ppxscal/embedding_network huggingface dataset:
The Search Engine for Articles and Multimedia in Blogs
Authors: Shu-Chen Cheng, Kao-Pin Huang, Yun-Chung Chen
Venue: Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing (2008)

Since the development of information technology and internet, more and more people share multimedia files via internet, including images, animation or music. Blogs have become one of the means to share multimedia, life and study experiences on internet. Nowadays, there are quite huge amount of texts and multimedia in blogs. The quality of contents of blogs is so ragged that this phenomenon somehow would lead to negative influence on the blogs' learners. This research attempts to utilize the features of articles and multimedia to categorize multimedia in blogs. This system reveals that to effectively separate the quintessence and rubbish multimedia can improve learners' quality of learning by obtaining quintessence articles and multimedia effectively.
A practical joint network-channel coding scheme for reliable communication in wireless networks
Authors: Zheng Guo, Jie Huang, Bing Wang, Jun-Hong Cui, Shengli Zhou, Peter Willett
Venue: Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing (2009)

In this paper, we propose a practical scheme, called Non-Binary Joint Network-Channel Decoding (NB-JNCD) for reliable communication in wireless networks. It seamlessly couples channel coding and network coding, and can effectively combat the detrimental effect of fading of wireless channels, especially in large networks. On a high order Galois field, NB-JNCD combines non-binary LDPC channel coding and random linear network coding through iterative joint decoding, which helps fully exploit the spatial diversity and redundancy residing in both codes. Furthermore, the scheme can unify non-binary source coding and high order modulation without the need of any bit-to-symbol conversion and its inverse. Through analysis and simulation, we demonstrate the significant performance improvement of NB-JNCD against other schemes.
Detecting cultural differences using consumer-generated geotagged photos
Authors: Keiji Yanai, Keita Yaegashi, Bingyu Qiu
Venue: Proceedings of the 2nd International Workshop on Location and the Web (2009)

We propose a novel method to detect cultural differences over the world automatically by using a large amount of geotagged images on the photo sharing Web sites such as Flickr. We employ the state-of-the-art object recognition technique developed in the research community of computer vision to mine representative photos of the given concept for representative local regions from a large-scale unorganized collection of consumer-generated geotagged photos. The results help us understand how objects, scenes or events corresponding to the same given concept are visually different depending on local regions over the world.
Optimizing Memory Access Latencies on a Reconfigurable Multimedia Accelerator: A Case of a Turbo Product Codes Decoder
Authors: Samar Yazdani, Thierry Goubier, Bernard Pottier, Catherine Dezan
Venue: Proceedings of the 5th International Workshop on Reconfigurable Computing: Architectures, Tools and Applications (2009)

In this paper, we present an implementation of a turbo product codes (TPC) decoder achieved on a novel Reconfigurable Multimedia Accelerator (RMA). The RMA is based on the principle of hierarchical shared memory storage managed through a dedicated local controller favoring high data throughput, while squeezing round-trip memory latencies. The mapping methodology facilitates the characterization of the RMA for a TPC decoder in terms of the communication and computation resources.
A Practical VCR Technique of Preventing Computer Viruses' Creeping in Networks
Authors: Qiu-Sun Ye
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

In information system of Computer Networks, there are many computer viruses can do fatal damage to some individual computer systems; the ability to damage is basically decided by their mechanisms of regenerating, not decided by the longer computer viruses’ program or the shorter ones. Today, many of mechanisms and much of computer viruses’ ability to damage that, quite an initial knowledge of people’s for new computer viruses are still to take much time to research and solve. So all anti-viruses software already existed are too difficult to kill a variety of computer viruses. This paper will introduce a new practice technique of preventing a variety of computer viruses’ creeping in networks based on AI-Properties of VCR (Variable Carrying Rules). It is also called technique of that, while in Rome, do as the Romans do; or technique of interrogating & kidnapping.
Numerical Simulation for the Deformation and Stability of Large Underground Stope after Excavation
Authors: Du-gan Qing, Zi-qiang Zhu, Qun-yi Liu, Xian-qi He
Venue: Proceedings of the 2009 International Conference on Computer Modeling and Simulation (2009)

In order to study the three dimensional stability of one large underground stope after excavation, the numerical simulation software FLAC3D is used to calculate the deformation and failure situation of the surrounding rock mass. The calculations are done for two cases of whether penetration taking place in the goaf. During calculation the effects of penetration of excavation areas to the stability of stope are analyzed. The results can give some guidance for the real practice.
Degree-bounded minimum spanning trees
Authors: Raja Jothi, Balaji Raghavachari
Venue: Discrete Applied Mathematics (2009)

