bluuebunny/crossref_metadata_2025 huggingface dataset:
Development Of Mathematical Model Related To Bumps On The Road
Authors: Yadav R , Kumar M
Published: June 2020

Road bumps are one of the traffic calming tool installed on the roads to control the speed of the vehicles, to avoid accidents and help pedestrians to cross the road. Road bumps should be set up keeping in the mind the various factors such as location type, traffic type, population density, and others. Work was done on the various types of road bumps mainly conical-shaped road bumps and usage of the Fourier series which is effective for periodic shaped bumps. In this paper, we are going to use the Laplace transform which is effective not only on the periodic type of the road bumps but also on the complex structures of road bumps and will study it on the hollow rectangular shaped road bumps. We will find the parameters especially effective distance between the two consecutive road bumps and displacement caused to the vehicle which would help in the designing of the road bumps so that vehicle could move safely over the bumps and least damage could be caused to it and travellers inside it.
Fractal Analysis of Black Carbon in the Coal Mine Regions of India
Authors: Makkhan Sidhu J S , Parmar K S , Kaushal S , Soni K
Published: June 2020

Time series display irregular patterns and self-similar microstructures usually termed as fractals over a period of time, depending on several factors like climate, season, market fluctuations, growth cycles etc. Various methods are developed in mathematical modeling to investigate such trends in the time series. Black carbon is one of the major air pollutants released during several mining activities having dangerous effect on climate and human health. In this paper we aim to study the behavioral pattern and trends in the time series of black carbon concentration over the three major coal mines of India namely Raniganj, Jharia and Bokaro considering a long term time series data of past 38 years using regression and fractal dimensional analysis of black carbon between the major coal mines with the help statistical tools like Hurst exponent, predictability index and trend percent. In this comparative study it is observed that the time series display anti persistent behavior with positive and large variation then the past time. The results and comparisons obtained will be helpful in studying the behavior and trends in the concentration of black carbon over the coal mines regions. The significance of the study will be helpful to gather the interest of researcher’s, NGO’s and government towards the black carbon concentration over the coal mines so that preventive measures and new policies be framed to keep a check on black carbon concentration in these areas.
A comprehensive survey on prime cordial and divisor cordial labeling of graphs
Authors: Parthiban A. , Sharma Vishally
Published: June 2020

This article presents a short and concise survey on prime cordial and divisor cordial labeling of graphs. A prime cordial labeling of a graphG(V,E) is a bijective functionf:V(G) → {1,2,…,|V|} such that if each edgexyis assigned the label 1 ifgcd(f(x),f(y)) = 1 and 0 ifgcd(f(x),f(y)) > 1, then the number of edges labeled with 0 and the number of edges labeled with 1 differ by at most 1. Further, a divisor cordial labeling ofGis a bijectiong:V(G) → {1,2,…,|V|} such that an edgestis assigned the label 1 if oneg(s) org(t) divides the other and 0 otherwise, then the number of edges labeled with 0 and the number of edges labelled with 1 differ by at most 1. We callGa divisor cordial graph if it admits a divisor cordial labeling. This article stands divided into five sections. The first and fifth sections are reserved respectively for introduction and some important references. The second section deals with the prime cordial labeling of certain classes of graphs wherein some important known results have been recalled. The third section deals with the divisor cordial labeling of graphs in which a few known results of high interest have been outlined. In the fourth section we highlight certain conjectures and open problems in respect of the above mentioned labelling that still remain unsolved.
Impact of water toxicity and acidity on dynamics of prey-predator aquatic populations: a mathematical model
Authors: Kalra P , Shreya
Published: June 2020

Escalation in pollution and contamination of the aquatic bodies is one of the alarming issues in recent times. Discharge of agricultural and industrial effluents into the water bodies is deteriorating the quality of water. Further, acid rain and pollutants washed off from land directly into water bodies lead to increase in acidity of water. These phenomena cause a decline in dissolved oxygen level of water, thus, threatening the survival of aquatic organisms. A non-linear mathematical model has been proposed to investigate the effect of toxicity and acidity on a prey-predator system wherein the predator is assumed to be completely dependent on prey for food. Also, it is assumed that rise in water acidity and toxicity develops impairments and infection in the lower level of food chain i.e. prey, which has indirect detrimental consequences for the growth and survival of the higher level of food chain i.e. predator due to consumption of prey by predator in the feeding process. Stability analysis of the model has been carried out and stability conditions have been derived taking into account all parameters of the proposed model. Numerical simulations are performed using MATLAB to support the analytical results obtained.
Microwave Assisted Synthesis of Benzotriazole Derivatives for Anti-Corrosive Study on Mild Steel in Acidic Medium
Authors: Verma Kunika , Singh Navneet
Published: June 2020

