This collection features the books and book contributions of the Fairfield University Engineering Faculty.
Patrick Evans, Ryan Avery, Maxwell Malcy, Maverick Ruiz, and Uma Balaji
Uma Balaji (with Patrick Evans, Ryan Avery, Maxwell Malcy, and Maverick Ruiz) is a contributing author, "Multipurpose Solar Charging Station."
Xin Geng, Byeong-Ho Kan, Yujia Zhang, Jun Wu, and Haishuai Wang
Haishuai Wang (with Yujia Zhang, Jun Wu) is a contributing author, "Binary Collaborative Filtering Ensemble."
This two-volume set, LNAI 11012 and 11013, constitutes the thoroughly refereed proceedings of the 15th Pacific Rim Conference on Artificial Intelligence, PRICAI 2018, held in Nanjing, China, in August 2018. The 82 full papers and 58 short papers presented in these volumes were carefully reviewed and selected from 382 submissions. PRICAI covers a wide range of topics such as AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim.
We address the efficiency problem of Collaborative Filtering (CF) in the context of large user and item spaces. A promising solution is to hash users and items with binary codes, and then make recommendation in a Hamming space. However, existing CF hashing methods mainly concentrate on modeling the user-item affinity, yet ignore the user-user and item-item affinities. Such manner results in a large encoding loss and deteriorates the recommendation accuracy subsequently. Towards this end, we propose a Binary Collaborative Filtering Ensemble (BCFE) framework which ensembles three popularly used CF methods to preserve the user-item, user-user and item-item affinities in the Hamming space simultaneously. In order to avoid a time-consuming computation of the user-user and item-item affinity matrices, an anchor approximation solution is employed by BCFE through subspace clustering. Specifically, we devise a Discretization-like Bit-wise Gradient Descend (DBGD) optimization algorithm that incorporates the binary quantization into the learning stage and updates binary codes in a bit-by-bit way. Such a discretization-like algorithm can yield more high-quality binary codes comparing with the popular “two-stage” CF hashing schemes, and is much simpler than the rigorous discrete optimization. Extensive experiments on three real-world datasets show that our BCFE approach significantly outperforms state-of-the-art CF hashing techniques.
J. T. Black, Ronald A. Kohser, and Andres L. Carrano
Andres Carrano is a contributing author, "Measurement and Inspection," Chapter 10 pp. 192-217.
Newly revised for its twelfth edition, DeGarmo's Materials and Processes in Manufacturing, 12th Edition continues to be a market-leading text on manufacturing and manufacturing processes courses for over fifty years. Authors J T. Black and Ron Kohser have continued this book's long and distinguished tradition of exceedingly clear presentation and highly practical approach to materials and processes, presenting mathematical models and analytical equations only when they enhance the basic understanding of the material. Updated to reflect all current practices, standards, and materials, the twelfth edition has new coverage of additive manufacturing, lean engineering, and processes related to ceramics, polymers, and plastics.
Dingzhu Du, Lian Li, En Zhu, Kun He, Zhenyan Ji, Zhi Zhang, Canzhen Zhou, and Haishuai Wang
Haishuai Wang (with Zhenyan Ji, Weina Yao, Huaiyu Pi) is a contributing author, "A Survey of Personalized Image Retrieval and Recommendation."
Book Description: This book constitutes the thoroughly refereed proceedings of the National Conference of Theoretical Computer Science, NCTCS 2017, held in Wuhan, Hubei, China, in October 2017. The 25 full papers presented were carefully reviewed and selected from 84 submissions. They present relevant trends of current research in the area of algorithms and complexity, software theory and method, data science and machine learning theory.
With the advent of web2.0 era, it has been becoming increasingly easy to create and share Internet content. Plenty of pictures are uploaded to the Internet every day. A primary challenge against traditional image retrieval technologies is how to help users quickly discover the images they need. Personalised image retrieval is a new trend in the field of image retrieval. It not only improves the accuracy of the existing retrieval systems, but also better meets the users’ needs. Personalised image retrieval and recommendation (PIRR) can be grouped into two main categories, content-based PIRR and collaborative filtering (CF)-based PIRR. This paper first summarises the development of image retrieval and introduces different image retrieval solutions. Then the key technologies of content-based PIRR are analysed from three aspects, user interest acquisition, user interest representation and personalised implementation. Different techniques are compared and analysed. Regarding CF-based PIRR, the user-based, item-based and model-based CF-based PIRR are introduced and compared. At the end of the paper, we compare and summarise content-based PIRR and CF-based PIRR.
