Miracle-dz/UniFAR-FTUs huggingface dataset:
Fault slip rates and interseismic deformation in the western Transverse Ranges, California

To better constrain fault slip rates and patterns of interseismic deformation in the western Transverse Ranges of southern California, we present results from analysis of GPS and interferometric synthetic aperture radar (InSAR) data and three‐dimensional mechanical and kinematic models of active faulting. Anthropogenic motions are detected in several localized zones but do not significantly affect the vast majority of continuous GPS site locations. GPS measures contraction rates across the Ventura Basin of ~7 mm/yr oriented west‐northwest with rates decreasing to the west and east. The Santa Barbara channel is accommodating ~6.5 mm/yr in the east and ~2.5 mm/yr in the western portions of N/S contraction. Inversion of horizontal GPS velocities highlights a zone of localized fast contraction rates following the Ventura Basin. Using a mechanical model driven by geodetically calculated strain rates, we show that there are no significant discrepancies between short‐term slip rates captured by geodesy and longer‐term slip rates measured by geology. Mechanical models reproduce the first‐order interseismic velocity and strain rate patterns but fail to reproduce strongly localized contraction in the Ventura Basin due to the inadequate homogeneous elastic properties of the model. Existing two‐dimensional models match horizontal rates but predict significant uplift gradients that are not observed in the GPS data. Mechanical models predict zones of fast contraction in the Santa Barbara channel and offshore near Malibu, suggesting that offshore faults represent a significant seismic hazard to the region. Furthermore, many active faults throughout the region may produce little to no interseismic deformation, making accurate seismic hazard assessment challenging.
A Double Precision Floating Point Multiplier Suitably Designed for FPGAs and ASICs

In this paper, a double precision IEEE 754 floating-point multiplier with high speed and low power is presented. The bottleneck of any double precision floatingpoint multiplier design is the 53x53 multiplication of the mantissas (52 bit mantissa+1 hidden bit). This paper proposes a approach to improve this performance bottleneck by adding a redundant 54 bit initialized to ‘0’ in the mantissas of both multiplicand and multiplier. Now, the 54x54 bit multiplication operation is decomposed and performed by nine parallel 18x18 bit multiplication modules. The 18 bit decomposition is chosen, since nearly 512 dedicated 18x18 bit multipliers are available in the latest FPGAs. Moreover, it will be also helpful in implementing the floating point multiplier as an ASIC since the multiply operation can now be performed easily with small dedicated 18x18 bit multipliers. In the proposed architecture, one redundant 18x18 multiplier is also provided to enforce the feature of self repairability (to recover from the faults in 18x18 bit multiply modules). Reconfigurability at run time is provided for attaining power saving. The multiplier has been designed, optimized and implemented on the Xilinx ViterxE FPGA. Thus, a highly regular, self-repairable floating point parallel multiplier architecture (which can be directly scaled for larger multiplication) is proposed.
OUTPUT SYNCHRONIZATION FOR TELEOPERATION OF WHEEL MOBILE ROBOT

The potential for use of robotic systems in remote applications arenas has long motivated development of robust and stable means of teleoperated control of slave systems. However, telerobotic systems face challenges stemming from the devices themselves, environmental factors, communication and control complexities. To address these challenges, we will adopt the passivity based synchronization framework [1] and study its applicability to safely synchronize two heterogeneous Lagrangian systems. Within this framework, an adaptive controller identifies and stabilizes the dynamics of the master and slave systems and renders the dynamics passive to a secondary coupling input. The passive mapping used to couple the output states of the master and slave systems and is made insensitive to lossy and delayed communication medium. Specifically, an adaptive passive synchronization teleoperation controller is developed between an Omni haptic device that serves as our master and a differentially driven nonholonomic Wheel Mobile Robot (WMR) as the slave system. A battery of hardware-in-the-loop simulations are used to verify the proposed controller.
Efficient Design of Multimedia Transcoding for Clientside Application over Mobile Interface

