Journal Information
IEEE Transactions on Industrial Informatics (TII)
Impact Factor:

Call For Papers
Scope: IEEE Transactions on Industrial Informatics focuses on knowledge-based factory automation as a means to enhance industrial fabrication and manufacturing processes. This embraces a collection of techniques that use information analysis, manipulation, and distribution to achieve higher efficiency, effectiveness, reliability, and/or security within the industrial environment. The scope of the Transaction includes reporting, defining, providing a forum for discourse, and informing its readers about the latest developments in intelligent and computer control systems, robotics, factory communications and automation, flexible manufacturing, vision systems, and data acquisition and signal processing
Last updated by Dou Sun in 2016-09-08
Special Issues
Special Issue on 5G and Beyond Mobile Technologies and Applications for Industrial IoT
Submission Date: 2017-08-30

Following the tremendous success of 2G and 3G mobile networks and the fast growth of 4G, the next generation mobile networks (5G) was proposed aiming to provide infinite networking capability to mobile users. Differentiated from 4G, benefits offered by 5G is much more than the increased maximum throughput. It aims to involve and benefit from many current technical advances including Industrial Internet of Things (IIoT). As the IIoT integrates many heterogeneous networks, such as Wireless Sensor Networks (WSNs), Wireless Local Area Networks (WLANs), Mobile Communication Networks (3G/4G/LTE/5G), Wireless Mesh Networks (WMNs) and wearable health care systems, it is critical to design self-organizing and smart protocols for heterogeneous ad hoc networks in various IoT applications, such as cyber-physical systems, cloud computing for heterogeneous ad hoc networks, large-scale sensor networks, data acquisition from distributed smart devices, green communication and applications, environmental monitoring and control, etc. Moreover, based on the survey conducted by the World Health Organization, the world will lack 12.9 million health care workers by 2035. Hence, it is important to develop wearable health care systems to perform self-health monitoring. In general, wearable health care systems demands low power consumption and high measurement accuracy. Smart technologies including green electronics, green radios, fuzzy neural approaches and intelligent signal processing techniques play important roles for the developments of the wearable health care systems. This special issue aims at providing a forum to discuss the recent advances on 5G and beyond mobile technologies and applications for IIoT. Topics include, but are not limited to, the following research topics and technologies: - Architecture of IIoT in 5G networks - Software defined solutions for IIoT - Energy efficiency and energy harvesting in IIoT - Terminal intelligence and light weight sensors - Data collection, processing, aggregation, and communication - Co-existence and device inter-operability of sensors with 5G networks - Data processing and anomaly detection for IIoT networks - Machine-type communications in IIoT5G systems - Emerging IIoT applications in 5G networks - Experimental results, prototypes and testbeds using sensors for 5G technologies
Last updated by Dou Sun in 2017-07-01
Special Issue on Industrial and Commercial Demand Response
Submission Date: 2017-08-31

Non-residential (industrial and commercial) customers have great potential in providing flexibility for power systems through diverse Demand Response (DR) programs. Intelligent energy management can be carried out with DR in industrial and commercial facilities, especially if on-site control, information and communication technologies are available, enabling also the inherent automation capabilities of heating, ventilation and air conditioning systems. Due to the dawn of the Smart Grid era, with increasing distributed generation and the conversion of traditionally passive consumers to newly active energy players in the market, DR is being effectively considered for outage management and network reinforcement deferral. The industrial and commercial potential of DR is not yet completely understood, especially regarding the emerging and advanced technologies associated to the Smart Grid. Advances in smart meter technology that allow monitoring and controlling responsive loads in near real-time will also be key enablers of DR potential. It can be more complex to implement DR for industrial loads if compared to residential loads mainly due to the reliability management that is more vital for industrial plants. An interruption of service may lead to stopping production or violating operational constraints of the plant. Industrial processes can be interdependent and correlated, being difficult to isolate and shed separately. Several manufacturing processes are critically dependent on time and must be scheduled with high precision. DR solutions can reduce costs related to energy consumption and increase renewable sources exploitation. This special section aims at providing a forum to discuss the most recent advances on Industrial and Commercial DR. Topics include, but are not limited to: - Advanced informatics for industrial/commercial DR - Industrial/commercial DR schemes, programs and optimization models - Information and communication infrastructure of industrial/commercial DR - Sensors, metering and control technologies for industrial/commercial DR - Industrial/commercial DR interactions with renewable/distributed generation - Trading industrial/commercial DR in wholesale and retail markets - Dynamic prices and tariffs in industrial/commercial DR - Price prediction and/or load forecasting for industrial/commercial DR - Strategic market behavior of industrial/commercial DR aggregation agents - Industrial/commercial DR participation in ancillary services - Electric vehicles and energy storage participation in industrial/commercial DR - Integration of multi-energy systems with industrial/commercial DR - Security and privacy issues related to industrial/commercial DR - New and existing business models for industrial/commercial DR - Cost/benefit evaluation, barriers and drivers of industrial/commercial DR - Regulation, protocols and standards of industrial/commercial DR
Last updated by Dou Sun in 2017-07-01
Special Issue on Deep Learning Models for Industry Informatics
Submission Date: 2017-09-30

