Miracle-dz/UniFAR-FTUs huggingface dataset:
Load frequency control of two area interconnected power system (Diesel Generator and Solar PV) with PI and FGSPI controller

In this paper,we aim to design and control the power frequency which is produced by a hybrid generator network(Diesel Generator and Solar PV Panels) while there are sudden changes in the connected load to the network. We call this type of control as the “Load Frequency Control” and in abbreviation LFC. We will consider the changes as a step to the solar power network. At first, generator network and PV are simulated by transfer functions and then they will be connected to each other (Tie-Line). Then the produced disturbance will be controlled through two different types of PI controller and FGSPI controller (Fuzzy Gain Scheduled P-I) and the corresponding responses in each networks will be assessed. Also the connection location of networks (Tie-Line) will be checked and the operations of both controllers are comprised. It is obvious from the response analysis of suggested FGSPI controller that it works more properly and accurately than the PI controller.
Auditory-Tactile Interaction Using Digital Signal Processing In Musical Instruments

This paper lays emphasis on research that gives an insight to the auditory-tactile perception in electronic musical instruments (here, electronic violin) stating that most traditional musical instruments inherently convey tactile feedback to the performer along with the auditory feedback which leads to a tight performer-instrument relationship which is not found in electronic musical instruments. Hence, introducing the phenomenon of coupled perception of sound and vibration using digital signal processing in order to facilitate better auditory perception in electronic instruments. Thus the main objective of study is Audio-Driven Vibration Feedback for auditory perception by the violinists in an Electronic Violin. The expected results of the research project ((here electronic violin) are supposed to be claimed beneficial for introducing the phenomenon of coupled perception of sound and vibration in order to facilitate better auditory perception in electronic instruments.
Available car parking space detection from webcam by using adaptive mixing features

This paper presents a robust approach for detection of available car parking spaces. With low quality of video camera as webcam and dynamic change of light around the car parking, it is hard to accurately detect or recognize the cars. Moreover the proposed appearance-based approach is efficient than recognition-based approach because it do not need to learn a huge of multi-view objects. In this paper, we propose adaptive background model-based object detection with dynamic mixing features of masked-area and edge orientation histogram (EOH) density. The average variance of variance of intensity change for dynamic background model is used to change ratio of mixing features dynamically. The masked-area density is density of predefined area of a parking slot that is weighted by Gaussian mask to robust density computation and the edge orientation histogram (EOH) density is density of the EOH in the predefined area that can be used under low contrast image as night scene. The experiments are performed both in simulation model and real scenes. The results show the proposed approach can handle dynamic change of light efficiently.
Human-friendly motion control of a wheeled inverted pendulum by reduced-order disturbance observer

This paper introduces a novel approach to control a wheeled inverted pendulum when a disturbance is applied by a human. The interaction between a human and a wheeled inverted pendulum involves a pulling or pushing force. This type of action is a severe disturbance for a wheeled inverted pendulum, as the wheeled inverted pendulum tends to maintain its initial position if there is no desired input. Thus, there are many possibilities for the wheeled inverted pendulum to be unstable as a result of interactions with humans. To solve this problem, the control algorithm of a wheeled inverted pendulum was designed to move in coordination with the external force of a human. This control algorithm is termed human-friendly motion control. It contains an optimal controller using a full-state feedback and a reduce-order disturbance observer. The disturbance torque from a human was estimated, and the estimated disturbance torque was used to generate a position reference for the human-friendly motion. This control algorithm keeps the wheeled inverted pendulum stable even when a severe disturbance is applied.
Rural Minorities in Computing Education: A Study of Rural Schools with No CS/IT Courses in Oklahoma

The Broadening Participation projects in computing education have been changing the landscape of K12 education in the United States. These efforts are laying foundations to change inequity in the computing workforce and the future of the nation. Rural schools, however, have not received significant attention although they are minorities in access to computing education. Reaching out to rural minorities is critical for the health of the public education system in some states where a significant number of K12 schools are located in rural districts. In this work, we present a study of the twelve rural high schools in Oklahoma that have never offered or have discontinued to offer courses in the field of computing education. Our findings show that some rural high schools have no access to computing education due to their geographical disadvantage. Second, well-used statistics such as the ethnic distribution of AP exams taken may not necessarily represent the status of rural students, especially rural White/Caucasian students. Finally, rural schools face lack of curriculum and hardware/software resources significantly more than their counterparts. We hope that this work will promote understanding of rural schools and bring to attention the problems they are facing, which should be reflected in expanding the broadening participation effort to rural areas across the nation.
Parallelizing the Chambolle Algorithm for Performance-Optimized Mapping on FPGA Devices

