bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study of the Dose Distribution from Ir-192 Source on Inhomogeneous Phantom by Monte Carlo Simulation
Authors: Penta Krisna Fitria , Yani Sitti , Junios  , Atiqah Nurul , Dharul Asmawan Mohammad , Haryanto Freddy 
Published: June 2020

Abstract
Radioactive sources in brachytherapy are placed near or within the target. Therefore, it requires the optimum dose distribution to decrease the dose at the organ risk. The human body is composed of many different densities of tissues. However, in a clinical calculation, the human body is assumed as homogeneous. This study aims to analyze dose distribution from Ir-192 source on the inhomogeneous medium using Monte Carlo simulation. We used DOSXYZnrc program and applied the parameters to generate the dose distributions. The parameters were; (a) a water phantom of volume 20 x 20 x 20 cm3, (b) an inhomogeneous phantom of volume 1 x 1 x 4 cm3, (c) the voxel of volume 0.2 x 0.2 x 0.2 cm3, and (d) the simulation parameters ECUT 0.521 MeV, PCUT 0.01 MeV, and 1x108 the number of particles. Nine of the Ir-192 line sources distributed at certain coordinates. The results were analyzed by the isodose curves. According to isodose curves, we derived the distance from 75% to 100% of relative dose respectively 0.4 cm and 0.6 cm for water phantom and inhomogeneous phantom. The inhomogeneous phantom received less 0.02 Gy dose than the water phantom. The study conclusion is that the presence of an inhomogeneous medium can affects the dose distribution change.
Influence of Microwave Irradiation Time and Cross-Linker Additions on Synthesis of Hydroxyapatite-Alginate (HA-Alginate) Composite
Authors: Nuha Nuha , Nurlely Nurlely , Sari Y W 
Published: June 2020

Abstract
Composite was prepared with hydroxyapatite and commercial alginate by microwave irradiation method. Hydroxyapatite is a calcium phosphate compound which has a similar chemical composition of human bone tissue. In this study, hydroxyapatite-alginate (HA-Alginate) composite with the mass ratio of 80:20 (HA-Alginate) was synthesized using microwave irradiation for 10 min and 15 min. The power source was settled at 360 W. The functional groups of the composites were examined by FTIR (Fourier Transform Infrared Spectroscopy). The crystallite size and phase purity of HA were determined by XRD (X-Ray Diffraction). The FTIR and XRD results confirmed the existence of alginate and HA in the composites. The crystallite size of the HA increased with the increasing microwave irradiation time. This study also investigated the presence of CaCl2 as cross-linker agent at difference concentration (0.01 M; 0.03M; and 0.05M). The results showed the crystallite size of the HA increased by adding cross-linker from 10.806 nm (without cross-linker) to 13.081 nm (with CaCl2 0.05M) and a composite mass increased from 4.84 gram (without cross-linker) to 5.10 gram (with addition 0.05 M CaCl2).
Antimicrobial Photodynamic Effectiveness of Light Emitting Diode (Led) For Inactivation on Staphylococcus aureus Bacteria and Wound Healing in Infectious Wound Mice
Authors: Astuti S D , Ardyana Y , Arifianto D , Winarno  , Puspita P S , Yuwana Y G Y , Pradhana A A S 
Published: June 2020

Abstract
This study aims to determine the effectiveness of the antimicrobial photodynamic therapy (aPDT) LEDs of 392 nm and 628 nm red LEDs for photoinactivation on Staphylococcus aureus in vitro and the photodynamic effectiveness of therapy for wound healing in mice in vivo. The sample used was Staphylococcus aureus bacterial isolate which was infected on mice incision wounds. The LED exposure was carried out at the energy density of 19.44 J/cm2, respectively. In vitro test samples were divided into three groups, namely (P0): control group, (P1): LED treatment group 392 nm, (P2): LED treatment group 628 and (P3): LED combination treatment group 392 and 628 nm. In the in vivo test, the mice of infectious wound models were divided into 5 namely (M+): positive control group, (M-): negative control group, (M1): LED treatment group 392 nm, (M2): LED treatment group 628 and (M3): LED combination treatment group 392 and 628 nm. The results of in vitro studies showed an increase in the photoinactivation effect on LED exposure, with the effectiveness of inactivation on the LED 392 nm at 67.10%. The effect of photoinactivation of bacteria on wounds in vivo due to photodynamic therapy in the red LED exposure group was 88%, blue LED exposure group was 94%, exposure combination group of red and blue LEDs was 95%. So, the antimicrobial photodynamic therapy LEDs are effective for bacterial inactivation and accelerate wound healing in mice.
Photodynamic Inactivation of Streptococcus mutan Bacteri with Photosensitizer Moringa oleifera Activated by Light Emitting Diode (LED)
Authors: Mardianto A I , Setiawatie E M , Lestari W P , Rasheed A , Astuti S D 
Published: June 2020

