bluuebunny/crossref_metadata_2025 huggingface dataset:
Predicting Supervised Machine Learning Performances for Sentiment Analysis Using Contextual Based Approaches
Authors: Lakshmi Venkata S , Janan K , Joshua Joseph P S , Sharoz Mohammed
Published: May 2021

The fundamental thought of our methodology is to inspire client inclinations communicated in text-based audits, an issue known as opinion investigation, and guide such inclinations onto some evaluating scales that can be perceived by existing CF calculations. One significant errand in our rating deduction system is the assurance of wistful directions PSWAM and qualities of assessment words. It is because surmising a rating from an audit is chiefly done by separating assessment words in the survey, and afterward accumulating the PSWAM of such words to decide the predominant or normal notion inferred by the client. We played out some primer examination on film audits to research how PSWAM and qualities of assessment words can be resolved and proposed a relative-a recurrence-based technique for performing such assignments. The proposed technique tends to a significant impediment of existing strategies by permitting comparative words to have distinctive PSWAM. We additionally created and assessed a model of the proposed structure. Fundamental outcomes approved the viability of different assignments in the proposed system and suggested that the process doesn’t rely on a large preparation corpus for working. An accelerated algorithm based on the Naïve Bayes approach is used to solve the PSWAM and a parallel algorithm based on FISTA is incorporated to further improve the efficiency. The result is a graph representing opinion target and opinion word candidates before and after extraction further helping users simplify the task of analysis.
Modified Zeta Converter Based On ANFIS Controller Using MPPT PV System
Authors: Jonnalagadda Venkatesh , Sugavanam K R , Mohanasundaram K , Kuppuswamy C L , Bhukya Ramu , Kadali Kalyan Sagar
Published: May 2021

In this paper, the photo volatic (PV) renewable energy is fed to load demand using Modified ZETA converter with ANFIS logic controller. Nowadays, renewables have become a blooming market. These are the main sources of energy that exist in the natural environment. It is a clean alternative to fossil fuels. Therefore the application of power electronics to the wind power generation region has become critical. Converters and inverters are the primary method used to produce such renewable resources, quickly and effectively implemented. The ANFIS controller for the SEPIC converter that interfaced between inverter and source, keeps constant voltage during variable load situation and depicted in a small steady error and a small overflow. The design and analysis of PV based modified ZETA converter is explained and the results are verified using MATLAB/Simulink.
Voice Activated Face Recognition based Smart Support System
Authors: Yuvaraj N , Sanjeev M , Jenifa G , Preethaa K R Sri
Published: May 2021

Voice assistants usually respond to voice commands and provide the user with specific details about his question. Currently, voice assistants can process product orders, answer questions, perform tasks such as playing music, or initiate a quick phone call with a friend. For voice assistants, the long-term goal is to serve as a smart bridge between humans and the immense information and capabilities delivered by the Internet. Taking away the need to use some gadget or screen to communicate in various locations with the internet, technology or other humans. This paper deals with such a voice assistance for schedule maintenance for individual which starts with the face recognition. Once a person enters the classroom / office, their face is captured and the face identification is done. If the identified person is the authorised one, then the system responds with a greeting message. When the person starts to ask about the schedule to the system, it responds with the schedule of the day of that identified person. In case of emergency schedules like meetings, the intimation is sent to the user as a message to alert him/her.
An Effective Dementia Diagnosis System using Machine Learning Techniques
Authors: Priyanka G , Thulasi Priya R , Vasunthra S
Published: May 2021

Dementia being a major cause of creating dependency among aged people also has an inevitable impact on people suffering from it and the families around them. Since the symptoms are gradual and may overlap, diagnosing dementia and identifying its type is risky. The main purpose is to develop a machine learning-based method in diagnosing dementia using the dataset obtained from OASIS. Algorithms such as Support Vector Machine, AdaBoost, K-Nearest Neighbors, Random forest, Linear Discriminant Analysis, XgBoost algorithms are used to find accuracy, recall, and confusion matrix. Implementation of the following algorithms provides accuracy in the range of 83 to 90 percent. SVM provides 87%, KNN gives out accuracy of 84%, LDA gives an accuracy of 83%, Random forest gives an accuracy of 88%, AdaBoost gives 81% and XgBoost gives 90%. XGBoost shows more accuracy than other algorithms.
An Effective Identification of Food Adulteration Using IoT
Authors: Deepiga M , Gopika shree S , Jagadesh V , Jai Kumar R , Venkatesh T
Published: May 2021

To protect fish and seafood from microbial spoilage, Some fishermen and fish vendors immorally use chemicals. An effort was made to detect formalin through our system in wet seafood markets. We get into recent formalin-based studies, then we efficiently develop this project. The emission of gas mostly from fish harmed by formalin can be detected by our device. The values identified by the gas sensors can be changed in the smartphone app using Blynk. The mobile computer is connected to the PC’s hotspot where the arduino IDE has been mounted. Via the arduino IDE, the blynk program gets the values from the sensor and tests with restrictions. We may therefore achieve the optimum solution and be mindful of the fish affected by formalin.
Fuzzy Techniques to Verify A Person’s Identification Using the X-Ray Images
Authors: Ponprakash N , Radhakrishnan K , Manesh M , Suganya T
Published: May 2021

