ppxscal/embedding_network huggingface dataset:
Case-based Planning of Treatment of Infants with Respiratory Failure
Authors: Grzegorz Góra, Piotr Kruczek, Andrzej Skowron, Jan G. Bazan, Stanisława Bazan-Socha, Jacek J. Pietrzyk
Venue: Fundamenta Informaticae (2008)

We discuss medical treatment planning in the context of case-based planning, where plans (of treatment) are treated as complex decisions. A plan for a particular case is constructed from known plans for similar training examples. In order to evaluate and improve the prediction quality of complex decisions, we use a method for approximation of similarity measure between plans. The method makes it possible to transform the acquired domain knowledge about similarities of plans, expressed by medical experts in natural language, to a low level language understandable by the system. To accomplish this task, we developed a method for approximation of the ontology of concepts expressed by medical experts. We present two applications of the ontology approximation, namely, for approximation of similarity between patient histories and for approximation of compatibility of patient histories with planned therapies. Next, we use these concept approximations to define two measures on which are based two methods for (plan) therapy prediction. The article includes results of experiments with these methods performed on medical data obtained from Neonatal Intensive Care Unit, First Department of Pediatrics, Polish-American Institute of Pediatrics, Collegium Medicum, Jagiellonian University, Krak?ow, Poland. The experiments are pertained to the identification of infants' death risk caused by respiratory failure.
New join operator definitions for sensor network databases
Authors: Seungjae Lee, Changhwa Kim, Sangkyung Kim
Venue: Proceedings of the 6th conference on Applications of electrical engineering (2007)

Recently, researches on relational database approaches to sensor networks are being tried. There occur, however, some problems in applying directly the traditional relational database concepts into a sensor network in that every database operation is performed only on the real existing data which are tuples in database relations. The reason is because in a sensor network viewpoint situations under which some operations should be performed on non-existing data may occur frequently. For instance, let us assume a sensor network that two different classes of nodes are randomly scattered in the same area. We cannot get join results to know the relationship between two different classes of sensing values because there might be no nodes at a exact same location. For a solution about the above described problem we propose in this paper new join operators. This new join operators can provide more effective data management and standard interfaces to application programs in sensor networks.
Physician Websites: Current Trends
Authors: Maria H. Sanchez, Peter M. Sanchez
Venue: Proceedings of the 2009 International Conference on eHealth, Telemedicine, and Social Medicine (2009)

Physician websites are common in the world of health care, however, little empirical evidence exists to guide the development of physician websites. In this session, we provide data regarding consumer desires for physician website information and services. We also present the results of an investigation into the current trends in physician websites. We conduct a detailed investigation of over 300 physician websites, including determining if the websites contain the factors and services determined by our consumers to be important. Our results indicate that there is a large gap between consumer preference for physician website capabilities and current websites. Finally, we will present suggestions for physicians when designing their websites. We will note which features are likely to be most helpful to patients and also which features are likely to help physicians market their practices more effectively.
Study of Ni-Si thin-film interfacial reactions by coupling differential scanning calorimetry measurements and transmission electron microscopy analyses
Authors: S. Oukassi, J. S. Moulet, S. Lay, F. Hodaj
Venue: Microelectronic Engineering (2009)

In this paper, the solid-state interactions between a 500 nm thick Ni layer and a Si wafer are studied for temperatures up to 500^oC by coupling Differential Scanning Calorimetry (DSC) and Transmission Electron Microscopy (TEM). The phase transformation temperatures determined by DSC are about 250, 300, 350 and 410^oC. Dedicated samples were prepared to identify phase transformations occurring during heating up to these temperatures. TEM analyses show that the reaction product always consists of a continuous layer so that the nature of phase(s) formed at the interface can be determined. The reaction layer thickness is about 25, 50 and 150nm for samples heated to 250, 300 and 350^oC, respectively. Moreover, from TEM diffraction patterns, it is shown that, for such a thick layer of Ni deposited on Si substrate, the first phase forming at the Ni/Si interface is the metastable Ni"3Si compound.
Representation of Human Postures for Vision-Based Gesture Recognition in Real-Time
Authors: Antoni Jaume-I-Capó, Javier Varona, Francisco J. Perales
Venue: Gesture-Based Human-Computer Interaction and Simulation: 7th International Gesture Workshop, GW 2007, Lisbon, Portugal, May 23-25, 2007, Revised Selected Papers (2009)

