Assessing and Prioritizing Affecting Factors in E-Learning Websites Using AHP Method and Fuzzy Approach

The evolution of information technologies has caused to the growth in online training as an important education method. Assessment of the quality of e-learning has become a strategic issue; one that is critical to improve e-learning websites .This study identifies the significant factors that influence on successes in e-learning websites. In this study two questionnaires were used. One of questionnaire was AHP questionnaire. From the literature these factors was discovered and then AHP method was applied for prioritizing .Based on literature effective factors was organized in four major groups by experts. After prioritizing  by second questionnaire, data collected from 150 IT students of  three virtual universities in Iran. Used factors in second questionnaire were from prioritized factors in first questionnaire. Data was organized by Excel software and 81 rules were obtained .Finally using fuzzy toolbox in Matlab software and applying obtained rules, outputs of factors were calculated and then in some 3D surface plots were depicted. Keywords: Fuzzy logic, AHP, E-Learning Website, Assessment, Evaluation

A novel PAPR reduction scheme based on selective mapping and a random-like coding with no explicit side information in OFDM

Orthogonal Frequency Division Multiplexing (OFDM) is a promising technique for high data rate and reliable communication over fading channels. The main implementation drawback of this system is the possibility of high Peak to Average Power Ratio (PAPR). In this paper, we develop a novel Selective Mapping (SLM) PAPR reduction technique. In the novel proposed scheme, the alternative symbol sequences are generated by module 2 additions of data with the rows of cyclic Hadamard matrix with the same size, inserting the selected row's number to avoid transmitting any side information and specially using a random-like Irregular Repeat Accumulate (IRA) encoder for both PAPR and Bit Error Rate (BER) better performance. Keywords: IRA Codes, OFDM, PAPR, SLM method

Customer Trust Model for Malaysian Internet Banking

One of the critical components impacting accomplishment of internet banking services is trust of customers. Obtaining customer trust depends on different factors that internet banking struggle to control. The purpose of this research is to make clear and simplify the particular interrelationships and interaction effects between customer's online trust and other related variables such as satisfaction, loyalty and so on in internet banking. In addition, a model of consumer's trust in internet banking depending on the investigation regarding previous studies has been developed. To examine the model some sort of descriptive survey has been applied. According to a sort of a group’s random choosing skim, the survey sample population consisted of 318 randomly obtained from students in the UTM (University Technology Malaysia) who are user of internet banking service. A significant part of the result discovered trust beliefs relate directly with satisfaction, integrity, benevolence, competency and loyalty. Keywords: Trust, Internet Banking, Critical Factors, Malaysia, Customer

Offering an Expert Electronic Roll Call and Teacher Assessment System Based on Mobile Phones for Higher Education

In this paper, we propose an expert electronic roll call for class attendance of students and teacher assessment system. The goal of this system is to design and develop a fully functional automated class attendance Register and assessment system, including hardware and application software. After the teacher initiates the roll call procedure, students in class check their own attendance simultaneously, and then the attendance data are collected into a database automatically .Also after ending a roll call procedure, a procedure of assessment of teacher becomes active and all presence student . We have employed Qt framework for web programming and SQL server database in proposed system. One questionnaire was used in assessment system to assess teacher performance at ending of class. In this system data obtained the questionnaire is collected into a SQL database of assessment system. Finally we use the data collection for assess each teacher in one semester. We also could utilize MATLAB software for exhibition the teacher performance resultant of evaluation and RATIONAL ROSE software for depictions

Offering a Proper E-learning model for Islamic Azad University of Roudsar and Amlash (IAURA)

One of the opportunities that apply Technology an information technology at university is utilization of E-learning. For this reason various models have been suggested for e-learning technologies. In this paper for developing e-learning at IAURA, we analyzed and offered a new model of E-learning as for their requirements and essential offered models (Interactive model, Blended model, Virtual model).In this paper three models were compared. Thus, based on TAM model and utilization of AHP method we weighted these models by Expert Choice Software base on two views as easy and essential of use .E-learning easy of use at IAURA was completed by analyzing and prioritizing models based on implementation requirements and e-learning essential of use at IAURA was completed by analysis of scale of information technology projects at higher education .then we used SAW model for combination of results and interactive model was offered with highest weight. For testing this model in higher education we start many researches and then designed a questionnaire with fifty seven questions for easy of use and essential utilization of interactive model. In this study questionnaire was completed and responded by directors groups, active researchers and experts in e-learning area. After collecting responses, responses were sent to university. Also in this study we used SPSS software for analyzing and finally was determined that education requirements are most important factors in easy of use in interactive model at IAURA. In end of study we exhibited many suggestions for implementation of offered model

