ppxscal/embedding_network huggingface dataset:
Improving Endurance and Range of a UGV with Gimballed Landing Platform for Launching Small Unmanned Helicopters
Authors: S. Ioannou, K. Dalamagkidis, K. P. Valavanis, E. K. Stefanakos
Venue: Journal of Intelligent and Robotic Systems (2008)

Design specifications for a high-endurance and range unmanned ground vehicle (UGV) with a gimballed landing platform on top of it for takeoff/landing, transporting to the target area and recharging of small/miniature unmanned helicopters are presented and justified. Specification constraints include UGV strict payload limitations, limited free space affecting power supply availability that impacts on-board available energy, limited endurance and operational range, as well as limitations and restrictions related to electric and non-electric small unmanned vertical takeoff and landing (VTOL) vehicles, similar to those of UGV with the most important being limited flying time. Focusing on the All Terrain Robot Vehicle (ATRV-Jr) UGV and a helicopter of the size of the Maxi Joker 2 as a testbed, a detailed analysis of component power consumption reveals reasons for reduced runtime and operational range. After a comparative study of state of the art power supply and battery technologies, a hybrid battery configuration is proposed that improves more than 500% the manufacturer-specified ATRV-Jr endurance (or 1,000% the currently used custom-made ATRV-Jr endurance) by considering: (1) optimum design with weight, volume, runtime and rechargeability being major restrictions and concerns, and (2) use of lower power sensors and processors without affecting UGV functionality and operability. A sun-tracking solar array that collects and stores energy is integrated with the UGV gimballed landing platform. Simulations demonstrate the validity of the design. Although the testbed is specific, the design itself is generic enough and suitable for other UGV/VTOL vehicles.
Ranking semantic information for e-government: complaints management
Authors: Hande Zirtiloǧlu, Pinar Yolum
Venue: Proceedings of the first international workshop on Ontology-supported business intelligence (2008)

Complaints management is an important application of E-government. Collecting, combining, and ranking citizens' complaints is necessary for effective management. Existing complaints management applications expect the government officials to process each complaint one by one to decide which complaint should be dealt with first. This is time consuming and thus ineffective. To cope with this, we are developing an ontology-based complaints management system to manage complaints. We have developed a complaints ontology with which the complaints of the citizens can be expressed. Further, by specifying constraints on the complaints, the officials can specify which type of complaints are more important than others. We then apply these constraints on the citizens' complaints using a reasoner. This allows us to prioritize the complaints automatically and rank them based on importance. The government officials can then process the ranked list, knowing that they are dealing with the most urgent complaint at any given time.
An Algebraic Framework for Schema Matching
Authors: Zhi Zhang, Pengfei Shi, Haoyang Che, Jun Gu
Venue: Informatica (2008)

It is well known that a formal framework for the schema matching problem (SMP) is important because it facilitates the building of algorithm model and the evaluation of algorithms. An algebraic framework for schema matching is developed in this paper. First, based on universal algebra, we propose a meta-meta structure for schema, which is named multi-labeled schema. This definition has a distinctive feature: it is able to formally describe any particular style of schemas, and transforms a schema and other available information into a finite structure over specific signature. Later, we introduce a formal definition of schema matching that is called multivalent matching. Then, we formulize SMP as a schema homomorphism problem, and prove that SMP is equivalent to finding a semantic homomorphism from one schema to another. These results lead to the main contribution of this paper: an algebraic framework for SMP. This framework builds the algorithm model for SMP. Thirdly, we show a classification of schema matching based on the algebraic framework. Finally, we discuss the relations between matching cardinality and subclasses of schema homomorphism.
Predicting forest successional stages using multitemporal Landsat imagery with forest inventory and analysis data
Authors: W. Liu, C. Song, T. A. Schroeder, W. B. Cohen
Venue: International Journal of Remote Sensing (2008)

