ppxscal/embedding_network huggingface dataset:
Cognitive legacy networks via cooperative diversity
Authors: Ioannis Krikidis, Zhanwei Sun, J. Nicholas Laneman, John Thompson
Venue: IEEE Communications Letters (2009)

In this letter, we deal with the cognitive radio (CR) concept for legacy primary links optimized for noninterference surroundings. In this type of network, primary destinations are not able to deal with possible interference and a missed cognitive detection significantly reduces the system performance. The enhancement of the primary network with cooperative diversity in addition to the well-known diversity gain for the primary link improves the sensing ability of the system and protects the primary user from possible interference. The proposed solution provides CR benefits without complicated network modifications and seems to be an attractive solution for future legacy networks.
PASDS Plus PPAT Indexing Method for Multimedia Data
Authors: Ben Wang, Dongyuan Gu, Dongyong Yang, Jian Zhang
Venue: Proceedings of the 2009 Second International Symposium on Knowledge Acquisition and Modeling - Volume 02 (2009)

Indexing and query multimedia data is a challenging problem due to the high dimension of multimedia data. Clustering-based indexing structures are quite efficient for high-dimensional data indexing. Unfortunately, clustering-based indexing structures are normally static, and the whole structures have to be rebuilt after inserting new data. To resolve this issue, a two-level indexing method, called PASDS plus PPAT method, has been developed in this paper. In the PASDS level, clusters and their subspaces can be partially updated, while the indexing trees within the clusters are able to be partially updated at the PPAT level. By choosing proper number of children nodes, the proposed method can balance query accuracy and indexing efficiency. From experiments, the PASDS plus PPAT method is very efficient for updating clusters and inner indexing structures for newly inserted data, while its query accuracy and query time are almost the same with similar dynamic indexing methods.
Multistream faster than Nyquist signaling
Authors: Fredrik Rusek, John B. Anderson
Venue: IEEE Transactions on Communications (2009)

We extend Mazo's concept of faster-than-Nyquist (FTN) signaling to pulse trains that modulate a bank of sub-carriers, a method called two dimensional FTN signaling. The signal processing is similar to orthogonal frequency division multiplex (OFDM) transmission but the subchannels are not orthogonal. Despite nonorthogonal pulses and subcarriers, the method achieves the isolated-pulse error performance; it does so in as little as half the bandwidth of ordinary OFDM. Euclidean distance properties are investigated for schemes based on several basic pulses. The best have Gaussian shape. An efficient distance calculation is given. Concatenations of ordinary codes and FTN are introduced. The combination achieves the outer code gain in as little as half the bandwidth. Receivers must work in two dimensions, and several iterative designs are proposed for FTN with outer convolutional coding.
Improved Frey chaotic digital encoder for trellis-coded modulation
Authors: Calin Vladeanu, Safwan EI Assad, Jean-Claude Carlach, Raymond Quéré
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

In this brief, nonlinear digital filters with finite precision are analyzed as recursive systematic convolutional (RSC) encoders. An infinite-impulse-response (IIR) digital filter with finite preciston (wordlength of N bits) is a rate-1 RSC encoder over a Galois field GF(2N). The Frey chaotic filter is analyzed for different wordlengths N, and it is demonstrated that the trellis performances can be enhanced by proper filter design. Therefore, a modified definition for the encoding rate is provided, and a trellis design, method is proposed for the Frey filter, which consists of reducing the encoding rate from 1 to 1/2. This trellis optimization partially follows Ungerboeck's rules, i.e., increasing the performances of the encoded chaotic transmission in the presence of noise. In fact, it is demonstrated that for the same spectral efficiency, the modified Frey encoder outperforms the original Frey encoder only for N = 2. To show the potential of these nonlinear encoders, it is demonstrated that a particular nonlinear digital filter Over GF (4) is equivalent to a GF (2) conventional optimum RSC encoder. The symbol error rate (SER) is estimated for all the proposed schemes, and the results show the expected coding gains as compared to their equivalent nonencoded and linear versions.
Human related issues in manufacturing cell design, implementation, and operation: a review and survey
Authors: Bopaya Bidanda, Poonsiri Ariyawongrat, Kim LaScola Needy, Bryan A. Norman, Wipawee Tharmmaphornphilas
Venue: Computers and Industrial Engineering (2005)

