Miracle-dz/UniFAR-FTUs huggingface dataset:
Accident Detection System Using Dynamic Fuzzy Logic Control

Development of Traffic signal control systems has become one of the most important topics in this era. Traffic light controllers need to be developed continuously to solve the traffic problems. This paper discussed the proposed accident detection system and demonstrated how the system works from the beginning of the first flag "decrease of cross ratio" and through the member functions with the status of the accident. The focus of this paper is to discuss the Accident Detection System of the proposed dynamic fuzzy control system, which depended on fuzzy logic and its components.
Flicker: Saving Refresh-Power in Mobile Devices through Critical Data Partitioning

Mobile devices are left in sleep mode for long periods of time. But even while in sleep mode, the contents of DRAM memory need to be periodically refreshed, which consumes a significant fraction of power in mobile devices. This paper introduces Flicker, an application-level technique to reduce refresh power in DRAM memories. Flicker enables developers to specify critical and non-critical data in programs and the runtime system allocates this data in separate parts of memory. The portion of memory containing critical data is refreshed at the regular refresh-rate, while the portion containing non-critical data is refreshed at substantially lower rates. This saves energy at the cost of a modest increase in data corruption in the non-critical data. Flicker thus explores a novel and interesting trade-off between energy consumption and hardware correctness. We show that many mobile applications are naturally tolerant to errors in the non-critical data, and in the vast majority of cases, the errors have little or no impact on the application’s final outcome. We also find that Flicker can save between 20-25% of the power consumed by the memory subsystem in a mobile device, with negligible impact on application performance. Flicker is implemented almost entirely in software, and requires only modest changes to the application, operating system and hardware.
The Benefits and Drawbacks of HTTP Compression

HTTP compression addresses some of the performance problems of the Web by attempting to reduce the size of resources transferred between a server and client thereby conserving bandwidth and reducing user perceived latency. Currently, most modern browsers and web servers support some form of content compression. Additionally, a number of browsers are able to perform streaming decompression of gzipped content. Despite this existing support for HTTP compression, it remains an underutilized feature of the Web today. This can perhaps be explained, in part, by the fact that there currently exists little proxy support for the Vary header, which is necessary for a proxy cache to correctly store and handle compressed content. To demonstrate some of the quantitative benefits of compression, we conducted a test to determine the potential byte savings for a number of popular web sites. Our results show that, on average, 27% byte reductions are possible for these sites. Finally, we provide an in depth look at the compression features that exist in Microsoft’s Internet Information Services (IIS) 5.0 and the Apache 1.3. 22 web server and perform benchmarking tests on both applications.
Combinatorial JPT based on orthogonal beamforming for two-cell cooperation

In this paper, we investigate efficient multi-cell cooperation based on CoMP-joint processing and transmission (CoMP-JPT) with orthogonal beamforming. Through the use of a combinatorial optimization algorithm, the optimal user scheduling for joint transmission using multiple transmitters is accomplished. The throughput of the CoMP-JPT can be significantly improved while maintaining fairness among users over a multi-cell environment.
Bioinformatics analysis of bacteriophage and prophage endolysin domains

Endolysins as a class of antibacterial enzymes are expected to become a very useful tool for many purposes to control spreading of, e.g., multiresistant bacteria in different environments. Their antimicrobial properties could be broadened or altered by mutagenesis, domain swapping or gene shuffling. Therefore, the specific designing of endolysins to achieve their desired properties is challenging. This work is focused on the in silico analysis of protein domains presence in sequences of phage and prophage endolysins, followed by the study of variety of domain combinations in the individual endolysin types. The multiple sequence alignment of endolysin sequences revealed the recognition of sequence types with typical domain arrangement and conserved amino acids, divided according to the target substrate in bacterial cell walls. The five protein families of catalytic domains are specifically occurring in dependence of bacterial Gram-type. The presence, types and numbers of binding domains within endolysin sequences were also studied. The obtained results enable a more targeted design of endolysins with required antimicrobial properties.
Trusting Others to ‘Do the Math’