Given n points in the Euclidean plane, the degree-@d minimum spanning tree (MST) problem asks for a spanning tree of minimum weight in which the degree of each vertex is at most @d. The problem is NP-hard for 2@?@d@?3, while the NP-hardness of the problem is open for @d=4. The problem is polynomial-time solvable when @d=5. By presenting an improved approximation analysis for Chan's degree-4 MST algorithm [T. Chan, Euclidean bounded-degree spanning tree ratios, Discrete & Computational Geometry 32 (2004) 177-194], we show that, for any arbitrary collection of points in the Euclidean plane, there always exists a degree-4 spanning tree of weight at most (2+2)/3
Note(s): Characterization of the p-generalized normal distribution
Authors: Fabian Sinz, Sebastian Gerwinn, Matthias Bethge
Venue: Journal of Multivariate Analysis (2009)

It is a well known fact that invariance under the orthogonal group and marginal independence uniquely characterizes the isotropic normal distribution. Here, a similar characterization is provided for the more general class of differentiable bounded L"p-spherically symmetric distributions: Every factorial distribution in this class is necessarily p-generalized normal.
Formalising Situatedness and Adaptation in Electronic Institutions
Authors: Jordi Campos, Maite López-Sánchez, Juan Antonia Rodríguez-Aguilar, Marc Esteva
Venue: Coordination, Organizations, Institutions and Norms in Agent Systems IV: COIN 2008 International Workshops, COIN@AAMAS 2008, Estoril, Portugal, May 12, 2008. COIN@AAAI 2008, Chicago, USA, July 14, 2008. Revised Selected Papers (2009)

Similarly to institutions in human societies, an Electronic Institution (EI) provides a structured framework for a Multi-Agent System (MAS) to regulate agents' interactions. However, current EIs cannot regulate a previously existing dynamic social system and deal with its agent population behaviour changes. This paper suggests a solution consisting of two EI extensions to incorporate situatedness and adaptation to the institution. These two properties are usually present at an agent level, but this paper studies how to bring them to an organisational level. While exposing our approach, we use a traffic scenario example to illustrate its concepts.
The highly-parallel supercomputers: definitions, applications and predictions
Authors: Hubert H. Love,  Jr.
Venue: Proceedings of the May 19-22, 1980, national computer conference (1980)

As computer processing power has increased over the past three decades, so have demands on computer performance. In the race of computer technology to keep abreast of these demands, more and more attention has been given to parallel hardware organizational techniques. Instruction and data pipelining, instruction overlapping and distributed processing are examples of such techniques.
Query Translation and Expansion for Searching Normal and OCR-Degraded Arabic Text
Authors: Tarek Elghazaly, Aly Fahmy
Venue: Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing (2009)

This paper provides a novel model for English/Arabic Query Translation to search Arabic text, and then expands the Arabic query to handle Arabic OCR-Degraded Text. This includes detection and translation of word collocations, translating single words, transliterating names, and disambiguating translation and transliteration through different approaches. It also expands the query with the expected OCR-Errors that are generated from the Arabic OCR-Errors simulation model which proposed inside the paper. The query translation and expansion model has been supported by different libraries proposed in the paper like a Word Collocations Dictionary, Single Words Dictionaries, a Modern Arabic corpus, and other tools. The model gives high accuracy in translating the Queries from English to Arabic solving the translation and transliteration ambiguities and with orthographic query expansion; it gives high degree of accuracy in handling OCR errors.
Semantic clustering for region-based image retrieval
Authors: Ying Liu, Xin Chen, Chengcui Zhang, Alan Sprague
Venue: Journal of Visual Communication and Image Representation (2009)

With the proliferation of applications that demand content-based image retrieval, two merits are becoming more desirable. The first is the reduced search space, and the second is the reduced ''semantic gap.'' This paper proposes a semantic clustering scheme to achieve these two goals. By performing clustering before image retrieval, the search space can be significantly reduced. The proposed method is different from existing image clustering methods as follows: (1) it is region based, meaning that image sub-regions, instead of the whole image, are grouped into. The semantic similarities among image regions are collected over the user query and feedback history; (2) the clustering scheme is dynamic in the sense that it can evolve to include more new semantic categories. Ideally, one cluster approximates one semantic concept or a small set of closely related semantic concepts, based on which the ''semantic gap'' in the retrieval is reduced.
Investigating the prognostic accuracy of standardized data mining algorithms in intensive care unit
Authors: Lefteris G. Gortzis, Filippos Sakellaropoulos, Ioannis Ilias, Konstantinos Stamoulis, Panagiotis Lyberopoulos, Ioanna Dimopoulou
Venue: Journal of Computational Methods in Sciences and Engineering (2008)

