bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Document Image Dataset for Quality Assessment
Authors: Li Zhenghao , Yang Cihui , Shen Qingyun , Wen Shiping 
Published: March 2021

Abstract
Mobile device plays an very important role in capturing document image. However, the quality of the captured image is influenced by many factors, such as device quality and shooting conditions. In this context, it is necessary to automatically assess the quality of captured document image. Although there has a lot of work in the filed of image quality assessment (IQA), insufficient attention has been paid to the establishment of document images dataset. Thus, we propose a large dataset of document images containing 19,943 images which are collected by mobile devices. During the process of image acquisition, many factors such as light intensity, distortion type, document material are considered. After capturing images, multiple volunteers participated in the evaluation and collection of Mean Opinion Score (MOS) of the document images. We use two no-reference image quality assessment algorithms to test the proposed dataset. The experimental results show the validity of our dataset and the reliability of MOS. The proposed dataset can be used in the field of image quality assessment and Optical Character Recognition.
Fast Semantic Segmentation Model PULNet and Lawn Boundary Detection Method
Authors: Li Xiaoxia , Chen Jingjing , Ye Yuanzheng , Wang Shunli , Wang Xueyuan 
Published: March 2021

Abstract
To quickly and accurately identify the lawn area and boundary positions of different scenes, environments, and seasons, we propose a new semantic segmentation model PULNet and lawn boundary detection methods. Firstly, the ResNet50 network is improved to expand its effective receptive field, a Pooling pyramid (P) and an Upsampling dimensionality reduction structure (U) is constructed based on the Dilated_ResNet50 network. Secondly, a fast and accurate PULNet semantic segmentation network is proposed integrating the image Local detail information structure (L). Finally, an Eight-neighbor coding method is designed to accurately locate the border of the lawn. Experiments on the ADE20K dataset obtained the mean Intersection over Union (mIoU) and mean Pixel Accuracy (mPA) 32.86% and 75.65% respectively. The average speed is 82.7 frames per second on a platform with GTX 1080Ti GPU. Compared with the Fully Convolutional Network (FCN) the mIoU and mPA are increased by 3.47% and 4.33% respectively, and the speed is 11 times higher. The proposed method can be used for fast and accurate lawn semantic segmentation and boundary detection.
Research on Android Multi-classification Based on Text
Authors: Zhang Hua , Qin Jiawei , Wang Yan , Ma Yuan , Yao Li , Lei Jun 
Published: March 2021

Abstract
In recent years, more and more malicious applications have appeared on mobile application platforms, and they are often disguised as social, communication, and game applications. If we classify applications by category when detecting malware, which can improve the accuracy of malware detection. Classification of applications’ categories requires a large number of high-quality samples, but labels of applications’ categories are vary widely in different app stores, and samples of the same function type cannot be obtained quickly and efficiently. This thesis proposes a method for constructing a multi-classification model by using the text content of application description information, and guiding the classification of application by the category of application description. This method collects the description of an application in different app stores, predicts the category of the description through the classification model, and obtains the application category by voting. The model is based on CNN and RNN, and its F1-score is about 3% higher than the text classification model such as textCNN, LSTM. Its training prediction time and memory consumption are only 6% higher than that of textCNN and LSTM models. We named it CRNN, this thesis constructs a data set that can be used for application classification. The data set is classified using application description to obtain each application description and its category.
Stock Price Prediction Based on an Energy-Efficient Spiking-LSTM Hardware Accelerator
Authors: Wu Yuancong , Liu Y , Chen T P 
Published: March 2021

