Web Service Applications Research Articles

PEMANFAATAN BLOG SEBAGAI MEDIA PEMBELAJARAN ALTERNATIF SISWA KELAS IX DI SMP NEGERI 1 GUNUNGTANJUNG

<em>The use of Information and Communication Technology continues to experience developments, for example the use of blogs in supporting the learning process. Blog is a web service application created to make it easier for users to publish information through writing in the form of blog posts consisting of text, images, videos, audio, links and other files. In making a blog it is very easy and free for example blogger, the steps to create a blog on blogger are the first to create a gmail account, login and register to blogger.com, specify the blog name, blog address, choose and customize the blog template as desired. The use of blogs as an alternative learning media aims to enable students to explore the material posted by teachers in blogs that can be studied more flexibly and differently from conventional learning processes, so that blogs are the right learning media in a more effective and attractive teaching and learning process.</em>

NOD4J: Near-omniscient debugging tool for Java using size-limited execution trace

• Detailed logging leads to larger execution traces. • Proposed method records a compact execution trace using fixed size buffers. • The execution trace is compact but keeps data dependency. • Debugging actual defects is possible on a HTML-based viewer. Logging is an important feature of a software system to record run-time information. Detailed logging allows developers to collect run-time information in situations where they cannot use an interactive debugger, such as continuous integration and web application server cases. However, extensive logging leads to larger execution traces because few instructions can be repeated many times. This paper presents our tool NOD4J, which monitors a Java program's execution within limited storage space constraints and annotates the source code with observed values in an HTML format. Developers can easily investigate the execution and share the report on a web server. We show two examples that our tool can debug defects using incomplete execution traces.

Service Discovery and Selection Based on Dynamic QoS in the Internet of Things

Web services are self-describing and self-contained modular applications based on the network. With the deepening of web service applications, service consumers have gradually increased their requirements for service functions and service quality. Aiming at how to select the optimal plan from a large number of execution plans with the same function and different QoS characteristics, this paper proposes a web service selection algorithm that supports QoS global optimization and dynamic replanning. The algorithm uses position matrix coding to represent all execution paths and replanning information of the service combination. By calculating the Hamming distance of the service quality between individuals, the quality of the service portfolio is improved. By specifying the total user time limit and implementing a good solution retention strategy, the problem of the impact of algorithm running time on service quality is solved. The experimental results show that the method proposed in this paper is effectively integrated into the development trend of QoS and close to the requester’s needs and can better meet user needs. This algorithm improves the user’s satisfaction with the returned service to a certain extent and improves the efficiency of service invocation.

Semantic applications for ontological information theory

Information theory is a field that has applications in several scientific domains. This field, which was initially proposed by Claude Shannon, is interdisciplinary; it combines probability, electrical engineering, information engineering, computer science, and statistics. Representing knowledge in information theory provides scientific scholars a resourceful reference for the filed. By learning the precise terminology used in information theory, researchers can discover documents in the domain. In addition, they can communicate knowledge and ideas by using the accurate jargon. A scientific ontology representing knowledge corpus can be implemented digitally by articulating the concepts in the domain of information theory using semantic graphs. These scientific semantic artifacts are valuable with Web 3 technologies. They facilitate searching documents online by providing precise related results. In addition, it is expected that the semantic knowledge to be applicable in Web service applications based on information theory as Web services are software components that communicate information. This work presents an ontology for the Information theory. The ontology conceptualizes the knowledge of information domain by identifying the main concepts, principles, equations, metrics, and history of information theory. The ontology composed of classes, instances, and properties is built using protege, an ontology editor, and is stored in OWL format. Educational applications for the built ontology are indicated.

Online sequential extreme studentized deviate tests for anomaly detection in streaming data with varying patterns

In the new era of big data, numerous information and technology systems can store huge amounts of streaming data in real time, for example, in server-access logs on web application servers. The importance of anomaly detection in voluminous quantities of streaming data from such systems is rapidly increasing. One of the biggest challenges in the detection task is to carry out real-time contextual anomaly detection in streaming data with varying patterns that are visually detectable but unsuitable for a parametric model. Most anomaly detection algorithms have weaknesses in dealing with streaming time-series data containing such patterns. In this paper, we propose a novel method for online contextual anomaly detection in streaming time-series data using generalized extreme studentized deviates (GESD) tests. The GESD test is relatively accurate and efficient because it performs statistical hypothesis testing but it is unable to handle streaming time-series data. Thus, focusing on streaming time-series data, we propose an online version of the test capable of detecting outliers under varying patterns. We perform extensive experiments with simulated data, syntactic data, and real online traffic data from Yahoo Webscope, showing a clear advantage of the proposed method, particularly for analyzing streaming data with varying patterns.

