Miracle-dz/UniFAR-FTUs huggingface dataset:
Attack Algorithm on Watermarking with Public Watermark Detection

This paper proposes an attack algorithm for digital image watermarking based on independent component analysis (ICA). The paper gives a briefly introduction about ICA algorithm, and expatiates on the attack algorithm which we proposed. The algorithm uses an auxiliary image to remove the watermark signal from the host image based on blind signal separation technology. The paper also does some experiment to attack the watermark algorithm proposed by I J. Cox. The results show that this attack algorithm not only removes most of the digital watermark information, but also has little effect on the image’s peak signal to noise ratio. The paper also discusses the attack algorithm for different watermark signals and different auxiliary images; the effect of this attack algorithm is feasible.
Manipulating the flow of design information to improve the programming of building design

The increasing complexity of modern buildings and the use of fast-track methods of procurement systems has meant the expeditious and successful completion of the design phase of a project has become ever more important. This paper describes a research methodology that can help plan the building design process. Design models, based on data flow diagrams, have been developed to map information flows during the design of a modern building. These models are analysed using Steward's design structure matrix, which allows ordering of the tasks to produce schedules or design plans based solely on information flowing between design tasks. Traditional ordering is based on experience but modern complex projects require a more rigorous approach. Design is an inherently iterative activity and design structure matrix analysis reveals how to order most efficiently interdependent tasks and use estimates of design information further to improve the scheduling of design tasks.
Fluid flow increases mineralized matrix deposition in three-dimensional perfusion culture of marrow stromal osteoblasts in a dose-dependent manner

The aim of the study is to investigate the effect of flow perfusion in three-dimensional titanium meshes seeded with rat marrow stromal cells (MSCs), on the ability of these cells to proliferate, differentiate towards the osteoblastic lineage, and generate mineralized extracellular matrix. Flow perfusion allows the continuous infusion of cell culture media throughout the porous network of the scaffold. It also permits the mechanical stimulation of the seeded cells by exposing them to shear forces.
54.4: Stereoscopic Depth Perception and Interocular Luminance Differences

We investigated the effects of interocular luminance differences on stereoscopic depth perception. The stimuli were stereoscopic square‐shaped targets created from disparity embedded in a dynamic random‐dot stereogram, which eliminated other cues to depth perception. The results revealed that stereoscopic depth perception survived significant interocular differences in luminance levels, even up to differences of 60%, provided that display luminance was approximately 0.63 cd/m2 or higher. In terms of design criteria, developers of stereo displays can use a fairly large range of interocular luminance levels and still induce good stereo depth perception.
Adaptive Information Brokerage in Wireless Sensor Networks with Virtual Rings

We study the problem of information brokerage in wireless sensor networks, where each sensor node can be an information producer or an information consumer, or both an information consumer and information producer. Some sensor nodes in the sensor networks can be selected out as the storage nodes, where the producers can store their data and the consumers can retrieve the data they are interested in. Which node/nodes should be chosen as the storage node/nodes is a challenging problem, because many factors such as the data generating rates of the producers and the query frequencies of the consumer should be considered. In this paper, we proposed a novel data storage and retrieval scheme named SRVR (Storage and Retrieval with Virtual Rings). SRVR chooses the nodes in an optimal ring around the center of the sensor network field as the storage nodes, and achieves data storage and retrieval based on the ring. We show by simulation that SRVR achieves more balanced traffic load on sensor nodes and prolongs the lifetime of the senor networks.
IgM antibody response to hepatitis C virus in end-stage renal disease

