Miracle-dz/UniFAR-FTUs huggingface dataset:
Survey of Recent Reversible Data Hiding Schemes.

A B S T R A C T Steganography is the science that involves communicating secret data in an appropriate multimedia carrier, e.g., image, audio, and video files. It comes under the assumption that if the feature is visible, the point of attack is evident, thus the goal here is always to conceal the very existence of the embedded data. Watermarking is one of the promising solutions for tamper detection and protection of digital content. However, watermarking can cause damage to the sensitive information present in the cover work. Therefore, at the receiving end, the exact recovery of cover work may not be possible. Additionally, there exist certain applications that may not tolerate even small distortions in cover work prior to the downstream processing. In such applications, reversible data hiding instead of conventional watermarking is employed. Reversible data hiding of digital content allows full extraction of the secret data along with the complete restoration of the cover work. Due to the rapid evolution of reversible data hiding techniques, a latest review of recent research in this field is highly desirable.
Industrial Visual System By A Symmetry Operator

This paper describes a visual system for the purpose of pattern recognition in a group of objects, each of which is projected respectively as a circular image in a 2-dimensional picture observed through a TV camera. The recognition is based on the following. The image of an object is symmetric with respect to two lines, vertical and horizontal. The location of the object in a scene is determined by their intersecting point. The primary concern is detection of every line of symmetry. A symmetry operator and a metric. which evaluates the results of applying the operator to a binary picture are introduced for this purpose. The symmetry operator has the following advantages: 1) it simplifies the recognition algorithm; 2) it is shown that, in the experiments, it enables to get a correct re-cognition in spite of the presence of noise; 3) the function can be performed easily by a hardware system because of a local operator. An automatic handling system of the models of steel coils has been developed for an application of the visual system. The paper also presents the recognition process of steel-coil models and describes the mathematical model of the optical system for the coordinate transformation.
Changes of Growth and Nutrient-relating Enzymatic Activities of Sargassum thunbergii When Exposed to Different Nutrient Conditions

Macroalgae have been suggested to play an important role in seawater decontamination. It is reported that Sargassum thunbergii has been one of the dominant macroalgal species of the intertidal zone along the coastal Shandong Province. However, serious degradation has occurred because of the pollution and the deterioration of seawater quality. The purpose of the present study was to study the growth changes of S. thunbergii when exposed to different nutrient conditions, and the possible effective mechanism basing on nutrient-relating enzymatic activity was studied. Result showed that: (1) The relative growth rate (RGR) of S. thunbergii is varied greatly when exposed to different nutrient conditions, and its fresh weight in the treated group was significantly inhibited as compared to that in the control. It seemed that high concentration of phosphate had more obviously inhibitory effect on growth of S. thunbergii as compared to the effect of nitrate changes . Moreover, the concentrations of phosphate and nitrate fluctuated with time and concentration increasing, inferring the mechanism of absorption and release might co-existe in S. thunbergii . (2) The activity of Nitrate reductase (NR) increased with the increment of the environmental nitrate concentration, but relatively higher N:P ration (32:1) significantly inhibited its activity. Alkaline Phosphatase (AKP) increased with the increment of the environmental phosphate concentration in groups of 0 and 2. 5µmol/L, but decreased adversely with concentration increment in groups of 16µmol/L and 80µmol/L. Results in the present study demonstrated a significant effect of environmental nutrient conditions on growth of S. thunbergiiis and a co-existent mechanism of absorption and release of nitrate and phosphate was suggested in S. thunbergiiis.
The Musical Significance of Clarinetists' Ancillary Gestures: An Exploration of the Field

This article presents results from an ongoing exploratory analysis of ancillary gestures of several advanced clarinetists playing standard concert solo repertoire. We build upon our previous work involving the analysis of clarinetists' gestures by focusing on the timing of various performance manners, the relation that ancillary gestures have to the musical score, the different styles of expressive movements among performers, and the perception of these movements by the audience.
Detection of Complex Event Patterns over Interval-based Events

The point-based complex event processing handled an instantaneous event by using one time stamp in each event. However, the activity period of the event plays the important role in the field which is the same as the finance, multimedia, medicine, and meteorology. The point-based event is insufficient for expressing the complex temporal relationship in this field. In the application field of the real-time world, the event has the period. The events more than two kinds can be temporally overlapped. In addition, one event can include the other event. The relation about the events of kind of these can not be successive like the point-based event. This thesis designs and implements the method detecting the patterns of the complex event by using the interval-based events. The interval-based events can express the overlapping relation between events. Furthermore, it can include the others. By using the end point of beginning and end point of the termination, the operator of interval-based events shows the interval-based events. It expresses the sequence of the interval-based events and can detect the complex event patterns. This thesis proposes the algorithm using the active instance stack in order to raise efficiency of detection of the complex event patterns. When comprising the event sequence, this thesis applies the window push down technique in order to reduce the number of intermediate results. It raises the utility factor of the running time and memory.
Decision Making Mapping of Online Video Advertising

