Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-Modal Image Retrieval by Integrating Web Image Annotation, Concept Matching and Fuzzy Ranking Techniques

Traditional image retrieval aims at bridging visual images and human concepts through visual or textual descriptions. However, it is still a challenging issue to reduce the gap between the images and user's intentions. To this end, a considerable number of studies in the field of multimedia mining have been conducted on how to effectively meet the user's requirements for image retrieval over the past few decades. However, there remain some problems unsettled. For content-based image retrieval, it is not easy to identify the user's interest by using visual descriptions only. For textual-based image retrieval, the modern search engines incur the problems of high manual tagging cost and low automated tagging precision. Moreover, precise image retrieval also leads unsatisfied results because of the rough human concepts. To catch user's concept well, we propose a novel approach, namely Intelligent SeMantic Image explorER (iSMIER), which considers the requirements of usability, intelligence and effectiveness simultaneously. Based on the proposed web image annotation, concept matching and fuzzy ranking methods, the users can obtain the desired images from the image collection easily and effectively. Through empirical evaluations, our annotation models can deliver high accuracy for serving semantic image retrieval.
Supervisão Externa de Submarino Autónomo

Inserted into the activities of the Unity of Robotics and Intelligent Systems from INESC TEC, this project aims to develop an application capable of supervising, in real-time, the behavior of an autonomous underwater vehicle, without a physical link. While navigating autonomously, the vehicle uses known points as a reference to guide itself through its assigned track. Tracking systems are existing solutions that are capable of estimating the distance of such vehicles to these known points. This paper describes the development of several algorithms that combined can process the estimates given by tracking systems and generate products that allow the estimation of the position of the vehicle. Through the tracking data, received and processed in real time, the application estimates the speed the of the vehicle. The assigned track to the vehicle is known beforehand, so, using the speed estimate the application is able to do a projection of the position of the vehicle in its assined track. The track and progress of the vehicle are displayed in real time, along with some parameters that were found relevant, as for example, the estimated time of arrival. The correlation between the assigned track and the estimated positions for the vehicle’s lo- cation allows to dissipate some ambiguities that were left by the exclusive use of the tracking systems.
Analyzing the Order Factor of Query Matrix in Private Information Retrieval Protocol for Outsourced Databases

In this paper, we present analysis of non-concurrent model of fast single-database Private Informat ion Retrieval (PIR) scheme for maintaining data privacy with data confidentiality using encryption algorith m like AES for Outsourced Database Service (ODBS) Model. In this model encryption method maintains data confidentiality and a utility that help to create PIR reply which maintains data privacy. Single-database PIR schemes are generally unusable because of its expensiveness from co mputational point of view. Th is model suggests use of Graphics Processing Unit (GPU) co mmodity to process database. This model will help to achieve practical implementation of single-database PIR scheme wh ich uses encryption algorithm to maintain data confidentiality as secondary goal and it serves to create database reply to maintain data privacy as primary goal. Th is paper shows some real time results that proves need of concurrency in PIR algorithms. Our paper describes the use of lattice based single-database PIR protocol with GPU as a processing unit to achieve high speed-up and hence, the performance of the system.
Applications of Hamming Codes to Public Safety Mobile Communication Systems

In this paper, we introduce Hamming codes in modern public safety mobile communication systems such as digital mobile radio (DMR) and association of public safety commications officials-project-25 (APCO-25) sysems with performance alnalysis. Although Hamming codes are the oldest error correcting codes, they are still widely used in the field of mobile communication systems because of the excellent distance property, the good algebraic structure, and the ease of implementation.
Design of a rectifier for 2.45 GHz wireless power transmission

This paper presents a high-efficiency rectifying cir- cuit for wireless power transmission at 2.45 GHz. A filtering and matching network designed by quarter wavelength stubs was developed for suppressing the second and the third order harmonics of 2.45 GHz, 4.9 GHz and 7.35 GHz, respectively. The measured RF-to-DC conversion efficiency is 66.5 % for an input power level of 10 mW. Index Terms? Rectifying circuit, conversion efficiency, input power level, wireless power transmission.
Comparative Study of Routing Protocols in DelayTolerant Networks

In Mobile Adhoc Network (MANET) packets can be transferred only if link between the nodes are established. If link is not established then packets will be lost. So packet delivery ratio will be decreased in MANET. To overcome this problem, Delay Tolerant Network (DTN) is used. In DTN each node has some storage capacity. So if the links of nodes are not established then packets will be stored in the storage. DTN is able to provide communication services in unreachable & unfriendly environments. There is no end to end connectivity between source & destination in DTN. Delay tolerant network use store & carry forward the data from one node to other node In this paper we have introduced DTN and its routing protocols. We have also compared these protocols and mentioned future research work in DTN.
c060: Extended Inference with Lasso and Elastic-Net Regularized Cox and Generalized Linear Models