BACKGROUND: In HBV infection, as in other viral diseases, antibodies of the IgM class are associated with acute or ongoing infection. In contrast, the significance of this antibody in HCV infection is unclear and data regarding end-stage renal disease (ESRD) patients are lacking. METHODS: We tested sera from 78 ESRD patients (66 chronic dialysis patients, 12 renal allograft recipients) showing anti-HCV IgG antibody, for serum anti-HCV IgM core antibody. A specific solid-phase enzyme-linked immunoassay (HCV IgM EIA, Abbot) was used. In all patients serum HCV RNA was detected by RT-PCR technique, with primers from the 5' untranslated region of the viral genome. RESULTS: Prevalence of anti-HCV IgM core antibody was 22% (17/78). We observed association between prevalence of anti-HCV IgM core antibody and frequency of HCV RNA in the serum. Thus 15 of 45 (33%) sera containing HCV RNA also contained anti-HCV IgM, while two of 33 (6%) HCV RNA negative sera showed anti-HCV IgM core antibody (P = 0.01). There was a significant relationship between absorbance values of anti-HCV IgM core antibody and NS3 (P = 0.01), NS5 (P = 0.04), and core (P = 0.0001) reactivity in RIBA-2 and RIBA-3 assays. Optical density values of anti-HCV IgM were significantly associated with the number of reactive bands in RIBA-2 (P = 0.04) and RIBA-3 (P = 0.03) assays. CONCLUSIONS: 22% of ESRD patients with anti-HCV IgG activity showed anti-HCV IgM core antibody in the serum. Anti-HCV IgM activity seems to correlate positively with HCV viraemia in ESRD population. Testing for this antibody may be useful as a serological marker to indicate the presence of ongoing HCV infection.
College Students, Internet Use, and Protection from Online Identity Theft

The Internet has experienced phenomenal growth in higher education. In addition to many pedagogical benefits, there are potential risks to the student users, including identity theft. This study examined the extent to which selected online practices that could minimize the risk of financial identity theft are used by college students. Data were collected from over 7,000 students at one Midwestern university. Multivariate analysis was used to analyze students' ability to identify a secure Internet site, and to buy from a secure site. Gender, age, and race were among the significant variables. The results have implications for educating students about Internet related risks.
Trajectory control of robotic manipulators using chaotic neural networks

This paper investigates the direct adaptive control of nonlinear systems using chaotic neural networks. Since the structure of a chaotic neural network contains self and internal feedback loops in each layer, chaotic neural networks can show robust characteristics for controlling highly nonlinear dynamics such as in robotic manipulators. This paper presents modified chaotic neural networks with the backpropagation learning algorithm. To evaluate the performance of the proposed neural networks, we simulate the trajectory control of the three-axis PUMA robot with direct adaptive control strategies. The structure of the robot controller consists of the PD controller and chaotic neural networks controller in parallel. Simulation results showed the superior performance on convergence and final error compared with recurrent neural networks. Chaotic neural networks also reduce the number of nodes and computation time.
Preventing SQL Injection Attack Based on Machine Learning

In this paper, we present the most critical security risk of vulnerable web applications, SQL injection attack. We design a system based on machine learning for preventing SQL injection attack, which utilizes pattern classifiers to detect injection attacks and protect web applications. The system captures parameters of HTTP requests, and converts them into numeric attributes. Numeric attributes include the length of parameters and the number of keywords of parameters. Using these attributes, the system classifies the parameters by Bayesian classifier for judging whether parameters are injection patterns. If any SQL injection pattern is found, the TCP connection between the attacker and server will be terminated immediately. As a learning-based method, it is necessary to have a training phase before the detection and prevention. We also present a tool that generates massive injection and legitimate patterns automatically by randomization and combination. We evaluated this method with various different types of injection patterns, and evaluated the actual effect with a popular SQL injection attack tool named Sqlmap. The results of evaluation show that proposed system was able to prevent SQL injection attack with a simple mechanism and high positive detection rate.
The CREST Biorepository: A Tool for Molecular Epidemiology and Translational Studies on Malignant Mesothelioma, Lung Cancer, and Other Respiratory Tract Diseases

