Cloud Internet Research Articles

434 MHz Environmentally Safe Monitoring Schema for Vehicular Network by AI-ML-IoT Technologies

Connected vehicular tracking schema operated in environmentally safe radio frequency of 434 MHz, artificial intelligence, and machine learning and IoT technology (CVT-AIML-IoT) is cost effective and secured tracking or device monitoring system. The prime benefit of the proposed CVT-AIML-IoT system is that it utilizes cloud internet of things (IoT) technology and active radio frequency identification over global positioning system (GPS), which is prone to attackers due to self-defenseless network architecture. The sliding side of GPS is observed; when the GPS module is switched-off, it can be hidden without any authorization. Hence, an uninterrupted observing secured system like CVT-AIML-IoT is a promising solution with dynamic vehicular PIN generation by AI-ML concept. CVT-AIML-IoT grids the traceable area based on the topographical dependency. Detection range gateway coupled with IoT transceiver module captures data from each tracking zone to the cloud for monitoring over Web UI support and mapped with time stamp. Hence, CVT-AIML-IoT assures vehicular monitoring in a lucrative approach.

Преподавание современных методов обработки и передачи сигналов в строительных университетах

Introduction. Development and widespread dissemination of information technologies, including the Internet, mobile communications, cloud computing, Big Data, the Internet of Things, digital twin, etc. are being proactively introduced into versatile production and business processes of the construction industry. Therefore, a graduate of a civil engineering university must master the fundamentals of the above-listed technologies and know how to use them in his/her practical activities. It’s particularly important for those specialities that deal with information technologies in civil engineering. However, a number of important areas of knowledge that serve as the basis for mobile communications, the Internet, and wireless technologies, are only taught at specialized universities and schools. Nevertheless, students of civil engineering universities need to understand the theoretical provisions and processes of information technologies. Materials and methods. Systematization, the benchmark method, theoretical generalization of data extracted from literary sources were applied. Results. The founding notions, needed to discuss digital technologies, encompass temporary signal notation, spectral characteristics, spectral bandwidth, time and frequency division, multiplexing, discrete sampling and quantization of a signal. It is impossible to successfully study and effectively use these advanced technologies without having understood these fundamental technologies. The author offers a simplified explanation of these notions and principal processes in terms of their application in the construction industry. Conclusions. The author addresses complicated issues of the theory of signals and their transmission over communication lines. He presents the three key ideas that serve as the basis for multiple advanced information technologies, including time and spectrum signal notation, time and frequency division, multiplexing, discrete sampling and quantization of a signal. The author’s ideas can be used to teach mobile technologies, the Internet, the Internet of Things, cloud and edge computing, digital twin, etc.

Implementation Patterns of AquaSim for Simulation of Underwater Acoustic Wireless Sensor Networks

Now days, a number of corporate as well as social applications are connected with wireless technologies which are covered under the domain of Internet of Things (IoT) and Cloud of Things (CoT). To work with the development and implementation of these scenarios, there is need of high performance costly gadgets which are difficult for the self finance researchers and small organizations. To cope up with the financial aspects of developing and getting the results from advanced wireless environment, the use of simulators and software libraries is done. In wireless environment, the segment of Underwater Wireless Sensor (UWSN) or Underwater Acoustic Network (UAN) is quite prominent which are used for the underwater applications including Military, Naval and Underwater Surveillance. Underwater sensor networks are famous for researchers and engineers in wireless technology. This field offers a lot of academic work in different disciplines. The main challenge of this UWSN is the energy saving for sensor nodes. For this cause, the location of sensor nodes shifts about regularly. There are several algorithms for energy production and collection, but this area is still in need of study due to political and national security concerns.

