bluuebunny/crossref_metadata_2025_split huggingface dataset:
Probability Sensing Model Based Enhancement of Coverage for Video Sensor Networks
Authors: Ju-Wei Zhang , Na Li , Ning-Ning Wu , Jingzhuo Shi 
Published: February 2018

Abstract
With the foundation of the video probabilistic sensing model that sensing direction is steerable, the study on path coverage enhancement algorithm for video sensor networks has been improved, analysis the position of effective center of mass in the sensor’s model, the network calculates the gravitation between the target track points and the trace nodes, and the repulsive force between both trace nodes of the target track points, then the trace node adjusts its sense direction, make the probability of the target track points which is perceived by the sensor network equals or exceeds the perception threshold. The simulation result shows that, this improved algorithm has make further improvement on the perception of the target which is move in the coverage area, it uses more fewer directional video nodes, but the video sensor networks is fully and high effectively covering the target trajectory.
PSO Algorithm for Single and Multiple Odor Sources Localization Problems: Progress and Challenge
Authors: Jatmiko W. , Jovan F. , Dhiemas R.Y.S. , Alvissalim M.S. , Febrian A. , Widiyanto D. , Purnomo D.M.J. , Wisesa H.A. , Fukuda T. , Sekiyama K. 
Published: February 2018

Abstract
Odor sensing technology in robotic research introduce two research field namely odor recognition and odor source localization. Odor source localization research also includes the odor recognition ability with localization method. This paper shows some experiment had been done to localize odor source using single agent and multiple agents. Experiment shows that single agent can’t be used in dynamic environment, hence also can’t be used in real life application. This paper promotes an algorithm known as Particle Swarm Optimization (PSO) to solve these problems. The experiment conducted using PSO shows that PSO able to localize the odor source in the same condition where single agent failed. However, PSO still need to be modified before it can be use widely. This paper shows modification that has been proposed by the authors to enhance it’s ability. The research also has been push to solve multiple odor sources using parallel localization. To verify proposed method, software simulator was used. Results from these experiment show that Modified PSO is able to localize all four odor sources in dynamic environment in 651.900 seconds within 7 x 7 meters search area. The modification being applied in this research not limited by searching technic but also creating two types of robot.
Hardware and Software Solution Developed in Arm Mbed Environment for Driving and Controlling DC Brushless Motors Based on ST X-Nucleo Development Boards
Authors: Primiceri P. , Visconti P. , Melpignano A. , Colleoni G. , Vilei A. 
Published: February 2018

Abstract
Aim of this work is the design and realization of a driving system for monitoring and controlling of a BLDC motor with Hall sensors embedded. The realized system is composed by three principal blocks: the control electronic board, the power driving board and the BLDC motor. The first block is based on the STM32 Nucleo development board assembled with the second one, the ST-X-Nucleo-IHM07M1 motor driver expansion board which integrates an L6230 IC driver. The used BLDC motor is the DF45M024053-A2 model provided by Nanotec. The firmware, needed to properly control motor operation, was developed in ARM mbed environment, a development tool available on cloud which allows to send the .bin file (obtained after firmware compilation) directly to the STM32 development board, regarded from operating system, once connected via USB to PC, simply as an external memory. By PC connected via USB with STM32 board, the user can choose the motor rotation direction, set the desired rpm value and, by varying potentiometer value located on board, change the rotation speed. Furthermore, different controls are performed during motor operation such as on PWM duty-cycle value (if it is equal to 100%, then power supply is removed), on temperature value of L6230 IC driver and a control of motor rotation; in this latter case, if BLDC motor is stalled for a time period higher than 3 seconds, then the power supply is interrupted in order to safeguard the motor/system integrity.
Development and Characterization of a Solarbased Energy Harvesting and Power Management System for a WSN Node Applied to Optimized Goods Transport and Storage
Authors: Visconti P. , Ferri R. , Pucciarelli M. , Venere E. 
Published: February 2018