The proposed system introduces a novel framework that can optimize the bandwidth and maintain better visual qualities by performing transcoding on the multimedia contents mainly targeted over the mobile devices. The system designed in Matlab considers both image and video as input file and performs multimedia transcoding considering BMP, GIFF, and JPEG formats supportability on mobile devices. The framework considers designing linear rate regulation policy for enhancing the estimation accuracy and minimizing computational complexities. Results shows that there is a drastic decrease in download time when transcoding is performed maintaining better visual quality estimated by PSNR.
Extracting Topic-Related Photos in Density-Based Spatiotemporal Analysis System for Enhancing Situation Awareness

Recently, people have begun to diligently post their situation, particularly during a crisis, on social media, therefore, the enhancement of situation awareness using social data is one of the most attractive research subjects. In this paper, we propose a novel density-based spatiotemporal system with a photo image classifier. The photo image classifier, which allows the system to enhance situation awareness during a crisis by showing accurate topic-related photos, is integrated using a support vector machine (SVM) based on the Bag-of-Features (BoF) model into the conventional density-based spatiotemporal system. To evaluate the proposed system, we used an actual data set related to a weather topic, "rain," in Japan. The experimental results indicate that the proposed system can extract photo images related to the weather topic "rain" with high accuracy and recall levels.
Application of Surface Electromyographic Signals to Control Exoskeleton Robots

The electromyographic signals abbreviated as EMG, represent the amount of electrical potential generated by the muscle cells when they contract or when they are at rest. Basically, EMG signals can be classified into two types according to the place where they are extracted. The EMG signals detect from inside of the muscles are called as intramuscular EMG whereas EMG signals detect from skin surface of the muscles are called surface EMG. The extraction procedure of intramuscular EMG signals is invasive. The intramuscular EMG signals are difficult to use practically, since the invasive procedure of extraction. EMG signals of human muscles are important biological signals to understand the motion intention of human. Therefore, the EMG signals can be used as input information to control robotic systems (Farry et al., 1996; Kiguchi et. al., 2001). The surface EMG signal is commonly used for this purpose since it can be extracted easily without applying a non-invasive method (Farry et al., 1996). The exoskeleton robot is a device which can be worn by the human operator as an orthotic device (Perry & Rosen, 2007). The same system operated in different modes can be used for different fundamental applications: power-assist device, human-amplifier, rehabilitation device, and haptic interface (Perry & Rosen, 2007). The skin surface EMG signals of the muscles can be used as input information of the controllers of exoskeleton robot (Kiguchi et al., 2001). The EMG signals vary from person to person. In addition, it differs for the same motion even with the same person. The physical conditions such as tiredness, sleepiness, etc. (Kiguchi et al., 2007). Therefore, characteristics of the EMG signals should be carefully considered when developing a control method for exoskeleton robot using EMG signals as input information. Since the surface EMG signals can directly reflect the human motion intention they can be used as main input information to the controller of exoskeleton robot to realize automatic control for the physically weak persons without manipulating any other equipment. Such kind of control is especially important for the system used by elderly, injured, or physically weak persons. This chapter presents an experimental study of upper-limb surface EMG signals and two cases of applying surface EMG signals to control an upper-limb exoskeleton robot. The applied method to process surface EMG signals to use as input information to the control method is also explained. At first, surface EMG signal extraction method and processing
Conditional and Composite Constraints with Preferences