Abstract
A Photodynamic Inactivation (PDI) research has been done as a method of photodynamic in a medical treatment that combine light with photosensitizer. The light energy absorption by the photosensitizer molecules will produce reactive oxygen species that cause biological damage. Photoinactivation has done by combining blue LED light and exogenous porphyrin photosensitizer Moringa oleifera leaf extract to a major cause of dental caries disease, Streptococcus mutan. The goal of this research is to analize a maximum potential of LED exposure angle to inactivates a Streptococcus mutan bacteria added by 20% concentration of Moringa oleifera leaf extract photosensitizer. The wavelength of blue LED light used is 450.00 ± 0.21 nm in 100% Pulse Width Modulation (PWM). Total Plate Count (TPC) is used as a method to determine the loss of bacteria viability in unit CFU/ml. The stastical test result show an angle that potentially inactivate the bacteria by the exposure of two groups treatment with six variation of angle and an exposure time is 90° angle which has different meaning with another variation (p < a = 0.05), that means the best angle to use is perpendicular which has a percentage result of absorbent media for 180 second duration is (30,301 ± 4,231)% of bacterial death without photosensitizer and increased to (46,742 ± 1,667)% bacterial death with a photosensitizer.
The Effect of pH Variation on Fluor-Hydroxyapatite Nano Crystal Synthesis with Microwave Irradiation Method
Authors: Hafiz  , Nurlely  , Sari Y W 
Published: June 2020

Abstract
Fluoride-substituted hydroxyapatite (FHA) can be used for biomaterial applications because it has biocompatible properties. FHA is formed by replacing flour ion (F−) with hydroxyl ion (OH−) from hydroxyapatite. This work aims to see the influence of changes in the form of acidity (pH) at the FHA synthesis process using microwave irradiation method. FHA nano-powder was synthesized using a titration of calcium hydroxide solution with diammonium hydrogen phosphate and ammonium fluoride, which will vary the level of fluoride at FHA by 0.9 and 1.3. Subsequently, HCl 1 M or NaOH 1 M to give a variation of pH value. X-ray diffraction (XRD), Fourier transform infrared (FTIR), scanning electron microscopy (SEM), and energy-dispersive X-ray (EDX) spectroscopy analysis techniques were utilized to evaluate the characteristic of synthesized FHA nano-powder. The XRD and FTIR results showed that the powder with pH under control conditions had several additional formed phases such as chlorapatite and carbonate. The value of crystallinity had the distinction of each powder in each pH, but only pH control had crystallinity values, such as tooth enamel. Using the Scherrer formula, the average crystallite size was found around 21-80 nm. SEM and EDX characterization results showed the Ca/P ratio formed was 1.34. The results showed that the addition of acid resulted in the formation of a new phase which dominated and revamped some crystal parameters. Therefore, the synthesis in these conditions is not recommended.
Characterization of Individual Alpha Frequency of EEG Signals as an Indicator of Cognitive Fatigue
Authors: Aziezah Fithriyyah , Harke Pratama Sra , Yulianti  , Wahidah Endah , Haryanto Freddy , Suprijadi  
Published: June 2020

