ICT
Permanent URI for this collectionhttps://lib.hpu.edu.vn/handle/123456789/20837
Browse
Recent Submissions
Item type: Item , Digital Foundations: Introduction to Media Design with the Adobe Creative Cloud, Revised Edition(Open Oregon Educational Resources, 2017) Burrough, Xtine; Mandiberg, Michael; Burton, Thomas; Keene, MeredithDigital Foundations uses formal exercises of the Bauhaus to teach the Adobe Creative Suite. All students of digital design and production—whether learning in a classroom or on their own—need to understand the basic principles of design in order to implement them using current software. Far too often design is left out of books that teach software for the trade and academic markets. Consequently, the design software training exercise is often a lost opportunity for visual learning. This revised edition updates the original text for use with Adobe Creative Cloud 2017 software.Item type: Item , Beginning Excel(Open Oregon Educational Resources, 2017) Brown, NoreenThis textbook was written for a community college introductory course in spreadsheets utilizing Microsoft Excel. While the figures shown utilize Excel 2016, the textbook was written to be applicable to other versions of Excel as well. The book introduces new users to the basics of spreadsheets and is appropriate for students in any major who have not used Excel before.Item type: Item , Intellectual Property: Law & the Information Society Cases and Materials(CreateSpace Independent Publishing Platform, 2014) Boyle, James; Jenkins, JenniferThis book is an introduction to intellectual property law, the set of private legal rights that allows individuals and corporations to control intangible creations and marks from logos to novels to drug formulae and the exceptions and limitations that define those rights. It focuses on the three graphmain forms of US federal intellectual property trademark, copyright and patent but many of the ideas discussed here apply far beyond those legal areas and far beyond the law of the United States. The book is intended to be a textbook for the basic Intellectual Property class, but because it is an open coursebook, which can be freely edited and customized, it is also suitable for an undergraduate class, or for a business, library studies, communications or other graduate school class. Each chapter contains cases and secondary readings and a set of problems or role-playing exercises involving the material. The problems range from a video of the Napster oral argument to counseling clients about search engines and trademarks, applying the First Amendment to digital rights management and copyright or commenting on the Supreme Courts new rulings on gene patents.Item type: Item , Policy Guidelines for the Development and Promotion of Open Access(United Nations Educational, Scientific and Cultural Organization (UNESCO), 2012) Swan, AlmaUNESCO issued this publication to demystify the concept of Open Access (OA) and to provide concrete steps on putting relevant policies in place. Building capacities in Member States for Open Access is a necessary but not sufficient condition for promotion of the concept. Creating an enabling policy environment for OA is therefore a priority. This publication will serve the needs of OA policy development at the government, institutional and funding agency level. The overall objective of the Policy Guidelines is to promote Open Access in Member States by facilitating understanding of all relevant issues related to Open Access. The guidelines are not prescriptive in nature, but are suggestive to facilitate knowledge-based decision-making to adopt OA policies and strengthen national research systems.Item type: Item , The Digital Public Domain: Foundations for an Open Culture(Cambridge, United Kingdom, 2012) Rosnay, Melanie Dulong De; Martin, Juan Carlos DeDigital technology has made culture more accessible than ever before. Texts, audio, pictures and video can easily be produced, disseminated, used and remixed using devices that are increasingly user-friendly and affordable. However, along with this technological democratization comes a paradoxical flipside: the norms regulating culture's use copyright and related rights have become increasingly restrictive. This book brings together essays by academics, librarians, entrepreneurs, activists and policy makers, who were all part of the EU-funded Communia project. Together the authors argue that the Public Domain that is, the informational works owned by all of us, be that literature, music, the output of scientific research, educational material or public sector information is fundamental to a healthy society. The essays range from more theoretical papers on the history of copyright and the Public Domain, to practical examples and case studies of recent projects that have engaged with the principles of pen Access and Creative Commons licensing.Item type: Item , Economics: From the Dismal Science to the Moral Science: The Moral Economics of Kendall P. Cochran(University of North Texas Libraries, 2015) Cochran, Kendall P.; Dadres, Susan McHargueAdam Smith published The Theory of Moral Sentiments in 1759 and established the ethical foundation for The Wealth of Nations (1776) as well as the important role played by custom and fashion in shaping behaviors and outcomes. Kendall P. Cochran believed in Smith�s emphasis on value-driven analysis and seeking solutions to major problems of the day. Cochran believed that economists moved too far in the direction of analysis free of words like ought and should and devoted his career to establishing that economics is a moral science. A recent study by two Harvard professors, Carmen Reinhart and Kenneth Rogoff, Growth in a Time of Debt (2010), asserted that healthy economic growth and high levels of government debt are incompatible. These conclusions are associated with the austerity movement, which