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检索条件"任意字段=7th International Conference on the Art, Science, and Engineering of Programming, Programming 2023"

共 1140 条记录，以下是931-940 订阅

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Application domain and programming language readability yardsticks

Application domain and programming language readability yard...

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international conference on Computer science and Information Technology (CSIT)

作者： Mohammed Akour Bouchaib Falah Computer Information Systems Department Yarmouk University Irbid Jordan School of Science and Engineering Al Akhawayn University Ifrane Morocco

ISBN: (纸本)9781467389150

Software maintainability is one of the most factors that used to ensure software quality. It targets the structure of the software rather than its functionality. Hence, code readability is highlighted whenever maintainability is discussed. there is a huge difference between an organized code and a messy code, or between easy to read code and a difficult to read code. this difference can be very subjective but many efforts have been put together in order to formalize it. therefore, the result was a set of readability factors that have a direct or indirect impact on software readability. these factors measure to which extent readers can understand the text of the software code. Many metrics were developed to generalize the readability score across a set of pieces of code. Unfortunately, not all proposed metrics take into account the possibility of having variable readability factors. this paper tries to investigate to which extent the readability factors considering different application domains. Since readability is very subjective, it will be interesting to see whether it is useful to have specialized readability models that measure this attribute. this also implies looking into the impact of these readability models on measuring software quality.

关键词： Syntactics Measurement Java Software quality Readability metrics

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REAPER: Rapid Evolutionary Algorithm Prototyping and Experiment Reporting

REAPER: Rapid Evolutionary Algorithm Prototyping and Experim...

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international conference on Signal Processing and Communication Systems, ICSPCS

作者： Christopher N. Young Ju Jia Zou Chin J. Leo Engineering and Mathematics University of Western Sydney Penrith South DC Australia

the Rapid Evolutionary Algorithm Prototyping and Experiment Reporting (REAPER) framework presented in this paper is designed to assist in the prototyping and testing of Evolutionary Algorithms using a MATLAB Graphical User Interface (GUI). the REAPER framework provides an attractive easy-to-use alternative to current prototyping frameworks for both researchers inside and outside of the Evolutionary Computation (EC) community. the novelty in the REAPER frameworks approach is subject to the proposition that there should be an expansion of the set of criteria rapid prototyping frameworks should meet, to make them easier to use. the proposed expansion includes the current set of genericity criteria, supplemented by the addition of a set of easy-to-use criteria. the REAPER framework is compared to seven state-of-the-art EC frameworks in meeting both the genericity and the proposed easy-to-use criteria. REAPER is the only framework that satisfied all the genericity criteria and proposed easy-to-use criteria. the key attributes of REAPER are illustrated in an example, showing the complete process from the design of the objective function, and prototype algorithm, to the comparative analysis and reporting of results.

关键词： Algorithm design and analysis Graphical user interfaces Linear programming Signal processing algorithms MATLAB Mathematical model Evolutionary computation

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Comprehensive Multi-Layered and Time-Dependent Congestion Control Strategy for Mixed Traffic Flow

Comprehensive Multi-Layered and Time-Dependent Congestion Co...

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international conference on Transportation Information and Safety (ICTIS)

作者： Yuncheng Zeng Minhua Shao Lijun Sun Xing Kang Key Laboratory of Road and Traffic Engineering of Ministry of Education Tongji University Shanghai P.R.C College of Transportation Engineering Tongji University Shanghai P.R.C Hebei Expressway Group Co. Ltd. Jingxiong Branch Baoding P.R.C

this paper proposed a comprehensive multilayered and time-dependent congestion control strategy for the coexistence of connected autonomous vehicles (CAVs) and human-driven vehicles in future mixed traffic systems. A linear programming model was developed with the objective of minimizing the average travel time. A genetic algorithm was used to optimize the time taken by CAVs to enter the main road via the entrance ramp, resulting in an optimal control strategy that satisfies the objective function and constraints. Typical scenarios with three different origin-destination (OD) distribution types were designed and the effectiveness of the control strategy was demonstrated through primary simulation analysis. In an approximately uniform distribution of OD scenario, 23 CAVs (representing 2.71% of all vehicles) were controlled but were able to reduce the average travel time of the entire mixed traffic system by almost 55%. Significantly improving the efficiency of the traffic system and alleviating the prevalent spatiotemporal congestion problem. Furthermore, in two scenarios with a ununiform OD distribution, by controlling CAVs that account for no more than 5% of all vehicles, it was possible to exceed the average travel time by 70% and 25% respectively. Overall, this study confirmed the effectiveness of the proposed congestion control strategy, which achieved significant control results at a relatively low cost. It showed great promise for further testing and application in traffic management.

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Defense Strategies for Integrated Energy Cyber Physical Systems Considering Joint Attacks

Defense Strategies for Integrated Energy Cyber Physical Syst...