Four novel benzotriazole derivatives 1-(Chloromethyl)-1H-Benzotriazole; 1, N-(benzo[e] [1, 2, 4]triazin-4(3-H)-ylmethylbenzenamine; 2, 1-((1-H-benzo[d][1,2,3]triazol-1-yl)methyl) hydrazine; 3 and 1-((1-H-benzo[d][ 1,2,3]triazol-1-yl)methyl) phenyl hydrazine; 4 were synthesized through micro wave irradiation (MWI) method. These derivatives were characterized and tested for anticorrosive action on iron coupons in 0.5M acidic medium at different concentration. The anti-corrosive study was done using weight loss method and corrosion rate (CR) analysis. All the synthesized derivatives gave remarkable corrosion protection effect. Major outcome of the study shows corrosion inhibitor efficiency of derivatives follows order 3, 4, 2 and 1 at 100mg/L, 3, 2, 4 and 1 at 200mg/L, 3, 4, 2 and 1 at 300mg/L. Compound 1-((1-H-benzo[d][1,2,3]triazol-1-yl)methyl)hydrazine; 3 emerges as leader in all concentration in this study while 1-(Chloromethyl)-1H-Benzotriazole; 1, shows moderate impact. This study imparts an understanding for the new class of anticorrosive benzotriazole derivatives which can be of industrial use.
Properties of Bituminous Binder Modified With Polyethylene
Authors: Sharma Sonu , Sharma Praveen Kumar , Upadhyay Niraj
Published: June 2020

Bitumen is used as a binder in construction of flexible pavements since long. With the increase in population and number of vehicles, load on roads have been increased day by day. Thus roads which consist of unmodified bitumen suffer from serious drawbacks in the due course of time like rutting, thermal cracking, fatigue cracking, pothole formation etc. Hence, it is necessary to add a modifier in bitumen to enhance the binding property of later. Polyethylene, which is a non-degradable compound, become waste and creates pollution, owing to its high consumption. This polyethylene (melting point 120-180 °C; thermal degradation above 400 °C) in liquid state becomes sticky in nature and therefore can act as a binder. Also, major parts of both polyethylene and bitumen are hydrocarbon, hence polyethylene wastes (LDPE and HDPE) can be used to modify the bitumen and enhance the binder property of it. Like polyethenes, degradation of other polymeric wastes is also challenging and can be utilized for other purposes for minimizing the wastes and improvement in quality of available products.
Seismic exploration device based on time-frequency space algorithm
Authors: Liu Pengcheng
Published: June 2020

Among the exploration methods of oil and gas resources, one of the most important exploration methods is seismic exploration. Due to economic development, the previous shallow exploration has been unable to meet the needs, and it is necessary to conduct exploration in deep geological layers. However, as the depth increases, the signal of the geophone gradually weakens and the noise interference increases, which makes the denoising work of seismic exploration more important. Aiming at the above problems, this paper proposes the research of seismic exploration equipment based on time-frequency space algorithm, and uses different window lengths for processing based on the time-frequency peak filtering algorithm. Through simulation experiments on seismic exploration data with different frequencies, the results show that the method proposed in this paper improves the effective signal amplitude maintenance by more than 11%, and the amplitude maintenance is higher than 88%. The signal-to-noise ratio also improved from -8dB before filtering to 12.13dB. This shows that the method proposed in this paper can better meet the needs of seismic exploration signal processing.
Study on Book Ontology in the Digitization Process of Books
Authors: Li Xiao-Fei
Published: June 2020

In the construction of digital library, it is difficult to find the content information of massive electronic books.Thus, the problem of many islands of information is presented, which hinders the efficient utilization of resources. This paper proposed an ontology framework of the electronic book domain to realize the semantic description of information resources. The KeyGraph algorithm was used to extract the key words of the book content abstract and chapter content of the electronic books, and the corresponding classes in the domain ontology were instantiated with the keyword content. Finally the semantic retrieval model has been proposed for extracting the query keywords. Content abstract and chapter content were obtained from book ontology. Compare query keywords with their similarity to get the final query result.
An Electronic Voting Scheme Based on ElGamal Homomorphic Encryption for Privacy Protection
Authors: Li Luecheng
Published: June 2020

Electronic voting is the product of the development of modern network technology, in view of the electronic voting system security issues. This paper puts forward a kind of electronic voting scheme based on ElGamal homomorphism encryption, the scheme using homomorphic encryption strategies to voters vote operations, to protect the identity of voters and will not be exposed, to realize the security of electronic voting, confidentiality, and fairness, eligibility, and implement the Internet security electronic voting.
A Study on the Settlement of Gravel cushion and DCM Piled Compound Foundation
Authors: Song Shenyou , Xu Guoping , Jin Wenliang , He Xiao , Kou Xiaoqiang , Fu Baiyong
Published: June 2020

