bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research and Design of Wireless Communication Module Based on Single Chip Microcomputer
Authors: Du Li 
Published: November 2019

Abstract
This paper studies a wireless communication control module with AT89S52 microcontroller as the control core. The basic principle, main circuit, hardware framework and software framework of the system are described in detail. The whole system adopts modular design, which mainly includes wireless communication control circuit between single-chip microcomputer and lower-level computer, and communication interface circuit between wireless communication module and 51 single-chip microcomputer. The communication control system communicates with the nRF2401 through the SPI of the 51 single chip microcomputer, thereby forming a connection with the lower computer through the wireless communication control module, controlling the lower machine motion controller, and saving the data received by the communication into the extended memory. The communication method of this module is simple, in addition to remote real-time control, it can also be widely used in industrial monitoring and data acquisition systems.
The Design of Planar Rectangular Spiral Antenna for Corona Discharge in Transmission Lines
Authors: Yin Chuangrong , Wei Haikun , Kuang Fan , Hei Guoyu , Zhang Wei 
Published: November 2019

Abstract
With the increasing grade of high voltage transmission lines, the frequent occurrence of corona discharge has brought great potential safety risk and power losses to power system. Therefore, the detection of corona discharge in transmission lines is of great significance to power system. Rectangular spiral antenna is widely used because of its smooth impedance and better circular polarization characteristics. In this paper, a planar rectangular spiral antenna is designed for the detection of radio frequency electromagnetic waves given out corona discharge of transmission lines. The basic structure of the antenna is determined by optimizing the length, spacing and turns of coil. The feasibility of the antenna is verified by experiments.
Grid dispatching domain division related to large-scale renewable energy grid-connecting
Authors: Shunjiang Wang , Yapu Zhang , Yan’an Li , Rongbin Ju , Zeng Li 
Published: November 2019

Abstract
As the proportion of renewable energy access to the grid increases, regional phenomenon of wind power and photovoltaic curtailment highlights. In order to improve the capacity of new energy consumption and alleviate the complexity of power grid scheduling, a regional power grid scheduling domain partitioning method for high proportion of renewable energy access is proposed. The renewable energy regional grid operation domain is divided into normal domain, abnormal domain and emergency domain, and combined with the regulation capability of conventional thermal power units and the power fluctuation ability of energy storage, the divide indicators of each operation domain is defined. Finally, an example analysis of the Dalian regional power grid in Liaoning is carried out to verify the validity and correctness of the grid multi-domain division method.
Multi-wind Farm Output Correlation Model Based on Clayton-Copula Function
Authors: Jinning Shan , Xiaodong Chen , Chenqi Wang , Guiyang Xing , Baoshi Wang 
Published: November 2019

Abstract
Because multiple wind farms are connected to the grid at the same time and the total amount of energy in the same wind zone is limited, there is a strong correlation between wind farms with similar geographical locations. Neglecting this correlation can lead to a large difference between wind power analysis and actual operation, which in turn leads to a series of adverse consequences. In this paper, we use nuclear density estimation to establish the edge distribution of wind power output, compare and analyze various Copula functions based on correlation parameters and entropy weight optimization theory. The simulation analysis results show that the Clayton-Copula function is the best correlation function, which can describe the tail part of the random time series more accurately.
Power Consumption Prediction Based on Deep Learning
Authors: Zhang Xuanwen , Liu Li 
Published: November 2019

Abstract
The purpose of this paper is to select a power consumption forecasting method with high accuracy and low error. Previous power consumption forecasting methods are basically based on the optimization and improvement of the original classical forecasting methods, and the error has not been substantially reduced. It was not until 2006 that the unveiling of deep learning technology opened a new chapter in the direction of artificial intelligence, and the research of power consumption forecasting has ushered in a new wave.
In this paper, the origin of deep learning technology is introduced, and the LSTMs model of deep learning is built, and the short-term electricity consumption forecasting model is built, which can complete the forecasting of the time series of electricity consumption.
At the end of this paper, a case simulation analysis is carried out. After 57 days’training of power consumption data, the power consumption curve in the next week is finally obtained. It is found that the error rate is very small and the accuracy is high.
Research on HVDC Converter Valve Thyristor Overvoltage Protection
Authors: Wang Zhen , Feng Lei 
Published: November 2019

