Implementing Personnel Management System as SaaS

2018 ◽  
Vol 3 (5) ◽  
pp. 1-6
Author(s):  
Musa Yusuf ◽  
Faki A. Silas ◽  
Salim Haruna

Cloud computing is where software applications, data storage and processing capacity are accessed via the internet. This paper involves with analysis of the importance of cloud computing in software application developed as a service. To achieved that, a web based application OPMaSwas developed to provide service that will improvetheaudit readiness and compliance, couple with conformance to records retention policies and automated record management bundled using SaaS model. The web application is meant to manage personnel of any given organization, providing strong functionalities developed in modules such as; personnel information management module, training information management module, leave management module, resume management module, appraisal management module, document management module, reporting module and payroll management module. This applies to a lot of third world countries especially in Nigeria where interest e-commerce is fast growing. The system was evaluated using software performance methods where a reasonable performance was achieved as compared to state of the art software.

Author(s):  
Sablin Yusuf

The objective of this researh is to design a software application for bidding document management as required by PT Energy Management Indonesia (EMI) in order to increase the company performance. The methodology used is fact-finding through direct observation, followed by literature study, and web application development method using waterfall model and rapid prototyping for software development. The result is a software application, web based, which can increase the company performance due to the required bidding document preparation and the responding data are well stored and managed hence can be accessed easily when needed. In summary the application which is well supported by the related database will assist the company quikly and easily in bidding preparation process 


2020 ◽  
Vol 36 (4) ◽  
pp. 589-604
Author(s):  
Seung-Chul Yoon ◽  
Tae Sung Shin ◽  
Kurt Lawrence ◽  
Deana R. Jones

Highlights Digital data collection and management system is developed for the USDA-AMS’s shell-egg grading program. Database system consisting of OLTP, data warehouse and OLAP databases enables online data entry and trend reporting. Data and information management is done through web application servers. Users access the databases via web browsers. Abstract . This paper is concerned with development of web-based online data entry and reporting system, capable of centralized data storage and analytics of egg grading records produced by USDA egg graders. The USDA egg grading records are currently managed in paper form. While there is useful information for data-driven knowledge discovery and decision making, the paper-based egg grading record system has fundamental limitations in effective and timely management of such information. Thus, there has been a demand to electronically and digitally store and manage the egg grading records in a database for data analytics and mining, such that the quality trends of eggs observed at various levels (e.g., nation or state) are readily available to decision makers. In this study, we report the design and implementation of a web-based online data entry and reporting information system (called USDA Egg Grading Information Management System, EGIMS), based on a data warehouse framework. The developed information system consisted of web applications for data entry and reporting, and internal databases for data storage, aggregation, and query processing. The internal databases consisted of online transaction processing (OLTP) database for data entry and retrieval, data warehouse (DW) for centralized data storage and online analytical processing (OLAP) database for multidimensional analytical queries. Thus, the key design goal of the system was to build a system platform that could provide the web-based data entry and reporting capabilities while rapidly updating the OLTP, DW and OLAP databases. The developed system was evaluated by a simulation study with statistically-modeled egg grading records of one hypothetical year. The study found that the EGIMS could handle approximately up to 600 concurrent users, 32 data entries per second and 164 report requests per second, on average. The study demonstrated the feasibility of an enterprise-level data warehouse system for the USDA and a potential to provide data analytics and data mining capabilities such that the queries about historical and current trends can be reported. Once fully implemented and tested in the field, the EGIMS is expected to provide a solution to modernize the egg grading practice of the USDA and produce the useful information for timely decisions and new knowledge discovery. Keywords: Data warehouse, Database, OLTP, OLAP, Egg grading, Information management, Web application, Information system, Data.


2012 ◽  
Vol 2 (2) ◽  
pp. 112-116
Author(s):  
Shikha Bhatia ◽  
Mr. Harshpreet Singh

With the mounting demand of web applications, a number of issues allied to its quality have came in existence. In the meadow of web applications, it is very thorny to develop high quality web applications. A design pattern is a general repeatable solution to a generally stirring problem in software design. It should be noted that design pattern is not a finished product that can be directly transformed into source code. Rather design pattern is a depiction or template that describes how to find solution of a problem that can be used in many different situations. Past research has shown that design patterns greatly improved the execution speed of a software application. Design pattern are classified as creational design patterns, structural design pattern, behavioral design pattern, etc. MVC design pattern is very productive for architecting interactive software systems and web applications. This design pattern is partition-independent, because it is expressed in terms of an interactive application running in a single address space. We will design and analyze an algorithm by using MVC approach to improve the performance of web based application. The objective of our study will be to reduce one of the major object oriented features i.e. coupling between model and view segments of web based application. The implementation for the same will be done in by using .NET framework.


2021 ◽  
pp. 193229682098557
Author(s):  
Alysha M. De Livera ◽  
Jonathan E. Shaw ◽  
Neale Cohen ◽  
Anne Reutens ◽  
Agus Salim

Motivation: Continuous glucose monitoring (CGM) systems are an essential part of novel technology in diabetes management and care. CGM studies have become increasingly popular among researchers, healthcare professionals, and people with diabetes due to the large amount of useful information that can be collected using CGM systems. The analysis of the data from these studies for research purposes, however, remains a challenge due to the characteristics and large volume of the data. Results: Currently, there are no publicly available interactive software applications that can perform statistical analyses and visualization of data from CGM studies. With the rapidly increasing popularity of CGM studies, such an application is becoming necessary for anyone who works with these large CGM datasets, in particular for those with little background in programming or statistics. CGMStatsAnalyser is a publicly available, user-friendly, web-based application, which can be used to interactively visualize, summarize, and statistically analyze voluminous and complex CGM datasets together with the subject characteristics with ease.


