bluuebunny/crossref_metadata_2025_split huggingface dataset:
Testbed Evaluation of Self-Adaptive Trust Model for Cooperative Geographic Routing in Wireless Sensor Networks
Authors: RaghuVamsi P. , Kant Krishna 
Published: February 2018

Abstract
Wireless Sensor Networks (WSNs) are often deployed in remote and hostile environments to monitor the mission critical tasks. In such environments, cooperation among nodes plays a vital role for successful execution of protocol operations. However, node cooperation may not be guaranteed when malicious activities are present in the WSNs. Trust management based security has received considerable attention to use along with cryptography based security to improve the cooperation among nodes in the presence of malicious activities in the network. This paper proposes the self-adaptive trust model for cooperative geographic routing in WSNs. Unlike existing trust models, nodes running the proposed trust model systematically observe the behavior of their neighboring nodes and evaluate the trust values with adaptive weight assessment. The proposed method has been integrated with conventional Greedy Perimeter Stateless Routing (GPSR) protocol. Further, it has been coded with nesC programming in TinyOS environment and evaluated on a WSN testbed consisting of 15 Telosb sensor nodes. The experimental results show that the proposed method significantly improved the packet delivery ratio in the presence of packet dropping and modification attacks.
Visualization Technology of the Microstructure of Reservoir Core
Authors: Wenjie Niu , Qingqing Xu , Ying Xu , Guohui Xu , Xiaobin Wang , Shipo Zheng , He Liu 
Published: February 2018

Abstract
To solve the problem in conventional technologies of analysis and integration in micro scale of reservoir core, virtual reality and visualization technology can be used in the research of reservoir core microstructure. Integrated with practical research and application works, the modeling method of reservoir core and the database store method of microstructure model are analyzed and discussed. A skeleton extraction algorithm based on maximum circumsphere method is proposed to achieve the skeleton model construction of reservoir core. And the visualization of reservoir core microstructure which includes the visualizations of voxel model, surface model, solid model and skeleton model of reservoir core are realized based on OpenGL graphics library. Taking a carbonate as a case study, we develop a set of software named “visualization system of reservoir core microstructure”, which is an effective evidence in the application to scientific research of reservoir core microstructure.
Valve Barrel Position Control Based on Self-Tuning Fuzzy Pid with Particle Swarm Optimization
Authors: Haiyan Zhang , Lepeng Song , Zhiming Dong 
Published: February 2018

Abstract
This paper introduced the self-tuning fuzzy PID controller based on particle swarm optimization which aims to gain more precise control over the position of pneumatic proportional valve barrel, where particle swarm works to optimize the membership function, fuzzy rule and PID parameter in fuzzy control. The study fruits also include online optimization of the self-tuning fuzzy PID controller parameters. Comparing to the conventional control methodology, The self-tuning fuzzy PID controller with PSO optimization is proven to show better precision, dynamic performance index and more rapid tracking performance and robustness. To this end, step response was used to compare and analyze the results from the PSO algorithm optimization, providing a pragmatic method of better comprehensive performance for PID parameter optimization.
Secure Data Storage Mechanism for Integration of Wireless Sensor Networks and Mobile Cloud
Authors: Hu Chengwei 
Published: February 2018

Abstract
Together with an explosive growth of the mobile applications and emerging of cloud computing concept, mobile cloud computing (MCC) has been introduced to be a potential technology for mobile services. Wireless Sensor Networks (WSN) is the technology that connects the virtual world and the physical world where nodes can autonomously communicate among each other and with intelligent systems. This paper describes the concept of wireless sensor networks and mobile cloud computing. Recently, much research has proposed to integrate wireless sensor networks (WSNs) with mobile cloud computing, so that powerful cloud computing can be exploited to process the sensory data accumulated by WSNs and provide these date to the mobile users on demand. The current WSN-MCC integration schemes have several drawbacks. This paper proposes a data processing framework, which aims at transmitting desired data to the mobile users in a rapid, reliable and even more secure manner. The proposed framework decreases the storage requirements for sensor nodes and networks gateway. And it minimizes the traffic overhead and bandwidth requirement for sensor networks. Additionally, the framework can predict the future trend of sensory data and provide security for this sensory data. This framework ensures the mobile users obtain their desired data faster.
Calculation and Simulation of Electromagnetic Wave Propagation Path Loss Based on Matlab
Authors: Yongxian Song , xianjin Zhang 
Published: February 2018