Abstract
Inspired by the way the human brain thinks, the neuromorphic system applies the principles of biological brains to computer architecture, providing low-energy, distributed, and massively parallel advantages for brain-inspired systems. This work presents an energy-efficient spiking long short-term memory (sLSTM) neural network hardware accelerator for sequence prediction applications, containing 256 neurons and 64k synapses in 0.96 mm
2 area. The sLSTM model can process time-dependent data and realize long-term and short-term memory to forget, memorize selectively. A leaky integrate and fire (LIF) neuron model is proposed to characterize the stimulation of neuronal membrane potentials using simple digital logic circuit without any multipliers, which extremely reduces the power consumption of the hardware system. Accordingly, the chip achieved an energy efficiency of 10.3 uj@50 MHz per sample and a predicting accuracy of about 93.2% in sLSTM neural network model using the stock price of Google from Yahoo finance, based on the modified LIF neuron.
Multi-objective Route Planning of Museum Guide based on an Improved NSGA-II Algorithm
Authors: Xu Yuhan , Guo Qing , Tan Aopin , Xu Liying , Tu Yiwei , Liu Shuang 
Published: March 2021

Abstract
Museums have become a hot spot of tourism. However, the uneven distribution of passenger flow makes it difficult for tourists to find out the shortest and most comfortable tour route. The multi-objective route planning strategy is proposed for the design of museum tour route. This paper presents an improved version of the NSGA-II algorithm, named adaptive 2-opt_integerated non-dominated sorting genetic (AONSGA) algorithm. Based on NSGA-II algorithm, the adaptive probability and 2-opt local search strategy is introduced. Then the computation results on benchmark multi-objective problems show that the AONSGA algorithm has better convergence and diversity performance than the NSGA-II. Whereafter, taking the Palace Museum as an example, a map is established and AONSGA is applied to carry out multi-objective guide route planning. Finally, according to different requirements of tourists, three kinds of specific schemes of the guide route in the Palace Museum are recommended.
An Adaptive Synchronverter for Ensuring Fault Ride Through Capability of Grid-Connected Solar Power System
Authors: Yap Kah Yung , Sarimuthu Charles R. , Lim Joanne Mun-Yee 
Published: March 2021

Abstract
In recent years, the grid-connected solar power system has grown tremendously because of its cost-effectiveness and environmental friendliness. However, its interface to the existing power grid introduces frequency and voltage instability due to its lack of rotating mass and inertia response, unlike a conventional synchronous machine. To alleviate the limitations, a novel adaptive synchronverter is proposed to equip with fault ride through in a grid-connected solar power system. It enables continuous electricity generation even under overloading, voltage sag or short circuit fault. MATLAB®/Simulink simulations are conducted, and it is validated by emulated hardware by Typhoon® Hardware-in-the-loop (HIL) 402 real-time simulation. The results validated that the fault ride through capability enables the synchronverter to stay connected in short periods of lower electric network voltage.
Smoothing of Power Consumption in Air Conditioning Systems with Ice Storage: A Receding-Horizon Optimization Approach
Authors: Hu Wenbo , Guo Song , Huo Weiqiang , Cui Cui , Feng Pengpai , Li Wenqing , Zhu Liangliang 
Published: March 2021

Abstract
The peak of power load brings great challenges to the safety, stability, and economical operation of the modern power system. Building air conditioning refrigeration is one of the main reasons for the peak load. In this paper, we make use of an ice storage tank to smooth the air conditioning load as far as possible so as to achieve the purpose of peak filling. A mathematical model of quadratic programming is established to characterize the trade-off between the lowest energy storage cost and smoothness via a receding-horizon optimization approach. Numerical examples are given to analyze the relationship between ice storage cost and peak filling effect.
Applying the Method of Categorical Analysis for Conceptual Design of an Automated Control System of a Group of Unmanned Aerial Vehicles
Authors: Nikiforov A , Kliushnikov I 
Published: March 2021