Online video advertising is emerging as an important advertising media which has wide coverage and is accessed by customers spread all over the globe. This paper examines the effectiveness of online video advertising in terms of positioning and its impact related parameters. The paper discusses the findings of a study designed to find the effectiveness of online video advertising and establish the relationship between online video advertisement and its placement in the online advertising context. Clinical laboratory test was conducted on 120 internet users to study the topic. The research is intended to provide a directional snapshot of media trends and inform additional research initiatives focused on the online video advertising industry. Decision making mapping of online video advertising is proposed for maximizing online advertising effectiveness and optimising the user experience with online video advertising.
Uso de ácido valproico en unidades de psiquiatría de estancia prolongada

Objetivo: El acido valproico es utilizado frecuentemente en psiquiatria para tratar la esquizofrenia y otras afecciones fuera de indicacion de ficha tecnica (“off-label”). A pesar de ello, su efectividad no ha sido suficientemente demostrada y su uso no esta exento de efectos adversos. El presente estudio tiene como objetivo principal conocer la frecuencia de uso de acido valproico tanto en las indicaciones recogidas en ficha tecnica, como su utilizacion “off-label” en pacientes psiquiatricos. Metodo: Se diseno un estudio transversal el 7 de julio de 2014 con una muestra de 167 pacientes residentes en un centro psiquiatrico. Se analizaron las siguientes variables: datos demograficos, tratamiento con acido valproico y pauta posologica, tratamiento farmacologico asociado, monitorizacion de los parametros de seguridad, interacciones y concentraciones de acido valproico. Resultados: El acido valproico se prescribio en 1 de cada 3 pacientes del centro. Se utilizo segun las indicaciones aprobadas en ficha tecnica en 8 (15%) de los 53 pacientes analizados: 5 (9%) de ellos con trastorno bipolar y 3 (6%) diagnosticados de epilepsia. Otros 5 pacientes (9%) se incluyeron en la indicacion extendida de trastorno esquizoafectivo. El 76% (40) de los pacientes evaluados tenian prescrito acido valproico fuera de indicacion. La media de dosis de acido valproico fue de 1,26 Dosis Diarias Definidas/paciente/dia. Se encontro una media de 6 farmacos asociados al acido valproico. El 18% de los pacientes presento trombocitopenia. Conclusiones: El acido valproico se utiliza frecuentemente en pacientes psiquiatricos fuera de indicacion. Deberia valorarse el beneficio-riesgo en esta poblacion.
Facial expression recognition of person without language ability based on the optical flow histogram

A method to extract the facial actions and recognize the expressions of a person without language is presented. In this proposed method, a difference image of two successive frames of an image sequence, and a corresponding I component image in YIQ image representation were combined to extract the facial action and detect the facial region. The optical flows of the corresponding image sequence, in which the facial actions appeared, were computed. Based on the optical flow projection histogram on X and Y coordinate axes in the mouth region and the eye region, the motion features of the facial expressions were extracted to compose the associate memory model of the facial expressions. By utilizing this model, the facial expressions were recognized.
Dynamic Routing Algorithm Based on HIP Multicast Model

A HIP multicast mode; based dynamic multicast routing algorithm (HIPDMR) was brought out and network model was established to describe and simplify problem to be researched. HIPDMR used Bellman-Ford as routing search algorithm, which can determine dynamic multicast routing with minimum hop number and overhead while meet constraints of bandwidth, delay, jitter and packet loss rate. Simulation experiments result show that HIPDMR can build dynamic multicast routing under constraints of multiple QoS comparing with algorithms that not considering QoS assuming network node output link capacity be equal
Direct torque control of permanent magnet synchronous motors with non-sinusoidal back-EMF

Direct Torque Control of Permanent Magnet Synchronous Motors With Non-Sinusoidal Back-EMF. (May 2008) Salih Baris Ozturk, B.S., Istanbul Technical University, Istanbul, Turkey; M.S., Texas A&M University, College Station Chair of Advisory Committee: Dr. Hamid A. Toliyat This work presents the direct torque control (DTC) techniques, implemented in fourand six-switch inverter, for brushless dc (BLDC) motors with non-sinusoidal backEMF using two and three-phase conduction modes. First of all, the classical direct torque control of permanent magnet synchronous motor (PMSM) with sinusoidal back-EMF is discussed in detail. Secondly, the proposed two-phase conduction mode for DTC of BLDC motors is introduced in the constant torque region. In this control scheme, only two phases conduct at any instant of time using a six-switch inverter. By properly selecting the inverter voltage space vectors of the two-phase conduction mode from a simple look-up table the desired quasi-square wave current is obtained. Therefore, it is possible to achieve DTC of a BLDC motor drive with faster torque response while the stator flux linkage amplitude is deliberately kept almost constant by ignoring the flux control in the constant torque region. Third, the avarege current controlled boost power factor correction (PFC) method is applied to the previously discussed proposed DTC of BLDC motor drive in the constant torque region. The test results verify that the proposed PFC for DTC of BLDC
Electronic Voting Algorithm and Its Algebraic Formation