The performance and the efficiency of recent computing platforms have been deeply influenced by the widespread adoption of hardware accelerators, such as graphics processing units (GPUs) or field-programmable gate arrays (FPGAs), which are often employed to support the tasks of general-purpose processors (GPPs). One of the main advantages of these accelerators over their sequential counterparts (GPPs) is their ability to perform massive parallel computation. However, to exploit this competitive edge, it is necessary to extract the parallelism from the target algorithm to be executed, which generally is a very challenging task. This concept is demonstrated, for instance, by the poor performance achieved on relevant multimedia algorithms, such as Chambolle, which is a well-known algorithm employed for the optical flow estimation. The implementations of this algorithm that can be found in the state of the art are generally based on GPUs but barely improve the performance that can be obtained with a powerful GPP. In this article, we propose a novel approach to extract the parallelism from computation-intensive multimedia algorithms, which includes an analysis of their dependency schema and an assessment of their data reuse. We then perform a thorough analysis of the Chambolle algorithm, providing a formal proof of its inner data dependencies and locality properties. Then, we exploit the considerations drawn from this analysis by proposing an architectural template that takes advantage of the fine-grained parallelism of FPGA devices. Moreover, since the proposed template can be instantiated with different parameters, we also propose a design metric, the expansion rate, to help the designer in the estimation of the efficiency and performance of the different instances, making it possible to select the right one before the implementation phase. We finally show, by means of experimental results, how the proposed analysis and parallelization approach leads to the design of efficient and high-performance FPGA-based implementations that are orders of magnitude faster than the state-of-the-art ones.
Ultrasound-guided carotid sheath block for carotid endarterectomy: a case series of the spread of injectate

Introduction We aimed to show the spread of local anesthetic following an ultrasound-guided, double-injection technique of a carotid sheath block before carotid endarterectomy. Methods The study included 15 patients scheduled for elective carotid endarterectomy. The carotid sheath block was performed after ultrasound-guided localization of the carotid bifurcation (level C4-C6) at the posterior border of the sternocleidomastoid muscle. A mix of 7.5 mL ropivacaine 0.75%, 7.5 mL prilocaine1% and 3 mL iopromidum was injected at the base of the carotid bifurcation. An additional 15 mL of the mixture was administered subcutaneously at the surgical incision line. Thirty minutes after the block, a computed tomography scan of the head, neck region and upper thorax was performed to reconstruct a 3-D distribution of the injectate. Results All patients achieved C2-C4 dermatomal sensory blockade. None required conversion to general anesthesia. The injectate spread ranged from the vertebral body of C1 to the vertebral body of T3. The mean volume of distribution was 97±13 mL, the craniocaudal spread 138±19 mm, dorsoventral 57±8 mm and coronal 53±8 mm. The mean carotid artery circumference contact was 252°±77, with four patients (27%) presenting with a ring formation (360°) around the carotid artery. Conclusions Ultrasound-guided carotid sheath block provided an extensive spread of local anesthetic. A complete ring formation of local anesthetic around the artery does not seem necessary for a successful anesthesia. The resulting nerve blockade thus appears sufficient for surgery, with minor risks compared to blind methods.
Process View of CSCW

CSCW(Computer-Supported Cooperative Work) and SPT (Software Process Technology) are two important, interrelated research areas. This paper investigates some key issues in CSCW from the SPT point of view. We present a classification and characterization of cooperative work mainly from the process point of view, propose a general process architecture supporting all kinds of cooperative work, and discuss in details three key issues in process support: Community Memory, Conflict Reduction and Solving, and Change Management. We believe that to study the CSCW topics from the SPT point of view will benefit both.
Ramanujan's Theories of Elliptic Functions to Alternative Bases-a Symbolic Excursion

Abstract Recently Berndt, Bhargava and Garvan were able to prove all of Ramanujan's results in the notebooks on his theories of elliptic functions to alternative bases. In this paper we show how we used MAPLE to understand, prove and generalize some of Ramanujan's results.
The Core Cadastral Domain Model : A Tool for the Development of Distributed and Interoperable Cadastral Systems

Peter van Oosterom and Christiaan Lemmen OTB Research Institute for Housing, Urban and Mobility Studies, Delft University of Technology, Jaffalaan 9, 2628 BX Delft, The Netherlands, Tel +31 15 2786950, Fax +31 15 2782745 Dutch Cadastre, Apeldoorn, P.O. Box 9046, 7300 GH Apeldoorn, The Netherlands, Tel. +31 55 5285695 International Institute for Geo-Information Science and Earth Observation (ITC), Hengelosestraat 99, 7514 AE Enschede, The Netherlands, Tel. +31 53 4874523, Fax + 31 53 4874575. oosterom@geo.tudelft. nl
The Mid-Infrared Luminosity Function of Galaxies in the European Large Area Infrared Space Observatory Survey Southern Fields

