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检索条件"主题词=Application programming interfaces"

共 563 条记录，以下是421-430 订阅

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Development of Weather Forecast application Using API

Development of Weather Forecast Application Using API

引用

Computing, Sciences and Communications (ICCSC), International Conference on

作者： Shikha Chadha Salman Khursheed Ahmad Dolly Sharma Manu Singh Anubhava Srivastavaline Department of Computer Science Sharda University Greater Noida India Department Of Computer Science Engineering School Of Computer Science & Engineering Galgotias University Greater Noida India School of Computing Department Graphic Era Hill University Haldwani India Department of Computer Science ABES Engineering College Ghaziabad UP India

ISBN: (数字)9798350353648

ISBN: (纸本)9798350353655

This research paper presents the development of a weather forecasting model that incorporates real-time data through application programming interfaces. This model utilises simple algorithms to analyse meteorological parameters from diverse API data sources, aiming to improve forecast accuracy compared to traditional methods. Extensive datasets are used for training and validation, demonstrating the model's effectiveness in providing more precise predictions. The study highlights the significance of API integration in advancing weather forecasting methodologies and fostering innovation in the field. The model created has yielded highly reliable results with minimal error.

关键词： Training Technological innovation Computational modeling Soft sensors Weather forecasting Predictive models Data models Real-time systems Reliability application programming interfaces

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Database-Driven Web Mashups

Database-Driven Web Mashups

引用

International Conference on Web Engineering, ICWE

作者： Andrei Vancea Michael Grossniklaus Moira C. Norrie Institute for Information Systems ETH Zurich Zurich Switzerland

ISBN: (纸本)9780769532615;9780769534206

In most web mashup applications, the content is generated using either web feeds or an application programming interface (API) based on web services. Both approaches have limitations. Data models provided by web feeds are not powerful enough to permit complex data structures to be transmitted. APIs based on web services are usually different for each web application, and thus different implementations of the APIs are required for each web service that a web mashup application uses. We propose a database-driven approach to web mashups that supports integration at the database level and enables mashup developers to work with a uniform abstract model and have direct access to powerful features of database systems. We describe how we have implemented this approach based on an object-oriented database system with a rich object model and a generic proxy mechanism for data integration and synchronisation.

关键词： Web mashups Web Service PLUG-IN Database Database systems Web search engines webs World Wide Web congenital web web applications application programming interfaces data integration Apis

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Optimized Neuro Genetic Fast Estimator (ONGFE) for Efficient Distributed Intelligence Instantiation within Embedded Systems

Optimized Neuro Genetic Fast Estimator (ONGFE) for Efficient...

引用

International Joint Conference on Neural Networks

作者： Francisco J. Maldonado Stephen Oonk Tasso Politopoulos American GNC Corporation 888 Easy St. Simi Valley CA 93065 USA

ISBN: (纸本)9781467361279

The Optimized Neuro Genetic Fast Estimator (ONGFE) is a software tool that allows for embedding system, subsystem, and component failure detection, identification, and prognostics (FDI&P) capability by using Intelligent Software Elements (ISE) based upon Artificial Neural Networks (ANN). With an application programming Interface (API), highly innovative algorithms are compiled for efficient distributed intelligence instantiation within embedded systems. The original design had the purpose of providing a real time kernel to deploy health monitoring functions for Condition Based Maintenance (CBM) and Real Time Monitoring (RTM) systems in a broad variety of applications (such as aerospace, structural, and widely distributed support systems). The ONGFE contains embedded fast and on-line training for designing ANNs to perform several high performance FDI&P functions. A key advantage of this technology is an optimization block based upon pseudogenetic algorithms which compensate for effects due to initial weight values and local minimums without the computational burden of genetic algorithms. The ONGFE also provides a synchronization block for communication with secondary diagnostic modules. The algorithms are designed for a distributed, scalar, and modular deployment. Based on this technology, a scheme for conducting sensor data validation has been embedded in Smart Sensors.

关键词： ONGFE ISE API Embedded systems application programming interfaces distributed intelligence API AXIAL POWER INDICATOR American Petroleum Institute instantiation Software Tools intelligent sensors Artificial neural networks Support Systems Fasting

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Electrical failure analysis using SEM Automated Process Inspection (API) System

Electrical failure analysis using SEM Automated Process Insp...

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Joint e-Manufacturing and Design Collaboration Symposium (eMDC) & International Symposium on Semiconductor Manufacturing (ISSM)

作者： Yu-Chi Chen Shih-Ping Lee Bo-An Tsai Chun-I Chan Powerchip Semiconductor Manufacturing Corp No. 12 Li-Hsin 1st Rd. Hsinchu Science Park Hsinchu Taiwan R.O.C

ISBN: (数字)9789869171557

ISBN: (纸本)9781728143705

The introduction of automated process inspection (API) system using in-line SEMVision was applied to monitor the contact process of the inter layer dielectric (ILD). The conventional optical inspection systems do not have enough resolution to monitor ILD contact etching when the technology has scaled down to the deep submicron node from the submicron. In semiconductor process, the contact process of the ILD is one of the most critical processes. Usually, in-line E-beam system is used in monitoring the contact process or to detect device leakage. The Off-line uses TEM to check contact etching with a physical failure analysis [1]. Low throughput is the main disadvantage in both E-beam and TEM inspections, especially the physical analysis of TEM, which needs more than 2~3 days due to the complex sample preparation. In order to shorten the inspection time of the E-beam, we developed a novel mode of a rapid auto process inspection system using inline SEMVision, this can effectively detect contact processing issues.

