ASIS&T is a multidisciplinary organization with over 4,000 members from such fields as librarianship, computer science, linguistics, management, engineering, law, medicine, chemistry, and education. ASIS&T helps these professionals keep up with the rapid advancements and changes in library and information science, communications, networking, and computer science.
Association for Information Science and Technology (ASIS&T) for University of Tennessee, Knoxville, School of Information Sciences. As Chair of ASIS&T student chapter, I was thrilled to help bring Dr. Chirag Shah to speak about his research on information seeking behavior. The flyer was fun, the intro made me nervous. ;)
Sampling of User Behavior Using Online Social NetworkEditor IJCATR
The popularity of online networks provides an opportunity to study the characteristics of online social network graphs is important, both to improve current systems and to design new application of online social networks. Although personalized search has been proposed for many years and many personalization strategies have been investigated, it is still unclear whether personalization is consistently effective on different queries for different users, and under different search contexts. In this paper, we study performance of information collection in a dynamic social network. By analyzing the results, we reveal that personalized search has significant improvement over common web search.
The mixing time of thee sampling process strongly depends on the characteristics of the graph.
ASIS&T is a multidisciplinary organization with over 4,000 members from such fields as librarianship, computer science, linguistics, management, engineering, law, medicine, chemistry, and education. ASIS&T helps these professionals keep up with the rapid advancements and changes in library and information science, communications, networking, and computer science.
Association for Information Science and Technology (ASIS&T) for University of Tennessee, Knoxville, School of Information Sciences. As Chair of ASIS&T student chapter, I was thrilled to help bring Dr. Chirag Shah to speak about his research on information seeking behavior. The flyer was fun, the intro made me nervous. ;)
Sampling of User Behavior Using Online Social NetworkEditor IJCATR
The popularity of online networks provides an opportunity to study the characteristics of online social network graphs is important, both to improve current systems and to design new application of online social networks. Although personalized search has been proposed for many years and many personalization strategies have been investigated, it is still unclear whether personalization is consistently effective on different queries for different users, and under different search contexts. In this paper, we study performance of information collection in a dynamic social network. By analyzing the results, we reveal that personalized search has significant improvement over common web search.
The mixing time of thee sampling process strongly depends on the characteristics of the graph.
These are the slides that accompanied Bruno's talk on the basics of shaders and GLSL given at Devhub in Toronto on 2016-05-26.
A briefing:
"Have you used Three.js to create basic scenes using the built-in shaders, but without real knowledge of what they were doing? This talk is for you! You'll learn what you need to know to start using shaders to create dynamic and interesting 3D scenes.
We'll use a simple example using Three.js to demonstrate what Vertex and Fragment shaders do, the OpenGL Shading Language and basic texturing and lighting."
Presentation of NvFX: an effect layer that allows encapsulation of GLSL and/or D3D shading language.
The basic concept follows the footprints of NVIDIA CgFX
https://github.com/tlorach/nvFX
Gateway to Oklahoma History Case Study: Structured Data and Metadata Evaluati...Emily Kolvitz
Image Resource Findability on the World Wide Web is still very much a landgrab. For the Semantic Web to become a reality online businesses and individuals have to get their hands dirty and also come facetoface with the realization that search engine giants are increasingly becoming the goto tool for information resource retrieval. “Increasingly, students use Web search engines such as Google to locate information resources rather than seek out library online catalogs or databases of scholarly journal articles” (Lippincott 2013). This puts the search engine giant in a unique position to dictate how the future of search will work on the Web and therefore, your organization’s future presence (or lack thereof) on the Web. Search Engine Optimization (SEO) techniques change frequently and remain much a mystery to many companies. The one variable in the equation of Web findability that remains a staple is good qualitymetadataunderthehoodoftheWebsite. Inthiscasestudy,amethodologyisappliedto the Gateway to Oklahoma History’s Website. This study can be generalized to organizations looking to benchmark their own findability maturity on the Web from an imagecentric viewpoint.
In this Research paper, we present an overview of
research issues in web mining. We discuss mining with respect to
web data referred here as web data mining. In particular, our
focus is on web data mining research in context of our web
warehousing project.We have categorized web data mining into
three areas; web content mining, web structure mining and web
usage mining. We have highlighted and discussed various
research issues involved in each of these web data mining
category. We believe that web data mining will be the topic of
exploratory research in near future.
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
These are the slides that accompanied Bruno's talk on the basics of shaders and GLSL given at Devhub in Toronto on 2016-05-26.
A briefing:
"Have you used Three.js to create basic scenes using the built-in shaders, but without real knowledge of what they were doing? This talk is for you! You'll learn what you need to know to start using shaders to create dynamic and interesting 3D scenes.
We'll use a simple example using Three.js to demonstrate what Vertex and Fragment shaders do, the OpenGL Shading Language and basic texturing and lighting."
Presentation of NvFX: an effect layer that allows encapsulation of GLSL and/or D3D shading language.
