ppxscal/embedding_network huggingface dataset:
The Applicability of the Perturbation Model-based Privacy Preserving Data Mining for Real-world Data
Authors: Li Liu, Bhavani Thuraisingham
Venue: Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops (2006)

Perturbation method is a very important technique in privacy preserving data mining. In this technique, loss of information versus preservation of privacy is always a trade off. The question is, how much are the users willing to compromise their privacy? This is a choice that changes from individual to individual. In this paper, we propose an individually adaptable perturbation model, which enables the individuals to choose their own privacy level. Hence our model provides different privacy guarantees for different privacy preferences. We test our new perturbation model by applying different reconstruction methods to the perturbed data sets. Furthermore, we build decision tree and Naive Bayes classifier models on the reconstructed data sets both for synthetic and real world data sets. For the synthetic data set, our experimental results indicate that our model enables the users to choose their own privacy level without reducing the accuracy of the data mining results. For the real world data sets, we got very interesting results, hence we pose the question of whether the perturbation reconstruction model-based privacy preserving data mining is applicable for real-world data?
Application of non-uniform to uniform data mapping to: Shallow angle LIDAR with the introduction of independent variable techniques
Authors: M. R. Belmont
Venue: Signal Processing (2007)

Vessel mounted shallow angle LIDAR makes it possible to measure the profile of sea waves at distances up to 1km remote from the craft on which the instrument is mounted which enables a whole range of novel marine applications. However, the spatial sample locations at which the wave profiles are measured are highly non-uniformly distributed in space which renders most traditional discrete data processing techniques unusable. Consequently, in order to use the measurements it is necessary to remap the wave profile data onto an equivalent uniform sampled grid. Furthermore, to achieve the maximum range such LIDARS must operate at or near to the bare Nyquist minimum number of data points and thus local interpolation is not viable for this task. Existing non-uniform to uniform mapping methods are explored in relation to shallow angle LIDAR together with a new approach based upon transformation of the independent variable. This avoids the usual problems associated with ill conditioning that affect inversion based techniques and does not require regularisation. The discussion is illustrated using a combination of simulations and actual LIDAR wave profile measurements which are mapped onto uniform sample distributions. Effects such a wave shadowing are considered in which non-uniformities extend over several equivalent uniform steps.
Using Physical Clocks for Replication in MANETs
Authors: Manuel Scholz, Frank Bregulla, Annika Hinze
Venue: Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops (2007)

When update-anywhere data replication is performed in a MANET, operations on replicated data are often executed concurrently. To achieve a global total ordering of all operations, we propose a hybrid timestamp mechanism that combines physical clocks and logical timestamps. Our approach overcomes the ordering problem that arises from imprecisely synchronized physical clocks. We overlay the timestamps of operations with a grid of time-slots. To order the operations, we use physical clocks for operations in different time-slots and logical clocks for operations within the same time-slot. We prove that our method guarantees a total ordering when using an appropriate grid width.
Essays on agility in software development teams: process and governance perspectives
Authors: Ritu Agarwal, Viswanath Venkatesh
Venue:  (2006)

Software project teams are often faced with the potential for changing requirements during software development. Such changes present a significant challenge to software project teams often resulting in cost overruns, missed deadlines, and faulty code. While the phenomenon of requirements changes by itself is not new, the frequency with which such changes occur has increased in recent years. Software project teams continue to be challenged by the uncertainty caused by the potential for such changes. Flexibility has been identified as a desirable characteristic of teams in this type of environment. This dissertation is made up of two essays that examine the processes and governance mechanisms that can potentially enable software project teams to achieve greater flexibility. The first essay provides a team process-oriented view of the problem. Specifically, agile programming practices and boundary spanning activities are argued to enhance software project team effectiveness by receiving customer feedback and incorporating requirements changes on an on-going basis. A longitudinal field study of 56 software development teams provides support for these arguments. The second essay adopts a team governance lens. Specifically, formal and informal control modes are posited to influence software project team effectiveness. Control mechanisms that promote team autonomy and flexibility are argued to positively influence software project team effectiveness. Further, team leader behaviors are also expected to play a critical role in facilitating software project team effectiveness. These arguments are tested and largely supported. Together, the two essays shed light on how software project teams can be designed to have greater flexibility---an important stepping stone for managing software development in the face of requirements uncertainty.
AIS for Trend Change Detection
Authors: Andrzej Domaradzki
Venue: Proceedings of the 6th International Conference on Computer Information Systems and Industrial Management Applications (2007)

