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Works217 from public data
- Deep High-Resolution Representation Learning for Visual Recognition5,145
The superiority of the proposed HRNet in a wide range of applications, including human pose estimation, semantic segmentation, and object detection, is shown, suggesting that the HRNet is a stronger backbone for computer vision problems.
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- Automatic Spatially-Aware Fashion Concept Discovery341
This paper proposes an automatic spatially-aware concept discovery approach using weakly labeled image-text data from shopping websites, and decomposes the visual-semantic embedding space into multiple concept-specific subspaces to facilitate structured browsing and attribute-feedback product retrieval.
- Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers232
This paper introduces the use of object identifiers and object-centric representations to interact with scenes at the object level, and decomposes the input 3D scene into a set of object proposals, each assigned a unique identifier token, which enables efficient object referencing and grounding during user-assistant interactions.
- Completed robust local binary pattern for texture classification171
A robust framework of LBP is proposed, named Completed Robust Local Binary Pattern (CRLBP), in which the value of each center pixel in a 3x3 local area is replaced by its average local gray level, which is more robust to noise and illumination variants.
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- FaultNet: A Deep Convolutional Neural Network for Bearing Fault Classification124
This work analyzes vibration signal data of mechanical systems with bearings by combining different signal processing methods and coupling them with machine learning techniques to classify different types of bearing faults.
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- Robust Estimators for Variance-Based Device-Free Localization and Tracking110
A new estimator, least squares variance-based radio tomography (LSVRT), is proposed, which reduces the impact of the variations caused by intrinsic motion and which achieves better localization accuracy and does not require manually tuning additional parameters compared to VRTI.
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- No Reference Quality Assessment for Screen Content Images Using Stacked Autoencoders in Pictorial and Textual Regions78
An effective and novel blind quality evaluation metric for SCIs by using stacked autoencoders (SAE) based on pictorial and textual regions based on a weighted model is presented.
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- MaskCOV: A random mask covariance network for ultra-fine-grained visual categorization64
Experimental results of the proposed novel random mask covariance network (MaskCOV), which integrates an auxiliary self-supervised learning module with a powerful in-image data augmentation scheme for the ultra-FGVC, demonstrate its superiority and potential of MaskCOV concept, which pushes research boundary forward from the fine-grained to theUltra-fine-Grained visual categorization.
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- MobileFAN: Transferring deep hidden representation for face alignment49
An effective lightweight model, namely Mobile Face Alignment Network (MobileFAN), using a simple backbone MobileNetV2 as the encoder and three deconvolutional layers as the decoder is proposed, which achieves superior or equivalent performance compared with state-of-the-art models.
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- Patchy Image Structure Classification Using Multi-Orientation Region Transform44
Experimental results demonstrate the effectiveness and superiority of the proposed MORT over the state-of-the-art methods in classifying patchy image structures and can be extended to combine with the deep convolutional neural network techniques, for further enhancement of classification accuracy.
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- DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models41
This paper proposes a two-step approach DreamInpainter, which employs a discriminative token selection module to eliminate redundant subject details, preserving the subject's identity while allowing changes according to other conditions such as mask shape and text prompts.
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- Perceptually motivated morphological strategies for shape retrieval40
The proposed perceptually motivated morphological strategies (PMMS) are applied to improve the retrieval performances of a popular shape matching method named Inner-Distance Shape Contexts (IDSC), and then the Locally Constrained Diffusion Process (LCDP) method is exploited to further enhance the retrieval performance.
- Research on campus traffic congestion detection using BP neural network and Markov model35
A novel descriptor, road occupancy rate, is proposed for measuring campus traffic congestion level, which is statistically proved to be the most effective descriptor among other descriptors (including speed of pedestrian, vehicle, motorbike and bike).
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- Local Quantization Code histogram for texture classification34
The experimental results demonstrate the LQC with appropriate local quantization level can effectively characterize the local gray-level distribution.
- Blind assessment for stereo images considering binocular characteristics and deep perception map based on deep belief network30
Experimental results demonstrate that the proposed stereo image quality evaluation model has high superiority over existing methods and achieve higher consistency with subjective quality assessments.
- Learning deep part-aware embedding for person retrieval28
An improved triplet loss is introduced such that the global feature representations from the same identity are closely clustered and a localization branch is proposed to automatically localize those discriminative person-wise parts or regions, only using identity labels in a weakly supervised manner.