Abstract
Cognitive fatigue is a condition caused by monotonous work which involving cognitive function in a long period that influences performance impairment. One of the methods to detect cognitive fatigue is using Individual Alpha Frequency (IAF) of brain waves which was obtained from an electroencephalography (EEG) measurement. This study aimed to calculate IAF values using power spectral density (PSD) as an indicator of cognitive fatigue in the frontal, parietal, and occipital lobes which used a cognitive task as the stimulus. The EEG was measured by using Cadwell Easy^ III with a sampling frequency of 250 Hz and the electrode impedance maintained below 20 k?. Electrodes on F3, F4, F7, F8, Fz, P3, P4, O1, and O2 were investigated in this study. The data acquisition was conducted in 46 minutes: 3 minutes before, 40 minutes during, and 3 minutes after carrying out the arithmetic test as a cognitive task. The arithmetic test was displayed through the visual display terminal (VDT). In the next stage, the preprocessing was conducted to remove noise and artifacts, followed by PSD calculation using the Welch periodogram. Finally, the values of IAF were calculated by using the Center of Gravity (CoG). The results showed that PSD in all session sorted by the largest values are delta, theta, and alpha wave. As for the IAF pre-task values shifted towards larger alpha frequency in the post-task in frontal and parietal region, showed in vigilance with increasing time spent on task, and shifted towards smaller values in occipital region which fatigue begins to occur in this region and has not occured in other region.
Brainwaves Analysis Using Spectral Entropy in Children with Autism Spectrum Disorders (ASD)
Authors: Gani Ernawatil , Handayani Nita , Harke Pratama Sra , Faadhilah Afif Nur , Aziezah Fithriyyah , Christy Keintjem Aveni , Haryanto Freddy , Suprijadi  
Published: June 2020

Abstract
In the beginning of this recent years, the number of children with Autism Spectrum Disorders (ASD) in Indonesia has increased. Previous studies showed that brain activity of children with ASD was found to be prominently different in frontal and temporal lobes. One of the known methods to measure brain activity in both normal and disorder brain condition is the measurement of brainwaves using electroencephalography (EEG). Therefore, this study aimed to analyze the brainwaves of frontal and temporal lobes of children with ASD, using a calculation of spectral entropy. The subjects group on this research were the children with ASD and the normal children as a control group. EEG recordings were conducted while the children from both of the group was resting and eyes closed. As a preprocessing method, data filtering and algorithm normalization were done to get EEG data. Periodogram Welch method, based on Fast Fourier Transform (FFT), was then used to calculate the power spectral entropy (PSE) of alpha and beta frequency bands. The results were show that at 14 second of children with ASD had the PSE peak. The peak that was observed in the The frontal lobe (F8) located in the right hemisphere was higher than the peak shown in the temporal lobe (T8). However, the peak of left hemisphere T7 was higher than F7.On the control object, T8 had a peak with values that was greater than the peak of F8 located in the right hemisphere. Meanwhile, for the left hemisphere, the peak of F7 was greater than T7. Based on these results, it could be concluded that the ASD object and the control object had different frontal and temporal lobe PSE conditions.
Design and hydrodynamic simulation analysis on debris cleaning robot underwater
Authors: Wang Zhuo , Chen Yin , Wang Tao , Zhang Bo 
Published: June 2020

Abstract
In order to clean up the debris in the underwater pipeline or culvert, the structural design and simulation analysis of the underwater dredging robot were carried out. First, the overall structure of the robot was modelled in three dimensions. This robot features a multi-degree-of-freedom moving robotic arm that cleans up any debris in any corner of the culvert under the coordinated operation of the vehicle body. After that, the static analysis of the key parts was carried out, and the dredging robot was hydro dynamically simulated by FULENT software. The drag characteristics of the dredging robot in the culvert environment were calculated by simulation analysis. The results show that the underwater dredging robot meets the requirements for underwater operations in culverts.
Initial training samples selection using clustering algorithm for audio recognition
Authors: Wang Rongyan , Leng Yan 
Published: June 2020

Abstract
The quantity and quality of training samples are one of the most critical factors for the performance of the classifier, whatever traditional classification method or deep learning algorithm. To improve the quality of the training samples with less manual tagging effort, this paper proposed a representative samples selection method based on clustering algorithm to choose more representative samples supplied to human to annotate. These representative ones can describe class distribution better than samples annotated at random. On the one hand, these selected samples can train a more generalized classifier. On the other hand, this samples selection method can save expensive annotation work which is thought a lot by people now. The results of experiments in melodrama Friends corpus show better classification performance compared to traditional annotation methods.
A Watermarking Detection Algorithm Based on Statistical Properties for Vector Geographic Data
Authors: Wang Yingying , Yang Zhong , Xu Nan , Yu Jiming , Yang Chengsong 
Published: June 2020