Forest succession is an important ecological process that has profound biophysical, biological and biogeochemical implications in terrestrial ecosystems. Therefore, information on forest successional stages over an extensive forested landscape is crucial for us to understand ecosystem processes, such as carbon assimilation and energy interception. This study explored the potential of using Forest Inventory and Analysis (FIA) plot data to extract forest successional stage information from remotely sensed imagery with three widely used predictive models, linear regression (LR), decision trees (DTs) and neural networks (NNs). The predictive results in this study agree with previous findings that multitemporal Landsat Thematic Mapper (TM) imagery can improve the accuracy of forest successional stage prediction compared to models using a single image. Because of the overlap of spectral signatures of forests in different successional stages, it is difficult to accurately separate forest successional stages into more than three broad age classes (young, mature and old) with reasonable accuracy based on the age information of FIA plots and the spectral data of the plots from Landsat TM imagery. Given the mixed spectral response of forest age classes, new approaches need to be explored to improve the prediction of forest successional stages using FIA data.
Validation of active forest fires detected by MSG-SEVIRI by means of MODIS hot spots and AWiFS images
Authors: A. Calle, F. Gonzalez-Alonso, S. Merino de Miguel
Venue: International Journal of Remote Sensing (2008)

The detection of forest fires and the determination of their parameters have been usually carried out by polar-orbit sensors: AVHRR, (A)ATSR, BIRD, and MODIS mainly. However, their time resolution prevents them from operating in real time. In contrast, the new geostationary sensors have very appropriate capacities for the observation of the Earth and monitoring of forest fires, as is being proved. GOES, MSG, and MTSAT are already operative, and they have led the international community to think that the global observation network in real time may become a reality. The implementation of this network is the aim of the Global Observations of Forest Cover and Land Cover Dynamics (GOFC/GOLD) FIRE Mapping and Monitoring programme, focused internationally on taking decisions concerning the research of the Global Change. In this Letter, the operation in real time by the MSG-SEVIRI sensor over the Iberian Peninsula is studied. On the other hand, the reliability of validation results by means of polar sensors, with a finer spatial resolution, is difficult to analyse due to errors caused by confused location of fires. This Letter shows that fires detected by means of MSG-SEVIRI can be an useful option in order to estimate burnt areas at global scale, considering a spatial resolution of 40 km.
MetaRoute
Authors: Torsten Blum, Oliver Kohlbacher
Venue: Bioinformatics (2008)

Summary: We present MetaRoute, an efficient search algorithm based on atom mapping rules and path weighting schemes that returns relevant or textbook-like routes between a source and a product metabolite within seconds for genome-scale networks. Its speed allows the algorithm to be used interactively through a web interface to visualize relevant routes and local networks for one or multiple organisms based on data from KEGG. Availability: http://www-bs.informatik.uni-tuebingen.de/Services/MetaRoute. Contact: blum@informatik.uni-tuebingen.de Supplementary information:Supplementary details are available at http://www-bs.informatik.uni-tuebingen.de/Services/MetaRoute
Erlang loss queueing system with batch arrivals operating in a random environment
Authors: Che Soong Kim, Alexander Dudin, Valentina Klimenok, Valentina Khramova
Venue: Computers and Operations Research (2009)

We consider the BMAP/PH/N/0 queueing system operating in a finite state space Markovian random environment. Disciplines of partial admission, complete rejection and complete admission are analyzed. The stationary distribution of the system states is calculated. The loss probability and other main performance measures of the system are derived. The Laplace-Stieltjes transform of the sojourn time distribution of accepted customers is obtained. Illustrative numerical examples are presented. They show effect of an admission strategy, a correlation in an arrival process, a variation of a service process. Poor quality of the loss probability approximation by means of more simple models utilization is illustrated.
A Multi-agents Contractual Approach to Incentive Provision in Non-cooperative Networks
Authors: Li Lin, Jinpeng Huai, Yanmin Zhu, Chunming Hu, Xianxian Li
Venue: Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems: (2008)