calls for policymakers to reduce government spending in order to reduce the governments debt and improve long-term growth prospects. The austerity movement has been used to justify the sharp decline in public sector employment that has restrained job growth since the recession of 2007. In 2013, a graduate student named Thomas Herndon discovered an error in the calculations of Reinhart and Rogoff, publishing his findings in a paper co-authored by his professors, called "Does High Public Debt Consistently Stifle Economic Growth? A Critique of Reinhart and Rogoff." These findings call the entire austerity movement into question, causing many to reconsider the current obsession with reducing the government debt during a time of economic stagnation. Cochran would have held a celebration to toast Herndon and his professors for their work, not only for the sake of technical accuracy, but also because the policy prescriptions associated with the austerity movement are misguided and harmful to the unemployed and underemployed during times of economic hardship. Cochran�s articles are significant at this time because he is able to argue persuasively that economists have a moral obligation to provide policy recommendations that are consistent with a social agenda of fairness and opportunity. While many agree with Adam Smith that individuals are motivated by self-interest, it does not follow that any action or policy that promotes an individuals self-interest is therefore worthwhile or beneficial from societys perspective. If a person is handsomely rewarded for placing a bomb in the city center, does the potential gain for that individual justify the harm to society? Cochran makes an eloquent case that economists must identify instances in which government policy can and should be used to protect and promote societys well-being.Item type: Item , Saylor MA 304 Topics in Applied Mathematics(2013) Chui, Charles K.Mathematics was coined the queen of sciences by Carl Friedrich Gauss, one of the greatest mathematicians of all time. The name of Gauss is associated with essentially all areas of mathematics. Therefore to him, and most of the great mathematicians before the end of the nineteenth century, there was really no clear boundary between pure mathematics and applied math-ematics. To ensure financial independence, Gauss choice a stable career in astronomy, which is one of the oldest sciences and was perhaps the most popu-lar one during the eighteenth and nineteenth centuries. In his study of celestial motion and orbits and a diversity of disciplines later in his career, including (in chronological order): geodesy, magnetism, dioptrics, and actuarial science, Gauss has developed a vast volume of mathematical methods and tools that are still instrumental to our current study of applied mathematicsItem type: Item , Learning 2.0 for Associations(2010) Cobb, JeffLearning 2.0 is about much more than simply integrating social media into education. It is about maximizing the potential that the new opportunities for learning represent. Learners, of course, will take advantage of the opportunities regardless of anything that associations do they now have the ability to connect and learn in pretty much any way they want. That was already true three years ago it is even truer now. While that fact may seem daunting, it also represents a tremendous opportunity. Figuring out how to get the most out of the vast range of learning opportunities now available online and off is no easy task. It is an area where association educators can clearly lead the way and provide great value to their audience. My hope is that this book will be one useful tool in helping that happen.Item type: Item , Learning 2.0 for Associations(2008) Cobb, Jeff ThomasReport providing a description of how the new technologies known as "Web 2.0" work, and how they may be used for an organization's professional development and other learning initiatives. Includes podcasting, video on demand (VOD), blogs, photo and slide sharing, wikis, social bookmarking, socialItem type: Item , Open Access(2012) Suber, PeterIn this concise introduction, Peter Suber tells us what open access is and is not, how it benefits authors and readers of research, how we pay for it, how it avoids copyright problems, how it has moved from the periphery to the mainstream, and what its future may hold. Distilling a decade of SubersItem type: Item , Big Data on Real-World Applications. Chapter 3: Introduction to Big Data in Education and Its Contribution to the Quality Improvement Processes(INTECH Open Access Publisher, 2016) Vaitsis, Christos; Hervatis, Vasilis; Zary, Nabil; Vaitsis, Christos; Hervatis, Vasilis; Zary, NabilIn this chapter, we introduce the readers to the field of big educational data and how big educational data can be analysed to provide insights into different stakeholders and thereby foster data driven actions concerning quality improvement in education. For the analysis and exploitation of big educational data, we present different techniques and popular applied scientific methods for data analysis and manipulation such as analytics and different analytical approaches such as learning, academic and visual analytics, providing examples of how these techniques and methods could be used. The concept of quality improvement in education is presented in relation to two factors: (a) to improvement science and its impact on different processes in education such as the learning, educational and academic processes and (b) as a result of the practical application and realization of the presented analytical concepts. The context of health professions education is used to exemplify the different concepts.Item type: Item , Big Data on Real-World Applications. Chapter 2 : Real-World Treatment Patterns and Outcomes among Elderly Acute Myeloid Leukemia Patients in the United States(INTECH Open Access Publisher, 