bluuebunny/crossref_metadata_2025_split huggingface dataset:
Image Denoising Algorithm Based on Local Adaptive Nonlinear Response Diffusion
Authors: Xing Yuanxiu , Yu Jiwu , Zhang Fan , Gong Yicheng 
Published: April 2020

Abstract
We describe an image denoising algorithm to improve the denoising performance and the time efficiency, while keeping the edge texture of the image from being blurred. First, the algorithm discriminates the pixel whether is an edge pixel or a noise pixel according to the similarity region values of the neighborhoods, and calculates the adaptive diffusion coefficients to construct an adaptive influence function, which can control the noise and the edges to have different diffusion speeds. Then, a 5-layer feedback convolution network with 16 small filters in each layer generates the reconstructed image through convolution, diffusion and deconvolution. Last, the algorithm uses multiple noise levels training sets to train and optimize the network parameters, and generates the finial image denoising model. The experimental results show that the proposed algorithm using adaptive diffusion coefficients can maintain the edges and the smaller filter can improve the time efficiency. The algorithm also has higher denoising accuracy for images with unknown noise level by training on multiple-noise-level training sets.
Modeling and Characteristic Analysis of Manufacturing Enterprise Collaboration Network for Complex Product
Authors: Jia Yan , Li Jinhang 
Published: April 2020

Abstract
In order to meet the requirements of customers for complex products quickly, manufacturing enterprises begin to collaboration with other enterprises, and in the cooperation, the service relationships between enterprises by providing products to others shape the manufacturing enterprise collaboration network (MECN). With the increase of MECN scale and cooperation closeness among enterprises, it is necessary to analyze the performance of MECN to ensure the stability of cooperation. In this paper, MECN is modeled by partner selection of multiple enterprises using entropy and TOPSIS method, and based on the model, the topology characteristics and vulnerability of MECN are analyzed by using of complex network theory. A case study of automobile engine cooperation manufacturing network is provided to illustrate our work, and the results show that the MECN of automobile engine exhibits the small-world property; and by analysis the vulnerability of the network, the critical enterprise nodes can be identified for failure prevention.
Research on Visual Information Analysis Method of Moving Objects in Video
Authors: Chen Longwei , Zhang Yun , He Qing , Sun Yang 
Published: April 2020

Abstract
For analyzing the size and distance of objects in video, we build a physical distance measurement model based on the geometric transformation of pixel and space points by different shooting environments and shooting methods, and realize the measurement of the size and distance of the physical object in the picture and the distance between the shooting point and the physical object in the picture.
A New One-selector One-resistor Verilog-A model for Circuit Simulsation
Authors: Dai Yuehua , Qi Min , Tao Fei , Lu Wenjun , Yang Fei 
Published: April 2020

Abstract
In this paper, a compact model of one-threshold switching selector (1S) one-bipolar resistive random-access memory (1R) is developed for 3D memory circuit simulation. Firstly, the mathematical formulas are presented to describe the two different states before and after the threshold switching for S. The formulas are expressed in Verilog-A to develop a S compact model. Secondly, the parameters (Vth1, Vth2, Vop, α, β, Rs) in the S model are adjusted to match with R. Especially, Vth1 and Vth2 can be adjusted according to the set and the reset voltages of R. Lastly, simulations are conducted in 7T1R circuit and cross-point array performance of the new 1S1R Verilog-A model is analyzed to validate the model performance.
Research on Application Modeling and Visualization Based on Aviation Information Exchange Model
Authors: Lai Xin , Hu Jingyu 
Published: April 2020

