bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Robust Model To Simulate Dolomite-Matrix Acidizing
Authors: Ali M. T. , Nasr-El-Din H. A. 
Published: June 2018

Summary
The two-scale model for simulating carbonate acidizing has gained substantial attention recently. Five studies dealt with matching experimental data studying regular acid. Four studies considered limestone samples, while the fifth examined one dolomite core with face dissolution. The previous work only considered the pore volume (PV) to breakthrough (PVBT) to match experimental results. Researchers assumed linear kinetics for hydrochloric acid (HCl) carbonate reaction and relied on changing Carman-Kozeny exponents to match experimental data.
Unlike previous studies, experiments were performed on 6-in.-long and 1.5-in.-diameter vuggy-dolomite cores at two sets of temperatures (150 and 200°F) and acid concentrations (15 and 20 wt% HCl). Computed tomography (CT) was used to scan the cores when dry, wet, and after acidizing. Porosity distribution calculated from the dry and wet scans was used to build a rectangular model with the cylindrical core inscribed inside. Nonlinear reaction kinetics were applied. The acid-reaction rate and diffusion coefficient were modified on the basis of X-ray-fluorescence (XRF) results and effluent chemical analysis. Wormhole 3D shape and experimental PVBT were used to assess the quality of model results.
The tuned model was used to simulate a hypothetical 18-in. core as well as large-scale radial experiments to assess its prediction capabilities, and finally the model was used to predict the dolomite-acidizing performance under field conditions.
The simulation runs emphasize that the exclusion of the wormhole shape and branching from the matching process results in an unrealistic match. It is important to simulate the cylindrical shape of the core using the actual porosity distribution to capture the wormhole growth, which is increasingly important when the wormhole propagates near the core perimeter. The present study highlights that matching parameters using experimental data yields a trustworthy model that matches both PVBT and wormhole spatial propagation. Accordingly, there is no need for excessively changing the Carman-Kozeny correlation exponents to match the dolomite-acidizing experiments.
The current model accurately matches the wormhole propagation inside the core along with the PVBT. This model can be tuned using a few acidizing experiments and then can be used to generate an acid-efficiency curve with a high degree of confidence, thus avoiding the extra experimental cost.
The current model was able to match two sets of experiments and follow the experimental trend of longer cores and large-scale radial experiments. It was used to predict acid performance under field conditions. The results show that the optimal PVBT under field conditions is always lower than the one predicted under laboratory conditions; the acid depth of penetration has a significant effect on the acid-efficiency curves; and the vertical flow of acid should be considered in acid-job design.
Predicting Breakdown Pressure and Breakdown Cycle in Cyclic Fracturing
Authors: Sakhaee-Pour A.. , Agrawal Abhishek 
Published: June 2018

SummaryIn hydraulic fracturing, large volumes of fluid and sand are injected into the formation to enhance its transport properties. In conventional fracturing, the fluid pressure is increased monotonically to reach failure in a single cycle. The breakdown pressure can be reduced if we increase and decrease the fluid pressure cyclically (cyclic fracturing). This phenomenon has been tested in other engineering fields, but it is not yet possible to predict the breakdown pressure and cycle in petroleum engineering in the context of hydraulic fracturing. In the present study, we propose a workflow that is based on a modified Paris law to predict the breakdown pressure and the number of cycles in cyclic fracturing. The modified Paris law is based on linear-elastic fracture mechanics (LEFM), which treats the solid domain as an isotropic and linear-elastic medium. We use the data available in the literature for dry Tennessee Sandstone. The samples were hydraulically fractured under triaxial stress, two with conventional and two with cyclic methods. The results show that the tuned Paris law can predict the breakdown pressure and cycle with a good accuracy. The tuned model can help us to design an optimal scenario that is fundamentally different from the conventional method for formation stimulation.
Theoretical and Experimental Investigation of Coiled-Tubing Deformation Under Multiaxial Cyclic Loading
Authors: Zhao Chong , Yu Guijie , Chi Jianwei , Zhang Jiaxing , Guo Zhuang 
Published: June 2018

