bluuebunny/crossref_metadata_2025 huggingface dataset:
A Perceptual Spectrum-Hole Proportional Fairness Scheduling Algorithm Integrated with CR
Authors: Huang Zhongyou , Zhang Yongtang
Published: April 2020

In order to improve the utilization of spectrum resources and solve the problem of unscheduled users in the downlink transmission process in LTE system, we propose a new proportional Fairness scheduling algorithm. The algorithm integrates cognitive radio (CR) technology into proportional Fairness scheduling algorithm, and derives the expression of system throughput under the new algorithm, so that unscheduled users can perceive “spectral-holes” and use the idle spectrum that is not used by the primary user (PU) for data transmission. To achieve maximum resource utilization efficiency. In addition, two secondary user (SU) management schemes for continuing to wait and finding new subcarriers are given, and the delays under the two schemes are calculated. A new decision method is proposed to solve the problem of SU reconstruction. Numerical analysis shows that the new algorithm can ensure the fairness of users, effectively reduce system delay and improve system efficiency.
Upper Bound Estimation of Logarithmic Derivative Norm of Alexandrian Transformation for r-th β-spiral Function
Authors: Duan Min
Published: April 2020

The upper bound of the norm logarithmic derivative of Alexandrian transformation for r-th β-helix function class was estimated based on the principle of dependent function, and the theorem was obtained. The result was the generalization of Schwarz’s derivative and logarithmic derivative in Teichmuller space theory.
Numerical Simulation of Fracture Sequence on Multiple Hydraulic Fracture Propagation in Tight Gas Reservoir
Authors: Zheng Heng , Pu Chunsheng , Sun Chao
Published: April 2020

Hydraulic fracturing with horizontal well is an effective technology for the unconventional resources development, especially for the shale gas, tight gas and oil. Simultaneous fracturing, sequential fracturing and alternating fracturing were the main technologies applied in the horizontal well stimulations. Based on the extended finite element method, the 2D seepage-stress-damage models for simulating fracture propagation of simultaneous fracturing, sequential fracturing and alternating fracturing were proposed to investigate the influence of fracture sequence on fracture propagation and fracture aperture. From the simulations, the sequential fracturing and alternating fracturing can dramatically decrease the limitation on fracture propagation caused by “stress shadow”, the total fracture length increased by 20.6% and 26.1% compared with simultaneous fracturing. The fracture aperture also affected by the fracture sequence. The simulation results demonstrates that the alternating fracturing is an effective method to prevent the fracture width reduction caused by squeezing effect, which can effectively improve the well productivity. These simulations are useful for horizontal wellbore stimulation design to acquire the desired fracture lengths, fracture conductivity and production rates.
An Appearance Inspection Method for Resistance Spot Welding Based on Semantic Segmentation
Authors: Zheng Tianyu , Yang Ye , Zheng Peng , Benz Lukas , Wang Lei
Published: April 2020

Resistance spot welding (RSW) plays an important role in manufacturing. The quality of the welding can be efficiently assessed by its appearance. Image segmentation is an important part of the RSW appearance inspection. However, the classical image segmentation algorithms cannot work very well because of the various RSW appearances. In this study, a novel inspection method is proposed based on semantic segmentation. We choose MobileNetV2 as the backbone for the semantic segmentation. After modification and optimization of the network, our model achieves an accuracy of 89% mean intersection-of-union (mIOU), which is averagely 30% higher than the classical image segmentation algorithms. A classifier further evaluates the quality of the RSW according to some geometric features of the segmented regions, and the classification accuracy is improved by 0.79%. This research is of great importance for the high accuracy quality control of the massive production to reduce the producing cost and improve the efficiency of the RSW pipeline.
Numerical and Experimental Investigation of a Serpentine Inlet Constructed with a Polynomial
Authors: Ge Changjie , Chen Bin , Shang Yinhui , Han Rui
Published: April 2020

The investigation of the serpentine inlet is particularly important due to the high stealth requirements of the next generation unmanned aerial vehicle (UAV). The paper presents a design method of generating a serpentine inlet controlled by a center line which is a polynomial. The serpentine inlet is designed considering the positions of the airborne equipment, the stealth and aerodynamic performances. The study includes numerical simulations based on the Reynolds-averaged Navier-Stokes simulation approach and experiments in wind tunnel. The aerodynamic performances of the serpentine inlet at different inflow Mach numbers, mass flow ratios and angles of attack are obtained. Moreover, the flow structures are studied at several critical conditions and the performance and distortion of the designed serpentine inlet are acceptable without any flow control.
Single Machine Scheduling Problem with Controllable Setup and Job Processing Times and Position-Dependent Workloads
Authors: Luo Chengxin , Zhang Geng
Published: April 2020