Abstract
This paper describes a harvesting and power management system that can be equipped with a Wireless Sensor Network (WSN) node in order to harvest energy presents in the environment to be used for sensor node power supply. The proposed scope is to develop a harvesting board exploiting available integrated circuits and devices for extending battery life-cycle of sensor node developed by Medinok SPA. The aim is to realize a WSN able to perform a monitoring of principal physical parameters deemed of interest in a facility, as automatic as possible, for the storage and handling of goods, applied for example to a commercial seaport, where stored containers need to be continuously monitored. Battery life-time is a main problem especially in networks where sensor nodes are not easily accessible. For this reason, sensor nodes are commonly equipped with power management devices able to supply power in an intelligent way from the harvester when harvestable energy is available or from backup batteries ensuring, under every operating conditions, the correct functioning of the sensor node. In this work, a solar-based harvesting system, based on LTC3330 IC, was designed and tested on Medinote sensor node but usable for any device requiring to be fed.
Full Order Unknown Inputs Observer for Multiple Time-Delay Systems
Authors: Warrad Seifeddine Ben , Boubaker Olfa 
Published: February 2018

Abstract
In this paper, a design of a full-order observer for linear time-invariant (LTI) multivariable systems with multiple time-delays and unknown inputs (UI) is proposed. The main idea is to reduce the problem of the unknown input observer (UIO) for systems with multiple time-delays to that of a standard one. To that purpose, the orthogonal collocation method is used to transform the infinite dimensional model of the delayed system described by a set of linear partial differential equations (PDEs) to a finite dimensional one described by a set of linear ordinary differential equations (ODEs). Even using an approximation method, the asymptotic stability of the UIO is well proven. The efficiency of the proposed algorithm is shown using the quadruple-tank benchmark. The two cases of minimum and non-minimum phase models are considered.
False Data Filtering in Wireless Sensor Networks
Authors: LUO Ze , ZHU Lingzhi , CHANG Yunjie , LUO Qingyun , LI Guixiang , LIAO Weisheng 
Published: February 2018

Abstract
Wireless Sensor Networks (WSN) is often deployed in hostile environments, and the attacker can easily capture nodes to inject false data to the sensor network, which can cause serious results. This paper has studied various false data filtering techniques recently in wireless sensor network. Based on encryption technology, we have analyzed and compared the difference of various existing filtering strategies, then have pointed out the merits and demerits of them in detailed. At last, we give the developing trend of false data filtering, which provides a strong foundation for the further research.
Optimal Analog Wavelet Bases Construction Using Hybrid Optimization Algorithm
Authors: Li Hongmin , He Yigang , Sun Yichuang 
Published: February 2018

Abstract
An approach for the construction of optimal analog wavelet bases is presented. First, the definition of an analog wavelet is given. Based on the definition and the least-squares error criterion, a general framework for designing optimal analog wavelet bases is established, which is one of difficult nonlinear constrained optimization problems. Then, to solve this problem, a hybrid algorithm by combining chaotic map particle swarm optimization (CPSO) with local sequential quadratic programming (SQP) is proposed. CPSO is an improved PSO in which the saw tooth chaotic map is used to raise its global search ability. CPSO is a global optimizer to search the estimates of the global solution, while the SQP is employed for the local search and refining the estimates. Benefiting from good global search ability of CPSO and powerful local search ability of SQP, a high-precision global optimum in this problem can be gained. Finally, a series of optimal analog wavelet bases are constructed using the hybrid algorithm. The proposed method is tested for various wavelet bases and the improved performance is compared with previous works.
The Implementation of a Cloud System for Electronics Learning in a Moroccan Public University
Authors: Ghoulam Khalid , Bouikhalene Belaid , Harmouch Zakaria , Mouncif Hicham 
Published: February 2018