Preferences in constraint problems are common but significant in many real world applications. In this paper, we extend our conditional and composite CSP (CCCSP) framework, managing CSPs in a dynamic environment, in order to handle preferences. Unlike the existing CSP models managing one form of preferences, ours supports four types, namely: variable value and constraint preferences, composite preferences and conditional preferences. This offers more expressive power in representing a wide variety of constraint problems. The preferences are considered here as a set of soft constraints using a c-semiring structure with combination and projection operators. Solving constraint problems with preferences consists of finding a solution satisfying all the constraints while optimizing the preference values. This is handled by a variant of the branch and bound algorithm, we propose in this paper, and where constraint propagation is used to improve the time efficiency. Experimental tests, we conducted on randomly generated CCCSPs with preferences, favor the MAC principle as the constraint propagation strategy to be used within the branch and bound procedure.
Remarks on the unified model of elementary particles

la) S. Coleman and S. L. Glashow, Phys. Rev. Letters 6, 1423 (1961). b) N . Cabibbo and R . G a t t o . N u o v o cimento 27, 872 (1962). 2. H . Ruegg. N u o v o cimento, 24, 461 (1962). 3. D . Speiser and J. Tarski (to be published). 4. L. A. Radicat i and D . Speiser, N u o v o cimento, 24, 385 (1962). 5. T. D . Lee and C. N . Yang , P R 119, 1410 (1960). 6. M. Schwartz, Proceedings of the 1960 Ann . Conf. on High Energy Physics at Rochester , p . 726. 7. R. E. Behrends and A. Sirlin, Phys. Rev. Letters 8, 221 (1962).
Anti-inflammatory activity of in vitro regenerated calli and in vivo plant of Stevia rebaudiana (Bert.) Bertoni

Anti-inflammatory activities of methanolic extract of callus and intact plant part of Stevia rebaudiana(Bert.) Bertoni was studied for the first time. Acute inflammation model, carrageenan induced rat hind paw edema model was employed to investigate the anti-inflammatory activity. The methanolic extract from fresh callus cultures of Stevia rebaudianacultured on Murashige and Skoog (MS) medium fortified with BAP (2.0 μM) and αNAA(1.0 μM) for 2 12 weeks was studied and compared with intact plant extract. Results from the anti-inflammatory activity testing indicated that the callus extract showed a less significant inhibition in the edema as compared to extract of intact plant. It was also revealed that there is an increase in the accumulation of secondary metabolites in callus cultures of sixth week of incubation. The methanolic extract of callus culture and intact plant part exhibited significant, dosedependent activity on the tested experimental animal models and produced a significant inhibition of carrageenaninduced paw edema in rat. The study suggests that the plant Stevia rebaudianais also a potent source for phytomedicine development in future.
A Connectionist Model of Unification

A general approach to encode and unify recursively nested feature structures in connectionist networks is described. The unification algorithm implemented by the net is based on iterative coarsening of equivalence classes of graph nodes. This method allows the reformulation of unification as a constraint satisfaction problem and enables the connectionist implementation to take full advantage of the potential parallelism inherent in unification, resulting in sublinear time complexity. Moreover, the method is able to process any number of feature structures in parallel, searching for possible unifications and making decisions among mutually exclusive unifications where necessary.
SUMA: an interface for surface-based intra- and inter-subject analysis with AFNI

Surface-based brain imaging analysis is increasingly being used for detailed analysis of the topology of brain activation patterns and changes in cerebral gray matter. Here we present SUMA, a new interface for visualizing and performing surface-based brain imaging analysis that is tightly coupled to AFNI - a volume-based brain imaging analysis suite. The interactive part of SUMA is used for rapid and interactive surface and data visualization, access and manipulations with direct link to the volumetric data rendered in AFNI. The batch-mode part of SUMA allows for surface based operations such as geometry and data smoothing, surface to volume domain mapping in both directions and node-based statistical and computational tools. We also present methods for mapping low resolution functional data onto the cortical surface while preserving the topological information present in the volumetric data and detail an efficient procedure for performing cross-subject, surface-based analysis with minimal interpolation of the functional data.
Physical activity in an Old Order Amish community.