Additive manufacturing embraces big data

Additive manufacturing (AM) is a relatively novel method to fabricate 3D objects by adding layer-upon-layer materials. As one of the most anticipated techniques in recent years, AM already made advances in design, production, and supply chain process of the manufacturing industry. AM is a digital manufacturing technology in which a massive amount of data is generated during the process. Accordingly, obtaining useful information from these data to improve current AM technology becomes a challenge. Meanwhile, Big Data research provides an ideal solution for dealing with the massive data obtained from AM processes. Besides the contributions in the AM research and production, Big Data analysis methods can also be used to help designers and engineers by collecting valuable information from clients and customers. From a business perspective, the manufacturing sector will benefit from the established Big Data sharing platform to promote and popularize new products. On the other hand, customers will obtain desired commodities with the help of a new-type 3D printing service system. The goal of this article is to summarize the contributions from the existing literature in the AM and Big Data field and prospect how Big Data methods can offer a better future for AM technology. It also introduces recent developments in AM technology combined with the internet of things (IoT), cloud, and cybersecurity. Future directions in AM and Big Data, which include AM data unification, completed AM data-sharing platform, and smart AM production process is pointed out as well.

Privacy-Preserving Key Agreement Protocol for Fog Computing Supported Internet of Things Environment

Fog computing is an emerging paradigm that provides confluence facilities between Internet of Things (IoT) devices and cloud. The fog nodes process the information collected by the IoT devices, thereby providing services to the cloud. With the addition of an extra layer, the environment achieves better latency, mobility support, location-awareness, and real-time data handling. Further research in this area also draws attention to the existing quality of fog computing, and emerging security and privacy challenges. The increasing number of IoT devices and the introduction of middle-layer over public network introduces performance, correctness, accountability and security challenges. To ensure accountability along with privacy, a key agreement scheme is proposed for fog supported IoT environment. The proposed scheme is competent in term of security and efficiency. The security proof is proclaimed using the widely recognized random oracle model, which indicates that the proposed scheme is provably secure under any probabilistic polynomial time adversary. Moreover, the comparative analysis of performances is also satisfactory.

Secure and Lightweight Fine-Grained Searchable Data Sharing for IoT-Oriented and Cloud-Assisted Smart Healthcare System

It is a new trend in healthcare informatization construction to build the smart healthcare system by using the Internet of Things (IoT) and cloud. This IoT-oriented and cloud-assisted healthcare system enables the doctor to monitor the patient’s health state to respond to the paroxysmal diseases in real time. Considering the sensitivity of the patient’s privacy, it is necessary to encrypt the cloud-stored health data to prevent the semi-trusted cloud and unauthorized users from accessing them. However, the encrypted health data stored in the cloud brings inconvenience to the retrieval for the data user. In addition, the expensive computational consumption also raises the challenge to the resource-constrained devices in the patient and doctor sides. To support efficient ciphertext retrieval and cope with the performance challenge, in this article we propose a lightweight attribute-based searchable encryption (LABSE) scheme, which realizes fine-grained access control and keyword search, while reducing the computational overhead for the resource-constrained devices. We rigorously prove the semantic security of the proposed LABSE scheme, and analyze other security properties to response the security requirements under the healthcare scenario. Subsequently, we construct a concrete deployment model for LABSE under the healthcare system. We also compare LABSE with the state-of-the-art related schemes in terms of functionality and complexity. Finally, we demonstrate the practicality and performance advantages by the experiment.

Significant Applications of Big Data in Industry 4.0

Industry 4.0 is being implemented with the help of advanced technologies. Big data, Artificial Intelligence (AI), Robotics, Internet of Things (IoT), Cloud computing, and 3D printing are the major technologies used to adopt Industry 4.0 successfully. Here, the study’s need is to discuss the major potential of big data for Industry 4.0. These technologies’ primary purpose is to collect the right data to solve the relevant issue during manufacturing and other required services. This technology plays a significant role in creating advancements in this fourth industrial revolution. Conclusively, big data applications are useful for in-process management and productivity improvement in the automation sector. Complex systems of drivers and intelligent sensors can be easily optimized based on information collected using this technology. Big data is the key to gain a competitive leap by reconnoitring the fundamental issues like deviations during the process, quality discriminations, and energy efficiency squander in a manufacturing process. The study discusses the significant applications of big data in Industry 4.0. For a proper surveillance system, industries need to have an immensely technical or personalized way, making big data a valuable source for predicting analysis and operation management based on market insight statistics or information. In upcoming days, big data will provide further advancement in Industry 4.0 and is supposed to play an efficient role in its successful adoption.