Deep learning is a novel research direction in machine learning field. In recent years, it has made breakthrough progress in many applications such as speech recognition, computer vision, industrial control and automation etc. The motivation of deep learning is to establish a model to simulate the neural connection structure of human brain. While dealing with outside complex signals, it adopts a number of transformation stages to give the in-depth interpretation of the data. Shallow learning is to rely on the artificial experience to extract the characteristics of the sample datasets, and the network model is obtained after the study which has no hierarchical structure; while the deep learning treats the original signal with layer by layer feature transformation, and transforms the feature representation of the sample in the original space into the new feature space, and automatically learns the hierarchical representation of the feature, which is more conducive to the classification or feature visualization. Deep learning achieves exceptional power and flexibility by learning torepresent the task as a nested hierarchy of layers, with more abstract representations computed in terms of less abstract ones. The current resurgence is a result of the breakthroughs in efficient layer-wise training, availability of big datasets, and faster computers. It is expected that the development of deep learning theories and applications would further influence the field of industry informatics. This special issue mainly focuses on deep learning models for industry informatics, addressing both original algorithmic development and new applications of deep learning. We are soliciting original contributions, of leading researchers and practitioners from academia as well as industry, which address a wide range of theoretical and application issues in deep learning for industry informatics. Topics for this special issue include, but are not limited to: Topics include, but are not limited to, the following research topics and technologies: - Deep learning for Internet-based monitoring and control systems - Deep learning for collaborative factory automation - Deep learning for distributed industrial control and computing paradigms - Deep learning for real-time control software for industrial processes - Deep learning for control of wireless sensors and actuators - Deep learning for systems interoperability and human machine interface - Deep learning for industrial focused software development - Deep learning for reusable analytics tools and frameworks - Deep learning for urban informatics - Deep learning for statistical tools for electric machine and drives condition monitoring - Deep learning for DSP and FPGA-based system implementation - Deep learning for industrial system security and intrusion
Last updated by Dou Sun in 2017-07-01
Special Issue on Embedded and Networked Systems for Intelligent Vehicles and Robots
Submission Date: 2017-09-30

Embedded and networked systems for intelligent e-vehicles and robots are emerging, with a high economic, societal and industrial impact. They will improve safety (reducing accidents caused by human errors), sustainability (increasing transport system efficiency), comfort/inclusivity (ensuring user's freedom for other activities and mobility for all), logistic & factory automation (with a key role in industry 4.0, allowing industrial robots moving and operating autonomously and cooperating). There are many key enabling technologies for the revolution, such as networked sensors, actuators and embedded computing/control platforms distributed onboard the vehicle/robot...etc. Moreover, Artificial Intelligence (AI) and deep learning computing platform are emerging to achieve full intelligent autonomous mobility of vehicles and robots. Solving these issues for intelligent e-vehicles and robots will have benefit for other applications such as unmanned vehicles and Industry 4.0 scenarios. Last but not least, worldwide standardization and homogenization efforts are needed to ensure interoperability of the solutions. We solicit papers covering the following topics of interest, but not limited to: - Embedded systems, embedded software, hardware/software partition & real-time systems in vehicles - Real-time communications in vehicles, e.g., AVB, TSN, CAN, Flexray - Scheduling and schedulability analysis techniques - Models, languages and techniques to deal with the complexity of vehicle software - Advanced powerful execution platforms, e.g., multi-core Electronic Control Units - Functional safety and certification (e.g., according to ISO 26262) aspects in vehicles. - Authentication, privacy and security issues in automated and connected vehicles/robots - Networking for E-transportation and smart grid - Peer-to-peer and cooperating vehicles and robots - Over-the-air diagnostic and firmware/software update - AI and deep learning computing for self-driving vehicles/robots - V2X/M2X wireless transceivers, data-link, MAC and networking layers - Synergies among vehicular, robotics and Industry4.0 technologies, tools and industrial case studies - Homogenization and standardization to ensure interoperability, security and functional safety
Last updated by Dou Sun in 2017-07-01
Related Publications
Related Journals
CCFFull NameImpact FactorPublisherISSN
Journal of Trust Management Springer2196-064X
cActa Informatica0.809Springer0001-5903
cFundamenta Informaticae IOS Press0169-2968
Physica D: Nonlinear Phenomena1.579ELSEVIER0167-2789
International Journal on Computational Science & Applications AIRCC2200-0011
cWeb Intelligence and Agent Systems IOS Press1570-1263
cComputing and Informatics Institute of Informatics, Slovakia1335-9150
Egyptian Journal of Basic and Applied Sciences ELSEVIER2314-808X
bAdvanced Engineering Informatics2.000ELSEVIER1474-0346
Magnetic Resonance Imaging1.980ELSEVIER0730-725X
Related Conferences
CCFCOREQUALISShortFull NameSubmissionNotificationConference
BESCInternational Conference on Behavioral, Economic, and Socio-Cultural Computing2015-06-102015-08-122015-10-30
EGOVISInternational Conference on Electronic Government and the Information Systems Perspective2016-03-232016-05-032016-09-05
CCBRChinese Conference on Biometric Recognition2015-06-302015-07-312015-11-13
IUrCInternational Conference on Intelligent Urban Computing2014-07-112014-07-182014-08-14
b4IHIInternational Health Informatics Symposium2011-06-232011-09-012012-01-28
PVInternational Packet Video Workshop2015-03-022015-03-102015-06-04
AICoBInternational Conference on Algorithms for Computational Biology2017-01-292017-02-252017-06-05
BIInternational Conference on Brain Informatics2017-05-012017-06-102017-11-16
ICSTTEInternational Conference on SmartRail, Traffic and Transportation Engineering2017-08-152017-08-302017-12-15
MWSCASInternational Midwest Symposium on Circuits and Systems2015-03-232015-04-272015-08-02