bluuebunny/crossref_metadata_2025 huggingface dataset:
Influência do multicaminhamento de sinais dos satélites GNSS e do tempo de rastreio na precisão do PPP para vértices de limites da NTGIR
Authors: Carvalho George Nascimento , Barbosa Luiz Guimarães , Vargas Rosane Maciel de Araújo , Rodrigues Tiago Lima
Published: March 2018

Com o avanço das tecnologias na área de posicionamento terrestre, aumentam as expectativas em contribuir para a regularização fundiária no país. Esta atividade é importante para o desenvolvimento da nação. Manter atualizada a documentação e determinar precisamente a quem pertence o imóvel é um desafio. Nos últimos anos, as técnicas de levantamento têm evoluído significativamente com relação aos métodos de Posicionamento GNSS (Global Navigation Satellite System). A partir da segunda edição da Norma Técnica para Georreferenciamento de Imóveis Rurais do INCRA (NTGIR), o Posicionamento por Ponto Preciso (PPP) passou a ser aceito como método de processamento de dados GNSS. Neste trabalho foram avaliados os efeitos do multicaminhamento e do tempo de rastreio para a determinação de pontos de limites da NTGIR utilizando o método PPP. Os resultados foram avaliados com base nos indicadores MP1 e MP2 e nos gráficos de PDOP e foram, em sua maioria, adequados à precisão dessa norma. Foi observado que a maior influência do efeito do multicaminhamento ocorre na portadora L2. Ressalta-se que, apesar deste fato, é importante utilizar receptores de dupla frequência para a coleta dos dados para o PPP para que os efeitos de primeira ordem da ionosfera sejam modelados. Recomendam-se para trabalhos futuros mais avaliações do efeito do multicaminhamento em ambientes onde os sinais dos satélites não alcançam diretamente o receptor e que apresentam superfícies refletoras ou bloqueadoras dos sinais e a construção de mapas de obstruções e testes estatísticos para que seja analisada também a acurácia dos pontos.
Cultivo de Artemisia absinthium L. sob concentrações de solução nutritiva em hidroponia
Authors: Luz Jose Magno Queiroz , Oliveira Roberta Camargos , Aguilar Ariel Santivañez , Santos Tatiane Nogueira
Published: March 2018

Losna ou absinto (Artemisa absinthium L.) é uma espécie utilizada desde a antiguidade devido a seu princípio ativo medicinal, com destaque no cenário atual por sua capacidade de fornecer substâncias úteis à indústria.  Estudos sobre a produção de plantas medicinais em hidroponia podem encontrar alternativas viáveis para otimizar a produção, especialmente por fornecerem dados sobre o crescimento e produção. Neste contexto, objetivou-se avaliar o desenvolvimento do absinto sob concentrações de solução nutritiva e posição das plantas no perfil hidropônico, em sistema hidropônico NFT. O experimento foi conduzido entre os meses de abril e agosto de 2009 em delineamento de blocos ao acaso com cinco repetições, em esquema fatorial 4 x 3.  Foram avaliadas altura, massa fresca e seca da parte aérea e de raízes. As plantas tiveram seu crescimento inicial em espuma fenólica e foram irrigadas com solução nutritiva diluída a 50 %. Após transplantadas para as bancadas de desenvolvimento, foram submetidas aos tratamentos: concentrações de solução nutritiva (50, 75, 100 e 125 %) e posições das plantas nos perfis hidropônicos (inicial, intermediária e final). A solução nutritiva a 50 % foi considerada a melhor opção de cultivo para absinto, uma vez que concentrações maiores não refletem em desenvolvimento significativo. Portanto, a redução pode ser utilizada sem comprometer a produção de biomassa, com economia de recursos naturais e financeiro.
Social Tendencies of Poets, Case Study: Hatam1 Taei’s Poetry
Authors: Hosseini Fatemeh
Published: March 2018

A well-known Arab man, Hatam Taei was a generous, catholic, chivalrous, bountiful man in the pre-Islam period and the Arabs set him as an example of generosity and munificence. He was one of the most generous men of that time and the reputation of his bounty and benevolence is still widespread in all corners of the world. Not only known for generosity among Arab people, but also in other nations’ literatures, his name has been welcomed by poets and used with the hospitality and magnanimity attributes, thus embellishing their works. His poems are full of descriptions for generosity and benevolence and humanitarian characteristics as well as high moral and religious teachings. In the present paper, it was attempted to investigate humanitarian and social characteristics in Hatam Taei’s poems including chastity, hospitality, good fame, tolerance and patience, forgiveness, and lack of interest in worldly commodities.
Crónica Comunitaria: Actualidad institucional y económica de España en el marco de la Unión Europea (Enero 2018)
Authors: Iñarritu Beatriz
Published: March 2018

Sumario: I. Introducción.—II. El Estado de la Integración.—III. Cuestiones generales de la actualidad económica.Publicación en línea: 28 marzo 2018
Ciudades en la Unión Europea. Proceso de integración, Política de Cohesión y gobernanza futura
Authors: San Salvador del Valle Doistua Roberto , De Miranda Leschko Geana , Matovic Milica
Published: March 2018

