bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deteksi Gen Resisten Insektisida Organofosfat pada Aedes aegypti di Banyuwangi, Jawa Timur Menggunakan Polymerase Chain Reaction
Authors: Yudhana Aditya , Praja Ratih Novita , Yunita Maya Nurwartanti 
Published: March 2018

Banyuwangi is still listed as areas not completely free from hemorrhagic dengue fever outbreak. Changes in the genome of Aedes aegypti mosquito as the main vector of dengue virus is estimated to be the cause of difficulty in controlling the disease. Expression of Voltage Gated Sodium Channel (VGSC) genes can be used as an important indication of Aedes aegypti mosquitoes resistancy to certain groups insecticides. The purpose of this study was to detect the Voltage Gated Sodium Channel (VGSC) genes coding in Aedes aegypti using Polymerase Chain Reaction (PCR); as it is related to the mechanism of resistance to organophosphate insecticides groups. Results of resistency by susceptibility test showed that Aedes aegypti mosquito samples from three district ie. Tegaldlimo, Purwoharjo, and Banyuwangi were resistant to malathion 0.8% insecticide (organophosphates group). PCR results detected gen band with 250 bp length, which confirmed that insecticide resistance gene has been detected in the tested samples. Based on this study results, it is recommended to use alternative insecticides apart from organophosphate group for dengue vector control in Banyuwangi.
ABSTRAK
Kabupaten Banyuwangi masih tercatat sebagai daerah yang belum sepenuhnya bebas dari wabah demam berdarah dengue (DBD). Perubahan genom nyamuk Aedes aegypti sebagai vektor utama virus dengue diperkirakan menjadi penyebab sulitnya pengendalian penyakit DBD. Ekspresi gen Voltage Gated Sodium Channel (VGSC) dapat dijadikan indikasi penting sejauh mana perkembangan nyamuk Aedes aegypti resisten terhadap insektisida golongan tertentu. Tujuan penelitian ini adalah untuk mendeteksi gen penyandi VGSC pada nyamuk A. aegypti yang berkaitan dengan mekanisme resistensi terhadap insektisida golongan organofosfat menggunakan teknik Polymerase Chain Reaction (PCR). Hasil uji resistensi susceptibility test menunjukkan sampel nyamuk A. aegypti dari tiga kecamatan di Kabupaten Banyuwangi yaitu Kecamatan Tegaldlimo, Purwoharjo, dan Banyuwangi resisten terhadap insektisida malathion 0,8 % (kelompok organofosfat). Hasil deteksi gen melalui PCR didapatkan band yang muncul dengan panjang 250 bp. Hal tersebut menunjukkan bahwa gen pembawa resistensi insektisida (VGSC) telah terdeteksi pada sampel yang diuji. Berdasarkan hasil penelitian, disarankan untuk pengendalian vektor DBD di Kabupaten Banyuwangi dengan menggunakan alternatif insektisida selain dari golongan organofosfat.
Visualization of Fluid Flow Through Cracks and Microannuli in Cement Sheaths
Authors: Skorpa Ragnhild , Vrålstad Torbjørn 
Published: March 2018

Summary
Cement-sheath integrity is important for maintaining zonal isolation in the well. The annular-cement sheath is considered to be one of the most-important well-barrier elements, both during production and after well abandonment. It is well-known, however, that cement sheaths degrade over time (e.g., from repeated temperature and pressure variations during production), but the link between leak rate and the cause of cement-sheath degradation has not yet been established.
In this paper, we have studied fluid flow through degraded cement sheaths. The degree of degradation of the cement sheaths varied from systematically connected cracks to real microannuli. The leak paths, created by thermal-cycling experiments, were imported into a computational-fluid-dynamics (CFD) simulation software. The pressure drop over the cement sheath was used as a boundary condition, and the resulting pressure-driven flow was studied using methane gas as the model fluid. The Forchheimer equation was used to estimate the effective permeability of the cement sheaths with defects.
Our results show that the pressure-driven flow is complex and greatly affected by the geometry of the flow paths. A nonlinear pressure-buildup curve was observed for all experimental cases, indicating that Darcy's law was not validated. For homogeneous microannuli, the pressure-buildup curve was linear. The estimated effective permeability for all cases was observed to be orders of magnitude larger than that of a good cement sheath.
Present Research Situations And Future Prospects On Biomimetic Robot Fish
Authors: Liu Hongli , Tang Yufeng , Zhu Qixin , Xie Guangming 
Published: March 2018