Abstract
The watermarking detection algorithm for vector geographic data was designed based on the detected watermark bits characteristic. Firstly, the statistical characteristic of extracted watermark bits was analyzed; the probability-distribution function of detected watermark bits corresponding to the certain index was established on the condition that there was no watermark in detected data. And then a watermarking self-detection algorithm is present for vector geographic data. Finally, the experiments were made to verify the robustness and detection efficiency of the proposed algorithm. The experimental results show that we can judge whether there is watermark in detected data or not without the participation of the original data and the original watermark, and the proposed watermarking detection is more efficient than the common watermarking detection. The proposed algorithm has good performance in the aspects of self-detection, robustness and detection efficiency.
A Fourier series method for solving the two-stage vibration isolation system under dual-wave shock input
Authors: Ren Longlong , Zhang Hongmei , Fan Guiju , Li Yang , Song Yuepeng 
Published: June 2020

Abstract
Shock isolation for on-board devices is one of the most important issues for underwater vehicles to resist underwater non-contact explosions (UNDEX). According to German military specification BV043/85, the shock input spectrum can be transformed into a time domain signal represented as a dual-wave, which is composed of a positive and a negative half-sine. Previous researches have pointed out that two-stage vibration isolation system (TSVIS) shows better isolation performance than the single-stage vibration isolation system (SSVIS). However, there is relatively rare research on the shock isolation performance of a TSVIS subjected to a dual-wave shock input. This issue is addressed in this investigation. The Fourier series method is employed to calculate the response in the time domain. This study will shed some light on the design of TSVIS in a dual-wave environment.
A Multi-AGV scheduling planning method based on improved GA
Authors: Zhang Yi , Li Mengsi 
Published: June 2020

Abstract
The path planning of Multi-AGV does not especially consider the power consumption. Therefore, a new Multi-AGV scheduling planning method based on improved GA(Genetic Algorithm) is proposed. The improvement of this algorithm is showed in three aspects: first, in order to ensure that AGVs have the power to perform the task, the operation of power evaluation is added after each iteration is completed; second, the objective function will have two constraints: first, the minimum total power consumption for all AGV; second, the maximum power consumption of a single AGV is minimal; finally, by changing the mutation operator of the GA, the convergence speed and the convergence of the population are improved. The simulation results show that the improved GA scheduling results are more reasonable, and under the same conditions, AGVs power consumption will be smaller.
Structure Design and Mobility Analysis of a Climbing Robot
Authors: Li Xiaohu , Cao Hongxin , Feng Song , Xie Chao 
Published: June 2020

Abstract
RiSE and LEMUR IIB have good climbing ability. Inspired by these two robots, a new climbing robot with simplified motion mode and strong load capacity is proposed. In this paper, the structure of the robot is introduced detailedly. Through the dynamic analysis of its leg and body, the torque of the traction and swing motor under various driving modes are obtained. Static analysis of the robot’s claw is also carried out during the climbing process. Meanwhile, the equivalent tangential force and normal force required for the claw attached to the wall are described. The results indicate that the robot has high mobility and can successfully realize the climbing movement.
Design and simulation analysis on underwater robots like reptiles
Authors: Wang Zhou , Dang Hongxing , Wang Tao , Zhang Bo 
Published: June 2020

Abstract
In order to clean up debris with a certain depth of water and a stepped section, an underwater mobile robot with four legs walking was designed. Used the engineering method to calculate the force of the robot roller cutter, and the step of one motion cycle is calculated by the geometric relationship of the robot travel mechanism. The hydrodynamics simulation was carried out using simulation analysis. The results show that the maximum horizontal displacement of a robot during a motion cycle is 0.45m; the buoyancy water tank is more buoyant than gravity when it is waterless; the local maximum stress and displacement of the drum cutter and the main frame meet the working requirements; the corresponding hydraulic cylinder provides more driving force than the hydraulic cylinder resistance. This four-foot dredging robot can provide reference for the underwater motion of the multi-foot underwater robot and its water resistance analysis.
Harmonic attentive multimodal neural network for movie recommendation
Authors: Wang J X , Guo Y , Qi T M , Tang Q F 
Published: June 2020