关键词： inter layer dielectric (ILD) processing auto process inspection E-beam inspection CONTACT PROCESSING FAILURE ANALYSIS electron beam testing contact etching Interstitial lung disease AUTOMATIC PROCESSING Specimen preparation Transmission electron microscopy geophysical surveys semiconductor processing electron beam API application programming interfaces AXIAL POWER INDICATOR American Petroleum Institute

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A cross platform intrusion detection system using inter server communication technique

A cross platform intrusion detection system using inter serv...

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International Conference on Recent Trends in Information Technology (ICRTIT)

作者： R. Priyadarshini D. Jagadiswaree A. Fareedha M. Janarthanan Department of Information Technology B.S.Abdur Rahman University Chennai India

In recent years, web applications have become tremendously popular. However, vulnerabilities are pervasive resulting in exposure of organizations and firms to a wide array of risks. SQL injection attacks, which has been ranked at the top in web application attack mechanisms used by hackers can potentially result in unauthorized access to confidential information stored in a backend database and the hackers can take advantages due to flawed design, improper coding practices, improper validations of user input, configuration errors, or other weaknesses in the infrastructure. Whereas using cross-site scripting techniques, miscreants can hijack Web sessions, and craft credible phishing sites. In this paper we have made a survey on different techniques to prevent SQLi and XSS attacks and we proposed a solution to detect and prevent against the malicious attacks over the developer's Web application written in programming languages like PHP, *** and JSP also we have created an API (application programming Interface) in native language through which transactions and interactions are sent to IDS Server through Inter Server Communication Mechanism. This IDS Server which is developed from PHPIDS, a purely PHP based intrusion detection system and has a system architecture meant only for PHP application detects and prevents attacks like SQLi (SQL Injection) and XSS(Cross-site scripting), LFI(Local File Inclusion), and RFE(Remote File Execution) and returns back the result to the Web application and logs the intrusions. In addition to this behavioural pattern of Web Logs is analysed using WAPT algorithm (Web Access Pattern Tree), which helps in recording the activity of the web application and examines any suspicious behaviour, uncommon patterns of behaviour over a period of time, and it also monitors the increased activity and known attack variants. Based on this an report is generated dynamically using P-Chart which can help the Website owner to increase the security measur

关键词： Servers Databases Algorithm design and analysis Security Monitoring application programming interfaces Arrays

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Software Defined Radio for Time and Frequency applications: Example of Passive Monitoring of TWSTFT and other Timing Signals: (Invited Paper)

Software Defined Radio for Time and Frequency Applications: ...

引用

European Frequency and Time Forum (EFTF)

作者： J.-M Friedt FEMTO-ST Time & Frequency Besançon France

ISBN: (数字)9798350354270

ISBN: (纸本)9798350354287

Software Defined Radio (SDR) is a paradigm aimed at minimizing the contribution of hardware and maximizing the contribution of software when processing radiofrequency signals. While the concept is mostly used in the context of digital communication for agile systems flexible enough to adapt to unexpected conditions, accessing the raw samples right after the digitization of the radiofrequency wave provides opportunities for benefiting from information on the physical system before the signal has been processed. Not only does this access to the physical layer provide security, e.g. G NSS anti-spoofing and anti-jamming using null steering, but also the opportunity to finely recover timestamps in the context of time and frequency transfer. Free, opensource software is readily distributed for reproduction of the experiment at the Oscillator Instability Measurement Platform (OscIMP) Digital repository at https://***/oscimp/gr-satre for SATRE TWSTFT signal reception or https://***/oscimp/gnss-sdr-lpps/ for GNSS-controlled 1 PPS generation, and repetition of the measurements at remote sites, a core requirement of a scientific endeavor.

关键词： Radio frequency Time-frequency analysis Software maintenance Writing Digital communication Libraries Hardware Software measurement Software radio application programming interfaces

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JAVA Mobile application Development Course Under the Framework of Industry-Education Integration: Practice of Deep Learning and Neural Network Integration

JAVA Mobile Application Development Course Under the Framewo...