Objectives: Modern clinicians use scalable data mining models to evaluate their hypotheses. The purpose of this paper is to present the lessons learned in solving prognostic problems in Intensive Care Unit (ICU) by using data mining models developed with standardized algorithms as an alternative solution to clinical assessment tools. Methods: The study included data from 201 ICU patients (156 male and 45 female) that were assessed by means of the APACHE II, the SOFA and the ISS as well as free thyroxin fT4, total triiodothyronine (TT3) T3, thyrotropin (TSH), corticotropin (ACTH), prolactin, cortisol and dehydroepiandrosterone sulphate (DHEAS) and the Synacthen test. We formulated three data mining models - a decision tree (DTM), a neural network (NNM), and a linear regression (LRM)- using the standardized algorithms of Microsoft&trade; SQL Server 2005 Data Mining Platform. The outcomes were compared against those of ICU clinical assessment tools and hormone measurements. Results: From the ROC plot analysis the APACHE II score was only marginally better than the SOFA or ISS score in predicting ICU survival. Moreover, the standardized data mining models applied on endocrine parameters were not outperformed by the APACHE II, SOFA or ISS scores alone in predicting ICU survival. Conclusions: From negative results, useful information can always be deduced. Our results point to the need to use custom algorithms to support particular ICU mining needs in lieu of standardized algorithms.
Analyzing programming projects
Authors: Stuart A. Hansen
Venue: Proceedings of the 40th ACM technical symposium on Computer science education (2009)

Retaining students in Computer Science may be improved by engaging them in the learning process while preventing them from becoming overly frustrated. While engaging students during lecture is certainly important, most students spend a significant amount of time working on programming projects outside of class. Gaining a deep understanding of student engagement in programming is difficult, since the instructor is seldom present during the process. This paper presents the results of student surveys administered after each programming project for multiple sections of two courses: CS2, and Data Structures and Algorithms. We analyze the data in terms of engagement, frustration and niftiness.
Improving content management: a semantic approach
Authors: Barna Kovács
Venue: Acta Cybernetica (2008)

Public administration institutions - as well as citizens and businesses - have to meet challenges of the constantly changing business and legal environment. The complexity and quantity of information to be faced with by these actors is increasing at an alarming rate. Research and development projects must turn to the development of innovative, modern technologies which enable citizens and businesses to access, understand and apply complex information easily. Ontology-based content management systems can contribute to the improvement of quality and effectiveness of significant processes, requiring the application of complex information, within the public administration or in a corporation. Compared to traditional content management systems, these systems can support further functions, such as semantic enabled search, explication of relations between documents, drafting of new documents, and version management, as well. Ontologies, in addition to the definition of concepts, support the most detailed and complete exploration of semantic relations between the concepts of a given domain.
A New Telemedicine System for the Home Monitoring of Lung Function in Patients with Obstructive Respiratory Diseases
Authors: Alessandro Gobbi, Ilaria Milesi, Leonardo Govoni, Antonio Pedotti, Raffaele L. Dellaca'
Venue: Proceedings of the 2009 International Conference on eHealth, Telemedicine, and Social Medicine (2009)

The conventional pulmonary function tests are based on spirometry, which unfortunately doesn't produce accurate and reproducible results if performed without the supervision of specially trained staff. We recently showed that forced oscillation technique is best suited for the home-monitoring of respiratory patients. The aim of this study was to develop a real-time data processing algorithm for the automatic unsupervised assessment of the lung obstruction, a network architecture for the data transmission and a web-based application for the storage and management of the data. The results demonstrated a high reliability of the algorithm, the robustness of the data communication protocols and the effectiveness of the data management web portal. In conclusion, our system allows a reliable automatic home monitoring of lung obstruction and it may improve the efficacy and efficiency of the management of respiratory patients through an improved tailoring of the clinical treatments and an early detection of exacerbations.
An agent-based simulation study of the dynamics of mobile viral advertising
Authors: Jiang Wu, Bin Hu
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

In the mobile era, mobile advertising is essential and has been developing very fast. Marketers are eager to turn to mobile viral advertising for benefiting from initially targeting customers. In this paper, we propose a computational model to reconstruct the spreading of advertisements in social networks. Using this computational model as a test-bed and running a series of virtual experiments, we acquire observations and implications about how to choose an initial set of people to maximize the performance of spreading advertisements. Also, we observe and analyze the impacts of the network structures including topology, size and density and the initial selected number of targeted people on the dynamics of mobile viral advertising. The virtual experiments also help us to examine the suitable policies for combining viral adverting with mass marketing in mobile commerce. In addition, we run virtual experiments (simulations) in a real mobile-online social network to validate the model and to provide an example for practitioners to apply this computational model. In practice, we use the attributes of people and the interest groups they are members of in social networks to infer the spreading probability between people.
Global Implications of Modern Enterprise Information Systems: Technologies and Applications (Advances in Enterprise Information Systems)
Authors: Angappa Gunasekaran
Venue:  (2008)

