Miracle-dz/UniFAR-FTUs huggingface dataset:
Enabling on-set stereoscopic MR-based previsualization for 3D filmmaking

PreViz is a computer graphics movie that represents desired scenes in preproduction and is useful for sharing the director's imagination among crews. Therefore, film industry looks upon PreViz as one of the most important processes in filmmaking as the processes become complicated [The Previs Society 2011]. Stereoscopic 3D (S3D) movie production not only changed ways of expressiveness but also changed ways of production and tools. Consequently, it requires more careful planning and PreViz is still important. This paper describes a prototype of S3D MR-PreViz system for HD S3D PreViz shooting using mixed reality (MR) technologies in order to facilitate PreViz making in S3D. This system is designed as an extension of MR-PreViz for classic filmmaking [Ichikari et al. 2010].
A Cutter Head Torque Forecast Model Based on Multivariate Nonlinear Regression for EPB Shield Tunneling

The method based on a forecast model of multivariate nonlinear regression is presented for study on influence factors of cutter head torque and solve the problem of estimating the torque accurately. By comprehensive consideration the influences of geological parameters, driving parameters and cutter head structure parameters, the regression forecast model is established based on theoretical calculation models of cutter head torque and field monitoring data at some Tianjin subway project. The cases study of shield tunneling projects shows that the forecast model is correct and precise. It can be applied to cutter head torque forecast and shield-driven parameters control in shield tunneling under similar geological conditions.
Study and Implementation of Image Retrieval for Teaching Resources

Teaching resources are usually massive, complex, hybrid and distributed. In order to search and utilize images from teaching resources with high efficiency, this paper introduced how to use CBIR (Content-based Image Retrieval) to search images from teaching resources, and design a image retrieval system for Teaching resources, it emphasizes on the analysis of relevance feedback algorithm based on SVM (support vector machines) as well as its' application in the image retrieval of the Teaching Resources. The experiments indicate that this method can accurately and effectively find out the images which are required by user, and improve the image retrieval efficiency effectively.
Light-Weight CSRF Protection by Labeling User-Created Contents

Cross-site request forgery (CSRF/XSRF) is a serious vulnerability in Web 2.0 environment. With CSRF, an adversary can spoof the payload of an HTTP request and entice the victim's browser to transmit an HTTP request to the web server. Consequently, the server cannot determine legitimacy of the HTTP request. This paper presents a light-weight CSRF prevention method by introducing a quarantine system to inspect suspicious scripts on the server-side. Instead of using script filtering and rewriting approach, this scheme is based on a new labeling mechanism (we called it Content Box) which enables the web server to distinguish the malicious requests from the harmless requests without the need to modify the user created contents (UCCs). Consequently, a malicious request can be blocked when it attempts to access critical web services that was defined by the web administrator. To demonstrate the effectiveness of the proposed scheme, the proposed scheme was implemented and the performance was evaluated.
Modeling Warm Dense Matter Experiments using the 3D ALE-AMR Code and the Move Toward Exascale Computing

The Neutralized Drift Compression Experiment II (NDCX II) is an induction accelerator planned for initial commissioning in 2012. The final design calls for a 3 MeV, Li+ ion beam, delivered in a bunch with characteristic pulse duration of 1 ns, and transverse dimension of order 1 mm. The NDCX II will be used in studies of material in the warm dense matter (WDM) regime, and ion beam/hydrodynamic coupling experiments relevant to heavy ion based inertial fusion energy. We discuss recent efforts to adapt the 3D ALE-AMR code to model WDM experiments on NDCX II. The code, which combines Arbitrary Lagrangian Eulerian (ALE) hydrodynamics with Adaptive Mesh Refinement (AMR), has physics models that include ion deposition, radiation hydrodynamics, thermal diffusion, anisotropic material strength with material time history, and advanced models for fragmentation. Experiments at NDCX-II will explore the process of bubble and droplet formation (two-phase expansion) of superheated metal solids using ion beams. Experiments at higher temperatures will explore equation of state and heavy ion fusion beam-to-target energy coupling efficiency. Ion beams allow precise control of local beam energy deposition providing uniform volumetric heating on a timescale shorter than that of hydrodynamic expansion. The ALE-AMR code does not have any export control restrictions and is currently running at the National Energy Research Scientific Computing Center (NERSC) at LBNL and has been shown to scale well to thousands of CPUs. New surface tension models that are being implemented and applied to WDM experiments. Some of the approaches use a diffuse interface surface tension model that is based on the advective Cahn-Hilliard equations, which allows for droplet breakup in divergent velocity fields without the need for imposed perturbations. Other methods require seeding or other methods for droplet breakup. We also briefly discuss the effects of the move to exascale computing and related computational changes on general modeling codes in fusion energy.
Multiple feature fusion via hierarchical matching for TV logo recognition

