bluuebunny/crossref_metadata_2025_split huggingface dataset:
FOURIER SERIES INVOLVING A-FUNCTION AND JACOBI POLYNOMIAL
Authors: Kishore Kamal 
Published: June 2020

Abstract
Mathematically, special functions are functions defined on R or C and they possess not only series representations, but also integral representations. In the study of boundary value problems and special functions, Fourier series for generalized hypergeometric functions plays a vital role. The role of certain double Fourier series of generalized hypergeometric functions in the improvement of the theories of boundary value problems of dimension two and special functions can not be denied. In this paper, looking into the importance of Fourier series we have derived two integrals involving A-Function. Then we have used these integrals along with orthogonal property of Jacobi Polynomials to find the required Fourier Series.
A Numerical study of the unsteady flow of two immiscible micro polar and Newtonian fluids through a horizontal channel using DQM with B-Spline basis function
Authors: Katta Ramesh , Chandrawat Rajesh Kumar , Joshi Varun 
Published: June 2020

Abstract
In this paper the differential quadrature method, using cubic B-spline basis function is applied to get numerical solution for the unsteady flow of two immiscible micro polar and Newtonian fluids through a horizontal channel. This numerical technique is not only subsequently easy to enforce but also inexpensive in phrases of data complexity. The two immiscible micro-polar and Newtonian fluids were taken into account as combined partial differential equations. For fluid velocity and micro rotation regarding different fluid parameter sets, empirical outcomes are obtained. The analysis of results is discussed in three situations, with constant, periodic and decreasing pressure gradient. The effects of admissible fluid parameters i.e. Reynolds number, ratio of viscosities, micro polarity parameter and time on fluid velocities, micro rotation and volume flow rate have been illustrated through graphs. The outcomes in terms of volume flow rate across the channel for fluid velocities with different fluid parameters are addressed.
Study of Performance Enhancement of Single and Double Pass Solar Air Heater with Change in Surface Roughness
Authors: Dogra S , Jilte Dr. R D , Sharma A 
Published: June 2020

Abstract
The performance of Solar Air heaters can be enhanced by placing ribs of different geometries over the absorber plate which increases turbulence and thereby increasing its heat transfer and friction factor characteristics. It has been reported by various researchers that Double pass solar air heaters are more efficient than single pass solar air heaters in terms of its Thermal performance. It is also reported that using discrete ribs over the absorber plate in place of continuous ribs gives more heat transfer. The present paper gives us the details of various artificial roughness provided over the absorber plate to increase turbulence. This paper gives a brief overview of various researches done on Single as well as Double pass solar air heaters in terms of its Thermal and Thermohydraulic efficiencies along with Nusselt Number and Friction Factor enhancement.
Induced Alterations in the Aggregation Behavior and Thermodynamic Properties of Anionic Surfactant Sodium Tetradecyl Sulfate (STS) in presence of Imidazolium Based Ionic Liquid in Aqueous Media: A Conductometric Study
Authors: Kumar Harsh , Kaur Gagandeep 
Published: June 2020

Abstract
Surfactants can be considered as an important class of chemical species having a polar head and non-polar tail, which make it capable to be utilized in many industrial formulations such as coatings, paints, lubricants, and cosmetics, etc. Also, ionic liquids, which are actually molten salts, are also having many useful properties such as negligible vapor pressure, high thermal stability, etc. They can modify the physiological as well as aggregation properties of conventional surfactants according to our desire. The mixtures of ionic liquids with a surfactant are found to be better systems for many industrial applications than individual ones. Thus the micellization behavior of sodium tetradecyl sulfate STS is investigated in the presence of 1-propyl-3-methylimidazolium bromide [C3mim][Br] in aqueous media. For this, ionic liquid 1-propyl-3-methylimidazolium bromide [C3mim][Br] is synthesized in our lab. Then the conductivity measurement is done to determine the critical micelle concentration (CMC) of sodium tetradecyl sulfate STS in the absence and presence of (0.02, 0.05 and 0.1) wt. %, of 1-propyl-3-methylimidazolium bromide [C3mim][Br] in aqueous medium at three different temperatures i.e. (298.15, 303.15 and 308.15) K. The results are then utilized to find the thermodynamic parameters of micellization such as, standard free energy of micellization, standard enthalpy of micellization, and standard entropy of micellization, which are important to understand the driving force behind the process of micellization.
Study on Interactions Between Imidazolium Based Surface Active Ionic Liquid and Drug at Different Temperature and Concentrations
Authors: Kumar Harsh , Sharma Pooja 
Published: June 2020

