ppxscal/embedding_network huggingface dataset:
Spectrally Efficient Frequency Hopping System Design under Hostile Jamming
Authors: Lei Zhang, Tongtong Li
Venue: Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications (2009)

This paper considers spectrally efficient anti-jamming system design based on message-driven frequency hopping (MDFH). As a highly efficient frequency hopping scheme, MDFH is particularly robust under strong jamming. However, disguised jamming from sources of similar power strength can cause performance losses. To overcome this drawback, in this paper, we first propose an anti-jamming MDFH (AJ-MDFH) system. The main idea is to transmit an ID sequence along with the information stream. The ID sequence is generated through a cryptographic algorithm using the shared secret between the transmitter and the receiver. It is then exploited by the receiver for effective signal detection and extraction. It is shown that AJ-MDFH is not only robust under strong jamming, but can also effectively reduce the performance degradation caused by disguised jamming. Second, we extend AJ-MDFH to a multi-carrier scheme for higher spectral efficiency and more robust jamming resistance. Based on secure group generation, MC-AJ-MDFH can increase the system efficiency and jamming resistance significantly through jamming randomization and enriched frequency diversity. Moreover, by assigning different carriers to different users, MC-AJ-MDFH can readily be used as a collision-free multiple access system. Simulation examples are provided to illustrate the performance of the proposed approaches.
On Efficient Content Based Information Retrieval Using SVM and Higher Order Correlation Analysis
Authors: Dimitrios Alexios Karras
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

Efficient retrieval of information with regards to its meaning and content is an important problem in data mining systems for the creation, management and querying of very large information databases existing in the World Wide Web. In this paper we deal with the main aspect of the problem of content based retrieval, namely, with the problem of document classification, outlining a novel improved and systematic approach to it's solution. We present a document classification system for non-domain specific content based on the learning and generalization capabilities mainly of SVM neural networks. The main contribution of this paper lies on the feature extraction methodology which, first, involves word semantic categories and not raw words as other rival approaches. As a consequence of coping with the problem of dimensionality reduction, the proposed approach introduces a novel higher order approach for document categorization feature extraction by considering word semantic categories higher order correlation analysis, both two and three dimensional, based on cooccurrence analysis. The suggested methodology compares favourably to widely accepted, raw word frequency based techniques in a collection of documents concerning the Dewey Decimal Classification (DDC) system. In these comparisons different Multilayer Perceptrons (MLP) algorithms as well as the Support Vector Machine (SVM), the LVQ and the conventional k-NN technique are involved. SVM models seem to outperform all other rival methods in this study.
Optimizing Online Situation Awareness Probes in Air Traffic Management Tasks
Authors: Thomas Z. Strybel, Katsumi Minakata, Jimmy Nguyen, Russell Pierce, Kim-Phuong L. Vu
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

We examined the effectiveness of situation awareness probe questions in predicting sector performance and behavior in a human-in-the-loop simulation air traffic management (ATM) simulation with low (50%) and high (75%) traffic densities. Probes were presented online during the performance of the air traffic management task, and the accuracy and response latencies were measured. Hierarchical linear modeling was used to analyze the predictive power of each category type. Response latencies for conflict probe questions predicted performance metrics associated with separation assurance.
Automatic generation of translation dictionaries using intermediary languages
Authors: Kisuh Ahn, Matthew Frampton
Venue: Proceedings of the International Workshop on Cross-Language Knowledge Induction (2006)

We describe a method which uses one or more intermediary languages in order to automatically generate translation dictionaries. Such a method could potentially be used to efficiently create translation dictionaries for language groups which have as yet had little interaction. For any given word in the source language, our method involves first translating into the intermediary language(s), then into the target language, back into the intermediary language(s) and finally back into the source language. The relationship between a word and the number of possible translations in another language is most often 1-to-many, and so at each stage, the number of possible translations grows exponentially. If we arrive back at the same starting point i.e. the same word in the source language, then we hypothesise that the meanings of the words in the chain have not diverged significantly. Hence we backtrack through the link structure to the target language word and accept this as a suitable translation. We have tested our method by using English as an intermediary language to automatically generate a Spanish-to-German dictionary, and the results are encouraging.
Authenticated Key Exchange Protocol in One-Round
Authors: Xing-Lan Zhang
Venue: Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing (2009)

