Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of Face Detection System Based on ZYNQ FPGA

Adaboost algorithm based on Haar-like feature and integral image is made up of cascaded classifier, and the computation is very large. This paper uses the hardware and software co-design for implementing the face detection system on Zynq-7000.And realizes the functions of video acquisition, processing, real-time detection and display, and designs the hardware acceleration module of the integral image. At the same time, it improves the detection speed of the system by using dual-core operation, and the detection speed of the system is obviously improved compared with the pure software solution. This design is verified on ZedBoard. It can work with high resolution stream for real-time face detection. Introduction In recent years, the issue of information security has received more and more attention. The traditional identification technology can’t meet the requirements of modern Society. As one of the methods of biometric recognition, face detection is a key step in human face detection. But its speed has been relatively slow until P. Viola and Jones proposed the cascade algorithm AdaBoost in year 2001 [1]. AdaBoost is the turning point of face detection technology, which makes the detection speed and detection rate improve at the same time. Most of the traditional face detection systems are based on PC platform or DSP processor, but these two schemes are relatively poor in portability and cost. T.Theocharides proposed hardware architecture based on array-based algorithms [2], but the architecture requires a lot of hardware resources. In 2008, Shi Yuehua and others proposed a software and hardware co-design, using the pipeline structure to further improve the detection rate [3]. This design is based on ZYNQ platform of ARM + FPGA architecture with hardware and software co-design to achieve the face detection system [4]. We design a parallel hardware architecture based on the proposed method to accelerate the calculation of integral image. And the image preprocessing module is implementation with hardware; In addition, using the multi-core structure of ARM to further improve the speed of face detection. AdaBoost Algorithm This design uses the face detection cascade algorithm based on AdaBoost leaner using Haar-like features and integral image. The algorithm uses a training set to train a series of optimal weak classifiers. Then the strong classifier is obtained by combining the optimal weak classifier. Finally, the strong classifier is cascaded to obtain the face detector [5]. The Haar-like feature is a set of rectangular patterns. The result of a feature is the sum of the pixels under the white rectangle minus the sum of the pixels underthe black rectangle. Fig. 1 (a) shows several typical Haar-like features. 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016) Copyright © 2016, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Intelligent Systems Research, volume 130
Towards Constructing a Dynamic Model of Economics for Investigating Investment and Production in Bangladesh

The main objective of this paper is to investigate how the per capita GDP growth rate reaches near about 7%. Bangladesh is treated asa role model of development. This is why it is analyzed in this article the relationship between gross domestic product and investments and proven on the basis of econometric models. Model of GDP determination is built on the basis of Solow model with the help of Cobb-Douglas production function. In order to calculate the effectiveness of attracting more investment into production in Bangladesh a dynamic econometric model constructed using Solow model. This model is estimated by OLS method for Bangladesh. The model shows a production function with decreasing return to scale. Despite this fact per capita GDP growth rate is near about 7%. It isthe constant or efficiency factor which is very high, it is 18.53. This is why the per capita growth rate is near about 7%. This is why Bangladesh reaches a lower middle income country and by 2041 it is likely to be a rich country.
Effents of wilted grass silages varying in fermentation quality on rumen fermentation of dairy cows

Four wilted grass silages (dry matter 280 g kg-1) varying in fermentation type were fed to rumen fi stulated dairy cows to study the effect of silages on rumen fermentation. All additive treatments improved silage quality compared to untreated silage. Formic acid treated, restrictively fermented silage resulted in increased proportion of acetate, while the silages treated with Lactobacillus plantarum increased proportion of propionate of rumen volatile fatty acids.
Effect Study of Organizational Social Capital on Corruption (A Comparative Study of Municipal Employees and Education, in Tehran and Isfahan City)

Social capital, in recent years in various fields of social sciences, economics and political science has been proposed recently. And new ways to solve social and economic problems stemming opened, one of the issues that seem, social capital plays an essential role in the prevention and control of corruption, the aim of this paper is to evaluate the efficiency organizations, to examine the influence of social capital and social capital, the corruption is. Accordingly, variables and assumptions, views and Ghoshal Nahapyt, have been deduced. In terms of this study, a survey into account. In this study, samples were selected through multistage cluster sampling was conducted, and the sample size to 441 employees and municipal employees, and fostering education in Tehran and Isfahan, which are, according to research, our respondents are employees who, for more than a year has passed since their activities. Analysis of data in two levels (descriptive statistics and inferential statistics) was performed. The results showed that variables such as: cognitive aspects of social capital, Social Capital and the structural dimension of social capital, have a significant relationship with corruption. The overall result is that, corruption in the municipality of Tehran, more than three organizations is examined. And the general functions of social capital can promote group activity, increased trust among members, transparent flow of information, increase honesty and integrity among our members, improve the management group performance, increase creativity and innovation, organizational commitment, and reduce microprocessor control and monitoring systems are circular and lead.
HyREX at INEX 2003