Abstract
A multimodal neural network based on harmonic self-attention was proposed for movie recommendation. This method can deal with the multi-source data and learn representations of users and items well. The multimodal neural network mainly consists of three sub-networks, ResNet, Bert, and LSTM. In addition, the harmonic self-attention mechanism can explore the user’s preference from the perspective of time. Experimental results show that compared with other three latest recommendation methods, HSMNN shows better performance in terms of HR and NDCG.
Novel Design of the Wheel-footed obstacle-surmounting Robot
Authors: He Yong , Wang Wenping , Wang Qiang , Wang Yujun 
Published: June 2020

Abstract
In order to improve the mobile robot’s movement efficiency, obstacle surmounting ability and stability in complex environments, a new wheel-footed obstacle surmounting robot is proposed. The robot wheels include semicircle arc and involute arc. Each group of wheels is complementary in phase to ensure that the contact point between the wheel and the ground is always the circumference of the wheel. This not only continues the high efficiency of the round wheel on the flat ground, but also enhances the ability of the wheel to cross obstacles. This paper studies the structure design and motion analysis of the wheel-footed obstacle-surmounting robot, and completes the robot of the physical prototype. At last, the experiment proves that the robot not only has simple structure, high moving efficiency, but also has good obstacle-surmounting ability, passing ability and stability.
Design of Vision Servo Sorting Robot System Based on SVM
Authors: Liu Yixin , Zhong Shihao , Tian Ziqi , He Kexin 
Published: June 2020

Abstract
Aiming at the problems of the traditional industrial waste disposal, such as heavy workload, low efficiency and poor safety, a single visual servo sorting robot based on SVM is designed. These include intelligent identification and classification systems, and wireless communication systems. The robot adopts a rectangular coordinate robot structure. After collecting picture information, the robot interacts with the upper computer. The SVM algorithm is used to identify and classify the waste material to realize autonomous sorting and transportation of waste material. When the system is applied in practice, it can effectively reduce labor input, improve recovery efficiency, and reduce production costs.
Particle swarm optimization algorithm based on beetle antenna search optimization
Authors: Yang Xing , Jiang Meiqi , Hu Xingxing , Zhu Zhongming 
Published: June 2020

Abstract
For the standard particle swarm optimization algorithm, when optimizing multi-dimensional extreme value functions, it is easy to fall into the problem of local optimal solution and poor optimization effect. This paper proposes a particle swarm based on beetle antennae search optimization. This algorithm introduces beetle antenna search algorithm into particle swarm optimization algorithm. Each particle first updates its position according to the particle swarm optimization algorithm, and then takes the updated position as the initial value of the beetle antenna search algorithm. After iteration, a new location is obtained. By comparing the positions before and after the iteration, the optimal value is respectively compared with the individual history optimal value and the global optimal value, and the individual history optimal value and the global optimal value are updated. Joining beetles’ optimization strategy can better jump out of the local optimal value. Through simulation analysis of three different functions, it is concluded that the BASPSO algorithm has better optimization effect and better robustness.
An improved algorithm for timing error detection based on all-digital receiver
Authors: Zhao Yan-li , Lv Jie , Wang Jun 
Published: June 2020

Abstract
In view of the wide application of the Gardner algorithm in timing synchronization loop and its limitation of the band-limited signals, an enhanced Gardner timing error detection algorithm, which has a simple structure and can effectively reduce the deviation of the timing error and system self- noise, is proposed in this paper by comparison of the Gardner algorithm and its correction algorithm in both the pattern jitter and timing errors on the basis of the asynchronous sampling. The simulation results show that E-Gardner algorithm has a significant improvement in the performance of QPSK modulation signal’s clock capture and error detection in the case of a small roll-off factor under the Gaussian with Rayleigh fading channel.
SIMSCRIPT: A Programming Language for Military Simulation
Authors: Fang Xudong 
Published: June 2020

Abstract
SIMSCRIPT is high-level simulation language with a long history and world-wide acceptance, especially in the field of military simulation. The paper first introduces the SIMSCRIPT world-view and its simulation mechanism, which lay the basis for its success, and next points out the language’s prominent advantages from the viewpoint of a military modeler, and also lists its weaknesses which are yet to be improved, and then proposes suggestions to better utilize the capability of the simulation language, and last discusses the development trend of SIMSCRIPT.