ppxscal/embedding_network huggingface dataset:
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Authors: Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo
Venue: Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence (2008)

Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noise-free data while some of them are better than others on noisy data. But in reality, ensemble methods that can consistently gain good performance in situations with or without noise are more desirable. In this paper, we propose a new method namely MTForest, to ensemble decision tree learning algorihms by enumerating each input attribute as extra task to introduce different additional inductive bias to generate diverse yet accurate component decision tree learning algorithms in the ensemble. The experimental results show that in situations without classification noise, MTForest is comparable to Boosting and Random Forest and significantly better than Bagging, while in situations with classification noise, MTForest is significantly better than Boosting and Random Forest and is slightly better than Bagging. So MTForest is a good choice for ensemble decision tree learning algorithms in situations with or without noise. We conduct the experiments on the basis of 36 widely used UCI data sets that cover a wide range of domains and data characteristics and run all the algorithms within the Weka platform.
Concurrent workload mapping for multicore security systems
Authors: Benfano Soewito, Ning Weng
Venue: Concurrency and Computation: Practice Experience (2009)

Multicore based network processors are promising components to build real-time and scalable security systems to protect the networks and systems. The parallel nature of the processing system makes it challenging for application developers to concurrently program security systems for high performance. In this paper we present an automatic programming methodology that considers application complexity, traffic variation, and attack signatures update. In particular, our mapping algorithm concurrently takes advantage of parallelism in the level of tasks, applications, and packets to achieve optimal performance. We present results that show the effectiveness of the analysis, mapping, and the performance of the model methodology. Copyright &copy; 2009 John Wiley & Sons, Ltd.
Design and Implementation of an Agent-Based Middleware for Context-Aware Ubiquitous Services
Authors: Hideyuki Takahashi, Yoshikazu Tokairin, Takuo Suganuma, Norio Shiratori
Venue: Proceeding of the 2005 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the fourth SoMeT_W05 (2005)

In ubiquitous computing environment, different kinds of system components including hardware elements, software components and network connections are required to cooperate with each other to provide services that fulfill user requirements. This paper proposes an agent-based middleware for ubiquitous environment that consists of computers and home electric appliances. The middleware, called AMUSE, can take QoS (quality of service) in ubiquitous environment into consideration by coping with not only user context but also resource context, using agent-based computing technology. In this paper we describe concept, design and initial implementation of AMUSE. Simulation results of experimental ubiquitous service using AMUSE has been shown to prove the effectiveness of our proposed scheme. Additionally, we show the initial implementation of multimedia communication application based on AMUSE to confirm the feasibility and effectiveness of our scheme.
Inductive semimodules and the vector modules over them
Authors: Feng Feng, Young Bae Jun
Venue: Soft Computing - A Fusion of Foundations, Methodologies and Applications (2009)

The notion of an inductive semimodule over an ordered *-semiring is introduced and some related properties are investigated. Inductive semimodules are extensions of several important algebraic structures such as Kleene modules, Kleene algebras and inductive *-semirings. We prove that an inductive semimodule over an ordered *-semiring K is a Kleene module if and only if K is a Kleene algebra. Moreover, we establish that the vector module of an inductive semimodule over an ordered Conway semiring is again an inductive semimodule over the matrix semiring. Consequently, in an inductive semimodule over an ordered Conway semiring, least solutions to linear inequation systems can be denoted by linear expressions, avoiding the least fixed point operator. In addition, we also introduce a related notion called weak inductive semimodules, and propose several open problems on them.
Integrating facial expressions and skin texture in face recognition
Authors: Venugopal Govindaraju
Venue:  (2008)

Face recognition is the most common biometric modality in use today. In this thesis, we have investigated two new aspects of face recognition, namely the use of skin marks as an additional biometric trait and the use of facial expressions both as a biometric as well as a behavior indicator. Most of the current face recognition systems, such as Eigenfaces, Fisherfaces, and Active Appearance Models are designed to process faces holistically. These methods cannot adequately model the local features such as moles, and scars. We have developed an algorithm for facial skin mark detection based on modeling the local skin patches using Principal Component Analysis (PCA). We have also explored different ways of calculating distances between the original patches and PCA models for this purpose. Most of the behavioral science research on facial expression analysis operates within the framework of the Facial Action Coding System (FACS). FACS is a quantitative system for measuring all visible facial muscle movement and is thus ideal for identifying unique individual patterns in movement. We have developed a system that extracts the AUs automatically and have tested the hypothesis&mdash;facial expressions can be used as features for person identification and thereby augment face biometrics. We use the displacement of face landmark points extracted from the neutral face and the face expression at its 'emotional apex' (instead of using a video sequence as in previous work) to construct a single feature vector having that particular expression. Genuine and impostor distributions are constructed accordingly for pairs of same people and different people with same and different expressions. We have conducted experiments on the publicly available Cohn-Kanade Facial Expression Database and verified if the distributions of genuine and impostor match scores are different by using the Wilcoxon rank sum test. We have also developed methods that automatically classify facial expressions (sad, happy, anger, etc.) based on the extracted AUs and distinguishing between those expressions which arise involuntarily through natural emotions and those that are "posed". This latter classification is based on behavioral science guidelines that "posed" expressions are distinguishable by examination of characteristics such as expression symmetry and presence of the right combination of AUs.
Llaüt: Fuzzy Logic Based Selective Bot
Authors: Rut Garí, Ricardo Galli, Llorenç Valverde, Juan Fornés
Venue: Proceeding of the 2005 conference on Artificial Intelligence Research and Development (2005)