Debugging of Performance Degradation in Distributed Requests Handling Using Multilevel Trace Analysis

Root cause identification of performance degradation within distributed systems is often a difficult and time‐consuming task, yet it is crucial for maintaining high performance. In this paper, we present an execution trace‐driven solution that reduces the efforts required to investigate, debug, and solve performance problems found in multinode distributed systems. The proposed approach employs a unified analysis method to represent trace data collected from the user‐space level to the hardware level of involved nodes, allowing for efficient and effective root cause analysis. This solution works by extracting performance metrics and state information from trace data collected at user‐space, kernel, and network levels. The multisource trace data is then synchronized and structured in a multidimensional data store, which is designed specifically for this kind of data. A posteriori analysis using a top‐down approach is then used to investigate performance problems and detect their root causes. In this paper, we apply this generic framework to analyze trace data collected from the execution of the web server, database server, and application servers in a distributed LAMP (Linux, Apache, MySQL, and PHP) Stack. Using industrial level use cases, we show that the proposed approach is capable of investigating the root cause of performance issues, addressing unusual latency, and improving base latency by 70%. This is achieved with minimal tracing overhead that does not significantly impact performance, as well as O(log n) query response times for efficient analysis.

Quantitative Server Sizing Model for Performance Satisfaction in Secure U2L Migration

There are many challenges in measuring capacity size using units such as transaction per minute (TPM) and operation per second (OPS) for all server hardware, which are increasingly obsolete due to the shortening of hardware life cycle and the advent of microprocessors. Thus, the results of accredited performance measurements are used to measure these standards, which are then used as references in the capacity sizing method employed by industries. Generally, in industries, the capacity sizing of a web application server is defined by OPS, for which no clear transition criterion exists for calculating tpmC using an empirical verification method. In particular, considering secure Unix to Linux (U2L) x86-based servers migration, there are no methods to compare and verify the max-jOPS value of Standard Performance Evaluation Corp., which is an industry-recognized performance measurement standard, to Unix-based benchmark tpmC. In this study, scenario-based U2L migration was empirically verified by analyzing and comparing pre-to-post with the interpretation of Census statistics system log data, which was conducted on approximately 1.7M households over 21 days with 25,288 maximum concurrent users. Thus, we present the correlation through pre-to-post comparison and analysis of Unix-to-Linux for each Census statistics system log data by measuring the maximum CPU utilization as U2L migration between heterogeneous CPUs. These are applied to OPS by TPC-C proportional equation and quantified as derived conversion ratio of OPS to max-jOPS. As a result, we formulated and normalized an arithmetic expression, which is derived the CPU core conversion ratio of 0.165 as facile in U2L migration from a Unix-based legacy platform to a x86-based server. Therefore, we propose a new server sizing model for secure U2L migration between heterogeneous CPUs architecture, which results in an average of 14.3% improvement in data processing time.

Implementasi JWT pada Aplikasi Presensi dengan Validasi Fingerprint, Geotagging dan Device Checker

During the Covid-19 pandemic the government implement the imposition of Large-Scale Social Restrictions (PSBB). This PSBB also has an impact on companies in Jabodetabek including PT Akses Digital Indonesia. In order to comply with regulations given by the government, PT Akses Digital Indonesia has implemented a Work From Home (WFH) policy for its employees. During the implementation of the WFH policy, had difficulty monitoring the performance of its employees. Attendance is one measure of the level of performance, especially employee discipline. Based on the identification of the problem, an employee presence web service application is needed. Of course, this application should be as effective as conventional fingerprint machines in offices. This application is accompanied by a validation feature using geotagging, fingerprint and device checkers to minimize fraud when employees make attendance. This study implements the RESTful API security feature on web services using JSON Web Token (JWT) based on the HMAC SHA-256 algorithm. All implementation stages are tested using the Black Box method and show that JWT can secure the authentication process and secure data. The validation feature is able to provide attendance data with an accuracy of 90,9%.