Summary
Coiled tubing is continuous thin-walled steel tubing several thousands of meters in length without screwed connections. Cyclic plastic-bending deformation occurs during tubing spooling on the reel and when passing through the gooseneck arc guide. The coupling effect of cyclic plastic bending and internal pressure causes coiled-tubing diametral growth and wall thinning (referred to as ratcheting). This paper presents a numerical algorithm to calculate the deformations of the diameter and wall thickness on the basis of the incremental plasticity theory and the principle of virtual work. It is shown that predictions with the algorithm correlate well with experimental results.
Analysis and Compensation About Temperature Influence to Optical-Fiber Gyro Zero Bias
Authors: Haiyuan Zhou , Heng Yang , Qianxue Wang , Xinming Liu , Liang Pan 
Published: June 2018

Abstract
Compared to other gyro the dynamic performance of optical-fiber gyro was better and the price was cheap. Optical-fiber gyro was suit to build SINS. By the way, zero bias of optical-fiber gyro was sensitive to temperature, and the compensation technique was a hot point in INS research. According to the above situation, based on one type optical-fiber gyro, the influence mechanism about temperature to optical-fiber gyro zero bias was studied, and a test method was designed, the experiment results was analyzed, finally based on multinomial simulation a compensation math model was established, and the research result discovered that temperature was a big influence to optical-fiber gyro zero bias, and it can be fixed by a compensation math model based on multinomial simulation.
Multiple Vehicle License Plate Location in Complex Background
Authors: Zhao Yaxin , Zhao Li , Li Ya 
Published: June 2018

Abstract
In order to expand the application range of the intelligent traffic management system, and to solve the problem that the license plate positioning accuracy is low in the changing of the scene. On the basis of the analysis of previous methods advantages and disadvantages, applying deep learning model orientation method is proposed. The image expressed as graph of graph theory. Based on the principle of minimum spanning tree preliminary separate target objects in image of vehicle. Combined with the color, dimension, texture and match the similarity to choose, search and merger area in the image, suspicious area of the license plate is obtained. Using visual word package to express rectangular profile after coarse positioning. Using support vector machine (SVM) to classify and identify rectangular area of license plate. Accurate positioning license plate location is positioned accurately. The method of accuracy is 96.4% for 135 pieces of test sample positioning, strong anti-jamming.
Quadrotor Formation Inversion Control Method Based on Unit Quaternion
Authors: Zhongsheng Wang , Sen Yang , Hairui Dong 
Published: June 2018

Abstract
In this paper, the formation control problem of quadrotor is studied under ideal communication condition. The quadrotor has a complex mathematical model. First, the unit quaternion method is used to describe its dynamic model and kinematic model. It is decomposed into two independent subsystems of position and attitude. The tracking error model is established by introducing the error between the ture trajectory and the desired trajectory. And then appointing a member of formation as a pilot, formation members get the geometric center position as the desired trajectory through the consistency algorithm. The back-stepping method is used to design the time-varying feedback control law for each four-rotor, so that the formation is stabilized. Finally, the effectiveness of the control method is verified by simulation experiments.
Design of University Resource Website and Security Measures in IPV6
Authors: Li Chunmei , Cui Peng , Zhou Xinke , Xiao Ze 
Published: June 2018

Abstract
In this paper authors introduced the overall design of learning resource sharing platform in the pure IPv6 environment, including the client and the web server and the back-end database, and the user management, the detailed design of the three aspects of resource management platform and administrator management. Finally authors introduced application of decision tree in this website.
The Comparison on the Side Feed Mode of Micro-strip Patch
Authors: Wen Dang , Xinliang Liu 
Published: June 2018

