Web Services Technology Research Articles

The Semantic Function of Modern Chinese “Negation + X” Modal Words Based on Communication Technology and Big Data Corpus

The semantic function of modern Chinese “negation + X” modal words based on communication technology and big data corpus has gained wide attention. As the basis of SOA architecture, Web services provide the key resources for worldwide information transfer and information sharing with their characteristics of loose coupling, platform independence, and data exchange without additional support from third-party hardware and software. However, along with the popularization and improvement of Web service technology, the number and types of Web services in the Internet are also increasing massively, and there are a large number of Web services with various functions, quality and granularity. Therefore, how to quickly and accurately discover Web services that satisfy users’ query requests from a large and complex set of services has become a critical problem to be solved in the current Web service discovery research. Based on the real corpus, this paper analyzes the similarities and differences in the semantic functions of modern Chinese “negation + X” modal words by combining lexicalization and grammatization, cognitive linguistics, systemic functional grammar and other related theories. The experimental results demonstrate that the model is designed for automatic annotation of semantic word classes, and the annotation algorithm based on the hidden horse model, combined with the Viterbi algorithm based on dynamic programming, achieves a correct rate of 94.3% in the closed test and 89.1% in the open test despite the small size of the training corpus and severe data sparsity, and the model fitting effect meets the dynamic expectations.

Penerapan Web Service dalam Mengintegrasikan IoT dengan Platform Investasi Berbasis Website dan Mobile Android

The industrial revolution 4.0 which is occurring rapidly has resulted in changes in various fields, IoT is a technology that is currently widely used to automate processes in everyday life. In this research, IoT was used to monitor the development of goat livestock in Dermaji village. The problem with IoT development is that when you want to display data or results obtained, IoT does not work well if the information displayed is less interactive and difficult for end users to understand, so a solution needs to be created to display the results obtained by developing website and mobile-based applications. The aim of this research is to integrate an IoT platform with Android mobile-based websites and applications by implementing a RESTful web service API. Web and mobile application development uses the RAD method which consists of several stages, namely the design stage of system requirements, system design and implementation into a programming language. In integrating IoT with websites and mobile, RESTful web service technology is applied. The result of this research is an IoT platform that is integrated with website and Android mobile based applications.

Hierarchical clustering algorithm to generate ontology network

Ontologies have played a crucial role in addressing challenges related to knowledge modeling, artificial intelligence, clustering, and classification. Within the realm of web services, ontologies primarily serve to describe web service interfaces, facilitating the automation of functional processes, particularly to guide the registers in discovering services. Enriching this model with a shared ontology (knowledge base) can improve the efficiency of web services technology by guiding web services processes. This shared ontology plays the role of intermediary between queries and registries, and can be shared between different registries. However, manually constructing ontologies is a labor-intensive and expensive endeavor, necessitating domain expertise. Automatic ontology construction approaches present compelling alternatives, offering advantages in terms of both time and financial costs. In this article, we advocate for the utilization of the Hierarchical Clustering algorithm to generate an ontological network (Service Ontology (SO)) from a semantic web services corpus. Experimental validations are presented to demonstrate the effectiveness of the proposed methodology.

Optimizing Data Ingestion in the Cloud: Leveraging AWS Technologies like AWS S3, EMR, and Glue for Cost Efficiency and Operational Scalability

In the rapidly evolving landscape of big data, the architecture of data ingestion processes significantly impacts the operational costs and efficiency of cloud environments. This paper delves into the architectural patterns and strategies that facilitate cost-effective data ingestion, with a particular focus on leveraging Amazon Web Services (AWS) technologies such as S3, EMR, and Glue. As organizations increasingly migrate to cloud-based solutions to manage voluminous data, optimizing the cost of data ingestion becomes crucial to maintain competitiveness and operational efficiency.

