IoT Based Architecture for Basketball Supervision

Basketball is one of the most played games in the world with a huge amount of fan following and has a great number of basketballers. Sometimes players get severe lower body wounds such as ankle sprains, shortage of breath, head, teeth, hand, and fingers. Female players have a higher risk of knee injuries than male players. These are health issues that players face while playing basketball. Sports organizations spend millions to train fresh basketball players or for the development of the previous basketball players. The internet of things (IoT) made everyday things readable, controllable and recognizable through the internet and the wireless sensor networks. It is simply the network of interconnected devices that are embedded with sensors, software, and connectivity modules.Nowadays, with this growing technology it is possible to protect the life of players in the game as well as in training sessions, if we detect the problems early in players and appropriate actions will be taken to reduce adverse health effects which can be very dangerous. In this paper, we will propose an architecturefor basketball based on the internet of things (IoT). The main goal behind this approach is to introduce a healthcare system based upon sensors, actuators, devices and telecommunication technologies to communicating real-time stats

An IoT-aware Architecture to improve Safety in Sports Environments

The introduction of Internet of Things enabling technologies into the sport and recreational activities domain provide an interesting research challenge. Their adoption could significantly improve the sport experience and also the safety level of team sports. Despite this, only few attempts have been done to demonstrate the benefits provided by use of IoT technologies in sport environments. To fill this gap, this paper propose an IoT-aware Sport System based on the jointly use of different innovative technologies and standards. By exploiting the potentialities offered by an ultra-low-power Hybrid Sensing Network (HSN), composed of 6LoWPAN nodes integrating UHF RFID functionalities, the system is able to collect, in real time, both environmental parameters and players’ physiological data. Sensed data are then delivered to a Cloud platform where a monitoring application makes them easily accessible via REST Web Services. A simple proof of concept has demonstrated the appropriateness of the proposed solution

Smart monitoring system for pressure regulator based on IOT

In the last years, the interconnection of everyday instruments with internet using internet of thinks (IOT), is widely used as a monitoring and controlling in engineering as in smart cities, environmental, others. In this paper, a remote monitoring system of a pressure regulator is developed through an internet of thinks (IOT) communication tool, using MATLAB® programming platforms. The development of monitoring system for acquisition and communication corresponds to the NodeMCU as a microcontroller with ESP8266 for Wi-Fi connected. This system allows to monitor the reference of the pressure regulator and monitor the information of the transducers machine of the plant. Among the advantages of this type of development is that the server is free, and the development system is low cost, also with this type of projects can strengthen the infrastructure of laboratory equipment in engineering to be controlling in a way remote

Multicore development environment for embedded processor in arduino IDE

Internet of things (IoT) technology has found more applications that require complex computation while still preserving power. Embedded processors as the core of the IoT system approaches the need for computation by employing a parallel processor system, namely MPSoC. While various MPSoCs hardware is widely available, there is limited software support form of user-friendly libraries and development platform. There is a need for such a platform to facilitate both the study and development of parallel embedded software. arduino as the widely used embedded development platform is yet to officially support multicore programming. This work proposes an arduino-based development environment that supports multicore programming while maintaining arduino’s simple program structure, targeted at specific low-power MPSoC, the RUMPS401. The environment is fully functional, and while it targets only specific MPSoC, the proposed environment can easily be adopted to other MPSoCs with similar structures with minimal modification

A cloud-based bus tracking system based on internet-of-things technology

The technological rise in public transportation is on the horizon, but the bus network structure and intelligent bus tracking system should first be in place. Bus transport service is on the edge of digital revolution, generating real-time tracking information about the bus service using smartphones. In this paper, a cloud-based bus tracking system based on IoT is proposed to reduce human intervention, waiting time and energy. The exact location and arrival time of the bus can be tracked dynamically by using a mobile application to provide better and efficient bus service. Furthermore, passengers can buy tickets without queueing and book the available seats by making online payments. The proposed scheme allows more flexibility and user satisfactory service to the rider in terms of time loss and encourages more people to ride by providing real-time bus tracking information to improve passenger satisfaction. The main objective is to minimize the unnecessary waiting and queueing time uncertainty of passengers. Riders can utilize their waiting time more productively by choosing the nearest route and alternative transportation. The sustainability of public transport service can be maintained by providing noteworthy benefits to the passengers using the proposed IoT-based bus tracking system

Intelligent trust management methodology for the internet of things (IoT) to enhance cyber security