Researchers effectively trust the work of others anytime they use software tools or custom software. In this article I explore this notion of trusting others, using Digital Humanities as a focus, and drawing on my own experience. Software is inherently flawed and limited, so when its use in scholarship demands better practices and terminology, to review research software and describe development processes. It is also important to make research software engineers and their work more visible, both for the purposes of review and credit.
Deceived bilateral filter for improving the classification of football players from TV broadcast

This paper presents a novel image abstraction technique, the deceived bilateral filter (DBF). The DBF combines border sharpening with simplification of homogeneous regions to achieve moderate de-blurring and colour emphasis. The aim of the DBF is to remove noise of colour and shape descriptors (histograms and contours) of the blobs corresponding to football players. The experiment implemented for this paper consists in an unsupervised histogram based classification of the blobs based on the team of the football players aiming to evaluate histogram de-noising. The results show an average classification success rate improvement of 11%.
CHANNEL-AWARE SCHEDULERS FOR VOIP AND MPEG4 FOR WIRELESS COMMUNICATIONS

When transmitting multimedia applications over a wireless channel, multimedia traffic is faced with the errorprone, time-varying nature of wireless communication. One means to improve this situation is to adapt the transmission decisions, e.g., time to transmit or parameters like transmission power or FEC to the current, actual state of the wireless channel. Also, semantic-aware adaptation techniques have proven to achieve important quality gains. However, these approaches require modifications to existing applications. In this paper, we investigate how the combination of channel knowledge with different deadlines impacts the perceived quality of voice over IP and MPEG4 encoded video streams. We show that such channel-aware scheduling alone, without requiring any changes to existing applications or protocols, can considerably improve multimedia quality while simultaneously reducing the load on the wireless channel. For voice over IP in particular, we characterise a trade-off between delay and loss rate that optimises the perceived quality.
Fast condensed nearest neighbor rule

We present a novel algorithm for computing a training set consistent subset for the nearest neighbor decision rule. The algorithm, called FCNN rule, has some desirable properties. Indeed, it is order independent, and has subquadratic worst case time complexity, while it requires few iterations to converge, and it is likely to select points very close to the decision boundary. We compare the FCNN rule with state of the art competence preservation algorithms on large multidimensional training sets, showing that it outperforms existing methods in terms of learning speed and learning scaling behavior, and in terms of size of the model, while it guarantees a comparable prediction accuracy.
Calendaricities and multimodality in the Eastern Mediterranean cyclonic activity

Calendaricities, or the occurrence of weather anomalies on fixed calendar dates, are investigated for the Eastern Mediterranean (EM). The anomalies discussed here are the maxima and minima in the frequency of occurrence of the EM synoptic systems bearing rainfall. Those are mostly the Winter Lows passing over Cyprus en route eastward of the Ionian Sea where they are generated in situ or come to from N. Italy. The Winter Lows produce the rainfall over the central and northern EM areas, including Cyprus, Israel, Lebanon, NW Syria, W. Jordan. The southern EM areas, i.e. S. Israel and NE Egypt, get rainfall followed by floods due to the Winter Lows as well, and in addition, due to a small proportion of the mostly dry Red Sea Troughs that occasionally turn out to cause heavy rainfall. The analy- sis of the daily resolved data based on the NCEP/NCAR reanalysis is carried out. A comparison of two 28-yr peri- ods, 1948-1975 and 1976-2003, different in global clima- tology, showed their similarity in the timing of peaks in EM cyclonic activity. The winter was found to have five maxima of cyclonic activity, centered on early February and nearly bell-shaped over their magnitudes. This supports the earlier hypotheses of multimodality in the EM rainfall. The Red Sea Troughs have their main peak of occurrence in the late October - early November, and their small rain-bearing pro- portion falls as well on this period of a year. (in part referred to by Duncan et al., 1965). The "calen- daricity" term was introduced by Brier et al. (1963) in or- der to avoid the confusion with "singularity". These authors rejected the existence of the calendaricities for the rainfall based on data over the entire United States. Then, Portig (1964) pointed that combining the data from too big an area suppressed the calendaricities. He held that calendaricities might be revealed when considering the data within a given region. Godfrey et al. (2002), discussing the existence of the January Thaw over the north-eastern U.S. stations during late January, "have failed to reject the null hypothesis that mere sampling variations have produced" this feature. How- ever, Mapes et al. (2005), via an analysis of the Atmospheric Global Circulation Model simulations showed that the model is able to capture the intraseasonal rainfall peaks.
High power wide Raman combs in picosecond-laser pumped H2-filled inhibited coupling kagome fibers