Abstract
The feeding of the micro-strip patch is flexible and complex, especially side feeding. In this paper, a single micro-strip patch antenna with a center frequency of 2.45GHZ is taken as an example to explore the performance of the slotted feed and non-slotted feed and verified in HFSS15.0. Combined with HFSS15.0 software simulation and theoretical calculation, the corresponding conclusions can be obtained. The theoretical value and simulation results will be shown that: the required 1/4 converter sizes of the non-slotted side feed and slotted side feed are different. By contrasting with sizes of two feeding modes, electrical size of the slotted feed is smaller. It can be known that all performances of the slotted feed are more superior.
The Extraction of Comment Information and Sentiment Analysis in Chinese Reviews
Authors: Li Danyang , Fan Huimin , Yingze Zhao 
Published: June 2018

Abstract
Sentiment analysis, also known as opinion mining, refers to the emotional tendencies expressed by the critics through the analysis of the content of the text. The task of text sentiment analysis mainly includes the classification of sentiment, the extraction of sentiment information and the retrieval and induction of sentiment information. Based on CRF, this paper will extract several pairs of theme words and sentiment words exist in the e-commerce review, and judge the sentiment inclination of the extracted sentiment words. The experimental results show that CRF has a good effect on the extraction of emotional information.
Research on AORBCO Model and It’s Description Language
Authors: Min Zhi , Junmin Luo , Wuqi Gao 
Published: June 2018

Abstract
This paper improves the AORBCO model based on the four characteristics of intelligence-self conscious, mutual representation, fuzziness and dynamics, and designs a description language of AORBCO model. The language describes the self-consciousness of an agent with its’ five components-belief, desire, ability, planning and behavior control mechanism. The components of entities including acquaintances of an agent and objects known by the agent are as the starting point to characterize the mutual representation of intelligence. Introducing and updating of the weights to express the closely degree of relationship among entities are to simulate the fuzzy of intelligence. The behavior control mechanism of the agent makes the intelligent dynamics realization. The AORBCO description language based on XML makes the expression form and content of the resources unify through the definition of correlative marks, which is convenient for people and computers to understand the semantics of language components. The essence of space and time is also revealed in this paper.
Fast Aerial UAV Detection Based on Image Segmentation and HOG-FLD Feature Fusion
Authors: Xiaoping Li , Songze Lei , Yanhong Wang , Feng Xiao , Tian Penghui 
Published: June 2018

Abstract
In order to detect non-cooperative target UAV quickly and accurately, a novel method of UAV detection method based on graph theory and HOG-FLD feature fusion is presented in this paper. In order to avoid the time-consuming full search, the candidate areas of the UAV are obtained through the selective search of the image segmentation and the similarity, and the features are extracted through the method of gradient orientation histogram fusion FLD linear to train the SVM classifier with generalization ability to identify the UAV. The method can detect the UAV quickly and accurately under complicated background and circumstances of various position and angle. Compared with the sliding window method based on image segmentation and HOG+SVM, the experimental results show that the speed of this method has been obviously improved with the same recognition accuracy.
The Design and Implementation of Displacement Monitoring System for Tailings Dam
Authors: Chen Guoshao , Lian Zhichao 
Published: June 2018

Abstract
Non-coal mining generally produces a large amount of tailings, and tailings usually accumulate in the canyon between two mountains, and the downstream of the tailings is intercepted by the dam. The dam is called a tailings dam. The development of safety monitoring technology for tailings dam is accompanied by the history of dam construction. The safety of tailings dam is not only related to the normal operation of mining industry, but also to the life safety of downstream residents. Once the tailings dam break, the loss caused by the dam is inestimable. In this paper, the laser collimation system is used to monitor the displacement of the dam, and the center of light is measured by the center of gravity, and the laser beam is reconstructed by a lens. The method has the advantages of high accuracy and simultaneous detection of horizontal displacement and vertical displacement of tailings dam. It is a new monitoring technology for dam displacement and has good application prospects.
The Reform and Innovation of Ideological and Political Teaching Under the Multimedia
Authors: Bo Xing 
Published: June 2018