A distributed collaborative platform for multi-stakeholder multi-level management of renovation projects

To meet European energy-saving and decarbonisation goals, the annual renovation rate of buildings requires to be at least twice its current level; an aspiration to which the use of innovative and automated solutions can contribute. This paper presents such a solution, the RINNO Retrofitting Manager (RRM) which is part of a large, ambitious research and development project (RINNO) that aims to provide an augmented intelligence-enabled framework for deep, energy-focused retrofitting of buildings. The RRM uses web-service technologies to rationalise the retrofitting process and optimise the delivery of renovation works, while making data readily accessible through an integrated set of role-based user interfaces. The RRM is designed and developed as an open distributed system, that is extensible and portable, by implementing a collaborative research and development approach. The RRM platform implements a multi-level, multi-stakeholder planning approach. It addresses the dearth, insufficiency, and isolation of existing renovation tools by enhancing collaboration, interoperability, and data security, and avoiding information loss and misunderstanding. Employing the Unified Theory of Acceptance and Use of Technology (UTAUT) model, tests conducted with users from independent construction organisations confirmed the RRM's satisfactory performance, ease of deployment, and overall suitability for the management of renovation projects. While this research provides a free collaborative platform for managing renovation projects that can be used by all building retrofit stakeholders in Europe, it also introduces a set of web-services that can be easily reused by third-party developers and integrated into their software tools.

Verification and Processing of Academic Certificates Using Web Services

A web service is a set of code of a server application that performs a specific task or service whenever it is invoked through a Remote Procedure Call (RPC) by a client application that is connected to the server over the Internet. Web services are one of the digital strategies that can be used by the government for curtailing academic certificate scandals being perpetrated by fraudulent individuals in various sectors of the economy. The traditional method of checking academic records and certificates manually is inefficient and prone to forgery by unscrupulous elements. Similarly, the e-transcript system being adopted by some organizations to authenticate the academic qualifications of individuals for possible admission or employment still involves a manual process. The objective of this work therefore is to show how web services for certificate verification of all tiers of the educational system in Nigeria can be maintained by one central body which is the Federal Ministry of Education in Nigeria to enable various end-users (such as educational institutions, commercial organizations, etc) use the web services to authenticate and process the academic records of individuals effortlessly. A simulated data of 20 SSCE results of students who completed their secondary school education at various institutions was used to illustrate the application of a web service. The web service program was written in Java. A client application which was also written in Java was used to query the web service through RPC to authenticate and process the certificate claims of a sample of five students for admission into a tertiary institution. Results showed that the web service excellently ascertained the eligible candidates for admission and those that were not. The web service technology is therefore highly recommended for use by the federal ministry of education in Nigeria to eradicate the academic certificate scandals amongst the citizenry.

Pengembangan Aplikasi Bebas Pustaka Mandiri dengan Menerapakan Model Integrasi Sistem dan Interoperabilitas

The Library Free Certificate (SKBP) is a graduation requirement that is applied in many universities, one of which is the Andalas University Library. To make it easier for students to get SKBP, the library has used the Bebas Pustaka Mandiri Application. This application is web-based and can be accessed online. Its development applies the interoperability model by integrating it with other related applications, namely: the Library Catalog Information System, and Graduation Information System. This application allows students to propose the issuance of SKBP independently without the need to come to the library. This study aims to test the performance and measure the benefits of implementing the Aplikasi Mandiri in overcoming various problems in SKBP management. The method used is descriptive qualitative, and data collection is done through direct observation, interviews, and documentation. The results of this study indicate that the application of the concept of interoperability utilizing web service technology has succeeded in supporting the process of exchanging and sharing data between the applications involved properly and smoothly. This study concludes that the use of the Aplikasi Mandiri in managing SKBP has succeeded in shortening the issuance time of SKBP and cutting bureaucratic lines in the library. The time efficiency offered contributes to increasing the productivity of students and officers involved.

A Novel Approach Based on Service Level Agreement (SLA) for Evaluating the Web Service Quality

Web service technology has gained a more important role in developing distributed applications and systems on the Internet. The rapid growth of published web services makes their discovery more and more difficult. Nowadays, most web service providers sign Services Level Agreement (SLA) contracts with their clients in order to guarantee the offered functionality of their services. This paper proposes an approach to monitor the Quality of Services (QoS) in web service according to Service Level Objectives (SLO) in SLA. Monitoring procedures are introduced to check variations in the pre-agreed metric values of SLAs. Then, the deviation between the actual quality and the acceptable quality level can be identified and analyzed. Finally, the weaknesses of the web service practices can be discovered and solved.