Biometric x-rays are a means of testing the physical properties of an individual to check their identity. There are anatomical attributes, such as eyes or traits of behavior, fingerprints and a special path to authentication. In this article, the use of a deep neural network with fuzzy clustering is proposed as a new approach for forensic radiography based human authentication. A complex, convolutionary neural architecture is used to derive features of hand x-rays and for the detection of fluid clusters. Our experiment demonstrates that hand x-rays provide fingerprint information to identify individuals. That laboratory analysis shows that the proposed solution is much better than previously existing authentication schemes with hand X-rays.
Advanced Hyperchoatic Image Encryption Technic with DNA Sequence
Authors: Karpagam M , Shyam Kumar M , Sowmiya M , Monikavishnuvarthini A
Published: May 2021

As the development of computer usage increases the need for security also increases as it had changed from entertainment based to high confidential files maintaining medium. So, there was a great improvement in the field of cryptography for data transfer and these are basically text and so they are more simple to process when compared to higher level of files like image and vide. This lead to the need for encryption methods for fast and secure techniques to avoid quality and quantity of high speed encrypted data files.. There are lots of highly secure cryptographic methods but they need to be compatible with image for processing. So the project goes along with a technic called hyper chaotic encryption technique with DNA sequence for hybrid image cryptography.
Analysis and Prediction of Epilepsy Using Heart Rate by Application of Ensemble Learning and Linear Regression
Authors: Ganesh Kumar D. , Raaghavi S. , Pavithra S. , Gokul S. , Anto Pravin C.
Published: May 2021

In the existing methods the epilepsy was analysed using the PPG, EEG, ECG. The output obtained from the two different signals were analysed and found that the signal obtained while using ECG wearable sensor was more accurate and reliable when compared to the result obtained while using PPG. The main drawback while using EEG signal is the placement of wet scalp electrodes. Hence heart rate is used to analyse epilepsy in the proposed methodin order to obtain accurate and reliable result. In this method analysing the heart rate signal of the patient and epilepsy death rate prediction are two main goals of the project. The biomedical sensors and wearable sensors currently available in the market was studied. Sensors like EEG, ECG, PPG characteristics, and their working were studied completely. In this paper, we have not used any biomedical sensors or wearable sensors. For the heart rate signal, the dataset from the “fitbase” website was collected. Heart rate data collection per minute average heartbeat of the person. heart rate signal data length was 12,000 But only 90 samples were used for ensemble averaging. Not only the heart rate of the signal the epilepsy was also focussed. The epilepsy death rate data from the Statista. Epilepsy data contains year and death for future prediction; a linear regression algorithm was used.
An Efficient Real Time Face Expression Identification System Using SVM
Authors: Balamurugan A , Suganya B
Published: May 2021

Real-time emotion detection and recognition system (REDRS) has been rapidly grown in the current era, especially in human-computer interaction and artificial intelligence field. The mutual interaction of human-computer like service-based sectors including online classrooms, e-business, banking services, robotic automation, and others to utilize the growing technology for the base analysis i.e. tracing the human face recognition for the state of the receiver to adapt the strategy that useful for growing sectors. However, the robust emotional identification of the facial emotions from the images and videos residues a big challenging task because of the accuracy of the emotional features. These features can sometimes represented in several forms, like point-based geometric, static, dynamic, or region-based appearance. Changes of facial features like feature position and shape movements are usually affected by the changes of facial elements and muscles during the expression of emotion. Trying to predict an individual’s spirit during a spoken form, usually requires decoding his/her face. Repeatedly, body language and particularly facial expressions, speak quiet words about the state of mind of a person. The proposed paper focuses on experimenting with a person’s countenance and classifying the mood of the person.
Research status of optical fiber voltage transformer
Authors: Zhao Yonghui , Wang Liming , Zhou Yang
Published: May 2021

Optical fiber voltage transformer (OVT) has the advantages of good insulation, bandwidth, and small size, and has good development prospects and application requirements. Through combing and analysis, the article summarizes the development and changes in the past ten years from the four parts of sensing probe, sensing fiber, optical information extraction and light source according to the basic principles of the OVT measurement system, analyzes the potential development direction, and finally discusses The main problems encountered in the current OVT research, and some suggestions have been put forward.
Research on Active Power Filter Based on Linear Active Disturbance Rejection Control
Authors: Zhou Gaohan , Xiong Hejin , Yin Zidong
Published: May 2021