Abstract
Educational laboratories are places for realizing experimentations and they are important for modern engineering education. The problem is what if there are simply not enough devices or time for conducting experimentation in a local lab? Other factors that prevent the use of local lab devices directly by students are inaccessible or dangerous phenomena, or polluting chemical reactions. The new technologies bring additional strategies of learning and teaching, so it becomes a challenge to integrate the information and communication technologies ICT into the engineering sciences learning. Nowadays, there are two types of online labs, virtual and remote labs. Virtual labs that provide simulation environments for experimentations, remote labs are based on conducting the experimentation remotely through the Internet. In this paper, an example of a successful development and deployment of a cloud based remote lab in the field of engineering education, integrated in the Moodle platform, using very low-coast, high documented devices and free software. The remote lab is user friendly for both trainers and students.
Range Image Sensor Based Eye Gaze Estimation by Using the Relationship Between the Face and Eye Directions
Authors: Tamaki Haruya , Sakai Tsugunosuke , Ota Yosuke , Kusunoki Fusako , Inagaki Shigenori , Egusa Ryohei , Sugimoto Masanori , Mizoguchi Hiroshi 
Published: February 2018

Abstract
In this paper, we estimate the eye gaze by using the face direction to estimate the object of interest in an extensive area such as an educational display or museum exhibit. However, the direction of the gaze may differ from that of the face. Therefore, our approach was to use a method that utilizes both the face and eye directions to improve the accuracy of our estimation compared to only using the face direction. The first part of our study involved apprehending the relationship between the direction of the face and the eyes. The second part entailed estimating the eye gaze using this relationship. We then evaluated the effectiveness of this method in comparison to using the relationship with the face direction only.
Morphological and Molecular Identification of Longidorus euonymus and Helicotylenchus multicinctus from the Rhizosphere of Grapevine and Banana in Greece
Authors: Tzortzakakis Emmanuel A. , Cantalapiedra-Navarrete Carolina , Castillo Pablo , Palomares-Rius Juan E. , Archidona-Yuste Antonio 
Published: February 2018

Abstract
Plant-parasitic nematodes such as Longidorus euonymus and Helicotylenchus multicintctus are species widely distributed in central Europe as well as in Mediterranean area. In Greece, both species have been previously reported but no morphometrics or molecular data were available for these species. Nematode surveys in the rhizosphere of grapevines in Athens carried out in 2016 and 2017, yielded a Longidorus species identified as Longidorus euonymus. Similarly, a population of Helicotylenchus multicinctus was detected infecting banana roots from an outdoor crop in Tertsa, Crete. For both species, morphometrics and molecular data of Greek populations were provided, resulting in the first integrative identification of both nematode species based on morphometric and molecular markers, confirming the occurrence of these two nematodes in Greece as had been stated in earlier reports.
A New Species of the Rare Genus Anguillonema Fuchs, 1938 (Nematoda: Hexatylina, Sphaerularioidea) with Its Molecular Phylogenetic Study
Authors: Mobasseri Mahyar , Pedram Majid , Pourjam Ebrahim 
Published: February 2018

Abstract

Anguillonema amolensis n. sp. is described and illustrated based on its morphological, morphometric, and molecular characters. The new species is characterized by its 575 to 820 mm long and wide body (body width at vulva = 30 to 59 mm), irregularly ventrally curved after fixation, five to six lines in lateral fields, 6.0 to 7.5 mm long stylet with small rounded knobs, pharynx lacking a median bulb, pharyngo-intestinal junction anterior to nerve ring and excretory pore, females with monodelphic-prodelphic reproductive system, 15 to 19 mm long conical tail with broad rounded tip, and males absent. The new species is compared with two known species of the genus, Anguillonema poligraphi and A. crenati. Molecular phylogenetic studies of the new species using partial sequences of small subunit (SSU) rDNA revealed that it forms a clade with an unidentified nematode species and two species of the genus Howardula. In phylogenetic analyses using partial sequences of the 28S rDNA (D2-D3 segment), the new species formed a monophyletic group with species belonging to two genera Howardula and Parasitylenchus.
Nematicidal Effects of 5-Aminolevulinic Acid on Plant-Parasitic Nematodes
Authors: Cheng Feixue , Wang Jian , Song Zhiqiang , Cheng Ju’e , Zhang Deyong , Liu Yong 
Published: February 2018