Abstract
The Aviation Information Exchange Model (AIXM) is a data exchange standard proposed by the International Civil Aviation Organization for the digital modeling and application of various aviation elements in aeronautical information services. It is the global expression, storage and interaction of aviation information standards basis. AIXM defines various aviation entity elements covering the whole process of flight. Airspace, airport, flight procedures and other entities can implement spatial simulation using computer visualization technology based on AIXM modeling structured data. The simulation display can help flight operators, control personnel and other aviation operators to establish a better situational awareness and improve flight safety. This paper analyzes the technical points of the aeronautical information exchange model, and uses the abstract extended attributes in the AIXM structure to realize the modeling of the airport obstacle limit surface, and further realizes the visual simulation of the constructed airport obstacle limit surface AIXM model by using MATLAB.
Persistence of a Lotka-volterra Ratio-dependent Predator-prey Model with Delays and Feedback Controls
Authors: Jia Lili , Wang Changyou 
Published: April 2020

Abstract
The aim of this article is to study the dynamical behavior of a Lotka-volterra 3-species ratio-dependent predator-prey system with delays and feedback controls. By using the comparison theorem, the differential inequalities and developing new analysis method, some sufficient conditions are obtained to ensure the permanence of the solutions for the delayed predator-prey system, and some known results are generalized.
Simulation of Electric Field Distribution in Cable Joint under the Influence of Metal Particle
Authors: Wu Zheng , Wu Mingyan , Zhang Ruxin , Liao Lei , Du Gang , Huang Xueyou , Jin Wenpei , Zhang Ji’an , Li Haiming , Lu Binxian 
Published: April 2020

Abstract
The middle joint of 10kV cable is a kind of cable accessory that needs to be installed outdoors. Poor conditions may cause defects in the joints during installation. Due to the small size of some defects, it is impossible to obtain accurate results when simulating them with all simulation domain together. In this paper, an accurate model is established to accurately calculate the distribution of electric field around particles in the whole model, and the error in the central region of the model is less than 6.5%. When there are metal particles on the main insulation surface of the cable, this accurate model is applied for analysis, and the maximum electric field intensity around the metal particles is calculated to be 7kV/mm, which is 3.8 times larger than normal.
Automatic Melting-casting-palletizing Production System for Miniature Batch/Mass Metal Based on Robot Technology
Authors: Gao Shanping , Song Jinling , Gu Lizhi 
Published: April 2020

Abstract
In metal recycling and smelting, especially precious metal recycling and smelting, a novel production system is put forward for the automatic and intelligent control of the melting-casting-palletizing processes based on the systems engineering principle with multi-robots. The system is optimally designed and consists of five fundamental function modules, the melting-casting robot sub-system, over-turning robot subsystem, palletizing robot subsystem, vibration-demolding table, and the ring-like rotating table. By using the modern cybernetics and intelligent control method in the whole machine control system with machine vision, location and gravity sensors and the corresponding algorithm, into to the PLC control system, achievement of energy saving and environmentally friendly small batch/mass metal recycling and ingot-making is gained with automation and intelligence.
Control System for Wheeled Humanoid Following Robot
Authors: Ding Baiyong , Ji Shuaifei , Han Runping , Chen Lihong 
Published: April 2020

Abstract
Aiming at application and development prospects of following robot, a control system for humanoid 18-DOF robot supported by four wheels is designed. The system adopts the double-controller structure composed of master controller Raspberry Pi and slave controller STM32 for servo control of robot based on multi-sensor information fusion. In this control system, USB camera and two-axis pan-tilt are used for capturing images with wide viewing angles. Multi-scale template matching and Median-Flow algorithm are used for target recognition. Kalman Filter is used to fuse acceleration and angular velocity given by attitude sensor to obtain the reliable upright angle. PID algorithms are applied to the control system to realize robot’s upright angle control, speed control and turning angle control. Robot’s action adjustment is achieved by controlling its joint steering gears. The experimental results show that this low-cost wheeled humanoid robot has good self-balancing stability, anti-interference and following stability.
Design of High-Power Dual-Redundancy Electro-Mechanical Actuator for Scout and Strike UAV
Authors: Yang Tao , Wang Shuaibing , Yang Jinpeng 
Published: April 2020