This paper concerns with a single-machine scheduling problem in which each job has a setup before being processed, the setup time and the processing time of jobs are controllable by allocating a continuously nonrenewable resource, respectively. This is different from that of [13], in which a job only has a processing time, but without a setup time. We assume that each setup and processing time of jobs has a workload that is both job and position-dependent. In the problem investigated, the total amount of resource for setup and processing times does not exceed an up bound, respectively. The objective is to determine the setup sequence, the job sequence and the resource allocation scheme to minimize makespan. We show that the problem can be solved in polynomial time and present an optimal algorithm.
Analysis on the Influence of Assembly Gap on CFRP Assembly Stress Based on Finite Element Method
Authors: Jiang Qilin , Hou Junming , Fang Xiwu , Wang Hongrui
Published: April 2020

Due to the material properties and forming process of composite laminates, it is difficult to avoid smaller assembly gaps in the assembly process of laminates. In assembly process, liquid gaskets are generally used to compensate the smaller assembly gaps between laminates. Therefore, this paper established the equivalent assembly model of the laminated plate, and used the finite element analysis method to conduct numerical analysis and quantitative research on the mechanical influence of the assembly gap on the laminated plate assembly on the basis of analyzing the typical structure of the wing box. And the results of finite element method are compared with the experiment. This work provides a theoretical support to ensure the assembly quality of composite laminates.
3D-FEA of Implant Thread Depth and Pitch on Interfacial Stresses
Authors: Zhou Yulin , Mao Zhihong , Liu Fan , Wang Ruichao
Published: April 2020

Objective: Using the numerical analysis, the interfacial stresses with various thread depths and pitches implants are evaluated in mandibular bone mass. Methods: Implant parameters considered herein include the thread depths of 0.30, 0.35, 0.40, 0.45, 0.50 and 0.55 mm and the pitches of 0.75, 0.80, 1.0 and 1.25 mm. A simplified bone-implant system is created by Geomagic studio and Solidworks. ANSYS workbench was used to analyze the effects of the stress distribution. Results: The maximum von Mises was exhibited in three position at the implant: the location between implant and abutment, the area between implant and screw and the threaded implant body (connect area between first thread and second thread or second thread and third thread). whereas uneven stress distribution were showed in both cortical bone and trabecular bone under oblique and vertical loading. Conclusions: This study found that the force (magnitude and direction) is the important factor of influence on stress, for biomechanical context, the ratio of the thread depth to the pitch at the implant below 0.55 is more appropriate for controlling the max EQV of implants.
Flight Schedule Strategy of Airport Group
Authors: Lei Li , Zhao Dan , Liu Huaiyuan , Guo Dong
Published: April 2020

Overall consideration of airport group flight schedule optimization can make air traffic flow management more efficient and reasonable. The research features of this paper fully considers the matching of airport, airspace capacity and flow. It took into account the functional positioning of each member airport in the airport group and the airline’s need for “golden hour” during the flight adjustment process and established a seasonal flight time optimization model which targets the minimum flight time adjustment. And taking the Yangtze River Delta Airport Group as an example to carry out a case study.
An Evaluation of Several Pansharpening Methods for Mapping Quasi-circular Vegetation Patches Using GF-2 Imagery
Authors: Liu Qingsheng
Published: April 2020

It is important to identify the quasi-circular vegetation patches (QVPs), which will help understanding the local ecosystem structure, function, evolution, and maintenance, and is beneficial to make a vegetation restoration in the Yellow River Delta, China. The fused imagery with high spectral and spatial resolution are most appropriate data for mapping the QVPs. This study compared the widely used pansharpening approaches such as the modified intensity-hue-saturation, Gram-Schmidt, colour spectral sharpening, and principal component analysis (PC) approach for mapping the QVPs using the tasselled cap brightness and greenness components of one scene of the spring GF-2 imagery with the decision tree classifier. Overall, the PC method produced a slightly good detection result of the QVPs over the other three pansharpening methods. However, the detection accuracy was still low (F measure = 56.8%). It could be improved using multitemporal images and patch splitting techniques in the future.
No-reference Image Quality Assessment Based on Regional Information
Authors: Peng Tong , Dong Jing , Li Qinhang , He Kun
Published: April 2020

Human vision can quickly assess the quality of images because of the identity in a region and the divisibility between different regions. According to human visual characteristics, we propose a method of image quality assessment without reference information. Firstly, the image was segmented into a series of homogenous regions. Secondly, we analyzed statistical characteristics for each region. Lastly, the assessment model was constructed according to the statistical differences among regions. The results experimented on the LIVE database II show that this method is competitive to SSIM and PSNR.
An Improved GANs Model for Steel Plate Defect Detection
Authors: Tang Renjie , Mao Keming
Published: April 2020

Automatic steel plate defect detection is very important for it can monitor the product quality. This paper makes a study on steel plate defect detection based on machine learning. The main difficult is that there is not enough data to make powerful detection models. We propose a Generative Adversarial Networks based method to generate synthetic training image. A novel structure is designed with type related variable incorporated in Generator and a classification branch added to Discriminator. With expanded dataset, two detection algorithm, Faster R-CNN and YOLO are adopted. Various model structures, optimization methods, batch sizes and model execution time are evaluated and the influence of parameters are also analyzed. The experimental results show that the proposed novel data generation method can effectively improve the model performance.
A New Lightweight DenseNet Based on Mix-Structure Convolution
Authors: He Yi
Published: April 2020