WITHDRAWN: Development of internet of things and cloud based applications using Kivy for mobile and smartphone integration

Abstract Now days, every business organization is striving for the development and delivery of their services using mobile apps. This approach allows for the wider coverage as well as worldwide connectivity of enterprise resources. An overview of this growing use of mobile applications distributes a range of software and library systems under numerous licences including proprietary, free and open source applications. These development interfaces provide programmers with user-friendly APIs for fast and productive programmes. The application programming interface. With the increased use of smartphone applications, new mobile apps for different applications and smartphones are expanding throughout the technology market.

Portable wireless node design for smart agricultural system based on Internet of Things

This paper presents a pair of portable wireless nodes for a smart agricultural system to control and monitor the agricultural parameters based on Internet of Things (IoT). This system utilizes low-cost wireless communication through an nRF24L01 module between the sensor node and the controller node. The sensor node is placed on the agricultural area with a Li-Ion battery as a power supply, while the controller node is placed at the control and monitoring station. On the sensor node, there is a YL-69 soil moisture sensor and DS18B20 temperature sensor, while in the controller node there is a relay that can set watering on/off condition. In the controller node, there is also an ESP8266 WiFi module that serves to send data to the internet cloud for user monitoring. Both hardware nodes are built in small and portable size. The experimental result shows that the sensor node can transmit soil moisture and temperature data via RF wireless communication to the controller node. Watering is done automatically based on the condition of sensor values. In addition, this system can also be monitored through a website interface, so the users can easily find out the condition of their plant as long as there is internet access.

A novel solution for counterfeit prevention in the wine industry based on IoT, smart tags, and crowd-sourced information

This paper describes a novel solution for counterfeit prevention and brand protection in the wine industry. The presented approach combines Internet of Things, Cloud, and Mobile technologies with the use of custom designed smart tags applied to each bottle of wine in order to provide food track and trace capabilities. The smart tags combine QR code with additional information printed with an invisible photochromatic ink. The tags are activated by flashlight on mobile devices during the scanning. Before scanning, users are prompted to select the context of the wine bottle (in store, sold, consumed) in order to provide additional information about each bottle as it moves through the supply chain. This information is used by the custom-made heuristic to help users and wine makers detect issues with individual instances of the product. The system was implemented as a pilot project that was executed during a period of 6 months. End users showed a great interest in the possibility to implement such a system, consumers liked the interaction with the product using the mobile app and smart tags, while wine makers expressed their interest in the solution. Besides counterfeit that affects profit, the benefits of such systems include improved brand protection and reduced risk of health hazards.

Encryption System for Hiding Information Based on Internet of Things

<p class="0abstract">One of the unexpected intelligence tactics known in World War II was to conceal the data in images that were reduced to the size of a point that was used in every text and transported in front of the enemy's eyes. In the new age, and after the expansion of Internet science and the use of the Internet worldwide, we will establish a security feature of the IOT service that will work more reliably and more effectively to deal with the Internet of Things and ensure the work of the services that the customer interacts with. A secret-key stenographic scheme that embeds four gray-scale secret size (128*128) pixel images into a size (512*512) pixel cover image in this work. Wavelet transform is the method used in this project to analyze the cover into its frequency components. In this work, combinations of steganography and cryptography were made to increase the level of safety and make the device more difficult for attackers to beat. The resulting stego-image that will be transmitted did not raise any suspicion by both objective and subjective evaluation, so the primary objective of Steganography is achieved. The proposed system was designed by using (MATLAB R2018b) and running on a Pentium-4 computer. The Internet of Things works with the encryption system for data in a synchronized manner with the technological development, and in order to maintain the stability of any Internet of things service, whether it is information signal services, visual or audio data, a remote control system, or data storage in the Internet cloud, we must focus on data preservation from internet pirates and internet system hackers. The picture Figure<strong> </strong>4 below shows the method of encryption and dealing with the Internet of things system..</p>

The utilization of algorithms for cloud internet of things application domains: a review