The Key-exchange protocol is one of the most basic and widely used cryptographic protocols in internet for secure communication. In a two-party setting, cryptographic protocol design has often ignored the possibility of simultaneous message transmission by each of the two parties. Most protocols for two-party have been designed assuming that parties alternate sending their messages. We present two provably-secure protocols for two-party authenticated key exchange (AKE) which require not only a single round, but more efficient message transmission (from a computational perspective). The protocol provides Implicit Authentication, key independence and forward secrecy, and is analyzed in the standard model. The protocols are the first provably-secure one-round protocol for authenticated 2-party key exchange in the standard model that the message lengths are equal to the basic protocol.
A Cluster-Based Noise Detection Algorithm
Authors: Hua Yin, Hongbin Dong, Yuxuan Li
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

For a classification problem, noise in real-world data can dramatically lower the predictive accuracy of a learner and increase the time in building model. Researchers have proved that preprocessing noise before learning can bring more advantages.Previous work mostly focus on class noise detection for the difficulties of attribute noise detection. In this paper, we present a cluster-based noise detection algorithm, which synthetically considers attribute and class noise detection. Meanwhile, it has the ability of handling different types of datasets. Our algorithm separately detects class and attributes noise by computing the deviation to the center in the same cluster. we test its effect by adding different types of noise and noise level into datasets from the UCI repository, Our approach shows significant effectiveness in improving the predictive accuracy of classification.
Small-Bias Spaces for Group Products
Authors: Raghu Meka, David Zuckerman
Venue: Proceedings of the 12th International Workshop and 13th International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (2009)

Small-bias, or ¿-biased, spaces have found many applications in complexity theory, coding theory, and derandomization. We generalize the notion of small-bias spaces to the setting of group products. Besides being natural, our extension captures some of the difficulties in constructing pseudorandom generators for constant-width branching programs - a longstanding open problem. We provide an efficient deterministic construction of small-bias spaces for solvable groups. Our construction exploits the fact that solvable groups have nontrivial normal subgroups that are abelian and builds on the construction of Azar et al. [AMN98] for abelian groups. For arbitrary finite groups, we give an efficient deterministic construction achieving constant bias. We also construct pseudorandom generators fooling linear functions mod p for primes p.
A panlingual anomalous text detector
Authors: Ashok C. Popat
Venue: Proceedings of the 9th ACM symposium on Document engineering (2009)

In a large-scale book scanning operation, material can vary widely in language, script, genre, domain, print quality, and other factors, giving rise to a corresponding variability in the OCRed text. It is often desirable to automatically detect errorful and otherwise anomalous text segments, so that they can be filtered out or appropriately flagged, for such applications as indexing, mining, analyzing, displaying, and selectively re-processing such data. Moreover, it is advantageous to require that the automated detector be independent of the underlying OCR engine (or engines), that it work over a broad range of languages, that it seamlessly handle mixed-language material, and that it accommodate documents that contain domain-specific and otherwise rare terminology. A technique is presented that satisfies these requirements, using an adaptive mixture of character-level N-gram language models. Its design, training, implementation, and evaluation are described within the context of high-volume book scanning.
Wavelet menus: a stacking metaphor for adapting marking menus to mobile devices
Authors: Jeremie Francone, Gilles Bailly, Laurence Nigay, Eric Lecolinet
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

Exploration and navigation in multimedia data hierarchies (e.g., photos, music) are frequent tasks on mobile devices. However, visualization and interaction are impoverished due to the limited size of the screen and the lack of precise input devices. As a result, menus on mobile devices do not provide efficient navigation as compared to many innovative menu techniques proposed for Desktop platforms. In this paper, we present Wavelet, the adaptation of the Wave menu for the navigation in multimedia data on iPhone. Its layout, based on an inverted representation of the hierarchy, is particularly well adapted to mobile devices. Indeed, it guarantees that submenus are always displayed on the screen and it supports efficient navigation by providing previsualization of the submenus.
GColl: A Flexible Videoconferencing Environment for Group-to-Group Interaction
Authors: Petr Slovák, Pavel Troubil, Petr Holub
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

In this paper, we present GColl, a group-to-group videoconferencing environment concept, which aims to provide a natural communication channel even for ad-hoc groups or other teams that require frequent changes in the number of participants or videoconferencing locations. GColl supports mutual gaze as well as partial gaze awareness for all participants while still retaining very modest technical requirements: a camera and an echo-canceling microphone at each site; and a notebook with two USB cameras for each user. A working prototype is available for download.
The Variable Frequency and Speed Regulation Constant Pressure Water Supply System Based on PLC and Fuzzy Control
Authors: Xiaohong Peng, Laisheng Xiao, Zhi Mo, Guodong Liu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

