ppxscal/embedding_network huggingface dataset:
Pitch modification based on syllable units for voice morphing system
Authors: Yinqiu Gao, Zhen Yang
Venue: Proceedings of the 2007 IFIP International Conference on Network and Parallel Computing Workshops (2007)

An innovative scheme of voice morphing is proposed to make the speech of a source speaker sound like uttered by a target speaker. The morphing technique can hide people's identity, age, gender while chatting and doing other things related to the transformation of speech streams online, which can ensure the privacy on the prevalent internet. Speaker individuality transformation is achieved by altering the spectral envelope and estimating the excitation signal by modifying the fundamental pitch frequency in syllable units of the residual signal of the source speech based on linear prediction coding (LPC) model. The main advantage of this scheme relies in the aspect of having considered the dynamic characteristic of the pitch frequency, not just focusing on the average level, which enhances the performance of the whole conversion system compared with general concepts such as discrete pitch frequency mapping and so on. Moreover, in the aspect of the alignment of line spectral frequencies (LSFs) vectors, an advanced technique based on isolated syllables rather than the general dynamic time warping algorithm (DTW) is introduced. The experimental results show that the system is capable of effectively transforming speaker identity whilst the converted speech maintains high quality.
Rule-based reduction of alarm signals in industrial control
Authors: Jonas Ahnlund, Tord Bergquist, Lambert Spaanenburg
Venue: Journal of Intelligent Fuzzy Systems: Applications in Engineering and Technology (2003)

The proper handling of alarms is crucial to any automated process control. In practice, many alarms are only distractive and do not represent a potentially dangerous situation. This paper presents a methodology and a computerized tool that aims to remove such nuisance alarms, a so-called alarm cleanup. This is a general, systematic approach that takes advantage of the control system's built-in functions, and is a first step to an improved overall alarm situation. By the strong reduction of the alarm count, the efficient construction of fault diagnosis and isolation models becomes feasible. In a typical case study, the number of alarms received at the remote control room of an operational bio-fueled District Heating Plant was effectively reduced by 83%.
A Spam Filter approach with the Improved Machine Learning Technology
Authors: Xiu-Li Pang, Yu-Qiang Feng, Wei Jiang
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 02 (2007)

This paper presents an improved machine learning technology to automatically filter out spam. Two kinds of work are done by us. Firstly, in order to overcome the sparse data problem, which is almost suffered from by all the corpus based supervised learning classifiers, we propose to incorporate the smoothing algorithm into the naïve bayes (NB) model. Secondly, Support Vector Machine (SVM) is good at the classification task with the high dimension feature space, and has the good generalization in small-scale samples. A high-efficient SVM is presented to reduce the storage requirement and decrease the time computing complexity. Thirdly, a specialty word extraction algorithm based on Information Entropy is presented in this paper, which can improve the performance of Chinese Word Segmentation, accordingly, improve the spam filter task in English and in Chinese .Experiments show that the improvement in NB acquires by 1.38% precision, and it is 0.69% higher precision than the SVM.
CTU-Mine: An Efficient High Utility Itemset Mining Algorithm Using the Pattern Growth Approach
Authors: Alva Erwin, Raj P. Gopalan, N. R. Achuthan
Venue: Proceedings of the 7th IEEE International Conference on Computer and Information Technology (2007)

Frequent pattern mining discovers patterns in transaction databases based only on the relative frequency of occurrence of items without considering their utility. For many real world applications, however, utility of itemsets based on cost, profit or revenue is of importance. The utility mining problem is to find itemsets that have higher utility than a user specified minimum. Unlike itemset support in frequent pattern mining, itemset utility does not have the anti- monotone property and so efficient high utility mining poses a greater challenge. Recent research on utility mining has been based on the candidate-generation- and-test approach which is suitable for sparse data sets with short patterns, but not feasible for dense data sets or long patterns. In this paper we propose a new algorithm called CTU-Mine that mines high utility itemsets using the pattern growth approach. We have tested our algorithm on several dense data sets, compared it with the recent algorithms and the results show that our algorithm works efficiently. Keywords Utility mining, high utility itemset, frequent pattern
A Scalable Peer-to-Peer Overlay for Applications with Time Constraints
Authors: Bo Liu, Yansheng Lu
Venue: Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 02 (2007)

With the development of Internet, p2p is increasingly receiving attention in research. Recently, a class of p2p applications with time constraints appear. These applications require a short time to locate the resource and(or) a low transit delay between the resource user and the resource holder, such as Skype, MSN. In this paper we propose a scalable p2p overlay for applications with time constraints. Our system provides supports for just two operations for uplayered p2p applications: (1) Given a resource key and the node's IP who holds the resource, it registers the resource information to the associated node in at most two overlay hops; and (2) Given a resource key and a time constraint(0 for no constraint), it returns if possible a path(one or two overlay hops) to the resource holder, and the transit delay of the path is lower than the time constraint. Results from theoretical analysis and simulations show that our system is viable and scalable.
The Art of Writing Large Programs
Authors: D. B. Simmons
Venue: Computer (1972)

