ppxscal/embedding_network huggingface dataset:
Semantic Web Programming
Authors: John Hebeler, Matthew Fisher, Ryan Blace, Andrew Perez-Lopez
Venue:  (2009)

The next major advance in the Web?Web 3.0?will be built on semantic Web technologies, which will allow data to be shared and reused across application, enterprise, and community boundaries. Written by a team of highly experienced Web developers, this book explains examines how this powerful new technology can unify and fully leverage the ever-growing data, information, and services that are available on the Internet. Helpful examples demonstrate how to use the semantic Web to solve practical, real-world problems while you take a look at the set of design principles, collaborative working groups, and technologies that form the semantic Web. The companion Web site features full code, as well as a reference section, a FAQ section, a discussion forum, and a semantic blog.
Finite state automata representing two-dimensional subshifts
Authors: Nataa Jonoska, Joni B. Pirnot
Venue: Theoretical Computer Science (2009)

A new type of two-dimensional automaton has been defined to recognize a class of two-dimensional shifts of finite type having the property that every admissible block found within the related local picture language can be extended to a point of the subshift. Here it is shown that this automaton accurately represents the image of the represented two-dimensional shift of finite type under a block code. It is then shown that these automata can be used to check for a certain type of two-dimensional transitivity in the factor language of the corresponding shift space and how this relates to periodicity in the two-dimensional case. The paper closes with a notion of ''follower sets'' that are used to reduce the size of the automata representing two-dimensional sofic shifts.
Motor Activity-Perception Based Approach for Improving Teleoperation Systems
Authors: Ryad Chellali, Fabien Dionnet, Abdeldjallil Naceri
Venue: Proceedings of the Third IEEE International Conference on Space Mission Challenges for Information Technology (2009)

This paper reports on studies we are conducting to evaluate 3D stereoscopic rendering systems accuracy and efficiency. These studies are part of our project dealing with tele-operation, namely the use of virtual reality technology to increase immersion feeling of teleoperators and to test specific conditions by changing the feeled physical laws. We concentrate on depth perception because it has been shown to be a major factor for simple motor actions like navigation tasks or for complex and dexterous manipulation tasks. We present our stereoscopic rendering system and the methodology we developed to assess it and validate its efficiency in delivering the right stimulations to perceive accurately virtual worlds in 3D. We discuss also its potential use in worlds where physics (gravity forces, viscosity, etc.) aren't conventional.
FBK-irst: lexical substitution task exploiting domain and syntagmatic coherence
Authors: Claudio Giuliano, Alfio Gliozzo, Carlo Strapparava
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

This paper summarizes FBK-irst participation at the lexical substitution task of the Semeval competition. We submitted two different systems, both exploiting synonym lists extracted from dictionaries. For each word to be substituted, the systems rank the associated synonym list according to a similarity metric based on Latent Semantic Analysis and to the occurrences in the Web 1T 5-gram corpus, respectively. In particular, the latter system achieves the state-of-the-art performance, largely surpassing the baseline proposed by the organizers.
Mid-air display experiments to create novel user interfaces
Authors: Ismo Rakkolainen, Tobias Höllerer, Stephen Diverdi, Alex Olwal
Venue: Multimedia Tools and Applications (2009)

Displays are the most visible part of most computer applications. Novel display technologies strongly influence and inspire new forms of computer use and interaction. We are particularly interested in the interplay of novel displays and interaction for ubiquitous computing or ambient media environments, as emerging display technologies may become game-changers in how we define and use computers, possibly changing the context of computing fundamentally.We present some of our experiments and lessons learnt with a new category of displays, the "immaterial" FogScreen. It can be described as a novel media platform, exhibiting some fundamental differences to and advantages over other displays. It also enables novel kinds of user interfaces and experiences. In this paper we give insights about the special properties and strengths of the FogScreen by looking at a set of successfully demonstrated interfaces and applications. We also discuss its future potential for user interface design.
Ocean Primary Production in China Shelf Sea Estimated with SeaWiFS and MODIS
Authors: Pifu Cong, Limei Qu, Zheng Niu
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Ocean primary production (OPP) is an important indicator of ocean ecological system. The spatial and temporal pattern of OPP is helpful for global climate change study. Remote sensing has the advantage of dynamic and large-scale information collection. Integration of remote sensing and ecological model is promising for OPP study. The aim of our study is to: 1) choose the suitable coefficient algorithms in models for OPP calculation; 2) provide satellite-derived OPP pattern in China Shelf Sea. We have chosen VGPM (Vertical Generalized Production Model) to estimate OPP for its extensive validation. Some parameters of VGPM were calculated using new algorithms instead. Most of the parameters were estimated using SeaWiFS and MODIS data. The OPP in the China Shelf Sea were estimated using VGPM model. And a simple test was also implemented. The correlation coefficient between in situ OPP and estimated one is over 0.5. OPP variation was also analyzed in China Shelf Sea. The result shows that the OPP model based on the specific chlorophyll algorithm in China sea area can reveal the environment better. This method can provide reference for the large-scale tendency research of OPP in the whole sea area.
Robust Stability of Uncertain Time-Delay Fuzzy Systems with Saturating Actuator
Authors: Yanbin Luo
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

