scholarly journals Medical Physics Contributes to The Advancement in Medicine

2021 ◽  
Vol 14 ◽  
pp. 1-7
Author(s):  
Kwan Hoong Ng ◽  
Jeannie Hsiu Ding Wong ◽  
Chai Hong Yeong ◽  
Hafiz Mohd Zin ◽  
Noriah Jamal
Keyword(s):  
Artificial Intelligence ◽  
Nuclear Medicine ◽  
Big Data ◽  
New Technologies ◽  
Medical Physics ◽  
Knowledge And Skills ◽  
X Ray ◽  
Medical Physicists ◽  
Medicine Today ◽  
Improve Health

Medical physics is the application of physics principles and techniques in medicine. Medical physicists are actively applying their knowledge and skills in the prevention, diagnosis and treatment of diseases to improve health via research and clinical practice. In this paper, we present the roles of medical physicists in the three primary fields, namely, diagnostic imaging, radiotherapy and nuclear medicine.  Medical physicists have been playing a crucial role in the advancement of new technologies that have revolutionised medicine today. This includes the continuous development of medical imaging and radiotherapy techniques since the discovery of X-ray and radioactivity. The last decade has seen tremendous development in the field that allows for better diagnosis and targeted treatment of various diseases. In the era of big data and artificial intelligence, while medical physicists continue to ensure that the application of the technologies in medicine is optimal and safe, it is paramount for the profession to evolve and be equipped with new skills to continue to contribute to the advancement of medicine.

scholarly journals Application Problems and Solutions of Intelligent Airport Service Robots

2020 ◽  
Vol 198 ◽  
pp. 04030
Author(s):  
Dai Yanyan ◽  
Chen Meng
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Large Scale ◽  
New Technologies ◽  
Effective Means ◽  
Third Party ◽  
Service Robots ◽  
Service Robot ◽  
Operation Conditions

With the development of new technologies such as artificial intelligence, big data, and cloud computing, the “intelligent airport” is considered to be an effective means to solve or alleviate the current industry problems such as large-scale airport business, the large number of operating entities, and the complicated operation conditions. This paper is about the collaboration between universities and enterprises based on the concept of service design. Relying on big data and cloud computing technology, this paper addresses the problems of airport service robots in inquiries, blind spots of security inspection, and full monomer smart navigation diffluence, combined with the basic technology of service robot artificial intelligence and the third-party interface to design solutions to effectively solve the problems of process.

scholarly journals A technologist view of the next decade evolution of the librarian work environment

2018 ◽  
Vol 186 ◽  
pp. 09004
Author(s):  
André Schaaff ◽  
Marc Wenger
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Work Environment ◽  
New Technologies ◽  
State Of The Art ◽  
Working Environment ◽  
Online Resources ◽  
Mining Machine ◽  
Daily Work

The work environment has deeply evolved in recent decades with the generalisation of IT in terms of hardware, online resources and software. Librarians do not escape this movement and their working environment is becoming essentially digital (databases, online publications, Wikis, specialised software, etc.). With the Big Data era, new tools will be available, implementing artificial intelligence, text mining, machine learning, etc. Most of these technologies already exist but they will become widespread and strongly impact our ways of working. The development of social networks that are "business" oriented will also have an increasing influence. In this context, it is interesting to reflect on how the work environment of librarians will evolve. Maintaining interest in the daily work is fundamental and over-automation is not desirable. It is imperative to keep the human-driven factor. We draw on state of the art new technologies which impact their work, and initiate a discussion about how to integrate them while preserving their expertise.

scholarly journals THE IMPACT OF BIG DATA TECHNOLOGIES ON COMPETITIVE ADVANTAGE OF COMPANIES

2017 ◽  
pp. 255 ◽  
Author(s):  
Jelena Lukić
Keyword(s):  
Big Data ◽  
Competitive Advantage ◽  
Real Time ◽  
New Technologies ◽  
Knowledge And Skills ◽  
Big Data Technologies ◽  
The Impact

The emergence of large quantity of data, from various sources, available in real-time, known as Big Data, have stimulated development of new technologies, techniques, tools, knowledge and skills which allows to work with that data. Big Data represent not only the factor from environment that confronts the companies with avalanche of data, but also very imporant resource which provide opportunities for companies to make value on the basis of collected data. Characteristics and possibilities which Big Data technologies offer have positioned them as a valuable factor for gaining and sustaining the competitive advantage in companies. The aim of this paper is to examine how Big Data technologies impact on competitive advantage of the companies that use them.

