bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance of distance-based k-nearest neighbor classification method using local mean vector and harmonic distance
Authors: Parulian Sinaga Dedi Candro , Tulus  , Sihombing Poltak 
Published: January 2020

Abstract
K-Nearest Neighbor was one of the top ten algorithms data mining in the classification process. The low accuracy results in the K-Nearest Neighbor classification method was caused of this method used the system of majority vote which allowed the selection of outliers as the closest neighbors and in the distance model used as a method of determining similarity between data. In this process it is evident that local mean vector and harmonic distance can improve accuracy, where the highest increase in average accuracy obtained in the set data wine is equal to 6.29% and the highest accuracy increase for LMKNN is obtained in set data glass identification which is 16.18%. Based on the tests that had been conducted on all data sets used, it could be seen that the proposed method was able to provide a better value of accuracy than the value of accuracy produced by traditional K-Nearest Neighbor and LMKNN.
Combination of k-means with naïve bayes classifier in the process of image classification
Authors: Wayahdi M R , Tulus  , Lydia M S 
Published: January 2020

Abstract
In this paper, the data which has been tested is the image of bananas extracted based on the colour characteristics and statistics, namely red, green, blue, hue, saturation, value, average, variance, skewness, kurtosis, and energy. Image data is extracted as much as 60 data for training data, and images for test data as many as 105 data. From the 105 image data has been tested, the number of correct test data is 89 data and the number of incorrect test data is 16 data. The total percentage obtained from the test is 85%. The results obtained are a collection of images based on the level of maturity that is mature, medium, or raw.
Hybrid cryptosystem multi-power RSA with N=PmQ and VMPC
Authors: Erdiansyah U , Nasution MKM , Sawaluddin  
Published: January 2020

Abstract
In digital world, data and information is very valuable and much targeted by unauthorized parties. One way to secure messages is cryptography. Cryptography itself is a branch of science in concealing messages. In further development a hybrid cryptosystem was formed which combines symmetrical and asymmetric cryptography, which in this paper uses VMPC and Multi-Power.. The RSA Multi-Power algorithm is an asymmetric algorithm that is excellent at message encryption but requires a long process time because it uses very complicated calculations. While VMPC has advantages in the process with fast time and relatively small size of ciphertext. Here we have analyzed the performance of various variants of RSA that have been hybridized with VMPC and given the results.
Analysis of performances k-nearest neighbor for regulate learning
Authors: Syuhada Rahmad , Mawengkang Herman , Lydia Maya Silvi 
Published: January 2020

Abstract
Self-regulation is a process to turn and arrange thoughts, behavior and deep emotion of achieving goal, predict the outcome of student learning achievements with the criteria for assessing which cognitive and affective. This can be seen in the students who has not reached minimum criteria 100 % of the final test which received by students. Research now applied performance and looking for value k best with the nearest distance related the ability self-regulation students to learning achievements. Learning outcomes low is something that should not be left, because bad for the future students. Therefore need to followed up in improving self-regulation learning. So, did analysis by using the method k-nearest neighbor.
Optimization of K Value at the K-NN algorithm in clustering using the expectation maximization algorithm
Authors: Lubis Zulkarnain , Sihombing Poltak , Mawengkang Herman 
Published: January 2020

Abstract
Data is the most important thing in a study. The quality of the results of the research will be directly proportional to the quality of the data that will be used in the research is concerned. One of the problems that exist in the data set is the absence of a value in the data for a particular attribute or better known as the missing data. One method that is often used by researchers is the k-nearst Neighbor (KNN). However, this method has several drawbacks, one of which is the selection of appropriate values of k not to degrade the performance of the classification. In the process of calculating the parameters k KNN there that can affect the accuracy of the classification results. To use more than one parameter k then used by majority voting to determine the classification results. If the parameter k in KNN classification used 1 then the result was very tight because it will use the nearest neighbor to the results of the classification. Conversely, if the value of the parameter k used KNN is great then the classification results will blur.This research will optimize the parameters k in the UN tax cluster using the algorithm expectation Maximation(EM). The results of the research in the form of clustering information by using the number of clusters k value optimization and the number of clusters without using the optimization of the value k. Then analysis the results after getting data already clustered. Results from the study showed that k obtained from the optimization algorithm can improve the results of the cluster where the 66% error can be reduced to 64%, yet very close to the best result of the measurement accuracy is tested.
Implementation of the sugeno fuzzy logic method in identifying the quality of coffee beans
Authors: Limbong Tonni , Siagian Parulian , Gultom Tumiur , Simarmata Janner 
Published: January 2020