The application of cellular manufacturing in batch-type environments is a well-known manufacturing strategy that typically improves manufacturing efficiency by utilizing the philosophy of group technology. It is also important that for the successful implementation of cellular manufacturing, that one focuses both on technical issues (cell formation and design) and human issues. Unfortunately, human issues are typically not examined as rigorously as often as technical issues. This paper presents an overview and evaluation of the diverse range of human issues involved in cellular manufacturing based on an extensive literature review. Further, a survey to determine the importance of eight different human issues in cellular manufacturing was administered to a sample of academics, managers, and workers involved in cellular design and implementation results are presented and discussed.
Design of FM Wireless Transmitter Circuit Parameters Base on SP1417
Authors: Xiaoyan Jiang, Yujun Bao
Venue: Proceedings of the 2009 Second International Symposium on Knowledge Acquisition and Modeling - Volume 03 (2009)

The SP1417 is a FM stereo transmitter ASIC, it is applicable to the wireless audio adapter of wireless stereo speakers, wireless headphones, CD, MP3, DVD, PAD, notebook computers and so on. The principle of SP1417 is introduced. Oscillation circuit and the way of reducing noises are given.
The Design and Implementation of Marketing Management System for Manufacturing Firms
Authors: Li Chuang
Venue: Proceedings of the 2009 Second International Symposium on Knowledge Acquisition and Modeling - Volume 01 (2009)

The opinion and competition style of traditional business management theory is that the core competitiveness of manufacturing firms is the capacity of production and processing, so that the enterprise managers mainly concern about production management and external business management. On the contrary, marketing management of these enterprises is paid less attention. Therefore, the paper designed marketing management system of manufacturing firms based on the new international competition situation and put forward the detailed implementation scheme, in order to help these manufacturing firms to transfer their traditional operating mode into informationization mode as soon as they could, and finally achieve stronger core competitiveness.
Automated data acquisition and FEM virtual experiments in teaching medical biophysics
Authors: Jiri Zahora, Josef Hanus, Vladimir Masin, Ales Bezrouk
Venue: Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education (2007)

In this work possibilities of improvement of teaching medical biophysics are analyzed. The analysis of pedagogical specificity of teaching this subject at medical faculty is done. One of the problems is insufficient mathematical and physical background of students. The aim is to prepare the more illustrative and realistic teaching. It is also recommended to work with real data as often as it is possible. One way to improve the teaching process is using software for finite elements method. It is used for preparation of materials for virtual experiments in the field of the blood circulation. A set of virtual experiments was prepared. The experiments are based on analysis of images with graphical presentation of some typical situation in circulatory system. The systems for automated measurement and data acquisition were introduced into practical part of the course. Some of them are based on the commercial clinical devices (automated perimetry, automated audiometry, spirometry, ECG recording) some systems were developed at our department (measurement of the minimal angle resolution of the eye, automated measurement of the mechanical properties of the wire spiral stent).
Bounds on covering codes with the rank metric
Authors: Maximilien Gadouleau, Zhiyuan Yan
Venue: IEEE Communications Letters (2009)

In this paper, we investigate geometrical properties of the rank metric space and covering properties of rank metric codes. We first establish an analytical expression for the intersection of two balls with rank radii, and then derive an upper bound on the volume of the union of multiple balls with rank radii. Using these geometrical properties, we derive both upper and lower bounds on the minimum cardinality of a code with a given rank covering radius. The geometrical properties and bounds proposed in this paper are significant to the design, decoding, and performance analysis of rank metric codes.
Annotating wikipedia articles with semantic tags for structured retrieval
Authors: Saravadee Sae Tan, Tang Enya Kong, Gian Chand Sodhy
Venue: Proceeding of the 2nd ACM workshop on Social web search and mining (2009)

