Miracle-dz/UniFAR-FTUs huggingface dataset:
Five Leg Z-Source Inverter Feeding TwoIndependent Loads Simultaneously

This paper presents control methods for controlling two independent loads simultaneously by using five-leg ZSource Inverter and High-Performance Z-Source Inverter. In recent years, five-leg inverter has been proposed. This inverter can control two three-phase loads independently at a time, this inverter has five legs,each leg consists of two switching devices and total ten switching devices. AandB phases of both loads are connected in each leg respectively whereas C phase of both loads is connected in common leg. In five-leg inverter, C phase of the loads are connected in the common leg, it causes difference from a switching pattern of C phase in two loads. For this reason, the modulation methods of a three leg inverter can’t be used for the fiveleg inverter. Many modulation methods for the five-leg inverter have been proposed, but Voltage Utility Factor is 50% in these methods. This paper proposes a novel structure for Z-source five-leg inverter. First, the construction of five-leg inverter, Z-source five-leg inverter is introduced and then PWM modulation methods for the Z-source five-leg inverter are elaborated. Consequently, it is shown with Z-source one can improve Voltage Utility Factor in five-leg inverter. In the end, the validity of the method is verified by simulations
Data hiding for authentication of binary images

The advancement in digital technology and multimedia has made it easy to duplicate, manipulate and illegally distribute the multimedia content, which brings serious concerns in copyright protection and authentication. In addition, it is easy to forge an image with the powerful image editing software and digital cameras. In this thesis, we propose data hiding techniques that operate on different level (e.g., object and pixel) and on different domain (e.g., spatial and transform) for the purpose of binary images authentication and tampering localization. Issues in capacity, visual quality, system security, computational complexity and accuracy in tampering localization are addressed. The validity of the methods is demonstrated by both quantitative results and theoretical analysis. We firstly investigate data hiding for text images in object level by integrating the inter character and word spaces. A new concept of maximum inter character space is introduced such that the relationship between the inter character and word spaces can be established. The security level of the data hiding system has been enhanced by randomly shifting the characters as well as by embedding the authenticator watermark. This method can be applied to a wide variety of text documents authentication, especially for the applications that do not allow the distortions introduced by flipping pixels in binary images. How to identify the suitable locations to carry the information data is a key issue for data hiding techniques operating in pixel level. We propose a “Connectivity-Preserving” criterion to assess the “flippability” of a pixel to preserve the connectivity of pixels in a ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library
Thrust Performance of a Micro-Multi-Plasmajet-Array Thruster IEPC-2011-289

Microfabrication of a 3x3 micro-plasmajet array with ultra-violet lasers and their thrust performance tests were conducted for nozzle elements with exit height of 0.5 mm and length of 0.5 mm. Stable discharge and operational conditions were confirmed for the 3x3 micro-plasmajet array thruster. To evaluate thrust characteristics of the arrayed plasmajet, thrust characteristics of the thruster were compared with those of the microsingle-nozzle plasmajet. It was shown that the thrust and specific impulse of the microplasmajet array were higher than those of the micro-single-nozzle plasmajet due to the multi-jet effect. The typical values of the thrust, specific impulse and thrust efficiency averaged per nozzle element of the micro-plasmajet array thruster operated at 6.2 W with 1.46 mg/sec of propellant mass flow per nozzle element were 1.13 mN, 79 sec, and 24%, respectively. In addition, observation of the micro-nozzle discharges was conducted.
Comparison between UML and Generator Application Scripting Model

The basic features of UML and scripting model of application generators are compared in this paper. The comparison between two models is performed according to the following features: static and dynamic view within the process level and design level, implementation of encapsulation and inheritance, relationships among basic model elements (classes/metascripts) and software requirements specification. Compatibilities of models are ascertained, but there are also conceptual differences. The scripting model actually represents a model of generators and it is based on aspects and their distribution on different program parts. UML is based on the generic approach which lacks efficiency in dealing with the modelling of aspects due to the features of the object model being a system based on types. The comparison shows that the scripting model is simpler and type-free. As such, it enables more flexibility in the development of application generators, and the application of Boehm's cyclic model of software development.
Principles for ethical treatment decision-making in veterinary oncology.