In this paper, we propose a new and efficient lightweight DenseNet which optimizes the parameter redundancy and high FLOPs in the DenseNet model. According to the distribution of the weight value, the element of the Lightweight Mix-Structure Convolution (LMSC) is realized in the model, which reduces the calculation and parameter required for model construction, and ensures that the accuracy does not decline significantly. The experimental results show that compared with the DenseNet-40-P model the model only uses 45.5% of the parameters and 54.3% of the FLOPs, and the accuracy is only reduced by less than 0.4%.
Research on the Automatic Detection Method of Pulmonary Nodules Based on Deep Learning
Authors: Yu Jingwen , Zhu Dongbi , Xiao Xinyi
Published: April 2020

Lung cancer has become the highest incidence and mortality of malignant tumors in China and even the world. It is truly the “first killer of cancer”. Pulmonary nodules are the early manifestation of lung cancer. Early detection, early treatment and early diagnosis of pulmonary nodules can greatly reduce the mortality of lung cancer. Due to their different sizes and complex structures, it is difficult for doctors to recognize the specific characteristics of pulmonary nodules. In order to help doctors detect and analyse pulmonary nodules faster and more accurately, based on deep learning, this paper proposed a new method to detect pulmonary nodules by cascades of improved VGG network model and improved Resnet network model. The improved network was evaluated on the LIDC-IDRI database, and the experimental results demonstrate the effectiveness and robustness of the model, which can help doctors accurately and effectively detect pulmonary nodules.
The Simulation Analysis of Factors Affecting Lightning Withstand Level of the Distribution Lines in Oilfield
Authors: Qi Jingjing , Li Jianing , Hou Zengpeng
Published: April 2020

Simulation analysis is an important method to study the lightning withstand level of distribution lines and conduct the design of line lightning protection. In the process of simulation, the components of the overhead line and the selection of the specific model of lightning current should be taken into account. All the work can be used to get the simulation results which are more consistent with the actual results. Based on the investigating the parameters of oil field lines, insulators and earth resistances, a lightning protection simulation model for typical distribution lines in oil field is built by using ATP-EMTP electromagnetic transient analysis program. By simulation analysis, the influence of line insulation level, earth resistance, layout parameters of arrests and lightning conductor on the lightning withstand level are studied. The results provide a scientific basis for the proposing of the comprehensive lightning protection measures of the distribution lines in oil field.
Study on Design Issues of Special Clothing against High Temperature Operation Based on Four Parameter Index Model
Authors: Qi Limei , Zhou Baoping
Published: April 2020

The design issues of special clothing against high temperature operation was studied. In accordance with the relationship of temperature difference between layers, using the relevant knowledge of heat transfer, heat conduction and the law of energy conservation, the heat relation model of each layer per unit area was established, and the temperature distribution of each layer of fabric materials was obtained, and the temperature distribution results of three layers of fabric materials were analyzed and verified. By using MATLAB software, the four parameter exponential model of skin temperature was obtained. The model can also be extend to the study of the optimal selection of insulation materials.
Optimization Models for Interpolating Overlapping Interval Data
Authors: Yang Jing , Han Xuli
Published: April 2020

We consider a general robust spline interpolating computation problem where the intervals representing the ranges in positions of knots after clustering can be overlapped. We discuss and analyze the similarities and differences of different overlapping situations, propose two definitions of overlapping types for the simple overlapping situations: PIO (partial interval overlapping) and WIO (whole interval overlapping). An optimization model called PHOM-S (position-height optimization model with a single overlapping interval) is presented and formulated as a convex semi-infinite optimization problem which is capable of solving the two overlapping types mentioned. Then a brief discussion is given on how to build PHOM-M (position-height optimization model with multiple overlapping intervals) based on PHOM-S for solving general simple overlapping problems with multiple overlapping intervals. Also, simplification of a finite optimization model called PHOM-S-3 using the cubic polynomial spline is given for the applicability of computation. A numerical example is presented to show the feasibility and effectiveness of the proposed robust model PHOM-S-3.
Will Enterprises Choose Low-carbon Production Technology? Evolutionary Game Model Considering Consumers’ Environmental Protection Moral and Market Clearing
Authors: Zheng Jialin , Zhou Ya
Published: April 2020

Considering that manufacturing enterprises have two production strategies, one is traditional production strategy, and the other is low-carbon production strategy. Consumers have environmental protection moral, they are composed of green consumers and non-green consumers. In addition, enterprises are bounded rational. Based on this, we constructed an evolutionary game model of low-carbon production strategy selection, and analyzed the conditions for achieving the evolutionary stable equilibrium (ESS). Furthermore, the co-evolution of the proportion of companies adopting low-carbon strategy and the proportion of green consumers is also analyzed.
Asymptotic Behavior of Discounted Aggregate Claims in a Nonstandard Two-dimensional Risk Model with Dependent Claim Sizes
Authors: Dong Yinghua
Published: April 2020