Structured retrieval aims at exploiting the structural information of documents when searching for documents. Structured retrieval makes use of both content and structure of documents to improve information retrieval. Therefore, the availability of semantic structure in the documents is an important factor for the success of structured retrieval. However, the majority of documents in the Web still lack semantically-rich structure. This motivates us to automatically identify the semantic information in web documents and explicitly annotate the information with semantic tags. Based on the well-known Wikipedia corpus, this paper describes an unsupervised learning approach to identify conceptual information and descriptive information of an entity described in a Wikipedia article. Our approach utilizes Wikipedia link structure and Infobox information in order to learn the semantic structure of the Wikipedia articles. We also describe a lazy approach used in the learning process. By utilizing the Wikipedia categories provided by the contributors, only a subset of entities in a Wikipedia category is used as training data in the learning process and the results can be applied to the rest of the entities in the category.
A Very Fast Converge Method for Geometric Constraint Solving
Authors: Hua Yuan, Xin Chang, Kong Zhao, Wenhui Li
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 02 (2009)

This paper introduces a modified PSO, Gradient Particle Swarm Optimizer (GPSO), for geometric constraint solving. GPSO combines the merits of global search of the PSO and the sheer convergence capacity of gradient algorithm, the most prominent iterative method for linear equations. GPSO uses PSO to search the area where the best solution may exist in the whole space, and then performs fine searching. When the algorithm approaches to the best solution and the search speed is too slow, we can change to the effective search strategy—gradient algorithm in order to enhance the ability of the particle swarm optimization on fine searching. By using the gradient algorithm, GPSO has shown remarkable performance against the prematurely convergence situation. We apply this new algorithm into the geometric constraint solving. The detailed performance analysis of this new approach has been done as well in terms of program execution time, relative speed up and efficiency. Our result and comparison with PSO show that GPSO is highly competitive with conventional PSO.
Effect of joint spatial correlation on the diversity performance of space-time block codes
Authors: Youngmin Jeong, Hyundong Shin
Venue: IEEE Communications Letters (2009)

We characterize the effect of joint spatial correlation on the diversity performance of multiple-input multiple-output (MIMO) systems. The joint spatial correlation is structured by the coupling matrix whose elements determine the average power coupling between the transmit and receive eigenmodes. We first derive the closed-form expression for the exact symbol error probability (SEP) of orthogonal space-time block codes over jointly correlated MIMO Rayleigh-fading channels. We then show that the achievable diversity order is equal to the number of nonzero elements of the power coupling matrix and establish the Schur monotonicity theorems on the SEP and the effective fading figure as a functional of elements of the power coupling matrix.
Learning Hybrid Template by EM-Type Algorithm
Authors: Bin Lai, Deng-Yi Zhang, Cheng-Zhang Qu, Jian-Hui Zhao, Zhi-Yong Yuan
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01 (2009)

The article proposes to improve the active basis model by incorporating both unaligned training examples and non-alignable sketches in images. EM-type algorithm [8] can learn the objects appear at unknown orientations, locations and scales in the training images. And non-alignable sketches [11] can be summarized in average sketches over the image lattice. This article proposes to add the score of the non-alignable sketches to the likelihood of M-step, so the learned active basis model by EM-type algorithm should be more accurate. Our experiments show that the proposed model can achieve considerable improvement in ROC for most of object categories.
General Method to Build Deterministic Small-World Networks Based on Cayley Graph
Authors: Zhen Zhang, Wenjun Xiao, Xiaoming Wang
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 01 (2009)

