scholarly journals Prediction of a Ship’s Operational Parameters Using Artificial Intelligence Techniques

2021 ◽  
Vol 9 (6) ◽  
pp. 681
Author(s):  
Kiriakos Alexiou ◽  
Efthimios G. Pariotis ◽  
Theodoros C. Zannis ◽  
Helen C. Leligou
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
New Technologies ◽  
Operating Costs ◽  
Maritime Industry ◽  
Data Logging ◽  
K Nearest Neighbor ◽  
Operational Parameters ◽  
Maximum Absolute Error ◽  
Regression Algorithms

The maritime industry is one of the most competitive industries today. However, there is a tendency for the profit margins of shipping companies to reduce due to an increase in operational costs, and it does not seem that this trend will change in the near future. The most important reason for the increase in operating costs relates to the increase in fuel prices. To compensate for the increase in operating costs, shipping companies can either renew their fleet or try to make use of new technologies to optimize the performance of their existing one. The software structure in the maritime industry has changed and is now leaning towards the use of Artificial Intelligence (AI) and, more specifically, Machine Learning (ML) for calculating its operational scenarios as a way to compensate the reduction of profit. While AI is a technology for creating intelligent systems that can simulate human intelligence, ML is a subfield of AI, which enables machines to learn from past data without being explicitly programmed. ML has been used in other industries for increasing both availability and profitability, and it seems that there is also great potential for the maritime industry. In this paper the authors compares the performance of multiple regression algorithms like Artificial Neural Network (ANN), Tree Regressor (TRs), Random Forest Regressor (RFR), K-Nearest Neighbor (kNN), Linear Regression, and AdaBoost, in predicting the output power of the Main Engines (M/E) of an ocean going vessel. These regression algorithms are selected because they are commonly used and are well supported by the main software developers in the area of ML. For this scope, measured values that are collected from the onboard Automated Data Logging & Monitoring (ADLM) system of the vessel for a period of six months have been used. The study shows that ML, with the proper processing of the measured parameters based on fundamental knowledge of naval architecture, can achieve remarkable prediction results. With the use of the proposed method there was a vast reduction in both the computational power needed for calculations, and the maximum absolute error value of prediction.

scholarly journals Accounting Practice and Intelligent Technologies

2012 ◽  
Author(s):  
Daniela Postolache (Males)
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Technology Management ◽  
Intelligent Systems ◽  
New Technologies ◽  
Accounting Information ◽  
Qualitative Approach ◽  
Information Technology Management ◽  
Accounting Practice ◽  
Area Of Interest

was to determine how intelligent technologies can support accounting practice. Our research allowed for establishment of accounting information intelligent systems typology and for placement of these solutions in the sphere of artificial intelligence applications. It is underlined the intelligent technologies contribution to improve accounting processes and activities, in a qualitative approach, from the hermeneutic perspective. The results of our research are useful for researchers in the fields of applied accounting, intelligent systems for accounting, information technology management. Also, our study is useful in the activity of accounting experts, given the presentation of new technologies used in their area of interest.

scholarly journals Artificial Intelligence in Politics, Media and Public Administration: Reflections on the Thematic Portfolio

2020 ◽  
Vol 4 (2) ◽  
pp. 3-9
Author(s):  
Sergey Fedorchenko
Keyword(s):  
Artificial Intelligence ◽  
Political Science ◽  
Public Administration ◽  
Soft Power ◽  
Intelligent Systems ◽  
New Technologies ◽  
Scientific Discourse ◽  
Political Regime ◽  
Political Agenda ◽  
The Political

