bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Design of Smart Library Based on 5G
Authors: Jiahui Li , NingXing Wang , Chao Duan 
Published: August 2020

Abstract
This article takes the “first step” attitude to seize the development opportunities of 5G and its group technology, make full use of the functions of 5G mobile Internet, and promote the application of 5G communication technology in the field of the library. On the basis of designing a three-dimensional real-time book tracking map, etc., the author put forward the concept of a future smart library based on 5G mobile Internet.
Design of People Flow Monitoring System in Public Place based on MD-MCNN
Authors: Tianmin Xiong , Xiaochun Lei , Xingwen Zheng , Junyan Chen , Yizhou Feng 
Published: August 2020

Abstract
Due to the limitation of hardware resources, the traditional people flow monitoring system based on computer vision in public places can’t meet different crowd-scale scenarios. Therefore, a people flow monitoring system based on MD-MCNN algorithm is designed, which is an application system combining the improved SSD object detection algorithm MNSSD and MCNN density map regression algorithm. In the initial stage, the system uses MNSSD for accurate detection and counting. If the people flow gradually reaches a certain threshold, the system automatically uses MCNN to estimate people flow until the people flow falls below the threshold. Through the experimental verification, the system can realize the people flow statistics of low-density and high-density people in different scenarios, and can be applied on the existing embedded platform. This scheme can be extended to smart cities, smart scenic spots, smart transportation and other fields.
Non-uniform Quantization of Soft Information for 5G LDPC Codes
Authors: Chang Xiaohua , Zhang Yu 
Published: August 2020

Abstract
This paper proposes a non-uniform quantization algorithm of soft information based on density evolution for the decoding of low-density parity check (LDPC) codes, which applies a non-linear transform function to soft information, and provides good block error rate performance. The transform function is obtained by minimizing weighted mean square quantization error for every combination of modulation type and LDPC codes and has an analytical expression of distribution of soft information. It can be realized as look-up table via quantization of transform function and has low complexity of implementation. Simulation results show that the error performance of proposed algorithm is close to no quantization condition and has a gain of around 0.3 dB compared to uniform quantization algorithm for 5G’s rate 2/3 LDPC codes with APSK modulation over additive white Gaussian noise (AWGN) channel.
Design of Intelligent Robot Platform based on Multi-sensor Fusion
Authors: Dajin Ya , Xiaochun Lei , Yue Li , Junyan Chen , Rongcun Huang , Lin Lan 
Published: August 2020

Abstract
The mobile robot adapts to the more complicated indoor and outdoor environments, and can expand its scope of application. In order to reduce the influence of the cumulative error caused by navigation in complex environments, the indoor mobile robot that combines Inertial Measurement Unit (IMU) and encoder fusion is designed and implemented. In view of the limitations of the traditional single lidar scheme, a Multi-sensor Fusion scheme is proposed to achieve indoor map construction, path planning, multi-point navigation and other functions, and a MSIF KartoSLAM (Multi-sensor Information Fusion) algorithm is proposed, which combines the KartoSLAM algorithm and Multi-sensor information to achieve map construction in complex environments. Through comprehensive testing in the indoor environment, the results show that the Multi-sensor Fusion scheme is superior to the traditional single lidar scheme, and can achieve higher accuracy in mapping and navigation. At the same time, the robot platform can also be combined with the Internet of Things technology and integrated into intelligent housing system.
Research on Energy Efficiency Optimization of Energy Internet Data Center Based on Intelligent Energy Technology
Authors: Cao Yu , Hao Han-yong 
Published: August 2020

Abstract
With the extensive and in-depth view of the overall situation of energy, energy as an important material basis affects the development and progress of social economy. Through the research on the connotation of energy internet, the development status of distributed generation and the business model of distributed generation, the value sources of distributed generation in energy Internet system are analyzed. The smart energy technology consists of three parts: the energymanagementplatform, the communication system, and the terminal. The characteristics of low-carbonization, flexibility and energy Internet of regional distributed energy systems under the development of energy Internet were analyzed. Research shows that the interaction behavior of multiple subjects in the energy Internet can not only predict the system equilibrium state in advance, but also provide effective feedback for the optimization and improvement of the system operation mechanism.
A Review of Research on Light Visual Perception of Unmanned Surface Vehicles
Authors: Zhang Wei , Yang Chi-fu , Jiang Feng , Gao Xian-zhong , Yang Kai 
Published: August 2020

