An IoT-Based Ship Berthing Method Using a Set of Ultrasonic Sensors

It is indisputable that a great deal of brand new technologies such as the internet of things, (IoT) big data, and cloud computing are conquering every aspect of our life. So, in the branch of marine technology, the mentioned technologies are also being applied to obtain more features and to automate marine-related operations as well as creating novel smart devices. As a result of this, traditional ports and ships are being replaced by smart ports and vessels. To achieve this transition, numerous applications need to be developed to make them smart. The purpose of this paper is to present a dedicated an IoT-based system for automating linkage procedures by searching for available locations via port-mounted sensors and planned ship notification. In the experimental system, we have used smartphone as an alternative to the client-side vessel of the system and created an Android app called “Smart Ship Berthing” instead of the charging program, for instance, NORIVIS 4, VDASH, ODYSSEY, etc. To test our proposed server-side system, we used Raspberry Pi with a combination of an ultrasonic sensor to detect the ship and modify the empty berth for anchoring. The experimental results show that the set of UR sensors have high accuracy to detect ships at the port for ship berthing and our proposed system is very amenable to implementation in the real marine environment.

Download Full-text

Analysis of WebAssembly as a Strategy to Improve JavaScript Performance on IoT Environments

10.5753/sbesc_estendido.2020.13102 ◽

2020 ◽

Author(s):

Fernando Oliveira ◽

Júlio Mattos

Keyword(s):

Internet Of Things ◽

Mobile Applications ◽

Raspberry Pi ◽

The Internet ◽

Memory Usage ◽

C Language ◽

Server Side ◽

Benchmark Suite ◽

Iot Devices ◽

The Internet Of Things

JavaScript language (JS) has been widely used in recent years applied to browsers-context. Yet JS is being applied to other backgrounds such as server-side programming, mobile applications, games, robotics, and the Internet of Things (IoT). JavaScript is suitable for programming IoT devices due to eventdriven oriented architecture. However, it is an interpreted language, so it has a lower performance than a compiled language. This paper assesses the use of WebAssembly as a strategy to improve the performance of JavaScript applications in the IoT environment. The experiments were performed on a Raspberry Pi using the Ostrich Benchmark Suite. We run the algorithms in JavaScript, WebAssembly, and C language while collecting data about device resource consumption. Our results showed that JavaScript performance could be improved by 39.81% in terms of execution time, a tiny gain in memory usage, and reduced battery consumption by 39.86% when using WebAssembly.

Download Full-text

COSMOS: Collaborative, Seamless and Adaptive Sentinel for the Internet of Things

Sensors ◽

10.3390/s19071492 ◽

2019 ◽

Vol 19 (7) ◽

pp. 1492 ◽

Cited By ~ 6

Author(s):

Pantaleone Nespoli ◽

David Useche Pelaez ◽

Daniel Díaz López ◽

Félix Gómez Mármol

Keyword(s):

Internet Of Things ◽

Real World ◽

Smart Devices ◽

Raspberry Pi ◽

The Internet ◽

Security Issues ◽

Dynamic Scenario ◽

Computer Based ◽

Iot Devices ◽

The Internet Of Things

The Internet of Things (IoT) became established during the last decade as an emerging technology with considerable potentialities and applicability. Its paradigm of everything connected together penetrated the real world, with smart devices located in several daily appliances. Such intelligent objects are able to communicate autonomously through already existing network infrastructures, thus generating a more concrete integration between real world and computer-based systems. On the downside, the great benefit carried by the IoT paradigm in our life brings simultaneously severe security issues, since the information exchanged among the objects frequently remains unprotected from malicious attackers. The paper at hand proposes COSMOS (Collaborative, Seamless and Adaptive Sentinel for the Internet of Things), a novel sentinel to protect smart environments from cyber threats. Our sentinel shields the IoT devices using multiple defensive rings, resulting in a more accurate and robust protection. Additionally, we discuss the current deployment of the sentinel on a commodity device (i.e., Raspberry Pi). Exhaustive experiments are conducted on the sentinel, demonstrating that it performs meticulously even in heavily stressing conditions. Each defensive layer is tested, reaching a remarkable performance, thus proving the applicability of COSMOS in a distributed and dynamic scenario such as IoT. With the aim of easing the enjoyment of the proposed sentinel, we further developed a friendly and ease-to-use COSMOS App, so that end-users can manage sentinel(s) directly using their own devices (e.g., smartphone).