Abstract
In order to reliable data transmission of wireless sensor network (WSN) in indoor environment, the indoor field intensity distribution and transmission characteristics of electromagnetic wave were researched. First of all, the 3D model in specific indoor environment was built by the finite difference time domain method (FDTD).Then, layout of room, different furniture, position of field source and field source frequency had an influence on indoor field intensity distribution that were studied, and the field intensity distribution was simulated by MATALAB. According to simulation of three dimensional field intensity distribution, and it had directly shown that various factors had an influence on the indoor field intensity distribution, thus indoor wireless sensor network nodes can be reasonable deployed by it, the packet loss rate of WSN transmission was reduced from information source, and it provided theoretical basis for further improving WSN information transmission reliability.
Hyperspectral Data Feature Extraction Using Deep Belief Network
Authors: Xinhua Jiang , Heru Xue , Lina Zhang , Yanqing Zhou 
Published: February 2018

Abstract
Hyperspectral data has rich spectrum information, strong correlation between bands and high data redundancy. Feature band extraction of hyperspectral data is a prerequisite and an important basis for the subsequent study of classification and target recognition. Deep belief network is a kind of deep learning model, the paper proposed a deep belief network to realize the characteristics band extraction of hyperspectral data, and use the advantages of unsupervised and supervised learning of deep belief network, and to extract feature bands of spectral data from low level to high-level gradually. The extracted feature band has a stronger discriminant performance, so that it can better to classify hyperspectral data. Finally, the AVIRIS data is used to extract the feature band, and the SVM classifier is used to classify the data, which verifies the effectiveness of the method.
Modeling and Optimal Supervision of Multi Sensors and Multi-States Discrete-Event Systems with Structured Languages
Authors: Ji Shunping 
Published: February 2018

Abstract
In a discrete-event system, more than one sensor will create more than one event. Several events may happen at the same time parallelly. Events in different parallel branches are irrelevant and it will lead states explosions if mixing them together and enumerating all possible arrangements. A system with parallel sequences has multi-threads and can be dealt with as a whole. In this paper, after analyzing the process of discrete-event systems, the new model is established as a 5-tuple set, which is called a generator with multi-threads. The new generator will generate structured languages which are in accordance with the sequences of the process. The controllability of the structured languages is defined and the theorem about the existence of the supervisor for given languages is presented and proved. For given specifications, the method to solve the supervisor is presented. With the new model, the states of the total system will not explode when two or more systems synchronizing. From two examples shown in Section VI, the new model and supervisor theory for multi-sensors and multi-states discrete-event system are more convenient and natural than that of the traditional theories.
Deterministic Deployment for Directional Sensor Nodes
Authors: Yutong Lei , jian Wen , Xuan Zhao , Jianyu Li , Junguo Zhang 
Published: February 2018

Abstract
Node deployment is the key problem of wireless sensor network technology in application. The existing study on deployment of deterministic perceived nodes is simplified to the randomly deployment. In this paper, we take the effective coverage, connectivity and probability threshold as the evaluation indices to analyze the different deployment models. Experimental results demonstrate that the effective coverage area of the triangle deployment is the largest when using the same number of nodes; and if the probability is less than limits, tile deployment does not need to increase the node to ensure coverage. The research results of this paper provide an important reference for the deployment of the directional sensor networks with the given parameters.
Road Damage Identification and Degree Assessment Based on UGV
Authors: Song J. H. , Gao H. W. , Liu Y. J. , Yu Y. 
Published: February 2018

Abstract
Aiming at the problem of automatic identification and evaluation of road damage degree, the road damage identification and degree assessment algorithms based on unmanned vehicles experimental platform are studied. The road crack segmentation extraction method based on adaptive sliding window is studied. On this basis, the road damage crack classifies and identifies according to the crack geometry information and the principle of template matching. The road damage degree assessment algorithm based on fuzzy decision is proposed based on the quantitative analysis of the road crack and the corresponding parameters information. The experimental results demonstrate that the road damage identification and degree assessment algorithms proposed in this paper are effective and stable.
Image Fusion Based on Joint Nonsubsampled Contourlet and Overcomplete Brushlet Transforms
Authors: Pai Zhang 
Published: February 2018

Abstract
This paper proposed an image fusion method based on a novel scheme with joint nonsubsampled contourlet and overcomplete brushlet transform. And an improved region energy operator is employed as the fusion strategy, which can take full advantage of the anisotropic texture information and multidimensional singular information in the new multiresolution domain. Experimental results shows that the proposed method improved the fusion results not only in visual effects but also in objective evaluating parameters.
Optimization of Modified Rotameter Using Hall Probe Sensor with Respect to Liquid Density and its Calibration Using Artificial Neural Network
Authors: Sinha Sunita , Mandal Nirupama 
Published: February 2018

