Enterprise Java Research Articles

Comparison of JEE platform web applications development using JavaServer Faces and Spring Boot example

The article presents the results of the web applications development effectiveness on the Java Enterprise Edition platform using JavaServer Faces and Spring Boot. The comparative analysis was performed using the specially prepared test applications, implemented in both technologies.

LigoDV-web: Providing easy, secure and universal access to a large distributed scientific data store for the LIGO scientific collaboration

Gravitational-wave observatories around the world, including the Laser Interferometer Gravitational-Wave Observatory (LIGO), record a large volume of gravitational-wave output data and auxiliary data about the instruments and their environments. These data are stored at the observatory sites and distributed to computing clusters for data analysis. LigoDV-web is a web-based data viewer that provides access to data recorded at the LIGO Hanford, LIGO Livingston and GEO600 observatories, and the 40 m prototype interferometer at Caltech. The challenge addressed by this project is to provide meaningful visualizations of small data sets to anyone in the collaboration in a fast, secure and reliable manner with minimal software, hardware and training required of the end users. LigoDV-web is implemented as a Java Enterprise Application, with Shibboleth Single Sign On for authentication and authorization, and a proprietary network protocol used for data access on the back end. Collaboration members with proper credentials can request data be displayed in any of several general formats from any Internet appliance that supports a modern browser with Javascript and minimal HTML5 support, including personal computers, smartphones, and tablets. Since its inception in 2012, 634 unique users have visited the LigoDV-web website in a total of 33,861 sessions and generated a total of 139,875 plots. This infrastructure has been helpful in many analyses within the collaboration including follow-up of the data surrounding the first gravitational-wave events observed by LIGO in 2015.

An Administrative Cluster-based Cooperative Caching (ACCC) strategy for Mobile Ad Hoc Networks

Recent explosive growth in computing and wireless communication technologies has led to an increasing interest in mobile ad hoc networks (MANET). Among the many challenges for MANET designers and users, data availability is a critical issue. Caching is considered as an effective solution for the availability problem. Although cooperative caching improves the data access by reducing access latency and bandwidth usage in MANETs, it still suffers from several hurdles and technical problems. This paper introduces a new cooperative caching strategy for MANETs, which is called Administrative Cluster-Based Cooperative Caching (ACCC). ACCC keeps at most two copies of the cached data items in each cluster. Moreover, it develops a new administrative module, which perfectly controls the caching process. ACCC is a cluster-based caching strategy, hence, it divides the network into a set of overlapping clusters. Each cluster is managed by a Cluster Manager (CM) as well as a Cluster Backup (CB). ACCC has several salient features that other techniques do not have such as: (i) the integration between CM and CB besides the integration among all the caching modules improves the data availability within the cluster, (ii) ACCC; maximizes the caching hit ratio, reduces access delay, and saves the battery power of network nodes. ACCC is simulated using Java Caching System JCS2 with the efficient platform Java Enterprise Edition EE8 using a client/server model. Experimental results have shown that ACCC outperforms recent cluster-based caching strategies as it introduces higher cache hit ratio as well as better data availability.

Inductive Visual Miner Plugin Customization for the Detection of Eventualities in the Processes of a Hospital Information System

Process Mining is a novel alternative to analyze the real processes, from extraction of knowledge of the event logs available in the information systems. The discovery is one type of process mining that allows obtaining process models, which can be observed visually eventualities in the processes modeled. Inductive Visual Miner is a plugin of ProM tool that supports the discovery and can generate animated process models inspired in a Business Process Modeling Notation. Actually, the knowledge needed to model hospital processes is acquired from empirical methods of researchers in the health institution. Hospital Information Systems possess an event log of processes activities, and it is not being exploited to detect eventualities in hospital processes. This research focused on the development of an Inductive Visual Miner customization, for the detection of eventualities in hospital processes. To develop the solution was used Java 1.6 as programming language, JBoss 4.2 as the application Server and Eclipse 3.4 as Integrated Development Environment. Java Enterprise Edition 5.0 platform was used during the whole process. The investigation allows to generate models of processes where can be observed eventualities of hospital processes.

Evaluating a decision making system for cardiovascular dysautonomias diagnosis.

Autonomic nervous system (ANS) is the part of the nervous system that is involved in homeostasis of the whole body functions. A malfunction in this system can lead to a cardiovascular dysautonomias. Hence, a set of dynamic tests are adopted in ANS units to diagnose and treat patients with cardiovascular dysautonomias. The purpose of this study is to develop and evaluate a decision tree based cardiovascular dysautonomias prediction system on a dataset collected from the ANS unit of the Moroccan university hospital Avicenne. We collected a dataset of 263 records from the ANS unit of the Avicenne hospital. This dataset was split into three subsets: training set (123 records), test set (55 records) and validation set (85 records). C4.5 decision tree algorithm was used in this study to develop the prediction system. Moreover, Java Enterprise Edition platform was used to implement a prototype of the developed system which was deployed in the Avicenne ANS unit so as to be clinically validated. The performance of the decision tree-based prediction system was evaluated by means of the error rate criterion. The error rates were measured for each classifier and have achieved an average value of 1.46, 2.24 and 0.89 % in training, test, and validation sets respectively. The results obtained were encouraging but further replicated studies are still needed to be performed in order to confirm the findings of this study.