Using computer vision to sense and perceive the user and his/her actions in a Human-Computer Interaction context is often referred to as Vision-Based Interfaces. In this paper, we present a Vision-Based Interface guided by the user gestures. Previously to recognition, the user's movements are obtained through a real-time vision-based motion capture system. This motion capture system is capable to estimate the user 3D body joints position in real-time. By means of an appropriate representation of limbs orientations based on temporal histograms, we present a scheme of gesture recognition that also works in real-time. This scheme of recognition has been tested through control of a classical computer videogame showing an excellent performance in on-line classification and it allows the possibility to achieve a learning phase in real-time due to its computational simplicity.
Distortion in polar modulated CMOS RF power amplifiers
Authors: Patrick Reynaert, Michiel Steyaert
Venue: Analog Integrated Circuits and Signal Processing (2009)

Polar modulation of a switching RF amplifier is an excellent candidate to combine both linearity, efficiency and CMOS integration for RF power amplifiers used in mobile and wireless communication systems. In this paper, the different sources of distortion associated with polar modulation are discussed and verified by measurement results. A fully integrated linearized CMOS RF Power Amplifier for GSM---EDGE, realized in a 0.18 μm CMOS technology, is used as a benchmark to validate the presented theory. It is demonstrated how the combination of a differential delay between the amplitude signal and the phase signal, together with the AM---PM distortion of the Class E amplifier, generates an asymmetry in the output spectrum. The effect of low-pass filtering of the envelope signal is investigated and the degradation on the linearity with and without delay adjustment is given.
Nonverbal leakage in robots: communication of intentions through seemingly unintentional behavior
Authors: Bilge Mutlu, Fumitaka Yamaoka, Takayuki Kanda, Hiroshi Ishiguro, Norihiro Hagita
Venue: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction (2009)

Human communication involves a number of nonverbal cues that are seemingly unintentional, unconscious, and automatic-both in their production and perception-and convey rich information on the emotional state and intentions of an individual. One family of such cues is called "nonverbal leakage." In this paper, we explore whether people can read nonverbal leakage cues-particularly gaze cues-in humanlike robots and make inferences on robots' intentions, and whether the physical design of the robot affects these inferences. We designed a gaze cue for Geminoid-a highly humanlike android-and Robovie-a robot with stylized, abstract humanlike features-that allowed the robots to "leak" information on what they might have in mind. In a controlled laboratory experiment, we asked participants to play a game of guessing with either of the robots and evaluated how the gaze cue affected participants' task performance. We found that the gaze cue did, in fact, lead to better performance, from which we infer that the cue led to attributions of mental states and intentionality. Our results have implications for robot design, particularly for designing expression of intentionality, and for our understanding of how people respond to human social cues when they are enacted by robots.
Plenary lecture I: computational design of optical fibers with desirable consumer characteristics
Authors: Les M. Sztandera
Venue: Proceedings of the 8th conference on Applied computer scince (2008)

Taking advantage of techniques from the field of Artificial Intelligence, the goal of our research is to construct systems that can computationally design polymer optical fiber formulations with specified desirable consumer characteristics. Polymers can offer cost effective and easily handled and installed optical components provided that materials are found that possess the necessary optical properties and reliability, so as not to be a barrier to commercial insertion. In this research we are focusing on two of the parameters, glass transition temperature and refractive index that influence a desired outcome in polymer optical fibers. Previous research indicated that performance can be optimized by engineering a polymer that exhibits a lower refractive index and glass transition temperature.
Change analysis in spatial datasets by interestingness comparison
Authors: Vadeerat Rinsurongkawong, Christoph F. Eick
Venue: SIGSPATIAL Special (2009)

Detecting changes in spatial datasets is important for many fields such as early warning systems that monitor environmental conditions, epidemiology, crime monitoring, and automatic surveillance. The goal of the presented research is the development of methodologies for change analysis in spatial datasets. An approach to change analysis is presented that analyses how the interesting regions in one time frame differ from the interesting regions in the next time frame with respect to a given interestingness perspective. Users are allowed to define their own interestingness perspectives that are captured in form of a reward-based fitness function. A change analysis framework is proposed in which reward-based fitness functions are maximized by clustering algorithms to find interesting regions for each dataset. Next, the relationships between interesting regions are analyzed. Two approaches to analyze correspondence between interesting regions are proposed. The first approach directly compares cluster models and strongly relies on analyzing relationships between polygons that capture the scope of an interesting region. The second approach compares cluster extensions that are computed by re-clustering. Finally, a knowledge base of change predicates is provided that allows analyzing various aspects of change, and report generators that are associated with particular predicates are proposed to generate summaries of change. Moreover, in contrast to most existing research, the framework does not assume that the identity of objects in the analyzed environment is known. The proposed framework is demonstrated in a case study that analyzes changes in earthquake patterns.
A Case Study in Engineering SQL Constraint Database Systems (Extended Abstract)
Authors: Sebastien Siva, James J. Lu, Hantao Zhang
Venue: Proceedings of the 24th International Conference on Logic Programming (2008)