Recent years have witnessed the increasing importance of exchanging information over computer networks or distributed systems. Two end nodes wishing to communicate often rely on independent intermediate nodes to relay messages. In consideration of the rational nature of both the end nodes and intermediate nodes, we have to accommodate two inherently coexistent games: one played between the end nodes and the intermediate nodes and the other played among the intermediate nodes. This is particularly challenging due to the well-known hidden information and the hidden action issues. In this paper we propose a holistic approach PMAC to address the two games, exploiting the principal and multi-agents model creatively. In PMAC, the end nodes make contracts with each intermediate node. The contracts together produce good system properties which are twofold. First, it is guaranteed that the utility of the end nodes is maximized. Second, it is proved that the cooperation of the intermediate nodes can be induced since there exists a Nash equilibrium for the intermediate nodes. However, one serious issue that there may be other Pareto superior Nash equilibriums inevitably hinders the unique implementation of the contracts. We also adopt technique without incurring any additional cost to the end nodes. By knocking out the other redundant Nash equilibriums in the intermediate nodes' game, we ensure that the equilibrium most desired by the end pair is successfully achieved.
Nonsingular dislocation and crack fields: implications to small volumes
Authors: J. Kioseoglou, I. Konstantopoulos, G. Ribarik, G. P. Dimitrakopulos, E. C. Aifantis
Venue: Microsystem Technologies (2008)

The simplest, yet robust, gradient elasticity theory (GRADELA) as first introduced by the last author is used to deduce nonsingular expressions for the stress and strain fields near dislocation lines and crack tips. These expressions are particularly useful for small volumes where the details of the deformation field need to be known for interpreting related experimental observations. Various implications are discussed in relation to the determination of the size of dislocation cores, the size of maximum stress or maximum strain in crack tips, and the interpretation of X-ray line profile measurements in determining internal stresses.
A unified model for joint throughput-overhead analysis of mobile ad hoc networks
Authors: Zhenzhen Ye, Alhussein A. Abouzeid
Venue: Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems (2008)

We develop an analytical framework to study the throughput and routing overhead for proactive and reactive routing strategies in random access mobile ad hoc networks. To characterize the coexistence of the routing control traffic and data traffic, we model the interaction as a multi-class queue model at each node, where the aggregate control traffic and data traffic are two different classes of customers of the queue. We investigate the scaling property of the throughput, maximum mobility degree supported by the network and mobility-induced throughput deficiencies, under both classes of routing strategies. The proposed analytical model can be extended to incorporate various optimization techniques in routing. We present one exemplary technique and discuss its impacts on the scaling properties of throughput and routing overhead. The connection between the derived throughput result and some well-known network throughput capacity results in the literature is also addressed.
Enhancement of lifespan and operating reliability using a new intelligent control method
Authors: Chieh-Tsung Chi
Venue: WSEAS Transactions on Information Science and Applications (2008)

This paper presents a bounce-duration reduction method for electromagnetic contactor systems. It combines the experience-based fuzzy algorithm and the hysteresis comparator with simple structure to form a newly fuzzy-hysteresis methodology, which is a valuable for minimizing the bounce duration after contacts closing. The proposed method is implemented in a microcontroller program with a specially designed data structure for obtaining the dynamic spring anti-force and the upper and lower force error limitations of the hysteresis comparator. Tests on the experimental prototype show that the newly proposed method is valid and fast in practical applications.
A gradient smoothing method (GSM) based on strong form governing equation for adaptive analysis of solid mechanics problems
Authors: Jian Zhang, G. R. Liu, K. Y. Lam, Hua Li, G. Xu
Venue: Finite Elements in Analysis and Design (2008)