TV logo recognition plays an important role in video content understanding. So far, Real-time TV logo recognition under complex background based on single frame is still a very challenge task. By analyzing the characteristics of TV logo, a new TV logo recognition algorithm based on multiple feature fusion via hierarchical matching was proposed in this paper. The recognition process consisted of three stages. Firstly, a coarse matching based on frame differentiation and normalized cross correlation coefficient was employed to narrow down the candidate space significantly; then a fine matching based on HOG was used to describe the contours features of candidate logos; finally, the above features were fused to get better recognition performance. Experiment results showed the algorithm proposed had a remarkable performance in TV logo recognition under complex background based on single frame.
An Improved Robust ISS-satisfying Control for Synchronization of FHN Neurons

In the conventional robust ISS (input to state stable) which satisfies control strategy, all parameters of the system must be known and deterministic. Since it confines the application, in this paper an attempt is made to create a bridge between two important design techniques, i.e., the robust ISS-satisficing control strategy and the variable universe indirect fuzzy control strategy, to offset this weakness. The new control method proposed has the inverse optimality of robust ISS-satisficing control and the robust and predictive performance of fuzzy control. Due to the control Lyapunov method, the overall closed-loop system is shown to be stable. In this work, the new control strategy is used in synchronization of two FHN neurons. The simulation results are given to confirm the control algorithm is feasible and performances well.
Skill assessment of the PELAGOS global ocean biogeochemistry model over the period 1980-2000

Global Ocean Biogeochemistry General Circula- tion Models are useful tools to study biogeochemical pro- cesses at global and large scales under current climate and future scenario conditions. The credibility of future esti- mates is however dependent on the model skill in captur- ing the observed multi-annual variability of firstly the mean bulk biogeochemical properties, and secondly the rates at which organic matter is processed within the food web. For this double purpose, the results of a multi-annual simula- tion of the global ocean biogeochemical model PELAGOS have been objectively compared with multi-variate observa- tions from the last 20 years of the 20th century, both con- sidering bulk variables and carbon production/consumption rates. Simulated net primary production (NPP) is compa- rable with satellite-derived estimates at the global scale and when compared with an independent data-set of in situ ob- servations in the equatorial Pacific. The usage of objective skill indicators allowed us to demonstrate the importance of comparing like with like when considering carbon transfor- mation processes. NPP scores improve substantially when in situ data are compared with modeled NPP which takes into account the excretion of freshly-produced dissolved or- ganic carbon (DOC). It is thus recommended that DOC mea- surements be performed during in situ NPP measurements to quantify the actual production of organic carbon in the sur- face ocean. The chlorophyll bias in the Southern Ocean that affects this model as well as several others is linked to the inadequate representation of the mixed layer seasonal cycle in the region. A sensitivity experiment confirms that the ar- tificial increase of mixed layer depths towards the observed values substantially reduces the bias. Our assessment results qualify the model for studies of carbon transformation in the surface ocean and metabolic balances. Within the limits of the model assumption and known biases, PELAGOS indi- cates a net heterotrophic balance especially in the more olig- otrophic regions of the Atlantic during the boreal winter pe- riod. However, at the annual time scale and over the global ocean, the model suggests that the surface ocean is close to a weakly positive autotrophic balance in accordance with re- cent experimental findings and geochemical considerations.
Dendritic Cells Transfected with scFv from Mab 7.B12 Mimicking Original Antigen gp43 Induces Protection against Experimental Paracoccidioidomycosis

