Wang Z.,Anhui Polytechnic University
Manufacturing Technology | Year: 2017
Modular fixture is conventionally designed less concerning the detailed specifications of machine tool. A little of literatures involve the effectively application to the existing CAD systems in CAFD (computer-aided fixture design). The determination of the validity of modular fixture during NC machining lacks for a practical method. This paper put forward that: Firstly, the feature-model repository of elements of modular fixture can be built in CAD packages; the design of modular fixture in NC machining should be accomplished under the concept of NC Manufacturing System (NMS); the Post-NC verification can be applied to check the performance of modular fixture applied in NC machining. Part 1 of the paper focuses on the feature-model repository of the modular-fixture elements. The other jobs will be introduced in the Part 2. © 2017. Published by Manufacturing Technology.
News Article | November 3, 2016
This crucial hire supports the global expansion strategy of the company as an electronic payments leader IMPESA®, developers of Monibyte®, an innovative SaaS solution for corporate payment methods, and first in a suite of FinTech applications, announces that kHyal has been named Chief Marketing Officer as part of an ongoing commitment to their strategic global expansion plan. Mario Hernández, Impesa’s founder, Chairman and CEO explained that bringing kHyal on as CMO is part of a focused plan to develop and unify the company’s brand voice and market reach, while launching new and existing products across international channels. “We couldn't be happier with kHyal joining our team. kHyal brings amazing experience and an outstanding track record to the company; and in a very short time she has become a key member of our team. When building a global company, you need to bring world class people on board, and kHyal is definitely world class. I am sure she will lead our marketing, communications and public relations strategies beyond our expectations,” Hernandez said. Cliff Wildes, IMPESA’s Chief Strategy Officer, noted, “I have worked with kHyal for over 25 years. First, at Microtech International, Inc. where I was CEO and founder, and she spearheaded marketing initiatives as Creative Director, and later, when we became cofounders and partners at SunStar Interactive. I have never met a more creative and talented individual. Her role as Chief Marketing Officer is essential to the growth and success of the company.” Digitally Driven. kHyal’s experience in digital spans three decades. A pioneering internet professional and award-winning creative, she was a founding member of the Women’s Internet History project and recruited member of the MIT Enterprise Forum of New York City, Inc.’s Marketing Committee. Strategically Poised. Prior to joining IMPESA, kHyal was President at fiZz Agency, and has held the positions of Chief Creative Officer at Metropolitan interactive; Creative Director at Havas Worldwide, NetKey and Microtech International; Vice President of Marketing at blowtorch studios and SunStar interactive; and Controller at Cello, Ltd. Her client roster spans a wide range of brands and corporations including: Pitney Bowes, Sharp Electronics, Xerox, Lexmark, Konica Minolta, ProLabs, MTV, Showtime Networks, GAP, BMW, UPS, Diageo, Datto, Centerplate, LVMH Moët Hennessy Louis Vuitton SE, Deutsche Bank, Black&Decker, UBS Investment Bank, Whitney Museum of American Art and Carnegie Mellon University. With extensive experience working with national and international brands, corporations and agencies in the US, UK, Canada, Argentina, Germany and Costa Rica, kHyal’s background traverses technology, healthcare, education/digital publishing, finance, non-profit and consumer product verticals with an emphasis on software and hardware development. Active in industry associations, kHyal has co-chaired the Fundraising Committee of Volunteer Lawyers for the Arts, Los Angeles; and was a member of the Connecticut Technology Council’s Vice President of Marketing Forum. She has been a juror for the London Interactive Advertising Awards; a judge for Hasbro’s Project Upcycle Design Awards; served as Communications Chair for the American Institute of Graphic Arts (AIGA) Brand Central Chapter, and was on the advisory board of GraphicDesign.com. kHyal majored in Mass Communications at Emerson College in addition to studies at The School of the Museum of Fine Arts, Boston; The Art Institute of Boston; Boston Film and Video Foundation; Loyola Law School; Kodak’s Center for Creative Imaging and FIT. Passionate about education, kHyal is an Adjunct Instructor at Miami Ad School New York where she teaches Product Creation and Innovation; and was Adjunct