abstract
As mankind steps into the 21st century, the exploration of the ocean also enters a new phase. In the recent decades, the research on biomimetic robot fish has attracted scientific communities’ attention increasingly. With its character of high flexibility and intelligence, biomimetic robot fish have become one of the research focuses in the field of underwater robots in recent years. This paper mainly describes the classification of propulsion modes and the corresponding characteristics, the international research situation, the open problems and future research issues for biomimetic robot fish.
Sensor Performance Of Cantilevered Magnetostrictive Beam
Authors: Qinghua Cao , Dingfang Chen , Quanguo Lu , gang Tang , Jianwu Yan , Zhifang Zhu , Bin Xu , Ran Zhao , Xiaoxing Zhang 
Published: March 2018

abstract
A nonlinear couple modeling of magnetostrictive cantilever is built by combining Gibb’s free energy formulation with the Euler-Bernoulli beam theory. The Gibb’s free energy corresponding to different orientations in 3D space can be expressed in terms of their direction cosines, the stress at a given point can be described by classical theory. The magnetomechanical bending experimental setup is designed. The results demonstrated magnetostrictive sensing can be performed in bending even when both tensile and compressive stresses are developed; meanwhile the sensing is primarily due to the dominating effect of compression over tension.
Development Of Smart Detachable Wireless Sensing System For Environmental Monitoring
Authors: Bhattacharjee D. , Bera R. 
Published: March 2018

abstract
We present the work on development of Smart Detachable Wireless Sensing System for environment monitoring (SDWSS) complying with the IEEE 1451 standard. Barometric and alcohol two different detachable smart sensor have been developed by incorporating generic transducer, customized peripheral interface controller (PIC) 18LF2550 microcontroller and with other peripherals. Detachable smart transducer interface module (DSTIM) implemented using centralized PIC 18F4550 microcontroller based embedded platform, and wireless communication is achieved by 2.4 GHZ XBEE, and CC2500 based wireless module. Various intelligent power management protocols have been implemented on the detachable sensors. This is a flexible cost effective smart system ideal for distributed environment monitoring application.
Unmanned Aerial Vehicle Path Planning Based On Tlbo Algorithm
Authors: Yu Guolin , Song Hui , Gao Jie 
Published: March 2018

abstract
Path planning of unmanned aerial vehicle (UAV) is an optimal problem in the complex combat field environment. Teaching-Learning-Based Optimization (TLBO) algorithm is presented under the inspiration of the teaching-learning behavior in a classroom. In this paper, this algorithm is applied to design a path by the search angle and distance, by which a better path at higher convergence speed and shorter route can be found. Finally experimental comparison results show that TLBO algorithm is a feasible and effective method for UAV path planning.
Frequency Processing And Temperature-Pressure Compensation Of The Vortex Flowmeter Based On Two-Phase Flow
Authors: Haining Zhang , Yonghui Ren 
Published: March 2018

abstract
Aiming at a new type and multi-functional intelligent vortex flowmeter integrating system, which implicates whether it is liquid, gas, steam or the mixture of oil and gas, or in special conditions such as high temperature, high pressure, the medium can be measured intelligently. Especially for mixed media by TPF (Two-phase Flow), such as oil and gas, water vapor, firstly separates the mixed fluid through the gas-liquid separation device, and then rolls up the vortex signal, temperature and pressure of separated fluid into one, and finally a stable and accurate result is obtained by inputting the mixed signal through the integrating system. Thus, the applicability and reliability of the flowmeter can be greatly enhanced, which ensures the authenticity and stability of the measurement data about the fluid.
Pre-Processing Of Automatic Skin Cancer Detection System: Comparative Study
Authors: Hoshyar Azadeh N. , Jumaily Adel .A. , Hoshyar Afsaneh N. 
Published: March 2018