In view of the key technology of active power filter (compensating current tracking control) to solve the harmonic problem of power system, the traditional PID control has defects and is divorced from the engineering practice. However, ADRC inherits the advantages of PID control and modern control theory. Without knowing the specific mathematical model of the object and the specific form of the external disturbance, it can compensate the internal disturbance while suppressing the external disturbance. It has strong robustness and adaptability. However, the traditional nonlinear auto-disturbance rejection technology has too many parameters, which hinders its wide application. Therefore, we introduce linear auto-disturbance rejection technology and design a current tracking control system of active power filter based on linear auto-disturbance rejection, which makes the control performance of active power filter more ideal and more widely used. Simulation experiments verify the feasibility of the study.
A Comprehensive Evaluation Model for Microgrid with CCHP
Authors: Yuan Shuangchen , Wu Zhijia , Yan Long
Published: May 2021

Microgrid with multi-energy complementarity is of significance to improve energy utilization efficiency and achieve sustainable development. The combined cooling, heating and power(CCHP) system can output electricity, heat energy and cold energy, and are widely used in microgrid. The popularity of CCHP in microgrid brings great challenges to the evaluation of microgrid. In this paper, a comprehensive evaluation model for microgrid with CCHP is proposed. The model can reflect the characteristics of microgrid with CCHP from five aspects, economy, environmental protection, reliability, energy efficiency and technicality. Then the combined ANP and entropy weight method is proposed to solve the evaluation model. In a numerical test, by comparison with different schemes of microgrid, the proposed evaluation model and method prove to be effective.
An emergency control strategy considering variable frequency air conditioning load
Authors: Yan Hanzhe
Published: May 2021

As a high-quality flexible load, variable frequency air conditioning load has the potential to respond quickly to emergency control without significantly negative impact on users. This paper presents an emergency control strategy considering aggregated variable frequency air conditioning load. First, the operation principle of air conditioning is introduced, and a single air conditioning model is established. On this basis, the two control methods are compared and analyzed, and the impact of location on emergency control strategy is considered. The effectiveness of the emergency control strategy is verified by an example simulation.
Stability enhancement of top-gate self-aligned tin-doped indium gallium oxide thin film transistor by low temperature annealing
Authors: Zhuo Yi , Wu Weihua , Liu Zhaosong , Hsu Yuan-Jun , Zhang Shengdong
Published: May 2021

Top-gate self-aligned IGTO TFTs were used as an example to study the contradiction of uniformity and PBTS stability when developing TFT with high mobility. High intrinsic carrier concentration restricted the tuning of SiO2 deposition. To ensure the uniformity, relatively higher power was employed for GI deposition to reduce donor-type oxygen vacancies. Deep electron traps formed by excess oxygen lead to poor PBTS stability. The PBTS stability was improved without deterioration of uniformity by introducing low temperature (200 °C) annealing, to control hydrogen diffusion from ILD layer which would passivate the electron traps.
A New Dynamic Simulation Test Method of Intelligent Electricity Metering System
Authors: Xue Yang , Song Runan , Yang Yining , Wang Cong , Yang Liu
Published: May 2021

Electricity metering is the core supporting technology for realizing accurate perception of electricity consumption, reasonable dispatching of power grids, rapid market response, diversified charging and new forms of electricity marketing. However, due to the significant differences in the actual metering environment, the operation of the electricity metering and information collection system is unstable, showing many problems such as unsuccessful parameter delivery and low acquisition success rate, which severely restricts the development of smart grid two-way interactive technology and the realization of smart electricity consumption in the last mile. There is an urgent need for a reliable and accurate dynamic simulation and systematic testing method to realize the reproduction and testing of various field faults. In this paper, we propose a new type of dynamic simulation test method for intelligent electricity metering system, which can realize the performance test, fault dynamic simulation, location and recovery of each functional unit of the master station, collection terminal and smart meter. Through experimental testing, our dynamic simulation test methods can realize the rapid recurrence of on-site problems, improve the high reliability and normal operation of the electric energy metering information collection system.
Fully-integrated DCDC buck converter based on PID algorithm
Authors: Yang Zijiang , Jia Chenqiang , Liu Huimin
Published: May 2021

With the continuous development of power supply technology, the application of power management chips becomes more extensive, and the requirements for fully integrated power management chips are getting higher. This paper designs a buck converter with a fully integrated digital control circuit and power circuit with an output voltage of 2V. In voltage mode, digital pulse width modulation (DPWM) technology and PID algorithm are used, and a digital closed-loop control buck circuit system is designed by cadence tools. The performance of analog and digital closed-loop control circuits is compared at the same buck power stage. Under rated load conditions, the lock-up time of the digital control buck circuit is 826us, the output voltage ripple is 14.75mV, the response time of load sudden change at light load is about 900us, and the response time of load sudden change at heavy load is about 2ms.
Simulation and comparison of distributed target detectors in compound Gaussian background
Authors: Huang Xiaodong , Jian Tao , He Jia , Tong Zhuo
Published: May 2021

In the non Gaussian background modelled by compound Gaussian distribution, a variety of distributed target detectors are addressed. Firstly, the detection statistics of different detectors are given. Then, the detection performance of five detectors is compared when the non Gaussian clutter covariance matrix is known. Secondly, when the non Gaussian clutter covariance matrix is unknown, a two-step architecture is adopted. Based on the same estimation method for non-Gaussian clutter covariance matrix structure, seven adaptive distributed target detectors are introduced and compared. Finally, through comparative analyses, the applicable conditions and application range of different detectors are summarized, which provide a theoretical reference for the practical application of radar target detection.
Research on anti-jamming and anti-interception performance of MC-CDMA system based on Code-Hopping
Authors: Wei Hong , Xu Li , Tao Jing
Published: May 2021