This paper concerns with robust stability analysis of uncertain T-S fuzzy systems with time-delay in state and input saturation. A sufficient condition for stability of time-delay T-S fuzzy systems subject to actuator saturation is first provided, and the problem of estimating the domain of attraction is also formulated. Based on the stability condition, robust stability of uncertain time-delay T-S fuzzy systems subject to actuator saturation is discussed, and the state feedback gain that maximizes the domain of attraction is designed by solving a optimization problem with LMI constraints. A numeric example is given to show the effectiveness of the proposed results. 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
Decide by Information Enthalpy Based on Intelligent Algorithm
Authors: Guo Benjun, Wang Peng, Chen Dongdong, Chen Gaoyun
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

In this paper we make the analysis and research about information theory and thermodynamics which includes the second law of thermodynamics, information theory, and information entropy, while pointing out the interrelation between them and coming with a new physical quantity, the information enthalpy, to communicate thermostatic and information. Finally, we get the conclusion that the change of the information enthalpy equals to the consumed energy of intelligent algorithm. We use the physical quantity to judge the performance of the intelligent algorithm and draw the relevant conclusions of the assessment experiments, which expand the intelligent algorithms based on the researches of the energy characteristics on the algorithm. In addition, the essay achieves new targets and brand-new ways of the intelligent algorithm realization and judgment.
Graph-Based Data Clustering with Overlaps
Authors: Michael R. Fellows, Jiong Guo, Christian Komusiewicz, Rolf Niedermeier, Johannes Uhlmann
Venue: Proceedings of the 15th Annual International Conference on Computing and Combinatorics (2009)

We introduce overlap cluster graph modification problems where, other than in most previous work, the clusters of the target graph may overlap. More precisely, the studied graph problems ask for a minimum number of edge modifications such that the resulting graph consists of clusters (maximal cliques) that may overlap up to a certain amount specified by the overlap number s. In the case of s-vertex overlap, each vertex may be part of at most s maximal cliques; s-edge overlap is analogously defined in terms of edges. We provide a complete complexity dichotomy (polynomial-time solvable vs NP-complete) for the underlying edge modification problems, develop forbidden subgraph characterizations of "cluster graphs with overlaps", and study the parameterized complexity in terms of the number of allowed edge modifications, achieving fixed-parameter tractability results (in case of constant s-values) and parameterized hardness (in case of unbounded s-values).
Exploiting temporal flexibility to obtain high quality schedules
Authors: Nicola Policella, Xiaofang Wang, Stephen F. Smith, Angelo Oddi
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 3 (2005)

We consider a schedule optimization problem where each activity to be scheduled has a duration-dependent quality profile, and activity durations must be determined that maximize overall quality within given deadline and resource constraints. To solve this quality maximization problem, prior work has proposed a hybrid search scheme, where a linear programming solver for optimally setting the durations of temporally related activities is embedded within a larger search procedure that incrementally posts sequencing constraints to resolve resource conflicts. Under this approach, dual concerns of establishing feasibility and optimizing quality are addressed in an integrated fashion. In this paper, we propose an alternative approach, where feasibility and optimization concerns are treated separately: first, we establish a resource-feasible partial order schedule, assuming minimum durations for all activities; second, these fixed duration constraints are relaxed and quality optimal durations are determined, Experimental results indicate a tradeoff: when resource capacity constraints are loose, the integrated hybrid approach performs comparably to the separated scheme. However, in problems with tighter capacity constraints we find that separation of concerns enables both better solving capability and higher quality results. Following from these results, we discuss potential synergy between problem objectives of maintaining temporal flexibility and maximizing quality.
Mining Positive and Negative Fuzzy Multiple Level Sequential Patterns in Large Transaction Databases
Authors: Weimin Ouyang, Qinhua Huang
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