Cloud internet of things (IoT) is an emerging technology that is already impelling the daily activities of our lives. However, the enormous resources (data and physical features of things) generated from Cloud-enabled IoT sensing devices are lacking suitable managerial approaches. Existing research surveys on Cloud IoT mainly focused on its fundamentals, definitions and layered architecture as well as security challenges. Going by the current literature, none of the existing researches is yet to provide a detailed analysis on the approaches deployed to manage the heterogeneous and dynamic resource data generated by sensor devices in the cloud-enabled IoT paradigm. Hence, to bridge this gap, the existing algorithms designed to manage resource data on various CloudIoT application domains are investigated and analyzed. The emergence of CloudIoT, followed by previous related survey articles in this field, which motivated the current study is presented. Furthermore, the utilization of simulation environment, highlighting the programming languages and a brief description of the simulation packages adopted to design and evaluate the performance of the algorithms are examined. The utilization of diverse network communication protocols and gateways to aid resource dissemination in the cloud-enabled IoT network infrastructure are also discussed. The future work as discussed in previous researches, which pave the way for future research directions in this field is also presented, and ends with concluding remarks.

Portable Pen-Probe Analyzer Based on Ion Mobility Spectrometry for in Situ Analysis of Volatile Organic Compounds Emanating from Surfaces and Wireless Transmission of the Acquired Spectra.

The analysis of volatile organic compounds (VOCs) normally involves sample collection, sample transfer to laboratory, sample preparation, and the chromatographic separation of analytes. However, in some cases, it is impractical or impossible to collect samples prior to the analysis, while the analysis time has to be minimized. Ion mobility spectrometry (IMS) is an ideal technique for a rapid in situ chemical analysis. Here, we present a portable cloud-integrated pen-probe analyzer based on IMS and demonstrate its applications in the analysis of VOCs emanating from surfaces. The user approaches the pen-probe to a sampled surface and presses a button on the pen-probe. The analysis is then executed automatically. The VOCs are scavenged from the surface by a suction force and directed to a corona discharge atmospheric pressure chemical ionization source. The ions are separated in a drift tube according to their size and charge and then detected by a Faraday plate detector. The detector signal is amplified and digitized. The spectral data are deposited in the Internet cloud along with time and location data for further retrieval and processing. The platform incorporates a mobile Wi-Fi router for easy connectivity and a global positioning system module for geolocation. The prototype was developed using low-cost electronic modules (Arduino, Tinker Board S). It was further characterized using chemical standards. The limits of detection for pyrrolidine, 2,4-lutidine, and (-)-nicotine are 48.9, 2.30, and 416 nmol, respectively (amounts of substances placed on the sampling surface). The selected real specimens (nicotine patch, skin exposed to nicotine, fish sauce, and fried chicken) were also subjected to analysis yielding the characteristic ion mobility spectra.

The enabling technologies of industry 4.0: examining the seeds of the fourth industrial revolution

Abstract Technological revolutions mark profound transformations in socio-economic systems. They are associated with the development and diffusion of general-purpose technologies (GPTs) that display very high degrees of pervasiveness, dynamism and complementarity. This article provides an in-depth examination of the technologies underpinning the “factory of the future” as profiled by the Industry 4.0 paradigm. It contains an exploratory comparative analysis of the technological bases and the emergent patterns of development of Internet of Things, big data, cloud, robotics, artificial intelligence, and additive manufacturing. We qualify the “enabling” nature of these technologies. We then test whether, taken together and individually, they display the characteristics of generality, originality, and longevity associated with GPTs. Finally, we discuss key themes for future research on this topic from an industrial structural change perspective.

Involvement of Cloud Computing and IoT in the Field of Health Care

The rapid growth of the Internet of Things (IoT) and cloud computing is finding is a big part of our lifestyle, planning to upgrade personal satisfaction by partnering with various shrewd gadgets, innovations, and applications. Generally, the fields of IoT and cloud computing considers the mechanization of everything around the world. Presently scientists have discovered that there is a reasonably big utilization of IoT and cloud in the field of the health care industry. In between the panoply of uses empowered by the Internet of Things (IoT), brilliant and associated health care services play a significant role. The arrangement of network sensors, either exhausted on the body or incorporated into our living environment which makes the processing of information demonstrative of our physical and emotional well-being. Such data can achieve a positive disruptive shift in the human services, collected consistently, totaled, and adequately mined. This study exhibits the significance of the Internet of Things and Cloud in the field of the Healthcare Industry.