We have developed the R package c060 with the aim of improving R software func- tionality for high-dimensional risk prediction modeling, e.g., for prognostic modeling of survival data using high-throughput genomic data. Penalized regression models provide a statistically appealing way of building risk prediction models from high-dimensional data. The popular CRAN package glmnet implements an efficient algorithm for fitting penalized Cox and generalized linear models. However, in practical applications the data analysis will typically not stop at the point where the model has been fitted. One is for example often interested in the stability of selected features and in assessing the prediction performance of a model and we provide functions to deal with both of these tasks. Our R functions are computationally efficient and offer the possibility of speeding up computing time through parallel computing. Another feature which can drastically reduce computing time is an efficient interval-search algorithm, which we have implemented for selecting the optimal parameter combination for elastic net penalties. These functions have been useful in our daily work at the Biostatistics department (C060) of the German Cancer Research Center where prognostic modeling of patient survival data is of particular interest. Although we focus on a survival data application of penalized Cox models in this article, the functions in our R package are in general applicable to all types of regression models implemented in the glmnet package, with the exception of prediction error curves, which are specific to time-to-event data.
Search engines and the production of academic knowledge

• This article argues that search engines in general, and Google Scholar in particular, have become significant co-producers of academic knowledge. Knowledge is not simply conveyed to users, but is co-produced by search engines’ ranking systems and profiling systems, none of which are open to the rules of transparency, relevance and privacy in a manner known from library scholarship in the public domain. Inexperienced users tend to trust proprietary engines as neutral mediators of knowledge and are commonly ignorant of how meta-data enable engine operators to interpret collective profiles of groups of searchers. Theorizing search engines as nodal points in networks of distributed power, based on the notions of Manuel Castells, this article urges for an enriched form of information literacy to include a basic understanding of the economic, political and socio-cultural dimensions of search engines. Without a basic understanding of network architecture, the dynamics of network connections and their intersections, it is hard to grasp the social, legal, cultural and economic implications of search engines. •
Study of PN-code Capture Method with High Dynamic and Low SNR in Near Space

Considering the requirement of building near space tt&c system, it designed a parallel PN-code capture method based on FFT. First, it gave a clear derivation of the principle of parallel PN-code capture method, analyzed the capture performance in detail, and finally proved the feasibility of the method through simulation experiment. This method on the one hand weakens the influence of the doppler frequency, and reduces the capture dimension from 2 to 1. At the same time, it achieved the related operations, the relative value of local code and receiving yards was acquired. By this, some special requirements were satisfied and the circuit was simplified, capture speed was improved very much. On the whole, the method overcomes the poor performance under low SNR of traditional capture method, has a good prospect of engineering application.
Fuzzy Logic In Cloud Computing

In a world that sees new technological trends bloom and fade on almost a daily basis, one new trend promises more longevity. This trend is called mobile cloud computing, and it will change the way we use computer and the Internet. In this paper we introduce idea of improving accessibility of Cloud using if then concept of Fuzzy, we have tried to present a model for evaluating user’s satisfaction in cloudcomputing. Therefore, a conceptual model has been constructed considering attributes to evaluate cloud computing user’s satisfaction in an Internet Service Provider(ISP) companies in Iran. To avoid any ambiguities which are caused by linguistic methods, in this evaluation model wehave used Fuzzy Inference System (FIS). Index term-cloud computing,attributes, fuzzy inference system , user’s satisfaction.
Proposal of Document Classification with Word Sense Disambiguation

An important area of NLP is the study of Word Sense Disambiguation (WSD), which may assign a unique word sense to a word. There are different methods to implement WSD: one is the word sense based on the collocation of other words (Yarowsky, 1993), where nearby words provide strong consistent clues to the sense of a target word, conditional on relative distance, order and syntactic relationship; and the other is the word sense based on discourse (Gale et al, 1992), where the sense is consistent within any given document. Many experiments in recent years of both supervised (Leacock 1993) and unsupervised (Yarowsky, 1993) WSD algorithms have accomplished promising performance with a high precision rate.
Improved Speaker Adaptation Using Text Dependent Spectral Mappin

of speaker adaptation is to minmize the amount v Models to model the speech from the new speaker d in high recognition accuracy with a grammar of ce, we investigate a new probabdistic spectral edure to estimate the transformation. To evaluate rithm, recognition expenments are carried out on 1000-word resource management continuous ase using a grammar with perplexity 60. The that significant unprovement in recognition has been achieved compared to our previous adaptation algorithm. The average word error rate of speakeradapted models using 2 minutes of training speech is 11.3% compared to 7.1% for speaker-dependent models using 20-28
Decorator Pattern in Web Application

