bluuebunny/crossref_metadata_2025_split huggingface dataset:
Indentation creep of superelastic hard carbon
Authors: Chernogorova O P , Drozdova E I , Lukina I N 
Published: January 2020

Abstract
Instrumented indentation methods have been used to study the effect of the loading rate and holding time at different maximum loads on the indentation characteristics of superelastic hard carbon particles reinforcing metal matrix composite materials. The properties of the carbon particles prepared in fullerite-metal powder mixtures by high-pressure synthesis substantially differ as a function of synthesis parameters (P, T) and the initial fullerite characteristics (C60 in crystalline or amorphous state). The indentation creep C
IT decreases with increasing F
max (500-2000 mN) and increases with holding time (60-600 s). The harder carbon particles formed from amorphous fullerite are characterized by higher indentation creep CIT and deeper penetration at constant load. Such creep behavior correlates with different elastic recovery characteristics of the particles upon indentation.
Observatory case study on total harmonic distortion in current at laboratory and office building
Authors: Mohd Radzi M Z , Azizan M M , Ismail B 
Published: January 2020

Abstract
This paper discusses the level of harmonic distortion in current power distribution system for laboratory and office building. These two places often house a significant number of equipment such as computers, air conditioners, etc which are significant nonlinear loads. The high number of these nonlinear loads affects the quality of the power system and energy at the linked grid. This is due to harmonics components in current that is resulted by the conversion and switching processes by the nonlinear loads. This case study is located at main operation buildings at School of Electrical System Engineering, Universiti Malaysia Perlis at Pauh Putra Campus. This case study is intended to study the severance level of harmonics in current distortions at the said power distribution system. The tool used for data mining and analysis is the Fluke 1750, which records the data for 30 days. The analysis includes the level of harmonics in current at the point of common coupling at the power distribution system. It is benchmarked against relevant standards related to harmonics in current and power quality in grid. It is found that the harmonic distortion level exceeded the maximum value set by standards. This highlighted that the quality of power at this grid is low and results in losses of energy
Transient stability for IEEE 14 bus power system using power world simulator
Authors: Anuar Aminudin , Wahab M A A , Arshad S N M , Romli M I F , Bakar A H A , Bakar M A A 
Published: January 2020

Abstract
Nowadays, demand for electricity is increasing every single day. This is due to the deep requirements in current economy. Generating electricity is an important element to ensuring a system operates in good condition and not being affected. At the same time, some problems have arisen as a phenomenon of transient stability. Hence, analysis needs to be done to control energy stability in rivalling current demand. Power system stability can be further divided into 3 sub-analysis starting with rotor angle stability which is the ability of synchronous machines of an interconnected power system to remain in synchronism after being subjected to a disturbance, voltage stability which is the ability of a power system to maintain steady voltages at all buses in the system after being subjected to a disturbance and also frequency stability which the ability of a power system to maintain steady frequency following a severe system disturbance resulting in a significant imbalance between generation and load. This analysis is used the IEEE Bus System 14 and analyzed using Power World Simulator (PWS) software. The variations in power angle, bus voltage and system frequency were studied with the help of three-phase balanced fault. Fast fault clearing times were analysed for a three-phase balanced fault in order to re-establish the stability of the system. Furthermore, impact of fault location on system was also computed to observe whether it affected the stability of the systems.
Maximum efficiency scheme using superimposed and Taguchi method wireless charging for mobile phone
Authors: Hanif M H M , Fahmi M I , Wai C L , Aihsan M Z , Aminudin Anuar , Zhe L W , Zakariya MZ 
Published: January 2020