Practical contexts for constraint satisfaction problems (CSP) often involve large relational databases. The recent proposal by Cadoli and Mancini, CONSQL, shows that a simple extension to SQL provides a viable basis for modeling CSP [1]. This enables the transparent integration of CSP solvers with databases using SQL --- the most widely known and popular database language, and opens the possibility for making the power of CSP technology accessible to SQL knowledgeable users.
A study on the web-based intelligent self-diagnosis medical system
Authors: Pyung-Jin Kwon, Heon Kim, Ungmo Kim
Venue: Advances in Engineering Software (2009)

U-Health is a representative realization method of ubiquitous IT and it is being embossed as an industry that can make our lives abundant. Through the u-Health, the diagnosis will go beyond the restriction of space, which is based on hospital, and be positioned as a universal value in a daily life by combining diagnosis and life naturally. The researcher would like to suggest systematical and intelligent medical diagnosis expert system that can give the effect same as the help from real experts with health check helper and scientific and objective knowledge that fit to the age and environment of changing. The system proposed in this paper suggests synthetic preventive health care methods by analyzing life style, food and nutritions beyond just finding the name of disease. This is intelligent medical expert system that suggests pre- and post-care and appropriate cure after analyzing one's own health condition on the basis of knowledge.
Python CS1 as preparation for C++ CS2
Authors: Richard J. Enbody, William F. Punch, Mark McCullen
Venue: Proceedings of the 40th ACM technical symposium on Computer science education (2009)

How suitable is a Python-based CS1 course as preparation for a C++-based CS2 course? After fifteen years of using C++ for both CS1 and CS2, the Computer Science Department at Michigan State University changed the CS1 course to Python. This paper examines the impact of that change on the second course in the sequence, CS2, which kept C++ as its primary language. We report results on a CS2 class which had a mixture of students who had used either C++ or Python from our CS1 course. The CS2 class covered the same topics as previously, though with some changes, and even gave the same final exam as a previous offering. Independent samples t-tests were used to compare students from the Python group with students from the non-Python group on three outcomes: final exam grade, programming projects scores, and final grade for the course. The main result was that there were no significant differences between the groups for all three outcomes. In addition, multiple regression analysis showed that students' past performance (overall GPA) in the University predicted final grades, final exam scores, and programming project scores for the course, but there was no effect of the programming language feature: Python or non-Python. We feel this shows that the Python-based CS1 course prepared students for the C++-based CS2 course as well as the C++-based CS1 course did---while exposing them to a different, powerful and useful language.
To Implement Distributed Multidisciplinary Federated Simulation for Collaborative Product Development
Authors: Heming Zhang, Hongwei Wang, David Chen
Venue: Computer Supported Cooperative Work in Design IV: 11th International Conference, CSCWD 2007, Melbourne, Australia, April 26-28, 2007. Revised Selected Papers (2008)

Complex artifacts and systems generally embody multidisciplinary knowledge, which make the computer supported collaboration among experts and designers a must. Multidisciplinary collaborative modeling and simulation (M S) technology is an effective approach for the design and development of the complex product. The challenge now faced is how to apply the multidisciplinary collaborative M S in the systematic level of complex product development. The key issue is how to integrate the heterogeneous, autonomous software tools in a distributed environment. In this paper, we report the rationale and implementation of such a multidisciplinary collaborative M S framework based on the high level architecture (HLA) and web services. The design process in the collaborative design paradigm is principally analyzed. A modeling and simulation platform with the focus of multidisciplinary collaborative design is presented. Besides its key technologies for HLA and web services based integration are studied. It turns out that this approach should be effective and intuitive very much by analyzing the tilting component of a tilting locomotive as an instance.
A feature extraction method of image based on dimensional transformation and SVD algorithm
Authors: Ran Jin, Zhuojun Dong
Venue: Proceedings of the 3rd WSEAS international conference on Computer engineering and applications (2009)

In this paper, a new matrix based on dimensional transformation is used to present a image,and then a set of efficient image features are extracted by using SVD algorithm. Through Theory analysis and experiment results, the method has well stability to have broad application and high efficient recognition rate.
Evolutionary computation using reinforced learning on image compression
Authors: Sadaf Sajjad, Sajjad Mohsin
Venue: Proceedings of the 8th conference on Signal, Speech and image processing (2008)

