. The relationships between fuel consumption and both of the engine speed are measured in RPM (revolutions per minute), and the throttle position sensor (TPS). The relationships are expressed as polynomial equations. The method which is composed of an SVM (support vector machine) classifier combined with Lagrange interpolation, is used to define the relationship between the two engine parameters and the overall fuel consumption. The relationship model is plotted using a surface fitting tool. In the experimental section, the proposed method is tested using the vehicles on a major highway between two cities in Jordan. The proposed model gets its sample data from the engine’s RPM, TPS, and fuel consumption. The method successfully has given precise fuel consumption with square root mean difference of 2.43, and the figures are compared with the values calculated by the conventional method

Power Optimization in Mobile Robots Using a Real-Time Heuristic

Mobile robots typically run using finite energy resources, supplied by finite batteries. The limitation of energy resources requires human intervention for recharging the batteries. To reduce human intervention, this work focuses on coordinating power in a group of robots. A power optimization subroutine provides some sense of distribution of power by the control unit (CU). A variety of on-board sensors, actuators, and communication modules are controlled by a heuristic-based controller class allowing such components to conserve the current taken from the attached power source. Using the proposed approach, autonomous robots will be aware of their power system, especially regarding battery life. The new approach takes advantage of a heuristic function which uses evaluation values calculated at different times for the different robots. An experimental setup is applied on the team of robots. The optimization module is evaluated on each robot. The results show that the team of mobile robots consumes less energy and more efficient power regulation during their duties. Finally, the application of the proposed optimization technique in a distributed manner achieves good power saving figures when performing the particular task

An Integrated Conceptual Model for m-Government Acceptance in Developing Countries: The Case Study of Jordan

Mobile information and communication technology changed how people and businesses can benefit from government public services at any time and from anyplace. The success or failure of mobile government services is becoming more dependent on satisfying the needs and the expectations of both citizens and business organizations. This paper reviews and analyses some existing empirical studies that examine m-Government acceptance in some developing countries. Then, a new integrated conceptual model for examining some important key factors that may affect m-Government acceptance in Jordan from user perspective was proposed.  An empirical test was conducted using a questionnaire to explore the effect of the following factors: Trust in mobile channel, trust in government, perceived usefulness, perceived ease of use, relative advantage, compatibility, complexity, service quality and user satisfaction on the behavioural intention to use m-Government applications. Finally, justification of the proposed integrated model and formulation of the associated hypotheses was conducted

An Integrated Conceptual Model for m-Government Acceptance in Developing Countries: The Case Study of Jordan

Mobile information and communication technology changed how people and businesses can benefit from government public services at any time and from anyplace. The success or failure of mobile government services is becoming more dependent on satisfying the needs and the expectations of both citizens and business organizations. This paper reviews and analyses some existing empirical studies that examine m-Government acceptance in some developing countries. Then, a new integrated conceptual model for examining some important key factors that may affect m-Government acceptance in Jordan from user perspective was proposed.  An empirical test was conducted using a questionnaire to explore the effect of the following factors: Trust in mobile channel, trust in government, perceived usefulness, perceived ease of use, relative advantage, compatibility, complexity, service quality and user satisfaction on the behavioural intention to use m-Government applications. Finally, justification of the proposed integrated model and formulation of the associated hypotheses was conducted

Towards a Model of Quality Features for Mobile Social Networks Apps in Learning Environments: An Extended Information System Success Model

Quality features are one of the most important issues that should be considered during the development of Mobile Social Networks (MSN) applications in learning environments. These features are considered one of the most important factors for the successful development of any system. In order to increase the chance of the successful development of MSN applications, there need to identify well-defined set of quality features for MSN applications adoption in the learning environment. Therefore, this study proposes a model that captures most important quality features of MSN applications based on extending the DeLone and McLean information systems success model empirically. The proposed model of this study is examined empirically through a survey of 235 students. The findings also indicate that there are positive relationships between students satisfaction, behavioral intention to use with the overall quality features. The proposed model presents for researchers and designers the most important quality features as guidelines to design and develop MSN applications with a positive effect on students’ behavioral intention to use of MSN applications, and this situation can lead to enhance the learning outcomes using this new application