The basic concept follows the footprints of NVIDIA CgFX
https://github.com/tlorach/nvFX
Gateway to Oklahoma History Case Study: Structured Data and Metadata Evaluati...Emily Kolvitz
Image Resource Findability on the World Wide Web is still very much a landgrab. For the Semantic Web to become a reality online businesses and individuals have to get their hands dirty and also come facetoface with the realization that search engine giants are increasingly becoming the goto tool for information resource retrieval. “Increasingly, students use Web search engines such as Google to locate information resources rather than seek out library online catalogs or databases of scholarly journal articles” (Lippincott 2013). This puts the search engine giant in a unique position to dictate how the future of search will work on the Web and therefore, your organization’s future presence (or lack thereof) on the Web. Search Engine Optimization (SEO) techniques change frequently and remain much a mystery to many companies. The one variable in the equation of Web findability that remains a staple is good qualitymetadataunderthehoodoftheWebsite. Inthiscasestudy,amethodologyisappliedto the Gateway to Oklahoma History’s Website. This study can be generalized to organizations looking to benchmark their own findability maturity on the Web from an imagecentric viewpoint.
In this Research paper, we present an overview of
research issues in web mining. We discuss mining with respect to
web data referred here as web data mining. In particular, our
focus is on web data mining research in context of our web
warehousing project.We have categorized web data mining into
three areas; web content mining, web structure mining and web
usage mining. We have highlighted and discussed various
research issues involved in each of these web data mining
category. We believe that web data mining will be the topic of
exploratory research in near future.
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
HIGH-LEVEL SEMANTICS OF IMAGES IN WEB DOCUMENTS USING WEIGHTED TAGS AND STREN...IJCSEA Journal
The multimedia information retrieval from World Wide Web is a challenging issue. Describing multimedia object in general, images in particular with low-level features increases the semantic gap. From WWW, information present in a HTML document as textual keywords can be extracted for capturing semantic information with the view to narrow the semantic gap. The high-level textual information of images can be extracted and associated with the textual keywords, which narrow down the search space and improve the precision of retrieval. In this paper, a strength matrix is being proposed, which is based on the frequency of occurrence of keywords and the textual information pertaining to image URLs. The strength of these textual keywords are estimated and used for associating these keywords with the images present in the documents. The high-level semantics of the image is described in the HTML documents in the form of image name, ALT tag, optional description, etc., is used for estimating the strength. In addition, word position and weighting mechanism is also used for further improving the association textual keywords with the image related text. The effectiveness of information retrieval of the proposed technique is found to be comparatively better than many of the recently proposed retrieval techniques. The experimental results of the proposed method endorse the fact that image retrieval using image information and textual keywords is better than those of the text based and the content-based approaches.
Sub-Graph Finding Information over Nebula Networksijceronline
Social and information networks have been extensively studied over years. This paper studies a new query on sub graph search on heterogeneous networks. Given an uncertain network of N objects, where each object is associated with a network to an underlying critical problem of discovering, top-k sub graphs of entities with rare and surprising associations returns k objects such that the expected matching sub graph queries efficiently involves, Compute all matching sub graphs which satisfy "Nebula computing requests" and this query is useful in ranking such results based on the rarity and the interestingness of the associations among nebula requests in the sub graphs. "In evaluating Top k-selection queries, "we compute information nebula using a global structural context similarity, and our similarity measure is independent of connection sub graphs". We need to compute the previous work on the matching problem can be harnessed for expected best for a naive ranking after matching for large graphs. Top k-selection sets and search for the optimal selection set with the large graphs; sub graphs may have enormous number of matches. In this paper, we identify several important properties of top-k selection queries, We propose novel top–K mechanisms to exploit these indexes for answering interesting sub graph queries efficiently.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
Java reinforced similarity integration in image-rich information networks
1. REINFORCED SIMILARITY INTEGRATION IN IMAGE-RICH
INFORMATION NETWORKS
ABSTRACT:
Social multimedia sharing and hosting websites, such as Flickr and Facebook, contain billions of
user-submitted images. Popular Internet commerce websites such as Amazon.com are also
furnished with tremendous amounts of product-related images. In addition, images in such social
networks are also accompanied by annotations, comments, and other information, thus forming
heterogeneous image-rich information networks. In this paper, we introduce the concept of
(heterogeneous) image-rich information network and the problem of how to perform information
retrieval and recommendation in such networks.
We propose a fast algorithm heterogeneous minimum order k-SimRank (HMok-SimRank) to
compute link-based similarity in weighted heterogeneous information networks. Then, we
propose an algorithm Integrated Weighted Similarity Learning (IWSL) to account for both link-
based and content-based similarities by considering the network structure and mutually
reinforcing link similarity and feature weight learning.
Both local and global feature learning methods are designed. Experimental results on Flickr and
Amazon data sets show that our approach is significantly better than traditional methods in terms
of both relevance and speed. A new product search and recommendation system for e-commerce
has been implemented based on our algorithm.
ECWAY TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE
CELL: +91 98949 17187, +91 875487 2111 / 3111 / 4111 / 5111 / 6111
VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com