Objectives: The Cancer of RESpiratory Tract (CREST) biorepository was established to investigate biological mechanisms and to develop tools and strategies for primary and secondary prevention of respiratory tract cancer. The CREST biorepository is focused on pleural malignant mesothelioma, a rare and severe cancer linked to asbestos exposure whose incidence is particularly high in the Ligurian region. Methods: The CREST biorepository includes biological specimens from (a) patients with pleural malignant mesothelioma and lung cancer, (b) patients with nonneoplastic respiratory conditions, and (c) control subjects. Whole blood, plasma, serum, lymphocytes, pleural fluid, saliva, and biopsies are collected, and a questionnaire is administered. Collection, transportation, and storage are done according to international standards. Results: As of January 31, 2008, the overall number of subjects recruited was 1,590 (446 lung cancer, 209 pleural malignant mesothelioma, and 935 controls). The biorepository includes a total of 10,055 aliquots (4,741 serum; 3,082 plasma; 1,599 whole blood; 633 pleural fluid; and 561 lymphocytes) and 107 biopsies. Demographic, clinical, and epidemiologic information is collected for each subject and processed in a dedicated database. Conclusions: The CREST biorepository is a valuable tool for molecular epidemiology and translational studies. This structure relies on a network of contacts with local health districts that allows for an active search for patients. This is a particularly efficient approach, especially when the object of the study is a rare cancer type. The CREST experience suggests that the presence of limited resources can be overcome by the biorepository specialization, the high quality of the epidemiologic information, and the variety of samples. (Cancer Epidemiol Biomarkers Prev 2008;17(11):3013–19)
Check list of the Hungarian Salticidae with biogeographical notes

Check list of the Hungarian Salticidae with biogeographical notes. An updated check list of the Hungarian jumping spider fauna is presented. 70 ^species are recorded from Hungary so far. Four species are new to the Hungarian fauna: Hasarius adamoni, Neon valentidus, Sitticus caricis, Synageles subcingulatus. With 12 original
Design of predictive IIR filters via feedback extension of FIR forward predictors

FIR predictors for polynomial signals and sinusoids are easy to design because of the available closed-form design formulae. On the other hand, those FIR predictors have two major drawbacks: the passband gain peak is usually greater than +3 dB, and a long FIR structure is needed to attain high attenuation in the stopband. Both of these characteristics cause severe problems, particularly in embedded control applications when the predictor operates inside a closed control loop. In this paper, we present a novel feedback extension scheme for FIR forward predictors. This extension makes it possible to easily design IIR predictors with low passband ripple and high stopband attenuation. The new approach is illustrated with design examples.
Anatomical Functional Changes in a Patient Presenting a Complex Malformation of Cortical Development

The authors describe a case of right fronto‐parietal micropoligyria associated with small schizencephaly clefts and the presence of a frontal open‐lip schizencephaly with corpus callosum agenesis. A functional magnetic resonance imaging (fMRI) study was performed to evaluate the possible reorganization of cortical functions in a patient presentinga complex malformation pattern and to investigate which cortical areas were activated during left finger movements. An fMRI study was performed during the execution of a repetitive index finger‐to‐thumb opposition movement with the right hand and the left hand in 2 separate sessions. Movement of the right hand induced a normal motor activation pattern involving the contralateral left sensory‐motor cortex. Movement of the left hand produced significant activation of brain cortex. This fMRI study highlights the compensatory role of the ipsilateral cortical pathways in hand movements in the case of a complex brain malformation that involves the main motor activation areas.
Knowledge Discovery For CRM Improvement

The objective of this paper is to present a database marketing analysis through data and text mining tools. A case study of a Brazilian Power Energy distribution was developed indoors. The main idea is to transform the database information into strategic marketing knowledge. Thus a data warehouse sample was treated, reduced and clustered. Principal component analysis was used to reduce the original number of variables. The entire database was classified after creation by the decision trees and neural networks approach. In this work, text mining techniques were used to process customers’ claims in order to improve cluster results. The CRM group has developed a powerful tool to gather knowledge regarding the skills and habits of customers, thereby gaining their confidence and loyalty.
The Conference in Pedestrian and Evacuation Dynamics 2014 ( PED 2014 ) A dynamic pedestrian route choice model validated in a high density subway station

