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检索条件"任意字段=4th International Conference on Art, Science, and Engineering of Programming, Programming 2020"

共 1471 条记录，以下是1321-1330 订阅

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FarmO’Cart: Multilingual Voice-Assisted Machine Learning Based real-time price Prediction to Enhance Agricultural Income

FarmO’Cart: Multilingual Voice-Assisted Machine Learning Ba...

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Electronics and Sustainable Communication Systems (ICESC), 2020 international conference on

作者： Aastha Patel Lina Khedikar Manasi Lokakshi Sarika Khandelwal Computer Science Department College of Engineering Nagpur Maharashtra

the objective of this work is to propose the use of FarmO’Cart, a cutting-edge online marketing platform, as an effective solution to modernize conventional agricultural trading practices by facilitating an electronic exchange that links farmers, retailers, and consumers. the platform provides an option to directly sell or buy agricultural products without the involvement of any middlemen, thus allowing farmers to benefit from their crop production by generating 15-20% returns and reducing the debt ratio among farmers and their suicide rate. this proposed solution, FarmO'Cart, integrates a range of innovative features designed like a multilingual voice assistant, powered by advanced ALAN AI (Actionable artificial Intelligence) technology, enabling farmers to interact with the platform in their native language and revolutionize traditional agricultural trading practices. Farmers can put their queries or ask for assistance by simply speaking out in their native languages. the platform is also accessible in 130+ languages through the integration of the Google Translate API (Application programming Interface), ensuring a truly global reach. these features make the proposed solution more usable for the farmer community who may not be able to understand international languages or English in general. the Bcrypt’s hashing algorithm was leveraged to provide enhanced security for user data and passwords and the incorporation of salted hashing and a variable cost factor adds robustness to thwart brute-force attacks and password-cracking attempts. By employing these cryptographic techniques, the platform ensures effective protection of sensitive information. the FarmO’Cart also offers a community platform for farmers to connect and collaborate with Agri-experts & fellow farmers to improve productivity and profitability.

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Robust Transmission Expansion Planning Incorporating Demand Response and N-1 Contingency

Robust Transmission Expansion Planning Incorporating Demand ...

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2018 4th international conference on Green Materials and Environmental engineering(GMEE 2018)

作者： Qian-wei ZHENG Ju LIU Meng-lin ZHANG Ling-ling LE Xiao-meng AI Dong-jun YANG Jin-yu WEN State Key Laboratory of Advanced Electromagnetic Engineering and Technology Hubei Electric Power Security and High Efficiency Key Laboratory (Huazhong University of Science and Technology) State grid Hubei electric power company limited economic research institute

Demand response is becoming a rational option to guarantee system reliability and reduce the investment. To tackle the possible overload caused by wind power uncertainty and N-1 contingency, a stochastic mixed integer linear programming model is proposed first. In addition, extreme scenario method is utilized to guarantee the robustness of planning scheme. the proposed method is validated in the modified Garver 6-bus system with practical scenario input. the simulation results demonstrate that the demand response helps to relieve the power flow overload and reducing transmission line investment.

关键词： Transmission network planning Demand response N-1 security criterion Extreme scenario method Mixed integer linear programming

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Trustable web services with dynamic confidence time interval

Trustable web services with dynamic confidence time interval

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international conference on New Trends in Information and Service science, NISS

作者： Nalinrat Srirajun Pattarasinee Bhatarakosol Panjai Tantasanawong Sunyoung Han Department of Computing Faculty of Science Chulalongkom University Bangkok Thailand Department of Computing Faculty of Science Silpakorn University Bangkok Thailand Department of Computer Science and Engineering Konkuk University Seoul South Korea

ISBN: (纸本)9781424469826;9788988678183

One part of trustfulness on web services application over the network is confidence of services that providers can guarantee to their customers. therefore, after the development process, web services developers must be sure that the delivered services are qualified for availability and reliability during their execution. However, there is a critical problem when errors occur during the execution time of the service agent, such as the infinite loop problem in the service process. this unexpected problem of the web services software can cause critical damages in various aspects, especially lives and dead of people. Although there are various methods have been proposed to protect the unexpected errors, most of them are procedures in the verification and validation during the development processes. Nevertheless, these methods cannot completely solve the infinite loop problem since this problem is usually occurred by an unexpected values obtained from the execution of request and response processes . therefore, this paper proposed a system architecture includes with a protection mechanism that completely detect and protect the unbound loop problem of web services when request services of each requester are under the dynamic situation. this proposed solution can guarantee that users will definitely be protected from a critical lost occurred from the unexpected infinite loop of the web services system. Consequently, all service agents with dynamic loop control condition can be trustable.

