ppxscal/embedding_network huggingface dataset:
Wafer-level BCB bonding using a thermal press for microfluidics
Authors: Xiaodong Zhou, Selven Virasawmy, Chenggen Quan
Venue: Microsystem Technologies (2009)

Benzocyclobutene (BCB) is a thermosetting polymer that can form microfluidics and bond top and bottom layers of the microfluidics at the same time, and yields high repeatability and high bonding strength. This paper reports using photosensitive BCB to fabricate microfluidics and to bond with a thermal press for 4&#x00a0;in. wafers. By optimizing the parameters for pattern development and using a three-stage temperature and pressure increment BCB bonding, we realize the whole wafer glass&#x2013;Si or glass&#x2013;glass bonding in thermal press without any crack. The wafer-level bonding shows a bonding percentage above 70%, a tensile stress above 4.94&#x00a0;MPa, and a bonding repeatability over 95%. Furthermore, the bonding is compatible with thick electrode integration, that microfluidics with 380&#x00a0;nm thick electrodes underneath can be well-bonded. Our bonding method much reduces the cost compared with bonding BCB in a wafer bonding machine.
The Minimal Manhattan Network Problem in Three Dimensions
Authors: Xavier Muñoz, Sebastian Seibert, Walter Unger
Venue: Proceedings of the 3rd International Workshop on Algorithms and Computation (2009)

For the Minimal Manhattan Network Problem in three dimensions (MMN3D), one is given a set of points in space, and an admissible solution is an axis-parallel network that connects every pair of points by a shortest path under L 1-norm (Manhattan metric). The goal is to minimize the overall length of the network. Here, we show that MMN3D is $\cal NP$- and $\cal APX$-hard, with a lower bound on the approximability of 1&thinsp;+&thinsp;2&middot;10&minus;&thinsp;5. This lower bound applies to MMN2-3D already, a sub-problem in between the two and three dimensional case. For MMN2-3D, we also develop a 3-approximation algorithm which is the first algorithm for the Minimal Manhattan Network Problem in three dimensions at all.
DCMF: DC & microformats, a good marriage
Authors: Eva Méndez, Leandro M. López, Arnau Siches, Alejandro G. Bravo
Venue: Proceedings of the 2008 International Conference on Dublin Core and Metadata Applications (2008)

This report introduces the Dublin Core Microformats (DCMF) project, a new way to use the DC element set within X/HTML. The DC microformats encode explicit semantic expressions in an X/HTML webpage, by using a specific list of terms for values of the attributes "rev" and "rel" for <a> and <link> elements, and "class" and "id" of other elements. Microformats can be easily processed by user agents and software, enabling a high level of interoperability. These characteristics are crucial for the growing number of social applications allowing users to participate in the Web 2.0 environment as information creators and consumers. This report reviews the origins of microformats; illustrates the coding of DC microformats using the Dublin Core Metadata Gen tool, and a Firefox extension for extraction and visualization; and discusses the benefits of creating Web services utilizing DC microformats.
Quo Vadis Answer Set Programming?
Authors: V. W. Marek
Venue: Proceedings of the 24th International Conference on Logic Programming (2008)

We discuss the development, current state and the future of Answer Set Programming, making predictions that are not necessarily accurate.
Partitioning study of complex system
Authors: He Yue, Lin Chun-Mei
Venue: WSEAS TRANSACTIONS on SYSTEMS (2008)

Whether the design of knowledge base or the modeling of complex systems, when systems are characterized as complex systems with high dimension and a variety of variables and factors, to reduce complexity are necessary. Fuzzy cognitive maps (FCM) are a soft computing method for simulation and analysis of complex system, which combines the fuzzy logic with theories of neural networks. It is flexible in system design, model and control, the comprehensive ope ration and the abstractive representation of behavior for complex systems. When the complexity of the system, the application and maintenance of FCM become more difficult, in particular, the inference is difficult to achieve and not even gets the results. Therefore we present to partition the complex fuzzy cognitive map into smaller chunks based on genetic algorithm in this paper. We construct partitioning rules and criticize rules. Finally, an illustrative example is provided, and its results suggest that the method is capable of partitioning fuzzy cognitive map.
The summer academy for advancing deaf and hard of hearing in computing
Authors: Anna C. Cavender, Richard E. Ladner, Robert I. Roth
Venue: Proceedings of the 40th ACM technical symposium on Computer science education (2009)

