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检索条件"主题词=Software algorithms"

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Simulation Failure Robust Bayesian Optimization for Estimating Black-Box Model Parameters

Simulation Failure Robust Bayesian Optimization for Estimati...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Ankush Chakrabarty Scott A. Bortoff Christopher R. Laughman Mitsubishi Electric Research Laboratories Cambridge MA USA

ISBN: (纸本)9781665442084

Advances in modeling and computation have resulted in high-fidelity digital models capable of simulating the dynamics of a wide range of industrial systems. These models often require calibration, or the estimation of an optimal set of parameters, to reflect a system’s observed behavior. While searching over the parameter space is an inevitable part of the calibration process, models are seldom designed to be valid for arbitrarily large parameter spaces. Application of existing black-box calibration methods, therefore, often require repeatedly evaluating a model over a wide range of parameters. For some parameter combinations, the simulations could be unreasonably slow or fail altogether. In general, the shape of subregions in the parameter space that could result in simulation failure is unknown and near-impossible to ascertain analytically. In this paper, we propose a novel failure robust Bayesian optimization (FR-BO) algorithm that learns these failure regions from simulation data and informs a Bayesian optimization algorithm to avoid failure regions while searching for optimal parameters. This results in acceleration of the optimizer’s convergence and prevents wastage of time trying to simulate parameters with high failure probabilities.

关键词： Analytical models Shape Computational modeling software algorithms Estimation software Calibration

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Evaluating SZZ Implementations Through a Developer-Informed Oracle

Evaluating SZZ Implementations Through a Developer-Informed ...

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International Conference on software Engineering (ICSE)

作者： Giovanni Rosa Luca Pascarella Simone Scalabrino Rosalia Tufano Gabriele Bavota Michele Lanza Rocco Oliveto University of Molise Italy Software Institute @ USI Universita della Svizzera italiana Switzerland

ISBN: (纸本)9781665402965;9781665448314

The SZZ algorithm for identifying bug-inducing changes has been widely used to evaluate defect prediction techniques and to empirically investigate when, how, and by whom bugs are introduced. Over the years, researchers have proposed several heuristics to improve the SZZ accuracy, providing various implementations of SZZ. However, fairly evaluating those implementations on a reliable oracle is an open problem: SZZ evaluations usually rely on (i) the manual analysis of the SZZ output to classify the identified bug-inducing commits as true or false positives; or (ii) a golden set linking bug-fixing and bug-inducing commits. In both cases, these manual evaluations are performed by researchers with limited knowledge of the studied subject systems. Ideally, there should be a golden set created by the original developers of the studied systems. We propose a methodology to build a "developer-informed" oracle for the evaluation of SZZ variants. We use Natural Language Processing (NLP) to identify bug-fixing commits in which developers explicitly reference the commit(s) that introduced a fixed bug. This was followed by a manual filtering step aimed at ensuring the quality and accuracy of the oracle. Once built, we used the oracle to evaluate several variants of the SZZ algorithm in terms of their accuracy. Our evaluation helped us to distill a set of lessons learned to further improve the SZZ algorithm.

关键词： software algorithms Computer bugs Manuals Prediction algorithms Natural language processing software software engineering

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A Ratiocinative Concept of Algorithmic Trading using MACD Indicator

A Ratiocinative Concept of Algorithmic Trading using MACD In...

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International conference of Electronics, Communication and Aerospace Technology (ICECA)

作者： Parthkumar Kanani Jenish Karasariya Narendra Zadafiya Amit Nayak Chandubhai S. Patel Institute of Technology Charotar University of Science and Technology Anand India Devang Patel Institute of Advance Technology and Research Charotar University of Science and Technology Anand India

ISBN: (纸本)9781665435253

Algorithmic trading, otherwise known as black-box trading or plain machine-driven trading, can be referred as computing machine for making different trading-orders, using specific algorithmic program along with considering various aspects of the orders such as the time, buying or selling price and number of quantities to trade, or solely commencing the trade excluding human intercession. A rule-based trading approach is represented by this research by incorporating the concepts of MACD indicator and Exponential Moving Average (EMA). The study contains several things, starting from the need of algo-trading, the solution it offers and the multiple indicators using which the pure machine-based trading is possible and finally, the implementation of MACD indicator and other nomenclature of it performing which, one can enhance their trading skills.

