bluuebunny/crossref_metadata_2025 huggingface dataset:
Beam matching of two linear accelerators, identical model and brand
Authors: Donmoon T , Wattanachaiyasit S , Kaewboonperm U , Meennuch E , Klaitong C
Published: June 2020

The final goal of this work is to interchange ongoing irradiated patients between the two linear accelerators (LINACs), without re-planning if any malfunction of one machine. Having two identical LINACs, only two years apart, it is our opportunity to try using beam matching techniques. First of all, we followed the vender’s criteria, however, these are insufficient to ensure the interchangeability of the patients. The purpose of this work is to describe further and compare measurements and parameters after the initial vendor-recommended beam matching of the two LINACs. After completion of the acceptance test and initial vendor-recommended beam quality test, several parameters were measured to confirm the level of beam matching in both LINACs. The measurement consisted of specific point dose (output factors, head scatter factors, and wedge transmission factors), percentage depth dose, and beam profile. All beam matching parameters from our two LINACs are comparable and acceptable value approximate ±1% or less for both photon and electron beams; therefore, it is possible to interchange accelerators for ongoing irradiated patients without re-planning for dosimetric data as part of the treatment planning system. However, these parameters should be frequently measured/re-checked and compared between LINACs in a part of hospital quality assurance programs. Additional, the safest and most practical way to ensure that two accelerators are within acceptable clinical accuracy is to include treatment planning system (TPS) calculations in the evaluation.
Beam spot position measurement using corotational penumbra modulation and image center shift methods
Authors: Rofikoh  , Rafliansyah A , Sugiyantari  , Soejoko D S
Published: June 2020

Image and treatment quality of radiotherapy are influenced by the position of beam spot, therefore it is important to know the position of the beam spot. Beam spot position measured by the corotational penumbra modulation (CPM) and the image center shift (ICS). The CPM method uses a cylindrical ion chamber that rotate with collimator angle. The position of ion chamber, jaws, central axis are fixed to collimator angle. The signal measured to half blocked field 10x20 cm2 for every 30° collimator angle. The beam spot calculated from signal measurement results. The ICS method uses two radiopaque rings with 8.5 cm diameter. Both of rings are placed at different heights of 64.5 cm and 150 cm SSD. Image acquired by varying both collimator and couch angle for every 30° and the beam spot position calculated by measuring the shift of rings centre. Measurement also performed using ball bearing test. Beam spot shift values from the CAOR using CPM and ICS measurements are closely similar, in the range of 0.05-0.65 mm and 0-0.53 mm respectively. The measurement using CPM and ICS methods can be used for routine quality assurance (QA) to ensure that the beam spot position still in tolerance.
Comparison of Dosimetry Characteristics from Some Bolus Materials for 6 and 10 MV Photons Beam Radiation Therapy
Authors: Sekartaji G , Aisyah S. , Carina C.C.C , Nazara T. , Nainggolan A , Endarko
Published: June 2020

In radiation therapy, bolus material is often used for increased surface dose, compensate for surface irregularities and internal heterogeneities. Bolus has properties equivalent to water and soft tissue. In this study, the mixture of Silicone Rubber (SR) and Bismuth was used for bolus fabrication and then compared to commercial boluses such as Paraffin, Play-Doh, and Paraffin Wax. The study aims to evaluate the comparison of relative electron density (RED), effective mass attenuation coefficient, transmission factor, percentage of surface dose (PSD), and Percentage Depth Dose (PDD) for all boluses. The bolus was made with the size 11 × 11 × 0.5 cm3. Physical density of the synthesized bolus was assessed by computerized tomography (CT) Scanning. The results of the RED analysis for the mixture of Silicone Rubber (SR) and Bismuth, Paraffin, Play-Doh, and Paraffin Wax were 0.954; 0.743; 0.933; and 0.878, respectively. The values of RED for all boluses has a similar to water and soft tissue. These results prove that the bolus is equivalent to soft tissue density such as fat, breast, lungs, and liver. Furthermore, for other dosimetry tests such as transmission factors and attenuation coefficients using Linear Accelerator (LINAC) with photon energy sources 6 and 10 MV. In general, Percentage of surface dose at 6 MV is higher than 10 MV. The highest percentage of the surface dose was achieved by paraffin wax at 6 MV energy by 85%. For effective mass attenuation coefficient result, the highest is the mixture of silicone rubber and bismuth at -0.0030 cm2/g for 6 MV and Play-Doh at -0.0114 cm2/g for 10 MV.
Automated patient position in CT examination using a Kinect camera
Authors: Afrieda Nissa , Anam Choirul , Setia Budi Wahyu , Dougherty Geoff
Published: June 2020