RESEARCH ON THE CONSTRUCTION OF A NEW SMART CITY IN HUZHOU (CHINA)

2021 ◽  
pp. 25-29
Author(s):  
Menglin Xu
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Smart City ◽  
New Technologies ◽  
Living Environment ◽  
Scientific Management ◽  
City Management ◽  
Starting Point ◽  
Wide Range ◽  
Countermeasures And Suggestions

Taking solving urban problems and serving urban development as the starting point, smart city comprehensively uses information technology means such as big data, network communication, artificial intelligence and satellite remote sensing to solve population, resource and environmental problems in combination with scientific management methods. It is a new intelligent city model proposed to promote urban health, safety and sustainable development. Through the background of smart city, focusing on the core issues such as what is a smart city, what kind of smart city to build and how to build a smart city, and based on the analysis and investigation of the development status of the smart city in Huzhou, this paper analyzes and expounds the problems existing in the construction of the smart city in Huzhou, This paper puts forward the countermeasures and suggestions to promote the development of the new smart city in Huzhou City. It gives information on further development within the proper implementation of the smart city concept. Firstly, this concept needs a wide range of specialists in the field of management, informatics, geography, architecture, regional economy, who should work in close cooperation synergistically. Secondly, it is substantial to applicate new technologies, for instance, they can be cloud computing, big data, GIS, the Internet of Things and artificial intelligence, etc. The current state of construction of a smart city is emphasized in unsatisfactory condition, hence, the development of the smart city in Huzhou needs all of the above factors. In the light of all evidence, to further develop a smart city, a set of measures is recommended, including clarifying development goals and providing scientific assistance to construction, providing smart planning, strengthening leadership and introduction of new technologies, establishing communications to explain the concept of building a smart city. Such a city will have convenient public services, improved city management, a proper living environment, well-developed intellectual infrastructure and long-term network security.

Technology Use and Innovation Strategies in Event Tourism

2022 ◽  
pp. 104-121
Author(s):  
Tuba Türkmendağ ◽  
Zafer Türkmendağ
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Technology Use ◽  
New Technologies ◽  
Direct Marketing ◽  
Behavioral Changes ◽  
The World ◽  
Event Tourism ◽  
Innovation Strategies ◽  
Management Effects

Event tourism has undergone a serious change in the world with developing technology and innovations. In this respect, this chapter examines the direct, marketing, and management effects of technology on event tourism with a literature review. Studies in this field in the literature show that technologies such as artificial intelligence, big data, robots, decision support systems, internet of things, 5G cause behavioral changes in tourists; thus, event organizers use these technologies effectively to keep up with this change. In this context, academic studies in the field, new technologies, and methods used, innovation strategies are explained in detail in the book section, and a framework has been developed and presented to examine smart event tourism in detail. The results of the research are thought to contribute to the literature and offer managerial solutions.

scholarly journals Combining Big Data and Artificial Intelligence for Managing Collective Knowledge in Unpredictable Environment—Insights from the Chinese Case in Facing COVID-19

2020 ◽  
Author(s):  
Francesca Iandolo ◽  
Francesca Loia ◽  
Irene Fulco ◽  
Chiara Nespoli ◽  
Francesco Caputo
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Knowledge Management ◽  
Business Models ◽  
New Technologies ◽  
Human Machine Interaction ◽  
Decision Making Processes ◽  
Unpredictable Environment ◽  
Definition Of ◽  
Machine Interaction

AbstractThe increasing fluidity of social and business configurations made possible by the opportunities provided by the World Wide Web and the new technologies is questioning the validity of consolidated business models and managerial approaches. New rules are emerging and multiple changes are required to both individuals and organizations engaged in dynamic and unpredictable paths.In such a scenario, the paper aims at describing the potential role of big data and artificial intelligence in the path toward a collective approach to knowledge management. Thanks to the interpretative lens provided by systems thinking, a framework able to explain human-machine interaction is depicted and its contribution to the definition of a collective approach to knowledge management in unpredictable environment is traced.Reflections herein are briefly discussed with reference to the Chinese governmental approach for managing COVID-19 spread to emphasise the support that a technology-based collective approach to knowledge management can provide to decision-making processes in unpredictable environments.

scholarly journals Big data for whose sake? Governing migration through artificial intelligence