Abstract
The present study aims to investigate the molecular interactions of surface active ionic liquid (IL), 1-pentadecyl-3 methyl imidazolium bromide [C15mim]Br with drug chloramphenicol in aqueous solution. For this the conductivity measurements have been employed to indicate [C15mim]Br –chloramphenicol interactions. The evaluation of Micellar and interfacial parameters such as critical micelle concentration and various thermodynamic parameters such as standard free energy of micellization, standard entropy of micellization and standard enthalpy of micellization has been carried out.
Synthesis and characterization of a series of phenyl piperazine based ligands
Authors: Kant Rishi , Kaur Tanjot , Hilal Zanib , Aggarwal Nidhi , Maji Suman 
Published: June 2020

Abstract
Piperazine based compounds are gaining more attention in today’s research as the piperazine nucleus is found in many biologically active compounds. Substitution in nitrogen atom of piperazine with a suitable fragment containing donor atoms, make it unique for versatile binding possibilities with metal ion. Piperazine derived ligands and their metal complexes have shown applications in different fields like antimicrobial, antioxidant, antihistaminic, anticancer, DNA binding and protein binding, catalyst in ring opening polymerization (ROP), etc. Metal-organic framework derived from piperazine based ligands has also been reported in the literature. This paper presents the synthesis, and characterization of a series of piperazine based ligands. The asymmetrical ligands have been synthesized by cyclization of bis-chloroethyl amine with suitable amine. Some of the representative metal complexes are also synthesized and characterized.
Synthesis and thermal analysis of polyaniline (PANI)
Authors: Kumar Anil , Kumar Amit , Mudila Harish , awasthi Kamlendra , Kumar Vinod 
Published: June 2020

Abstract
An attempt was taken to prepare polyaniline (PANI) using chemical oxidative polymerization method with surfactant i.e sodium dodecyl sulfate (SDS) followed by treating with HCI and NH4OH dopants. Raman spectroscopy, differential scanning calorimetry (DSC) and thermogravimetry analysis (TGA) techniques were used for the characterization studies. The electrical conductivity of polyaniline was measured using two probe method. Raman spectroscopy results confirm the formation of an emeraldine oxidation state of PANI. Thermal analysis of polyaniline up to 700°C was investigated using thermo gravimetric analysis technique.
Phytochemical Investigation and Antimicrobial Characterization of High Altitude medicinal plant Rhododendron arboreum Smith from Uttarakhand Himalaya
Authors: Kumar Sanjay , Pathak Akansha , Kathuria Shubham , Kumar Rishendra 
Published: June 2020

Abstract
Context: Despite some studies related to the Rhododendron arboreum, phytochemical analysis remained unexplored. Potential cytotoxic, antibacterial and enzyme inhibitory activities relevant to traditional knowledge system were examined and LC-MS was performed to investigate the chemical composition. Material and Methods: The chemical composition of two fractions in ratio of 70:30 and 50:50 in methanol were determined by Liquid Chromatography coupled with Mass Spectroscopy (LC-MS). Antioxidant activity of methanol extract of both sample were determined by DPPH, FRAP and antibacterial assay were investigated. Results and Discussion: The main constituents were cis- retinoic acid, phytol, kempferol-3,4,7-tri-O-sulfate, 6-β-D-xylopyranosylluteolin, mucronulatol. Fraction second exhibit strong antioxidant and antibacterial activity (IC50 = 20.1μg/mL) compared to the ascorbic acid and BHT as well as highest FRAP (IC50 = 28.4μg/mL). The flavonoid were identified in these fractions using LC-MS analysis as quercetin O-β-glycoside. Conclusion: This study provides scientific report to uses of R. arboreum found in North India. Thus, the present study showed that the flowers contain bioactive compounds with good antioxidant activity for pharmaceutical and pharmaceutical applications.
Process Design For Removal of Heavy Metals By A Bio-sorbent Trickle Bed System: A Proof of Concept
Authors: Kumar Prashant , Asthana Sudeep , Purty Ram Singh , Chatterjee Sayan 
Published: June 2020

