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检索条件"主题词=Software Algorithms"

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Design of a Portable Array PCR Instrument

Design of a Portable Array PCR Instrument

引用

Recent Advances in Systems Science and Engineering (RASSE), IEEE International Conference on

作者： Chunxiao Liu Jin Zhu Yushan Xie Zewen Yang Xiaobo Li Yun Yan College of Electronic and Information Jiangsu University of Science and Technology Zhenjiang jiangsu Province P.R.China

ISBN: (纸本)9781665434423

The PCR gene amplification instrument can replicate the gene sequence of the virus, and it can be used in the clinical medical and biology research of the virus. A new portable array PCR amplifier was designed to meet the shortcomings of large demand, large size and single amplification type in China. First, the hardware part of the system takes MSP430 single-chip computer as the main controller, it mainly contains modules such as temperature measuring, variable temperature, reaction tank, human-computer interaction and so on. Second, the designed reaction tank is arranged in a $4 \times 2$ array, enabling independent amplification of up to eight types of target DNA fragments. Then, the software part adopts modular design idea and fuzzy PID algorithm as the temperature control algorithm of the system, which can realize accurate temperature control of the reaction tank. The temperature of the designed system can be controlled between $20^{\circ}\mathrm{C}- 100^{\circ}\mathrm{C}$. Finally, the designed portable array PCR amplification instrument is tested. The experimental results show that the system can amplify many target DNA fragments with a temperature accuracy of about $0.3^{\circ}\mathrm{C}$, and the warming and cooling rates are approximately $2^{\circ}\mathrm{C} /$s. The system has small volume, light weight and easy to carry, and has a good prospect in application.

关键词： Temperature measurement Human computer interaction Temperature distribution Instruments software algorithms DNA Biology

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Lightweight Denial of Service (DOS) Detection System Algorithm (LIDSA)

Lightweight Denial of Service (DOS) Detection System Algorit...

引用

International Conference on Advanced Communication Technology (ICACT)

作者： Abdul Fuad Abdul Rahman Azni Ab Halim Shazwani Salleh Nur Farahin Jamaludin Nurul Syazwani Kamarulzaman Madihah Zulfa Mohamad CyberSecurity Malaysia Cyberjaya Malaysia Faculty of Science and Technology Universiti Sains Islam Malaysia (USIM) Malaysia

ISBN: (数字)9791188428069

ISBN: (纸本)9781665447027

The Internet of Things (IoT) is becoming an increasingly growing topic. IoT encompasses everything connected to the internet. IoT requires multi-facet security solutions where the communication is secured with confidentiality, integrity, and service availability. However, IoT Sensor Node has the requirement to minimize power usage and computational power due to the requirement to be miniature. Therefore, the challenge of implementing security in the IoT Sensor Node must be addressed. Even if the IoT Sensor Node is protected with encryption and authentication, the protection is not comprehensive to sustain a Denial of Service (DoS) attack. The DoS attack is considered one of the security threats that may affect IoT network's quality service and reduce IoT Sensor Node's lifespan. Hence, mitigation shall be needed to secure IoT Sensor Node. This paper aims to propose a lightweight Denial of Service (DoS) Detection Systems algorithm to secure IoT Sensor Node. The approach uses data from previous experiments and translated it to develop mitigation to secure IoT Sensor Node, thus increasing IoT Sensor Node's lifespan.

关键词： software algorithms software Hardware Encryption Internet of Things software measurement Testing

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Distributed and Modular Automotive Power Network Management Based on Auction Theory

Distributed and Modular Automotive Power Network Management ...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Tobias Schürmann Alrisyadani Rafles Stefan Schwab Sören Hohmann FZI Research Center for Information Technology Karlsruhe Germany Institute of Control Systems (IRS) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany

ISBN: (纸本)9781665442084

In recent years, the amount of electric and electronic components in the automotive power network (APN) has increased significantly. With regard to autonomous driving, telecommunication, infotainment, and other comfort functionalities, a further growing complexity in the APN is emerging. Additionally, the still requested customization of cars leads to more variants, models, and decoupled development cycles in terms of software and hardware. To ensure a flexible APN design, this paper demonstrates a modular approach for the power management combining auction theory and service-oriented architecture (SOA) for APNs with multiple voltage levels. The presented algorithm facilitates distributed decision-making by the growing number of components in the network regarding their power consumption. Hence, the individual components adapt their behavior in terms of component states and the APN condition. Furthermore, the SOA paradigm ensures the scalability and fault tolerance of the proposed algorithm.

关键词： Fault tolerance Power demand Fault tolerant systems software algorithms Prediction algorithms software Hardware

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Research on Mining of Government Data Based on Enhanced-Object Exchange Model

Research on Mining of Government Data Based on Enhanced-Obje...

