ppxscal/embedding_network huggingface dataset:
LMMSE channel estimation with soft statistics for turbo-MIMO receivers
Authors: Wooram Shin, Seung Joon Lee, Dong-Seung Kwon, Joonhyuk Kang
Venue: IEEE Communications Letters (2009)

Channel estimation techniques for turbo multiple-input multiple-output receivers are addressed, which exploit a priori information to refine the poor performance of initial channel estimates solely using training symbols. We study linear minimum mean squared error channel estimation (LMMSE-CE) using second-order soft statistics to incorporate the degree of decoding reliability. Utilizing this additional information effectively minimizes the error propagation which the maximum likelihood based expectation maximization channel estimation (ML-CE) suffers. The LMMSE-CE provides a smaller mean square error of channel estimation and block error rate than the ML-CE.
Hardware reduction in digital delta-sigma modulators via error masking: part II: SQ-DDSM
Authors: Zhipeng Ye, Michael Peter Kennedy
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

In this two-part paper, a design methodology for reduced-complexity digital delta-sigma modulators (DDSMs) based on error masking is presented. Rules for selecting the wordlengths of the stages in multistage architectures are elaborated. We show that the hardware requirement can be reduced by up to 20% compared with a conventional design, without sacrificing performance. Simulation results confirm theoretical predictions. Part I addresses multistage noise-shaping DDSMs, whereas Part II focuses on single-quantizer DDSMs.
Transaction synchronization protocol using XML in client-server environment
Authors: Noman Zahid, Muhammad Shahid Ansari, Kyung-Goo Doh
Venue: Proceeding of the ACM first international workshop on Data-intensive software management and mining (2009)

The problem of transaction synchronization is important in XML-based applications based on client-server model, especially when both server and clients are allowed to store data. When clients modify their local database, writing this transaction back to the server and to all other clients requires transaction synchronization. To achieve reliable and efficient transaction synchronization, there is a need for some sort of efficient protocol that can guarantee the synchronization of databases on the server and all clients. In this paper, a protocol is proposed for transaction synchronization using XML database and XML as a transfer medium between the server and clients. Importantly, this protocol can be used in any type of database with XML as a data transfer medium using some kind of database mapping from any database to XML. This protocol significantly reduces the cost of data transfer between server and clients, thus increasing efficiency.
Instruction production model based on the multimedia learning theory
Authors: Chang-Yen Lai, Wen-Ching Liou
Venue: Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education (2007)

Researches on multimedia learning from multiple representations focused primarily on integrations of texts and pictures according to Paivio's dual coding theory. Mayer and Moreno defined multimedia instruction as presenting words and pictures intended to foster learning. Procedures to make proprietary contents exportable to open standard followed and got published. However, the link between multimedia instruction design and learning contents transformation was still very weak and had to overcome this research gap. We took multimedia learning theory and cognitive overload into consideration, and proposed an instruction production model based on multimedia learning theory to decrease building cost and to improve quantity and quality of outputs. The research included full-text databases for Chinese ancient documents in Academia Sinica as well as "Flickr" as a research object to build multimedia instructions composed of textural and graphical contents. The results indicated the availability of our model. Some derived issues were discussed as well.
Fostering knowledge construction in university students through asynchronous discussion groups
Authors: Tammy Schellens, Martin Valcke
Venue: Computers Education (2006)

Does collaborative learning in asynchronous discussion groups result in enhancing academic discourse and knowledge construction? This general research question has been researched in a study involving 300 students, working during six months in 38 electronic discussion groups. The transcripts of the discussions were coded and analysed to test hypotheses related to the impact on knowledge construction. Coding of the units of analysis was based on the models of Fahy, P. J., Crawford, G., Ally, M., Cookson, P., Keller, V., & Prosser, F. (2000). The development and testing of a tool for analysis of computer mediated conferencing transcripts. Alberta Journal of Educational Research, 46(1), 85-88 and Veerman, A., & Veldhuis-Diermanse E. (2001). Collaborative learning through computer-mediated communication in academic education. In P. Dillenbourg, A. Eurelings, & K. Hakkarainen (Eds.), European Perspectives on Computer-Supported Collaborative Learning. Proceedings of the First European Conference on CSCL. Maastricht: McLuhan Institute, University of Maastricht. The results confirm that students in the discussion groups are very task-oriented and that higher proportions of high phases of knowledge construction are observed. Significant increases in the cognitive interaction, task-orientation and higher phases of knowledge construction are detected. Group size is a significant interaction variable. Discussion in smaller groups reflects larger proportions of higher levels of knowledge construction. The results point at the critical impact of structure in the task environment. In the discussion section, methodological issues are presented. The article concludes with directions for future research and some implications for instructional practice.
Ontology for the Object Recognition in Images
Authors: Bin Zheng, Lina Huang, Xinhai Lu
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01 (2009)

