21 November 2016

Call for papers: "Intelligent Technologies in Modern Industries: Challenges Facing Globalisation and Informatisation"

For a special issue of the International Journal of Information Technology and Management.

In the 18th century, the British engineer Watt invented the steam engine, creating a machine to replace the manual tool of the times which led to the first industrial revolution. Man entered the industrial age. After 1870, science and technology developed in leaps and bounds, a variety of new technologies and new inventions were quickly applied to industrial production, greatly promoting the development of the economy.
This was the second industrial revolution. At that time, the outstanding development of science and technology was mainly manifested in three aspects, namely, the wide application of power, the creation of the internal combustion engine and new means of transport, and the invention of new communication methods.
Compared to the traditional industries, one of the key roles of technologies is artificial intelligence. This is the research and development of a new science and technology of intelligent simulation, extension and expansion of the theory, method, technology and application of the system, aiming to study how to use computers and modern industry with a system to mimic human intelligent behaviour. The development of artificial intelligence technology provides a more effective method for the analysis and processing of production data and information. AI technology is especially suitable for solving complicated and uncertain problems, and it can be widely used in all aspects of the manufacturing process.
Digital technology and automation technology support development models of the manufacturing industry, operation efficiency and so on. Digital technology alongside the manufacturing process itself can help to realise intelligent design and management; and coupled with global information integration and optimisation, this can ultimately lead to the intelligent manufacturing factory.
With the development of the Internet of Things in the past decade, industry as a main body of the social economy promotes the progress of society; the development of science and technology is also moving towards the direction of the development of intelligence. A manufacturing enterprise with advanced manufacturing capacity is not enough; it must also be able to respond to the market from the product development and production planning aspects of the rapid response to the market, the competitiveness of enterprises has a full range of problems. Computers can simulate all of the processes, in advance, to verify the design requirements, using the advanced technology to optimise the whole process. Information can be used for the industrialisation of wings manufacturing. The application of intelligent technology in industrial production brings new prospects, including manufacturing industry supply chain management, optimisation of production process, equipment monitoring and management, ubiquitous sensing network technology, parallel management technology, human-computer interaction technology and system integration manufacturing technology etc. It is essential to explore enterprise management systems from the theoretical viewpoint; it is also absolutely essential to the survival, growth and prosperity of any company to have some means to manage innovation in the process of economic globalisation and under the knowledge economy environment.
The basis of industrialisation is automation. The field of automation has been developing for nearly a hundred years. Its theory and practice have been developed - particularly in terms of control system - in line with the rise of large-scale modern industrial automation and the process control requirements of increasingly complex operations - a combination of computer technology, control technology, network communication technology and multimedia technology."
In the early stage of the development of IT information, the objective of information services was mainly to help people, and the main issue is to solve the problem of information islands. When the problem of information islands for human services is resolved, this will solve the problem of information islands on a larger scale to get through people's information. After people have access to this information, they can make decisions according to the information, thus triggering the next steps. But, because of individual differences, even using the same information, different people make different decisions. So how do we obtain the optimal decision from the information? In addition, the information may not be able to make a decision, but how can we give things in the information the ability to make decisions? Intelligent analysis and optimisation technology is a means to solve this problem, after obtaining information, based on historical experience and theoretical models, thus enabling quick decisions. Data analysis and optimisation technology in enterprise industrialisation and information technology is in strong demand. So, the aim of the special issue is to provide a forum for innovative ideas and implementation methodologies for researchers and users in the modern day era.
We will be including a rich diversity of concepts, techniques, and applications of intelligent technologies in the modern industry. Research papers that focus on empirical studies and evaluations, as well as conceptual papers will be considered for publication. Submitted papers will cover the wide range of topics of medical imaging.
We aim to create a common platform for motivated people through which research and development activities in the areas of intelligent technologies in the modern industry and relevant fields can accelerate so that this platform becomes able to contribute towards the growth of the society as a whole. In this regard, prospective authors/researchers are requested to submit quality original as well as review works within the scope mentioned.
Suitable topics include, but are not limited to, the following:
  • Product management
  • Decision making in industrial engineering
  • Big data in intelligence industry
  • Sensor networks
  • Genetic algorithm in industry
  • Soft computing in management
  • Process optimisation
  • Automatic control system in industry
  • Knowledge management
  • Intelligent patent retrieval and evasion
  • Multi-agent based information management
  • Total quality control
  • Advanced production management methodologies
  • Lean production
  • Agile manufacturing
  • Computer integrated manufacturing
  • Reengineering in industrial management
  • Just in time production
  • Advanced energy storage and control systems
  • Acquisition and fusion for traffic information
  • The optimisation of traffic networks and signals
  • Knowledge networks and their roles
  • Global and cultural issues in developing successful information systems
  • Decision support systems
  • Intelligent agents
  • Web services, semantic web and their related business strategies
  • E-education system and its application
  • E-government system and its application
  • Business intelligence
  • Business performance management
  • Customer relationship management
  • It service management
  • It project management
  • Logistics informatisation
  • Logistics distribution management
  • Wireless, mobile, adhoc and sensor networks
  • Ubiquitous networks
  • Network security
  • Multimedia networking etc
  • Communication systems
  • Coding and information theory
  • Wireless, uwb, ultrasonic communications
  • Satellite communications
Important Dates
Submission of manuscripts: 25 August, 2017
Notification to authors: 25 September, 2017
Final versions due: 25 October, 2017

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