Abstract: In this paper, we describe two new approaches for processing INEX queries. For CO queries, we adopt Amati’s divergence from randomness approach (aka language model) and extend it by an additional factor for considering the hierarchical level of the element to be retrieved. For CAS queries, we investigate several mappings from INEX queries to our query language XIRQL, where we tried to introduce different degrees of vagueness. Both approaches yield good retrieval results, but still leave room for improvement. In this paper, we describe two new approaches for processing INEX queries. For CO queries, we adopt Amati’s divergence from randomness approach (aka language model) and extend it by an additional factor for considering the hierarchical level of the element to be retrieved. For CAS queries, we investigate several mappings from INEX queries to our query language XIRQL, where we tried to introduce different degrees of vagueness. Both approaches yield good retrieval results, but still leave room for improvement.
Use Model-Predictive Control to Improve Distillation Operations

CEP January 2008 www.aiche. org/cep 35 I magine an equipment investment with a payback time of only 10 days. A major petroleum refiner experienced just that when it implemented linear multivariable model-predictive control (MPC) on its cat-cracker. Using a linear programming optimizer, the MPC determined the unit’s optimal constraints, and then moved the unit close to those limits over a few days. Although this is an extreme example, it is generally accepted that MPC can add significant value when coupled with an optimizer that drives the plant to maximum profitability, with typical paybacks of two years or less. Model-predictive control has been practiced commercially for well over 25 years, and many papers have been published on the theory and practice of MPC (e.g., 1, 2). This article summarizes what has been learned in the art of implementing MPC on large-scale fractionation plants, using first-principles steady-state and dynamic simulation methods to enhance the quality of the MPC models, and it recommends a procedure that avoids the need for step testing, which is often difficult and expensive. Traditionally, implementing model-predictive controllers in the process industries has required the creation of a fixed, linear, dynamic model that relates changes in each input to each output. The vast majority of projects described in the literature have been executed using extensive step tests to develop such linearized control models, using processmodel identification techniques (3). Because such deliberate step tests can be quite costly, disruptive, invasive and lengthy in duration (often lasting many weeks or months in a large unit), a significant incentive exists to minimize step tests, if not eliminate them entirely. However, the importance of a reliable and predictable base-level regulatory-control scheme cannot be overemphasized. In numerous instances, a poor regulatory control configuration in a distillation column has jeopardized the viability of any MPC control scheme.
Documenting Paiwan Phonology: Issues in Segments and Non-Stress Prosodic Features

The paper addresses two issues in documenting Paiwan phonology and presents empirical analyses of this indigenous language. The empirical analyses of segments support the argument that acoustic variables play a part in the documentation of stop consonants. The variation of VOTs should be taken into account in the documentation of phonemes. Accent in second person pronouns and address forms represents not only the linguistic features of the language but also the cognitive space of the Paiwan speakers. Empirical studies are needed to verify the phonetic variation and phonological representations in a speech community with varieties. The documentation of Paiwan phonology cannot be accomplished without the examination of variations among the dialects.
A Multiband Frequency Reconfigurable Rotated-L Slot Antenna

A multiband frequency reconfigurable rotated-L slot antenna is presented. The antenna is switchable between 4.61-6.20 GHz at nine different frequencies and capable to operates multi frequency at a time. The proposed antenna has a microstrip patch and two rotated-L slots, one slot is at patch and other is at ground plane. The two p-i-n diode is used in the ground plane rotated-L slot to achieve multi frequency agility. Results such as return losses, radiation patterns, gain and bandwidth are used to demonstrate the performance of the proposed antenna.
Obesity and Surgical Treatment – A Cost-Effectiveness Assessment for Sweden