Design patterns refer to reusable program solutions that aim to solve similar design problem during development process. The good practise of using patterns is encouraged and efforts have to be taken to knowledge on design patterns. We use a decorator pattern to improving a web application. Web application is implemented using HTML language, ASP.NET, and C#.
Multiple page size support in the Linux kernel

The Linux kernel currently supports a single user space page size, usually the minimum dictated by the architecture. This paper describes the ongoing modifications to the Linux kernel to allow applications to vary the size of pages used to map their address spaces and to reap the performance benefits associated with the use of large pages. The results from our implementation of multiple page size support in the Linux kernel are very encouraging. Namely, we find that the performance improvement of applications written in various modern programming languages range from 10% to over 35%. The observed performance improvements are consistent with those reported by other researchers. Considering that memory latencies continue to grow and represent a barrier for achieving scalable performance on faster processors, we argue that multiple page size support is a necessary and important addition to the OS kernel and the Linux kernel in particular.
Pedagogic Corpora for Content and Language Integrated Learning. Insights from the BACKBONE Project

BACKBONE is a European LLP/Languages project (1) (Jan 2009 - Feb 2011), whose overall objective is to provide foreign language teachers in CLIL settings with innovative language learning solutions. To achieve this goal, pedagogic corpora of spoken interviews are combined with corpus-related e-learning activities in blended learning scenarios. The seven BACKBONE corpora contain video interviews in English, German, French, Polish, Spanish and Turkish as well as in European manifestations of English as a Lingua Franca (ELF). The interviews have been transcribed and pedagogically annotated with regard to thematic and linguistic features; additional enrichment resources include ready-made language learning modules as well as suggestions and instructions for exploratory and communicative learning activities. The BACKBONE search interface provides free online access to the interviews and enrichment resources. It supports pedagogically motivated searches using thematic and linguistic categories as well as lexical searches with words and phrases. 24 CLIL-related pilot courses have been implemented and evaluated in secondary, higher and vocational education; they demonstrate how BACKBONE search results can be used to facilitate individual and collaborative learning in Moodle-based blended learning activities. A suite of pedagogic corpus tools covering transcription, annotation, management of enrichment resources and corpus search is available under a GNU General Public License. The customization and flexibility these tools offer enables teachers to cater to diverse language learning and teaching needs in CLIL contexts or in connection with lesser taught languages and varieties. To facilitate exploitation, the BACKBONE website serves as a ‘one-stop-shop’ for an ensemble of teacher support facilities including web support for the development and hosting of “guest” corpora and courses.
Is an exaggerated blood pressure response to exercise in hypertensive patients a benign phenomenon or a dangerous alarm?

Background A hypertensive response to exercise is associated with high cardiovascular risk, whereas scarce data are available about its relation to surrogates of subclinical atherosclerosis. Endothelial dysfunction and intima-media thickness (IMT) have been demonstrated in atherosclerotic patients. Objective The purpose of this study was to investigate the relationships between a hypertensive response to exercise and IMT as well as endothelial function as surrogates of subclinical atherosclerosis. Methods A total of 52 untreated males with stage I essential hypertension and a negative treadmill exercise test for exercise-induced myocardial ischemia were divided into two groups: group I which included 21 patients with a hypertensive response to exercise (peak exercise systolic blood pressure ≥210 mm Hg) and group II which included 31 individual with normal blood pressure response. Flow-mediated dilatation (FMD) and dilatation ratio (as markers of endothelial function) and measurements of carotid IMT were done for both groups. Results Group I patients showed significant reduction in FMD (5.61 ± 5.25 vs 10.52 ± 4.78, p = 0.026) and dilatation ratio (50.28 ± 26.03 vs 94.8 ± 40.06, p < 0.001) compared to group II. Moreover, Group I patients also showed significant increase in IMT compared to group II (0.102 ± 0.033 vs 0.089 ± 0.03, p = 0.047). Conclusion Hypertensive response to exercise in patients with untreated stage I essential hypertension is associated with endothelial dysfunction and increased carotid IMT. It seems that this phenomenon is not a benign one but rather a dangerous alarm.
A power-managed method for mobile devices