引用

IEEE International Conference on software Quality, Reliability and Security (QRS)

作者： Keiin Sa Yu Bai Chenggang Wang Big Data Application on Improving Government Governance Capabilities National Engineering Laboratory Guiyang China College of Computer Science and Technology Harbin Engineering University Harbin China Southwest China Institute of Electronic Technology Chengdu China

ISBN: (纸本)9781665458146

In order to acquire the required knowledge from the vast amounts of government affairs data, accurate data mining has important practical significance. Therefore, a precision mining method of government affairs big data based on E-OEM model is studied. The method firstly uses web crawlers to capture the vast amounts of government data. Government data then performs data cleaning, pattern normalization, format standardization, index information collection and pre-processing, and finally, according to the purpose of data mining, the Kirkpatrick model is used to complete the mining effect evaluation. Experimental comparison specifically includes correlation analysis, cluster analysis, classification analysis, exception analysis and evolution analysis as well as five others. The results show that: compared with the three methods in previous studies, the F1-score obtained by the application of the research method is higher (0.852), which proves that the quality of government affairs big data mining is better.

关键词： Adaptation models Government software algorithms Standardization software quality Big Data Data models

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EnHMM: On the Use of Ensemble HMMs and Stack Traces to Predict the Reassignment of Bug Report Fields

EnHMM: On the Use of Ensemble HMMs and Stack Traces to Predi...

引用

IEEE International Conference on software Analysis, Evolution and Reengineering (SANER)

作者： Md Shariful Islam Abdelwahab Hamou-Lhadj Korosh Koochekian Sabor Mohammad Hamdaqa Haipeng Cai Concordia University Montreal QC Canada Polytechnique Montreal Montreal QC Canada School of Electrical Engineering and Computer Science Washington State University Pullman WA USA

Bug reports (BR) contain vital information that can help triaging teams prioritize and assign bugs to developers who will provide the fixes. However, studies have shown that BR fields often contain incorrect information that need to be reassigned, which delays the bug fixing process. There exist approaches for predicting whether a BR field should be reassigned or not. These studies use mainly BR descriptions and traditional machine learning algorithms (SVM, KNN, etc.). As such, they do not fully benefit from the sequential order of information in BR data, such as function call sequences in BR stack traces, which may be valuable for improving the prediction accuracy. In this paper, we propose a novel approach, called EnHMM, for predicting the reassignment of BR fields using ensemble Hidden Markov Models (HMMs), trained on stack traces. EnHMM leverages the natural ability of HMMs to represent sequential data to model the temporal order of function calls in BR stack traces. When applied to Eclipse and Gnome BR repositories, EnHMM achieves an average precision, recall, and F-measure of 54%, 76%, and 60% on Eclipse dataset and 41%, 69%, and 51% on Gnome dataset. We also found that EnHMM improves over the best single HMM by 36% for Eclipse and 76% for Gnome. Finally, when comparing EnHMM to ***, a recent approach in the field, we found that the average F-measure score of EnHMM improves the average F-measure of *** by 6.80% and improves the average recall of *** by 36.09%. However, the average precision of EnHMM is lower than that of *** (53.93% as opposed to 56.71%).

关键词： Support vector machines Training software maintenance Machine learning algorithms Computer bugs software algorithms Hidden Markov models

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Research on the Location and Path Optimization of Joint Distribution of Fresh Food Cold-Chain Logistics in the Context of Big Data

Research on the Location and Path Optimization of Joint Dist...

引用

Smart and Healthy Cities (ISHC), International Symposium on

作者： Zhong Zheng Wenting Huang Nanning University Nanning China

ISBN: (纸本)9781665467445

At present, consumers' demand for cold-chain logistics becomes more time-sensitive and more personalized. With the application of big data technology, logistics distribution has changed from passive response to forward response through scientific prediction and monitoring. Considering the problems such as low resource integration and broken chain in China's fresh cold-chain distribution, this paper takes Wuming fertile orange as an example, puts forward the common distribution mode of fresh cold-chain logistics, and uses SPSS cluster analysis to determine the distribution center. The mathematical model is established and the optimal distribution path is obtained with the help of Lingo software. After using big data to accurately identify and predict consumer demand, the timeliness of cold-chain logistics distribution is effectively improved and the cost of cold-chain logistics distribution is reduced. At the same time, the cooperation among enterprises is promoted and the utilization rate of cold-chain resources is improved. This study provides some references for cold-chain logistics distribution.

关键词： Costs Urban areas software algorithms Big Data Programming software Mathematical models

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Simulation and Experiment of Distributed Drive Hybrid Multi-Axle Heavy-Duty Truck Dynamics Control Algorithm

Simulation and Experiment of Distributed Drive Hybrid Multi-...