abstract
Skin cancer is increasing and effect many people in different part of the world. Malignant melanoma as the deadliest type of skin cancer can be treated successfully if it detected early. Automatic detection is one of the most challenging research areas that can be used for early detection of such vital cancer. Over the last few years, many automatic diagnosis systems been suggested by different researchers targeting increasing of the diagnosis accuracy. This paper presents a quick review on the design of whole system and focus in preprocessing step of the automatic system. Preprocessing as the basis of automation system plays a vital role for accurate detection. This paper implements three techniques of contrast enhancement in the framework of three methodologies to find out the most effective one for further processing. The quality of resulted images in each methodology has been found based on testing the skin cancer images database using three image quality measurements.
Empirical Mode Decomposition And Rough Set Attribute Reduction For Ultrasonic Flaw Signal Classification
Authors: Wang Yu 
Published: March 2018

abstract
Feature extraction and selection are the most important techniques for ultrasonic flaw signal classification. In this study, empirical mode decomposition (EMD) is first used to obtain the intrinsic mode functions (IMFs) of original ultrasonic signals. Such IMFs and traditional time as well as frequency domain based statistical parameters are extracted as the initial features of flaw signal. After that, spectral clustering method is used for feature value discretization so that rough set attribute reduction (RSAR) can be applied to implement feature selection. Finally, the selected features are taken as input of artificial neural networks (ANNs) to train the decision classifier for flaw identification. Experimental results show that compared to conventional wavelet transform based schemes and principal components analysis, EMD combined with RSAR can improve the performance of feature extraction and selection. Using such hybrid scheme can effectively classify different ultrasonic flaw signals with high accuracy and low training elapsed time.
A Scene Recognition Algorithm Based On Multi-Instance Learning
Authors: Wang Tao , Chen Wenqing , Wang Bailing 
Published: March 2018

Abstract
In Bag of Words image presentation model, visual words are generated by unsupervised clustering, which leaves out the spatial relations between words and results in such shorting comings as limited semantic description and weak discrimination. To solve this problem, we propose to substitute visual words by visual phrases in this article. Visual phrases built according to spatial relations between words are semantic distrainable, and they can improve the accuracy of Bag of Words model. Considering the traditional classification method based on Bag of Words model is vulnerable to the background, block and scalar variance of an image, we propose in this article a multiple visual words learning method for image classification, which is based on the concept of visual phrases combined with Multiple Instance Learning. The final classification model is able to show the spatial features of image classes. Experiments performed on standard image testing sets, Caltech 101 and Scene 15, show the satisfying performance of this algorithm.
Research and Restoration Technology of Video Motion Target Detection Based on Kernel Method
Authors: Feng Pan , Xiaojun Wang , Weihong Wang 
Published: March 2018

Abstract
In recent years, due to the video surveillance applications more and more widely, people are not satisfied with the goal of monitoring, and the video monitoring technology of intelligent video moving object detection and tracking technology has received extensive attention. The research work in this paper is in the field, the moving target detection spatiotemporal correlation and difference contour tracking algorithm based on a fixed background. The algorithm in the background under the condition of fixed to pay a smaller time complexity, the target detection and tracking has a good effect, so it has higher application value. In this paper, the prospect of caused motion detection of occlusion background foreground correlation problem, put forward the video moving object detection method based on kernel independent component analysis, canonical correlation to minimize the component in the high dimensional feature space in order to separate the foreground nuclear background. Independent component analysis assumes that the foreground and background independent, avoid the correlation problem. The two objective functions based on Kernel Independent Component Analysis: analysis of kernel independent component analysis based on kernel canonical component (KCCA) and kernel independent component analysis (KGV) based on the generalized variance. KCCA is the application of canonical correlation analysis in the kernel method, discuss is the first canonical correlation separation component of high dimensional map, and KGV are typical correlation between the components in the high dimensional space of the whole spectrum. Both KCCA and KGV improved the accuracy of motion detection.
A Self-Adaptive Data Balance Protocol For Distributed Radio Frequency Identification Sensor Network
Authors: Liew Charles Z. , Shaw Raymond P. , Zhang Ting-Ting 
Published: March 2018