Abstract
Unmanned surface vehicles have the advantages of maneuverability, concealment, wide activity area and low cost of use. Therefore, they have broad application prospects. This makes unmanned surface vehicles a research hotspot at home and abroad, and the sensing technology is the basis for the unmanned surface vehicles to perform tasks. The perception technology based on optical vision has the advantages of convenient application, relatively low cost, easy data acquisition and large amount of information, and has been widely studied by scholars at home and abroad. This paper mainly discusses the research of optical vision in unmanned surface vehicles from five aspects: Firstly, the water surface image preprocessing based on unmanned surface vehicles, mainly including water surface image defogging enhancement research; second is the use of light vision target detection; the next is the surface target tracking methods. Finally, the light vision research of unmanned surface vehicles is summarized and forecasted.
Degenerate Sklyanin algebras, Askey–Wilson polynomials and Heun operators
Authors: Gaboriaud Julien , Tsujimoto Satoshi , Vinet Luc , Zhedanov Alexei 
Published: August 2020

Abstract
The q-difference equation, the shift and the contiguity relations of the Askey–Wilson polynomials are cast in the framework of the three and four-dimensional degenerate Sklyanin algebras

s
k
a

3

and

s
k
a

4

. It is shown that the q-para Racah polynomials corresponding to a non-conventional truncation of the Askey–Wilson polynomials form a basis for a finite-dimensional representation of

s
k
a

4

. The first order Heun operators defined by a degree raising condition on polynomials are shown to form a five-dimensional vector space that encompasses

s
k
a

4

. The most general quadratic expression in the five basis operators and such that it raises degrees by no more than one is identified with the Heun–Askey–Wilson operator.
An overview of methods for investigation of aeroelastic response on high aspect ratio fixed-winged aircraft
Authors: Ali Khan Muhammad Khizer , Javed Ali , Mumtaz Qadri Nafees , Mansoor Mohtasshim , Mazhar Farrukh 
Published: August 2020

Abstract
The thrust of increasing environmental and economic constraints on aircraft has enthused accelerated research in design of more economical and higher performance aircraft. Extensive experience in aerodynamic has established the use of high aspect ratio wings to improve the lift-to-drag ratio, a key parameter in determination of aircraft efficiency. Application of long slender wings has even more so intensified in the last decade due to emerging need for medium-to-high altitude long endurance (MALE/HALE) unmanned aerial vehicles (UAVs). However, such a wing comes at a trade-off of efficiency and safety. Longer wings tend of be more flexible and easily deform under load, hence are more vulnerable to the detrimental nature of aeroelastic effects. Divergence, control reversal and flutter are some major aeroelastic effects, which range from mere discomfort to complete destruction of body in flight. UAVs are most susceptible to this behaviour as their design incorporates very high aspect ratio wings. Numerous researches are available in literature which have focused on the explanation, calculation, and suppression of aeroelasticity; a subject which is as old as first heavier-than-air flight. This paper has attempted to cover the major aspect of aeroelasticity and summarize the state-of-the-art methods and approaches proposed by esteemed authors in this field for flutter prediction and suppression.
Data based sensing of Shale Oil yield in Oil Shale Retorting process
Authors: Chohan Hasan Qayyum , Ahmad Iftikhar 
Published: August 2020

Abstract
Oil shale is sedimentary organic rocks that are being converted into useful shale oil and shale gas. North American regions, Canada and China are exploring the oil shale reserves to accommodate the depletion of natural oil and gas resources. Oil shale retorting technology is being utilized to convert the shale rocks into shale oil and shale gas. The major product is oil that is further treated to convert it into gaseous form. In this study, machine learning techniques like ensemble learning (least square boosting and bagging) and artificial neural network (ANN) are employed for data sensing of oil shale retorting process and being compared. Data is generated for ensemble models through MATLAB-Excel-Aspen interfacing. The proposed framework shows that ANN provides higher accuracy as compare to other models for oil shale retorting process for efficient oil recovery.
Home Security and Automation Based on Internet of Things: A Comprehensive Review
Authors: Fatima Saman , Aiman Aslam Naila , Tariq Iqra , Ali Nouman 
Published: August 2020

Abstract
The current trends of research are focused on the use of the Internet of Things (IoT) for various real-time applications. IoT is a type of “universal global neural network” and very common because of its benefits in smart application trends over traditional communication trends. Information is now accessible much easily because of the internet and inexpensive. So security and automation become a need of every department and organization. The main objective of this study is to overcome the different face detection approaches in the IoT domain and their application in the automation of smart home devices. However, this review concludes the constraints and gaps of existing published work related to the current topic and point towards feasible future research directions. Furthermore, we have discussed possible challenges of large data processing, as well as communication and automation protocols by applying different sensors, other hardware, and their interoperability. Similarities and differences of various key factors are presented in tables in terms of the proposed model, technology, application, software, user interface, algorithm, hardware, and purpose, etc. In this study, we also discussed the pros and cons of various facial detection approaches and gaps of IoT in home automation. We suppose that this review will be a solid base for future researchers in the field of automation and facial detection in IoT.
Experimental study of railway bridge scouring and proposal of remedial measures-A case study of bridge number 30, Harrow River.
Authors: Sohail Javed Muhammad , Ejaz Naeem 
Published: August 2020

