ppxscal/embedding_network huggingface dataset:
Measuring the effects of preprocessing decisions and network forces in dynamic network analysis
Authors: Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfahanian
Venue: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009)

Social networks have become a major focus of research in recent years, initially directed towards static networks but increasingly, towards dynamic ones. In this paper, we investigate how different pre-processing decisions and different network forces such as selection and influence affect the modeling of dynamic networks. We also present empirical justification for some of the modeling assumptions made in dynamic network analysis (e.g., first-order Markovian assumption) and develop metrics to measure the alignment between links and attributes under different strategies of using the historical network data. We also demonstrate the effect of attribute drift, that is, the importance of individual attributes in forming links change over time.
Implementation and Effectiveness of a Feedback Feature in Underlining to Promote Reading Comprehension of e-Learning Instructional Materials
Authors: Yoshihiro Fukunaga, Tsukasa Hirashima, Akira Takeuchi
Venue: Proceeding of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation (2005)

In this research, a system was developed to enable underlining by learners to promote reading comprehension of e-learning instructional materials, and an attempt was made to further promote such underlining activity by evaluating and providing feedback on the learner's underlining. E-learning instructional materials implementing this feature were created and used as auxiliary instructional materials in actual classes, and a group of learners using instructional materials with underlining capability only were compared against a group of learners using instructional materials which also provided the feedback feature. The following results were obtained for the latter group: (1) The usage rate of the instructional materials was higher, (2) Underlining activities thought to be desirable for reading comprehension were more frequently seen, and (3) The rate of correct answers on a test for confirming reading comprehension was higher. These results suggest that the feedback feature for underlining which was implemented in this research is effective for promoting reading comprehension.
Project Scheduling Problem for Software Development with Random Fuzzy Activity Duration Times
Authors: Wei Huang, Lixin Ding, Bin Wen, Buqing Cao
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II (2009)

This paper presents a new method that describes activity duration times, which can be as random fuzzy variables to solve the software project scheduling problem. It solves the problem of the present classic models, such as PERT and CPM, which are weak in solving project scheduling problem for software development due to the concurrent, iterative and evolutionary nature characteristics of software projects. Next, a novel stochastic software project scheduling model --expected cost model --is suggested. Furthermore, basing on genetic algorithm and random fuzzy simulation, a hybrid intelligent algorithm is designed to solve the expected cost model. Numerical experiments illustrate the effectiveness of the hybrid intelligent algorithm.
Scalable Grouping Based on Neuro-Fuzzy Clustering for P2P Networks
Authors: Romeo Mark Mateo, Hyunho Yang, Jaewan Lee
Venue: Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications (2009)

In this paper, we present a scalable grouping based on the proposed neuro-fuzzy clustering (NFC) which is a combination of fuzzy clustering and neuro-fuzzy classification for P2P networks. Fuzzy clustering is used to construct the classifier structure for the grouping technique and neuro-fuzzy algorithm is used to adjust the fuzzy system in creating the accurate classifier. After the adjustment, each peer is processed in multi-ring algorithm using the fuzzy membership function of NFC. The scalable peer grouping contributes on load distribution by forwarding incoming request to the least loaded peer. Performance result showed that the proposed scalable peer grouping classifies more peers in a group for availability of resources and accurately classifies peer group.
Fast evolutionary maximum margin clustering
Authors: Fabian Gieseke, Tapio Pahikkala, Oliver Kramer
Venue: Proceedings of the 26th Annual International Conference on Machine Learning (2009)

The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding an optimal partition of the data into two classes such that the margin induced by a subsequent application of a support vector machine is maximal. We propose a method based on stochastic search to address this hard optimization problem. While a direct implementation would be infeasible for large data sets, we present an efficient computational shortcut for assessing the "quality" of intermediate solutions. Experimental results show that our approach outperforms existing methods in terms of clustering accuracy.
Developing application for mobile wireless devices
Authors: Nidal Nasser
Venue: Proceedings of the 2009 conference on Information Science, Technology and Applications (2009)

Today, the development in the wireless and mobile communications systems including mobile devices (e.g., cellular phones, personal digital assistants (PDAs), PDA/cellular phone combinations, pagers, and other wearable devices) and wireless technologies (e.g., cellular systems: GPRS, UMTS, HSPA and UMTS LTE, Wi-Fi, WiMAX and others) leads to use a variety of applications. The number and variety of such devices keeps growing at a fast pace as new processing, display, battery and wireless technologies are invented and as new applications for these devices are envisioned. Thus, as the need for integrating mobile devices and wireless technologies matures there will be great emphasis on developing appropriate services and applications. In this tutorial, we explain how to develop applications for current and emerging mobile devices, and performing tasks at all stages of the software development life-cycle from inception through to implementation and testing.
Dynamic plan generation for parameterized queries
Authors: Ahmad Ghazal, Dawit Seid, Bhashyam Ramesh, Alain Crolotte, Manjula Koppuravuri, Vinod G
Venue: Proceedings of the 35th SIGMOD international conference on Management of data (2009)

