scholarly journals Trends in Development and Integration of ITS

2020 ◽  
Vol 66 (3) ◽  
pp. 33-40
Author(s):  
Gordana Radivojević ◽  
Gorana Šormaz ◽  
Bratislav Lazić

ITS applications are used in different traffic and transportation segments and enable processes automatization, acquizition and processing of large amounts of data, real time monitoring and control, providing services to clients etc. The main aims of the ITS introduction are the improvement of the trafic and transportation system functioning and of the provided services for clients. The ICT development has enabled the usage of the large number of smart devices, which can generate different characteristics of physical objects and exchange data with other devices and systems. This has led to the IoT concept in which the intelligent management of physical objects, based on processing and analyse of the large amounts of data, is possible. The aim of this paper is the review of the latest trends in the ITS systems’ development in the context of new technologies, social changes and users’ requests. In the paper there are described the ITS, the IoT and the Big Data analytics, which enable the intelligent transport services provided to the clients.

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Shyr-Long Jeng ◽  
Wei-Hua Chieng ◽  
Yi Chen

Advances in conventional industrial controllers have led to new technologies such as multilanguage use, cross-platform applications, and remote monitoring and control. However, the human-machine interfaces (HMIs) of conventional industrial controllers and mobile devices cannot directly transmit instant messages to each other. This study describes a simple method of upgrading the HMIs of conventional industrial controllers into controllers capable of Web-based remote access. The study began with the development of a model-view-controller architecture consisting of Hypertext Markup Language, Cascading Style Sheets, and JavaScript and proceeded to the implementation of a single-page application (SPA) method through AJAX and WebSocket, which communicates with the back-end Node.js server to transfer data. Future advancements will enable information to flow through cross-platform devices across various operating systems and Web browsers, allowing users to remotely monitor and control machines from mobile smart devices. We demonstrated the simplicity of the SPA method by transforming a conventional personal computer-based industrial controller, WINPC32, to an all-purpose Web-based HMI for industrial use with the graphic user interface software, GPX.


Water Policy ◽  
2015 ◽  
Vol 18 (1) ◽  
pp. 111-125 ◽  
Author(s):  
David Sanz ◽  
Alfonso Calera ◽  
Santiago Castaño ◽  
Juan José Gómez-Alday

Water in sufficient amounts and quality is essential for meeting both human and ecological needs. Most water used by mankind is destined for agriculture, and demand is steadily growing. Under this pressure, water management faces significant environmental problems. In the case of groundwater, these difficulties are exacerbated by intensive, unregulated exploitation, and the spatial distribution of wells. Challenges to current water management therefore encompass multiple levels (environmental, technological, social, economic, and political), and their solution requires focus and a range of spatial and temporal scales to ensure integrated water resource management. Knowledge, participation and transparency are all crucial to help in conflict prevention and resolution. New challenges require new technologies that can help to resolve them. This paper analyses how the coordinated use of new technologies provides important results to support decision-making in planning and water management in irrigated agriculture. This case study is especially applicable to groundwater management in large areas where conventional planning, monitoring and control methods are extremely expensive and imprecise. The specific case of the Mancha Oriental Aquifer (SE Spain) is examined as it is an area where such conventional methods have proven to be inadequate.


2021 ◽  
Vol 5 (1) ◽  
pp. 6
Author(s):  
Suriya Priya R. Asaithambi ◽  
Sitalakshmi Venkatraman ◽  
Ramanathan Venkatraman

With the advent of the Internet of Things (IoT), many different smart home technologies are commercially available. However, the adoption of such technologies is slow as many of them are not cost-effective and focus on specific functions such as energy efficiency. Recently, IoT devices and sensors have been designed to enhance the quality of personal life by having the capability to generate continuous data streams that can be used to monitor and make inferences by the user. While smart home devices connect to the home Wi-Fi network, there are still compatibility issues between devices from different manufacturers. Smart devices get even smarter when they can communicate with and control each other. The information collected by one device can be shared with others for achieving an enhanced automation of their operations. This paper proposes a non-intrusive approach of integrating and collecting data from open standard IoT devices for personalised smart home automation using big data analytics and machine learning. We demonstrate the implementation of our proposed novel technology instantiation approach for achieving non-intrusive IoT based big data analytics with a use case of a smart home environment. We employ open-source frameworks such as Apache Spark, Apache NiFi and FB-Prophet along with popular vendor tech-stacks such as Azure and DataBricks.