关键词： Web services Protection Runtime Distributed computing Software quality Software performance Mathematics programming Computer networks Computer science

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Dual axis solar tracking system-A comprehensive study: Bangladesh context

Dual axis solar tracking system-A comprehensive study: Bangl...

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international conference on Advances in Electrical engineering (ICAEE)

作者： Amit Chakraborty Chhoton Narayan Ranjan Chakraborty Department of Computer Science and Engineering Daffodil International University Dhaka Bangladesh

Energy crisis is one of the prime issues in the third world developing country like Bangladesh. there is an enormous gap between generation and demand of electrical energy. Nearly 50% population of the country is extremely isolated from this blessing. Renewable energy is the only answer to solve this issue. Solar energy is one of the most effective resources of the renewable energy which could play a significant role to solve this crisis. this research presents a performance analysis of the dual axis solar tracking system using Arduino. the main objective of this research is whether a static solar panel is better than solar tracker or not. this work is divided into two parts hardware and software system. In hardware part, four light dependent resistors (LDR) is used to detect the utmost light source from the sun. Two servo motors conjointly used to move the solar panel to maximum light source location perceived by the LDRs. In software part, the code is written by using C programming language and has targeted to the Arduino UNO controller. the outcome of the solar tracker system has analyzed and compared with the fixed or static solar panel found better performance in terms of voltage, current and power. therefore, the solar tracker is proved more practical for capturing the maximum sunlight supply for star harvesting applications. the result showed dual-axis solar tracking system produced extra 10.53-watt power compared with fixed and single axis solar tracking system.

关键词： Sun Servomotors Sensors Renewable energy sources Solar energy Tracking Batteries

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FlashRegex: Deducing Anti-ReDoS Regexes from Examples

FlashRegex: Deducing Anti-ReDoS Regexes from Examples

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IEEE international conference on Automated Software engineering (ASE)

作者： Yeting Li Zhiwu Xu Jialun Cao Haiming Chen Tingjian Ge Shing-Chi Cheung Haoren Zhao State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China College of Computer Science and Software Engineering Shenzhen University Shenzhen China The Hong Kong University of Science and Technology Hong Kong China State Key Laboratory of Computer Science Institute of Software Beijing China University of Massachusetts Lowell United States Shaanxi Normal University Xi'an China

ISBN: (数字)9781450367684

ISBN: (纸本)9781728172811

Regular expressions (regexes) are widely used in different fields of computer science such as programming languages, string processing and databases. However, existing tools for synthesizing or repairing regexes were not designed to be resilient to Regex Denial of Service (ReDoS) attacks. Specifically, if a regex has super-linear (SL) worst-case complexity, an attacker could provide carefully-crafted inputs to launch ReDoS attacks. therefore, in this paper, we propose a programming-by-example framework, FlashRegex, for generating anti-ReDoS regexes by either synthesizing or repairing from given examples. It is the first framework that integrates regex synthesis and repair with the awareness of ReDoS-vulnerabilities. We present novel algorithms to deduce anti-ReDoS regexes by reducing the ambiguity of these regexes and by using Boolean Satisfiability (SAT) or Neighborhood Search (NS) techniques. We evaluate FlashRegex with five related state-of-the-art tools. the evaluation results show that our work can effectively and efficiently generate anti-ReDoS regexes from given examples, and also reveal that existing synthesis and repair tools have neglected ReDoS-vulnerabilities of regexes. Specifically, the existing synthesis and repair tools generated up to 394 ReDoS-vulnerable regex within few seconds to more than onehour, while FlashRegex generated no SL regex within around five seconds. Furthermore, the evaluation results on ReDoS-vulnerable regex repair also show that FlashRegex has better capability than existing repair tools and even human experts, achieving 4 more ReDoS-invulnerable regex after repair without trimming and resorting, highlighting the usefulness of FlashRegex in terms of the generality, automation and user-friendliness.