Deaf and hard of hearing students are an underrepresented group in computing and face extra challenges in university-level computing courses. This paper describes a 9-week Summer Academy for Advancing Deaf and Hard of Hearing in Computing that jump-starts the academic careers of deaf and hard of hearing students and strengthens their interest in computing. Students take introductory computing and animation in a fun, supportive, accessible environment. We report on some of the problems students face and lessons we have learned about helping them overcome those problems. Through the academy, they meet other successful deaf and hard of hearing technology professionals, tour top computing companies, and display their own work to the local deaf and hard of hearing community. Students gain leadership, independent learning skills, and complete the program better prepared for a college major in computing.
Implementation structure of 3-D FIR digital filters based on the transformation method
Authors: Guergana Mollova
Venue: Proceedings of the 8th conference on Signal processing, computational geometry and artificial vision (2008)

In this paper, we show the application of Chebyshev structure proposed by McClellan and Chan for design of three-dimensional (3-D) filters based on the McClellan transformation. We consider the implementation of 3-D FIR cone-shaped filters designed recently by Mollova and Mecklenbräuker. The Chebyshev structure is originally developed for 2-D digital filters designed by transformation method, but it is also applicable for 3-D filters design. By using analytical expressions for transformation function and 3-D direct convolution, an effective realization of the transformation subfilter is proposed.
Ubiquitous personal assistive system for neuropathy
Authors: Foad Dabiri, Alireza Vahdatpour, Hyduke Noshadi, Hagop Hagopian, Majid Sarrafzadeh
Venue: Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments (2008)

The improvement in processor performance through continuous breakthroughs in transistor technology has resulted in the proliferation of lightweight embedded systems. Advances in wireless technology and embedded systems have enabled remote healthcare and telemedicine. Continuous and real-time monitoring can discretely analyze how a patient's lifestyle affects his/her physiological conditions and if additional symptoms occur under various stimuli. Diabetes is one of most difficult challenges facing the health-care industry today. One of the primary afflictions of diabetic patients is peripheral neuropathy (loss of sensation in the foot). As a direct result of this condition, the likelihood of ulcer increases which in many cases leads to to amputation. We have developed a wireless electronic orthotics composed of lightweight embedded systems and non-invasive sensors which can be used by diabetic patients suffering from peripheral neuropathy. Our proposed system monitors feet motion and pressure distribution beneath the feet in real-time and classifies the state of the patient. The proposed system detects the conditions that could potentially cause a foot ulcer. This system enables a continuous feedback mechanism for instance in case of an undesired behavior or condition a preemptive message wirelessly to the patient's cell phone/PDA/PC and over the WEB to the patient's care-giver. This system can potentially reduce the amputation rates resulting from neuropathy by a huge factor.
Automatic design of a control interface for a synthetic face
Authors: Nicolas Stoiber, Renaud Seguier, Gaspard Breton
Venue: Proceedings of the 13th international conference on Intelligent user interfaces (2009)

Getting synthetic faces to display natural facial expressions is essential to enhance the interaction between human users and virtual characters. Yet traditional facial control techniques provide precise but complex sets of control parameters, which are not adapted for non-expert users. In this article, we present a system that generates a simple, 2-Dimensional interface that offers an efficient control over the facial expressions of any synthetic character. The interface generation process relies on the analysis of the deformation of a real human face. The principal geometrical and textural variation patterns of the real face are detected and automatically reorganized onto a low-dimensional space. This control space can then be easily adapted to pilot the deformations of synthetic faces. The resulting virtual character control interface makes it easy to produce varied emotional facial expressions, both extreme and subtle. In addition, the continuous nature of the interface allows the production of coherent temporal sequences of facial animation.
Finding new Core Promoter Elements using backward-looking strategies
Authors: Yin-Fu Huang, Yi-Chao Jhan, Sing-Wu Liou
Venue: International Journal of Data Mining and Bioinformatics (2009)