Author(s):  
Naveed Shahzad

Stroke is a medical condition that is the fifth cause of death and a leading cause of disability. The different reasons for stroke are high B.P, obesity, smoking, etc. recovery can only be sped up by regular physiotherapy and willpower of the patient. Regular physiotherapy can be interrupted by other commitments of the patient or by the doctor's unavailability. This may lead to a delay in the recovery process. Therefore, the efforts are needed to tackle the problem. The proposed device can be used to monitor and carry out selected exercises advised by the doctor. Here the upper right limb is our focus because it is the most common area to be affected. Furthermore, android application is also designed which have different consoles for doctor and patient. The patient’s app shows the history and progress of the patient while the doctor sets the time and can also see the progress. Firstly, the unit tracks finger and wrist movements and the signal strength of the muscles being exercised, and then performs assisted flexion / extension manipulation of the limb. The results are shown in the app using the graphs so that the patient and the doctor can both monitor the progress. Thus, this design gives ease to the patient as well as the doctor. With the world shifting towards smart devices and remote monitoring and control, there is a need to apply modern technology in the health dept. using the platform of IOT, certain medical treatments can be made easier for the doctors and effective for the patients. By using different sensors, a microcontroller, Arduino software, mobile application, the patient’s physiotherapy exercises can be monitored, recorded and assisted.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3961 ◽  
Author(s):  
Luis Gomes ◽  
Filipe Sousa ◽  
Zita Vale

The massive dissemination of smart devices in current markets provides innovative technologies that can be used in energy management systems. Particularly, smart plugs enable efficient remote monitoring and control capabilities of electrical resources at a low cost. However, smart plugs, besides their enabling capabilities, are not able to acquire and communicate information regarding the resource’s context. This paper proposes the EnAPlug, a new environmental awareness smart plug with knowledge capabilities concerning the context of where and how users utilize a controllable resource. This paper will focus on the abilities to learn and to share knowledge between different EnAPlugs. The EnAPlug is tested in two different case studies where user habits and consumption profiles are learned. A case study for distributed resource optimization is also shown, where a central heater is optimized according to the shared knowledge of five EnAPlugs.


1996 ◽  
Vol 06 (01) ◽  
pp. 77-96 ◽  
Author(s):  
ALAN COVER ◽  
JAMES RENEKE ◽  
MICHAEL FRYER ◽  
SUZANNE LENHART ◽  
VLADIMIR PROTOPOPESCU

A monitor or controller is smart provided that the device is equipped with local computational resources for analyzing data, detecting changes, and making decisions. The problem for the monitoring function is to design algorithms to flag model shifts for dynamic systems in a context requiring many interacting system components and system reconfigurations. The problem for the control function is to improve system performance by updating control feedbacks after the model shift has been detected. Therefore it is desirable that smart monitors and controllers be adaptive and update with minimal intervention from a central director. We present here an approach to designing smart monitoring and control devices based on a stochastic linearization of the system whose dynamics is noisy and unknown. This linearization is obtained by factoring the discrete system covariance matrix, estimated from observations, and applying reproducing kernel Hilbert space techniques. The method is nonparametric which allows the smart devices to operate with only a low level logic.


Author(s):  
Randy Penney ◽  
Hugh Flesher

Background: Line break controls developed to date have provided the Pipeline Industry with the best protection available with proven and available technologies. There have been shortcomings in line break control due to various factors including; lack of accurate pressure history at the valve sites creating uncertainty for proper set points and limitations in the flexibility of mechanical systems. Safety: Providing pipeline safety through a line break detection system is critically important for the protection of people, property, and the environment. Safer procedures are available through continuous pipeline monitoring. Application of new technology: Increased availability of “smart” pressure sensors offers a greater degree of accuracy and control. Real time communication for data collection and system configuration (operating data, alarm status and settings, valve status) or remote operation (valve closures or line break override) provides increased control over pipeline operations. Real time information allows continuous monitoring and control. This can be provided through commercially available networks, hence providing economical and reliable methods of communication. Data acquisition through Windows based software allows the user to accumulate, sort, and analyze the data. Overview: Industry requires the ability to monitor pipeline pressures and pipeline rate of pressure change. Industry requires accuracy, reliability, and real time access for controlling valves, while minimizing the occurrences of false valve closures. The pipeline and gas transmission industry is growing, with increasing demands for safe, reliable, and efficient operating systems. New technologies are capable of providing solutions for the Pipeline Industry’s needs. Solutions: A self-contained electronic system, purpose built for the gas pipeline industry is available. The equipment continuously monitors the pipeline, measures pipeline pressures, and calculates pressure changes so that, in the case of a pipeline failure, a command is sent to the actuator to stroke the valve to the fail safe position. The equipment is accessible locally or remotely via SCADA or telemetry to acquire and analyze pipeline conditions on a real time basis, and control the actuator. The equipment is low power consumption suitable for external line power, or is available with solar panels and rechargeable batteries. The equipment continuously gathers information and provides history for pipeline operators. This allows the optimization of set points, with time delays and averaging, to minimize false trips. Windows based software enables ease of use. Owner can set alarm parameters that are protected through password authorization. Summary: Electronic Linebreak Detection Systems are able to provide the flexibility, reliability and responsiveness necessary to meet the growing safety and efficiency demands of the Pipeline Industry. Current technology provides this capability.