The issue «Artificial Intelligence in the Sphere of Politics, Media Space and Public Administration» was conceived after updating the topic of artificial intelligence in the socio-political and value sphere at several scientific events organized by the Department of History, Political Science and Law of Moscow Region State University: Scientific and Public Forum «Values and artificial intelligence» (10.11.2019) and the round table «Ethics and artificial intelligence» (04.16.2019). This issue includes works devoted to the issues of the practice of artificial intelligence in public administration, public policy and other fields. The authors also touched on the nuances of scientific discourse and futorology. The compiler of the issue is Candidate of Political Sciences, associate professor Fedorchenko Sergey Nikolaevich. Artificial intelligence technologies are a pretty debatable topic. Artificial intelligence technologies are a pretty debatable topic. Currently, political leaders, scientists and members of the public are actively discussing the problems of artificial intelligence related to the following aspects: new opportunities for political communication; media policy, mediation of the political sphere; axiological policy; social networks, bots; government departments; opportunities and limitations of new technologies in political analysis; the importance of intelligent systems for democracy and democratic procedures; threats of cyber autocracy; legitimacy of the political regime and national security; political values, political propaganda, frames, political myths, stereotypes, «soft power», «smart power»; digital diplomacy; the risks of media manipulation, information wars, the formation of a political agenda; experience of using intelligent systems in the organization of high-quality communication between society and the state. The theme of the issue is extremely relevant for modern academic political science. artificial intelligence, digitalization, political science, scientific discourse, futorology, state, democracy, manipulation, political communications. The issue is aimed at specialists, political scientists, graduate students and all those who are interested in this difficult issue in an interdisciplinary manner.

scholarly journals DIGITAL TRANSFORMATION OF THE MANAGEMENT ORGANIZATIONAL STRUCTURE OF A PRODUCTION ENTERPRISE

2021 ◽  
Vol 23 (2) ◽  
pp. 46-50
Author(s):  
A.V. Ivaschenko ◽  
◽  
T.V. Nikiforova ◽  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
New Technologies ◽  
Cyber Physical Systems ◽  
Information Environment ◽  
Organizational System ◽  
Physical Systems ◽  
Optimal Replacement ◽  
Proposed Model ◽  
Digital Enterprise

The article discusses the problem of finding a rational share of artificial intelligence in the organizational system of a manufacturing enterprise. An original formal-logical model of a mixed integrated information environment of a digital enterprise is proposed, which differs from analogues in the possibility of an ontological description of the processes of interaction between personnel and artificial intelligence systems. On the basis of the proposed model, a technique has been developed for the optimal replacement of staffing for cyber-physical systems with artificial intelligence components, which allows balancing the load of human resources and intelligent systems. The proposed developments can be applied in the organization of the production process of enterprises for planning and management, as well as the introduction of new technologies and artificial intelligence. Research results are recommended under the framework of implementation of the concept of Industry 4.0 for modern enterprises of industrial engineering.

The Importance of effective Cylinder Oil condition monitoring in Two-Stroke, Slow Speed, Diesel engines

2015 ◽  
Author(s):  
Cristiano Garau
Keyword(s):  
Condition Monitoring ◽  
Diesel Engines ◽  
New Technologies ◽  
Unintended Consequences ◽  
Fuel Quality ◽  
Maritime Industry ◽  
Operational Parameters ◽  
Slow Speed ◽  
Severe Reduction ◽  
Set Up

The maritime industry is currently going through a significant number of changes due to the introduction of tighter emission regulations. A stronger awareness in preserving the environment has pushed forward more stringent IMO (International Maritime Organization) legislation that imposes on ship owners and managers the use of new technologies which affect the day by day running of the vessel, starting with the choice of fuel, through changes in the engine operational parameters, and culminating in a severe reduction in allowable exhaust emissions. These changes combined with a volatile fuel market, high competition in cargo rates, the pressure to reduce operating costs and the introduction of new technological advancements have brought the industry into uncharted operational territories, abandoning the ‘comfort zone’ that has been enjoyed in the last twenty years or so. The present changeable environment has a significant impact in the way two-stroke, slow speed, diesel engines are managed, introducing new challenges for different fuel types, different lubricants and ancillary equipment required to meet the new requirements. Field experience has shown that all these factors can lead to unintended consequences, including engine damage caused by poor fuel quality, lack of training/knowledge of the operators, incorrect lubrication choice and poor set up. This paper discusses how the combination of offline and online condition monitoring techniques, both on-board and on-shore, can be successfully used to prevent engine damage and avoid unplanned maintenance costs due to downtime.

