ppxscal/embedding_network huggingface dataset:
Modelling electrical conductivity of groundwater using an adaptive neuro-fuzzy inference system
Authors: B. Tutmez, Z. Hatipoglu, U. Kaymak
Venue: Computers Geosciences (2006)

Electrical conductivity is an important indicator for water quality assessment. Since the composition of mineral salts affects the electrical conductivity of groundwater, it is important to understand the relationships between mineral salt composition and electrical conductivity. In this present paper, we develop an adaptive neuro-fuzzy inference system (ANFIS) model for groundwater electrical conductivity based on the concentration of positively charged ions in water. It is shown that the ANFIS model outperforms more traditional methods of modelling electrical conductivity based on the total solids dissolved in the water, even though ANFIS uses less information. Additionally, the fuzzy rules in the ANFIS model provide a categorization of ground water samples in a manner that is consistent with the current understanding of geophysical processes.
Solar radiation modelling
Authors: Klemen Zakšek, Toma Podobnikar, Krištof Oštir
Venue: Computers Geosciences (2005)

The Sun is the main energy source of the life on the Earth. Thus, solar radiation energy data and models are important for many areas of research and applications. Many parameters influence the amount of solar energy at a particular standing point of the Earth's surface; therefore, many solar radiation models were produced in the last few years. Solar radiation energy depends mostly on incidence angle, which is defined by astronomical and surface parameters. Our solar radiation model is based on defining incidence angle by computing normal-to-the-surface tangent plane and direction of the Sun. If a part of the surface is in the shadow, it receives lesser energy than sunny areas. That is why shadow determination is an important part of the model. The sky is usually not completely clear, so meteorological parameters had to be integrated into the model. Meteorological model distinguishes among direct and diffuse Sun radiation. The model was tested and implemented for the whole Slovenia and it was also compared with previous studies. Case study surface data were calculated from the DEM with a 25m resolution. The astronomical data, which were required for virtual Sun motion simulation around the Earth, were derived from the astronomical almanac. Meteorological data were acquired from observed mean values on 24 meteorological stations between 1961 and 1990. All calculations were made for hours and decades and finally, the annual quasiglobal radiation energy, which is the energy received by inclined plane from the Sun in one year, was calculated from the sum of all the energies of all the decades.
Two step SOVA-based decoding algorithm for tailbiting codes
Authors: Jorge Ortín, Paloma García, Fernando Gutiérrez, Antonio Valdovinos
Venue: IEEE Communications Letters (2009)

In this work we propose a novel decoding algorithm for tailbiting convolutional codes and evaluate its performance over different channels. The proposed method consists on a fixed two-step Viterbi decoding of the received data. In the first step, an estimation of the most likely state is performed based on a SOVA decoding. The second step consists of a conventional Viterbi decoding that employs the state estimated in the previous step as the initial and final states of the trellis. Simulations results show a performance close to that of maximum-likelihood decoding.
Session-Based Tunnel Scheduling Model in Multi-link Aggregate IPSec VPN
Authors: Yunhe Zhang, Zhitang Li, Song Mei, Cai Fu
Venue: Proceedings of the 2009 Third International Conference on Multimedia and Ubiquitous Engineering (2009)

IPSec VPN is commonly used to implement secure communications between different branch intranets over public networks. Multi-link aggregate IPSec VPN can make better use of multiple physical links of corporation. On the basis of analysis on the insufficiency of packet-based scheduling, a session-based tunnel scheduling model for multi-link aggregate IPSec VPN is proposed. The new model can distribute IPSec traffics over multiple tunnels negotiated on different physical links in unit of session. A prototype system of the new model which adopts Netfilter mechanism is implemented on Linux platform. Analysis on the test result for the prototype system shows that the new model can work effectively, the cost of scheduling is controllable and the performance of model is acceptable.
A Novel Intra-domain Mobility Management Solution in Heterogeneous Networks Using SIP
Authors: Tian Chen, Wen-an Zhou, Fei Ma, Jun-de Song
Venue: Proceedings of the 2009 Third International Conference on Multimedia and Ubiquitous Engineering (2009)

Although Session Initiation Protocol(SIP) has been the main choice of terminal mobility signaling solution in application layer, it is obvious that SIP suffers from considerable handover delay that is not suitable for real-time multimedia and frequent local movements(intra-domain handovers). By introducing Session Border Controller(SBC) and hierarchical SIP registration, this paper proposes a novel intra-domain mobility management architecture which can support seamless vertical handover, location transparency and NAT traversal. Based on the architecture, an intra-domain vertical handover procedure is proposed, using Advance Duplicate Address Detection(A-DAD) to reduce the handover delay. Performance analysis has evaluated the handover delay and indicated that the proposed handover procedure can fulfill the delay requirement of real-time applications.
Binary Tree and Energy Weighted Application to Three-Channel SEMG Artificial Hand
Authors: Tang Jianyou, Luo Zhizeng
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 01 (2009)

