INFORMATION SYSTEMS SUPPORT ON MOBILE DEVICE PLATFORM - Java SCADA Client/Server model and .NET localization enhancement

2005 ◽  
Keyword(s):  
Information Systems ◽  
Mobile Device ◽  
Client Server

Integrating Legacy Laboratory Information Systems into a Client-Server World: The University of Minnesota Clinical Workstation (CWS) Project

1995 ◽  
Vol 34 (03) ◽  
pp. 289-296 ◽  
Author(s):  
B. H. Sielaff ◽  
D. P. Connelly ◽  
K. E. Willard
Keyword(s):  
Information Systems ◽  
Clinical Decision ◽  
Database Management System ◽  
University Of Minnesota ◽  
Client Server ◽  
Clinical Workstation ◽  
Future Hospital ◽  
The Cost ◽  
The University ◽  
Laboratory Information Systems

Abstract:The development of an innovative clinical decision-support project such as the University of Minnesota’s Clinical Workstation initiative mandates the use of modern client-server network architectures. Preexisting conventional laboratory information systems (LIS) cannot be quickly replaced with client-server equivalents because of the cost and relative unavailability of such systems. Thus, embedding strategies that effectively integrate legacy information systems are needed. Our strategy led to the adoption of a multi-layered connection architecture that provides a data feed from our existing LIS to a new network-based relational database management system. By careful design, we maximize the use of open standards in our layered connection structure to provide data, requisition, or event messaging in several formats. Each layer is optimized to provide needed services to existing hospital clients and is well positioned to support future hospital network clients.

Client-Server Based LBS Architecture

2012 ◽  
pp. 183-198 ◽  
Author(s):  
Mohammad AL Nabhan ◽  
Suleiman Almasri ◽  
Vanja Garaj ◽  
Wamadeva Balachandran ◽  
Ziad Hunaiti
Keyword(s):  
Mobile Device ◽  
Confidence Level ◽  
Single Frequency ◽  
Location Information ◽  
Integrity Monitoring ◽  
Position Information ◽  
Precise Position ◽  
Client Server ◽  
Server Side ◽  
Experimental Trials

This work presents a new efficient positioning module that operates over client-server LBS architectures. The aim of the proposed module is to fulfil the position information requirements for LBS pedestrian applications by ensuring the availability of reliable, highly accurate and precise position solutions based on GPS single frequency (L1) positioning service. The positioning module operates at both LBS architecture sides; the client (mobile device), and the server (positioning server). At the server side, the positioning module is responsible for correcting user’s location information based on WADGPS corrections. In addition, at the mobile side, the positioning module is continually in charge for monitoring the integrity and available of the position solutions as well as managing the communication with the server. The integrity monitoring was based on EGNOS integrity methods. A prototype of the proposed module was developed and used in experimental trials to evaluate the efficiency of the module in terms of the achieved positioning performance. The positioning module was capable of achieving a horizontal accuracy of less than 2 meters with a 95% confidence level with integrity improvement of more than 30% from existing GPS/EGNOS services.

scholarly journals Aplikasi Mobile untuk Analisis Sentimen pada Google Play

2015 ◽  
Vol 9 (1) ◽  
pp. 53
Author(s):  
Lutfi Budi Ilmawan ◽  
Edi Winarko
Keyword(s):  
Support Vector Machine ◽  
Sentiment Analysis ◽  
Mobile Device ◽  
Naive Bayes ◽  
Limited Resource ◽  
Naïve Bayes ◽  
Support Vector ◽  
Svm Classifier ◽  
Client Server ◽  
Google Play