In this article, we study a nonstandard bivariate renewal risk model with dependent claim sizes, where two kinds of claim sizes constitute a sequence of independent and identically distributed random vectors satisfying a certain dependence structure, two claim-number processes are not necessarily independent. When the marginal distributions of the random vectors belong to the intersection of the class of long-tailed distributions and the class of the dominated variation distributions, we obtain joint tail asymptotic formulas of discounted total claims. The result shows that the dependence between two kinds of claims has an effect on the joint asymptotic tail probability of discounted total claims.
Simulation Decision of Bridge Demolition Schemes Based on Multi-Factor Decision-Making Method
Authors: Zhong Zheng , Zhang Yue , Chen Weidong , Yang Jing , Wang Qiuping , Dai Zhicheng
Published: April 2020

Bridge demolition project involves a variety of factors, belonging to the category of multi-factor decision-making. How to choose a reasonable demolition scheme from a variety of schemes is a problem to be considered. This paper is to use multi-factor decision-making method to optimize and select bridge demolition scheme. Taking the formulation of a certain bridge demolition scheme in China as an example, this paper demonstrates in detail the process of optimization selection and design as well as the result of the bridge demolition scheme. AHP method is used to decompose each factor of bridge demolition to form a hierarchical structure. On this basis, TOPSIS method is used to calculate the proximity between each demolition scheme and the positive ideal solution. Finally, the bridge demolition scheme is selected according to the calculation value.
Design of Microring Resonant Sensor Based on Mach Zehnder Interferometer
Authors: Shi Mingdeng , Han Qinghua
Published: April 2020

Ultra-high sensitivity (high quality factor) and low detection threshold are necessary for measuring a wide range of biosensors. To improve the sensitivity and measurement range of the sensor, This paper proposes a micro-ring model based on Mach-Zehnder. The finite element method is used to simulate the resonant wavelength corresponding to the commonly used refractive index. The device is available in sizes 6*32*85.948 um3. The simulation results show that the transmission is stable at -2dB above the width of the waveguide at 4.8-5.1um. The radius of the microring and the transmittance change into a damped oscillation curve with a period close to 1.6um. The microring resonant sensor can detect the detected object by detecting the drift of the resonant wavelength. The microring resonators is easy to operate, simple in equipment, fast and accurate in measurement, and is suitable for medical, biological, and environmental monitoring.
Research on Product Appearance Detection System Based on Image Sparse Representation
Authors: Chen Xiaoning , Zhao Jian
Published: April 2020

The USB camera is used as the front device of the image acquisition. The host computer is a PC for the detection system. Aiming at low resolution of USB camera, the super-resolution image reconstruction method based on sparse representation is used to overcome the low resolution for the low-cost imaging sensor and improve the image resolution. In order to reduce the influence due to shooting light, angle, etc., visual keywords are used for image matching to improve the robustness of the system. The experiment proves that the system is simple in structure and easy to operate, and the detection accuracy of the system can reach 98.67%.
Clothing Image Detection and Recognition Based on Faster R-CNN
Authors: Ji Shuaifei , Han Runping , Wei Jianfeng , Wang Rui
Published: April 2020

Clothing image detection and recognition algorithm is proposed in this paper, which involves the design of two neural network models based on improved Faster R-CNN [1]. In our work, in order to train neural networks, ModaNet [2] dataset is selected and improvements on it are made, that is, the improper bounding boxes of footwear and boots in ModaNet dataset are modified based on their polygon annotations. Moreover, by making the following improvements on Faster R-CNN, our two neural network models are established, which use VGG16[3] and the first 40 layers of ResNet50 [4] as feature extration network, respectively. When using ResNet50 for feature extraction, the last 10 layers of ResNet50 are selected as part of the final classification and regression network. In addition, the softmax activation function in RPN is replaced with sigmoid. Through experimental comparison, it is found that both of these two models can well accomplish the task.
Multiple Microphone Speaker Recognition System for Second Language Based on Biomimetic Pattern Recognition with Big Data Fusion
Authors: Xian Guangming
Published: April 2020

The speaker recognition problem for second language based on biomimetic pattern recognition with big data fusion by multiple microphone has been addressed in this paper. Biomimetic pattern recognition is a new machine learning algorithm which can be used to study the geometric characteristics of a large number of sample points in high-dimensional space. Machine learning is an important way for computer to realize intelligence. The development of artificial intelligence can not be separated from the support of machine learning. Big data Unifield architecture of Hadoop system integrates machine learning and big data processing. Several speaker feature extraction methods of big data are described. Cepstrum and Δcepstrum can offer a significant computational advantage in the eigenvalue problem in result of enhancing correct rate. The big data fusion framework of neural network multiple microphone verification system is presented; in particular, a neural network constructed by multiple value neural network algorithm of big data fusion is also proposed for adjusting the parameters. The experimental results of big data fusion using multiple microphone speaker recognition system for second language illustrate the effectiveness of the proposed biomimetic pattern recognition method.
An Improved Deep Neural Network Model Based on Searching Space Limitation for Object Localization
Authors: Wu Renchao
Published: April 2020