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Energy, Electrical and Power engineering (CEEPE), international conference on

作者： Danyan Gu Lucheng Hong Qiangqiang Yu Liang Hua College of Software Southeast University Nanjing China College of Electrical Engineering Southeast University Nanjing China State Grid Wuxi Power Supply Company Science and Technology Digital Department Wuxi Power Supply Company Wuxi China

ISBN: (数字)9798350375794

ISBN: (纸本)9798350375800

In the context of a highly interconnected energy landscape, coordinated cyber-physical attacks on integrated energy systems can cause significant damage and trigger considerable economic impacts. In order to ensure the robustness and uninterrupted function of such systems, the interaction between information and physical matrix is analyzed based on the inherent coupling mechanism unique to the integrated energy information-physical framework. After the basic analysis, a threelayer dynamic game model is designed using the strategy of game theory. the model is transformed into a mixed integer linear programming formula, load loss is selected as the vulnerability assessment index, and defense resources are effectively allocated to each component of the integrated energy system. Finally, an IEEE-39-node grid is coupled to an 11-node gas distribution network. Research and analysis, the proposed model and its related methods have been verified.

关键词： Economics Analytical models Power engineering Games Distribution networks Robustness Mixed integer linear programming

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the Trading Strategy of Distributed Energy Storage Participating in Energy and Frequency Modulation Market

The Trading Strategy of Distributed Energy Storage Participa...

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Energy, Electrical and Power engineering (CEEPE), international conference on

作者： Jing Xu Zhixin Fu Chunyi Wang Haoming Liu School of Electrical and Power Engineering Hohai University Nanjing China State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9798350375794

ISBN: (纸本)9798350375800

With the deepening reform of the electricity market in China, the study focuses on incentivizing distributed energy storage to provide frequency modulation ancillary services to the power system through market-based mechanisms. the research investigates the transaction decision-making of distributed energy storage in the energy and frequency modulation ancillary services market. An overall trading framework for the energy and frequency modulation ancillary services market is proposed. A bi-level decision model is developed, considering both maximizing the revenue of distributed energy storage and minimizing system costs. A hybrid integer linear programming equilibrium solution algorithm is designed based on duality theory and KKT conditions conversion. the effectiveness of the proposed model is verified through case analysis. the results demonstrate that the revenue from distributed energy storage accounts for more than 50% of the total revenue in the frequency modulation market, and strategic bidding by distributed energy storage can increase its revenue.

关键词： Power engineering Frequency modulation Costs Decision making Integer linear programming Electricity supply industry Safety

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Distribution Network Planning Considering the Microgrids' Flexible Capability

Distribution Network Planning Considering the Microgrids' Fl...

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IEEE conference on Energy Internet and Energy System Integration (EI2)

作者： Hangcheng Chen Fan Li Zhen Wang Hongji Yang Mufan Wang Polytechnic Institute Zhejiang University Hangzhou China Electric Economic Research Institute of State Grid Zhejiang Electric Power Company Hangzhou China College of Electrical Engineering Zhejiang University Hangzhou China

In this paper, a two-stage expansion model for the distribution network is established for the purpose of minimizing the planning cost of the distribution, considering networked microgrids (MGs) as flexible regulation resources. In the first stage, the planning decision is made according to the measure of constructing lines, while in the second stage, the operating cost of the distribution network is evaluated by considering MG's flexible regulation capability. Based on the DistFlow model, the expansion model can be transformed into a second-order cone programming (SOCP) problem which can be easily solved by the YALMIP toolbox and GUROBI solver used in the study. Finally, a 20-bus distribution network test system is used to test the effectiveness of the proposed method.

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A New 22 nm ULPLS Architecture to Detect 70 mV Minimum Input, Suitable for IOT Applications

A New 22 nm ULPLS Architecture to Detect 70 mV Minimum Input...

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international conference on Electronics, Materials engineering and Nano-Technology (IEMENTech)

作者： Jehan Taraporewalla Dipankar Saha Department of Electronics and Telecommunication Engineering Indian Institute of Engineering Science and Technology Shibpur Howrah India Department of Electronics and Communication Engineering Institute of Engineering and Management Saltlake Kolkata India University of Engineering and Management (UEM) Kolkata India

Modern applications such as energy harvesting, signal monitoring in bio-medical sensing, portable point of care devices, etc. which involve state of the art mixed signal subsystems require robust ultra low power operation. Here in this work, a novel ultra low power level shifter (ULPLS) is proposed for sensing voltage signals in sub-threshold region. the proposed architecture is implemented in 22 nm technology using a dual power supply. the high and low supply voltages $(\mathrm{V}_{ddH}$ & $\mathrm{V}_{ddL})$ are set as 0.8 V and 0.4 V respectively. the key design features of ULPLS include a current limiting PMOS diode, a voltage divider, and an enhanced pull up network. the ULPLS exhibits a low power dissipation of $\sim 22.84$ nW with a minimum $\sim 70$ mV detection of input signal. the robustness of the design has been examined via worst case and Monte Carlo analyses.