Sequential patterns mining is an important research topic in data mining and knowledge discovery. Traditional algorithms for mining sequential patterns are built on the binary attributes databases, which has three limitations. Firstly, it can not concern quantitative attributes; secondly, only positive sequential patterns are discovered; thirdly, it can not process these data items with multiple level concepts. Mining fuzzy sequential patterns has been proposed to address the first limitation. In this paper, we put forward a discovery algorithm for mining negative multiple level sequential patterns to resolve the second and the third limitations, and a discovery algorithm for mining both positive and negative fuzzy multiple level sequential patterns by combining these three extensions.
Main functionalities of the knowledge practices environment (KPE) affording knowledge creation practices in education
Authors: Lakkala Minna, Paavola Sami, Kosonen Kari, Muukkonen Hanni, Bauters Merja, Markkanen Hannu
Venue: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (2009)

The present paper examines how to develop technology-mediated educational practices from acquisition and participation type approaches towards more sustained, collaborative knowledge creation, where students' work is organized around developing shared epistemic objects (artefacts, processes, practices). Typical forms of technology-mediated collaborative practices in education are illustrated through a framework of 'stairs of collaboration' related to three metaphors of learning: knowledge acquisition, participation and knowledge creation. It is maintained that typical functionalities in existing educational web-technologies, such as various Virtual Learning Environments (VLEs), are quite inflexible and inadequate for shared work on epistemic objects. The main focus in the present paper is on describing how a basic platform supporting collaborative knowledge creation, called Knowledge Practices Environment (KPE), has been built to provide affordances to work around epistemic objects and practices.
Distribution of Antioxidatases in Cell of Diatom Nitzschia Closterium and Response to Different Environmental Silicon Concentrations
Authors: Junrong Liang, Jiang Zheng, Xin Zhao
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

The outbreak mechanism of red tide and the rapid reproducing mechanism of red-tide species are not very clear so far. Diatom is one of the main red tide microalgae species. It can utilize the environmental silicon to biosynthesize its nano-silicon cell wall, so its growth and reproduction are closely related to the absorption and bioaccumulation of environmental silicon. Therefore, study on the response of diatom to the environmental silicon will have important significance in the exploration of the outbreak mechanism of red tide caused by diatom. Antioxidatases have been reported to have close relationship with the accumulation of silicon. Therefore, the present paper studied the distribution of the four antioxidatases--polyphenoloxidase (PPO), superoxide dismutase (SOD), peroxidase (POD) and catalase (CAT) in the diatom Nitzschia closterium, and their response to environmental soluble silicon. The results showed that PPO, SOD and POD were found in the diatom Nitzschia closterium. PPO distributed only in the plasma membrane, POD distributed only in the cytosol, and SOD distributed in both the plasma membrane and the cytosol. But SOD activity in the plasma membrane was much higher than that in the cytosol. After the diatom were cultivated in the low Si culture (10 mg/L), high silicon culture (100 mg/L) and normal silicon culture (30 mg/L, control ) for 12 days respectively, the plasma membranes of the diatom were extracted and purified by two-phase method, and the activities of SOD and PPO were analyzed. The results showed that the two antioxidatases in the low Si culture were not remarkably different from those in the control, but they were significantly inhibited in the high Si culture (p
Prototype selection based on sequential search
Authors: J. A. Olvera-López, J. Fco. Martínez-Trinidad, J. A. Carrasco-Ochoa, J. Kittler
Venue: Intelligent Data Analysis (2009)

In this paper, we propose and explore the use of the sequential search for solving the prototype selection problem since this kind of search has shown good performance for solving selection problems. We propose three prototype selection methods based on sequential search. The main goal of our methods is to reduce the training data without losing too much classification accuracy. Experiments and results are reported showing the effectiveness of the proposed methods and comparing their performance against other prototype selection methods.
CS woes: deadline-driven research, academic inequality
Authors: Jeannette M. Wing, Mark Guzdial
Venue: Communications of the ACM (2009)

The Communications Web site, http://cacm.acm.org, features more than a dozen bloggers in the BLOG@CACM community. In each issue of Communications, we'll publish excerpts from selected posts.Follow us on Twitter at http://twitter.com/blogCACMJeannette M. Wing writes about the negative effects of deadline-driven research and Mark Guzdial discusses the role of computer science faculty in fostering inequality.
Study on Price-Driven Load Balance in Wireless Sensor Network
Authors: Zhong Hui, Qian Zhi-hong, Sun Da-yang, Zhang Ding-guo
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

