bluuebunny/crossref_metadata_2025_split huggingface dataset:
New Approach to Find Fixed Point in Extended b-metric Space
Authors: Gonder Surjeet Singh Chauhan , Rana Kanika 
Published: December 2021

Abstract
A fixed point for a suitable map or operator is identical to the presence of a solution to a theoretical or real-world problem. As a result, fixed points are crucial in many fields of mathematics, science, and engineering. In this paper, we establish new fixed point results on self-mappings in setting of extended b-metric space which can be extended further to give application in real world such as in image processing, computer graphics, Nash equilibrium and many more. Our results extends the corresponding results of Mukheimer et. al. [Aimal Mukheimer, Nabil Mlaiki, Kamal Abodayeh, Wasfi Shantanawi, Non Linear Analysis: Modeling and Control, 24(6), 870-883, 2019.] and Kamran et. al. [Tayyab Kamran, Maria Samreen, Qurrat UL Ain, Mathematics, 5(19), 2017, 7 pages.]. Examples are also mentioned to check the authenticity of our results. A solution to Fredholm integral equation is also demonstrated as an application.
A model for early diagnosis of Cardiac Autonomic Neuropathy (CAN)
Authors: Sharanya S. , Sridhar P.A. 
Published: December 2021

Abstract
Convolutional Neural Networks (CNN) are widely used as prediction models in medical diagnosis in the recent research. Remodelling the CNN architecture to make it more reliable for classification is the core of each finding. Cardiac Autonomic Neuropathy (CAN) is a severity amongst the diabetic population, who are subject to diabetes for long duration. The aim of this work is to provide a predictive mechanism that is designed for more reliable diagnostics by studying the ECG physiology and enhancing the diagnostics by artificial technique, like using a remodelled CNN architecture. Results of CNN show 95.42 % efficiency in classifying between groups of CAN+ and CAN-groups..
Assistive Robot For Visually Impaired People
Authors: Sunitha K.A. , Suraj Ganti Sri Giri Sai , Atchyut Sriram G , Savitha Sai N 
Published: December 2021

AbstractThe proposed robot aims to serve as a personal assistant for visually impaired people in obstacle avoidance, in identifying the person (known or unknown) with whom they are interacting with and in navigating. The robot has a special feature in truly locating the subject’s location using GPS. The novel feature of this robot is to identify people with whom the subject interacts. Facial detection and identification in real-time has been a challenge and achieved with accurate image processing using viola jones and SURF algorithms. An obstacle avoidance design has been implanted in the system with many sensors to guide in the correct path. Hence, the robot is a fusion of providing the best of the comfort and safety with minimal cost.
Automatic Classification of Cardiac Arrhythmias based on ECG Signals Using Transferred Deep Learning Convolution Neural Network
Authors: Giriprasad Gaddam P. , Sanjeeva reddy A , Sreehari R.V. 
Published: December 2021

Abstract
In the current article, an automatic classification of cardiac arrhythmias is presented using a transfer deep learning approach with the help of electrocardiography (ECG) signal analysis. Now a days, an ECG waveform serves as a powerful tool used for the analysis of cardiac arrhythmias (irregularities). The goal of the present work is to implement an algorithm based on deep learning for classification of different cardiac arrhythmias. Initially, the one dimensional (1-D) ECG signals are transformed to two dimensional (2-D) scalogram images with the help of Continuous Wavelet(CWT). Four different categories of ECG waveform were selected from four PhysioNet MIT-BIH databases, namely arrhythmia database, Normal Sinus Rhythm database, Malignant Ventricular Ectopy database and BIDMC Congestive heart failure database to examine the proposed technique. The major interest of the present study is to develop a transferred deep learning algorithm for automatic categorization of the mentioned four different heart diseases. Final results proved that the 2-D scalogram images trained with a deep convolutional neural network CNN with transfer learning technique (AlexNet) pepped up with a prominent accuracy of 95.67%. Hence, it is worthwhile to say the above stated algorithm demonstrates as an effective automated heart disease detection tool
IoT based Automation of Public Garden and Botanical Garden
Authors: Pithadiya B H , Parikh H N , Pandya H N , Vyas D 
Published: December 2021

