Java Programming Language Research Articles

METHODS OF ANALYTICS OF BIG DATA OF POPULAR ELECTRONIC NEWSPAPERS ON FACEBOOK

Due to the popularity of social networks, all famous brands use them to promote and support their product. For example, well-known foreign newspapers such as: Washington Post, New York Times, Time, Reuters, Forbes duplicate information about news on the Facebook social network for greater readership. Using methods of automated data collection from web pages, a list of posts is formed based on which data analysis is performed. Statistical results of frequency, popularity of certain articles, audience reach and people's reaction to posts are obtained from a large volume of data. In the Java programming language and using additional Selenium, JavaFX libraries, all processes for data normalization is developed and data visualization is used. In addition, the dependence of the post coverage of newspaper editions on the number of posts published during the day is investigated in Facebook social network. The work also examines the most popular posts and their topics. The relationship between keywords and real events is analyzed. Keywords : big data, social networks, data analytics, automated data collection, data processing.

A Heuristic Tool for Measuring Software Quality Using Program Language Standards

Background: Quality is a critical aspect of any software system. Indeed, it is a key factor for the competitiveness, longevity, and effectiveness of software products. Code review facilitates the discovery of programming errors and defects, and using programming language standards is such a technique. Aim: In this study, we developed a code review technique for achieving maximum software quality by using programming language standards. Method: A Java Code Quality Reviewer tool (JCQR) was proposed as a practical technique. It is an automated Java code reviewer that uses SUN and other customized Java standards. Results: The JCQR tool produces new quality-measurement information that indicates applied, satisfied, and violated rules in a piece of code. It also suggests whether code quality should be improved. Accordingly, it can aid junior developers and students in establishing a successful programming attitude. Limitation: JCQR uses customized SUN-based Java programming language standards. Therefore, it fails to cover certain features of Java.

Evaluating Erasure Codes in Dicoogle PACS

DICOM (Digital Imaging and Communication in Medicine) is a standard for image and data transmission in medical purpose hardware and is commonly used for viewing, storing, printing and transmitting images. As a part of the way that DICOM transmits files, the PACS (Picture Archiving and Communication System) platform, Dicoogle, has become one of the most in-demand image processing and viewing platforms. However, the Dicoogle PACS architecture does not guarantee image information recovery in the case of information loss. Therefore, this paper proposes a file recovery solution in the Dicoogle architecture. The proposal consists of maximizing the encoding and decoding performance of medical images through computational parallelism. To validate the proposal, the Java programming language based on the Reed-Solomon algorithm is implemented in different performance tests. The experimental results show that the proposal is optimal in terms of image processing time for the Dicoogle PACS storage system.

A Model for Stock Market Value Forecasting using Ensemble Artificial Neural Network

Artificial Neural Network (ANN) is a model used in capturing linear and non-linear relationship of input and output data. Its usage has been predominant in the prediction and forecasting market time series. However, there has been low bias and high variance issues associated with ANN models such as the simple multi-layer perceptron model. This usually happens when training large dataset. The objective of this work was to develop an efficient forecasting model using Ensemble ANN to unravel the market mysteries for accurate decision on investment. This paper employed the Ensemble ANN modeling technique to tackle the high variations in stock market training dataset faced when using a simple multi-layer perceptron model by using the theory of ensemble averaging. The Ensemble ANN model was developed and implemented using NeurophStudio and Java programming language, then trained and tested using daily data of stock market prices from various banks, for a period of 497 days. The methodology adopted to achieve this task is the agile methodology. The output of the proposed predictive model was compared with four traditional neural network multilayer perceptron algorithms, and outperformed the traditional neural network multilayer perceptron algorithms. The proposed model gave an average to best predictive error for any day when compared with the other four traditional models.

