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检索条件"主题词=software algorithms"

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Wavelet Frequency Transformation for Specific Weeds Recognition

Wavelet Frequency Transformation for Specific Weeds Recognit...

引用

Artificial Intelligence and Data Analytics (CAIDA), International Conference on

作者： Shaban Habib Ishrat Khan Muhammad Islam Waleed Albattah Saleh Mohammed Alyahya Sheroz Khan Mohammad Kamrul Hassan College of Computer Qassim University Buraydah Saudi Arabia College of Computer and Inofrmation Science Prince Sultan University Riyadh Saudi Arabia College of Engineering and Information Technology Onaizah Colleges Saudi Arabia Center for Cyber Security Universiti Kebangsaan Malaysia Bangi Malaysia

ISBN: (纸本)9781665430418

Saudi Arabia is experiencing depleting water level which ultimately leading to having reduced level of weed and crops farms. The ongoing practice of watering for all kind of weeds at farms is manual which is laborious and slow besides waste of unregulated use of water. Therefore, there arises the need of automated water control, making the automated watering system as the viable option for precision weed control system. This paper has presented the development of real-time automated water sprinkle system for the target weeding area. The technique of wavelet frequency is developed as a software interface using MATLAB program detecting need of water sprinkling from the pictures of the leaves obtained. software-based results are applied to hardware for real-time grass detection and classification based on shape and density due to reason that the leaves may be wide open, shrunk and leaves those with curved in features. The real-time system is capable of thus deciding the proportionate amount of water needed to be sprinkled over the weeds using a purposely developed hardware system. The system can detect areas where more, more or less water is needed, through a high-accuracy connected camera.

关键词： Wavelet transforms software algorithms Feature extraction Cameras Real-time systems software Hardware

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A Novel Model Driven Approach for Trajectory-Based Technique of Autonomous Vehicle Route Prediction

A Novel Model Driven Approach for Trajectory-Based Technique...

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International Conference on Emerging Technologies, ICET

作者： Ali Nawaz Attique Ur Rehman Tahir Mohammad Ali Farooque Azam Yawar Rasheed Muhammad Waseem Anwar College of Art and Science Gulf University of Science and Technology Mubarak Al_Abdullah Kuwait College of E&ME National University of Sciences and Technology Islamabad Pakistan

ISBN: (纸本)9781665494380

The autonomous vehicle is one of the significant efforts toward the luxurious life. The process involves several technical difficulties like synchronized communication between different sensors, efficient response time etc. In this regard, route prediction is one of the critical tasks which requires the extensive knowledge of complex concepts due to its real time nature. Although there exist several studies in this area, most of them are focusing on accuracy while ignoring the importance of simplicity. Therefore, the research community is likely to be benefited through a route prediction approach that focuses on simplicity while preserving good level of accuracy. For this purpose, a model-driven approach is proposed in this paper for automating the complex process of trajectory-based route prediction of a fully autonomous vehicle. Particularly, a metamodel which is M2 level Ecore Model of standard meta-object facility is proposed for trajectory- based route prediction. Subsequently, a complete modeling tool is developed using Sirius platform. Finally, Model-to-Text transformations are applied to generate low level Java implementations with simplicity. The validation is performed through real world case study where autonomous vehicle gain data from different sensors and store that data in the cloud for route prediction by applying an autonomous multiple model algorithm. The results are highly encouraging for the efficient route prediction in autonomous vehicle with simplicity.

关键词： software algorithms Predictive models software Real-time systems Sensors Time factors Synchronization

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VLSI Hardware Architecture of Stochastic Low-rank Tensor Decomposition

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

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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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Platform for Digital Voice Communication with Channel-Based Key Generation

Platform for Digital Voice Communication with Channel-Based ...

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European Conference on Antennas and Propagation, EuCAP

作者： Jelle Jocqué Patrick Van Torre Jo Verhaevert Hendrik Rogier Ghent University - imec IDLab Zwijnaarde Belgium

This paper proposes a novel method for the integration of channel-based key generation in a real-time digital voice communication system. For this purpose, a specific hardware platform was developed. To obtain the keys for the cipher, channel-based key generation is used to generate identical keys on both sides of the channel, based on the unique reciprocal channel characteristics. Hamming code key reconciliation drastically reduces the probability of remaining key errors, while a cyclic redundancy check (CRC) is used as a final checking mechanism. As a proof of concept, the generated key is used to encrypt as well as decrypt the audio by means of an XOR operation at both sides of the link. Several measurements were performed, showing that new keys are continuously being formed and replaced. Additional measurements also create more insight into the key update rate and key entropy for different parameter settings in the algorithm.