Dingzhu Du, Lian Li, En Zhu, Kun He, Zhenyan Ji, Zhi Zhang, Canzhen Zhou, and Haishuai Wang
Haishuai Wang (with Zhenyan Ji, Zhi Zhang Canzhen Zhou) is a contributing author, " A Fast Interactive Item-Based Collaborative Filtering Algorithm."
This book constitutes the thoroughly refereed proceedings of the National Conference of Theoretical Computer Science, NCTCS 2017, held in Wuhan, Hubei, China, in October 2017. The 25 full papers presented were carefully reviewed and selected from 84 submissions. They present relevant trends of current research in the area of algorithms and complexity, software theory and method, data science and machine learning theory.
A recommender system becomes more and more popular in e-commerce. Usually prediction results cannot satisfy users’ requirements fully, and sometimes it even contains totally irrelevant items. To reflect users’ newest preference and increase the quality of recommendation, a fast interactive item-based collaborative filtering algorithm is proposed. Firstly, we propose an item-based collaborative filtering algorithm with less time and space complexity. Then we introduce interactive iterations to reflect users’ up-to-date preference and increase users’ satisfaction. The experiments show that our fast interactive item-based CF algorithm has better recall and precision than traditional item-based CF algorithm.
Massimiliano Annoni, Irene Fassi, Gloria J. Wiens, Stefan Dimov, Naser Haghbin, Farbod Ahmadzadeh, Jan K. Spelt, and Marcello Papini
Naser Haghbin (with Farbod Ahmadzadeh, Jan. K. Spelt and Marcello Papini) is a contributing author "Micro-machining of channels using a high pressure abrasive slurry jet machine (HASJM)," pp. 459-462.
This volume is a compilation of 3 keynote lectures and 148 papers representing the scientific and technical advances in various aspects of advanced micro technologies with respect to a wide range of materials, and the development of new production platforms for micro systems-based products. It is the first time that the joint 4M/ICOMM Conference is held in Italy, following the previous editions, which took place in 2009 at Karlsruhe Institute of Technology, Germany and 2010 at University of Wisconsin–Madison, USA. This also constitutes the 10th ICOMM – International Conference on Micro Manufacturing and 11th 4M – Multi-Material Micro Manufacture Conference. The Conference is a major step forward in establishing the global community in micromanufacturing that is the aim of both 4M and ICOMM Associations.
Sabri Arik, Tingwen Huang, Weng Kin Lai, Qingshan Liu, Haishuai Wang, Peng Zhang, Jia Wu, and Shirui Pan
Haishuai Wang (with Peng Zhang, Jia Wu, Shirui Pan) is a contributing author, "Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases."
The four volume set LNCS 9489, LNCS 9490, LNCS 9491, and LNCS 9492 constitutes the proceedings of the 22nd International Conference on Neural Information Processing, ICONIP 2015, held in Istanbul, Turkey, in November 2015. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The 4 volumes represent topical sections containing articles on Learning Algorithms and Classification Systems; Artificial Intelligence and Neural Networks: Theory, Design, and Applications; Image and Signal Processing; and Intelligent Social Networks.
Frequent pattern mining from uncertain data has been paid closed attention due to most of the real life databases contain data with uncertainty. Several approaches have been proposed for mining high significance frequent itemsets over uncertain data, however, previous algorithms yield many redundant frequent itemsets and require to set an appropriate user specified threshold which is difficult for users. In this paper, we formally define the problem of top-k minimal redundancy probabilistic frequent pattern mining, which targets to identify top-k patterns with high-significance and low-redundancy simultaneously from uncertain data. We first design uncertain pattern correlation based on Pearson correlation coefficient, which considers pattern uncertainty. Moreover, we present a new algorithm, UTFP, to mine top-k minimal redundancy frequent patterns of length no less than minimum length min_l without setting threshold. We further propose a set of strategies to prune and reduce search space. Experimental results demonstrate that the proposed algorithm achieves good performance in terms of finding top-k frequent patterns with low redundancy on probabilistic data. Our method represents the first research endeavor for probabilistic data based top-k correlated pattern mining.