For solving the problem of poor quality and waste of electric energy coursed by water supply mode of a high water tower and a direct water pump, introduce a constant pressure supply water system, which adopts embedded fuzzy control technology, using PLC and frequency convener as its core. When the system runs, water pressure of the pipe is inputted into the PLC from terminal X0 through pressure transmitter. Comparing the value of measured pressure with its set value, PLC controls the work frequency of the frequency converter by the output signal on fuzzy calculation in order to control rotation speed of water pump and adjust water pressure of the pipe. The real time control performance to the water Pressure of water supply system designed in this paper was proved to be all-right according to the experimentation validated. The hard ware module is steady-going and reliable, and the fuzzy controller is proper and valid and can guarantee the better stability of water pressure.
An approach to budget allocation for an aerospace company-Fuzzy analytic hierarchy process and artificial neural network
Authors: Yu-Cheng Tang
Venue: Neurocomputing (2009)

Budgetary allocations of resources are made in all businesses, but their volume and composition vary; and efficient budget allocation is fundamental to flow in businesses. The objective of the allocation problem is to determine the required budget for each department (or section) of a company so as to maximize the sum of the company's benefits. The purpose of this paper is to find a suitable degree of fuzziness for preference rankings and to demonstrate an example of budget allocation using artificial intelligence programming, and fuzzy analytic hierarchy process (FAHP). An efficient budget allocation method using FAHP will be provided for businesses. This method is suitable for use in evaluating proposed policies (including tangible and intangible information). A comparison between FAHP and artificial neural network (ANN) will be also made in this paper. An aerospace company's budget allocation problem is investigated as a case study in this research, which will illustrate how to solve this problem. The case study utilizes a two-stage interview (semi-structured interview and in-depth interview) to select their budget allocations given a number of tangible and intangible criteria. The results from the case study are pertinent to other real-world allocation problems that share many of the characteristics of problems, such as decision makers' subjective opinions.
An Awareness Model for Agents in Heterogeneous Environments
Authors: Dirk Bade, Lars Braubach, Alexander Pokahr, Winfried Lamersdorf
Venue: Programming Multi-Agent Systems: 6th International Workshop, ProMAS 2008, Estoril, Portugal, May 13, 2008. Revised Invited and Selected Papers (2009)

One of the constituting characteristics of software agents is their ability to sense the environment. The reception and processing of percepts is a key element for the agent's internal reasoning process and essential for interacting with other entities in the environment. But sensing the environment is often seen as an abstract concept which is practically more or less reduced to the simple processing of some domain-specific message content. In order to be generally applicable among different multi-agent applications a common model of an environment incorporating an extensible set of entities, distribution protocols, and representation- as well as query languages needs to be established. Therefore, we propose a generic, extensible and adaptable model for resource-aware agents. It is organized into different information channels to help directing the focus of interest to specific aspects of the environment. Several discovery- and distribution protocols as well as different representation- and query languages may be used to satisfy the requirements of dynamic environments. The whole model is realized with a dedicated service agent on each platform, which local as well as remote agents can query for environmental information. This way, repeatedly and redundantly integrating these features into every agent application can be avoided and agent developers only have to deal with a simple protocol-API to access the information. Due to our highly flexible and adaptable model, we can face the heterogeneity of multi-agent applications operating in infrastructure- as well as mobile ad-hoc networks.
Detecting Inference Channels in Private Multimedia Data via Social Networks
Authors: Béchara Al Bouna, Richard Chbeir
Venue: Proceedings of the 23rd Annual IFIP WG 11.3 Working Conference on Data and Applications Security XXIII (2009)

Indirect access to protected information has been one of the key challenges facing the international community for the last decade. Providing techniques to control direct access to sensitive information remain insufficient against inference channels established when legitimate data reveal classified facts hidden from unauthorized users. Several techniques have been proposed in the literature to meet indirect access prevention. However, those addressing the inference problem when involving multimedia objects (images, audio, video, etc.) remain few and hold several drawbacks. In essence, the complex structure of multimedia objects makes the fact of detecting indirect access a difficult task. In this paper, we propose a novel approach to detect possible inference channels established between multimedia objects representing persons by combining social network information with unmasked content of multimedia objects. Here, we present the techniques used to map the content of social networks to the set of multimedia objects at hand. We also provide an MiD function able to determine whether an unmasked multimedia object combined with data from the social network infers a sensitive multimedia object.
A Novel Spectrum Allocation Mechanism Based on Graph Coloring and Bidding Theory
Authors: Yutao Liu, Guisen Xu, Xuezhi Tan
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