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- A unified EM approach to bladder wall segmentation with coupled level-set constraints28
A unified expectation-maximization (EM) approach to the maximum-a-posteriori (MAP) solution of bladder wall segmentation is proposed, by integrating a novel adaptive Markov random field (AMRF) model and the coupled level-set (CLS) information into the prior term.
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- An Efficient Multi-scale Overlapped Block LBP Approach for Leaf Image Recognition26
An effective method based on multi-scale overlapped block LBP based on Histogram of Oriented Gradients method and Inner-Distance Shape Context method for plant leaf image recognition achieves better performance than IDSC and HOG.
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- Multi-Scale Context Aggregation Network with Attention-Guided for Crowd Counting25
A multi-scale context aggregation network (MSCANet) based on single column encoder-decoder architecture for crowd counting, which consists of an encoder based on dense context-aware module (DCAM) and a hierarchical attention-guided decoder, which achieves better performance than other similar state-of-the-art methods.
- PCA-based magnification method for revealing small signals in video24
Experimental results show that the PCA-based EVM can support larger amplification factors for small changes visualization as well as less noise and artifacts.
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- Diagnosis, Treatment, and Management of Otitis Media with Artificial Intelligence22
Important concepts related to ML and AI are presented, how these technologies are currently being applied to diagnosing, treating, and managing OM are described, and the challenges associated with developing AI-assisted OM technologies in the future are discussed.
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- Use of Silver Nanoparticle–Gelatin/Alginate Scaffold to Repair Skull Defects20
The 200 μM AgNP–Gel/Alg scaffold was shown to be more suitable for bone tissue engineering materials and exerted a marked osteogenic effect in vivo.
- Oil Spill Segmentation in Ship-Borne Radar Images with an Improved Active Contour Model20
The proposed improved Active Contour Model (ACM) achieves better results and higher operation efficiency than other automatic and semi-automatic methods for oil film detection in ship-borne radar images and provides a scientific basis to assess pollution scope and estimate the necessary cleaning materials during oil spills.
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- Local patch encoding-based method for single image super-resolution18
A new SR method based on local patch encoding (LPE) instead of traditional dictionary learning, which demonstrates the effectiveness of the LPE-based methods and the relationship between the proposed method and the anchored neighborhood regression methods is discussed.
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- Data-defined naïve Bayes (DNB) based decision scheme for the nonlinear mitigation for OAM mode division multiplexed optical fiber communication17
Compared with other nonlinear decision algorithms based on machine learning, such as support vector machine (SVM) or k-nearest neighbors (KNN), the digital signal processing complexity of the DNB algorithm is significantly reduced.
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- Theories and Applications of LBP: A Survey15
Traditional LBP is reviewed, several typical improvements are presented according to their different applications, and the conclusion and possible future work are suggested.
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- Convolution Filter Based Pencil Drawing and Its Implementation on GPU14
This paper presents a new pencil texture generating method that can conveniently generate the pencil drawing effect by convoluting the input image with the pencil filter, and then satisfies the requirement of real-time synthesis.
- Hierarchical Deep Features Progressive Aggregation for Remote Sensing Images Scene Classification13
The experimental results show that the proposed scene classification method of remote sensing images based on progressive aggregation (PA) with local and global cooperative learning is effective and robust in remote sensing scene classification.
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- Bladder wall thickness mapping for magnetic resonance cystography13
A surface-fitting strategy to minimize the discretization errors on the voxel-like borders and facilitate the thickness mapping on the three-dimensional patient-specific bladder model is investigated and results are preliminary but very promising with a noticeable improvement over the previous distance field-based approach.
- Artificial intelligence to automate assessment of ocular and periocular measurements12
The automated facial landmark detection network provided accurate and reliable periocular measurements and may help increase the objectivity of periocular measurements in the clinic and may facilitate remote assessment of patients with tele-health.
- MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detection12
This work introduced MedDet, which leverages the multi-teacher single-student knowledge distillation for model compression and efficiency, meanwhile integrating generative adversarial training to enhance performance, and customize the second-order nmODE to improve the model’s resistance to noise in MRI.
- Research on Information Security System of Ship Platform Based on Cloud Computing12
A ship information retrieval system based on cloud computing technology that adopts the fuzzy C-means clustering method for ships, the classification and processing of the subordinate characteristics of the information, the design of the ship network video monitoring system, and the algorithm of the video image detection are proposed.