Sport training damage prevention based on hybrid image retrieval scheme

The web service is made of a variety of complex systems, but the core part is still a web service. This service maximizes the user's demand user satisfaction, the web service can be recommended according to the user's needs, the current Web service technology Not very mature, there is also an improved point in research we extracted a model, this model is the model of Hash, in which we can join the hash layer behind the full chain, by reducing the hash layer The number of nodes is low-level feature and compared with the current programs, we propose advice to network parameters in the model, because this can be used in model training, this algorithm can be left Setting the rate of learning and speeds up the speed of the model training. This model can play a very important role in the campus life, but if this model is applied to the competitive critical project, it may generate a motion damage, which occurs in this motion damage. The reason is because the intensity of the project is high, the rhythm is fast and strong, so in order to understand the damage status and damage characteristics of college students in the exercise process, we have conducted risk factors, and some precautions we can Do our best to reduce the phenomenon of sports injuries in college athletes, which is important for students' movement development.

Application of image super-resolution recognition and artificial intelligence system in repairing students' psychological education problems

With the continuous development of society, people's life pressure is constantly increasing, and the mental health problems of college students are becoming increasingly prominent, bringing many challenges to their education and management. Universities should not only cultivate students' theoretical and professional knowledge and practical skills, but also attach importance to their mental health and effectively implement psychological education. Therefore, it is very necessary to develop and design a simple and effective student psychological evaluation system. As a new form of ideological and political transformation in universities in the era of big data, online ideological and political work has potential development space. It is necessary to carry out mental health education in universities, fully utilize online education forms, and improve ability of universities to repair mental health problems. Based on this, this system designs and implements software for typical image resolution based recognition and artificial intelligence. The use of B/S architecture in the development and use of. net technology and web server technology will enable more students to connect and use different terminals. In addition, an algorithm for image super-resolution recognition was proposed, which uses clustering convolution to improve residual blocks, improves modeling ability by extracting features on a larger scale, reduces the number of parameters to improve model calculation efficiency, and enables mental health educators and managers to work better. This article combines image super-resolution recognition technology with artificial intelligence technology to apply it to the process of psychological education in universities, thereby promoting the development of problem repair applications.

Web service discovery approach: application in e-healing domain

The main objective of today's companies is to cope with rapid changes in the environment. For this, they must ensure the integration and interoperability of their applications. To manage and automate the life cycle of these applications, companies are adopting web services technology. The current problem is that the content of these web services cannot be processed automatically. Only humans can interpret its contents. The semantic web is a new vision of the web that promises to overcome this difficulty. The goal of this technology is to automate the retrieval, assembly, and selection of web services. In this post, we are interested in semantic detection of web services. The main problem is automatically discovering web services on request from clients. Against this background, we first describe the principle of the proposed detection mechanism and then present the designed matchmaking algorithm. Finally, we implement our proposed method. To verify our work, we run tests against various user requests and web service panels. As part of a case study, we consider an online hospital problem. This problem is a typical web service discovery scenario to which the concepts of our method are applied.

Provenance in GIServices: A Semantic Web Approach

Recent developments in Web Service and Semantic Web technologies have shown great promise for the automatic chaining of geographic information services (GIService), which can derive user-specific information and knowledge from large volumes of data in the distributed information infrastructure. In order for users to have an informed understanding of products generated automatically by distributed GIServices, provenance information must be provided to them. This paper describes a three-level conceptual view of provenance: the automatic capture of provenance in the semantic execution engine; the query and inference of provenance. The view adapts well to the three-phase procedure for automatic GIService composition and can increase understanding of the derivation history of geospatial data products. Provenance capture in the semantic execution engine fits well with the Semantic Web environment. Geospatial metadata is tracked during execution to augment provenance. A prototype system is implemented to illustrate the applicability of the approach.

