ppxscal/embedding_network huggingface dataset:
Supervised and Traditional Term Weighting Methods for Automatic Text Categorization
Authors: Man Lan, Chew Lim Tan, Jian Su, Yue Lu
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)

In vector space model (VSM), text representation is the task of transforming the content of a textual document into a vector in the term space so that the document could be recognized and classified by a computer or a classifier. Different terms (i.e. words, phrases, or any other indexing units used to identify the contents of a text) have different importance in a text. The term weighting methods assign appropriate weights to the terms to improve the performance of text categorization. In this study, we investigate several widely-used unsupervised (traditional) and supervised term weighting methods on benchmark data collections in combination with SVM and kNN algorithms. In consideration of the distribution of relevant documents in the collection, we propose a new simple supervised term weighting method, i.e. tf.rf, to improve the terms' discriminating power for text categorization task. From the controlled experimental results, these supervised term weighting methods have mixed performance. Specifically, our proposed supervised term weighting method, tf.rf, has a consistently better performance than other term weighting methods while other supervised term weighting methods based on information theory or statistical metric perform the worst in all experiments. On the other hand, the popularly used tf.idf method has not shown a uniformly good performance in terms of different data sets.
Strategy of approach for seizure of an assistive mobile manipulator
Authors: K. Nait-Chabane, S. Delarue, P. Hoppenot, E. Colle
Venue: Robotics and Autonomous Systems (2009)

In assistive robotics, a manipulator arm constitutes one possible solution for restoring some manipulation functions to victims of upper limb disabilities. The aim of this paper is to present a global strategy of approach of an assistive mobile manipulator (manipulator arm mounted on a mobile base). A manipulability criterion is defined to deal with the redundancy of the system. The aim is to keep the arm manipulable, i.e. capable of moving by itself. The strategy is based on human-like behaviour to help the disabled operator to understand the action of the robot. When the robot is far from its objective, only the mobile base moves, thus avoiding obstacles if necessary. When the objective is close to the robot, both mobile base and arm move and redundancy can be used to maximise a manipulability criterion. All the situations are tested separately and a global mission is realised in which all the previous situations are encountered. The partial results obtained with the real robot consolidate the results of simulation. This paper does not propose an autonomous path planning and navigation of the mobile arm but an assistance to the user for remote controlling it.
A sampling approach for XML query selectivity estimation
Authors: Cheng Luo, Zhewei Jiang, Wen-Chi Hou, Feng Yu, Qiang Zhu
Venue: Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology (2009)

As the Extensible Markup Language (XML) rapidly establishes itself as the de facto standard for presenting, storing, and exchanging data on the Internet, large volume of XML data and their supporting facilities start to surface. A fast and accurate selectivity estimation mechanism is of practical importance because selectivity estimation plays a fundamental role in XML query optimization. Recently proposed techniques are all based on some forms of structure synopses that could be time-consuming to build and not effective for summarizing complex structure relationships. In this research, we propose an innovative sampling method that can capture the tree structures and intricate relationships among nodes in a simple and effective way. The derived sample tree is stored as a synopsis for selectivity estimation. Extensive experimental results show that, in comparison with the state-of-the-art structure synopses, specifically the TreeSketch and Xseed synopses, our sample tree synopsis applies to a broader range of query types, requires several orders of magnitude less construction time, and generates estimates with considerably better precision for complex datasets.
An authoring tool for urban audio tours with animated maps
Authors: Ken'ichi Tsuruoka, Masatoshi Arikawa
Venue: Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology (2008)

Podcasts are getting popular as a new type of radio or television for mobile media players. The Podcasts are often free. Anyone can also easily publicize Podcasts like Blog on the Internet. People can choose and listen to their intended Podcasts at anytime and at any place without using any mobile telecommunication services. PodWalk is a new kind of Podcast which has been designed for guiding real spaces such as towns and museums while walking. One of the disadvantages of PodWalks is its difficulty for listeners in synchronizing their locations with narrators' ones. Listeners often get lost and cannot synchronize with narrators' locations. To solve the problem of listeners' losing their ways in PodWalks, we propose a new framework maPodWalks as an extension of PodWalks to provide egocentric mappings synchronized with narrations on mobile media players. We have developed a new authoring tool for user-generated maPodWalks.
Coupling control and human factors in mathematical models of complex systems
Authors: Roderick V. N. Melnik
Venue: Engineering Applications of Artificial Intelligence (2009)