Paracoccidioidomycosis (PCM), endemic in Latin America, is a progressive systemic mycosis caused by Paracoccidioides brasiliensis (P. brasiliensis), which primarily attacks lung tissue. Dendritic cells (DCs) are able to initiate a response in naïve T cells, and they also participate in Th-cell education. Furthermore, these cells have been used for therapy in several disease models. Here we transfected DCs with a plasmid (pMAC/PS-scFv) encoding a single chain variable fragment (scFv) of an anti-Id antibody that is capable of mimicking gp43, the main antigenic component of P. brasiliensis. First, Balb/c mice were immunized subcutaneously with pMAC/PS-scFv and, after seven days, scFv protein was presented to the regional lymph nodes cells. Moreover, we showed that the DCs transfected with scFv were capable of efficiently activating proliferation of total lymph node cells and inducing a decrease in lung infection. Therefore, our results suggested that the use of scFv-transfected DCs may be a promising therapy in the paracoccidioidomycosis (PCM) model.
Energy expenditure and water flux of free‐living Dune Larks in the Namib: a test of the reallocation hypothesis on a desert bird

1. Dune Larks (Mirafra erythroclamys) are the only avian species that has evolved the capability of surviving in the Namib Sand Sea, one of the driest regions in the world. Their field metabolic rate (FMR) and water flux, as measured by doubly labelled water, during the breeding and non-breeding season are reported here. 2. FMR is relatively constant over the annual cycle, which conforms to the ‘reallocation hypothesis’. With data pooled for both seasons, males expended energy at a rate of 97·5 ± 20·4 kJ day−1 (±1 SD) and females at 87·5 ± 13·0 kJ day−1. The data supported the hypothesis that Dune Larks do not possess a reduced FMR, a result attributable to their elevated basal metabolism. In a previous laboratory investigation, Dune Larks had a low rate of evaporative water loss despite their elevated basal metabolic rate (BMR). The present study demonstrated that this low evaporative water loss translates into a low water influx in the field. 3. The FMR of Dune Lark females equalled 88·1 ± 6·9 kJ day−1 during incubation, and 88·5 ± 9·9 kJ day−1 when they were feeding 8–10-day-old nestlings. These data do not support the idea that the incubation period is a time of low energy demand. 4. Dune Larks had a relatively constant water influx throughout the year. For sexes combined, mass-adjusted values of water influx averaged 0·59 ml H2O/(day mass0·682). 5. Calculations showed that neonates received 10 kJ day−1 whereas towards the end of the nestling period, chicks were fed 75 kJ day−1, the maximum gross energy intake for nestlings. During chick rearing, males increased the amount of food that they found by 57·7%, females by 64·3%, late in the nestling period. 6. Dune Larks foraged in the morning and late afternoon, but were constrained by their environment to seek shade at midday during the breeding season. 7. Metabolic water production plays a significant role in the water economy of Dune Larks. Assuming a mixed diet, 47% of their water intake comes from the oxidation of food stuffs.
Application of a Bacterial Artificial Chromosome Modification System for a
Human Artificial Chromosome Vector