A gradient smoothing method (GSM) based on strong form of governing equations for solid mechanics problems is proposed in this paper, in which gradient smoothing technique is used successively over the relevant gradient smoothing domains to develop the first- and second-order derivative approximations by calculating weights for a set of field nodes surrounding a node of interest. The GSM is found very stable and can be easily applied to arbitrarily irregular triangular meshes for complex geometry. Unlike other strong form methods, the present method has excellent stability that is crucial for adaptive analysis. An effective and robust residual based error indicator and simple refinement procedure using Delaunay diagram are then implemented in our GSM for adaptive analyses. The reliability and performance of the proposed GSM for adaptive procedure are demonstrated in several solid mechanics problems including problems with singularities and concentrated loading, compared with the well-known finite element method (FEM).
Artificial Neural Network estimation of soil erosion and nutrient concentrations in runoff from land application areas
Authors: Minyoung Kim, John E. Gilley
Venue: Computers and Electronics in Agriculture (2008)

The transport of sediment and nutrients from land application areas is an environmental concern. New methods are needed for estimating soil and nutrient concentrations of runoff from cropland areas on which manure is applied. Artificial Neural Networks (ANNs) trained with a backpropagation (BP) algorithm were used to estimate soil erosion, dissolved P (DP) and NH"4-N concentrations of runoff from a land application site near Lincoln, Nebraska, USA. Simulation results from ANN-derived models showed that the amount of soil eroded is positively correlated with rainfall and runoff. In addition, concentrations of DP and NH"4-N in overland flow were related to measurements of runoff, EC and pH. Coefficient of determination values (R^2) relating predicted versus measured estimates of soil erosion, DP, and NH"4-N were 0.62, 0.72 and 0.92, respectively. The ANN models derived from measurements of runoff, electrical conductivity (EC) and pH provided reliable estimates of DP and NH"4-N concentrations in runoff.
Intelligent controlling water dispersal: comparison between mamdani and conventional approach
Authors: Shuzlina Abdul Rahman, Sofianita Mutalib, Marina Yusoff, Azlinah Mohamed
Venue: WSEAS Transactions on Systems and Control (2007)

Adequacy of water supply plays a vital role in maintaining lawn health. Water need to be dispersed intelligently to provide a sufficient amount of moisture to the soil. Conventional system was investigated and it is found that the system used excessive amount of water and the amount dispersed may not be suitable for the moisture level of the lawn since it does not consider soil moisture based on weather condition. This research demonstrates the capability of fuzzy logic by developing a prototype namely, Fuzzy Water Dispersal Controller (FuziWDC). Rules were developed in Mamdani-style with normal fuzzy subsets using ranges suggested by the experts and later applied to a set of common Bermuda turfgrass. It is found that FuziWDC was particularly successful in controlling the water dispersal. Results were simulated in a graphical form and user would be notified about the dispersal time and day, the amount of water to use, and duration of dispersal. The prototype has performed better than the conventional irrigation system based on the lower annual average water usage for the whole year recorded.
Development of QRS detection algorithm designed for wearable cardiorespiratory system
Authors: Mourad Adnane, Zhongwei Jiang, Samjin Choi
Venue: Computer Methods and Programs in Biomedicine (2009)

An in-home sleep monitoring system was developed previously in our laboratory for monitoring electrocardiography (ECG) and respiratory signals. However, the ECG signal acquired with this system is prone to high-grade noise caused by motion artifact. Since the detection of the QRS complexes with high accuracy is very important in a computer-based analysis of the ECG, a high accuracy QRS detection algorithm is developed and based on the combination of heart rate indicators and morphological ECG features. The proposed algorithm is tested both on 16h data acquired using the two sensors of our cardiorespiratory belt system, i.e., the polyvinylidene fluoride (PVDF) film and the conductive fabric sheets, and on all 48 records of the MIT/BIH Arrhythmia Database. Satisfying results are obtained for both databases, the sensitivity S"e and positive predictivity P"+ were calculated for each case and results show S"e=[96.98%, 93.76%] and P"+=[97.81%, 99.48%] for conductive fabric and PVDF film sensors, respectively, and S"e=99.77% and P"+=99.64% in the case of the MIT/BIH Arrhythmia Database. Further, heart rate variability (HRV) measures were calculated using our system and a commercial system. A comparison between systems' results is done to show the usefulness of our developed algorithm used with our cardiorespiratory belt sensor.
A unified framework for multiple criteria auction mechanisms
Authors: Marie-Jo Bellosta, Sylvie Kornman Daniel Vanderpooten
Venue: Web Intelligence and Agent Systems (2008)