University of Technology Sydney. Faculty of Engineering and Information Technology.Nowadays, the Internet of Things (IoT) connects billions of devices (things) using the Internet. The devices could be sensors, actuators etc. The number of IoT devices growing and interacting with each other raises the issues of security and trust. Most of the existing trust and security solutions do not present a comprehensive trust management solution for IoT addressing key trust management issues for the IoT. Many of the current solutions do not consider the scalability of the IoT trust management solution. With the rapid growth of IoT nodes a significant majority of the existing techniques do not address methods (or algorithms) to detect uncompliant behaviour or attacks on the trust management approach by the IoT nodes. The uncompliant behaviour may take the form or bad-mouthing attacks, on-off attacks, contradictory attacks and bad service attacks. In the existing literature there is no trust management approach that is scalable and resilient against attacks by uncompliant IoT nodes. To address the above mentioned gaps in the existing literature body, in this thesis I propose an intelligent trust management platform for IoT (TM-IoT). The TM-IoT solution is centred on trust-based clustering of the IoT nodes. IoT nodes are grouped into clusters and each cluster is managed by a Master Node (MN). MN is a responsible for all the trust management activities within each cluster. The Super Node (SN) oversees and manages the MNs. Intelligent fuzzy-logic based and non-fuzzy logic based algorithms are presented to counter untrustworthy IoT nodes from carrying out attacks such as bad-mouthing attacks, on-off attacks, contradictory attacks and bad service attacks. To validate the proposed solutions in this thesis, simulations were conducted using Contiki network simulator for IoT environment (Cooja), which able to simulate large networks. Using the built prototype, I have evaluated and simulated our proposed solutions for the above-mentioned problems by using Cooja and C++ programming language. The obtained results demonstrate the effectiveness of the TM-IoT and also that of the algorithms in achieving their respective goals

A Smart Glucose Monitoring System for Diabetic Patient

[EN] Diabetic patients need ongoing surveillance, but this involves high costs for the government and family. The combined use of information and communication technologies (ICTs), artificial intelligence and smart devices can reduce these costs, helping the diabetic patient. This paper presents an intelligent architecture for the surveillance of diabetic disease that will allow physicians to remotely monitor the health of their patients through sensors integrated into smartphones and smart portable devices. The proposed architecture includes an intelligent algorithm developed to intelligently detect whether a parameter has exceeded a threshold, which may or may not involve urgency. To verify the proper functioning of this system, we developed a small portable device capable of measuring the level of glucose in the blood for diabetics and body temperature. We designed a secure mechanism to establish a wireless connection with the smartphone.Rghioui, A.; Lloret, J.; Harane, M.; Oumnad, A. (2020). A Smart Glucose Monitoring System for Diabetic Patient. Electronics. 9(4):1-18. https://doi.org/10.3390/electronics9040678S1189

Rancang Bangun Sistem Akuisisi Data Kecepatan Sprint Atlet Berbasis Mikrokontroler

microcontroller-based athlete sprint speed data acquisition system has been designed. There are two components of the infrared sensor that function as start and stop, then the signal is forwarded to the Nodemcu microcontroller to be processed as a time variable in milliseconds. After the data is processed, the signal is sent to the user via the cloud hosting server which can be observed via a smartphone. The testing technique is done by placing sensor A and sensor B 10 meters apart then the athlete sprints through the two sensors 10 times as a substitute for the 100 meter sprint. Fast or slow travel time when recording athletes' sprints can be caused by several factors, namely: (1) the angle formed by the body during the sprint, where the angle of movement from a biomechanical view affects the width of the steps in the range. So that the wider the steps are formed, the farther the distance generated in one step in the sprint movement . (2) data on endurance and stamina of athletes when doing 100 m sprints spontaneously, however, from the graph produced, all athletes do not experience a significant decrease in speed so it can be assumed that the athlete's muscle endurance when doing 100 m sprints is still in the best condition. (3) the speed of sending data from sensors to cloud hosting, this can happen if there is a network or disruptio

IoT technologies for livestock management: A review of present status, opportunities, and future trends

The world population currently stands at about 7 billion amidst an expected increase in 2030 from 9.4 billion to around 10 billion in 2050. This burgeoning population has continued to influence the upward demand for animal food. Moreover, the management of finite resources such as land, the need to reduce livestock contribution to greenhouse gases, and the need to manage inherent complex, highly contextual, and repetitive day-to-day livestock management (LsM) routines are some examples of challenges to overcome in livestock production. The Internet of Things (IoT)’s usefulness in other vertical industries (OVI) shows that its role will be significant in LsM. This work uses the systematic review methodology of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to guide a review of existing literature on IoT in OVI. The goal is to identify the IoT’s ecosystem, architecture, and its technicalities—present status, opportunities, and expected future trends—regarding its role in LsM. Among identified IoT roles in LsM, the authors found that data will be its main contributor. The traditional approach of reactive data processing will give way to the proactive approach of augmented analytics to provide insights about animal processes. This will undoubtedly free LsM from the drudgery of repetitive tasks with opportunities for improved productivity

Blockchain and intellectual property rights: A symbiotic relationship

Blockchain technology provides a way to record transactions that is designed to be highly secure, transparent, trustable, traceable, auditable and tamper-proof. Blockchain is an immutable (unchangeable, which means that a transaction or file recorded cannot be changed) digital ledger or digital record of transactions or data stored in multiple locations on a computer network. This paper aims to examine the relationship between blockchain technology and intellectual property rights. It evaluates the protection of blockchain by intellectual property rights and vice versa. It employs a doctrinal method of legal research and concludes that there is a growing symbiotic relationship between the two. It finds that the immutable nature of blockchain provides a history of ownership and creation that cannot be tampered with and eradicates fraud in every system in which blockchain is used. However, this same feature of blockchain has its downsides which includes the inability to correct errors in the record. It recommends an improvement in blockchain technology in this regard as well as increased awareness and usage of blockchain in the protection of intellectual property rights