Abstract
Converter valve is the core component of HVDC system, and its safety operation is significant for the system. However, the ability of thyristor in converter valve to withstand overvoltage is weak. Even transient overvoltage can lead to thyristor breakdown. Thus, thyristor is needed to configure overvoltage protection. The paper analyzes two kinds of thyristor overvoltage protection scheme BTC (Backup Trigger Circuit) and BOD (Break Over Diode), and then sets up PSPICE models to conduct simulation analysis. Finally, the performance of the two kinds of overvoltage protection is verified by practical circuit experiment. The result shows that both protection schemes can satisfy the requirement of thyristor overvoltage protection.
Research on data transmission based on power line carrier
Authors: Zhang Chuyu , Deng Huaqiu 
Published: November 2019

Abstract
In the research of power line carrier data transmission, STC89C52 chip is selected as the core microprocessor and KQ130F carrier module as the receiving and transmitting carrier of the system. The optimization of modulation and demodulation rate and the reduction of bit error rate are realized by improving the programming algorithm in the transmission process. In the analog LED street lamp monitoring system, the PC performs the data transmission test by setting up the hardware test platform through the actual application process of the power line carrier to the terminal control.
Smart Grid Risk Warning Based on Multi-Level Fuzzy Analytic Hierarchy Process
Authors: Zhang Liang , Wang Shudong , Jia Guangyao , Chen Lu 
Published: November 2019

Abstract
Real-time control of the risks that may occur in the smart grid is of great significance for the safe and efficient operation of the smart grid. This paper establishes a risk early warning system for smart grids based on analytic hierarchy process and fuzzy theory. Firstly, the analytic hierarchy process is used to comprehensively consider the system line, load, system power supply capacity and environment and other factors to establish a smart grid evaluation index system. Then the comprehensive weights of each level of indicators are calculated, and then the evaluation matrix of the index is established by combining the membership function. Finally, the fuzzy theory is used to predict the system risk. The case study shows that the qualitative and quantitative early warning system for assessing smart grid risk has good practicability.
Frequency hopping radio individual identification based on energy spectrum blended subtle characteristics
Authors: Yang Xin , Qi Zisen , Wang Shaobo 
Published: November 2019

Abstract
For the problem of low recognition rate and large computational complexity of frequency hopping radio stations, a blended subtle characteristic extraction method based on energy spectrum is proposed. Considering that the time-frequency energy distribution is widely used in individual feature extraction, the time-frequency energy spectrum of the frequency hopping signal is obtained by the sparse reconstruction method firstly. Then the fractal theory is used to extract the feature vector set including time-frequency energy spectrum Rayleigh entropy, multi-fractal dimension and difference box dimension with multi-scale block extraction. Finally, the support vector machine classifier is used to train, classify and identify the feature set to realize the individual identification of the frequency hopping station. The recognition performance of the proposed method and the other two methods are compared and verified through the frequency hopping signals of four stations. The experimental results show that compared with the other two methods, the proposed method has higher recognition rate under low SNR and a small number of training samples.
Design of weak signal detection circuit of CMOS detector with large dynamic range by twice sampling method
Authors: Weiming Wang , Yuanqing Gu , Xiangdong Luo 
Published: November 2019

Abstract
In the field of detecting weak signals with large dynamic range, CMOS image sensor, as an optical sensor component, has the advantages of large dynamic range and wide spectral response range, and is often used to detect weak signals. The commercial CMOS image sensor system usually adopts the ADC with 16-bit accuracy, which can not satisfy the detection of weak signal in some cases. In this study, CMOS image sensor S10122 chip from Hammatsu company of Japan was used as the core device. ADI company’s 16-bit ADC chip LTC2182 and 16-bit DAC chip LTC1668 were used. The circuit was designed according to twice sampling principles to improve ADC accuracy. The results show that the accuracy of ADC can be improved from 16 to 18 bits under certain conditions.
Measurement matrix design for colocated MIMO radar imaging based on Compressive Sensing
Authors: Wang Yuchen , Hu Xiaowei , Guo Yiduo 
Published: November 2019

