ppxscal/embedding_network huggingface dataset:
Controlling and monitoring agile software development in three dutch product software companies
Authors: Tjan-Hien Cheng, Slinger Jansen, Marc Remmers
Venue: Proceedings of the 2009 ICSE Workshop on Software Development Governance (2009)

Agile software development governance depends on successful monitoring and control mechanisms. Software development managers generally are unaware of the complete set of monitoring and control mechanisms that are available to them, leading to uninformed decisions with unsuccessful outcomes. This paper presents a list of key process indicators and a list of interventions that software development managers require for successful governance of agile development processes. The list is based on three case studies of product software companies that have successfully developed and sold software for several decades.
Empirical measurements of lexical similarity in noun phrase conjuncts
Authors: Deirdre Hogan
Venue: Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions (2007)

The ability to detect similarity in conjunct heads is potentially a useful tool in helping to disambiguate coordination structures - a difficult task for parsers. We propose a distributional measure of similarity designed for such a task. We then compare several different measures of word similarity by testing whether they can empirically detect similarity in the head nouns of noun phrase conjuncts in the Wall Street Journal (WSJ) treebank. We demonstrate that several measures of word similarity can successfully detect conjunct head similarity and suggest that the measure proposed in this paper is the most appropriate for this task.
Metababble: a clash of metadata cultures
Authors: Monica Rivero, Geneva Henry
Venue: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries (2009)

A tension exists between making digitized resources available to users quickly and providing detailed, item-level metadata and semantic markup that make those resources more discoverable. The Our Americas Archive Partnership (OAAP) project, funded by IMLS in the fall of 2007, is facing these challenges as the project progresses. This poster presents a summary of our approach and future thoughts about descriptive approaches for digital resources.
A Multiple Weighting Matrices Selection Scheme Based on Orthogonal Random Beamforming for MIMO Downlink System
Authors: Li Tan, Gang Su, Guangxi Zhu, Peng Shang
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III (2009)

In this paper, a multiple weighting matrices selection scheme based on orthogonal random beamforming is discussed to increase the throughput of the multi-user MIMO systems. Multiple weighting matrices are performed and computed during the mini-slots. And the base station selects the best matrix based on the partial channel state information and performs the orthogonal random beamforming during the time slot. The proposed scheme over multi-user random beamforming can increase the throughput of multi-user MIMO system significantly, and the simulation results show the validity.
Cyber Forensics: A Field Manual for Collecting, Examining, and Preserving Evidence of Computer Crimes, 2nd edition
Authors: Albert Marcella,  Jr., Doug Menendez
Venue:  (2007)

Updating and expanding information on concealment techniques, new technologies, hardware, software, and relevant new legislation, this second edition details scope of cyber forensics to reveal and track legal and illegal activity. Designed as an introduction and overview to the field, the authors guide you step-by-step through the basics of investigation and introduce the tools and procedures required to legally seize and forensically evaluate a suspect machine. The book covers rules of evidence, chain of custody, standard operating procedures, and the manipulation of technology to conceal illegal activities and how cyber forensics can uncover them. Extensive appendices include websites, organizations, pertinent legislation, best practice, hardware and software, and a recap of the federal rules of civil procedure.
From pattern to practice: Evaluation of a design pattern fostering trust in virtual teams
Authors: Ellen Rusman, Jan van Bruggen, Ron Cörvers, Peter Sloep, Rob Koper
Venue: Computers in Human Behavior (2009)

This article describes the implementation and evaluation of a design pattern that fosters trust in mediated collaborative settings. The pattern proposed here should provide a profile with static and/or dynamic information about the participants of a collaborative environment. It aims to foster initial (in the first two to three weeks) trust in situations in which people do not know each other and do not have a chance to meet, but need to collaborate. A simple and low cost implementation of this pattern was realized by conducting a case study with participants of the European Virtual Seminar on Sustainable Development (EVS). They were asked to fill in a template with personal information about themselves. In the EVS, students collaboratively have to address sustainable development problems. Afterwards, students were questioned on the use of this template, called PEXPI, and their impressions of each other during and after the EVS; questionnaires and a semi-structured interview were used. The results show that the implementation of the static profile, derived from the pattern, initially helped students to form an impression of each other. After this initial period, however, students base their impression on factors such as the quality of work-related contributions, behaviour during collaboration (e.g. responsiveness), and communication style. This case study also shows that the pattern could easily be applied and transferred to a new context, as long as the conditions described in the 'context'-section of the pattern, were met. The case study provided a means for evaluation of the pattern and a source for its refinement.
A dialectic procedure for sceptical, assumption-based argumentation
Authors: Phan Minh Dung, Paolo Mancarella, Francesca Toni
Venue: Proceeding of the 2006 conference on Computational Models of Argument: Proceedings of COMMA 2006 (2006)