Tour Guide Backpacker Application Designing Bengkulu City Based on Android

One of the trends in enjoying tourism that is currently developing is backpacking. Generally, backpackers are young tourists who want new experiences by doing tours at the least possible cost, they use conventional tourist transportation models and carry out their activities freely without hiring the services of a tour company. Backpacking has its own advantages but there are some issues especially for beginner backpackers. They will experience difficulties when traveling to an area that is rarely visited by other backpackers. For that we need an application that can be used as a reference for beginner backpackers who want to visit tourist areas, especially the city of Bengkulu. Applications that can accommodate data needs of a backpacker, especially regarding cheap hotel data, types of city transportation to take, recommended tourist attractions including the amount of costs required. The application will be integrated with firebase control so that the application becomes dynamic because the data is obtained from the database. To complete the application, the author will also use the google map API for more details about tourist locations, restaurants and inns that the user wants to visit. The frond end application can be run on the android operating system and is built using the java and xml programming languages, while the back end application is built using PHP and MySQL. To be able to display the map requires a separate API which is obtained from the google console. Applications use JSON data as a link between the front end and back end of the application. It is hoped that this application can help novice backpackers enjoy their travels in Bengkulu City which at the same time can be a guide for beginner backpackers who have never backpacked and do not understand the right and safe ways to travel to certain destinations with minimal costs.

IMPLEMENTASI APLIKASI PEMESANAN MAKANAN DAN MINUMAN PADA CAFE LA BANCA BERBASIS ANDROID

Along with the development of technology, most cafes have used technology in business processes to simplify the ordering and service process. Currently La Banca cafe is still using a manual system, where food and beverage orders still use paper and pencil, so there are frequent recording errors, duplicate orders, random orders, resulting in the ordering process being slow and irregular. Therefore, an android-based food and beverage ordering system will be built. The method used is the prototype method. Interview technique is used to obtain system requirements specifications. This application is built using the MySQL database, the PHP programming language on the web side, and the Java programming language on the Android side. In addition, the system design process uses UML diagrams. Therefore, it is hoped that the application that is built can facilitate the process of ordering food and drinks from customers to the waitress to the kitchen and make it easier for leaders to monitor business processes that occur online. Based on the results of blackbox testing, both on the web and on the android side, we get the appropriate results between the input given and the output generated.

An integrated knowledge-based system for early detection of eye refractive error using data mining

Refractive error is one of optical defect in the human visual system. Refractive error is a very common disease these days in all populations and in all age groups. Uncorrected and undetected refractive error contributes to visual impairment, blindness and places a considerable burden on a person in the world. The long use of technological devices such as smart phones also poses a new burden on the human eye. The intensity and brightness of these digital devices open a new door for high prevalence of eye refractive errors. Early medical diagnosis of the disease may help in avoiding complications and blindness. Data mining algorithms can be applied to help in ophthalmology and detection of an eye disease at an early stage. So mining the ophthalmology data in efficient manner is a critical issue. This research work deals with development of an integrated knowledge-based system that helps to detect eye refractive error early and provides appropriate advice for the patients. In this study, the hybrid knowledge discovery process model of data mining that was developed for academic research is used. About 9000 ophthalmology data from selected eye health centers are used to build the model. The sample data was preprocessed for missing values, outliers, and noise. Then the model is built using decision tree (J48 and REPTree) and rule induction (JRip and part) algorithms. The part algorithm has registered better predictive performance with accuracy of 60% and 96.45% for subjective and objective based model evaluation, respectively as compared to J48, REPTree, and JRip. Finally, the knowledge discovered with this algorithm is further used to build the knowledge-based systems. The Java programing language is used to integrate data mining results to knowledge-based system. The performance of the proposed system is evaluated by preparing test cases. Overall, the knowledge based system resulted in 89.2% accuracy. Finally the study concludes that discovering knowledge using data mining techniques could be used as a functional eye refractive error detection system.

Comparative analysis of connection performance with databases via JDBC interface and ORM programming frameworks

The research subject of this paper was the comparative analysis of efficiency of connections with databases using different communication methods based on Java programming language. The tools investigated included JDBC drivers and Object-relational mapping (ORM) frameworks. A survey based on 8 different criteria was conducted to determine the most effective method and tool for working with relational databases when developing Java applications. The weights of the criteria were determined through a survey of Java programmers and computer science students.