关键词： Computer science Computer languages Databases Maintenance engineering Tools Security Software engineering

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Discrete particle swarm optimization based on persuasion effect for identifying influential nodes

Discrete particle swarm optimization based on persuasion eff...

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international conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)

作者： Wei Zhang Yong Liu Jing Yang College of Computer Science and Technology Heilongjiang University Harbin China College of Computer Science and Technology Harbin Engineering University Harbin China

Identifying a set of influential nodes in social networks is critical to marketing and public opinion monitoring. It is also helpful to understand the network function. Submodularity-based methods can guarantee wide spreading scale, but their time complexity is high. Because of the low resolution and overlapping problem, methods based on node ranking cannot maintain a stable efficiency. the purpose of our paper is to identify a group of dispersed users with strong spreading ability. Inspired by the persuasion effect, we propose an improved particle swarm optimization algorithm based on Enhanced Discrete Particle Swarm optimization. To accurately estimate the spread size, we present the repetitive incentive income with the repeated stimulation awareness nodes. Considering the bad side of the persuasion effect, we define the transmission loss to reckon up the overlapping sphere. then, we conduct the objective function with the repetitive incentive income and transmission loss. the enhanced local search strategy based on new object function and IC ranking method to deal with the low-resolution problem. Finally, objective function and enhanced local search strategy are combined to identify influential node set. Experimental results show that the proposed method is effective and workable.

关键词： Integrated circuits Social networking (online) Machine learning Linear programming Search problems Propagation losses Object recognition

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Study on intelligent well location optimization of fault-block reservoir based on target region constraints

Study on intelligent well location optimization of fault-blo...

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science and Technology Innovation (IAECST), international Academic Exchange conference on

作者： Chuan-Zhi Cui Yong-Chao Yang Ying-Fei Sui College of Petroleum Engineering China University of Petroleum East China

In ultra-high water cut stage, local infill wells are often drilled to improve oil recovery. At present, the research on well location determination method of local infill wells mainly focuses on qualitative analysis of residual oil distribution in numerical simulation model of fault block reservoir, and then artificial well location design; this kind of research is not only difficult to cover the entire optimal solution search space, but also does not consider the constraints of economic factors. In this paper, technical and economic factors are considered comprehensively. First, the optimal range of well location in fault block reservoir is determined by analyzing the distribution of remaining oil. then, taking the net present value as the objective function and the well location as a variable, an intelligent optimization mathematical model of well location is established, and fish swarm algorithm is introduced to solve the problem to obtain the optimal well location with the maximum net present value. By comparing the development effects of intelligent optimization of well location and artificial determination of well location, the calculation shows that the recovery percent of the main layer after intelligent optimization of well location is 52.86%, while the recovery percent of the main layerafter artificial determination of well location is 51.47%, which shows that this method can reasonably select the location of infilled wells, achieve the goal of maximum profit after infilled wells, and effectively improve the reservoir recovery.

关键词： Economics Technological innovation Oils Reservoirs Numerical simulation Linear programming Fish

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A Multi-scale Framework for Out-of-Distribution Detection in Dermoscopic Images 1

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4th international conference on Machine Learning for Cyber Security, ML4CS 2022

作者： Huang, Zhongzheng Wang, Tao Cai, Yuanzheng Liang, Lingyu College of Computer and Data Science Fuzhou University Fuzhou350108 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering and International Digital Economy College Minjiang University Fuzhou350108 China The Key Laboratory of Cognitive Computing and Intelligent Information Processing of Fujian Education Institutions Wuyi University Wuyishan354300 China Fujian Yilian-Health Nursing Information Technology Co. Ltd. Fuzhou350003 China School of Electronic and Information Engineering South China University of Technology Guangzhou510641 China