We report on the generation of wide Raman combs with over-five octaves bandwidth from the UV at 300 nm to the long-wavelength infrared at 12.5 μm. These combs are generated via transient stimulated Raman scattering in H2-filled inhibited coupling (IC) Kagome Hollow-Core Photonic Crystal Fiber pumped with high power picosecond fiber laser with several spectral lines and with an output average power of up to ~10 W. We demonstrate that by selective generation of Raman line that the current set-up can be used to develop high power fiber lasers at non-conventional wavelength outside the bandwidth emissions of the rare earth. As an example, we generated laser emission at 1.8 μm with average power as high as 9.3 W, corresponding to a quantum efficiency of 75%.
Identification, Selection, and Enrichment of Cardiomyocyte Precursors

The large-scale production of cardiomyocytes is a key step in the development of cell therapy and tissue engineering to treat cardiovascular diseases, particularly those caused by ischemia. The main objective of this study was to establish a procedure for the efficient production of cardiomyocytes by reprogramming mesenchymal stem cells from adipose tissue. First, lentiviral vectors expressing neoR and GFP under the control of promoters expressed specifically during cardiomyogenesis were constructed to monitor cell reprogramming into precardiomyocytes and to select cells for amplification and characterization. Cellular reprogramming was performed using 5′-azacytidine followed by electroporation with plasmid pOKS2a, which expressed Oct4, Sox2, and Klf4. Under these conditions, GFP expression began only after transfection with pOKS2a, and less than 0.015% of cells were GFP+. These GFP+ cells were selected for G418 resistance to find molecular markers of cardiomyocytes by RT-PCR and immunocytochemistry. Both genetic and protein markers of cardiomyocytes were present in the selected cells, with some variations among them. Cell doubling time did not change after selection. Together, these results indicate that enrichment with vectors expressing GFP and neoR under cardiomyocyte-specific promoters can produce large numbers of cardiomyocyte precursors (CMPs), which can then be differentiated terminally for cell therapy and tissue engineering.
Control Architecture of a 10 DOF Lower Limbs Exoskeleton for Gait Rehabilitation

This paper describes the control architecture of a 10 DOF (Degrees of Freedom) lower limbs exoskeleton for the gait rehabilitation of patients with gait dysfunction. The system has 4 double-acting rod pneumatic actuators (two for each leg) that control the hip and knee joints. The motion of each cylinder's piston is controlled by two proportional pressure valves, connected to both cylinder chambers. The control strategy has been specifically designed in order to ensure a proper trajectory control for guiding patient's legs along a fixed reference gait pattern. An adaptive fuzzy controller which is capable of compensating for the influence of the dry friction was successfully designed, implemented and tested on an embedded real-time PC/104. In order to verify the proposed control architecture, laboratory experiments without a patient were carried out and the results are reported here and discussed.
Exocyst Sec5 Regulates Exocytosis of Newcomer Insulin Granules Underlying Biphasic Insulin Secretion