In order to solve the problem of real-time and proportional control for three-freedom artificial hand, a new method of Surface Electromyography (SEMG) disposal is proposed. This method combines binary tree with energy weighted method. By using time-domain analysis of energy, motion patterns of hand are identified by using the pattern classification of binary tree. And using multi-channel signals energy weighted to obtain coefficient which could control artificial hand to realize proportional control for multi-degree of freedom EMG artificial hand, the proportional control of electric artificial hand have been achieved according to the strength of SEMG. The experimental results indicate that the three-freedom electric artificial hand which based on electromyography has fast response and motions’ accuracy rate reaches 96%; this method is an effective way to achieve the proportional control of artificial hand.
On dynamic wavelength assignment in wavelength-convertible multi-granular optical networks
Authors: Ching-Fang Hsu, Fang-Sheng Lin
Venue: IEEE Transactions on Communications (2009)

In this paper, we study the dynamic wavelength assignment problem in waveband-switched (WBS) networks composed of wavelength-convertible multi-granular OXCs (MGOXCs). With the aim to minimize the extra port consumption and utilize wavelength converters in an efficient manner, we propose a heuristic wavelength assignment algorithm named Least Weighted Configuration Cost (LWCC). WAPG, an algorithm proposed in previous literature, is compared with LWCC in both blocking performance and converter utilization. Numerical results show that LWCC offers more benefit in waveband grouping, which results in significant improvement in terms of blocking probability.
Ruputation-Based Semantic Service Discovery
Authors: Jing Yuan, Yuyan An, Hui Wang
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

In this paper, we present a framework to facilitate Reputation-based service selection with reputation management, which has three key features. First, we use a structured overlay network as the decentralized service repository system for improved efficiency. Second, we propose an adaptive QoS-aware service discovery approach. Then, we present a service-oriented distributed reputation assessment algorithm based on user's feedback. We test our approach on a simple, yet realistic example, and the preliminary results demonstrate that our implementation provides a practical solution.
A proof of wavelength conversion not improving the Lagrangian bound of the static RWA problem
Authors: James Yiming Zhang, Jing Wu, Gregor V. Bochmann, Michel Savoie
Venue: IEEE Communications Letters (2009)

The fact that wavelength conversion hardly improves the performance of static routing and wavelength assignment (RWA) in Wavelength Division Multiplexing (WDM) networks has been observed in many previous studies. However, other than simulation results, until now there was no formal proof of such fact. In this paper, we formally prove that wavelength conversion does not improve the Lagrangian bound of the static RWA problem.
Model-based QoS parameter control for IEEE 802.11e EDCA
Authors: Jae Young Lee, Hwang Soo Lee, Joong Soo Ma
Venue: IEEE Transactions on Communications (2009)

In this paper, we give an analytical justification how to control the QoS parameters using a throughput approximation model for IEEE 802.11e EDCA. Using the model, we propose a new parameter control algorithm which successfully achieves the dynamic parameter assignment under desired throughput ratio constraints.
GLCP OFDM systems with I/Q imbalance
Authors: Mingzheng Cao, Hongya Ge
Venue: IEEE Communications Letters (2009)

In this work, a grouped linear constellation precoded orthogonal frequency-division multiplexing (GLCP OFDM) system, with the transceiver in-phase/quadrature (I/Q) imbalance operating over frequency-selective fading channels are studied. A new subcarrier grouping scheme in such a system is proposed. Through analysis and simulations, we demonstrate that with the proposed scheme, low-complexity solutions can be developed to mitigate I/Q imbalance, and provide a performance comparable to (or better than) the optimal subcarrier grouping scheme with no I/Q imbalance.
A New Flex Real-Time Messaging Framework
Authors: Jiyun Xie
Venue: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC (2009)

This introduces a new Flex Real-time messaging framework based on Comet, which is a real-time message transmission mechanism based on the HTTP protocol. It solved the dilemma of providing real-time messaging service without opening additional ports in the web server. It achieved a good real-time performance with the basis of consuming approximately the same amount of network bandwidth as Flex RTMP messaging framework do. It is an important supplementary to the Flex architecture.
Hybrid genetic algorithm for multi-time period production/distribution planning
Authors: Mitsuo Gen, Admi Syarif
Venue: Computers and Industrial Engineering (2005)

In this paper, we deal with a production/distribution problem to determine an efficient integration of production, distribution and inventory system so that products are produced and distributed at the right quantities, to the right customers, and at the right time, in order to minimize system wide costs while satisfying all demand required. This problem can be viewed as an optimization model that integrates facility location decisions, distribution costs, and inventory management for multi-products and multi-time periods. To solve the problem, we propose a new technique called spanning tree-based genetic algorithm (hst-GA). In order to improve its efficiency, the proposed method is hybridized with the fuzzy logic controller (FLC) concept for auto-tuning the GA parameters. The proposed method is compared with traditional spanning tree-based genetic algorithm approach. This comparison shows that the proposed method gives better results.
Vector Polygon Blind Watermarking Based on Canonical Correlation Analysis
Authors: Guangling Sun, Zhoubiao Shen, Huan Chen
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01 (2009)