Abstract
People in urban areas appreciate and enjoy the beauty of nature as carefully manicured grass and flowers in public gardens. Senior citizens find this place best for their social networking, while children enjoy their recreational activities here. Botanical garden generally refers to a place where, variety of flora species are planted and grown for the purpose of scientific study. Maintaining a garden or botanical garden takes lot of maintenance effort along with monitoring various parameters such as moisture and light; ambient factors like temperature and humidity of air are also important factors. The focus of this paper is to demonstrate and implement a cost-effective way to monitor and control soil moisture, ambient air temperature and humidity in such gardens by means of controlling drip irrigation pumps and water sprinklers.
Design and Implementation of AGU based FFT Pipeline Architecture
Authors: Prasanna Kumar G. , Chandra Maturi Sarath , Shiva Prasanna K , Mahesh M 
Published: December 2021

Abstract
Present it is most needful task to get various applications with parallel computations by using a Fast Fourier Transform (FFT) and the derived outputs should be in regular format. This can be achieved by using an advanced technique called Multipath delay commutator (MDC) Pipelining FFT processor and this processor will be capable to perform the computation of a different data streams at a time. In this paper the design and implementation of AGU based Pipelined FFT architecture is done Caluclation of a butterfly is done within 2 cycles by the instructions proposed. A Data Processing Unit (DPU) is employed in this pipeline architecture and supports the instructions & an FFT Adress Generation Unit (FAGU) caluclates butterfly input & output data adresses automatically. The DPU proposed sysyem requires less area compared to commericial DSP chips. Futhermore, the proposed FAGU reduces the number of FFT computation cycles. The FFT design architecture will have real data paths. With various FFT sizes, different radix & various parallesim levels, the FFT can be mapped to the pipeline architecture. The most attractive feature of the pipelined FFT architecture is it consists of bit reversal operation so it requires little number of registers and better throughput.
Development and validation of an expert system for lubricant based predictive maintenance of machinery
Authors: Indra Reddy A , Ramana K V 
Published: December 2021

Abstract
Predictive maintenance is also known as condition monitoring. It is a technique in which systems are monitored at various key points of the operating machinery and data is observed. Analyzing the data is very much useful to assess the health of the machine thereby catastrophic failures can be avoided. This leads to more production and also eliminate to a great extent, the inventory. To make the technique more convenient, the expert system is very much useful. In this paper an attempt has been made to take up a comprehensive review of the literature and emphasis has been given to lubricant condition-based monitoring through an expert system, which will spell out the probable faults along with remedial measures. The expert system embeds the viscosity of lubricant as measurand. It has been developed for different grades of lubricating oils and their industrial utility.
A Fusion Of Sensors Information On Path Tracking For Autonomous Driving Control Of An Electric Vehicle (EV)
Authors: Haris Hasri , Khairunizam Wan , Halin Hafiz , Mustafa Wan Azani , AB Shahriman , Rzalan Zuradman M. 
Published: December 2021

Abstract
Depending on an intellectual level and experience, each human may make judgments and respond to situations autonomously. The driver is alerted and knows what to do in a specific circumstance while driving. This research aims to see how individuals act when driving an electric car down a predetermined path. An electric buggy car is built with equipment and sensors called an Electric Vehicle (EV) in experiments. Individuals who meet specified requirements are chosen to analyse their driving behaviours, and data is collected using various sensors. The speed, steering wheel angle, heading, and position of the buggy car are recorded throughout the human navigation trials. After the tests, data on human behaviour while driving straight and turning left and right are collected.
Smart Assistive Shoes with Internet of Things Implementation for Visually Impaired People
Authors: Kamaruddin F S , Mahmood N H , Abdul Razak M A , Zakaria N A 
Published: December 2021