Query processing in a DBMS typically involves two distinct phases: compilation, which generates the best plan and its corresponding execution steps, and execution, which evaluates these steps against database objects. For some queries, considerable resource savings can be achieved by skipping the compilation phase when the same query was previously submitted and its plan was already cached. In a number of important applications the same query, called a Parameterized Query (PQ), is repeatedly submitted in the same basic form but with different parameter values. PQ's are extensively used in both data update (e.g. batch update programs) and data access queries. There are tradeoffs associated with caching and re-using query plans such as space utilization and maintenance cost. Besides, pre-compiled plans may be suboptimal for a particular execution due to various reasons including data skew and inability to exploit value-based query transformation like materialized view rewrite and unsatisfiable predicate elimination. We address these tradeoffs by distinguishing two types of plans for PQ's: generic and specific plans. Generic plans are pre-compiled plans that are independent of the actual parameter values. Prior to execution, parameter values are plugged in to generic plans. In specific plans, parameter values are plugged prior to the compilation phase. This paper provides a practical framework for dynamically deciding between specific and generic plans for PQ's based on a mix of rule and cost based heuristics which are implemented in the Teradata 12.0 DBMS.
Patterns for Maude Metalanguage Applications
Authors: Eugen-Ioan Goriac, Georgiana Caltais, Dorel Lucanu, Oana Andrei, Gheorghe Grigoraş
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

One of the most effective ways of improving the quality of software engineering, system design and development, and communication between the people concerned with these problems, is provided by software patterns. In this paper we present a set of basic patterns for Maude metalanguage applications. We show the viability of the defined patterns by comparing them to the developing approaches for several well-known Maude tools.
An Energy-Driven Social Behaviour Network Architecture
Authors: Mingwei Yuan, Ping Jiang, Julian Newman
Venue: Proceeding of the 2005 conference on Self-Organization and Autonomic Informatics (I) (2005)

The motivation of this paper is to realize an energy-driven self-organising architecture of Social Behaviour Networks(SoBeNet) for the Web application. Internet agents can sense changes in the web environment via virtual web sensors and behavior selection is based on the energy spreading mechanism from the bottom-up paradigm of AI. There is no global coordinator module to control behavior selection and the cooperation between the two agents is implicitly. A social behavior network is formed spontaneously.
Microsoft Office Access 12
Authors: R. Pasewark
Venue:  (2007)

Microsoft Access 2007 Introductory is designed for beginning users of Microsoft Office 2007. 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
Continuous Time Markov Chain Model of Asset Prices Distribution
Authors: Eimutis Valakevičius
Venue: Proceedings of the 9th International Conference on Computational Science (2009)

The aim of this paper is to introduce a new model of a financial asset prices distribution. It is known that the probability distribution of an asset prices or returns is unknown in reality. The general model of asset prices based on continuous time Markov chains is proposed. For this reason the interarrivals between two price states are approximated by mixture of exponential distributions. Numerical-analytic approach is used to obtain the probability distribution of asset prices. The developed software allows creating the space of an asset prices, the matrix of transition rates among states, a system of equations to find the steady state probabilities of price states and solves the system of equations by method of imbedded Markov chains.
Mobile learning for just-in-time applications
Authors: Tia G. Tucker, Woodrow W. Winchester,  III
Venue: Proceedings of the 47th Annual Southeast Regional Conference (2009)

This document will attempt to evaluate the potential of a mobile learning and training system for use in a Just-In-Time (JIT) environment. The literature review covers existing mobile communications technology and learning systems, an overview of JIT training, and the characteristics of a JIT environment are covered before investigating a framework for implementing a JIT mobile learning system (JITML) using existing mobile learning and educational theories. Finally, the design challenges and further research and design of JITML are discussed.
WHLocator: hybrid indoor positioning system
Authors: Nathan Lemieux, Hanan Lutfiyya
Venue: Proceedings of the 2009 international conference on Pervasive services (2009)

There exists a multitude of location-sensing systems utilizing wireless technology. The systems vary in cost, coverage and accuracy. In this paper, we introduce WHLocator which provides location information based three technologies: WiFi, altimeter and images. Our results show that the combination of three technologies improves location accuracy.
Enabling programmable ubiquitous computing environments: the dais middleware
Authors: Christine Julien
Venue:  (2008)

