ppxscal/embedding_network huggingface dataset:
Computer aided learning and training on the platform of medical information system
Authors: Josef Hanus, Jiri Zahora, Vladimir Masin, Tomas Nosek, Pavel Svoboda, Ales Bezrouk
Venue: Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education (2007)

This paper describes new conception of the computer based medical education in Faculty of Medicine based on the platform of medical information system (MIS). Generally, the study of medicine (the general medicine or dentistry) requires the enormous effort because the students are expected to acquire not only the huge amount of theoretical knowledge from all branches of medicine but also some very important practical skills. Teachers realize this situation and try to offer wide ranges of modern methods of study support (e-learning, electronic textbooks, real or computer-based models and simulations, case studies, computer-aided measurements, computer assisted learning and so on). The MIS or HIS (Hospital information systems) are nowadays standard platforms for effective functioning of medical practice or hospital. Our conception is based on the on-line use of the network version of the MIS in the practical classes of preclinical subjects during the whole study (5 years). All results of laboratory measurements, practical exercises, and medical examinations trainings are understood as records in the student's (generally patient's) cards in the MIS and so the physician's real care for patients is simulated and practiced in the complex way. We could say that students simulate real function of the virtual medical practice or hospital. All measurements are supported by modern computer controlled equipments communicating on-line with the MIS. Brief description of practical laboratory exercises in Medical Biophysics is included for illustration.
A channel representation method for the study of hybrid retransmission-based error control
Authors: Leonardo Badia, Marco Levorato, Michele Zorzi
Venue: IEEE Transactions on Communications (2009)

In this paper, we present a methodology to obtain a channel description tailored on performance evaluation for Incremental Redundancy Hybrid Automatic Repeat reQuest schemes. Such techniques counteract channel errors by using data coding and transmitting parts of the codeword over different channel realizations. We focus on coding performance models where the error probability is asymptotically zero if the channel parameters of these realizations fall within a given region. To map this region in a compact but still precise manner, we adopt a finite-state channel model. This approach is quite common in the literature; however, differently from existing work, we propose a novel method to derive efficient channel partitioning rules, i.e., a code-matched quantization of the channel state. Such a representation enables the use of accurate Markov models to study the system performance. Compared to existing channel representation methods, our proposed technique leads to a more accurate evaluation of higher layer statistics while at the same time keeping the computational complexity low.
Iterative decoding using optimum soft input - hard output module
Authors: Michael Kerner, Ofer Amrani
Venue: IEEE Transactions on Communications (2009)

Maximum likelihood sequence estimation (MLSE) in the shape of the Viterbi algorithm, although a strictly hard-output approach, is utilized for iterative decoding of turbo codes. It is a practical alternative when decoding complexity and speed may be traded for performance.
Topic-dependent sentiment analysis of financial blogs
Authors: Neil O'Hare, Michael Davy, Adam Bermingham, Paul Ferguson, Páraic Sheridan, Cathal Gurrin, Alan F. Smeaton
Venue: Proceeding of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion (2009)

While most work in sentiment analysis in the financial domain has focused on the use of content from traditional finance news, in this work we concentrate on more subjective sources of information, blogs. We aim to automatically determine the sentiment of financial bloggers towards companies and their stocks. To do this we develop a corpus of financial blogs, annotated with polarity of sentiment with respect to a number of companies. We conduct an analysis of the annotated corpus, from which we show there is a significant level of topic shift within this collection, and also illustrate the difficulty that human annotators have when annotating certain sentiment categories. To deal with the problem of topic shift within blog articles, we propose text extraction techniques to create topic-specific sub-documents, which we use to train a sentiment classifier. We show that such approaches provide a substantial improvement over full documentclassification and that word-based approaches perform better than sentence-based or paragraph-based approaches.
A game theoretical framework on intrusion detection in heterogeneous networks
Authors: Lin Chen, Jean Leneutre
Venue: IEEE Transactions on Information Forensics and Security (2009)