In the wireless channel environment, there are all kinds of jamming. With the wide application of OFDM Technology in wireless communication system, the technology of signal analysis is becoming more and more mature. Pure OFDM signal exposed in the wireless channel is no longer safe, facing the risk of jamming and interception, especially in the military field. Multi-carrier Code Division Multiple Access (MC-CDMA) technology is what combines the characteristics of OFDM and CDMA. It has the advantages of OFDM system and CDMA system at the same time. It reduces the transmission rate and improves the reliability. Compared with OFDM system, MC-CDMA has better BER performance in the same SNR environment. Based on the single user MC-CDMA system, the system model and simulation analysis are carried out, and the performance comparison with OFDM system is carried out. Based on the above work, the theory of code hopping spread spectrum is introduced to design a new code hopping spread spectrum system based on MC-CDMA, and the anti-jamming and anti interception performance of the system is analyzed.
Application of 5G in Electric Power Inspection UAV
Authors: Li Haoyang
Published: May 2021

At present, under the background of the social development of the increasing popularity of 5G technology, the automatic inspection of power lines through 5G UAV has become an inevitable demand for the development of smart grid. 5G has brought advanced technical advantages to the power inspection UAV, overcoming the difficulties in flight environment, data transmission and image analysis. The use of 5G UAV realizes the intelligent panoramic operation of power inspection and is an important means to ensure the reliable operation of power grid. However, due to the constraints of relevant factors, the use of 5G inspection UAV is both challenging and imperative in the future. This paper mainly introduces the basic meaning and advantages of 5G technology and UAV, compares and analyzes the differences between manual inspection, traditional UAV and 5G UAV in power inspection, discusses the technical advantages of 5G UAV, and combines with application cases to prospect the development prospect and trend of 5G UAV inspection.
A Lightweight Secure Access Protocol for Collecting Terminals in Power Internet of Things based on Symmetric Cryptographic Algorithm
Authors: Zhao Yingjie , Zhai Feng , Liang Xiaobing , Miao Siwei , Zhu Yayun
Published: May 2021

In the development of Power Internet of Things, the types and number of terminals accessing to the power grid information network are growing rapidly, and the demand for identity authentication for master station and terminal is also increasing. This paper analyzes the characteristics and security access requirements of Power Internet of Things, then designs a security access protocol based on symmetric cryptographic algorithm for meters with limited manufacturing cost, computing power and storage resources. This protocol only uses the symmetric cipher algorithm with high computing speed and low resource consumption, which can realize the two-way identity authentication between the meter and the master station and update the session key for meter and master station based on the random initial value of the counter to establish a secure transmission channel. Finally, compared with other protocols, the proposed protocol is also effective in security and performance.
Miniaturized dual-bandpass filter based on dual-mode ring and CPW feeding
Authors: Li Shu Lun , Zang Pu Yang , Wang Peng Cheng
Published: May 2021

In this paper, a miniaturized dual-bandpass filter based on dual-mode ring and coplanar waveguide (CPW) feeding is proposed. The filter is composed of two square dual-mode rings embedded with each other, and the inner ring adopts an arrow structure to realize capacitance loading to achieve miniaturization. Compared with the parallel coupling feeding structure, the CPW feeding method has design structure flexibility and better electrical performance. The designed dual-band filter is fabricated and measured to validate the present approach.
Research and Application of Intelligent Street Lamp Platform Based on Ubiquitous Internet of Things
Authors: Zhou Baozhu , Liu Yuheng , Xie Yu , Wang Junpeng , Hao Zeqi , Meng Jian
Published: May 2021

In order to meet the needs of smart cities for intelligent infrastructure, the intelligent street lamp platform is developed based on ubiquitous Internet of Things. This paper introduces the structure and application scenarios of the platform in detail. It provides solutions for communication support, IoT management and people’s livelihood services. The platform has been put into use in the Italian style district of Tianjin, which has considerable economic and social benefits.
22nm FDSOI SRAM single event upset simulation analysis
Authors: Yuan Jingshuang , Zhao Yuanfu , Wang Liang , Li Tongde , Sui Chenglong
Published: May 2021

This article uses Sentaurus TCAD to establish the 3D device model of NMOS and PMOS under the 22nm FDSOI process, and establishes the 3D model of the 22nm FDSOI SRAM cell through this model. This model is used to numerically simulate the single event upset LET threshold of the 22nm FDSOI SRAM cell. The effects of different LET values and different incident conditions on the single event upset of a 22nm FDSOI SRAM cell are compared. The results show that whether the 22nm FDSOI SRAM cell is single event inversion depends on the transient current peak value generated after heavy ion incidence. For the 22nm FDSOI SRAM cell, the critical current peak value is about 0.011mA. Comparing the single event inversion thresholds at different incident positions, it is found that compared to the center of the channel, when a single event is incident on the channel-drain PN junction of an off-state N-type FDSOI device, the SRAM cell is more prone to single event inversion.
Automatic classification model of semi-structured HTML text data based on State Grid cloud architecture
Authors: Zhang Enjie , Zhang Zhidong , Yan Long , Li Da
Published: May 2021