Recommender System Based on Semantic Similarity

In electronic commerce, in order to help users to find their favourite products, we essentially need a system to classify the products based on the user's interests and needs to recommend them to the users. For the same reason the recommendation systems are designed to help finding information in large websites. They are basically developed to offer products to the customers in an automated fashion to help them to do conveniently their shopping. The developing of such systems is important since there are often a large number of factors involved in purchasing a product that would make it difficult for the customer to make the best decision. Finding relationship among users and relationships among products are important issue in these systems. One of relations is similarity. Measure similarity among users and products is used in the pure methods for calculating similarity degree. In this paper, semantic similarity is used to find a set of k nearest neighbours to the target user, or target item. Thus, because of incorporating semantic similarity in the proposed recommendation system, from the experimental results, the high accuracy was obtained on private building company dataset in comparison with state-of-the-art recommender systems.DOI:http://dx.doi.org/10.11591/ijece.v3i6.393

Developing a Framework for Exploring Factors Affecting on Trust in M-Commerce using Analytic Hierarchy Process

Mobile Commerce is a developing and maturing area of electronic Commerce, where customers andvendors can interact via the service providers through a wireless network and mobile devices forinformation retrieval and transaction processing. In mobile transactions trust is an essential constituent inmobile commerce transactions .This study aims to clarify the factors that affect on trust in mobilecommerce, and then evaluate and asses these factors by AHP method. This paper provides a theory basedframework that helps to customers to make a right decision while they would like to shop via mobilefacilities in mobile browsers. For this purpose the contribution of different scientific approaches isexamined. By combining these approaches a framework for the classification is derived for trust model.Keywords: AHP method, Mobile Commerce, Trust, Security

IoT in higher learning institutions: opportunities and challenges

Education is now an active collaborative self-directed model because of the presence of technology influence making many institutions to plan to change their way of teaching and learning. The main aim of this paper is to identify problems arising in higher learning institutions around the world and explores the significance of the Internet of Things in providing solutions to these challenges. The paper also brings out various opportunities and challenges that result from the Internet of Things more so to higher learning institutions. The paper finally brings out future directions in relation to developing and implementing projects on Internet of Things on higher learning

Prioritizing critical factors to successful adoption of total hospital information system

Although the benefits of adopting Hospital Information System (HIS) innovation are well known, only a few hospitals in Malaysia have actually adopted it. Surprisingly, there is scarcity of study specifically in the context of Malaysia related to Total Hospital Information System (THIS) adoption. Therefore, the aim of this study is to provide more insight regarding the THIS adoption in the context of Malaysia and as well to explore the potential factors that are connected to the hospitals’ adoption of THIS technology. To this end, this study developed a conceptual framework on the basis of Technology Organization Environment (TOE) for the adoption of THIS by Malaysian hospitals. Accordingly, a Fuzzy AHP model is developed to determine the weights of factors in the three categories for the THIS adoption. These factors are identified and compared by hospital experts and decision makers, who are fully familiar of THIS technology with also professional management and decision-making experience in the healthcare industry. Then fuzzy AHP is applied to compute the weights of incorporated factors in the THIS adoption model. This can result at fostering the uptake of HIS and facilitating its reluctant trend by improving the decision of hospitals towards THIS adoption

Travellers segmentation and choice prediction through online reviews: the case of Wellingtons Hotels in New Zealand

Customer choice and segmentation through online reviews can help hotels to improve their marketing strategy development. Nevertheless, old-style approaches are unproductive in analysing online data generated by customers because of size, dissimilar proportions and structures of online review data. Therefore, this research aims to develop a method for 5-star hotels segmentation and travellers’ choice forecast through online reviews analysis using machine learning methods. Assessment of method was directed through the gathering of data from travellers’ ratings of Wellington’s 5-star hotels on different features in TripAdvisor. Results confirm that the projected hybrid machine learning approaches can be applied as a progressive recommender mediator for 5-star hotel segmentation by applying ‘big data’ obtained from online social media settings