The DCM pile is applied in immersed tunnel foundation improvement first time at home in the mega project of Shenzhong Link with improved ground areas over 700000 m3. The compound foundation composed of gravel cushion and DCM piled foundation settlement law is not definite. To explore this law loading plate test in place on site is carried out and the test results show : (1)under the first order of load effect the settlement amount of the compound foundation accounts for over 60% of the total settlement, the modulus of compression of the gravel cushion is 1.5MPa being approximately 10%∼20% of normal modulus of compression; (2)under other loading effects the final deformation of compound foundation settlement curve shows stable state with the modulus of compression of the gravel cushion in range of 4.5∼12MPa which is equivalent to the normal value. The numerical analysis for purpose of the testing shows that the gravel cushion settlement accounts for larger proportion being 58.57% of the total settlement and the gravel cushion thickness, density, residual layers fallen in DCM dredging, all may be factors affecting settlement. Hence it is suggested to enhance study on the workmanship of the tunnel bed formation in order to improve the bed rigidity and anti-deformation ability.
Construction and Empirical Analysis of Information Management System of Engineering Investigation Quality
Authors: Zhou Chang’an , Chen Can , Ren Hong , Zhang Lichu
Published: June 2020

The information management of engineering investigation quality is actually the process of producing, collecting, inputting, sharing and applying engineering investigation parameter data and management information. Using the theory of total quality management and the information technology such as blockchain, big data and cloud computing, this paper explores the possibility of constructing the information management system of engineering investigation quality from “data standard of engineering investigation quality information”, “information management platform of engineering investigation project” and “geological information database of Engineering Investigation”, and takes Chongqing as an example to carry out the engineering investigation quality. The construction and analysis of information management system verify the effectiveness of the information management system of engineering investigation quality.
Study on the Application of Computer Simulation Technology in the Cultivation of Professional Skills
Authors: He Zhizhou
Published: June 2020

In view of the characteristics of computer simulation technology, the training program of professional talents is studied. Summarizing the problems existing in the training of professional skilled personnel, the aim is to perfect the method of cultivating professional skills in order to show the training value of computer simulation technology and provide reference for the development of the industry.
A Security-aware Workflow Scheduling Strategy for Edge-cloud Computing used in UVA Delivery System
Authors: Shi Wenyu , Zhang Rui
Published: June 2020

With the rapid development of e-commerce, the “last mile” of logistics delivery has the problems of low efficiency and high cost. UVA delivery system can overcome this bottleneck whose system is a business process system which requires massive resources and real-time response. Edge-cloud computing integrates the massive processing power of cloud computing with the advantages of low latency and localization of edge computing. However, energy of UVAs is limited and UVAs are vulnerable to attacks. To address such issues, this paper proposes a secure model based on edge-cloud computing. Second, a new fitness function is proposed to evaluate the energy consumption and the security of task execution. Finally, a security-aware energy-efficient multi-source workflow task scheduling strategy within response time constraint is proposed. The results show that our strategy can achieve the security requirement and has less energy consumption under the limitation of response time.
Design and Implementation of Children’s Book Management System Based on Asp.Net Technology
Authors: Yan Zhao
Published: June 2020

with the Rapid Development and Popularization of Computer and Network Technology, Today’s Society is Developing in an All-Round Way. in Today’s Society, the Amount of Information is Increasing Rapidly in Several Stages Every Day. in This Information Explosion Society, Information Automation Management Has Become the Trend of Today’s Society. Books as an Important Carrier of Information, with the Development of Information Technology, the Types and Quantity of Books Have Also Changed Greatly, and Growing At a Very Fast Speed. How to Find, Borrow and Return Books More Efficiently and Quickly Has Become a Difficult Problem in Book Management. the Popularization of Computer and the Development of Network Technology Have Brought an Opportunity for This Problem. This Paper Analyzes the Design of the Management System Based on the Physical Structure of B/s and Introduces in Detail the Development Tools, System Function Requirements and System Software and Hardware Requirements for the Realization of the Web Management System of Children’s Books. the System Has Been Realized by Developing Technology and Tools, Which Ensures the Normal Operation of the System, Realizes the Integrated Function of Information Service of the Library, Increases the Working Efficiency of the Management Personnel, Facilitates the Reading Demand of the Majority of Children, Reduces the Maintenance Cost of the Library, and Makes the Library Develop Towards the Modernization of Information Technology.
Research on Application of Deep Learning Based on Mobile Learning in Smart Grid
Authors: Huang Wen , Zhang Haibiao
Published: June 2020

The rapid economic and social development cannot be separated from the important contribution and guarantee of the power industry. In the development of power industry, substation technology plays a very important role. The development of in-depth learning based on mobile learning provides an effective means for data value extraction. Therefore, it is of great significance to guide power enterprises to make correct decisions by making full use of these data based on the actual power grid and analyzing them in depth to discover and utilize the hidden information. Firstly, the basic framework of in-depth learning is elaborated, and the theoretical basis and technical system of mobile learning are summarized. According to the actual demand of power system, this paper summarizes the key application fields and values of mobile learning-based deep learning in power system data processing based on image data and spatio-temporal data, and puts forward relevant technical development suggestions.
Research on Design and Implementation of Knowledge Map Storage Access System Based on Ontology Reasoning
Authors: Li Jian , Ma Yanzhou
Published: June 2020