El proceso de integración y la Política de Cohesión de la Unión de Europea se preocupan, fundamentalmente, por las realidades estatales, protagonistas del proceso. Pero, la búsqueda de un desarrollo armonioso que reduzca las diferencias entre regiones se va abriendo paso en la agenda comunitaria. Desde el propio texto del Tratado de Roma hasta el vigente Tratado de Lisboa, desde el primer documento sobre política regional de 1965, pasando por la creación de los Fondos Estructurales (1989) y de Cohesión (1994), hasta el vigente programa INTERREG V(2014), la Europa de las Regiones ha ido consolidando su posición en la Europa de los Estados. Las ciudades, entes locales y municipios tendrán que esperar hasta 1994, a la estela del Tratado de Maastricht, para lograr un espacio dentro del complejo entramado de la Unión. Desde el primer URBAN (1994) hasta el Pacto de Amsterdam y la Agenda Urbana 2020 (2016), las ciudades han ido ganando protagonismo en la gobernanza multinivel comunitaria. En la actualidad, los retos de la Unión son, en gran parte, los retos a los que se enfrentan sus ciudades. Estamos ante el reto de una Europa de las Ciudades en el marco de una gobernanza glocal.Recibido: 23 enero 2018Aceptado: 29 enero 2018Publicación en línea: 28 marzo 2018
Dynamics of Associations Between Single Nucleotide Polymorphisms in Relation to Alzheimer's Disease Captured with a New Measure of Linkage Disequilibrium
Authors: Sys Stanislav J. , Fournier David , Horenko Illia , Endres Kristina , Gerber Susanne
Published: March 2018

Genome-Wide-Association-Studies have become a powerful method to link point mutations (e.g. single nucleotide polymorphisms (SNPs)) to a certain phenotype or a disease. However, their power to detect SNPs associated to polygenic diseases such as Alzheimer's Disease (AD) is limited, since they can only infer the pairwise relation of single SNPs to the phenotype and ignore possible effects of various SNP combinations. The common method to probe these possible complex genetic patterns is to compute a measure called linkage disequilibrium (LD). Despite the fact that several predictive patterns found with LD could successfully be applied to medical diagnosis, this measure still holds several drawbacks as for example the difficulty to confirm and replicate experimental results as well as its sensitivity to statistical biases. Here, we present the application of an alternative method, Linkage Probability (LP) for genetic pattern identification that provides the posterior probability of a relation between two categorical data sets and simultaneously considers potential biases from latent variables, such as the recombination rate or the genetic structure of a population. By applying the LP framework to data from the ADSP-Project, we show that changes of linkage patterns between SNPs can be associated to Alzheimer's disease. Common genomic relation measures still fail to extract this link.
Commercial Policy’s Trade Facilitation Effects on Cost of Operations as Determinants of Multinational Corporations Employability
Authors: Olufemi Amos Akinbola , Abdulraheem Issa , Aminu Nassir Brimah
Published: March 2018

This study examined commercial policy’s trade facilitation effects on employability of multinational corporations in Nigeria considering whether trade facilitation(TF), has a significant effect on the multinational Corporations employability expressed in cost of operation (COP). The study adopted cross sectional research design and considered 5 multinational corporations in the food and beverage and conglomerate sub-sector in Nigeria based on random sampling technique by employing primary data. The sample size constituted the lower, middle and senior level staff of the multinational Corporations at their headquarters and plants to achieve the objectives of this study based on the hypothesis that was formulated. Both descriptive and inferential statistical techniques were employed. The statistical tools used included cross tabulations, Mean, Regression and Correlation analysis with the aid of SPSS computer packages. The results showed that trade facilitation (TF) have significant effect on cost of operation (at P=0.000). In conclusion, the study reflected that each of the performance indicators under consideration related with commercial policy and employability implies the need for compliance by multinational corporations to be ensured as governmental follow up in areas of trade facilitation is pertinent to employment creation. The study recommends that; government is encouraged to continue to play her regulatory, facilitating and participatory roles to foster an enabling operating environment as it will contribute towards firm competitiveness in the domestic and global marketplace.
Prevalence of Intestinal Worm in Free Ranging Domestic Cats in Bali (PREVALENSI CACING USUS PADA KUCING PELIHARAAN YANG BEBAS BERKELIARAN DI BALI)
Authors: Subrata I Made , Oka Ida Bagus Made , Agustina Kadek Karang
Published: March 2018

The aims of this study were to identify and to measure the prevalence of intestinal worm infections in free-ranging domestic cats in Bali. As many as 133 cat fecal samples were collected from Bali and preserved in sodium acetic formaldehyde solution. Coproscopy method (sedimentation concentration and flotation techniques) was used to identify the eggs of helminthes. Based on fecal examination, eggs of four helminthes species : Toxocara, Ancylostoma, Cestoda and Capillaria were identified. This result indicates the prevalence of intestinal worms in free ranging domestic cats were high, consisting of Toxocara sp (71.43%), Ancylostoma  sp (37.59%), Cestoda (19.55%) and Capillaria sp (0.75%). Therefore, it is needed to conduct programs to reduce and eradicate that helminthes.