Abstract
Identifying the quality of coffee beans is quite important to be followed up better because it involves the products to be processed or traded. Because the management is quite a lot and complicated, it is proposed to design an application for identifying the quality of coffee beans. With these demands, it is necessary to measure the quality of coffee beans by using Sugeno’s Fuzzy Logic method. The identification of the quality of coffee beans using Fuzzy Sugeno by using the Sugeno Fuzzy model of the zero order and using the rule as much as 36, which is in accordance with the need to support the conclusions of quality from the identification results.
Analysis of the formation of a dynamic brief key algorithm RC4+ for file security
Authors: Karo-Karo Siddik , Tulus  , Zarlis M 
Published: January 2020

Abstract
The development of technology, makes it easy for us to communicate and exchange information and can also have an impact on the development of cryptographic algorithms. An algorithm that is used to do encryption and decryption must not only be correct, but also must be used efficiently. An algorithm is said to be efficient if the algorithm uses relatively smaller memory and has a fast processing time. So far, many studies have discussed the efficiency of an algorithm. Regarding the measurement of time and memory space needed is known as algorithm complexity. The complexity of the algorithm itself can be interpreted as a number of computational steps carried out by an algorithm to solve problems. The RC4 + algorithm is a symmetric algorithm that is used to encrypt and decrypt messages, and use the same key in the encryption-decryption process. The key used is the RC4 + session key key. In the result, the amount of memory needed by the modified RC4 + Algorithm is more. Execution time or runtime The modified RC4 + algorithm for encryption and decryption is much faster than the original algorithm.
Analysis SURF feature extraction and SVM classification for the facial image recognition from various angles
Authors: Rambe Aripin , Sihombing Poltak , Tulus  
Published: January 2020

Abstract
Biometric is a series of procedures used to measure the physical properties of a person based on your physical characteristics of a person’s behavior in identification and verification. One facial biometrics ie, feature extraction Speed Up Robust Feature (SURF) will be suitably used for extracting the characteristics of the face image. Support Vector Machine (SVM) will be used as a method of classification. The face data used in this study were obtained from the National Cheng Kung University (NKCU). SVM classification results with the help of SURF as a model feature extraction with the determination of the number of k = 50 gained 94.60% accuracy rate, k = 500 acquire a 100% accuracy rate and the number of k = 1000 classification results decreased with 93.70% accuracy rate.
Combination of solar and wind power to create cheap and eco-friendly energy
Authors: Tharo Zuraidah , Dharmawati  , Alfi Syahri M. 
Published: January 2020

Abstract
The Economic growth of North Sumatra is ideally 6% or more. Achieving this number is needed the investment in various sectors at Rp 120 trillion. The Energy isthe main factor for achieving the growth. A Deficit of electrical energy in North Sumatra, is depended by our increasing on imports of fuel, gas and electricity supply from diesel boat. This problem is added by the growth in energy needs of 6.86%. The use of rainy and dry seasons is as a reference in producing a combination of the wind and solar power. Both of these energy sources aim to complement each other in optimizing the electricity produced. The concept of a combination or hybrid between solar panels and vertical axis, wind turbines will accelerate more the charging and storage of energy into batteries for electrical the energy needs. From test performed with 100wp solar panels and vertical type wind turbines with low rpm < 300 which have been combined, it can produce 700 watts of electricit. These results have fulfilled for the needs or energy requirements in one simple house.
Effects of Friction Time on microstructures and mechanical properties of friction welded T92/Super304H dissimilar steel weld joints
Authors: Lu Yuan , Li Debiao , Bi Cheng , Sun Fuyang , Zhang Jianlong , Cao Bo 
Published: January 2020