We present a procedure for computing the sceptical “deal semantics” for argumentation in assumption-based frameworks. This semantics was first proposed for logic programming in [1], extending the well-founded semantics. The proof procedure is defined by means of a form of dispute derivations, obtained by modifying the dispute derivations given in [2] for computing credulous admissible argumentation. The new dispute derivations are sound for the “ideal semantics” in all cases where the dispute derivations of [2] are complete for admissible argumentation. We prove that this is the case for the special kind of assumption-based frameworks with a finite underlying language and with the property of being “p-acyclic”.
A web survey on the use of active learning to support annotation of text data
Authors: Katrin Tomanek, Fredrik Olsson
Venue: Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing (2009)

As supervised machine learning methods for addressing tasks in natural language processing (NLP) prove increasingly viable, the focus of attention is naturally shifted towards the creation of training data. The manual annotation of corpora is a tedious and time consuming process. To obtain high-quality annotated data constitutes a bottleneck in machine learning for NLP today. Active learning is one way of easing the burden of annotation. This paper presents a first probe into the NLP research community concerning the nature of the annotation projects undertaken in general, and the use of active learning as annotation support in particular.
Strong Paraconsistency and the Basic Constructive Logic for an Even Weaker Sense of Consistency
Authors: Gemma Robles, José M. Méndez
Venue: Journal of Logic, Language and Information (2009)

In a standard sense, consistency and paraconsistency are understood as the absence of any contradiction and as the absence of the ECQ (`E contradictione quodlibet') rule, respectively. The concepts of weak consistency (in two different senses) as well as that of F-consistency have been defined by the authors. The aim of this paper is (a) to define alternative (to the standard one) concepts of paraconsistency in respect of the aforementioned notions of weak consistency and F-consistency; (b) to define the concept of strong paraconsistency; (c) to build up a series of strongly paraconsistent logics; (d) to define the basic constructive logic adequate to a rather weak sense of consistency. All logics treated in this paper are strongly paraconsistent. All of them are sound and complete in respect a modification of Routley and Meyer's ternary relational semantics for relevant logics (no logic in this paper is relevant).
Application and evaluation of automated semantic annotation of gene expression experiments
Authors: Leon French, Suzanne Lane, Tamryn Law, Lydia Xu, Paul Pavlidis
Venue: Bioinformatics (2009)

Motivation: Many microarray datasets are available online with formalized standards describing the probe sequences and expression values. Unfortunately, the description, conditions and parameters of the experiments are less commonly formalized and often occur as natural language text. This hinders searching, high-throughput analysis, organization and integration of the datasets. Results: We use the lexical resources and software tools from the Unified Medical Language System (UMLS) to extract concepts from text. We then link the UMLS concepts to classes in open biomedical ontologies. The result is accessible and clear semantic annotations of gene expression experiments. We applied the method to 595 expression experiments from Gemma, a resource for re-use and meta-analysis of gene expression profiling data. We evaluated and corrected all stages of the annotation process. The majority of missed annotations were due to a lack of cross-references. The most error-prone stage was the extraction of concepts from phrases. Final review of the annotations in context of the experiments revealed 89% precision. A naive system, lacking the phrase to concept corrections is 68% precise. We have integrated this annotation pipeline into Gemma. Availability: The source code, documentation and Supplementary Materials are available at http://www.chibi.ubc.ca/GEOMMTX. The results of the manual evaluations are provided as Supplementary Material. Both manual and predicted annotations can be viewed and searched via the Gemma website at http://www.chibi.ubc.ca/Gemma. The complete set of predicted annotations is available as a machine readable resource description framework graph. Contact: paul@chibi.ubc.ca
Query processing techniques for solid state drives
Authors: Dimitris Tsirogiannis, Stavros Harizopoulos, Mehul A. Shah, Janet L. Wiener, Goetz Graefe
Venue: Proceedings of the 35th SIGMOD international conference on Management of data (2009)