Due to the dynamic, distributed, and heterogeneous nature of today's networks, intrusion detection systems (IDSs) have become a necessary addition to the security infrastructure and are widely deployed as a complementary line of defense to classical security approaches. In this paper, we address the intrusion detection problem in heterogeneous networks consisting of nodes with different noncorrelated security assets. In our study, two crucial questions are: What are the expected behaviors of rational attackers? What is the optimal strategy of the defenders (IDSs)? We answer the questions by formulating the network intrusion detection as a noncooperative game and performing an in-depth analysis on the Nash equilibrium and the engineering implications behind. Based on our game theoretical analysis, we derive the expected behaviors of rational attackers, the minimum monitor resource requirement, and the optimal strategy of the defenders. We then provide guidelines for IDS design and deployment. We also show how our game theoretical framework can be applied to configure the intrusion detection strategies in realistic scenarios via a case study. Finally, we evaluate the proposed game theoretical framework via simulations. The simulation results show both the correctness of the analytical results and the effectiveness of the proposed guidelines.
What does the computer contribute to learning?
Authors: Valerie J. Shute, Lisa A. Gawlick-Grendell
Venue: Computers Education (1994)

This paper describes a study conducted with Stat Lady, a computer-based approach to teaching and learning the rules of PROBABILITY, based on the postulate that learning is a constructive process, fostered by an experiential learning environment that is anchored in real-world problems. This study compared learning from Stat Lady vs learning from a paper-and-pencil Workbook version of the identical curriculum, and addressed the question: ''What does the computer contribute to learning?'' Findings showed that Stat Lady learners performed at least as well (and in some cases, much better) on the outcome tests compared to the Workbook group. Specifically, we found that (a) Stat Lady was clearly the superior environment for high-aptitude subjects, (b) Stat Lady subjects acquired significantly more declarative knowledge than the Workbook subjects, and (c) regardless of aptitude, the majority of learners found the Stat Lady condition to be significantly more enjoyable and helpful than the Workbook condition. Implications for the design of instructional systems and further research are offered.
Teaching-Material Design Center: An ontology-based system for customizing reusable e-materials
Authors: Hei-Chia Wang, Chien-Wei Hsu
Venue: Computers Education (2006)

Use of electronic teaching materials (e-material) to support teaching is a trend. e-Material design is therefore an important issue. Currently, most e-material providers offer a package of solutions for different purposes. However, not all teachers and learners need everything from a single package. A preferable alternative is to find useful material from different packages and combine them for a particular course. Currently, most educators collect the material manually, which is time-consuming and may result in missed material. In this paper, we describe a system - the Teaching-Material Design Center, which follows the standard of Sharable Content Object Reference Model - to separate e-material for use as teaching templates and learning objects and to label the material with use of semantic metadata for searching. This system can find existing teaching templates and learning objects for e-material designers and provide a convenient environment for constructing customized e-material for different requirements. We describe the implementation and evaluation of the proposed system for a course. Our system is efficient in finding teaching templates and learning objects and shortening the e-material development process.
Microarray analysis of autoimmune diseases by machine learning procedures
Authors: Rubén Armañanzas, Borja Calvo, Iñaki Inza, Marcos López-Hoyos, Víctor Martínez-Taboada, Eduardo Ucar, Irantzu Bernales, Asier Fullaondo, Pedro Larrañaga, Ana M. Zubiaga
Venue: IEEE Transactions on Information Technology in Biomedicine (2009)

Microarray-based global gene expression profiling, with the use of sophisticated statistical algorithms is providing new insights into the pathogenesis of autoimmune diseases. We have applied a novel statistical technique for gene selection based on machine learning approaches to analyze microarray expression data gathered from patients with systemic lupus erythematosus (SLE) and primary antiphospholipid syndrome (PAPS), two autoimmune diseases of unknown genetic origin that share many common features. The methodology included a combination of three data discretization policies, a consensus gene selection method, and a multivariate correlation measurement. A set of 150 genes was found to discriminate SLE and PAPS patients from healthy individuals. Statistical validations demonstrate the relevance of this gene set from an univariate and multivariate perspective. Moreover, functional characterization of these genes identified an interferon-regulated gene signature, consistent with previous reports. It also revealed the existence of other regulatory pathways, including those regulated by PTEN, TNF, and BCL-2, which are altered in SLE and PAPS. Remarkably, a significant number of these genes carry E2F binding motifs in their promoters, projecting a role for E2F in the regulation of autoimmunity.
Density Adjustable Pseudorandom Sequence and its Applications in Information Hiding
Authors: Chen Yu, Qu Fang, Hu Jianbin, Chen Zhong
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