Abstract
The magnetic resonance inductive coupling energy transfer from transmitter to receiver is designed in this project through magnetic inductive coupling. The transmitter sends energy through induction to the electrical devices from the transmitter to the receiver and then stores the energy in the batteries. Because the transmitter coil has a gap with the receiver coil. This wireless charging using two methods to show the output, first using the Taguchi Method and second using Superimposed Technique. The Result shows that output voltage must high than the input voltage and the same at secondary coil because using the same number of turns. The output voltage at the voltage regulator shows the output must in 5 Volts to charging the mobile phone with high efficiency.
THD analysis for symmetrical five level and seven level cascaded multilevel inverter
Authors: Kaja Mohideen Fahimah , Ashbahani Mohamad Kajaan Nor , Mat Isa Zainuddin , Mohd Nayan Norkharziana , Hafiz Arshad Mohd , Shema Saad Saidatul 
Published: January 2020

Abstract
Total Harmonic Distortion (THD) is one of the problems in the multilevel inverter. This paper discussed a brief review of THD in different cascaded H-bridge multilevel inverter topologies of five levels and seven levels at the output waveforms. The five levels inverter contains eight switches while seven levels inverter used twelve switches. Each single H-bridge inverter circuit is fed by equally independent DC source for both inverters. The inverter uses MOSFET as the switching point and acts as the controller for a fundamental switching operation. The switching value has been set at the gating block to control the operation of the MOSFET switching. Several waveforms and simulation findings are provided to validate the quality of the proposed topology.
Identification of aircraft aerodynamic derivatives based on photogrammetry and computational fluid dynamics
Authors: Aati S , Nejim S 
Published: January 2020

Abstract
Nowadays, Computational Fluid Dynamic (CFD) analysis is one of the most affordable techniques to determine the aerodynamic characteristics of an aircraft. It allows a development of advanced flight controllers. However, the accuracy of this technique depends on the input parameters such as the solid model. This paper describes a methodology to estimate aerodynamic derivatives of a Cessna 182 aircraft based on solid model established by using photogrammetry technique. 312 images have been taken using Canon D750 camera with a 24 mm lens. A dense point cloud of the aircraft was generated using MicMac photogrammetry software. Then, the aircraft 3D-geometry was extracted in order to create the CAD model. Afterwards, parameters such as lift and drag coefficients were estimated at different angles of attack using Ansys Fluent software. The simulation results show that the lift and drag increase up to stall angle, then the lift starts to decrease. These results matches the theoretical ones.
An experimental work on effect of bending down conductor with reinforced concrete
Authors: Ariffen A M , Arshad S N M , Ab Kadir M Z A , Jasni J , Halim N. H 
Published: January 2020

Abstract
Down conductor is one of the pivotal parts of the Lightning Protection System (LPS) that diverting the lightning current captured by the air termination system to the earth termination system in each protected structure. A straight down conductor, is ideally suited for the best-case scenario regarding reliability and safety protection. One to aesthetical aspects, down conductor is undesirably bent in most current buildings. However, only the primary bare type of a down conductor is undergone such process, and bent at a certain degree which depending on the structure itself. Hence, this study is to investigate the bending degree effect on down conductors, by looking at breakdown voltage around the bent area with the presence of concrete wall and reinforcement bar. This experimental work conducted on a reduced scale of reinforced concrete which tested with high impulse voltage. It was determined that the bending down conductors has a significant effect on the bent (vertex) area with the interaction of concrete wall and reinforcement bar.
The simulation analysis of piezoelectric transducer with multi-array configuration
Authors: Ahmad Kamil Zainal Abidin Nik , Mohd Nayan Norkharziana , Azizan M M , Ali Azuwa , Hussin Nuriziani , Azli N A , Nordin N M 
Published: January 2020