Abstract
Compressive Sensing (CS) is recently used in the colocated MIMO radar to reconstruct the high resolution range profiles (HRRPs) of the target. By exploiting the joint-block sparsity of the HRRPs, the reconstruction result is improved significantly. In this paper, a compressive measurement matrix is designed to reduce the amount of data. An objective for measurement matrix optimization is presented by considering the block sparsity of the HRRPs, and the Weighted Coherence Minimization algorithm is used to optimize the measurement matrix. Simulation results show that the optimized measurement matrix is superior to the Gaussians randomly measurement matrix which doesn’t utilize the block sparsity of the HRRPs.
Overview of the Third International Conference on Science (ICOS) 2019
Authors: Azis M I 
Published: November 2019

Abstract
The Third ICOS 2019 was hosted by Hasanuddin University, Makassar, Indonesia and held in Makassar Indonesia in July 26-27, 2019 at the Four Points by Sheraton Hotel, Jalan Andi Djemma No. 130, Makassar 90222 Indonesia. This overview describes the main directions and results of the Third International Conference on Science. It gives the details about the participants and the proceedings.
In silico approach of antidiabetic compounds from Caesalpinia crista seed through docking analysis and ADMET predictions
Authors: Sulfahri  , Arif A R , Iskandar I W , Wardhani R 
Published: November 2019

Abstract

Caesalpinia crista (Fabaceae) is one of the herbs traditionally used as a drug for the diabetic. This study aimed to discover bioactivity of the α-caesalpin compound from Caesalpinia crista for antidiabetic based on reverse docking studies. Structures of chemical constituents of Caesalpina crista (α-caesalpin) was collected from published literature. The water molecule and ligands were removed by using PyMOL v1.7.4.5 Software (Schrödinger). Molecular docking experiments were performed using the PyRx 0.8 software. Prediction and significant descriptors of Physicochemical Properties, Lipophilicity, Pharmacokinetics and Druglikeness properties of the compounds were predicted using Swissadme. The results showed that α-caesalpin has greater potential as an antidiabetic based on its binding affinity and intermolecular interactions. The binding affinity of α-caesalpin with NOS3 protein is -7.9, while binding affinity NOS3 with the control compound β-estradiol is -10.1. AMES Test showed that α-caesalpin is not potential mutagens and not carcinogens. Druglikeness prediction showed that α-caesalpin fulfil the rules of Lipinski, Ghose, Veber, Egan and Muegge with 0.55 Bioavailability Score.
The simulation model of rainwater utilization management to fulfill the water requirement of corn feed plants in the slope area of hills: A Case study of corn feed cultivation for the planting period from March to June in Benteng Gajah village, South Sulawesi, East Indonesia
Authors: Hasbi M , Darma R , Rukmana D , Toaha S 
Published: November 2019

Abstract
Water is a basic need of living things. When its population increased, its water needs also increased. The purpose of this research was to construct an optimal model of rainwater utilization management (RWUM) in the slope area of hills: Case study at corn feed (Zea mays L.) plants (CFP) in Benteng Gajah village, South Sulawesi, Eastern Indonesia with simulation method. The data supported in this simulation were: Water need of the CFP during May to June 2019; The average yearly rainfall data of the village; The topography data of the CFP sample location. There were three simulation scenarios of the RWUM model. Those scenarios were differentiated by altitude zones. The first scenario located in the lower zone, the second scenario located in the middle zone, and the third located in the upper zone. The study showed that the optimal RWUM model was the third scenarios. The cost differences of the scenarios mainly lied on the operational cost of pumping, the RWUM infrastructure maintenance, number of employee working hours, and fuel cost of pumping. The ratio of the estimated operational cost among scenario I, scenario II, and scenario III respectively were 9:5:1.
Utilization of Nypa fruit in Alzheimer’s Disease: An In Silico Approach
Authors: Sulfahri  , Wardhani R , Makatita F A , Iskandar I W 
Published: November 2019