Download Full-text

A Comprehensive Survey on Local Differential Privacy toward Data Statistics and Analysis

Sensors ◽

10.3390/s20247030 ◽

2020 ◽

Vol 20 (24) ◽

pp. 7030

Author(s):

Teng Wang ◽

Xuefeng Zhang ◽

Jingyu Feng ◽

Xinyu Yang

Keyword(s):

Differential Privacy ◽

Frequency Estimation ◽

Building Blocks ◽

Smart Devices ◽

Future Research ◽

Server Side ◽

Mean Estimation ◽

Comprehensive Survey ◽

Data Statistics ◽

Client Side

Collecting and analyzing massive data generated from smart devices have become increasingly pervasive in crowdsensing, which are the building blocks for data-driven decision-making. However, extensive statistics and analysis of such data will seriously threaten the privacy of participating users. Local differential privacy (LDP) was proposed as an excellent and prevalent privacy model with distributed architecture, which can provide strong privacy guarantees for each user while collecting and analyzing data. LDP ensures that each user’s data is locally perturbed first in the client-side and then sent to the server-side, thereby protecting data from privacy leaks on both the client-side and server-side. This survey presents a comprehensive and systematic overview of LDP with respect to privacy models, research tasks, enabling mechanisms, and various applications. Specifically, we first provide a theoretical summarization of LDP, including the LDP model, the variants of LDP, and the basic framework of LDP algorithms. Then, we investigate and compare the diverse LDP mechanisms for various data statistics and analysis tasks from the perspectives of frequency estimation, mean estimation, and machine learning. Furthermore, we also summarize practical LDP-based application scenarios. Finally, we outline several future research directions under LDP.

Download Full-text

E-Learning Development Based on Internet of Things and Blockchain Technology during COVID-19 Pandemic

Mathematics ◽

10.3390/math9243151 ◽

2021 ◽

Vol 9 (24) ◽

pp. 3151

Author(s):

Amir Masoud Rahmani ◽

Rizwan Ali Naqvi ◽

Mazhar Hussain Malik ◽

Tauqeer Safdar Malik ◽

Mahyar Sadrishojaei ◽

...

Keyword(s):

Internet Of Things ◽

Online Education ◽

New Technologies ◽

Learning Experience ◽

Skin Resistance ◽

Smart Devices ◽

The Internet ◽

Digital World ◽

E Learning ◽

The Internet Of Things

The suspension of institutions around the world in early 2020 due to the COVID-19 virus did not stop the learning process. E-learning concepts and digital technologies enable students to learn from a safe distance while continuing their educational pursuits. Currently, the Internet of Things (IoT) is one of the most rapidly increasing technologies in today’s digital world; and e-learning is one of the most powerful learning methods available. In today’s world, smart devices and new technologies assist teachers in concentrating on new models of student learning while avoiding time wastage. By examining the characteristics of the Internet of Things and the challenges that exist in the field of e-learning, the potential functions, benefits, and advancements of utilizing the Internet of Things in online education are identified and discussed. This article examines the existing and future condition of the Internet of Things world as it pertains to the topic of education and sophisticated capabilities available through the Internet of Things that enable the application of e-learning after an architecture has been designed. Students’ pulse rates, brain waves, and skin resistance are measured in real time by a collection of IoT sensors, including cameras, microphones, and wearable gadgets. By utilizing the proposed architecture, universities can change their distance learning tactics to maximize resources and boost efficiency without changing their overall academic activities. According to the study’s findings, e-learning has a favorable and statistically significant impact on students’ flexibility, learning experience, educational productivity, and overall quality of education.

Download Full-text

A Javascript GIS Platform Based on Invocable Geospatial Web Services

10.20944/preprints201801.0268.v1 ◽

2018 ◽

Author(s):

Konstantinos Evangelidis ◽

Theofilos Papadopoulos

Keyword(s):

Web Services ◽

Location Based Services ◽

Web Gis ◽

Smart Devices ◽

Semantic Web Technologies ◽

Web Browser ◽

Server Side ◽

Client Side ◽

Geospatial Web Services ◽

Gis Platform

Semantic Web technologies are being increasingly adopted by the geospatial community during last decade through the utilization of open standards for expressing and serving geospatial data. This was also dramatically assisted by an ever increasing access and usage of geographic mapping and location-based services via smart devices in people’s daily activities. In this paper we explore the developmental framework of a pure Javascript client-side GIS platform exclusively based on invocable geospatial Web services. We also extend Javascript utilization on the server side by deploying a node server acting as a bridge between open source WPS libraries and popular geoprocessing engines. The vehicle for such an exploration is a cross platform Web browser capable of interpreting Javascript commands to achieve interaction with geospatial providers. The tool is a generic Web interface providing capabilities of acquiring spatial datasets, composing layouts and applying geospatial processes. In an ideal form the end-user will have to identify those services, which satisfy a geo-related need and put them in the appropriate row. The final output may act as a potential collector of freely available geospatial web services. Its server-side components may exploit geospatial processing suppliers composing that way a light-weight fully transparent open Web GIS platform.

Download Full-text

Smart Architectural Framework for Symmetrical Data Offloading in IoT

Symmetry ◽

10.3390/sym13101889 ◽

2021 ◽

Vol 13 (10) ◽

pp. 1889

Author(s):

Malvinder Bali ◽

Kamali Gupta ◽

Deepika Koundal ◽

Atef Zaguia ◽

Shubham Mahajan ◽

...