Solid state drives perform random reads more than 100x faster than traditional magnetic hard disks, while offering comparable sequential read and write bandwidth. Because of their potential to speed up applications, as well as their reduced power consumption, these new drives are expected to gradually replace hard disks as the primary permanent storage media in large data centers. However, although they may benefit applications that stress random reads immediately, they may not improve database applications, especially those running long data analysis queries. Database query processing engines have been designed around the speed mismatch between random and sequential I/O on hard disks and their algorithms currently emphasize sequential accesses for disk-resident data. In this paper, we investigate data structures and algorithms that leverage fast random reads to speed up selection, projection, and join operations in relational query processing. We first demonstrate how a column-based layout within each page reduces the amount of data read during selections and projections. We then introduce FlashJoin, a general pipelined join algorithm that minimizes accesses to base and intermediate relational data. FlashJoin's binary join kernel accesses only the join attributes, producing partial results in the form of a join index. Subsequently, its fetch kernel retrieves the attributes for later nodes in the query plan as they are needed. FlashJoin significantly reduces memory and I/O requirements for each join in the query. We implemented these techniques inside Postgres and experimented with an enterprise SSD drive. Our techniques improved query runtimes by up to 6x for queries ranging from simple relational scans and joins to full TPC-H queries.
Adobe Dreamweaver CS3: Complete Concepts and Techniques, 1st edition
Authors: Gary B. Shelly, Thomas J. Cashman, Dolores J. Wells, Steven M. Freund
Venue: Shelly Cashman Series (2007)

Readers will easily follow along with the chapters in Adobe Dreamweaver CS3 to gain valuable and comprehensive software skills to build their own exciting and dynamic Web sites and develop Internet applications.
Coronary Occlusion Detection with 4D Optical Flow Based Strain Estimation on 4D Ultrasound
Authors: Qi Duan, Elsa D. Angelini, Auranuch Lorsakul, Shunichi Homma, Jeffrey W. Holmes, Andrew F. Laine
Venue: Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart (2009)

Real-time three-dimensional echocardiography (RT3DE) offers an efficient way to obtain complete 3D images of the heart over an entire cardiac cycle in just a few seconds. The complex 3D wall motion and temporal information contained in these 4D data sequences has the potential to enhance and supplement other imaging modalities for clinical diagnoses based on cardiac motion analysis. In our previous work, a 4D optical flow based method was developed to estimate dynamic cardiac metrics, including strains anddisplacements, from 4D ultrasound. In this study, in order to evaluate the ability of our method in detecting ischemic regions, coronary artery occlusion experiments at various locations were performed on five dogs. 4D ultrasound data acquired during these experiments were analyzed with our proposed method. Ischemic regions predicted by the outcome of strain measurements were compared to predictions from cardiac physiology with strong agreement. This is the first direct validation study of our image analysis method for biomechanical prediction and in vivo experimental outcome.
Synchronization between Two Different Hyperchaotic Dynamical Systems Using Nonlinear Control
Authors: Lei Wang, Yong Xu
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II (2009)

This paper presents synchronization between two different hyperchaotic systems by nonlinear control laws. First, we introduced hyperchaotic Rössler system and hyperchaotic Chen system, and then synchronization problem between hyperchaotic Rössler system and hyperchaotic Chen system has been investigated. We consider the hyperchaotic Rössler system as the drive system and hyperchaotic Chen system as the response system. Last, Numerical simulations are shown to verify the results.
Detection and resolution of feature interactions in IP multimedia subsystem
Authors: Anahita Gouya, Noël Crespi
Venue: International Journal of Network Management (2009)

The IP Multimedia Subsystem (IMS) enables the delivery of multimedia services through different access networks. 3GPP adopted the Session Initiation Protocol (SIP) as the IMS signalling protocol. However, IMS interaction with these services faces the 'feature interaction' problem encountered in traditional telephony networks. This problem occurs as features invoked during a session behave correctly when processed separately from each other, but not when running together. Although much research work has explored managing feature interactions, applying these solutions in IMS remains challenging and further investigation is needed. This paper aims to analyze the feature interaction issue in IMS and to propose a new solution. We defined a SIP-based algorithm and the associated mechanisms to enhance IMS service invocation. This algorithm is the core of the Service Broker, a new functional entity in charge of managing feature interaction. We validated our proposal through a performance evaluation and prototyped the Service Broker on an open source IMS platform.
Through-wall human monitoring using data-driven models with doppler information
Authors: Hao Ling
Venue:  (2008)