Core Promoter Elements (CPEs) were key players in transcription initiation. Identifying CPEs is crucial for understanding gene expression. In this paper, a framework for finding new CPEs was proposed. An experiment was performed on the sequences of Eukaryotic Promoter Database (EPD). From the results, the known CPEs were all recovered; in addition, five new motifs were discovered in Drosophila and three in human. By comparing the results with currently known CPEs, it is shown that the proposed system is feasible and reliable, and these new CPEs are worth of further exploration.
A New Hierarchical Network Address Structure Based on Geographical Regionalism
Authors: Xue Geng, Liao Lejian, Fan Xiumei
Venue: Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 02 (2009)

The emergence of IPv6 and ALM (Application Layer Multicast) technology brings a new favorable opportunity for the development of both network structure and network address assignment. Considering geographical regionalism as one vantage point, we propose a new network topology division and network address assignment model which adopts hierarchical and structured method. Then we make a detailed description about this model's routing policy, which is based on field match of the network address. At the end of this paper, we summarize the advantages and the challenge of this model according to the comparison with conventional network.
Brief communication: Genomic splice site prediction algorithm based on nucleotide sequence pattern for RNA viruses
Authors: Kun-Nan Tsai, Shu-Hung Lin, Shin-Ru Shih, Jhih-Siang Lai, Chung-Ming Chen
Venue: Computational Biology and Chemistry (2009)

Splice site prediction on an RNA virus has two potential difficulties seriously degrading the performance of most conventional splice site predictors. One is a limited number of strains available for a virus species and the other is the diversified sequence patterns around the splice sites caused by the high mutation frequency. To overcome these two difficulties, a new algorithm called Genomic Splice Site Prediction (GSSP) algorithm, was proposed for splice site prediction of RNA viruses. The key idea of the GSSP algorithm was to characterize the interdependency among the nucleotides and base positions based on the eigen-patterns. Identified by a sequence pattern mining technique, each eigen-pattern specified a unique composition of the base positions and the nucleotides occurring at the positions. To remedy the problem of insufficient training data due to the limited number of strains for an RNA virus, a cross-species strategy was employed in this study. The GSSP algorithm was shown to be effective and superior to two conventional methods in predicting the splice sites of five RNA species in the Orthomyxoviruses family. The sensitivity and specificity achieved by the GSSP algorithm was higher than 99 and 94%, respectively, for the donor sites, and was higher than 96 and 92%, respectively, for the acceptor sites. Supplementary data associated with this work are freely available for academic use at http://homepage.ntu.edu.tw/~d91548013/.
Design of the active steering controller of scaled railway vehicle improving curving performance
Authors: Min-Soo Kim, Yeun-Sub Byun, Hyun-Moo Hur
Venue: Proceedings of the 7th conference on Circuits, systems, electronics, control and signal processing (2008)

This paper describes the design of the active steering controller of scaled railway vehicle to alleviate wheel/rail contact forces and to decrease wheel/rail wear. Active steering system of railway vehicles has proven its ability to bridge the gap between stability and curve friendliness. This system consists of two steering actuators, a steering controller, and various sensor systems to detect lateral displacement, vibration, track curvature, and so on. The control strategy is founded on motion of the wheel sets for lateral and yawing motions detected wheel/rail displacement. Running test results of 1/5 scaled active steering vehicle on the curved track show that the proposed active steering control system has good performance.
System dynamics: what's in it for healthcare simulation modelers
Authors: Sally C. Brailsford
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