Emerging ubiquitous computing scenarios involve client applications that dynamically collect information directly from the local environment by leveraging sensor network nodes opportunistically and unpredictably. Such scenarios deviate from existing deployments of sensor networks which are often highly application-specific and generally funnel information to a central collection service for a single purpose. A significant barrier to the widespread development of such flexible sensor network applications lies in the increased complexity of the programming task when compared to existing distributed or even mobile situations. Ubiquitous computing nodes are severely resource-constrained, in terms of both computational capabilities and battery power, and therefore the application development task must inherently consider low-level design concerns, such as reducing power consumption, minimizing communication in the network to extend the network&rsquo;s lifetime, and handling the variability of devices&rsquo; capabilities and constraints. This complexity, coupled with the increasing demand for applications, highlights the need for programming platforms (i.e., middleware) that simplify application development. This dissertation reports on the DAIS (Declarative Applications in Immersive Sensor networks) middleware platform that enables the development of adaptive ubiquitous computing applications. Our approach focuses on minimizing communication and coordination to best ensure the network&rsquo;s lifetime. DAIS attempts to localize data collection and sensor interaction to only the regions of the network required for the applications&rsquo; immediate data needs. At the programming interface level, this requires exposing some aspects of the physical world to the developer, and we accomplish this through novel programming abstractions that enable on demand access to dynamic data sources. We develop a pair of intuitive grouping abstractions, the scene (which enables local interactions) and the virtual sensor (which enables automatic abstraction of heterogeneous data), to define a coordination model that supports interactions in ubiquitous computing. We combine these abstractions with an expressive programming interface to create the complete DAIS middleware.
The subjective evaluation in the auralisation technique
Authors: Lamberto Tronchin, Kristian Fabbri, Valerio Tarabusi
Venue: Proceedings of the 10th WSEAS international conference on Acoustics & music: theory & applications (2009)

Generally acoustical qualities of concert halls and opera houses are evaluated in base of BIRs (binaural impulse responses) measured in them, and the anechoic music convoluted with BIR realizes the virtual sound as it were played in the sound field. Interaural Cross Correlation Coefficient (IACC) calculated from BIR is one of parameter to evaluate the spaciousness of hall. However the value of IACC is changed by the convolution technique in accordance with the kind of musical motif. For example, one binaural impulse response measured in the concert hall in Tsuyama (Japan) presents 0.16 for the value of IACC, while the IACC of the symphony "Royal Pavane" (Orlando Gibbons) convoluted with it is 0.39, and the IACC of the symphony "Symphonietta n14 the forth movement" (Malcolm Arnold) convoluted with it is 0.32. The aim of this study is to predict the value of IACC after convolution using the acoustical characteristic extracted from the musical motif.
Jurisdiction and the Internet: Regulatory Competence over Online Activity
Authors: Uta Kohl
Venue:  (2007)

Which state has and should have the right and power to regulate which site and online event? Who can apply their defamation or contract law, obscenity standards, gambling or banking regulation, pharmaceutical licensing requirements or hate speech prohibitions to any particular Internet activity? Traditionally, transnational activity has been 'shared out' between national sovereigns with the aid of location-centric rules and these can be adjusted to the transnational Internet. But can these allocation rules be stretched indefinitely and what are the costs for online actors and for states themselves of squeezing global online activity into nation-state law? Does the future of online regulation lie in global legal harmonization or is it a cyberspace that increasingly mirrors the national borders of the offline world? This book offers some uncomfortable insights into one of the most important debates on Internet governance. 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
Redesigning Decision Processes as a Response to Regulatory Change: a Case Study in Inter-departmental Collaboration
Authors: Csaba Csáki
Venue: Proceeding of the 2008 conference on Collaborative Decision Making: Perspectives and Challenges (2008)

Changes in the regulatory environment require the reengineering of existing business processes --and decision making processes are no exception. Decision related to procurement and supplier relationships have far-reaching effects. When Hungary has joined the EU in 2004 the accession brought on changes for the energy market as all players became subject to the Act on Public Procurement. This paper reports on how a Hungarian firm coped with the challenge of moving from commercial procurement to accommodate the requirements of Public Procurement rules. As research results indicate, the key to their success was strong leadership and the development of a decision process based on collaboration.
Humoroids: conversational agents that induce positive emotions with humor
Authors: Pawel Dybala, Michal Ptaszynski, Rafal Rzepka, Kenji Araki
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 (2009)