Pseudorandom sequence plays an important role in information hiding. But in many circumstances, what we need is pseudorandom sequence with adjustable density other than balanced pseudorandom sequence. Compared with the study on other techniques in information hiding, research on special sequence for information hiding is rare. This paper proposes the concept of density adjustable pseudorandom sequence for the first time and presents its applications. We also give a general construction method of density adjustable pseudorandom sequence generator. Theoretical analysis proves our method can generate sequence approaching to any fixed density with arbitrary precision as well as preserving excellent randomness. Furthermore, two case studies are given to demonstrate it is applicable for information hiding. The main contribution of this paper is providing the density adjustable pseudorandom sequence as a fundamental primitives of information hiding.
The Conceptual Design Method of Mechanical Products
Authors: Li Ling-ling, Duanmu Yong-guang, Li Zhi-gang
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 01 (2009)

The conceptual design is the first step of product designing process, it decides the technology economic effect of product radically. The goal of conceptual design is to match the product function with its structure, but the complex relationship between function and structure is a difficult problem in the conceptual design. So a corresponding solution is proposed in the paper. This method is proposed based on the principles as bellows:The product “function” is a generalized concept. The function attribute not only includes technical attribute described by numerical value, but also includes the attribute described by “language”, which is called the semantic attribute, such as “on¬-off” and “protection” of electrical products. Compared with the technical attribute, semantic attribute often describes product function with a bigger granularity, and decides the product structure; However, the size of granularity used for describing product function and structure character of differenttechnical attribute are quite different. So the conceptual design method is proposed in this paper as bellows.Step 1:Firstly separate a product super class into several subclasses according the semantic attribute, which can used to classify each subclasses; and then classify the subclasses’ structure attribute to go on classifying, at last get a tree chart finally.Step2:To contrapose a certain branch node of a “tree”, it distract all of the technical attributes of their offspring, use the rough theory for attribute reduction,and then take the “kernel” which is gotten after the attribute reduction as each subclasses’ technical attributes set. Step 3: To seek for product cases of each subclass, set up this subclass’s standard pattern acorroding to all kinds of technical attributes statistical data about those cases. According to the users’ demands about designing, compare the comparability of the “product to be designed” and interrelated standard pattern, then choose one or several kinds of the product type which can almost meet the designing demands. When the designing demand is not completed, the fuzzy attributes of the standard pattern can set to “the product to be designed”, on which the product conceptual design can be completed.
A relational database for the monitoring and analysis of watershed hydrologic functions: I. Database design and pertinent queries
Authors: Christian J. Carleton, Randy A. Dahlgren, Kenneth W. Tate
Venue: Computers Geosciences (2005)

The need to monitor water quantity and quality has increased dramatically in recent years due to total maximum daily load requirements that address non-point source pollutants in our nation's water bodies. This has resulted in the need for data management techniques and tools to manage the vast amount of new hydrologic data being collected. Data must be stored, checked for errors, manipulated, retrieved for analysis, and shared within the hydrologic community. The Watershed Monitoring and Analysis Database is a relational database application developed as a data management tool to efficiently and accurately address the needs of individuals and groups responsible for maintaining hydrologic data sets. Stream flow, water quality, and meteorological data can be stored and manipulated within the database. Both remedial and advanced tasks can be simplified with the help of the user interface application, such as quality assurance/quality control (QA/QC) calculations, application of correction and conversion factors, retrieval of desired data for advanced analysis, and data comparisons among multiple study sites. Web integration and local area network (LAN) database synchronization can be supported depending upon the database engine used. The objectives of this paper are to: (1) present in detail the database architecture, including table structures and overall database design, and (2) provide useful queries to retrieve data that involve calculations, comparisons, and basic QA/QC protocols. Developed using Microsoft Access, the concepts and strategies covered in this paper may be applied to any commercially available relational database.
A one-stop system for informatization support of primary and secondary schools
Authors: Noriko H. Arai, Ryuji Masukawa
Venue: Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education (2007)

Our project team has been developing a content management system, called NetCommons since 2001. Unlike other major content management systems, NetCommons provides both content management functions and groupware and e-learning functions. Using NetCommons, one can easily and inexpensively integrate several distributed educational functions such as a school homepage, e-learning, groupware, and information archives into one. We report on the variety of ways people use NetCommons and describe how NetCommons has accelerated the informatization of education in Japan in the past three years.
The potential of XML encoding in geomatics converting raster images to XML and SVG
Authors: Byron Antoniou, Lysandros Tsoulos
Venue: Computers Geosciences (2006)