The rising trend in the prevalence of obesity has become a major public health concern in many countries during the past decades, partly because being obese is associated with comorbidities and death. The cost of treatment for obesity related diseases has become a heavy burden on the national health care budget in many countries. The treatment options for obesity are mainly weight management therapies in the form of diet and exercise, pharmacological therapy, and surgery. The incidence of bariatric surgery in Sweden has increased eight-fold in the last decade. Our objective was to assess the cost-effectiveness of gastric bypass surgical treatments for obesity in adult patients, in comparison with conventional treatment, in Sweden from a societal perspective. The conventional treatment alternative consisted of the prevalent mixture of non-surgical obesity treatments. A model of individual patients was used to simulate the outcomes of the patients in terms of treatment costs, indirect costs, life years, and quality adjusted life years (QALY) over a lifetime perspective. In patients with a Body Mass Index of 40-44 kg/m2, surgery was estimated to be cost-saving in men and judged cost-effective in women, with an incremental cost per QALY gained of SEK 26 thousand (EUR 3 thousand). The incremental cost associated with gastric bypass decreases with BMI, increases with the patient's age, and is higher in women than in men. Taking patient characteristics and uncertainty in input data and model design into account, the incremental cost is estimated to be at most SEK 160 thousand per QALY gained (about EUR 18 thousand per QALY). In conclusion, gastric bypass surgery appears to be a cost-effective intervention compared to conventional treatment in adult persons with obesity in Sweden. (Less)
Effects of welfare reform and the state children’s health insurance program on medicaid and total health expenditures

Medicaid expenditures account for a sizeable proportion of U.S. GDP - $360.3 billion in 2009 or 2.55 percent of GDP. Despite this, the Affordable Care Act of 2010 (i.e. the new Obama healthcare initiative) further expands eligibility criteria for the Medicaid program. However, there is little literature on the effect on healthcare spending from earlier expansions of Medicaid such as the introduction of the SCHIP program. Moreover, the effect of welfare reform (i.e. Personal Responsibility and Work Opportunity Reconciliation Act of 1996) on Medicaid spending has received little attention. Using panel data from all 50 U.S. states for the period 1990-2004, we find that adding one person to the SCHIP rolls in a state that has established an SCHIP program in Medicaid raises real Medicaid spending about $4,100. However, we find evidence that additional SCHIP enrollments also affect non-Medicaid health spending. Thus, the total costs of insuring these patients are significantly higher (about $7,700). For states that have established Medicaid-combined programs, adding one person to the SCHIP rolls raises real healthcare spending about $1,800 after two years. Finally, we find that welfare reform reduced annual Medicaid expenditures by about $1.2 billion and total healthcare spending by about $2.5 billion.
About the role of monetary aggregates for monetary policy: the case of Peru

The purpose of this paper is to analyze the relevance of monetary aggregates for monetary policy as indicators of real activity. The main hypothesis of this paper is that narrow monetary aggregates can help forecasting real output. The empirical analysis combines the time scale decomposition of time series using wavelets and the possible existence of cointegrating relationships between money, output and prices. Using recent Peruvian data, evidence is found to support the proposed hypothesis. In particular, the results suggest the existence of co-integration between non-stationary series built using wavelet filtering. In this context, exogeneity tests reveal that narrow monetary aggregates are weakly and strongly exogenous; i.e., they are helpful for forecasting real output. These results suggest that money has a role for monetary policy as an indicador of real activity.
Assessing the economic values of exotic invasive plants on areas of conservation significance in Queensland

Exotic invasive plants can threaten the integrity and biodiversity of a forest ecosystem by altering the composition and structure of native forest communities. Areas of high conservation significance are often impacted by exotic plant species as plant matter is transported from already affected habitat, often as a result of human activities. This study, a first in Queensland, assessed the economic value placed by the population on the importance of controlling exotic plants, such as Lantana and Singapore Daisy, on areas of high conservation significance. The outcome provides valuable input to informed decision making with respect to appropriate control measures and priorities.
Gravitational Force between the Black Hole & Light Particle in AGN

In this research paper, we have used the formula for gravitational force acting between the black hole and light particle passing near the radius of event horizon of black holes (Mahto et al. 2013) to calculate their values for different test of black holes existing in Active Galactic Nuclei (AGN) and compared with that of the black holes in XRBs.
Corporate Social Responsibility Program Toward Sustainability Crude Palm Oil Industry Using Analytic Hierarchy Process

During the last few decades, particularly in Indonesia, most business firms are expected to proactively take part in supporting the basic needs of society and developing environment. In responding to this expectations and pressure business firms have adopted a set of program call Corporate Social responsibility (CSR). Social and environmental problems are so big, generally, such that the firms may face difficulties in finding solutions effectively and efficiently. The consequence is the firms may only waste their shareholders resources. The business firm considered in this paper is crude palm oil (CPO) industry. The research was conducted in some villages in Riau province of Indonesia in which there are several palm oil mills. A set of activities program of CSR was formulated to meet the expectations of the society toward sustainable CPO industry . We use Analytic Hierarchy Process (AHP) to find the priority of the program. The Social Aspect has come out as the most need for the society rather than the Economic Aspect.
Unraveling the complexity of the organizational adoption of electronic procurement : A direction for future research

