Intelligent Information Management

Journal Information
ISSN / EISSN : 2160-5912 / 2160-5920
Published by: Scientific Research Publishing, Inc. (10.4236)
Total articles ≅ 359
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Latest articles in this journal

Serge Rebouillat
Intelligent Information Management, Volume 14, pp 93-103;

Through a series of duly cited, and quoted (“–”), excerpts, originating mostly from two Technology Trends reports, WIPO (2019), WIPO (2021), an attempt to establish a pseudo dialog is proposed, in order to surface a few questions accessible to a larger public of innovators, who may have an interest in the IP accessibility dimension using Frontier Technologies (such as AI, IoT, 3D…). AT, Assistive Technology, is instrumental as a uniquely faceted example. The illustrations’ section extends the consideration and integration of additional “traits” of the field of interest and related. Intuitive answers are “reachable” and further literature is provided on the relevant matters and connected. The emphasis is on educational, illustrative and demonstrative value.
Man Liu, Lei Yu
Intelligent Information Management, Volume 14, pp 71-79;

Database security protection, database backup and disaster recovery are important tasks for all colleges and universities to ensure the safe and stable operation of information systems. Based on the operating environment of the Oracle production database in China University of Geosciences (Beijing), combined with the practical operation and maintenance experience, this paper provides a design and implementation case of Oracle database security protection system and disaster recovery architecture. The network security protection architecture of the three-layer firewall and fortress machine, the detection and repair of security vulnerabilities, the management of system accounts and permissions, data encryption and database audit constitute the security protection system of the database. Oracle RAC (Real Application Clusters), Oracle DataGuard, redundant backup management and backup recovery constitute the disaster recovery architecture of the database. The case has practical significance for database operation and maintenance management in other colleges and universities.
Mohamed Abd El-Hamid Farag Ahmed Askar, Amal Elsayed Aboutabl, Amr Galal
Intelligent Information Management, Volume 14, pp 1-14;

The two most important challenges facing banks today are attracting new customers and retaining their existing ones. Research shows that 30 percent of banks cited customer loyalty as their biggest challenges. Thus, given that customer loyalty is completely connected to customer delight. The challenging question is: How do banks achieve customer delight by making every interaction a pleasant experience? In our viewpoint “The key is to stop treating customers as segments and personalize all customer interactions and services which can be achieved by using the latest technological advancements in Big Data Analytics, Artificial Intelligence (AI) and Machine Learning”. With the rapidly increasing usage of social media like Facebook, Twitter, LinkedIn, and Instagram, business organizations are now moving towards adapting this technology to drive business advantages. This research will explore the power of social media and how it can be used by banks to provide an edge over their competitors by providing improved products and services to their customers thereby making their experience easy and responsive. It also proposes a framework for social media analytics and its important components to address all the technical and business aspects of the retail and online banking, however, what customer expects from this medium and what banks offer to them needs to be widely studied and understood.
Gladys Nyawira Maina, Thomas Ogoro Ombati, Oboko Obwocha Robert
Intelligent Information Management, Volume 14, pp 105-118;

It is estimated that only 15 percent of Kenyans have made plans for retirement, and many people fall into poverty once they retire. A 2018 survey by the Unclaimed Property Asset register found that insurance companies hold 25 percent of unclaimed funds with 10 percent belonging to pensioners. This was attributed to a lack of effective information flow between insurance companies and the customers and also between various departments in the insurance companies. Further, there were numerous cases of loss of documents and files and certain files were untraceable in the departments. This paper investigates ways in which mobile technology influences dissemination of information for processing pension claims in the insurance industry. An improvement in dissemination of information for processing of pension claims can carry out a key function in increasing percentage of Kenyans making plans for retirement. The study deployed a descriptive study design. The target population in this study was 561 pensioners in Jubilee Insurance and 8 heads of pensions business, finance, legal services, internal audit, operations, information and communication technology, actuary, business development and strategy and business development departments. The sample size of this study was obtained by use of Krejcie and Morgan formula of determining sample size. As a result of the small number of heads of departments, they were not sampled. Through systematic sampling a sample of 288 pensioners was selected from the list of pensioners in Jubilee Insurance. The findings from the study led to a conclusion that mobile application has a positive and significant association with dissemination of information for pension claims processing in Jubilee Insurance. It was further revealed that text messages have a positive and significant influence on dissemination of information. Concerning unstructured supplementary service data (USSD) it was concluded that it has a positive and significant influence on dissemination of information. The study findings also revealed that voice calls have a positive and significant influence on dissemination of information for pension claims processing in Jubilee Insurance.
Antonia Stefani
Intelligent Information Management, Volume 14, pp 25-51;

The diversity of e-commerce Business to Consumer systems and the significant increase in their use during the COVID-19 pandemic as a one of the primary channels of retail commerce, has made all the most important the need to measuring their quality using practical methods. This paper presents a quality evaluation framework for web metrics that are B2C specific. The framework uses three dimensions based on end-user interaction categories, metrics internal specs and quality sub-characteristics as defined by ISO25010. Beginning from the existing large corpus of general-purpose web metrics, e-commerce specific metrics are chosen and categorized. Analysis results are subjected to a data mining analysis to provide association rules between the various dimensions of the framework. Finally, an ontology that corresponds to the framework is developed to answer to complicated questions related to metrics use and to facilitate the production of new, user defined meta-metrics.
Taohong Sun, Jiayin Liu
Intelligent Information Management, Volume 14, pp 15-24;