Abstract
This research aims to analyze the phytochemical potential of Nypa fruticans fruit for Alzheimer’s disease through molecular docking method. In 2007, it is estimated that 1 of 85 world population suffer from alzheimer and the number will be doubled in 20 years. The treatment of Alzheimer’s disease still relies on synthetic medicine. Indonesia as a mega-biodiversity country need to explore the natural resources for medicine, especially for Alzheimer’s disease treatment. Nypa fruticans fruit has several compounds like Kaempferol, Rutin, Quercetin, Chlorogenic Acid, Cinnamic Acid, Protocathecuic Acid, and Gallic Acid. These compounds could inhibit Acetylcholinesterase (AchE) enzyme activity. AchE is an enzyme that hydrolyzes acetylcholine to reduce the number of neurotransmitters. Biological activity of Nypa fruticans compound could be predicted with molecular docking and use score of binding affinity as a parameter for the ability on Acetylcholinesterase enzyme inhibition. The step consist of preparation of ligand and target protein, molecular docking, and drug-likeness test. The result shows that the compound of Nypa fruticans fruit potential for Alzheimer’s disease treatment, the compound who has the highest binding affinity is kaemferol of -9.6.
Bioethanol production from algae Spirogyra peipingensis using Saccharomyces cerevisiae, Pichia kudriavzevii and Kluyveromyces thermotolerans
Authors: Sulfahri  , Husain D R , Kasbawati  , Tassakka A C M , Nurfadilah  , Wulandari D P , Taufan W L 
Published: November 2019

Abstract

Spirogyra peipingensis algae is a microscopic green algae which is one of an alternative raw material to producing bioethanol because it has a high carbohydrate about 64%. This study aims to discover the growth of various types of yeast in S. peipingensis algae medium in producing bioethanol. This study uses hydrolysis methods and fermentation methods. In this study, the hydrolysis method using α-amylase enzyme as much as 150 KNU/L. The type of yeast used was Saccharomyces cerevisiae, Pichia kudriavzevii and Kluyveromyces thermotolerans. The result shown that the optimal yeast growth in producing ethanol is S. cerevsisiae was 0,49 g ethanol/g sugar at 10 hours fermentation duration. Based in the result shown that S. peipingensis algae can be used as raw material for producing bioethanol by using Saccharomyces cerevisiae.
Studies on microplastic contamination in seagrass beds at Spermonde Archipelago of Makassar Strait, Indonesia
Authors: Tahir A , Samawi M F , Sari K , Hidayat R , Nimzet R , Wicaksono E A , Asrul L , Werorilangi S 
Published: November 2019

Abstract
There is growing awareness and concern on microplastics pollution in marine environments. Seagrasses are among the most productive shallow water ecosystems, serving a diverse assemblage of fish and invertebrates. Sediment and benthic animal samples collected from small islands at Spermonde archipelago confirmed the presence of microplastics with different levels of contamination. The occurrence of microplastics for up to 28.29% and 25% of contamination level in sediments and benthic animals, respectively, clearly indicated an alarming state of the microplastics pollution in rich and productive shallow water seagrass ecosystem of tropical seas. Moreover, all positively contaminated microplastics of benthic animals are for human consumption and therefore pose threats for microplastics transfers which may facilitate pathways for a wide spectrum of organic pollutants entering the food web and affecting human health.
Effectiveness of methanol extract hydroid aglaophenia cupressina lamoureoux as antimicrobial in resistant Methicilline Staphylococcus Aureus (MRSA), Shigella sp., Malassezia furfur, and Candida albicans
Authors: Johannes E , Litaay M , Haedar N , Randan V V , Rupang N S , Tuwo M 
Published: November 2019