Abstract
Low frequency energy harvesting using piezoelectric is one of promising method on harvesting energy from a free source. This method offered powering low load and remote device application. However, due to its nature which is inconsistency in providing the magnitude of input, specifically in low frequency harvesting, better solution to stable up and increase the converted output is explored widely. There are a few parameter that influences in the piezoelectric output generation. These parameter includes the type of piezoelectric, piezoelectric array configuration, AC-DC converter and etc. The types of the piezoelectric used in this project are the circular piezoelectric. When there is a force (motion) exerted on the piezoelectric disk, electrical charge was produced which initiated the energy conversion. In this research, the configuration of array connection for piezoelectric were investigated. The system is tested with different load configuration in a range of 10 kΩ to 1 MΩ. The design and development of the piezoelectric array variant were series (S), parallel(P), series parallel (SP) and parallel-series (PS). The observation emphasized on finding the best types of piezoelectric array configuration in producing optimum output of the harvested power. The simulation part consists of designing, simulating and analysing the result are done by using PSIM software. For validation of the simulation result, the implementation design of the hardware prototype that supplies pressure to piezoelectric have been done. In conclusion, a proper implementation of piezoelectric array configuration will produce optimum power output which can fulfil the minimum requirement of energy for powering low load device.
Photovoltaic powered DC-DC boost converter based on PID controller for battery charging system
Authors: Irwanto M , Leow W Z , Ismail B , Baharudin N H , Juliangga R , Alam H , Masri M 
Published: January 2020

Abstract
The input voltage of battery charging system is always above the battery nominal voltage and it should be remained constant. But it depends on the type of input voltage sources. A battery charged directly by photovoltaic (PV) module as the input voltage source can cause the output voltage of PV module or the input voltage of battery charging system can fluctuate, because the output voltage of PV module depends on the solar irradiance. This problem can be solved by installing DC-DC boost converter between the PV module and battery. This paper presents a DC-DC boost converter based on PID controller for battery charging system. It is designed for the input voltage of 12V and output voltage of 14.7V system because it is applied to charge a 12 V, 7 Ah lead acid battery. Based on the simulation result of battery charging system shows that the output voltage of DC-DC boost converter can be remain around 14.7 V. It is due to the PID controller can damp the voltage oscillation and remain its steady state voltage. The time needed by the DC-DC boost converter to charge the battery in the fully charging condition is 1 hour: 3 minutes: 37seconds.
Arduino based voice controlled wheelchair
Authors: Kian Hou Tan , Yagasena  , Chelladurai  
Published: January 2020

Abstract
A voice controlled wheelchair prototype was developed using a commercially available manual wheelchair to assist people with both upper and lower limb disabilities. An Arduino microcontroller processes the voice command from the speech recognition module and controls the motor movement of the wheelchair. Bluetooth module was also used to do away with messy wiring and an optional joystick command was also incorporated into the prototype design. The success rate of the wheelchair to recognize the voice commands in English, Chinese and Malay was high. The overall cost of the prototype was kept low to make it affordable.
Disorder detection of tomato plant(solanum lycopersicum) using IoT and machine learning
Authors: Khan Saiqa , Narvekar Meera 
Published: January 2020

Abstract
India is an agricultural country and this sector accounts for 18 percent of India’s GDP. This sector is the backbone of the country and focuses on better yield by using pesticides and fertilizers to prevent plant disorders which directly affects the yield. The primary method adopted for detecting disorders is through visual observation and other methods are quite expensive. Many authors have proposed solutions to this problem such as IoT for grapes, or system designed for accurate disorder detection using machine learning with limited scope. This paper showcases a prototype that uses multi-modal analysis through sensor data, computer vision. The main objective of this system is to accurately detect disorders in tomato plant using IoT, Machine Learning, Cloud Computing, and Image Processing.
Reluctant IFS ideals of BCI-algebras
Authors: Balamurugan M. , Balasubramanian G. , Loganathan K. , Thamaraikannan N. , Ragavan C. 
Published: January 2020

Abstract
The notions of reluctant IF soft BCI-algebras (RIF SBCIAs) and reluctant IF soft ideals (RIF SIDs) are investigated. We will also establish relations between them with different examples.
Electrical Consumption Patterns through Machine Learning
Authors: Viloria Amelec , Senior Naveda Alexa , Hernández Palma Hugo , Niebles Núñez William , Niebles Núñez Leonardo 
Published: January 2020