关键词： Cyclic redundancy check Communication systems software algorithms Europe Hardware Entropy Real-time systems

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From ERL to RAMI: Expanding Marine Robotics Competitions Through Virtual Events

From ERL to RAMI: Expanding Marine Robotics Competitions Thr...

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OCEANS

作者： Gabriele Ferri Fausto Ferreira Alessandro Faggiani Tommaso Fabbri NATO STO Centre for Maritime Research and Experimentation (CMRE) Viale San Bartolomeo 400 La Spezia SP Italy LABUST Faculty of Electrical Engineering and Computing University of Zagreb Unska 3 Zagreb Croatia

ISBN: (纸本)9781665427883

Robotics competitions have the potential of engaging the future engineers and improving their technical and soft skills. In competitions, students are faced with unique challenges, usually not present in theoretical lectures. CMRE has been organising marine robotics competitions since 2010. Along the years, these have become more complex, including multi-domain cooperation and have become more applicative (from search and rescue to oil & gas). Similarly, there were changes in the scoring methodology and purpose of the competition. While the European Robotics League (ERL) Emergency has been running for a few years with search and rescue scenarios, recently, CMRE has been working on a new competition, the Robotics for Asset Maintenance and Inspection (RAMI), which expands the precise scientific scoring method of ERL Emergency to a metrological evaluation. RAMI competition inaugurates a new concept of having both physical and cascade (based on acquired data) competitions. This enlarges the competition to research communities typically not engaged in marine robotics such as the Artificial Intelligence (AI) community. This paper reports on the latest ERL Emergency event (held in 2019) and on the ongoing implementation of the new RAMI competition.

关键词： Measurement Autonomous underwater vehicles software algorithms Europe Maintenance engineering Inspection Benchmark testing

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Attack-based Automation of Security Testing for IoT Applications with Genetic algorithms and Fuzzing

Attack-based Automation of Security Testing for IoT Applicat...

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

作者： Steffen Lüdtke Roman Kraus Ramon Barakat Martin A. Schneider Business Unit Quality Engineering (SQC) Fraunhofer Institute for Open Communication Systems Berlin Germany

ISBN: (纸本)9781665478373

The Internet of Things (IoT) has increased the connectivity of systems and fueled the digitalization. However, IoT systems are prone to various security vulnerabilities that may lead to serious incidents that can cause physical harm and financial damage. The security of IoT systems is a major challenge for the their success. If vulnerabilities remain undetected, an attacker can exploit them remotely and thus, gain full access to confidential data, control the connected IoT devices with magnitudes of consequences. This paper presents an approach that exploits information on attacks detected and recorded at runtime to facilitate the development of security patches and uses the information to detect further vulnerabilities. This paper presents work in progress from an ongoing research project.

关键词： Runtime Conferences software algorithms software quality Fuzzing software reliability Internet of Things

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Gasser

Gasser

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

作者： Carmen Coviello Simone Romano Giuseppe Scanniello Giuliano Antoniol University of Basilicata Potenza Italy University of Bari Bari Italy Polytechnique Montreal Montreal Canada

Regression testing is an important activity that ensures a System Under Test (SUT) still works as expected after changes. Regression testing can be expensive in case of large Test Suites (TSs). Test Suite Reduction (TSR) approaches speed up regression testing by removing redundant test cases. These approaches can be classified as adequate or inadequate. Adequate approaches reduce TSs so that they completely preserve the test requirements (e.g., statement coverage) of the original TSs. Inadequate approaches produce reduced TSs that only partially preserve test requirements. An inadequate TSR approach is appealing when it leads to a higher reduction in TS size at the expense of a negligible loss in fault-detection capability. We defined an inadequate approach for TSR named GASSER (Genetic Algorithm for teSt SuitE Reduction). It is based on a multi-objective evolutionary algorithm, NSGA-II (Non-dominated Sorting Genetic Algorithm II). GASSER seeks to reduce TSs by maximizing both the statement coverage and diversity of test cases, and minimizing the size of the reduced TSs. We implemented GASSER in a Java prototype of a supporting tool and named it as the approach, namely GASSER. In this tooldemo paper, we present such a tool prototype as well as the results of a preliminary empirical study to assess the validity of both the approach and the tool prototype. A screen-cast of GASSER in action is available at https://***/20Uf1ugEvAQ.