Image object localization is the primary research direction in computer vision. A lots of algorithms had been proposed based on the ResNet structure and good results have been obtained on mainstream datasets. However, these methods still have the problem of too large ROI search space on weakly supervised data. This paper proposes a method that further limits the search space by directly extracting the high-level parameters of ResNet. The better search results and search efficiency are achieved and the candidate ROI search space is better reduced. The space information of the original images can be retained and training/testing time can be saved. The experimental results on the benchmark datasets show that this network structure has good object localization accuracy under weakly supervised data and the search efficiency is improved compared to other methods.
Optimized Faster-RCNN in Real-time Facial Expression Classification
Authors: Bao Jiadi , Wei Shusong , Lv Jingfan , Zhang Wenli
Published: April 2020

In order to make convolutional neural network adapt to the mobile terminals which lack of hardware resources in facial expressions recognition. We modified the recent algorithm of real-time CNNs on facial expression. Firstly, we used Gaussian distribution to reduce the irrelevant data. Secondly, we used random forest to reduce the time complexity. We implemented the model and algorithm on raspberry pi. As a result, we reduce the amout of data by about 40% and the time complexity to logarithmic level. Thus, our system can run smoothly on mobile terminals with lack of hardware resources. We validate the accuracy of our system on raspberry pi which has the ability to detect faces and classify the emotion. The accuracy in facial expressions recognition remain stable as the original algorithm. In all, compared with the traditional algorithm, our optimize algorithm improve the number of frames remarkably without reducing the accuracy.
Route Planning of Intelligent Aircraft under Multiple Constraints
Authors: Liu Jinling , Wang Yue , Hong Lijun , Hong Xiaochun
Published: April 2020

In the study of multi-constraint route planning, the commonly used methods include genetic algorithm (GA), particle swarm optimization (PSO) etc. However, these algorithms are often too complex in practical applications and often get local optimal solutions when the number of calculations is too small. In this paper, we proposed the tangential progressive correction (TPC) model to solve the problem of route planning, it’s a kind of guided model with the characteristics of simple realization, good results and high calculation speed for planning aircraft route problem. At the end of the paper, we provided the simulation for relevant data.
Type-II Fuzzy Neural Networks for Image Stabilization of the Airborne Camera
Authors: Zhang Yingbo , Sheng Ziheng , Li Di
Published: April 2020

The vibration rule of the airborne camera was studied to solve the image vibration in aerial photography of the Micro Aircraft Vehicle. A method based on the ability of function approximation of type 2 fuzzy neural networks with self-organizing recurrent intervals (SRIT2FNN) to simulate the vibration rule of airborne camera in the MAV and predict the vibration displacement vectors during image stabilization was proposed. The SRIT2FNN has no initial rules, which are generated from the simultaneous on-line parameter and structure learning. The results show that SRIT2FNN control system is more stable and the higher precision, and good real-time performance than combined BP neural networks.
Multi - mechanism Coalescence Design and Matrix Expression of Logic Action Sequences of the Over-turn Nursing Robot Part I: Functions and Coalescence Design
Authors: Gu Lizhi , Gao Shanping , Gu Chunyang , Huang Yuantang , Xu Feiyue , Zhong Xiang , Chen Kai , Song Jinling
Published: April 2020

In order to effectively solve the problem in over-turn of a bedridden person with the assistance of external force, a double bed face- three embedded leave over-turn nursing robot with the flexible compensation was put forward, with the abstraction of the bedridden person as an organism. This robot, on the basis of concept gesture of the person in bed and the state of the robot supporting and proving the gesture with the actions and combination of the two bed faces, held the complete function of over-turn nursing with 7 states corresponding to 5 gestures of the bedridden person obeying the fundamental requirements of safety, rapidity, and comport. The design method of “PS-MM-KD” was proposed for multi-mechanism coalescent system with related specific tasks induced from the original problems with Systems Engineering. Mechanics and Mechanisms, then applied in the concrete sub-system design followed by analysis and verification of both the scheme and the sub-systems in the design, using the Kinematics and Dynamics, implementing the gears, chain wheel, slewing mechanism, screw nut and mortise and tenon joint type clutch mechanism design successfully. Based on those above, a “two-bed face/three-leaf embedded flexible compensation nursing robot” was designed adopting to all ages, people of various kinds of body geometry. PLC, sensor and logic algorithm were used to carry out the control and operation of 7 state-5 posture sequences for realization of the automation and intelligent over-turning in safety, comfort, and convenience.
Dynamic Modelling and Motion Controller Design for Industrial Palletizing Robot and Collision Detection
Authors: Gu Kai , Cao Qixin , Wang Pengfei
Published: April 2020

