ppxscal/embedding_network huggingface dataset:
Semi-supervised kernel density estimation for video annotation
Authors: Meng Wang, Xian-Sheng Hua, Tao Mei, Richang Hong, Guojun Qi, Yan Song, Li-Rong Dai
Venue: Computer Vision and Image Understanding (2009)

Insufficiency of labeled training data is a major obstacle for automatic video annotation. Semi-supervised learning is an effective approach to this problem by leveraging a large amount of unlabeled data. However, existing semi-supervised learning algorithms have not demonstrated promising results in large-scale video annotation due to several difficulties, such as large variation of video content and intractable computational cost. In this paper, we propose a novel semi-supervised learning algorithm named semi-supervised kernel density estimation (SSKDE) which is developed based on kernel density estimation (KDE) approach. While only labeled data are utilized in classical KDE, in SSKDE both labeled and unlabeled data are leveraged to estimate class conditional probability densities based on an extended form of KDE. It is a non-parametric method, and it thus naturally avoids the model assumption problem that exists in many parametric semi-supervised methods. Meanwhile, it can be implemented with an efficient iterative solution process. So, this method is appropriate for video annotation. Furthermore, motivated by existing adaptive KDE approach, we propose an improved algorithm named semi-supervised adaptive kernel density estimation (SSAKDE). It employs local adaptive kernels rather than a fixed kernel, such that broader kernels can be applied in the regions with low density. In this way, more accurate density estimates can be obtained. Extensive experiments have demonstrated the effectiveness of the proposed methods.
Fuzzy model validation using the local statistical approach
Authors: G. Rigatos, Q. Zhang
Venue: Fuzzy Sets and Systems (2009)

The local statistical approach for fault detection and isolation is applied to fuzzy models validation. The method detects the inconsistencies between a fuzzy rule base and the modelled system. It can also identify which are the faulty parameters of the fuzzy model. The Fisher information matrix explains the detectability of changes in the parameters of the fuzzy model. Simulation tests illustrate the method's credibility.
Study on Statistical Model of Reparable System Failure Data
Authors: Qingtian Han, Xiaoyan Gao
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

Either for hardware or software repairable system, reliability analysis is very important. However, failure data analysis for repairable system is not an easy task. The widely used AMSAA model (Power Law Process) is a kind of NHPP, corresponding to minimal repair. According to the variety of the reliability of repairable systems, accounting for the influences of the modification and repair, the repair effectiveness index is introduced, and a reliability growth model based on virtual age is developed. The model can be applied to various situations, such as perfect repair, imperfect repair, minimal repair, worse repair and worst repair. The failure rate function and the expression of the cumulate failure numbers are developed, and the MLE of the model parameters are also presented. Finally, the results of the analysis of the example show that the model is practical, and the parameters of the model have more exact engineering meaning.
Semantic relation extraction from socially-generated tags: a methodology for metadata generation
Authors: Miao Chen, Xiaozhong Liu, Jian Qin
Venue: Proceedings of the 2008 International Conference on Dublin Core and Metadata Applications (2008)

The growing predominance of social semantics in the form of tagging presents the metadata community with both opportunities and challenges as for leveraging this new form of information content representation and for retrieval. One key challenge is the absence of contextual information associated with these tags. This paper presents an experiment working with Flickr tags as an example of utilizing social semantics sources for enriching subject metadata. The procedure included four steps: 1) Collecting a sample of Flickr tags, 2) Calculating cooccurrences between tags through mutual information, 3) Tracing contextual information of tag pairs via Google search results, 4) Applying natural language processing and machine learning techniques to extract semantic relations between tags. The experiment helped us to build a context sentence collection from the Google search results, which was then processed by natural language processing and machine learning algorithms. This new approach achieved a reasonably good rate of accuracy in assigning semantic relations to tag pairs. This paper also explores the implications of this approach for using social semantics to enrich subject metadata.
Stripes: ...and Java web development is fun again (Pragmatic Programmers)
Authors: Frederic Daoud
Venue:  (2008)