ABSTRAK

Penelitian ini bertujuan untuk mengidentifikasi jenis cacing dan mengukur prevalensi infeksi kecacingan pada kucing yang diliarkan di Bali. Sebanyak 133 sampel feses kucing yang berasal dari seluruh Bali dikumpulkan dan disimpan dalam larutan sodium acetic formaldehide. Seluruh sampel diperiksa secara koproskopi dengan dua metode berbeda yaitu metode konsentrasi sedimentasi dan metode pengapungan untuk mengidentifikasi telur cacing yang terdapat pada feses kucing. Pada penelitian ini teridentifikasi empat jenis cacing yang menginfeksi kucing yang diliarkan di Bali yaitu Toxocara, Ancylostoma, Cestoda dan Capillaria. Hasil penelitian ini menunjukkan bahwa prevealensi infeksi kecacingan pada kucing yang diliarkan di Bali masih tinggi, yaitu Toxocara sp (71,43%), Ancylostoma sp (37,59%), Cestoda (19,55%) dan Capillaria sp (0,75%). Untuk itu diperlukan program pemberantasan dan pencegahan terhadap infeksi kecacingan pada kucing di Bali.
Pengaruh Relaksasi Autogenik terhadap Penurunan Tekanan Darah pada Klien Hipertensi di Wilayah Kerja Puskesmas 23 Ilir Palembang Tahun 2015
Authors: Mardiono Sasono
Published: March 2018

Hypertension is an increasing arterial blood pressure which is abnormally persistent when systolic blood pressure equal to or greater than 140 mmHg and diastolic equal to or greater than 90 mmHg. Medical management of clients with hypertension were not only by pharmacological methods solely, but also by non-pharmacological treatments. One non pharmacology therapy technique, that can lowers blood pressure, was autogenic relaxation. Relaxation is autogenic relaxation specific which implies that you have the ability to control body functions, such as heart rate, blood pressure and blood flow. The design of this research was quasi experiment with the approach pre and post test only design. The purpose of this study was to determine the effect of autogenic relaxation to decrease blood pressure in hypertensive clients in the region of Palembang Ilir 23 health centers in 2015. The sample in this study was accidental sampling. Autogenic relaxation on the respondent performed three times and measured blood pressure as much as six times. Statistical test used T Dependent. The result of this research are there were some effects of autogenic relaxation namely the decreasing of blood pressure (p value = 0.000). It was concluded that there was effect of autogenic relaxation on decreasing blood pressure of hypertension clients. Based on the results of this study are expected to autogenic relaxation techniques can be applied to lower blood pressure in hypertensive clients. And to disseminate the research results to the clients of hypertension, so people know the benefits of hypertension autogenic relaxation in lowering blood pressure.
Pengaruh Ekstrak Ketumbar (Coriandum Sativum) terhadap Perubahan Tekanan Darah Tikus Pasca Melahirkan
Authors: Utami Vina Nurul , Hadisaputro Soeharyo , Rahayu Sri
Published: March 2018

Hypertension is the most commont complication during pregnancy and delivery. It causes 5-10% maternal morbidity and mortality incorporate with bleeding and infection. The Maternal mortality rate caused by hypertension is about 23,95%. Coriander seeds contain flavonoid which work as antihipypertension and diuretic. This study was to examine coriander extract several dosage on decreasing systolic on post partum rats. An experimental study with randomized pre test and post test controlled group design obvserved 30 white rat Wistar Sp which divided into 5 groups randommly. Sphyngonanometer was applied to measure the blood pressure. Paired t-test, One Way ANOVA, and Repeated Measures ANOVA were administered for data analyses. Results showed that coriander extract on 10 mg/kg BB, 20 mg/kg weight and 30 mg/kgweights dosage affected to blood pressure changes on the rat (p 0.000 ), while 20 mg/kgweights and 30 mg/kgweight had no significant effects (p 0.900). It concluded that coriander estract on dosage 30 mg/kg weight and 20 mg/kg weight did not effect significantly to decreasing rat�s blood pressure. Measuring not only systole pressure was recommended for further studies.
Early Fetal Weight Estimation with Expectation Maximization Algorithm
Authors: Nguyen Loc , Ho Thu-Hang T.
Published: March 2018

Fetal weight estimation before delivery is important in obstetrics, which assists doctors diagnose abnormal or diseased cases. Linear regression based on ultrasound measures such as bi-parietal diameter (bpd), head circumference (hc), abdominal circumference (ac), and fetal length (fl) is common statistical method for weight estimation but the regression model requires that time points of collecting such measures must not be too far from last ultrasound scans. Therefore this research proposes a method of early weight estimation based on expectation maximization (EM) algorithm so that ultrasound measures can be taken at any time points in gestational period. In other words, gestational sample can lack some or many fetus weights, which gives facilities to practitioners because practitioners need not concern fetus weights when taking ultrasound examinations. The proposed method is called dual regression expectation maximization (DREM) algorithm. Experimental results indicate that accuracy of DREM decreases insignificantly when completion of ultrasound sample decreases significantly. So it is proved that DREM withstands missing values in incomplete sample or sparse sample.
Improved Gas Lift Valve Performance Using a Modified Design for Gas Lift Valve Seat
Authors: Elldakli Fathi , Soliman Mohamed Y. , Shahri Mehdi , Winkler Herald , Gamadi Talal
Published: March 2018

Laboratory-gas dynamic throughput testing indicates that each injection-operated gas lift valve (GLV) often does not open fully in actual operation, mainly because of the bellows-stacking phenomenon. This paper addresses such issues and recommends a simple but effective solution. A modified design for the GLV seat was created to reduce the required stem travel to generate a flow area equal to the port area.

