Computer Engineering Commons^™

Mrmark: A Machine Performance Evaluation Method For Three-Dimensional Video Fusion, Yifei Sun, Liangliang Cai, Zhou Yi, Zhou Zhong

Journal of System Simulation

Abstract: The three-dimensional video fusion system needs the calculation of video and graphics, and requires high machine performance. The existing commercial evaluation tools lack the corresponding considerations, which may cause the inconsistency of a machine's performance from the score. A machine performance evaluation method for three-dimensional video fusion is proposed and an evaluation tool MRMark is implemented. Several sets of standard 3D test scenes are designed according to the characteristics of the video fusion system, the statistics on the frame rate, the number of video channels played and the other parameters during the test are collected to calculate the …

Research On Highway Bim Perception And Engineering Evaluation Based On Virtual Reality, Zhaohui Wu, Zhiqiang Fu, Wang Liang, Dou Fei

Journal of System Simulation

Abstract: Virtual reality technology is a new way for the highway BIM to upgrade from 2D to 3D. Based on the analysis of the characteristics of highway engineering and the travel needs of traffic participants, five methods are proposed to perceive highway BIM and evaluate the engineering design results of different road users, including virtual driving, virtual flight, virtual riding, virtual walking and augmented reality. These methods provide technical and tool support for the people-oriented road BIM perception, engineering evaluation, collaborative work, and design optimization. The experiment tests show that virtual reality connects the BIM models with human perception, …

Icp Optimized B-Spline Non-Rigid Registration For 4d-Ct Images, Wenjie Tang, Ruotong Li, Xuesong Deng, Weixin Si, Wang Qiong

Journal of System Simulation

Abstract: In order to improve the accuracy and speed of registration between two groups of 4D-CT images under different physiological activities, based on FFD model of multi-resolution B-spline, a registration algorithm using ICP to optimize the model is proposed. The ICP algorithm is added before the traditional b-spline to realize the point cloud registration between two groups of 4D-CT images: the appropriate model is generated from the two segmented groups of 4D-CT images, then the two groups of point clouds in the model are registered with ICP. The improvement rates of similarity measurement at level 1, level 2 and …

Simulation Reach On Multi-Generation Digital Product Diffusion Based On Agent, Qiao Jian, Jingwen Xia, Wang Pan

Journal of System Simulation

Abstract: Digital products have the characteristics of multi-generation coexistence and diffusion, and the multi-generation product diffusion model is an important tool to study it. The existing models ignores some factors of the product, consumer and environment that significantly affect the diffusion process. A multi-generation digital product diffusion model is proposed by using the ABMS, fuzzy inference, complex network and utility theories. The experiment results show that the model can playback the diffusion process of iPhones, which indicates that the model has a good simulation/prediction capability when the historical data is sufficient, and can be a marketing analysis and decision-making …

Learning Expression Recognition Based On Image Sequence, Suqin Wang, Zhang Feng, Yudou Gao, Shi Min

Journal of System Simulation

Abstract: By recognizing the facial expressions, the emotional state of learner can be judged and their learning effect can be analyzed. Due to the persistence and timing of facial expressions, the sequence of facial images is adopted as the object of facial expression recognition. The Long Short Term Memory Network (LSTM) and VGGNet are combined into a VGGNET-LSTM model. On this basis, facial expression recognition is carried out, which significantly improves the accuracy of recognition. Based on the transfer learning method, VGGNet is transferred to the learning expression data set after being pre-trained through the basic expression data set CK+ …

An Adaptable Vr Software Framework For Collaborative Multi-Modal Haptic And Immersive Visual Display, Guo Yuan, Qianqian Tong, Yukai Zheng, Ziqi Wang, Yuru Zhang, Dangxiao Wang

Journal of System Simulation

Abstract: The spatiotemporal consistency of multi-modal haptic and immersive visual feedback, as well as the integration of hardware devices in the existing VR software framework, restricts the rapid development of visuo-haptic fusion scenarios in different industries such as medical, business, and entertainment. In order to tackle this problem, an adaptable VR software framework combining multi-modal haptic and immersive visual display is proposed. To meet the different requirements of visual rendering, haptic rendering and hardware control, the double-layer and three-layer architectures are devised according to the different precision requirements of visuo-haptic fusion feedback. Experimental results show that the framework has the …

Review On Finite Element Model For Anti-Riot Kinetic Projectile Thorax Blunt Impact, Wang Song, Renjun Zhan