Abstract
In this paper, the T92 martensitic steel and the Super304H austenitic steel were welded by continuous drive friction welding technique. The friction welding joints exhibited good mechanical and metallurgical properties. The influence of friction time on the microstructure and mechanical properties of T92/Super304H dissimilar steel joints was investigated. With an increase in the friction time, the grains in the welding zone and the heat affected zone didn’t grow up and the number of second-phase particles precipitates increased. The tensile fracture location was in the Super304H base metal and didn’t change. With an increase in the friction time, the tensile strength didn’t change, and the impact toughness decreased.
Effects of Friction Pressure on Microstructures and Mechanical properties of friction welded Super304H austenitic welding joints
Authors: Lu Yuan , Li Debiao , Zhang Jianlong , Bi Cheng , Sun Fuyang , Yang Yang 
Published: January 2020

Abstract
In this paper, the Super304H austenitic steel were welded by continuous drive friction welding technique. The friction welding joints exhibited good mechanical and metallurgical properties. The influence of friction pressure on the microstructure and mechanical properties of Super304H welding joints was investigated. With an increase in the friction pressure, the grains in the welding zone and the heat affected zone didn’t grow up and the number of the precipitated phases increased. The fracture location of tensile strength samples was in the heat affected zone. With an increase in the friction pressure, the Vickers hardness and the tensile strength increased.
Application Research of Quantitative Deductive Kansei Engineering in APP Interface Optimization Design
Authors: Ding Yuanyuan 
Published: January 2020

Abstract
In order to better explore people’s emotional appeals in the design of Application interface, this paper applies the quantitative deductive method of Kansei Engineering to the research of its optimization design. Firstly, questionnaire survey, cluster analysis and other methods are used to determine the design elements of APP interface and representative perceptual words, and then the semantic difference method is used to establish the relationship between the two, so as to carry out perceptual evaluation on representative APP interface samples. On this basis, qualitative analysis is used to explore the corresponding relationship between perceptual words and design elements. Finally, the validity of the conclusions obtained from the qualitative analysis is verified by the orthogonal analysis method, and the corresponding relationship between the consumer’s emotional demands and APP interface design elements is thus established.
Effect of C/C preform density on oxidation properties of C/C-SiC composites
Authors: Yao X Y , Li W , Feng G H 
Published: January 2020

Abstract
In order to study the effect of C/C preform on the oxidation properties of C/C-SiC composites, four kinds CVD-SiC coated C/C-SiC composites with different initial densities of C/C preform were prepared. The thermogravimetric oxidation behavior from 25 to 1450°C of prepared C/C-SiC composites and the isothermal oxidation of CVD-SiC coated C/C-SiC composites under static air at 1500 °C were studied. And the bending properties of SiC coated C/C-SiC composites before and after oxidation were investigated. The results show that the initial oxidation temperature of C/C-SiC composites increases first and then decreases with the increase of initial C/C density, which is determined by the porosity and SiC content of the composites. When the C/C density is 1.0 g/cm3, the initial oxidation temperature is 633 °C. The CVD coated C/C-SiC composites with initial C/C density of 1.0 g/cm3 exhibited the best static oxidation resistance at 1500 °C. The weight loss is 4.23% after oxidation for 10 h at 1500 °C, and the bending strength retention rate is 71.2%.
Study on the Effect of Fabric Parameters on the properties of Wave-Transparent Composites
Authors: Lan Tian , Liang Yin , Lu Zhongyuan , Li Nan , Pei Yuchen 
Published: January 2020

Abstract
Novel fabric structures of wave-transparent composites having excellent dielectric property were successfully prepared using autoclave moulding. The influence of fabric parameters (such as weaving patterns, hollow ratio, mix structure) on the properties of quartz fiber-reinforced modified cyanate ester composite were systematically investigated. The results show that satin weave fabric-reinforced composites have better mechanical performance than plain weave fabric--reinforced composites. With hollow ratio of fabric increasing the dielectric properties of composites becomes better, except for the mechanical performance. The prepared hollow/solid quartz fabric-reinforced composites in this study display lower dielectric constant and better mechanical properties than quartz/Aramid III and quartz/Poly-p-phenylene benzobisoxazole(PBO).
Fabrication and ablation resistance research of C/ZrC-SiC composites
Authors: Yu Yi , Jiang Bai-hong , Liu Wei , Jin Xin , Zhang Bao-peng , Liu Jun-peng 
Published: January 2020