Multi-attribute auctions allow negotiations over multiple attributes besides price. Multiple criteria English reverse auction mechanisms differ regarding the aggregation model used to represent the buyer's preferences and the feedback information provided to bidders during the auction. In this paper, we present a unified framework, called MERA in order to integrate existing mechanisms and guide the design of new ones. Framework MERA both provides an automated buyer agent that manages auctions and a formal model that describes an auction mechanism. This model includes a class of preference relations used to express the buyer's preference relation, a class of request relations used to formulate the feedback, and a class of constraints used to express the initial requirements on the purchased item. We study efficiency for multiple criteria English reverse auction processes, and we show that any process derived from framework MERA is efficient.
Flashing up the storage layer
Authors: Ioannis Koltsidas, Stratis D. Viglas
Venue: Proceedings of the VLDB Endowment (2008)

In the near future, commodity hardware is expected to incorporate both flash and magnetic disks. In this paper we study how the storage layer of a database system can benefit from the presence of both kinds of disk. We propose using the flash and the magnetic disk at the same level of the memory hierarchy and placing a data page to only one of these disks according to the workload of the page. Pages with a read-intensive workload are placed on the flash disk, while pages with a write-intensive workload are placed on the magnetic disk. We present a family of on-line algorithms to decide the optimal placement of a page and study their theoretical properties. Our system is self-tuning, i.e., our algorithms adapt page placement to changing workloads. We also present a buffer replacement policy that takes advantage of the asymmetric I/O properties of the two types of storage media to reduce the total I/O cost. Our experimental evaluation shows remarkable I/O performance improvement over both flash-only and magnetic-only systems. These results, we believe, exhibit both the potential and necessity of such algorithms in future database systems.
Systematic biological prioritization after a genome-wide association study
Authors: Scott F. Saccone, Nancy L. Saccone, Gary E. Swan, Pamela A. F. Madden, Alison M. Goate, John P. Rice, Laura J. Bierut
Venue: Bioinformatics (2008)

Motivation: A challenging problem after a genome-wide association study (GWAS) is to balance the statistical evidence of genotype–phenotype correlation with a priori evidence of biological relevance. Results: We introduce a method for systematically prioritizing single nucleotide polymorphisms (SNPs) for further study after a GWAS. The method combines evidence across multiple domains including statistical evidence of genotype–phenotype correlation, known pathways in the pathologic development of disease, SNP/gene functional properties, comparative genomics, prior evidence of genetic linkage, and linkage disequilibrium. We apply this method to a GWAS of nicotine dependence, and use simulated data to test it on several commercial SNP microarrays. Availability: A comprehensive database of biological prioritization scores for all known SNPs is available at http://zork.wustl.edu/gin. This can be used to prioritize nicotine dependence association studies through a straightforward mathematical formula—no special software is necessary. Contact: ssaccone@wustl.edu Supplementary information:Supplementary data are available at Bioinformatics online.
The investigation of effects of digital proofing systems used in colour management on print quality with neural networks
Authors: Erdoğan Köse, Türkün Şahinbaşkan, İnan Güler
Venue: Expert Systems with Applications: An International Journal (2009)

The aim of this study is to assist users and to determine how digital proofing systems used in colour management effect print qualities. Also the main theme of this study is to determine the effects of digital proofing systems used in colour management on print quality by artificial neural network (ANN). The R^2 values are obtained 0.99702 and 0.99688 for training data as matte and cuated papers, respectively. Similarly, these values for testing data are 0.994707 and 0.99629, respectively. The ANN approach shows greater accuracy for evaluating colour management. Based on the outputs of the study, ANN model can be used to estimate the effects of digital proofing systems used in colour management on print quality with highly confidence.