Welcome to International Journal of Emerging Technologies in Engineering Research (IJETER)


Volume 6, Issue 7, July (2018)

S.No Title & Authors Full Text
1 Investigating the Relation between Social Network Marketing and Brand Competitiveness and the Mediating Effect of Customer’s Mental Image on it
Mirza Hasan Hosseini, Nede bashiri
Abstract - Today, the social networks have turned into the inseparable part of business. Marketing through social networks is one of the marketing methods in the modern age that has a great effect on advancement of marketing strategies. Therefore, the current study is done with the aim of investigating the relation between social networks and brand competitiveness and the mediator effect of customer’s mental image variable on this relation. This research from the point view of its practical goal, the descriptive research method and data collecting is a scrolling type. The data collecting tools in this study is the standard questionnaire made by the researcher. In order to measure the validity of the tool and determine its stability we respectively used external validity and Cronbach alpha coefficient that was 0/91. Also in order to investigate the correlation between the research variables and test the hypothesis we respectively used Pearson correlation coefficient and structural equation modeling technique and LISREL software. According to findings, social network marketing has a positive and meaningful effect on brand competitiveness, while the mental image of customers has a positive and meaningful role as the mediator variable.
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2 Modeling the Explanation of the Components Influencing on Customer Trust in Electronic Commerce
Ali Akbar jowkar, Mehran gholami
Abstract - Along with the increase in goods trade and services through Internet and World Wide Web, trust creation has become very important in electronic commerce. Trading through Internet is associated with some risks that the most important is lack of trust between the seller and the buyer which refers to lack of physical presence of the seller and the buyer in the business location, lack of possibility to check the goods and the sale location before the purchase takes place or buyer’s lack of access to goods just at the time of purchase. Therefore, creating trust in customers by itself is influenced by various factors. Therefore, the aim of the current study is the identification and explanation of factors influencing on customer trust in electronic commerce. The current study is done on the basis of a practical research goal and how to obtain the required data that is a descriptive correlation research type. The statistical society of the research includes some of the customers of online stores in the country. The sample size in this research equals to 384 people and sampling is done through simple random method. The data collecting tool for this research is questionnaire that we used the experts and professors’ opinions to determine its validity and Cronbach alpha coefficient to determine its stability. To analyze the data in this study, we used Kolmogorove and Sminov tests, Confirmatory Factor Analysis and SPSS and LISREL software. According to the findings of research, the company features and the website substructures have the most influence on the customer trust in electronic commerce and other variables also (personal features of customers and the interactions between customer and company) have influenced significantly on the brand equity.
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3 A Comparative Analysis on Visual Object Tracking System using Discriminative Correlation Filter and Extended Correlation Filter
V.Ramalakshmi @ Kanthimathi, Dr. M. Germanus Alex
Abstract - Tracker is the term used often in worldwide web. Visual object tracking in video is very common. It is the process of locating and tracking the motion and orientation of one or multiple moving objects over time in the given video sequence.The variations in the appearance of a tracked object include changes in geometry/photometry, camera viewpoint, illumination, or partial occlusion pose a major challenge to object tracking. In this paper, we present the design and implementation of a visual object tracking system using video scenes captured from a single surveillance camera. The proposed system uses a discriminative correlation filter based model which is robust and computationally efficient for real time tracking. The proposed system is developed in Matlab. Experiments are conducted on real world publicly available benchmarking video sequences. Our experimental results show that the proposed trackers perform better than most of the recently designed trackers.
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