Proper positioning of the patient in the CT examination is important. Patients who are not properly positioned at iso-center can affect the distribution of radiation dose. Every patient is unique, hence matching a center of the patient with the iso-center is not a trivial task. This study has developed a system for automatic patient centering using a Kinect camera located at the right or left side of a patient. A plastic water slab phantom was used for calibrating pixel value and pixel size for various distances. Twenty patients were automatically positioned by the Kinect camera and the results were compared to manually positioning by medical personnel. It was found that the value and size of the pixel depend on the Kinect camera-object distance. The value and size of pixels linearly increase with the increase of distance. The difference between the manual patient positioning by medical personnel and the automatic method by the Kinect camera was 1.80 ± 0.95 cm. The difference for the 6 patients was more than 2 cm, and for the 14 patients was less than 2 cm. Hence, the Kinect camera with automatic software can help in positioning patients automatically and accurately in real-time so that it can reduce time and effort in finding patient centers.
Silicone rubber with lead-acid composite as alternative radiation filter in digital radiography (DR)
Authors: Irdawati Yulia , Sutanto Heri , Anam Choirul , Hidayanto Eko , Zahroh Fatimatuz , Wiratma Jaya Gede , Susanto Bambang
Published: June 2020

Digital Radiography (DR) uses poly-energy x-rays beams, where low-energy x-rays are easily absorbed by the tissues and do not contribute to the image, therefore the low energy x-rays should be removed from the beam. The use of the radiation filter is an effective method for minimizing low-energy. The purpose of the research was to produce an alternative radiation filter for protecting organs and minimizing the dose received by patients while maintaining the quality of the image in DR examination. In this study, the radiation filters were made from Silicone Rubber–Lead Acid (SR-Pb), with the dimension of 17 x 17 x 0.6 cm3. The Pb percentage in the SR-Pb was varied from 0 to 5 wt%. To find out the feasibility of SR-Pb as a radiation filter, the dose reduction was measured using a solid-state detector (the Piranha detector, RTI Electronics, Sweden). For image quality assessment, images of the foot phantom were visually analyzed. The contrast-to-noise ratio (CNR) and signal-to-noise-ratio (SNR) values of the CDR TOR phantom with and without an SR-Pb radiation filter were measured. By the addition of Pb wt%, the foot image is still in the readable range. Analysis from the TOR CDR phantom, provided that there is no significant different between CNR and SNR value with and without SR-Pb radiation filter. The addition of Pb wt% slightly reduced the CNR and increased the SNR. SR-Pb 5 wt% decreased dose down to about 50%. This study has successfully developed the SR-Pb as an alternative radiation filter for the protection in DR examination, especially for indications that do not require an excellent low-contrast image, for example in the bone examination.
Establishment Diagnostic Reference Level for CT-Scan Procedure in Indonesia
Authors: Bagus Gede Putra Pratama Ida , Rusmanto
Published: June 2020