Abstract
With the continuous development of modern information technology, Computer network and multimedia technology have been used more and more widely. Due to the diversity, integration, control, interactivity, and real-time characteristics of multimedia technology, the application of multimedia technology in teaching has greatly changed the traditional teaching mode of instilling knowledge to students in a single way and in a simple manner. It used its super integrated management of text, text, graphics, images, video, sound etc., making teaching intuitive, novelty, diversity and vivid characteristics, can give full play to the students’ thinking ability, cognitive ability and the ability to analyze problems, greatly improve the quality of teaching. Applying multimedia technology to the ideological and political course in colleges and universities can help improve the expressiveness and appeal of teaching content, inspire students’ interest in learning, increase the credibility and timeliness of teaching content, and create a multidimensional interactive ideological and political classroom model. This will enable the teaching of ideological and political courses in universities to be carried out more effectively. Therefore, we should effectively use multimedia technology to assist our teaching in ideological and political education.
The Monitoring and Wireless Transmission System of PM2.5 in the Scenic
Authors: Xiaohui Wang , Kewei Lei 
Published: June 2018

Abstract
This Scenic area has large traffic volume and complex environment and some scenic areas need to be protected. So developing an air quality monitoring system is very important. In this paper, the temperature sensor, the PM2.5 sensor and the wireless transmission module were combined by the MCU. It monitors the spot in PM2.5 concentration and the temperature information. When the PM2.5 concentration is higher than the threshold, the wireless transmission module sends the warning signal. So the system could measure and improve the environment of scenic spot.
The Design of QoS Guarantee Strategy Framework for Networked Control System
Authors: Weixia Yang , Fei Xu , Shaochang Wang 
Published: June 2018

Abstract
For networked control systems such as packet loss and delay of the basic problems, this article launches the research from the perspective of network scheduling optimization, build the QoS semantic model and service model for networked control, puts forward the multi-level QoS guarantee strategy deployment algorithm and QoS, QoS access algorithm components; On a class of networked control middleware prototype system of network resources to meet of components and component deployment simulation experiment, the results show that by properly adjusting the bandwidth of the task node and priority, and controlling the efficient transmission of information, so as to shorten the network time delay, improve the network performance, increase the efficiency of the controller.
MEMS Seismic Sensor with FPAA-Based Interface Circuit for Frequency-Drift Compensation Using ANN
Authors: Pawase Ramesh , Futane Dr. N.P. 
Published: June 2018

Abstract
Electrochemical micro-electro mechanical systems (MEMS) seismic sensor is limited by its nonideality of frequency dependent characteristics hence interface circuits for compensation is necessary. The conventional compensation circuits are limited by high power consumption, bulky external hardware. These digital circuits are limited by inherent analog to digital conversions which consumes significant power, acquires more size and limits processing speed. This system presents field programmable analog array (FPAA) (Anadigm AN231E04) based hardware implementation of artificial neural network (ANN) model with minimized error in frequency drift in the range of 3.68% to about 0.64% as compared to ANN simulated results in the range of 23.07% to 0.99%. Single neuron consumes power of 206.62 mW with minimum block wise resource utilization. The proposed hardware uses all analog blocks removing the requirement of analog to digital converter and digital to analog converter, reducing significant power and size of interface circuit and enhancing processing speed. It gives the reliable, SMART MEMS seismic sensor with ANN-based intelligent interface circuit implemented in FPAA hardware.
Patient-centric health-care data processing using streams and asynchronous technology
Authors: Mbuthia Kenneth , Dai Jin , Zavrakas Stavros , Yan Jize 
Published: June 2018