We introduce Llaüt, a prototype of a system to build a neighbourhood network of domains that are economic and socially related to a geographic region. For our study we require to build a network of domains that belong to Balearic Islands people, companies, organisations and local administration. Llaüt is composed of two major modules: a bot that retrieves html pages from Internet and a fuzzy logic module that decides the inclusion of new candidate domains. A small initial set of domains that accomplish similar constraints, the kernel, is given to the system. Every time the bot finds a new domain it calls to the fuzzy logic module to make a decision. The kernel is grown by adding those domains that are accepted by this module. This paper provides a description of Llaüt current state and some results obtained from different initial kernels. Moreover, an in-depth description of the fuzzy logic techniques is included.
Design of experiments: production of CO2from aquilariella malaccensis woods via pyrolysis-combustion process
Authors: A. Othman, S. K. Kamarudin, Z. Yaakob, S. R. S. Abdullah, A. Zaharim
Venue: Proceedings of the 7th WSEAS international conference on System science and simulation in engineering (2008)

CO2 is the main source used in conventional radiocarbon dating to estimate the age of the archaeological wood. However, the production of CO2 by combustion for conventional radiocarbon dating normally produces minimal amounts of CO2, making it difficult to proceed to subsequent processes. Thus, the objective of this paper is to introduce an integrated-combustion process on degraded wood that will maximize the production of CO2. Karas or Aqualaria Malaccensis was taken as case study. 23 response surface central composite design method was successfully employed for design of experimental (DOE) and analysis of the results. The number of experimental runs was determined using the Design-Expert 6.10.0. Karas wood was studied at different temperatures in a horizontal laboratory tubular quartz reactor. The effect of temperature, concentration of inert gas supplied during pyrolysis reaction and residence time taken during the production of CO2 from thermal and oxidative reactions were studied. The woods were pyrolysed in a thermogravimetry analyser (TGA) at different heating rates for the active pyrolysis occurrence. From the TGA results, it were observed that at lower temperature regime (less than 3000C) decompositon of wood, mainly H2O, CO2 and CO were evolved and at higher temperature regime, the main decomposition products were oil, H2O, hydrocarbon gases and lower concentration of CO and CO2. The results indicated that the production of CO2 increased with the continuous supply of oxygen at high temperature of pyrolysis and high flow rates of argon within a short period of residence time.
Supporting Interactive and Collaborative Product Configuration for Internet Commerce
Authors: Ruby K. Y. Cheng, Stephen C. F. Chan, Vincent T. Y. Ng
Venue: Proceeding of the 2006 conference on Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering (2006)

Customers nowadays commonly select product and make purchases on the internet. In the process they often want to make limited changes to the configuration of the product, perhaps in collaboration or consultation with a product support engineer. Currently very few e-commerce applications can provide such flexibility to the customers. This paper describes the design and implementation of such a system. The collaboration agent, Co-assembler, enables casual customers and designers to design and perform configurations of 3D products collaboratively over the internet. Clients using Co-assembler through a Java enabled web browser have been developed using platform independent Java language which can run the application everywhere. A three-tier client-server approach facilitates communication between clients and server.
Application of high frequency ground wave radar to detect the targets of variable acceleration
Authors: Gui Renzhou, Robert Weigel
Venue: Proceedings of the 2nd conference on European computing conference (2008)

Firstly, a more proper hypothesis in which the velocity and acceleration of target are treated as time-varying is indicated, the hypothesis is different with the conventional hypothesis in the fact: the velocity of target in the coherent integration time is invariable in utilizing High Frequency Ground Wave Radar(HFGWR) to detect target. Secondly, we treat the acceleration of target as invariable within the small fraction of coherent integration time, and analyze the model of echo signal in the special hypothesis. Comparing to Short-time Fourier Transform and Wigner-Ville Distribution, the method of time-frequency analysis based on chirplets signal decomposition can improve the time and frequency resolution simultaneously and solve the cross-term problem. The small fraction of coherent integration time with the chirplets signal is decomposed. Then ocean clutter can be suppressed with neural network classifier which is construted with the differences between target signal and ocean clutter echo. With the method of the nearest correlation, we compose the different fractions of coherent integration time together. Lastly, through the result of processing the actual data, the feasibility of the method is proved.
On random sampling auctions for digital goods
Authors: Saeed Alaei, Azarakhsh Malekian, Aravind Srinivasan
Venue: Proceedings of the tenth ACM conference on Electronic commerce (2009)