In order to support the intelligent combat capability of future wars, the network information system needs in-depth research and exploration in the field of artificial intelligence. This paper designs a distributed aggregation storage mode with the characteristics of balanced storage load distribution and local node aggregation storage under Big Table model. A distributed parallel query engine that uses the Group-By mode to distribute parallel computation query trees. A knowledge map completion method based on Bayesian inference is proposed. Bayesian probabilistic inference theory and RDF implication inference rules are used to jointly infer the potential relationships between entity nodes to predict the relationship between new nodes and original nodes, thus improving the mining efficiency of potential factors in the model and the accuracy of prediction of unknown relationships. Based on Big Table model, the entity sets stored row by row are evenly divided and stored through random prefix and pre-partition operations to realize load balancing. At the same time, random prefixes can be uniformly distributed to nodes for storing entities of the same type, and aggregated by entity category on a single node. With the continuous development of knowledge map technology, future knowledge map learning and reasoning technology can be integrated with new fields such as machine depth learning, cloud computing, block chain, big data, biological genetic engineering, etc. to play an important social value.
Advances in Automatic Bird Species Recognition from Environmental Audio
Authors: Dong Xueyan , Jia Jingpeng
Published: June 2020

Bioacoustics has recently become one of the “big data” research topics since many bird monitoring projects have collected terabytes of audio using remote sensors. The challenge in recent years is to develop algorithms to realize fully automatic recognition of bird species through analysing environmental recordings. A number of approaches directly draw on experience of effective algorithms in signal processing and image processing areas. They seem working well for small data or lab data, however, the outcomes for large-scale environmental data shows a big gap between theoretical experiments and real applications. To provide possible clues for future research, we review the state-of-art development in automated bird species recognition, and identify wide range of algorithms on noise removal, bird call detection, feature extraction for classification. The significant software tools and publicly available datasets for the task are presented. This survey can be valuable for new researchers who are about to start the journey with birdsong analysis.
Design of Audio Signal Analyzer Based on MCU and FPGA
Authors: Lv Meimei , Gao Tongguo , Yan Ding , Qiao Lufeng
Published: June 2020

This audio signal analyzer is based on a microcontroller (MCU) and a field programmable gate array (FPGA). It consists of a controllable gain amplifier circuit, an active filter circuit, A / D conversion and D / A feedback circuits, and a main control circuit and liquid crystal display module. Through AD conversion, the audio signal is sampled, the continuous signal is discretized, and then the FFT fast Fourier transform operation is performed to analyze and process each frequency component and power of the audio signal in the time and frequency domain. By controlling the gain of the amplifier to expand the dynamic range of the input signal and improve the sensitivity, it can also complete the corresponding human-computer interaction control based on the PS2 keyboard input, while using the high-resolution LCD to display the signal spectrum. The audio signal frequency range that this system can accurately measure is 20Hz-10KHz, its amplitude range is 5mVpp-5Vpp, and the resolution is divided into 20Hz and 100Hz. The measured power accuracy is as high as 1%, and the period of the periodic signal can be accurately measured, which is the ideal solution for audio signal analyzers.
Multi-type web image text detection based on the improved EAST algorithm
Authors: Xiang Yuanji , Luo Fei
Published: June 2020

Web image character recognition has important application value in the commercial field and text detection is the basis of extracting this text information. Among many text detection algorithms, EAST (efficient and accurate scene text detector) algorithm has a good performance in natural scenes, but it is ordinary in web pictures. Based on this, aiming at the problem that the number of channels in the QUAD output layer of EAST algorithm is redundant, which leads to the low accuracy of web image text detection, it is modified as the distance from the point marked as a positive sample to the four vertices of the text box where it is located instead of the coordinate offset to the vertices. The improvement reduces from the original 8 channels to 4 channels, which restricts the optimization direction of the model, and then by setting a new loss function in order to improve the loss value of the edge area of the text box and the pixels in the image that are difficult to detect, the model is more suitable for the text detection of the web image. The experimental results show that the improved EAST algorithm significantly improves the accuracy of text detection in web images.
Research on Cellular Automata Network Public Opinion Transmission Model Based on Combustion Theory
Authors: Chen Hongzhou , Song Yinghua , Liu Dan
Published: June 2020

With the continuous development of social networks and the continuous emergence of public opinion on the Internet, the government’s emergency response is facing tremendous pressure. In this paper, cellular automata is used to compare the social relationships between individuals in the network. Combustion propagation models are used to compare the network masses to several types of burning substances according to their propagation characteristics. The influencing factors among individuals are determined. A network public opinion propagation model is established to explore the rationality of its propagation.
Indoor Semantic Mapping with Efficient Convolutional Neural Networks for Resource-constrained SLAM System
Authors: Zhang Jiahao , Wang Zhiqiang , Zhu Qing
Published: June 2020