Abstract
This paper describes a system in detail, which takes in depersonalized data collected by a patient medication management system, carries out reformatting and basic calculations on the data, then stores the resulting information into a database for retrieval, visualization, and further analysis. An investigation is also carried out to create a new way of developing a data analysis application that is efficient and simple to create/code, while avoiding the use of overly complicated libraries to boost performance or investing in expensive hardware. A description of the technologies, algorithms, software tools, and software development process shall be provided. The results from the creation of this application will also be covered while indicating relevant uses for the application, pitfalls/challenges, and future improvements that can be carried out to enhance and improve the system. This application makes use of data collected by an existing patient prescription tracking app that was built by a third-party company that provided dummy data that were used as a guide to develop the system. The application/system created consists of four main sections, a data model project that was used to create the database schema, a “cruncher” project that consists of scripts used to extract data from the existing database, then transforms it into the needed information to be stored, an application programming interface (API) that is used to easily query/retrieve information from the database, and lastly a set of interfaces that visualized the data stored once collected by the cruncher project for easy interpretation and investigation.
Disclaimers: The system described in this paper was developed and tested locally and not in any production environment. All data used for the creation of this paper are dummy data and not real user data. Therefore, all results are simulated and, in no way, violate any real user’s privacy. All functionality proposed and developed in this solution represent the potential applications of an analytics tool of this nature and do not represent how any collaborator in this project currently uses the developed system in any real-world/production environment.
New Compression–Encryption Algorithm Using Chaos-Based Dynamic Session Key
Authors: Setyaningsih Emy , Wardoyo Retantyo , Sari Anny Kartika 
Published: June 2018

Abstract
This research proposes New Compression–Encryption Algorithm Using Chaos-Based Dynamic Session Key (CEA-CBDSK) to encrypt image data. CEA-CBDSK consists of an algorithm to generate initial symmetric keys and an algorithm to encrypt image data using four dynamic session keys derived from the initial keys. The key generation uses Discrete Wavelet Transform, Arnold Cat Map, and Cipher Block Chaining, while the image encryption is performed using the session keys produced by the chaotic logistic map method. From the evaluation, it is proven that CEA-CBDSK is able to protect transmitted image data against ciphertext-only attack, statistical attack, and differential attack.
Bacteriological, Clinical and Virulence Aspects of Aeromonas-associated Diseases in Humans
Authors: BHOWMICK UTTARA DEY , BHATTACHARJEE SOUMEN 
Published: June 2018

Abstract
Aeromonads have been isolated from varied environmental sources such as polluted and drinking water, as well as from tissues and body fluids of cold and warm-blooded animals. A phenotypically and genotypically heterogenous bacteria, aeromonads can be successfully identified by ribotyping and/or by analysing gyrB gene sequence, apart from classical biochemical characterization. Aeromonads are known to cause scepticemia in aquatic organisms, gastroenteritis and extraintestinal diseases such as scepticemia, skin, eye, wound and respiratory tract infections in humans. Several virulence and antibiotic resistance genes have been identified and isolated from this group, which if present in their mobile genetic elements, may be horizontally transferred to other naive environmental bacteria posing threat to the society. The extensive and indiscriminate use of antibiotics has given rise to many resistant varieties of bacteria. Multidrug resistance genes, such as NDM1, have been identified in this group of bacteria which is of serious health concern. Therefore, it is important to understand how antibiotic resistance develops and spreads in order to undertake preventive measures. It is also necessary to search and map putative virulence genes of Aeromonas for fighting the diseases caused by them. This review encompasses current knowledge of bacteriological, environmental, clinical and virulence aspects of the Aeromonas group and related diseases in humans and other animals of human concern.
A NEW AND UNIFIED APPROACH IN GENERALIZING THE LINDLEY’S DISTRIBUTION WITH APPLICATIONS
Authors: Bouchahed Lahsen , Zeghdoudi Halim 
Published: June 2018

Abstract
This paper proposes a new family of continuous distributions with one extra shape parameter called the generalized Zeghdoudi distributions (GZD). We investigate the shapes of the density and hazard rate function. We derive explicit expressions for some of its mathematical quantities. Various statistical properties like stochastic ordering, moment method, maximum likelihood estimation, entropies and limiting distribution of extreme order statistics are established. We prove the flexibility of the new family by means of applications to several real data sets.