As a Java developer, you want to leverage your knowledge and the wealth of Java libraries and tools. But when it comes to web development, many frameworks seem over-engineered and too complex. They have a steep learning curve, and it's just too difficult to get them to do exactly what you need because of their "closed-box" design.Stripes brings simplicity back to Java web development. You'll be up and running in minutes, and can go a long way with just a few simple concepts. You'll spend your time developing your application, not maintaining gobs of configuration. Because Stripes is very transparent, you will understand exactly what is going on from request to response.The popularity of Stripes keeps increasing because of its clean design and extensibility. With this complete tutorial and reference, you can master Stripes and take advantage of its productivity in web application development. You'll tailor the framework to your requirements, not the other way around!This book is packed with explanations and examples so that you learn practical problem-solving techniques. You'll be able to "wrap your head around the framework" and fully understand how Stripes works. When a client requests a feature, you'll answer "yes" with confidence because you're using a framework that lets you get the results that you need without getting in your way. Because of its open design, Stripes lets you easily integrate your favorite tools: tag libraries, AJAX frameworks, ORM solutions, dependency injectors, and more.
AS-Aware Relay Selection Using DHT Service Discovery in P2P Overlays
Authors: Tao Ma, Chonghong Zhang, Lichun Li, Yang Ji
Venue: Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 03 (2009)

Application relay is important for many delay-sensitive applications such as Voice over Internet Protocol (VoIP). It has been proved that relay selection would be optimized considering Autonomous Domains (ASes) relationship. We describe a new method for relay selection using service discovery in Distributed Hash Table(DHT) in which relay service advertisements are indexed and clustered according to AS. Advertisement and discovery mechanism is designed in detail. Evaluation and simulation analyze the performance of our method.
Competitive scheduling for OFDMA systems with guaranteed transmission rate
Authors: Wenhua Jiao, Linghe Cai, Meixia Tao
Venue: Computer Communications (2009)

Next-generation broadband wireless standards use orthogonal frequency division multiple access (OFDMA) as the preferred physical layer multiple access scheme, especially for the downlink. Due to limited resources available at the base station, multi-user resource allocation is crucial for delivering the applications with various quality-of-service (QoS) demands. We study the OFDMA resource allocation problem for the adaptive modulation and coding (AMC) mode of mobile WiMAX, in which resources in the form of allocation units (AU) are to be allocated and the channel knowledge of only some good sub-channels for the users is available to the scheduler. The objective is to maximize the sum-rate for all the users while maintaining guaranteed minimum and maximum traffic rates for certain users under a total transmission power constraint. Two novel factors, band selectivity factor (BSF) and competition factor (CF), are introduced. Based on the two factors, we propose a sub-optimal approach, rate-guaranteed competitive scheduling (RCS). It is suitable to be deployed in practical systems and exploits multi-user diversity with very low complexity. Simulation results show that RCS can achieve almost 75% of throughput of the optimal solution.
Secure 3D graphics for virtual machines
Authors: Christopher Smowton
Venue: Proceedings of the Second European Workshop on System Security (2009)

In this paper a new approach to API remoting for GPU virtualisation is described which aims to reduce the amount of trusted code involved in 3D rendering for guest VMs. To achieve this it uses a modular driver framework to export large proportions of complex 3D graphics drivers into the guest's domain. It further provides a secure graphical user interface to untrusted domains. The implementation of Xen3D is described, which remotes the Gallium graphics driver model, a system designed for the creation of highly modular graphics drivers, and serves as a proof of concept.
An embedded implementation of the Common Language Infrastructure
Authors: Joseph C. Libby, Kenneth B. Kent
Venue: Journal of Systems Architecture: the EUROMICRO Journal (2009)

The Common Language Infrastructure provides a unified instruction set which may be targeted by a variety of high level language compilers. This unified instruction set simplifies the construction of compilers and gives application designers the ability to choose the high level programming language that best suits the problem being solved. While the Common Language Infrastructure solves many problems related to design of applications and compilers, it is not without its own problems. The Common Language Infrastructure is based upon a virtual machine, much like the Java Virtual Machine. This requires that all instructions being executed on the Common Language Infrastructure be translated to native machine instructions before they can be executed on the host processor. This leads to degradation in performance. In order to overcome this problem it is proposed that an embedded processor capable of natively executing the CLI instruction set be developed. The objective of this work is the design and implementation, using VHDL and simulation, of an embedded processor capable of natively executing the CLI instruction set. This processor provides a platform easily targeted by software developers.
An Introduction to Frames
Authors: Jelena Kovacevic, Amina Chebira
Venue:  (2008)