- No-Reference Quality Assessment of Stereoscopic Videos With Inter-Frame Cross on a Content-Rich Database12
A comprehensive subjective evaluation of stereoscopic video quality in newly established TJU-SVQA databases that contain various contents, mixed resolution coding and symmetrically/asymmetrically distorted stereoscopic videos and proposes a new inter-frame cross map to predict the objective quality scores.
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- EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation11
A novel error attention refining network (ERA-Net) that is capable of learning and predicting the potential false predictions in a two-stage manner for effective retinal vessel segmentation and achieves state-of-the-art performance on two common retinal blood vessel datasets.
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- Occupancy Sensing and Activity Recognition with Cameras and Wireless Sensors11
It is found that packet loss due to wireless interference has a significant effect on time series classification and the convolutional neural networks significantly outperforms the conventional support vector machine method.
- Identity Encoder for Personalized Diffusion10
This work learns an identity encoder which can extract an identity representation from a set of reference images of a subject, together with a diffusion generator that can generate new images of the subject conditioned on the identity representation.
- Normal periocular anthropometric measurements in an Australian population10
An understanding of normal periocular dimensions is important in the evaluation of orbital disease across different ethnic groups and may serve as reference points for oculoplastic surgery and industry.
- An Experimental Comparison of Radio Transceiver and Transceiver-Free Localization Methods10
This paper presents an experimental performance assessment for localization systems using received signal strength (RSS) measurements from a wireless sensor network, and shows that transceiver-free localization methods are generally more accurate than trans receiver-based localization methods for a wireless Sensor network with high node density.
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- Motion-tolerant heart rate estimation from face videos using derivative filter9
By employing the proposed filtering method to pre-process the RGB signals before BVP signal extraction, a range of IPPG methods are improved to generate robust HR estimation results under realistic situations.
- On estimating the accuracy of monitoring methods using Bayesian error propagation technique9
A multi-sensor Bayesian data fusion approach is used which combines the information from the two sensing systems with the prior knowledge, including design information and the outcomes of laboratory calibration, to achieve a more accurate estimate of the cable load.
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- Detection, classification, and characterization of proximal humerus fractures on plain radiographs8
A convolutional neural network developed for fracture detection, classification, and identification of greater tuberosity displacement ≥ 1 cm, neck-shaft angle (NSA) ≤ 100°, shaft translation, and articular fracture involvement, on plain radiographs proficiently rule out proximal humerus fractures on plain radiographs.
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- Biomedical event causal relation extraction based on a knowledge-guided hierarchical graph network8
To better fuse knowledge, a Graph Edge-Cluster Attention Network (GECANet) is proposed, which effectively aggregates the context and hierarchical knowledge semantics under the guidance of cause-effect direction and confirms that fusing external knowledge can effectively guide the model to identify event causal relations.
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- Dynamic Texture Modeling Applied on Computer Vision Based Fire Recognition8
The algorithm proposed in this paper works on the second step of fire pixel classification, and parameters of the models are employed to determine the presence or absence of fire using the proposed recognition framework.
- An open source convolutional neural network to detect and localize distal radius fractures on plain radiographs7
This open-source algorithm effectively detects DRFs with high accuracy and localizes them with moderate accuracy and is the first radiograph-based CNN externally validated on patients from multiple hospitals.
- Application of a modified biological flocculant in total nitrogen treatment of leather wastewater7
Analysis of natural and flocculated precipitates in the wastewater showed that the modified bio-flocculant significantly changed several characteristics of the floc calculated particles; in addition, it promoted the removal of nitrogenous substances in the process of denitrification.
- Semi-Active Wavelength Division Multiplexing System Based on Pilot-Tone Relay Detection for 5G Centralized Front-Haul Network7
A semi-active wavelength division multiplexing (WDM) system based on pilot-tone relay detection is proposed and experimentally demonstrated for 5G centralized front-haul network, which is composed of a passive WDM multiplexer at active antenna unit (AAU), an active WDM equipment at distributed unit (DU) side, and several WDM optical modules in AAU and DU.
- Contourlet Transform Based Texture Analysis for Smoke and Fog Classification7
This paper proposes a novel texture analysis based algorithm which has the ability to classify smoke and fog more efficiently and the accuracy rate of this algorithm is 97%.
