scholarly journals Revolution through Embedded Systems with Data Analytics

2020 ◽  
Vol 9 (1) ◽  
pp. 2206-2209
Keyword(s):  
Artificial Intelligence ◽  
Embedded System ◽  
Broad Spectrum ◽  
Data Analytics ◽  
Human Life ◽  
New Technology ◽  
Industrial Plant ◽  
Wide Range ◽  
Application Paper ◽  
Human Kind

Emerging theory of Embedded System, Internet-ofThings, Data Analytics and Artificial Intelligence open up broad spectrum to develop innovative applications and to make existing system more efficient. Advent of this new technology speeds up the race towards the automation in eavery aspects of human life. This paper provides a study of embedded system, microcontroller and sensors which can be used for developing such applications. With this study, survey of vital tools and technologies is also discussed and proposed for the development of IOT based application. Paper also provides a model to gather the data from an industrial plant on which data analytics can be done. This paper shows a wide range of IOT perspective for the design of embedded system by discussing research done in it and to use that theory to develop a product which can be helpful in society for the welfares of human kind.

scholarly journals Software and hardware infrastructure of a terrestrial autonomous platform with the elements of artificial intelligence.

2021 ◽  
Vol 1 ◽  
pp. 24-31
Author(s):  
S.I. Alpert ◽  
◽  
M.I. Alpert ◽  
P.Yu. Katin ◽  
N.O. Litvinova ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Embedded System ◽  
Programming Languages ◽  
Communication Channel ◽  
Raspberry Pi ◽  
Hardware Platform ◽  
Wide Range ◽  
Software And Hardware ◽  
The Embedded System ◽  
Client Side

Due to modern microcomputers and platforms based on microprocessors such as, for example, Raspberry Pi, Orange Pi, Nano Pi, Rock Pi, Banana Pi, Asus Tinker Board – the development of prototypes of em-bedded systems is possible in a «design» mode. The software part is implemented on the basis of operat-ing systems and standard technologies based on well-known programming languages such as C / C++, Python, C#, Java, etc. In such case the control channel for the embedded system can be either imple-mented via a web service separated by a communication channel or controlled independently. It is im-portant to understand that creating an embedded system on a standard platform is much more expensive than buying a ready-made mass-produced device with the same functionality. Therefore, it makes sense to use platforms like the Raspberry Pi mainly for individual artificial devices. If it is necessary to build a project of embedded systems and there is a problem with choosing a hardware platform for the client side, then currently there is a wide range of boards and solutions for building an efficient and inexpen-sive system using ready-made modules. The number of expansion cards and various sensors, video cam-eras, internet connection via Ethernet, Wi-Fi and Bluetooth provides a wide range of opportunities for building almost any solution based on this component base. The foundation can be made within a small budget, with minimal time spent, using large blocks and ready-made libraries for programming embed-ded systems. This article presents the results of research and development work on the creation of a software and hardware infrastructure of a terrestrial platform with the elements of artificial intelligence. Based on the actual results of the research, a deployment diagram and a component diagram of such an infrastructure have been constructed.

Firefighting Drones - A Safer & Efficient Technology to Confront Industrial Fires

2021 ◽  
Author(s):  
Mohamed Abdalla Almughani-Alnaqbi
Keyword(s):  
Artificial Intelligence ◽  
Oil And Gas ◽  
Fire Suppression ◽  
New Technology ◽  
Oil And Gas Industry ◽  
Fire Extinguisher ◽  
Efficient Technology ◽  
Oil Storage ◽  
Wide Range ◽  
Fire Location