Diagnostic Reference Level (DRL) is an effective tool in an effort to increase optimization. The purpose of this study is to establish Indonesian DRL (IDRL) for CT-Scan modality for adult patients. Data collection was done by collecting data from each hospital through SI-INTAN application. The minimum data that have to be reported was 20 patients per procedure for each hospital. IDRL analysis was carried out if there are at least 20 hospitals participating in the survey for certain procedures. Establishment of IDRL was based on an analysis of 75 percentiles from each hospital DRL, while the hospital DRL was based on the median of patient data. IDRL analysis for CT-Scan was based on CTDIvol and DLP quantity. In addition, an analysis of the scan length of 1-phase procedure was done. The analysis was carried out for some procedures, Head, Chest and Abdopelvis. For CTDIvol, the IDRLs were 65mGy, 14mGy and 17mGy for Head, Chest, and Abdopelvis respectively. For DLP, the IDRLs were 1400 mGy.cm, 759 mGy.cm and 1350 mGy.cm for Head, Chest, and Abdopelvis respectively. Based on scan length analysis, information was obtained that most Head procedures were carried out between 16-25 cm. While the scan length for Chest procedure was 31-50 cm and for Abdopelvis was 41-65 cm. From these results, this study can be used as profile baseline of IDRL for CT-Scan modality in Indonesia. The results indicate that optimization must be done for CT-Scan in Indonesia.
An improvement in automatic MTF measurement in CT images using an edge of the PMMA phantom
Authors: Zabilal Hak Elzami , Anam Choirul , Setia Budi Wahyu , Dougherty Geoff
Published: June 2020

We have developed an improved method of modulation transfer function (MTF) measurement using an edge of the polymethyl methacrylate (PMMA) phantom which is normally positioned for computed tomography dose index (CTDI) measurement. In CTDI measurements, the peripheral holes of the PMMA phantom are set at the 3, 6, 9 and 12 o’clock positions. The upper edge of the phantom image has a hole, which precludes its use in calculating the MTF. To circumvent this, the phantom image was homogenized by replacing all pixel values inside the phantom with the median value of the phantom pixels. Subsequently, we were able to calculate the MTF by measuring the edge spread function (ESF) curve, calculate the line spread function (LSF) curve, and obtain the MTF curve by Fourier transform. The resulting MTF curve using our proposed method was then compared with the tail replacement method which had been proposed previously. Our method is superior to the tail replacement method which results in some inhomogeneity of the ESF curve in the part inside the phantom.
Influence of Various Setup Parameters on Scattered Fraction in Interventional Cardiology
Authors: Ardiatna W. , Pratiwi N. G. , Pawiro S. A. , Wigati K. T. , Soejoko D. S.
Published: June 2020

It is important to examine the positions of the medical staff involved in interventional cardiology in order to minimize their accumulated scattered radiation doses. This study used the design of experiment (DOE) method with three parameters (C-arm gantry tilt, position and height), each at three levels (low, medium and high), on both the left and right sides of the patient, to analyse the interactions between the parameters that influence the scattered fraction in interventional cardiology. In this experiment, a RANDO phantom and an Unfors Xi survey detector were used to measure the rate of the scattered dose exposed to staff without protective shielding in a Cath lab. The parameters that significantly influenced the scattered fraction at a confidence level of 95% (P< 0.05) to the right of the patient were the gantry tilt and the height. To the left of the patient, all parameters significantly influenced the scattered fraction.
Recognizing Intrapulmonary Lymph Node (IPLN) and Lymph Node in Soft Tissue Image from Low Dose Computed Tomography (LDCT) and Standard Dose Computed Tomography (SDCT): Study Using CIRS Phantom
Authors: Saragih Y , Lestariningsih I , Mu’minah I A , Nurlely  , Soejoko D S
Published: June 2020

Low Dose Computed Tomography (LDCT) is well-known for lung screening which administers low dose on the patient. In screening, intrapulmonary lymph node (IPLN) and lymph node in mediastinum (soft tissue) need special attention. In this research, nodule simulations with 36-85 Hounsfield units (HU) were made. IPLN was embedded inside lung simulation medium that was shaped as the module for 002LFC CIRS Thorax Phantom. The same method was also used for lymph node that was embedded in the soft tissue area. Image acquisition was conducted using LDCT and SDCT (Standard Dose Computed Tomography) methods with 100 kV and 120 kV exposure condition. The variations for mAs were 11, 25, 30, and 50 for LDCT and 70, 80, 90, 100 for SDCT. The result showed that IPLN image could be detected using LDCT method at 100 kV. Meanwhile, lymph node in soft tissue was not easily detected using LDCT because the noise in LDCT was relatively higher than in SDCT.
177Lu Effect of Geometry Factors in Radionuclide Calibrator
Authors: Widodo Prasetya , Candra Hermawan , Rahmah Hidayati Nur , Sekar Humani Titis
Published: June 2020