In this paper, a kind of price-driven load balancing assignment mechanism in wireless sensor network is proposed. A logic price function is set for each node, which serves as a reference for the assignment of data traffic when the node is selecting a router. The price-driven situation is analyzed, and the selection criteria of logic price function are given. When the data is forwarded, the node can affect the selection of traffic assigning nodes via regulating the price function according to the data size. Theoretical analysis and simulation results show that the assignment mechanism proposed can effectively control the load balance between the nodes. Moreover, the price strategy of nodes can be changed dynamically, and the traffic assignment of entire network can be affected using this mechanism.
Design of Jinan City Flood Prevention and Warning Decision-Making Support System Based on SQL Server and GIS
Authors: HaoFang Wang, WenYan Chen, SuLin Song
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

Jinan City flood prevention and warning decision support system based on SQL Server and GIS is to make use of real-time rainfall information, real-time hydrological information, engineering information, danger situations, disaster information as well as the rainfall-runoff model in model database based on SQL Server to simulate the road flood situation, real-time forecast the course of the flood (water level, flow, depth, velocity) and possible submerged condition (the scope of flooding, flood water depth), and through the GIS platform to realize visual image display. Then according to the early-warning levels indexes for blue early-warning, yellow early-warning, orange early-warning and red early-warning respectively to determine the rainfall and flood warning level, and to startup the corresponding warning level. Finally, the flood control decision-making and flood control based on the different flood warning levels of flood control programs of decision-making debase are to be carried out. So the decision support system consists of basis database, spatial database, flood simulation model database, flood early-warning database, flood prevention preparedness database, decision-making database, GIS display and so on. The decision-making system will provide a scientific basis for flood prevention department.
An ASP-Based System for e-Tourism
Authors: Salvatore Maria Ielpa, Salvatore Iiritano, Nicola Leone, Francesco Ricca
Venue: Proceedings of the 10th International Conference on Logic Programming and Nonmonotonic Reasoning (2009)

In this paper we present the IDUM system, a successful application of logic programming to e-tourism. IDUM exploits two technologies that are based on the state-of-the-art ASP system DLV: (i) a system for ontology representation and reasoning, called OntoDLV; and, (ii) H$\imath$L¿X a semantic information extraction tool. The core of IDUM is an ontology which models the domain of the touristic offers. The ontology is automatically populated by extracting the information contained in the touristic leaflets produced by tour operators. A set of specifically devised ASP programs is used to reason on the information contained in the ontology for selecting the holiday packages that best fit the customer needs. An intuitive web-based user interface eases the task of interacting with the system for both the customers and the operators of a travel agency.
Develop a Model Involving Common Features of M-learning Based on an Interactive Model
Authors: Zhuo Jun, Li Fubin, Chen Liangliang
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

Mobile learning is a kind of educational mode, basing on the combination of the emergency of distance education using mobile as well as the blooming of Internet. Anderson had developed an interactive model for m-learning in 2004, on account of which, Wei June, Zhuo Jun and Zhang Hongmei defined the common features that a m-learning system should possess. Nevertheless, the amount of the features is too large to evaluate the performance of a certain m-learning system, as a result we developed a simple model using the result of the factor analysis in the Wei June, Zhuo Jun and Zhang Hongmei’ research, by integrating the features into 15 key factors.
Acquiring visibly intelligent behavior with example-guided neuroevolution
Authors: Bobby D. Bryant, Risto Miikkulainen
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating autonomous agents to operate in the rich environments of modern videogames and computer simulations, it becomes important to devise agent behaviors that display the visible attributes of intelligence, rather than simply performing optimally. Such visibly intelligent behavior is difficult to specify with rules or characterize in terms of quantifiable objective functions, but it is possible to utilize human intuitions to directly guide a learning system toward the desired sorts of behavior. Policy induction from human-generated examples is a promising approach to training such agents. In this paper, such a method is developed and tested using Lamarckian neuroevolution. Artificial neural networks are evolved to control autonomous agents in a strategy game. The evolution is guided by human-generated examples of play, and the system effectively learns the policies that were used by the player to generate the examples. I.e., the agents learn visibly intelligent behavior. In the future, such methods are likely to play a central rule in creating autonomous agents for complex environments, making it possible to generate rich behaviors derived from nothing more formal than the intuitively generated example, of designers, players, or subject-matter experts.
Interference Mitigated Receiver Based on Base Station Cooperation
Authors: Jiang Weilin, Zhang Zhongzhao, Xu Yubin, Sha Xuejun
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

Base station cooperation can mitigate interference of other cell in the uplink, in this paper future base stations cooperation architecture and information exchange scheme are proposed, receiver based on base station cooperation is designed, each station detected the weak signal information of users, which are transmitted to cooperative base station to combine and send demodulated signal to local base station. Meanwhile, in receiver, cooperation priority is analyzed which can reduce delay and improve throughput. The proposed receiver can efficiently mitigate OCI to improve system performance, providing new ideas for base station cooperation applying to realistic network.