2016) Satram- Hoang, SachaOver half of patients diagnosed with acute myeloid leukemia (AML) are 65 years or older. Using the linked SEER-Medicare database, we conducted a retrospective cohort analysis to examine patient characteristics, treatment patterns, and survival among the elderly AML patients in routine clinical practice. Out of 29,857 patients with AML in the database, 8336 were eligible for inclusion in the study. The inclusion criteria included a diagnosis with first primary AML between January 1, 2000 and December 31, 2009, >66 years of age, and continuous enrollment in Medicare Parts A and B in the year before diagnosis. Forty percent (N = 3327) of the cohort received chemotherapy within 3 months after diagnosis. The multivariable overall survival analyses showed a lower risk of death among those receiving intensive and hypomethylating agent therapies compared with no therapy. Among the younger cohort, a significant lower mortality was also noted with receipt of allogeneic hematopoietic stem cell transplantation. Over the past decade, about 60% of the elderly AML patients remain untreated in routine clinical practice. Use of antileukemic therapy was associated with a significant survival benefit and provides further support that age alone should not deter the use of guideline-recommended therapies particularly because of the high disparities in outcomes between treatment receipt and palliative care in this elderly cohort.Item type: Item , Big Data on Real-World Applications. Chapter 1: Novel Rule Base Development from IED-Resident Big Data for Protective Relay Analysis Expert System(INTECH Open Access Publisher, 2016) Othman, Mohammad LutfiMany Expert Systems for intelligent electronic device (IED) performance analyses such as those for protective relays have been developed to ascertain operations, maximize availability, and subsequently minimize misoperation risks. However, manual handling of overwhelming volume of relay resident big data and heavy dependence on the protection experts’ contrasting knowledge and inundating relay manuals have hindered the maintenance of the Expert Systems. Thus, the objective of this chapter is to study the design of an Expert System called Protective Relay Analysis System (PRAY), which is imbedded with a rule base construction module. This module is to provide the facility of intelligently maintaining the knowledge base of PRAY through the prior discovery of relay operations (association) rules from a novel integrated data mining approach of Rough-Set-Genetic-Algorithm-based rule discovery and Rule Quality Measure. The developed PRAY runs its relay analysis by, first, validating whether a protective relay under test operates correctly as expected by way of comparison between hypothesized and actual relay behavior. In the case of relay maloperations or misoperations, it diagnoses presented symptoms by identifying their causes. This study illustrates how, with the prior hybrid-data-mining-based knowledge base maintenance of an Expert System, regular and rigorous analyses of protective relay performances carried out by power utility entities can be conveniently achieved.Item type: Item , Empirical Modeling and Its Applications. Chapter 6: A Comparison between the Presence and Absence of Regulation in the Spanish Electricity Market(INTECH Open Access Publisher, 2016) Moutinho, Victor M. F.; Moreira, António C.; Mota, Jorge H.; Moutinho, Victor M. F.; Moreira, António C.; Mota, Jorge H.There is an important gap in the literature on the promotion of competition in electricity markets in what pertains to the analysis of two different streams: the absence and presence of regulation. Accordingly, the main objective of this study is to analyze the interactions among market power indexes, marginal costs, and bidding strategies in the two mentioned scenarios, for comparative purposes. The methodology used is based on panel cointegration methods. The results point to the significant inclusion of different bidding strategies in the retail market: (i) fuel prices exercise a differential impact on the power plants’ marginal costs, (ii) the marginal costs have a significantly positive effect on quantity sold and on net quantity, and (iii) the market power measures under regulation have a significantly positive long-term impact on the quantity sold and a negative impact on net quantity supplied in wholesale market. Although there is some literature on this issue, the main novelty of this article is the discussion of the regulatory implications that could have been adopted in order to control and mitigate the market power, to encourage new investments in new technologies, and to recover sunk costs with the transition to a competitive market.Item type: Item , Empirical Modeling and Its Applications. Chapter 5: Critical Loss Analyses in Korean Liquor Mergers(INTECH Open Access Publisher, 2016) Seonghoon, Jeon; Seonghoon, JeonThe SSNIP(Small but Significant Nontransitory Increase in Price) test is a well-known conceptual framework of market definition for competition policies in most countries. Critical loss analysis is a practical method that implements the principle of SSNIP test in a quantitative way to determine whether the relevant market for an antitrust case should be enlarged or not. The method and empirical results have been successfully adopted in defining markets relevant to Korean merger cases in soju and beer industries (Moohak-Daesun in 2002 and Hite-Jinro in 2005), providing useful references for the Korean Court and Fair Trade Commission. This paper introduces the actual applications of critical loss analyses in these cases and remarks on several issues brought in the course of applications.Item type: Item , Empirical Modeling and Its Applications. Chapter 3: Least Squares Method and Empirical Modeling: A Case Study in a Mexican Manufacturing Firm(INTECH Open Access