A vector polygon blind watermarking algorithm based on canonical correlation analysis (CCA) is proposed for protecting the copyright of vector polygon. In embedding, vertices of a polygon are separated into two groups according to odd-even properties of their indexes. CCA is carried out on the two vertex groups to get canonical variables. The absolute value of canonical variables is proved to be affine invariant so that it is called affine invariant descriptor. The watermark is embedded into the magnitude of Fourier descriptors of affine invariant descriptors. In detection, affine invariant descriptors are obtained through a same process as embedding. The correlation between magnitude of the Fourier descriptors of affine invariant descriptors and the watermark is calculated. The watermark can be detected by comparing the correlation to a pre-selected threshold. The algorithm is blind as it doesn't need the original graphics during detection. Both theoretical analysis and simulation results have demonstrated feasibility and reliability of the proposed algorithm.
Simulation study of CO2 injection modes: a case study
Authors: F. M. Nasir, N. M. Taib, M. F. Harun, Y. Y. Chong
Venue: Proceedings of the IASTED Asian Conference on Modelling and Simulation (2007)

A large number of producing fields in Malaysia are already entering maturing stage for primary and/or secondary depletion with declining oil rates and increasing water cut and gas-oil-ratio trend. As of 2003, the average oil recovery factor for the producing field is 36.8%. This means that there is still substantial amount of the remaining oil-in-place that could potentially be recovered through tertiary recovery or enhanced oil recovery (EOR). Carbon dioxide (CO2) miscible flooding has been identified to be the most amenable EOR process for these fields. However, to fully optimize the oil recovery from the process, the most effective injection mode must be determined. This paper presents a study of the effect of various CO2 injection modes on miscible flood performance for a reservoir in Malaysia. Using a black-oil numerical simulator, four injection techniques; continuous, simultaneous water and gas (SWAG), water alternate gas (WAG) and hybrid WAG; were simulated on the reservoir. From the results of the simulations, the respective optimum injection modes for our case study reservoir were established. Comparing all the various optimum CO2 injection modes, SWAG injection with a CO2 injection rate of 15,000 Mscf/d and SWAG ratio of 1:1 is the most efficient recovery method for our reservoir.
Study on the Relationship between Knowledge Acquisition and Enterprise Performance: The Mediating Effect of Technological Capability
Authors: Weiwei Wu, Qiang Deng, Bo Yu
Venue: Proceedings of the 2009 Second International Symposium on Knowledge Acquisition and Modeling - Volume 01 (2009)

With the arrival of knowledge economy era, knowledge has become an important basis for improving enterprise performance and obtaining competitive advantage. Through knowledge acquisition, enterprises can promote their technological capability and further improve their performance effectively. This paper aims to find out the relationships among knowledge acquisition, technological capability and enterprise performance. Firstly, related literature is reviewed and the relationships among knowledge acquisition, technological capability and enterprise performance are analyzed theoretically. And we believe that knowledge acquisition has a positive effect on technological capability and enterprise performance, and technological capability has a mediating effect on the relationship between knowledge acquisition and enterprise performance. And then, the paper, applying data from the survey of 151 enterprises, conducts an empirical study to prove our ideas. And the results indicate that knowledge acquisition can affect enterprise performance directly and through the mediating effect of technological capability.
The Database System Design and Realization of Bohai Sea Quasi-Real-Time Monitoring Environment
Authors: Wang Min
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 02 (2009)

The design is the completion of the design and implementation of the monitoring database based on "Quasi-Real-Time Integrated Monitoring System of Marine Environment of the Bohai Sea", prepared a special security configuration script, realized the two data server to back up each other, served continually after only a few seconds and switched automatically when failure occurred, avoided single point of failure and allowed monitoring after a single failure of the marine environment in real-time database system.
DL-Based the Knowledge Description of Emergency Plan Systems and Its Application
Authors: Dong CunXiang, Wang WenJun, Yang Peng
Venue: Proceedings of the 2009 Third International Conference on Multimedia and Ubiquitous Engineering (2009)