An Introduction to Frames is an introduction to redundant signal representations called frames. These representations have recently emerged as yet another powerful tool in the signal processing toolbox, spurred by a host of recent applications requiring some level of redundancy. It asks the question: Why and where should one use frames? And answers emphatically: Anywhere where redundancy is a must. It then goes on to discuss a host of applications that richly illustrate that answer.An Introduction to Frames is geared primarily toward engineering students and those without extensive mathematical training. It is also intended to help researchers and practitioners decide whether frames are the right tool for their application.
Modeling, simulation and optimal control of the natural gas Jibissa plant
Authors: Cristian Patrascioiu, Mihaela Petre, Issa Rabahi
Venue: Proceedings of the 8th conference on Simulation, modelling and optimization (2008)

The paper represents an analyze of the natural gas treating plant Jibissa. The goal of the research is the optimal process control. The paper has 4 parts. The first part contains a structure analysis of the natural gas treating plant Jibissa. There have been identification the input and output variables of each subsystem. The second part is dedicated to modeling of the absorption subsystem. Because the authors have utilized the PRO II software program, the model of absorption subsystem links the unitary process model of the PRO II software program. There are identified the input-output model variables. The third part is dedicated to the simulation of treating process. This part is divided into process sensibility and the simulation of the controllable process. In the last part the authors have developed a control system adapted for the absorption treating plant Jibissa.
Shibboleth-based Access to and Usage of Grid Resources
Authors: R. Sinnott, J. Jiang, J. Watt, O. Ajayi
Venue: Proceedings of the 7th IEEE/ACM International Conference on Grid Computing (2006)

Security underpins Grids and e-Research. Without a robust, reliable and simple Grid security infrastructure combined with commonly accepted security practices, large portions of the research community and wider industry will not engage. The predominant way in which security is currently addressed in the Grid community is through Public Key Infrastructures (PKI) based upon X.509 certificates to support authentication. Whilst PKIs address user identity issues, authentication does not provide fine grained control over what users are allowed to do on remote resources (authorization). In this paper we outline how we have successfully combined Shibboleth and advanced authorization technologies to provide simplified (from the user perspective) but fine grained security for access to and usage of Grid resources. We demonstrate this approach through different security focused e-Science projects being conducted at the National e-Science Centre (NeSC) at the University of Glasgow. We believe that this model will be more widely applicable and encourage the further uptake of e-Science by non-IT specialists in the research communities.
Deformations of parameters of dynamic systems and their influence on computational processes
Authors: V. F. Zadorozhnyi
Venue: Cybernetics and Systems Analysis (2009)

The paper considers dynamic systems as mathematical models of physical phenomena and the influence of small perturbations of the initial conditions and their structure on the accuracy of calculation. It is shown that for computational processes to be correct, the phase portrait of the dynamic system should be studied first.
The Role of High-Tech TRIMA Software in B747-400 Fuel & Performance Efficiency
Authors: Arman Rezaee, M. Amin, J. Nazari
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

As the fuel price is the 2nd largest costs, in airline industry, it has become a real challenge recently to be decreased. While there are many factors contributing to this, Load & Balance plays an important role in the scene. TRIMA our recently-patented software can uniquely improve the Center of Gravity Management and increase the fuel efficiency sharply. It has been realized by means of Delphi in 18 months, with more than 180 thousand lines, and can be joined to Surface Thermometer and our recently made Cargo Handling Robots. A decrease, as great as 2 %, in overall fuel consumption was shown in our testing results over a year time.
Redundant wire insertion for yield improvement
Authors: Jin-Tai Yan, Zhi-Wei Chen
Venue: Proceedings of the 19th ACM Great Lakes symposium on VLSI (2009)

Based on the insertion of internal and external redundant wires into L-type and U-type wires, an efficient two-phase reliability-driven insertion algorithm is proposed to insert redundant wires to construct local cycles and protect the failure of any wire or via for yield improvement. For tested benchmarks, the experimental results show that our proposed insertion approach increases the extra wirelength of internal and external redundant wires by 18.3% and 6.3% to increase the reliability of 56.9% and 5.2% and improve the chip yield by 0.106 and 0.032 on the average in reasonable CPU time, respectively.
Changing Institutional Goals and Beliefs of Autonomous Agents
Authors: Guido Boella, Leendert Torre, Serena Villata
Venue: Proceedings of the 11th Pacific Rim International Conference on Multi-Agents: Intelligent Agents and Multi-Agent Systems (2008)

Agents are autonomous and thus their goals and beliefs cannot be changed by other agents or the environment, but from outside the agents we can change their institutional goals and beliefs, that is, the responsibilities and powers associated with their roles. In this paper, we introduce a model of institutional dynamics, where the dynamics of an institution is modeled by the creation or removal of responsibilities and powers. We illustrate the change of institutional goals and beliefs using a government scenario.
An Advanced Least-Significant-Bit Embedding Scheme for Steganographic Encoding
Authors: Yeuan-Kuen Lee, Graeme Bell, Shih-Yu Huang, Ran-Zan Wang, Shyong-Jian Shyu
Venue: Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology (2009)