MicroPhenoDB Associates Metagenomic Data with Pathogenic Microbes, Microbial Core Genes, and Human Disease Phenotypes

Microbes play important roles in human health and disease. The interaction between microbes and hosts is a reciprocal relationship, which remains largely under-explored. Current computational resources lack manually and consistently curated data to connect metagenomic data to pathogenic microbes, microbial core genes, and disease phenotypes. We developed the MicroPhenoDB database by manually curating and consistently integrating microbe-disease association data. MicroPhenoDB provides 5677 non-redundant associations between 1781 microbes and 542 human disease phenotypes across more than 22 human body sites. MicroPhenoDB also provides 696,934 relationships between 27,277 unique clade-specific core genes and 685 microbes. Disease phenotypes are classified and described using the Experimental Factor Ontology (EFO). A refined score model was developed to prioritize the associations based on evidential metrics. The sequence search option in MicroPhenoDB enables rapid identification of existing pathogenic microbes in samples without running the usual metagenomic data processing and assembly. MicroPhenoDB offers data browsing, searching, and visualization through user-friendly web interfaces and web service application programming interfaces. MicroPhenoDB is the first database platform to detail the relationships between pathogenic microbes, core genes, and disease phenotypes. It will accelerate metagenomic data analysis and assist studies in decoding microbes related to human diseases. MicroPhenoDB is available through http://www.liwzlab.cn/microphenodb and http://lilab2.sysu.edu.cn/microphenodb.

Application of a technology based on JavaEE in National Rural Environmental Health Monitoring Information Management System

To establish a national rural environmental health monitoring information management system supporting the application and management of four levels of data at the county, municipal, provincial and national levels, to realize the inter-departmental and cross-platform interconnection service of the national environmental health monitoring information management system. JavaEE and BS architecture platform, Web Service, XML and other data application and exchange service technologies were used to set data entry and audit functions, such as logic verification, extreme value verification and inter-table relationship verification for key variables, and also used to make the computer interface automatically configured. The functions of data entry, audit, exchange, historical data query and download, system management and maintenance, monitoring system feedback, data reporting progress of the national rural environmental health monitoring information management system across different departments and platforms can be realized by the JavaEE technology. The national rural environmental health monitoring information management system was simple in operation and friendly in interface, and had a good application prospect in the field of public health monitoring data management.

Smart KOT App Generation using an Android Application

One of the maximum critical levels of serving your visitors is to take their orders correctly. It is taken into consideration to be the start line of the patron’ s evaluation of your services. It is likewise the maximum fundamental step within the system of serving the right food to the proper patron. It is incredible how era can revolutionize the best yet crucial practices of hoteliers, and the Kitchen Order Token / Ticket app is a tremendous example of the same. In the traditional method, the order is taken by the waiter manually by using a pen and paper that is referred to as the Kitchen Order Token / Ticket. Usually had to be printed as duplicates(or triplicates in a few cases), traditional Kitchen Order Token / Ticket techniques serve to create miscommunication, consume greater time, and are extra vulnerable to manual mistakes. In this paper mainly concentrate on the Android application is used in the android platform Tablets for taking orders from the customer near their tables only. The app is used by the waiters to take down the orders. The particular device will be given to the waiters in the organization with their username and password logged in respectively. This app will act as the user end application and the server will be the web application (server) that is managed by the Administrator.

Trapping Runtime Faults from Web Service Fault Ontology

The ontology offers a clear considerate of the runtime faults in web services and helps to share this common understanding with users and applications. This paper presents Web Service Fault Ontology and to trap the runtime faults from the Web Services Fault Ontology. Web Service Fault Ontology has been developed to represent the different types of faults that can occur during the interactions between service users, service publishers and service registries: publishing, discovery, binding and execution of web services. Ontology has been proposed to define the intended behavior of web services from the service provider. A sample web service application was developed for testing the proposed model.