Abstract
As the technology advance of UAV (Unmanned Aerial Vehicle), the large UAV is a prevalent trend, which is widely used for scout and strike in modern military battlefield. The flight safety is rather important because of the cost increase of UAV with various airborne devices equipped. EMA (Electromechanical Actuator) is one of the key components in UAV system. Whether its performance is reliable or not determines the flight safety. In this paper, in order to design high-power EMA for scout and strike UAV with fast response and high stability to ensure UAV safety, dual-redundancy technology is adopted. There are two communication interfaces between the actuator and the flight mission computer. The control circuit and the drive circuit are in the form of dual redundancy, while there are two sets of windings in the motor. The controller and actuator design are introduced in details one by one. Also, the paper presents the dual-redundancy design scheme. Several ground tests simulating the real flight conditions are conducted, proving that the EMA design is feasible and its performance is satisfactory. The UAV flight tests are needed later in the future to verify EMA performance in practice.
Research on Traceability of Cold Chain Logistics Based on RFID and EPC
Authors: Hu Lishuan , Xiang Caihong , Qi Chengming 
Published: April 2020

Abstract
In recent years, people placed great emphasis on food quality and safety. About half million people die of food hygiene problems every year in the world. How to effectively trace the source of various kinds of food with various origins has become the core issue of food safety research. Based on EPC, RFID and Baidu Map API, this paper designs a tracking and traceability platform and establishes a food life cycle model to ensure food safety and improve service level. The main research contents include: developing EPC coding system of the research object; solving the life cycle of the research object.
Research on Optimization Design of xcv-855 Machining Center Post-processing Based on Mastercam9.1
Authors: Ye Xuanlin 
Published: April 2020

Abstract
According to the structural characteristics of the four-axis machine tool of xcv-855 machining center and the requirements of NC program, MP language is used to optimize it on the basis of the post-processing file attached by Mastercam 9.1, so that it can automatically add M10 / M11 in the four-axis fixed axis machining, M29 in the rigid tapping, and the output angle is 0° ∼ 360°. Taking the actual processing of the filter head array drum as an example, the correctness of the developed post-processing file is verified. The practical results show that there is no alarm in the process of processing, and the processed parts can meet the specified accuracy requirements, so as to verify the correctness of the post-processing file.
Tribological properties of self-mated SUS304 lubricated by palm methyl ester mixed lubricant at boundary lubrication
Authors: Fuadi Z , Faisal M , Dirhamsyah M , Tadjuddin M , Kurniawan R 
Published: April 2020

Abstract
Due to environment and sustainability issues, it is important to reduce the use of petroleum based products in automotive and industrial application. One of the efforts is to use bio oils as base oil for lubricants. This paper presents the experimental results on the effects of palm methyl ester mixing in a conventional lubricant on the friction and wear characteristics of stainless steel SUS304. The friction tests were conducted using a ball-on-disk tribometer at boundary lubrication condition. Three kind of lubricants were prepared, i.e. commercial SAE40, and the mixture of 0.5% and 1% palm methyl ester into SAE40 lubricant. The prepared lubricants were designated as PME0, PME5, and PME10, in reference to 0%, 0.5%, and 1% palm methyl ester mixture in the SAE40 oil. Results shows that the addition of palm methyl ester in the lubricant has reduced the value of coefficient of friction from 0.7 to 0.55 with the addition of 1% palm methyl ester in the base lubricant. As for the wear, 10% reduction of the wear scar was achieved at the condition of PME10 compared to that at PME0. One of possible explanation for this reduction is the formation of oxidative layer on the contact interface due to the existence of the methyl ester in the lubricant. This result indicates the positive impact of the palm methyl ester as additive for enhancing the performance of conventional lubricant thus requiring further analysis and investigation.
Lean Production Model Aligned with Organizational Culture to Reduce Order Fulfillment Issues in Micro- and Small-sized Textile Businesses in Peru
Authors: Martinez-Condor B , Mamani-Motta F , Macassi-Jaurequi I , Raymundo-Ibañez C , Perez M 
Published: April 2020