Abstract
Visually impaired people usually have a lot of difficulties involved in interacting with their environment. Physical movement is a major challenge for them, because it can be tricky to make a distinction about where they are and how they can move from one place to another. In this project, smart assistive shoes with Internet of Things (IoT) implementation is designed. These shoes are equipped with ultrasonic sensors and vibration motors that can warn users about obstacles. Next, the IoT system is implemented using Adafruit IO and If This, Then That (IFTTT) to transfer data between Google Assistant and buzzer for shoes position finder purposes. NodeMCU allows the buzzer on shoes to be controlled by the Internet using its WiFi module which is connected to the mobile phone hotspots. As a result, shoes with an obstacle detection system which can detect obstacles within 20 cm distance and shoes position finder using Google Assistant are designed. In conclusion, hopefully these shoes will become one of the alternatives to aid the independent movement of the visually impaired people in the future.
Malaria Parasite Diagnosis Using Computational Techniques: A Comprehensive Review
Authors: Mustafa Wan Azani , Alquran Hiam , Aihsan Muhammad Zaid , Saifizi Mohd , Khairunizam Wan , Abdul-Nasir Aimi Salihah , Abdul Kader Mohamed Mydin M. , Salimi Midhat Nabil , Nasrudin Mohd Wafi 
Published: December 2021

Abstract
Malaria is a very serious disease that caused by the transmitted of parasites through the bites of infected Anopheles mosquito. Malaria death cases can be reduced and prevented through early diagnosis and prompt treatment. A fast and easy-to-use method, with high performance is required to differentiate malaria from non-malarial fevers. Manual examination of blood smears is currently the gold standard, but it is time-consuming, labour-intensive, requires skilled microscopists and the sensitivity of the method depends heavily on the skills of the microscopist. Currently, microscopy-based diagnosis remains the most widely used approach for malaria diagnosis. The development of automated malaria detection techniques is still a field of interest. Automated detection is faster and high accuracy compared to the traditional technique using microscopy. This paper presents an exhaustive review of these studies and suggests a direction for future developments of the malaria detection techniques. This paper analysis of three popular computational approaches which is k-mean clustering, neural network, and morphological approach was presented. Based on overall performance, many research proposed based on the morphological approach in order to detect malaria.
Wireless Control Modelling for Overhead Crane
Authors: Nazri Omar M , Ismail Mohd Muzafar , Ayob Mohd Nasir , Arith Faiz 
Published: December 2021

Abstract
Radio frequency (RF) remote controllers are widely used in manufacturing, construction, transportation, and many other industrial applications. Cranes, drills, and miners, among others, are commonly equipped with RF remotes. Installation wired communication takes a long time to set up the connection as compared to the wireless connection. The installation becomes very lengthy and complex if we want to get connected with each router. For the same reason, for a system expansion to add more device(s), the re-routing process to connect this new device(s) to the network can be avoided. Instead, with the wireless connection, we don’t have to perform all the setup again. The network can be accessed with the authorized passcode. Radio-controlled devices are ubiquitous in all sorts of industries. In fact, many cranes are now being equipped with radio-controlled technology, which is revolutionizing the way crews move materials around a warehouse or job site. In the steel manufacturing industries, the wireless crane control has proven to assure. more advantage compared to the disadvantage. Through the surveillance and monitoring of wireless remote control for crane that done at AJSB, Prai, Malaysia.
Energy efficient high-performance approximate adders for imprecision-tolerant signal processing applications
Authors: Komathy Vanitha K , Anila S 
Published: December 2021