Route choice models for pedestrians need to deal with the complexity of dynamic scenarios. Rather than producing a fixed path once a pedestrian is created, the path choice of each pedestrian must be continuously updated with local information. We present a dynamic pedestrian route choice model based on continuous observations of perceived time estimations. In addition we validated our model with real world passenger flow data from a subway station next to Vienna’s largest football stadium. © 2014 The Authors. Published by Elsevier B.V. Peer-review under responsibility of PED2014.
Separation of Digital Audio Signals using Least-Mean-Square (LMS) Adaptive Algorithm

Adaptive filtering is one of the fundamental technologies in digital signal processing (DSP) in today’s communication systems and it has been employed in a wide range of applications such as adaptive noise cancellation, adaptive equalization, and echo cancellation.Signal separation remains a task that has called for attention in digital signal processing and different techniques have been employed in order to achieve efficient and accurateresult. Implementation of adaptive filtering can separate wanted and interference signals so as to improve performance of communication systems. In the light of this, this paper usesa least-mean-square (LMS) adaptive algorithm for separation of audio signals.The simulated results show that the designed LMS based adaptive filtering techniqueconverge faster than conventional LMS adaptive filter. DOI: http://dx.doi. org/10.11591/ijece.v4i4. 6219
Narrative inspiration: using case based problem solving for emergent story generation

We consider a system that can generate stories as a creative system. One approach to building such a system is to simulate and narrate the behaviour of believable characters in a virtual story world. A risk of this approach is that no interesting story emerges. In order to make the behaviour of the characters more interesting from a story perspective, we propose a system that can use example story pieces, written from a plot perspective by a human author, to inspire decisions for characters in an emerging story. On a more philosophical note, we discuss the story generation process in the light of a characterization of creative systems and show that considering an automated story generator as a creative system can help to reveal implicit design choices.
Results of flight tests of a two-channel radar system with real-time MTI processing

In synthetic aperture radar (SAR), only fixed targets are mapped on their correct positions. Moving targets are displaced in azimuthal direction due to the Doppler frequency shift caused by target velocities. The detection and correct positioning of moving targets within SAR images is a problem that can be solved by using multiple antennas and multi-channel receivers. For the detection of slow moving targets or moving targets that are backfolded into the clutter spectrum, a good suppression of fixed target echoes is necessary to gain subclutter visibility. Space-time adaptive processing (STAP) shows good performance in clutter suppression and is state of the art. However, the main disadvantage of conventional STAP techniques is the very high computational load. Therefore, performing STAP in real-time for the purpose of on-board subclutter moving target indication (MTI) requires special techniques. To estimate the true azimuthal positions of moving targets, phase differences between receiver channels can be evaluated e.g. by using the well-known monopulse method. Alternatively, STAP can be applied to solve this problem as well. STAP in real-time is discussed for two applications. First, STAP can be used for suppressing clutter and jammers. Moreover, clutter filter coefficients gained by STAP can be used for the purpose of correct positioning of moving targets within SAR images. Results of this real-time STAP technique as well as results of the moving target repositioning technique are presented: the clutter suppression quality and the moving target repositioning accuracy are demonstrated with real SAR data and moving targets recorded during a measurement campaign.
Bypass gástrico en Y de Roux para el tratamiento de pacientes con diabetes mellitus tipo II con IMC de 30 a 35 kg/m2