AbstrakGoogle dalam application store-nya, Google Play, saat ini telah menyediakan sekitar 1.200.000 aplikasi mobile. Dengan sejumlah aplikasi tersebut membuat pengguna memiliki banyak pilihan. Selain itu, pengembang aplikasi mengalami kesulitan dalam mencari tahu bagaimana meningkatkan kinerja aplikasinya. Dengan adanya permasalahan tersebut, maka dibutuhkan sebuah aplikasi analisis sentimen yang dapat mengolah sejumlah komentar untuk memperoleh informasi.Sistem yang dibangun memiliki tujuan untuk menentukan polaritas sentimen dari ulasan tekstual aplikasi pada Google Play yang dilakukan dari perangkat mobile. Perangkat mobile memiliki portabilitas yang tinggi dan sebagian dari perangkat tersebut memiliki resource yang terbatas. Hal tersebut diatasi dengan menggunakan arsitektur sistem berbasis client server, di mana server melakukan tugas-tugas yang berat sementara client-nya adalah perangkat mobile yang hanya mengerjakan tugas yang ringan. Dengan solusi tersebut maka Analisis sentimen dapat diaplikasikan pada mobile environment.Adapun metode klasifikasi yang digunakan adalah Naïve Bayes untuk aplikasi yang dikembangkan dan Support Vector Machine Linier sebagai pembanding. Nilai akurasi dari Naïve Bayes classifier dari aplikasi yang dibangun sebesar 83,87% lebih rendah jika dibandingkan dengan nilai akurasi dari SVM Linier classifier sebesar 89,49%. Adapun penggunaan semantic handling untuk mengatasi sinonim kata dapat mengurangi akurasi classifier. Kata kunci— analisis sentimen, google play, klasifikasi, naïve bayes, support vector machine AbstractGoogle's Google Play now providing approximately 1.200.000 mobile applications. With these number of applications, it makes the users have many options. In addition, application developers have difficulties in figuring out how to improve their application performance. Because of these problems, it is necessary to make a sentiment analysis applications that can process review comments to get valuable information.The purpose of this system is determining the polarity of sentiments from applications’s textual reviews on Google Play that can be performed on mobile devices. The mobile device has high portability and the majority of these devices have limited resource. That problem can be solved by using a client server based system architecture, where the server performs training and classification tasks while clients is a mobile device that perform some of sentiment analysis task. With this solution, the sentiment analysis can be applied to the mobile environment.The classification method that used are Naive Bayes for developed application and Linear Support Vector Machine that is used for comparing. Naïve Bayes classifier’s accuracy is 83.87%. The result is lower than the accuracy value of Linear SVM classifier that reach 89.49%. The use of semantic handling can reduce the accuracy of the classifier. Keywords—sentiment analysis, google play, classification, naïve bayes, support vector machine

scholarly journals SISTEM INFORMASI DAN PENGOLAHAN DATA KRIMINAL DI POLRES PASAMAN BARAT DENGAN AKSES VIRTUAL HOST BEBASIS CLIENT SERVER MENGGUNAKAN BAHASA PEMROGRAMAN PHP DAN DATABASE MYSQL

2019 ◽  
Vol 1 (2) ◽  
pp. 7-12
Author(s):  
Larissa Navia Rani ◽  
Hari Marfalino ◽  
Putri Asysyura Yuska
Keyword(s):  
Information System ◽  
Information Systems ◽  
Data Processing ◽  
Programming Language ◽  
Computer Technology ◽  
Rapid Development ◽  
Client Server ◽  
Research Site ◽  
Uml Modeling ◽  
Computer Based

The rapid development of computer technology and information greatly helps work in storing, accessing to data processing becomes faster and easier, this has triggered various fields in utilizing this with the use of computer-based information systems, especially for intelligence units in western security police. The system that will be created uses access to the virtual host-based client server. Modeling used UML modeling, this system is built using PHP programming language and MYSQL database. The results of the study show that the information system designed can process criminal data and is able to be implemented at the research site..

scholarly journals IMPLEMENTASI SISTEM ANDROID UNTUK MENDUKUNG BELAJAR MENGAJAR PADA SMK DEWANTARA 2 CIKARANG

2020 ◽  
Vol 30 (1) ◽  
Author(s):  
Eko Haryadi
Keyword(s):  
Information System ◽  
Information Systems ◽  
Mobile Device ◽  
Educational Institution ◽  
Mobile Systems ◽  
Mobile System ◽  
Academic Field ◽  
Device Application ◽  
Main Factors ◽  
Academic Information