Frano Barbir, Angelo Basile, T. Nejat Veziroğlu, Shahrokh Etemad, and J. Saint-Just
Shahrokh Etemad (with J. Saint-Just) is a contributing author, "Catalytic Combustion of Hydrogen."
Compendium of Hydrogen Energy: Hydrogen Energy Conversion, Volume Three is the third part of a four volume series and focuses on the methods of converting stored hydrogen into useful energy. The other three volumes focus on hydrogen production and purification; hydrogen storage and transmission; and hydrogen use, safety, and the hydrogen economy, respectively. Many experts believe that, in time, the hydrogen economy will replace the fossil fuel economy as the primary source of energy. Once hydrogen has been produced and stored, it can then be converted via fuel cells or internal combustion engines into useful energy. This volume highlights how different fuel cells and hydrogen-fueled combustion engines and turbines work. The first part of the volume investigates various types of hydrogen fuel cells, including solid oxide, molten carbonate, and proton exchange membrane. The second part looks at hydrogen combustion energy, and the final section explores the use of metal hydrides in hydrogen energy conversion.
CIKM '15 Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
CIKM '15 Conference Committee, Haishuai Wang, Peng Zhang, Ivor Tsang, Ling Chen, and Chengqi Zhang
Haishuai Wang is a contirbuting author (with Peng Zhang, Ivor Tsang, Ling Chen, and Chengqi Zhang), "Defragging Subgraph Features for Graph Classification."
The 24th ACM International Conference on Information and Knowledge Management (CIKM 2015) will be held from Oct 19-23, 2015 in Melbourne, Australia. CIKM is a top-tier ACM conference in the areas of information retrieval, knowledge management and databases. Since 1992, it has successfully brought together leading researchers and developers from the three communities, with the purpose of identifying challenging problems facing the development of advanced knowledge and information systems, and shaping future research directions through the publication of high quality, applied and theoretical research findings. With CIKM 2015, we will continue the tradition of promoting collaboration among multiple areas and are arranging an exciting program for the conference, including workshops, tutorials, industry speakers, keynote speakers, research papers, and posters.
Graph classification is an important tool for analysing structured and semi-structured data, where subgraphs are commonly used as the feature representation. However, the number and size of subgraph features crucially depend on the threshold parameters of frequent subgraph mining algorithms. Any improper setting of the parameters will generate many trivial short-pattern subgraph fragments which dominate the feature space, distort graph classifiers and bury interesting long-pattern subgraphs. In this paper, we propose a new Subgraph Join Feature Selection (SJFS) algorithm. The SJFS algorithm, by forcing graph classifiers to join short-pattern subgraph fragments, can defrag trivial subgraph features and deliver long-pattern interesting subgraphs. Experimental results on both synthetic and real-world social network graph data demonstrate the performance of the proposed method.
Vikas Mittal, Sriharsha Srinivas Sundarram, Y. H. Kim, and W. Li
Sriharsha Srinivas Sundarram is a contributing author, "Preparation and Characterization of Poly(etherimide) Nanocomposites and Nanocomposites Foams," 61-85.
Book Description: Manufacturing of Nanocomposites with Engineering Plastics collates recent research findings on the manufacturing, properties, and applications of nanocomposites with engineering plastics in one comprehensive volume. The book specifically examines topics of engineering plastics, rheology, thermo-mechanical properties, wear, flame retardancy, modeling, filler surface modification, and more. It represents a ready reference for managers and scholars working in the areas of polymer and nanocomposite materials science, both in industry and academia, and provides introductory information for people new to the field.
