Automatic image annotation, which aims at automatically identifying and then assigning semantic keywords to the meaningful objects in a digital image, is not a very difficult task for human but has been regarded as a ...
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Automatic image annotation, which aims at automatically identifying and then assigning semantic keywords to the meaningful objects in a digital image, is not a very difficult task for human but has been regarded as a difficult and challenging problem to machines. In this paper, we present a hierarchical annotation scheme considering that generally human s visual identification to a scenery object is a rough-to-fine hierarchical process. First, the input image is segmented into multiple regions and each segmented region is roughly labeled with a general keyword using the multi-classification support vector machine. Since the results of rough annotation affect fine annotation directly, we construct the statistical contextual relationship to revise the improper labels and improve the accuracy of rough annotation. To obtain reasonable fine annotation for those roughly classified regions, we propose an active semi-supervised expectation-maximization algorithm, which can not only find the representative pattern of each fine class but also classify the roughly labeled regions into corresponded fine classes. Finally, the contextual relationship is applied again to revise the improper fine labels. To illustrate the effectiveness of the presented approaches, a prototype image annotation system is developed, the preliminary results of which showed that the hierarchical annotation scheme is effective.
Cyber-physical system (CPS) integrates physics with Internet to provide a timely, confidential and efficient interaction of physical appliances with people. However, as a CPS Application, Smart Home still has difficul...
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Cyber-physical system (CPS) integrates physics with Internet to provide a timely, confidential and efficient interaction of physical appliances with people. However, as a CPS Application, Smart Home still has difficulties in building a centralized interaction for remote monitoring. The paper presents the interaction model of Smart Community Cyber-Physical System (SCCPS) with the name Net-in-Net. The proposed model interaction is organized as a Wireless Sensor Network with Zigbee and GPRS technologies. Furthermore, B/S and C/S mixed mode is used as the architecture of remote interaction. After that a Cyber Protocol of application layer is proposed. Such model is supposed to provide a smart home interaction of high Security, reliability, stability and timeliness.
Wireless sensor networks (WSNs) have become indispensable to the realization of smart homes. The objective of this paper is to develop such a WSN that can be used to construct smart home systems. The focus is on the d...
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Wireless sensor networks (WSNs) have become indispensable to the realization of smart homes. The objective of this paper is to develop such a WSN that can be used to construct smart home systems. The focus is on the design and implementation of the wireless sensor node and the coordinator based on ZigBee technology. A monitoring system is built by taking advantage of the GPRS network. To support multi-hop communications, an improved routing algorithm based on the Dijkstra algorithm is presented. Preliminary simulations have been conducted to evaluate the performance of the algorithm.
This work develops a novel virtual production control system (VPCS), which is allocated on a manufacturer side to adjust production pace of a supplier using a short-term demand plan for reducing inventory level. In ad...
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ISBN:
(纸本)9781424454471
This work develops a novel virtual production control system (VPCS), which is allocated on a manufacturer side to adjust production pace of a supplier using a short-term demand plan for reducing inventory level. In addition to remotely monitoring production progress of a supplier, the proposed VPCS allows manufacturers to pre-schedule the latest outputs using an integer programming model, to simulate the short-term plan by a stochastic colored timed Petri Nets, and to adjust the production pace of the supplier via the plan. An industrial case study shows that the supplier inventory was reduced by 13.8% over that of the real inventory level with an order-fill rate exceeding 99.6% using the proposed VPCS.
The chaotic suppression problem for a class of typical discrete-time hyperchaotic systems is investigated in this paper. A T-S fuzzy model-based control method is employed to eliminate hyperchaos in the considered dis...
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The chaotic suppression problem for a class of typical discrete-time hyperchaotic systems is investigated in this paper. A T-S fuzzy model-based control method is employed to eliminate hyperchaos in the considered discrete-time system. Firstly, the T-S fuzzy representation for the discrete-time hyperchaotic system is presented. Then, a state feedback controller is designed based on the parallel distributed compensation technique. According to the linear matrix inequality method and exact linearization technique, two kinds of approaches are given to solve the controller gain matrices. Finally, the validity of the proposed chaotic suppression method is illustrated by a numerical example.
