ppxscal/embedding_network huggingface dataset:
Supporting exact indexing of arbitrarily rotated shapes and periodic time series under Euclidean and warping distance measures
Authors: Eamonn Keogh, Li Wei, Xiaopeng Xi, Michail Vlachos, Sang-Hee Lee, Pavlos Protopapas
Venue: The VLDB Journal &mdash; The International Journal on Very Large Data Bases (2009)

Shape matching and indexing is important topic in its own right, and is a fundamental subroutine in most shape data mining algorithms. Given the ubiquity of shape, shape matching is an important problem with applications in domains as diverse as biometrics, industry, medicine, zoology and anthropology. The distance/similarity measure for used for shape matching must be invariant to many distortions, including scale, offset, noise, articulation, partial occlusion, etc. Most of these distortions are relatively easy to handle, either in the representation of the data or in the similarity measure used. However, rotation invariance is noted in the literature as being an especially difficult challenge. Current approaches typically try to achieve rotation invariance in the representation of the data, at the expense of discrimination ability, or in the distance measure, at the expense of efficiency. In this work, we show that we can take the slow but accurate approaches and dramatically speed them up. On real world problems our technique can take current approaches and make them four orders of magnitude faster without false dismissals. Moreover, our technique can be used with any of the dozens of existing shape representations and with all the most popular distance measures including Euclidean distance, dynamic time warping and Longest Common Subsequence. We further show that our indexing technique can be used to index star light curves, an important type of astronomical data, without modification.
A biologically inspired framework for multimedia service management in a ubiquitous environment
Authors: M. Shamim Hossain, A. Alamri, Abdulmotaleb El Saddik
Venue: Concurrency and Computation: Practice Experience (2009)

This paper addresses several key issues in distributed multimedia services management and composition such as scalability, heterogeneity, and quality of service (QoS). The proposed framework introduces biologically inspired multimedia service management through the composition of basic multimedia services such as streaming services and different transcoding services. The biologically inspired approach is used for collecting the QoS requirements from individual transcoding services in order to select the most suitable services for the desired composition process. A prototype of the proposed framework is designed, implemented, and evaluated in terms of scalability and load balancing. Copyright &copy; 2009 John Wiley & Sons, Ltd.
Decision Making based on Paraconsistent Annotated Logic
Authors: Fábio Romeu de Carvalho, Israel Brunstein, Jair M. Abe
Venue: Proceeding of the 2005 conference on Advances in Logic Based Intelligent Systems: Selected Papers of LAPTEC 2005 (2005)

This work shows a process of decision making based on a new kind of logic-Paraconsistent Annotated Logic (PAL). Choosing the factors that influence in the success or in the failure of an enterprise and applying the PAL techniques, the Para-analyser Algorithm and the Baricenter Analysis Method we obtain a sole result. Then we can decide if the enterprise is viable or not viable, or if the data are non-conclusive, with an established level of requirement.
A neural network approach to the selection of feed mix in the feed industry
Authors: Supachai Pathumnakul, Kullapapruk Piewthongngam, Arthit Apichottanakul
Venue: Computers and Electronics in Agriculture (2009)

Due to frequent changes of feed mix, the anticipation of pellet quality becomes a cumbersome task for a mill. This paper suggests that the artificial neural network can be used to predict the production rate and percentage of dust for a particular mill. Applying the suggested method, the potentially costly test production that otherwise required is prevented. Four models based on process parameters (i.e., feeder speed, die size, die thickness and press motor amperage), the proportions of nutrient contents (i.e., protein, fat, fibre, and ash) and the type and proportions of raw materials included in each formula (i.e., corn, rice bran, and soybean) were applied. The data used in this study are the actual data collected from a feed mill in Thailand. The assumption of the first model is that the process parameters and the proportions of nutrient contents in a formula affect the production efficiency and pellet quality. The assumption of the second model is that the process parameters and the proportions of nutrient contents of each main raw material included in a formula affect the production efficiency and pellet quality. The assumption of the third model is that the process parameters and the proportions of main raw materials included in the formula affect the production efficiency and pellet quality. The assumption underlying the fourth model is that only the proportions of main raw materials included in each formula affect the production efficiency and pellet quality. The results show that the process parameters and the percent inclusion of main raw materials (Model 3) give a more accurate prediction of pelleting rate. For the prediction of the dust level, Model 1 gives the least accurate results, while the results from the other models are not significantly different. The ability to predict the production rate and dust level enhances the mill's capability to incorporate the cost of production during the feed formulation process. Hence, the mill will be able to consider both production and raw material costs simultaneously when deciding on the most economical formula for producing feed.
A Quantitative Comparison of the Myocardial Fibre Orientation in the Rabbit as Determined by Histology and by Diffusion Tensor-MRI
Authors: Stephen H. Gilbert, Olivier Bernus, Arun V. Holden, Alan P. Benson
Venue: Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart (2009)