This paper describes directions for future research to study the organizational adoption of electronic procurement (EP). An extensive exploratory study of EP adoption is taken as a starting point. In this study issues were identified that influence individual level adoption across different roles and phases in an organizational change process. An extension is proposed to this exploration of issues in order to develop insights in the way that management can effectively intervene in the organizational adoption process of EP. Specific topics that are addressed in this extension are the derivation of interventions from issues, dealing with roles, change phases, the link between individual and organizational level, different EP types and industries. Finally, some closing remarks are made.
Bayesian Model-building in Phylogenetics

DNA sequencing costs have decreased dramatically over recent decades, resulting in a ﬂood of phylogenetic information available to researchers. While it is often assumed that additional data will lead to more accurate conclusions, it also raises a number of problems for phylogeneticists, including mundane computational issues such as data management and complex statistical problems such as obtaining a single species tree from multiple conﬂicting gene trees. Developing new methods to make better use of existing data and probe the causes of conﬂicting signal will be necessary to conﬁdently resolve phylogenies in the genomic era. Here, we examine two current problems in statistical phylogenetics and attempt to address them in a Bayesian framework. The ﬁrst problem involves inﬂated tree lengths in Bayesian phylogenies, which can be an order of magnitude longer than maximum likelihood estimates. We developed EmpPrior, a program which queries TreeBASE for datasets similar to the focal data, then estimates parameters from each dataset to inform priors on the focal data. This approach greatly improves the tree length credible intervals in four exemplar datasets and, when combined with other approaches such as the use of a compound Dirichlet prior on tree length, can nearly eliminate the problem of inﬂated trees. The second problem involves incongruence between morphological and molecular phylogenies in squamates. Here, we use posterior prediction with inferential test statistics to investigate whether systematic error may be biasing inference in the molecular data. While we detected some model violation in most of the 44 genes, the genes with the most model violation were more distant from the molecular phylogeny. This suggests that model violation is not a major source of error
Evolution of the magnetotail energetic‐electron population during high‐speed‐stream‐driven storms: Evidence for the leakage of the outer electron radiation belt into the Earth's magnetotail

For 15 high-speed-stream-driven geomagnetic activations (weak storms) in 2006-2007, the temporal behaviors of the outer electron radiation belt at geosynchronous orbit and the energetic-electron population of the magnetotail are compared via superposed-epoch averaging of data. The magnetotail measurements are obtained by using GPS-orbit measurements that magnetically map out into the magnetotail. Four temporal phases of high-speed-stream-driven storms are studied: (1) the pre-storm density decay of the electron-radiation belt, (2) the electron-radiation-belt density dropout near the time of storm onset, (3) the rapid density recovery a few hours after dropout, and (4) the heating of the electron radiation belt during the high-speed-stream-driven geomagnetic activity. In all four phases the behaviors of the outer electron radiation belt and of the energetic-electron population in the magnetotail are the same and simultaneous. The physical explanations for the behavior in phase 1 (decay), phase 2 (dropout), and phase 4 (heating) lie in the dipolar regions of the magnetosphere: hence for those three phases it is concluded that the temporal behavior of the energetic-electron population in the magnetotail mimics the behavior of the outer electron radiation belt. Behavior attributable to physical processes in the dipole is seen in the magnetotail energetic-electron population: this implies that the origin of the energetic-electron population of the magnetotail is "leakage" or "outward evaporation" from the outer electron radiation belt in the dipolar magnetosphere.
Study on the Distribution of Networked Devices’ Clock Skew

Clock skews of devices on the Internet are viewed as one way delay noise, but their distribution is unknown. We explore the distribution of clock skews to see the conflict probability. In this paper, we introduce an accurate clock skew estimation algorithm to filter inaccurate clock skew estimation by comparing the results between linear programming method and least square fitting. Delay jitter and other noises affect the estimation result. When the difference of two methods is large, the estimation result is unstable and inaccurate, so the estimation result should be dropped. Based on this algorithm, we use traces of real Internet measurements to collect 1825 accurate clock skews of different devices to establish a fingerprint database. Furthermore, we show the distribution of clock skews and comparing conflict probability with different number of devices. The distribution shows that clock skews are diverse, and most of clock skews are in the region of [-100, 100] PPM. The results indicate that when the number of devices is small (<5), clock skews won’t be conflict with each other, so clock skews are good tools to detect faked devices or NAT; When the number of devices increases, the conflict probability increases linearly, so clock skews of different devices can not distinguish each devices effectively.