ppxscal/embedding_network huggingface dataset:
A mixture model approach for the analysis of small exploratory microarray experiments
Authors: W. M. Muir, G. J. M. Rosa, B. R. Pittendrigh, Z. Xu, S. D. Rider, M. Fountain, J. Ogas
Venue: Computational Statistics Data Analysis (2009)

The microarray is an important and powerful tool for prescreening of genes for further research. However, alternative solutions are needed to increase power in small microarray experiments. Use of traditional parametric and even non-parametric tests for such small experiments lack power and have distributional problems. A mixture model is described that is performed directly on expression differences assuming that genes in alternative treatments are expressed or not in all combinations (i) not expressed in either condition, (ii) expressed only under the first condition, (iii) expressed only under the second condition, and (iv) expressed under both conditions, giving rise to 4 possible clusters with two treatments. The approach is termed a Mean-Difference-Mixture-Model (MD-MM) method. Accuracy and power of the MD-MM was compared to other commonly used methods, using both simulations, microarray data, and quantitative real time PCR (qRT-PCR). The MD-MM was found to be generally superior to other methods in most situations. The advantage was greatest in situations where there were few replicates, poor signal to noise ratios, or non-homogeneous variances.
Supporting mobility in content-based publish/subscribe middleware
Authors: Ludger Fiege, Felix C. Gärtner, Oliver Kasten, Andreas Zeidler
Venue: Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware (2003)

Publish/subscribe (pub/sub) is considered a valuable middleware architecture that proliferates loose coupling and leverages reconfigurability and evolution. Up to now, existing pub/sub middleware was optimized for static systems where users as well as the underlying system structure were rather fixed. We study the question whether existing pub/sub middleware can be extended to support mobile and location-dependent applications. We first analyze the requirements of such applications and distinguish two orthogonal forms of mobility: the system-centric physical mobility and an application-centric logical mobility (where users are aware that they are changing location). We introduce location-dependent subscriptions as a suitable means to exploit the power of the event-based paradigm in mobile applications. Briefly spoken, location-dependency refines a subscription to accept only events related to a mobile user's current location. Implementations for both forms of mobility are presented within the content-based pub/sub middleware Rebeca, drawing from its refined routing capabilities (namely, covering and merging).
Systems Analysis For Collaborative System By Use Case Diagram
Authors: Ryo Kawabata, Toshiharu Kasahara, Kiyoshi Itoh
Venue: Journal of Integrated Design Process Science (2007)

In systems analysis, it is important to analyze and describe the target system from the viewpoint of the collaboration task. This paper employs a use case diagram at the beginning of the analysis of the collaboration task. A Use case diagram is used to analyze the interaction between a system and end users. The simple notation of use case diagram facilitates to describe it. The authors propose a method to describe a use case diagram from the viewpoint of the collaboration task. In the method, a use case diagram is described for each material or information in the system. A use case expresses a state of material or information. By focusing on life cycle of each material and information, use cases can be identified easily. In the analysis of the collaboration task, it is important to analyze relationships among personnel, information and material. In the method, a state that information or material is sent from which personnel to which personnel is described explicitly as a use case. Since the use case is described for representing the collaboration task, components described in the use case diagram can be easily used to next phase in the analysis. The authors developed an editor for describing a use case diagram for the collaboration task. The editor implements a navigator which supports to describe a skeleton of a Petri Net by using components in the use case diagram.
Database semantic integrity for a network data manager
Authors: Elizabeth Fong, Stephen R. Kimbleton
Venue: Proceedings of the May 19-22, 1980, national computer conference (1980)

The goal of semantic integrity is assuring that data within a database is logically correct. Logical correctness is evaluated by showing that the data represents a valid abstraction or model of a 'real world' application. This is required for effective use of the database.
From a single- to multi-server online game: a Quake 3 case study using RTF
Authors: Alexander Ploss, Stefan Wichmann, Frank Glinka, Sergei Gorlatch
Venue: Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology (2008)

Fast-paced action online games like First Person Shooters (FPS) pose high demands on resources and thus require multi-server architectures in order to scale to higher player numbers. However, their multi-server implementation is a challenging task: the game processing needs to be parallelized and the synchronization of the distributed game state needs to be efficiently implemented. As part of the European edutain@grid project 1, we are developing Real-Time Framework (RTF) -- a middleware that provides high-level support for the development of multi-server online games. This paper describes a case study on porting the open-source, single-server Quake 3 Arena game engine to a multi-server architecture using RTF and its state replication approach. We conducted extensive scalability and responsiveness experiments with the ported version of Quake 3 to evaluate the performance of our middleware. The experiments show that the responsiveness of RTF implementation can compete with the original Quake engine, and that the replication support allows to efficiently scale FPS games using multi-server processing.
Distinguishing defaults and second-line conceptualization in reasoning about humans, robots, and computers
Authors: Daniel T. Levin, Megan M. Saylor
Venue: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction (2009)