This article present outstanding results given by the new application of Artificial Immune Systems in trend change detection in time series. Author's system (GRASICA3), has been evaluated on a financial time series containing daily quotas of the main index of the Warsaw's stock exchange (WIG) and additionally on a synthetic time series generated using the Monte Carlo method. Very good results which have been obtained (>60% of accuracy in trend change signals) are compared to results of other systems known from a bibliography, designed by Gutjahr and Kingdon. In the next stage the author provides a comparison of the GRASICA3 results to results given traditional statistical modeling methods such as, a very popular Box-Jenkins and Arima X-12 algorithms.
System usability evaluation for input operation using oculo-motors
Authors: Minoru Nakayama, Makoto Katsukura
Venue: Proceedings of the eight Australasian conference on User interface - Volume 64 (2007)

This paper investigates the relationship between oculomotors, which consist of eye-movement and pupillary change, and the traditional subjective index for "usability", to determine the possibility of evaluating Human-Computer Interaction (HCI). An evaluation experiment was conducted by operating a target on a computer display using input devices: mouse, keyboard and key pad. The results show there is a significant correlated relationship between the pupil size and the SU-score, which is an established subjective evaluation index for system usability. These results provide evidence that pupil size can be used as an index of the system's usability, and also that the SU-score can be estimated from the pupil size. The indices of eye-movement, which consist of saccade frequency, saccade length and saccade time, indicate characteristics of the input operation behavior. These two results suggest that pupil size and index of eye-movement as oculo-motor indices, can provide information about a system's overall usability regarding the input operation task. Additionally, these indices show stability even during short observation periods. This suggests that it is possible to observe temporal changes of system usability. The results provide evidence that oculo-motors can be an index of system usability.
A student designed, Web-based learning program for circuit analysis
Authors: E. C. Shaffer
Venue: Proceedings of the 30th Annual Frontiers in Education - Volume 01 (2000)

There are many topics in an undergraduate electrical engineering curriculum which are amenable to programmed learning. Traditionally, such instruction is achieved by means of a hard copy programmed text that the student works through, looking at solutions after completing an exercise and moving ahead or going back for remediation as necessary. Web based programmed learning has a particular advantage over traditional media because student actions can be captured electronically as the student works through the materials. This information can be used as valuable feedback for both instructor and student. The review and intelligent processing of the actions that the student takes to navigate through the programmed instruction can reveal important information regarding the nature and frequency of errors made. For example, an instructor can require all students to do Web based programmed instruction as a homework exercise; the subsequent aggregated feedback allows the instructor to pinpoint the most troublesome aspects of the material. Computer science students at the United States Military Academy (USMA) have designed a prototype Web based application for performing electrical circuit analysis instruction as a senior design project. Details of the prototype and early experiences for applying it to an undergraduate engineering course are described. Plans for future extensions of material development and management are summarized.
Enterprise System Introduction with Controlling Enabled Configurative Models
Authors: Christian Seel, Patrick Delfmann, Tobias Rieke
Venue: Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (2006)

Customization of Enterprise Systems (ES) is often a time and cost consuming task. Therefore many of these ES, such as SAP R/3, are provided with preconfigured processes and data objects that can be regarded as best-practice and which are documented by reference information models. Customizing can be accelerated if these models are used for the customization process. This requires profound configuration and adaptation mechanisms that encompass variants due to specific customer needs. To ensure continuous improvement towards a shorter customization time and reduced cost, controlling of the adaptation process becomes a crucial task. This controlling aims at improving the reference model basis and their configuration mechanisms. Therefore we introduce configuration mechanisms that can be used to adapt reference information models due to company characteristics. Afterwards the configuration mechanisms are interpreted by the ES to perform the necessary customization steps.
Some characteristics of speech produced under high G-force and pressure breathing
Authors: A. J. South
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 04 (1999)

The performance of speech recognisers in a combat aircraft is degraded seriously by the extreme physical stresses to which the crew are subjected. This paper describes measurements of first and second formant frequencies of nine vowels from one speaker recorded under high levels of acceleration, with and without positive pressure breathing. Under acceleration alone, F2 is reduced for high front vowels, while F1 remains constant, but for back and mid vowels, F1 reduces with little change in F2. When positive pressure breathing is introduced, nearly all vowels are affected, and the "vowel triangle" on the F1-F2 plane collapses inwards, towards the neutral vowel position. If these changes are found to be consistent between speakers, it is hoped to develop techniques of voice transformation to reverse them and thus improve the performance of speech recognisers in this harsh environment. 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
Web based global technology management education
Authors: R. Jacoby
Venue: Proceedings of the 28th Annual Frontiers in Education - Volume 01 (1998)