Early models of rabbit cardiac fibre structure where from fitting histological fibre orientation onto finite element models. More recently models have been produced using DT-MRI. In a quantitative comparison of these models, in a selected equatorial slice the fibre helix angle has a transmural change of -111.8±30.8º (mean linear fit ± S.D.) in the histological data [H-1]), -92.4±54.5º in DT-MRI dataset [DTI-1] and -86.3±30.7º in DT-MRI dataset [DTI-2]. Variation is large due to outlier data near the RV posterior insertion, and is less when selected anatomical transmural locations are quantified; the lateral LV has a monotonic transmural change of H-1:-87.5±3.7º (mean linear fit ± S.E of slope); DTI-1: -84.8±2.2º; DTI-2:-77.7±2.5º. There is greater variation in the transmural change of the transverse angle than the helix angle (DTI-1, 4.6±83.0º (mean linear fit ± S.D.), pooled data). Limitations in the datasets from both methodologies are discussed in the light of this analysis.
A Reusable Ontology for Fluents in OWL
Authors: Chris Welty, Richard Fikes
Venue: Proceeding of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006) (2006)

A critical problem for practical KR is dealing with relationships that change over time. This problem is compounded by representation languages such as OWL that are biased towards binary relations; even when the relationships that vary with time are binary, the time the relationship holds typically requires a third argument. We discuss the standard approach to this problem, and contrast it to a new alternative based on a four-dimensionalist (perdurantist) ontology, which allows us to use more of the expressive power of description logics. The technique is usable in other logics as well.
Priority-based rate control for service differentiation and congestion control in wireless multimedia sensor networks
Authors: Mohammad Hossein Yaghmaee, Donald A. Adjeroh
Venue: Computer Networks: The International Journal of Computer and Telecommunications Networking (2009)

In wireless multimedia sensor networks (WMSNs) a sensor node may have different types of sensor which gather different kinds of data. To support quality of service (QoS) requirements for multimedia applications having a reliable and fair transport protocol is necessary. One of the main objectives of the transport layer in WMSNs is congestion control. We observe that the information provided may have different levels of importance and argue that sensor networks should be willing to spend more resources in disseminating packets carrying more important information. Some applications of WMSNs may need to send real time traffic toward the sink node. This real time traffic requires low latency and high reliability so that immediate remedial and defensive actions can be taken when needed. Therefore, similar to wired networks, service differentiation in wireless sensor networks is also an important issue. We present a priority-based rate control mechanism for congestion control and service differentiation in WMSNs. We distinguish high priority real time traffic from low priority non-real time traffic, and service the input traffic based on its priority. Simulation results confirm the superior performance of the proposed model with respect to delays, delay variation and loss probability.
Guide to Computer Forensics and Investigations, 3rd edition
Authors: Bill Nelson, Amelia Phillips, Frank Enfinger, Christopher Steuart
Venue:  (2007)

Master the skills necessary to launch and complete a successful computer investigation with the updated edition of this highly successful book, Guide to Computer Forensics and Investigations. This text will teach readers how to conduct a high-tech investigation, from acquiring digital evidence to reporting its findings. Coverage includes how to set up a forensics lab, how to acquire the proper and necessary tools, and how to conduct the investigation and subsequent digital analysis. The comprehensive coverage and detailed know-how led to the book being listed as recommended reading by the FBI Forensics Communications the United States Certified reading room. The book features free downloads of the latest forensic software, so students become familiar with the tools of the trade.
Extremes in total ozone content over northern India
Authors: S. D. Patil, J. V. Revadekar
Venue: International Journal of Remote Sensing (2009)