In previous research, we demonstrated that people distinguish between human and nonhuman intelligence by assuming that humans are more likely to engage in intentional goal-directed behaviors than computers or robots. In the present study, we tested whether participants who respond relatively quickly when making predictions about an entity are more or less likely to distinguish between human and nonhuman agents on the dimension of intentionality. Participants responded to a series of five scenarios in which they chose between intentional and nonintentional actions for a human, a computer, and a robot. Results indicated that participants who chose quickly were more likely to distinguish human and nonhuman agents than participants who deliberated more over their responses. We suggest that the short-RT participants were employing a first-line default to distinguish between human intentionality and more mechanical nonhuman behavior, and that the slower, more deliberative participants engaged in deeper second-line reasoning that led them to change their predictions for the behavior of a human agent.
Performance Analysis for Image Super-Resolution Using Blur as a Cue
Authors: Deven Patel, Subhasis Chaudhuri
Venue: Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition (2009)

A number of algorithms for image super-resolution using multiple images, have been developed over the last two decades. On the other hand, a very less amount of efforts have been made to explore the issues regarding performance analysis of these methods. Since the problem of super-resolution is often a parameter estimation problem, the Cramer-Rao bound proves to be useful tool in analyzing the performance of the estimators. We focus on the problem of super-resolving with blur as a cue. In this paper we look at the factors affecting the achievable bounds in super-resolution. We analyze the effects of the magnification factor, modeling noise and the spectrum of the signal to be super-resolved.
Point-set embeddings of trees with given partial drawings
Authors: Emilio Di Giacomo, Walter Didimo, Giuseppe Liotta, Henk Meijer, Stephen K. Wismath
Venue: Computational Geometry: Theory and Applications (2009)

Given a graph G with n vertices and a set S of n points in the plane, a point-set embedding of G on S is a planar drawing such that each vertex of G is mapped to a distinct point of S. A geometric point-set embedding is a point-set embedding with no edge bends. This paper studies the following problem: The input is a set S of n points, a planar graph G with n vertices, and a geometric point-set embedding of a subgraph G^'@?G on a subset of S. The desired output is a point-set embedding of G on S that includes the given partial drawing of G^'. We concentrate on trees and show how to compute the output in O(n^2logn) time in a real-RAM model and with at most n-k edges with at most 1+2@?k/2@? bends, where k is the number of vertices of the given subdrawing. We also prove that there are instances of the problem which require at least k-3 bends on n-k edges.
The vertex-connectivity of a distance-regular graph
Authors: Andries E. Brouwer, Jack H. Koolen
Venue: European Journal of Combinatorics (2009)

The vertex-connectivity of a distance-regular graph equals its valency.
Beginning Python Visualization: Crafting Visual Transformation Scripts
Authors: Shai Vaingast
Venue:  (2009)

We are visual animals. But before we can see the world in its true splendor, our brains, just like our computers, have to sort and organize raw data, and then transform that data to produce new images of the world. Beginning Python Visualization: Crafting Visual Transformation Scripts talks about turning many types of small data sources into useful visual data. And you will learn Python as part of the bargain. What youll learn Write ten lines of code and present visual information instead of data soup. Set up an open source environment ready for data visualization. Forget Excel: use Python. Learn numerical and textual processing. Draw graphs and plots based on textual and numerical data. Learn how to deal with images. Who is this book for? IT personnel, programmers, engineers, and hobbyists interested in acquiring and displaying data from the Web, sensors, economic trends, and even astronomical sources. About the Apress Beginning Series The Beginning series from Apress is the right choice to get the information you need to land that crucial entrylevel job. These books will teach you a standard and important technology from the ground up because they are explicitly designed to take you from novice to professional. Youll start your journey by seeing what you need to knowbut without needless theory and filler. Youll build your skill set by learning how to put together realworld projects step by step. So whether your goal is your next career challenge or a new learning opportunity, the Beginning series from Apress will take you thereit is your trusted guide through unfamiliar territory!
On Preferring and Inspecting Abductive Models
Authors: Luís Moniz Pereira, Pierangelo Dell'Acqua, Gonçalo Lopes
Venue: Proceedings of the 11th International Symposium on Practical Aspects of Declarative Languages (2009)