Abstract
C/ZrC-SiC composites were prepared by precursor impregnation pyrolysis (PIP) process. The ablation resistance of the composites was studied. The residual mechanical property of the composites after ablation was compared and analyzed. The results show that the prepared C/ZrC-SiC composites have good ablation resistance under high temperature oxidation environment. The ablation amount in large area is less than 0.1 mm. The ablation products on the surface of the composites are mainly composed of SiO2 and ZrO2, forming a denser oxide film, which has a good protective effect on the structure of the composites. The data of residual mechanical properties indicate that the synergistic effect of high temperature and thermal stress under ablation environment may lead to the decrease of mechanical strength of composites.
Study on the influence of anticorrosive coating on chloride ion erosion resistance of concret
Authors: Du Tianyang 
Published: January 2020

Abstract
With the development of The Times and the progress of the society, more and more buildings have been built, more and more roads and bridges have been built, that is to say, the number of concrete structures is increasing.While concrete is convenient for our life, we also find that in the service of concrete structure, its durability sometimes fails to reach the designed service life. Especially, concrete buildings in coastal areas are corroded by chloride ions for a long time, which causes damage to the concrete structure.An effective way to solve this problem is to apply anti-corrosion coating on the concrete in service.This paper aims to introduce the influence of different anticorrosive coating systems on chloride ion erosion resistance of concrete.Through drilling samples of concrete specimens with dry and wet circulation in 10% NaCl solution.The content of chloride ion in concrete powder was tested at different depths.By comparing the experimental data of these three different anticorrosive coatings, we can find that polyurethane coating has the best chloride ion resistance, the next is polyurea coating.Both of them protect the concrete from chloride ion erosion.
Evaluation of Uncertainty in Determining Average Grain Size by ASTM E112 Standard
Authors: Bi Geping , Guan Yong , Chen Xiaoyu , Tan Wenhua , Huang Wenniu , Gao Yuqing , Wang Meimei 
Published: January 2020

Abstract
In this paper, the ASTM grain size number of aluminium alloy specimen was determined respectively by Abrams Three-Circle Procedure and Planimetric Procedure of ASTM E112-13 Standard, and the uncertainty of the result was evaluated. The results are as follows: 1) Using the Abrams Three-Circle Procedure determines G, G=4.13, U=0.26, k=2; Using the Planimetric Procedure determines G, G=3.94, U=0.15, k=2. 2) It is suggested that the ASTM E112 standard should provide that the errors of counting grain boundary intersection count or number of grains should be less than or equal to 2, and the ruler that determines the diameter of test circle or scale length should be with the scale that is less than or equal to 0.10 mm. On this condition, the uncertainties caused by them in determining G can be negligible. 3) The main sources of uncertainty for the determination of G by Abrams Three-Circle Procedure and Planimetric Procedure are repetitive measurement, which depends on the uniformity of grain size of specimen. 4) The %RA limit of ASTM E112 for determining G should be redefined according to the measurement uncertainty in order to be up to the precision requirement (±0.25).
Preparation of silk-like zirconia and investigation of its heat-insulating properties
Authors: Xi Chang , Xu Qinqin , Pang Xu , Wang Tianchi 
Published: January 2020

Abstract
Many life forms possess the aesthetic and unique micromorphologies after long-term evolution and inspire researchers to fabricate different types of microstructures. In this study, silk was utilized as a template to produce silk-like zirconia fibers with excellent heat-insulating properties. We soaked silk in a solution containing Zr4+ and thereafter sintered the dried silk in air at temperatures below 1000 °C to obtain the zirconia fibers. The results showed that these zirconia fibers not only maintained the structures of silk but also exhibited hollowness, which rendered them with lower thermal conductivities and higher heat-insulating properties than conventional zirconia fibers.
SimBSI: An open-source Simulink library for developing closed-loop brain signal interfaces in animals and humans
Authors: Ojeda Alejandro , Buscher Nathalie , Balasubramani Pragathi , Maric Vojislav , Ramanathan Dhakshin , Mishra Jyoti 
Published: January 2020