Object reconstruction from images is an actual research topic in computer vision, photogrammetry and spatial information science. Ontology can provide all necessary support we needed for its natural language appearance and flexible hierarchy structure. However, most current relative studies on field ontology are deduced from philosophical theme and not applicable for the raster expression-which is actually a kind of field-like phenomenon but does not physically coincide to the general concept of philosophical field. That's why we specifically discuss the pixel-based ontology in this paper. The discussion starts at the investigation of the physical characteristics of the pixel-based objects along with the processing of its compare to the philosophical field ontology terms. Then a unified pixel-based ontology framework for the recognition of the pixel-based objects is introduced, from which the connection of the human epistemology and the computer world is built for better knowledge discovery and sharing.
Multiscale analysis of document corpora based on diffusion models
Authors: Chang Wang, Sridhar Mahadevan
Venue: Proceedings of the 21st international jont conference on Artifical intelligence (2009)

We introduce a nonparametric approach to multiscale analysis of document corpora using a hierarchical matrix analysis framework called diffusion wavelets. In contrast to eigenvector methods, diffusion wavelets construct multiscale basis functions. In this framework, a hierarchy is automatically constructed by an iterative series of dilation and orthogonalization steps beginning with an initial set of orthogonal basis functions, such as the unitvector bases. Each set of basis functions at a given level is constructed from the bases at the lower level by dilation using the dyadic powers of a diffusion operator. A novel aspect of our work is that the diffusion analysis is conducted on the space of variables (words), instead of instances (documents). This approach can automatically and efficiently determine the number of levels of the topical hierarchy, as well as the topics at each level. Multiscale analysis of document corpora is achieved by using the projections of the documents onto the spaces spanned by basis functions at different levels. Further, when the input term-term matrix is a "local" diffusion operator, the algorithm runs in time approximately linear in the number of non-zero elements of the matrix. The approach is illustrated on various data sets including NIPS conference papers, 20 Newsgroups and TDT2 data.
A logic of delegation
Authors: Timothy J. Norman, Chris Reed
Venue: Artificial Intelligence (2010)

Delegation is a foundational concept for understanding and engineering systems that interact and execute tasks autonomously. By extending recent work on tensed action logic, it becomes possible to pin down a specific interpretation of responsibility with a well specified semantics and a convenient and intuitive logic for expression. Once descriptions of direct agent responsibility can be formed, there is a foundation upon which to characterise the dynamics of how responsibility can be acquired, transferred and discharged and, in particular, how delegation can be effected. The resulting logic, designed specifically to cater for responsibility and delegation, can then be employed to offer an axiological and semantic exploration of the related concepts of forbearance, imperatives and group communication.
Identification of low/high retrievable patents using content-based features
Authors: Shariq Bashir, Andreas Rauber
Venue: Proceeding of the 2nd international workshop on Patent information retrieval (2009)

Document retrievability is a measurement used in information retrieval for identifying the bias of retrieval systems. In order to measure system bias for a specific document collection, an exhaustive set of queries is processed, measuring the frequency with which each document is retrieved. For better understanding and handling system bias, we need to understand the characteristics of documents that influence retrievability, and ideally be able to identify documents with high and low retrievability in advance. For this purpose, we identify a number of content-based features, which can be used effectively to classify a corpus into documents with low and high retrievability w.r.t a specific retrieval system. Our experiments on patent collections show that these features can achieve more than 80% classification accuracy on different systems, and hint at the need to combine different retrieval systems for optimizing recall.
Low-complexity centralized joint power and admission control in cognitive radio networks
Authors: Hong-Yu Gu, Chen-Yang Yang, Bernard Fong
Venue: IEEE Communications Letters (2009)

This letter introduces a centralized joint power and admission control algorithm for cognitive radio networks. Its novelty lies in the proposed admission metric. Unlike those in existing algorithms, our metric predetermines the admission order of N secondary users which intend to access the network. This allows us to search a group of admitted secondary users with the bisection method. The proposed algorithm is shown by simulation to achieve a comparable performance to existing algorithms, and the computational complexity is reduced from O(N3) to O(N2log2N).
Approaching Blokh-Zyablov error exponent with linear-time encodable/decodable codes
Authors: Zheng Wang, Jie Luo
Venue: IEEE Communications Letters (2009)