scholarly journals Theory and practice in artificial intelligence

2019 ◽  
Vol 89 (4) ◽  
pp. 365-370
Author(s):  
I. A. Sokolov
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Intelligent Systems ◽  
Description Logic ◽  
New Technologies ◽  
Machine Intelligence ◽  
Theory And Practice ◽  
Experimental Science ◽  
Mathematical Methods ◽  
Interdisciplinary Field

Artificial Intelligence is an interdisciplinary field, and formed about 60 years ago as an interaction between mathematical methods, computer science, psychology, and linguistics. Artificial Intelligence is an experimental science and today features a number of internally designed theoretical methods: knowledge representation, modeling of reasoning and behavior, textual analysis, and data mining. Within the framework of Artificial Intelligence, novel scientific domains have arisen: non-monotonic logic, description logic, heuristic programming, expert systems, and knowledge-based software engineering. Increasing interest in Artificial Intelligence in recent years is related to the development of promising new technologies based on specific methods like knowledge discovery (or machine learning), natural language processing, autonomous unmanned intelligent systems, and hybrid human-machine intelligence.

scholarly journals High-Tech Defense Industries: Developing Autonomous Intelligent Systems

2021 ◽  
Vol 11 (11) ◽  
pp. 4920
Author(s):  
João Reis ◽  
Yuval Cohen ◽  
Nuno Melão ◽  
Joana Costa ◽  
Diana Jorge
Keyword(s):  
Artificial Intelligence ◽  
Cold War ◽  
Intelligent Systems ◽  
New Technologies ◽  
Defense Industry ◽  
Cognitive Tasks ◽  
High Tech ◽  
Human Beings ◽  
Autonomous Decision ◽  
The Cold War

After the Cold War, the defense industries found themselves at a crossroads. However, it seems that they are gaining new momentum, as new technologies such as robotics and artificial intelligence are enabling the development of autonomous, highly innovative and disruptive intelligent systems. Despite this new impetus, there are still doubts about where to invest limited financial resources to boost high-tech defense industries. In order to shed some light on the topic, we decided to conduct a systematic literature review by using the PRISMA protocol and content analysis. The results indicate that autonomous intelligent systems are being developed by the defense industry and categorized into three different modes—fully autonomous operations, partially autonomous operations, and smart autonomous decision-making. In addition, it is also important to note that, at a strategic level of war, there is limited room for automation given the need for human intervention. However, at the tactical level of war, there is a high probability of growth in industrial defense, since, at this level, structured decisions and complex analytical-cognitive tasks are carried out. In the light of carrying out those decisions and tasks, robotics and artificial intelligence can make a contribution far superior to that of human beings.

scholarly journals Digital Health Technologies and Artificial Intelligence in the Islamic World: Embracing the Evolution in Healthcare

2021 ◽  
Vol 6 ◽  
Author(s):  
Muhammad Salman Khan ◽  
Hinna Nayab
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
New Technologies ◽  
Wide Spectrum ◽  
Digital Health ◽  
Economic Status ◽  
Healthcare Systems ◽  
Medical Data ◽  
Disease Prediction ◽  
Health Technologies

Health and Healthcare have been highly impacted by the global technological revolution resulting in more intelligent systems, optimised hospital workflows, disease prediction and analytics, precision medicine and personalised patient experience. Digital health offers a wide spectrum with artificial intelligence at the far-end having a significant influence on the healthcare systems and medical practice. Artificial intelligence makes sense of the large volumes of medical data through efficient algorithms, thus transforming healthcare systems. But, has the Muslim world been up to date with the advancements in healthcare? This detailed study presents the importance of adopting and adapting to the new technologies in the field of medicine, taking into consideration that Muslim scientists were, in fact, pioneers in the field, carving new medical techniques. The significance of digital health technologies and artificial intelligence in healthcare is also supported by various issues in Muslim societies related to cross-gender patient-doctor interactions, lack of resources, inefficient healthcare systems, and poor socio-economic status. This study concludes with examples of research studies being carried out in the fields of cardiology, haematology, and radiology where algorithms and systems are developed that enable physicians to perform their job with more ease and higher precision.

