ppxscal/embedding_network huggingface dataset:
Inductive Logic Programming for Gene Regulation Prediction
Authors: Sebastian Fröhler, Stefan Kramer
Venue: Inductive Logic Programming: 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers (2007)

One of the central goals in computational and systems biology is to understand the mechanisms of gene transcriptional regulation on a system-wide level. The efforts are often based on high-throughput genomic data of model organisms such as S. cerevisiae. The goal of this work is to learn a model of gene regulation predicting under which conditions genes are up- or down-regulated. Our starting point is the model of Middendorf et al. [1], where the presence of transcription factor binding sites (motifs) in the gene's regulatory region and the expression levels of regulators (e.g., transcription factors or protein kinases) are used to predict gene regulation. It is clear that in this formulation, important information related to gene regulation is missing, for instance due to post-translational modifications. Thus, information integration could be extremely useful to fill in and take into account various missing pieces of information related to gene regulation.
Feature Selection by Lorentzian Peak Reconstruction for ^1NMR Post-Processing
Authors: Hyung-Won Koh, Sasidhar Maddula, Jörg Lambert, Roland Hergenröder, Lars Hildebrand
Venue: Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems (2008)

In recent years, Nuclear Magnetic Resonance spectroscopy (NMR) has become more and more popular in the field of metabolomic analysis. Analyzing and interpreting the obtained data is thus still challenging due to its complex and nontrivial characteristics. Further analysis of the obtained data is still mainly based on manual assignment, manual analysis and expert knowledge, and therefore time consuming. Common approaches towards automated post processing methods are often based on binning, which leads to loss of information in any case. This paper addresses an approach for reconstructing a one-dimensional NMR spectrum into a set of distinct lorentzian peak lines as an impressive feature selection and data reduction method and evaluates the performance on a real-world as well as on different simulated spectra.
Optimal Wavelet Filters Selection for Ultrasound and Mammography Compression
Authors: Volodymyr Ponomaryov, Jose Luis. Sanchez-Ramirez, Cristina Juarez-Landin
Venue: Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications (2008)

The analysis of different Wavelets also including novel Wavelets families based on atomic functions are presented, especially for Ultrasound (US) and Mammography (MG) images compression. This way we have been able to determine what type of filters Wavelet works better in compression of such images. Key properties: Frequency response, Approximation Order, Projection cosine, and Riesz bounds were determined and compared for the classic Wavelets W9/7 used in standard JPEG2000, Daubechies8, Symlet8, as well as for the complex Kravchenko---Rvachev wavelets &psi;(t) based on the Atomic Functions up(t), fup 2 (t), and eup(t). The comparison results show significantly better performance of novel Wavelets that is justified by experiments and in study of key properties.
An Integrated Workstation for the Visually Handicapped
Authors: Clifford Grossner, T. Radhakrishnan, Andy Pospiech
Venue: IEEE Micro (1983)

Because this workstation's device drivers are integrated into its resident CP/M operating system, it can run any CP/M-compatible program and produce output in synthesized speech or braille.
Members of the Scottish Parliament on the Net
Authors: Colin F. Smith, C. William R. Webster
Venue: Information Polity (2004)

The creation of the Scottish Parliament in 1999 presented a unique opportunity to integrate new Information and Communication Technologies (ICTs) into a new democratic body. The design of the parliament and democratic practice was informed by the capabilities offered by these new technologies and, consequently, it is of interest to explore the response of parliamentarians to this new setting. This article presents research undertaken into the use of ICTs by Members of the Scottish Parliament (MSPs), based on findings from a survey of all MSPs conducted in Spring 2002. Findings are explored to investigate whether members of the new parliament indicate more extensive use of ICTs, and express more positive opinions on the democratic potential of technology, than their counterparts in more established representative bodies. Further, the Scottish Parliament incorporates a new electoral system, electing MSPs both directly through constituencies and via regional party lists. Of interest here is the extent to which there are differences between these two types of MSPs in terms of their use of and attitude towards ICTs. In particular, do list MSPs make more use of ICTs and are they more likely to emphasise their democratic potential, in order to assert their representative legitimacy in the absence of a traditional representative relationship with constituents?
Digital Model of Series Resonant Converter with Piezoelectric Ceramic Transducers and Fuzzy Logic Control
Authors: Paweł Fabijański, Ryszard Łagoda
Venue: Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I (2007)

