scholarly journals A Framework to Evaluate Big Data Fabric Tools

2021 ◽  
pp. 180-191
Author(s):  
Ângela Alpoim ◽  
João Lopes ◽  
Tiago André Saraiva Guimarães ◽  
Carlos Filipe Portela ◽  
Manuel Filipe Santos
Keyword(s):  
Big Data ◽  
Data Integration ◽  
Information Needs ◽  
Key Factors ◽  
Large Dataset ◽  
New Methods ◽  
Different Types ◽  
Major Data

A huge growth in data and information needs has led organizations to search for the most appropriate data integration tools for different types of business. The management of a large dataset requires the exploitation of appropriate resources, new methods, as well as the possession of powerful technologies. That led the surge of numerous ideas, technologies, and tools offered by different suppliers. For this reason, it is important to understand the key factors that determine the need to invest in a big data project and then categorize these technologies to simplify the choice that best fits the context of their problem. The objective of this study is to create a model that will serve as a basis for evaluating the different alternatives and solutions capable of overcoming the major challenges of data integration. Finally, a brief analysis of three major data fabric solutions available on the market is also carried out, including Talend Data Fabric, IBM Infosphere, and Informatica Platform.

scholarly journals Information needs of financial market professionals in the big data and social media era. The empirical evidence from Poland

e-Finanse ◽  
2017 ◽  
Vol 13 (4) ◽  
pp. 1-13
Author(s):  
Andrzej Cwynar ◽  
Wiktor Cwynar ◽  
Robert Pater ◽  
Piotr Kaźmierkiewicz
Keyword(s):  
Social Media ◽  
Big Data ◽  
Financial Market ◽  
Regression Models ◽  
Information Needs ◽  
Large Degree ◽  
Key Factors ◽  
Logit Regression ◽  
Degree Of Satisfaction ◽  
Survey Results

AbstractTo meet general objectives of the article, i.e. to check the extent to which the information needs of financial market institutions are satisfied, and to learn about whether there is a transition in this realm triggered by the advent of social media and big data, we surveyed a sample of 415 financial market professionals working in Poland. We also used logit regression models, through which we processed the survey results, to identify which factors are responsible for meeting the needs. We showed that although the information needs of financial market professionals are met to a large degree, still some potential for improvement remains in this regard. We found also that respondent-specific traits are insignificant in explaining the degree of satisfaction with data and information that is used by financial market professionals. Out of firm-specific characteristic and, the value of assets under the institution’s management turned out to be the key factors explaining the distribution of responses concerning satisfaction.

A Strategy for Design of Marine Pollution Monitoring Studies

1986 ◽  
Vol 18 (4-5) ◽  
pp. 15-26 ◽  
Author(s):  
D. A. Segar ◽  
E. Stamman
Keyword(s):  
Information Needs ◽  
Marine Pollution ◽  
Monitoring Program ◽  
Pollution Monitoring ◽  
Systematic Evaluation ◽  
Management Information ◽  
Different Types ◽  
Management Context ◽  
Definition Of ◽  
Scientific Testing

Most historical marine pollution monitoring has proven useless in a management context. A strategy for development of effective marine pollution monitoring programs is outlined. This strategy is based on the following steps: 1) systematic evaluation of the management information needs, 2) identification of the hypothetical impacts associated with those management concerns, and 3) investigation of the feasibility of monitoring those effects such that the existence, or absence, of a specified level of effects can be established in a statistically-valid manner. There are two fundamentally different types of monitoring program: site-specific and regional. These two types of program differ markedly in scope and approach when designed through application of this strategy. The strategy requires development of null hypotheses which address management concerns and which are amenable to scientific testing. In order for the program to be successful, the null hypotheses selected for inclusion in a marine pollution monitoring program must address levels of effect which are predefined to be environmentally significant. The definition of environmentally significant effect levels is a difficult process which must be primarily the responsibility of the managerial community.

scholarly journals Hyperchaotic Image Encryption Based on Multiple Bit Permutation and Diffusion

Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 510
Author(s):  
Taiyong Li ◽  
Duzhong Zhang
Keyword(s):  
Big Data ◽  
Lyapunov Exponents ◽  
Image Encryption ◽  
Hyperchaotic System ◽  
Encryption Scheme ◽  
Image Content ◽  
Image Security ◽  
Level Data ◽  
Different Types ◽  
And Diffusion

