Miracle-dz/UniFAR-FTUs huggingface dataset:
The Campus Security Tracking System Based on RFID and Zigbee Network

This paper implements Intelligent tracking system for campus security. The intelligent campus security tracking system is based on wireless communication services between nodes provided by RFID sensors and ZigBee. This system identifies the RFID tags within the region to prevent thefts and track the valuables, so as to protect the property of the stake holder on the campus. This system is based on radio frequency detection and IEEE 802.15. 4 based ZigBee protocol. The tracking ability of RFID sensors and the ability of ZigBee to form a wireless sensor network have been effectively used in this paper to achieve the goal. RFID identifies the RFID tags on the Master and the slaves i.e valuables owned by the master, and then sends the sensed information to PC node through ZigBee. PC node generates corresponding warning depending on the result of match between the master and slave RFID tag information. When the warning occurs, its user can get the status of missing valuables, so the theft can be easily avoided.
Lattice-Based Remote User Authentication from Reusable Fuzzy Signature

In this paper, we introduce a new construction of latticebased reusable fuzzy signature for remote user authentication that is secure against quantum computers. We define formal security models for the proposed construction, and we prove that it can achieve user authenticity, biometrics reusability and user privacy. In particular, the proposed new construction ensures that: 1) biometrics reusability is achieved such that fuzzy signatures remain secure even when the same biometrics is reused multiple times; 2) a third party having access to the communication channel between an authorized user and the authentication server cannot identify the authorized user.
Tracking control of nonlinear systems by fuzzy model-based controller

Fuzzy controllers have been successfully applied in many cases to which conventional control algorithms are difficult to be applied. Recently, it was proven that fuzzy systems are capable of approximating any real continuous function to arbitrary accuracy. This result motivates us to use the fuzzy systems as identifiers for nonlinear dynamic systems, and then design the fuzzy controllers based on the fuzzy system. There are two main objectives in this paper. (1) We use the Takagi and Sugeno's fuzzy models (1985) as an identifier for nonlinear dynamic systems, and derive the identification algorithm. (2) The fuzzy model-based controller design method for tracking control is proposed based on this fuzzy system. Simulation results show that the identification algorithm exhibits good performance and the fuzzy model-based controllers could perform successful tracking ability.
Investor Sentiment , Foreign Equity Flows , and Equity Returns in Thailand Stock Markets

This research examines the dynamic linkages among aggregate foreign equity flows to Thailand, their equity returns, and measures of sentiment. We will explore the dynamic relationships among these variables around a variety of exogenous shocks. Furthermore, we will explore the impact of foreign investment on two different market indices: The Stock Exchange of Thailand (SET) and the Market for Alternative Investment (mai). These two indices are very different in terms of size, liquidity and foreign participation and will allow us to explore the relationship between foreign investment, returns, and sentiment in two very different market settings. Foreign equity flows have important policy implications for middle income countries and this research aims to help policy makers and investors better understand the motivations for these flows.
Investigation of Slope Stability in Gravel Soils in Unsaturated State

In this paper, we consider the stability of a slope of 10 meters in silty gravel soils with modeling in the Geostudio Software. we intend to use the parameters of the volumetric water content and suction dependent permeability and provides relationships and graphs using the parameters obtained from gradation tests and Atterberg’s limits. Also, different conditions of the soil will be investigated, including: checking the factor of safety and deformation rates and pore water pressure in drained, non-drained and unsaturated conditions, as well as the effect of reducing the water level on other parameters. For this purpose, it is assumed that the groundwater level is at a depth of 2 meters from the ground. Then, with decreasing water level, the safety factor of slope stability was investigated and it was observed that with decreasing water level, the safety factor increased. Keywords—Slope stability analysis, factor of safety, matric suction, unsaturated silty gravel soil.
Basal telencephalic regions connected with the olfactory bulb in a Madagascan hedgehog tenrec