Many owners of companion animals with cancer are overwhelmed by having to choose the "right course of action. " With the aim of reducing the burden on owners who are forced to act as surrogates for their animals, this work discusses principles that apply to ethical treatment decision-making for animal patients with cancer. Four principles frequently used for ethical decision-making in human medicine will be considered for their potential applicability in veterinary medicine. As a result of these considerations, preliminary guidelines are presented, along which a decision-making discussion can be held. The deliberate integration of the non-maleficence and beneficence principles into the purely empirical facts of what is medically possible helps to maintain a moral perspective in specialized veterinary medicine. At the same time, such guidelines may contribute to individual decision-making in a way that animal patients neither have to endure unnecessarily severe side effects, nor that they are euthanized prematurely.
A Novel Hybrid Policyfor Web Caching

Web caching is one of the most successful solutions for improving the performance of Web- based system by keeping Web objects that are likely to be used in the near future close to the clients. The core of the caching system is its page replacement policy, which needs to make efficient replacement decision when its cache is full and a new document needs to be stored. Several replacement policies based on recency, frequency, size, cost of fetching object and access latency have been proposed for improving the performance of Web caching by many researchers. However, it is difficult to have an omnipotent policy that performs best in all environments as each policy has different design rational to optimize different resources. In this paper, we have proposed a Novel Hybrid Replacement Policy for Web Caching which is an efficient combination of two traditional well- known policies, Least Recently Used (LRU) and Least Frequently Used (LFU). We have developed experimental codes along with trace-driven simulation and analyzed the results. Analysis of the results show that our proposed Novel Hybrid Policy gives better performance characteristics over other two policies used individually in terms of Hit ratio and Latency saving ratio.
Object tracking using adaptive color Snake model

An active contour model, Snake, was developed as a useful segmenting and tracking tool for rigid or non-rigid objects by Kass in 1987. Snake is designed on the basis of Snake energies. Segmenting and tracking can be executed successfully by the process of energy minimization. In this paper, a novel scheme for object contour extraction and object tracking is proposed. By designing the snake which uses information about the gradient magnitude and color, our approach provides the improvement of the capability to detect the desired color object without any preprocessing. The essential idea is to design the snake node to track the color adaptively.
Interlace To Progressive Scan Converter For IDTV

The authors describe a progressive scan system which performs interlace to double-scan format conversion for luma and chroma signals using YUV analog input and output. Motion adaptive processing for luma is included to reduce artifacts due to motion. Minimal external RAM and only one digital signal processing IC are needed. All analog-to-digital and digital-to-analog converters, a voltage controlled oscillator, and phase detectors were on the digital processing IC. >
Acute Pulmonary Embolism in a Young Patient with Deep Vein Thrombosis

Pulmonary embolism remains a disease which needs early diagnosis & management to prevent mortality and morbidity. Awareness regarding PE is lower than that for other thrombotic disorders, such as heart attack and stroke [1]. Incidence of pulmonary embolism is around 0.5-1 case per 1000 [2]. Study shows that, about 70% of proven post mortem cases of pulmonary embolism are not even suspected during the course of treatment [3]. Young patients are more likely to be mismanaged, as suspicion in healthier young patient is very low.
A low-cost and low-weight attitude estimation system for an autonomous helicopter

In this paper a low-cost and low-weight attitude estimation system for an autonomous helicopter is presented. The system is based on an inclinometer and a rate gyro. The data coming from the sensors is fused through a complementary filter. In this way the slow dynamics of the inclinometer can be effectively compensated. Tests have shown that a very effective attitude estimation system can be achieved.
The Verification of the Reliability and Validity of Inclusive Education Assessment Tool (IEAT)

Han, Yano & Yonemizu (2015) also developed the Inclusive Education Assessment Tool(IEAT) to understand the establishment of inclusive education system. This tool was developed based on the understanding of the current state of inclusive education and the relationship between inclusive education and special needs education in Japan. IEAT is the first tool to evaluate the current state of inclusive education system, but its reliability and validity have not been verified yet. Therefore, this study aimed to verify the reliability, content validity and construct validity of IEAT. Content Validity; When over 80 percent of the respondents answered that the tool is valid, it is determined that this tool is verified to be valid. Reliability; Reliability of IEAT was estimated using the internal consistency method. The internal consistency of IEAT was assessed with Cronbach’s α. A minimum Cronbach’s α co-efficient of 0.7 was considered satisfactory for group-level comparisons. Construct Validity; Construct validity was verified using structural equation modeling (SEM). Goodness of fit index (GFI), comparative fit index (CFI) and root mean square error of approximation (RMSEA) are the suitability indices of SEM; researchers may choose which index they would use for the verification of SEM. A model is considered acceptable, when two or more fit indices are met including RMSEA. For adequately fitting models, these fit indices should meet the following criteria: GFI>0.95, CFI>0.90 and RMSEA<0.1. As the result, Over 90 percents of respondents answered that this tool is valid in all the items and domains, guarantee of rights(α=0.848), improvement in environment(α=0.752) and reform in curriculum(α=0.775); GFI=0.953; CFI=0.952; and RMSEA=0.068. The validity was verified because the values of GFI, CFI and RMSEA were within the goodness-of-fit range. Inclusive education, IEAT, Verification of the Reliability and Validity, Changwan HAN (hancw917@gmail.com) Asian J Human Services, 2015, 9:63-72. © 2015 Asian Society of Human Services Received
Cloud Model-based Data Attributes Reduction for Clustering

