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Optimal Design of FIR Filter Based on Improved Artificial Bee Colony Algorithm 21

Optimal Design of FIR Filter Based on Improved Artificial Be...

引用

21st international symposium on distributed computing and applications for business engineering and science, DCABES 2022

作者： Fang, Changsheng Huang, Xiangwei Xia, Kewen School of Electronics and Information Engineering Hebei University of Technology Tianjin300401 China Glasgow College University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9781665454629

The optimal design of FIR filter is very important, and using artificial bee colony algorithm can optimize fir parameters, but it also has the disadvantages of slow convergence speed and easy to fall into local optimum. Therefore, an improved artificial bee colony algorithm is proposed in the paper, which introduced the random disturbance term of chi-square distribution and convergence operator. The improved algorithm is applied to the parameter optimization design of low-pass and band-pass FIR filters, and the design effect is remarkable, especially the filter has small ripple in the passband and stopband, flat amplitude, and good attenuation characteristics. © 2022 IEEE.

关键词： FIR filters

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A study of the influence of different opinion leaders on the evolution of followers' views in social e-commerce networks 20

A study of the influence of different opinion leaders on the...

引用

20th international symposium on distributed computing and applications for business engineering and science, DCABES 2021

作者： Jiang, Jianhong Wang, Li School of Business Guilin University of Electronic Technology Guilin China

ISBN: (纸本)9781665428897

In the recently emerged social e-commerce platforms, online opinion leaders play a crucial role. Based on the finite trust model in opinion dynamics and combined with the actual situation of social e-commerce platforms and research literature, this paper divides opinion leaders into 'Big-V' type opinion leaders and authoritative opinion leaders, and divides followers into ordinary followers and fans, and constructs different opinion leaders in social e-commerce networks based on bounded trust and self-confidence degrees - the follower opinion evolution model. The influence of different opinion leaders on the evolution of followers' views is explored through multi-agent simulation. It is found that opinion leaders play an important role in the aggregation of views, and the breadth of follower coverage of 'Big-V' type opinion leaders makes them more influential and able to gain more strong supporters than authority-type opinion leaders. © 2021 IEEE.

关键词： Multi agent systems

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Research on Vehicle ECU Application Program Update System Based on SAE J1939 Protocol 21

Research on Vehicle ECU Application Program Update System Ba...

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21st international symposium on distributed computing and applications for business engineering and science, DCABES 2022

作者： Luo, Cheng'e School of Information Engineering Wuhan Huaxia Institute of Technology Wuhan China

ISBN: (纸本)9781665454629

Aiming at the problems of cumbersome update operation, high hardware cost, complicated protocol design, and inability to roll back if the update fails, a set of automotive electronic control unit ECU application update system was developed. The software of the upper computer update control platform was developed, and the target ECU was realized based on the STM32 controller. The system structure mode was designed as the client-server mode, and the two ends of the system were connected through the USB-CAN adapter to realize the real-time communication of the system. Based on the startup control program and the In Application Programmable (IAP) method, the target ECU Flash programming was carried out to realize the convenient update operation. Handshake communication, packet serial number verification, retransmission, application storage partition and other designs realize stable and reliable communication process, and updates can be rolled back. © 2022 IEEE.

关键词： Controllers

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Research on Detection Method of Abnormal Trajectory of Port Operation Vehicles 20

Research on Detection Method of Abnormal Trajectory of Port ...

引用

20th international symposium on distributed computing and applications for business engineering and science, DCABES 2021

作者： Li, Shuaihui Liu, Hongxing Yao, Hanbing School of Computer Science and Technology Wuhan University of Technology Wuhan China Hubei Provincial Key Laboratory of Transportation Internet of Things Technology Wuhan China

ISBN: (纸本)9781665428897

Port operation vehicles are mainly responsible for the transshipment of goods. If there is inadequate supervision in the process of transshipment it is easy to cause such behaviors as cargo leakage, cargo theft and illegal parking of drivers, which cause economic losses to the port. In order to discover such behaviors in time, the unsupervised anomaly detection algorithm Self-encoder-based Deep Feature Fusion Model(S-DFFM) is proposed to judge whether the trajectory of operation vehicles is abnormal or not. The method comprehensively characterizes the trajectory by fusing the shallow features of low-dimensional trajectory and the deep features of high-dimensional trajectory, which frees the trajectory from the limitation of spatial attributes. The experimental data adopts the real trajectory data of one month (7,547 trips) of operating vehicle trajectories of a port in Chongqing, and the experimental results show that S-DFFM can better represent the trajectory features, and the accuracy of trajectory abnormality detection using S-DFFM is as high as 96%. © 2021 IEEE.