- The FUZZY-D-P-GA of Navigation Performance and Structure Characteristic of Ships7
The authors built up a new algorithm called FUZZY-D-P-GA which was based on the fuzzy optimization, the genetic algorithm, delicate variables’ segments thinking & parallel principle and it showed that this kind of algorithm had high efficiency and it was also reliable.
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- Multi-Scale Context Fusion Method with Spatial Attention for Accurate Crop Disease Detection6
Comparative evaluations with several mainstream and state-of-the-art models further validate the superior detection performance of YOLO-MSCM, offering a reliable and effective solution for accurate crop disease detection in complex scenarios.
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- HFA-MD: An Efficient Hybrid Features Analysis Based Android Malware Detection Method6
A new hybrid features analysis method aiming at Android malware detection is proposed, which obtains a hybrid feature vector by extracting the information of permission requests, API calls and runtime behaviors, and can improve the accuracy rate of malware detection compared with using static methods alone.
- Stereoscopic image quality assessment combining statistical features and binocular theory6
Combining binocular characteristics, an efficient no-reference stereoscopic image quality assessment according to binocular adding and subtracting channels is proposed and achieves high consistent with the subjective quality scores.
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- Detection of colonic polyp candidates with level set-based thickness mapping over the colon wall6
A novel pipeline to automatically detect initial polyp candidates (IPCs) from CTC images is presented and it is indicated that the presented pipeline can be incorporated into an existing CADe system to enhance the polyp detection power, especially for flat polyps.
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- Stereo Image Rain Removal via Dual-View Mutual Attention5
A new StereoIRR method, which incorporates a new Dual-view Mutual Attention (DMA) mechanism which generates mutual attention maps by taking left and right views as key information for each other to facilitate cross-view feature fusion and outperforms other related monocular and stereo image rain removal methods on several datasets.
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- Oil Style Image Generation via Fluid Simulation5
Experimental results show that the proposed method can be used efficiently to create oil paintings similar to some Van Gogh's style from a Photograph, which can represent the variability of lighting conditions on artistic painting.
- Open-source convolutional neural network to classify distal radial fractures according to the AO/OTA classification on plain radiographs4
The presented algorithm has demonstrated excellent accuracy in classifying type 2R3A DRFs and excluding DRFs and poor to moderate accuracy is observed in classifying 2R3B and 2R3C DRFs according to the AO/OTA system, similar to limited surgeons’ inter-observer agreement.
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- Deep intelligent network for device-free people tracking4
This work proposes to use deep neural networks together with visual tracking systems to effectively generate training data so as to learn a general model for RF sensor network measurements without the need for manual RF model parameter tuning.
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- Digitization of Culture Heritage Based on Tour into the Picture4
The application of TIP for digitization of Culture Heritage is introduced by using relative depth calculation and cubic panorama and stylized interactive and real-time scenes walkthrough is provided so as to convey a kind of specific cultural spirits.
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- Cross-Dataset-Robust Method for Blind Real-World Image Quality Assessment3
Experimental results on cross-dataset tests show that the performance of the proposed method is even better than some SOTA methods that are directly trained on these datasets, thus verifying the robustness and generalization of the method.
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- Bendamustine in the treatment of patients with indolent non‐Hodgkin lymphoma refractory or relapse to rituximab treatment: An open‐label, single‐agent, multicenter study in China3
This study aims to investigate the efficacy and tolerance of bendamustine hydrochloride developed in native Chinese corporation in the treatment of patients with R/R iNHL.
- Person Re-ID Testbed with Multi-Modal Sensors3
A person Re-ID testbed with multi-modal sensors is created, allowing the collection of sensing modalities including RGB, IR, depth, WiFi, radar, and audio, which will cover normal daily office activities with large time span over multi-seasons.
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- Poster3
A radio-based human activity monitoring system with a low-cost Doppler sensor and a pair of radio frequency (RF) sensors that is capable of detecting subtle human motion such as breathing, as well as walking in a large area.
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- Computational Graph Model for 3D Cells Tracking in Zebra Fish Datasets3
A novel technique for tracking and identification of zebra‐fish cells in 3D image sequences, extending graph‐based multi‐objects tracking algorithm to 3D applications by segmenting from original datasets using 3D level‐set algorithms.