PEWI: An interactive web-based ecosystem service model for a broad public audience

We present an open source web application and ecosystem services model, People in Ecosystems/Watershed Integration (PEWI). PEWI integrates ecological models within an intuitive interface, allowing users to rapidly and dynamically evaluate how changes to agricultural land cover, use, and management affect ecosystem service outcomes. Users create and evaluate land-use and management scenarios in a virtual watershed across years and variable weather conditions using spatially explicit environmental patterns and dynamic feedback on 16 ecosystem service indicators. Indicators include agricultural production (i.e., crop and livestock) and environmental outcomes (i.e., water quality, habitat provision for biodiversity, soil quality, and carbon management). We based initial indicator equations on literature review, empirical data, existing models, and expert consultation, and finalized equations using a combination of testing, sensitivity analysis, and expert review. Model results allow users to explore nuanced tradeoffs and co-benefits between types and levels of agricultural products and other ecosystem services generated in a watershed. PEWI's niche as an ecological model is as a tool for engaging broad public audiences in understanding the science and management of landscapes and watersheds.

Web Service Implementation in Logistics Company uses JSON Web Token and RC4 Cryptography Algorithm

The development of e-commerce in Indonesia in the last five years has significantly increased the growth for logistics service companies. The Indonesian Logistics and Forwarders Association (ALFI) has predicted the growth potential of the logistics business in Indonesia to reach more than 30% by 2020. One of the efforts of logistics business companies to improve services in the logistics services business competition is to implement web service technology on mobile platforms, to easy access to services for customers. This research aims to build a web service with a RESTful approach. The REST architecture has limitations in the form of no authentication mechanism, so users can access and modify data. To improve its services, JSON Web Token (JWT) technology is needed in the authentication process and security of access rights. In terms of data storage and transmission security, a cryptographic algorithm is also needed to encrypt and maintain confidentiality in the database. RC4 algorithm is a cryptographic algorithm that is famous for its speed in the encoding process. RC4 encryption results are processed with the Base64 Algorithm so that encrypted messages can be stored in a database. The combination of the RC4 method with the Base64 method has strengthened aspects of database security. This research resulted in a prototype application that was built with a combination of web service methods, JWT and cryptographic techniques. The test results show that the web service application at the logistics service company that was created can run well with relatively fast access time, which is an average of 176 ms. With this access time, the process of managing data and information becomes more efficient because before making this application the process of handling a transaction takes up to 20 minutes.

Active Control Parameters Monitoring for Freight Trains, Using Wireless Sensor Network Platform and Internet of Things

Operating in a dynamic and competitive global market, railway companies have realized many years ago that better management of their logistical operations will enhance their strategic positions on the market. The financial component of daily operations is of utmost importance these days and many companies concluded that maximizing the profit relies on the integration of logistical activities with better income management. This paper presents a system consisting of three components: Ferodata BOX, Ferodata MOBILE, and Ferodata SYS, used to transmit to a web-server the status and operating information of an electric or diesel train. Train information includes data from locomotives, wagons, train driver, route, direction, fuel or electric consumption, speed, etc. All this information is processed in real-time and can be viewed in the web-server application. Additionally, the web-server application could manage and report details that are coming from the wagons, such as valuable information regarding the bogie wear, the identification of the wagons attached to a gasket, and identification the situations in which a wagon or group of wagons comes off the gasket configuration. All information about the status of trains is available on-line and at any moment the person responsible for management can use these data in their work.

Design and Implementation of Fashion Music Resource Website Based on Asp

Asp is a Script Running Environment on the Server side. through This Environment, Users Can Create and Run Dynamic Interactive Web Server Applications, Such as Interactive Dynamic Web Pages, Including the Use of Html Forms to Collect and Process Information, Upload and Download. This Website is a Music Education as the Theme of the Website; This Paper Will Introduce the Website Material Organization, Production Process “. the Characteristics of Part of This Web Site Are the Online Message Function. It Includes: Message Board Application, Messages, Browsing, Moderator Management Functions. All Data Read and in through the Establishment of the Access Database Server. the Main Page Using C# Language to Operate the Database, to Achieve through the Database Query, Form and Data Verification Using Java Script Scripting Language, and to Control the Page Display Correctly the Type of User Authority Design. Using Sql Database Contains Several Tables, to Realize the Operation of the System.

MiRViz: a novel webserver application to visualize and interpret microRNA datasets.