引用

Chinese Automation Congress (CAC)

作者： Hang Li Jianqiu Li Jiayi Hu Jiachen Dong Zunyan Hu Liangfei Xu Minggao Ouyang School of Vehicle and Mobility Tsinghua University Beijing China

ISBN: (纸本)9781665426480

The electric wheel is a power device which is used to directly drive the vehicle by installing a hub motor on the wheel rim. Distributed drive vehicles utilize the vehicle control unit (VCU) to precisely control the torque and speed of each electric wheel, enabling precise and complex vehicle dynamics control. Independently controlled electric wheels provide more observers and actuators for vehicle dynamics control, as well as higher difficulty and requirement for vehicle dynamics control algorithms, especially for multi-axle distributed drive vehicles. Aiming at distributed drive hybrid multi-axle heavy-duty truck, this paper proposes a dynamics control algorithm. The algorithm uses a hierarchical control structure, including longitudinal and lateral dynamics control strategies, as well as low-layer control functions such as traction control system (TCS), anti-lock braking system (ABS) and braking torque distribution, etc. On the MATLAB/Simulink software platform, the vehicle model was established and the simulation test of the dynamics control algorithm was carried out. The dynamics control algorithm of this paper was applied to an actual liquid hydrogen fuel cell heavy-duty truck of the Beijing Municipal Science and Technology Commission project. Simulation and road test results verified the feasibility, accuracy and real-time performance of the algorithm.

关键词： Torque Heuristic algorithms Roads software algorithms Wheels Drives Traction motors

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VLSI Hardware Architecture of Stochastic Low-rank Tensor Decomposition

VLSI Hardware Architecture of Stochastic Low-rank Tensor Dec...

引用

Asilomar Conference on Signals, Systems & Computers

作者： Lingyi Huang Chunhua Deng Shahana Ibrahim Xiao Fu Bo Yuan Rutgers University School of Electrical Engineering and Computer Science Oregon State University

Canonical polyadic decomposition (CPD) is one of the most popular tensor decomposition approaches used in various practical applications. Recently, AdaCPD, a doubly randomization-based reduced-complexity CPD, is proposed with exhibiting high decomposition performance. However, facing the similar challenges of all the other dense tensor-oriented decomposition methods, AdaCPD is still computation-intensive and thus poses severe challenges for practical deployment on resource-constrained platforms and real-time applications. In this paper, we propose an efficient hardware architecture for AdaCPD accelerator. With customized hardware design and memory optimization at the architecture level, the proposed AdaCPD hardware accelerator enables significant performance improvement than conventional software implementation. Evaluation results show that this customized hardware design only occupies 1.6 mm 2 area and consumes 300 mW power with CMOS 28nm technology, thereby bringing 6762 times and 1483 times reduction over the software implementation on Intel Core i9-9900K CPU in terms of area and energy efficiency, respectively.

关键词： Tensors software algorithms Neural networks Random access memory Computer architecture Very large scale integration Hardware

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Circuit reliability prediction: challenges and solutions for the device time-dependent variability characterization roadblock

Circuit reliability prediction: challenges and solutions for...

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Latin American Electron Devices Conference (LAEDC)

作者： M. Nafria J. Diaz-Fortuny P. Saraza-Canflanca J. Martin-Martinez E. Roca R. Castro-Lopez R. Rodriguez P. Martin-Lloret A. Toro-Frias D. Mateo E. Barajas X. Aragones F. V. Fernandez Universitat Autonoma Barcelona Bellaterra Spain Instituto de Microelectronica de Sevilla IMSE-CNM (CSIC/Universidad de Sevilla) Seville Spain Universitat Politecnica de Catalunya Barcelona Spain

The characterization of the MOSFET Time-Dependent Variability (TDV) can be a showstopper for reliability-aware circuit design in advanced CMOS nodes. In this work, a complete MOSFET characterization flow is presented, in the context of a physics-based TDV compact model, that addresses the main TDV characterization challenges for accurate circuit reliability prediction at design time. The pillars of this approach are described and illustrated through examples.

关键词： Semiconductor device modeling MOSFET software algorithms Predictive models Reliability engineering software software reliability

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Comparison of GNSS Solution Errors Using an Atomic Clock or Crystal Oscillator

Comparison of GNSS Solution Errors Using an Atomic Clock or ...

引用

Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)

作者： Vladimir Pudlovsky FSUE “VNIIFTRI” Moscow region Mendeleevo Russia

The errors of navigation determinations based on GNSS signals are compared when using an atomic clock (quantum frequency standard) or a reference crystal oscillator in navigation equipment. Under the conditions of reducing the number of navigation signals to three only for the receiver with an atomic clock, the error in determining the coordinates did not exceed 10m for several tens of minutes when using the extended Kalman filter algorithm without a separate forecast of the receiver's time scale.

关键词： Global navigation satellite system Satellites software algorithms Measurement uncertainty Receivers Crystals Satellite navigation systems

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