When writing small programs, one can use many unwise practices which have little effect on whether a program meets its design objectives as long as the program works. But, when writing large programs, poor program writing techniques can increase development time and cost and can cause maintenance difficulties after development. The problem of low programmer productivity associated with membership in large programming efforts is examined. To place the problem of writing large programs into proper perspective, factors one must live with are described. Techniques for improving productivity are then presented with emphasis placed on improving communications. Areas covered are programmer education, environment, task assignment and supervision along with program organization and documentation.
Dimensionality reduction of features for text categorization
Authors: Parisut Jitpakdee, Worapoj Kreesuradej
Venue: Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology (2007)

This paper proposes a new technique for dimensionality reduction of features for text categorization. Unlike conventional method, our phrase features are generated based on word sequences of different length (Multigrams) from phrases extracted from whole documents. Then, we utilize Odds ratio (OR) to perform phase feature selection. From preliminary experiments, the proposed techniques show better performance than that of conventional methods.
Dynamic optimization of investments in the economic growth models
Authors: A. A. Krasovskii, A. M. Taras'Ev
Venue: Automation and Remote Control (2007)

Consideration was given to the optimal control of investments in the economic growth model. The basic construction of the model is the production function relating the growth of production with the dynamics of production factors, and the investments in the production factors are the control parameters. The integral indicator of the discounted consumption index is the optimization functional. The Pontryagin principle of maximum for problems on infinite horizon was used to construct the optimal investment control. For the corresponding Hamiltonian system, considered were its qualitative properties such as existence and uniqueness of the steady state, properties of the eigenvalues and eigenvectors of the linearized system, and characteristics of the saddle point. This analysis allows one to obtain an algorithm to construct the optimal growth trajectories. The model was calibrated for the USA macroeconomic indicators.
Momentum transport in granular flows
Authors: Gregg Lois, Anaël Lemaítre, Jean M. Carlson
Venue: Computers Mathematics with Applications (2008)

We investigate the error induced by considering only binary collisions in the momentum transport of hard-sphere granular materials, as is done in kinetic theories. In this process, we first present a general microscopic derivation of the momentum transport equation and compare it to the kinetic theory derivation, which relies on the binary collision assumption. These two derivations yield different microscopic expressions for the stress tensor, which we compare by using numerical simulations. This provides a quantitative bound on the regime where binary collisions dominate momentum transport and reveals that most realistic granular flows occur in the region of phase space where the binary collision assumption does not apply.
A Novel Representation of Concept Hierarchy Based on Quotient Space Model
Authors: Xue-jun Li, Long-shu Li, Ling Zhang, Yi Xu
Venue: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 01 (2007)

Concept hierarchies are important in many generalized data mining applications, such as multiple-level fuzzy association rule mining. Usually concept hierarchies are given by domain experts. However, it is extremely difficult and time-consuming for human experts to discover concepts and construct concept hierarchies from the domain. In literature, several representations of concept hierarchy are possible, for example tree, lattice, table, linked list, arbitrary graph etc. In this paper, we apply quotient space model to representing concept hierarchies. In contrast to others, the representation model is much more extensible and compatible. The results indicate that this technique can improve the efficiency of performing the generalization and specialization operation in concept hierarchies.
Engine Noise of Identification using an Improved Blind Sources Separation Algorithm
Authors: Lin Yongman, Lin Tusheng
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 02 (2007)

Engine noise of identification is a key technique on controlling engine noise. Traditionally, each of noises is separated to test. That is complicated, and experiment is needed many tested instruments. The paper proposes a novel approach to identify engine noise. The approach utilizes blind sources separation (BSS) to separated engine noise according to mixing noise of engine. Two experiment results indicate the effectiveness of this new algorithm that has low requirements for experiment environments and the amount of measure instruments. We approach an improved AC algorithm that is lesser time for separated mixing noise than the AC algorithm.
Results of the Synthesis of Optimal Networks of AND and OR Gates for Four-Variable Switching Functions
Authors: J. N. Culliney
Venue: IEEE Transactions on Computers (1979)

This correspondence presents the results of the synthesis of optimal feed-forward networks of just AND and OR gates for representative functions of the 222 n-p-n-equivalence classes into which all functions of four or fewer variables can be categorized. (Optimality here means minimization of the number of gates as the primary objective and minimization of the number of connections as the secondary objective, regardless of the number of levels. No fan-in or fan-out restriction is imposed.) Based on these results, instructions are given for obtaining optimal networks for desired functions of four or fewer variables which are not representative functions. The branch-and-bound computer program ILLOD-(AND-OR-B) was used to obtain the optimal networks presented.
Improved Visual Design for Graphics Display
Authors: Susan Reilly, John Roach
Venue: IEEE Computer Graphics and Applications (1984)