The aim of this article is to share with the engineering education community some of the Cooper Union's innovative Web based work developed to prepare our students for global technology management in the 21st century. We hope that our positive experience will inspire other educators to participate in our future simulations, and develop new courses or projects related to this timely and growing field.
Efficiency Measurement for Hospitals Owned by the Iranian Social Security Organisation
Authors: Hossein Hajialiafzali, J. R. Moss, M. A. Mahmood
Venue: Journal of Medical Systems (2007)

This study used Data Envelopment Analysis (DEA) to examine the relative efficiency of hospitals owned by the Iranian Social Security Organization, which is the second largest institutional source of hospital care in that country. Using data for the year 2002, 26 of the 53 hospitals were deemed to be efficient. Inefficient hospitals had an average score of 90%, implying a potential reduction in all inputs on average by about 10% with no impact on output levels. In addition to the conventional DEA measurement, efficient hospitals were ranked by calculating super-efficiency scores, by identifying weak efficient hospitals, and by determining the frequency of peers. The study provides useful information for improving hospital management, rationalizing resource allocation, and improving services provided by hospitals.
MaBL: a tool for mapping pseudocode to multiple implementation languages
Authors: Adrian Albin-Clark
Venue: Proceedings of the 12th annual SIGCSE conference on Innovation and technology in computer science education (2007)

Some students have done little or no programming. Some may have previously used the adopted language(s) of an institution. For some, English may not be their first spoken language. Some may be dyslexic. Bridging material for intra- or inter-institutional programming languages may not exist. A new tool MaBL is proposed, that facilitates mapping pseudocode to program statements in multiple implementation languages.
Temporal spatio-velocity transform and its applications
Authors: J. K. Aggarwal
Venue:  (2006)

Object tracking is important in various applications such as video surveillance systems, video annotation systems, and human interaction classification systems. Occlusion and noise are the most significant problems in object tracking. In order to overcome these problems, I introduce the temporal spatio-velocity (TSV) transform, which extracts pixel velocities from image sequences. The TSV transform appends the velocity axes to the image sequences and separates occluding objects based on their velocities. The TSV transform is derived from the Hough transform over windowed spatio-temporal images. I present the methodology of the transform and its implementation in an iterative computational form. The intensity at each pixel in the TSV image represents a measure of the likelihood of occurrence of a pixel with instantaneous velocity in the current position. Binarization of the TSV image extracts blobs based on the similarity of velocity and position. The TSV transform provides an efficient way to remove noise by focusing on stable velocities, and constructs noise-free blobs. In this dissertation, I introduce three applications using the TSV transform. The applications are (i) human interaction recognition system, (ii) object tracking system in occluding environments, and (iii) soccer player tracking system. The human interaction recognition system uses side-view image sequences and tracks persons walking on sidewalks. Then it recognizes the interactions between two persons such as "two persons meet from different directions" and "one person follows another person". The system correctly tracks persons and recognizes the interactions between them. The object tracking system in occluding environments tracks moving objects behind static obstacles, such as trees and fences. Although the static obstacles divide moving objects into several pieces both temporally and spatially, the system correctly tracks the objects. The soccer player tracking system tracks soccer players and referees using the ordinary TV broadcasting images. Although the soccer players make complex movements and the camera moves frequently, the system correctly tracks the players and referees.
Automating knowledge flows by extending conventional information retrieval and workflow technologies
Authors: J. Leon Zhao
Venue:  (2007)