Regarding the construction of the “State Grid Cloud” platform, various businesses of the power grid have their own Wed systems. The data between different websites is scattered and the coupling between resources is low, which can easily form the problem of information islands. This paper is oriented to the semi-structured HTML text data in web pages under the State Grid cloud architecture platform, and uses the Python-based Scrapy framework to collect semi-structured power data information from various power business websites. We propose a semi-structured text data classification model based on BIGRU neural network and Bayesian classifier. BIGRU neural network is used to extract text features, Bayesian classifier is used for classification, and the TF-TDF algorithm is used to assign weights to improve the traditional recurrent neural network model with many parameters and long training model time. We use this method to simulate the semi-structured HTML text data of the State Grid, and conduct a comparative experiment with the traditional neural network model. The experimental results show that the classification algorithm can effectively improve the efficiency and accuracy of power semi-structured text data classification.
GPU based multi-scale depth map calculation for 3D reconstruction
Authors: Wu Tiansheng , Wang Hui , Wang Yanling , Liang Min , Li Jie
Published: May 2021

When using multi-view stereo (MVS) method to calculate depth map for reconstructing dense 3D model, the model precision is often influenced by low-texture areas. To solve this problem, in this paper, we present an efficient multi-scale depth map based MVS method. First, the coarsest scale depth map is calculated which can easily capture the rich texture information in low-texture areas. Then we upsample this depth map to higher scale, and four forward-backward reprojections are used to reduce the error of depth difference between the last scale and the current scale. In addition, a GPU and CPU based cooperative optimization architecture is built to optimize and accelerate depth map computation in Patch Match (PM) stage. Experimental results show that, the proposed method can reconstruct quite accurate and dense point clouds compared to state-of-the-art methods.
Study on Shortwave Signal Coverage Based on ITU-R P.533 Model
Authors: He Jialuan , Xing Zirui , Wu Feihong
Published: May 2021

In this paper, the short-wave signal propagation modeling, short-wave electromagnetic environment simulation modeling, short-wave electromagnetic environment level evaluation modeling, simulation modeling of receiving antenna commonly used in short wave and other contents are studied in depth, in terms of short-wave electromagnetic environment and antenna simulation simulation. A more complete propagation model of short-wave signal, simulation model of short-wave electromagnetic environment, evaluation model of short-wave electromagnetic environment level and simulation model of receiving antenna commonly used in short-wave are established. Finally, the effectiveness of each model is verified by repeated comparative tests and experiments.
An auxiliary system for rehabilitation training
Authors: Liu Xuehua , Lin Zhenkun , Lin Zhencheng
Published: May 2021

In this paper, aiming at the problem of sports injury in squatting, the development of squatting training assistant system based on MPU9250 is proposed and designed. The system uses embedded technology, through the cloud architecture of recurrent neural network to analyze data, realize the monitoring of squat training, return the results to the mobile APP end, realize the correction and guidance of each action, and display the user’s rehabilitation in real time. Through the system test, the results show that the system has the characteristics of stable performance, accurate detection, convenient and portable.
Realization of Future Car Sharing Speed Safety System Based on Internet of Vehicles
Authors: Chen Min , Fu Jiang , Zhang Jigui , Ma Jianjun , Wang Yi
Published: May 2021

In the future, cars will integrate the advantages of intelligent network technology on the basis of car networking applications formed by car bus technology, communication technology, and Internet technology, and be equipped with safer, smarter and more comfortable car control systems. Based on the Internet of Vehicles technology, this paper proposes a car sharing speed safety system, analyzes its structure, composition and working principle, and expounds the advantages of the application of the system in the Internet of Vehicles technology. The application of the shared speed safety system will play a good supporting role in the unmanned driving, peer optimization and safe driving of future cars.
Study on the Path Planning Algorithm Based on Dueling Deep Q Network
Authors: Cao Jingwei , Zhao Shancheng , Guo Caiqin , Hu Youtao , Gao Qianxu , Shen Fengjun , Ye Yujie , Zhang Yong
Published: May 2021

In traditional path planning methods based on Deep Q-Network (DQN) algorithm for mobile robots, the target Q value was usually obtained by a greedy algorithm, and the estimation of Q value was usually high, which would result in slow training speed of the algorithm. To solve this problem, a Dueling DQN algorithm based on Dueling network was proposed in this paper, which was mainly realized by the structure optimization of neural network. The initial algorithm structure was divided into two states and a higher return is obtained through competitive comparison. Then, the long training time and slow speed convergence problem could be effectively solved than the traditional DQN. The simulation results show that the DQN algorithm based on Dueling DQN has high efficiency in Q value obtaining. Compared with the traditional DQN method, it has the better anti-interference ability and decision-making ability, less training time, and stable convergence.
Random access conflict resolution of preamble waiting list based Game-theory
Authors: Yin Lu , Sun Shihua , Deng Zhongliang , Wang Ziyang , Jiang Tianrun
Published: May 2021