This study develops a power-managed method for mobile devices, which employs mobile power banks con- structed on an Android-based power control system. Combined with self-developed power bank monitoring and control software, this study developed a multi-functional battery charging control system. The design also considers and inte- grates external electronic devices and mechanisms, and provides additional functions aside from phone charging to satisfy the needs of female users. Consequently, the system reduces the weight of bags when travelling or going out and simulta- neously increases user convenience. Few patents associated with power manage method are discussed in this review.
Transition of Phonological Rule Application in Learner Speech

In the development of learner speech, we expect both the decreasing interference of native phonology and the increasing acquisition of target phonology. We examine how these two types of phonological interaction occur as the learner proficiency increases. For this study, we collected 2,804 word data of L2 English in isolation form and embedded in sentences. These data were elicited from 92 Korean adult learners of American English. Our results indicate that the learner speech may suppress the L1 rule application in significantly earlier stage of language learning than the stage when an L2 rule applies. Furthermore, the L1 rule in learner speech is different from the L1 rule in native speech.
Uma avaliação empírica de métricas para programas orientados a objeto no contexto de teste de software

The increasing complexity of software products, used in most areas of the human activity, has created many challenges to the development. In order to be able to deal with this complexity and assure the quality of software production, the object-oriented paradigm was created, and it is currently divulged and used, in academic and industrial environments. With the purpose of monitoring efficiently the development of object-oriented systems, software metrics has been proposed these last years, as a way of supporting the search for a high quality software. The testing of software is an important activity, which can consume most cases 40% of the development efforts, and which can be more effective if conducted in a more organised way, following techniques and testing criteria and also if supported by the information provided by metrics. • The correlation between software metrics and the development aspects, as the difficulty of testing, can be determined many times, only through empirical studies. This work presents the results of two experiments, accomplished in the context described above. The obtained results indicate a relation between the metric set selected for the experiment and the difficulty of testing. The difficulty of testing, in this case, is characterized as the difficulty to reveal faults through test cases. The metrics were collected from UML (Unified Modeling Language) artifacts and from the source code of the system developed elaborated for the experiments. The obtained empirical results indicate the software characteristics, given by metrics, which influence the difficulty of testing. The obtained knowledge can by used, for example, for remodeling software and for generating more efficient test cases. Therefore, we can reduce the efforts spent on testing.
Application of semi-Markov process and CTMC to evaluation of UPS system availability

In this paper, the authors develop analytical models for the study of the dependability characteristics of systems with uninterruptible power supply (UPS) units. Dependability of systems with UPS cannot be modeled exactly using the prevalent Markov modeling approaches. They develop and solve two approximations to this problem. The first model assumes that battery units will be fully recharged before the next failure occurs. With this assumption, a semi-Markov process (SMP) model is developed and solved to provide formulae to compute availability measures (transient and steady-state), reliability and mean time to failure (MTTF). Another approximation based only on Markov modeling theory is then proposed. The authors show how all the measures can also be computed using the continuous-time Markov chain (CTMC) approach, and also compare some of its results with the equations developed. In practical applications, the closed-form formulae for A(t), A and MTTF are very useful in combination with other system equations in a reliability block diagram or fault-tree. On the other hand, the Erlang approximation is easy to use when one has Markov chain solvers (e.g., the SPNP or SHARPE modeling packages) available for computing dependability measures.
Proceedings of the 2nd ACM workshop on Social web search and mining

It is our great pleasure to welcome you to the 2nd ACM Workshop on Social Web Search & Mining -- SWSM'09. This year's workshop continues its tradition of being the premier forum for presentation of research results and experience reports on leading edge issues of searching and mining of the social web and social networks. The scope of the workshop includes, but not limited to web mining, social network analysis, semantic web, information retrieval, and natural language processing. Moreover, SWSM'09 plans to provide with delegates theoretical analyses as well as practical system perspectives on issues related to web search and mining. The call for papers attracted 17 submissions from Asia, Europe, and the United States. The program committee accepted 8 full papers and 1 short paper that cover a variety of topics, including social network modeling and analysis, social influence analysis, influence analysis, and semantic social network. In addition, the program a keynote speech by Dr. Ravi Kumar from Yahoo! Research. We hope that these proceedings will serve as a valuable reference to further the research in social network search and mining.
Representation and coding of images using wavelet transform

Image coding is one of the most important applications of wavelets. There has been increasing number of reports each year since the late 1980's on the design of new wavelet coders and variations to existing ones. In this paper several wavelet-based coders are compared in their performance with still images. The aim of this work is to choose a suitable wavelet coder for intraframe coding that is needed for video compression. Two image quality metrics were used in the comparative study: the compression ratio and the conventional distortion measure, peak signal-to-noise ratio. Also, the effects of different wavelet filters are assessed. The work also aims to establish a suitable computer measure to assess the reconstructed image.