Guruswami and Indyk showed in [1] that Forney's error exponent can be achieved with linear coding complexity over binary symmetric channels. This paper extends this conclusion to general discrete-time memoryless channels and shows that Forney's and Blokh-Zyablov error exponents can be arbitrarily approached by one-level and multi-level concatenated codes with linear encoding/decoding complexity. The key result is a revision to Forney's general minimum distance decoding algorithm, which enables a low complexity integration of Guruswami-Indyk's outer codes into the concatenated coding schemes.
Analysis of Analog Circuit Subnet Tearing and Mensurability
Authors: Wang Kai, Jia Xiaojing, Cheng Li, Tian Qi
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 01 (2009)

Network torn is a key method in analog circuit fault diagnose. Generally, all torn terminals must be mensurability in implementing network tearing. In accordance with the restrictions, presentsing partition conditions of solvable subnet those partial torn terminals inaccessible, this paper analyze mensurability of subnet to lay the groundwork of further fault location.
A highly efficient cipher processor for dual-field elliptic curve cryptography
Authors: Jyu-Yuan Lai, Chih-Tsun Huang
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

This brief presents a high-throughput dual-field elliptic-curve-cryptography (ECC) processor that features all ECC functions with the programmable field and curve parameters over both the prime and binary fields. The proposed architecture is parallel and scalable. Using 0.13-µm CMOS technology, the core size of the processor is 1.44 mm2. The measured results show that our ECC processor can perform one 160-bit point scalar multiplication with coordinate conversion over the prime field in 608 µS at 121 MHz with only 70.0 mW and the binary field in 372 µS at 146 MHz with 82.1 mW. The ECC processor chip out-performs other ECC hardware designs in terms of functionality, scalability, performance, cost effectiveness, and power consumption. In addition, the system analysis shows that our design is very efficient, compared with the software implementation for realistic security applications.
Markerless human motion analysis in Gauss–Laguerre transform domain: an application to sit-to-stand in young and elderly people
Authors: Michela Goffredo, Maurizio Schmid, Silvia Conforto, Marco Carli, Alessandro Neri, Tommaso D’Alessio
Venue: IEEE Transactions on Information Technology in Biomedicine (2009)

A markerless computer vision technique specifically designed to track natural elements on the human body surface is presented. The method implements the estimate of translation, rotation, and scaling by means of a maximum likelihood approach carried out in the Gauss-Laguerre transform domain. The approach is particularly suitable for human movement analysis in clinical contexts, where kinematics is at present performed by means of marker-based systems. Specific drawbacks of these latter systems, such as the burden of time for marker placement and the intrinsic intrusive nature, would be removed by the proposed method. Experimental results in terms of tracking performance are obtained by analyzing video sequences capturing the execution of the sit-to-stand task in two groups of young and elderly volunteers. The results are compared with clinical studies that used marker-based systems, and are particularly encouraging for a future extension of the approach to other motor tasks and to predict scores obtained from the physical performance batteries that are widely and regularly used by clinicians and physical therapists.
Use of XML and Java for collaborative petroleum reservoir modeling on the Internet
Authors: John Victorine, W. Lynn Watney, Saibal Bhattacharya
Venue: Computers Geosciences (2005)

The GEMINI (Geo-Engineering Modeling through INternet Informatics) is a public-domain, web-based freeware that is made up of an integrated suite of 14 Java-based software tools to accomplish on-line, real-time geologic and engineering reservoir modeling. GEMINI facilitates distant collaborations for small company and academic clients, negotiating analyses of both single and multiple wells. The system operates on a single server and an enterprise database. External data sets must be uploaded into this database. Feedback from GEMINI users provided the impetus to develop Stand Alone Web Start Applications of GEMINI modules that reside in and operate from the user's PC. In this version, the GEMINI modules run as applets, which may reside in local user PCs, on the server, or Java Web Start. In this enhanced version, XML-based data handling procedures are used to access data from remote and local databases and save results for later access and analyses. The XML data handling process also integrates different stand-alone GEMINI modules enabling the user(s) to access multiple databases. It provides flexibility to the user to customize analytical approach, database location, and level of collaboration. An example integrated field-study using GEMINI modules and Stand Alone Web Start Applications is provided to demonstrate the versatile applicability of this freeware for cost-effective reservoir modeling.
Performance analysis of dual MRC receiver in correlated Hoyt fading channels
Authors: Rupaban Subadar, P. R. Sahu
Venue: IEEE Communications Letters (2009)

Performance of a dual maximal ratio combining receiver has been analyzed in correlated Hoyt fading channels. Analytical expressions for the probability density function of the receiver output signal-to-noise ratio (SNR), average SNR, outage probability and average bit error rate performance for binary, coherent and non-coherent modulations have been presented. Numerical results show that for coherent phase shit-keying and differential phase shift-keying modulations, to achieve an ABER of 10-7, the required excess SNR is relatively small for correlation coefficient (ρ) less than 0.5 than it is for ρ > 0.5.
A Capacity Optimization Algorithm for Network Survivability Enhancement
Authors: Lina Wang, Furong Zhou, Chi Guo, Xiaoying Zhang, Mo Yang
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01 (2009)