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- Automated facial nerve identification in microsurgery with an improved unet2
In various complex microsurgical environments including blood, occlusion, and blurriness, the proposed model can detect and segment Facial Nerve precisely and is highly promising in providing real-time intraoperative guidance of the critical anatomical structures in microsurgery.
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- Xpress: The 10AI Speech Synthesis System for Blizzard Challenge 20232
Evaluation results demonstrate the proposed 10AI text-to-speech system ”Xpress” with competitive effectiveness in both MOS quality and MUSHRA evaluation, and leading quality in both SUS and HOMOS intelligibility assessments.
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- IBCL-425 Disease Burden and Treatment Patterns of Relapsed/Refractory Follicular Lymphoma: A Systematic Literature Review2
Trends of worsening clinical and humanistic outcomes and increasing healthcare cost in later LOT were consistently observed, highlighting the need for innovative options to increase the percentage of patients who benefit from extended treatment duration and response.
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- A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation2
This paper introduces gradient boosting framework to deep classification model and proposes a gradient boosting network called BoostNet, which achieves superior results to existing deep OD and OC segmentation networks on the public dataset ORIGA.
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- Occupancy and Activity Monitoring with Doppler Sensing and Edge Analytics: Demo Abstract2
A dual Doppler sensor is designed to achieve high signal sensitivity and wide sensing range, and signal filtering, detection and machine learning algorithms on an embedded computer to generate classification result in real-time are developed.
- A Performance Evaluation of Local Descriptors, Direction Coding and Correlation Filters for Palm Vein Recognition2
The experimental results show that the methods based on direction information can achieve better recognition performance than local descriptor, direction coding and correlation filters-based methods.
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- Interworking of GMPLS Control and Centralized Controller Systems1
This document describes how the GMPLS distributed control plane can interwork with a centralized controller system in a transport network.
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- Accelerated Extraction of Parasitic Capacitance in Metal Interconnects using Floating Random Walk Method1
Experimental results reveal that, compared to traditional electromagnetic simulation tools such as ANSYS Maxwell, the proposed method achieves up to 120 times faster capacitance extraction, with accuracy deviations contained within 20%.
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- Localization of people using received signal strength measurements in wireless sensor networks1
This dissertation focuses on localization of people in wireless sensor networks using radio frequency (RF) signals, specifically received signal strength (RSS) measurements, and proposes a new DFL system that is capable of locating both moving and stationary people without using "empty-room" offline calibration.
- Face recognition based tensor structure1
A novel tensor structure of face image is proposed to represent image features with eight directions for a pixel value, and many difficultly recognized samples can correctly be recognized, and the recognition rate is increased by 9%-11% in comparison with same type of algorithms.
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- Tour into Virtual Environment in the Style of Pencil Drawing1
A new pencil texture generating method based on the pencil filter is designed, which can conveniently generate the pencil drawing effect by convoluting the input image with a pencil filter, and a modeling scheme for TIPbased on the cubic panorama is proposed.
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- Research on Digital Cartoon Produced by MAYA1
This paper discusses about application characters and skills of MAYA used in digital cartoon, and analyses the developing trend of MayA technology and its important effect on digital cartoon with computer.
- Non-photorealistic Tour into Panorama1
A new algorithm for fast converting a photo or image to a synthesized painting following the painting style of an example image is designed, and a new modeling scheme for TIP based on the cubic panorama is proposed, which not only overcomes the disadvantage of fixed viewpoint in browsing panorama, but also models easily and computes simply.
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- Sound source localization based on data and neural network model–
Experimental findings demonstrate that the neural network-based localization algorithm exhibits robust localization accuracy across diverse environmental conditions.
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- Hopes and challenges: Translational medical research in bladder cancer–
Biomarkers have been developed as part of a new detection kit for the early screening, diagnosis and recurrence monitoring of bladder cancer through translational medicine.
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- Layered Path Planning with Human Motion Detection for Autonomous Robots–
This method enables robots to navigate robustly in a large-scale 3D environment with regular human activities, and it significantly reduces computing workload with proposed Reactive Key Cost Map (RKCM).
- Improved Survey Propagation on Graphics Processing Units–
An improved survey propagation (SP) algorithm to solve the Boolean satisfiability problem on GPUs is proposed with methods of changing data flow, parallel computing, and hiding communication.