Vote security, secrecy and confidence are necessary in any electoral process. Electronic voting is one of the most valuable exploratory areas for the pursuance of a secure eGovernment transaction environment. This system is increasingly used in electoral processes ranging from specialized stand alone machines, up to complete paperless and remote voting system. Therefore this system has to follows a very complex set of security protocols. This paper analysis several algorithms to implement an electronic voting systems and discusses with a view to voter anonymity and proper protection from manipulations.
Visual Attention Distribution and its Application in the Gesture Interaction System

Aiming at making the simulation of human visual attention behavior more truly in computer, starting from analyzing operator’s cognitive model, a gesture tracking algorithm is put forward based on the distribution model of visual attention. To begin with, analyzing the change of the operator human eye sight, a visual attention model was built. Secondly, the basic characteristics of visual attention model were studied. Finally, the three Gauss formula is used to describe the model. Experimental results show that the algorithm can effectively improve the speed and tracking accuracy of gesture interaction.
Software Bug Classification and Assignment

As software development has become a crucial part of any organization, so as to minimize the risk of faults in software, user have to file these bug information repositories. User reports bugs to repositories. Users of these repositories are usually non-technical and cannot assign correct class to these bugs. Triaging of bugs, to developer, to fix them is a tedious and time consuming task. Developers are usually expert in particular areas. For example, few developers are expert in GUI and others are in java functionality. Assigning a particular bug to relevant developer could save time and would help to maintain the interest level of developers by assigning bugs according to their interest. However, assigning right bug to right developer is quite difficult for tri-ager without knowing the actual class, the bug belongs to.
Analyzing Real-valued Learning Classifier Systems: Validating Real-valued Representations and its Parameter Sensitivity for XCS

A Learning Classifier System (LCS) is state-action rule-based system including the ideas of Reinforcment Learning and Genetic Algorithms (GAs). For the first step towards extending LCS’s aplicability to serveral types of input states, we conduct a validation of real-valued XCS (XCSR), a real-valued extended architecture of XCS, which is a mainstream architecture in LCS. Our validation of XCSR is done from two points of view: (1) a sensitivity of real-valued XCS specific parameters on performance and (2) the design of classifier representation with classifier operators, which is analyzed by proposing another classifier representation named LU-representaion to be compared with original XCSR representation (i.e., CS-representation.) We did comprehensive experiments by applying a 6-dimensional real-valued multiplexor problem to both representation. This has revealed the following implications: (1) there are critical threshold on covering operation parameter (s0), which must be considered in setting parameters to avoid serious decreases in performance; and (2) the LU-representaion has an advantage in smaller classifier population size within the same performance level over the CS-representation, which reveals the superiority of alternative classifier representation for real-valued XCS.
Grid Computing: Operations Research Methods for Resource Management and Scheduling

The grid computing paradigm is replacing localized computer clusters or the traditional "supercomputer" model for research and industry enterprises requiring increasingly large amounts of processing power and storage. Computational grids are distributed systems integrating geographically- separate resources into a single, massively parallel network well-suited to complex processing tasks. This article introduces grid computing, lays out a taxonomy for comparing and analyzing the existing grid resource management systems, discusses the optimization and coordination of computational grids, and presents quantitative methods for managing grid resources. Local scheduling, external scheduling, and coordination of grid endpoints are highlighted as methods of resource management. Techniques and ongoing research projects are also discussed for improving the economy of resource bundles in flat, hierarchal, and cell structure grids.
Med Zipf mot framtiden - en integrerad lexikonresurs för svensk språkteknologi

Digital resources resulting from research projects will often languish once the project ends. Lack of funding for resource maintenance, resource non-interoperability and closed-content license formats contribute to this. At the Swedish Language Bank, University of Gothenburg, we are now integrating a number of existing free lexical resources into a new open-content resource for Swedish language technology applications. We ensure interoperability among resources by using the standardized SALDO lexicon sense and lemgram identifiers as pivot. On top of the integrated resource, we are defining a Swedish framenet, reusing a considerable amount of linguistic knowledge already encoded in the existing resources.2
Breast Cancer, Version 3.2013