Abstract
Conceptual design of automated control systems (ACS) is an important stage in their development and making. The miscalculations admitted during this stage, as a rule, couldn’t be compensated for in the subsequent stages of the project. At the same time, despite the great importance of this stage, nowadays there is no well-developed theory of conceptual design for ACS making and improvement. In generally, it all comes down to either using the prototype, or the talent and insight of the designer. In this article an attempt was made to develop a methodology for the conceptual design of ACS. A template for creating parametric concept of ACS with its subsequent detail through the use of the method of the categorical analysis is proposed. A method allows to form a fairly complete information space of control, taking into account all possible information interactions between groups of parameters based on the generated sequence of categorical subsets of the control process with their subsequent interpretation is described. An example of method using is demonstrated for development of the ACS concept by a group of unmanned aerial vehicles. A constructive scheme of control information, including data groups and relationships between them, is considered. An interpretation of categorical subsets, an example of detailing and data of the state of the control object and the definition of some information transformation procedures for one of the formed subsets are proposed.
Construction Automatic Positioning System of a Moving Object Based on the Readings of Bluetooth Beacons and Modified Multelateration Method
Authors: Astafiev Alexandr , Zhiznyakov Arcady , Demidov Anton , Makarov Mikhail 
Published: March 2021

Abstract
The article discusses the solution to the problem positioning a movable mobile object in a controlled area. The proposed solution is based on the construction of a sensor network from Bluetooth Low Energy radio beacons in the controlled area. The interaction of the mobile device and the sensor network is proposed to be carried out via a Bluetooth communication channel of specification not lower than 5.0 by obtaining the values of the RSSI signal levels of each radio beacon. The room has its own absolute coordinate plane. According to the multilateration method, each triplet of beacons forms its own relative coordinate plane. The developed algorithm also considers the issue of converting relative coordinates to absolute ones. At the end of the study, a description is given of an experimental study on positioning a mobile phone in a 5 by 10-meter room.
Modulated Mathematical Formulation of MSE for Assessment of a Positioning System in Live-status
Authors: baidhani Abbas Al 
Published: March 2021

Abstract
In wireless sensor network (WSN), It is a substantial affair to obtain a convenient assessment metric for evaluating created positioning systems. Mean square error (MSE) is one of very paramount assessment metrics utilized for such problem. The conventional mathematical formula of MSE such as the built in MSE function in matlab is utilized only when the real and measured values of the position are available, which means utilizing the MSE is potential only after building the system not while building it. In this paper, for positioning purpose, we offer a mathematical derivation of an MSE formulation based on least square (LS) approach for three-dimensional positioning system without utilizing the real and measured position. The created MSE uses only the measured distance between anchor nodes and a mobile station, that needs its position to be calculated. The formed MSE has the ability to assess a positioning system online based only on the estimated distances, and then the user can modulate his system until obtaining a system ambidextrous to match the requested positioning accuracy. The derived MSE has accuracy 100 % equals to the conventional mathematical formulation such as the built in matlab MSE function.
Validation of An Elbow Position Super-Twisting Sliding-Mode Controller for Upper-Limb Exosuit Using A Soft Position Sensor
Authors: Pont-Esteban D , Contreras-González A F , Samper-Escudero J L , Sáez-Sáez F J , Ferre M , Sánchez-Urán M á 
Published: March 2021

Abstract
Flexible exoskeletons, also known as exosuits, are robotic wearable devices intended to help healthy and unhealthy subjects in different tasks, such as daily life activities, load lifting or rehabilitation. A position control is required to assure stability and compliance in all assisted movements. In this paper, the authors propose the use of a flexible position sensor based on differential capacitance measurement as position feedback for the elbow joint in the flexible exoskeleton LUXBIT. This exosuit is controlled in position by a super-twisting sliding mode controller (SMC), which is robust against disturbances. Different movements involved in rehabilitation therapies are performed over three healthy subjects in order to evaluate the exosuit performance using this motion sensor. The measures given by the flexible sensor are compared to the ones obtained by OptiTrack motion capture system, which are used as ground truth.
Application of Supply Chain Management at Drugs Flow in an Italian Hospital District
Authors: Improta Giovanni , Scala Arianna , Trunfio Teresa Angela , Guizzi Guido 
Published: March 2021