Many real natural or man-made dynamic systems can be better characterized using a fractional order dynamic model. Since in such a case the order assumes a non-integer value, it is of interest to consider the effect of...
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Many real natural or man-made dynamic systems can be better characterized using a fractional order dynamic model. Since in such a case the order assumes a non-integer value, it is of interest to consider the effect of small perturbation around the nominal value. It is of practical importance to analyze the influence of the order variations on the system behavior. This paper establishes an analytical method for the analysis of the sensitivity function of LTI fractional order dynamic systems with respect to the orders. The continuous dependent condition of the orders of fractional Green's function is derived, which is proved as a necessary and sufficient condition. The singularity of fractional Green's functions is discussed. Several examples are included for illustration.
Wireless Industrial communications is emerging technology after the Fieldbus in industrial field. Since the industrial control application is needed in wireless industrial technologies, WIA-PA standard is defining the...
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Wireless Industrial communications is emerging technology after the Fieldbus in industrial field. Since the industrial control application is needed in wireless industrial technologies, WIA-PA standard is defining the protocol suite, system management, gateway, and security for low-data-rate wireless connectivity with fixed, portable, and moving devices supporting limited power consumption requirements. This paper presents the security architecture and security protocol based on WIA-PA. Furthermore, we design and implement the security communication services. Finally, the test results illustrate that these security measures may enhance the security reliability of the WIA-PA network communication.
In this paper, we present an approach to scalable co-scheduling in distributed computing for complex sets of interrelated tasks (jobs). The scalability means that schedules are formed for job models with various level...
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In this paper, we present an approach to scalable co-scheduling in distributed computing for complex sets of interrelated tasks (jobs). The scalability means that schedules are formed for job models with various levels of task granularity, data replication policies, and the processor resource and memory can be upgraded. The necessity of guaranteed job execution at the required quality of service causes taking into account the distributed environment dynamics, namely, changes in the number of jobs for servicing, volumes of computations, possible failures of processor nodes, etc. As a consequence, in the general case, a set of versions of scheduling, or a strategy, is required instead of a single version. We propose a scalable model of scheduling based on multicriteria strategies. The choice of the specific schedule depends on the load level of the resource dynamics and is formed as a resource query which is sent to a local batch-job management system.
This paper introduces a high performance vision tracking system for mobile robot using sensor data fusion. For mobile robots, it is difficult to collect continuous vision information due to robot's motion. To solv...
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This paper introduces a high performance vision tracking system for mobile robot using sensor data fusion. For mobile robots, it is difficult to collect continuous vision information due to robot's motion. To solve this problem, the proposed vision tracking system estimates the robot's position relative to a target and rotates the camera towards the target. This concept is derived from the human eye reflex mechanism, known as the Vestibulo-Ocular Reflex (VOR), for compensating the head motion. This concept for tracking the target results in much higher performance levels, when compared with the conventional method that rotates the camera using only vision information. The proposed system do not require heavy computing loads to process image data and can track the target continuously even during vision occlusion. The robot motion information is estimated using data from accelerometer, gyroscope, and encoders. This multi-sensor data fusion is achieved using Kalman filter. The proposed vision tracking system is implemented on a two-wheeled robot. The experimental results show that the proposed system achieves excellent tracking and recognition performance in various motion scenarios, including scenarios where camera is temporarily blocked from the target.
This paper deals with a possibility of non-destructive diagnostics of solid objects by software analysis of vibration spectrum by accelerometers. By a use of MATLAB platform, a processing and information evaluation fr...
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This paper deals with a possibility of non-destructive diagnostics of solid objects by software analysis of vibration spectrum by accelerometers. By a use of MATLAB platform, a processing and information evaluation from accelerometer is possible. Accelerometer is placed on the measured object. The analog signal needs to be digitized by a special I/O device to be processed offline with FFT (Fast Fourier Transformation). The power spectrum is then examined by developed evaluating procedures.
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