The 4-DOF parallelogram industrial palletizing robot is taken as the object of study. This paper designs and develops the real-time industrial controller based on the IPC and high-way EtherCAT fieldbus. What’s more, the control algorithm and structure based on the dynamic feedforward contributes to the compensation of robot dynamics in theory. Experiments on the task switching and master delay show that this control system has a good real time response quality. Based on the kinematics analysis of robot parallelogram structure, this paper builds the robot dynamic model. To increase the computing speed and ensure the real-time performance, the model has been simplied and proved to be effective by simulation contrast verification.
Robotic Polishing of the Meat Grinder Blade under Path Planning and Controlled Force
Authors: Liang Xinrui , Mohsin Imran , Xu Yaohui , Yan Chaoyu , He Kai
Published: April 2020

In recent years, industrial robots have been widely used in many applications such as assembling, stacking, welding, spraying and others. Whereas, the surface grinding and polishing are the applications which are still required a lot of improvement especially for the curved and free form surfaces. Most commonly used articulated robots are suitable candidates for such surfaces because its end effector can provide orientations required for polishing of the free from surfaces. Besides the reachability, tool path planning and the contact force between polishing tool and surface are other two important factors which required proper consideration. This paper presents the robotic polishing of the meat grinder blade under suitable path planning and controlled force. Computer-Aided Manufacturing (CAM) software Mastercam is used to achieve the trajectory path of the robot during the polishing process. Experiments are conducted to prove the adopted methodology.
Switched Motion Cueing Algorithm for Flight Simulator Upset Prevention and Recovery Training
Authors: Wu Dongsu , Li Peng , Zhang Zesheng
Published: April 2020

Upset prevention and recovery training (UPRT) has been mandatorily required in the Level-D flight simulator by some civil aviation authority currently. Due to the limit motion capability of six-DOF motion platform, motion perception of pilot can’t be effectively satisfied with traditional classical motion cueing algorithm (MCA) during this kind of upset scenario training. In this paper, a switched MCA which optimized by GA was proposed. The switching mechanism ensured that MCA output optimal motion simulation signal to motion platform in different upset training phases. The motion command outputs, which may have sudden change during the transit of adjacent flight phases, were smoothed by a sigmoid function window. Simulation results showed that the proposed switched motion cueing algorithm had better motion replication performance and also made better usage for the motion platform’s workspace than the classical MCA.
Research on Hunting Instability Monitoring System of High Speed Freight Bogie
Authors: An Wei , Wu Rongkun , Shi Junjie , Gan Feng , Qi Yayun
Published: April 2020

High speed freight trains have become a new trend in international train operation, and many countries have studied the high speed freight trains. Therefore, it is necessary to carry out relevant safety monitoring research on high speed freight trains. According to the existing acceleration alarm devices for high speed trains and normal speed trains, and combined with the reality condition of high speed freight train, an empty train hunting alarm device is proposed. Through the simulation analysis of the hunting wavelength and acceleration of freight car, it is proposed that the wave filtering frequency should be controlled at 0-15Hz, and the recommended value of lateral alarm limit of frame lateral acceleration is 0.6g. Finally, the suggestion of axle box acceleration installation is put forward, which is installed in the middle position above the axle box to evaluate the wheel rail state. It can mainly evaluate the common wheel rail damage such as wheel polygon, wheel flat and corrugation of rail.
Lean Manufacturing Production Management Model using the Johnson Method Approach to Reduce Delivery Delays for Printing Production Lines in the Digital Graphic Design Industry
Authors: Gomero-Campos A , Mejia-Huayhua R , Leon-Chavarri C , Raymundo-Ibañez C , Dominguez F
Published: April 2020

Several factors compel graphic design companies to improve efficiency and competitiveness in their production lines. However, these companies are not prepared to take on this challenge, as they report delays in 20% of their deliveries, caused by high setup times, low machine availability, and poor work scheduling. In this context, this study proposes a new production management model fed by the interaction of lean manufacturing tools and the Johnson scheduling method. This model has been validated by direct application at the SISSA. The results obtained were the reduction of the setup time to 15 minutes, increased machine availability up to 24%, and an efficient scheduling of its tasks. All of these reduced the percentage of delivery delays from 20% to 6%.
TPM Maintenance Management Model Focused on Reliability that Enables the Increase of the Availability of Heavy Equipment in the Construction Sector
Authors: Palomino-Valles A , Tokumori-Wong M , Castro-Rangel P , Raymundo-Ibañez C , Dominguez F
Published: April 2020