The principles of good visual design used in advertising can help programmers design effective computer displays that will substantially improve the man-machine interface.
Hints on Test Data Selection: Help for the Practicing Programmer
Authors: R. A. DeMillo
Venue: Computer (1978)

In many cases tests of a program that uncover simple errors are also effective in uncovering much more complex errors. This so-called coupling effect can be used to save work during the testing process.
Chronos: A timing analyzer for embedded software
Authors: Xianfeng Li, Yun Liang, Tulika Mitra, Abhik Roychoudhury
Venue: Science of Computer Programming (2007)

Estimating the Worst Case Execution Time (WCET) of real-time embedded software is an important problem. WCET is defined as the upper bound b on the execution time of a program P on a processor X such that for any input the execution time of P on X is guaranteed to not exceed b. Such WCET estimates are crucial for schedulability analysis of real-time systems. In this paper, we present Chronos, a static analysis tool for generating WCET estimates of C programs. It performs detailed micro-architectural modeling to capture the timing effects of the underlying processor platform. Consequently, we can provide safe but tight WCET estimate of a given C program running on a complex modern processor. Chronos is an open-source distribution specifically suited to the needs of the research community. We support processor models captured by the popular SimpleScalar architectural simulator rather than targeting specific commercial processors. This makes the Chronos flexible, extensible and easily accessible to the researcher.
Hardware/Software co-design of a key point detector on FPGA
Authors: H. Djakou Chati, F. Muhlbauer, T. Braun, C. Bobda, K. Berns
Venue: Proceedings of the 15th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (2007)

The design and implementing of a key point detector on embedded reconfigurable hardware is investigated. The major challenges are efficient hardware/software partitioning of the key point detector algorithm, data flow management as well as efficient use of memory, bus and processor. We present a modular and manual hardware/software co-design, with its implementation on a Xilinx XUP-Virtex II Pro board co-design to solve these issues.
Reliable device drivers require well-defined protocols
Authors: Leonid Ryzhyk, Timothy Bourke, Ihor Kuz
Venue: Proceedings of the 3rd workshop on on Hot Topics in System Dependability (2007)

Current operating systems lack well-defined protocols for interaction with device drivers. We argue that this hinders the development of reliable drivers and thereby undermines overall system stability. We present an approach to specify driver protocols using a formalism based on state machines. We show that it can simplify device programming, facilitate static analysis of drivers against protocol specifications, and enable detection of incorrect behaviours at runtime.
A Musical Approach to Artificial Emotion
Authors: Jin-xian Lin, Yin Guan
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 02 (2007)

Emotions were proven to play an important part in human intelligence. As a fellow of AI (Artificial Intelligence), there are many issues and argues in the area of artificial emotion (AE). An interesting new model is presented in a musician's point of view to solve the problems how machine can "apperceive", "develop" and "express" feelings emoting like human being. This model simulates the musical communications between musician (e.g. a composer and a pianist performing his works, or a conductor and his orchestra), which seem to be a "pure" emotional exchange.
White blood cell segmentation using morphological operators and scale-space analysis
Authors: Leyza Baldo Dorini, Rodrigo Minetto, Neucimar Jeronimo Leite
Venue: Proceedings of the XX Brazilian Symposium on Computer Graphics and Image Processing (2007)

Cell segmentation is a challenging problem due to both the complex nature of the cells and the uncertainty present in video microscopy. Manual methods for this purpose are onerous, imprecise and highly subjective, thus requiring automated methods that perform this task in an objective and efficient way. In this paper, we propose a novel method to segment nucleus and cytoplasm of white blood cells (WBC). WBC composition of the blood provides important information to doctors and plays an important role in the diagnosis of different diseases. We use simple morphological operators and explore the scale-space properties of a toggle operator to improve the segmentation accuracy. The proposed scheme has been successfully applied to a large number of images, showing promising results for varying cell appearance and image quality, encouraging future works.
A test framework for integration testing of object-oriented programs
Authors: Tom Maibaum, Zhe (Jessie) Li
Venue: Proceedings of the 2007 conference of the center for advanced studies on Collaborative research (2007)

A lot of research has been done in the field of testing object-oriented programs. However, integration testing forms only a small part of this work and few tools are available to implement the integration testing approaches. This paper presents a new integration testing approach for object-oriented programs and a prototype tool supporting the testing approach. Unlike previous approaches, the proposed technique generates test cases using the concept of Coordination Contract, a specification mechanism which superposes behavior on components without interfering with their implementations. It is related to the concept of active association in UML. One of the advantages in using contracts is that there is a well-developed Coordination Development Environment (CDE) which can transform contracts into Java classes that can be compiled with the components to form a test framework. We describe a tool to automatically generate the contracts from UML sequence diagrams and class diagrams and to accomplish the automation of test execution by using CDE.
Hydrologic Simulations with Artificial Neural Networks
Authors: Qin Ju, Zhongbo Yu, Zhenchun Hao, Changjun Zhu, Dedong Liu
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 02 (2007)

