bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vector extrapolation enhanced RRGMRES for linear discrete ill-posed problems
Authors: Jing Qiu , Zhengsheng Wang 
Published: November 2019

Abstract
The solution process of linear discrete ill-posed problems often requires regularization of the original problem. RRGMRES, the value-domain-restricted GMRES method, is a kind of iterative regularization method. The number of iteration can be thought of as a regularization parameter that affects the quality of the computed approximate solution. For improving its semi-convergence, in this paper, we describes how vector extrapolation methods can be combined with RRGMRES, and illustrates that the determination of the proper value of the number of iteration is less critical for the combined extrapolation-RRGMRES method than for RRGMRES alone. The numerical performance of the combined method suggests a new way to determine the number of iteration. Numerical experiments and comparisons are given to illustrate the efficiency of the results in this paper.
The mechanism of nitric oxide release through gold nanoparticles-mediated catalytic decomposition of S-nitrosothiols by density functional theory
Authors: Zhai Jinhui , Wang Jinlong 
Published: November 2019

Abstract
First principles calculations were performed to study the mechanism of nitric oxide release through the catalytic decomposition of S-nitrosothiols mediated by gold nanoparticles within the density functional theory. The gold nanoparticles and S-nitrosothiols were modeled by Au38 cluster and SPEN compound, respectively. The results reveals a two-step reaction process. The primary step is SPEN adsorbs on Au38 cluster surface by S atom to form the intermediate. In the next step, NO dissociates from SPEN under the catalysis of Au38 cluster and thereafter a specie of Au-thiolate complex was produced as the product. Furthermore, we found that the overall catalytic reaction is exothermic with a small energy barrier, which confirms the reaction process is kinetically feasible.
Research and Implementation of Channel Estimation Algorithm Based on Wideband Micro-power System
Authors: Wang Haolin , Liu Shaohua 
Published: November 2019

Abstract
Channel estimation and equalization are the keys to realize wideband micro-power wireless communication system. In this paper, the channel estimation algorithm is improved according to the frame structure characteristics of wideband micro-power. Compared with the original algorithm, new algorithm is more suitable for this system and its performance is improved by 0.2dB. By establishing the system simulation model in MATLAB environment, the corresponding channel estimation algorithm is used to simulate and compare. The performance of the improved algorithm is verified and the improved algorithm is implemented on the FPGA platform. In the process of hardware implementation, formula transformation is used to reduce the use of multipliers in complex multiplication and reduce resource consumption. The results of ISE Design Suite 14.7 synthesis and Modelsim simulation show that the algorithm has low algorithm complexity, small hardware resources, and the estimation accuracy meets the expectations and meets the application requirements.
Latency aware online tasks scheduling policy for edge computing system
Authors: Fang Juan , Li Kai , Ma Aonan 
Published: November 2019

Abstract
With the development of the cloud computing, more and more devices will be connected to the network, and bring enormous load to current network. Currently, the data of devices are processed in the cloud, which are normally located far away from the devices. Therefore, network bandwidth and communication latency become serious bottlenecks. Edge computing, with its advantage that offers cloud-like services at the edge of network and less latency, has become a new direction of the current Internet of Things network transmission architecture. How to schedule the tasks between the edge servers and the central cloud server so that the task response time can be minimized becomes the critical problem in edge-cloud system. In this paper, we propose a general algorithm to resolve this problem. In our model, the edge servers based on the aware of tasks expected completion time to decide sending the tasks to the other edge servers or cloud when it is fully loaded to make the most use of the edge servers in the same area. We evaluate our proposed policy in iFogSim toolkit. Results of the simulation demonstrate that our strategy improves significantly in reducing the latency of application and network usage.
A Time Domain Estimation Algorithm for Speech Signal Pitch Period
Authors: Wu Shuxing , Li Tiansong , Zhang Xiuqin 
Published: November 2019