The comparative analysis of Java frameworks: Spring Boot, Micronaut and Quarkus

The aim of the work is a comparative analysis of three frameworks designed for building web applications for the Java programming language: Spring Boot 2.4.4, Micronaut 2.5.4 and Quarkus 1.13.4.Final. Test applications were prepared, equipped with the same functionality as used in the experiment consisting in measuring the server response times to a POST request – performing the data entry into the database. For each test application, the scenario aimed at measuring the time of handling requests under various load conditions was repeated five times. During each repetition of the scenario, the load which was the average number of requests sent per second by virtual users was increased. In parallel with performance tests, the reliability of the test applications was measured. Reliability was defined as the percentage of requests sent to the server that ended in a failure. The comparative analysis also took into consideration the volume of the code of the test applications based on the selected frameworks. The performed analyses showed that in terms of all the criteria considered in this work Micronaut proved to be the best framework.

An improved Framework for Biometric Database’s privacy

Security and privacy are huge challenges in biometric systems. Biometrics are sensitive data that should be protected from any attacker and especially attackers targeting the confidentiality and integrity of biometric data. In this paper an extensive review of different physiological biometric techniques is provided. A comparative analysis of the various sus mentioned biometrics, including characteristics and properties is conducted. Qualitative and quantitative evaluation of the most relevant physiological biometrics is achieved. Furthermore, we propose a new framework for biometric database privacy. Our approach is based on the use of the promising fully homomorphic encryption technology. As a proof of concept, we establish an initial implementation of our security module using JAVA programming language.

SIGNORApp: a Cytoscape 3 application to access SIGNOR data.

SIGNORApp is a Cytoscape 3 (3.8 and later) application that provides access to causal interactions annotated in the SIGNOR resource. The application builds networks that can be represented as weighted, signed, directed graphs, where nodes are interacting biological entities and edges represent causal interactions captured by expert curators from experiments reported in peer reviewed journals. Users can query the SIGNOR dataset with (i) single or multiple entity name(s) or identifier(s) and optionally they may require to include in the output network their interacting partners, (ii) browse pathways that are annotated in the SIGNOR resource and (iii) extract the entire causal interactome. The app offers two visualizations modes: one only displaying entity interactions and a second emphasizing the post-translational modifications occurring as a consequence of the interaction. In addition, users can click on nodes and edges to access entity and interaction annotations. Causal information is available for three model organisms: Homo sapiens, Mus musculus and Rattus norvegicus. SIGNORApp has been developed for Cytoscape 3 (3.8 and later) in the Java programming language. The latest source code and the plugin can be found at: https://github.com/SIGNORcysAPP/signor-app and https://apps.cytoscape.org/apps/signorapp, respectively. Supplementary data are available at Bioinformatics online.

Sistem Informasi Kaji Cepat Bencana Kebakaran Bpbd Provinsi Dki Jakarta Menggunakan Java Netbeans

The information system for rapid assessment of the BPBD of DKI Jakarta Province was built so that the fire disaster data processing system at the BPBD of DKI Jakarta Province could run precisely, effectively and efficiently. The case approach at BPBD DKI Jakarta Province uses a descriptive method, which is a method with the aim of making a systematic, factual, and accurate description of the facts and characteristics of a particular research object. In the first stage, the writer collects the data and materials needed first, and in the next stage the writer processes and discusses to arrive at a conclusion. The fire rapid assessment information system built by the author uses the Java programming language and Mysql database which can provide previous convenience in terms of processing fire data quickly and precisely compared to systems that still use manual systems, providing automatic calculations that make it easier to meet the basic needs of fire victims, and also able to generate reports of fire events, disaster reports, refugee data, calculation of basic needs and handling of fire data. Before the new system is implemented, it is recommended that the Emergency and Logistics Division be given a good explanation first, regarding the work process that will be implemented so that no incident occurs. And it is necessary to conduct training on the use of the system for the distribution section of this system so that they can know and understand how the new system works.
 Keywords: system, rapid assessment, fire, disaster, reporting