We present the first determination of the 15 μm luminosity function of galaxies from the European Large Area ISO Survey (ELAIS) southern fields. We have adopted a new criterion to separate the quiescent, nonevolving and the starburst, evolving populations based on the ratio of mid-infrared to optical luminosity. Strong evolution is suggested by our data for the starburst galaxy population, while normal spiral galaxies are consistent with no evolution. The starburst population must evolve both in luminosity and in density with rates of the order L(z) ∝ (1 + z)3.5 and ρ(z) ∝ (1 + z)3.8, respectively, up to z ~ 1. The evolutionary parameters of our model have been tested by comparing the model predictions with other observables, like source counts at all flux density levels (from 0.1 to 300 mJy) and redshift distributions and luminosity functions at high z (0.7 < z < 1.0 from Hubble Deep Field North [HDF-N] data). The agreement between our model predictions and the observed data is remarkably good. We use our data to estimate the star formation density of the universe up to z = 0.4, and we use the luminosity function model to predict the trend of the star formation history up to z = 1.
American Journal of Epidemiology Original Contribution Leisure Time Spent Sitting in Relation to Total Mortality in a Prospective Cohort of Us Adults

The obesity epidemic is attributed in part to reduced physical activity. Evidence supports that reducing time spent sitting, regardless of activity, may improve the metabolic consequences of obesity. Analyses were conducted in a large prospective study of US adults enrolled by the American Cancer Society to examine leisure time spent sitting and physical activity in relation to mortality. Time spent sitting and physical activity were queried by questionnaire on 53,440 men and 69,776 women who were disease free at enrollment. The authors identified 11,307 deaths in men and 7,923 deaths in women during the 14-year follow-up. After adjustment for smoking, body mass index, and other factors, time spent sitting (! 6 vs. <3 hours/day) was associated with mortality in both women Relative risks for sitting (! 6 hours/day) and physical activity (<24.5 metabolic equivalent (MET)-hours/week) combined were 1.94 (95% CI: 1.70, 2.20) for women and 1.48 (95% CI: 1.33, 1.65) for men, compared with those with the least time sitting and most activity. Associations were strongest for cardiovascular disease mortality. The time spent sitting was independently associated with total mortality, regardless of physical activity level. Public health messages should include both being physically active and reducing time spent sitting. It is now well established that the US obesity epidemic will have major public health consequences. This epidemic is attributed, at least in part, to reduced overall physical activity expenditure. It has long been recognized that physical activity has a beneficial impact on the incidence and mortality of many chronic diseases, including cardiovascu-lar disease, diabetes, stroke, and various types of cancer including colon and postmenopausal breast cancer (1–5). Dose-response relations between physical activity and improved health outcomes have been reported, and substantial evidence supports health benefits even with physical activity below recommended levels (1, 3, 6, 7). There is a growing body of evidence showing that reducing the amount of time spent sitting, regardless of the amount of physical activity, may improve the metabolic consequences of obesity (8–11). However, current public health guidelines focus largely on increasing physical activity with little or no reference to reducing time spent sitting (12–15). Numerous studies support an association with sitting time and endpoints such as obesity, type 2 diabetes, cardiovascular disease (11, 16, 17), and unhealthy dietary patterns in children and adults (18–20). However, to our knowledge, few studies have examined time spent sitting in relation to total mortality (21–23), but they were limited by sample …
Error concealment for JPEG2000 images based on orthogonal edge directed filters

We propose an error concealment algorithm for JPEG2000 image transmissions over unreliable channels. Firstly, the local principal edge information in the damaged area is detected in the spatial domain. Then the proposed orthogonal edge directed filters (OEDFs) are applied to remove the ring or ripple artifact errors due to the loss of some wavelet transform (WT) bitplane data. Two kinds of constraints in WT domain are used for rectifying the recovered WT coefficients obtained from OEDFs, namely the WT known-value constraint and the empirical statistical constraint of the WT coefficients. Finally, this filtering-and-rectifying procedure is iterated until convergent. Simulation results have shown that both objective and subjective image quality have been improved by our proposed algorithm.
Cost-Sensitive Learning for Efficient Interactive Classification

A lot of practical machine learning applications deal with interactive classification problems where trained classifiers are used to help humans find positive examples that are of interest to them. Typically, these classifiers label a large number of test examples and present the humans with a ranked list to review. The humans involved in this process are often expensive domain experts with limited time. We present an online cost-sensitive learning approach (more-like-this) that focuses on reducing the time it takes for the experts to review and label examples in interactive machine learning systems. We target the scenario where a batch classifier has been trained for a given classification task and optimize the interaction between the classifier and the domain experts who are consuming the results of this classifier. The goal is to make these experts more efficient and effective in performing their task as well as eventually improving the classifier over time. We validate our approach by applying it to the problem of detecting errors in health insurance claims and show significant reduction in labeling time while increasing the overall performance of the system.
La sociedad frente al espejo. Aproximaciones al capital social en Argentina