The exocyst complex subunit Sec5 is a downstream effector of RalA-GTPase which promotes RalA-exocyst interactions and exocyst assembly, serving to tether secretory granules to docking sites on the plasma membrane. We recently reported that RalA regulates biphasic insulin secretion in pancreatic islet β cells in part by tethering insulin secretory granules to Ca2+ channels to assist excitosome assembly. Here, we assessed β cell exocytosis by patch clamp membrane capacitance measurement and total internal reflection fluorescence microscopy to investigate the role of Sec5 in regulating insulin secretion. Sec5 is present in human and rodent islet β cells, localized to insulin granules. Sec5 protein depletion in rat INS-1 cells inhibited depolarization-induced release of primed insulin granules from both readily-releasable pool and mobilization from the reserve pool. This reduction in insulin exocytosis was attributed mainly to reduction in recruitment and exocytosis of newcomer insulin granules that undergo minimal docking time at the plasma membrane, but which encompassed a larger portion of biphasic glucose stimulated insulin secretion. Sec5 protein knockdown had little effect on predocked granules, unless vigorously stimulated by KCl depolarization. Taken together, newcomer insulin granules in β cells are more sensitive than predocked granules to Sec5 regulation.
Randomized Preprocessing of Homogeneous Linear Systems ∗

Our randomized preprocessing enables pivoting-free and orthogonalization-free solution of homogeneous linear systems of equations. In the case of Toeplitz inputs, we decrease the solution time from quadratic to nearly linear, and our tests show dramatic decrease of the CPU time as well. We prove numerical stability of our randomized algorithms and extend our approach to solving nonsingular linear systems, inversion and generalized (Moore–Penrose) inversion of general and structured matrices by means of Newton’s iteration, approximation of a matrix by a nearby matrix that has a smaller rank or a smaller displacement rank, matrix eigen-solving, and root-finding for polynomial and secular equations. Some by-products and extensions of our study can be of independent technical intersest, e.g., our extensions of the Sherman–Morrison– Woodbury formula for matrix inversion, our estimates for the condition number of randomized matrix products, preprocessing via augmentation, and the link of preprocessing to aggregation.
Root traits contributing to plant productivity under drought

Geneticists and breeders are positioned to breed plants with root traits that improve productivity under drought. However, a better understanding of root functional traits and how traits are related to whole plant strategies to increase crop productivity under different drought conditions is needed. Root traits associated with maintaining plant productivity under drought include small fine root diameters, long specific root length, and considerable root length density, especially at depths in soil with available water. In environments with late season water deficits, small xylem diameters in targeted seminal roots save soil water deep in the soil profile for use during crop maturation and result in improved yields. Capacity for deep root growth and large xylem diameters in deep roots may also improve root acquisition of water when ample water at depth is available. Xylem pit anatomy that makes xylem less “leaky” and prone to cavitation warrants further exploration holding promise that such traits may improve plant productivity in water-limited environments without negatively impacting yield under adequate water conditions. Rapid resumption of root growth following soil rewetting may improve plant productivity under episodic drought. Genetic control of many of these traits through breeding appears feasible. Several recent reviews have covered methods for screening root traits but an appreciation for the complexity of root systems (e.g., functional differences between fine and coarse roots) needs to be paired with these methods to successfully identify relevant traits for crop improvement. Screening of root traits at early stages in plant development can proxy traits at mature stages but verification is needed on a case by case basis that traits are linked to increased crop productivity under drought. Examples in lesquerella (Physaria) and rice (Oryza) show approaches to phenotyping of root traits and current understanding of root trait genetics for breeding.
A Convex Approach for Image Hallucination

In this paper we propose a global convex approach for image hallucination. Altering the idea of classical multi image super resolution (SU) systems to single image SU, we incorporate aligned images to hallucinate the output. Our work is based on the paper of Tappen et al. where they use a non-convex model for image hallucination. In comparison we formulate a convex primal optimization problem and derive a fast converging primal-dual algorithm with a global optimal solution. We use a database with face images to incorporate high-frequency details to the high-resolution output. We show that we can achieve state-of-the-art results by using a convex approach.
Video Super-Resolution From Scene-Specific Images