Many real-life networks, such as the WWW, biological realms, and social networks are small-world networks. Most previous researches on small-world networks have been based on probabilistic methods. In this paper, we present a general method by using Cayley graph to build deterministic small-world networks. We also analyze the cluster topology of the Cayley graph with small world properties by constructing its left Coset graph. This method has great value in constructing interconnection networks model and analyzing many other real network models.
Detecting Unknown Malicious Executables Using Portable Executable Headers
Authors: Tzu-Yen Wang, Chin-Hsiung Wu, Chu-Cheng Hsieh
Venue: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC (2009)

Even though numerous kinds of anti-virus software packages have been used for many years, previously unseen malware is still a serious threat to computer and information system. By analyzing portable executable header entries of executables, a malware detection model which consists of four stages: attribute extraction, attribute binarization, attribute elimination, and feature selection and classifier training was carried out in this study. First, we collected header entries from all executables in our dataset and viewed each entry as a potential attribute. Second, information gain and gain ratio were used to binarize numerical and nominal attributes. Next, useless and redundant attributes were eliminated in the third stage. Finally, by using support vector machine which is a classification algorithm of conspicuous generalization ability, feature selection was simultaneously performed with classifier training to reduce the number of attributes and retain the performance of classifier in a cost-effective. We evaluated our model by 1,908 benign programs and 7,863 malicious files (virus, email worm, trojan and backdoor) and estimated its generalization ability by cross validation. The experiment results showed that our model had promising performance for detecting virus and email worm.
The use of e-learning technologies for the delivery of VET: Anadolu University e-platform
Authors: A. Ekrem Ozkul
Venue: Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education (2007)

Vocational Education and Training (VET) is one of the highest priority educational issues among the countries due to its impact on the economic growth and development. Education is the instrument of fostering the knowledge, skills and attitudes of the people to become productive and socially recognized members of the society. However the transition to knowledge economy necessitates the revision of the educational paradigms of the industrialized society. In other words the educational systems must be restructured using the instruments of the knowledge economy to transform into a knowledge based society. Use of information and communication technologies (ICT) has brought enormous opportunities in every field as it is in education and provides the necessary tools to accomplish this transformation. The purpose of the paper is to explore the quality and quantity improvement potential of employing e-learning technologies in VET. After identifying the characteristics of VET in a knowledge based economy the issues that make the e-learning approach an imperative for today's VET systems will be highlighted. Then the tools of e-learning will be identified and the components of an e-learning model at Anadolu University-Turkey will be introduced.
Pinning a complex delayed dynamical network to a homogenous trajectory
Authors: Junchan Zhao, Jun-An Lu, Qunjiao Zhang
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

Time delay exists in many fields, such as biology, neural network, mechanics, ecology, and so on. It is important for us to investigate the control of interconnected time-delay systems. In this brief, we propose two schemes to pin a complex delayed dynamical network to a homogenous trajectory. In particular, we prove that the delayed dynamical network is asymptotically synchronized with linear feedback control, and it is exponentially asymptotically synchronized with adaptive feedback controllers. We also find that the number of pinned nodes satisfies an inequality for synchronization. Additionally, the coupling matrix is not necessarily symmetric, and the pinned nodes can randomly be selected. Moreover, the linear feedback gain need not be large. Finally, two well-known network models are provided as illustrative examples to confirm the effectiveness of the technique.
Multiuser detection of alamouti signals
Authors: Chee Wei Tan, A. Robert Calderbank
Venue: IEEE Transactions on Communications (2009)