BGCL: Bi-subgraph network based on graph contrastive learning for cold-start QoS prediction

With the advent of Web service technologies, the number of services published on the cloud is increasing rapidly. The quality of service (QoS) becomes a crucial criterion for selecting services from a massive pool of candidates. Collaborative filtering (CF) has become a major way for personalized QoS prediction by leveraging historical interactions between users and services. Due to the increasing number of users and services, CF-based QoS prediction often suffers from data sparsity and cold-start difficulties. Inspired by the advantages of graph contrastive learning in cold-start predictions, we propose BGCL, a bi-subgraph network based on graph contrastive learning to solve the above problems. Firstly, we generate different perspectives of user-neighborhood and service-neighborhood sub-graphs based on sparse user–service bipartite graphs. Next, our model learns user and service embeddings using the graph contrastive learning and graph attention aggregation mechanisms on the generated sub-graphs. Finally, user and service embeddings are fed into a multi-layer perception to predict QoS values. Experimental results show that our model outperforms several existing models in terms of prediction accuracy.

Domain Constraints-Driven Automatic Service Composition for Online Land Cover Geoprocessing

With the rapid development of web service technology, automatic land cover web service composition has become one of the key challenges in solving complex geoprocessing tasks of land cover. Service composition requires the creation of service chains based on semantic information about the services and all the constraints that should be respected. Artificial intelligence (AI) planning algorithms have recently significantly progressed in solving web service composition problems. However, the current approaches lack effective constraints to guarantee the accuracy of automatic land cover service composition. To address this challenge, the paper proposes a domain constraints-driven automatic service composition approach for online land cover geoprocessing. First, a land cover service ontology was built to semantically describe land cover tasks, data, and services, which assist in constructing domain constraints. Then, a constraint-aware GraphPlan algorithm was proposed, which constructs a service planning graph and searches services based on the domain constraints for generating optimal web service composition solutions. In this paper, the above method was integrated into a web prototype system and a case study for the online change detection automatic geoprocessing was implemented to test the accuracy of the method. The experimental results show that with this method, a land cover service chain can generate automatically by user desire objective and domain constraints, and the service chain execution result is more accurate.

Implementation of Web Service Fingerprint Attendance Machine on Employee Attendance Information System

The OKI District Population and Civil Registration Service have implemented the employee attendance information system by utilizing a fingerprint machine. This system is quite helpful in recording employee attendance properly. However, several obstacles are found in the implementation of the system. Namely, calculating the attendance percentage is still done manually because the data must be further processed using additional applications. Based on these obstacles, this study aims to implement web service technology using the protocol SOAP to integrate the system currently used. The system will automatically download fingerprint machine data and process it into attendance percentage reports, so that it can be more optimal and increase efficiency. The data obtained will be used by the staffing department, including one of the factors for measuring employee performance and determining Additional Employee Income (TPP).

INTEGRASI DATA BARANG PADA SISTEM INVENTORY CV. XYZ MENGGUNAKAN WEB SERVICE

In various fields the industry has used as well as implemented the concept of web services that provide message interoperability and data exchange interfaces. One of the uses for sharing data on data integration of one system with another system in this case study was carried out to manage iron supply goods data, in CV. XYZ Pratama Manufacture Engineering uses research methods of collecting data structures, architectural design data, building application web services, building Rest APIs, testing, and measuring and securing JWT HS 256 tokens. Building integration can formulate how to use CV Goods data. XYZ, becomes an Inventory system built using Web Service technology by managing item API data of json data type on the Rest Server so that it can be used by Client Rest. This research resulted in a Web Service through testing stages with different services with the total data requested and received which is 62.48 kb and the total Response time from data retrieval 2.2 seconds with an average execution time of Request data of 177 milli seconds.

The Intervention of Data Mining in the Allocation Efficiency of Multiple Intelligent Devices in Intelligent Pharmacy.