These NCCN Guidelines Insights highlight the important updates specific to the management of HER2-positive metastatic breast cancer in the 2013 version of the NCCN Clinical Practice Guidelines in Oncology for Breast Cancer. These include new first-line and subsequent therapy options for patients with HER2-positive metastatic breast cancer.
The Constitution of Domains in Science: A Linguistic Approach

The logical empiricist assumption that scientific thought could be adequately represented by a logical system had the advantage of offering the possibility of precision in the analysis of meaning relationships and patterns of reasoning. More recent studies of science in terms of such concepts as that of "domain", while leading to valuable work, depend on the semantic intuitions of the researcher in the specification of domain boundaries and the relations between methods, concepts, and data within them. This paper suggests the relevance to such issues of an analysis of the "syntax of science" based not on logic but on linguistic structures characteristic of scientific texts, by sketching the principles of such an analysis and the results of its application to the case of immunology.
DESIGN AN AR APPLICATION IN FINDING PREFERRED DINING PLACE WITH SOCIAL NETWORK CAPABILITY (ARAFEPS)

Location Based Service (LBS) application help people in finding places or point of interest. However, spatial information in LBS is presented as a map in a small mobile device screen which makes the user difficult to understand and to find the location they need. It is possible that user might have disorientation in finding the place although they are presented with correct map. ARAFEPs (Augmented Reality Assistant to Finding Preferred Dining Place) is an Augmented Reality application to support its user to find the nearest and preferred dining place such as restaurant, fast food and food court. It is developed using Layar AR as platform. It presents the user with spatial information in a way that user could aware and understand the places surround them. Additional and relevant information that are presented in AR aids users to decide which dining place fits the needs of the user.
Comorbidity: A Critical Issue in Attention Deficit Disorder

In this report, we examine the interrelationships between attention deficit disorder (ADD), learning disabilities (LD), and conduct and oppositional disorders (COD). We indicate that it is reasonable to consider ADD as a distinct entity, frequently co-occurring with LD on the one hand, and COD on the other. The first section reviews the interrelationships between ADD and LD. Here we focus on definitional issues, trace the historical antecedents of ADD and LD, examine the prevalence of ADD and LD, and review studies designed to differentiate cognitive from attentional mechanisms in children with ADD, LD, or both. In the next section, we review the evidence linking ADD with COD, a distinction blurred in earlier investigations by problems with referral bias. More recent studies suggest that the antecedents, clinical characteristics, and prognosis may differ in children with ADD alone compared to those with ADD in association with COD. (J Child Neurol 1991;6(Suppl):S13-S20).
Studying Forum Dynamics from a User Engagement Perspective

Online forums are popular websites that provide extensive communication records of users over time. Systematic anal- ysis of these records can facilitate the mathematical model- ing of communication and the development of forum man- agement tools. For example, the models can be capable of prediction whether a user is likely to elicit responses in the future, based on the past observations. Many researchers have tried dierent approaches to forum data analysis, such as a focus on user roles, discussion diver- sity and growth dynamics. For example, Both Viegas and Smith [4] and Welser et al. [5] use visualization to derive structural features of the roles of individual users thus indi- cating clear dierences between consistent \answer people" and those preferring discussions. Chan and Hayes [1] extend this work by categorizing such roles and exploring the com- position of forums in terms of a diversity of roles. Kumar et al. [3] and Gonzalez-Bailon et al., [2] model growing trees of discussion threads. This previous work has proven germane, but is constrained in several ways. First, these studies tend to assume that users exhibit consistent behavior over time. Second, studies that look to temporal patterns over time instead of assuming consistency (such as AuthorLines [4]) tend to be descriptive, visual and dicult to scale. To address these limitations, we propose a method to rep- resent a user's engagement in communication over time as a user path that is a line in a space of user features.
Detecting shadows in high-resolution remote-sensing images of urban areas using spectral and spatial features

In accordance with the characteristics of urban high-resolution (HR) remote-sensing images, we propose a shadow detection algorithm that combines spectral and spatial features. Rather than pixel-based shadow features, the proposed features are based on shadow regions obtained by the object-based segmentation method. First, based on the shadow ratio map, the candidate shadow pixels are acquired by the Otsu method. The candidate shadow regions can be identified using connected component analysis. In the candidate shadow regions, shadow spectral and spatial features are calculated. With these two features, the true shadow regions can be distinguished from candidate shadow regions. Experiments and comparisons indicate that our proposed algorithm is feasible and effective for shadow detection in both aerial and satellite images.
Text Categorization System for Stock Prediction

Due to the complex market environment, it is very difficult to get the accurate predict of the stake only by the data analysis method. This paper uses the text categorization method to predict the trend of the stock. We divide the text categorization method into the following three steps: Text representation, Feature selection and Text Categorization. By comparing several categorization methods including feature selections and feature spaces, etc., the results show that the SVM method with Information Gain and 1000 feature spaces can get the better performance for the predict of the stock with the news.