Mohamed A. Sharaf, Muhammad Aamir Cheema, Jianzhong Qi, Haishuai Wang, Peng Zhang, Ling Chen, and Chengqi Zhang
Haishuai Wang (with Peng Zhang, Ling Chen, Chengqi Zhang) is a contributing author, " SocialAnalysis: A Real-time Query and Mining System from Social Media Data Streams."
This book constitutes the refereed proceedings of the 26th Australasian Database Conference, ADC 2015, held in Melbourne, VIC, Australia, in June 2015. The 24 full papers presented together with 5 demo papers were carefully reviewed and selected from 43 submissions. The Australasian Database Conference is an annual international forum for sharing the latest research advancements and novel applications of database systems, data driven applications and data analytics between researchers and practitioners from around the globe, particularly Australia and New Zealand. The mission of ADC is to share novel research solutions to problems of today’s information society that fulfill the needs of heterogeneous applications and environments and to identify new issues and directions for future research. ADC seeks papers from academia and industry presenting research on all practical and theoretical aspects of advanced database theory and applications, as well as case studies and implementation experiences.
In this paper, we present our recent progress of designing a real-time system, SocialAnalysis, to discover and summarize emergent social events from social media data streams. In social networks era, people always frequently post messages or comments about their activities and opinions. Hence, there exist temporal correlations between the physical world and virtual social networks, which can help us to monitor and track social events, detecting and positioning anomalous events before their outbreakings, so as to provide early warning. The key technologies in the system include: (1) Data denoising methods based on multi-features, which screens out the query-related event data from massive background data. (2) Abnormal events detection methods based on statistical learning, which can detect anomalies by analyzing and mining a series of observations and statistics on the time axis. (3) Geographical position recognition, which is used to recognize regions where abnormal events may happen.
Proceedings of the ASME 2014 Internal Combustion Engine Division Fall Technical Conference. Volume 1: Large Bore Engines; Fuels; Advanced Combustion; Emissions Control Systems
American Society of Mechanical Engineers, Richard Mastanduno, Subir Roychoudhury, and Shahrokh Etemad
Shahrokh Etemad (with Richard Mastanduno and Subir Roychoudhury) is a contributing author, "Onboard Hydrogen Generation for IC Engine Emissions Reduction."
This essential book takes students and instructors through steps undertaken in a start-to-finish engineering project as conceived and presented in the engineering capstone course. The learning experience follows an industry model to prepare students to recognize a need for a product or service and work in a team; identify competition, patent overlap, and necessary resources; generate a project proposal that accounts for business issues; prepare a design, develop and fabricate the product or service; develop a test plan to evaluate the product or service; and prepare and deliver a final report and presentation. Throughout the book, students are asked to examine the business viability of the project. The Engineering Capstone Course: Fundamentals for Students and Instructors emphasizes that a design must meet a set of realistic technical specifications and constraints, including examination of attendant economics, environmental needs, sustainability, manufacturability, health and safety, governmental regulations, industry standards, and social and political constraints.
Elif Kongar, Isaac Macwan, Zihe Zhao, Omar T. Sobh, and Prabir K. Patra
Isaac Macwan (with Zihe Zhao, Omar T. Sobh, and Prabir K. Patra) is a contributing author, "Magnetotaxis for Nanofabrication."
Isaac Macwan, Zihe Zhao, Omar T. Sobh, and Prabir K. Patra
Isaac Macwan (with Zihe Zhao, Omar Sobh and Prabir Patra) is a contributing author, "A Flagellum Based Study of Semiconductor Nanofabrication Through Magnetotaxis," pp. 2777-2780.
Proceedings of ASME Turbo Expo 2013: Power for Land, Sea and Air, Volume 1A: Combustion, Fuels and Emissions
American Society of Mechanical Engineers, Sandeep Alavandi, Shahrokh Etemad, and Benjamin Baird
Shahrokh Etemad (with Sandeep Alavandi and Benjamin Baird) is a contributing author, "Fuel Flexible Rich Catalytic Lean Burn System for Low Btu Fuels."
