Miracle-dz/UniFAR-FTUs huggingface dataset:
A novel pedestrian classification algorithm for a high definition dual camera 360 degrees surveillance system

In this paper a novel integrated multi-camera video-sensor (panoramic scene analysis - PSA) system is proposed for surveillance applications. In the proposed set-up, an omnidirectional imaging device is used in conjunction with a pan, tilt, zoom (PTZ) camera. In particular, the catadioptric sensor is calibrated and used in order to track and classify every single moving object within its 360-degree field of view. Classification is achieved by an innovative algorithm taking advantages from polar image and pedestrian geometrical properties. This approach greatly simplifies classification procedures and enhances target detection and locating system capabilities.
Bacterial Foraging Optimization Algorithm for neural network learning enhancement

Backpropagation algorithm is widely used to solve many real-world problems, using the concept of Multilayer Perceptron. However, main disadvantages of Backpropagation are the convergence rate of it being relatively slow, and it is often trapped in the local minima. To solve this problem, it is found in the literatures, an evolutionary algorithm such as Particle Swarm Optimization algorithm is applied in feedforward neural network to optimize the learning process in terms of convergence rate and classification accuracy but this process needs longer training time. Hence to provide an alternative solution this study introduced, Bacterial Foraging Optimization Algorithm to be utilized in feedforward neural network to enhance the learning process and improve its convergence rate and classification accuracy. The developed Bacterial Foraging Optimization Algorithm Feedforward Neural Network (BFOANN) is compared against Particle Swarm Optimization Feedforward Neural Network (PSONN). The results show that BFOANN outperforms PSONN with better convergence rate and classification accuracy.
Kondisi Stres Akademik Siswa SMA Negeri di Kota Padang

This research conduct base from increasing the National Examination standards from recent years, and overload student’s learning activity in Senior High School (SMA). These conditions as triggers stress students, from a long time, its influence on their learning. Based that, the research is to identify level of student academic stress, and differences base gender, and school location. This research use Cluster Random Sampling. Samples are grouped into 3 (three), that’s school is located in downtown, midtown and the Suburbs. Research findings show that there are 15% of student’s stress academic at low levels of, 71,8% experiencing stress academic at medium level, and 13.2% of students experiencing stress academic at high level. There was no significant difference between the academic stress Student SMAN in Padang by location and gender. These research findings can then be an important basic need for guidance and counseling services in order to decrease the level of stress of academic students in Padang city, so that they can learn by making every effort that is optimal.
Energy-Efficient Routing Research for WSN

Recently, wireless sensor network which consists of a large number of small sensors with low-power transceivers has become one of the most popular topics since it can be deployed in many harsh environments without need of communication infrastructures and the attendance of any men. In general, the routing problem in this kind of network is the major concern. For the energy-limited characteristic of the sensor network, energy-inefficient routing is harmful for the lifetime of the whole network. In this paper, the well-known LEACH protocol is analyzed and a simple energy-efficient method named Integrated-LEACH is proposed. The simulation results show us that this kind of method can extend the lifetime of the network effectively and efficiently.
Visibility of old supernova remnants in H i 21‐cm emission line

We estimate the number of old, radiative supernova remnants (SNRs) detectable in H i 21-cm emission line in the Galaxy. We assume that old SNRs consist of expanding H i shells and that they are visible if the line-of-sight velocities are sufficiently outside the velocity range of the Galactic background H i emission. This criterion of visibility makes it possible to calculate the background contamination and to make a comparison with observation. The Galactic disc in our model is filled with atomic gas of moderate (∼0.1 cm−3) density representing the warm neutral interstellar medium. We assume that only Type Ia supernovae produce isolated SNRs with expanding H i shells, or ‘H i SNRs’. According to our result, the contamination due to the Galactic background H i emission limits the number of visible SNRs to ≃270, or ≃9 per cent of the total H i SNRs. They are concentrated along the loci of tangential points. The telescope sensitivity further limits the number. We compare the result with observations to find that the observed number (≤25) of H i SNRs is much less than expected. A plausible explanation is that previous observational studies, which were made towards the SNRs identified mostly in radio continuum, missed most of the H i SNRs because they are too faint to be visible in radio continuum. We propose that the faint, extended H i 21-cm emission line wings protruding from the Galactic background H i emission in large-scale (l, v) diagrams could be possible candidates for H i SNRs, although our preliminary result shows that their number is considerably less than expected in the inner Galaxy. We conclude that a possible explanation for the small number of H i SNRs in the inner Galaxy is that the interstellar space there is largely filled with a very tenuous gas as in the three-phase interstellar medium (ISM) model, not with the warm neutral medium of moderate density.
Community-affinity: Measuring strength of memberships of nodes in network communities