The explosive growth of all kinds of online information brought by mobile Internet has brought challenges to the information acquisition ability of students in higher education institutions. In order to explore the differences, influencing factors and ways to improve the information acquisition of college students in higher education institutions, 306 questionnaires from students in five higher vocational colleges were collected and analyzed. It was found that there was no significant difference in the information acquisition ability of students by gender. However, the majors of higher vocational college students have a significant impact on their information acquisition ability. It was suggested to taking comprehensive measures to improve the information acquisition ability of students in higher vocational colleges according to their characteristics.
Moath Abu Dayeh, Badie Sartawi, Saeed Salah
Intelligent Information Management, Volume 14, pp 53-70;

The process of ranking scientific publications in dynamic citation networks plays a crucial rule in a variety of applications. Despite the availability of a number of ranking algorithms, most of them use common popularity metrics such as the citation count, h-index, and Impact Factor (IF). These adopted metrics cause a problem of bias in favor of older publications that took enough time to collect as many citations as possible. This paper focuses on solving the problem of bias by proposing a new ranking algorithm based on the PageRank (PR) algorithm; it is one of the main page ranking algorithms being widely used. The developed algorithm considers a newly suggested metric called the Citation Average rate of Change (CAC). Time information such as publication date and the citation occurrence’s time are used along with citation data to calculate the new metric. The proposed ranking algorithm was tested on a dataset of scientific papers in the field of medical physics published in the Dimensions database from years 2005 to 2017. The experimental results have shown that the proposed ranking algorithm outperforms the PageRank algorithm in ranking scientific publications where 26 papers instead of only 14 were ranked among the top 100 papers of this dataset. In addition, there were no radical changes or unreasonable jump in the ranking process, i.e., the correlation rate between the results of the proposed ranking method and the original PageRank algorithm was 92% based on the Spearman correlation coefficient.
Sheldon Liang, Clara Hall, James Pogge, Melanie Van Stry
Intelligent Information Management, Volume 14, pp 133-156;

CARE—Cloud Archive Repository Express has emerged from algorithmic machine learning, and acts like a “fastlane” to bridge between DATA and wiseCIO where DATA stands for digital archiving & trans-analytics, and wiseCIO for web-based intelligent service. CARE incorporates DATA and wiseCIO into a triad for content management and delivery (CMD) to orchestrate Anything as a Service (XaaS) by using mathematical and computational solutions to cloud-based problems. This article presents algorithmic machine learning in CARE for “DNA-like” ingredients with trivial information eliminated through deep learning to support integral content management over DATA and informative delivery on wiseCIO. In particular with algorithmic machine learning, CARE creatively incorporates express tokens for information interchange (eTokin) to promote seamless intercommunications among the CMD triad that enables Anything as a Service and empowers ordinary users to be UNIQ professionals: such as ubiquitous manager on content management and delivery, novel designer on universal interface and user-centric experience, intelligent expert for business intelligence, and quinary liaison with XaaS without explicitly coding required. Furthermore, CMD triad harnesses rapid prototyping for user interface design and propels cohesive assembly from Anything orchestrated as a Service. More importantly, CARE collaboratively as a whole promotes instant publishing over DATA, efficient presentation to end-users via wiseCIO, and diligent intelligence for business, education, and entertainment (iBEE) through highly robotic process automation.
Monique Cardinal
Intelligent Information Management, Volume 14, pp 80-91;

Training in complex thinking is required in fields like computer science and discussing sensitive topics that can easily polarize internet users’ propensities. Multilogicality and Metamemetic reasoning are strongly suggested as an approach to identifying and analyzing factors related to AI Bias and human biases. This approach entails identifying problems and deducting invalid premises, distinguishing them from valid premises or those we are uncertain about. The theme of this paper focuses on four groups of people: curators, developers, businesses, and users (the fourth group being the main focus). This approach offers a new way to apply critical thinking strategies in the context of living in a digital age.
Weiyi Du
Intelligent Information Management, Volume 14, pp 119-132;

The report aims to assess the feasibility of Woolworths’ drone delivery system and propose a well-documented solution to this, enabling Woolworths to make decisions about improving its traditional delivery system. This paper analyzes the examples of UAV delivery in the actual situation, points out the existing problems, and then evaluates the feasibility of UAV delivery in the future. This report firstly analyzes the current situation of the use of UAVs and points out the shortcomings of Woolworths’ current delivery system. To be specific, from Woolworths’ point of view, the current distribution system is unsuitable for remote distribution, and the human cost is too high. It also did not produce the expected customer satisfaction, was heavily influenced by the environment and congestion, and did not meet the goal of “no contact” under coronavirus care. This report then evaluates Woolworths’ proposal for a “Drone Delivery System” in the framework of future state analysis. It describes the overall objective and breaks it down into several measurable goals, including enhancing customer loyalty, increasing sales revenue, improving delivery efficiency, and ensuring safety through contactless delivery. In addition, a risk assessment was conducted to identify potential risks associated with this new delivery system. Identify and assess the possibility, impact and treatment of potential risks through the risk register. Subsequently, this report identifies four gaps between Woolworths’ current and future state delivery systems, including emergency delivery failures high freight costs, unmet on-time delivery rates and high risk of COVID-19 infection, and recommends actions to close the gap. Finally, delivering solutions for Woolworths through use cases from a system, process, and people perspective helps the organization determine how to seize opportunities and implement solutions. The results show that there are still many problems in using UAVs for delivery at the present stage, and many aspects should be improved.
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