Scene parsing and robotic manipulation using visual sensing are of significant importance for mobile and robotics related applications. And increasing efforts are being made to associate semantic concepts to geometric entities in robot’s surroundings. However, they are not well suitable for resource-constrained and mobile platforms. Toward an efficient semantic mapping solution, we propose a specifically light-weight segmentation network for building a dense 3D semantic map in real-time. The propose architecture is based on depth-wise convolution and channel shuffle to reduce computation cost. An improved Atrous Spatial Pyramid Pooling (ASPP) and encoder-decoder structures are presented and multi-scale features are merged for better prediction. Experiments are compared with other methods to prove the effectiveness and superiority.
Study of simulating human intelligent control
Authors: Zhao Jing
Published: June 2020

Because the temperature control system of glass furnace has the characteristics of non-linear, time-varying, large amount of interference, large lag and so on, the traditional PID control is difficult to ensure the temperature control accuracy and can not achieve the expected effect, the artificial intelligent control is proposed for the temperature control system of glass furnace. Humanoid intelligent control is to make the controller imitate the control behavior of human. It uses control theory and computer technology to act on the actual control system. Through the analysis of the simulation curve of the artificial intelligent control of glass furnace temperature, the superiority of the artificial intelligent control is verified.
Automatic defect detection based on improved Faster RCNN for substation equipment
Authors: Shouguo Lv , Liu Kai , Qiao Yaohua , Wang Qi , Yang Sun , Li Zhenyu
Published: June 2020

Defect detection methods based on machine learning extremely accelerate the substation routine inspection process. In this paper, we propose an automatic defect detection method based on improved Faster RCNN. For one thing, random feature pyramid (RFP) structure is introduced for the highly discriminative feature map construction; for another thing, we execute the detection boxes selection by soft non-maximum suppression (SNMS), keeping the detection of defects which distribute densely. Finally, online hard example mining (OHEM) is employed to deal with the imbalance problem. Experimental results demonstrate that the proposed approach obtains competitive performance compared with state-of-the-art deep learning object detection methods.
Face Recognition Technology Analysis Based on Deep Learning Algorithm
Authors: Liang Li
Published: June 2020

with the Explosive Development of Deep Learning Technology Face Recognition and Other Recognition Technologies Mostly Adopt Deep Learning Algorithm for Recognition. Although the Deep Learning Algorithm Has High Recognition Accuracy, It Has a Huge Demand for Computing. in the Mobile Terminal, We Can Use Artificial Intelligence Chips That Can Accelerate Deep Learning Operations to Complete Relevant Operations. Deep Learning Has Fixed Modes, Like Convolution. Ai Chips Can Significantly Improve the Efficiency of Deep Learning Operations by Optimizing the Corresponding Operation Modes. in This Way, Mobile Terminals Can Quickly Implement Complex Deep Learning Operations, Such as Face Recognition Based on Deep Learning. One Representative of Ai Chips is the Tensor Processing Unit of Google, Which is Able to Accelerate the Tensor Flow of the Deep Learning System, Which is Far More Efficient Than Gnus. the Tpu Provides 1,530 Times the Performance Improvement and 3,080 Times the Efficiency (Performance/Watt) Improvement over the Same Cpu and Cpu. Traditional Face Recognition Algorithms Include Face Recognition Technology Based on Pca(Principal Components Analysis) and Face Location Technology Based on Ad Boost. Although the Traditional Face Recognition Technology is Fast, the Detection Effect is Much Different from the Deep Learning Technology. on the One Hand, the Accuracy of the Traditional Face Recognition Methods Represented by Pca is Far Lower Than That of the Deep Learning Algorithm. on the Other Hand, for the Recognition of Massive Users, the Traditional Pca Face Recognition Technology is Not Competent.
Distributed Partial Discharge Detection Technology for High Voltage Cable Based on Ac Withstand Voltage
Authors: Liu Dawei , Liu Yi , Li Fang , Wang Chen
Published: June 2020

with the Development of Urbanization, It is More and More Urgent to Improve the Reliability and Stability of Power Supply. Due to the Consideration of Municipal Planning, Environment, Personal Safety and Other Factors, the Utilization Rate of Power Cables in Urban High-Voltage Transmission Channels Has Increased Dramatically. Accidents Such as Fire, Large-Area Power Failure and So on, Which Are Caused by Internal Insulation Defects of Cables, Defects in Joint Position Fabrication and Installation Process, Occur from Time to Time. This Paper Studies the Detection Method of Potential Insulation Defects in the Cable Interior and Joint Position Based on the Ac Withstand Voltage Partial Discharge Detection Technology, and Designs a Set of Distributed Partial Discharge Test System Based on the High Frequency Pulse Method to Detect the Interior, Middle Indirect Head and Terminal Head of the Cable. in the Field, the Distributed Pd Detection Technology Based on Ac Withstand Voltage Designed in This Paper Can Effectively Detect the Internal and Joint Insulation Defects of Power Cables, and Realize Fault Location, Which Has the Value of Practical Application and Promotion.
Mp-Matt:a Time Series Prediction Method with Mine Gas Sensor Data
Authors: Wang Weihan
Published: June 2020