El siguiente articulo presenta los resultados de una primera serie de mediciones sobre algunos elementos que participan del concepto de capital social, centrandonos en la confianza interpersonal y en las instituciones, y en los atributos considerados relevantes para ser un buen ciudadano en la Argentina, realizada por el Observatorio de Capital Social de la Universidad de Palermo y de la Consultora Carlos Fara y Asociados. Mientras que los primeros resultados parecen sugerir una convergencia entre los rasgos individualistas y el descredito de las instituciones asociadas a los asuntos publicos (politica, economia), una observacion mas atenta de la positiva valoracion ciudadana que mantienen otras instituciones sociales alienta a indagar sobre las formas emergentes de lo social en relacion con la democracia.
Mobilizing Group Membership

A randomized experiment was conducted to assess the effectiveness of three forms of e-mail appeals to prospective members of a newly formed professional group. The baseline condition consisted of an impersonal appeal; prospective members were sent a mass e-mail encouraging them to join. Participants in the personal condition received an e-mail with the same content, prefaced by a personal note from the group president. Participants in the social pressure condition received a personal note that called attention to the fact that they had previously signed a petition to form the professional group and urged them to make good on their earlier pledge (i.e., signing of the petition). Personalization is found to generate strong and statistically significant treatment effects. Even stronger are the effects of social pressure.
Developing a mobile learning system to community-based learning for rural elementary school students

With the driving of experimental programs of Ministry of Education on the "e-Cainpiis", balance urban and rural digital divide" and "electronie schoolbag" in Taiwan, tbe Web sites and class blogs were set up one after another in primary school. However, all tbe experimental schools of Mobile learning or Ubiquitous learning were centralized in the urban area and a few schools, and tbe disciphne was developed to focus on tbe natural environment, plant learning and foreign language's ¡earning. By using the mobile platform learning system and handheld devices to support community-based learning for elementary school students, we want to combine the community learning issues into a cross-disciplinary integrated curriculum, and that will be able to stimulate the students' learning interest, to promote their positive learning attitude and problem-sohing ability in rural area primary school. W e selected tbe primary scbool students in Min-Hsiung. Cbia-yi County as tbe subjects of this study, This study combines REID technology with PDA device instruments to design an outdoor situated learning system, This system can help the fifth and siitb grade students of primary school use RFID Reader to access organically cultivated pineapple garden and general cultivated pineapple garden of situated learning by self-direction learning. In this study, the method of quasi-experimental research was used. Tbe pre-test and post-test were used to understand tbe learning outcomes of experimental group and control group, The pre-test of two groups have significant difference (t =−2.647. P<.01), but the post-test statistical results found the learning effectiveness between experimental group and control group bave not significant difference (r =−1.536, P>.05). Tbe learning satisfaction of experimental group students is 76% (M = 3.82, SD =.65). These results showed tbat the design of situated learning in mobile learning system can enhance the fifth and sixth grade students learn more effectively, and interest in learning.
Network structure of production

Complex social networks have received increasing attention from researchers. Recent work has focused on mechanisms that produce scale-free networks. We theoretically and empirically characterize the buyer–supplier network of the US economy and find that purely scale-free models have trouble matching key attributes of the network. We construct an alternative model that incorporates realistic features of firms’ buyer–supplier relationships and estimate the model’s parameters using microdata on firms’ self-reported customers. This alternative framework is better able to match the attributes of the actual economic network and aids in further understanding several important economic phenomena.
Upper Basic Students’ Perception of Concepts as Correlate of their Academic Achievement in Basic Science in Cross River State, Nigeria

This study examined students’ perception of concepts and their academic achievement in Basic Science in Cross River State, Nigeria. A sample of 883 Upper Basic Education III students was randomly drawn from thirty six (36) secondary schools in the three education zones of state. A questionnaire and a multiple choice test based on the eight broad concepts in the Upper Basic Science curriculum were used as instrument to obtain relevant data for the study. The data was analyzed using Pearson Product Moment Correlation analysis technique. The result of the analysis showed that students’ perception of concepts has a significant relationship with their achievement in the subject. Based on this finding, the researcher concluded that there was an indication that science learning at this level of education has challenges that make it difficult to students. Since this subject is the foundation for all science subjects at other levels of education in Nigeria, poor achievement as a result of perceived difficulty may have led to students’ general low achievement in the sciences. It was thus, recommended that measures be taken to make science interesting to students to ease any difficulty and thus, raising their achievement in science and science related subjects.