Abstract
This paper proposes an optimization model aimed at increasing production capabilities at a small-sized textile business dedicated to manufacturing polo shirts, while reducing order fulfillment issues, including incomplete orders and late deliveries. Hence, an assessment identified downtimes from unnecessary transportation travel, time spent looking for materials, and excessive losses due to cutting fabric errors. In this light, the study focused on selecting adaptable tools, such as 5S, Plant Layout, and Method Study, which may help improve production capabilities and address these situations. However, to guarantee that the objectives set forth are being met, the organizational culture must also be identified and improved so that it may serve as the foundation for the optimization model. Then, the proposed model will be validated to determine whether the selected operating tools supported by the strengthening of organization culture contribute to increasing production.
Lean Manufacturing Model for production management to increase SME productivity in the non-primary manufacturing sector
Authors: Flores-Meza S , Limaymanta-Perales J , Eyzaquirre-Munarriz J , Raymundo-Ibañez C , Perez M 
Published: April 2020

Abstract
Currently, there is a large percentage of small and medium-sized enterprises (SMEs) in the Peruvian textile market that show economic loss because of the payment of penalties to customers, which are incurred owing to the delay in the delivery of order batches. This is due to poor production management and a lack of focus. The manufacturing sector is essential because of its high contribution to the country’s gross domestic product. Currently, SMEs do not employ methodologies that help improve production and process management as they do not realize how important and necessary the methodologies are, in addition to how complex these may be. Therefore, this paper will propose a production management model designed for SMEs in this sector, based on Lean methodology where the objective is time reductions and production increases as well as exerting changes to the organizational culture. Thus, this model will help organizations to avoid incurring economic losses because of the payment of penalties for orders not delivered on time. To validate the present model, a time simulation was performed in the manufacturing area of a textile company. The result of this project was positive, since there was a 25% increase in productivity and a 20% reduction of takt time with respect to the initial data.
Comprehensive Management model for increasing the competitiveness of small and medium artisan jewelry enterprises in Peru
Authors: Mejia-Pajuelo K , Solis-Galdos K , Mauricio-Sanchez D , Raymundo-Ibañez C , Perez M 
Published: April 2020

Abstract
Today, many small and medium enterprises (SMEs) either go out of business or see their growth being stalled due to poor activity management and organization, which is why they are often unprepared to engage against large companies leading their competitive markets. This study aims to develop a comprehensive management model, exclusively designed for SMEs in the jewellery sector, which may encompass all areas that create value and make them competitive. The development of this comprehensive management model was deployed in 21 steps classified into three tiers based on three major philosophies. This study uses lean manufacturing to identify activities that add value and reduce waste, and lean green was used to provide the environmental care and culture approach required for a friendly and fair workplace environment. The selected scenario is a jewelry workshop, wherein techniques and tools were completely applied and yielded a 20% increase in operating performance and a 15% increase in annual return.
Lean Manufacturing Production Method using the Change Management Approach to Reduce Backorders at SMEs in the Footwear Industry in Peru
Authors: Dextre-del-Castillo D , Urruchi-Ortega S , Peñafiel-Carrera J , Raymundo-Ibañez C , Dominguez F 
Published: April 2020

Abstract
This article proposes a production method that aims to increase the manufacturing capacity of a footwear small- and medium-sized enterprise (SME) to reduce backorders. Therefore, an assessment is carried out and delays in production processes, excess product transport time, defective products, and inefficient work methods are identified. This article proposes designing a Lean manufacturing method using the change management approach, whose methodology is composed of six phases. In phase 0, change management is carried out; in phase 1, the company’s current situation is reviewed using the Value Stream Mapping (VSM); in phase 2, the work area is reorganized (implementing SLP and 5S); in phase 3, production is balanced (implementing Line Balancing); in phase 4, continual improvement is established using the Kaizen tool; and finally, in phase 5, the results are evaluated. Through validation, it was possible to confirm that Lean manufacturing tools along with change management increased order deliveries by 82%.
Application of QR codes as a new communication technology and interactive tourist guide in Jaboi, Sabang
Authors: Marwan  , Yanis M , Muzakir  , Nugraha G S 
Published: April 2020