It is known that with the increasing complexity of technological systems that operate in dynamically changing environments and require human supervision or a human operator, the relative share of human errors is increasing across all modern applications. This indicates that in the analysis and control of such systems, human factors should not be eliminated by conventional formal mathematical methodologies. Instead, they must be incorporated into the modelling framework. In this paper we analyse mathematically how such factors can be effectively incorporated into the analysis and control of complex systems. As an example, we focus our discussion around one of the key problems in the intelligent transportation systems (ITS) theory and practice, the problem of speed control, considered here as a decision making with limited information available. The problem is cast mathematically in the general framework of control problems and is treated in the context of dynamically changing environments where control is coupled to human factors. Since in this case control might not be limited to a small number of control settings, as it is often assumed in the control literature, serious difficulties arise in the solution of this problem. We demonstrate that the problem can be reduced to a set of Hamilton-Jacobi-Bellman equations where human factors are incorporated via estimations of the system Hamiltonian. In the ITS context, these estimations can be obtained with the use of on-board equipment like sensors/receivers/actuators, in-vehicle communication devices, etc. The proposed methodology provides a way to integrate human factors into the solving process of the models for other complex dynamic systems.
Non-intrusive performance management for computer services
Authors: Magnus Karlsson, Christos Karamanolis
Venue: Proceedings of the ACM/IFIP/USENIX 2006 International Conference on Middleware (2006)

Networked computer services are increasingly hosted on shared consolidated physical resources (servers, storage, network) in data centers. Thus, some form of resource control is required to ensure contractual performance targets for service customers under dynamic workload and system conditions. This paper proposes a solution for resource control that maximizes the yield of the performance contracts given the available physical resources, while it does not require any modifications to the clients' and the computing services' software or hardware. Our approach achieves this by manipulating the flow of requests into the service by using one or more proxies between the clients and the service. This paper evaluates Proteus, a prototype implementation of the proposed approach, on two different services: a 3-tier e-commerce system and a networked file service. We show that existing proxies for the two respective protocols (HTTP and NFS RPC) can easily be modified to use Proteus to schedule their requests. Once the modified proxies have been deployed, our approach is transparent to clients and services. Moreover, we show that, in contrast to prior art, our solution (1) is stable when workloads and systems change, (2) automatically tunes itself to different services, (3) can enforce flexible quality of service specifications, and (4) correctly detects and reacts to contention of internal service resources.
Graduate education in computer science and its relationship to industry
Authors: M. C. Yovits
Venue: Proceedings of the May 19-22, 1975, national computer conference and exposition (1975)

There are a number of different focal points which characterize various graduate programs in computer science. Some of these programs are theoretical and mathematically oriented. Some programs are organized around management or business applications, some around computer systems, some around information storage and retrieval, and so forth. Many examples of these and other orientations for graduate computer science programs can easily be provided.
Project teaming: Knowledge-intensive design for composing team members
Authors: Yu-Liang Chi, Chung-Yang Chen
Venue: Expert Systems with Applications: An International Journal (2009)

Enterprises frequently use project teams to perform various tasks. In a human-centered, highly collaborative environment, the importance of teamwork exceeds that of individual skill. Appropriate team composition is crucial to the success of ad-hoc teamwork, yet optimizing team composition is challenging. This study utilizes knowledge-intensive approaches to build project teaming models into ontologies. Furthermore, it helps develop a set of logic rules for identifying semantic relationships between individuals. By following a knowledge-base creation process, the factual data of project, workers, and teaming factors can be inserted into ontologies. Based on knowledge inference, reliable knowledge bases are established for selecting project team members in runtime. A case study is presented to demonstrate the effectiveness of the proposed design. Experimental lessons demonstrate that combining rules with ontological knowledge bases not only serves team composition needs, but also achieves knowledge base durability and system reliability.
AMA: a new approach for solving constrained real-valued optimization problems
Authors: Abu S. S. M. Barkat Ullah, Ruhul Sarker, David Cornforth, Chris Lokan
Venue: Soft Computing - A Fusion of Foundations, Methodologies and Applications (2009)

Memetic algorithms (MA) have recently been applied successfully to solve decision and optimization problems. However, selecting a suitable local search technique remains a critical issue of MA, as this significantly affects the performance of the algorithms. This paper presents a new agent based memetic algorithm (AMA) for solving constrained real-valued optimization problems, where the agents have the ability to independently select a suitable local search technique (LST) from our designed set. Each agent represents a candidate solution of the optimization problem and tries to improve its solution through co-operation with other agents. Evolutionary operators consist of only crossover and one of the self-adaptively selected LSTs. The performance of the proposed algorithm is tested on five new benchmark problems along with 13 existing well-known problems, and the experimental results show convincing performance.
Cold boot attack tools for Linux
Authors: Kyle Rankin
Venue: Linux Journal (2009)