Abstract
Plant-parasitic nematodes are important agricultural pests and often cause serious crop losses. Novel, environmental friendly nematicides are urgently needed because of the harmful effects of some existing nematicides on human health. 5-Aminolevulinic acid (ALA) was reported as a potential biodegradable herbicide, insecticide, or plant-growth promoting agent. Lack of information on ALA against plant-parasitic nematodes prompted this investigation to determine the effects of ALA on Meloidogyne incognita, Heterodera glycines, Pratylenchus coffeae, and Bursaphelenchus xylophilus. A series of in vitro assays and one greenhouse trial were conducted to examine the nematicidal effects of ALA. The results demonstrated that ALA exhibited a strong effect of suppression against the four nematodes tested. ALA also inhibited hatching of M. incognita and H. glycines. Results from the greenhouse experiment indicated that treatment of soil with 6.0 mM ALA significantly reduced the root-gall index (RGI) and egg mass number per root system compared with the
uninoculated control (P # 0.05). The metabolism assays indicated that ALA treatment significantly altered the nematode metabolism
including the total protein production, malondialdehyde (MDA) content, and oxidase activities. This study suggested that ALA is a promising nematicide against plant-parasitic nematodes.
A New Race (X12) of Soybean Cyst Nematode in China
Authors: Lian Yun , Guo Jianqiu , Li Haichao , Wu Yongkang , Wei He , Wang Jinshe , Li Jinying , Lu Weiguo 
Published: February 2018

Abstract
The soybean cyst nematode (SCN), Heterodera glycines, is a serious economic threat to soybean-producing regions worldwide. A new SCN population (called race X12) was detected in Shanxi province, China. Race X12 could reproduce on all the indicator lines of both race and Heterodera glycines (HG) type tests. The average number of females on Lee68 (susceptible control) was
171.40 with the lowest Female Index (FI) 61.31 on PI88788 and the highest FI 117.32 on Pickett in the race test. The average number of females on Lee68 was 323.17 with the lowest FI 44.18 on PI88788 and the highest FI 97.83 on PI548316 in the HG type test. ZDD2315 and ZDD24656 are elite resistant germplasms in China. ZDD2315 is highly resistant to race 4, the strongest infection race in the 16 races with FI 1.51 while being highly sensitive to race X12 with FI 64.32. ZDD24656, a variety derived from PI437654 and ZDD2315, is highly resistant to race 1 and race 2. ZDD24656 is highly sensitive to race X12 with FI 99.12. Morphological and molecular studies of J2 and cysts confirmed the population as the SCN H. glycines. This is a new SCN race with stronger virulence than that of race 4 and is a potential threat to soybean production in China.
New Approaches Using Exponential Type Estimator With Cost Modelling for Population Mean on Successive Waves
Authors: Priyanka Kumari , Mittal Richa 
Published: February 2018

AbstractThe key and fundamental purpose of sampling over successive waves lies in the varying nature of study character, it so may happen with ancillary information if the time lag between two successive waves is sufficiently large. Keeping the varying nature of auxiliary information in consideration, modern approaches have been proposed to estimate population mean over two successive waves. Four exponential ratio type estimators have been designed. The properties of proposed estimators have been elaborated theoretically including the optimum rotation rate.Cost models have also been worked out to minimize the total cost of the survey design over two successive waves. Dominances of the proposed estimators have been shown over well-known existing estimators. Simulation algorithms have been designed and applied to corroborate the theoretical results.
Bayesian Estimation of Measles Vaccination Coverage Under Ranked Set Sampling
Authors: Das Radhakanta , Verma Vivek , Nath Dilip C. 
Published: February 2018