In an attempt to gain insight into the organization and evolution of the basal forebrain, the region was analysed cytoarchitecturally, chemoarchitecturally, and hodologically in a lower placental mammal, the lesser hedgehog tenrec. Particular emphasis was laid on the subdivision of the olfactory tubercle, the nuclear complex of the diagonal band, and the cortical amygdala . The proper tubercule and the rostrolateral tubercular seam differed from each other with regard to their immunoreactivity to calbindin and calretinin, as well as their afferents from the piriform cortex. Interestingly, the tubercular seam showed similar properties to the dwarf cell compartment, located immediately adjacent to the islands of Calleja. The most prominent input to the olfactory bulb (OfB) originated from the diagonal nuclear complex. This projection was ipsilateral, whereas the bulbar afferents from the hypothalamus and the mesopontine tegmentum were bilateral. The amygdala projected only sparsely to the OfB, but received a prominent bulbar projection. An exception was the nucleus of the lateral olfactory tract, which was poorly connected with the OfB. Unlike other species with an accessory OfB, the projections from the tenrec's main OfB did not show a topographic organization upon the lateral and medial olfactory amygdala. However, there was an accessory amygdala, which could be differentiated from the lateral nuclei by its intense reaction to NADPh‐diaphorase. This reaction was poor in the diagonal nuclear complex as in monkey but unlike in rat. The variability of cell populations and olfactory bulb connections shown here may help to clarify both phylogenetic relationships and the significance of individual basal telencephalic subdivisions. J. Comp. Neurol. 423:706–726, 2000. © 2000 Wiley‐Liss, Inc.
N A ] 2 M ar 2 01 9 Uniform in time error estimates for a finite element method applied to a downscaling data assimilation algorithm for the Navier – Stokes equations

In this paper we analyze a finite element method applied to a continuous downscaling data assimilation algorithm for the numerical approximation of the two and three dimensional Navier-Stokes equations corresponding to given measurements on a coarse spatial scale. For representing the coarse mesh measurements we consider different types of interpolation operators including a Lagrange interpolant. We obtain uniform-in-time estimates for the error between a finite element approximation and the reference solution corresponding to the coarse mesh measurements. We consider both the case of a plain Galerkin method and a Galerkin method with grad-div stabilization. For the stabilized method we prove error bounds in which the constants do not depend on inverse powers of the viscosity. Some numerical experiments illustrate the theoretical results.
The Foreign Students ‟ Intercultural Communicative Experiences

This study analyzed and explored the lived experiences of the foreign students in the higher education in their intercultural communications. Employing Hursserlian qualitative design in phenomenological studies and Colaizzi’s 7 steps in data analysis, this study made use of in-depth interview to extract quality data. The foreign students who were the informants of the study have shared candidly their sojourn in the Philippines as regular college students in Southwestern UniversityPHINMA. Generally, their over-all experiences during their pre and actual sojourn were more on their acknowledgement of cultural differences, adjustments and understanding and how they have coped with the challenges of being in a foreign land especially in terms of expression and communication. Thus, the study came up with 3 significant themes: (1) I love it here, (2) I adjust to cultural differences, and (3) I am never the same person. Based on the data and the organized themes, three propositions were formulated (1) Positive environment leads to ease in communication, (2) Adapting to different cultures requires space and time, and (3) Personal transformations entail motivation, determination and improved perspectives and value of self.
Space-Time Signal Processing for DS-CDMA Communication System

Wireless cellular communication is one of the largest markets in the world and it is still growing rapidly. Currently, the cellular communication system is moving toward high date rate transmission and high spectrum efficiency. An attractive approach is the CDMA technology. However, the capacity of a CDMA cellular system is limited by two phenomena, namely Multiuser Access Interference(MAI) and near- far problem. Lots of researches have been conducted to tackle these problems. Interference suppression techniques such as adaptive antenna arrays and multiuser detection (MUD) have been investigated to overcome such problems. Adaptive antenna array has a spatial filtering property, which makes it possible to receive signal from a particular direction while simultaneously blocking interferences from other direction. Thus, adaptive antenna array is a very promising solution to reduce MAI in the CDMA communication system. The research presented in this monograph is on the development of advanced receiver algorithms with antenna arrays for DS-CDMA communication system.
Pedestrians Detection and Part-Based Tracking by Adaptive Segmentation, Neural Network and Kalman Filter