Using daily station total ozone data from TOMS on Nimbus-7 (1979-1993) and Earth Probe (1997-2005) satellites of National Aeronautics and Space Administration (NASA)/Goddard Space Flight Center (GSFC) during the period 1979-2005, the characteristic features of extremes in the total ozone content and the frequency of the low/high ozone days have been carried out over the northern parts of India in the winter season. Stations located in the north of 20° N latitude regions of India have been chosen for the study. To determine whether the day is a low, high or normal ozone day, the statistical percentile thresholds are computed based on the daily data during winter months (January and February). It has been observed that the trends in the frequency of low ozone days are increasing and for the high ozone days are decreasing during 1979-1993. Similarly the trends in the highest total ozone reaching during January and February are decreasing. The recent period (1997-2005) shows opposite trends that are not statistically significant or stable during the period. Even the mean total ozone during January and February for the period 1979-1993 show the decreasing trends. Overall the trends in the total ozone extremes and the frequency of low/high ozone days are found to be decreasing over the northern parts of India during the winter season.
Masking Gateway for Enterprises
Authors: Sara Porat, Boaz Carmeli, Tamar Domany, Tal Drory, Ksenya Kveler, Alex Melament, Haim Nelken
Venue: Languages: From Formal to Natural: Essays Dedicated to Nissim Francez on the Occasion of His 65th Birthday (2009)

Today's business world revolves around the need to share data. On the other hand, the leakage of sensitive data is becoming one of our main security threats. Organizations are becoming more aware of the need to control the information that flows out of their boundaries and must more strictly monitor this flow in order to comply with government regulations. This paper presents an SOA-based solution called Masking Gateway for Enterprises (MAGEN), which allows the sharing of data while safeguarding sensitive business data. The major novelty lies in architecting a single system that handles a wide range of scenarios in a centralized and unified manner.
Working Overtime: Patterns of Smartphone and PC Usage in the Day of an Information Worker
Authors: Amy K. Karlson, Brian R. Meyers, Andy Jacobs, Paul Johns, Shaun K. Kane
Venue: Proceedings of the 7th International Conference on Pervasive Computing (2009)

Research has demonstrated that information workers often manage several different computing devices in an effort to balance convenience, mobility, input efficiency, and content readability throughout their day. The high portability of the mobile phone has made it an increasingly valuable member of this ecosystem of devices. To understand how future technologies might better support productivity tasks as people transition between devices, we examined the mobile phone and PC usage patterns of sixteen information workers across several weeks. Our data logs, together with follow-up interview feedback from four of the participants, confirm that the phone is highly leveraged for digital information needs beyond calls and SMS, but suggest that these users do not currently traverse the device boundary within a given task.
Internet for Senior Citizens in China: Survey and Proposal
Authors: Wei Zhou, Takami Yasuda, Shigeki Yokoi
Venue: Proceeding of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding (2006)

China has become the second largest Internet-using country in the world, but the percentage of use by those aged above 50 is extremely low, at less than 3.5%, and there are few studies aimed at senior citizens. In this paper we first investigate senior citizens' Internet anxiety and analyze the sub-types of Internet anxiety and other attributes. Next, we further explore seniors' willingness to use the Internet as well as difficulties and obstacles they often face. Then, to ease their anxieties and satisfy their needs, we propose a system called the Senior Internet Support & Learning Environment and demonstrate it. Finally we demonstrate the proposal's usability. The implications of the study are valuable: it is based on the conditions of China and highlights the differences faced in China in comparison to overseas studies. Moreover, the proposed environment can provide Internet developers with a better understanding of the situation of local senior citizens with respect to the Internet, as well as a framework for further implementing the development phase for narrowing the digital divide in China.
On-line cascading event tracking and avoidance decision support tool
Authors: James D. Mccalley
Venue:  (2008)

Cascading outages in power systems are costly events that power system operators and planners actively seek to avoid. Such events can quickly result in power outages for millions of customers. Although it is unreasonable to claim that blackouts can be completely prevented, we can nonetheless reduce the frequency and impact of such high consequence events. Power operators can take actions if they have the right information provided by tools for monitoring and managing the risk of cascading outages. Such tools are being developed in this research project by identifying contingencies that could initiate cascading outages and by determining operator actions to avoid the start of a cascade. A key to cascading outage defense is the level of grid operator situational awareness. Severe disturbances and complex unfolding of post-disturbance phenomena, including interdependent events, demand critical actions to be taken on the part of the operators, thus making operators dependent on decision support tools and automatic controls. In other industries (e.g., airline, nuclear, process control), control operators employ computational capabilities that help them predict system response and identify corrective actions. Power system operators should have a similar capability with online simulation tools. To create an online simulator to help operators identify the potential for and actions to avoid cascades, we developed a systematic way to identify power system initiating contingencies for operational use. The work extends the conventional contingency list by including a subset of high-order contingencies identified through topology processing. The contingencies are assessed via an online, mid-term simulator, designed to provide generalized, event-based, corrective control and decision support for operators with very high computational efficiency. Speed enhancement is obtained algorithmically by employing a multi-frontal linear solver within an implicit integration scheme. The contingency selection and simulation capabilities were illustrated on two systems: a test system with six generators and the IEEE RTS-96 with 33 generators. Comparisons with commercial grade simulators indicate the developed simulator is accurate and fast.
Generic interactive natural language interface to databases (GINLIDB)
Authors: Faraj A. El-Mouadib, Zakaria Suliman Zubi, Ahmed A. Almagrous, I. El-Fegh
Venue: Proceedings of the 10th WSEAS international conference on evolutionary computing (2009)