Detecting community structure in networks has been a widely studied area. While most of the methods produce an exclusive membership of the nodes, the nodes in real-world networks tend to partially belong to more than one community. In this thesis, we study some methods that have been used to quantify the strength of memberships of nodes in diﬀerent communities (or community-aﬃnity , as we call it) and also deﬁne three of our own methods. Our ﬁrst method is based on personalized PageRanks of the nodes, the second is based on the individual contribution of nodes to the modularity of the graph, and the last is based on the common neighborhood between two nodes. We ﬁrst discuss diﬀerent notions of community-aﬃnity, each of which is followed by formulations that capture that notion. We then discuss the concept of stability , which uses community-aﬃnity scores of the nodes to compute how ”stable” each node is in a given community structure and how we can use this information in estimating the quality of a given community structure. Towards the end, we introduce a community detection algorithm, which ”peels” communities one by one from a graph. The results of our experiments show that our algorithm is very accurate even for a large number of nodes in a graph. Our algorithm is fast and it performs very well on real-world graphs compared to the state of the art algorithms.
A Multilingual Evaluation of Three Spelling Normalisation Methods for Historical Text

We present a multilingual evaluation of approaches for spelling normalisation of historical text based on data from five languages: English, German, Hungarian, Icelandic, and Swedish. Three different normalisation methods are evaluated: a simplistic filtering model, a Levenshteinbased approach, and a character-based statistical machine translation approach. The evaluation shows that the machine translation approach often gives the best results, but also that all approaches improve over the baseline and that no single method works best for all languages.
Performance Improvement for 802.11 Based Wireless Local Area Networks

In a typical installation of an 802.11 based WLAN (Wireless Local Area Network), mobile hosts would access the network through Access Points, even when two mobile stations can communicate within the same WLAN. Effectively, all the packets in a WLAN are required to forward through the AP (Access Point) according to the MAC (Medium Access Control) layer protocol. Since the AP has the same priority as the other mobile stations to access the channel, the AP usually becomes a bottleneck in WLANs and the network performance degrades significantly. In this paper, we propose a new MAC layer protocol for WLANs in order to improve the throughput performance. Theoretical analysis and simulation results show that our new protocol works much better in WLAN than the standard DCF.
#TheFappening

Using an interactionist framework, we analyze publicly available data from Twitter to track real-time reactions to the widely publicized celebrity nude photo hacking of 2014 (“The Fappening”). We ask: “Related to The Fappening, what manhood acts are employed in virtual social space? ” Using search terms for “fappening” or “#thefappening,” we collected 100 tweets per hour from August 31 to October 1, 2014 (Average: 1,700/day). Coding and qualitative analyses of a subsample of tweets (N = 9,750) reveal four virtual manhood acts commonly employed to claim elevated status in the heterosexist hierarchy and reproduce gendered inequality. These acts include (1) creation of homosocial, heterosexist space; (2) sexualization of women; (3) signaling possession of a heterosexual, male body; and (4) humor as a tool of oppression. This article introduces the concept of “virtual manhood acts” and contributes to growing understandings of the reproduction of manhood and the oppression of women in online social spaces.
Fingerprint verification based on minutiae and moments

This paper, deals with the fingerprint verification system based on minutiae and invariant moment features. Our matching algorithm includes two main steps. At first, searching the matched regions based on local structures and invariant moment features, then the algorithm is repeated until finding all the matched regions. The preprocessing STFT enhancement is used to improve the clarity of the ridges. The proposed method performs better accuracy than the traditional matching based only on local structure features. The experimental test is conducted with database FVC2002 DB2
Immediate Group ACK tree (IGA) for reliable multicast in mobile Ad Hoc networks

In this paper an efficient protocol, called Immediate Group ACKTree (IGA), is proposed to support reliable multicast service for mobile ad hoc networks. For most reliable multicast protocols, a recovery scheme is used to ensure end-to-end delivery of unreliable multicast packets for all group members. IGA use a directly-related based recovery mechanism that localizes ACKs and retransmissions to avoid forward and feedback flooding. Our approach constructs an immediate ACK tree to three generations of nodes and uses efficient Fast-Upstream recovery algorithm to maintain reliable multicast and reduce overhead. When a tree is fragmented due to a departed node, the fragments will be glued back to the tree using the directly repair protocol. IGA adopts an adaptive scheme to recover missed packets that have been multicast to the group during fragmentation. We simulate the performance among IGA, FAT and source ACK approaches. The results show that IGA achieves better performance in terms of reliability, scalability, and delivery efficiency in ad hoc networks due to the speedy of recoverable service.
Biodata analytics for COPD