Abstrak--- Dalam suatu lembaga pendidikan atau sekolah sistem informasi akademik  sangat dibutuhkan guna membantu murid serta pendidik untuk mendapatkan berbagai informasi,seperti informasi mengenai data diri siswa, jadwal akademik, dan info lainnya. Jarak dan Efisiensi waktu menjadi faktor utama bagi para siswa dalam mendapatkan informasi, sering kali informasi yang tidak sampai ke pihak siswa serta keterlambatan dalam meraih informasi akademik menjadi suatu keluhan dan seiring berkembangnya tekonologi, informasi harus mudah di capai dengan mengembangkan aplikasi perangkat mobile berbasis android sebagai sarana utama informasi, khususnya dibidang akademik. Aplikasi SMART DEWAN adalah aplikasi yang di peruntukan untuk siswa SMK Dewantara 2 Cikarang di mana digunakan untuk mempermudah absensi, ujian, pembayaran dan informasi bagi siswa SMK Dewantara 2 Cikarang.   Kata Kunci: Sistem Informasi , Sistem Informasi Sekolah, Mobile system , Android.   Abstract--in an educational institution or school an academic information system is needed to help students and educators to obtain various information, such as information about student self-data, academic schedules, and other info. Distance and time efficiency are the main factors for students in getting information, often the information that does not reach the students and the delay in obtaining academic information becomes a complaint and as technology develops, information must be easily achieved by developing an Android-based mobile device application as main means of information, especially in the academic field. The SMART DEWAN application is an application intended for students of SMK Dewantara 2 Cikarang which is used to facilitate attendance, examinations, payment and information for students of SMK Dewantara 2 Cikarang.   Keywords: Information Systems, School Information Systems, Mobile systems, Android

scholarly journals DESIGN AND IMPLEMENTATION OF ASYNCHRONOUS REPORT GENERATING SUBSYSTEMS IN INFORMATION SYSTEMS

2021 ◽  
Vol 7 (5(41)) ◽  
pp. 7-18
Author(s):  
Andrey Vladimirovich Pletnev
Keyword(s):  
Information System ◽  
Information Systems ◽  
Basic Structure ◽  
Client Server ◽  
Web Technologies ◽  
Design And Implementation

This article offers the reader a description of the methodology for the design and implementation of asynchronous reporting subsystems based on templates for client-server Information Systems built using web technologies. The article provides step-by-step recommendations: from organizing the basic structure of report templates to integrating a ready-made report generator into the Information System.

Enterprise Systems at ICL

2017 ◽  
pp. 1-5
Author(s):  
Brandt R. Allen
Keyword(s):  
Information Systems ◽  
Enterprise Systems ◽  
Senior Management ◽  
Web Based ◽  
Client Server ◽  
Large Company

Senior management of a large company learns that its largest and most important information systems project will be eight months late. The developers used the latest technology (web-based, distributed, client-server, networked) and architecture (SOA). Some new parts were up and running but many old, legacy pieces were carrying a heavy part of the daily demands and risks of outages were increasing. There were staffing problems and challenges with conversions, and it appeared that some organizational units were resisting adoption of the new systems.

Scalable Data Dissemination for Inter-Vehicle-Communication: Aggregation versus Peer-to-Peer (Skalierbare Informationsverbreitung für die Fahrzeug-Fahrzeug-Kommunikation: Aggregation versus Peer-to-Peer)

2008 ◽  
Vol 50 (4) ◽  
Author(s):  
Christian Lochert ◽  
Jedrzej Rybicki ◽  
Björn Scheuermann ◽  
Martin Mauve
Keyword(s):  
Information Systems ◽  
Data Dissemination ◽  
Peer To Peer ◽  
Traffic Information ◽  
Large Area ◽  
Direct Communication ◽  
Client Server ◽  
Vehicle Communication ◽  
Advantages And Disadvantages ◽  
Peer To Peer Systems

SummaryThis paper investigates the scalable dissemination of data between vehicles. The application context of this work is traffic information systems where cars are not only consumers but also producers of information. The key challenge in those systems is to ensure scalability in an environment where data is provided and requested by all participating vehicles in a large area. We discuss two fundamentally different approaches to this problem: using direct communication between cars and compressing the data via aggregation versus relying on infrastructure. The latter approach can further be divided into client-server and peer-to-peer systems. We outline all three approaches and highlight their advantages and disadvantages.

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