With the development of mobile communication network, Internet of things and communication base station, super reliable transmission of communication signal and super anti-interference ability, mobile communication technology has been popularized in various industries, and a large number of products have emerged in communication technology and related applications. However, the increase in the number of products has caused a huge load to the mobile base station. The limited access resources of mobile base station also bring high access delay and high access conflict risk to access equipment. Random access is the first step of equipment access to mobile communication network. It can reasonably allocate access resources in the process of random access, which will effectively control the access conflict in the process of large-scale equipment access. Based on this, this paper proposes a solution to the random access conflict of packet preamble based on waiting queue list. The scheme introduces ACB(Access Class Barring) access factor for different types of access devices At the same time, the preamble resources are grouped to reduce the load of single base station. The access probability of different demand types of equipment is continuously balanced by game model, which reduces the access probability of non-demand equipment and improves the access probability of demand equipment. Considering the conflict of retransmission waiting time and retransmission success probability in random access process, and the waste of access resources in mobile communication system, a preamble waiting queue list mechanism is proposed. This mechanism can reduce the repeated access and retransmission waiting of access devices by reasonably scheduling them to a high idle waiting queue The resulting access delay improves the access efficiency of the device, reduces the resource idle degree of the mobile communication system, and improves the resource utilization rate.
Research on the Positioning of AGV Based on Lidar
Authors: Liu Yuheng , Piao Yan , Zhang Luyuan
Published: May 2021

The rapid development of the e-commerce industry has led to the transformation of the logistics industry from labor-intensive to technology-intensive. The intelligent management system has gradually eliminated the past manual operation methods. AGV (automated guided vehicle, AGV) robot is an indispensable equipment in modern intelligent production and enterprise warehousing logistics systems. In order to improve the positioning performance of the AGV robot to a certain extent, this paper proposes an optimized AMCL (Adaptive Monte Carlo Localization) positioning algorithm based on EKF data processing. First, input the odometer and IMU data into the EKF model for fusion, then the fused state is used as the motion model of the positioning algorithm to predict the pose of the particle set and assist the particle update. The AMCL output after weighted average processing is used as the initial value of scan matching. By constructing a matching function model of lidar observation points and a priori map, using Gauss Newton’s method to optimize the solution, the accuracy has been improved.
Research on the Coverage Optimization of 5G mm Wave
Authors: Gong Yuanjia , Zhang Wei , Zhang Chong
Published: May 2021

This article introduces the evolution of 5G millimeter wave (mm Wave) standard, analyzes the major technical advantages and summarizes three typical application scenarios, then puts forward the optimization strategy of 5G mm Wave coverage capability, and finally forecasts the evolution direction of technology and products.
Research on Ant Colony Algorithm for Location Planning of Distribution Center
Authors: Teng Fei , Xinxin Wu , Jiajia Bai , Peng Wang
Published: May 2021

The location of logistics center is affected by many factors. And it is an urgent problem to optimize the location selection and obtain the accurate location selection. Based on fully considering the actual distribution center planning problems, this paper introduces the problem of distribution center location planning model building and the steps of ant colony algorithm implementation. Then a large number of experimental simulations are used for instance verification to prove the rationality and effectiveness of the proposed ant colony algorithm to solve the distribution center allocation problem.
Improved Artificial Bee Colony Algorithm Based on Cauchy OBL
Authors: Ren Zuochen , Zhang Liyi , Tang Jinyan , Liu Ting
Published: May 2021

Artificial bee colony algorithm is a competitive swarm optimization algorithm for many optimization problems. However, traditional artificial bee colony algorithms often have the problems of insufficient development performance, easy to fall into local optimization and slow convergence. In order to overcome this defect, this paper introduces Cauchy OBL into artificial bee colony algorithm, and proposes an artificial bee colony algorithm based on Cauchy OBL. In the initialization stage, the algorithm uses the Cauchy OBL group to compete with the traditional initial group, selects excellent individuals to form an improved initial group, and improves the quality and diversity of the population; in the neighborhood search stage, the Cauchy OBL process is added to improve the global exploration ability of the algorithm. At the same time, in order to speed up the convergence speed, the global optimal solution and multi-dimensional update strategy are introduced. The simulation results show that the improved algorithm is easy to jump out of the local optimization and has higher search accuracy and faster convergence speed.
Evaluation Metrics for Personalized Recommendation Systems
Authors: Jiang Shuhao , Song Jinlin
Published: May 2021

