Application of Internet of Things (IoT) and Big Data in the Maritime Industries: Ship Allocation Model

The Internet of Things (IoT) and Big Data (BD) are growing significantly. IoT is defined as a gateway of technology to digital transformation. To work effectively, BD, Artificial intelligence (AI), and blockchain all rely on those data. Once the physical framework information is changed into computerized digital data, an opportunity opens up to improve vessel operations. Research shows that much of the hidden information can help improve vessel operations by leveraging BD and IoT. Therefore, other sectors of the value chain players such as consignees, shipyards, shippers, manufacturers, and classification societies are also interested in maritime BD. In recent years, the world's ship logistics industry has undergone major changes due to the global shipping cargo movement. The availability of numerous BD is also growing exponentially. This will make it possible to utilize many BDs and IoT in the shipping industry. Successful utilization of these BDs and IoT will bring about major innovations in the shipping industry. In this study, we reviewed several applications of BD and IoT in the maritime domain and developed a ship allocation model using maritime BD and IoT-extracted data. As a result, ship allocation establishment is discussed, and the ship allocation result is evaluated

Tourism and the smartphone app: capabilities, emerging practice and scope in the travel domain.

Based on its advanced computing capabilities and ubiquity, the smartphone has rapidly been adopted as a tourism travel tool.With a growing number of users and a wide varietyof applications emerging, the smartphone is fundamentally altering our current use and understanding of the transport network and tourism travel. Based on a review of smartphone apps, this article evaluates the current functionalities used in the domestic tourism travel domain and highlights where the next major developments lie. Then, at a more conceptual level, the article analyses how the smartphone mediates tourism travel and the role it might play in more collaborative and dynamic travel decisions to facilitate sustainable travel. Some emerging research challenges are discussed

Assigning UPDRS Scores in the Leg Agility Task of Parkinsonians: Can It Be Done through BSN-based Kinematic Variables?

In this paper, by characterizing the Leg Agility (LA) task, which contributes to the evaluation of the degree of severity of the Parkinson's Disease (PD), through kinematic variables (including the angular amplitude and speed of thighs' motion), we investigate the link between these variables and Unified Parkinson's Disease Rating Scale (UPDRS) scores. Our investigation relies on the use of a few body-worn wireless inertial nodes and represents a first step in the design of a portable system, amenable to be integrated in Internet of Things (IoT) scenarios, for automatic detection of the degree of severity (in terms of UPDRS score) of PD. The experimental investigation is carried out considering 24 PD patients.Comment: 10 page