Abstract
In speech recognition and speech synthesis, accurate estimation of the pitch period is an important part of speech processing. The traditional direct peak estimation method and the autocorrelation function method are both effective time domain estimation algorithms. The autocorrelation method is a pitch period estimation algorithm suitable for low SNR. Both algorithms need to get accurate peak position estimation. In this paper, a multi-line cut method which is a method for judging the position of the peak point is proposed. The multi-line cut method is used to intercept the sampled data of the waveform by using multiple cut lines. The median value is calculated by the starting and ending points of the cut line position, and the peak position is indirectly evaluated. By minimizing the impact of interference on the peak estimate, the likelihood of falling into local extreme points is reduced, therefore a more accurate peak point estimate than the direct search for peak points can be obtained. The simulation results show that compared with the traditional direct peak estimation method, the performance of peak estimation by the multi-line cut method can be greatly improved, and the multi-line cut method can be used to estimate the peak value in the autocorrelation method, and also achieve a certain performance improvement. In addition, the number of cut lines is directly related to performance, and the more the number is, the better the performance is. The complexity of this method is not high and easy to implement.
Garden plant landscape evaluation method based on adaptive algorithm and its application
Authors: jiefei Nai , tieming Ma , yuan Fang 
Published: November 2019

Abstract
Plant planting design in landscape plant landscape is not only an effective environmental protection measure, but also has a certain aesthetic appearance. In the process of garden landscape design, the designer has paid attention to the original growth form of the plant and will not deliberately transform it. However, in the garden design, there are many unreasonable landscape designs that destroy the original national characteristics of the city. These garden landscape designs do not really understand their concepts, ignoring the adaptability of plant design to the city. Therefore, it is necessary to conduct a detailed analysis of the spatial image and structure of the landscape of landscape plants. This paper combines quantitative evaluation with qualitative evaluation through adaptive algorithm, which has certain guiding significance for the construction of landscape plant landscape, and provides a method for garden plant landscape evaluation.
Applying genetic algorithm to university classroom arrangement problem
Authors: Wang Bei , Geng Yuejie , Zhang Zhigang 
Published: November 2019

Abstract
University classroom arrangement problem is considered as a sub-question of the university timetabling problem, which has been proved to be an NP-hard problem in combinatorial optimization field. In this paper, we firstly analyzed the relevant factors and set up a model of the problem. Then the genetic algorithm was applied to optimize the arrangement of classroom considering the moving distance of students between courses, which was caused by room changing. The experimental results have shown that the genetic algorithm could generate feasible solutions and optimize the classroom arrangement.
An improved evolutionary multi-objective optimization algorithm based on decomposition
Authors: Han Jiaxin , He Manman , Cuan Ying 
Published: November 2019

Abstract
Multi-objective optimization (MOP) is a hot and difficult problem in the field of industrial production and scientific research, involving simultaneous optimization of multiple objectives. In this paper, an improved decomposition-based multi-objective evolutionary algorithm is proposed to solve MOP. Firstly, the Latin hypercube sampling method is used to generate the initial population in order to improve the diversity of the initial population and the probability of convergence to the global optimal solution. Secondly, the adaptive differential crossover operator is used to adjust the parameter settings adaptively for different problems, including the differential proportionality factor and crossover probability, so as to improve the performance of the algorithm. Finally, the reference point is set to coordinate origin, which can pull the population back to the real front faster and accelerate the convergence speed of the population. In a group of benchmark problems, ZDT and DTLZ test problems, the algorithm is widely compared with four most advanced algorithms. The experimental results show that the algorithm has better ability to solve MOP problems.
Distributed Circuit Simulation using Combined Simulation Method
Authors: Chen Chen-Jung , Yang Tai-Ning , Lee Chih-Jen , Sun Jen-Dong , Hsu Sheng-Hsuan 
Published: November 2019

Abstract
In this paper, we describe methods to utilize the multi-core CPU as well as computers connected by internet to perform large-scale MOSFET circuit simulations. That is, both distributed and parallel computing are utilized to do the simulation. Parallel Newton Relaxation and Combining Simulation Method (CSM) are our numerical tools to accomplish parallel and distributed computing respectively. We note that both coursed and fine grained parallel computing strategies are used in this paper. All proposed methods have been implemented and tested. Experimental results justify pleasing effects of all proposed methods.
Coupled-Fed Antenna with Parasitic Ground Structure for Octa-band WWAN/LTE Narrow-Frame Mobile Phone
Authors: Song Yitao , Zhu Mingmin , Jin Xinghui , Yu Guoliang , Zhou Haomiao 
Published: November 2019