Bundelkhand Water Woes: Paradigm Shift is Needed in the Strategy

The Bundelkhand region of Uttar Pradesh, India, is a parched region. Although long-term average annual rainfall of the region is quite sufficient, yet, on a short-term basis, the region is experiencing a sharp negative deviation in rainfall. The region was once a densely forested area and was considered a cloud formation zone. The present analysis shows that the deviation in rainfall correlates with forest cover and calls for a paradigm shift in the region’s water resources management strategy to solve the region’s water woes in the coming years. The alternative strategy which may change the scenario includes increasing forest cover to mitigate negative deviation in rainfall, implementing group schemes of drip and sprinkler irrigation on a large scale, searching the alternative source of water by developing the integrated facilities to retrieve, treat, store and transport wastewater, enacting comprehensive central water law, improving water efficiency through the Internet of Things, cloud and sensor-based network and large-scale renovation of traditional water bodies as water sanctuaries for groundwater replenishment may change the scenario.

The Dilemma and Challenge of Plastic Art in the Age of Image

The progress and development of natural science in recent years brought with big data, artificial intelligence, Internet of things and cloud computing as a representative of the fourth industrial revolution for human society, human society further towards digitization, electronic image is changing the way people perceive, It is because of the change of observation method that the traditional plastic arts have fallen into a dilemma and anxiety. originally it must be through a lot of training and study hard in the day after tomorrow to the precision of plastic arts, now only need to print out the electronic image, by printing blue paper or coating the back of electronic manuscript with lead dust, tracing and rubbing the outline of the object on the front of the manuscript with a pen can get the outline of the object.Although such mechanized operation is convenient, but it caused the loss of works of art; We should be natural and mental harmony embodied in the picture, refused to the mind of draw on advantage, but in the face of technological progress and electronic image generalization, and realistic cost of the painting inspection, we should go to explore how to adapt to development, and can bring the results of rational utilization of science and technology, in the service of plastic arts and make corresponding contributions to the development of art;While using electronic images to paint, we also need to consider its copyright issues. The copyright of photographic works is generally not paid attention to in China. When arts use electronic images, these issues are urgently needed to be discussed and cannot be avoided, and the above issues are covered in this paper.

New approach in the applications and forensics of the networks of the internet of things based on the fog infrastructure using SDN

Ubiquitous computing with smart mobile devices, internet of things, virtualisation, cloud, and fog is changing yesteryears' static networks to dynamic networks of mobile smart devices. Fog computing is a pattern which expands cloud computing and the provision of related services to the network edge. Therefore, fog computing was recently introduced to provide storage and network services between end users and traditional cloud computing data centres. The present study aimed to consider the structure, architecture and applications of fog computing and analyse its differences and similarities with cloud computing, examine forensics in these networks and finally, present a new approach in this regard. This paper describes how the emerging technology - software defined networking (SDN) can be deployed a single infrastructure and leveraged to provide scalable flexible forensic solutions in this diverse and service providers/IT in a deal with the dynamic nature of today's networks attacks.

Reaching Consensus with Byzantine Faulty Controllers in Software‐Defined Networks

The combination of the Internet of Things (IoT) and Cloud computing are both popular applications that are based on the Internet. However, the traditional networking structure can no longer support the transmission of the huge number of packets required by cloud computing and IoT. Therefore, a new‐generation architecture, software‐defined networking (SDN), came into being. The new‐generation SDN can control routing through software, making flexible and convenient management a key feature of SDN. However, attacks and threats are prevalent in today’s networking environment. When an SDN controller encounters a hacker attack or virus infection, it will not function properly. Hence, we need to design a fault‐tolerant mechanism for the above environment. In this paper, a fault‐tolerant consensus protocol is proposed to improve the fault tolerance of SDNs with multiple controllers.

Manufacturing's roadmap for the internet of things and edge cloud computing

Manufacturing's roadmap for the internet of things and edge cloud computing