Through-wall human monitoring within a highly cluttered environment is a problem of current interest. Example applications include law enforcement, disaster search-and-rescue, and urban military operations. The purpose is to clearly monitor humans through building walls using a radar system. Doppler-based sensors offer an inexpensive way to detect moving targets in the presence of stationary clutters. It also provides information regarding motions of the human by micro-Doppler returns. In this dissertation, the applications of data-driven model (DDM) are investigated for locating human subjects and classifying their activity using Doppler sensors. DDM is a mathematical model trained by a set of data that describe the input-output relationship. It is suitable for real-time applications. As DDM, an artificial neural network (ANN) and a support vector machine (SVM) are considered. A collection of Doppler sensors is studied to localize humans in two ways: the use of spatially distributed Doppler sensors and the use of a single-sensor array. Furthermore, the feasibility of classifying human activities is studied with the obtained Doppler information. First, an ANN is proposed to track humans using the Doppler information measured by a set of spatially distributed sensors. The ANN estimates the target position and velocity given the observed Doppler data from multiple sensors. A point-scatterer model is used for the training data generation. For the verification of the proposed method, a toy car and a human moving in a circular track are measured in line-of-sight and through-wall environments. Second, an array-processing algorithm is proposed to estimate the number of targets and their Direction-of-Arrival (DOA) based on ANN when the available number of sensor elements is small. Using software beamforming, a number of overlapping beams are simultaneously formed. The received signal strengths from all the beams produce a unique signature in accordance with the target locations, as well as the number of targets. The identification of the number of targets and their locations is carried out sequentially via ANNs. For the verification of the algorithm, both line-of-sight and through-wall measurements are performed using loudspeakers driven by audio tones and moving humans. Third, an SVM is proposed to classify activities of a human subject using the measured Doppler information. MicroDopplers from moving limbs of human subjects contain significant information regarding their activities. Seven different human activities of twelve human subjects are measured in the laboratory using a Doppler radar. Six microDoppler features are extracted from the resulting spectrograms. A decision-tree based SVM is used for the classification of seven activities based on the features. Diverse situations such as combination of different activities, oblique angle case, and through-wall case are also discussed.
Fast passivity verification and enforcement via reciprocal systems for interconnects with large order macromodels
Authors: Dharmendra Saraswat, Ramachandra Achar, Michel S. Nakhla
Venue: IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2007)

With the ever increasing signal speeds, signal integrity issues of high-speed VLSI designs are presenting increasingly difficult challenges for state-of-the-art modeling and simulation tools. Consequently, characterization and passive macromodeling of high-speed modules such as interconnects, vias, and packages based on tabulated data are becoming important. This paper presents a fast algorithm for passivity verification and enforcement of large order macromodels of scattering parameter based multiport subnetworks. Numerous examples tested on this algorithm demonstrate a significant speed-up Compared to the existing algorithms in the literature.
A linguistically annotated reordering model for BTG-based statistical machine translation
Authors: Deyi Xiong, Min Zhang, Aiti Aw, Haizhou Li
Venue: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers (2008)

In this paper, we propose a linguistically annotated reordering model for BTG-based statistical machine translation. The model incorporates linguistic knowledge to predict orders for both syntactic and non-syntactic phrases. The linguistic knowledge is automatically learned from source-side parse trees through an annotation algorithm. We empirically demonstrate that the proposed model leads to a significant improvement of 1.55% in the BLEU score over the baseline reordering model on the NIST MT-05 Chinese-to-English translation task.
Please help!: patterns of personalization in an online tech support board
Authors: Sarita Yardi, Erika Shehan Poole
Venue: Proceedings of the fourth international conference on Communities and technologies (2009)

We analyze help-seeking strategies in two large tech support boards and observe a number of previously unreported differences between tech support boards and other types of online communities. Tech support boards are organized around technical topics and consumer products, yet the types of help people seek online are often grounded in deeply personal experiences. Family, holidays, school, and other personal contexts influence the types of help people seek online. We examine the nature of these personal contexts and offer ways of inferring need-based communities in tech support boards in order to better support users seeking technical help online.
RF and Microwave Applications and Systems, 1st edition
Authors: Mike Golio, Janet Golio
Venue:  (2007)

This volume, RF and Microwave Applications and Systems, includes a wide range of articles that discuss RF and microwave systems used for communication and radar and heating applications. Commercial, avionics, medical, and military applications are addressed. An overview of commercial communications systems is provided. Past, current, and emerging cellular systems, navigation systems, and satellite-based systems are discussed. Specific voice and data commercial systems are investigated more thoroughly in individual chapters that follow. Detailed discussions of military electronics, avionics, and radar (both military and automotive) are provided in separate chapters. A chapter focusing on FR/microwave energy used for therapeutic medicine is also provided. Systems considerations including thermal, mechanical, reliability, power management, and safety are discussed in separate chapters. Engineering processes are also explored in articles about corporate initiatives, cost modeling, and design reviews. The book closes with a discussion of the underlying physics of electromagnetic propagation and interference. In addition to new chapters on WiMAX and broadband cable, nearly every existing chapter features extensive updates and several were completely rewritten to reflect the massive changes areas such as radio navigation and electronic warfare.