LSB-based Audio Steganographical Framework for Securing Data in Transit

The benefits that individuals and organizations derive from the digital era comes with its own challenges. Globally, data has become one of the greatest assets for decision making and operational improvements among businesses, government agencies and even individuals. Data on its own and at its source does not make so much contribution to business processes. Data is transmitted from one location to another towards attainment of its goal as a critical resource in decision making. However, data including sensitive or confidential ones are transmitted via public channels such as the Internet. The data so transmitted via the Internet is vulnerable to interception and unauthorized manipulation. This demands that data in transit is protected from the prying eyes of the malicious internet users. One of such strategies for transmitting data via public channels such as the Internet without attracting attention from intruders is steganography. In this paper, the least significant bit algorithm was used with an audio file for hiding data in transit. The algorithm used in this research proves to be one of the simplest ways of securing data using audio steganography. The method employed the LSB technique by using audio files as the stego object for the final implementation in the Java programming language. The experimental results proved to be one of the best methods of implementing steganography. The accuracy of the stego objects shows high quality, and similarity scores with an improved processing time.

Development and Implementation of Electronic Library for Protection of Copyrights

Today, many different publications such as journals and books are presented in electronic environment. Copyright concept is still discussed about the distribution of the books and paid publications digitally. The main objective of electronic library application to be developed is to display a certain part of the books and publications including the information that the users intend to reach. In this study, such operations as the search of phrases within various portable document format (PDF) documents like e-books, theses and technical reports or on the bookmarks of the documents, and the generation of its results as a PDF document have been showed. It has been viewed that the phrase search process gives more accurate results than the search on bookmarks, but is slower. As a result of the studies conducted on PDF documents specially created according to parameters such as file size, number of pages, content type and number of bookmarks, it has been observed that these parameters affect search performance at different degrees. In addition, an open source plug-in that can perform these operations has been also developed for the electronic library application. The plug-in developed independently of electronic library application in Java programming language can easily be added to the web applications. Apart from the plug-in, there is also a lot of information required for users to create and manage their own PDF documents.

A Novel Intuitionistic Fuzzy Correlation Algorithm and Its Applications in Pattern Recognition and Student Admission Process

Many computing methods have been studied in intuitionistic fuzzy environment to enhance the resourcefulness of intuitionistic fuzzy sets in modelling real-life problems, among which, correlation coefficient is prominent. This paper proposes a new intuitionistic fuzzy correlation algorithm via intuitionistic fuzzy deviation, variance and covariance by taking into account the complete parameters of intuitionistic fuzzy sets. This new computing technique does not only evaluates the strength of relationship between the intuitionistic fuzzy sets but also indicates whether the intuitionistic fuzzy sets have either positive or negative linear relationship. The proposed technique is substantiated with some theoretical results, and numerically validated to be superior in terms of performance index in contrast to some hitherto methods. Multi-criteria decision-making processes involving pattern recognition and students’ admission process are determined with the aid of the proposed intuitionistic fuzzy correlation algorithm coded with JAVA programming language.

Developing mobile software for foreign language learning

Problem. The subject of the study is an interactive mobile application in Java. To perform this work, the following tasks were set: analysis of programming environments and languages of development; analysis of methods for developing the logic and interface of the mobile application; development of an interactive mobile application in Java. Goal. The aim of the work is to develop a mobile application for learning a foreign language for the Android operating system, whose interface and logic will be modern, user-friendly and accessible to users. Methodology. The general concept of a mobile application for learning a foreign language is as follows: learning a foreign language offline, versatile learning (words, grammar), the presence of a motivational unit, simple design. The object of research is the process of building an interactive mobile application in Java for the Android operating system. In the course of the work, a study of programming languages and environments for the development of mobile applications was conducted. Programming languages such as: Java, C ++, C # were considered. Programming environments such as Android Studio, NetBeans and Eclipse were also analyzed. As a result, the Java programming language and Android Studio programming environment were chosen for the development of the mobile application. Two types of markup were selected: LinearLayout; ConstraintLayout. Results. The mobile application for learning a foreign language for the Android operating system was developed in Android Studio in two programming languages: Java (logic) and XML (interface). The aim to provide the application with modern interface and logic, to make it user-friendly and accessible to users was completed. Originality. Contribution has been made to the field of using smartphones for learning foreign languages. The sphere of using smartphones has been expanded with the use of all modern trends to the creation of mobile applications for learning foreign languages. Practicalvalue. Considering that the number of potential users will only increase in the nearest future, the developed mobile application for learning a foreign language is an ideal platform for educating those who want to develop and learn foreign languages for themselves, as well as for work, communication and travel.