The accuracy of radiopharmaceutical activity which will be administered to the patients is very important in nuclear medicine, especially in the case of therapeutical procedure. Hence, all safety aspects should be considered, including the standardization of the dose calibrator. From the reference, the accuracy of dose calibrator is influenced by various factors, such as the geometrical factors of the syringes or vials. The aim of this work was to investigate the effect of different container such as syringes and vials on the accuracy of dose calibrator. The initial work was done by preparing 5 cc glass ampoule and 1 cc syringes containing 177Lu. Both samples was measured using the Capintec CRC 7-BT dose calibrator. The ampoule and syringe activity was measured at the base of the chamber and 5 cm above the base of the chamber, respectively. The result shows that the correction factor was 2.5 % for the syringe and 1.03 % for the ampoule. The correction factor should be considered when the dose calibrator will be used for measuring the administered to the patient to get more accurate activity measurement and patient safety.
Effectiveness of Post National Dose Survey (NADs1) Towards Dose Compliance Level
Authors: Kayun Z. , Karim M.K.A. , Shaari A.H. , Mahmud R. , Rahmat S.M.S.
Published: June 2020

The increasing number of CT procedures owing to advanced CT technology requires careful monitoring by the personnel involved to ensure appropriate examinations and optimized procedures. For that reason, CT optimization is a crucial factor that could help to compensate for [[[AUTHOR: Could this sentence be clarified with more specific information? For example, you might say that optimization compensates for the poor image quality that can occur with low radiation. Thank you.]]] radiation dose and image quality. In current practice, optimization in CT is a complex procedure due to a wide range of acquisition parameters in imaging protocols. Diagnostic Reference Levels (DRLs) have been defined by the International Commission on Radiation Protection (ICRP) as a form of investigating the level of patient dose for a specified procedure used in medical imaging to indicate whether, in routine conditions, the patient dose is unusually high or low for that procedure. Hence, the Ministry of Health (MOH) has established a national DRL through a dose survey conducted from 2007 to 2009, and the project is called as NADS1. However, the study does not cover the effectiveness of image quality; in contrast, the current research focuses on both dose exposure and image quality to determine the level of effectiveness of the developed NADS1 data. This study involves several levels, including the acquisition of patient exposure data, image quality assessment, and effective dose measurement. Determination of acquisition of patient exposure data is based on the indicator of QAP CT Brain developed by the MOH, i.e., the total number of adult CT brain examinations for which the DLP value shall not exceed 10% of the national DRL values, 1050 mGy.cm. The outcome of this study can be used as a measure to optimize patients’ radiation exposures and can be a guide for implementing improvement measures. The results of this study allow radiology personnel to understand the concepts and mechanisms associated with managing patient radiation exposures. The outcome also provides the level of effectiveness of the developed QAP, which was implemented by the MOH and subsequently became a benchmark for improving the quality of healthcare services. Therefore, it is clear that this study has shown an impact on the level of optimization from the radiation exposure study, the NADS2 that is being implemented.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Biometrics-based cryptography scheme for E-Health systems
Authors: Chen Hanlin , Ding Ding , Su Shuchun , Yin Jingyi
Published: June 2020

Thanks to all-weather, effective and convenient services, E-Health Systems have been widely applied. However, with the increase of network risks and security threats, the privacy of personal medical information must be assured. The biometrics have become an effective and secure means of identification and authentication due to good distinctiveness and exclusiveness. To meet security and privacy requirements of E-Health systems, a biometrics-based cryptography scheme is proposed. First, Biometrics-based Fuzzy Authentication and Key Negotiation (BFAKN) strictly identifies all components and operators in the whole system, and safely negotiate the cryptographic keys. Based on the biometrics of biological signals and the fuzzy vault algorithm, mutual authentications between the sensors and the terminal and between the terminal and the server can be achieved, and the keys for local and public communications are negotiated safely, ensuring the security of all communications. Second, Fingerprint-based Authority Access Mechanism (FAAM) is proposed to fulfil aothority management, realizing secure storage and access of sensitive biomedical information in the system. Experimental results show that local communications within Wireless Body Area Networks (WBAN) and public communications have very high security, and personal medical information can be accessed safely.
Calculation and Analysis of DC Surge Arrester Temperature Field
Authors: Geng Lina , Cui Juyong , Hao Shuang , Li Jing , Liu ShuXin
Published: June 2020