This paper summarizes and reviews the latest research progress on the evaluation metrics of the recommendation system, expounds from multiple perspectives such as accuracy, diversity, novelty, and conducts an in-depth analysis of their respective advantages and disadvantages and applicable environments, focuses on the three levels of recommended diversity and evaluation criteria, and makes predictions on the development direction of the evaluation metrics of the recommendation system.
Research on Continuous Signal Mask Separation in Satellite Communication
Authors: Jing Zeng , Zhang Gengxin , Liu Ziwei
Published: May 2021

With the rapid development of communication technology, satellite communication has been very popular in our life. However, due to the openness of satellite communication channel, the communication security has been a hot topic. The large signal masking technology is a potential solution to improve the safety of satellite communications in recent years. To achieve this technique, an efficient and reliable signal separation method must be supplemented at the receiver. Based on existing methods, there are problems of low accuracy of parameter estimation and complex estimation process. The improved scheme introduces the Amplitude and Phase Estimation(APES) based parameter estimation procedure, and proposes a new scheme consisting of APES algorithm, Costas loop and Least Mean Square (LMS) adaptive filter. Compared with existing methods, the simulation results show that the proposed method can achieve mask signal separation successfully, and can achieve better separation performance.
The Effect of Bio and Mineral Fertilizers on Growth and Yield of Wheat (Triticum estivum L.)
Authors: kadhum A. A. , Alobaidy B. Sh. J. , Al-joboory W.
Published: May 2021

A field experiment was conducted at the college of Agriculture – university of Anbar during the winter season of 2018-2019 using complete randomized blocks design (RCBD) to investigate effects of bio-fertilizer (BF) and different rates of mineral fertilizers (MF) from fertilizer recommendation (FR) on the growth and yield of wheat (IBAA cultivar). The growth and yield traits consisted of plant height (PLH), number of tillers (NT), number of spike (NS), number of grains per spike (NGPS), weight of 1000 grains (WG), biological yield (BY), and grains yield (GY). Treatments consisted of: control T0 (without BF and MF); BF (T1); 100% of FR (T2); BF+25% of FR (T3); BF+50%FR (T4); BF+100% FR (T5). Results indicated that the treatment of adding biological fertilizer with 100% mineral fertilizer(T5) was superior in most of the studied characteristics except for the total number of organisms in the soil. The fertilization treatment (T4) did not differ significantly from treatment (T5) in most of the characteristics included in the study except that increasing of microorganisms in the soil. Thus, 50% of the mineral fertilizer can be substituted with the biological fertilizer to reduce the risk of contamination and reduce the cost of mineral fertilizer.
Improving The Quality of Ground Water in Some Areas of Al-Anbar Governorate by Recharging with Rainwater
Authors: Khudair M. Y. , Alyassein R. N. , Jasim F. M.
Published: May 2021

Artificial groundwater recharged with rainwater is the most popular technique for groundwater quality and quantity. Nevertheless, it is still a challenge for researchers to provide precise quantification of groundwater quality and quantity enhancement by recharging with rainwater due to variations in groundwater quality factors such as topography, hydrogeological phenomenon, availability of rainwater, land use pattern, etc. An attempt is being made here to extract the improvement of groundwater quality by adding the collected rainwater of known quality parameters into the developed aquifer strata in the laboratory with regulated laboratory setup and under similar conditions to the aquifer area of analysis. The results showed a decrease in the pH at all sites, especially A1, where it decreased from 8.2 to 7.3. As for Total Dissolved Solids (TDS), the results showed a decrease in all sites, especially A1, where it decreased from (2860 to 2390) mg\lit. Also, for CL-, the greatest decline was in A1, falling from (2.400 to 205) mg \lit. As for the EC values, the site A2 was the lowest, dropping from )5.6 to 4.29 mS/cm). Regarding hardness, the best result was in site B1, where the decrease was from (286 to 220) mg\lit and finally nitrate experienced the greatest decrease in site B2, where it was from (122 to 78) mg\lit.
Effect of Sewage Sludge on Heavy Metals Accumulation in Soil and Wheat, Mung Bean and Quinoa Crops
Authors: Salim S. A. , Al-Hadiethy I. K. H. , Abed I. A. , AlKubaisy S. A.
Published: May 2021

This study was conducted to study the effects of sewage sludge application to agricultural soil on the heavy metal accumulation in soil and plant and on availability of certain nutrients for plant together with the productivity of wheat, mung bean, and quinoa. The experiment were included four treatments i.e., (Control; inorganic fertilizer according to Ministry of Agriculture-Iraq.; sludge (the amount of sludge containing MoAR recommendation) of N without any addition of mineral N; and twice the amount of sludge without any addition of mineral N) with four replications in the feed crop studies station of the Ministry of Agriculture - Haditha agriculture division located in the village of Sakran (Hasweh Al-Jazeera) of Haditha district 260 km west of Baghdad during the seasons 2017-2018.2019. The applied sludge was described and soil was analyzed prior to cultivation. Upon harvesting, the heavy metals (Cd, Pb, Ni and Cr) were estimated in soil and plant in addition to certain nutrients (Total N, mineral N, available P, macronutrients) and organic matter. About heavy metal in soil and plant, significant buildup of the heavy metal in soil and plant was noticed by increasing the addition of sludge as compared to the control. Significant increase in organic matter and total N of soil in sludge-fertilized treatment was noticed as compared to the control. Moreover, a significant increase in mineral N, available P, Cu, Mn and Zn was also noticed by increasing the addition of sludge. There was significant increasing in plant productivity for various crops during the seasons by increasing the addition of sludge as compared to the control.
Effect of Both Soil Improvements and Irrigation Levels on Potato Productions
Authors: Al-Jawadi L. M. , Hassan H. M.
Published: May 2021