Many companies have encountered pitfalls in their attempts to successfully implement enterprise resource planning (ERP) that have proven nearly insurmountable.Global Implications of Modern Enterprise Information Systems: Technologies and Applications presents useful strategies, techniques, and tools for the successful design, development, and implementation of enterprise information systems (EIS). Through an international collaboration of perspectives, this collection presents cutting-edge research findings on modern enterprise information systems.
Digital System Designs and Practices: Using Verilog HDL and FPGAs
Authors: Ming-Bo Lin
Venue:  (2008)

System-on-a-chip (SoC) has become an essential technique to lower product costs and maximize power efficiency, particularly as the mobility and size requirements of electronics continues to grow. It has therefore become increasingly important for electrical engineers to develop a strong understanding of the key stages of hardware description language (HDL) design flow based on cell-based libraries or field-programmable gate array (FPGA) devices. Honed and revised through years of classroom use, Lin focuses on developing, verifying, and synthesizing designs of practical digital systems using the most widely used hardware description Language: Verilog HDL. Explains how to perform synthesis and verification to achieve optimized synthesis results and compiler times Offers complete coverage of Verilog syntax Illustrates the entire design and verification flow using an FPGA case study Presents real-world design examples such as LED and LCD displays, GPIO, UART, timers, and CPUs Emphasizes design/implementation tradeoff options, with coverage of ASICs and FPGAs Provides an introduction to design for testability Gives readers deeper understanding by using problems and review questions in each chapter Comes with downloadable Verilog HDL source code for most examples in the text Includes presentation slides of all book figures for student reference Digital System Designs and Practices Using Verilog HDL and FPGAs is an ideal textbook for either fundamental or advanced digital design courses beyond the digital logic design level. Design engineers who want to become more proficient users of Verilog HDL as well as design FPGAs with greater speed and accuracy will find this book indispensable.
Improving Color Based Video Shot Detection
Authors: W. Zhao, J. Wang, D. Bhat, K. Sakiewicz, N. Nandhakumar, W. Chang
Venue: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02 (1999)

Video shot detection plays a fundamental role in video access/analysis. Among many shot detection schemes, color based schemes seem to be the most widely used ones which can be applied to videos of different domains. However, color based techniques are not always very efficient. For example, over-detection (high false-alarm rate) may occur, especially for difficult videos such as home video which often contain significant object motion and illumination change. In this paper, we propose a new learning method to improve the color based shot detection schemes by employing a better similarity measure obtained through a minmax optimization procedure. This new measure is not tied to a particular feature such as color, hence it can be applied to video browsing, indexing based on other features as well.
Efficient active noise controller using a fixed-point DSP
Authors: Cheng-Yuan Chang
Venue: Signal Processing (2009)

This paper presents an efficient active noise control (ANC) system using a fixed-point DSP. The proposed controller uses magnitude and phase compensation to eliminate the errors associated with the nonlinear distortion of analog devices in the ANC system, and hence, to improve the noise reduction performance. The quantization and rounding errors associated with the fixed-point DSP are also compensated for. Several ANC experiments reveal that the proposed controller reduces broadband noise by about 20dB and narrowband noise by about 45dB. The compensation idea is also useful to other applications of filter design.
Data base education for students of management
Authors: R. Clay Sprowls
Venue: Proceedings of the May 19-22, 1975, national computer conference and exposition (1975)

One major field of study in the Graduate School of Management at UCLA is in Computers and Information Systems (CIS). This major has evolved from a single course on Electronic Computers in Business introduced in 1957 to one with more than a dozen courses devoted to some aspect of education about computers and information systems. The Announcement of the School describes the program as "designed to provide students with the basic conceptual framework and tools of analysis necessary for the design, implementation and control of information systems. These studies have the goals of training students to develop and implement management information systems---especially those using computers---for a variety of organizations both public and private. ... In particular, the computer and the many technical advancements that have accompanied its development have had a major impact upon information systems design. Therefore, students are expected to acquire a basic understanding of computer technology and terminology and a competence in computer programming. Beyond this, students may pursue studies in computer systems analysis, management of EDP activities, design of computer-based management information systems, modeling and computer simulation, and generalized data base management systems."
Asimov's first law/alarm clocks
Authors: Alice Wang
Venue: Proceedings of the 3rd International Conference on Tangible and Embedded Interaction (2009)

We live in a complex society where people have embarrassing habits, irrational fears and strange anxieties. Should products be redesigned to cater for these neglected needs?