关键词： software algorithms Companies Aerospace electronics Market research software Encoding Consumer electronics

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Development of Real-Time Eye Tracking Algorithm

Development of Real-Time Eye Tracking Algorithm

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Computing & Information Sciences (ICCIS), International Conference on

作者： Siti Nuradlin Syahirah Sheikh Anwar Azrina Abd Aziz Syed Hasan Adil PETRONAS Universiti Teknologi Bandar Seri Iskandar Perak Malaysia Faculty of Engineering Sciences and Technology Iqra University Karachi Pakistan

ISBN: (纸本)9781665494427

This project develops a real-time eye tracking algorithm to improve the accuracy of iris detection and gaze classification. Eye tracking has been utilized in many applications to detect driver awareness, predict human behaviour, and assist paralyzed individuals. Detecting the centre of iris is a crucial step in eye tracking development and Conventional Circular Hough Transform (CCHT) is widely used for the iris detection. However, the accuracy of the CCHT method decreases when the head of an object is not orthogonally positioned to the camera under ambient light changes. To overcome this problem, the facial landmark detector is implemented to detect the eyes as the Region of Interest (ROI), track the eyes and identify the gaze by classifying the eye positions to left, right and middle. The eye tracking algorithm has an added feature to detect eye blinking for drowsiness detection. To gain better accuracy, the classifier uses a scan method to classify the eye position based on the levels of pixel intensity. The eye tracking algorithm is implemented in OpenCV using Python software for ease of portability. The results show that the average accuracy of 100% and 90% are achieved in the iris detection and gaze position classification, respectively.

关键词： Iris Tracking software algorithms Gaze tracking Detectors Transforms Cameras

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software Construction Oriented Multi-agent Collaborative Modeling and Simulation

Software Construction Oriented Multi-agent Collaborative Mod...

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IEEE World Congress on Services (SERVICES)

作者： Yan Zhang Rong Xie Yangfan He Bing Li School of Computer Science Wuhan University Wuhan China

ISBN: (数字)9781728182032

ISBN: (纸本)9781728182049

Improper collaboration frequency causes low efficiency in software development. To improve collaboration efficiency in software construction, we propose a method of multi-agent collaborative modeling and simulation. First, we propose collective action model and individual action model to describe the whole construction environment. Then, we design agents in our simulation, establish a mapping relationship between artificial bee colonies and developers group, and propose buzz factor as a parameter to describe the collaboration frequency. In particular, we introduce Q-learning algorithm to obtain the dynamic buzz factor that maximizes construction efficiency. Finally, we perform experiments on groups of agents based on our model to observe the effect of buzz factor. Comparing to the classic feature-oriented stigmergy-based model, our experiment results show a better construction efficiency and provide a reference for controlling the collaboration. Through our work, we can find a suitable collaboration frequency through the simulation, to guide the practice of software development.

关键词： Heuristic algorithms Simulation software algorithms Collaboration Switches software Data models

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Selection Methods for Deadlock-free Routes' Optimal Configuration in On-board SpaceWire Networks

Selection Methods for Deadlock-free Routes' Optimal Configur...

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Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)

作者： A. A. Karandashev V. L. Olenev Saint Petersburg State University of Aerospace Instrumentation Saint Petersburg Russia

Paper discusses the problem of choosing the best combination of deadlock-free routes of the Up/Down routing algorithm in the framework of the SANDS software. The software is specifically intended for design and simulation of SpaceWire onboard networks. One of software components of SANDS allows tracking of deadlock-free routes for information flows and select a configuration for the user. The paper reviews the existing solutions Finally, the paper presents an algorithm that allows choosing of the best combination of deadlock-free routes.

关键词： Visualization Computational modeling software algorithms Buildings System recovery Routing Scheduling

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Imbentaryo App: An Intelligent Inventory and Decision Support System

Imbentaryo App: An Intelligent Inventory and Decision Suppor...