Abstract
The globalization has pushed to change the organization of every companies, even the hospitals. The principal phenomenon in that period and fundamental today again, has been the Supply Chain Management (SCM), with which the company is no longer seen as an isolated entity but active part in an extremely complex supply network. In fact, the only way to guarantee the competitiveness of businesses in the new world economy is through the cooperation and the integration between customers and suppliers. The present work analyses the drugs flow of three Italian hospital: the Cardarelli Hospital in Campobasso, the Veneziale located in Isernia and the San Timoteo site in Termoli. The data was provided by MOLISE DATA SPA that collected the information from all ASREM with particular interest in the already mentioned hospitals. Particularly, will be highlight, using simulation model, the benefits deriving from the implementation of a new Supply Chain, creating a collaboration along the entire logistics-production chain. Thanks to a more efficient management of drugs will get a reduction of business costs and an improvement of the health services offered.
An Innovative Business Model for a Multi-echelon Supply Chain Inventory Management Pattern
Authors: Cesarelli G , Scala A , Vecchione D , Ponsiglione AM , Guizzi G 
Published: March 2021

Abstract
Nowadays, companies are experimenting novel organizational solutions to efficiently operate in uncertain and highly dynamic scenarios. As a potential solution, this paper proposes a new business model for a multi-echelon Supply Chain inventory management pattern. Specifically, an inventory model with proactive lateral transshipments was developed and subsequently tested carrying out 288 experiments with the aim of assessing transshipments impact on the performance of a two-echelon Supply Chain. The final goal was to investigate the potential reduction of the overall cost of the enterprise and, conversely, whether this approach could promote significant improvements in the level of service, achievable through a more efficient management of resources. The analyses and simulations indicate the use of large batches and/or low-cost products did not demand the necessity of transshipment events. These preliminary findings could be potentially validated and tested in the future considering more complex networks or multiple products.
Optical Transmission Network Evolution Scheme of VC-OTN
Authors: Qiang Hao , Tu Mingliang , Che Yue , Tang Xianfeng 
Published: March 2021

Abstract
With the evolution of operator network, the optical transmission network (OTN) technology which integrates the cross-function of Virtual Container (VC) has become a hot research topic. In this paper, the application scheme of VC-OTN technology including network structure planning, network evolution steps and protection scheme in transmission network is proposed. The pilot project proves that the proposed scheme can significantly guide the operator network construction.
Joint DBF and SAO Parallel Filtering Based on Multithread Load Balancing
Authors: Ma Hao , Hu Dong , Li Yi 
Published: March 2021

Abstract
This paper presents a joint parallel loop filtering algorithm based on multi-thread load balancing in HEVC decoding, which implements the parallel processing of deblocking filtering (DBF) and sample adaptive compensation (SAO). Because of the diversity of video, the texture of different regions in an image is also different, which leads to various CTU partition methods. Therefore, the number of the boundary to be filtered is greatly different, resulting the computation load among multiple threads unbalanced in parallel processing. To solve this problem, an area division scheme is proposed, which divides the image into multiple areas, and the number of boundaries to be filtered in each area is similar. Then, the mapping relationship table is used to allocate these areas to multiple threads for parallel processing, so as to achieve the load balancing among the filtering threads. Finally, the cache technology is used to combine DBF and SAO to reduce the delay between them and improve the overall parallelism of the loop filter. Experimental results show that the performance of the proposed load balancing joint filtering algorithm is 8.15% higher than the previous scheme.
Ranging-Measurements-Based Maneuver Detection Method for Space Target Tracking
Authors: Li Zhao , Wang Yidi , Zheng Wei 
Published: March 2021