Exactly controlled conditional gene expressing systems are crucial for genomic functional research, animal transgenesis and gene therapy. Bacterial artificial chromosomes (BACs) are optimal for harboring long fragments of genomic DNA or large cDNA up to 300 kb in size. Therefore, BACs are available to produce transgenic cells and animals for the functional studies of genes. However, BAC can insert DNA randomly into the host genome, possibly causing unpredicted expression. We previously developed a human artiﬁcial chromosome (HAC) vector from human chromosome 21 using chromosome engineering. The HAC vector has several important characteristics desired for an ideal gene delivery vector, including stable episomal maintenance, and the ability to carry large genomic DNA containing its own regulatory element, thus allowing physiological regulation of the transgene in a manner similar to that of the native chromosome. In this study, we develop a system fusing BAC library and HAC technology together to allow tight control of gene expression. This system enables BAC to be cloned into the defined locus on the HAC vector by the Cre/loxP system. In addition, the genome in the BAC is possible to be engineered freely by the BAC recombineering technology. This system is a highly efficient tool for the rapid generation of stringently controlled gene expression system on the HAC vector.
The effect of baseline wandering in automatic T-wave alternans detection from holter recordings

T-wave alternans (TWA) is an electrophysiologic phenomenon associated with an increased risk of death. ECG baseline wandering may prevent correct detection of TWA. The present study was designed to test the effectiveness of our newly developed heart-rate adaptive match filter (AMF) to remove baseline wanders and improve TWA detection. To this aim, both simulated and experimental (10 Holter ECGs of patients with acute myocardial infarction, AMI) data were used. Performance of our AMF was compared with that of a third-order spline (TOS) interpolation. In simulated data, AMF allowed correct detection of TWA almost independently of baseline frequency components, when these were different from TWA own frequency, whereas the TOS interpolation allowed TWA detection only for baseline frequencies lower than TWA frequency. Application of AMF to AMI patients allowed detection of TWA in 2 out of 10, whereas 10 out of 10 were detected as TWA-positive after application of the TOS (p<0.05). The two patients that resulted TWA-positive after AMF application were characterized by a larger number (p<0.05) of beats involved in the TWA episodes than the number detected by the TOS. Detection of TWA in 100% of AMI patients provided by the TOS-technique (suggesting the presence of false-positive), and presence of false-negative, as deduced from the simulation results, question the reliability of this method. Our AMF allows more reliable identification of TWA almost independently of baseline frequency components.
Classification of network traffic in LAN

Classification of Network Traffic is one of most important issue in network management and detection of Intrusion attacks play a vital role in it. To have a holistic picture of the network intrusion detection, selection of appropriate feature is very important; it reduces analysis effort and time too. Data mining can be very fruitful for feature selection and intrusion detection. In this paper, Tcpdump is used to capture network traffic and visualize different set of features using k-mean clustering. KDD'99 corrected intrusion detection dataset is evaluated to find out most important and relevant features and an algorithm based on the features is proposed to detect different types of dos, probing, u2r and r2l attacks with an accuracy of more than 80%.
Re-ranking Method Based on Topic Word Pairs

How to improve the rankings of the relevant documents plays a key role in information retrieval. In this paper, a re-ranking approach based on topic words pair is proposed to improve precision while recall is preserved. The topic word pairs contain two correlated words, one of which is the original query word and the other come from the documents. The selection is based on Probabilistic Latent Semantic Indexing (PLSI). Then, the distribution of the word pairs is used to re-rank documents. Results show a 53.6% and 56.8% improvement compare to the initial retrieval without any re-ranking or query expansion on NTCIR-5 document collection for SLIR.
Simulator based performance analysis of Wireless Sensor Network-A new approach

Performance analysis of Wireless Sensor Network (WSN) deals with estimating and simulating the life of the network while varying certain conditions of the network. While estimation is relatively easier, simulation based performance analysis of WSN is not trivial. In the literature we have seen simulating WSN using various means. For example, using NS-2, using MATLAB etc. In this paper we discuss our approach to simulation based performance analysis of a WSN. For validating our approach we compare performance of four algorithms used in self-organization of a WSN.
The Interactive Dining Table