Abstract In this paper authors have proposed a robust pedestrian tracking algorithm for stationary surveillance videos by combining the multiple adaptive segmentation, computationally efficient feature set, Neural Network and Kalman Filter. In the proposed method, human detection has been performed by the use of an adaptive moving average background model with supportive secondary model, which accurately works in changing environment. The parts-based human model has been used with novel and robust feature set for efficient parts-based human recognition. These features are concise, invariant to pose changes and deformation. Pedestrian recognition has been performed by neural network. Visual tracking has been performed by well known Kalman Filter to estimate the target pedestrian position in each next frame. The algorithm is tested on different surveillance videos and results show that proposed pedestrian recognition and tracking method is robust and efficient than similar work done earlier.
Individual Differences in Sensitivity to Privacy Violations Following Targeted Advertising

In an increasingly cyber driven marketplace, in which web-based advertising efforts are critical to advertiser-consumer interface, targeted advertising (TA) has been dubbed the “future of advertising,” serving as one of the most important means of reaching targeted audiences (Boerman, Kruikemeier, and Borgesius, 2017). Firms using TA are estimated to potentially enjoy 5-6 percent higher productivity and profit gains than those that do not (Biesdorf, Court, and Willmott 2013; Martin, Borah, and Palmatier 2017). Approximately $36 billion are being allocated annually to the collection of personal data (Martin, Borah, and Palmatier 2017), of which a projected $2.6 billion is specific to targeted advertising efforts (Tam, Yan, and Ho 2006), to ensure consumers access relevant content whilst mitigating search costs (Chen and Stalleart 2010). TA is very valuable in creating top-of-mind-awareness, increasing content evaluations and reviews, and most importantly, increasing the probability the ad results in purchases (Aguirre et al. 2015; Tam, Yan, and Ho 2006). The key benefit provided by TA is the ability of the marketer to personalize the communication efforts and target audiences more precisely. Consumers also benefit from TA as they enjoy the convenience (Ansari, Asim, and Mela 2003) of more accurate preference matching (Vesanen 2007) and reduced cognitive overload (Ansari, Asim, and Mela 2003) resulting in higher satisfaction (Rust and Chung 2006) and higher loyalty (Ansari, Asim, and Mela 2003).
Lessons Learned in Developing Cost Estimating Relationships

Typically, cost estimating models are probabilistic in nature as their objectives are to make statements about uncertain costs in the future. The uncertain item in the estimate can be viewed as a random variable and it is desirable to estimate certain aspects of the conditional distribution of the variable. A cost estimating relationship (CER) aims to describe the relationships between the dependent variable and cost variables or drivers while a correlation coefficient between cost variables measures their dependence. CERs are essential to develop a probabilistic cost estimating model. This paper will show how CERs can be developed and validated visually and interactively by using linear regression analysis techniques from cost data sets. In addition, lessons learned in analyzing cost data sets for cost estimating relations will be shared. 2016 AACE® INTERNATIONAL TECHNICAL PAPER EST.2258. 2 Copyright © AACE® International. This paper may not be reproduced or republished without expressed written consent from AACE® International Table of
Complexity evaluation of CNNs in tightly coupled hybrid recommender systems

In this report we evaluated how the complexity of a Convolutional Neural Network (CNN), in terms of number of filters, size of filters and dropout, affects the performance on the rating prediction accuracy in a tightly coupled hybrid recommender system. We also evaluated the effect on the rating prediction accuracy for pretrained CNNs in comparison to non-pretrained CNNs. We found that a less complex model, i.e. smaller filters and less number of filters, showed trends of better performance. Less regularization, in terms of dropout, had trends of better performance for the less complex models. Regarding the comparison of the pretrained models and non-pretrained models the experimental results were almost identical for the two denser datasets while pretraining had slightly worse performance on the sparsest dataset.
Cross-Scale Air-Sea Interaction in the Tropics Related to the MJO