Development of a System to Use Patient's Information Which is Required at the Radiological Department

The purpose of this study is to develop a new system to get and share some data of a patient which are required for a radiological examination not using an electronic medical chart or a radiological information system (RIS), and also to demonstrate that this system is operated on cloud technology. I used Java Enterprise Edition (Java EE) as a programing language and MySQL as a server software, and I used two laptops as hardware for client computer and server computer. For cloud computing, I hired a server of Google App Engine for Java (GAE). As a result, I could get some data of the patient required at his/her examination instantly using this system. This system also helps to improve the efficiency of examination. For example, it has been useful when I want to decide radiographic condition or to create CT images such as multi-planar reconstruction (MPR) or volume rendering (VR). When it comes to cloud computing, the GAE was used experimentally due to some legal restrictions. From the above points it is clear that this system has played an important role in radiological examinations, but there has been still few things which I have to resolve for cloud computing.

POM/JLEC

This paper presents a symbolic-execution-based approach and its implementation by POM/JLEC for checking the logical equivalence between two programs in the system replacement context. The primary contributions lie in the development of POM/JLEC, a fully automatic equivalence checker for Java enterprise systems. POM/JLEC consists of three main components: Domain Specific Pre-Processor for extracting the target code from the original system and adjusting it to a suitable scope for verification, Symbolic Execution for generating symbolic summaries, and solver-based EQuality comparison for comparing the symbolic summaries together and returning counter examples in the case of non-equivalence. We have evaluated POM/JLEC with a large-scale benchmark created from the function layer code of an industrial enterprise system. The evaluation result with 54% test cases passed shows the feasibility for deploying its mature version into software development industry.

The Influence of Entrepreneurship Orientation on Organizational Learning, Sustainable Competitive Advantage, and Company Performance at Small and Medium Enterprises in West Java

Objective - The goal of this research is to analyze the impact of entrepreneurship orientation, organizational culture and business strategy on company performance –both simultaneously and partially –of Small and Medium Enterprises in West Java. The objects of this research are entrepreneurship orientation, organizational culture, business strategy and company performance of Small and Medium Enterprises in West Java. Methodology/Technique - The type of the intervariable relation is causality. The characteristics of this research are descriptive and verificative, and the verificative analysis is conducted to test the hypothesis by using Structural Equation Model (SEM) statistical tool. Findings - Based on the results, entrepreneurship orientation, organizational culture and business strategy have an influence on company performance whereas other factors affect the rest of the variables. Furthermore, partially the three variables influence company performance significantly. Novelty - These variables are genuine usage for small and medium enterprises in West Java to increase it productivities. Type of Paper - Empirical Keywords: entrepreneurship orientation; organizational culture; business strategy; company performance.

효율적인 데이터베이스 마케팅을 위한 데이터마이닝 전처리도구에 관한 연구

Abstract This paper is to construction of the data mining preprocessing tool for efficient database marketing. We compare and evaluate the often used data mining tools based on the access method to local and remote databases, and on the exchange of information resources between different computers. The evaluated preprocessing of data mining tools are Answer Tree, Climentine, Enterprise Miner, Kensington, and Weka. We propose a design principle for an efficient system for data preprocessing for data mining on the distributed networks. This system is based on Java technology including EJB(Enterprise Java Beans) and XML(eXtensible Markup Language). Key Words : Big data, Data Mining, Data Mining Tool, Preprocessing, Database Marketing * 본 연구는 2009년도 동남보건대학교 연구비 지원에 의하여 수행된 것임Received 16 September 2014, Revised 26 October 2014Accepted 20 November 2014Corresponding Author: Jun-Seok Lee(Dongnam Health University) Email: jslee@dongnam.ac.krⒸ The Society of Digital Policy & Management. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is ISSN: 1738-1916 properly cited.