Abstract
The trade-off between Delay and Power consumption has become a major concern as process technology reached less than 10 nm proximity in the modern Very Large-Scale Integration (VLSI) technology. This trade-off can be compensated with accuracy and is vanquished by the development of Approximate Computing (AC). In this paper, six diverse Approximate Adders (AAs) have been proposed based on logic complexity reduction at the transistor level. Simulation results reveal that the Proposed AAs has a significant amount of Power and Delay savings, lesser Power-Delay Product (PDP). The Proposed AAs:PA1, PA3, PA5, PA3 exhibits 12.85 %, 41.59%, 72.05 %, 1.91% lesser power than the Existing AAs EAA1, EAA5, EAA6, EAA9 respectively. The Proposed AAs: PA2, PA3 incorporates 37.5 %, 54.5%, of lesser number of transistors compared to Existing AAs: EAA5, EAA9 whereas PA4, PA5 incorporates 40 % of reduction in the number of transistors compared to Existing AAs: EAA6, EAA8. These results are promising for high performance and energy efficient systems for error-resilient applications such as multimedia and signal processing where a slightly degraded output quality is acceptable, which could lead to significant power reduction.
Thermal Management System Analysis Concentrate on Air Forced Cooling for Small Space Compartment and Heat Load
Authors: Yahaya M N , Ghani A Z A , Razlan Z M , Rahman A A , Bakar S A , Wan W K , Harun A. , Hashim M S M , Faizi M K , Ibrahim I , Kamarrudin N S 
Published: December 2021

Abstract
Battery thermal management system (BTMS) plays an important thing as to control of the battery thermal behaviours. Recently, most of the manufacturer either in automobile, motorcycle, and electric vehicle (EV) industry are using this application of BTMS for their product. It is because BTMS promising the extend the period and lifespan of the battery and the battery system controlling the temperature distribution and circulation on the system. Lithium-ion battery is one of the common usages in BTMS. Lithium-ion battery promising the goals such as higher performance, better cycle stability, and improved protection are being followed with the selection and engineering of acceptable electrode materials. It also shows a goal for future such as high of the energy storage due to higher energy density by weight among other rechargeable batteries. However, there still have factor that are limiting the performance/application when using lithium-ion as battery thermal management system (BTMS). For example, the performance, cost, life, and protection of the battery. The main reason is therefore important in order to achieve optimum efficiency when working under different conditions. Hence, the best range of temperature and the cooling capacity of lithium-ion battery need to evaluate in order to increasing the lifespan of lithium-ion battery at the same time can increasing the performance of the cell. This study found that the higher the velocity of air, the higher the cooling capacity that gain from the surrounding. It also was strongly related to the dry bulb temperature of surrounding air.
Investigation on magnetometer as potential sensors for infusion pump utilisation status
Authors: Engku Ariff E A R , Zakaria A , Kamarudin L M , Syed Zakaria S M M , Zakaria S , Visvanathan R 
Published: December 2021

Abstract
The utilisation of medical device e.g. an infusion pump is commonly treated as non-trivial process in service and maintenance section albeit in actuality, it is a crucial process for determining its correct maintenance cycle. Therefore, a discussion on the capability of magnetometer sensor as one of potential sensors to be used to keep track the utilisation status of infusion pump. The variation of magnetic flux density and its frequency produced by the stepper motor inside the infusion pump is measured and analysed through magnetometer sensor, embedded inside a Bluetooth Low Energy (BLE) device. Obtained result shows that magnetometer sensor has the potential to track the utilisation status of the tested infusion pumps.
Research on the Monitoring Methods of VOCs Leak of Open Circulating Water System in Refineries
Authors: Li Xiaofei , Wang Ge , Sun Wenjing , Wang Yongxing , Zhao Jingyan , Duan Weichao 
Published: December 2021

Abstract
Open circulating water heat exchangers are widely used in refineries. According to the current emission standards, whether a circulating water system is leaking is determined by total organic carbon (TOC) concentration at the inlets and outlets of circulating water heat exchangers. However, this method is rough with low compatibility, making it hard to judge the actual leak of a circulating water heat exchanger. Taking a typical refinery with a yearly output of five million tons of oil as an example, we established a ledger of an open circulating water system and optimized the method to judge whether the system is leaking in this paper. The results show that there are 63% of the circulating water heat exchangers can be decided by monitoring the quality of circulating water. Among all, the leak of only 18.81% of the circulating water heat exchangers can be decided by monitoring the amount of TOC.
Effect of ITO Content on Properties of Functional Graphene Coating on Cotton Fabric
Authors: Yang Yongqiang , Ye Ting , Wang Qun , Han Weiyi , Wang Qinsheng , Yin Yunjie 
Published: December 2021