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Tuba Bircan ◽  
Emre Eren Korkmaz
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
New Technologies ◽  
Control Function ◽  
Big Data Analytics ◽  
Fundamental Rights ◽  
High Tech ◽  
Human Beings ◽  
Security Threat ◽  
Data Accessibility

AbstractAlthough human activity constantly generates massive amounts of data, these data can only be analysed by mainly the private sector and governmental institutes due to data accessibility restrictions. However, neither migrants (as the producers of this data) nor migration scholars (as scientific experts on the topic) are in a position to monitor or control how governments and corporations use such data. Big Data analytics and Artificial Intelligence (AI) technologies are promoted as cutting-edge solutions to ongoing and emerging social, economic and governance challenges. Meanwhile, states increasingly rely on digital and frontier technologies to manage borders and control migratory movements, and the defence industry and military–intelligence sectors provide high-tech tools to support these efforts. Worryingly, during the design and testing of algorithmic tools, migrants are often portrayed as a security threat instead of human beings with fundamental rights and liberties. Thus, privacy, data protection, and confidentiality issues continue to pose risks and challenges to migrant communities and raise important questions for the public and decision-makers alike. This comment seeks to shed light on the lack of effective regulation of AI and Big Data as they are applied in migration ‘management’. Additionally, from the perspective of privacy issues and immigrant rights (seeking asylum as a human right, it aims at advocating improved access to Big Data for scientific research which might act as a social control function for the smart border and existing/ongoing migration governance practices of countries. We argue that the use of Big Data and AI for migration governance requires much better collaboration between migrants (including the civil society and grassroots organisations solidarity that represent them), data scientists, migration scholars and policymakers if the potential of these technologies is to be reached in a way that is reasonable and ethical. Numerous critical privacy questions arise are regarding the legal requirements, confidentiality, and rules of engagement as well as the ethical concerns of (mis)use of new technologies. When the secretive nature of the ongoing exploitation of migrant data by states and corporations is considered raising such questions is essential for progress.

scholarly journals Interpreting, analyzing and distributing information: A big data framework for competitive intelligence

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Eduardo Luis Casarotto ◽  
Guilherme Cunha Malafaia ◽  
Marta Pagán Martínez ◽  
Erlaine Binotto
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Technological Innovation ◽  
New Technologies ◽  
Decision Makers ◽  
Strategic Decision ◽  
Competitive Intelligence ◽  
Technological Innovations ◽  
Data Sets ◽  
Data Framework

This paper aimed to develop a data-based technological innovation frameworkfocused on the competitive intelligence process. Technological innovations increasinglytransform the behavior of societies, affecting all sectors. Solutions such as cloud computing, theInternet of Things, and artificial intelligence provide and benefit from a vast generation of data:large data sets called Big Data. The use of new technologies in all sectors increases in the faceof such innovation and technological mechanisms of management. We advocated that the use ofBig Data and the competitive intelligence process could help generate or maintain a competitiveadvantage for organizations. We based the proposition of our framework on the concepts of BigData and competitive intelligence. Our proposal is a theoretical framework for use in thecollection, treatment, and distribution of information directed to strategic decision-makers. Itssystematized architecture allows the integration of processes that generate information fordecision making.

Comparative Study of Systems Based on AI to Diagnostic of COVID-19

2021 ◽  
Vol 10 (1) ◽  
pp. 382-390
Keyword(s):  
Artificial Intelligence ◽  
Health Service ◽  
Comparative Study ◽  
Healthcare System ◽  
New Technologies ◽  
Early Stage ◽  
X Ray ◽  
The World ◽  
International Issue

The pandemic COVID-19 keep spreading all over the world after it first appeared in China in December 2019. COVID-19 became an international issue for the health service. The role of each individual in our society is important to fight against this pandemic, the exceptional effort and various measures have been done and took by the healthcare and government to minimize the spread of this disease. Despite all this effort made, the number of COVID-19 cases increase and put a lot of pressure on the healthcare system all over the world, this end leads to many cases of deaths. The diagnostic of this virus in the early stage will help to treat the infected patients and save their life. The use of new technologies especially Artificial Intelligence (AI) can help radiologists and physicians to make fast, early, and exact diagnoses of this disease. In this paper, we elaborate a comparative study of various implemented methods for the diagnostic of COVID-19 based on the AI. And especially we will focus on the systems that combine the AI methods and medical imaging such as X-ray and CT

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