Professor at Anhui Polytechnic University in Wuhu City, China through the Shintaro Akatsu School of Design at University of Bridgeport where she taught Design Thinking and Methodologies. She has been an invited senior portfolio reviewer at RISD, SVA, FIT, The One Club, ADC Global, Graduate Fashion Week London, Miami Ad School, The Portfolio Center, CADC, AIGA Rhode Island, AIGA Philadelphia, AIGA Connecticut, Pratt Institute, Parsons The New School for Design, Creative Circus, Hartford Art School at University of Hartford, Advertising Women of New York (AWNY), Moore College of Art and Design, Carnegie Mellon University, Newhouse School of Public Communications at Syracuse University, Massachusetts College of Art and Design, Cleveland Institute of Art, Tyler School of Art at Temple University, Kutztown University and Rochester Institute of Technology (RIT). kHyal regularly speaks and facilitates workshops on branding, digital media, design, marketing, social media and business practices. Her engagements include: FleetBoston Financial’s Women Entrepreneurs’ Connection, Advertising Women of New York (AWNY) Annual Career Conference, Fashion Institute of Technology (FIT), Sacred Heart University, Connecticut Art Directors Club (CADC) Student Conference, The Creative Circus–Atlanta, School of Visual Arts (SVA)–New York, The Grove–New Haven, HOW Design Live–Boston Creative Freelancers Conference, Hygienic Academy, Wakefield Boys and Girls Club, AIGA Rhode Island, The Amistad Center for Art & Culture at The Wadsworth Atheneum, AIGA Upstate New York Student Conference and Syracuse University. She was a media partner for the international design conference “A Better World by Design” at Rhode Island School of Design and Brown University; for the inaugural Leaders in Software and Art (LiSA) conference at the Guggenheim Museum in New York; and designed, planned and facilitated a fundraising event for New York Creative Tech Week 2016. A forerunner in the use of technology in her art and design practice in the early eighties, kHyal’s work has been exhibited in the American Visionary Art Museum, Ricco/Maresca Gallery—New York, Pavilion der Volksbühne–Berlin, New Britain Museum of American Art, la Gaîté Lyrique–Paris, Housatonic Art Museum, City Museum–Washington–DC, Intuit–Chicago, EGGO Arte–Buenos Aires, Cooper Union–New York, Art Basel–Switzerland, Art Basel—Miami and galleries worldwide. She is a contributing writer to numerous industry publications on art, design and technology. Founded in Costa Rica in 2013, IMPESA is an innovator of electronic payment solutions, licensed with VISA®and MasterCard®, and compliant with all government banking and card issuer regulations. The company has developed technologies such as card integration with satellite positioning systems (GPS) for large local and multinational distribution companies that use the software to manage their fleets. These technologies are included in IMPESA’s revolutionary flagship SaaS platform, Monibyte. Developed completely in-house by a dedicated team of engineers and programmers, the software has processed millions of transactions with major international corporate clients since launching in 2014, and will expand into US markets in Q4 2016. For banks, Monibyte is an unprecedented addition to their commercial credit card portfolios, and mitigates credit card fraud, potentially saving millions. For companies that are corporate customers of banks that offer Monibyte, it is an invaluable tool that allows 100% control of how every credit or debit card within the organization can be used. From sums of money, to type of currency, days of the week, time of day, geographic location and specific merchant; parameters can be changed instantly from the easy-to-use, web-based interface or smart phone app, without having to contact the bank. Monibyte integrates with most major ERPs, saving time and money on accounting tasks. IMPESA’s Founder, Chairman and CEO, Mario Hernández, is a known expert in the field of electronic payment innovation. He was honored with International Banker’s Best Innovation in Retail and Commercial Banking award in 2015, interviewed at The London Stock Exchange, and a featured speaker and panelist at the Mobile Payments Latin America Summit in 2016. IMPESA has offices in San José, Costa Rica and Orlando, Florida. For more information, visit impesa.net
Wang L.,Anhui Polytechnic University |
Tang D.-B.,Nanjing University of Aeronautics and Astronautics
Expert Systems with Applications | Year: 2011