Sandwich type piezoelectric ceramic transducers are the most frequently applied source of ultrasounds in technical cleaning system. They have the ability to radiate in an ultrasonic medium, e.g. water, with maximum acoustic power when the vibration is activated by a current whose frequency equals the mechanical resonance frequency of the transducer. In resonant inverters the transducer units are part of the oscillating circuit, for which equivalent electrical circuit consist of connection in parallel: Co end RLC. The resonant frequency of the real circuit varies during the operation in function of many parameters, among others, the most important are temperature, time, the column of cleaning factor, and the surface of the cleaned elements. In this situation, to obtain the maximum value of the converter efficiency, its important role of control system to assure the optimal mechanical resonant frequencies of converter.
An Integrated Solution for Policy Filtering and Traffic Anomaly Detection
Authors: Zhijun Wang, Hao Che, Jiannong Cao
Venue: Proceedings of the 5th international conference on Autonomic and Trusted Computing (2008)

In this paper, we propose a Ternary Content Addressable Memory (TCAM) coprocessor based solution for high speed, integrated policy filtering and TCP flow anomaly detection. In the proposed solution, the TCP flow anomaly is detected through two dimensional (2D) matching. The key features of the solution include: (1) setting flag bits in TCAM action code to support various packet treatments; (2) managing TCP flow state in pair to do 2D matching. The solution's ability for detecting TCP-based flooding attacks based on real-world-trace simulations are conducted. The results show that the proposed solution can match up OC-192 line rate while doing the integrated tasks.
Fully Automatic Segmentation of Abdominal Organs from CT Images Using Fast Marching Methods
Authors: Paola Campadelli, Elena Casiraghi, Stella Pratissoli
Venue: Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems (2008)

Computed tomography (CT) images are becoming an invaluable mean for abdominal organ investigation. In the field of medical image processing, some of the current interests are the automatic diagnosis of liver, spleen, and kidney pathologies and the 3D volume rendering of the abdominal organs. The first and fundamental step in all these studies is the automatic organs segmentation, that is still an open problem. In this paper we propose a fully automatic gray level based segmentation framework that employs a fast marching technique; the proposed segmentation scheme is general, and employs only established and not critical anatomical knowledge. For this reason, it can be easily adapted to separately segment different abdominal organs, by overcoming problems due to the high inter and intra patient gray level and shape variabilities; the extracted volumes are then combined to achieve robust results. The system performance has been evaluated on the data of 40 patients, by comparing the automatically detected organ volumes to the organ boundaries manually traced by three experts. The good quality of the achieved results is proved by the fact that they are comparable to the inter and intra personal variability of the manual segmentation produced by experts.
Experiences in Applying Agile Software Development in F-Secure
Authors: Jari Still
Venue: Proceedings of the 8th international conference on Product-Focused Software Process Improvement (2007)

To develop security software is clearly one of the most challenging software development areas. The challenges are both technical and business based. From the business point of view, the security market is mature and highly competitive, although market needs can change even daily and there is no room for mistakes. Technically, the challenge is the ability to find and catch the threats as soon as they arise.
Dichotomic Search Protocols for Constrained Optimization
Authors: Meinolf Sellmann, Serdar Kadioglu
Venue: Proceedings of the 14th international conference on Principles and Practice of Constraint Programming (2008)

We devise a theoretical model for dichotomic search algorithms for constrained optimization. We show that, within our model, a certain way of choosing the breaking point minimizes both expected as well as worst case performance in a skewed binary search. Furthermore, we show that our protocol is optimal in the expected and in the worst case. Experimental results illustrate performance gains when our protocols are used within the search strategy by Streeter and Smith.
A model-driven framework for the specification, grounding, and execution of semantic web services
Authors: John Thomas Edward Timm
Venue:  (2008)

The semantic web promises to bring automation to the areas of web service discovery, composition, and invocation. In order to realize these benefits, rich semantic descriptions of web services must be created by the software developer. Therefore, a steep learning curve and lack of tool support for developing such descriptions thus far have created significant adoption barriers for semantic web service technologies. This research makes four primary contributions: (1) the development of an approach that enables the specification of atomic and composite services; (2) the creation of model transformations that convert UML class and activity diagrams into OWL-S and other associated representations; (3) the development of software tools to facilitate the conversion, grounding, and execution activities; and, (4) a demonstration of semantic web service technology and an evaluation of the approach. These contributions together form a model-driven framework for semantic web service development. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
What Do You Want to Know? Investigating the Information Requirements of Patient Supporters
Authors: Wendy Moncur, Judith Masthoff, Ehud Reiter
Venue: Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems (2008)