Keyword(s):

New Technologies ◽

Performance Metrics ◽

Smart Devices ◽

Data Traffic ◽

Data Offloading ◽

Advantages And Disadvantages ◽

Huge Data ◽

Architectural Framework ◽

The Internet Of Things

With new technologies coming to the market, the Internet of Things (IoT) is one of the technologies that has gained exponential rise by facilitating Machine to Machine (M2M) communication and bringing smart devices closer to end users. By 2025, it is expected that IoT will bring together 78.4 billion of devices, thus improving the quality of life beyond our imagination; however, there are multiple potential challenges, such as the exploitation of energy consumption and the huge data traffic being generated by smart devices causing congestion and utilizing more bandwidth. Various researchers have provided an alternative to this problem by performing offloading of data, the task and computational requirements of an application at edge and fog nodes of IoT, thus helping to overcome latency issues for critical applications. Despite the importance of an offloading approach in IoT, there is need for a systematic, symmetric, comprehensive, and detailed survey in this field. This paper provides a systematic literature review (SLR) on data offloading approaches in IoT network at edge and fog nodes in the form of a classical taxonomy in order to recognize the state-of-the art mechanism(s) associated with this important topic and provide open consideration of issues as well. All of the research on classified offloading approaches done by researchers is compared with each other according to important factors such as performance metrics, utilized techniques, and evaluation tools, and their advantages and disadvantages are discussed. Finally, an efficient smart architecture-based framework is proposed to handle the symmetric data offloading issues.

Download Full-text

DIDACTICS OF USING INTELLIGENT CONTROL SYSTEMS OF THE INTERNET OF THINGS IN THE PROJECT ACTIVITY OF STUDENTS

Informatics in school ◽

10.32517/2221-1993-2019-18-10-7-15 ◽

2019 ◽

pp. 7-15

Author(s):

M. V. Shevchuk ◽

V. G. Shevchenko ◽

I. A. Borodyanskiy

Keyword(s):

Internet Of Things ◽

Control Systems ◽

Information And Communication Technologies ◽

Intelligent Control ◽

Smart Devices ◽

Raspberry Pi ◽

The Internet ◽

Intelligent Control Systems ◽

Information And Communication ◽

The Internet Of Things

The article discusses the issues of teaching the basics of intelligent control systems of the Internet of Things in a school informatics course using modern information and communication technologies. Methodical recommendations for training on this theme in the elective course "The basics of intelligent control systems" using smart devices for smart home and the Internet of Things (Arduino, Raspberry Pi) are given.

Download Full-text

Security and Privacy of E-Health Data using Two Fish Encryption Algorithm

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.f7295.059120 ◽

2020 ◽

Vol 9 (1) ◽

pp. 1906-1910

Keyword(s):

Health Care ◽

Security And Privacy ◽

Encryption Algorithm ◽

Smart Devices ◽

Privacy And Security ◽

Plain Text ◽

Health Care Data ◽

Server Side ◽

Key Length ◽

The Internet Of Things

The rapid growth development of the Internet of Things (IoT) has supported communication between various smart devices and it helps to exchange data between them. IoT is very highly demand topics between the researchers. The main goal of IoT in health care is to provide real time monitoring of the patient. But these new challenges also introduced the privacy and security to the health care data. Security is a major concern of the data. A system requires with authentic protocol for maintaining privacy of health care data. After going through all methodologies of the protocol encryption will be carried out of data of the health care with “two fish” encryption technique. At server side, it will automatically get decrypted after applying key. Two fish encryption algorithm is a block cipher algorithm of 128 bit. The key length vary until 256 bit. Key is divided in two parts as the first half of the key will encrypt the plain text and second half of the key will modify the encryption algorithm.

Download Full-text

Application of the Internet of Things technology (IoT) in Designing an Automatic Water Quality Monitoring System for Aquaculture Ponds

Vietnam Journal of Agricultural Sciences ◽

10.31817/vjas.2020.3.2.06 ◽

2020 ◽

Vol 3 (2) ◽

pp. 624-635

Author(s):

Nguyen Quang Huy ◽

Vu Thi Thu Giang ◽

Le Vu Quan ◽

Ho Vo The Cuong

Keyword(s):

Water Quality ◽

Internet Of Things ◽

Smart Devices ◽

Raspberry Pi ◽

The Internet ◽

Measuring Device ◽

Sensor Module ◽

Aquaculture Ponds ◽

Internet Of Things Technology ◽

The Internet Of Things

The current aims to apply the Internet of Things technology (IoT) in designing an automatic system for measuring and monitoring important parameters of aquaculture ponds such as temperature, pH, and dissolved oxygen (DO). The system includes the Arduino Nano main microcontroller (the device that transmits and pushes data to the Raspberry Pi 3 Web server), the DS18B20 temperature sensor module, the pH sensor module V1.1, and the DO Sensor SKU SEN0237. The system is capable of continuously measuring the above parameters of aquaculture ponds. The measurement results are stored and transmitted wirelessly to smart devices such as computers and mobile phones. Farmers can continuously monitor water quality parameters of aquaculture ponds (pH, DO, temperature) through these smart devices. In addition, a warning message will be sent to the farmer's phone when the DO index of the aquaculture pond falls below the prescribed level. The results of the test evaluation also show the high accuracy of the system when compared with the sample measuring device. All relative errors are satisfied less than the limit value of 5%.

Download Full-text