Abstract
Most heavy metals are well-known toxic and carcinogenic agents and when discharged into the wastewater represent a serious threat to the human population and the fauna and flora of the receiving water bodies. The development of a novel biofilter was aimed in this project. The various parameters of the biofiltration processes, their mechanism for heavy metals removal along with the efficiency of the biofilters and its scale up aspects have been studied. The work was targeted towards removal of Iron (Fe) and Chromium (Cr), two very common contaminant in urban as well as rural ground water. These are also found in industrial spent waters. The efficiency of the biofiltration process for heavy metals removal have been critically analysed. In a proof-of-concept study, a laboratory-scale closed biofilter system employing the trickle bed process was operated to remove Iron (Fe) and Chromium (Cr) from a synthetic waste water sample at a load of 1000mg/L of the heavy metal. Gravel, citrus peels and spent tea leaves after proper pre-treatment was used as filter media. Depth profile analysis of the filter bed showed the reduction of a steep gradient of Iron and Chromium from the top layer to the bottom layer of filter media in the biofilter. Iron and Chromium level at the bottom of the biofilter decreased over 85% over a period of 6-8 hours of experiment. With these observations we have scaled up the process from a 0.050 L to 15.0 L operating volume. The results were consistent.
Text Analysis of Cross-border E-commerce Policy Based on Co-word Clustering Method: A Case Study of Gansu Province
Authors: Wang Yuzhen , Li Jiaru 
Published: June 2020

Abstract
Taking the cross-border e-commerce policy texts introduced in the past five years as the research object, the co-word clustering method is used to divide the policy texts into four categories, and the content is analyzed based on the theory of the ecosystem. The study found that Gansu Province currently has unbalanced cross-border e-commerce policy structures, insufficient specific policies issued by prefecture-level city governments, and weak linkages among government departments in issuing policies. Therefore, the relevant departments need to further improve the cross-border e-commerce policy in response to the above issues, so as to promote the high-quality development of cross-border e-commerce in Gansu Province.
Autocorrelation and limited sampling algorithm with fixed packet length in period measurement
Authors: Ding Yizhou , Li Zirui 
Published: June 2020

Abstract
This paper proposed a real time autocorrelation and limited sampling algorithm with fixed packet length based on Field Programmable Gate Array(FPGA) for the period estimation and significant data transmission for arbitrary periodic signal, which contributes to information transfer in the Internet of things for smart sensors, and has a wide applications such as radar, communication, sensors network and measurement. Firstly, an explanation of the algorithm is shown. Secondly, several simulation results are analyzed. Finally, experimental and hardware implementation results are shown.
Research on Robot Dynamic Handling System Based on Machine Vision and Online Tracking Technology
Authors: Liu Zhicheng , Bian Shaoshun , Zhang Bin , Lu Zongxue , Zhou Pengzhong , Lai Lin 
Published: June 2020

Abstract
In this paper, a set of dynamic handling control system based on Fanuc robot is designed and studied, in which the conveyor line positioning mechanism, industrial robot and stability mechanism are connected together by Siemens 1500 PLC as the main control unit. The machine vision and Fanuc robot tracking function are used to make dynamic visual photographs of the robot, which compensates for the deviation of the hanging rod and increases the success rate of the moving product. The monotonous and repeated manual labor can be solved, and the production efficiency and production quality of the enterprise can be improved by replacing the artificial handling with the robot handling.
Research on Beidou B1C Signal Joint Tracking Algorithm Based on Pseudo Correlation Function
Authors: Hao Wenjie , Gong Wenfei 
Published: June 2020