There is a vast amount of data associated with any one patient. It is challenging for medical staff to understand all this data. It is even harder for a lay person, who may not even know what medical terms mean. The research project BabyTalk-Clan aims to create personalized summaries of data for a lay audience. It uses sensitive, highly-detailed clinical data relating to a patient. This includes medication given, test results, notes made by medical staff, and continuous physiological signals such as heart rate. We took a qualitative approach to knowledge acquisition for user requirements. Using interviews and a focus group within a Grounded Theory methodology, we discovered that most lay users want only a very high-level summary of the baby's state. What lay users do want is information about how the parents are coping, and what support they need. Findings were cross-validated through a questionnaire.
Experiments on Selection of Codebooks for Local Image Feature Histograms
Authors: Ville Viitaniemi, Jorma Laaksonen
Venue: Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management (2008)

Histograms of local features have proven to be powerful representations in image classification and object detection. In this paper we experimentally compare techniques for selecting histogram codebooks for the purpose of classifying 5000 images of PASCAL NoE VOC Challenge 2007 collection. We study some well-known unsupervised clustering algorithms in the task of histogram codebook generation when the classification is performed in post-supervised fashion on basis of histograms of interest point SIFT features. We also consider several methods for supervised codebook generation that exploit the knowledge of the image classes to be detected already when selecting the histogram bins.
Learner Centred Design in the Adventure Author Project
Authors: Seth Goolnik, Judy Robertson, Judith Good
Venue: International Journal of Artificial Intelligence in Education (2006)

Involving stakeholders at an early stage of learning environment design enables researchers to base a system around the needs of learners. By working directly with learners, researchers gain insight into learners' everyday problems when mastering difficult material, which complements their knowledge of educational theory. This approach is particularly fruitful when designing innovative systems which require new representations of complex concepts. This paper describes the development process of Adventure Author, an interactive story making environment for children. It focuses on the learner centred design methods used to develop a representation of interactive story structure for the user interface. Early consultation with our users around low and high-tech prototypes ensured that the representations we proposed could be comprehended and subsequently generated by children in the target age group.
CommTracker: A Core-Based Algorithm of Tracking Community Evolution
Authors: Yi Wang, Bin Wu, Xin Pei
Venue: Proceedings of the 4th international conference on Advanced Data Mining and Applications (2008)

Social network analysis has been a hot topic in the field of graph mining. After people have achieved the goal of detecting communities from various networks, now they are interested in how these explored communities change as time passes by. In other words, people focus on the problem of community evolution and further discover those dynamic characteristics of kinds of networks. Here, we propose CommTracker, a novel and parameter-free algorithm of tracking community evolution, which utilizes the representative quality of core nodes in a community to establish the evolving relationship between two communities in consecutive time snapshots. With such a distinct strategy, it is suitable for analyzing large scale datasets. Depending on relationships established from CommTracker, it is feasible to identify community split and mergence. In addition, one relationship amongst evolution traces, evolution traces intersection, is also studied. At last, we demonstrate the correctness and effectiveness of our algorithm on 4 real datasets.
Development of Wireless Embedded System Using ZigBEE Protocol to Avoid White Gaussian Noise and 50 Hz Power Line Noise in ECG and Pressure Blood Signals
Authors: Konstantinos Kalovrektis, Theodore Ganetsos, Evaggelos Fountas, Georgia Tzitzili
Venue: Proceedings of the 2008 Panhellenic Conference on Informatics (2008)

Electrocardiogram (ECG) and Pressure blood is a main source for doctors to diagnose the health condition and pathology of heart. The magnitudes of ECG signals are usually approximate 1mV. The Electrocardiogram signals are affected by environment noises. The mostly sources of these errors are the power line of 50HZ. In this paper we present an advance develop of Wireless pads using embedded system and ZigBEE protocol to avoid white Gaussian noise and 50 Hz Power line noise from ECG and Pressure Blood measurements signals. The user-doctor can acquire from the internet in real time the electrocardiograph and the pressure blood of patient. On system can be connected Bio-instrumentations via RS 232 protocol. Finally all information can be imported in BioBench Software.
Run-Time Monitoring for Privacy-Agreement Compliance
Authors: S. Benbernou, H. Meziane, M. S. Hacid
Venue: Proceedings of the 5th international conference on Service-Oriented Computing (2007)

This paper addresses the problem of monitoring the compliance of privacy agreement that spells out a consumer's privacy rights and how consumer private information must be handled by the service provider. A state machine based model is proposed to describe the Private Data Use Flow (PDUF) toward monitoring which can be used by privacy analyst to observe the flow and capture privacy vulnerabilities that may lead to non-compliance. The model is built on top of (i) properties and timed-related privacy requirements to be monitored that are specified using LTL (Linear Temporal logic) (ii) a set of identified privacy misuses.
Service Productivity Improvement and Software Technology Support
Authors: Yang Li
Venue: Proceedings of the 2008 32nd Annual IEEE International Computer Software and Applications Conference (2008)