ISBN: (数字)9783031200960

ISBN: (纸本)9783031200953

the automatic detection of skin diseases via dermoscopic images can improve the efficiency in diagnosis and help doctors make more accurate judgments. However, conventional skin disease recognition systems may produce high confidence for out-of-distribution (OOD) data, which may become a major security vulnerability in practical applications. In this paper, we propose a multi-scale detection framework to detect out-of-distribution skin disease image data to ensure the robustness of the system. Our framework extracts features from different layers of the neural network. In the early layers, rectified activation is used to make the output features closer to the well-behaved distribution, and then an one-class SVM is trained to detect OOD data;in the penultimate layer, an adapted Gram matrix is used to calculate the features after rectified activation, and finally the layer with the best performance is chosen to compute a normality score. Experiments show that the proposed framework achieves superior performance when compared with other state-of-the-art methods in the task of skin disease recognition. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Chemical activation

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Reliability Assessment of Distribution Systems Considering the Effects of Cyber Failures

Reliability Assessment of Distribution Systems Considering t...

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Intelligent Power and Systems (ICIPS), international conference on

作者： Xuan Fang Wenrui Zhou Jiahao Liang Juntao Li Siguang Zheng Bohuai Yan Guangzhou Bureau of China Southern Power Grid EHV Transmission Company Guangzhou China College of Electrical Engineering & New Energy China Three Gorges University Yichang China The School of Electrical and Information Engineering Tianjin University China College of Science Hongkong Baptist University Hongkong China

ISBN: (数字)9798331532765

ISBN: (纸本)9798331532772

the traditional reliability assessment methods for cyber-physical distribution systems suffer from low computational efficiency and accuracy, as well as insufficient consideration of cyber systems. this article deeply analyzes the impact of cyber systems failures on the reliability of distribution networks, and uses optimization methods to solve the reliability of distribution systems. the reliability assessment method proposed in this article has the advantage of precise evaluation.

关键词： Accuracy Optimization models Distribution networks Planning Mixed integer linear programming Computational efficiency Reliability Information systems

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Light Fidelity and Internet of things for Medical Applications

Light Fidelity and Internet of Things for Medical Applicatio...

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science and Information Technology in Smart Administration (ICSINTESA), international conference of

作者： Puput Dani Prasetyo Adi Ros Sariningrum Rizky Rahmatullah Hessy Novita Tiar Lina Situngkir Priyo Hartono Adji Angela Mariana Lusiastuti Antonia Rahayu Rosaria Wibowo Yudi Prastiyono Tjahjo Adiprabowo Muhammad Yassir Fairuz Iqbal Maulana Department of Telecommunication National Research and Innovation Agency (BRIN) Bandung Indonesia Veterinary Research Center National Research and Innovation Agency (BRIN) Bandung Indonesia Department of Management Faculty of Economics Singaperbangsa University Karawang Indonesia Research Center for Manuscripts Literature and Oral Traditions National Research and Innovation Agency (BRIN) Bandung Indonesia Department of Electrical Engineering Faculty of Engineering Langlangbuana University Bandung Indonesia Department of System and Information System Institut Teknologi dan Bisnis Nobel Makassar Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350376111

ISBN: (纸本)9798350376128

this study focuses on transmitting data utilizing medical sensors that are vital for patients in hospitals and other settings. In this situation, Light Fidelity refers to transmitting medical sensor data or other data comprising the Transmitter (Tx) and the Receiver (Rx). If the Light Fidelity Principle is used, the Transmitter transmits LEDs or light to the Receiver. At the same time, the Receiver contains a receiver or light detection component known as the Light Dependent Resistor (LDR); using programming and this basic working principle, data can be sent from the LED Transmitter to the LDR Receiver using C++ programming and its Library to send Medical sensor data. Sensors can include pulse sensors, like in prior research, and additional sensors such as SPO2 or blood pressure sensors. For medical data, a modest bit rate is sufficient, but LiFi applications can be created in such a way that they can be hybridized with WiFi and other RF devices such as LoRa and the Internet of things.

关键词： Resistors Radio frequency Transmitters Receivers programming Light fidelity Light emitting diodes Sensors Internet of things Wireless fidelity

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