Abstract
The Beidou B1C signal is a new type of navigation signal used by the Beidou III system. Compared with traditional satellite navigation signals, this navigation signal has two significant characteristics: one is the use of BOC(Binary-Offset-Carrier) modulation, and the other is the separation of the data channel and the pilot channel. BOC modulation has multi-peak characteristics, which leads to ambiguity in tracking, while the PCF(Pseudo-Correlation-Function) algorithm can eliminate related secondary peaks of the BOC signal; the separation of the data channel and the pilot channel results in the dispersion of signal energy. Therefore, based on the PCF algorithm, this paper proposes a linear joint tracking algorithm suitable for B1C signals from the perspective of engineering applications. Finally, it is verified that the tracking accuracy of the proposed algorithm is better than the single-component PCF tracking algorithm.
Evaluation of deep learning models for Urdu handwritten characters recognition
Authors: Jiang Weiwei 
Published: June 2020

Abstract
As a classical and significant problem, handwritten character recognition has been widely used in our daily lives. With recent deep learning methods, previous studies have achieved a great improvement for this problem in the past few years. However, the handwritten character recognition for Urdu, which is one of the largest languages of the world, is less studied in the existing literature. In this paper, we fill in this gap and evaluate different deep learning models on the problem of Urdu handwritten characters recognition based on a newly released dataset. Combined with data augmentation and transfer learning techniques, we achieve the state-of-the-art results by recognizing digits and characters with an accuracy of 98.94% and 99.08%, respectively, which greatly improves the baselines of 97% and 86.5%.
The combined algorithm of aluminum-electrolytic cell voltage collection based on Kalman filter
Authors: Deng Lianwen , Liu Guotao , Zhao Yan , Jang Haibing 
Published: June 2020

Abstract
This paper proposes a combined cell voltage acquisition algorithm based on Kalman filtering, which is used to solve the problem of insufficient cell voltage acquisition and high delay in the current aluminum electrolysis process. This algorithm is based on Kalman filtering, and uses the mean square error of the data to represent the Gaussian white noise power of the collected and predicted values. It has strong tracking performance in the state of stable voltage. The voltage acquisition data out of the interval is comply to first-order inertial filtering, to replace the voltage sampling value, and then using the Kalman filtering algorithm to calculate the filtering gain, to ensure that the combined algorithm can filter out the influence of noise when the cell voltage fluctuates greatly, and in the stable process of electrolysis, the convergence of battery voltage can be tracked quickly. The simulation results show that compared with the first-order inertial filter, the improved Kalman filter reduces the root mean square error by 50% when the voltage is stable, and reduces the convergence time by 50% after the electrolytic cell regenerates needle vibration and swing.
A group target tracking algorithm based on topology
Authors: Zhang Yingjing , Liu Mingyang , Liu Xin , Wu Tianhao 
Published: June 2020

Abstract
For dense individual targets, their close distances may cause gates overlap, which impairs the tracking performance. To solve this problem, this paper proposes a group target tracking algorithm based on topology. Firstly, the targets are grouped based on their positions and velocities. Note that group targets have more stable tracks compared with individual targets. Then, for the targets in the group, data association based on topology for dense individual targets is achieved, considering relative positions of targets are stable. Finally, the simulation experiments are conducted to evaluate the proposed algorithm. The simulation results show that the group target tracking algorithm based on topology improves the association performance compared with the traditional Hungarian algorithm.
Analysis decision-making system for aquaculture water quality based on deep learning
Authors: Su Jing , Chen Jiahong , Wen Jiawei , Xie Wende , Lin Mingjie 
Published: June 2020

Abstract
The quality of water is a key factor that determines whether aquaculture will be successful or not. Currently, aquaculture is mainly based on worker’s experience, which is not capable of precisely controlling the quality of the aquaculture water. The main function of the existing system for aquaculture water quality is still to manage water quality, but hardly to analyse or visualize the data of water quality. Furthermore, fewer works for prediction of future water quality are made. To tackle these issues, we design an analysis and decision-making system based on deep learning for aquaculture water quality. We combine the latest artificial intelligence and big data technology to achieve the functions of the system such as the visualization of data, the prediction of future water quality factors and early-warning of water quality, which helps the users to realize scientific aquaculture.
A Diachronic Assessment of Research on Machine Translation Methodology
Authors: Ran Zhao 
Published: June 2020