Abstract
Electricity distribution companies have been incorporating new technologies that allow them to obtain complete information in real time about their customers´ consumption. Thus, a new concept called “Smart Metering” has been adopted, giving way to new types of meters that interact in an interconnected system. This will allow to make data analysis, accurate forecasts and detecting consumption patterns that will be relevant for the decision-making process. This research focuses on discovering common patterns among customers from data collected by smart meters.
Method for Collecting Relevant Topics from Twitter supported by Big Data
Authors: Silva Jesús , Senior Naveda Alexa , Gamboa Suarez Ramiro , Hernández Palma Hugo , Niebles Núñez William 
Published: January 2020

Abstract
There is a fast increase of information and data generation in virtual environments due to microblogging sites such as Twitter, a social network that produces an average of 8, 000 tweets per second, and up to 550 million tweets per day. That’s why this and many other social networks are overloaded with content, making it difficult for users to identify information topics because of the large number of tweets related to different issues. Due to the uncertainty that harms users who created the content, this study proposes a method for inferring the most representative topics that occurred in a time period of 1 day through the selection of user profiles who are experts in sports and politics. It is calculated considering the number of times this topic was mentioned by experts in their timelines. This experiment included a dataset extracted from Twitter, which contains 10, 750 tweets related to sports and 8, 758 tweets related to politics. All tweets were obtained from user timelines selected by the researchers, who were considered experts in their respective subjects due to the content of their tweets. The results show that the effective selection of users, together with the index of relevance implemented for the topics, can help to more easily find important topics in both sport and politics.
A Comparative Study of Blockchain Consensus Algorithms
Authors: Wang Qianwen , Huang Jiehua , Wang Shen , Chen Yibo , Zhang Pan , He Li 
Published: January 2020

Abstract
A blockchain is a decentralized distributed public database. It does not have a central authority to maintain this public database by running a cryptographic protocol with distributed nodes. Bitcoin is currently the hottest item in the blockchain, and the Bitcoin node can verify the transaction content and package it into the block. The blockchain guarantees the consistency of the books through the underlying consensus agreement. These consensus algorithms are different because the algorithm security assumptions are different from the actual requirements. This paper sorts and compares various blockchain consensus algorithms, sorts out the development based on blockchain consensus, and points out the advantages and disadvantages of various algorithms, and proposes the development direction of blockchain consensus algorithm.

CCS Concepts

•Anonymity and privacy issues and measures to enhance them➝Consensus protocols for blockchains
A Rapid Road Image Mosaic Method Based on Monocular Camera
Authors: Li Wunan , Cao Yu 
Published: January 2020

Abstract
As an important infrastructure, road has attracted a lot of attentions in recent years. Most of current road information extraction methods rely on either elaborate algorithms or complex equipment. This manuscript proposes a simple and rapid image mosaic method to extract road surface based on a monocular camera. First, key frames are extracted to remove redundant information from image sequences. To eliminate perspective effect, extracted key frames are transformed into top view of road images based on inverse perspective mapping algorithm with the help of an attitude tensor. Then, a coarse-to-fine registration strategy is proposed to align all transformed key frames into a unified coordinate system. Finally, considering the specificity of transformed images, a superposing and overlapping image fusion strategy is proposed to alleviate the effect of stitching seam. The experiments are conducted on a road with the size of 128×17 meters, and the experimental results demonstrate the effectiveness and efficiency of proposed method. In conclusion, the proposed method is simple, effective and efficient and can be applied in a wide range of applications such as large scale road surface diagnose.
Person Recognition Based on FaceNet under Simulated Prosthetic Vision
Authors: Zhao Ying , Yu AiPing , Xu DanTong 
Published: January 2020

Abstract
Face information is important information for identifying people, but at low resolution, face information is not well recognized. A psychological physics experiment of person recognition in daily life was designed to discover the best strategy for the limited number of stimulating electrodes, and provide useful visual information. The real-time image-processing strategy based on FaceNet were used to optimize the person information by turning complex face information into simple Chinese character information. Noted that all processed target faces were obscured by separate Chinese characters which are the target people’s last names. The psychological results showed that the image-processing strategy based on FaceNet improved recognition accuracy. The proposed strategy, to convert complex face information into simple Chinese character information, could help subjects to use their own first knowledge to identify the person who need to be identified more faster and accurately.