2020 ◽  
Vol 4 (1) ◽  
pp. 45-73 ◽  
Author(s):  
Tereza Kuldova

Artificial intelligence, deep learning and big data analytics are viewed as the technologies of the future, capable of delivering expert intelligence decisions, risk assessments and predictions within milliseconds. In a world of fakes, they promise to deliver ‘hard facts’ and data-driven ‘truth’, but their solutions resurrect ideologies of purity, embrace bogus science reminiscent of the likes of anthropometry, and create a deeply paranoid world where the Other is increasingly perceived either as a threat or as a potential imposter, or both. Social sorting in the age of intelligent surveillance acquires a whole new meaning. This article explores the possible effects of algorithmic governance on society through a critical analysis of the figure of the imposter in the age of intelligent surveillance. It links a critical analysis of new technologies of surveillance, policing and border control, to the extreme ethnographic example of paranoia within outlaw motorcycle clubs – organizations that are heavily targeted by new and old modes of policing and surveillance, while themselves increasingly embracing the very same logic and technologies themselves. With profound consequences. The article shows how in the quest for power, order, profit, and control, we are sacrificing critical reason and risk becoming as a society not unlike the paranoid criminal organizations.


1993 ◽  
Author(s):  
C. Paul Furniss

During the next decade there will be growing pressures placed upon the manufacturers of gas turbines to produce more operationally efficient engines. There are two main end-use groupings for gas turbines. The parameters for efficiency may prove to be quite different for these end-use groups, requiring a separate emphasis for engineering design. With respect to aircraft propulsion gas turbines, the efficiencies may tend towards greater fuel economy and unit power outputs. In contrast to this the ground based gas turbine units may require increased unit power output but be restricted by the tightening emission requirements being dictated by international pollution laws. One of the key areas of focus for engineering design, in order to satisfy such performance demands, is that of improved operational control of the turbine. The process variables requiring accurate, reliable and repeatable monitoring and control include rotational speed, linear speed, pressure, mass flow rate and temperature. Whilst all of these phenomena require correct control, it may be argued that temperature is of extreme importance for both an operational efficiency and safety viewpoint. This paper will attempt to explore the problems associated with conventional methods of gas turbine temperature measurement and discuss possible solutions using novel new technologies that will allow the earlier realisation of these efficiency goals.


Author(s):  
Brian A. Weiss ◽  
Philip Freeman ◽  
Jay Lee ◽  
Radu Pavel

The age of Smart Manufacturing has arrived where more and more organizations are embracing it to innovate and maintain their competitiveness. Smart Manufacturing blends information technology (IT) with operations technology (OT) to enable greater productivity, efficiency, quality, and customization within factory operations. More specifically, emerging and existing factory-floor level technologies (including robotics, machine tools, additive processes, automation, and sensors) are being fused with networking (both wired and wireless) and analysis technologies to generate more timely, accurate, and appropriate communication. This communication directly enables more intelligent sensing, monitoring, and control of the overall manufacturing system, including its constituent processes and sub-systems. Organizations that are adopting a smart manufacturing approach have become more flexible and adaptive to address changing customer demands, integrate new technologies, mitigate supply chain disruptions, and better utilize their human workforce. Prognostics and Health Management (PHM), in the context of Smart Manufacturing, focuses on the technologies and capabilities that enable health monitoring, diagnostics, and prognostics to promote greater intelligence in maintenance and control activities.


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