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Applying Deep Learning Methods on Spam Review Detection

Applying Deep Learning Methods on Spam Review Detection

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international conference on Computing Methodologies and Communication (ICCMC)

作者： M. Ramu Chinnakotla Jayanth Raj Apthiri Nithish Chandhu Boggula Ganesh Babu G Srikanth K.I Goud Dept. of computer science and systems engineering SVEC Tirupati andhrapradesh

In today's environment, a reliable and effective technique for identifying spam reviews is essential if you want to purchase things online without being taken advantage of. there are possibilities for publishing reviews in many internet locations, which opens the door for sponsored or deceptive fake reviews. these fabricated evaluations may mislead the general audience and leave them unsure of whether or not to believe them. the issue of spam review finding has been solved by the introduction of prominent deep literacy methods. the focus of recent research has been on supervised literacy practices that contain labelled data, which is inadequate for online review. this initiative aims to expose any dishonest textbook reviews. To do this, we've used both labelled and unlabeled data and suggested deep learning techniques for spam review detection, including Multi-Layer Perceptron (MLP), Convolutional Neural Networks (CNN), and a Long Short-Term Memory (LSTM) variation of Recurrent Neural Networks (RNN). We also used standard machine learning classifiers to identify spam reviews, including Naive Bayes (NB), K Nearest Neighbor (KNN), and Support Vector Machine (SVM). Finally, we compared the effectiveness of traditional and deep literacy classifiers. We'll use deep literacy classifiers to boost the finesse and efficiency.

关键词： Support vector machines Deep learning Recurrent neural networks Publishing Manuals programming Convolutional neural networks

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Simulation of Interaction of Folded Waveguide Space Traveling Wave Tubes with Derivative-free Mixedinteger Based NEWUOA Algorithm

Simulation of Interaction of Folded Waveguide Space Travelin...

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international conference on Computer and Communications (ICCC)

作者： Shuoran Li Pengcheng Xie Zihao Zhou Zhanpeng Wang Zhiliang Li Xiao Liang Bo Qu The 12th Research Institute of China Electronics Technology Group Corporation Beijing China Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China School of Mathematics and Statistics Xi'an Jiaotong University Xi’an China College of Mathematics Science University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781665409513

In order to study the beam-wave interaction of folded waveguide space traveling wave tube (TWT), a numerical calculation program was developed on MATLAB using an one-dimensional large-signal model and designed mixed-integer based NEWUOA algorithm with penalty function. On this basis, a design example of W-band TWT is given, using different objective function to optimize it with the target of high efficiency and comparing different optimization algorithms. the final results are compared with simulation from CST, where the discrepancy is within 1dB. this proves the reasonableness of procedure and the reliability of algorithm, and a new method is provided for design and optimization, which has best performance.

关键词： Traveling wave tubes Linear programming Reliability engineering Mathematical models Space exploration Numerical models Optimization

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Machine Learning Model for Predicting Failures in the Context of Autonomous Vehicles

Machine Learning Model for Predicting Failures in the Contex...

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international conference on System Reliability and science (ICSRS)

作者： Abderrahim Krini Aymen Ouertani Habil. Josef Börcsök Engineering of Reliability and Quality Functional Safety Robert Bosch GmbH Schwäbisch Gmünd Germany Institute of Functional Safety & Cyber Security Baden-Wuerttemberg Cooperative State University Lörrach Germany Computer Architecture und System Programming University of Kassel Kassel Germany

In general, failure data is obtained in the automotive industry during the warranty period. If these contain the expression of a service life characteristic for each failure, statements can be made about the reliability and availability of the systems. For this purpose, estimation methods are used to adapt empirical lifetime distributions to theoretical lifetime distributions. By means of the distribution characteristics, a prognosis of the reliability and availability to be expected is also possible beyond the observation time. In addition to the data basis to be investigated, which is available completely in test bench and experimental trials or re-censored in the field, various methods can be used for estimation. In the past, several methods have been used, such as the estimators according to Eckel [1], Kaplan-Meier [2] or the estimators according to Pauli [3]. In general, a field failure is subject to several stresses, which can be described by expressions of several lifetime characteristics. For this application case, which occurs in the automotive industry, the known estimation methods, [1]–[3], cannot be used. In this paper, the necessity of multidimensional estimation methods will be introduced first. then, a new estimation method for multidimensional metrics is presented. In a further step, mathematical proof is given that the new method can provide realistic results. Finally, two example data sets from bench testing and field are presented. Furthermore, some recommendations for the use of the new method are concretized in this context.

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