The purpose of this paper is to present a maintenance study focused on total productive maintenance (TPM) and reliability-centered maintenance (RCM). Its approach is based on the first pillars of TPM, preventive and autonomous maintenance, as well as the FMEA analysis of RCM for maintenance analysis, which was conducted in this study. The implementation of TPM was successful in that various preventive maintenance (PM) policies assigned to the assets were implemented and it was demonstrated that TPM application in the construction industry could reduce the excessive accumulation of maintenance with the same effective optimization, and with support from RCM analysis and its heavy equipment systems analysis. Excessive corrective maintenance accounts for high investment and delay rates in work times of the assigned project. Traditional methods of availability guarantee, such as reactive or routine maintenance, are insufficient to satisfy a heavy equipment maintenance plan; therefore, what is called for is the systematic application of RCM and TMP because they allow the selection and application of effective PM tasks. An approach that develops and thoroughly analyzes the strategies of continuous corrective and PM is used with an atmosphere of uncertainty and with operational data limited by criticism. Results show a 90% improvement in availability.
Theoretical Study of the Absorption Refrigeration Cycle Using Water-Lithium Bromide as Working Pair for Cold Storage Application
Authors: Sofyan Sarwo Edhy , Farhan Muhammad , Khairil  , Jalaluddin  , Akram
Published: April 2020

This study aims to investigate the performance of a cooling absorption of the water-lithium bromide cycle for a cold storage application which has a capacity of five tonnes of fish. The cooling absorption system utilizes the waste heat of a 6 MW steam power plant as the heat source for the generator. The thermodynamics analysis is carried out to determine both the heat rejection rate of the power plant and the performance of the refrigeration absorption cycle. The performance of the cooling system is investigated by varying the temperature of each component of the refrigeration absorption cycle (i.e generator, absorber, condenser, and evaporator). Also, the influence of temperature on the heat input (to the generator), heat output (from the absorber), and the pump power, is examined. The results show that the Coefficient of Performance (COP) of the refrigeration absorption system increases when the temperature of the absorber, condenser, and evaporator rises. On the contrary, increasing the temperature of the generator leads to the reduction of the COP of the system. It is also found that the pump power increases when the temperature of the absorber rises, while on the contrary decreases when the generator temperature increases. The results also reveal that the amount of heat input into the generator is directly proportional to the temperature of the generator. While the heat output of the absorber decreases when the temperature of the absorber increases.
Production Management Model Based on Lean Manufacturing and Change Management Aimed at Reducing Order Fulfillment Times in Micro and Small Wooden Furniture Companies in Peru
Authors: Castro-Chara R , Valenzuela-Leandro R , Chavez-Soriano P , Raymundo-Ibañez C , Dominguez F
Published: April 2020

This research study seeks to identify and prioritize the causes of order fulfillment delays in a small wooden furniture manufacturing company. The authors propose a 5-phase Lean Optimization model to address and reduce this problem. Post-implementation results yielded a 54.87% reduction in material search and transportation times, a 32.86% reduction in travel times between stations, and a 19.81% increase in line efficiency. In addition, order fulfillment percentages increased from 12.5% to 60%.
Lean production management model under the change management approach to reduce order fulfillment times for Peruvian textile SMEs
Authors: Durand-Sotelo L , Monzon-Moreno M , Chavez-Soriano P , Raymundo-Ibañez C , Dominguez F
Published: April 2020

Currently, small- and medium-sized enterprises face order fulfillment issues, thus generating reduced service levels. In addition, these companies are usually not aware of the importance of continuous improvement tools or of training staff as a mitigation strategy for this situation. Within this framework, the authors performed a literature review to compile production models through which downtimes could be reduced. The production model designed therefrom comprises Lean Manufacturing and work study tools within a Change Management approach. This design focuses on model implementation by small companies without requiring large investment, cutting-edge technology, or qualified personnel. Finally, an application case study was conducted in a small textile manufacturing company located at the Gamarra Fashion Center in Lima, Peru. The results that were reported revealed that late order fulfillment instances reduced by up to 18%, which had an impact on downtimes, unnecessary movements, and in-process inventory levels, thus increasing productivity by 85%.
Investigation into time evolution of chlorine emission in pulsed CO2 laser induced breakdown spectroscopy (LIBS)
Authors: Sari A M , Lahna K , Ramli M , Kurihara K , Idris N
Published: April 2020

Detection of chlorine (Cl) using LIBS technique is greatly influenced by experimental conditions including the delay time of the detecting device. Time evolution of Cl emission in plasma produced on polyvinyl chloride (PVC) sample using CO2 laser with variation of delay time has been carried out. The plasma was produced at atmospheric pressure under different environment of helium and air, respectively. It was found that when using the pulse energy of 750 mJ under helium surrounding, strong emission line of Cl at 479.45 nm can be observed until 4 μs of delay time, while when using laser energy 2500 mJ strong Cl emission line can be observed until 7 μs. The higher signal to background ratio was observed at delay time of 1 μs. However, Cl emission line cannot be detected under air environment.
Spatial analysis for calculating closest distance of operators’ location to Base Transceiver Station (BTS) in Banda Aceh city
Authors: Nizamuddin  , Afidh R P F , Ardiansyah  , Sofyan H , Anisah N
Published: April 2020