Abstract
In this paper, we share our recent work related to Radio Frequency Identification (RFID) sensor network with readers. The work mainly focus on the protocol for network system to perform the task of autonomous decentralized data distribution with consideration of economic and low-power RFID-sensor module scheme. We analyzed data pitfall in distributed RFID-sensor network, revealing the reason lies in the phenomenon. A distributed solution to tackle the problem has been designed in a simple way. The test results show that the system with proposed approach provides an efficient and more balanced in data distribution which proves the protocol is feasible for the application scenario.
Orientation Of A Triaxial Accelerometer Using A Homogeneous Transformation Matrix And Kalman Filters
Authors: V. J.-S. Botero , Hernández W. , Fernández E. 
Published: March 2018

Abstract
The evolution in the development of manufacturing techniques of electronic components, including accelerometers, has allowed access to a new field of research and applications in consumer electronics. The aim of this work is to present a method for aligning triaxial accelerometers, finding the parameters of the rotation, the translation and the scale of the homogeneous transformation matrix. In principle, it is necessary to acquire six points to build the frame of reference of the accelerometer and ensure the consistency of the measurements, in order to check the angle between the axis and the magnitude. Subsequently, using spatial geometry, the intersection of the system of reference is estimated, to determine the extent of translation in the homogeneous transformation matrix. In a further step, the rotation values of the matrix are generated by taking the orientation of the z-axis into account and, finally, the resulting factor is scaled to normalize the magnitude value of gravity. Using the transformation matrix, it is possible to align the original reference system of the accelerometer to another coordinate system. The satisfactory results of this experiment show the need of implementing the here described method to enable the use of variable tilt measurements.
Applications Of Compressive Sensing Over Wireless Fading Channels
Authors: Wang Shan , Hu YongHong , Zhou HaoJun , Sun Yu , Yan TingYa , Zhang Chi 
Published: March 2018

Abstract
Wireless fading channels exist mixed noise, the most common noises are gaussian noise and impulse noise, to ensure the quality of the received signal, removing the noise in the channel is very important and necessary. WSDN (wavelet soft-threshold de-noising) can suppress low-intensity gaussian noise well; unfortunately, the denoising effect in removing impulse noise using WSDN is not obvious, especially when noise intensity is relatively high. BPDN (Basis Pursuit Denoising) which is a reconstruction algorithm of compressive sensing can control high-intensity gaussian noise in the channels well preceding WSDN, but also the effect of BPDN denoising the common impulse noise is not obvious, to denoise impulse noise, we adopt IBPDN (Improved Basis Pursuit Denoising) that changes L2 form to noise to L1 form, which was proposed in 2006 by Guosheng Bing. The experimental data show that IBPDN has good anti-noise ability to both gaussian noise and impulse noise; furthermore, more satisfactory results are obtained using IBPDN to mixed noise than those with BPDN.
Research On Wtg Power Performance Monitoring Methods Of Regional Wind Power Group
Authors: Jianhong Zhu , Fei Ma , Juping Gu 
Published: March 2018