Artificial intelligence as a moving force of improvement and innovative development in education and pedagogic

2019 ◽  
pp. 21-30
Author(s):  
M. G. Koliada ◽  
T. I. Bugayova
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Interaction Analysis ◽  
Educational Data Mining ◽  
Main Task ◽  
Intellectual System ◽  
Will Force ◽  
To Come ◽  
Artificial Intelligence Systems

The article discusses the history of the development of the problem of using artificial intelligence systems in education and pedagogic. Two directions of its development are shown: “Computational Pedagogic” and “Educational Data Mining”, in which poorly studied aspects of the internal mechanisms of functioning of artificial intelligence systems in this field of activity are revealed. The main task is a problem of interface of a kernel of the system with blocks of pedagogical and thematic databases, as well as with the blocks of pedagogical diagnostics of a student and a teacher. The role of the pedagogical diagnosis as evident reflection of the complex influence of factors and reasons is shown. It provides the intelligent system with operative and reliable information on how various reasons intertwine in the interaction, which of them are dangerous at present, where recession of characteristics of efficiency is planned. All components of the teaching and educational system are subject to diagnosis; without it, it is impossible to own any pedagogical situation optimum. The means in obtaining information about students, as well as the “mechanisms” of work of intelligent systems based on innovative ideas of advanced pedagogical experience in diagnostics of the professionalism of a teacher, are considered. Ways of realization of skill of the teacher on the basis of the ideas developed by the American scientists are shown. Among them, the approaches of researchers D. Rajonz and U. Bronfenbrenner who put at the forefront the teacher’s attitude towards students, their views, intellectual and emotional characteristics are allocated. An assessment of the teacher’s work according to N. Flanders’s system, in the form of the so-called “The Interaction Analysis”, through the mechanism of fixing such elements as: the verbal behavior of the teacher, events at the lesson and their sequence is also proposed. A system for assessing the professionalism of a teacher according to B. O. Smith and M. O. Meux is examined — through the study of the logic of teaching, using logical operations at the lesson. Samples of forms of external communication of the intellectual system with the learning environment are given. It is indicated that the conclusion of the found productive solutions can have the most acceptable and comfortable form both for students and for the teacher in the form of three approaches. The first shows that artificial intelligence in this area can be represented in the form of robotized being in the shape of a person; the second indicates that it is enough to confine oneself only to specially organized input-output systems for targeted transmission of effective methodological recommendations and instructions to both students and teachers; the third demonstrates that life will force one to come up with completely new hybrid forms of interaction between both sides in the form of interactive educational environments, to some extent resembling the educational spaces of virtual reality.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

Ambient Assisted Living Systems: The Scope of Research and Development

2017 ◽  
Vol 3 (2) ◽  
pp. 21
Author(s):  
Ashish D Patel ◽  
Jigarkumar H. Shah
Keyword(s):  
Assisted Living ◽  
Independent Living ◽  
Intelligent Systems ◽  
New Technologies ◽  
Ambient Assisted Living ◽  
Smart Devices ◽  
Economic Changes ◽  
Aged Population ◽  
The People ◽  
Living Person

The aged population of the world is increasing by a large factor due to the availability of medical and other facilities. As the number grows rapidly, requirements of this segment of age (65+) are increasing rapidly as well as the percentage of aged persons living alone is also increasing with the same rate due to the inevitable socio-economic changes. This situation demands the solution of many problems like loneliness, chronic conditions, social interaction, transportation, day-to-day life and many more for independent living person. A large part of aged population may not be able to interact directly with new technologies. This sought some serious development towards the use of intelligent systems i.e. smart devices which helps the people with their inability to use the available as well future solutions. Ambient Assisted Living (AAL) is the answer to these problems. In this paper, issues related to AAL systems are studied. Study of challenges and limitations of this comparatively new field will help the designers to remove the barriers of AAL systems.

Sign in / Sign up

Export Citation Format

Share Document