This paper details the new design, theoretical calculations, and experimental results. Theoretical calculations showed that the minimum stem travel for the modified design improved from 10 to 58% compared with using a conventional sharp-edged seat. The experimental results showed that for the same amount of stem travel, the modified design provides a larger flow rate than the sharp-edged seat.
Comparative Study of Pressure Wave Mathematical Models for Hp Fuel Pipeline of Ceup at Various Operating Conditions
Authors: Hayat Qaisar , Li-Yun Fan , Ma Xiu-Zhen , Bingqi Tian
Published: March 2018

High pressure (HP) Fuel Pipeline is one of the major components of Combination Electronic Unit Pump (CEUP) fuel injection system which has important role in building up of fuel pressure necessary for fuel injection. Three different 1D mathematical models of damped wave equation (WE) namely linear damped, viscous damped and damped model have been developed in MATLAB to investigate fuel pressure inside HP fuel pipeline of CEUP fuel injection system at various operating conditions of diesel engine. Lab experiments have been conducted to measure the pump side and injector side pressures by using KISTLER 4067 piezoresistive pressure sensors under controlled environment. Each model has been verified by comparing its simulated results with those of experimentally verified AMESim numerical model of CEUP system. Model evaluation statistical techniques like “Root Mean Square Error” (RMSE) and “Index of Agreement” (IA) have been used to quantify the predicted results of each mathematical model at various operating conditions. From analytical and quantitative analysis it has been concluded that viscous damped mathematical model predicts more accurately as compared to rest of models specially at all combinations of cam rotational speeds and cam angles of 700rpm, 1100rpm and 6°CaA, 10°CaA and 14°CaA respectively. Damped mathematical model predictions have been found relatively more precise at cam angles of 6°CaA and cam rotational speeds of 900rpm and 1300rpm. Moreover linear model was accurate at cam rotational speed of 900rpm and cam angle of 14°CaA.
High-Accuracy Positioning Of Lathe Servo System Using Fuzzy Controllers Based On Variable Universe Of Discourse
Authors: Long Zuqiang , Yuan Yan , Xu Yuebing , Du Shehui
Published: March 2018

A novel fuzzy controller is proposed here to improve the positioning precision of servo system of CNC lathes. To utilize the high–accuracy potential of the VUD fuzzy controller, a grating–ruler was used as a sensor to measure the displacement of work pieces. Designing the VUD fuzzy controller involved five steps, i.e., setting up universes of discourse and parameters, selecting membership functions, designing a differential circuit, constructing a base of fuzzy rules, and defining a set of contraction-expansion factors. The method of lookup table was applied to construct the base of fuzzy rules via four typical input instructions, and the method of maximum strength to settle the conflicting rules properly. The experimental results show that the VUD fuzzy controller can be effective in controlling the position of work pieces.
Research On Lqr Zone Control Algorithm For Picking Robot Arm
Authors: Zhiyong Zhang , Lvwen Huang , Yang Xu , Xiaoting Zhang
Published: March 2018

abstract

This paper aims at improve the poor stability and the fluttering problems on picking apples for picking robot arm, we establish the dynamics model of Picking Robot Arm using Lagrange equation and divide the whole movement space of Picking Robot Arm into stretch area and picking area by analyzing the dynamic model. Making full using of the model, we put forward to the strategy based on the extension energy control and LQR Zone control. Furthermore, we solve the problem on ensuring the picking robot arm’s energy increasing for the picking stretch process. The energy stability control study on establishing the robust performance analysis and design in theory lays a foundation for other relevant stability study.
Analysis Of Non-Binary Fault Tolerant Event Detection In Wireless Sensor Networks
Authors: Jancee B Victoria , Radha S , Das Nandita
Published: March 2018

abstract

A distributed non-binary fault tolerant event detection technique is proposed for a wireless sensor network (WSN) consisting of a large number of sensors. The sensor nodes may be faulty due to harsh environment and manufacturing reasons. In the existing works on event detection, the detection of event is decided by only one threshold level. The objective of this paper is to extend the fault recognition and correction algorithm for non-binary event detection. The analysis presented here takes into account both the symmetric and non-symmetric error in a straightforward manner. In addition, simulation is done for symmetric error and 75 percentage of the errors can be corrected. The theoretical analysis shows that more than 95 percentage of symmetric errors can be corrected and almost 92 percentage of non-symmetric errors can be corrected (for k=2, i.e. half of the neighbors give correct decision), even when as many as 10 percentage of the sensor nodes are faulty.
Gis For Archeological Data
Authors: Ligang Cao , Xuben Wang
Published: March 2018