Abstract
Bridges are one of the most integral transportation components for connection of remote parts worldwide. The concern of every engineer is with their stability and collapse. One of the issues with bridge stability is bridge pier scouring in perennial and inundation canals as well as rivers, If not properly monitored and precautionary measures not adopted, it can result into bridge collapse. This paper makes an attempt to study the heavy bridge scouring in Railway Bridge (bridge # 30) on Harrow River located at downstream of Khanpur Dam, Pakistan. The study is carried out experimentally on scaled down model of bridge to study the behavior and patterns of scouring in the river bed during and after floods in two phases including 1) investigating the causes of scouring 2) provision and analysis of suitable remedial measures. The scouring that occurred in lab model matched the field patterns. Baffle walls and weir were provided separately as remedial measure but the former failed under initial watering while weir provided on downstream side reduced scouring by 95%.
Advancement of Inventive Solar Power Based Frameworks for Rural India
Authors: Muraleedharan Pillai Abhilash , Rajesh kanna R. , Raja singh R. 
Published: August 2020

Abstract
The nearness of solar energy at any area in a village or on a farm makes its utilization alluring for such an environment. This paper portrays the advancement and organization of inventive solar power based frameworks for use in rural networks of India. On-going and arranged solar power extends in India are constantly gone for creating plants for network applications. The proposed framework advancement depends on appropriated organization procedure. This methodology utilizes solar power in little units to fulfil a specific requirement for a village, similar to a home in a village, on the farm, or potentially an individual village occupant. Frameworks plans fuse financially savvy, measured, tough, long life, simple to keep up, and advantageous to utilize designs. The procedure proposed for recognizing the assembling configuration is an iterative one. In other words, that at first the model units are conveyed in villages to get input from clients and afterward the plan is changed and reused. The final product of this exertion is the recognizable proof of the last plan and assembling process.
Optimized energy management control over price-responsive demands
Authors: Loganathan N. , Shanmugapriya M. , Logeswaran Dr. T. , Dhanapal M. 
Published: August 2020

AbstractThe fair and efficient allocation for all energy management systems is one of the fundamental principles. In order to achieve optimum efficiency, classic allocation strategies aim to optimize the total surplus of customers. This paper proposes the procurement, storage and selling of energy at appropriate times with a new energy management algorithm. Uncertainty is modeled using PSO optimization techniques in relation to both DER production level and the price of energy obtained from / sold to the main grid. The test results show the advantages of the model in energy management performance for a cluster of cost-effective demands.
Analysis of Back To Back (BTB) Converter Control Strategies in Different Power System Applications
Authors: Pavan Babu Bandla , Indragandhi V 
Published: August 2020

Abstract
Power Quality (PQ) is an important term in many industries and other electrical power consumers. Maintaining of power quality during the operation of industries is an important task as the PQ issues may arise and cause the deviation in normal mode operation. In order to maintain the stability and mitigate the PQ issues, Back to Back (BTB) are mostly used in different power systems majorly in industries. This paper provides a major review on the BTB converters role in different power system configurations which are playing important role in facing the power quality issues such as voltage sags occurred in the system due to any faulty condition or short circuits, harmonic distortions, and some other abnormal conditions. Also in this paper, the various control strategies implemented in the BTB converter at their respective power system configurations are presented which will be helpful in developing the new methods or modifications in using BTB converters for power system applications.
Materials for lightweight electric motors – a review
Authors: Darius Gnanaraj S , Gundabattini Edison , Raja Singh R 
Published: August 2020

Abstract
Electric motors are widely used in automobiles and large electric vehicles would be introduced in market in the near future to reduce global warming. Reduction in electric motor weight also reduces the overall weight of automobiles. The use of fiber-reinforced polymer materials reduces the weight of electric motors. Lightweight electric motors promote energy savings owing to the reduction of self-weight. Researchers all over the World are trying to make all parts of electric motors using lightweight materials. This review paper presents the outcome of research carried out by researchers from Germany and UK. Fiber reinforced plastics (FRP) reduce weight and increase mechanical and electrical properties. Phenolic composite materials gave promising results due to its electrical insulation properties and corrosion resistance. Thermosets do not swell when they are exposed to chemicals unlike thermoplastics. Aluminium matrix composites (AMC) are used to improve the motor efficiency resulting in a considerable weight reduction. Electric motors have 90 percent or above, which means that a high mechanical energy is derived from electrical energy. The remaining electrical energy is converted into heat. To prevent overheating, the heat is conducted through housing to a cooling jacket having cold water. Researchers have replaced the circular wire by rectangular flat wire that can be coiled tightly on the stator. Newer cooling concepts are developed for making housings using polymer materials. Carbon fiber reinforced materials with metal pins are used for reducing weight and to increase thermal conductivity. Use of high modulus fibers increase damping properties and reduce noise produced by electric motors. Comparisons between electric motors made of lightweight materials and traditional metals in terms of weight, efficiency, cooling rate are presented.
SMART WATER GRID: AN IoT FRAMEWORK
Authors: Saravanan D. , Agrawal Aryan , Raja singh R. , Indragandhi V. 
Published: August 2020