Abstract Objectives/Scope This paper presents the variety of possibilities that this new technology can offer and how we can apply those technologies to optimize our HSE and take preventive measures that will be economically and humane solutions to crises. New technology, including Artificial Intelligence & Robots, does not necessarily mean it will replace human jobs and human judgment but will be used as tools to minimize hazards in critical situations and helps to solve the problems in a faster and efficient way. Methods, Procedures, Process The recommended technology to fight fire in hazardous zones can be described as a “firefighting drone.” This drone can be considered a faster and safer approach for fire suppression that can respond to any fire alarms and fly in narrow places inside the live plant, crude oil storage tanks, and navigate quickly to exact fire location without any fear of crashing it to anything and eliminates the risk of reaching high rise buildings where it is not secured and has low visibility. One such method is a firefighting drone that carries fire extinguisher balls, where it mainly consists of dry powders that contain melamine phosphate as an extinguishing component. This extinguishing ball works as a fire auto hydrant that is attached to the drone. This mechanism helps the drone carry the fire extinguisher balls to any place and throw the ball into the fire to suppress it. The main advantage of such fire extinguisher balls is its lightweight comparing to water, and it is environmentally safe and harmless to the human body if used in hazardous zones such as oil and gas plants. Results, Observations, and Conclusions Studies show that fire extinguisher balls have high extinguishing effectiveness and serve a wide range of applications. Results show that around 0.5 kg ball size has the ability to extinguish a 1-meter radius. This paper explains how easy its to build such a drone. However, due to the nature of this application using thermal resistance material is a must, and utilizing Artificial Intelligence will enhance the drone capabilities & will help to improve firefighting methodology. This type of drone is designed to be used in very high-temperature conditions and can be controlled safely from a ground station manually where you can see the fire location and assess the situation without the need to be there and wait for the fire team's presence. Novel/Additive Information With the use of the new lightweight fire extinguish ball, we can enhance the typical current firefighting method for small and medium-scale fire, where it puts out the fire faster & help us prevent it from growing to a more significant fire. The ultimate goal of this drone is to save the life of firefighters, plants, and equipment. Since the oil and gas industry is of high importance in the UAE, using proper and enhanced HSE measures will maintain our assets and avoid crises that will have a massive impact on business continuity.

scholarly journals Establishing Legal Rights and Liabilities for Artificial Intelligence

2018 ◽  
Vol 26 (1) ◽  
pp. 161
Author(s):  
Nur Adlin Hanisah Shahul Ikram ◽  
Mohd Yazid Zul Kepli
Keyword(s):  
Artificial Intelligence ◽  
Social Life ◽  
Human Life ◽  
New Technology ◽  
Rapid Development ◽  
Online News ◽  
Legal Rights ◽  
Extensive Literature ◽  
Automated Systems ◽  
And Robotics

The rapid development of technology has enabled the creation of artificial intelligence. Even the most vocal critics against artificial intelligence and automated systems acknowledge the tremendous benefits offered by this new technology as can be seen in various aspects of human life from trade and commerce, healthcare, safety and security, transportation to social life and beyond. At the same time, the spread of artificial intelligence, automated systems, and robotics poses an incredible risk to our jobs, privacy, safety, health and more. The purpose of this article is to understand the level of impact posed by artificial intelligence and to establish legal rights and liabilities for artificial intelligence. This article also analyzes the viewpoint of Islam on this phenomenon. This article is mostly library-based, benefitting from the extensive literature already available in international journals, books by scholars, and online news. In addition, this article also benefitted from interviews with scholars and experts on cybersecurity and artificial intelligence. The ultimate focus is on the possible recognition of artificial intelligence as a legal entity in its own right, capable of possessing rights and liabilities. The additional focus is on the Islamic perspective on the matter. This article shows that there is an urgent need to establish a uniformed minimum legal rights and liabilities for parties involved, including consumers, manufacturers, and designers, although such rights and liabilities can be tailored to fit the unique scenarios faced by the parties. This article reveals that Islam provides various useful guidelines on this modern and unique matter.

Data Encryption and Decryption Techniques for a High Secure Dataset using Artificial Intelligence

2020 ◽  
Vol 6 (1) ◽  
pp. CS-27-CS-37
Author(s):  
B. Herawan Hayadi ◽  
◽  
Edy Victor Haryanto ◽  
Keyword(s):  
Artificial Intelligence ◽  
Data Analysis ◽  
Data Analytics ◽  
New Technology ◽  
Economic Restructuring ◽  
Business Environment ◽  
Unstructured Data ◽  
Data Sets ◽  
Encryption And Decryption ◽  
Secure Data