MicroRNAs (miRNAs) are small non-coding RNAs that are involved in the regulation of major pathways in eukaryotic cells through their binding to and repression of multiple mRNAs. With high-throughput methodologies, various outcomes can be measured that produce long lists of miRNAs that are often difficult to interpret. A common question is: after differential expression or phenotypic screening of miRNA mimics, which miRNA should be chosen for further investigation? Here, we present miRViz (http://mirviz.prabi.fr/), a webserver application designed to visualize and interpret large miRNA datasets, with no need for programming skills. MiRViz has two main goals: (i) to help biologists to raise data-driven hypotheses and (ii) to share miRNA datasets in a straightforward way through publishable quality data representation, with emphasis on relevant groups of miRNAs. MiRViz can currently handle datasets from 11 eukaryotic species. We present real-case applications of miRViz, and provide both datasets and procedures to reproduce the corresponding figures. MiRViz offers rapid identification of miRNA families, as demonstrated here for the miRNA-320 family, which is significantly exported in exosomes of colon cancer cells. We also visually highlight a group of miRNAs associated with pluripotency that is particularly active in control of a breast cancer stem-cell population in culture.

OligoMinerApp: a web-server application for the design of genome-scale oligonucleotide in situ hybridization probes through the flexible OligoMiner environment.

Fluorescence in situ hybridization (FISH) is a powerful single-cell technique that harnesses nucleic acid base pairing to detect the abundance and positioning of cellular RNA and DNA molecules in fixed samples. Recent technology development has paved the way to the construction of FISH probes entirely from synthetic oligonucleotides (oligos), allowing the optimization of thermodynamic properties together with the opportunity to design probes against any sequenced genome. However, comparatively little progress has been made in the development of computational tools to facilitate the oligos design, and even less has been done to extend their accessibility. OligoMiner is an open-source and modular pipeline written in Python that introduces a novel method of assessing probe specificity that employs supervised machine learning to predict probe binding specificity from genome-scale sequence alignment information. However, its use is restricted to only those people who are confident with command line interfaces because it lacks a Graphical User Interface (GUI), potentially cutting out many researchers from this technology. Here, we present OligoMinerApp (http://oligominerapp.org), a web-based application that aims to extend the OligoMiner framework through the implementation of a smart and easy-to-use GUI and the introduction of new functionalities specially designed to make effective probe mining available to everyone.

Addressing Web Application Security Issues and Vulnerabilities Assessment Pen Testing

The world relies heavily on the Internet, and every organization uses web applications extensively for information sharing, business purposes such as online sales, money transfer, etc., and Exchange services. Nowadays, providing security for web applications is the greatest challenge in the corporate world because web applications will be the main way for their daily business and if the web application is affected, then daily business and reputation will be affected. As many organizations have been using the web application service to share or store sensitive information about their clients and assets. So, Web Applications are inclined to security attacks and new security vulnerabilities have grown in the last two decades in a web application and have become an important target for attackers. So, it is very vital to secure a web application. The vulnerabilities in web applications will incur due to the security misconfigurations, programming mistakes, improper usage of security measures, etc. So, vulnerability assessment and pen testing will help to figure out the different vulnerabilities present in web applications. The websites are also using to deliver the critical services to its customers so it must run every time without any interception, to do this VAPT will play a crucial role. This paper reviews about vulnerability assessment and pretesting steps and types, website vulnerabilities like SQL Injection, Cross-Site scripting, file inclusion, cross-site request forgery, and broken authentication with types and remediations and also discuss how the effect of these vulnerabilities on a web application.

BedSect: An Integrated Web Server Application to Perform Intersection, Visualization, and Functional Annotation of Genomic Regions From Multiple Datasets.

A large number of genomic regions, such as transcription factor binding sites (TFBSs) captured from next generation sequencing (NGS) data analyses or those available from the public resource database ENCODE, are generally overlapped to answer a variety of biological questions. Though several command-line tools are available to perform such an analysis, there is a notable lack of an integrated webserver application with which to identify genomic region intersections, generate publication-ready plots depicting subsets of the overlapped regions, and perform functional annotation. Thus, there is an ardent need for a comprehensive and user-friendly webserver application that allows the users to either upload multiple datasets or select from the integrated Gene Transcription Regulation Database (GTRD). We thus introduce BedSect (http://imgsb.org/bedsect/.), which not only fulfils the above criteria but also performs intersection analysis along with visualization of the intersection regions as an UpSet and correlation plot using the integrated Shiny application. Moreover, analyses, including functional annotation, gene ontology, and biological pathways enrichment for the identified unique and intersected genomic regions, can also be performed using the integrated GREAT tool. To view the genomic regions in the genome browser, the inbuilt hyperlink for UCSC can redirect the user to visualize the results as custom tracks.