Publisher, 2016) Hernández-Molinar, Raúl; Sarmiento-Rebeles, Roberto; Méndez-Barrios, César F.; Hernández-Molinar, Raúl; Sarmiento-Rebeles, Roberto; Méndez-Barrios, César F.Empirical modeling (EM) has been a useful approach for the analysis of different problems across a number of areas/fields of knowledge. As is known, this type of modeling is particularly helpful when parametric models due to a number of reasons cannot be constructed. Based on different methodologies and approaches (e.g., Least Squares Method, LSM), EM allows the analyst to obtain an initial understanding of the relationships that exists among the different variables that belong to a particular system or a process. In some cases, the results from empirical models can be used to make decisions about those variables, with the intent of resolving a given problem. The investigation describes the application of EM to the estimation of shipping costs in a Mexican manufacturing firm. The results show that overall, transportation costs using an empirical model tend to be lower than costs calculated by a previous model. This demonstrates the practical and potential utility that results based on EM can have in a real-life setting.Item type: Item , Empirical Modeling and Its Applications. Chapter 4: Applied Hydrological Modeling with the Use of Geoinformatics: Theory and Practice(INTECH Open Access Publisher, 2016) Chalkias, Christos; Stathopoulos, Nikolaos; Kalogeropoulos, Kleomenis; Chalkias, Christos; Stathopoulos, Nikolaos; Kalogeropoulos, KleomenisWater resource management and catchment analysis are crucial aspects of the twenty-first century in hydrological and environmental sciences. Linked directly with studies and research about climate change effects in global resources (e.g., diminution of rainfall dynamic), as well as continuously growing extreme natural phenomena with catastrophic results (e.g., floods and erosion), hydrological modeling has become a key priority in modern academic research goals. On a national or lower administrative level, the need for coping with natural disasters—affecting mainly human life, property, local economy, infrastructure, etc.—and the need to design management plans and projects for sustainable exploitation of natural resources set hydrological modeling in high demand by government organizations and local authorities. Thus, hazard assessment and risk evaluation modeling have become a strategic aim and an extremely useful tool for stakeholders, decision-makers, and scientific community.Item type: Item , Big Data on Real-World Applications. Chapter 5: PESSCARA: An Example Infrastructure for Big Data Research(INTECH Open Access Publisher, 2016) Korfiatis, Panagiotis; Erickson, Bradley; Korfiatis, Panagiotis; Erickson, BradleyBig data requires a flexible system for data management and curation which has to be intuitive, and it should also be able to execute non-linear analysis pipelines suitable to handle with the nature of big data. This is certainly true for medical images where the amount of data grows exponentially every year and the nature of images rapidly changes with technological advances and rapid genomic advances. In this chapter, we describe a system that provides flexible management for medical images plus a wide array of associated metadata, including clinical data, genomic data, and clinical trial information. The system consists of open-source Content Management System (CMS) that has a highly configurable workflow, has a single interface that can store, manage, enable curation, and retrieve imaging-based studies, and can handle the requirement for data auditing and project management. Furthermore, the system can be extended to interact with all the modern big data analysis technologies.Item type: Item , Big Data on Real-World Applications. Chapter 4: Medical Big Data Analysis in Hospital Information System(INTECH Open Access Publisher, 2016) Li, Jing-Song; Zhang, Yi-Fan; Tian, Yu; Li, Jing-Song; Zhang, Yi-Fan; Tian, YuThe rapidly increasing medical data generated from hospital information system (HIS) signifies the era of Big Data in the healthcare domain. These data hold great value to the workflow management, patient care and treatment, scientific research, and education in the healthcare industry. However, the complex, distributed, and highly interdisciplinary nature of medical data has underscored the limitations of traditional data analysis capabilities of data accessing, storage, processing, analyzing, distributing, and sharing. New and efficient technologies are becoming necessary to obtain the wealth of information and knowledge underlying medical Big Data. This chapter discusses medical Big Data analysis in HIS, including an introduction to the fundamental concepts, related platforms and technologies of medical Big Data processing, and advanced Big Data processing technologies.Item type: Item , Empirical Modeling and Its Applications. Chapter 2: The Empirical Models to Correct Water Column Effects for Optically Shallow Water(INTECH Open Access Publisher, 2016) Yang, Chaoyu; Yang, ChaoyuSeagrass as one of the blue carbon sinks plays an important role in environment, and it can be tracked remotely in the optically shallow water. Usually the signals of seagrass are weak which can be confused with the water column. The chapter will offer a model to simulate the propagation of light. The model can be used to improve the accuracy of seagrass mapping. Based on the in situ data, we found that the appropriate wavebands for seagrass mapping generally lie between 500–630 nm and 680–710 nm as well. In addition, a strong relationship between the reflectance value at 715 nm and LAI was found with a correlation coefficient of 0.99. The chapter provided an improved algorithm to retrieve bottom reflectance and map the bottom types. That would be meaningful for management and preservation of coastal marine resources.