WELCOME is an ambitious EU FP7 project which aims to bring about a change in the reactive and integrated care nature of the management of chronic diseases and in particular the Chronic Obstructive Pulmonary Disease and its comorbidities. In order to achieve these goals, the Welcome solution will incorporate several bio-sensors to enable bio-analytics and multi-parametric modeling. In this paper we introduce the biodata analytics module of the Welcome system. This module is composed of several analysis sub-modules dedicated to the analysis of specific biosignals. Inhere we will introduce the modules for high resolution ECG and for chest sounds processing.
Classification of Multi-Dimensional Trajectories Using Textual Approximation

Classification and searching time series in the multidimensional space is a big challenge. There has been much research work on this field for many years. TAX (Textual ApproXimation) is a method for searching time series data such as stock or electrocardiogram data. The main idea behind TAX is extract a set of temporal-terms from time series data to approximate using document retrieval methods. The main problem of applying TAX to multidimensional data, such as moving object trajectory data is that how we extract temporal-terms from multidimensional data. In this paper, we propose a novel method to obtain temporal-terms by decomposing original multidimensional data into smaller segmentations, deploying a clustering method to group those segmentations into groups, and assigning a temporal-term for each group. Our research focuses on two-dimensional moving object, representing trajectories and on classification of a large set of the moving object trajectories. The experimental results confirm that our proposed method is effective in multi-multidimensional data classification.
Life Table Evaluation of Survival and Reproduction of the Aphid, Sitobion avenae, Exposed to Cadmium

Abstract The effects of cadmium (Cd) on the development, fecundity, and reproduction of the grain aphid, Sitobion avenae Fabricius (Hemiptera: Aphididae) were estimated by constructing a life table of S. avenae exposed to Cd. The concentrations of Cd in the soil were as follows: 0, 10, 20, 40, 80, and 160 mg/kg. The correlation analysis of the Cd concentration in soil and wheat revealed that the amount in the wheat increased with the increase of Cd concentrations in soil. The results indicated that, the latter part of the reproduction period was significantly affected by Cd, according to the curve of the total survival rate (lx ). The net reproductive rate (R 0), innate capacity of increase (r), and finite rate of increase (&lgr;) of S. avenae all decreased under the stress of Cd, and were lowest at a Cd concentration of 20 mg/kg. Cd also negatively affected fecundity and mx (the number of offspring produced by an individual female). At 20 mg/kg, the decline of them was most obvious. In conclusion, survival and reproduction of S. avenae were inhibited under the treatment of the heavy metal Cd. Sitobion avenae was more sensitive to Cd at concentration of 20 mg/kg compared to the other concentrations. This concentration can be used to examine the mechanisms behind population genetics and biological mutation of S. avenae when exposed to heavy metal.
The administration of a high refined carbohydrate diet promoted an increase in pulmonary inflammation and oxidative stress in mice exposed to cigarette smoke

This study aimed to evaluate the effects of a high refined carbohydrate diet and pulmonary inflammatory response in C57BL/6 mice exposed to cigarette smoke (CS). Twenty-four male mice were divided into four groups: control group (CG), which received a standard diet; cigarette smoke group (CSG), which was exposed to CS; a high refined carbohydrate diet group (RG), which received a high refined carbohydrate diet; and a high refined carbohydrates diet and cigarette smoke group (RCSG), which received a high refined carbohydrate diet and was exposed to CS. The animals were monitored for food intake and body weight gain for 12 weeks. After this period, the CSG and RCSG were exposed to CS for five consecutive days. At the end of the experimental protocol, all animals were euthanized for subsequent analyses. There was an increase of inflammatory cells in the bronchoalveolar lavage fluid (BALF) of CSG compared to CG and RCSG compared to CG, CSG, and RG. In addition, in the BALF, there was an increase of tumor necrosis factor alpha in RCSG compared to CG, CSG, and RG; interferon gamma increase in RCSG compared to the CSG; and increase in interleukin-10 in RCSG compared to CG and RG. Lipid peroxidation increased in RCSG compared to CG, CSG, and RG. Furthermore, the oxidation of proteins increased in CSG compared to CG. The analysis of oxidative stress showed an increase in superoxide dismutase in RCSG compared to CG, CSG, and RG and an increase in the catalase activity in RCSG compared with CG. In addition, there was a decrease in the glutathione reduced/glutathione total ratio of CSG, RG, and RCSG compared to CG. Therefore, the administration of a high refined carbohydrate diet promoted an increase in pulmonary inflammation and oxidative stress in mice exposed to CS.
Three-dimensional structure of dendritic spines and synapses in rat hippocampus (CA1) at postnatal day 15 and adult ages: implications for the maturation of synaptic physiology and long-term potentiation [published erratum appears in J Neurosci 1992 Aug;12(8):following table of contents]