Proceedings of the American Society of Mechanical Engineers, ASME Internal Combustion Engine Division's 2013 Fall Technical Conference
American Society of Mechanical Engineers, Shahrokh Etemad, and Benjamin Baird
Shahrokh Etemad (with Benjamin Baird) is a contributing author, "Advanced Technology Igniter for High Power Density Engines."
ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Ashley DeVierno, Brian K. Thorn, and Andres L. Carrano
Andres Carrano (with Ashley DeVierno and Brian Thorn) is a contributing author, "Combining Life Cycle Assessment and Linear Regression Analysis to Determine Significant Design Characteristics," pp. 415-424.
Benoit Montreuil, Andres L. Carrano, René de Koster, Kevin R. Gue, M. Ogle, J. Smith, Reyhan Erin, and Moises Sudit
Andres Carrano (with Reyhan Erin and Moises Sudit) is a contributing author, "An MIP Approach to the U-line Balancing Problem With Proportional Worker Throughput," pp. 112-130.
Shrinivas Bhosale, Ashish Aphale, Isaac Macwan, Miad Faezipour, Priya Bhosale, and Prabir K. Patra
Isaac Macwan (with Shrinivas Bhosale, Ashish Aphale, Miad Faezipour, Priya Bhosale, and Prabir Patra) is a contributing author "Computer Assisted Detection of Liver Neoplasm (CADLN)," pp.1510-1513.
I. Candel Torres, L. Gómez Chova, A. López Martínez, Andres L. Carrano, Brian K. Thorn, and Sarah Brownell
Andres Carrano (with Brian Thorn and Sarah Brownell) is a contributing author, "Development and Delivery of “Engineering for the Developing World”, a Course Supporting the Masters Programs in Sustainable Engineering at RIT," pp.6832-6840.
DMG Events, Curran Associates, J. G. Weissman, Benjamin Baird, Shahrokh Etemad, W. Alavandi, and William C. Pfefferle
Shahrokh Etemad (with J.G. Weissman, B. Baird, S. Alavandi, and W. C. Pfefferle) is a contributing author, " “Novel Down-Hole Combustor for Steam Generation”.
L. Gómez Chova, D. Martí Belenguer, I. Candel Torres, Andres L. Carrano, John Kaemmerlen, Jacqueline Mozrall, Brian K. Thorn, and Sarah Brownell
Andres Carrano (with John Kaemmerlen and Jacqueline Mozrall) is a contributing author, "Systematic Development of an Experiential-Based Learning Environment in Engineering," pp.1532-1539.
Andres Carrano (with Brian Thorn and Sarah Brownell) is a contributing author, "Integration of Sustainable Engineering into the Industrial Engineering Curriculum," pp.2502-2508.
Shahram Latifi, Hassan Bajwa, Isaac Macwan, Vignesh Veerapandian, and Xinghao Chen
Isaac Macwan (with Hassan Bajwa, Vignesh Veerapandian, and Xinghao Chen) is a contributing author, "VHDL Implementation of High-Performance and Dynamically Configures Multi-port Cache Memory," pp. 1212-1216.
Ali Mufit Bahadir, Gheorghe Duca, Bruce W. Berdanier, Mufeed I. Batarseh, Anwar G. Jiries, and Anf H. Ziadet
Bruce W. Berdanier (with Mufeed I. Batarseh, Anwar G. Jiries, and Anf H. Ziadat) is a contributing author, "Lichens (Punctilia rudecta) as Bioindicators for Air Pollution in Ohio, USA", pp. 149-156.
Book description: Proceedings of the NATO Advanced Research Workshop on The Role of Ecological Chemistry in Pollution Research and Sustainable Development, Chisinau, Moldova, 8-11 October 2008. Series: NATO Science for Peace and Security Series C: Environmental Security
The papers presented in this book demonstrate clearly the role of the processes defining the natural environment’s composition, structure and chemical properties adequate to the biologic value of habitation, the essential impacts of human activity and other related factors on all the environmental compartments, including water, soil and air. The research in ecological chemistry contribute to elimination of these negative impacts, and promote the rational using of natural resources, their qualified management, broader application of environmentally-friendly production technologies, thus leading to pollution reduction and sustainable development.