Abstract
In this work, an octa-band narrow-frame mobile phone antenna with the size of 80×7×5.5 mm3 is proposed and studied. The designed antenna adopts coupled-fed technology, which is mainly composed of an F-shaped feeding strip, a coupled bending shorted strip, an upright copper plate and a parasitic ground structure. By introducing the F-shaped feeding strip, the coupled bending shorted strip and the upright copper plate, the working frequency of the antenna can cover the lower band (LTE700/GSM850/GSM900) and part of the upper band. Then, with further use of the parasitic ground structure, the upper band (DCS1800/PCS1900/UMTS2100/LTE2300/LTE2500) can be successfully covered in the proposed antenna. Moreover, in this antenna the non-ground portion height is only 7 mm, showing a fully coverage of 2G/3G/4G operating bands without any matching circuit, and great potential for applications in mobile wireless communication systems. In addition, a prototype of the proposed antenna is fabricated and characterized. From the experimental results, the measured -6 dB impedance bandwidths of the antenna at the lower and upper bands are 305 MHz (660-965 MHz) and 1290 MHz (1630-2920 MHz), respectively. Meanwhile, this antenna shows good radiation characteristics in the operating bands.
Operational Flexibility Evaluation of Distribution System with High-penetration Distributed Generation
Authors: Yanfeng Xia , Li Lu , Yunqiao Yan , Rui Hao , Jun Lu 
Published: November 2019

Abstract
Considering the uncertainty caused by the integration of high-permeability distributed generation into the distribution system, it is necessary to evaluate and enhance the operational flexibility of the distribution system. Firstly, the connotation and characteristics of operational flexibility are introduced, and the relevant factors affecting the operational flexibility are analyzed. Considering the probability of the load scenario, the quantitative operational flexibility evaluation index is proposed. Finally, using IEEE 33 node distribution system to prove operational flexibility evaluation index is reasonable and the role of energy storage devices in improving the operational flexibility.
Secure Edge Electricity Data Aggregation Scheme for Low Voltage Transformer Areas
Authors: Wang Zixiang , Liu Zhoubin , Zhou Ziqiang , Han Jiajia 
Published: November 2019

Abstract
The smart grid system is the physical power infrastructure integrated with many intelligent electronic devices. It supports the two-way flow of energy as well as information. The smart meters are important intelligent devices, which account for the largest portion among all terminals in the smart grid. In many application scenarios, the master station need high frequency total electricity consumption information of each low voltage transformer area. It requires frequent data interchange between smart meters and master station. However, the electric communication network cannot provide enough bandwidth resource to support such high frequency data interchange. Edge Computing Nodes (ECNs), which can be deployed at different low voltage transformer areas, can achieve the electricity data aggregation at the edge side. The communication resource can be saved since only aggregated electricity data will be uploaded to the master station. Traditional data aggregation scheme requires the plaintext from smart meters. From the viewpoint of security and privacy-preserving, it is not safe to implement the data decryption operation at edge side. Therefore, the data aggregation scheme with ciphertext is required at the edge side. In this paper, we propose a secure edge electricity data aggregation scheme based on homomorphic public key encryption techniques. The ECNs will implement the electricity data aggregation with the ciphertext from different smart meters, and the aggregated data will be transmitted to the master station through communication network. The mater station can use its public key to obtain the total electricity consumption of each low voltage transformer area.
Research on 3D measurement of underground displacement based on tipping capacitance
Authors: Li Zhiwen , Li Qing , Shi Ge 
Published: November 2019