Cognitive radios (CRs) have a potential to improve spectrum utilization by enabling users to access the spectrum dynamically without disturbing licensed primary users (PUs). In this paper, we consider the spectrum allocation in wireless networks with multiple selfish secondary users (SUs) and a spectrum pool formed by underutilized spectrum of primary users. A novel spectrum allocation mechanism is proposed to obtain the overall utility of both primary and secondary users, in which graph coloring and bidding theory play an important role. Moreover, the traditional mechanisms such as distributed random and greedy algorithms are presented in this paper. The simulation results show that our proposed scheme not only have a similar performance to the optimal allocation algorithm, but also can obtain the profit of primary users.
BSN Simulator: Optimizing Application Using System Level Simulation
Authors: Ioana Cutcutache, Thi Thanh Nga Dang, Wai Kay Leong, Shanshan Liu, Kathy Dang Nguyen, Linh Thi Xuan Phan, Edward Sim, Zhenxin Sun, Teck Bok Tok, Lin Xu, Francis Eng Hock Tay, Weng-Fai Wong
Venue: Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks (2009)

A biomonitoring application running on wireless BAN has stringent timing and energy requirements. Developing such applications therefore presents unique challenges in both hardware and software designs. This paper shows how we successfully apply our full-system simulator to a MEMSWear-Biomonitoring application. The simulation results, together with a set of investigative guidelines, enable us to identify and overcome performance bottlenecks. Our simulator is able to obtain timing and energy measurements for each function in the program as well as for each module in the hardware. Without such detail and accurate information, we would not be able to identify the reason for the low performance in the original application.
Overview of the INEX 2008 Interactive Track
Authors: Nils Pharo, Ragnar Nordlie, Khairun Nisa Fachry
Venue: Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers (2009)

This paper presents the organization of the INEX 2008 interactive track. In this year's iTrack we aimed at exploring the value of element retrieval for two different task types, fact-finding and research tasks. Two research groups collected data from 29 test persons, each performing two tasks. We describe the methods used for data collection and the tasks performed by the participants. A general result indicates that test persons were more satisfied when completing research task compared to fact-finding task. In our experiment, test persons regarded the research task easier, were more satisfied with the search results and found more relevant information for the research tasks.
Study on Energy Efficient Hierarchical Routing Protocols of Wireless Sensor Network
Authors: Hu Yu, Li Wei, Kang Zhenhua
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

Wireless sensor networks are composed of cheap sensor nodes with limited energy resources. These networks require robust wireless communication protocols that are energy efficient in order to prolong the lifetime of the entire network. This paper studies the routing protocols and analyzes the performance of LEACH (Low-Energy Adaptive Clustering Hierarchy) in-depth. It is found that the cluster heads selecting algorithm in LEACH is not the best, because it dose not take the residual energy of the nodes into account. And when it sends data to the base station, it is in the form of one-hop routing. Then the paper made some improvement and proposed a novel algorithm called EECH (Energy Efficient Clustering Hierarchy). Simulation results show the new proposed protocol EECH has outperformed LEACH on the lifetime of the networks.
Exploring affect-context dependencies for adaptive system development
Authors: Kate Forbes-Riley, Mihai Rotaru, Diane J. Litman, Joel Tetreault
Venue: Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX (2007)

We use X2 to investigate the context dependency of student affect in our computer tutoring dialogues, targeting uncertainty in student answers in 3 automatically monitorable contexts. Our results show significant dependencies between uncertain answers and specific contexts. Identification and analysis of these dependencies is our first step in developing an adaptive version of our dialogue system.
Monitoring the high-voltage transmission lines based on two-tier wireless networks
Authors: Gaotao Shi, Zenghua Zhao, Yantai Shu, Shuangli Han
Venue: Proceedings of the 4th ACM international workshop on Experimental evaluation and characterization (2009)

Wireless networks have become an effective solution for remote surveillance and data gathering without an existing communication infrastructure. The poster presents a system for monitoring the high-voltage transmission lines. This system implemented a two-tier wireless network to gather the data for the high voltage transmission lines and transmit these data to the control center based on WiFi technology and Zigbee technology.