With the development of Internet-of-Things (IoT) technology, various types of information, such as social resources and physical resources, are deeply integrated for different comprehensive applications. Social networking, car networking, medical services, video surveillance, and other forms of the IoT information service model gradually change people’s daily lives. Facing the vast amounts of IoT information data, the IoT search technology is used to quickly find accurate information to meet the real-time search needs of users. However, IoT search requires using a large amount of user private information, such as personal health information, location information, and social relations information, to provide personalized services. Employing private information from users will encounter security problems if an effective access control mechanism is missing during the IoT search process. An access control mechanism can effectively monitor the access activities of resources and ensure that authorized users access information resources under legitimate conditions. This survey examines the growing literature on access control for an IoT search. Problems and challenges of access control mechanisms are analyzed to facilitate the adoption of access control solutions in real-life settings. This article aims to provide theoretical, methodological, and technical guidance for IoT search access control mechanisms in large-scale dynamic heterogeneous environments. Based on a literature review, we also analyzed the future development direction of access control in the age of IoT.

A Survey on Access Control in the Age of Internet of Things

Industrial information integration—A literature review 2006–2015

Industrial information integration – An emerging subject in industrialization and informatization process

Improved fractional Kalman filter and its application to estimation over lossy networks

The paper is devoted to variable order estimation process when measurements are obtained in two different ways: directly and by lossy network. Since the problem of fractional order estimation is highly nonlinear, dual estimation algorithm based on Unscented Fractional Order Kalman filter has been used. In dual estimation process, state variable and order estimation have been divided into two sub-processes. For estimation state variables and variable fractional order, the Fractional Kalman filter and the Unscented Fractional Kalman filter have been used, respectively. The order estimation algorithms were applied to numerical examples and to real fractional variable order inertial system realized as an analog circuit.

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Dual Estimation of Fractional Variable Order Based on the Unscented Fractional Order Kalman Filter for Direct and Networked Measurements

Manufacturing execution system (MES) is defined as a system towards the level of workshop management between the schemed management system on the upper level and industrial control on the bottom level. MES is aimed at the workshops. Moreover, the workshops, acting as the manufacturing center of the enterprises, are not only the executor of production tasks, but also the feed backer of production information. Furthermore, they are distributing center of living manufacturing information. Consequently, the management of workshops, logistics management, and information integration on the level of workshops are key points in the industrially information integration. But MES is the complex DEDS (Discrete event dynamic system), there are many random factors and unstructured problems in it. Therefore it cannot be depicted by accurate formalization methods. Petri nets is the graphic modeling tool, and it can accurately depict the relation in events such as Sequence, Concurrent, Synchronization, etc. So it is the powerful tool for modeling and analyzing DEDS. Colored Petri nets is a kind of high level net system which is adopted for modeling DEDS by this paper. It can greatly reduce the complexity of system model and analyzing the performance of model, and solve the problem of model such as Deadlock, conflict, etc.

The research of manufacturing execution system modeling based on colored Petri nets

The paper presents a model of a class of wireless network systems with delay and data dropout. The optimal state estimator is designed for the system by using time-varying Kalman filter on the basis of the presented model. Then, a design approach to feedback control of optimal state is presented. And the separation principle of state feedback controller and state observer is guaranteed by carrying the additional information in data packet. Finally, the stability of closed-loop NCSs is proven by applying MJLS theory.

Design for wireless networked control systems with time-delay and data packet dropout

The nonholonomic constraint in path planning is described by setting virtual obstacles. Virtual obstacles are supposed to limit the motion direction and posture in the directions that the robots or vehicles cannot move under nonholonomic constraints. The results of path planning based on virtual obstacle are kinematics traceable. And the parking posture and parallel parking in path planning of mobile robot are solved.

Virtual Obstacle Based Approach to Path Planning of Mobile Robot with Nonholonomic Constraints

In this paper, a design method of sliding controller with the disturbance observer is proposed for the existence of disturbance and parameter perturbation in electromechanical servo system, switch function, gain and control function are given, At the same time, stability analysis is made by means of the Lyapunov function. The sliding controller designed by the method has a lower switch gain , so chattering of sliding mode is reduced greatly. Moreover, the disturbance is compensated quickly. Simulations verified that the proposed control method has the better dynamic performance and the robust capability, and also that it has a decided advantage over the conventional sliding control in the suppression of chattering.

A Design Method of Sliding Mode Controller Based on Disturbance Observer

The vehicle scheduling in the logistics system of the iron and steel plant is a key issue to the resource allocation and inventory running efficiency of downstream production line. The traditional vehicle scheduling strategy does not analyze the logistics cost and efficiency of inventory scheduling from the aspects of vehicle storage order and time, resulting in low scheduling efficiency and high cost. Taking the right order and time of arrival of the vehicle into the plant and considering the multi-vehicle scheduling can effectively improve the efficiency of inventory and decrease the cost. So, the paper established an integral programming model that can minimize the factory time and the minimum operating cost of the conveyor belt. Then an improved Glowworm Swarm Optimization algorithm was proposed to solve the complex model, and the adaptive strategy was improved to enhance the individual search ability, and the Levy variation was introduced in the process of the Firefly moving. At last, the improved algorithm was validated by the simulation results.

Lei Zhaoming

Papers

The research of manufacturing execution system modeling based on colored Petri nets

Design for wireless networked control systems with time-delay and data packet dropout

Virtual Obstacle Based Approach to Path Planning of Mobile Robot with Nonholonomic Constraints

A Design Method of Sliding Mode Controller Based on Disturbance Observer

An Improved Glowworm Swarm Optimization for Vehicle Scheduling in the Iron and Steel Plant Logistics