The service sector accounts around 70% of the total value add of GDP, yet this sector is still lagging behind manufacturing sector, in terms of overall productivity. This paper sets out to analyze this phenomenon. It first compares these two sectors and identifies the causes for the lag in productivity. It then depicts a vision of how new technologies can be developed to help bring services sector closer to manufacturing sector. Finally, the author introduces some related industry practice in this area that could help to implement such a vision. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Sequence Alignment Algorithms for Run-Length-Encoded Strings
Authors: Guan Shieng Huang, Jia Jie Liu, Yue Li Wang
Venue: Proceedings of the 14th annual international conference on Computing and Combinatorics (2008)

A unified framework is applied to solving various sequence comparison problems for run-length encoded strings. All of these algorithms take O( min {mn¿,m¿n}) time and O( max {m,n}) space, for two strings of lengths m and n, with m¿ and n¿ runs, respectively. We assume the linear-gap model and make no assumption on the scoring matrices, which maximizes the applicability of these algorithms. The trace (i.e., the way to align two strings) of an optimal solution can also be recovered within the same time and space bounds.
AN LMI approach to computation state feedback control in the linear discrete-time system with limited input
Authors: A. M. Jafari
Venue: Proceedings of the 8th WSEAS International Conference on Robotics, Control and Manufacturing Technology (2008)

Main subject of paper is on the local stability in the linear discrete-time system with limited input and main base of solution problems is linear matrix inequality (LMI). LMI is proposed in order to compute a saturating state feedback that stabilized the system with respect to a given set of admissible initial state.
A Prediction Based Cross-Layer MAC/PHY Interface for CDMA Ad Hoc Networks
Authors: Pegdwindé Justin Kouraogo, François Gagnon, Zbigniew Dziong
Venue: Proceedings of the 7th international conference on Ad-hoc, Mobile and Wireless Networks (2008)

Variable environments in ad hoc networks require a joint control of physical (PHY) and medium access control (MAC) layers resources in order to optimize performance. In this paper, we propose a framework to perform such cross-layer control and optimization. The PHY layer and cross-layer engine estimate and predict the channel variations to select the users that will meet the signal-to-interference-noise ratio (SINR) requirement in the next time slot, for MAC layer optimization. We consider high capacity code division multiple access (CDMA) ad hoc networks working at fixed quality of service (QoS) requirement where nodes are equipped with matched filter receivers.
Transactional Memory and OpenMP
Authors: Miloš Milovanović, Roger Ferrer, Osman S. Unsal, Adrian Cristal, Xavier Martorell, Eduard Ayguadé, Jesús Labarta, Mateo Valero
Venue: Proceedings of the 3rd international workshop on OpenMP: A Practical Programming Model for the Multi-Core Era (2007)

Future generations of Chip Multiprocessors (CMP) will provide dozens or even hundreds of cores inside the chip. Writing applications that benefit from the massive computational power offered by these chips is not going to be an easy task for mainstream programmers who are used to sequential algorithms rather than parallel ones. This paper explores the possibility of using Transactional Memory (TM) in OpenMP, the industrial standard for writing parallel programs on shared-memory architectures, for C, C++, and Fortran. One of the major complexities in writing OpenMP applications is the use of critical regions (locks), atomic regions and barriers to synchronize the execution of parallel activities in threads. TM has been proposed as a mechanism that abstracts some of the complexities associated with concurrent access to shared data while enabling scalable performance. The paper presents a first proof-of-concept implementation of OpenMP with TM. Some extensions to the language are proposed to express transactions. These extensions are handled by our source-to-source OpenMP Mercurium compiler and our Software Transactional Memory (STM) library Nebelung that supports the code generated by Mercurium. The current implementation of the library has no support at the hardware level, so it is a proof-of-concept implementation. Hardware Transactional Memory (HTM) or Hardware-assisted STM (HaSTM) are seen as possible paths to make the tandem TM-OpenMP more usable. The paper finishes with a set of open issues that still need to be addressed, either in OpenMP or in the hardware/software implementations of TM.
Experts without expertise: E-society projects in developing countries - The case of Turkey
Authors: Fuat Alican
Venue: Information Polity (2007)

Projects variously designated "e-society," "e-government," and "e-transformation" initiatives attract increasing attention in academic circles and the business community. They remain in the limelight due almost always to the high costs involved in their implementation, often to their ambitious aims related to social and economic development, and sometimes, though not so seldom, to their failure. One such project with grand ambitions is Turkey's "Information Society Strategy," an integral part of the country's efforts in e-transformation. The aim of this paper is to analyze the project from the perspective of the Turkish software sector, with emphasis on technical and methodological flaws as well as on ethical problems. The overriding goal is to enrich the body of research regarding e-society efforts and the software sector.