Based on the Encoder-Decoder Framework, Combined with the Pooling Preprocessing and the Mupli-Attention Mechanism, This Paper Proposed the Mp-Matt Model for the Prediction of Mine Gas Time Series Data. the Model Had a Good Predictive Accuracy in the Data Set of Oxygen, Carbon Monoxide and Methane in a Mine. the Accuracy of the Best Baseline Comparison Model Had Increased by 10.30%, 22.26% and 20.02%, Respectively. This Study Compared the Effects of Each Component in the Model. the Comparison Showed That the Multi-Attention Layer Had the Most Obvious Effect. the Increase of the Metic Pooling Layer Was Lower, and the Effect of Adding the Fatt Layer Was Slightly Better Than That of Adding the Hatt Layer.
Consumer Behavior Analysis in the Offline Retail Stores based on convolutional neural network
Authors: Wang Mingxu
Published: June 2020

Pedestrian attributes recognizing (PAR) is an important task in computer vision area due to it plays an important role in video surveillance. On the other hand, pedestrian visual attributes are treated as middle-level semantic features which can provide calibration information for high- level human related visual tasks in order to improve the discriminative ability of the models, such as pedestrian detection, people tracking, person re-identification, action recognition and scene understanding. However, the most study of PAR is based on single person. In this work, I implements a multiple pedestrian attributes recognition model based on the offline retail scenes. This model combines object detection and multitask classification techniques and can be trained end-to-end directly for back propagation. This paper also demonstrates the performance of the final model through a series of experiment.
Semantic Parsing of Action Text for Text-to-Scene Conversion
Authors: Yang Fuping , Wang Linna
Published: June 2020

Understanding the action text is the main problem of dynamic scene generation in text-to-scene conversion. However, the existing basic research about it is still lacking, and its semantic parsing method is not perfect. Therefore, based on the idea of action chain structure, the formal expression of it is established on the basis of defining action text, classifying action text and analysing the features of action text. The method of action text semantic parsing is proposed combing with the action text semantic dictionary. The experimental results show that the method completes the semantic parsing for the action text to a certain extent and provides a reference for computer to understand the semantic of action text.
Economic Analysis of Information Transmit Mechanism in the Electronic Supply Chain Finance Service
Authors: Lei Su , Haiying Wang , Weiyu Tian , Haiyue Li
Published: June 2020

As many finance services are made through supply chain system, it needs the stability and accuracy in information transmit process. Supply chain finance service online should be built on the system, including open API, basic database, and progress standardization. The paper focuses on related processes on the SCM platform. Then it discusses how to strengthen the determination of legal rights and responsibilities and provides business scenario of planning electronic warehouse receipt. It shows that the information transmit mechanism can get the economic profit with the help of system.
Discussions About Supply Logistics in Automobile Industry of China
Authors: Wang Xueliang , Le Xiaobing
Published: June 2020

Based on the research of lean production, the lean supply theory is a development of the lean concept from the production field to the supply field. After that, it is developed integrated lean supply which is a kind of collaboration in the first level and provides components with higher quality and lower cost for assembly plants in larger size, higher level, shorter time and enterprises in the supply chain for a long term and it could finish the process of supply with higher lean requirement on the premise of highly integration. The supply chain system in auto-mobile industry is very complicated. At the same time the operational efficiency of supply logistics will directly influence the final profit of enterprises in the supply chain. However, in the process of implementing lean supply logistics, due to the lack of specific and systematic theoretical guidance, the research results are not satisfactory. This article base on the perspective of collaborative innovation, and through collaborative innovation of supply-chain, production and distribution logistics in different stages of logistics operation to realize logistics integration of a enterprise successfully.
Design and Research of Logistics Distribution System Based on RFID
Authors: Wanhua Wei
Published: June 2020

It Introduces the Concept of RFID Technology and Logistics Distribution. According to Their Characteristics, It Designed and Studied a Logistics Distribution System with Its Overall Scheme, Hardware and Software. the System Can Identify and Track the Information of the Whole Acquisition and Supply Chain. It Can Provide Accurate Product Distribution Information for Suppliers, Manufacturers, Retailers and Consumers. It Can Greatly Save Time and Reduce Labor Costs, Simplify the Process of Logistics Distribution and Improve the Efficiency of Distribution.
An approach to data tag optimization base on self-attention generative adversarial nets
Authors: Chen Yuan , Hou Yintao , Zhang Bing
Published: June 2020