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International Scientific-Professional Conference on Information Technology (IT)

作者： Jessie Richie N. de los Santos Jessibel R. Suyom Manilyn B. Comora Giovanni N. de los Santos Michelle G. de los Santos Relyn C. Aruy Eastern Visayas State University – Tanauan Campus Tanauan Leyte Philippines Eastern Visayas State University – Main Campus Tanauan Leyte Philippines Philippine Statistics Authority- Eastern Visayas Tanauan Leyte Philippines AMA Computer Learning Center Tanauan Leyte Philippines

ISBN: (数字)9781728191034

ISBN: (纸本)9781728191041

Imbentaryo App an intelligent inventory system and decision support system (DSS) equipped with forecasting algorithm and Short Messaging Service (SMS) technology. The system performs business intelligent solutions through predictive data analysis from the inventory historical data needed for decision making on planning, monitoring, and management of supplies and equipment in the Supply Management Office (SMO) of Tanauan, Leyte, Philippines. The study is designed to advance the current inventory system by integrating innovative technologies and intelligent algorithms comparable to artificial intelligence. The system development utilized an agile model in building software prototypes to meet user and business requirements. The application is equipped with a secured database server and accessible on secured network architecture through web and mobile technology. The application was confirmed by SMO personnel to be an effective and efficient inventory system using ISO 25010 with a significant rating of 4.32 interpreted as Extremely Efficient.

关键词： Decision support systems Decision making software algorithms Prediction algorithms Reliability Personnel Business

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Results of the working of the high-precision iterative decoding system in the code efficiency comparison mode

Results of the working of the high-precision iterative decod...

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International Conference on Information Science and Communications Technologies (ICISCT)

作者： Atadjanov Sherzod Shukhratovich academic lyceums and technical schools of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent City Uzbekistan

ISBN: (纸本)9781665432597

In this work, a software module has been developed that accurately imitates the work of the developed system of high-precision iterative coding and decoding to evaluate the effectiveness of existing multi-threshold algorithms and the developed high-precision iterative decoding algorithm, as well as to obtain the probabilistic-energy characteristics of the corresponding algorithms. Experimental results of the operation of the high-precision iterative decoding system in the mode of comparison of the efficiency of codes are presented, which are compared to various types of codes with comprehensive criteria. Further application of high-precision iterative codes in digital TV broadcasting systems is considered.

关键词： Convolutional codes Information science Codecs Viterbi algorithm Simulation software algorithms Probabilistic logic

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Accuracy Analysis of Wind Estimation for Paramotors Using Only a Smartphone

Accuracy Analysis of Wind Estimation for Paramotors Using On...

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International Multidisciplinary Information Technology and Engineering Conference (IMITEC)

作者： Johannes P Van Der Walt Ks Sastry Musti Namibia University of Science and Technology Windhoek Namibia

ISBN: (纸本)9781665417501

Estimating wind speed and direction is a very important requirement in the sports aviation community, especially for paramotors (also known as powered paragliders), paragliders and hang gliders. These airplanes are mostly not instrumented; however, most pilots nowadays are in possession of a smartphone during flight. software algorithms do exist to estimate the wind conditions, but the accuracy of these algorithms have not been verified. The authors, who are sports paramotor and paraglider pilots, have proposed a framework to collect data, estimate the wind conditions and perform error analysis. Data is collected through a series of flight tests, and the framework is applied to determine the wind conditions. Error analyses are carried out to demonstrate the effectiveness of the proposed framework.

关键词： Monte Carlo methods Error analysis Wind speed Instruments software algorithms Estimation software

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Identification and Classification of Industrial Elements using Artificial Intelligence and Image Processing Techniques

Identification and Classification of Industrial Elements usi...

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Emerging Smart Computing and Informatics (ESCI), Conference on

作者： Tanmay Mane Girish Raut Aditya Pethe Indrajit Patil Kapil Mundada Anand Iyer Vishwakarma Institute of Technology Pune India Principal Consultant Innovative Consulting Inc. Global Head Fieper Project Pune India

ISBN: (数字)9781728185194

ISBN: (纸本)9781728185200

This paper presents a model which identifies various industrial elements with the help of Image Classification algorithms and the concepts of image processing. The proposed model provides a solution where the industry is hazardous and wants to evolve in automation field to make the process safer and easier. The performance analysis of popular Convolutional Neural Network is implemented in order to identify the objects of a plant. The concepts of Deep Learning algorithms are applied with the help of Tensor Flow software and Keras API. As first step the CNN architecture was decided manually. After analyzing the results, the next step is implementation of Transfer Learning techniques to improve the accuracy. Some of the most powerful Transfer Learning algorithms are being used like ResNet, Inception, Mobile Net, DenseNet, VGG16 and Xception etc. Each of these algorithms is evaluated and the output accuracy is tested. The dataset is collected by taking problem statement into consideration. The models are verified and the experimental results exhibited an accuracy of almost 90%.

关键词： Industries Training Image processing Computational modeling Transfer learning software algorithms Classification algorithms

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