Abstract
Approaches of machine translation are streamlined into three types based on strategies of knowledge processing, i.e. syntax-based methods, rule-based methods, and corpus-based methods, with their merits and demerits assessed. Consequently, the updated research tendency of the neural networks, as the current mainstream methods of machine translation, mainly comprising computational complexity reducing, words alignment enhancing, prior knowledge and constraints incorporating are stressed. Eventually, the future development orientations of the mainstream methods of neutral machine translation, particularly that of networks integration, data parallelizing and training are prospected.
A method of computing conceptual semantic similarity based on part-whole relationship
Authors: Cao Xinyu , Zhao Jing , Zhang Fan , Wu Gang , Zhao Chao , Wang Haitao 
Published: June 2020

Abstract
Conceptual semantic similarity calculation is an important content in research fields such as natural language processing, machine translation and is widely used in information retrieval, knowledge acquisition, text classification, and clustering. It’s very important to development of natural language processing by improving the accuracy of semantic similarity calculation. This paper proposes a method for calculating the similarity of concepts based on the part-whole relationship between concepts. This method is based on the partial overall relationship diagram and uses the hierarchical features and positions of the concepts in the diagram to calculate the conceptual similarity.
Design of Cylindrical Three-dimensional Garage System
Authors: Sun Jing , Xu Hengming , Wang Bingbing 
Published: June 2020

Abstract
The increasing of car ownership makes the problem of parking difficult to become more and more prominent. The application of three-dimensional garage is one of the most effective solutions at present, which saves both cost and space. Based on the traditional three-dimensional garage, this paper designs a cylindrical three-dimensional garage system. The lifting device of the vehicle is composed of screw, parking platform, and transmission track. The control system of the garage is designed with the single-chip microcomputer as the control core. Finally, the control circuit of the software simulation system realizes the function of automatic exit storage of vehicles, which verifies the feasibility of the design.
Improved sunflower-type photovoltaic power generation tracking system
Authors: Guo Qixuan , Wang Jianjian 
Published: June 2020

Abstract
At present, photovoltaic power generation mainly adopts a method of fixing the position and angle of the photovoltaic power generation panel and manually adjusting the angle of the photovoltaic power generation panel according to seasonal changes, but this power generation method has a relatively low working efficiency. Then came the sunflower-type photovoltaic power generation tracking system. Like the sunflower, this system can adjust its own angle by following the change of the sunlight angle at any time and place, so that the photovoltaic power generation panel always keeps running and working at an angle perpendicular to the sunlight . In order to further improve the efficiency of photovoltaic power generation and use solar energy more effectively, a sunflower-type photovoltaic power generation tracking system was designed and improved. Compared with the original system, in this system mode, the tracking accuracy of the photovoltaic power generation board can be further improved, and the photovoltaic power generation efficiency can be improved.
Design and Realization of a LAN Connectivity Test Circuit
Authors: Lin Yiyong , Lin Lei , Hu shibin 
Published: June 2020

Abstract
The simple network cable tester can only test one network cable at a time. When multiple network lines need to be tested, there are problems such as a long time, low accuracy, prool efficiency, and unable to display visually.A multi-network test circuit is developed and designed based on the principle of network cable testing on this paper. The principle of the simple network cable tester is briefly analyzed. The overall design idea, circuit design, and working principle of the LAN connectivity test circuit are explained in detail. The circuit characteristics are summarized. The actual application verification is performed during the management and maintenance of the unit LAN. The application results show that : this circuit has the characteristics of stable operation, simple operation, safety and reliability, convenient maintenance, and intuitive display. It improves the speed of network cable testing, increases the visual display of test results, improves the efficiency of network cable testing, and has achieved good application results.