In order to solve the problem of low performance caused by errors and omissions in tags in the data resources, this paper proposes a tag optimization method based on self-attention generative adversarial nets(SAGAN). First use TF-IDF training to calculate the similarity between texts, then use the consistency between the similarity between texts and tag similarity to define the objective function. Second add correction terms to reduce the bias of user-provided tags before and after optimization. Finally, we propose to apply Self-Attention GAN to further improve the performance of tag optimization objective function, and the results are compared with the original tags. Compared with the original tag, the optimized tagging performance has been improved. The test results show that the tag is optimized and improved, and the performance problem in tag recommendation is solved.
Analysis on the Characteristics of Taoist Language Communication Media Based on Computer Network Technology
Authors: Li Yuan
Published: June 2020

Taoist culture has profound guiding significance to people’s spiritual life and social life, so it is realistic and necessary to inherit and develop Taoist culture. Language is an important medium for the spread of Taoism, and its two main forms have their own characteristics. The emergence and rapid development of network technology have promoted cultural exchanges and brought new opportunities for the inheritance and development of local culture. It is necessary for us to discuss the advantages and disadvantages of the application of network technology in Taoist language communication, so that computer network technology can be better applied in Taoist language communication practice. With the help of the advantages of network media, we can build scientific and effective cultural communication strategies, such as establishing communication awareness, expanding the scope of communication and increasing the forms of communication. The continuous development of information communication is the development of information technology. This paper analyzes the characteristics of Taoist language communication media under the background of the rapid development of computer network technology.
Performance evaluation of fish auction (TPI) in improving fisherman welfare at Muara Angke, Penjaringan – North Jakarta
Authors: Ariwibowo P.
Published: June 2020

The purpose of this study to determine and analyze the Profile of Fish Auction Sites (TPI), management of Fish Auction Sites (TPI) to the welfare level of Purse Seine fishermen, evaluate the duties and functions of Fish Auction Sites (TPI) in supporting the welfare of fishermen in Muara Angke, Penjaringan, North Jakarta. The focus of qualitative research was obtained after Evaluating the Performance of Fish Auction Places (TPI), researchers conducting general exploration (observation grand tour and grand tour question) using purposive sampling. Data analysis in this study uses data reduction, data display, and conclusion drawing. The findings of this study, Fisherman Exchange Rate (NTN) for ABK fishing Purse seine In Muara Angke, revenues and expenses per day, of total family income above one. Whereas NTN capture fisheries business income is above one. This means that the current acceptance of the fishermen’s family has not been able to fulfill all their subsistence needs, even though all of the needs for capture fisheries can be fulfilled. The movement that we can know from INTN (Fisherman Exchange Rate Index) provides families from time to time. An illustration of the observations per day, INTN is based on the total income of all fishermen in Muara Angke which is the author’s research sample tends to increase. This shows the purchasing power of people in Muara Angke during the last 1 year has been slightly fluctuated.
Comparison of metallic (FeCrAl) and Ceramic Catalytic Converter (CATCO) in reducing exhaust gas emission of gasoline engine fuelled by RON 95 to develop health environment
Authors: Feriyanto D. , Pranoto H. , Carles H. , Leman A.M.
Published: June 2020

Environmental and human health problemscaused by high air pollutant which contributed by transportation sector become main issue in the world. There are someair pollutants from gasoline engine such as Carbon Monoxide (CO), Nitrogen Oxide (NOx) and Hydro-Carbon (HC). Therefore, the objective is to investigate the effectiveness of catalytic converter (CATCO) as pollutant converter in reducing harmful exhaust gas and improving the conversion efficiency. The exhaust emission analysis is conducted by gasoline engine model Mitsubishi4G93 in various engine load of 10%, 20% and 30% and various speed of 1000, 2000 and 3000 rpm fuelled by RON 95. The result shows that the ceramic material more effective to reduce the CO and HC as compared to metallic material with maximum conversion is 99.02% at speed of 1000 rpm in engine load of 20% and 97.66% at speed of 1000 rpm and 10%engine load. Meanwhile, Metallic CATCO shows the lower NOx emission as compared to ceramic with the lowest NOx is 128.27 ppm which shown by speed of 1000 rpm and 10%engine load. The lowest emission mostly at speed of 1000 rpm and at lower engine load. It caused by engine load and speed increased as CO, NOx and HC increased as well.
Environmental risk analysis of The Bedadung Watershed By Using DPSIR
Authors: Puspitasari A I , Pradana H A , Novita E , Purnomo B H , Rini T S
Published: June 2020