Abstract
With growth of the wind power scale and the increasing of urgent requirement on operating life extension of units followed with which, how to monitor regional wind power group automatically and find recession performance of WTG power so as to take measures timely to restore the health condition and reduce power losses has become an important problem to be solved by wind farm operators. Horizontal and longitudinal performance comparison methods of the power characteristics for the same area and model units are proposed in this paper. Different real-time monitoring and analysis methods are used. The core technology of which is using wind speed partitioning technology and Wavelet analysis. Longitudinal power performance monitoring comparison method of single-unit is used as a further preferred aspect scheme of information fusion. Research results are verified by Matlab simulation platform. The study results integrated with the developed centralized monitoring system software, can improve the efficiency of wind farm operation and monitoring in large degree, further ensure the profitability production for wind farm plants.
Research On Underwater Target Signal Detection And Recognition Processing Algorithm
Authors: Wang Lijuan , Liu Xiaojing 
Published: March 2018

Abstract
Practical application of underwater target echo signal usually get disturbed a Gaussian noise and non-Gaussian noise, in view of the signal recognition problem, this paper proposes a double spectrum analysis based on wavelet transform domain method of weak signal and D-S data fusion algorithm. Through the study of double spectrum of the wavelet transform domain analysis to the signal processing algorithm, the characteristics of the target signal and noise source signal, a processing method of underwater target signal de-noising was presented. For multiple underwater target recognition, the model of underwater target multi-sensor signal recognition was studied. On the basis of analyzing the principle of D-S method and the fusion of multiple signal recognition, the concrete measures of D-S data fusion reasoning was researched and analyzed. By using the combination of simulation calculation and experiment measures, the results show the signal processing method is correct.
The Smart Home System Based on the Iap15F2K61S2 and Gsm
Authors: Zhenghua Xin , Guolong Chen , Li Hong , Song Qixiang , Hu Liangyi , Lei Chen , Youwen Mao , Yexiang Xu 
Published: March 2018

Abstract
At home, there are all kinds of electrical devices. Also the gas may leak to fire. Once the danger happens, it will result in the huge losses. The smart home system is necessary for the safety. The system integrated the sensors to monitor the appliances whether they work normally. Once the exceptions have been tested, the owner can get the text massage immediately with the help of GSM. This system has a light cube. It has 512 lights. After test, this system works to monitor the home appliances very well at the low cost.
Centralized Discrete State Space Model Predictive Control And Decentralized Pi-D Controller Of An Aerothermic Process
Authors: Ramzi M. , Youlal H. 
Published: March 2018

Abstract
The aerothermic process is a pilot scale heating and ventilation system equipped with a heater grid and a centrifugal blower. The interaction between its main variables is considered as challenging for mono-variable controllers. A change in the ventilator speed affects the temperature behavior which represents a factor that must be managed for energy saving and the human welfare. This paper presents an experimental comparison between a Centralized Discrete State Space Model Predictive Control (CDSSMPC) and a Decentralized PI-D (DPI-D) controller. These both techniques are designed by using respectively the Laguerres functions and the static decoupler approach. To demonstrate the effectiveness of the two methods, an implementation on an aerothermic process is performed. This pilot scale is fully connected through the Humusoft MF624 data acquisition system for real time control. The results show satisfactory performance in closed-loop of the DPI-D controller compared to the CDSSMPC and the conventional PID ones.
Coverage Holes Recovery Algorithm Based On Nodes Balance Distance Of Underwater Wireless Sensor Network
Authors: Jing Hengchang 
Published: March 2018

Abstract
Underwater wireless sensor network nodes deployment optimization problem is studied and underwater wireless sensor nodes deployment determines its capability and lifetime. Underwater wireless sensor network if no wireless sensor node is available in the area due to used up energy or any other reasons, the area which is not detected by any wireless sensor node forms coverage holes. The coverage holes recovery algorithm aiming at the coverage holes in wireless sensor network is designed in this article. The nodes movement is divided into several processes, in each movement process according to the balance distance and location relations move nodes to separate the aggregate nodes and achieve the maximum coverage of the monitoring area. Because of gradually increasing the balance distance between nodes, in each movement process the nodes moving distance is small and reduce the sum of the nodes movement distance. The simulation and experimental results show that this recovery algorithm achieves the goal of the nodes reasonable distribution with improving the network coverage and reducing the nodes movement distance thus extends the lifetime of the network in the initial deployment phase and coverage holes recovery phase.