abstract

The digital system of Archaeology includes multi-scale non-destructive detection (NDD) of archaeological methods, data mining technologies and the GIS of archaeological detect. Heritage preservation is not just to protect the cultural relics which have been excavated. NDD method could detect archaeological artifacts and clarify the statues of cultural relics buried underground. Due to data mining algorithm we can obtain archaeological information via detection data. Finally, apply GIS technology to achieve the data management and data mining methods integrating. A whole new system of digital archaeology is built on the GIS platform by applying of data mining technology to realize a detection method and archaeological information mapping. The system has provided a complete technical support for the digital archaeology
Design of Digital Image Encryption Algorithm Based On Mixed Chaotic Sequences
Authors: Chen Wenqing , Wang Tao , Wang Bailing
Published: March 2018

Digital image scrambling is to transform a digital image, to make it unrecognizable and become another chaos images without obvious meaning. If the operator knows the algorithms, he can reconstruct the original image from the chaos image by using the certain algorithms. Image scrambling encryption technology that based on Chaos Theory encrypts the image data stream through using the chaotic signal. It has the advantage like high security, encryption speed, large key space, and good scrambling effect. This paper studies the “extraordinary Key” and “to be trivial key” that are in the chaotic sequences that is caused by Logistic map, thus presents a image chaotic encryption algorithm that is based on hybrid chaotic sequence. Firstly, the algorithm generate hybrid chaotic sequence through the key; then through generates the corresponding offset matrix and permutation matrix the discrete mapping; finally, do the implementation of wavelet transform to the image, do the digital image scrambling encryption in the transform domain. In order to measure the degree of scrambling, we propose a “scrambling degree” concept. Experiments confirmed that the encryption algorithm has good scrambling in nature, and achieved good encryption effect. It confirmed the degree of scrambling encryption can effectively reflect the effect of scrambling encryption of the algorithm.
Face Alignment Based On Semi-Active Appearance Mode
Authors: Yan Shiliang
Published: March 2018

In the information era, the technology of biological character recognition has attracted more and more attentions. In this paper, by investigating theories of active appearance model and inverse compositional image alignment algorithm, we mainly proposed a semi-active appearance model for face alignment based on improving the classical models in the aspects of computation complexity, easily suffering from light, angle and expression, and so on. Firstly, the model of active appearance and the algorithm of alignment are investigated. For the inefficiency of classic gradient descent method in the matching process, the inverse compositional image alignment algorithm is proposed. Then, through combining the active appearance model and Grey Level Co-occurrence Matrix, a novel semiactive appearance model is proposed, which has a simple calculation and higher accuracy of face alignment. Finally, experiments were designed to demonstrate the effectiveness of the proposed algorithms.
Simulation of the Leakage Effect In Capacitive Sensing
Authors: Schlegl Thomas , Bretterklieber Thomas , Mühlbacher-Karrer Stephan , Zangl Hubert
Published: March 2018

In the measurement of mutual capacitance between electrodes both the coupling and the leakage effect contribute to the measurement result whereas the leakage mode is dominant in the selfcapacitance mode. While the coupling effect is mainly defined by the geometry and material distribution close to the electrodes, the root cause or modulation of the leakage effect may be far away from the electrode. In this paper we demonstrate that the leakage mode concept allows for simulation of 3D problems in 2D. This is useful in applications such as Electrical Capacitance Tomography or object classification as it allows simplifying the computational complexity while providing additional information compared to the classical 2D approach.
Measurement And Analysis Of High Temperature Using Distributed Fiber Optic Sensor
Authors: Wang Yongjiao , Yang Bin , Liang Lei
Published: March 2018

In this paper the working principle and application status of distributed optical fiber temperature sensor, amplified spontaneous Raman scattering phenomenon and its time-domain characteristics are analyzed. A new measuring principle based on amplified spontaneous Raman scattering light pulse signal temperature effect is presented, and is applied to distributed optical fiber sensor systems. Noise inevitably exists in data collected by distributed optical fiber temperature sensing systems. According to the needs of high-temperature oil well testing, distributed high temperature single-mode fiber sensors and detection equipment are designed, and gives two-dimensional data of oil well temperature testing. Because of the weak Raman backwards scattered signal and serious noise disturbance, multi-resolution wavelet analysis and reconstruction method are adopted for the denoising of testing signal.
Multi-Agv Scheduling Optimization Based on Neuro-Endocrine Coordination Mechanism
Authors: Cai Qixiang , Tang Dunbing , Zheng Kun , Zhu Haihua , Wu Xing , Lu Xiaochun
Published: March 2018