In the context of auctions for digital goods, an interesting Random Sampling Optimal Price auction (RSOP) has been proposed by Goldberg, Hartline and Wright; this leads to a truthful mechanism. Since random sampling is a popular approach for auctions that aims to maximize the seller's revenue, this method has been analyzed further by Feige, Flaxman, Hartline and Kleinberg, who have shown that it is 15-competitive in the worst case -- which is substantially better than the previously proved bounds but still far from the conjectured competitive ratio of 4. In this paper, we prove that RSOP is indeed 4-competitive for a large class of instances in which the number λ of bidders receiving the item at the optimal uniform price, is at least 6. We also show that it is 4.68 competitive for the small class of remaining instances thus leaving a negligible gap between the lower and upper bound. Furthermore, we develop a robust version of RSOP -- one in which the seller's revenue is, with high probability, not much below its mean -- when the above parameter λ grows large. We employ a mix of probabilistic techniques and dynamic programming to compute these bounds.
Generalized XML security views
Authors: Gabriel Kuper, Fabio Massacci, Nataliya Rassadko
Venue: International Journal of Information Security (2009)

We investigate a generalization of the notion of XML security view introduced by Stoica and Farkas (Proceedings of the 16th International Conference on Data and Applications Security (IFIP&#x2019;02). IFIP Conference Proceedings, vol. 256, pp. 133&#x2013;146. Kluwer, Dordrecht, 2002) and later refined by Fan et al. (Proceedings of the ACM SIG- MOD International Conference on Management of Data (SIGMOD&#x2019;04), pp. 587&#x2013;598. ACM Press, New York, 2004). The model consists of access control policies specified over DTDs with XPath expressions for data-dependent access control. We provide the notion of security views characterizing information accessible to authorized users. This is a trans- formed DTD schema that can be used by users for query formulation. We develop an algorithm to materialize an authorized version of the document from the view and an algorithm to construct the view from an access control specification. We show that our view construction combined with materialization produces the same result as the direct application of the DTD access specification on the document. We also propose a number of generalizations of possible security policies and show how they affect view construction algorithm. Finally, we provide an evaluation of our system.
Sequential SNP systems based on min/max spike number
Authors: Oscar H. Ibarra, Andrei Pun, Alfonso Rodríguez-Patón
Venue: Theoretical Computer Science (2009)

We consider the properties of spiking neural P (SNP) systems that work in a sequential manner. These SNP systems are a class of computing devices recently introduced as a bridge between spiking neural nets and membrane computing. The general sequentiality of these systems was considered previously; now we focus on the sequentiality induced by the spike number: at each step, the neuron with the maximum (or minimum) number of spikes among the neurons that are active (can spike) will fire. This strategy corresponds to a global view of the whole network that makes the system sequential. We study the properties of this type of a restriction (i.e. considering the case of sequentiality induced by the function maximum defined on numbers of spikes as well as the case of the sequentiality induced by the function minimum similarly defined on numbers of spikes). Several universality results are obtained for the cases of maximum and minimum induced sequentiality.
Construction of a General Physical Condition Judgment System Using Acceleration Plethysmogram Pulse-Wave Analysis
Authors: Heizo Tokutaka, Yoshio Maniwa, Eikou Gonda, Masashi Yamamoto, Toshiyuki Kakihara, Masahumi Kurata, Kikuo Fujimura, Li Shigang, Masaaki Ohkita
Venue: Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps (2009)

Among the popular lifestyle-related diseases are smoking, overweight and stress. A daily health check is important because there is no clear objective symptom for these diseases. We developed diagnotic software which shows the state of the blood vessels using a Basic SOM model, and performs synthetic plethysmogram analysis of 4 components using the map location (the state of the blood vessel, vascularity), looseness, pulse/minute, and pulse stability.
Rapid manufacturing of bioceramic&#47;polymer composite implants by selective laser sintering
Authors: L. Hao, M. M. Savalani, R. A. Harris, Y. Zhang, K. E. Tanner
Venue: International Journal of Computer Applications in Technology (2009)