The efficiency of knowledge flow has been observed to be an important factor in the success of large corporations and communities. In recent years, the concept of knowledge flow has been widely investigated from economics, organizational science and strategic management perspectives. In this dissertation, we study knowledge flows from an Information Technology perspective. The technological challenges to enabling the efficient flow of knowledge can be characterized by two key problems, the passive nature of current knowledge management technologies and the information overload problem. In order to enable efficient flow of knowledge, there is a need for high precision recommender systems and proactive knowledge management technologies that automate knowledge delivery and enable the regulation, control and management of knowledge flows. Although several information retrieval and filtering techniques have been developed over the past decade, delivering the right knowledge to the knowledge workers within the right context remains a difficult problem. In this dissertation, we integrate and build upon the information retrieval and workflow literature to develop and evaluate technologies that address the critical gap in current knowledge management systems. Specifically, we make the following key contributions: (1) we demonstrate a concept-hierarchy-based filtering mechanism and evaluate its efficiency for knowledge distribution. (2) We propose a new architecture that supports the automation of knowledge flow via task-centric document recommendation, and develop a query generation technique for automatically deriving queries from task descriptions and evaluate its efficacy in a domain-specific corpus. (3) We develop an analytical model for predicting the performance of a query and validate the model by analyzing its performance in several domain-specific corpora. (4) We propose a new type of workflow called knowledge workflows to automate the flow of knowledge in an enterprise and present a formal model for representing and executing knowledge workflows. The lack of an enterprise wide knowledge flow infrastructure is one of the major impediments to knowledge sharing across an organization. We believe the technologies proposed in this dissertation will contribute towards a new generation of knowledge management systems that will enable the efficient flow of knowledge and eliminate the technological barriers to knowledge sharing across an organization.
Functional Tests of the RADIC Fault Tolerance Architecture
Authors: Angelo Duarte, Dolores Rexachs, Emilio Luque
Venue: Proceedings of the 15th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (2007)

Clusters with thousand of nodes are a reality and the current trend indicates that they are becoming larger. Such large clusters are subject to a relatively high fault frequency so a fault-tolerance scheme is mandatory to assure the correct application completion. Message passing is the programming model often used in large clusters and the current implementations used to achieve fault tolerance in message passing systems do not focus in an architecture that simultaneously attends to scalability, transparency and independence of stable/central elements. The RADIC architecture was proposed and design as a fully distributed structure in order to achieve such requirements. Such architecture defines a fully distributed fault tolerance controller implemented by a set of system processes, which collaborate in order to perform all the basic functions of a fault tolerance protocol. This paper presents the test methodology used to verify the functionality of the RADIC architecture using RADICMPI, a prototype on the MPI semantic.
Estimation of aircraft altitude and altitude rate with over-the-horizon radar
Authors: M. Papazoglou
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 04 (1999)

In previous work, a matched-field estimate of aircraft altitude which uses multiple over-the-horizon radar dwells was presented. This approach exploited the altitude dependent structure of the micro-multipath rays which result from reflections local to the aircraft. While it was shown that the multi-dwell matched-field estimate is able to accurately estimate altitude while using typical radar parameters, the estimate was derived assuming that the aircraft altitude is constant for the duration of the track. In this paper, a matched field method for jointly estimating altitude and altitude rate is presented which extends the micro-multipath model to include effects of constant altitude rate on the micro-multipath Doppler frequencies. Simulation results illustrate that altitude and altitude rate can be jointly estimated while achieving an altitude estimation accuracy of /spl plusmn/2500 feet using 10 radar dwells.
Evaluating compound critiquing recommenders: a real-user study
Authors: James Reilly, Jiyong Zhang, Lorraine McGinty, Pearl Pu, Barry Smyth
Venue: Proceedings of the 8th ACM conference on Electronic commerce (2007)

Conversational recommender systems are designed to help users to more efficiently navigate complex product spaces by alternatively making recommendations and inviting users' feedback. Compound critiquing techniques provide an efficient way for users to feed back their preferences (in terms of several simultaneous product attributes) when interfacing with conversational recommender systems. For example, in the laptop domain a user might wish to express a preference for a laptop that is "Cheaper, Lighter, with a Larger Screen". While recently a number of techniques for dynamically generating compound critiques have been proposed, to date there has been a lack of direct comparison of these approaches in a real-user study. In this paper we will compare two alternative approaches to the dynamic generation of compound critiques based on ideas from data mining and multi-attribute utility theory. We will demonstrate how both approaches support users to more efficiently navigate complex product spaces highlighting, in particular, the influence of product complexity and interface strategy on recommendation performance and user satisfaction.
A mathematical description of the dot diffusion algorithm in image halftoning with application in inverse halftoning
Authors: M. Mese
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06 (1999)

The dot diffusion method for digital halftoning has the advantage of parallelism unlike the error diffusion method. The method was previously improved by optimization of the so-called class matrix so that the resulting halftones are comparable to the error diffused halftones. We give a mathematical description of the dot diffusion method. This description is then applied in inverse halftoning.