2014 ◽  
Vol 513-517 ◽  
pp. 2107-2110 ◽  
Author(s):  
Zhi Jian Diao ◽  
Song Guo

Cloud computing is a novel network-based computing model, in which the cloud infrastructure is constructed in bottom level and provided as the support environment for the applications in upper cloud level. The combination of clouding computing and GIS can improve the performance of GIS, and it can also provide a new prospect of GIS information storage, processing and utilization. By integrating cloud computing and GIS, this paper presented a cloud computing based GIS model based on two features of cloud computing: data storage and transparent custom service. The model contains two layers: service layer and application layer. With this two-layer model, GIS can provide stable and efficient services to end users by optimized network resource allocation of underlying data and services in cloud computing.


2012 ◽  
Vol 4 (2) ◽  
pp. 28-48 ◽  
Author(s):  
George Grispos ◽  
Tim Storer ◽  
William Bradley Glisson

Cloud computing is a rapidly evolving information technology (IT) phenomenon. Rather than procure, deploy, and manage a physical IT infrastructure to host their software applications, organizations are increasingly deploying their infrastructure into remote, virtualized environments, often hosted and managed by third parties. This development has significant implications for digital forensic investigators, equipment vendors, law enforcement, as well as corporate compliance and audit departments, amongst other organizations. Much of digital forensic practice assumes careful control and management of IT assets (particularly data storage) during the conduct of an investigation. This paper summarises the key aspects of cloud computing and analyses how established digital forensic procedures will be invalidated in this new environment, as well as discussing and identifying several new research challenges addressing this changing context.


2015 ◽  
pp. 1432-1449
Author(s):  
M. Sundaresan ◽  
D. Boopathy

Cloud storage systems can be considered to be a network of distributed datacenters that typically use cloud computing technology like virtualization and offer some kind of interface for storing data. To increase the availability of the data, it may be redundantly stored at different locations. Basic cloud storage is generally not designed to be accessed directly by users but rather incorporated into custom software using API. Cloud computing involves other processes besides storage. In this chapter, the authors discuss different viewpoints for cloud computing from the user, legal, security, and service provider perspectives. From the user viewpoint, the stored data creates a mirror of currently available local data. The backup feature allows users to recover any version of a previously stored data. Synchronization is the process of establishing consistency among the stored data. From the legal viewpoint, provisions regulating the user processing and storage of the data must have to be constant from when the data is stored in the cloud. The security viewpoint requires interaction with the Web application, data storage, and transmission. The service provider viewpoint requires the maximum level of cloud storage service at the minimum cost.


2013 ◽  
Vol 303-306 ◽  
pp. 2103-2106
Author(s):  
Cong Cheng

Popularization of the building monitoring system requires huge data storage, information management and computing services. However, the analog signal transmission cannot meet the requirements anymore, therefore cloud computing has to play its role. For this purpose, this article brings up an overall design idea and physical deployment of a cloud-based building monitoring system.


CCIT Journal ◽  
2014 ◽  
Vol 7 (3) ◽  
pp. 452-463
Author(s):  
Padeli Padeli ◽  
Abas Sunarya ◽  
Agus Priyatna

The Agency of Human Rights Research and Development as the unit echelon 1  were under the Ministry of Law and Human Rights carry out research and development of human rights. In his duties often requires a human rights event data quickly and accurately. Submission of information on human rights is too long because of too many islands in Indonesia causing become longer to handling in human rights cases. This is because the process is still manual in documenting cases of human rights with form a team to be lowered to the area. The cost to take the data be very large because the data and the information is scattered in various provinces in Indonesia. On the other hand the data and information of human rights is something that is vulnerable, then the access to such information should be restricted to certain parties only. To overcome this must build  web based system. The method used is the waterfall. Data storage using MySQL as a database server that generates 6 tables. This information systems provide access to users to perform information management  of human rights through the provision and dissemination of human rights information and do the validation and publication of information on human rights that have been granted.


Author(s):  
Yagnik A. Rathod ◽  
Chetan B. Kotwal ◽  
Sohil D. Pandya

Cloud Computing becomes most preferable solution for satisfying the various requirements of organizations and institutions. Different types of clouds like IaaS, PaaS, SaaS makes cloud capable to fulfills the client's different kind of needs like computer processing power, storage spaces, databases, software, application, web based solutions. Cloud computing can also be useful and worthy in providing certain customized solutions to enhance the capability of legacy systems in terms of effectiveness, reliability and optimization by replication of environment up to satisfactory extent. To provide adequate security solutions for cloud is still a challenging task and access control mechanism is one of the domain which demands significant attention on the mission towards securing clouds. In this paper, our work primarily focus on defining ABAC components, mapping functions and access control policies composed by access rules. Amazon Web Services is one of the most prominent cloud providers. Identity and Access Management (IAM) and Amazon S3 are access management and storage facilities of AWS respectively. ABAC based access policies are attached with the user and storage components for authorization.


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