The present work is based on using the reinforced learning technique on evolutionary computation for compressing an image. We have reinforced the best code vectors for a codebook in vector quantization, and kept them alive for the next generation until we got the best image. A genetic algorithm model was designed using reinforced learning with the pairwise nearest neighbor approach (PNN). The proposed method was evaluated with respect to quality of compressed image by calculating Peak Signal to Noise Ratio (PSNR). We used Lena image for our experiments and the PSNR value for proposed method is 34.6.
System-level cost analysis and design exploration for three-dimensional integrated circuits (3D ICs)
Authors: Xiangyu Dong, Yuan Xie
Venue: Proceedings of the 2009 Asia and South Pacific Design Automation Conference (2009)

Three-dimensional integrated circuit (3D IC) is emerging as an attractive option for overcoming the barriers in interconnect scaling. The majority of the existing 3D IC research is focused on how to take advantage of the performance, power, smaller form-factor, and heterogeneous integration benefits that offered by 3D integration. However, all such advantages ultimately have to translate into cost savings when a design strategy has to be decided: Is 3D integration a cost effective technology for a particular IC design? Consequently, system-level cost analysis at the early design stage is imperative to help the decision making on whether 3D integration should be adopted. In this paper, we study the design estimation method for 3D ICs at the early design stage, and propose a cost analysis model to study the cost implication for 3D ICs, and address the following cost-related problems related to 3D IC design: (1) Do all the benefits of 3D IC design come with a much higher cost? (2) How can 3D integration be achieved in a cost-effective way? (3) Are there any design options to compensate the extra 3D bonding cost? A cost-driven 3D IC design flow is also proposed to guide the design space exploration for 3D ICs toward a cost-effective direction.
Detecting and correcting user activity switches: algorithms and interfaces
Authors: Jianqiang Shen, Jed Irvine, Xinlong Bao, Michael Goodman, Stephen Kolibaba, Anh Tran, Fredric Carl, Brenton Kirschner, Simone Stumpf, Thomas G. Dietterich
Venue: Proceedings of the 13th international conference on Intelligent user interfaces (2009)

The TaskTracer system allows knowledge workers to define a set of activities that characterize their desktop work. It then associates with each user-defined activity the set of resources that the user accesses when performing that activity. In order to correctly associate resources with activities and provide useful activity-related services to the user, the system needs to know the current activity of the user at all times. It is often convenient for the user to explicitly declare which activity he/she is working on. But frequently the user forgets to do this. TaskTracer applies machine learning methods to detect undeclared activity switches and predict the correct activity of the user. This paper presents TaskPredictor2, a complete redesign of the activity predictor in TaskTracer and its notification user interface. TaskPredictor2 applies a novel online learning algorithm that is able to incorporate a richer set of features than our previous predictors. We prove an error bound for the algorithm and present experimental results that show improved accuracy and a 180-fold speedup on real user data. The user interface supports negotiated interruption and makes it easy for the user to correct both the predicted time of the task switch and the predicted activity.
A Solution to Refining Precision of Pseudo-range for Real-Time Software-Defined GPS Receiver
Authors: Liu Jian, Wang Ke, Chen Wei, Xie Tao, Zhang Xiaole
Venue: Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 01 (2009)

in this paper, a novel design of refining precision of pseudo-range is presented and ameliorates the pseudo-range degradation in a scheme of reducing local code replicas' adjustment for real time software GPS receiver. The code phase error corresponding to pseudo-range degradation is estimated and compensated by linear interpolation and curve fitting, according to the discriminator output in delay locked loop (DLL). The final pseudo-range precision is validated by simulating and is improved to 2.827 meters with a position error about 8 meters.
A Mobile RFID-Based System for Supporting Evacuation of Buildings
Authors: Luca Chittaro, Daniele Nadalutti
Venue: Mobile Response: Second International Workshop on Mobile Information Technology for Emergency Response, MobileResponse 2008. Bonn, Germany, May 29-30, 2008, Revised Selected Papers (2009)

Natural and man-made disasters present the need to efficiently and effectively evacuate the people occupying the affected buildings. In such situations, people are usually under stress and the use of a location-aware mobile application for giving evacuation instructions in simple and effective ways can be useful to improve users' decision making. This paper proposes a mobile system that gives evacuation instructions by employing an interactive 3D location-aware model of the building. The main focus of the paper is on the solutions and the technologies adopted for determining user's position into the building and for interactively visualizing a 3D model of the building augmented with visual evacuation instructions on mobile devices.
Study on Key Problems in Multi-stage Deep Drawing Numerical Simulation of Ultra-thin Sheet
Authors: Feng Ruan, Langui Xu, Bo Wang
Venue: Proceedings of the 2009 International Conference on Computer Modeling and Simulation (2009)

For the mesh warping and simulation automatically cease in multi-stage drawing numerical simulation of ultra-thin sheet, the reasons are analyzed and solutions are presented. Through pen shell multi-stage drawing it can be seen that adaptive meshing and correct control mass factor is the key to resolve the problems.