To solve the problems of task scheduling and coordination control presented by a multi-AGV system, the mixed regional control model for the production task has been advanced. The architecture of multi-AGV task assignment and scheduling mechanism has been proposed by combining the mixed regional control model for the production task and the neuro-endocrine coordination mechanism. Hormones for manufacturing cell are secreted by the machine tool according to the information in the production task, and the task can be allocated to the most suitable machine according to the hormone concentrations of the manufacturing cell. The AGV’s hormones are secreted according to the AGV’s operation state. The AGV with the largest hormone concentration will be chosen to execute the transportation task, thus shortening the overall run time of the system. A series of scheduling simulation experiments are performed for some specific examples to demonstrate the feasibility and efficacy of the proposed approach. The results show that tasks can be allocated according to the current status of a machine tool and tasks can be scheduled according to the current state of the AGV system to maximize the efficiency of the AGVs as well as that of the overall system.
Design Of A Four-Wing Heterogeneous Fractional-Order Chaotic System And Its Circuit Simulation
Authors: Zhang Xiaohong , Sun Qiang , Cheng Peng
Published: March 2018

Integer orders differential system is a special case of fractional-order differential system. Integer orders chaotic system that we usually study is ideally approximate to realistic chaotic system. Fractional-order chaotic system has broader and changeable values of order and more complex dynamical behavior than integer order chaotic system. Thus, fractional-order differential equation can describe the nonlinear characteristics of actual chaotic system more exactly, which has more prominent research meanings and application value. This paper designs a new four-wing four-dimensional heterogeneous fractional-order chaotic system, when the values of fractional-order qi(i =1,2,3,4) are not identical( q1 = q2 = 0.9, q3 = q4 =0.8, in step size of 0.1), the attractors of this chaotic system will all show four-wing shapes in any direction. After analysis this chaotic system’s stability and existence, this paper also introduces a nonlinear state feedback controller, and adopts the chain shape circuit to conduct experiment simulation through Multisim software 10.0. The results of circuit simulation and Matlab numerical operation have the same chaotic attractor phase diagram. This demonstrates the effectiveness of this four-wing four-dimensional heterogeneous fractional-order chaotic system’s design and the feasibility of the feedback controller in the circuit; meanwhile, it provides referable bases for the application in actual circuits.
Research Of Multi Sensor Intelligent System Signal Fusion And Reconstruction
Authors: Yang Junjie , Chen Wenxiang , Fu Zhihe , Wu Wei , Xie Zhiping
Published: March 2018

This paper studies some key technology of multifunctional sensor signal reconstruction. The multifunctional sensor signal reconstruction problem, presented a multifunctional sensor signal reconstruction method based on B spline and the extended Caiman filter. The method of inverse model of the process was studied, gives a method to estimate signal reconstruction accuracy and computation. Genetic algorithm is proposed to balance the multifunctional sensor signal reconstruction accuracy and computation based on. In order to further reduce the sampling effort of large quantities of multifunctional sensor signal reconstruction, is proposed based on the reduction method clustering multifunctional sensor sample selection method, to select the reasonable distribution, suitable for inverse training data model. A new direction to study the theory of multi sensor information fusion is to design and analysis more efficient processing of multi sensor intelligent system is proposed and developed. With the continuous improvement of the intelligent system requirements, research on information fusion of multi-sensor system is affected by the people more and more attention.
Zigbee Transmission Power Dynamic Adjustment System Based On Fuzzy Control
Authors: Yuan Zhonghu , Hua Wenwu , Han Xiaowei
Published: March 2018

We designed a fuzzy controller for ZigBee equipment’s transmission power adaptive adjustment. The controller is based on RSSI (Received Signal Strength Indicator). It can make a dynamic adjustment on the transmitted power according to the fuzzy control rules. The fuzzy control is suitable to solve the problem which is difficult to deal with in building system mathematical model. What’s more, the fuzzy control system has perfect performance in response speed and antijamming capability. It’s convenient to embed in devices. In this paper we use Ti Company’s CC2530 chip as an experiment object. By using the fuzzy controller we keep the transmission power to the minimum. By this way, the energy consumption can be reduced on the premise of ensuring normal communication. The fuzzy controller system has a good steady-state and dynamic performance, and contributes to the ZigBee system’s stability and low power consumption performance.
Face Recognition Based On Improved Support Vector Clustering
Authors: Wang Yongqing , Liu Xiling
Published: March 2018

Traditional methods for face recognition do not scale well with the number of training sample, which limits the wide applications of related techniques. We propose an improved Support Vector Clustering algorithm to handle the large-scale biometric feature data effectively. We prove theoretically that the proposed algorithm converges to the optimum within any given precision quickly. Compared to related state-of-the-art Support Vector Clustering algorithms, it has the competitive performances on both training time and accuracy. Besides, we use the proposed algorithm to handle classification problem, and face recognition, as well. Experiments on synthetic and real-world data sets demonstrate the validity of the proposed algorithm.
Film Thickness Measurement Of Mechanical Seal Based On Cascaded Artificial Neural Network Recognition Model
Authors: Zhang Erqing , Fu Pan , Li Kesi , Li Xiaohui , Zhou Zhongrong
Published: March 2018