Data reduction, which can simplify large scale data and not lose useful information, is an important topic of knowledge discovery, data clustering and classification. Aiming to solve the current problem that continuous attribute in algorithm of clustering or classification has to be discrete, a new algorithm of data reduction based on cloud model is put forward. By use of cloud model, this algorithm calculates each conditional attribute's importance to decision-making attribute(s), and obtains the reduction attributes by virtue of greedy algorithm. This new data reduction algorithm was verified by some experiments and was proved to be stable and efficient.
Unknown objects drawing using image retrieval

In this paper an unknown objects drawing model is proposed. Here we describe a technique that let us build a visual model of a word through images retrieved from Internet, enabling to learn any object at any time. This process is done without any prior knowledge of the objects appearance. However this information must be filtered in order to get the most meaningful image according to the keyword and allowing making the visual relation between words and images as much unsupervised as it could be possible like humans understanding. For this purpose Pyramid of Histogram of Oriented Gradients (PHOG) feature extraction, K-means clustering and color segmentation is done, and then the final image is drawn as an application of the learning process. The proposed model is implemented in a robot platform and some experiments are carried out to evaluate the accuracy of this algorithm.
Segmentation and tracking of coronary arteries

In most developed countries, heart disease is the leading cause of death. As a result of plaque buildup, the heart's beating motion is disrupted. A two-step method is proposed to detect this pathologic behavior. First, vessel skeletons are extracted in each image by detecting regions of low gradient magnitude. Then, a motion trajectory is computed for each point of the segmented artery tree. The output is a set of vectors describing the general motion of each artery branch.
Area & Power Efficient LDPC Decoder

In this paper we represent an efficient LDPC decoder for which we simply utilize matrix multiplication technics. The basic LDPC decoder has very simple structure, for decoding a string of input is given as an array, which is processed with an Hmatrix. This gives a decoded output data and transmitted through communication system. By direct multiplication we save significant amount of area and power which is the primary objective of the paper. At the same time simulation time is less and coding is short and precise. The decoder designed here can detect and correct the errors of the incoming, encoded data signal of 12 bits length. For simulation we have used Xlinx 14.2 suit and coding language is Verilog.
Approaches for Temporal Information Extraction: A Comparative Study

In some applications like document summarization based on chronological events, question answering in newswire domain etc we need to extract and process temporal information. For example in Question Answer system in newswire domain, if we want to know who was the prime minister of India in February of 2000, we need to extract and process temporal information in the text. Extracting temporal information from text is a crucial task which needs recognition of temporal expressions, identification of events in document to which expression is related and normalization of temporal expression into a value. The information obtained may be further processed and presented to the user as per requirement. This has been an active research area especially in NLP where new tools and techniques are being developed. This paper presents a comparative study of such tools and techniques for temporal information extraction from natural language texts.
Analysis and an image recovery algorithm for ultrasonic tomography system

The problem of an ultrasonic reflectivity tomography is similar to that of a spotlight-mode aircraft Synthetic Aperture Radar (SAR) system. The analysis for a circular path spotlight mode SAR in this paper leads to the insight of the system characteristics. It indicates that such a system when operated in a wide bandwidth is capable of achieving the ultimate resolution; one quarter of the wavelength of the carrier frequency. An efficient processing algorithm based on the exact two dimensional spectrum is presented. The results of simulation indicate that the impulse responses meet the predicted resolution performance. Compared to an algorithm previously developed for the ultrasonic reflectivity tomography, the throughput rate of this algorithm is about ten times higher.
A QOS Cognitive Radio based VHOM Scheme in Heterogeneous Wireless Networks for 4G Advancement

— The integration of Wi-MAX and WLAN has been seen as a promising approach towards 4G. In this paper, we are going to introduce a novel scheme for the interworking of Mobile Wi-MAX and WLAN networks. We propose a tightly coupled interworking structure that can keep Mobile Terminals (MT) always best connected due to the inherent ad-hoc nature of the network, thus ensuring best Quality of Service (QOS). We have derived an evaluation algorithm to estimate the conditions of both Wi-MAX and WLAN networks in terms of available bandwidth and packet delay.
A direct conversion receiver for the 3G WCDMA standard

A highly integrated direct-conversion receiver that satisfies requirements of the third generation Wideband Code Division Multiple Access (WCDMA) mobile phone standard is described. The receiver IC includes the front-end low-noise amplifier, down-conversion mixers, channel select filters, baseband variable gain amplifiers, and the entire frequency synthesizer, including the voltage controlled oscillator, buffers and phase-locked loop.
Relationship between Female Genital Self-Image and Sexual Function: Cross-Sectional Study

