bluuebunny/crossref_metadata_2025_split huggingface dataset:
Utilization of Reclaimed Asphalt Pavement Material in Wet Mix Macadam (W.M.M)
Authors: Sejvani Ajaykumar , Amin A.A. , Zala L.B. 
Published: December 2021

Abstract
Reclaimed asphalt pavement (RAP) is one of the innovative and effective technologies in many places in the world. The utilization of RAP is rapidly increasing popularity and becoming an emerging technique in India. As per IRC-120:2015, removing or reprocessing pavement materials containing aggregates that are bitumen coated is termed as RAP. These materials are gained through a process in which the existing surface pavement is reclaimed and reused after processing for reconstruction, resurfacing, or repaving. Well graded and high-quality aggregate are achieved from this process. Proper utilization of RAP with specified properties and specified percentages, not only serve as an alternative useful pavement material but also helps in reducing the usage of natural construction material, that will directly reduce the overall cost of projects. By conducting tests as per MoRTH specifications (5th Revision), the various characteristics of RAP material and fresh aggregates are observed. The main objective of the study is to carry out the performance tests: Modified Proctor test on fresh material as well as on material mixed with reclaimed asphalt pavement i.e. 10%, 20%, and 30% of total mix and to achieve optimum moisture content and maximum dry density by using Modified Proctor Test. Attempts are carried out to design a new pavement using Indian Road Congress (I.R.C-37:2018) guidelines and utilization of RAP material. Economic benefits are calculated in terms of fresh and RAP (10%, 20%, and 30%) mix material pavement.
Partial Replacement of Pumice Stone in Concrete As Coarse Aggregate Material
Authors: Sagar S , Darshan M.M , Roja M , Kalappa UP 
Published: December 2021

Abstract
In design of concrete structures, concrete plays an important role in the contemporary background as raw material for construction has been decreased. Therefore construction industry has acquaint with novel methods by making use of the available waste material for partial replacement by using alternative aggregates instead of ordinary aggregates. In this study, pumice stone is used as replacement materials for concrete where it is found in the abyssal of the red clay or in deepest portion of the ocean, and partially replacing by Pumice, blends with cement. The physical, mechanical and durability properties of concrete was investigated by conduction compressive strength and tensile strength on the ordinary and replaced concrete with varied percentage of pumice from 5% to 30%. It’s obsereved that environmental and economical benefits can be achieved if waste materials can be used to replace the coarse aggregate in order to use the waste materials effectively in areas with abundant availability of materials. This thesis work on the effectiveness of partial substitutions of pumice for coarse aggregate in producing adequate strength gain. In the present thesis work comparison of fresh concrete and hardened properties of concrete for both conventional concrete and Replaced concrete for varying percentage of replacement of pumice stone to coarse aggregate and based on the experimental results, it’s concluded that 25% partial replacement by pumice gives maximum compresive strength.
Accident & Alcohol Detection Surveillance Robot
Authors: Rajani Devi M. , Jyothi V. 
Published: December 2021

Abstract
Nowadays in India many accidents are occurred due drunk and drive. So, we have made a project to resolve and predict these incidents, in which we used Arduino, Alcohol sensor, GSM and GPS modules. Here the Alcohol sensor is placed inside the car which will detect whether the driver of the car has drunk or not. If the driver is drunk then the Alcohol sensor will get triggered and the car engine will not turn ON or it will OFF the engine if it is already in ON state. Here the other two modules which are GSM and GPS. If the car has met with an accident the limit switch which is present inside the car will trigger the Arduino by which an SMS will be sent to the particular contacts which are been saved in the Arduino program. The GPS will be connected to the number of satellites so that when the car met with the accident the live location of the car will be sent to the contact through the GSM module. This entire setup of GPS and GSM will be kept inside the car. This entire project can reduce the accidents which are occurred by the drunk and drive and dead corners and also predict the location of the accidents. It results in increasing the human safety and protection
Monitoring and Controlling Solar Photovoltaic (PV) Performance with Active Cooling System using IoT
Authors: Razak M F A , Hasan M Z , Jobran J A M , Jamalli S A S 
Published: December 2021