Abstract
In order to investigate the effect of indium tin oxide (ITO) on the performance of graphene functional coating on cotton fabric, different contents of ITO were added to the graphene coating system, and the effects of ITO content and curing time on various properties of graphene coating were studied. The results showed that the ITO particles adsorbed on the graphene sheets and filled the gaps between the graphene sheets, forming a dense conductive network, which could further improve the conductive performance of the functional coatings. When ITO content was 1.2%, the resistivity of the coating reached the lowest 1.8 Ω·cm, and the overall ultraviolet transmittance and reflectance were the lowest. With the increase of ITO content, the infrared reflectance will first decrease and then slowly increase, but the infrared reflectance is all below 0.5%. When the curing time reached 90 s, the resistivity and UV transmittance of cotton fabric coating decreased. With the extension of curing time, the coating on infrared reflectivity gradually increased, but the infrared reflectivity of the overall < 1%.
Application of AgNPs/rGO Modified Nylon Fabric in Strain Sensing
Authors: Yang Yongqiang , Tan Yongsong , Wang Qun , Shu Yihu , Wang Qinsheng , Yin Yunjie 
Published: December 2021

Abstract
The graphene oxide slurry was printed on the pre-stretched and non-pre-stretched nylon fabric by screen printing, and immersed in silver ammonia solution of different concentrations, and then reduced to obtain silver nanoparticles/reduced graphene oxide (AgNPs/rGO) modified nylon fabric with excellent conductivity. The surface morphology of the fabric was observed, and the performances of the fabric sensor that was scraped with graphene oxide slurry between the pre-stretched and non-pre-stretched states were explored. The resistance responses of the nylon fabric finished with different concentrations of silver ammonia solution under different strains (1%, 2%, 3%, 4%, 5%, 10%, 15%, 20%) were investigated. The results showed that the nylon strain sensor was more sensitive and stable when the graphene oxide slurry was scraped in the pre-stretched state, and while the silver ammonia solution concentration was 10 mg/mL, the nylon fabric had maximum sensitivity and lowest hysteresis performance.
Effect of Ground Slag on Mechanical Properties of Concrete under Low Temperature
Authors: Yuan Xuelian , Hu Jie 
Published: December 2021

Abstract
Through using cube resisting compression test, fracture properties and micro-structure, the mechanical properties of high volume ground slag concrete under low temperature are studied in this paper. The results show that low temperature can improve the compressive strength of high volume ground slag concrete. And strength increased with the decreased of temperature. Low temperature can also improve the fracture energy and fracture toughness. Not only can ground slag reduce the content of calcium hydroxide in hardened cement paste, but ground slag can improve the compactness of hardened cement paste, reduce porosity and improve the strength of the interface.
The Resistance of Novel Concrete Prepared by Gap-Graded Blended Cement under Chloride-Sulfate Attack
Authors: Han Yudong , Zhang Tongsheng , Guo Yiqun , Tian Wenli , Li Jiahao 
Published: December 2021

Abstract
The resistance of concrete under chloride-sulfate attack dominates the durability of marine constructions. The binder played a more important role in chloride-sulfate resistance of concrete due to the dynamic hydration process. Incorporating supplementary cementitious materials (SCMs) was beneficial to the microstructure densification of cement paste, but the low hydraulic activities of SCMs resulted in the decrease of mechanical properties, activating activities of SCMs would raise the cracking risk of cement paste. On the basic of close packing theory, a gap-graded blended cement contained calcined hydrotalcite and metakaolin was adopted to prepare concrete with high resistance under chloride-sulfate attack in present study. The gap-graded blended cement concrete presented comparable strength with Portland cement concrete, even though only 25% clinker used in the blended cement. Because of the continuous hydration of alumina-rich SCMs and functional components, the secondary hydration products with high chloride binding capacity helped blocking ions ingress, resulting in the one-magnitude decrease of chloride diffusivity. At the early period of soaking duration in chloride-sulfate solution, the sulfate ions were beneficial to delaying the migration of chloride. And the cracks introduced by expansive products from sulfate attack would observably accelerate the release and continuous ingress of chloride at late period.