Image security is a hot topic in the era of Internet and big data. Hyperchaotic image encryption, which can effectively prevent unauthorized users from accessing image content, has become more and more popular in the community of image security. In general, such approaches conduct encryption on pixel-level, bit-level, DNA-level data or their combinations, lacking diversity of processed data levels and limiting security. This paper proposes a novel hyperchaotic image encryption scheme via multiple bit permutation and diffusion, namely MBPD, to cope with this issue. Specifically, a four-dimensional hyperchaotic system with three positive Lyapunov exponents is firstly proposed. Second, a hyperchaotic sequence is generated from the proposed hyperchaotic system for consequent encryption operations. Third, multiple bit permutation and diffusion (permutation and/or diffusion can be conducted with 1–8 or more bits) determined by the hyperchaotic sequence is designed. Finally, the proposed MBPD is applied to image encryption. We conduct extensive experiments on a couple of public test images to validate the proposed MBPD. The results verify that the MBPD can effectively resist different types of attacks and has better performance than the compared popular encryption methods.

scholarly journals Monitoring Consumer Purchasing Behavior for Wood Furniture before and during the COVID-19 Pandemic

Forests ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 873
Author(s):  
Andreja Pirc Barčić ◽  
Manja Kitek Kuzman ◽  
Tihana Vergot ◽  
Petra Grošelj
Keyword(s):  
Circular Economy ◽  
Information Needs ◽  
Economic Factors ◽  
Purchasing Behavior ◽  
Future Design ◽  
Furniture Manufacturing ◽  
Different Types ◽  
Information Research ◽  
Wood Furniture ◽  
Buying Behaviors

Monitoring consumer buying behaviors in terms of their preferences and attitudes has been known as an important driver for the success and development of various industries, including a wood furniture manufacturing. The aim of this study was to identify and compare the purchasing behaviors of furniture consumers in the period before and during the COVID-19 pandemic. Two surveys were conducted in Croatia, the first in April and May 2020 with the assumption that consumer purchasing behaviors will change during the COVID-19 pandemic in the following year and the second one during March 2021. Differences regarding consumer purchasing behaviors and preferences for wood furniture between respondents regarding demographic and economic factors before and during the pandemic were found. The coronavirus pandemic is teaching us all hard lessons about resilience and adaptability, and new opportunities and solutions are essential. Nowadays, it is becoming increasingly important to produce information. Research offers insights into future design and building communication to better meet the information needs of different types of consumers and to more broadly increase the acceptance and appeal of wood furniture in society in the spirit of sustainable and bio-based circular economy.

scholarly journals The Nanosystems Involved in Treating Lung Cancer

Life ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 682
Author(s):  
Andreea Crintea ◽  
Alina Gabriela Dutu ◽  
Gabriel Samasca ◽  
Ioan Alexandru Florian ◽  
Iulia Lupan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Side Effects ◽  
Chromosomal Rearrangements ◽  
Sirna Delivery ◽  
Delivery Systems ◽  
Inorganic Nanoparticles ◽  
New Methods ◽  
Different Types ◽  
Or Gene ◽  
The Many

Even though there are various types of cancer, this pathology as a whole is considered the principal cause of death worldwide. Lung cancer is known as a heterogeneous condition, and it is apparent that genome modification presents a significant role in the occurrence of this disorder. There are conventional procedures that can be utilized against diverse cancer types, such as chemotherapy or radiotherapy, but they are hampered by the numerous side effects. Owing to the many adverse events observed in these therapies, it is imperative to continuously develop new and improved strategies for managing individuals with cancer. Nanomedicine plays an important role in establishing new methods for detecting chromosomal rearrangements and mutations for targeted chemotherapeutics or the local delivery of drugs via different types of nano-particle carriers to the lungs or other organs or areas of interest. Because of the complex signaling pathways involved in developing different types of cancer, the need to discover new methods for prevention and detection is crucial in producing gene delivery materials that exhibit the desired roles. Scientists have confirmed that nanotechnology-based procedures are more effective than conventional chemotherapy or radiotherapy, with minor side effects. Several nanoparticles, nanomaterials, and nanosystems have been studied, including liposomes, dendrimers, polymers, micelles, inorganic nanoparticles, such as gold nanoparticles or carbon nanotubes, and even siRNA delivery systems. The cytotoxicity of such nanosystems is a debatable concern, and nanotechnology-based delivery systems must be improved to increase the bioavailability, biocompatibility, and safety profiles, since these nanosystems boast a remarkable potential in many biomedical applications, including anti-tumor activity or gene therapy. In this review, the nanosystems involved in treating lung cancer and its associated challenges are discussed.