Abstract
Maneuver detection is crucial to improve the performance of space target tracking. A real-time maneuver detection method based on ranging measurements is proposed in this paper. The prediction residual of ranging measurement is selected as the test statistics. Then the maneuver and the outliers can be distinguished by setting multiple hypothesis tests. The traditional strong tracking filters can be improved by applied this detection method. The superiority of the proposed method is verified by a simulation case. Simulation results demonstrate that the new method can provide higher tracking accuracy than the traditional methods when the maneuver and the outliers both exist, and the maneuver and the outliers can be detected exactly.
Physical World to Virtual Reality – Motion Capture Technology in Dance Creation
Authors: Zhen Wu , Luan Lian 
Published: March 2021

Abstract
After more than 100 years of development, motion capture technology has been advanced greatly. In the initial stage, the motion capture technology was only capable of capturing a rough range of body movements. But now it is sensitive enough to capture the movement of the whole body. Motion capture technology has also been developed into different types: optical and non-optical systems including inertial, magnetic, and mechanical. There are also hybrid and depth sensing camera-based systems. Nowadays, with the combination of the technology and arts, computer software and internet technology have become a new territory for dance performance. Motion capture plays an increasingly important role in dance creation. Meanwhile, the combination of motion capture and virtual reality technology enables the audience to freely choose different viewing angles and moving positions in a totally virtual space, which can present stronger sense of tension and cultivate more immersive experience than live dance performances do. On the Internet, virtual reality dance theaters connect dance performers and audiences from different geographical spaces. The virtual reality dance heaters build up virtual performance venues, paralleling with the real theater performance in the physical world.
Using CNN to Predict the Resolution Status of Bug Reports
Authors: Arshad Muhammad Ali , Zhiqiu Huang 
Published: March 2021

Abstract
Bug tracking systems (BTS) are a resource for receiving bug reports that help to improve software applications. They usually contain reports reported by the end-users or developers. Bug Reports contain some suggestions, complaints, etc. The problem is that every submitted bug report is not accepted to implement. Mostly bug reports are rejected because they are incomplete, duplicate, expired, etc. while only a few are accepted to implement. But the developers have to check every bug report manually that needs many resources (i.e. labour, money, time). In this study, we proposed a convolutional neural network (CNN) based approach to automatically classify bug reports as accepted and rejected. Results show that the proposed approach achieves the highest performance as compared to closely related works.
Security Issues in Multi-hop Device-to-device Communication Networks - Secure Routing Protocols Solution
Authors: Lv Yimin 
Published: March 2021

Abstract
As one of the key technologies of fifth-generation mobile communication, device-to-device communication technology can not only realize direct communication between neighboring devices, but also reduce the delay of local services provided to users and increase the communication rate. Nevertheless, the special structure of the device-to-device communication network makes it more vulnerable to attacks from inside and outside the network. This paper summarizes the security issues faced by device-to-device communication networks, analysis the secure routing designed for different types of attacks, and discusses future research directions.
Support Outsourcing Unsigncryption and Member Revocation Identity-based Proxy Signcryption Scheme with Drone Environment
Authors: Yang Xiaodong , Xi Wanting , Ren Ningning , Wang Jiaqi , Li Meijuan 
Published: March 2021

Abstract
The identity-based signcryption scheme combines the advantages of the signcryption scheme and the identity-based cryption scheme, which has high calculation and communication efficiency and easy key management. In order to effectively solve the problems of high latency and data information privacy during the secure transmission of drone data to cloud servers, we propose an identity-based proxy signcryption scheme that supports outsourcing decryption and member revocation. The complex bilinear pairing calculation is outsourced to the cloud server to reduce the user’s computing overhead. When an illegal user wants to access the data, the illegal user’s identity value ID will be put into the revocation list and the update private key algorithm is executed to generate an update password for the unrevoked user Key, revoked users lose the ability to decrypt because they cannot obtain the updated key that matches them. The identity-based signcryption scheme protected by the proxy can satisfy unforgeability and forward security. Finally, the comparison results show that this solution is superior to previous work in terms of function and calculation time.