This article discusses two examples of cross-scale air-sea interaction in the tropics involving the MaddenJulian Oscillation (MJO, Madden and Julian 1972). Figure 1 sketches these two examples. In addition to inducing intraseasonal perturbations in sea surface temperature (SST), the MJO also interacts with the diurnal cycle in SST and atmospheric moist convection, as illustrated in the left part of Fig. 1, and with El Nino – Southern Oscillation (ENSO), illustrated in the right part of Fig. 1. Detailed processes in these two examples are discussed in sections 2 and 3, respectively. Conclusion remarks are given in section 4. For other discussions on the subject of air-sea interaction involving the MJO and phenomena of other scales, see reviews by Hendon, Kessler, and Lau in Lau and Waliser (2005) and by Zhang (2005).
A desktop system of virtual morphometric globes for Mars and the Moon

Global morphometric models can be useful for earth and planetary studies. Virtual globes — programs implementing interactive three-dimensional (3D) models of planets — are increasingly used in geoand planetary sciences. We describe the development of a desktop system of virtual morphometric globes for Mars and the Moon. As the initial data, we used 15'-gridded global digital elevation models (DEMs) extracted from the Mars Orbiter Laser Altimeter (MOLA) and the Lunar Orbiter Laser Altimeter (LOLA) gridded archives. For two celestial bodies, we derived global digital models of several morphometric attributes, such as horizontal curvature, vertical curvature, minimal curvature, maximal curvature, and catchment area. To develop the system, we used Blender, the free open-source software for 3D modeling and visualization. First, a 3D sphere model was generated. Second, the global morphometric maps were imposed to the sphere surface as textures. Finally, the real-time 3D graphics Blender engine was used to implement rotation and zooming of the globes. The testing of the developed system demonstrated its good performance. Morphometric globes clearly represent peculiarities of planetary topography, according to the physical and mathematical sense of a particular morphometric variable.
Assessing Inflation Persistence in Brazil using Disaggregate Data

We estimate the degree of persistence of the Brazilian Consumer Price Index, IPCA, at different levels of aggregation. Using several methods, we address the relationship between aggregate persistence and persistence of aggregation and we measure the degree of persistence over time using monthly IPCA from August 1999 to July 2017. Overall, our results point to significant aggregation bias and a decline in inflation persistence in recent years, consistent with the maturity of inflation targeting. Additionally, the persistence estimates allow us to construct a novel and competitive measure of core inflation for Brazil.
APPLICATION OF BIAS ADJUSTMENT TECHNIQUES TO THE ETA-CMAQ AIR QUALITY FORECAST

Atmospheric Sciences Modeling Division, Air Resources Laboratory, National Oceanic and Atmospheric Administration, RTP, NC 27711 On assignment to National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711 $ On assignment from Science and Technology Corporation, 10 Basil Sawyer Drive, Hampton, VA 23666-1393 e-mail: kang.daiwen@epa.gov Voice (919) 541-2460 Fax (919) 541-1379
Hearing Artificial Intelligence: Sonification Guidelines & Results From a Case-study in Melanoma Diagnosis

The applications of artiﬁcial intelligence are becoming more and more prevalent in everyday life. Although many AI systems can operate autonomously, their goal is often assisting humans. Knowledge from the AI system must somehow be perceptualized. Towards this goal, we present a case-study in the application of data-driven non-speech audio for melanoma diagnosis. A physician photographs a suspicious skin lesion, triggering a soniﬁcation of the system’s penultimate classiﬁcation layer. We iterated on soniﬁcation strategies and coalesced around designs representing three general approaches. We tested each in a group of novice listeners (n=7) for mean sensitivity, speciﬁcity, and learning effects. The mean accuracy was greatest for a simple model, but a trained dermatologist preferred a perceptually compressed model of the full classiﬁcation layer. We discovered that training the AI on soniﬁcations from this model improved accuracy further. We argue for perceptual compression as a general technique and for a comprehensible number of simultaneous streams.
Seminarios de diabetes Euglycemic hyperinsulinemic clamp