Abstract
The Indonesian volcano is only limited for the electrical energy capacity, but in developed countries, the volcano is not only used for power plan but also developed for the tourism industry. Jaboi is one of the volcanoes located in Sabang with a capacity of 80 MW. The five potential of geothermal spots can be used as geo-tourism tours. Besides to improve the economic sector, the main purpose of the geo-tourism is the management of the tours that will be provided for educative lessons about the friendly life in a volcanic area. In this paper, we produced the educational videos that placed on each tourist spot; the video contains including the history of the site, geological background, and also information about the risks of living in a volcanic area. The QR code program is used as a medium for data transfer that can be scanned through a smartphone. This application is widely used in tourism as an economical alternative in technology. In the several spots that difficult to access, we also produced a safe route with a QR code program. The tracks will be overlaid on the smartphone with the ‘gpx viewer’ application, which possible to download from Google Play or App Store.
Rapid material estimation for reinforced concrete construction utilizing a parametric tool for Aceh’s post-disaster case
Authors: Atthaillah  , Saputra E , Karsono B , Fahrizal E , Fithri C A 
Published: April 2020

Abstract
This paper offered a new open-source parametric tool for reinforced-concrete construction estimation for post-disaster based on Aceh’s case. The tool aimed at introducing and providing an innovative solution of estimation for building materials more dynamically and rapidly. The tool was initiated by the fact that the delay of relief shelter deployment in 2004 post-tsunami in Aceh of Indonesia was caused by the inability to provide a rapid calculation for building materials as a result of a massive request [1]. Further, the reinforced-concrete constructions had become a positive preference by the Acehnese [2]. In order to offer a new tool for rapid and dynamic estimation specifically for reinforced-concrete construction, the authors utilized visual scripting of Grasshopper with GHPython extension for optimization of the proposed tool. The tool introduced in this paper was the improvement of previously explored workflows by the authors and ended up with an innovative tool for modeling, visualizing, and estimating. Furthermore, the tool enhanced users’ experiences to construct a workflow based on users’ specific logic. The tool allowed alterations in the design without comprising time for estimation. In this way, the specific need of the victims in post-disaster was accommodated without obstruction to an estimation of building materials, thus, improved quality and management of the relief shelters for a post-disaster.
Application of paper disc velocimeter for groundwater flow measurement in tropical peatland
Authors: Sutikno S , Ramawilis RD , Hutapea FA , Rinaldi  , Yamamoto K 
Published: April 2020

Abstract
This paper presents the application of paper disc velocimeter (PDV) for groundwater flow measurement in tropical peatland. The PDV is a simple and low-cost method used without electricity that is developed by Yamaguchi University to measure groundwater flow. This method was applied to understand the groundwater hydraulic in the tropical peatland as the impact of rewetting efforts using canal blocking. A study site at Lukun village, Kepulauan Meranti Regency, Riau in Pulau Tebing Tinggi peatland hydrological unit (PHU) was picked up for the application of this method. Five deep wells in each transect of three transects totally were prepared for the measurement using PDV. The Transect-1 and Transect-2 were located at the upstream side of canal block with a distance of about 400 m and 100 m respectively. The Transect-3 was located on the downstream side of the canal block with a distance of about 100 m. The results showed that the groundwater velocity in the upstream side of canal block tends to lower than that in the downstream side. This was because the groundwater level in the upstream was maintained in a stable condition due to the canal blocking. This finding showed the impact of canal blocking on the rewetting effort in the tropical peatland.