- Robust respiration monitoring using low-cost doppler sensor and wireless network–
The experimental results show that the respiration rate estimation is more accurate by sensor fusion of these two radio frequency (RF) sensing modalities.
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- Sketch Simulating Based on Non-Photorealistic Rendering–
Experimental results show that the proposed method can simulate the real sketch effect and can be enlarged and enhanced by the technique of improved line integral convolution, so the final sketch artistic image can be obtained.
- Genetic Algorithm-based High Web Flow Image Processing Technology–
The nature and characteristics of genetic algorithm are discussed, the application in the area of high web flow image processing technology based on genetic algorithm theory is analyzed and insight into its future trajectory is provided.
- Development of Hydraulic Support Maintenance Management System Based on Delphi–
Delphi is an object-oriented visual programming tool that provides the basic information of the hydraulic support and accessories, management and maintenance information, and become visualization, which solves many problems like too much workload, low efficiency, ect.
- Discussion on the Art of Combining the False and Truth in the Film and Television Animation–
This paper focuses on the application of the art of combining the false and truth in the film and television animation, so as to provide a reference for the better application ofArt of combining false and true in theFilm and televisionAnimation.
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- Application of VTS Approximation Based Feature Compensation Approach to Speech Recognition–
A practical feature compensation approach based on Vector Taylor Series approximation using explicit model of environmental distortion is proposed and performance of this practical VTS algorithm is much close to the best performance of the offline condition.
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- The Distributed Workflow Engine Model Design of the Space Test and Launch–
The proposed design model was rational and effective, it enabled changing the engine process dynamically and enhancing the flexibility of the engine system, and the performance and efficiency of the space test and launch system was improved greatly.
- On EPON Technology and Its Configuration of Voice and Data Service–
The copper access technology-ADSL is introduced, and it is held after a technical analysis that EPON technology is necessary direction in the future, andEPON technology principal, its structure and function are introduced.
- The imaging system design of three-line LMCCD mapping camera (EI CONFERENCE)–
The test results of LMCCD mapping camera imaging system can satisfy the requirements about the synchronous photography, the temperature control of focal plane module and SNR, which give the guarantee of precision for satellite photogrammetry.
- 'UK Employment and Skills Almanac 2009', Evidence Report 12, UK Commission for Employment and Skills–
- Maya and XSI、MAX Node Technology Analysis–
XSI, Maya, MAX is the world's most excellent 3D animation and special effects software.
- Research on memory model of ant colony agent–
A model of ant colony agent based on biological memory principles, which can track the latest development in real time, adjust and judge the current optimal path immediately and guide it and other ant agents to find the optimum path.
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- Distributed Workflow Execution Optimization of SBA Based on Service-Oriented Architecture–
Experimental results show that services grouping of a workflow can reduce the total overhead induced by the submission, scheduling, queuing and data transfer time and introduces a significant speed-up when compared to a traditional execution.
- Fast Vehicle-logo Location Based on Local Symmetrical Character–
A fast method of vehicle logo location was presented, which is based on the symmetrical character in both vehicle body area and vehicle logo area, and gets a more accurate vehicle logo rectangle area.
- The Research of Medical Image Edge Detect Method Base On VB–
This paper has analyzed principle of each kind of operators, and carries on the experiment to each operator with VB program, and according to the result, the comparison research to different algorithm is conducted.
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- Application and Development of Office Automation System–
Based on .NET platform technology and SQLServer2005 database, the paper advances a Network Office automation system that focuses on standard management system, and provides flexible office flow management.
- Development of Any Frequency Fire Rate SLR Control System–
The experimental results show that the any frequency fire rate control system can work very well at or less than 2 KHz, if there is a suitable high repetition rate laser instrument (up to several KHz), Changchun SLR system canWork at that frequency now.
- RTDBS of a Configuration Software–
This paper introduces the design of RTDBS of the configuration software, and the model of data object and the interface of RTDB, which is of open structure.
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- A Formal Method for Software Concurrent Engineering Process Modeling–
For the purpose of supporting the process modeling in software concurrent engineering (SCE), a formal method based on the Petri net is proposed in this paper and the detailed definition of the X-Petri net and the model-mapping rules are given.
- Technical Analysis of Workflow System in Siebel–
The workflow system of Siebel is analyzed and it is pointed out that the technology, such as the workflow rules, the workflow agent process based on triggers in database and etc, can be applied to the design and development of those large distributed workflow systems.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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