UNLABELLED One method to assess the impact of modern technology on physical activity is to examine a group whose lifestyle has not changed markedly in the last 150 yr. The Old Order Amish refrain from driving automobiles, using electrical appliances, and employing other modern conveniences. Labor-intensive farming is still the preferred occupation. PURPOSE The purposes of this study were to characterize the physical activity (PA) levels in an Old Order Amish farming community and to examine measures of adiposity in this group. METHODS Ninety-eight Amish adults (18-75 yr of age) in southern Ontario were studied. Anthropometric variables included height, weight, body mass index (BMI), and percent body fat (% BF). Participants were asked to wear an electronic pedometer for 7 d and to fill out a log sheet on which they recorded steps per day and physical activities. After 1 wk, they returned the pedometers and log sheets and filled out the International Physical Activity Questionnaire. RESULTS The average number of steps per day was 18,425 for men versus 14,196 for women (P < 0.05). Men reported 10.0 h.wk-1 of vigorous PA, 42.8 h.wk-1 of moderate PA, and 12.0 h.wk-1 of walking. Women reported 3.4 h.wk-1 of vigorous PA, 39.2 h.wk-1 of moderate PA, and 5.7 h.wk-1 of walking. Men had higher levels of energy expenditure than women (P < 0.001). A total of 25% of the men and 27% of the women were overweight (BMI > or = 25), and 0% of the men and 9% of the women were obese (BMI > or = 30). CONCLUSIONS The Amish we studied had very high levels of physical activity, which may contribute to their low prevalence of obesity. This group probably represents an upper extreme for "lifestyle PA" in North America today.
“Thank you for letting it be about me”: Women’s perceptions of holistic programming in a jail

ABSTRACT Incarcerated women often have trauma, substance misuse, and mental health concerns. These are often categorized as criminal activity. While data suggest women are incarcerated largely due to substance related issues, there is a gap in jail services. Women are often revictimized in jails, creating additional rehabilitation barriers. There is demand for programming to address substance misuse, mental health, life skills, and community building. This study’s purpose was to understand perceptions of holistic jail programming. Participants’ journals were analyzed (n = 132). Themes included intentionality, process feelings, self-worth, solidarity, programming justification, and emotional safety. The programming has promising elements to be replicated.
Tracking Dim Target in Infrared Imagery Using the Trust Region Embedded Particle Filter

This paper propose a novel algorithm, the trust region embedded particle filter (TREPF), for target tracking in infrared imagery. Trust regions and particle filters are two successful methods for object tracking. The presented TREPF algorithm integrates the advantages of the two approaches. Contrasting the original particle filters and trust regions, the new algorithm can maintain multiple hypotheses with fewer particles by encouraging the particles to be in the right part of the state space. Because of these properties, the sample degeneracy problem and the sample impoverishment problem are overcome while the computational cost is reduced. Promising experimental results on several infrared sequences demonstrate the robustness and effectiveness of TREPF
How Much Effort Needed to Fix the Bug? A Data Mining Approach for Effort Estimation and Analysing of Bug Report Attributes in Firefox

Estimating the effort required to fix a bug is a significant task for the project manager to determine the project release. Among various ways to estimate the effort, analysis of bug report attributes proved excellent results. In this paper the effort required to fix the bug on the components of Firefox application is studied. A framework has been charted for analysing the feature attributes which on imparting association rule mining process resulted with dictating rules which provide the effort succumb to fix the bugs of a particular component. The bug reports used for this study are extracted from Bugzilla, an open source bug repository. These bug reports provides a variety of categorical data from previous projects. Analysis of this can improve the planning of personnel to fix the bug and raise the quality of bug reports.
Car navigation user interface based on a smartphone

The current technological trend in car navigation systems is toward “Display Audio” connected to a smartphone. However, there are issues with driver distraction. Therefore, we propose a new user interface for display audio. In this study, we define the requirements of a car navigation system with display audio based on the proposed new interface. We also provide a basic evaluation of this system.
A MATHEMATICAL MODEL FOR TEMPERATURE DISTRIBUTION IN MULTILAYERED 3 D IC ’ s USING GALERKIN ’ S FINITE ELEMENT TECHNIQUE