In a MIMO multiple-access channel where users employ Space-Time Block Codes (STBC), interference cancellation can be used to suppress co-channel interference and recover the desired signal of each user at the receiver. Leveraging the special properties of Alamouti matrices, we first show that spatial multiplexing of Alamouti signals retains the space-time diversity gain of Alamouti signaling using our proposed low-complexity Alamouti BLAST-MMSE (A-BLAST) Algorithm. Next, in contrast to traditional transmit diversity that focuses on STBC construction at the transmitter, this paper looks at transmit diversity from the perspective of the receiver. In other words, the receiver gets to choose the STBC's, which are favourable to the channel assuming a fixed BLAST receive algorithm. In a multiuser MAC setting, we first present a systematic methodology to exploit different decomposition structure in Alamouti matrices, each with different tradeoff between performance and decoding complexity using possibly different MIMO receive algorithms. We then demonstrate that the notion of angles (the inner product of two quaternionic vectors) between multiuser channels determines the performance of MIMO receive algorithms. As an application of the general theory, we transform the decoding problem for several types of Quasi-Orthogonal STBC (QOSTBC) into multiuser detection of virtual Alamouti users. Building upon our A-BLAST Algorithm, we propose new algorithms for decoding single-user and multiuser QOSTBC. In particular, we show that bit error probability is a function of the quaternionic angle between virtual users (for a single user) or multiple users. This angle varies with the type of QOSTBC and leads to a new form of adaptive modulation called code diversity, where feedback instructs the transmitter how to choose from a plurality of codes.
Novel conversion matrices for simplifying the IFFT computation of an SLM-based PAPR reduction scheme for OFDM systems
Authors: Chin-Liang Wang, Sheng-Ju Ku
Venue: IEEE Transactions on Communications (2009)

There have been a set of conversion matrices proposed recently by Wang and Ouyang to simplify the inverse fast Fourier transform (IFFT) computation involved in the selected mapping (SLM) scheme for reduction of the peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems. As compared to the conventional SLM scheme, the modified approach achieves close PAPR reduction with much lower complexity but degraded bit error rate (BER) performance. In this paper, we propose a new set of conversion matrices for the SLM scheme such that the complexity can be reduced without sacrificing the BER performance. It is shown that the improved SLM method has better BER performance and lower complexity than the previous work by Wang and Ouyang, at the cost of a slight PAPR reduction loss.
Evolutionary algorithms for scheduling a flowshop manufacturing cell with sequence dependent family setups
Authors: Paulo M. França, Jatinder N. D. Gupta, Alexandre S. Mendes, Pablo Moscato, Klaas J. Veltink
Venue: Computers and Industrial Engineering (2005)

This paper considers the problem of scheduling part families and jobs within each part family in a flowshop manufacturing cell with sequence dependent family setups times where it is desired to minimize the makespan while processing parts (jobs) in each family together. Two evolutionary algorithms-a Genetic Algorithm and a Memetic Algorithm with local search-are proposed and empirically evaluated as to their effectiveness in finding optimal permutation schedules. The proposed algorithms use a compact representation for the solution and a hierarchically structured population where the number of possible neighborhoods is limited by dividing the population into clusters. In comparison to a Multi-Start procedure, solutions obtained by the proposed evolutionary algorithms were very close to the lower bounds for all problem instances. Moreover, the comparison against the previous best algorithm, a heuristic named CMD, indicated a considerable performance improvement.
Does Google Have Too Much Money?
Authors: Shane Greenstein
Venue: IEEE Micro (2009)

For some time the blogosphere has made a ruckus over Google's growing power in the commercial Web. Such concerns probably would have arisen even if the world's developed economies were not in the midst of a painful macroeconomic nadir. In such dismal conditions, however, this extraordinary young firm's wealth makes it a natural target for envy and scrutiny. Is it a problem when a fabulously wealthy firm uses its money to explore grand new projects? If there is an economic problem, it is this: the firm has too much money.
Eliminating small stopping sets in irregular low-density parity-check codes
Authors: Xiaopeng Jiao, Jianjun Mu, Jing Song, Lihua Zhou
Venue: IEEE Communications Letters (2009)

We present a novel scheme to eliminate small stopping sets in irregular low-density parity-check (LDPC) codes. By adding several new check nodes and having their edges connected to small stopping sets in the original code, the improved code decreases the number of small stopping sets efficiently. Simulation results show that the proposed scheme decreases the frame error rate (FER) significantly in the error floor region, whereas having almost the same rate as the original code.