In the past decade there has been an explosion in the use of system dynamics modeling in healthcare. Despite this, the approach is still far less well known than discrete-event simulation in the mainstream Operations Research community. This paper contains an introduction to system dynamics, illustrated by several examples in the field of healthcare, and discusses some of the possible reasons for the growth in the popularity of this approach for healthcare modeling.
Easy humanoid motion generation from user demonstration using wearable interface
Authors: Ilwoong Jeong, Hyun S. Yang
Venue: Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology (2008)

Humanoids should have not only a similar appearance with humans but also abilities to perform human-like behaviors. However, today's humanoid robots are not smart enough to adapt to their working environments, so they need some help to learn new behaviors. Especially for an entertainment purpose, an easy motion generation method is very important for end users who are not experts on robot programming. In this paper, we propose a method to generate motion of humanoid robots from user demonstration using an intuitive wearable interface. A curve simplification algorithm and a clustering method are applied to extract motion primitives. Transition probabilities among the motion primitives are calculated to make a motion model and motions are regenerated by rearranging the motion primitives based on the motion model. A wearable interface is developed for capturing user demonstration and interacting with a partner robot. A humanoid robot, AMIO is used to test the generated motion.
Mitigation of the effects of selfish and malicious nodes in ad-hoc networks
Authors: Houssein Hallani, Seyed A. Shahrestani
Venue: WSEAS Transactions on Computers (2009)

A wireless Ad-hoc network is a group of wireless devices that communicate with each other without utilising any central management infrastructure. The operation of Ad-hoc networks depends on the cooperation among nodes to provide connectivity and communication routes. However, such an ideal situation may not always be achievable in practice. Some nodes may behave maliciously, resulting in degradation of the performance of the network or even disruption of its operation altogether. To mitigate the effect of such nodes and to achieve higher levels of security and reliability, this paper expands on relevant fuzzy logic concepts to propose an approach to establish quantifiable trust levels between the nodes of Ad-hoc networks. These trust levels are then used in the routing decision making process. Using OPNET and MATLAB simulators, the proposed approach is validated and further studied. The findings show that when the proposed approach is utilised, the overall performance of the Ad-hoc network is significantly improved.
Applications of colloidal quantum dots
Authors: Ke Sun, Milana Vasudev, Hye-Son Jung, Jianyong Yang, Ayan Kar, Yang Li, Kitt Reinhardt, Preston Snee, Michael A. Stroscio, Mitra Dutta
Venue: Microelectronics Journal (2009)

This paper addresses a number of major trends underlying the continuing effort to realize practical optoelectronic, electronic, and information-processing devices based on ensembles of quantum dots assembled in a variety of matrix materials. The great diversity of such structures makes it possible to fabricate numerous ensemble-based devices for applications underlying photoluminescent devices, light-emitting diodes, displays, photodetectors, photovoltaic devices, and solar cells. In addition, the application of colloidal quantum dots to allied technologies such as nanobiotechnology is considered for the case of monitoring conformational changes in biomolecules using luminescent quantum dots.
A taylor series methodology for analyzing the effects of process variation on circuit operation
Authors: Raghuram Srinivasan, Harold W. Carter
Venue: Proceedings of the 19th ACM Great Lakes symposium on VLSI (2009)

We present a methodology that can analyze the effect of process variations without requiring the repeated simulations of a Monte Carlo type method. A graph theoretic procedure is described to obtain an explicit differential equation from the differential algebraic equations modeling a circuit netlist. With this explicit form, Taylor series polynomials are used to represent the system variables. The non-constant process parameters are represented as intervals, the Taylor series expansion is used to perform interval computations to generate bounds for the system variables. Methods are discussed to prevent blow-up of intervals during the time marching method.
Password Management for EPC Class 1 Generation 2 Transponders
Authors: Claus Wonnemann, Jens Strüker
Venue: Proceedings of the 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services (2008)