Abstract

Objective. A promising application of BCI technology is in the development of personalized therapies that can target neural circuits linked to mental or physical disabilities. Typical BCIs, however, offer limited value due to simplistic designs and poor understanding of the conditions being treated. Building BCIs on more solid grounds may require the characterization of the brain dynamics supporting cognition and behavior at multiple scales, from single-cell and local field potential (LFP) recordings in animals to non-invasive electroencephalography (EEG) in humans. Despite recent efforts, a unifying software framework to support closed-loop studies in both animals and humans is still lacking. The objective of this paper is to develop such a unifying neurotechnological software framework. Approach. Here we develop the Simulink for Brain Signal Interfaces library (SimBSI). Simulink is a mature graphical programming environment within MATLAB that has gained traction for processing electrophysiological data. SimBSI adds to this ecosystem: 1) advanced human EEG source imaging, 2) cross-species multimodal data acquisition based on the Lab Streaming Layer library, and 3) a graphical experimental design platform. Main results. We use several examples to demonstrate the capabilities of the library, ranging from simple signal processing, to online EEG source imaging, cognitive task design, and closed-loop neuromodulation. We further demonstrate the simplicity of developing a sophisticated experimental environment for rodents within this environment. Significance. With the SimBSI library we hope to aid BCI practitioners of dissimilar backgrounds in the development of, much needed, single and cross-species closed-loop neuroscientific experiments. These experiments may provide the necessary mechanistic data for BCIs to become effective therapeutic tools.
Chronic Alcohol Consumption Increased Bile Acid Levels in Enterohepatic Circulation and Reduced Efficacy of Irinotecan
Authors: Gong Xia , Zhang Qisong , Ruan Yanjiao , Hu Ming , Liu Zhongqiu , Gong Lingzhi 
Published: January 2020

AbstractAimsTo investigate the effect of ethanol intake on the whole enterohepatic circulation (EHC) of bile acids (BAs) and, more importantly, on pharmacokinetics of irinotecan.MethodsThe present study utilized a mouse model administered by gavage with 0 (control), 240 mg/100 g (30%, v/v) and 390 mg/100 g (50%, v/v) ethanol for 6 weeks, followed by BA profiles in the whole EHC (including liver, gallbladder, intestine and plasma) and colon using ultra-high performance liquid chromatography with tandem mass spectrometry analysis. Pharmacokinetic parameters of irinotecan were measured after administration of irinotecan (i.v. 5 mg/kg) on alcohol-treated mice.ResultsThe results showed that compared with the control group, concentrations of most free-BAs, total amount of the three main forms of BAs (free-BA, taurine-BA and glycine-BA) and total BAs (TBAs) in 50% ethanol intake group were significantly increased, which are mostly attributed to the augmentation of free-BAs and taurine-BAs. Additionally, the TBAs in liver and gallbladder and the BA pool were markedly increased in the 30% ethanol intake group. Importantly, ethanol intake upregulated the expression of BA-related enzymes (Cyp7a1, Cyp27a1, Cyp8b1 and Baat) and transporters (Bsep, Mrp2, P-gp and Asbt) and downregulated the expression of transporter Ntcp and nuclear receptor Fxr in the liver and ileum, respectively. Additionally, 50% ethanol intake caused fairly distinct liver injury. Furthermore, the AUC0–24 h of irinotecan and SN38 were significantly reduced but their clearance was significantly increased in the disrupted EHC of BA by 50% ethanol intake.ConclusionsThe present study demonstrated that ethanol intake altered the expression of BA-related synthetases and transporters. The BA levels, especially the toxic BAs (chenodeoxycholic acid, deoxycholic acid and lithocholic acid), in the whole EHC were significantly increased by ethanol intake, which may provide a potential explanation to illuminate the pathogenesis of alcoholic liver injury. Most importantly, chronic ethanol consumption had a significant impact on the pharmacokinetics (AUC0–24 h and clearance) of irinotecan and SN38; hence colon cancer patients with chronic alcohol consumption treated with irinotecan deserve our close attention.