Bedadung River is one of the most strategicrivers located in the Bedadung Watershed in Jember. This river crosses Jember with a length of 46,875 meters and it is used as a source of raw water and irrigation as well as a source for PDAM in Jember. Along with many activities of the community, the water pollution load increases significantly. In general, the source of pollution comes from anthropogenic activities in the form of exposure to domestic waste, industrialization, population growth, pesticides and fertilizers, organic and inorganic waste, urban development and weak management systems. This study aims to analyze the environmental risks in the bedadung watershed based on water quality data using DPSIR method. The DPSIR (Driver-Pressure-State-Impact-Response) framework has been used as one of the tools in environmental risk analysis that shows the existence of linear interactions between human activities-pressure and impact. In general, human activities are part of the drivers and human needs that can cause pressure on the environment. This pressure has the potential to cause certain negative impacts that need handling to reduce it. The DPSIR framework which being used is Driver (industry, garbage); Pressure (changes in the chemical composition of water); State (physical and chemical characters); Impact (changes in water quality); and Response (limiting waste disposal to rivers).
Frontline messenger: preliminary study on Indonesian “diaspora” in gastrodiplomacy
Authors: Trihartono A , Santoso B , Hara AE , Pamungkas FZ , Viartasiwi N
Published: June 2020

This paper underlines Indonesian “diaspora” as the front liner in implementing gastrodiplomacy. Many studies of the gastrodiplomacy actors focus mostly on the state and the NGOs of the home country. Those previous studies seem to overlook the fact that the diaspora has done on Indonesia’s gastrodiplomacy overseas. Within the academic works, diaspora and its role got less the attention that they deserve. Diaspora has been taking its part by doing direct communication with the public in the international world. Diaspora is among the first and, maybe the foremost, in applying how gastrodiplomacy works. By using the descriptive qualitative method, this paper sees that the diaspora has an essential role in the gastrodiplomacy. This paper suggests that the inclusion of diaspora into the list of the key actor of gastrodiplomacy may shape the more effective public and cultural diplomacy of Indonesia.
Social and economic issues on the cruise ship tourism in Probolinggo City
Authors: Hutama P S , Negoro A H S
Published: June 2020

The significant tourism potential in East Java attracts tourists to stop and stay. Probolinggo City, with its strategic potential, has the opportunity to be visited by tourists through international cruise ships. The choices are as varied as a tour in Probolinggo City or a nature-based tour like Mount Bromo. Travel to the City of Probolinggo has been developing since 2011; this correlates with the government and the community to promote tourism with potentials such as recreational and shopping tourism, cultural appeal, clean and green cities, and friendly residents. Benefits for the government and the community are related to socioeconomic developments that continue to develop. By using the input-output results, you can find out the data of cruise ship visits that stopped in 2016-2018. The data obtained can be analyzed with three different impacts, namely, direct effects, indirect impacts, and interrelated impacts. The purpose of this article is to solve the problems that arise and find out which appears that occur for the City of Probolinggo with a cruise tour that stops at the port of Probolinggo. However, it is not only a positive impact but a negative impact. Some efforts are needed to reduce the negative implications that are correlated with the Probolinggo Sustainable Tourism Development.
The practice and indicators research based learning for introduction of geographic landscape (a case study in Department of Geography Education)
Authors: Ikhsan F A , Kurnianto F A , Apriyanto B , Kurniasih F , Puspitaningrum D A
Published: June 2020

This study aims to explain the impact of practice and indicators of research-based learning on the introduction of landscapes for geography students. The research method used is qualitative with a case study approach. The subjects in this study were students and lecturers of geography education. Data collection techniques were carried out with written document reviews and in-depth interviews with second semester students and lecturers in geography education study programs. Data analysis techniques are carried out by multi-case analysis review. The results showed that the practice of landscape-based research-based learning had an impact on geography literacy skills, spatial thinking, critical thinking, scientific thinking, research, and mapping of individual students. The ability of observation and analysis is a pedagogic indicator of research-based learning that influences intellectual development, technical progress in learning and research in the field, as well as individual skills in solving problems of geographical phenomena in a practical and theoretical way from students.
Socio-economic impact in-out migration phenomenon in Southeastern Malang in 19th-20th
Authors: Sayono J , Ayundasari L , Ridhoi R , Irawan L Y
Published: June 2020

Migration is an ancient phenomenon that has occurred since the prehistoric era with the greatest motivation to fulfill primary, secondary, and tertiary needs. One of the impact of the phenomenon is socio-economic not only in the region of destination but also the abandoned territory. Malang Tenggara is one of the regions experiencing the dynamics of migration phenomena from the 19th century to the present. This research seeks to analyze the socio-economic impact of the in-out migrations occurring in the southeastern Malang in the 19-20 century. The analysis of data on this research uses descriptive historical analysis. The results showed some findings such as; among the 19th century Southeastern Malang is known as non-migration area but this condition changed since the second half of the 20th century, there were changes in ethnic composition in southeastern Malang since the 19th century, in-out migration both 19th century and 20 lead to the change of socio-economic life. The conclusion of this research shows that the differences in and out of migration levels in southeastern Malang become an indicator of weak and strong community ability in the optimization of physical and environmental capital.