The science of extracting patterns, trends, and actionable data analysis detail of large data sets. The growing existence of data in different county’s servers with structured, semi-structured, and unstructured data formats, such as the data. The demands of these are not met by conventional IT infrastructure, a modern landscape of "Data Analysis." For these reasons, several companies are turning to as a possible solution to this unmet commercial business, Hadoop (open-source projects). The amount of data collected by organizations, especially unstructured data, as businesses burst, Hadoop is increasingly emerging as one of the primary alternatives to store and execute operations on that data. The secondary question of data analysis is defense, the rapid increase in internet use, the dramatic shift in acceptance of people who use social media apps that allow users to generate content freely and intensify the already enormous amount of the site. In today's firms, there are a few stuff to bear in mind when starting innovation ventures for big data and analytics. In the business environment, the need for secure data analytics tools is mandatory. In the previous paper, they implemented a high profile dataset using the encryption technique. Using only the encryption method, cannot secure data very highly. There is a chance of knowing the original data to the third party. To reduce the above issues, the paper introduces a new technology called “Artificial intelligence". Using this new technology, paper can achieve more security for data sets. Using both encryption and decryption models in artificial intelligence can solve the drawback in an existing paper. This will provide the data with either a significant degree of authentication analyzed to ever be. The provision of data analytics is pursued with attribute-based restricts Data extraction allows enabled. This model will work better than the present model. In both security and sensitive economic restructuring, data analytical tools.

scholarly journals Artificial Intelligence: Learning and Limitations

2020 ◽  
Vol 17 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Human Life ◽  
New Technology ◽  
Development History ◽  
Adversarial Examples ◽  
Real Value ◽  
Artificial Neural

Artificial Intelligence, IA, is a new technology with enormous potential to change the world forever as we know it. It finds applications in many fields of human activity, including services, industry, education, social networks, transportation, among others. However, there is little discussion about the accuracy and reliability of such technology, which has been used in situations where human life depends on its decision-making process, which is the result of its training, one of the stages of development. It is known that the learning process of an Artificial Intelligence, which can use the Artificial Neural Networks technology, presents an error of the predicted value in relation to the real value, which can compromise its application, being more critical in situations where the user's security is a major issue. In this article, we discuss the main technologies used in AI, their development history, considerations about Artificial Neural Networks and the failures arising from the training and hardware processes used. Three types of errors are discussed: The Adversarial Examples, the Soft Errors and the Errors due the lack of Appropriate Training. A case study associated with the third type of error is discussed and actions based on Design of Experiments are proposed. The objective is to change the way the AI models are trained, to add some rare conditions, and to improve their ability to forecast with greater accuracy in any situation

scholarly journals ANALYSIS OF THE VULNERABILITIES OF UNMANNED AERIAL VEHICLES TO CYBER ATTACKS

2021 ◽  
Vol 18 (2) ◽  
pp. 17-26
Author(s):  
Grigore Eduard JELER ◽  
◽  
Gelu ALEXANDRESCU ◽  
Keyword(s):  
Artificial Intelligence ◽  
Unmanned Aerial Vehicles ◽  
Human Life ◽  
Cyber Attacks ◽  
Unmanned Aircraft ◽  
Military Operations ◽  
Aerial Vehicles ◽  
Wide Range ◽  
Human Operators ◽  
Hybrid Actors

Recently, the use of unmanned aerial vehicles (UAVs), also known as drones, has increased significantly and the technical advencements in the field have led to new possibilities in several fields, both military and civilian. Air drones help reduce human life risks and costs, and can be used to carry out dangerous and costly missions by replacing human operators. Unmanned aircraft have a wide range of use, from entertainment for enthusiasts to military operations. Large investments, especially in the field of robotics, electronic miniaturization, sensors, network communication, information technology and artificial intelligence help to accelerate and diversify areas of use. The operation of unmanned systems and the applications that use these systems depend, to a large extent, on the cyber systems that are used for data collection, storage, processing and communication. However, these systems also have certain vulnerabilities, which has led various (state or non-state) hybrid actors to develop methods of conducting cyber attacks on drones.

scholarly journals Various Real Time Chat Bots and Their Applications in Human Life