Design and development of a web-enabled data mining system employing JEE technologies

With the advent of cost effective storage systems and high speed network connectivity, the amount of data gathered by various transactional systems has increased manifold and processing the same has become a real challenge. A number of data mining systems have been developed for processing such huge data in a meaningful way. Most of these systems are stand-alone in nature except a few of them that facilitate a subset of their overall functionality for web-based usage. This is mainly due to the challenges involved in designing the architectural framework required for developing a web-enabled data mining system. Such a system is aimed at analysing the transactional data pertaining to various input domains employing some advanced graph mining techniques like subgraph matching, frequent subgraph discovery and graph visualization. In this paper, we present an innovative approach employing various Java Enterprise Edition (JEE) based technologies for developing a data mining system that operates in the web environment. This paper basically presents the architectural principles required to design a suitable framework for enabling the development of such a system and the implementation challenges faced in realising the same. The paper also discusses functional details of the system involving various graph mining techniques. A few general guidelines based on our understanding during the system implementation are also included in this paper for completeness.

An implementation of enhanced public key infrastructure

In this paper, we present the implementation of an enhanced public key infrastructure (PKI) which supports not only conventional public key cryptography (PKC) but also identity-based cryptography (IBC). In addition, we discuss the possible way of placing together IBC and PKI as well as solving the problems of user secret key revocation of PKI and IBC. As a proof of concept, an IBC framework is incorporated into Enterprise Java Bean Certified Authority (EJBCA) and the performance is reported.

The Design and Implementation of Optimal Scheduling in Hydro-Thermal-Wind System

This paper mainly put forwards the design and implementation of hydropower, thermal power, and wind power joint optimal scheduling system, introduces the framework and functional module of JAVA enterprise application technology, and focuses on the key technologies of the system. The system is based on provincial scheduling automation platform. It takes decision-making as the target, realizes wind power probability prediction, conventional power generation planning, hydropower, thermal power, and wind power joint scheduling, constraint checking, impact assessment and other functions, and helps the operators to make scientific and reasonable power generation plans, achieve intelligent scheduling, and enhance system operation level.

Implementation of Cooperatives’ Principles on Ranked-Cooperatives, East Java 2012

The purposes of this research to identify of values and cooperatives’ principles on the field, to identify roles and member participation to improving cooperatives, to identify cooperatives’ performance based on cooperatives’ principles, and to identify problems in order to implementing the cooperatives’ principles. Samples were collected amount 52 cooperatives have been assessed as the accredited cooperatives by Small Medium Enterprise and Cooperatives Office East Java. Methodology supported this research were inventory, field survey, and data analysis. Data have been analyzed and evaluated on 2 steps: grading the defined instrument and checking the supported documents given by respondents. The research findings: Cooperatives’ Principles is an abstract vision which has to spell out how these Principles are to be practiced. The Success programmes as a way to implementing Cooperatives’ Principles that guiding the operation of organization. The product of all cooperatives surveyed was not specific products and need innovation products. Better service for members to survive among other cooperatives. To implement Cooperatives’ Principles, there were correlations between: Management Control and Members’ Satisfaction, Boards’ Performance and Members’ Satisfaction, Well-controlled Administration and Members’ Satisfaction, Capital Structure and Members’ Satisfaction, Unit Business and Members’ Satisfaction, Training & Education and Members’ Satisfaction, Cohesiveness and Members’ Satisfaction.

Aplikace Google Datastore a Javaserver stránky standardní knihovny

The term has been used frequently a lot lately. One of the distribution models of cloud computing is Platform as a Service also known as PaaS, where the providers provide complete tools for the support of the whole life cycle of development and providing of applications. One of the providers of PaaS is also Google with its Google App Engine. Applications of the Google App Engine are developed with Java Enterprise Editions technologies like Java Servlets and JavaServer Pages. One of the services offered by the Google App Engine is also Datastore database. Unfortunately, this database is not relational, which makes it impossible to use all the common tools of the Java Enterprise Editions web applications to the access the data. In the JavaServer Pages these tools are mainly tags of JavaServer Pages Standard Tag Library of the SQL type. This article will show you how these tools can be adapted for the use with the Datastore database.

System for Processing and Analysis of Information Using Clustering Technique

The digitization of the different processes and automation of services generates large volumes of information. The Data Mining is an artificial intelligence technique that allows finding non trivial information residing in stored data. This research aims to develop a view of analysis for the Integral System for Primary Health Care (SIAPS), employing clustering technique specifically using the partitioned algorithms, with the goal of completing an analysis of the clinical information of the patients, for it raises the extraction of knowledge from a data warehouse powered by the repository of electronic medical records. To develop the solution was used Java 1.6 as programming language, JBoss 4.2 as the application Server and Eclipse 3.4 as Integrated Development Environment. Java Enterprise Edition 5.0 platform was used during the whole process. As result was implemented a system to facilitate the understanding of generated models to support the process of making clinics decisions.