Background: The incidence of obesity and its most feared comorbidity, diabetes mellitus type 2, is increasing and there would not seem to be any medical treatment to help control these pandemics. However, there is a bariatric surgery technique, the Roux-en-Y Gastric Bypass (RYGB), which is safe and not only helps control excess weight, but produces encouraging results in the control and remission of diabetes. Methods: We present 15 selected patients with a BMI between 30 and 35 kg/mt 2
Effects of Reading Decodable Texts in Supplemental First-Grade Tutoring

At-risk 1st graders were randomly assigned to tutoring in more or less decodable texts, and instruction in the same phonics program. The more decodable group (n = 39) read storybooks that were consistent with the phonics program. The less decodable group (n = 40) read storybooks written without phonetic control. During the first 30 lessons, storybook decodability was 85% versus 11% for the 2 groups. Tutoring occurred 4 days per week for 25 weeks. A control group did not receive tutoring in phonics or story reading. Both tutored groups significantly surpassed the control on an array of decoding, word reading, passage reading, and comprehension measures. However, the more and less decodable text groups did not differ on any posttest.
Conflicting Perceptions of Viewdata and its Benefits

Viewdata was a British invention. The inventor, Sam Fedida, came to work at the Post Office research centre in 1970, on a “viewphone” project. Apart from providing television pictures of the caller and recipient involved in a telephone conversation, the viewphone was also to allow transmission of computer data. Such a piece of equipment would, it was hoped, increase telephone network use during off‐peak periods.
IP M ULTIMEDIA I N N EXT -G ENERATION M OBILE N ETWORKS : S ERVICES , P ROTOCOLS , AND T ECHNOLOGIES

In the past few years, multimedia applications have become very popular on the Internet, and a growing number of users have shown interest in this type of communications. IP multicasting has logically been considered to support such transmissions, mainly because its inherent nature is to efficiently minimize the bandwidth required to deliver multimedia data to a large set of targeted receivers. In the meantime, there has been a steady increase in the number of mobile wireless devices connected to the Internet. It has also clearly appeared that mobile Internet users will expect to have access to the services and applications available in traditional wired networks, and these services will surely include multimedia applications. Consequently, many efforts are being made to provide efficient mobility and multicasting support, and to bring the two together in the next generation of IP networks.
Estimating the coordinates of pillars and posts in the parking lots for intelligent parking assist system

This paper proposes an algorithm for the detection of pillars or posts in the video captured by a single camera implemented on the fore side of a room mirror in a car. The main purpose of this algorithm is to complement the weakness of current ultrasonic parking assist system, which does not well find the exact position of pillars or does not recognize narrow posts. The proposed algorithm is consisted of three steps: straight line detection, line tracking, and the estimation of 3D position of pillars. In the first step, the strong lines are found by the Hough transform. Second step is the combination of detection and tracking, and the third is the calculation of 3D position of the line by the analysis of trajectory of relative positions and the parameters of camera. Experiments on synthetic and real images show that the proposed method successfully locates and tracks the position of pillars, which helps the ultrasonic system to correctly locate the edges of pillars. It is believed that the proposed algorithm can also be employed as a basic element for vision based autonomous driving system.
Global synchronization of complex dynamical networks with network failures

Network failure refers to the case that parts or all of the connections in the network become disconnected. In this paper, the global synchronization of complex dynamical networks with network failures is studied based on the framework of switching system. For simplicity, assume that the network becomes totally unavailable when network failures happen and it takes a period of time to fix the network. In order to ensure the global synchronization of CDNs with network failures, the upper bounds of both the unavailability rate of the network and the frequency of network failures are obtained, respectively. Illustrated examples and the simulation results also show the effectiveness of the proposed result. Copyright © 2009 John Wiley & Sons, Ltd.
Agent server technology for next generation of Web applications

Web applications providing services customized for individual users have become common. Such applications require very high performance though the available development time is very short. Therefore, we need a very flexible and high performance platform for such customized Web applications. In this paper, we introduce an agent server technology based on an "agent-oriented programming model" for developing Web applications and show how the technology addresses issues in such Web application development.