IoT-Based Vision Techniques in Autonomous Driving

As more people drive vehicles, there is a corresponding increase in the number of deaths and injuries that happen due to road traffic accidents. Thus, various solutions have been proposed to reduce the impact of accidents. One of the most popular solutions is autonomous driving, which involves a series of embedded systems. These embedded systems assist drivers by providing crucial information on the traffic environment or by acting to protect the vehicle occupants in particular situations or to aid driving. Autonomous driving has the capacity to improve transportation services dramatically. Given the successful use of visual technologies and the implementation of driver assistance systems in recent decades, vehicles are prepared to eliminate accidents, congestion, collisions, and pollution. In addition, the IoT is a state-of-the-art invention that will usher in the new age of the Internet by allowing different physical objects to connect without the need for human interaction. The accuracy with which the vehicle's environment is detected from static images or videos, as well as the IoT connections and data management, is critical to the success of autonomous driving. The main aim of this review article is to encapsulate the latest advances in vision strategies and IoT technologies for autonomous driving by analysing numerous publications from well-known databases

Determine the Role of Customer Engagement on Relationship Quality and Relationship Performance

This conceptual paper aims to investigating the potential effect of relationship market orientation upon buyer-seller relationship with particular emphases on customer engagement, relationship quality, and relationship performance. Engagement is a central concept in the social psychology/exchange literature. Customer engagement explains how social relationships initiate, endure and develop. The literature on buyer-seller relationships has been inspired by social psychology/exchange, adopting concepts such as trust and commitment, but overlooking the concept of customer engagement. In this study we propose a conceptual perspective on customer engagement that is based on the principle of social exchange. We demonstrate the relevance of customer engagement by linking it to relationship quality and relationship performance. More specifically, it is argued that the outcome of relationship quality from a lack of customer engagement by moderating effects of relationship involvement. Purpose of study to provide insight into customer engagement when viewed through perspective of social exchange lens. Objective of study to determine the major customer engagement is really matter in relationship quality and relationship performance. To determine the relationship involvement moderate between customer engagement and relationship quality Key words: Engagement, Relationship Quality, Relationship Involvement, Relationship Performance

The Impact of Service Quality Dimensions on Customer Satisfaction: Case Study of University Utara Malaysia

The purpose of this study is to investigate the effect of service quality (reliability, empathy, tangibility, assurance, responsiveness) on customer satisfaction in University Utara Malaysia (Education Service). Each variable is measured using 7-point interval scale: reliability (6 items), empathy (6 items), tangibility (5 items), assurance (10 items), and responsiveness (5 items) on customer satisfaction (6 items). Using the primary data collection method, 160 questionnaires were distributed to postgraduate students inside University Utara Malaysia (Sintok Campus), in north Malaysia. The responses collected were 98 completed questionnaires representing with 61.25 % response rate. The data were analyzed using Structural equation modeling (SEM) using AMOS 7. Confirmatory factor analysis of measurement models indicates adequate goodness of fit after a few items were eliminated through modification indices verifications. Goodness of fit for the revised structural model shows adequate fit. This study has established five direct effects: (1) reliability customer satisfaction; (2) empathy and customer satisfaction; (3) tangibility and customer satisfaction; (4) assurance and customer satisfaction; (5) and responsiveness on customer satisfaction. And, this study concludes that all hypotheses have been asserted in the revised model