bluuebunny/crossref_metadata_2025_split huggingface dataset:
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.
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.
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

Summary
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.