To override the complexity of SQL, and to facilitate the manipulation of data in databases for common people (not SQL professionals), many researches have turned out to use natural language instead of SQL. The idea of using natural language instead of SQL has prompted the development of new type of processing method called Natural Language Interface to Database systems (NLIDB). The NLIDB system is actually a branch of more comprehensive method called Natural Language Processing (NLP). In general, the main objective of NLP research is to create an easy and friendly environment to interact with computers in the sense that computer usage does not require any programming language skills to access the data; only natural language (i.e. English) is required. Many systems have been developed to use the concept of NLP in different varieties of domains, for example the system LUNAR [19] and the system LADDER [8]. One drawback of previous systems is that the grammar must be tailor-made for each given database. Another drawback is that many NLP systems cover only a small domain of the English language questions. In this paper we present the design and implementation of a natural language interface to a database system. The system is called Generic Interactive Natural Language Interface to Databases (GINLIDB). It is designed by the use of UML and developed using Visual Basic.NET-2005. Our system is generic in nature given the appropriate database and knowledge base. This feature makes our system distinguishable.
Proceedings of the 1st Workshop on Behaviour Modelling in Model-Driven Architecture
Venue: ACM International Conference Proceeding Series; Vol. 379 (2009)

BM-MDA is the first International Workshop on Behaviour Modelling in Model Driven Architecture organized in Enschede (the Netherlands) on the 23d of June 2009 in conjunction with the European Conference on Model Driven Architecture. The Model-driven Architecture (MDA) features the use of different kinds of models during the software development process and automatic transformations between them. One of the main ideas is the separation between models that are platform independent (PIMs) and models that are platform specific (PSM). From these models, some parts of the final code can be automatically generated. Ultimately, the goal is to generate the complete software fully automatically from these models. The purpose of the BM MDA workshop is to better understand what is needed to adequately model behaviour in MDA, and what is still lacking for universally modelling the behaviour of software in such a way that the code can automatically be generated from them.
MCSE Guide to Designing Security for Microsoft Windows Server 2003 Network, 1st edition
Authors: Byron Wright
Venue:  (2007)

Students will master the objectives for the new MCSE exam # 70-298.
Moreau---Yosida regularization of Lagrangian-dual functions for a class of convex optimization problems
Authors: Fanwen Meng
Venue: Journal of Global Optimization (2009)

In this paper, we consider the Lagrangian dual problem of a class of convex optimization problems, which originates from multi-stage stochastic convex nonlinear programs. We study the Moreau---Yosida regularization of the Lagrangian-dual function and prove that the regularized function ¿ is piecewise C 2, in addition to the known smoothness property. This property is then used to investigate the semismoothness of the gradient mapping of the regularized function. Finally, we show that the Clarke generalized Jacobian of the gradient mapping is BD-regular under some conditions.
The personalized recommendation with bundling strategy based on product consuming period
Authors: Shao-Shin Hung, Li-Hua Li, Rong-Wang Hsu, Pei-Jung Tsai
Venue: Proceedings of the international conference on Computational and information science 2009 (2009)

In an intensively competitive environment of e-commerce, how businesses maintain a good customer loyalty and master the consumption trend of customers have become the key factors for today's business survival. If personalized recommendation is implemented concurrently through bundling or tie-in sales strategies, businesses are likely to increase sales opportunities for their products. Nonetheless, most of the bundling or tie-in sales strategies are business-niche oriented in which the businesses design the product composition and they rarely take into account customer requirement and preferences. Therefore this approach has also failed to offer a prediction and recommendation for customer repurchasing or even to recommend precisely based on the product periodicity. In view of this, with the objective to effectively implement the bundling or tie-in sales strategy into the recommendation system, the study proposes the periodical product bundling -recommendation system (PPB-RS), thereby analyze customer's periodical needs, preferences, and product purchasing periodicity, while taking the product periodicity and preference as reference for product composition of bundling or tie-in sales strategy. The empirical experiment from the study proves the superior performance of PPB-RS.