Base Transceiver Station (BTS) is used to generate auxiliary signal for cellular uses. BTS will support all the activities regarding data exchange such as messaging and web browsing. The spatial data plays important role to support BTS’s signal coverage area. The spatial data also can be used for designing of new cellular networks and construction new BTS. This research purpose is to help operator manager find the distance of BTS distribution that will be used to make group of BTS position for the operators. In this research Geographic Information Systems (GIS) has been utilized to analyse the nearest distance and to create group of BTS. Spatial network analyst uses network data path to find out the nearest distance from operators’ location to all of BTS in Banda Aceh by using tools closest facility, and to analyse the operators’ location grouping based on the mean value BTS distance by using buffer method. The result of this research has calculated the average distance from the operators’ location to all BTS is 6.2 Kilometres. Based on the average distance the first team will manage 7 BTS and the second team will manage 14 BTS.
A Genetic Algorithm to Determine Research Consultation Schedules in Campus Environment
Authors: Idroes R , Maulana A , Noviandy T R , Suhendra R , Sasmita N R , Lala A , Irvanizam
Published: April 2020

Scheduling algorithm is one of computation problem with high complexity. One of the problems is a difficulty to determine an optimal scheduling alternative that is adjusted with the constraints needed. This study aims to test whether the Genetic Algorithm (GA) program that was built was successful for maximizing the value of fitness. The data used in this study is data simulation from the GA Program. Based on the result of this study, we can concluded that the GA program can be used for scheduling because it has good accuracy. This can be seen from the fitness value of 1 and there is no clash between one schedule and another schedule and there are no restrictions that are violated.
Safety factors and stability analysis of escape hill critical high towards tsunami free-board and run-up level
Authors: Munirwansyah  , Irsyam M , Munirwan R P , Yunita H , Munirwan H
Published: April 2020

Earthquake threats that had caused tsunami hazards with a lack of optimal efforts in the construction of evacuation sites, it is necessary to conduct studies on evacuation sites as escape hill. One method of overcoming building construction on the effect of freeboard and run-up level of vertical walls in one of tsunami evacuation models that need to be analyzed for the maximum height that is suitable against the lateral force of tsunami wave. This study’s purpose is to calculate the stability of slope and embankment high on escape hill and calculate the safety factor of soil bearing capacity. The data obtained from the undisturbed sample are then taken to the laboratory for physical and mechanical properties analysis and slope failure of escape hill calculated using the finite element method. This study of maximum embankment height the escape hill for evacuation site, stability obtained at an altitude of 10.0 m and safety factors are 2.14 to 2.84 which is very safe. From the material set design that has been done, it is shown that the modeling of materials set with variations of soil cohesion value (c) and the value of the shear angle in the soil (φ) the safety factor of 2.412.
Modeling of groundwater level fluctuation in the tropical peatland area of Riau, Indonesia
Authors: Pratama H , Sutikno S , Yusa M
Published: April 2020

The groundwater level (GWL) is a key parameter for assessing the level of fire risk in the peatland so that if the predicted fluctuations of GWL in the next few days or weeks can be predicted; the risk of peat fire can also be estimated. The purpose of this study is to develop a hydrological model using regression analysis that can be used to predict GWL in the peatland. The data used for modeling were historically recorded of rainfall and GWL fluctuations from SESAME equipment in Dompas village, Riau, Indonesia. Regression analysis was carried out using four data length scenarios, such as one-month, two-months, three-months, and six-months to find out which time period could represent hydrological conditions in the field. The results showed that the regression analysis using three-months and six-months data represented the best results of the GWL prediction with a correlation coefficient of 0.95. However, the prediction using one-month and two-months data represented reasonable prediction results with a correlation coefficient of 0.86 and 0.89 respectively. Judging from observed and predicted GWL that was always in the lower position than 0.4 m depth, this area was always in the high risk of peat fire throughout the year.
Response structure analysis of prestressed box girder concrete bridge due to earthquake loads
Authors: Miranda M , Suryanita R , Yuniarto E
Published: April 2020

The damage of the bridge structure that occurs in Indonesia is almost close to the number of bridge construction. The damage condition is also related to the influence of Indonesia on active tectonics and volcanic pathways which cause damage to the bridge structures. The analysis of the structural response of the prestressed box girder concrete bridge aims to identify the value of the displacement structure on the bridge pier against the earthquake load. Meanwhile, the structure responses numerical analysis of the prestressed box girder concrete bridge using MIDAS CIVIL software. The analysis of structure response prestressed box girder concrete-bridge structure is carried out with three soil conditions, that is hard soil, medium soil, and soft soil. The results of the study, the displacement value on the pier bridge on X direction for hard soil conditions is 1.26 cm, medium soil is 1.53 cm, and soft soil is 2.02 cm. Thus, it can be concluded that the value of the bridge displacement due to the planned earthquake load on hard soil conditions is 21.4% smaller than that in the medium-soil condition and 60.32% smaller than the soft soil.