A highly scalable, interoperable clinical decision support service

To create a clinical decision support (CDS) system that is shareable across healthcare delivery systems and settings over large geographic regions. The enterprise clinical rules service (ECRS) realizes nine design principles through a series of enterprise java beans and leverages off-the-shelf rules management systems in order to provide consistent, maintainable, and scalable decision support in a variety of settings. The ECRS is deployed at Partners HealthCare System (PHS) and is in use for a series of trials by members of the CDS consortium, including internally developed systems at PHS, the Regenstrief Institute, and vendor-based systems deployed at locations in Oregon and New Jersey. Performance measures indicate that the ECRS provides sub-second response time when measured apart from services required to retrieve data and assemble the continuity of care document used as input. We consider related work, design decisions, comparisons with emerging national standards, and discuss uses and limitations of the ECRS. ECRS design, implementation, and use in CDS consortium trials indicate that it provides the flexibility and modularity needed for broad use and performs adequately. Future work will investigate additional CDS patterns, alternative methods of data passing, and further optimizations in ECRS performance.

DESIGN AND IMPLEMENTATION OF A PRIVACY PRESERVED OFF-PREMISES CLOUD STORAGE

Despite several cost-effective and flexible charact eristics of cloud computing, some clients are reluc tant to adopt this paradigm due to emerging security and pr ivacy concerns. Organization such as Healthcare and Payment Card Industry where confidentiality of info rmation is a vital act, are not assertive to trust the security techniques and privacy policies offered by cloud service providers. Malicious attackers have violated the cloud storages to steal, view, manipul ate and tamper client’s data. Attacks on cloud storages are extremely challenging to detect and mi tigate. In order to formulate privacy preserved cloud storage, in this research paper, we propose a n improved technique that consists of five contributions such as Resilient role-based access c ontrol mechanism, Partial homomorphic cryptography, metadata generation and sound stegano graphy, Efficient third-party auditing service, Data backup and recovery process. We implemented these components using Java Enterprise Edition with Glassfish Server. Finally we evaluated our pro posed technique by penetration testing and the results showed that client’s data is intact and pro tected from malicious attackers.

Development of Object-Oriented Analysis and Design Methodology for Secure Web Applications

In order to develop such web-based application systems efficiently, object-oriented analysis and design methodology is used, and Java EE(Java Platform, Enterprise Edition) technologies are used for its implementation. In addition, security issues have become increasingly important. Consequently, since the security method by Java EE mechanism is implemented at the last step only, it is difficult to apply constant security during the whole process of system development from the requirement analysis to implementation. ……………. Therefore, this paper suggests an object-oriented analysis and design methodology emphasized in the security for secure web application systems from the requirement analysis to implementation. The object-oriented analysis and design methodology adopts UMLsec, the modeling language with an emphasis on security for the requirement analysis and system analysis and design with regard to security. And for its implementation, RBAC(Role Based Access Control) of servlet from Java EE technologies is used. Also, the object-oriented analysis and design methodology for the secure web application is applied on an online banking system in order to prove its effectiveness.

Organizational Culture in Manufacturing Company: Study Case of Small and Medium Sized Enterprises in Central Java, Indonesia

This paper discuss the organizational culture in metal manufacturing company which is classified as small and medium sized enterprises (SME) located in Central Java Province, Indonesia. This study is conducted to observe the action of the SME, especially for metal manufacturing company to face the regional free trade agreement in South-East Asia as a consequence of global market. The organizational culture is classified based on the internal factor, external factor, stability and control and flexibility and discretion. Four companies are involved in this study, where Company A, B and C are classified as small enterprises and Company D is classified as medium enterprise. The results described that the organizational culture is adhocracy for Company A, market for Company B and Company D and hierarchy for Company C. The adhocracy cultured company is predicted to be survived in ACFTA due to their innovative, customized and unique metal product and also specific customer. The medium enterprises is predicted to survive in ACFTA era due to their strong organizational structure, focused future plan, product diversification and measured product quality and standardization. The organizational culture for SMEs which is predicted to be suitable in winning ACFTA competition is adhocracy and market and supported by the product innovation, diversification and quality control. Mechanical and industrial engineers from university should takes place in assisting and supporting SMEs to win the competition in ACFTA era.

JavaEE for breakfast: start off on the right foot developing biological Web applications.

Bioinformaticians may be intimidated by the apparent complexity of programming languages such as Java and stick to efficient but less suited languages for building rich applications and web sites. Nevertheless, with Java Enterprise Edition (EE), the part of programming is drastically reduced and many tools and frameworks allow for building professional applications rapidly. Indeed in order to access local or remote data, to extend existing software or build user friendly, and good looking, web interfaces, most of the pieces are already provided. The developer can assemble and finalise the applications with his/her own business classes, focusing on the biological concepts. Here we present an overview of some useful and easy to use tools and frameworks based on Java programming, and provide as an example a simple web interface to browse annotations associated with cancer samples provided by the Cancer Genome Atlas (TCGA).