The evolution of open standards and especially those pertaining to the family of XML technologies, have a considerable impact on the way the Geomatics community addresses the acquisition, storage, analysis and display of spatial data. The most recent version of the GML specification enables the merging of vector and raster data into a single ''open'' format. The notion of ''coverage'' as described in GML 3.0 can be the equivalent of a raster multi-band dataset. In addition, vector data storage is also described in detail through the GML Schemas and XML itself can store the values of a raster dataset, as values of a multi-table dataset. Under these circumstances an issue that must be addressed is the transformation of raster data into XML format and their subsequent visualization through SVG. The objective of this paper is to give an overview of the steps that can be followed in order to embody open standards and XML technologies in the raster domain. The last part of the work refers to a case study that suggests a step by step methodology to accomplish classification, an important function in Cartography and Remote Sensing, using the XML-encoded images.
On the anonymity of some authentication schemes for wireless communications
Authors: Peng Zeng, Zhenfu Cao, Kim-Kwang Raymond Choo, Shengbao Wang
Venue: IEEE Communications Letters (2009)

In 2004, Zhu and Ma proposed a new and efficient authentication scheme claiming to provide anonymity for wireless environments. Two years later, Lee et al. revealed several previously unpublished flaws in Zhu-Ma's authentication scheme and proposed a fix. More recently in 2008, Wu et al. pointed out that Lee et al.'s proposed fix fails to preserve anonymity as claimed and then proposed yet another fix to address the problem. In this paper, we use Wu et al.'s scheme as a case study and demonstrate that due to an inherent design flaw in Zhu-Ma's scheme, the latter and its successors are unlikely to provide anonymity. We hope that by identifying this design flaw, similar structural mistakes can be avoided in future designs.
Functional tolerancing of complex mechanisms: Identification and specification of key parts
Authors: H. Mejbri, B. Anselmetti, K. Mawussi
Venue: Computers and Industrial Engineering (2005)

The functional tolerancing process for complex mechanisms needs the study of the behavior of mechanical joints. The use of the Computer-Aided Design system helps in carrying out this task. This paper presents an effective new approach for decomposing a global geometric functional requirement of the mechanism into geometric specifications defined on key components (parts and sub-assemblies). A recursive tolerancing method serves to identify and functionally specify the key components related to a tolerance-chain. A geometric variation model, based on the invariant degrees of freedom (DOFs) of the datum reference frames and tolerance zones, enables validating a datum reference system built on the positioning features of a component and then deducing the influential mechanical joints. Formalized simple rules based on the topology of parts have also been developed for validating a datum reference system. A geometric specification defined on a sub-assembly has been introduced as a new geometric functional requirement: this provides the designer with an effective recursive tool for ensuring the functional tolerancing of the entire assembly. The proposed approach is straightforward to implement and has been devised from the concept of standardized specifications, with the particularity that it is capable of treating cases in which the positioning features are not perpendicular.
Patterns in the stream: exploring the interaction of polarity, topic, and discourse in a large opinion corpus
Authors: Julian Brooke, Matthew Hurst
Venue: Proceeding of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion (2009)

A qualitative examination of review texts suggests that there are consistent patterns to how topic and polarity are expressed in discourse. These patterns are visible in the text and paragraph structure, topic depth, and polarity flow. In this paper, we employ sentence-level sentiment classifiers and a hand-built tree ontology to investigate whether these patterns can be quantitatively identified in a large corpus of video game reviews. Our results indicate that the beginning and the end of major textual units (e.g. paragraphs) stand out in the flow of texts, showing a concentration of reliable opinion and key topic aspects, and that there are other important regularities in the expression of opinion and topic relevant to their ordering and the discourse markers with which they appear.
Selecting the appropriate input data set when configuring a permanent workforce
Authors: Jonathan F. Bard
Venue: Computers and Industrial Engineering (2004)

This paper explores the issue of choosing the best data to use when running a scheduling model to select a permanent workforce for a service facility. Because demand is assumed to vary over the day and throughout the week, the choice of the input data is crucial. If a week of low volume is selected, the solution might call for an insufficient number of workers; if a week of high volume is chosen, excessive idle time might be the result. Staff scheduling at mail processing and distribution centers (P&DCs) in the United States provides the backdrop. In operating these facilities, a critical objective is to manage overtime, part-time workers, and temporaries so that when volumes are high, additional costs are kept to a minimum, and when volumes are low the permanent workforce is almost never idle. In quantitative terms, this means selecting the size and composition of the workforce so that over the year, no more than a total number of overtime hours, part-time hours and temporary worker hours are used when demand exceeds some baseline and absenteeism is taken into account. To solve the problem, an engineering approach is proposed in which estimates of productivity are made based on a single run of the optimization model and the final data set is chosen to satisfy a small error tolerance. The full methodology is illustrated with data provided by the Dallas P&DC.