This paper aims to explore the use of websites by tourist ports to assess whether they support ports in communicating their image and provide information and services to actual and potential customers.,An analysis of 129 tourist ports websites from ten Mediterranean countries was conducted using the 2QCV3Q model, a multi-purpose qualitative evaluation tool based on experts’ judgments.,The findings show that tourist ports’ websites are typically beautiful and well-managed, give ports a clear image and link them with the local territory; however, sample websites are only partially user-friendly, offer limited room for interaction and fail to provide all the expected information and services to the visitors.,This research provides an unprecedented picture of the use and quality of websites by tourist ports located in the Mediterranean Sea and offers a robust and exhaustive assessment tool that might be of interest to researchers. The tool might also help managers of tourist ports to improve their websites by making them more business- and customer-oriented.,,本论文旨在研究旅游港口网站, 以评估其宣传港口形象和为现有和未来游客提供信息和服务的支持。,研究样本是来自10个地中海国家的129家旅游港口网站。本论文以专家评估为依据, 采用2QCV3Q模型和多目的定性评估工具来进行样本分析。,研究结果表明旅游港口网站一般都具有美丽和规范管理的特点, 为旅游港口树立一个清洁形象, 并展示当地地理环境；然而, 样本网站只是具备些许用户友好界面, 很少有很好的交互特性, 因此不能很好地为游客提供所需的信息和服务。,本论文提供了一个前所未有在地中海区域旅游港口网站使用和质量评估报告, 并且提出了一个强有力的评估工具, 这对于学术研究有着显著意义。这个评估工具还能帮助旅游港口经营者通过改善网站的商业体验和消费者体验来提高其网站的各种特性。,海洋旅游, 旅游港口, 海洋管理, 网站营销, 网站评估, 网站质量,研究论文

The use of websites by Mediterranean tourist ports

The purpose of this study is to propose a mathematical optimization model to solve the yacht mooring area re-allocation problem (YMARP). The objective of the problem is to allow the maximum number of yachts to be moored at their ideal mooring areas.,In this paper, the YMARP is introduced, formally defined and discussed. The authors develop a 0-1 integer programing optimization model for the problem, which can be solved efficiently using off-shelf solvers. The performance of the model is tested on extensive numerical experiments.,The results of the numerical experiments demonstrate that the proposed model can solve the YMARP very efficiently using off-shelf solvers like CPLEX. In particular, problems with up to 30,000 yachts and 400 mooring areas can be solved to optimum within 30 s.,This study is one of the preliminary studies to consider problems arising in yacht management in a quantitative manner. The proposed model has three main merits. First, it enables the government to better manage yachts and mooring areas. Second, with more yacht owners assigned with ideal mooring areas, the model helps reduce the traveling time of the yacht owners to yacht mooring areas. Third, by reducing the traveling time of the yacht owners, the model contributes to lessening the traffic burden in cities.

Optimal re-allocation of mooring areas for yachts

Parametric Analysis for Structural Stiffness Enhancement of Motorcycle Frame

This paper represents controlling a Robotic arm via Raspberry pi through remote access. People tend to believe that robots are suitable for industrial use or just by scientist to test different technologies. But there are various other ways and technologies which are based on robots and can be used in our day. They have been used for various purposes like spying on people in ways people can't move and from views humans can't reach, Going far down into the unknown waters , they can capture moments just too fast for the human eye to get, for example the Atlas detector in the LHC project can capture ~ 600000 frames per second while we can see at about 60. They are mostly automated so they can go around by themselves without any human interference. They can help us with normal household chores. This paper presents the development of Robotic arm controlled by Raspberry pi. The movement of the robot arm is controlled by raspberry pi remotely. This paper will demonstrate how robotic arm can be controlled remotely. And similarly how we can make a robot work remotely for other chores.
Keywords—Raspberry pi; robotic arm; Remote access; Python script; Mob Xterm

Nitisha Srivastava

Papers

Raspberry Pi Controlled Robotic Arm