Abstract
Water scarcity became most inexorable problem these days. In urban areas most of the people live in flats or apartments where, they need to get water from the corporation and then they ought to supply for each flat and apartment. Supplying water in a normal way arises many technical issues. In this paper, a working prototype is implemented to solve these problems. This model contains one Main water tank and two small sub water tanks. Each node (tank) can function automatically based on the tank and ground water levels or for other problems and also can be controlled manually from the water level through android app anywhere in the world with the help of IOT. As the Indian populace keeps on developing, India’s water infrastructure should be prepared to take care of an expanding water demand while keeping up great resource condition to guarantee good quality of water is provided to customers around the clock.
Harmonic Elimination and dc–link Voltage Balancing in Bipolar Hybrid Microgrid by ILCs: A Review
Authors: Vasantharaj S , Indra Gandhi V 
Published: August 2020

Abstract
In this advanced power system scenario, the bipolar hybrid microgrid application plays a vital role, which owns both DC and AC bus instantaneously. In this grid-connected technology, renewable energy performs a major role in the generation of power demand. Due to the alternating nature of renewable sources, the grid should have stability with different energy sources like battery storage systems, vehicle to grid, etc. Hence, to retain the quality of power supply it is more significant to consider an interlinking bidirectional converter between a source and the grid. The most important indispensable component in the bidirectional link is an AC/DC bidirectional converter. This paper elaborates about the advantages and disadvantages of the prevailing AC/DC bidirectional converter topologies for the advancement in the microgrid applications. These types of three-phase ac/dc bidirectional converters are preferred to reduce the THD content in the grid side, power factor correction, and regulated dc output voltage with unidirectional and bidirectional power flow. The dc-link voltage has balanced at the dc bus with these bidirectional topologies. By use of this bidirectional converter, it has designed to perform various essential applications in the microgrid with the help of space vector modulation.
Dynamic Analysis of Sensorless Controlled Industrial Pump Drive
Authors: Anil Kumar K. , Harshit M. , Raja Singh R. 
Published: August 2020

Abstract
Industrial pumps operating with variable speed provides numerous benefits including valve elimination, wide range of flow rate, single stage higher head and energy saving. The realization of variable speed pump operation is carried out using an induction motor, power electronic switches, current sensors and controller without speed feedback is known as sensorless variable speed control. This paper implements a field-oriented control based sensorless scheme on 150 kW induction motor drive system, which is integrated to centrifugal pump load in Matlab/Simulink environment. The centrifugal pump is modelled mathematically in the same environment for obtaining the identical torque speed characteristics.
Design and implementation of Sun Tracking Solar Panel and Smart Wiping Mechanism using Tinkercad
Authors: Patel Keyur , Borole Sanket , Ramaneti Ketan , Hejib Atharv , Raja Singh R. 
Published: August 2020

Abstract
In today’s times, electricity has become very essential for mankind. Increasing demand for electricity leads to the depletion of the coal and fossil fuel available to humans. As fossil fuels are bound to get exhausted and also not being a clean source of energy is another added disadvantage. In this era of enormous energy demand, wide research and development of renewable sources of energy is mandatory. The use of solar energy can be advantageous to great extent. To make most of the power from photovoltaic cells, development should focus on getting greater efficiencies using Solar panel arrays. Dust on the surface of the panel and varying intensity of the sunlight contributes to a significant amount for reduction in efficiency. In this paper, an integrated solution for both the dust accumulation problem and the sun’s continuous movement has been proposed, which leads to an increase in the efficiency of the panel. The consequences of dust and intensity of sunshine on the efficiencies of the Photo-voltaic panels are highlighted. The paper gives a brief description of the planning and construction of microcontroller-based cleaning and tracking system. The solution proposed is visualized in Tinkercad, which is an online simulator to design CAD models and electronic circuits. The designed model is practically implemented as a hardware prototype for validation.