It has long been hypothesized that changes in dendritic spine structure may modify the physiological properties of synapses located on them. Due to their small size, large number, and highly variable shapes, standard light microscopy of Golgi impregnations and electron microscopy (EM) of single thin sections have not proved adequate to identify most spines in a sample or to quantify their structural dimensions and composition. Here we describe a new approach, the series sample, that was developed to classify by shape and subcellular composition all of the spines and synapses in a sample of neuropil by viewing them through serial EM sections. Spines in each class are then randomly selected for serial reconstruction and measurement in three dimensions. This approach was used to assess whether structural changes in hippocampal CA1 spines could contribute to the enhanced synaptic transmission and the greater endurance of long-term potentiation (LTP) that occur with maturation. Our results show a near doubling in the total density of synapses in the neuropil and along reconstructed dendrites between postnatal day 15 (PND 15) and adult ages. However, this doubling does not occur uniformly across all spine and synapse morphologies. Thin spines, mushroom spines containing perforated postsynaptic densities (PSDs) and spine apparatuses, and branched spines increase by about four-fold in density between PND 15 and adult ages. In contrast, stubby spines decrease by more than half and no change occurs in mushroom spines with macular PSDs or in dendritic shaft synapses. The stubby spines that remain are smaller in adults than at PND 15 and the mushroom spines are larger, while no change occurs in the three-dimensional structure of thin spines. Only a few spine necks at either age are constricted or long enough to attenuate charge transfer; therefore, the doubling in synapses should mediate the enhancement of synaptic transmission that occurs with maturation. In addition, LTP is not likely to be mediated by widening of spine necks at either age. However, the constricted spine necks could serve to concentrate specific molecules at activated synapses, thereby enhancing the specificity and endurance of LTP with maturation. These results demonstrate that the new series sample method combined with three- dimensional reconstruction reveals quantitative changes in the frequency and structure of spines and synapses that are not discernable by other methods and are likely to have dramatic effects on synaptic physiology and plasticity.
Highest weight representations of the Virasoro algebra

We consider representations of the Virasoro algebra, a one-dimensional central extension of the Lie algebra of vectorfields on the unit circle. Positive-energy, highest weight and Verma representations are defined and investigated. The Shapovalov form is introduced, and we study Kac formula for its determinant and some consequences for unitarity and degeneracy of irreducible highest weight representations. In the last section we realize the centerless Ramond algebra as a super Lie algebra of superderivations.
Modeling and simulation of liquefied natural gas ship propulsion

Mathematical modeling and real-time system simulation for liquefied natural gas (LNG) ship steam turbine propulsion system are significant not only to development of LNG engine room simulator, system optimized control, fault diagnosis but also to increasing the economics, safety, reliability. Through the analysis of mechanism, using the method of modular modeling and lumped parameters modeling, a real-time modularized mathematical model for LNG ship steam turbine propulsion system has been developed based on the principle of fluid dynamics, heat transfer and thermo-dynamics. The steam turbine propulsion system of LNG ship built by Shanghai HuDong-Zhonghua shipyard has been taken as an example to system simulation purpose. Simulation studies were conducted and the results show that the built model has satisfied static precision and dynamic characteristics and the accuracy meets the simulation requirements. The model has been utilized in LNG Ship engine room simulation system.
User Interfaces for Clustering Tools

This paper discusses ongoing research at Oak Ridge National Laboratory (ORNL) to make computing clusters easier to use. Cluster administration, setup, and use is an active research area with many different components. Two systems for cluster control and administration, that have been experimented with at ORNL, are Managing Multiple Clusters (M3C) and Cluster Control GUI (C2G). M3C uses a Java Servlet in conjunction with a Java application server to handle communications between a remote user and the head node. C2G takes an alternate approach and uses the sshd to handle these messages. Another important issue to consider is the mechanism that is used to handle communications between compute nodes. A new system that is under construction at ORNL is designed to allow a user to easily keep track of software that is loaded on a node. This system has two components, a node manager daemon and a package services back-end that is basically a database. Multiple software configurations for a compute node can be stored and loaded on a node with this system. ∗Research supported by the Mathematics, Information and Computational Sciences Office, Office of Advanced Scientific Computing Research, Office of Science, U. S. Department of Energy, under contract No. DE-AC05-00OR22725 with UT-Battelle, LLC.
Positioning in Indoor Environment using QR Codes

Nowadays, in the era of intelligent buildings, there is a need to create indoor navigation systems, what is steadily a challenge. QR (Quick Response) codes provide accurate localization also in indoor environment, where other navigation techniques (e.g. GPS) are not available. The paper deals with the issues of positioning using QR codes, solved at the Department of Surveying, Faculty of Civil Engineering SUT in Bratislava. Operating principle of QR codes, description of the application for positioning in indoor environment based on OS Android for smartphones are described.