引用

Artificial Intelligence, Deep Learning and Neural Networks (AIDLNN), International Conference on

作者： Haiyan Guo Guangzhou International Economics College

ISBN: (数字)9798331520816

ISBN: (纸本)9798331520823

The popularization of AI technology, yes the emerging technology represented by deep learning and neural network has gradually become an important tool for solving complex problems. Specifically, in the application field of mobile application development, the cutting-edge deep learning technology is integrated into the JAVA mobile application development course by utilizing the teaching mode of industry-teaching fusion to cultivate students' innovative ability and practical ability. This paper first analyzes the current market demand and technology trends in the mobile application development industry, and points out the great potential of deep learning and neural network technology in enhancing application intelligence and personalization. It describes how to introduce deep learning framework and neural network model in JAVA mobile application development course, and analyzes how to realize deep learning applications such as image recognition, emotion analysis and speech recognition in mobile applications. Under the background of the integration of industry and education, students can be provided with learning resources and internship opportunities that are closer to reality through the deep cooperation with industry enterprises. The research in this paper can provide useful practical reference for the teaching reform of mobile application development courses in colleges and universities.

关键词： Deep learning Industries Java Technological innovation Career development Neural networks Mobile communication Teamwork Artificial intelligence application programming interfaces

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Design of Restaurant Billing System (E Bill Resto) by Applying Synchronization of Data Billing in Branch Companies to Main Companies Based on Rest API

Design of Restaurant Billing System (E Bill Resto) by Applyi...

引用

Smart Technology and applications (ICoSTA), 2020 International Conference on

作者： M Mahaputra Hidayat R Dimas Adityo Alek Siswanto Dept. of Engineering University of Bhayangkara Surabaya Surabaya Indonesia Dept. of Information System University of Islamic Madura Pamekasan Indonesia

ISBN: (数字)9781728130835

ISBN: (纸本)9781728130842

Culinary business is a business opportunity that is most in-demand, E Bill Resto is a restaurant billing system that was developed by involving several selling places/restaurants with the name of a brand that is connected to the parent company by a database server. With an integrated system, all revenue from restaurant sales can be monitored in realtime. The system design is made by implementing the RESTFul API architecture with security access tokens. The Master application as a provider of Embedded Data Service Web resources on 3 Restaurant Information Systems, It does the synchronization of 3 Web Service Clients, Data From the Master-Slave Side was obtained by testing 3 data sampling, where both applications are tested QoS (Quality of Service) with 3 new data samples, from the INDOSAT Internet Provider which showed an average test result of Throughput of 170.3 bps, Packet Loss of 18.851% and Delay (latency) of 78.4 ms. Whereas using the TELKOM Internet Provider with an average throughput of 259.5 bps, Packet Loss of 14.28% and delay (latency) of 83.8 ms. Then it can be concluded that testing based on TIPHON Throughput and Delay (latency) from INDOSAT 4G and TELKOM signal Internet Providers showed the category of "Very Good" while the Packet Loss test obtained the "Bad" category.

关键词： restaurant billing RESTFul API web service QoS Web Service Quality of service parent company Database Hosts Restaurants Billing System Throughput Packet loss Data sampling Clinical Test Result Companies Beak API application programming interfaces AXIAL POWER INDICATOR

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A comprehensive mobile application development and testing lifecycle

A comprehensive mobile application development and testing l...

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Conference on IT Professional (IT Pro)

作者： Anand Kumar Tejas Vithani BITS Pilani Dubai Campus National Institute of Standards and Technology (NIST) Gaithersburg MD USA

• This research was done as part of Tejas Vithani's Master's dissertation at BITS Pilani, Dubai Campus • This research was inspired by a project sponsored by Igenus, Chicago, IL. • Deep gratitude to Mr Ariful ... 详细信息

关键词： Mobile communication Testing Software application programming interfaces Portable computers Spirals Androids

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Development of Social Network Analysis Platform

Development of Social Network Analysis Platform

引用

IEEE International Conference on Smart Instrumentation, Measurement and applications (ICSIMA)

作者： Sumayyah Adnan Teddy Surya Gunawan Haidawati Nasir Mira Kartiwi Electrical and Computer Engineering Department International Islamic University Malaysia Kuala Lumpur Malaysia Department of Computer Engineering University of Kuala Lumpur (UniKL-MIIT) Kuala Lumpur Malaysia Information Systems Department International Islamic University Malaysia Kuala Lumpur Malaysia

ISBN: (数字)9781728139524

ISBN: (纸本)9781728139531

The social network is a platform where a big number of data can be collected as the number of social network users grows each day. Many data scientists are investigating the correlation of those data collected from different users and different locations on the social network. In this research, a platform is developed to stream the Twitter APIs to study the social network analysis on Twitter. This platform development process will be divided into three process, including extraction, classification and application process. This streaming process will be done using Tweepy, an open source Python library for Twitter API that is used in the Twitter data mining process. The data extracted from this process will later be visualized in a visualization tool for social network analysis. This platform is intentionally created to aid the user to analyze the data extracted from Twitter with a simple application. The sentiment analysis from various tweets will be analyzed using machine learning tool and visualized in graph for better visualization.

关键词： Social networking (online) Data mining Sentiment analysis application programming interfaces Twitter

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