关键词： Trajectories

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Efficient Matricization of n-D Array with CUDA and Its Evaluation 19

Efficient Matricization of n-D Array with CUDA and Its Evalu...

引用

19th IEEE international Conference on Computational science and engineering, 14th IEEE international Conference on Embedded and Ubiquitous computing and 15th international symposium on distributed computing and applications to business, engineering and science, CSE-EUC-DCABES 2016

作者： Shaikh, Md Abu Hanif Hasan, K.M. Azharul Ali, G.G. Md. Nawaz Chafii, Marwa Chong, Peter Han Joo Computer Science and Engineering Khulna University of Engineering and Technology Bangladesh School of Electrical and Electronic Engineering Nanyang Technological University Singapore CentraleSupélec IETR Campus de Rennes Cesson-Sévigné-Cedex35576 France Department of Electrical and Electronic Engineering Auckland University of Technology New Zealand

ISBN: (纸本)9781509035939

Scientific and engineering computing requires operation on flooded amount of data having very high number of dimensions. Traditional multidimensional array is widely popular for implementing higher dimensional data but its' performance diminishes with the increase of the number of dimensions. On the other side, traditional row-column view is facile for implementation, imagination and visualization. This paper details a representation scheme for higher dimensional array with row-column abstraction on parallel environment. Odd dimensions contribute along row-direction and even dimensions along column direction which gives lower cost of index computation, higher data locality and parallelism. Each 2-D block of size blockIdx.x × threadIdx.x is independent of each other. Theoretically, it has no limitation with the number of dimensions and mapping algorithm is unique for any number of dimensions. Performance of the proposed matricization is measured with matrix-matrix addition, subtraction and multiplication operation. Experimental results show promising performance improvement over Traditional Multidimensional Array (TMA) and Extended Karnaugh Map Representation (EKMR). Thus the scheme can be used for implementing higher dimensional array in both general purpose and scientific computing on GPU. © 2016 IEEE.

关键词： Graphics processing unit

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BPMN++: Comprehensive business Process Modeling for Industrial Internet Application 20

BPMN++: Comprehensive Business Process Modeling for Industri...

引用

20th IEEE international symposium on Parallel and distributed Processing with applications, 12th IEEE international Conference on Big Data and Cloud computing, 12th IEEE international Conference on Sustainable computing and Communications and 15th IEEE international Conference on Social computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2022

作者： Cheng, Hangyu Kang, Guosheng Liu, Jianxun Wen, Yiping Cao, Buqing Wang, Zhen School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan China Hnust Hunan Provincial Key Lab. for Services Computing and Novel Software Technology Xiangtan China

ISBN: (纸本)9781665464970

business process management is the end-to-end business process modeling, analysis, and optimization to achieve business goals. business Process Modeling Notation (BPMN) is usually used to represent business process models. However, BPMN cannot support the intuitive modeling for some typical tasks in complex business scenarios of the Industrial Internet context, increasing the communication cost between modelers and business personnel. The current solutions try to extend the attributes of BPMN elements with annotations, but a large number of annotations makes business process models complex and cumbersome. This paper proposes to extend new business process modeling elements for Industrial Internet application scenarios based on BPMN extension mechanism, generating an extended business process modeling language, namely BPMN++. And an extended process modeling tool is implemented, which is available online. A case study over a real-world Industrial Internet process validates the usefulness of this extension mechanism and the well understandability of business process models. © 2022 IEEE.

关键词： Modeling languages

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Improved BiLSTM Model For Online Food Safety Risk Prediction 20

Improved BiLSTM Model For Online Food Safety Risk Prediction

引用

20th international symposium on distributed computing and applications for business engineering and science, DCABES 2021

作者： Zhang, Zekai Li, Mao Sun, Jun Chen, Qidong School Of Artificial Intelligence and Computer Science Jiangnan University WuXi China

ISBN: (纸本)9781665428897

The prediction of security risk is a new problem in the field of modeling. The value of food safety risk is dynamic, non-linear and non-stationary. In order to improve the prediction accuracy of non-stationary sequences, this paper proposes an improved time series prediction model of bidirectional long short-term memory network based on NS-ADAM optimization algorithm. By using NS-ADAM optimization algorithm, the non-stationary series can be approximately regarded as stationary series in a fixed window length. Combined with the advantages of two-way long-term and short-term network model to strengthen the correlation between current data and historical data, the combined network model significantly improves the prediction accuracy of non-stationary time series. The experimental results show that compared with the traditional integrated moving average autoregressive model and the conventional long-term and short-term memory network model, the improved model has higher prediction accuracy and better fitting effect for non-stationary series. © 2021 IEEE.