2019 ◽  
Vol 8 (4) ◽  
pp. 3461-3467
Keyword(s):  
Artificial Intelligence ◽  
Business Education ◽  
Speech Synthesis ◽  
Human Life ◽  
New Technology ◽  
Dialogue Management ◽  
Survey Paper ◽  
History Of ◽  
Customer Services ◽  
Virtual Assistance

Chatbots are also referred to as virtual assistance devices. They are the basic forms of artificial intelligence software that can imitate human conversations. Chatbots are relatively a new technology. The main goal of this survey paper is to provide the information about the various existing chatbots and their history of evaluation, and the applications of various chatbots in different domains. Chatbots are applied in fields like medical, E-commerce, business, education, banking, customer services, entertainment, etc. Chatbots cab be analyzed and improved. Main goal of any chatbot is to allow the user to make a natural conversation with machine. A conversational system consists of dialogue management, speech recognition, speech synthesis and conversation generation.

Microfabrication research at the National Submicron Facility

1983 ◽  
Vol 41 ◽  
pp. 86-89
Author(s):  
E.D. Wolf
Keyword(s):  
Integrated Circuits ◽  
Particle Physics ◽  
High Speed ◽  
New Technology ◽  
High Energy ◽  
High Energy Particle ◽  
New Science ◽  
Wide Range ◽  
Intermediate Domain ◽  
Circuit Function

Most microelectronics devices and circuits operate faster, consume less power, execute more functions and cost less per circuit function when the feature-sizes internal to the devices and circuits are made smaller. This is part of the stimulus for the Very High-Speed Integrated Circuits (VHSIC) program. There is also a need for smaller, more sensitive sensors in a wide range of disciplines that includes electrochemistry, neurophysiology and ultra-high pressure solid state research. There is often fundamental new science (and sometimes new technology) to be revealed (and used) when a basic parameter such as size is extended to new dimensions, as is evident at the two extremes of smallness and largeness, high energy particle physics and cosmology, respectively. However, there is also a very important intermediate domain of size that spans from the diameter of a small cluster of atoms up to near one micrometer which may also have just as profound effects on society as “big” physics.

Management of Economics and State "Bottom"

2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Probabilistic Models ◽  
Human Life ◽  
Special Software ◽  
Human Quality ◽  
Relationship Of ◽  
The Relationship

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.

Ochrona dziedzictwa kulturowego a działania na dużych szybkozmiennych zbiorach danych – perspektywa kryminologiczna

2019 ◽  
pp. 5-22
Author(s):  
Szymon Buczyński
Keyword(s):  
New Technology ◽  
Big Data Analytics ◽  
Technological Innovations ◽  
Cultural Organizations ◽  
Econometric Methods ◽  
The Arts ◽  
Huge Data ◽  
Wide Range ◽  
Share Data ◽  
Processing Techniques

Recent technological revolutions in data and communication systemsenable us to generate and share data much faster than ever before. Sophisticated data tools aim to improve knowledge and boost confdence. That technological tools will only get better and user-friendlier over the years, big datacan be considered an important tool for the arts and culture sector. Statistical analysis, econometric methods or data mining techniques could pave theway towards better understanding of the mechanisms occurring on the artmarket. Moreover crime reduction and prevention challenges in today’sworld are becoming increasingly complex and are in need of a new techniquethat can handle the vast amount of information that is being generated. Thisarticle provides an examination of a wide range of new technological innovations (IT) that have applications in the areas of culture preservation andheritage protection. The author provides a description of recent technological innovations, summarize the available research on the extent of adoptionon selected examples, and then review the available research on the eachform of new technology. Furthermore the aim of this paper is to explore anddiscuss how big data analytics affect innovation and value creation in cultural organizations and shape consumer behavior in cultural heritage, arts andcultural industries. This paper discusses also the likely impact of big dataanalytics on criminological research and theory. Digital criminology supports huge data base in opposition to conventional data processing techniques which are not only in suffcient but also out dated. This paper aims atclosing a gap in the academic literature showing the contribution of a bigdata approach in cultural economics, policy and management both froma theoretical and practice-based perspective. This work is also a startingpoint for further research.

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