Journal of System Simulation

Abstract: In order to promote the construction and verification of the finite element models of human thorax and non-lethal projectiles in the field of blunt ballistic impact, the detailed anatomical and analogous structures of the thorax finite element models are combed and five typical of them are compared and verified. The construction and verification methods of the typical non-lethal projectile models are refined and the impact injury assessment methods are summarized. The next research recommendations are given. In order to improve the accuracy and biological fidelity of the thorax model, it is necessary to establish the physical and finite …

Real-Time Leaf Recognition Method Based On Cnn Network And Multi-Task Loss Function, Xingquan Cai, Yuxin Tu, Yakun Ge, Zhe Yang

Journal of System Simulation

Abstract: Aiming at the problems that the traditional leaf recognition is susceptible to the environmental interference and is difficult to realize the multi-leaf real-time recognition in complex background, a real-time leaf recognition method based on CNN network and multi-task loss function is proposed. The CNN network is used to the extract image feature maps and input them into RPN network to generate regional proposals. On the basis of the feature maps and region proposals, the feature map is proposaled, the leaf classification and bounding box regression are performed respectively, and the leaf classification and position of the leaf prediction box …

Hyperspectral Image Anomaly Detection Based On Background Reconstruction, Xiaorui Song, Zou Ling, Lingda Wu, Wanpeng Xu

Journal of System Simulation

Abstract: In the anomaly detection of hyperspectral images (HSIs), aiming at the difficulty of distinguishing the abnormal target from the background and the low accuracy of background prediction, a new HSI anomaly detection algorithm based on background sparse reconstruction is proposed. An online dictionary learning method is used to estimate the background spectral dictionary. The estimated background image is sparse reconstructed by the learning dictionary. The estimated background image is subtracted from the origin image to get the residual image. The anomaly detection is achieved by using the local RX detector to traverse the residual image. The effectiveness of the …

Human Depth Maps Restoration Based On Guided Gan, Jingfang Yin, Dengming Zhu, Shi Min, Zhaoqi Wang

Journal of System Simulation

Abstract: The depth maps captured by a small depth camera on mobile devices suffer from the problem of severe holes. The Guided Generative Adversarial Network (Guided GAN) based on deep learning is proposed to restore human depth maps with above problems. The high-precision human segmentation features and depth class features are extracted from the monocular RGB image by the guider based on the stacked hourglass network. The holes in the human depth maps are filled by the special generator under the guidance of the extracted human features. In order to get the more realistic results, the discriminator is introduced …

Modeling And Visualization On Scalar Fields Of Meteorological Data, Shuoben Bi, Yucheng Gong, Mingyue Lu, Zhou Hao, Yuanxiang Mao

Journal of System Simulation

Abstract: There are still many deficiencies in efficiency, interactivity, and accuracy in the visualization of meteorological scalar fields. Aiming at these problems, a display method based on multi-level volume rendering technology is proposed, which processes the spatial field data to form a three-dimensional space grid. Through the dynamic mapping between the scalar values and the color values and transparency, the three-dimensional dynamic visualization effect of the meteorological scalar data is realized. Aiming at the interpolation method for the traditional MC (Marching Cubes) algorithm being not applicable to the meteorological data, and the connection method having ambiguity problem, the improvement method …

A Survey On Graph Representation And Visualization Techniques, Chen Yi, Menglu Zhang, Yuchai Wan

Journal of System Simulation

Abstract: A graph consists of nodes and edges, and represents the relationship between two or more entities. Graph-based analysis can help understand the structure and nature of the entity relationships and reveal the implicit relationships in graphs. The representation and visualization methods of graphs play an important role in the graph analysis. In graph visualization research, the accuracy of knowledge transfer and people's mental map, etc. should be considered first, then the graphs beauty, the time requirement, and the computer performance. The graph representation methods, graph layout algorithms, visualization methods based on node-link-graphs, adjacency matrices, and graph embedding are reviewed, …

Preloading Mechanism Of Large-Scale Web3d Scene Based On Dr Prediction, Huijuan Zhang, Xinqi Guo, Dongqing Wang, Jinyuan Jia

Journal of System Simulation

Abstract: In order to improve the loading efficiency of large-scale Web3D scene, a mechanism based on DR prediction is proposed. It combines the DR track prediction algorithm and historical path-based interest path clustering algorithm to track the field. The medium path prediction and path clustering in the traffic domain are applied to the virtual scene loading field, and a preloading mechanism of the Web3D scene is proposed. Experiment results show that the preloading mechanism can significantly improve the data transmission efficiency, optimize the loading speed of large-scale Web3D scene, and effectively improve the roaming experience of users in Web3D scene. …