Abstract
Rotameter is one of the most commonly used local indicating type flow measuring instrument. For remote indication and control a secondary transducer like Hall Probe sensor, LVDT etc. is incorporated with the conventional rotameter. In this paper, a modified rotameter with Hall Probe sensor is used as a measuring instrument. The output hall voltage is proportional to the flow rate of the fluid and the change in fluid density may also vary the hall voltage. So this kind of variation shows incorrect flow rate if the density of the float is not taken to a very high value compared to the density of the fluid. But the density float may affect the flow rate measurement and introduce error. In this respect firstly the variation of Hall voltage with respect to liquid density is analyzed and then the measuring system is calibrated using ANN. The ANN calculates the correction factor with respect to the change in liquid density, which results in obtaining the output close to the desired output. The simulation results show that the calibration technique is efficient.
Unsupervised Grouping of Moving Objects Based on Agglomerative Hierarchical Clustering
Authors: Fujinami Kaori 
Published: February 2018

Abstract
In this article, we present a method to identify a grouping of sensor nodes that show similar movement patterns in an ad-hoc manner. The motivation behind the ad-hoc grouping is to allow a system to monitor complex and concrete situations of people and/or devices such as “who is/are utilizing what object(s)” and “what objects are carried together” without any supervision of human before and at the time of interaction. An agglomerative hierarchical clustering algorithm was applied to a data stream to find the group members as a set of clusters within a certain height. A threshold was also determined in an unsupervised way based on simple statistics obtained from the previous clustering results. An off-line analysis was conducted on data collected in realistic situations. Although grouping two of the same but unrelated activities proved to be difficult, the proposed algorithm performed well in other relaxed cases such as walking with a bag vs. pushing a platform hand truck. Furthermore, we confirmed the effectiveness of clustering-based grouping in comparison with simple distance-based grouping.
Description of a New Anguinid Nematode, Nothotylenchus phoenixae
n. sp. (Nematoda: Anguinidae) Associated with Palm Date Trees and Its Phylogenetic Relations within the Family Anguinidae
Authors: Esmaeili Mehrab , Heydari Ramin , Ye Weimin 
Published: February 2018

Abstract

Nothotylenchus phoenixae n. sp. is described and illustrated from soil samples of palm trees in Kermanshah Province, western Iran. The new species is characterized by a body length of 784 (663 to 925) mm in females and 677 to 715 mm in males; a delicate stylet 6 (5 to 7) mm long and six lines in the lateral field; median bulb of pharynx fusiform, nonmuscular, and nonvalvate; isthmus elongate, slender ending to a pyriform basal pharyngeal bulb not overlapping intestine; postvulval uterine sac well developed, 15 (14 to 17) mm long, female tail elongate-conoid with pointed terminus; and male with adanal bursa and spicules 21 to 22 mm long (n = 2). The new species comes close in morphology and morphometrics to five known species of the genus, namely N. affinis, N. hexaglyphus, N. persicus, N. taylori, and N. uniformis. Molecular analyses of the partial 18S, D2/D3 expansion segments of the partial 28S and internal transcribed spacer (ITS) revealed this as a new species. The sequences of the partial 18S and 28S D2/D3 regions confirmed the close phylogenetic relationship between N. phoenixae n. sp. and other anguinids, but Nothotylenchus is clearly separated from Ditylenchus species and should be considered as a valid genus.
Influence of Root Exudates and Soil on Attachment of Pasteuria penetrans to Meloidogyne arenaria
Authors: Liu Chang , Timper Patricia , Ji Pingsheng , Mekete Tesfamariam , Joseph Soumi 
Published: February 2018

Abstract
The bacterium Pasteuria penetrans is a parasite of root-knot nematodes (Meloidogyne spp.). Endospores of P. penetrans attach to the cuticle of second-stage juveniles (J2) and subsequently sterilize infected females. When encumbered by large numbers of spores, juveniles are less mobile and their ability to infect roots is reduced. This study looked at different factors that influence spore attachment of P. penetrans to the root-knot nematode Meloidogyne arenaria. Pretreatment of J2 with root exudates of eggplant (Solanum melongena cv. Black beauty) reduced spore attachment compared with pretreatment with phosphate-buffered saline (PBS), suggesting that the nematode surface coat was altered or the spore recognition domains on the nematode surface were blocked. Spore attachment was equally reduced following exposure to root exudates from both host and nonhost plants for M. arenaria, indicating a common signal that affects spore attachment. Although phytohormones have been shown to influence the lipophilicity of the nematode surface coat, auxins and kinetins did not affect spore attachment compared with PBS. Root exudates reduced spore attachment more in sterilized soil than in natural soil. Sterilization may have eliminated microbes that consume root exudates, or altered the chemical components of the soil solution or root exudates. Root exudates caused a greater decrease in spore attachment in loamy sand than in a sandy loam soil. The sandy loam had higher clay content than the loamy sand, which may have resulted in more adsorption of compounds in the root exudates that affect spore attachment. The components of the root exudates could have also been modified by soil type. The results of this study demonstrate that root exudates can decrease the attachment of P. penetrans endospores to root-knot nematodes, indicating that when these nematodes enter the root zone their susceptibility to spore attachment may decrease.
Vertical Distribution of Pasteuria penetrans Parasitizing Meloidogyne incognita on Pittosporum tobira in Florida
Authors: Baidoo Richard , Mengistu Tesfamariam Mekete , Brito Janete A. , Mcsorley Robert , Stamps Robert H. , Crow William T. 
Published: February 2018