Insulin is the principal hormone of glucose metabolic regulation. Reduced glucose responses to insulin constitute an underlying feature of type 2 diabetes. In addition, insulin resistance is a common condition related with the metabolic syndrome and strongly associated with an increased risk of cardiovascular disease. The importance of the insulin-resistant phenotype for the assessment of cardiovascular risk and response to intervention is increasingly being recognized. Therefore, there is a need for an accurate and reproducible method for measuring insulin resistance in vivo. The euglycemic hyperinsulinemic clamp (EHC) is currently the gold standard method available for the determination of whole glucose uptake in response to insulin, from which several derived indices of insulin sensitivity are obtained. The clamp technique is both expensive and complex to undertake and has prompted the use of surrogate methods, notably the insulin tolerance test and frequently sampled intravenous glucose tolerance test. Indices may be derived from these methods and correlate well with those derived from clamp studies. However, important limitations of these procedures are that not only does insulin sensitivity change in pathological situations, but also in normal physiology. Variations also occur in time–depending on the physiological state of the individual or following diurnal rhythms. In conclusion, the quantitative assessment of insulin sensitivity with EHC is not used for routine clinical purposes, but the emerging importance of insulin resistance has led to its wider application to research studies that have examined its pathogenesis, etiology and consequences.
ETHICAL ASPECTS OF PATENTING INVENTIONS INVOLVING HUMAN STEM CELLS

Having regard to the Treaty on European Union as amended by the Treaty of Amsterdam, and in particular Article 6 (formerly Article F) of the common provisions, concerning the respect for fundamental rights, Article 95C (formerly Article 100A) on the approximation of Law, Article 152 (formerly Art. 129) on public health, Article 157 (formerly Art. 130) on Industry, and Article 163 (formerly Art. 130F) on Research and Technological Development;
Source , Simple , Concurrent Simulator for Education and Research

In engineering education and training, it is desirable that students develop their own simulators, or inspect the source code, modify it, and design their own functionality based on an existing simulator. Existing commercial and open-source simulator software are not always appropriate for this purpose, given their complexity or their closed-source nature. We propose a simulator that is simple enough to be used for this purpose, while offering powerful features (such as concurrent computation and graphical user interfaces) that make it adequate also for more advanced research work. Keywords–Modeling, Computer Simulation, Parallel Processing, Educational Technology
The treatment of Basic Oxygen Furnace ( BOF ) slag with concentrated solar energy

Basic Oxygen Furnace (BOF) slag is one of the sub-products generated in the steelmaking process. This waste is characterized by its free lime and free magnesia contents that limit its application in construction. Moreover, the iron content in BOF slag of 14–30 wt% is a quantity which is problematic in the manufacture of cements. On the other hand, BOF slag is a source of available iron in the steelmaking industry. Concentrated solar energy offers a great potential in high temperature applications, so we used it to treat BOF slag. In this way, the slag was treated to stabilize it combining the free lime and free magnesia to give other phases (silicates, aluminates, and complex oxides), but also to transform iron into a magnetic phase that could be recovered through magnetic methods. The results demonstrate that the free lime and free magnesia reacted with silicates, aluminates, and ferrites to form stable phases which are not hydrated in the presence of water. Due to this, the treated BOF slag might find application in the construction industry. Furthermore, the iron was transformed into magnetite/maghemite, i.e. phases with magnetic properties.
A Digital Filter for Electrical Drive with Elastic Shaft

In the paper analytically is constructed digital filter for DC-electrical drive with elastic junctions. It could be realized with two discrete integrators and five operational amplifiers. The filter would be insert sequentially on the output of the speed’s regulator. As results transient processes similar to transients of dc-electric drive with rigid mechanical shaft are obtained.