关键词： Java Conferences software algorithms Prototypes Evolutionary computation Tools software

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Design and development of computational algorithm for real time synchronisation of diesel generator with solar power plant

Design and development of computational algorithm for real t...

引用

International Conference on Computer and Communications Technologies (ICCCT)

作者： S. Subha T. R. Sree Sahithya S. Smriti Aswathy S Kumar Sri Sairam Engineering College Chennai India

ISBN: (纸本)9781665414487

Diesel Generator (DG) sets are used in industries as backup power sources which will automatically start up when grid supply is lost. In order to reduce fuel consumption, DG sets are synchronized with solar power plants dually monitoring the load requirements in industries so that DG sets will work under the optimum condition of 30% load when excess solar power is available. There will be no problem when the load is higher than the solar power supply, solar power is fully consumed and the remaining power required for load is taken from DG. But, if the load is lesser than to the solar power supply after the load is fed using solar power, the remaining power left in solar will reverse back to the DG set which causes tripping and also damages the key components of the generator. To curb this problem, an electronic controller is designed to control the operation of DG and solar plants so that solar power can be used efficiently by using LabVIEW software.

关键词： Industries Power supplies software algorithms Production Generators Real-time systems software

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Decision Support System for the Application of Lean Healthcare in Stock Management in Health Facilities

Decision Support System for the Application of Lean Healthca...

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Decision Aid Sciences and Application (DASA), International Conference on

作者： Ana Agostinho Henrique Guilherme Sara Marcelino Tânia M. Lima Pedro D. Gaspar University of Beira Interior Covilhã Portugal C-MAST - Centre for Mechanical and Aerospace Science and Technologies University of Beira Interior Covilhã Portugal

ISBN: (纸本)9781665416351

The scarcity of consumables in health facilities has important implications for the quality of healthcare services, the user's well-being, and costs. The negative impacts associated with the lack of necessary products for the treatment of patients can be minimized by applying the Lean philosophy to stock management in healthcare facilities. Therefore, an easy-to-use virtual Kanban decision support system with low implementation costs was created. The quantitative model includes the calculation of maximum and minimum stocks for each item and makes it possible to determine the level of urgency for placing orders. This model presupposes the classification of items according to the level of demand, providing, depending on that classification, the quantity to be purchased. The inventory optimization system is described and then tested using the items of a first-aid kit.

关键词： Decision support systems Productivity Costs Philosophical considerations software algorithms Medical services Predictive models

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TS-SVM: Detect LDoS Attack in SDN Based on Two-step Self-adjusting SVM

TS-SVM: Detect LDoS Attack in SDN Based on Two-step Self-adj...

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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Boru Liu Dan Tang Yudong Yan Zhiqing Zheng Shihan Zhang Jiangmeng Zhou College of Computer Science and Electronic Engineering (CSEE) Hunan University Hunan China School of Physics and Electronics Central South University Hunan China

ISBN: (纸本)9781665416597

The Low-Rate Denial of Service (LDoS) attack is a new type of Denial of Service attack. Because of its adequate concealment, it is not easy to detect by conventional detection methods. The detection method using a Support Vector Machine (SVM) is feasible, but it has the defect of insufficient generalization ability; consequently, this paper proposes the LDoS attack detection method based on the Two-step Self-adjusting Support Vector Machine (TS-SVM). For the network traffic data, the Discrete Wavelet Transform is used as the feature extraction tool to decompose and reconstruct the network traffic, and the time-domain features such as the mean value of the traffic subband are selected for detection. Two kinds of SVM approaches of self-adjusting are put forward in this paper: to adjust the increasing degree of data dimension, and the other is to adjust the error tolerance. Next, the Adaptive Particle Swarm Optimization (APSO) algorithm is used to realize the two adjustment approaches, ultimately achieving the goal of ascension generalization ability. The detection model constructed has a higher detection effect. To verify the method's feasibility, experiments are carried out in a software Defined Network (SDN) created by the Mininet simulator and Ryu controller. By comparing the proposed method with the traditional SVM method, it is shown that the performance of this method is better than that of the method based on the traditional SVM. By comparing with the traditional LDoS detection methods, it is manifested that the detection accuracy of this method is 92.36%-96.65%, which is higher than the traditional detection methods.

关键词： Support vector machines Privacy Computational modeling software algorithms Telecommunication traffic Transforms Feature extraction

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