Use open-source tools to dump and scan RAM from a target system for encyption keys and other goodies.
Chernoff-Type Direct Product Theorems
Authors: Russell Impagliazzo, Ragesh Jaiswal, Valentine Kabanets
Venue: Journal of Cryptology (2008)

Consider a challenge-response protocol where the probability of a correct response is at least &#x03b1; for a legitimate user and at most &#x03b2;<&#x03b1; for an attacker. One example is a CAPTCHA challenge, where a human should have a significantly higher chance of answering a single challenge (e.g., uncovering a distorted letter) than an attacker; another example is an argument system without perfect completeness. A natural approach to boost the gap between legitimate users and attackers is to issue many challenges and accept if the response is correct for more than a threshold fraction, for the threshold chosen between &#x03b1; and &#x03b2;. We give the first proof that parallel repetition with thresholds improves the security of such protocols. We do this with a very general result about an attacker&#x2019;s ability to solve a large fraction of many independent instances of a hard problem, showing a Chernoff-like convergence of the fraction solved incorrectly to the probability of failure for a single instance.
A Fibration Category of Local Pospaces
Authors: Thomas Kahl
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

L. Fajstrup, E. Goubault, and M. Raussen have introduced local pospaces as a model for concurrent systems. In this paper it is shown that the category of local pospaces under a fixed local pospace is a fibration category in the sense of H. Baues. The homotopy notion in this fibration category is relative directed homotopy.
Comparison of Grapheme and Phoneme Based Acoustic Modeling in LVCSR Task in Slovak
Authors: Michal Mirilovič, Jozef Juhár, Anton Čižmár
Venue: Multimodal Signals: Cognitive and Algorithmic Issues: COST Action 2102 and euCognition International School Vietri sul Mare, Italy, April 21-26, 2008 Revised Selected and Invited Papers (2009)

Phonemes and allophones are the basic speech units for acoustic modeling in the majority of contemporary HMM based speech recognizers. Grapheme-based acoustic sub-word units were applied to multi-lingual and cross-lingual acoustic modeling in many tasks. Grapheme and phoneme based mono-, cross- and bilingual speech recognition of Czech and Slovak in the small and medium vocabulary task has been studied in our previous work. In this article we compare grapheme and phoneme based approach to acoustic modeling and model unit selection in large vocabulary continuous speech recognition (LVCSR) task in Slovak. The main goal of our experimental work is to investigate a possibility to select an optimal set of sub-word units for Slovak LVCSR system.
A compressed trie structure using divided keys
Authors: Masaki Oono, El-Sayed Atlam, Masao Fuketa, Kazuhiro Morita, Jun-ichi Aoe
Venue: International Journal of Computer Applications in Technology (2009)

A link-trie structure is an efficient data structure for collocation information using a trie structure. The link-trie stores two basic words into the trie and defines link-information by a link-function. This paper presents how to apply the link-trie into a general set of keys and compress the storage capacity. The method divides a key into several sub-keys and defines link-information between these sub-keys. From simulation results for 100,000 keys, it turns out that the presented method compresses the storage capacity by 30% smaller than the normal trie.
Power Dissipation Associated to Internal Effect Transitions in Static CMOS Gates
Authors: Alejandro Millan, Jorge Juan, Manuel J. Bellido, David Guerrero, Paulino Ruiz-De-Clavijo, Julian Viejo
Venue: Integrated Circuit and System Design. Power and Timing Modeling, Optimization and Simulation: 18th International Workshop, PATMOS 2008, Lisbon, Portugal, September 10-12, 2008. Revised Selected Papers (2009)

Power modeling techniques have traditionally neglected the main part of the energy consumed in the internal nodes of static CMOS gates: the power dissipated by input transitions that do not produce output switching. In this work, we present an experimental set-up that shows that this power component may contribute up to 59% of the total power consumption of a gate in modern technologies. This fact makes very important to include it into any accurate power model.
Architecture of Virtual Instrumentation and Its Exploration through Implementation of CAB Test Automation, VoCODER, ECG and QAM
Authors: S. Mohan Mahalakshmi Naidu, Abhishek Shukla
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

The evolution and pervasiveness of PCs as cost-effective computing platforms and with more powerful software tools, has resulted in a virtual explosion in data acquisition, signal processing and control systems from laboratory to industry including field applications. PC based instrumentation has given new dimensions to the field of measurement and control. Concept of virtual instrumentation (VI) is seen through the Advanced PC based instrumentation, exploration of virtual instrumentation architecture helps in better implementation of complex tasks of current challenges in automation. This paper presents detailed architecture of virtual instrumentation and explore the same through implementation of CAB Test automation, VoCODER, ECG and QAM tasks and LabVIEW® have been used for programming purpose. The presented architecture is a generalized approach which can be adapted towards real time implementation of other industrial applications on VI platform.
Apache OFBiz Development: The Beginner's Tutorial
Authors: Rupert Howell
Venue:  (2008)