Abstract
At present,there are many research methods for underground displacement measurement at home and abroad,such as borehole inclinometer technology,TDR technology, multi-point displacement meter,etc.,but none of them can truly realize the three-dimensional measurement of underground displacement.In view of this,the author has designed an experimental device of underground displacement three-dimensional measurement method based on twitch capacitor.The device is mainly composed of a twitch type capacitance device, a mutual inductance device,an inclination angle and an azimuth angle measuring sensor device, which realizes the measurement of the size and angle of the moving position after the device moves,obtains data through an STM32 singlechip,and transmits the measured data to an upper computer through a 485 bus,realization remote control and real-time underground displacement three-dimensional monitoring.
Research on K nearest neighbor identification of hand-drawn circuit diagram
Authors: Huoming Zhang , Lixing Shao 
Published: November 2019

Abstract
Aiming at the problem of accurately identifying each hand-painted electrical component in the hand-drawn circuit diagram, this paper proposes a region segmentation based on pixel number distribution, and a hand-painted electrical component recognition method based on KNN algorithm, the aim is to form a hand-drawn sketch recognition algorithm with better recognition indicators to improve the accuracy of recognition. In this paper, Python’s graphic pixilation module is used as a pixel segmentation tool. Based on 35 types of standard electrical components, the database is established. The Euclidean distance and KNN algorithm are used to obtain the corresponding classification and output recognition results. By comparing with other methods, the better identification indicators achieved by the experiment verify the effectiveness of the method.
Authentication of organic Lampung robusta ground roasted coffee by UV-visible spectroscopy and PLS-DA method
Authors: Yulia M , Suhandy D 
Published: November 2019

Abstract
In this research, a potential application of UV-visible (UV-Vis) spectroscopy combined with partial least squares-discriminant analysis (PLS-DA) method to discriminate Lampung robusta coffee with different fertilizer treatment was evaluated. The fully red ripened coffee beans were selectively harvested by hand from coffee plantation located in Lampung Barat of Lampung province from two different fertilizer treatments: chemically fertilized and organically fertilized. A number of 200 ground roasted coffee samples of each treatment (1 gram of each samples) was used as samples, respectively. The all coffee samples were extracted using hot distilled water. The aqueous coffee samples were pipetted into 10 mm of cuvette and the spectral data was obtained using a UV-Vis spectrometer in the range of 190-1100 nm. Principal component analysis (PCA) and PLS-DA method was used as unsupervised and supervised classification methods to discriminate the organic and non-organic coffee. The results showed that using the first two principal components (PCs), a clear separation between organic and non-organic coffee samples was achieved using modified spectral data in the range of 230-450 nm. The classification of organic and non-organic coffee using PLS-DA method resulted in high accuracy both for calibration and prediction steps. The overall result showed that UV-visible spectroscopy combined with PLS-DA method could be used as a low-cost, relative fast and green method to discriminate between organic and non-organic Lampung robusta ground roasted coffee.
Isolation and cloning of Rv3204 of Mycobacterium tuberculosis to Escherichia coli BL21 as vaccines tuberculosis : A preliminary Study
Authors: Agus R , Hidayah N , Sjafaraenan  
Published: November 2019

Abstract
Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis (Mtb). TB prevention is done through vaccination using the Bacille Calmette-Guerin (BCG) vaccine. There are weaknesses in this vaccine, so research is still needed in the search for specific antigens. One potential is the Rv3204 gene that encodes the methylated DNA-protein cycteine methyltransferase protein 11 kDa (MTSP11). This protein is immunogenic because it can produce interferon-γ (IFN-γ). The purpose of this study was to isolate and clone the Rv3204 Mycobacterium tuberculosis into Escherichia coli BL21 as vaccine tuberculosis. The research stage was amplification of Rv3204, ligation to pQE-30 Xa expression vector and transformation to Escherichia coli BL21 host cells on LB medium. Characterization was carried out by PCR analysis to recombinant plasmid isolation. The results showed that Rv3204 encoding MTSP11 was successfully cloned to E. coli BL21 with white colony formation and characterization showed that the band was 306 bp as the Rv3204 gene.
Visible reflectance characteristics of marine debris in the sandy beach
Authors: Faizal A. , Samad W. , Werorilangi S. 
Published: November 2019