Abstract
Currently there are many studies that utilize potential of marine resources, because there are many potential bioactive compounds to be developed, especially to overcome multi-drug resistant (MDR) against antibiotics. Hydroid Aglaophenia cupressina Lamoureoux is a marine invertebrate that is often found around spermonde waters containing bioactive compounds that can be developed as a basic ingredient in medicine. This study aims to determine the effectiveness of methanol extract from the Aglaophenia cupessina L. hydroid in inhibiting the growth of Shigella sp. Sd 1617 bacteria, Methicillin-Resistant Staphylococus aureus (MRSA) ATCC 25923 and Malassezia furfur fungi ATCC 14521, and Candida albicans ATCC 10231. In this study, the bioactivity test of methanol extract was carried out by swab method on NA and PDA medium. The concentration of methanol extract used is 5%, 10%, 20% and 40%. Data obtained from measurements of inhibition zone diameter during the incubation period of 24 hours to 48 hours in the Shigella sp. and Methicillin-Resistant Staphylococus aureus (MRSA). While for the Malassezia furfur and Candida albicans fungi incubated for 48 hours to 72 hours. Data obtained in descriptive analysis. The results showed that methanol extract from Aglaophenia cupressina L. hydroid has potential as an antimicrobial which is bactericidal at all test concentrations against the bacterium Shigella sp., Methicillin-Resistant Staphylococus aureus (MRSA) is bacteriostatic (5%, 10%, 40%), bactericidal at a concentration of 20%. Against the fungi Malassezia furfur showed fungistatic properties in all variations in extract concentration, and against Candida albicans was fungicidal at concentrations of 5% and 10%, while concentrations of 20% and 40% were fungistatic.
Microstructural analysis of silver nanoparticles resulted through bioreduction using Abelmoschus esculentus leaf extract
Authors: Roddu A K , Wahab A W , Ahmad A , Taba P 
Published: November 2019

Abstract
Microstructural analysis of silver nanoparticles produced through bioreduction using Abelmoschus esculentus leaf extract was carried out. Biosynthetic reactions produce silver nanoparticles by mixing Ag+ and Abelmoschus esculentus leaf extracts. The formation of nanoparticles characterized by changes in the solution from yellow to brown. Silver nanoparticles were analyzed using XRD, and the analysis results show that the average size of silver nanoparticle crystals is 41.9 nm with strain and stress values of 7.5 x 10−5 and 0.4908 MPa, respectively. The calculation results show that silver nanoparticles produced have energy density and dislocation density crystals 3.72 J/m2 and 5.9 x 1022 m−2. Based on the prediction of the mechanism carried out the bioreduction process occurs through the use of quercetin-4”-O-methyl-3-O-β-D-glucopyranoside compounds with the orientation of the crystal are FCC and BCC.
Synthesis and activity of N-(o-tolyl)caffeamide and N-(o-tolyl)-p-coumaramide against P388 leukemia murine cells
Authors: Firdaus  , Seniwati  , Alamsyah N , Paramita S 
Published: November 2019

Abstract
Ester derivatives of p-hydroxycinnamic compounds have high anticancer activity. However, the ester compounds usually easier to be decomposed than their amide derivates, so the ester compounds have a low potential to be applied as anticancer. In this research, the amide derivatives of caffeic and p-coumaric acids have been synthesized using o-tolylamine to give trans-N-(o-tolyl)caffeamide (5a) and trans-N-(o-tolyl)-p-coumaramide (5b), respectively. The products were characterized by FT-IR, 13C-NMR, and 1H-NMR methods. In the FT-IR spectrum, compound 5a showed absorption bands of N-H bond at 3236.55 cm−1 and 1533.41 cm−1 as stretching and bending vibrations, respectively; and compound 5b had absorption bands at 3267.41 cm−1 and 1527.82 cm−1. In the 13C-NMR spectrum, compound 5a gave 15 of peaks that representing 16 of carbons, and compound 5b gave 14 of peaks that were also representing 16 of carbons. In the 1H-NMR spectrum, the peak of N-H of compound 5a and compound 5b appeared at 8.57 ppm and 8.87 ppm, respectively. Activity assay results of both compounds against P388 leukemia murine cells indicated that both compounds have a high potential as anticancer, especially compound 5a. The compound 5a was more active than the analogous compounds which the previous synthezised.