Mechanical seal end faces are separated by a thin fluid film. The thickness of this film must be optimized so as to preventing the serious friction of two end faces and minimizing the fluid leakage. The micro scope condition monitoring of end face is of importance to ensure mechanical seals run normally. A method for measuring the film thickness of end faces and detecting the friction of end faces of mechanical seal has been presented in this paper. Eddy current sensors embedded in the stationary ring of mechanical seals are used to directly measure the thickness of the liquid-lubricated film. The Eddy current signal is decomposed by empirical mode decomposition into a series of intrinsic mode function. The information reflecting the film thickness is obtained by eliminating the false intrinsic mode function components. Acoustic emission sensor placed on the lateral of stationary ring is used to detect the friction of end faces. In order to decrease the acoustic emission signal’s noise, wavelet packet and kernel principal component analysis are used to extract the data features. Then cascaded decision is presented to improve the recognition rate of artificial neural network, by which the film thickness can be estimated accurately. With a set of tests, the results demonstrate that the method is effective. It can be widely used to take measurement of the film thickness in industrial field.
Sound-Separation System using Spherical Microphone Array with Three-Dimensional Directivity—KIKIWAKE 3D: Language Game for Children
Authors: Nakadai Takahiro , Nakayama Tomohiro , Taguchi Tomoki , Egusa Ryohei , Namatame Miki , Sugimoto Masanori , Kusunoki Fusako , Yamaguchi Etsuji , Inagaki Shigenori , Takeda Yoshiaki , Mizoguchi Hiroshi
Published: March 2018

Mixed sounds can be separated from multiple sound sources using microphone array sensor and signal processing. We believe that promotion of interest in this technique can lead to significant future development in science and technology. To investigate this technique, we designed a language game for children called “KIKIWAKE 3D” that uses a sound-source-separation system to arouse children’s interest in this technology. However, the microphone array sensor in a previous research had a limited scope in separating sounds. We developed a spherical microphone array sensor with three-dimensional directivity designed for this game. In this paper, we report the evaluation of this microphone array sensor in adapting to this game by separating the sound level and using questionnaires.
Improving The Localization Of Electric Wheelchair By Using Particle Filter
Authors: Njah Malek , Jallouli Mohamed
Published: March 2018

The electric wheelchair for handicapped is used to improve the displacement of disabled persons. An automatic navigation system is needed to ensure greater autonomy and security for the disabled person. Automatic control system is added to a manual control for autonomous displacement. Initial system composed of two DC motors installed at the rear of used electric wheelchair, power module for the motors control and joystick to select speed and moving direction. We include an automatic control system composed by two electronic cards, based on microcontrollers CB405 and PIC16F877 for the signal acquisition from the encoders and distance measurements from ultrasonic sensors (SRF08 and SRF04). The ultrasonic sensors used to improve the localization when we use an automatic control system. Several techniques exist for sensors fusion solves the problems of mobile robots localization. Among these methods, we can quote the particle filter that use data from the encoders and measures from the ultrasonic sensors.
Security Method For Combination Steganography Algorithms On Transform Domain For Jpeg Images
Authors: Jaheel Hamdan L. , Beiji Zou
Published: March 2018

Steganography is the act of hiding a message inside another message in such a way that can only be detected by its intended recipient. In any communication, security is the most important issue in the world today. It created a lot of data security and steganography algorithms in the past decade, and that worked motivation for our research. In this paper, Security Method for Combination Steganography Algorithms on Transform domain for JPEG images, we have designed a system that will allow the average user to securely transfer secret messages (picture) securely by hiding them in JPEG image file using local characteristics within the image. This paper is a combination of two steganography algorithms, which provide a strong backbone for its security. The proposed system hides the image unrevealed manner through the use of steganography algorithms to protect each other, where was used F4 algorithm as a wall to protect outguess01 algorithm. We combine between steganography algorithms (outguess 0.1 algorithm and F4 algorithm) to make use of it to provide more than level of protection for the secret message (image). When save the secret message (image) within an image by using outguess01 algorithm, Which produces outguess-image, then hide outguess-image within another image by using F4 algorithm, Which produces F4-image(stego image). Adopt the principle of camouflage and deception to hide image gives another level of safety for secret Image. Good selection of size and type images used in the process of concealment that contributed to the success of the process of embedded and retrieval of hidden images. Results proved after calculating the capacity and PSNR for images that a good and acceptable steganography scheme. The model presented here is based on JPEG images.
Sharing Research Experiences Of Wsn Based Smart Home
Authors: Ghayvat H. , Nag A. , Suryadevara N. K. , Mukhopadhyay S.C. , Gui X. , Liu J.
Published: March 2018

We are pursuing our research on ZigBee based WSNs for more than 8 years; a lot of realization stories are conveyed in literature on the development of wireless measurement of sensors data using ZigBee (XBee RF module). Many projects are fruitfully completed for applications such as smart home for elder care, environmental monitoring, big building monitoring and so on. Still a lot of design issues are there while the systems are designed using ZigBees. In this research paper the working experiences which may support other researchers to achieve success without wasting resources are reported. Moreover, presented research analyses of some unusual observations made in a proto-typed smart home monitoring system have been discussed. Packet delivery ratio (PDR) and latency are among a few reliability issues that have been analysed and addressed in this article to make the system more robust.
Optimal Techniques For Sensing Error Minimization With Improved Energy Detection In Cognitive Radios
Authors: Muthumeenakshi K. , Radha S.
Published: March 2018