关键词： Food safety

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Dimensions of Internet Use and Threat Sensitivity: An Exploratory Study among Students of Higher Education 19

Dimensions of Internet Use and Threat Sensitivity: An Explor...

引用

作者： Farooq, Ali Balakrishnan, Lalitha Phadung, Muneeroh Virtanen, Seppo Isoaho, Johanna Poudel, Dhan Prasad Isoaho, Jouni Department of Information Technology University of Turku Turku Finland Chennai India Faculty of Science Technology and Agriculture Yala Rajabhat University Yala Thailand Nepal Engineering College Kathmandu Nepal

ISBN: (纸本)9781509035939

The property space of internet use has three dimensions: type of use, amount of use and variety of use. While internet is one of the sources of information security knowledge among students, the relationship of dimensions of internet use and information security awareness has not yet been explored. The purpose of this paper is to explore relationship between dimensions of internet use and, information security and privacy (IS&P) threats sensitivity-defined as the ability of a person to assess impact of a threat to their IS&P through perceived importance of a threat. Threat sensitivity is measured by calculating threat sensitivity scores for seventy four different IS&P threats in fourteen functional areas [13]. Using convenient sampling, a response set of 1280 was collected from the students of six higher education institutions in India, Malaysia, Nepal, Pakistan and Thailand. Dimensions of internet use are computed and their correlations are calculated with student's overall threat sensitivity. Only type of use is found significantly correlated with overall threat sensitivity. Application of ANalysis Of VAriance (ANOVA) shows that students are significantly different in overall threat sensitivity, if divided into groups based upon the type of internet use. Further, the relationship between dimensions of internet use and student's threat sensitivity within all fourteen functional areas was also examined. © 2016 IEEE.

关键词： Students

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A Method to Improve the Precision of 2-Dimensioanl Size Measurement of Objects through Image Processing 21

A Method to Improve the Precision of 2-Dimensioanl Size Meas...

引用

21st international symposium on distributed computing and applications for business engineering and science, DCABES 2022

作者： Yang, Erbing Wang, Meiqing Cheng, Hang Liu, Rong Chen, Fei College of Mathematics and Statistics Fuzhou University Fuzhou China College of Computer Science and Big Data Fuzhou University Fuzhou China

ISBN: (纸本)9781665454629

Aiming at the problem of two-dimensional size measurement of objects, in this paper, an image-based measurement model with a reference object is first proposed. The bounding boxes of the target objects and the reference are obtained through image processing technology which give the lengths of edges in pixel of objects. The reference object with known length of the edge is used to calculate the pixel unit, the actual size of a pixel and then the size of the target objects are obtained accordingly. Further, a correction model with four small reference objects is proposed to improve the measurement precision. The experimental results show the validity of the proposed models. © 2022 IEEE.

关键词： Pixels

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Multi-Scale Multi-Stage Single Image Super-Resolution Reconstruction Algorithm Based on Transformer 21

Multi-Scale Multi-Stage Single Image Super-Resolution Recons...

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21st international symposium on distributed computing and applications for business engineering and science, DCABES 2022

作者： Wang, Wei Zhu, Yinfang Ding, Dewu Li, Jing Luo, Yu School of Mathematics and Computer Science Yichun University Yichun336000 China School of Computer Science and Technology Guangdong University of Technology Guangzhou510006 China

ISBN: (纸本)9781665454629

In this paper, creatively combining Transformer with image super-resolution reconstruction, we proposes a multi-scale multi-stage single image super-resolution reconstruction algorithm based on Transformer (MSTN). The algorithm uses Transformer as a feature sharing module, thus it realizes network parameter sharing, dynamically focuses on the correlation between feature information of adjacent stages, and then extracts the high-frequency texture information embedded in the current stage features from the feature information learned in the previous stage, which achieves a coarse-to-fine enhancement of image reconstruction. Experiments show that our method can not only per-form better image super-resolution reconstruction compared with other advanced methods, but also reduce the network parameters to a great extent. © 2022 IEEE.

关键词： Computer vision

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