This work proposes the application of preferences over abductive logic programs as an appealing declarative formalism to model choice situations. In particular, both a priori and a posteriori handling of preferences between abductive extensions of a theory are addressed as complementary and essential mechanisms in a broader framework for abductive reasoning. Furthermore, both of these choice mechanisms are combined with other formalisms for decision making, like economic decision theory, resulting in theories containing the best advantages from both qualitative and quantitative formalisms. Several examples are presented throughout to illustrate the enounced methodologies. These have been tested in our implementation, which we explain in detail.
Foundation Fireworks CS4, 1 edition
Authors: Grant Hinkson, Craig Erskine, Matt Heerema, Chuck Mallott, Matthew Keefe, Hugh Griffith
Venue:  (2009)

Are you a web designer who is looking for a new and quicker way to prototype and create for the web? Perhaps you are a programmer who finds most design tools to be overkill for what you need to get done. Or, maybe you're an old Fireworks pro, who wants to keep up to date on the latest changes in Creative Suite 4. Either way, this book has something for you. Coverage of all that's new and powerful for the Web designer and developer in Fireworks CS4 Targets developers who want design tools that don't get in their way and designers who want development tools that don't constrain their creativity Do all your website and page prototypes and comps in one tool and learn how to take them straight to Dreamweaver to implement your designs What you'll learn Why Fireworks vs. any other graphics Web design tool How to use Fireworks as a compliment to web development How to integrate Fireworks into an enterprise environment How to master a tool that boasts extreme versatility Who is this book for? Code savvy designers, or web developers who want to refine their design sensibilities. Either way, the individual(s) will be those who want to enhance their work-flow with a graphics tool that allows them to quickly get things done, rather than getting in their way.
A Two-Stage Approach to Highlight Extraction in Sports Video by Using AdaBoost and Multi-modal
Authors: Shaojie Cai, Shuqiang Jiang, Qingming Huang
Venue: Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing (2008)

In this paper, we propose a novel two-stage approach for highlight extraction in sports video. In the first stage, a preliminary classification is performed to the audio stream to locate the position of the highlight candidates. We employ AdaBoost algorithm for feature selection and audio classification. In the second stage, we extract visual and temporal features of these highlight candidates and feed them into a linear weighted model for further highlight extraction. The final highlight segments are determined based on the output value of the model. The advantage of this method is its low computational complexity and relatively high accuracy. Experimental results on tennis video demonstrate effectiveness and efficiency of our proposed approach.
Architecture for modeling, simulation, and execution of PLC based manufacturing system
Authors: Devinder Thapa, C. M. Park, Kwan Hee Han, S. C. Park, Gi-Nam Wang
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

In this paper, we propose an integrated architecture for modeling, simulation, and execution of PLC (Programmable Logic Controller) based manufacturing system. The main objective is to integrate the high level modeling, simulation, and device level executable code generation. This architecture can improve the fidelity between high level system model and lower level PLC controlled devices. In this paper, we model the shop floor controller system using DEVS (Discrete Event System Specification) formalism, subsequently, simulate the model and generate SOP (sequence of operations). We added two algorithms in conventional DEVS, the first algorithm makes an interface between 3D graphic model and DEVS model, whereas, the second algorithm generates SOP. As a result, the generated SOP can be mapped with PLC I/O (Input/Output) address to generate an executable controller code. For the purpose of further validation and implementation, the generated program can be downloaded to software or hardware PLC.
Porting VoIP applications to DCCP
Authors: Jiayu Wang, Quincy Wu
Venue: Proceedings of the International Conference on Mobile Technology, Applications, and Systems (2008)

In the digital era, the increase of network bandwidth and the ubiquitous wireless access facilitates the creation of more and more innovative network services. Among these services, Voice over Internet Protocol (VoIP) is surely one of the most popular and successful real-time multimedia services on the Internet. For decades, User Datagram Protocol (UDP) has been adopted to transport the voice streams of VoIP applications on the network. In this paper, we presented how the Datagram Congestion Control Protocol (DCCP), recently developed by Internet Engineering Task Force (IETF), can be utilized to transport realtime audio stream through Real-time Transport Protocol (RTP). We proposed the design and architecture of a VoIP application running on DCCP, and take Linphone, an open-source Internet VoIP phone on Linux, as an example to illustrate how to apply DCCP to establish a bidirectional Session Initiation Protocol (SIP) communication.
Twenty commandments for managing the development of tactical computer programs
Authors: James A. Ward
Venue: Proceedings of the May 6-10, 1974, national computer conference and exposition (1974)

The million-word AEGIS computer program has been successfully completed. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Parity space-based fault detection for Markovian jump systems
Authors: Maiying Zhong, Qiang Ding, Peng Shi
Venue: International Journal of Systems Science (2009)