Evaluation Model for Big Data Integration Tools

2019 ◽  
pp. 601-610 ◽  
Author(s):  
Ângela Alpoim ◽  
Tiago Guimarães ◽  
Filipe Portela ◽  
Manuel Filipe Santos
Keyword(s):  
Big Data ◽  
Data Integration ◽  
Evaluation Model

scholarly journals A New Design of Sydney’s Frontport Check-in System

2021 ◽  
Vol 13 (7) ◽  
pp. 3850
Author(s):  
Ting Liu ◽  
Gabriel Lodewijks
Keyword(s):  
Swot Analysis ◽  
Control Measures ◽  
Key Factors ◽  
Scheme Design ◽  
Different Types ◽  
Baggage Handling ◽  
Loading And Unloading ◽  
The Cost ◽  
Main Engine ◽  
Process Method

This paper proposed a scheme design for Sydney’s frontport check-in system, which completes check-in and baggage drop-off at Sydney’s Circular Quay, and transports the baggage to Sydney Kingsford Smith Airport by waterway, and provided a strengths, weaknesses, opportunities and threats (SWOT) analysis of Sydney’s frontport check-in system. Using the process method of quality management, the frontport check-in process was divided into three sub-processes: baggage consignment, baggage packing and transportation, and airport baggage handling. The eight key elements of each sub-process such as input, output, resources, and methods, etc. were discussed, the key factors influencing the cost of baggage transportation were analyzed, and the cost control measures such as adopting economic speed, reducing fuel consumption of the main engine, improving the ship loading rate, and raising loading and unloading efficiency were proposed. At the same time, two different types of baggage transportation ships and other parameters that affect the cost such as the number of berths, ships, lifting machineries, and the yard area were analyzed and calculated through calculation cases. This scheme is a beneficial addition to the existing in-town check-in system.

Big Data and Big Data Analytics for Improved Healthcare Service and Management

2020 ◽  
Vol 8 (1) ◽  
pp. 13-51
Author(s):  
Pijush Kanti Dutta Pramanik ◽  
Saurabh Pal ◽  
Moutan Mukhopadhyay
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Future Market ◽  
Data Generation ◽  
Related Data ◽  
Healthcare Data ◽  
Different Types

Like other fields, the healthcare sector has also been greatly impacted by big data. A huge volume of healthcare data and other related data are being continually generated from diverse sources. Tapping and analysing these data, suitably, would open up new avenues and opportunities for healthcare services. In view of that, this paper aims to present a systematic overview of big data and big data analytics, applicable to modern-day healthcare. Acknowledging the massive upsurge in healthcare data generation, various ‘V's, specific to healthcare big data, are identified. Different types of data analytics, applicable to healthcare, are discussed. Along with presenting the technological backbone of healthcare big data and analytics, the advantages and challenges of healthcare big data are meticulously explained. A brief report on the present and future market of healthcare big data and analytics is also presented. Besides, several applications and use cases are discussed with sufficient details.

The combination of different open innovations: a longitudinal case study

2019 ◽  
Vol 13 (2) ◽  
pp. 342-362
Author(s):  
Xiaodong Yuan ◽  
Xiaotao Li
Keyword(s):  
New Product Development ◽  
Open Innovation ◽  
Point Of View ◽  
Longitudinal Case Study ◽  
Key Factors ◽  
Content Type ◽  
Strategic Direction ◽  
Different Types ◽  
Innovation Capacity

Purpose The purpose of this paper is to explore how an organization can combine different types of open innovations and what are the key factors that may influence the combination of different open innovations. Design/methodology/approach The basic methodology of this paper is the longitudinal inductive analysis within the conceptual framework of the open innovation proposed by Dahlander and Gann (2010). In this case study of Xiaomi Tech Inc., the open innovation combination is investigated through examining 25 new products created between August 2010 and December 2016 in terms of four general types: acquiring, sourcing, selling and revealing open innovation. Findings In practice, the combination of different types of open innovations can be realized. A firm may combine different open innovations at three levels: a single product level, a related product cluster level and a company level. In addition, different open innovations can be combined in diverse modes. The purpose of combining different types of open innovations is to overcome the disadvantages of each type and to exploit the advantages of all different types. Many factors may affect a firm’s option of how to combine open innovations. At different development stages, a firm may make and implement corresponding strategic direction based on its innovation capacity and internal resource. For a given strategy, the firm needs to create profits and manage intellectual property in the implementation of open innovations. These factors are interacted each other, rather than isolated. Originality/value The findings of this paper are helpful for better understanding how and why an organization can combine different types of open innovations. From a managerial point of view, an organization may combine different types of open innovations to leverage advantages and avoid disadvantages of each certain type of open innovation. An appropriate combination of different open innovations can effectively improve new product development.

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