Large-scale interactive surfaces are nearly ubiquitous in research labs and showrooms around the world today. However, unlike other recent interaction technologies such as smartphones, they have not yet found their way into people’s everyday lives. Possible reasons include high cost as well as a lack of suitable applications. In this paper, we present our prototypical implementation of a low-cost, unobtrusive interactive surface, integrated with the dining table in a real-world living room. To motivate our approach, we explore three scenarios highlighting potential applications for our system and present their prototypical implementations. In the ﬁrst scenario, we extend regular board games with interactive components without sacriﬁcing their unique haptic experience. In the second scenario, we investigate ambient notiﬁcations which provide a method for delivering information to the users subconsciously. Finally, we introduce and explore the concept of augmented dining , in which the appearance of food placed on the table is augmented or modiﬁed through the system.
Sexual behaviour profile of a diverse group of urban youth: An analysis of the Toronto Teen Survey

The objective of this study was to document the sexual behaviour of an ethnoculturally diverse sample of 1,200 urban youth and to assess the association of their experience of 11 behaviours with such factors as age, gender, immigration, race, religion, location of sexual education and sexual orientation. Grouping of these behaviours into three "risk" categories also permitted a similar assessment based on the "highest" risk category that youth had experienced. The descriptive and statistical findings in relation to race, religion, immigration status, and sexual orientation provide a basis for strengthening sexual health programming for urban youth. They also highlight the need to pay close attention to issues of vulnerability and stereotyping when reflecting on who is and is not engaging in various sexual behaviours.
Ciphertext-policy attribute-based encryption with hiding access structure

Ciphertext-policy attribute based encryption (CP-ABE) is becoming very significant in distributed computing environment. Distributed computing environment is very popular way of storing and distributing information, because it is easy to store some information at one place and distribute the information from there. In CP-ABE scheme, every information is encrypted under an access structures, this access structures defines, who can access the encrypted information. But in CP-ABE scheme, we also store access structures along with encrypted information and sometimes this access structures can reveal many things about the plaintext information and the decryptor, therefore any adversary can learn many things. Therefore, it is appropriate to have CP-ABE scheme in which the access structures are not public means access structures are hidden from the users. We have proposed one scheme, in which users do not store access structures with encrypted information (ciphertext). We have used composite-order bilinear groups in our scheme.
Cancerous Cell Detection in Bone Marrow Smear

In recent years, Cancer as a disease has grown widely and it has been the major cause of mortality in humans. In this paper the main focus is on a specific type of blood cancer known as leukemia. The detection of leukemia is done via observation of the physical properties of the cells found in the bone marrow smear. This paper proposes novel leukemia detection using discrete cosine transform (DCT), and the results obtained are compared with the well-known image segmentation and feature extraction method given in the literature. From the results it is observed that the proposed method outperforms the image segmentation in terms of accuracy by 8.5% and precision by 5.4% as compared to the existing image segmentation method.
Morphological patterns of sexual selection in the diving beetle Graphoderus liberus

Hypotheses: Individuals in good condition are better able to invest in costly traits associated with sexual selection and sexual conflict than individuals in poor condition. Sexual selection favours males with male genitalia that are appropriate for stimulating any encountered female (‘one size fits all’ hypothesis) and thus the allometric slopes of genitalia should be equal to 0. Organism: The diving beetle Graphoderus liberus. Time and place: July 2004; Swan Lake near Sudbury, Ontario, Canada. Analytical methods: Multivariate analysis to identify dimorphic traits. Analysis of body condition (via size-corrected mass) and correlations with dimorphic traits and genitalia. Allometric analyses of size of male genitalia. Traits studied: Protarsal pads and pronotum (male traits used for grasping females when copulating). Results: Females tended to be larger than males but males had larger pronota. Both the area of the male protarsal pad and pronotum length were proportional to the condition of the individual. Female pronotum length did not depend on the condition of the individual. The length and width of male genitalia did not depend on condition, and their allometric slopes did not differ significantly from zero. Conclusion: Traits associated with sexual selection and sexual conflict conformed to sexual selection theory. Males in better condition have larger structures for grasping females when copulating. In contrast, male genitalia conform to the ‘one size fits all’ hypothesis.