Abstract

Pasteuria penetrans is considered as the primary agent responsible for soil suppressiveness to root-knot nematodes widely distributed in many agricultural fields. A preliminary survey on a Pittosporum tobira field where the grower had experienced a continuous decline in productivity caused by Meloidogyne incognita showed that the nematode was infected with Pasteuria penetrans. For effective control of the nematode, the bacterium and the host must coexist in the same root zone. The vertical distribution of Pasteuria penetrans and its relationship with the nematode host in the soil was investigated to identify (i) the vertical distribution of
P. penetrans endospores in an irrigated P. tobira field and (ii) the relationship among P. penetrans endospore density, M. incognita J2 population density, and host plant root distribution over time. Soil bioassays revealed that endospore density was greater in the upper 18 cm of the top soil compared with the underlying depths. A correlation analysis showed that the endospore density was positively related to the J2 population density and host plant root distribution. Thus, the vertical distribution of P. penetrans was largely dependent on its nematode host which in turn was determined by the distribution of the host plant roots. The Pasteuria was predominant mostly in the upper layers of the soil where their nematode host and the plant host roots are abundant, a factor which may be a critical consideration when using P. penetrans as a nematode biological control agent.
Superparasitism and Population Regulation of the Mosquito-Parasitic Mermithid Nematodes Romanomermis iyengari and Strelkovimermis spiculatus
Authors: Sanad Manar , Sun Jennifer S. , Shamseldean Muhammad S. M. , Wang Yi , gaugler Randy 
Published: February 2018

Abstract
Superparasitism is a common phenomenon in mosquito-parasitic mermithid nematodes. Multiple nematodes are needed in a single host to produce males. Host selection behavior and intraspecific competition among Romanomermis iyengari and Strelkovimermis spiculatus were investigated against their host, Culex pipiens pipiens in laboratory experiments. In a choice assay between previously infected and uninfected host larvae, infectious preparasites of both nematode species could distinguish not only between infected and uninfected hosts, but even between different parasite loads in showing a strong preference for uninfected hosts or hosts with a low parasite load. Host heart rate declined briefly immediately after parasitism. Superparasitism resulted in increased parasite mortality. Scramble competition within mosquito larvae for limited host nutrients, coupled with a skewed sex ratio favoring males, is assumed to lead to parasite population decline and subsequently toward host-parasite population equilibrium. The ability of mermithid preparasites to accurately assess parasite load likely plays an important role in host population dynamics and regulation.
An exploration of the experience of parents with children with autism spectrum disorder after diagnosis and intervention
Authors: Milbourn Ben , Falkmer Marita , Black Melissa H. , Girdler Sonya , Falkmer Torbjorn , Horlin Chiara 
Published: February 2018

Abstract
Delays and difficulties in both diagnosis and access to services can compound existing stressors experienced by families with children with autism spectrum disorder. Early and accurate diagnosis and appropriate intervention may not only improve child-specific outcomes but may also mitigate some of the stressors impacting family relationships and quality of life. We aimed to understand the experience of over 500 families that had sought autism spectrum disorder diagnosis and intervention, their perceptions of the efficacy of these services, and the impact that this process had on their family life. Parents overwhelmingly described frustration with access to a timely diagnosis, specialized intervention services, and funding that impacted their family life and relationships. However, parents simultaneously reported positive perceptions of change as a consequence of diagnosis and effective intervention.
The Inter-Country Comparison of the Cost of Children Maintenance Using Housing Expenditure1
Authors: Kalbarczyk Małgorzata , Miazga Agata , Nicińska Anna 
Published: February 2018

AbstractIt is interesting to compare maintenance costs of children between countries with similar yet different family policy regimes because this could yield valuable lessons for researchers and policy-makers and also for the sake of methodological development.In this study, we aim to conduct a comparative analysis of the equivalence scales in Austria, Italy, Poland and France taking into account the age of children. To this end, we use data from the European Income and Living Condition (EU-SILC) to calculate equivalence scales for mono- and duo-parental households for the first and second child. The four countries share common European cultural context, yet differ with respect to social environment, in particular to family policy. We apply the Engel estimation method proposing the share of housing spending in total expenditures as a tool to obtain commodity-specific equivalence scales.Our results are consistent with other studies showing that the cost of a first child is higher than that of a later child. The scale values are not the same across all the countries concerned, with the highest cost observed in Italy and the lowest in Poland.