In this paper we propose a definition of "Humoroids" -- a new class of humor-equipped talking agents. We summarize existing research, discuss the concept of Humoroids and introduce our pun-telling agent, which (as shown in an evaluation experiment) induces positive emotion in human interlocutors.
Cursor and read only connection animations
Authors: Micah Fagre, Norberto Di Marco
Venue: Proceedings of the 47th Annual Southeast Regional Conference (2009)

The Animated Database Courseware (http://adbc.kennesaw.edu) that will be presented consists of animations, examples, and sample tests to support database curricula. It consists of five major models (Database Design, SQL, Transactional Processing, Security and Advanced Concepts) as well as many submodules. This web application has been used extensively at Kennesaw State University as well as many other universities throughout the country. Evaluations have indicated that it improves learning depth and breadth. This work describes a new sub-module to demonstrate two methods for connecting to a database which allow read, update and execute commands. The module is called Embedded SQL and the two methods demonstrated are Read and Cursor. This work has been funded by NSF grant # 0717707.
Human Computer interaction for smart environment applications using hand gestures and facial expressions
Authors: Qing Chen, Marius D. Cordea, Emil M. Petriu, Annamaria R. Varkonyi-Koczy, Thomas E. Whalen
Venue: International Journal of Advanced Media and Communication (2009)

The paper discusses two body-language Human Computer Interaction (HCI) modalities, namely facial expressions and hand gestures, for healthcare and smart environment applications. This is an expanded version of a paper presented at the 3rd IEEE International Workshop on Medical Measurements and Applications, 9 10 May 2008, Ottawa, ON, Canada.
On the Security of an Efficient Time-Bound Hierarchical Key Management Scheme
Authors: Hung-Min Sun, King-Hang Wang, Chien-Ming Chen
Venue: IEEE Transactions on Dependable and Secure Computing (2009)

Recently, Bertino et al. proposed a new time-bound key management scheme for broadcasting. The security of their scheme is planted on the hardness breaking of elliptic curve discrete log problem, HMAC, and tamper-resistance devices. They claimed that as long as the three assumptions hold, their scheme is secure. By means of secure, users cannot access resources that they are not granted, even if users collude. In this paper, we demonstrate that this scheme is insecure against the collusion attack. We also provide some possible amendments to this scheme.
A two-stage mechanism for registration and classification of ECG using Gaussian mixture model
Authors: Roshan Joy Martis, Chandan Chakraborty, Ajoy K. Ray
Venue: Pattern Recognition (2009)

An automatic classifier for electrocardiogram (ECG) based cardiac abnormality detection using Gaussian mixture model (GMM) is presented here. In first stage, pre-processing that includes re-sampling, QRS detection, linear prediction (LP) model estimation, residual error signal computation and principal component analysis (PCA) has been used for registration of linearly independent ECG features. GMM is here used for classification based on the registered features in a two-class pattern classification problem using 730 ECG segments from MIT-BIH Arrhythmia and European ST-T Ischemia datasets. A set of 12 features explaining 99.7% of the data variability is obtained using PCA from residual error signals for GMM based classification. Sixty percent of the data is used for training the classifier and 40% for validating. It is observed that the overall accuracy of the proposed strategy is 94.29%. As an advantage, it is also verified that Chernoff bound and Bhattacharya bounds lead to minimum error for GMM based classifier. In addition, a comparative study is done with the standard classification techniques with respect to its overall accuracy.
Tangible interactions in a digital age: Medium and graphic visualization in design journals
Authors: Lora Oehlberg, Kimberly Lau, Alice Agogino
Venue: Artificial Intelligence for Engineering Design, Analysis and Manufacturing (2009)

Designers are interacting with an increasing number of digital tools in their design process; however, these are usually in addition to the traditional and ubiquitous paper-based design journals. This paper explores the medium of informal design information and its relationships with sketching behavior over three stages of the design process: preliminary investigation and user needs analyses, concept generation and development, and prototyping and testing. Our test bed consists of tangible, digital, and hybrid design journals collected from four semesters of UC Berkeley's graduate level, multidisciplinary course titled “Managing the New Product Development Process: Design Theory and Methods.” We developed protocols for two categories of analysis: one that codes for the media type of each journal and its content, and another one that characterizes the content within the journal. We found a trend toward hybrid digital–tangible journals for the engineering students over the 4-year period. These hybrid journals exhibited a higher degree of detail over advancing design stages, which has been shown to correlate with improved project performance. We also present several case studies of unusual design journals that illustrate the range of designers' interpretations of design journals as a medium. Based on this descriptive research, features for interactive hybrid tangible–digital design journals are recommended.