Abstract
The present article is concerned with the problem of estimating an unknown population proportion p, say, of a certain population characteristic in a dichotomous population using the data collected through ranked set sampling (RSS) strategy. Here, it is assumed that the proportion p is not fixed but a random quantity. A Bayes estimator of p is proposed under squared error loss function assuming that the prior density of p belongs to the family of Beta distributions. The performance of the proposed RSS-based Bayes estimator is compared with that of the corresponding classical version estimator based on maximum likelihood principle. The proposed procedure is used to estimate measles vaccination coverage probability among the children of age group 12-23 months in India using the real-life epidemiological data from National Family Health Survey-III.
Necrotizing fascitis of male genitalia: A series of fifty-four consecutive patients
Authors: EL Khafifi M , Mohammed K , Alaorfi W.E.Y , Osman A 
Published: February 2018

Abstract
Background: Fournier's gangrene (FG) is a fulminant aggressive necrotizing fascitis affecting the external genitalia, perineum and anterior abdominal wall with significant mortality rate. The aim of the present study was to describe the associated risk factors, presentation, diagnosis, management and outcome of this condition in Benghazi, Libya.
PATIENTS & METHODS: Over a period of twenty years (from January 1997 to October 2016) a series of 54 consecutive patients who were admitted to Urology Department, Hawari Center for Urology and Otolaryngology, Benghazi-Libya were evaluated retrospectively to assess the risk factors, etiology, management and outcome of this fatal disease.
Results: It was found that 37 (68.5%) of patients were diabetics and 24 patients (44.4%) had perianal abscess as predisposing factor. Mortality rate was 14.8% (8 patients). All cases diagnosed on clinical basis. The patients operated promptly by extensive debridement. Reconstructive surgery done by flap or graft in plastic department to close the skin defect in most of our patients (41 patients, 75.9%).
Conclusion: The main co-morbidity and predisposing factors of FG are diabetes mellitus and perianal abscess respectively. Prompt aggressive debridement is the only management to save the patient's life.
Evaluation of pearl millet starch as tablet disintegrant
Authors: Mhana B , Mezogi J , El-Majri M , Abushoffa A 
Published: February 2018

AbstractObjectives: This study aims to evaluate a novel tablet excipient obtained from local sources, Pearl millet Pannistumamericanum starch of family Poaceae which is used locally as food because of its high carbohydrate content. It was thought that the starch of Pearl millet Pannistumamericanum may serve as a tablet disintegrant.
Methods: The excipient properties of Pearl millet starch as well as the pregelatinized form were studied in paracetamol tablets produced by wet and dry granulation methods of massing and screening and compared with maize starch BP.
Results: Wet method showed superiority in all properties of both granules and tablets. Using wet method granulations Pearl millet Pannistumamericanum starch and maize starch BP have similar angle of repose, Carr′s index, tapped density, bulk density, and Hausner′s ratio, however, Pearl millet Pannistumamericanum starch has shown advantageous in some properties such as moisture content and swelling index. Tablet produced with Pearl millet Pannistumamericanum starch disintegrated almost the same of those produced with maize starch BP at all concentrations employed. It was also found that when used as a disintegrant, the pre-gelatinized form provide tablets with better hardness and friability values than maize starch BP.
Conclusion: This study confirmed the suitability of Pearl millet Pannistumamericanum starch as an alternative to maize starch BP as a tablet disintegrant, particularly, in paracetamol tablet formulation.
Unreported leaks location using pressure and flow sensitivity in water distribution networks
Authors: Salguero F. J. , Cobacho R. , Pardo M. A. 
Published: February 2018

Abstract
Water distribution systems are made up of many interdependent elements that enable water supply to meet a demand that is variable in time and space. One of the main concerns for utility managers is quickly locating and repairing a leak after detection, during regular network water balance. This paper presents a two-stage methodology for locating a leak that is based on the hydraulic model of the network, and, particularly, on the conservation equations that govern network behaviour. In the first stage, the sensitivity of each element (nodes and pipes) is obtained for a given demand increase in any node. In the second stage, that sensitivity is combined with additional real data provided by the (possibly) existing pressure sensors and flowmeters installed throughout the network. As a final result, the system of equations thus obtained produces the theoretical leak flow at each network node that matches the network conditions. A subsequent analysis of the leak flows obtained highlights the node or nodes in which the leak is occurring. The presented methodology is applied and assessed in a case study.