Written by two leading OFBiz consultants, this hands-on tutorial guides newcomers through the basics of Apache Open For Business, walking them through the creation and customization of real-world business applications. This book is for developers who want to build easily deployed and supported OFBiz applications. No previous knowledge of OFBiz is assumed, but readers should be comfortable in a Java development environment.
An indirect workforce (re)allocation model for semiconductor manufacturing
Authors: Chen-Fu Chien, Wen-Chih Chen, Shao-Chung Hsu
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

Semiconductor industry is a capital intensive and knowledge intensive industry, in which human resource management and human capital enhancement is increasingly important. To maintain competitive human resource, it is critical to develop a decision framework for headcount planning and workforce allocation for indirect labors. Motivated by the needs in real setting, this study aims to develop a model for allocating indirect workforce among semiconductor fabrication facilities to meet expected outputs and labor productivity improvement. Workforce allocation and reallocation based on the overall corporate workforce level is essential so that the shortage or exceed workforce will be balanced among different production sites. The key to achieve this purpose is the proper understanding of real requirements of each production site according to its corresponding tasks assigned. Non-parametric activity analysis approach is used for the workforce requirement estimation given delegated tasks. The estimation is based on the best performance from the past with adjustments reflecting the expected productivity growth.
Compressive sensing for multi-static scattering analysis
Authors: Lawrence Carin, Dehong Liu, Wenbin Lin, Bin Guo
Venue: Journal of Computational Physics (2009)

Compressive sensing (CS) is a framework in which one attempts to measure a signal in a compressive mode, implying that fewer total measurements are required vis a vis direct sampling methods. Compressive sensing exploits the fact that the signal of interest is compressible in some basis, and the CS measurements correspond to projections (typically random projections) performed on the basis function coefficients. In this paper, we demonstrate that ideas from compressive sensing may be exploited in the context of electromagnetic modeling, here multi-static scattering from an arbitrary target. In this context, the computational analysis may be viewed as a numerical experiment, and ideas from compressive sensing may be used to reduce the number of computations required for target characterization. It is demonstrated that the compressive sensing framework may be applied with relatively minor modifications to many existing numerical models, with examples presented here for a fast-multipole computational engine.
Grid Method for Solving the Flow of Traffic Problem on the Highway in a Class of Discontinuous Functions
Authors: Mahir Rasulov, Kenan Gocer
Venue: Numerical Analysis and Its Applications: 4th International Conference, NAA 2008, Lozenetz, Bulgaria, June 16-20, 2008. Revised Selected Papers (2009)

In this paper a new method for obtaining an exact and numerical solution of initial value problem for a first order nonlinear partial equation which describes the traffic flow on highway in a class of discontinuous functions is developed. For this goal, at first, the special auxiliary problem having some advantages over the main problem has been suggested and using the solution of the auxiliary problem an original method for finding the weak solution of the main problem has been suggested. Using the advantages of the auxiliary problem the new numerical method for obtaining a solution which expresses the all physical properties accurately is purposed, too.
Virtual world teaching, experiential learning, and assessment: An interdisciplinary communication course in Second Life
Authors: Leslie Jarmon, Tomoko Traphagan, Michael Mayrath, Avani Trivedi
Venue: Computers Education (2009)

While many reports espouse the potential impact that 3-D virtual worlds are expected to have on teaching and learning in higher education in a few years, there are few empirical studies that inform instructional design and learning assessment in virtual worlds. This study explores the nature and process of learning in Second Life in a graduate interdisciplinary communication course in fall 2007. Literature suggests that 3-D virtual worlds can be well suited for experiential learning environments. In this study, the actual instructional effectiveness of Second Life as an experiential learning environment for interdisciplinary communication is empirically examined using mixed research methods of journal content analysis, surveys, focus group, and virtual world snapshots and video.
Minimal canonical comprehensive Gröbner systems
Authors: Montserrat Manubens, Antonio Montes
Venue: Journal of Symbolic Computation (2009)

This is the continuation of Montes' paper ''On the canonical discussion of polynomial systems with parameters''. In this paper, we define the Minimal Canonical Comprehensive Grobner System of a parametric ideal and fix under which hypothesis it exists and is computable. An algorithm to obtain a canonical description of the segments of the Minimal Canonical CGS is given, thus completing the whole MCCGS algorithm (implemented in Maple and Singular). We show its high utility for applications, such as automatic theorem proving and discovering, and compare it with other existing methods. A way to detect a counterexample to deny its existence is outlined, although the high number of tests done give evidence of the existence of the Minimal Canonical CGS.