This study dealt with the effect of the irrigation water quantity added at the irrigation levels I1 and I2 (100 and 50% of available water and the effect of correlation between the polymer and animal amendments added to the soil on the potato crop. Result showed that the plant properties were impacted by the irrigation level I1 compared to the level I2. The values of site 2 were superior over the values of site 1 in terms of the plant height, number of stems, dry root weight, average weigh of the tuber and the yield of each plant. The interference treatment P3O2 of the irrigation level I1 achieved the best values for the two sites, in addition to the positive role played by the soil improvements (polymer and animal amendments), which meliorated the values of porosity, infiltration, increased water retention by soil and decreased the bulk density. In addition to that, there is an evident effect of the irrigation level I1 and the interference amongst the levels P3O2, P2O2 and P3O1 on the total number of the tubers and the total production in comparison to their counterparts at the irrigation level I2. The treatment P3O2 achieved the best results in terms of the number of tubers and the total production at the irrigation level I2 for both sites whereas the effect of I1 irrigation level with the animal amendments was clear in terms of number of the big tubers and big-size production. The interference between the polymer and the animal amendments at the I1 level, showed a clear superiority in terms of tubers number and the productivity as small tubers for planting and the interference treatment P3O2 recorded the highest results at the irrigation level for both of the two sites.
A novel and Rapid Method for Detecting Bio-fungicide Properties in Plant Species
Authors: Theer R. M. , Alheeti A. A. , Alfalahi A. O.
Published: May 2021

Searching for eco- friendly bio-fungicides have become promising strategy to confront the resistance phenomenon against synthetic fungicides in pathogenic fungi. Unlike the previously described techniques to survey the plants for their secondary toxic metabolites against fungi, a novel technique reported here. The new technique designing on using a detached leaf bioassay and inoculum of Macrophomina phaseolina, the charcoal rot pathogen of sesame. Of an eleven different plant species belong to different families examined with this technique only one species (Giradol, Chrozophora tinctoria of Euphorbiaceae) showed no response to Macrophomina phaseolina inoculation on detached leaf even with wounding. The aseptic aqueously extracted leaf of the Giradol inhibited the growth of the Macrophomina phaseolina by 90% on potato dextrose agar media. This technique is relatively easy, fast and enabling to evaluate for bio- fungicidal existence in several species of plant at the same time.
Evaluation of the Performance of ImageJ, Leaf Doctor Applications, and Visual Assessments in Measuring Severity of Two Leaf Spot Diseases
Authors: Alheeti A. A. M. , Farhan M. A. , Al-Saad L. A. , Theer R. M.
Published: May 2021

In this research, reliability for disease severity assessment was compared for two different digital imaging quantifying techniques (ImageJ and Leaf Doctor applications) and visual assessments included ImageJ (IJ), Leaf Doctor (LD) applications, and visual assessments (VA) for the downy mildew of lettuce and Cercospora leaf spot of chard. Samples of infected chard leaves with symptoms of Cercospora leaf spot disease and lettuce leaves with symptoms of downy mildew were randomly collected from a field and a grocery in Al Anbar Governorate, Iraq. Each leaf was shot with iPhone 8 plus, provided with Dual 12 MP Camera, f1. 8, 28mm (wide), and f 2.8 (telephoto). The percentage of the diseased tissue of each shot was subjected to visual analysis and the ImageJ (IJ), Leaf Doctor (LD) applications. The measurements for them were subject to statistical analyses. Generally the results revealed a compatibility in the performance of the evaluated methods for the both diseases. There was positive and significant correlation coefficients between the measurement results of the VA and the LD for the downy mildew of lettuce (r= 0.664 ) and the Cercospora leaf spot of chard (r = 0.8990 ). Regarding the correlation between the IJ measurements and that of either VA or the LD revealed to be weak for both diseases. There were also linear regressions obtained only between the VA and the LD measurements (R2 = 0.441 for downy mildew and R2 = 0. 809 for Cercospora leaf spot). The results of other experiment indicated positive correlation coefficients between the upper and lower disease severity measurements regardless the assessments methods for both diseases. The highest correlation coefficients and linear regression were found for the AV measurements (r =0. 936, R2 = 0.876 and r = 0.996, R2 = 0. 992 for lettuce and chard respectively) followed by that of the LD (r = 0.908, R2 = 0.824 and r = 0.835, R2 = 0.697 for lettuce and chard respectively). This research indicates that the LD application is easier, faster and more reliable and accurate for disease severity measurements regardless the disease and its severity.