The advantages of Least-Significant-Bit (LSB) steganographic data embedding are that it is simple to understand, easy to implement, and it results in stego-images that contain hidden data yet appear to be of high visual fidelity. However, it can be shown that under certain conditions, LSB embedding is not secure at all. The fatal drawback of LSB embedding is the existence of detectable artifacts in the form of pairs of values (PoVs). The goals of this paper are to present a theoretic analysis of PoVs and to propose an advanced LSB embedding scheme that possesses the advantages of LSB embedding suggested above, but which also provides an additional level of communication security. The proposed scheme breaks the regular pattern of PoVs in the histogram domain, increasing the difficulty of steganalysis and thereby raising the level of security. The experimental results show that both the Chi-square index and RS index are less than 0.1, i.e., the hidden message is undetectable by the well-known Chi-square and RS steganalysis attacks.
Using simulation early in the design of a fuel injector production line
Authors: Mustafa H. Tongarlak, Bruce Ankenman, Barry L. Nelson, Laurent Borne, Kyle Wolfe
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

Delphi Corporation decided to use simulation from concept development to installation of a new multimillion dollar fuel injector production line. In this paper we describe how simulation was employed in the concept development phase to assess whether production targets required for financial viability were feasible and to identify the critical features of the line on which to focus design-improvement efforts.
Motion controlled mobile 3D multiplayer gaming
Authors: Fadi Chehimi, Paul Coulton
Venue: Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology (2008)

Due to limitations in the user interface one of the oft cited most desirable features for mobile games is that they can be played using a single button. However, games using this type of control are extremely difficult to design and thus far it has been primarily utilized for casual games. As a number of mobile phones are starting to appear with accelerometers, mobile game developers have the opportunity to investigate new interaction mechanisms and as this paper we illustrate how accelerometers can greatly simplify the interaction for 3D graphical action games. In particular we present the design and user trials for a novel motion controlled 3D Bluetooth multiplayer space game. The results show that this experience is seen as fun and much more intuitive for gamers and non-gamers alike.
NetMedia: Synchronized Streaming of Multimedia Presentations in Distributed Environments
Authors: Yuqing Song, Markus Mielke, Aidong Zhang
Venue: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02 (1999)

In this paper, we present the design strategies of a client-server distributed multimedia presentation system that can flexibly support streaming continuous media data, in real-time, across Internet. In particular, we focus on the real-time buffer management and end-to-end data transmission. We present an effective and practical buffer management technique to address network delays and misordering of arriving data at the client side. We also develop a novel end-to-end transmission control protocol which can guarantee the availability and timeliness of data as demanded.
Counting eosinophils in bronchoalveolar lavage fluid images with fuzzy methodology
Authors: Mohammad H. Fazel Zarandi, Shaghayegh Norouzzadeh, Shahram Teimourian, Mostafa Moeen
Venue: Applied Soft Computing (2009)

This paper proposes a new fuzzy approach to count eosinophils, as a measure of inflammation, in bronchoalveolar lavage fluid images, provided by digital camera through microscope. We use fuzzy cluster analysis and fuzzy classification algorithm to determine the number of objects in an image. For this purpose, a fuzzy image processing procedure consisting of five main stages is presented. The first stage is pre-highlighting the objects in the images by using an image pre-processing method for enhancement, which is sharpening the image with the Laplaian high pass filter in order to have acceptable contrast in the image. The second stage is segmentation by clustering with fuzzy c-mean algorithm for portioning. In this stage the clustered data are the rough symbols of objects in the image containing noise. In the third step, first, a Gaussian low pass filter is used for noise reduction. Then, a contrast adoption in the image is done by modifying the membership functions in the image [H.R. Tizhoosh, G. Krell, B. Michaelis, Knowledge-based enhancement of megavoltage images in radiation therapy using a hybrid neuro-fuzzy system, Image and Vision Computing 19(July) (2000) 217-233]. Object recognition, the fourth stage, will be done by using fuzzy labeling for the objects in the image, using a fuzzy classification method. The number of labeled images shows the number of eosinophils in an image which is an index for diagnosing inflammation. The last stage is tuning parameters and verification of the system performance by using a feed forward Neural Network.