An improved adaptive genetic algorithm (IAGA) for solving the minimum makespan problem of job-shop scheduling problem (JSP) is presented. Though the traditional genetic algorithm (GA) exhibits implicit parallelism and can retain useful redundant information about what is learned from previous searches by its representation in individuals in the population, yet GA may lose solutions and substructures due to the disruptive effects of genetic operators and is not easy to regulate GA's convergence. The proposed IAGA is inspired from hormone modulation mechanism, and then the adaptive crossover probability and adaptive mutation probability are designed. The proposed IAGA is characterized by simplifying operations, high search precision, overcoming premature phenomenon and slow evolution. The proposed method by employing operation-based encoding is effectively applied to solve a dynamic job-shop scheduling problem (DJSP) and a complicated contrastive experiment of JSP in manufacturing system. Meanwhile, in order to ensure to create a feasible solution, a new method for crossover operation is adopted, named, partheno-genetic operation (PGO). The computational results validate the effectiveness of the proposed IAGA, which can not only find optimal or close-to-optimal solutions but can also obtain both better and more robust results than the existing genetic algorithms reported recently in the literature. By employing IAGA, machines can be used more efficiently, which means that tasks can be allocated appropriately, production efficiency can be improved, and the production cycle can be shortened efficiently. © 2010 Elsevier Ltd. All rights reserved.
Sun T.,Anhui Polytechnic University
International Journal of Applied Electromagnetics and Mechanics | Year: 2013
In order to improve recycling quality of asphalt mixtures based on microwave heating, thermoelectric coupling theory is researched. Heat conduction equation is built according to Fourier's Law. Series model, parallel model and Maxwell model are studied to solve thermal conductivity of asphalt mixtures. Radiation field model of pyramidal horn antenna is set up and mean value of electric field intensity is measured by experiment. Thermoelectric coupling model is built on the basis of dielectric property of asphalt mixtures. Numerical simulation is performed for the model. It is found that influence of asphalt-aggregate ratio on temperature field is not distinct. Average temperature of asphalt mixtures is related to microwave power and increases with microwave power linearly. The asphalt mixtures using diorite as aggregate have a strongest adsorption capability to energy. The result can simulate hot in-place regeneration process, and has important significance to improve regeneration quality of asphalt mixtures. © 2013 IOS Press.
Lu G.-F.,Anhui Polytechnic University |
Zou J.,Anhui Polytechnic University |
Wang Y.,Anhui Polytechnic University
Pattern Recognition | Year: 2012
The complete linear discriminant analysis (CLDA) algorithm has been proven to be an effective tool for face recognition. The CLDA method can make full use of the discriminant information of the training samples. However, the original implementation of CLDA may not suitable for incremental learning problem. In this paper, we first propose a new implementation of CLDA, which is theoretically equivalent to the original implementation of CLDA but is more efficient than the original one. Then, based on our proposed novel implementation of CLDA, we propose the incremental CLDA method which can accurately update the discriminant vectors of CLDA when new samples are inserted into the training set. Experiments on ORL, AR and PIE face databases show the efficiency of our proposed CLDA algorithms over the original implementation of CLDA. © 2012 Elsevier Ltd. All rights reserved.
Liu Y.,Anhui Polytechnic University
Journal of Mechanical Science and Technology | Year: 2014
Gear shaping is an efficient cutting method available for internal helical non-circular gears, but gear hobbing is not. Four methods and models of generating motion were built. Virtual shaping revealed that the method of equal arc-length of gear billet has the highest machining precision. Three methods of primary motion were built and analyzed respectively by using a kinetic simulation, which revealed that the method of keeping a constant velocity has the best dynamic performance. Two methods of additional motion were offered. Virtual shaping revealed that the two methods have the same precision, whether the gear has a right-hand helix or left-hand helix. Finally, two optimal shaping models were provided, and performed shaping experiments, respectively. The experiments showed that the shaping strategies and models are correct and feasible. Tooth-flank detections revealed that every tooth of the gears has the same precision using the optimal shaping models. © 2014 The Korean Society of Mechanical Engineers and Springer-Verlag Berlin Heidelberg.