Aplikasi Kasir Mobile Berbasis Android Untuk Usaha Mikro Kecil Dan Menengah

Technology plays an important role in the management of a trading business, the cashier program at this time can be integrated with the Barcode Scanner which in its development is now implemented on smartphone cameras. The purpose of making this application is so that micro and small business owners can manage their business from product inventory to transaction processing with customers. The research method used to make this application begins with determining the scope of research, collecting data, consulting, studying literature, and implementing software development with the waterfall method. This application is based on Android so it uses the Java programming language with SQLite as the application database. It is hoped that this application can make it easier for micro and small business owners to advance their business.

Self-Service Technology Berbasis Android Menggunakan RestFul Web Service Pada Bisnis Restoran

The process of ordering food and beverage menus at the Meatzilla restaurant still uses paper and stationery. Constraints that are often encountered are when restaurant visitors are crowded, but waiters are limited, often mistaken of orders and loss and order of paper orders and various other obstacles. This can cause feelings of disappointment and negative impressions which will certainly result in reduced customer satisfaction. This study aims to produce mobile device software that can support the running of food and beverage ordering systems at Meatzilla Restaurant self-service so that orders arrive quickly and right desires. This system is made using XML and java programming language with android studio tools version 3.5.3. Research in the form of case studies, software design methods using extreme programming models and system modeling tools using Unified Modeling Language (UML). This system is connected to the internet network where the admin, cashier, kitchen and customers are integrated with a restful web service. The final result of this study is a food and beverage ordering system consisting of 4 (four) parts, namely customer and admin software that is accessed by using a smartphone and the cashier and kitchen which is accessed by a PC / laptop. this system is very helpful in facilitating the management of customer orders.

An Analysis of the Performance and Configuration Features of MySQL Document Store and Elasticsearch as an Alternative Backend in a Data Replication Solution

In recent years, with the increase in the volume and complexity of data, choosing a suitable database for storing huge amounts of data is not easy, because it must consider aspects such as manageability, scalability, and extensibility. Nowadays, the NoSQL databases have gained immense popularity for their efficiency in managing such datasets compared to relational databases. However, relational databases also exhibit some advantages in certain circumstances, therefore many applications use a combined approach: relational and non-relational. This paper performs a comparative evaluation of two popular open-source DBMSs: MySQL Document Store and Elasticsearch as non-relational DBMSs; this comparison is based on a detailed analysis of CRUD operations for different amounts of data showing how the databases could be modeled and used in an application. A case-study application was developed for this purpose in Java programming language and Spring framework using for data storage both relational MySQL and non-relational Elasticsearch and MySQL Document Store. To model the real situation encountered in several developed applications that use both relational and non-relational databases, a data replication solution that imports data from the primary relational MySQL database into Elasticsearch and MySQL Document Store as possible alternatives for more efficient data search was proposed and implemented.

Web-Based Student Project Management System: A Tetfund Institution-Based Research Report

Students’ final year projects are often characterized by poor quality, duplication of existing works, prolonged research writing and late submission. This TetFund sponsored research project: Web-based Student Project Management System, is designed with the latest technologies to mitigate these challenges. The project is designed to provide continuous, timeless and boundless communication between project coordinators and students, students and their supervisors, as well as students researching in the same field. The project automates routine project activities such as listing and selection of project topics, approval of project topics, project report writing guidelines, student/supervisor correspondence, assessment and report submission, and finally report storage and management. Thus, it will eliminate the duplication and recycling of existing projects by making sure that such projects are rejected automatically at the very point of submission for approval, as well as guarantee high quality and timely completion and submission of students’ projects. Agile software design approach, due to its high degree of stakeholder involvement and incremental testing of functionalities, was deployed to design the project. Also the system was developed using Java programming language with Apache Tomcat Server and MySQL as the Database Management System.