Zinc oxide arresters have been widely used in high-voltage, ultra-high-voltage and ultra-high-voltage power transmission systems due to their excellent non-linear characteristics. However, because there is no gap between the arrester itself, there is a slight leakage current when the zinc oxide arrester is subjected to normal line voltage, which causes the aging of the zinc oxide resistance valve. The degree of aging and the rate of temperature rise are related to the temperature distribution, so it is of great significance to study the temperature field distribution of the DC arrester. This paper takes multi-column zinc oxide arrester as an example. According to the differential equation of heat transfer and the auxiliary equation, the simulation of time-varying temperature field is carried out. The simulation results are helpful to optimize the structure of multi-column parallel arrester and analyze the aging characteristics of valve.
An experimental study of vehicle detection on aerial imagery using deep learning-based detection approaches
Authors: Liao Xuanzhi , Sahran Shahnorbanun , Abdul Shukor Syaimak
Published: June 2020

Deep convolutional neural network technology is widely used to deal with general object detection in computer vision, and it achieved remarkable progress. Unmanned aerial vehicles provide large numbers of aerial imagery that significantly facilitate several applications including traffic monitoring, surveillance, tracking, rescue, and safe military tasks. This paper presents an experimental study to evaluate the performances of several state-of-the-art deep learning-based detection approaches on vehicle detection from aerial imagery. The pre-trained models, including Faster R-CNN, R-FCN, and SSD, are adopted from the TensorFlow model zoo, and the VEDAI dataset is used as the benchmark. The results show that Faster R-CNN combined with Resnet101 backbone achieved the highest mAP, which is 39.73% on the COCO metric. This experimental study expects to be a guideline to choose suitable approaches for particular applications.
Static Calculation and Analysis of Certain Gravity Dam
Authors: Wei Liuchuang , Wei Ping , Yang Yabiao
Published: June 2020

At present, the main work of gravity dam research tends to adopt modern design theory and analysis methods to solve engineering problems. The most commonly used method is finite element method numerical simulation technology. This method discretizes the elastic continuum into a combination of a finite number of elements, and considers the continuous conditions of displacement between the elements. It can comprehensively consider the effects of various influencing factors. It has obtained good application results in the structural analysis of the dam. In this paper, a concrete gravity dam is taken as an engineering example. Based on the force of the dam, ANSYS finite element software is used to perform static analysis on the hydrostatic pressure, lifting pressure, dead weight and other loads.
Recognition of garlic clove orientation based on machine vision
Authors: Li Y H , Tian L , Li T H , Wu Y Q , Niu Z R , Hou J L
Published: June 2020

To address the problem of low garlic clove-head-turning rates in mechanized sowing of garlic, this study proposes an algorithm for identifying garlic clove orientation using machine vision. First, the algorithm performs preprocessing operations such as image enhancement and color space conversion; then, it identifies and labels the garlic clove regions by determining the connected regions. Each garlic clove region is derived for independent analysis, and three garlic clove features of each clove are calculated. Then, based on the distinctiveness of each feature parameter with clove recognition, comprehensive feature parameters are obtained by fusing the information of the three feature parameters. Finally, garlic clove head is identified on the basis of these comprehensive feature parameters. Furthermore, two garlic varieties, ‘Cangshan’ and ‘Jinxiang’ garlic, are tested by capturing images of both single and multiple garlic cloves. The experimental results indicate that the average recognition rate of the algorithm is 97.44%, and the average running time is 0.61 s. The correct recognition rate of ‘Jinxiang’ garlic is 94.51%, while that of ‘Cangshan’ garlic is 100%. In summary, the algorithm has strong adaptability and high accuracy, and it can provide a useful reference for an intelligent garlic clove-head-turning mechanism for garlic planters.