Selective Laser Sintering (SLS), an additive rapid manufacturing technique, is capable of producing the required product directly and automatically from a Three-Dimensional (3D) computer model representation. SLS has been selected to build implant and scaffold structures using composite materials consisting of a polymer and a bioactive ceramic. HydroxyApatite (HA), a bioceramic that encourages bone apposition, can be combined with High Density PolyEthylene (HDPE), a biocompatible polymer, to form a material with appropriate stiffness, toughness and bioactivity for use in the body. A miniature SLS system was built to minimise the usage of the expensive experimental material. It was used to determine the CO&lt;SUP align=right&gt;2&lt;/SUP&gt; laser sintering operation window of the HA&#47;HDPE composites and to investigate the effect of the process parameters on the surface morphology of the sintered HA&#47;HDPE layer. The potential of SLS for the rapid manufacture of customised implants using HA&#47;HDPE composite is demonstrated by the sintering of a five-layer HA-HDPE block.
Towards Foundational SemanticsOntological Semantics Revisited
Authors: Philipp Cimiano, Uwe Reyle
Venue: Proceeding of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006) (2006)

In line with Nirenburg and Raskin's paradigm of ontological semantics, we adhere to the basic tenet that natural language semantics needs to be captured with respect to an explicitly formalized ontology. Many researchers in computational semantics, however, have neglected the ontological aspects of meaning representation, and even more have neglected aspects of meaning representation related to domain-independent ontologies, i.e. foundational or upper-level ontologies. In this paper we argue for a stronger integration of foundational ontologies in computational semantics. We show that relying on foundational ontologies can, on the one hand, lead to a clean separation between domain-specific and domain-independent components of natural language processing systems. On the other hand, we show how the interplay between foundational, domain ontologies and lexical semantics resources can elegantly account for disambiguation as well as allow to draw non-trivial inferences. Further, a temporal theory compliant with the foundational ontology is absolutely necessary for supporting temporal reasoning in natural language understanding.
A Study of Innovative Uses of ICT in Primary Education
Authors: Shelley S. -C. Young, Hsin-Ho Ku
Venue: Proceeding of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding (2006)

The purpose of this study was to explore the innovative uses of ICT in the Taiwan Schools Cyberfair as a means to enhance student learning in an extra curricular setting. Four winning groups in the Taiwan Schools Cyberfair, containing forty-eight subjects, were purposefully selected for study. Significantly, three innovative collaborative learning models for applying ICTs in Project-based learning (PBL) mode have been identified. In addition, some specific issues relating to PBL are discussed in the conclusion for reference.
Using automatically transcribed dialogs to learn user models in a spoken dialog system
Authors: Umar Syed, Jason D. Williams
Venue: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers (2008)

We use an EM algorithm to learn user models in a spoken dialog system. Our method requires automatically transcribed (with ASR) dialog corpora, plus a model of transcription errors, but does not otherwise need any manual transcription effort. We tested our method on a voice-controlled telephone directory application, and show that our learned models better replicate the true distribution of user actions than those trained by simpler methods and are very similar to user models estimated from manually transcribed dialogs.
Cardiac Motion Estimation from Intracardiac Electrical Mapping Data: Identifying a Septal Flash in Heart Failure
Authors: Oscar Camara, Steffen Oeltze, Mathieu Craene, Rafael Sebastian, Etel Silva, David Tamborero, Lluis Mont, Marta Sitges, Bart H. Bijnens, Alejandro F. Frangi
Venue: Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart (2009)

In this paper, we present a methodology to estimate cardiac motion directly from the high resolution temporal data provided by an intra-cavity electrical mapping system (CARTO). These data consist in intracardiac electrical measurements, obtained invasively through the contact of a catheter with the endocardial wall at different locations, with simultaneous recording of the position of the measuring catheter over time. The 3D displacement fields between the different timepoints obtained from the position measurements are projected onto the vector pointing from the CARTO points to the centroid of the CARTO cloud, giving a very intuitive vectorial coarse representation of the diastolic and systolic motion. Furthermore, scalar projection 1D curves can be used to identify specific motion patterns. We have applied the proposed methodology to the CARTO acquisitions of nine candidates to cardiac resynchronization therapy, identifying the specific sequence of motion and deformation (septal flash) found in LBBB, which was confirmed by visual inspection of the corresponding MR and 3D-US images.
A new approach for scheduling independent tasks with multiple modes
Authors: Massimiliano Caramia, Stefano Giordani
Venue: Journal of Heuristics (2009)

Heuristic algorithms for scheduling tasks with multiple modes and minimizing the schedule length involve in general two distinct phases, task mode assignment and then task scheduling. We propose a novel approach where these two features are managed in an integrated mechanism with mode assignment embedded in scheduling. The problem is first reformulated as a special single-mode task scheduling problem, and then is modeled as a graph interval T-coloring. Finally, a tabu-like metaheuristic is proposed for this latter graph coloring problem, and the performance of our approach is compared to known multi-mode scheduling heuristics.