Abstract
Marine debris has become a global thread to the coastal and marine areas, and the major causes for the decrease in the quality of aquatic environment. The study was aimed to document the spectral features of several types of marine debris based on criteria and developing spectral libraries which can distinguish between debris and substrate where the marine debris location is found. The marine debris data was collected from the coast of Makassar City, South Sulawesi. The spectral sample was measured using a 4000 A spectroradiometer that works on a wavelength spectrum 340 - 1040 nm. The results showed that the identification of marine debris on the optimal sandy beach can be done at 480-620 nm wavelength.
Isolation and characterization of bacteria from mangrove sediment at coastal area in Pangkep South Sulawesi
Authors: Ambeng  , Zubair H , Oka NP , Tonggiroh A 
Published: November 2019

Abstract
Mangrove ecosystem is an area with high potential of natural resourceswhich nowadaysremains unexplored. One of them is microorganismsthathidden in the depth of the mangrove sediments. Therefore, this study aims to isolate and characterize mangrove’s sediment bacteria from estuary coast of Pangkajene River, South Sulawesi, Indonesia. Sampling activities conducted at 6 stations with 3 different depths, those are 0-15 cm, 15-30 cm and 30-45 cm. Microbiological analysis includes microscopic, biochemical and analysis of the abundance of bacterial colonies using Total Plate Count test.From isolation and characterization, it was obtained 35 bacterial isolates consist of 7 different genus, those are Bacillus, Staphylococcus, Vibrio, Macrococcus, Alteromonas, Escherichia, and Listeria. Furthermore, result fromTotal Plate Counttest obtained variedwith the highest abundance of bacterial colonies was found atthe depth of 30-45 cmwith 9.48 x 104CFU.
The relationship between the length and weight of snail Nerita lineata Gmelin 1791 on environmental factors in the mangrove ecosystem
Authors: Samsi A N , Karim S 
Published: November 2019

Abstract

Nerita lineata snails are found in the mangrove ecosystem. This snail attaches to the roots of mangroves. This study aims to find the relationship between the length and weight of Nerita lineata’s snails to environmental factors. Sampling was carried out using four plots of 0.5m x 0.5m in a 10m x 10m plot. The research station is 3; station A with mangrove age ⩽10 years, station B with mangrove age ⩽20 years, and station C with mangrove age ⩽30 years. Data were analyzed by regression and t-independent test. The length of the snail that is dominant in the mangrove is 22.27 - 25.57 mm and the dominant weight is 4.93 - 6.09 gr. Salinity and pH of seawater significantly affected the length of N. lineata’s snail shell. Total organic matter significantly affected the weight of N. lineata snails. The average length and weight of N. lineata snails at each research station did not differ.
Cultivation of adipose-derived mesenchymal stem cells from Rat Rattus norvegicus by using mechanical + enzymatic method
Authors: Nurpratama L , Sjafaraenan  , Rilianawati  
Published: November 2019

Abstract
Stem cells (stem cells) are the cells that do not have specific functions, can also differentiate into more than one type of cell that build tissues or organs of the body. In order to cultivate the stem cells from the primary tissue properly, it is necessary to optimize stem cells based on previous research methods. The design of this study was to cultivate mesenchymal stem cells from adipose (fat) tissue of Rat Rattus norvegicus by using mechanical + enzymatic method. The qualitative parameters that discussed were the option of handling isolation, time of incubation before cells reached confluence, and the morphology of mesenchymal stem cells obtained in each culture based on visual data using an inverted microscope. The quantitative parameters that analyzed were trypan blue assay and MTT assay. The results showed that the cultivation of mesenchymal stem cells were higher in the mechanical + enzymatic method compared with enzymatic methods. This method had a growth time from day 1 until it reached 80% confluence until day 7 and could be maintained until reached 90% confluence on day 9. Proliferation test by MTT assay showed the average of absorbance value was 0.942 with the cell number was 7.25 × 104 cells/µL. Further research is needed by flowcytometry assay and differentiation of this mesenchymal stem cells into osteocytes, adipocytes and chondrocytes.