The candidate confirms that the work submitted is their own and the appropriate credit has been given where reference has been made to the work of others. I understand that failure to attribute material which is obtained from another source may be considered as plagiarism. Summary The aim of this project is to design and implement a super-resolution algorithm to improve the visual quality of videos. Super-resolution is the process of improving the resolution of an image or video and inserting high-frequency detail which was not previously present. This detail will be taken from higher resolution images of the same scene. It is hoped that any object present in the video will also be present in the still images, where they will be captured in much higher detail. Even if an exact match for every object in the video is not present it is hoped that the algorithm will still be able to create plausible high-frequency detail to improve the input video. In this report I will review previous work done in this area and describe how my super-resolution algorithm was implemented. I will also evaluate my algorithm and suggest possible future extensions. i Acknowledgements First of all I would like to thank my project supervisor Dr. Mark Everingham for fitting our weekly meetings into his busy schedule, and for all the sound knowledge and guidance he gave me throughout the year. I would also like to thank my assessor Dr. David Hogg for the valuable feedback he gave me on my mid project report, and the questions and guidance he gave me during the project demonstration at the end of the year. I would also like to thank my family, for supporting me throughout my degree and being there for me when times were hard. My friends both in university and outside also deserve thanks, for not turning their backs on me when I disappeared into the School of Computing labs for weeks on end, and for giving me ongoing evaluation of how my output videos were looking. Finally I would like to thank my girlfriend who has kept me motivated to work to my fullest potential throughout this project and also kept me fed and watered! ii
LETTER TO THE EDITOR: Discrete symmetries and S-matrix of the XXZ chain

We formulate the notion of parity for the periodic XXZ spin chain within the quantum inverse scattering method. We also propose an expression for the eigenvalues of the charge conjugation operator. We use these discrete symmetries to help classify low-lying states in the critical regime, and we give a direct computation of the S-matrix.
M-base: enduser-initiative application development based on message flow and componentware

An explosive increase in end user computing on distributed systems requires that end users develop application software by themselves. One solution is given as a formula of "a domain model/spl equiv/a computation model. " This formula implies that one task in a domain model of cooperative work corresponds to one object in a computation model based on an object oriented model. The application development environment, M-base, supports this formula for cooperative systems such as groupware and workflow systems. At the first stage, the system behavior at a macro level is expressed by using a modeling and simulation tool for constructing a message driven model while focusing on message flow and componentware. At the second stage, a source program in a script language is generated automatically from the message driven model. Furthermore, if necessary, static structure and detailed specifications of objects are expressed in the script language. Communication among objects is performed by a set of messages instead of a message, for implementation of flexible workflow.
Cocaine-induced Impulsive Choices Are Accompanied by Impaired Delay-dependent Anticipatory Activity in Basolateral Amygdala

Addicts and drug-experienced animals have decision-making deficits in delayed reinforcement choice task, in which they prefer small immediate rewards over large delayed rewards. Here, we show evidence that this deficit is accompanied by changed coding of delay length in the basolateral amygdala (BLA). A subset of neurons in BLA demonstrated delay-dependent anticipatory activity (either increase or decrease as a function of delay to reward) in naive rats. After 30 days of withdrawal from chronic cocaine treatment (30 mg/kg/day for 10 days ip), the proportion of delay-dependent anticipatory neurons reduced, whereas delay-dependent activity in response to elapsed delay after reward delivery increased, both in the proportion of delay-dependent neurons and in the extent of delay dependence. Cocaine exposure increased, instead of decreased, BLA neuronal expectation for different reward magnitudes. These results indicate that BLA is critical for representing and maintaining the information of delayed reward before its delivery, and cocaine exposure may affect decision-making by impairing perception of delay instead of the ability to assess the differences in reward size.