Load-Capacity models are usually used for analyzing the network fault-tolerance and survivability. The node's capacity reflects its redundant resources. We propose an evolutionary algorithm to search an optimized capacity allocation strategy, which makes the network achieve optimal robustness with the same resources. Our algorithm is implemented by the following two steps repeatedly: (1) Construct a new capacity allocation strategy by transferring the capacity among network nodes; and (2) Evaluate the network robustness and then decide whether or not to accept this strategy. It can be considered as a process of simulated annealing. We find that the Load-Capacity relationship seems to be neither the linear nor the preferential-attachment relation. Our works can provide algorithm support for trustworthy network design and the information security emergency response.
3DINVER.M: a MATLAB program to invert the gravity anomaly over a 3D horizontal density interface by Parker-Oldenburg's algorithm
Authors: David Gómez-Ortiz, Bhrigu N. P. Agarwal
Venue: Computers Geosciences (2005)

A MATLAB source code 3DINVER.M is described to compute 3D geometry of a horizontal density interface from gridded gravity anomaly by Parker-Oldenburg iterative method. This procedure is based on a relationship between the Fourier transform of the gravity anomaly and the sum of the Fourier transform of the interface topography. Given the mean depth of the density interface and the density contrast between the two media, the three-dimensional geometry of the interface is iteratively calculated. The iterative process is terminated when either the RMS error between two successive approximations is lower than a pre-assigned value-used as convergence criterion, or until a pre-assigned maximum number of iterations is reached. A high-cut filter in the frequency domain has been incorporated to enhance the convergence in the iterative process. The algorithm is capable of handling large data sets requiring direct and inverse Fourier transforms effectively. The inversion of a gravity anomaly over Brittany (France) is presented to compute the Moho depth as a practical example.
Aggregate analysis of manufacturing systems using system dynamics and ANP
Authors: Daniel Tesfamariam, Bengt Lindberg
Venue: Computers and Industrial Engineering (2005)

Aggregate analysis in manufacturing system design is a useful approach to relegate the non-feasible alternatives at earlier stages. A reusable System Dynamics model and the Analytic Network Process is proposed for a rapid and strategically consistent decision-making. The SD model captures the causal relationships and interdependence of the factors that can be simulated while the ANP provides the preferences towards the performance objectives consistent to the strategic objectives. The basis for the SD and ANP is the Causal Loop Diagram (CLD) that shows the relevant relationships and feedbacks among the model parameters. The approach is exemplified via a case to select the best among competing system configurations.
Obtaining dip and susceptibility information from Euler deconvolution using the Hough transform
Authors: G. R. J. Cooper
Venue: Computers Geosciences (2006)

Euler deconvolution is a semi-automatic interpretation technique that is used to provide estimates of source locations from aeromagnetic and gravity data. In 2001 Mushayandebvu and coauthors introduced an extended Euler deconvolution that estimated both the dip and susceptibility-thickness product of thin dyke models, and the dip and susceptibility of contact models. However, the method is complex and can be difficult to implement in practise. An alternative approach is suggested here, which estimates the dip and susceptibility information in a simple and robust manner using the Hough transform, and which additionally provides a simple measure of the solution reliability. Matlab source code for the application of the method to the thin dyke model is available from the IAMG server at www.iamg.org.
An Approach to Explore Effective Customer-Centric E-government
Authors: Han-yuh Liu, Shih-yu Fang
Venue: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC (2009)

Global competitiveness reports all rated Taiwan's Government excellent in e-services. According to 203 effective questionnaires with a valid response rate of 20.3% from 77 award-winning governments on service excellence in Taiwan,this study found: • CRM readiness significantly affects the e-government business model, and strongly affects customer equity through the egovernment business model. The effect of the e-government business model on customer equity is strong as well. • Leadership, information process maturity, employee engagement and customer-centric policy to the CRM readiness, innovation, customer interface, CRM-related budget and ICT infrastructure to the e-government business model, value equity, brand equity and relationship equity to the customer equity are all drivers respectively to effective egovernment in Taiwan. Among the drivers, leadership,innovation and relationship equity are the most critical ones for success.By using these insights, governments will have to find better solutions and configure budget priorities to keep ahead of CRM initiatives, take advantage of new investment and service provisioning on diversified service channel and create e-government business models to manage customer equity as valuable assets.