A three dimensional realistically shaped mathematical model, to investigate temperature distribution in a 3D IC has been developed taking into account heat carried by thermal vias and heat generation by the heat sources in the various device layers. Keeping in view the various heterogeneous variations of the thermo physical parameters and nature of the various layers, the 3D IC has been divided into seventy five tetrahedral finite elements of various sizes, which are connected to each other by forty eight nodes. We have also suggested various modifications in the 3D IC to obtain a more uniform temperature profile.
Towards a Table Driven XML QoS Aware Transmission Framework

Table driven XML (TDXML) is an encoding mechanism designed to improve the inefficient serialisation/deserialisation process of converting machine object representations to/from XML representations by encoding the XML message data into tabular format, with each data and attribute element being assigned unique identifiers for improved serialisation and deserialisation efficiencies. The table structure of TDXML gives birth to a flexible transmission framework called the Table driven XML QoS aware transmission framework (TDQAT) which makes use of the concept of a content-based routing mechanism and using different tables to convey different functional and non-functional properties of a Web service. TDQAT promises the following benefits: improved performance and quality-of-service control, reduced implementation cost and time, and easing cross-platform integrations.
Accelerated low-rank visual recovery by random projection

Exact recovery from contaminated visual data plays an important role in various tasks. By assuming the observed data matrix as the addition of a low-rank matrix and a sparse matrix, theoretic guarantee exists under mild conditions for exact data recovery. Practically matrix nuclear norm is adopted as a convex surrogate of the non-convex matrix rank function to encourage low-rank property and serves as the major component of recently-proposed Robust Principal Component Analysis (R-PCA). Recent endeavors have focused on enhancing the scalability of R-PCA to large-scale datasets, especially mitigating the computational burden of frequent large-scale Singular Value Decomposition (SVD) inherent with the nuclear norm optimization. In our proposed scheme, the nuclear norm of an auxiliary matrix is minimized instead, which is related to the original low-rank matrix by random projection. By design, the modified optimization entails SVD on matrices of much smaller scale, as compared to the original optimization problem. Theoretic analysis well justifies the proposed scheme, along with greatly reduced optimization complexity. Both qualitative and quantitative studies are provided on various computer vision benchmarks to validate its effectiveness, including facial shadow removal, surveillance background modeling and large-scale image tag transduction. It is also highlighted that the proposed solution can serve as a general principal to accelerate many other nuclear norm oriented problems in numerous tasks.
ANALYSYS AND DESIGN OF VARIOUS BRACING SYSTEM IN HIGH RISE STEEL STRUCTURES.

Steel structures can be strengthened in various types, to resist the lateral forces coming on the structure. In steel buildings, the most widely used method of constructing lateral load resisting system is using braced frames. These systems help the structure to reduce the buckling of columns and beams and the stiffness of the structure is increased. Hence, the main concern while analyzing steel structure is to select the appropriate bracing model and to decide the suitable connection type. The steel bracings are also used in retrofitting to give maximum strength to the structure. In this study, the behavior of the bracing system is analyze by using different types of bracing systems e.g. X bracing, V bracing, Inverted V bracings, Knee bracings. These bracings are analyzed and designed by using STAAD. Pro V8i software. For this analysis the G+9 storey building with different bracing system has been analyzed and designed as per Indian Standard Code 800-2007 by using UC and UB (British) sections for the wind, earthquake and gravity loads also their combinations.
Multi-finger interactions with papers on augmented tabletops

Although many augmented tabletop systems have shown the potential and usability of finger-based interactions and paper-based interfaces, they have mainly dealt with each of them separately. In this paper, we introduce a novel method aimed to improve human natural interactions on augmented tabletop systems, which enables multiple users to use both fingertips and physical papers as mediums for interaction. This method uses computer vision techniques to detect multi-fingertips both over and touching the surface in real-time regardless of their orientations. Fingertip and touch positions would then be used in combination with paper tracking to provide a richer set of interaction gestures that the users can perform in collaborative scenarios.