Human Supremacy As Posthuman Risk, Daniel Estrada

The Journal of Sociotechnical Critique

Human supremacy is the widely held view that human interests ought to be privileged over other interests as a matter of ethics and public policy. Posthumanism is the historical situation characterized by a critical reevaluation of anthropocentrist theory and practice. This paper draws on animal studies, critical posthumanism, and the critique of ideal theory in Charles Mills and Serene Khader to address the appeal to human supremacist rhetoric in AI ethics and policy discussions, particularly in the work of Joanna Bryson. This analysis identifies a specific risk posed by human supremacist policy in a posthuman context, namely the classification of …

A Real-Time Feature Indexing System On Live Video Streams, Aditya Chakraborty, Akshay Pawar, Hojoung Jang, Shunqiao Huang, Sripath Mishra, Shuo-Han Chen, Yuan-Hao Chang, George K. Thiruvathukal, Yung-Hsiang Lu

Computer Science: Faculty Publications and Other Works

Most of the existing video storage systems rely on offline processing to support the feature-based indexing on video streams. The feature-based indexing technique provides an effec- tive way for users to search video content through visual features, such as object categories (e.g., cars and persons). However, due to the reliance on offline processing, video streams along with their captured features cannot be searchable immediately after video streams are recorded. According to our investigation, buffering and storing live video steams are more time-consuming than the YOLO v3 object detector. Such observation motivates us to propose a real-time feature indexing (RTFI) system …

Occ Future And Obstacles Under 5g Requirements, Noor Jihad, Sinan Abdul Satar

Emirates Journal for Engineering Research

Telecommunications specifications of the fifth-generation (5 G) are being established to satisfy the rising demands of high-speed broadband networks (i.e., a few tens of Gigabits every second). The 5 G standard derives primarily from a rising number of subscribers and a multitude of various apps, commonly referred to as smart devices, communicating as part of Internet-of-Things (IoT) network For 5 G, a few possible developments such as millimeter waves, large multiple-input multiple-output, and small cell connectivity have appeared. While such technologies will meet 5 G specifications, attention is being given to a complementary potential wireless optical wireless communication (OWC) system. …

Analysis Of Information Security Methods In Biosystems And Application Of Intelligent Tools In Information Security Systems, Sherzod Sayfullaev

Chemical Technology, Control and Management

In this paper, the methods of information protection in bio systems are studied. The paper considers the use of intelligent tools in information security systems and the use of adaptive information security systems. Several articles on the field of information protection in bio systems are analyzed. Disadvantages and advantages of neural network technologies in modern information security systems are described. The characteristics of bio systems and the specificity of DNA, the main features of the DNA code that provide information security and functional stability of bio systems data protection structure. Application of intelligent tools to create a comprehensive adaptive protection …

Non Infinite Stories: How Digital Allow To Create Infinite Reconformations Of A Text?, David Núñez

Electronic Literature Organization Conference 2020

Last year I presented at ELO, in Ireland, the Artistic piece "Bastard" a digital fiction that combine a fragmented novel to create 10x149 differents texts and optimized in 4 billions coherent stories with narrative structures. In Orlando we want to explain how the system works, theory and functioning, and invited all the members to produce they personal "infinite" fiction.

Non Infinite Stories is an electronic publishing house that creates a dynamic hyperliterature system to give each reader a unique book by using a digital combinatorial processes, specific narrative rules and optimization of fragmented works in chapters of short narrative blocks, …

Improved Cuckoo Search Algorithm Applied To Multi-Objective Optimization Of Crowd Evacuation, Chongjie Dong, Liu Yi, Peng Yong

Journal of System Simulation

Abstract: The crowd evacuation problem is a multi-objective optimization problem in large public places under the emergency, but because of the conflict between multiple objectives in multi-objective optimization problem, it is difficult to make the multiple targets achieve the optimal at the same time. The most popular solution is an evolution multi objective optimization algorithm for the characteristics of heuristic search of population and the partial order relation. Cuckoo search algorithm is a new search algorithm which was found in the behavior of cuckoo nest spawning lies, the basic cuckoo search algorithm is lack of vitality, and search is slow. …

Sliding Weighted Least Square Model For Short-Term Wind Power Prediction, Yanfeng Ge, Liang Peng, Liqun Gao, Junchang Zhai

Journal of System Simulation

Abstract: A new approach for wind power forecasting was proposed based on sliding window weighted recursive least squares for the defect of wind power short-term prediction in the traditional prediction methods. The historical data was weighted and the perturbation caused by the historical data was ruled out in this method, which focused on the current data on the result of prediction. This made the model have the adaptability to the change of the environment data. The harmony search algorithm was used to optimize the orders and the parameters of the predict model, which could improve the precision and accuracy of …