Emergency plans are the substantial foundations to deal with emergency incidents. Emergency plan systems, which are organized sets that are composed of interrelated emergency plans, provide guides for enacting and revising emergency plans. However, the knowledge description of emergency plan systems does not have unambiguous and uniform expressions and result in the semantics clash. Different emergency plan systems can not cooperate, share and reuse each other. This paper provides the knowledge base of emergency plan systems with Description Logic DL to solve these problems. In this paper we analyses the concepts and relations of the emergency plan system in detail, describe the knowledge base of emergency plan systems with DL and also validates this knowledge base by using the DL reasoning services. Finally an experiment is given, in which, a semantic query model based DL is built to account for the application of the emergency plan system knowledge base in semantics search.
Leakage current reduction using subthreshold source-coupled logic
Authors: Armin Tajalli, Yusuf Leblebici
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

The performance of subthreshold source-coupled logic (STSCL) circuits for ultra-low-power applications is explored. It is shown that the power consumption of STSCL circuits can be reduced well below the subthreshold leakage current of static CMOS circuits. STSCL circuits exhibit a better power-delay performance compared with their static CMOS counterparts in situations where the leakage current constitutes a significant part of the power dissipation of static CMOS gates. The superior control on power consumption, in addition to the lower sensitivity to the process and supply voltage variations, makes the STSCL topology very suitable for implementing ultra-low-power low-frequency digital systems in modern nanometer-scale technologies. An analytical approach for comparing the power-delay performance of these two topologies is proposed.
Self-adaptive multimethod search for global optimization in real-parameter spaces
Authors: Jasper A. Vrugt, Bruce A. Robinson, James M. Hyman
Venue: IEEE Transactions on Evolutionary Computation (2009)

Many different algorithms have been developed in the last few decades for solving complex real-world search and optimization problems. The main focus in this research has been on the development of a single universal genetic operator for population evolution that is always efficient for a diverse set of optimization problems. In this paper, we argue that significant advances to the field of evolutionary computation can be made if we embrace a concept of self-adaptive multimethod optimization in which multiple different search algorithms are run concurrently, and learn from each other through information exchange using a common population of points. We present an evolutionary algorithm, entitled A Multialgorithm Genetically Adaptive Method for Single Objective Optimization (AMALGAM-SO), that implements this concept of self adaptive multimethod search. This method simultaneously merges the strengths of the covariance matrix adaptation (CMA) evolution strategy, genetic algorithm (GA), and particle swarm optimizer (PSO) for population evolution and implements a self-adaptive learning strategy to automatically tune the number of offspring these three individual algorithms are allowed to contribute during each generation. Benchmark results in 10, 30, and 50 dimensions using synthetic functions from the special session on real-parameter optimization of CEC 2005 show that AMALGAM-SO obtains similar efficiencies as existing algorithms on relatively simple unimodal problems, but is superior for more complex higher dimensional multimodal optimization problems. The new search method scales well with increasing number of dimensions, converges in the close proximity of the global minimum for functions with noise induced multimodality, and is designed to take full advantage of the power of distributed computer networks.
Jitter analysis and a benchmarking figure-of-merit for phase-locked loops
Authors: Xiang Gao, Eric A. M. Klumperink, Paul F. J. Geraedts, Bram Nauta
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

This brief analyzes the jitter as well as the power dissipation of phase-locked loops (PLLs). It aims at defining a benchmark figure-of-merit (FOM) that is compatible with the well-known FOM for oscillators but now extended to an entire PLL. The phase noise that is generated by the thermal noise in the oscillator and loop components is calculated. The power dissipation is estimated, focusing on the required dynamic power. The absolute PLL output jitter is calculated, and the optimum PLL bandwidth that gives minimum jitter is derived. It is shown that, with a steep enough input reference clock, this minimum jitter is independent of the reference frequency and output frequency for a given PLL power budget. Based on these insights, a benchmark FOM for PLL designs is proposed.
Mining Generalized Actionable Rules Using Concept Hierarchies
Authors: Li-Shiang Tsay, Seunghyun Im
Venue: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC (2009)

A series of mining actionable rule methods have been proposed from various aspects, but the existing models do not incorporate the concept of hierarchy/taxonomy into the mining process and restrict the terms used to build actionable rules to atomic concepts. In order to resolve this problem, an integrated framework for extracting multiple-level actionable rules with ontology support is proposed so more generalized knowledge from data can be extracted. This type of generalized rules will contain not only the attribute values contained in data, but also some concepts encoded in a given taxonomy. Obtaining generalized actionable rules are a necessity since they provide a more general view of the domain. The proposed framework is based on a breadth-first top-downward model to be developed by extending the existing single-level actionable rule discovery methods. This framework can improve the quality of the extracted actionable rules in terms of their interestingness and understandability.
Assisting and assessing the development of technological fluencies: insights from a project-based approach to teaching computer science
Authors: Brigid Barron, Caitlin Martin, Eric Roberts, Alex Osipovich, Michael Ross
Venue: Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community (2002)

University-school partnerships hold great promise for establishing innovative computer-science curricula and investigating how students learn and appropriate technologies for their own use. Here we highlight an interdisciplinary design work and describe a novel approach to the assessment of student growth.