1Physiotherapist and Doctor in Medicine and Human Health, Professor of Post-Graduation programs of Bahiana School of Medicine and Public Health (EBMSP), Brazil 2Physiotherapist Master’s Degree in Medicine and Human Health of EBMSP and FAPESB’s fellow, Brazil 3Universitário Estácio do Ceará, Brazil 4Physiotherapist Master’s Degree in Health Technology of EBMSP and FAPESB’s Fellow, Brazil 5Physiotherapist Master’s Degree in Health Technology and Professor of EBMSP Graduation, Brazil 6Professor of EBMSP Graduation and Post-Graduation Program of EBMSP, Brazil
Interference Detection in Architectural Databases

In this paper we address the problem of geometric interference in architectural databases, that arises when different architecture and structural engineering teams integrate their designs into a common 3D scene. By analysing in detail the current work practices, we have modelled a design verification matrix for interference cheking, between architectural (wall, window and door openning, etc) and structural design elements (column, beam, roof slab, etc). In our novel algorithm, we’ve implemented a Binary Space Partitioning (BSP) scheme for all the scene elements, along with several boolean operators that apply to the BSP tree. Every interference can be expressed as a boolean equation that must hold true. Each pair of architectural and structural elements, from the verification matrix, is substituted into the relevant equations and, if a false result is obtained, an inconsistency is visualy signalled and can be discussed at a distance, using our own multi-user 3D virtual environment.
Dienogest for Treatment of Endometriosis in Chinese Women: A Placebo-Controlled, Randomized, Double-Blind Phase 3 Study.

Abstract Background: Dienogest is a progestin with demonstrated efficacy in the treatment of endometriosis in European women. The objective of this study was to evaluate the efficacy and safety of dienogest in Chinese women. Patients and Methods: This 24-week, randomized, double-blind, placebo-controlled multicenter (n = 23) study evaluated the efficacy and safety of 2 mg dienogest once daily in 255 Chinese women aged 18–45 years with laparoscopically diagnosed endometriosis and an endometriosis-associated pelvic pain (EAPP) score ≥30 mm on a 0–100 mm visual analog scale. The primary efficacy variable was absolute change in EAPP from baseline to week 24. Secondary efficacy variables included proportions of responders and intake of supportive analgesic medication. Safety variables included adverse events (AEs), laboratory parameters, and bleeding patterns. Bone mineral density (BMD) was evaluated in a subset of 140 women. Results: After 24 weeks of treatment, the difference between treatment arms for mean .
A Review of Recent Studies of Geographical Scale-Free Networks

The scale-free (SF) structures that commonly appear in many complex networks are a hot topic in social, biological, and information sciences. These self-organized generation mechanisms are expected to be useful for efficient communication or robust connectivity in socio-technological infrastructures. This paper is the first review of geographical SF network models. We discuss the essential generation mechanisms for inducing the structures with power-law behavior, and consider the properties of planarity and link length. Distributed design of geographical SF networks without the crossing and long-range links that cause interference and dissipation problems is very important for many applications such as communications, power grids, and sensor systems.
Cardiovascular health in Brazilian state capitals

Resume Objective: to estimate the prevalence of ideal cardiovascular health indicators in the Brazilian population, according to gender, age, education and region of residence. Method: cross-sectional study that used data from 41,134 participants of the Surveillance System of Risk and Protective Factors for Chronic Diseases by Telephone Survey (Vigitel). The ideal cardiovascular health assessment considers four behavioral factors: not smoking; body mass index less than 25 kg/m2; practicing physical activity, eating fruits and vegetables five or more times per day; and two clinical factors (no diagnosis of diabetes or hypertension). The sum of factors at ideal levels results in a score ranging from zero (worse cardiovascular health) to six (ideal cardiovascular health). Results: considering the six factors, only 3.4% of the studied population presented ideal levels of cardiovascular health, with the majority of participants (57.6%) presenting three or four ideal factors. Women had higher prevalence of ideal cardiovascular health (3.8% versus 2.9% for men) (p < 0.0001). Conclusion: the findings of this study are consistent with the elevated risk of mortality from cardiovascular disease, observed in the Brazilian population. This may contribute to a better understanding of the scenario of cardiovascular health in the urban population of the country.
An AI-calibrated IF filter: a yield enhancement method with area and power dissipation reductions

We have developed an LSI for Gm-C IF filters, attaining (1) a 63% reduction in filter area, (2) a 38% reduction in power dissipation, compared to existing commercial products, and (3) a yield rate of 97%. The developed chip is calibrated within a few seconds by a genetic algorithm; an efficient AI technique for difficult optimization problems.