A back-propagation (BP) neural networks model was used for simulating daily streamflows in the upper area of Nangao Reservoir at Shanwei City, Guangdong Province, China. Approaches and techniques of applying the BP model in runoff simulation are presented in this paper. A comparison of the BP model to the Xinanjiang model was also conducted to evaluate the performance of the BP model. The simulated results indicate a satisfactory performance in the streamflow forecasting with the BP model. The study concludes that the BP model has the high practicability and good accuracy for describing complex nonlinear hydrologic processes.
Lean optimization using supersaturated experimental design
Authors: Iana Siomina, Sven Ahlinder
Venue: Applied Numerical Mathematics (2008)

In practice, product development implies studying numerous factors that affect the final product quality and define its cost. The selection of factors to study has been left to engineers. This work is an attempt for an opposite approach which does not require selecting a small subset of factors explicitly but allows us to briefly investigate most of the parameters using a limited number of experiments. Even more, we assume that the number of experiments can be smaller than the number of parameters. The paper focuses on statistical optimization using supersaturated experimental design. The authors present a new algorithm for exploring a multi-parameter system and performing a lean optimization procedure without spending a lot of efforts. The algorithm aims at making the industrial experimental process more efficient both from the resource consumption and the economic point of view. This is especially important in first stages of system analysis and has therefore practical application in industry where each experiment is very expensive and time-consuming. Numerical results demonstrate efficiency of the algorithm which has been tested for both theoretical and realistic models.
Chloe@University: an indoor, mobile mixed reality guidance system
Authors: Achille Peternier, Xavier Righetti, Mathieu Hopmann, Daniel Thalmann, Matteo Repettoy, George Papagiannakis, Pierre Davy, Mingyu Lim, Nadia Magnenat-Thalmann, Paolo Barsocchi, Tasos Fragopoulos, Dimitrios Serpanos, Yiannis Gialelis, Anna Kirykou
Venue: Proceedings of the 2007 ACM symposium on Virtual reality software and technology (2007)

With the advent of ubiquitous and pervasive computing environments, one of promising applications is a guidance system. In this paper, we propose a mobile mixed reality guide system for indoor environments, Chloe@University. A mobile computing device (Sony's Ultra Mobile PC) is hidden inside a jacket and a user selects a destination inside a building through voice commands. A 3D virtual assistant then appears in the see-through HMD and guides him/her to destination. Thus, the user simply follows the virtual guide. Chloe@University also suggests the most suitable virtual character (e.g. human guide, dog, cat, etc.) based on user preferences and profiles. Depending on user profiles, different security levels and authorizations for content are previewed. Concerning indoor location tracking, WiFi, RFID, and sensor-based methods are integrated in this system to have maximum flexibility. Moreover smart and transparent wireless connectivity provides the user terminal with fast and seamless transition among Access Points (APs). Different AR navigation approaches have been studied: [Olwal 2006], [Elmqvist et al.] and [Newman et al.] work indoors while [Bell et al. 2002] and [Reitmayr and Drummond 2006] are employed outdoors. Accurate tracking and registration is still an open issue and recently it has mostly been tackled by no single method, but mostly through aggregation of tracking and localization methods, mostly based on handheld AR. A truly wearable, HMD based mobile AR navigation aid for both indoors and outdoors with rich 3D content remains an open issue and a very active field of multi-discipline research.
Oxygenation and blood flow in tumors treated with hydralazine: Evaluation with a novel luminescence-based fiber-optic sensor
Authors: Tomaž Jarm, Gregor Serša, Damijan Miklavčič
Venue: Technology and Health Care (2002)

Two optical methods were used simultaneously to evaluate the effect of a vasoactive drug hydralazine on oxygenation and blood flow in SA-1 tumors in A/J mice. A novel luminescence-based optical sensor (OxyLite instrument, Oxford Optronix, UK) was used to monitor partial pressure of oxygen (pO_2) in tumors. Laser Doppler flowmetry was used to assess relative blood perfusion in tumors. Measurements were performed continuously on anesthetized mice before and after i.v. injection of hydralazine at a dose of 2.5 mg/kg. Hydralazine reduced pO_2 on average by 80% minutes after injection. Our results indicate that hydralazine could be used to improve the antitumor effectiveness of hypoxic cell-specific therapies. We demonstrated that both optical methods can be used successfully to detect changes in blood perfusion and oxygenation in tumors after blood flow-modifying treatments. Some aspects of pO_2 measurement with the new luminescence-based method require further investigation.