RFID systems compliant to the widely-used standard EPC Class 1 Generation 2 lack effective security mechanisms. We show that passwords used to protect critical functionality can be obtained by attackers with only moderate effort. Since more capable systems are not likely to replace the current standard in the medium term, it is crucial to embed the deployment of RFID technology into IT-ecosystems that ensure a minimization of the potential damage caused by an attack. This objective can be achieved by using transponder-individual passwords. The associated challenge of an efficient and scalable password management remains one of most pressing problems of an enterprise-spanning RFID deployment, however. In this paper, we present two approaches for a password management infrastructure and describe their integration into a retailer's processes.
Poly-Modeling with 3ds Max: Thinking Outside of the Box
Authors: Todd Daniele
Venue:  (2008)

Polymodeling is a modeling technique used in 3d modeling. Unlike box modeling, or other forms of modeling where you start out with a basic form or primitive object that determines the mass of an object, artists can use the polygon (the basic building block of all of the primitives available in 3ds Max). This approach allows for more control over the flow, placement and detail of the meshes that are built. Placement of vertices/points, edges and all other sub-elements that build our models is determined by the user, rather than pre-determined by a computer generated primitive.This book is a collection of tips, tricks and techniques on how to create professional models for advertising on T.V and the web. The author has tons of industry experience using Max toward this end, and he shares the secrets of his trade. As Production Modeler for some of today's hottest studios (including GuerillaFx, Coke Zero, MTV, Old Navy, Nike, Target, HP) Todd Daniele brings real-world experience to the book. Daniele teaches the technical aspects of polymodeling, while showing how to ultimately create content in a dynamic, efficient manner.Associated web site offers instructional files that show the models in progressive stages of development; plus a supporting internet forum: readers can log-on to this forum to ask questions or comment on anything covered in the book.--Official Autodesk technique series book. We have the Autodesk green light for inclusion in the series.--Collection of tips, tricks and techniques on how to create models for advertising, T.V and the web.--Unique focus on polymodeling over box modeling. --Quick techniques for deadline crunch - to speed workflow.--Detailed exercises to take you step-by-step through the process of creating high quality models in a short amount of time. --Author Todd Daniele (who is himself professionally generating Max assets for some of today's hottest studios) shares his insider secrets.
A game theory approach to high-level strategic planning in first person shooters
Authors: Rune Rasmussen
Venue: Proceedings of the 5th Australasian Conference on Interactive Entertainment (2008)

As computer systems become more dependent on standalone devices such as graphics cards, video game developers can execute additional features on the CPU; high-level AI in video games is one such feature. The problem of developing high quality AI for video games is not simple, as human and computer interactions can be very complex. An exception can be found in the classical board game genre, which involves well defined games and players who apply rational policies to win. Many artificial board-game players can make moves within set time limits and are able to play at expert levels [10]. Given that high-quality AI technologies already exist for many board games, this paper explores the question: how can the technologies used in artificial board game players be applied to high-level strategic planning in First Person Shooters?
Planar Feedback Vertex Set and Face Cover: Combinatorial Bounds and Subexponential Algorithms
Authors: Athanassios Koutsonas, Dimitrios M. Thilikos
Venue: Graph-Theoretic Concepts in Computer Science: 34th International Workshop, WG 2008, Durham, UK, June 30 --- July 2, 2008. Revised Papers (2008)

The Planar Feedback Vertex Set problem asks, whether an n-vertex planar graph contains at most k vertices meeting all its cycles. The Face Cover problem asks, whether all vertices of a plane graph G lie on the boundary of at most k faces of G. Standard techniques from parameterized algorithm design indicate, that both problems can be solved by sub-exponential parameterized algorithms (where k is the parameter). In this paper, we improve the algorithmic analysis of both problems by proving a series of combinatorial results, relating the branchwidth of planar graphs with their face cover. Combining this fact with duality properties of branchwidth, allows us to derive analogous results on feedback vertex set. As a consequence, it follows that Planar Feedback Vertex Set and Face Cover can be solved in $O(2^{15.11\cdot \sqrt{k}}+ n^{O(1)})$ and $O(2^{10.1\cdot \sqrt{k}}+n^{O(1)})$ steps, respectively.