Lu G.-F.,Anhui Polytechnic University |
Wang Y.,Anhui Polytechnic University
Information Sciences | Year: 2012
The small sample size problem is often encountered in pattern recognition. Several algorithms for null space based linear discriminant analysis (NLDA) have been developed to solve the problem. However, these algorithms for NLDA have high computational cost. In this paper, we simplify the recently proposed algorithm for NLDA in Chu and Thye (2010)  with the assumption that all the training data vectors are linearly independent and propose a new and fast algorithm for NLDA. Our main observation is that two steps of economic QR decomposition with column pivoting can be replaced by one step of economic QR decomposition without column pivoting if the related matrix is of full column rank. The main features of our algorithm for NLDA include: (i) our NLDA algorithm is carried out by only one step of economic QR decomposition and does not compute any singular value decomposition (SVD) when all the training data vectors are linearly independent; (ii) the main cost of our method is the cost of an economic QR decomposition of an m × (n - 1) matrix, here m is the dimension of the training data and n is the number of samples. Our method is a fast one. Experimental studies on ORL, FERET and PIE face databases demonstrate the effectiveness of our new algorithm for NLDA. © 2011 Elsevier Inc. All rights reserved.
Ren Y.-M.,Anhui Polytechnic University |
Cai C.,Nanjing University of Science and Technology |
Yang R.-C.,Anhui Polytechnic University
RSC Advances | Year: 2013
The multicomponent reactions (MCRs) consist of two or more synthetic steps which are carried out without isolation of any intermediate thus reducing time, saving money, energy and raw materials. The development of MCRs in the presence of molecular iodine is an efficient approach that meets with the requirements of sustainable chemistry. The aim of this review is to highlight the synergistic effect of the combined use of MCRs and molecular iodine for the development of new eco-compatible methodologies for organic chemistry. © The Royal Society of Chemistry 2013.
Liu Y.,Anhui Polytechnic University
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science | Year: 2015
As an efficient manufacturing method for gears, shaping technology developed for non-circular helical gears will greatly break through the dilemma of their applications; especially for those gears with part of pitch curves being concave, being not able to be hobbed. Two fundamental linkage-models for external non-circular helical gears were built based on the meshing theory of non-circular gears in this article. According to four linkage methods in plane and two kinds of additional rotation in vertical direction, eight shaping strategies and their practical linkage-models (1)-(8) were developed. Taking a three-order elliptic helical gear as an example, the kinematic characteristics of the eight practical linkage-models were analyzed, which reveals that equal arc-length of gear billet (models (3) and (4)) have the highest accuracy under a given efficiency. The dynamic characteristics of models (3) and (4) were analyzed, which shows that model (4) (equal arc-length of gear billet and additional rotation on shaper cutter) is better in performance, and is an optimal one. The optimal linkage-model was demonstrated to be valid by a virtual shaping, and be able to shape those non-circular helical gears with part of pitch curves being concave. Moreover, the accuracy among every gear tooth is uniform. The theory developed and the results of the virtual shaping were illustrated with a shaping experiment. The train of thought and the results will be useful for any external non-circular helical gears with free pitch curves. © IMechE 2014.
Fei W.,Anhui Polytechnic University
Cybernetics and Systems | Year: 2014
This article first describes a class of uncertain stochastic control systems with Markovian switching, and derives an Itô-Liu formula for Markov-modulated processes. We characterize an optimal control law, that satisfies the generalized Hamilton-Jacobi-Bellman (HJB) equation with Markovian switching. Then, by using the generalized HJB equation, we deduce the optimal consumption and portfolio policies under uncertain stochastic financial markets with Markovian switching. Finally, for constant relative risk-aversion (CRRA) felicity functions, we explicitly obtain the optimal consumption and portfolio policies. Moreover, we make an economic analysis through numerical examples. Copyright © 2014 Taylor & Francis Group, LLC.