This article deals with problems of parity space-based fault detection for a class of discrete-time linear Markovian jump systems. A new algorithm is firstly introduced to reduce the computation of mode-dependent redundancy relation parameter matrices. Different from the case of linear time invariant systems, the parity space-based residual generator for a Markovian jump system cannot be designed off-line because it depends on the history of system modes in the last finite steps. In order to overcome this difficulty, a finite set of parity matrices is pre-designed applying a unified approach to linear time invariant systems. Then the on-line residual generation can be easily implemented. Moreover, the problem of residual evaluation is also considered which includes the determination of a residual evaluation function and a threshold. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.
Connectivity-based clustering with stretching technique in MANETs
Authors: Khac Tiep Mai, Dongkun Shin, Hyunseung Choo
Venue: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication (2009)

In this paper, we propose a multi-hop stretching clustering scheme for MANETs. As the solution of k-hop minimum dominating set, our proposed scheme aims to reduce the number of cluster-heads which are responsible for maintaining the cluster backbone. By considering the intra connectivity, nodes with low communication reliability can join better clusters for better communication quality. We also prove the relationship between intra-connectivity and the remaining staying time of one node in its current cluster. Based on that, the intra-connection degree is taken into account when one mobile node chooses cluster candidates for joining. Next, we apply a stretching technique in clustering to decrease the leaving frequency of cluster-members. Finally, extensive performance evaluation verifies our results under different system settings.
Design of a minicomputer network for the automatic determination of amino acid sequences in proteins
Authors: E. L. Baatz, B. W. Jordan,  Jr., K. J. King, W. J. Lennon, Z. Z. Stroll
Venue: Proceedings of the May 6-10, 1974, national computer conference and exposition (1974)

A protein is a simple, nonbranching chain, where any link in the chain is one of approximately twenty different amino acids. The chemical tools available for the determination of the primary structure of a protein (that is, the types of amino acids that are in the protein and the sequence in which they are linked) are relatively few in number and vary greatly in sophistication.
Research on Electric Power Steering System Based on Compound Control of CMAC and PID
Authors: Peilin Shi, Shixiang Gao, Yi Wang
Venue: Proceedings of the 2009 Second International Symposium on Intelligent Information Technology and Security Informatics (2009)

Because of the complex nonlinearity of electric power steering system, the actual current of motor can’t follow the tracks of the target current well with PID controller. A compound controller of CMAC and PID is proposed for it. This controller realized the feedback control with traditional PID controller to make the electric power steering system stable, and realized the feed forward control with CMAC neural network controller to increase the response speed and control precision. Simulation results showed that actual current of motor can follow the tracks of the target current very well with the compound controller. Moreover, the compound control system of CMAC and PID is less sensitive to the change of parameters than that in PID control system.
Cache Controller Design on Ultra Low Leakage Embedded Processors
Authors: Zhao Lei, Hui Xu, Naomi Seki, Saito Yoshiki, Yohei Hasegawa, Kimiyoshi Usami, Hideharu Amano
Venue: Proceedings of the 22nd International Conference on Architecture of Computing Systems (2009)

A leakage-efficient cache controller design targeted on ultra low power embedded processors is proposed. The key insight is that a large circuits subset is accessed only when cache misses happen. By utilizing the fine-grained run-time power gating technique, such a subset can be dynamically powered-off as a power gated domain. Two simple but effective sleeping control policies are proposed to assure the leakage reduction effect; and to eliminate the impact of wake-up process, a latency cancellation mechanism is also proposed. Evaluation results show, in 90nm CMOS technology, 69% and 64% of leakage power can be reduced for instruction cache controller and data cache controller without performance degradation.
Evolving an Ensemble of Neural Networks Using Artificial Immune Systems
Authors: Bruno H. Barbosa, Lam T. Bui, Hussein A. Abbass, Luis A. Aguirre, Antônio P. Braga
Venue: Proceedings of the 7th International Conference on Simulated Evolution and Learning (2008)

This paper presents a novel ensemble construction approach based on Artificial Immune Systems (AIS) to solve regression problems. Over the last few years AIS have increasingly attracted interest from researchers due to their ability to balance the exploration and exploitation of the search space. Nevertheless, there have been just a few applications of those algorithms in the construction of committee machines. In this paper, a population of feed-forward neural networks is evolved using the Clonal Selection Algorithm and then ensembles are automatically composed of a subset of this neural network population. Results show that the proposed algorithm can achieve good generalization performance on some hard benchmark regression problems.
Capturing and Using Quality Attributes Knowledge in Software Architecture Evaluation Process
Authors: Muhammad Ali Babar, Rafael Capilla
Venue: Proceedings of the 2008 First International Workshop on Managing Requirements Knowledge (2008)

Architectural knowledge management approaches have paid little attention to manage knowledge about quality attributes, which are the key considerations for designing and evaluating software architecture. In this work we identify the kinds of information that needs to be captured about quality attributes with special focus on architectural design decisions. We also describe how a tool can help to capture and reuse quality attributes knowledge to improve the software architecture process