CCS Concepts

•Human-centered computing ➝ Human computer interaction; •Computing methodologies ➝ Artificial intelligence ➝ Computer vision ➝ Computer vision tasks; •Social and professional topics
Trajectory Outlier Detection Algorithm for ship AIS Data based on Dynamic Differential Threshold
Authors: Shuang Sun , Yan Chen , Jinsong Zhang 
Published: January 2020

Abstract
Trajectory outlier detection is one of the most important branches of data mining topics. Most existing outlier detection algorithms only utilized location of trajectory points and neglected some important factors such as speed, acceleration, and corner. In this paper, we propose a trajectory outlier detection algorithm based on dynamic differential threshold, called TODDT. Considering the influence of target motion information in a period of time, TODDT improves the traditional distance-based algorithm by combining dynamic differential threshold into outlier detection to discover more meaningful trajectory outliers. The experiments with real trajectory data sets in ship AIS (Automatic Identification System) show that TODDT algorithm performs efficiently and effectively when applied to the problem of trajectory outlier detection and the quality of trajectory data is greatly improved.
Analysis on the New Progress of Spectrum Planning of IMT-2020(5G)
Authors: Kang Guoqin , Liu Han , Li Kai 
Published: January 2020

Abstract
In order to allocate reasonable spectrum resources above 6 GHz for 5th-Generation (5G) in China, this paper analyzes the new progress of upcoming World Radio Conference-2019 (WRC-19) agenda 1.13, the 3rd Generation Partnership Project (3GPP) 5G New Radio (NR), and Chinese 5G spectrum planning. It analyses the possibility of Chinese spectrum planning in several candidate frequency bands with Monte-Carlo simulation, including 24.75-27.5 GHz, 31.8-33.4 GHz, 37-43.5 GHz, 64-71 GHz, 71-76 GHz and 81-86 GHz. The compatibility is viable between mobile service (MS) and earth exploration satellite service (EESS), radio astronomy service (RAS), inter-satellite service (ISS) in 24.75-27.5 GHz. It’s likely to allocate 24.75-27.5 GHz to 5G in China. There is coexisting difficulty and adverse propagation condition in 31.8-33.4 GHz. It is almost impossible to allocate 31.8-33.4 GHz to 5G in China. It is compatible between MS and fixed-satellite service (FSS), EESS (passive) with additional isolation and out-of- band emission limitation in 37-43.5 GHz. It is possible to allocate 37-43.5 GHz to 5G in China.
Research on Dynamic Decision-making Hybrid Model of Pedestrian Flow Based on Deep Learning
Authors: Zhao Shuxu , Men Shiyao , Zhang Baohua 
Published: January 2020

Abstract
With the progress and development of China’s transportation system, pedestrian travel behavior and safety have received increasing attention. At the same time, controlling the population density and population movement in densely populated areas plays an important role in ensuring national security for the public security departments. Therefore, how to properly adjust the switching time of traffic signals has become an urgent problem. In view of the above requirements, this paper proposes a signal switching model based on deep learning for dynamic regulation of pedestrian traffic. The hybrid model is divided into three parts, named the real-time data acquisition part, the historical data analysis and prediction part and the decision model part. Firstly, the LSTM model is used for the analysis and prediction of historical traffic data with time series characteristics. Then, the real-time data acquisition adopts the lightweight and high-performance target detection model MobileNet-SSD proposed by Google. Finally, the signal switching decision model is proposed to analyze and determine the data provided by the above model, and two adjustment factors are defined to adjust the proportion of historical data and real-time data to the impact of decision results.

CCS Concepts

•Computing methods ➝Artifical intelligence ➝Computer vision ➝computer vision tasks.