With the wide application of artificial intelligence and big data technology in the medical field, the problems of high cost and low efficiency of traditional pharmacy management were becoming more and more obvious. Therefore, this paper proposed to use data mining technology to design and develop the dispensing process and equipment of intelligent pharmacy. Firstly, it summarized the existing data mining technology and association rule methods and expounded its application value in the related fields. Secondly, the data standard and integration platform of dispensing in intelligent pharmacy were established. Web service technology was used to design the interactive interface and call it to the intelligent device of pharmacy. Finally, an intelligent pharmacy management system based on association rule mining was constructed through the data mining of intelligent pharmacy equipment, in order to improve the intelligence and informatization of modern pharmacy management. For the emergency dispensing process of intelligent equipment failure, data mining was used to optimize the intelligent pharmacy equipment and dispensing process and change the pharmacy management from traditional prescription to patient drug treatment, so as to improve the dispensing efficiency of intelligent pharmacy equipment. Through the systematic test and analysis, the results showed that through the real-time risk prevention and control, the formula accuracy and operation speed of the intelligent dispensing machine were improved and the dispensing time was shortened. Through intelligent drug delivery, the unreasonable drug use of patients was reduced, the safety and effectiveness of clinical drug use were ensured, and the contradiction between doctors and patients was reduced. This study can not only optimize the medical experience of patients and provide patients with more high-quality and humanized pharmaceutical technical services but also provide some support for the intelligent management of modern hospitals.

ATLDesigner: ATL Model Checking Using An Attribute Grammar

In this paper, we use attribute grammars as a formal approach for model checkers development. Our aim is to design an Alternating-Time Temporal Logic (ATL) model checker from a context-free grammar which generates the language of the ATL formulae. An attribute grammar may be informally defined as a context-free grammar which is extended with a set of attributes and a collection of semantic rules. We provide a formal definition for an attribute grammar used as input for Another Tool for Language Recognition (ANTLR) to generate an ATL model checker. The original implementation of the model-checking algorithm is based on Relational Databases and Web Services. Several database systems and Web Services technologies were used for evaluating the system performance in verification of large ATL models.

Online Procurement and Inventory Technology Based on Cloud Computing System

In order to explore the collaborative development of online procurement and inventory technology, this paper combines cloud computing technology to build online procurement and inventory management models, and builds a collaborative procurement computing experimental model with the help of a service system. Moreover, this paper clarifies the evolution problem of clustered supply chain network, and defines and constrains the model. In addition, this paper uses Agent technology to construct individual model and behavior model. Further, by complementing the advantages and disadvantages and mapping rules between Agent technology and Web service technology, the Agent model is mapped into a service model, which integrates the intelligence of Agent and the openness and cross-platform characteristics of Web services. Finally, this paper simulates the procurement and management model proposed in this paper through the simulation platform. The data analysis and research results show that the online procurement and inventory management technology based on the cloud computing system proposed in this paper can effectively promote the stable operation of procurement and inventory.

UTILIZATION OF SMARTPHONES AS HUMAN MACHINE INTERFACE DISPLAYS FOR CONVEYOR CONTROL SYSTEMS LOGO BASED! WEB SERVER

This study discusses the use of smartphones as a Human Machine Interface (HMI) display on a conveyor control system with web server technology that has been embedded in the PLC LOGO!.On average, all industrial conveyor control and monitoring systems are HMI-based which are displayed on a large monitor screen. This of course has its own saturation for operators in controlling and monitoring the conveyor because it just sits in one place.The application of smartphones as HMI displays on conveyor control systems can overcome this because the small size of the smartphone can be held, practical and can be carried everywhere. The HMI display application is built using web server technology with the main control being PLC LOGO! Siemens seriesLOGO!0BA8 and a wi-fi network generating device in the form of an outdoor point to point CPE type 01. The input data is taken from the conveyor safety device component which is processed by the PLC and sent to a web server that can be accessed by smartphones via a private IP address.Based on the results of this study, the use of smartphones as HMI displays on conveyor control systems with LOGO! web server technology is able to read input values from conveyor safety devices, and can control to turn on and turn off the conveyor motor at a distance of the outdoor point to point CPE scope.