Spectrum sensing, the problem of detecting the presence of licensed user in the channel is considered in this paper. Energy detection is best suited for the spectrum sensing when prior knowledge about the primary users is unavailable. Existing works report improved versions of energy detection which primarily focuses on maximizing the detection performance. Sensing error minimization is an important aspect of spectrum sensing that needs attention. This paper focuses on the sensing error minimization of the improved energy detection algorithm in which the decision statistic is computed using an arbitrary positive index instead of squaring operation. First, an optimum decision threshold satisfying Minimum Error Bound (MEB) is derived. Next, an optimum value of the arbitrary positive index with minimum number of samples satisfying a Target Error Bound (TEB) is derived. A thorough numerical analysis and simulations are performed and the results confirm the accuracy of the analysis.
The Power of Social Cognition
Authors: Morgan Geoffrey P. , Joseph Kenneth , Carley Kathleen M.
Published: March 2018

As human beings, we understand and make sense of the social world using social cognition. Social cognitions are cognitive processes through which we understand, process, and recall our interactions with others. Most agent-based models do not account for social cognition; rather, they either provide detailed models of task-related cognition or model many actors and focus on social processes. In general, the more cognitively realistic the models, the less they explain human social behavior and the more computationally expensive it is to model a single agent. In contrast, in this research an agent-based model containing an explicit model of social cognition is developed. Results from this model demonstrate that adding social cognition both improves the model veridicality and decreases computation costs.
The Invisible Contours of Online Dating Communities: A Social Network Perspective
Authors: Felmlee Diane H. , Kreager Derek A.
Published: March 2018

This study analyzed the e-mail exchange network of participants of a national dating website. The investigation examined whether aggregated partner preferences give rise to distinct, “invisible,” clusters in online dating networks that structure dating opportunities and result in homophilous subgroups. The findings identified and visualized the ten largest network clusters of participants who interacted with each other and examined the dater characteristics most responsible for cluster membership. Rated attractiveness and age were the strongest cluster correlates, whereas education and race were relatively uncommon determinants. In sum, daters’ interdependent actions created aggregate communities unseen by the users themselves, but no less influential for dating opportunities, that were based more on attractiveness and age than on race and education.
Spatio-temporal data mining and modeling: distribution pattern and governance input efficiency of heavy metal emission in industrial wastewater, China
Authors: Li Xinjian , Qiao Hong , Wang Rui , Li Fei , Li Xiaoling
Published: March 2018

Heavy metal (HM) in industrial wastewater has been one of the serious environmental issues in China for a long time. This paper analyzes the distribution of HMs and governance input efficiency in industrial wastewater based on the archival data of China Statistical Yearbook on Environment from 2001 to 2014. The empirical analysis shows that the concentrations of Hg, Cd, Pb, As, and Cr(VI) generally decreased from 2001 to 2014. The emissions of Hg, Cd, Pb, and As are mostly concentrated in the central provinces (i.e., Hunan, Hubei, Jiangxi), the southern provinces (i.e., Guangxi and Guangdong), and the northern provinces (i.e., Gansu and Inner Mongolia). The distribution pattern is closely related to local industry due to resources dependence, such as mining and processing of non-ferrous metal ores, smelting and pressing of ferrous or non-ferrous metals. Cr(VI) is mainly located in the eastern coastal provinces, including Zhejiang and Jiangsu, and caused by manufacturing industries such as automobile, metal products, leather, fur, feather and related products, and footware. Furthermore, we find that the annual expenditure on and the capacity to deal with industrial wastewater play significant negative effects on reducing HM concentrations in industrial wastewater.
Sobre a temática "Responsabilidade social" na literatura da Ciência da Informação indexada pela Brapci
Authors: Freire Isa Maria
Published: March 2018

Apresenta resultados de pesquisa sobre emergência de produção científica publicada em periódicos sobre a temática  no campo da Ciência da Informação, no Brasil. Discorre sobre o contexto teórico das ciências sociais e o modelo de rede conceitual proposto por Wersig (1993) para a Ciência da Informação. Relata o processo de pesquisa, que adotou o método indiciário e o brauseio como instrumentos para a identificação dos indícios de produção sobre a temática na literatura indexada pela Base de Dados Referencial de Artigos de Periódicos em Ciência da Informação - Brapci. Conclui que nos últimos 13 anos a produção sobre a temática vem crescendo na literatura brasileira, em número de autores e artigos, os quais abordam temas relacionados à epistemologia (responsabilidade social como fundamento da Ciência da Informação), à teoria (ações de política e gestão na sociedade da informação) e da aplicação (em unidades e para profissionais da informação).
AARON SWARTZ AND THE SPIRIT OF INFORMATION
Authors: Day Ronald E.
Published: March 2018

Today, I will discuss aspects of my project on the Spirit of Information. I will present part of a chapter of a new book that I am working on documentation and expression, where I discuss information as an attempt to break away from documentation during modernity and today. AARON SWARTZ E O ESPÍRITO DA INFORMAÇÃOResumo Hoje vou discutir aspectos do meu projeto sobre "O espírito da informação". Irei apresentar parte do capítulo de um novo livro em que estou trabalhando sobre documentação e expressão, onde discuto a informação como uma tentativa de romper com a documentação durante a modernidade e hoje.