Abstract
Solar photovoltaic technologies are worldwide renewable energy sources. However, the elevated temperature in solar panels is one explanation for reducing the performance of solar systems. An active air cooling system can be mounted on the back of the solar panel to avoid this phenomenon. In order to ensure that the solar system runs smoothly, monitoring needs to be done at each place where this solar energy system is located. The Internet of Things (IoT) is a network of linked, internet-accessible physical objects. It is the technology of the next generation that will soon be extended to society. The IoT refers to the system or ecosystem in which devices are connected to the Internet in real-time. Based on IoT, a smartphone can track the temperature of the solar panel anytime and anywhere. To overcome this problem, a Blynk IoT system monitors solar power status and controls the cooling air system. NodeMCU was the main microcontroller used in IoT systems. The IoT framework can be implemented easily and efficiently using NodeMCU. The experimental results of this project will monitor the performance of the solar panel and monitor it.
Design and Development of IoT based Garbage Monitoring and Management System
Authors: Nooriman W M , Lim R Y , Rudzuan M N , Sofi Y , Fauzi M M , Abdullah A H 
Published: December 2021

Abstract
Daily garbage production causes increasing in garbage management and cleansing cost which required an approach for better monitoring and management system to be applied. Currently, demand of IoT keep increasing as a part of Industrial Revolution 4.0 (IR4.0). Eventually, this IoT based Garbage Monitoring and Management System has been developed. For hygiene, self-opening dustbin lid is applied and IoT technology is used to integrate better garbage monitoring and management into an innovative and effective system. The development of this smart bin uses a pair of infrared sensors and an ultrasonic, push notifications were developed in Blynk application, and user-friendly infographic data is designed on webpage for monitoring and garbage management purposes. The smart dustbin notifies the user when the garbage level exceeds 80%. The dustbin sends a push notification to the user’s phone to alert the user to take actions needed before the bin exceed the limit.
Relative Localization Method of Wet Spot of Grain using Array of Passive RFID Tags
Authors: Azmi Noraini , Kamarudin Latifah Munirah , Mohamed Latifah , Zakaria Ammar , Fazalul Rahiman Mohd Hafiz , Mamduh Syed Zakaria Syed Muhammad , Ndzi David Lorater 
Published: December 2021

Abstract
Radio Frequency Identification (RFID) enables a large number of object monitoring since semi/passive tags are independent of batteries. In our previous work, the possibility of using different wireless technologies such as Wireless Sensor Network (WSN), Wireless Local Area Network (WLAN) and Radio Frequency Identification (RFID) to determine the moisture content in rice was investigated. Finding from our previous work suggest that RFID can be used to determine the moisture content of rice. While numerous research have been conducted for moisture content of grain, however, to author’s knowledge, there is only a few studies conducted on the localization of grain hostpot. Therefore, this study aims to investigate if the passive RFID array can be used to localize the location of the wet spot of grain. Prior, the experiment, a suitable setting for the RFID system were determined. In addition, a simple test was conducted to select a suitable operating frequency. From the investigation, the result indicates that only frequency channels 865, 866, 867, 868 and 869 MHz can detect all 30 tags. Meanwhile, frequency channel in the range 902 to 928 MHz detects 26 to 29 unique tags. Hence, 868 MHz was selected as the operating frequency throughout the experiment. The findings indicate that the RSSI value measured by the RFID reader decreased as the moisture of the sample increased when the tags were blocked by the sample placed at the designated location during the test.
Design of a Mechatronic Interface with Compliant Manipulator for Robot Assisted Echocardiography
Authors: Sayahkarajy Mostafa , Mohd Faudzi Ahmad Athif 
Published: December 2021

Abstract
A compliant manipulator with a compound soft actuator is proposed for robot-assisted echocardiography. The target application is devoted to the TOE echo (Trans-oesophageal echocardiography), which is conventionally performed by medical practitioners. The manual manipulation of the echocardiography probe shows significant risks such as human errors, exposure to ionizing radiation, and multitasking complexity. Automation of TOE provides advantages in terms of control, safety, and workload of the operator. This paper proposes a teleoperated robotic system assisting the physician to perform TOE, to be used in cardiac catheterization laboratories as well as hybrid operation theatres. A system containing a holder with master-slave Dynamixel servos and a manipulator with soft actuators has been developed. To alleviate the major lack of the previous designs in conducting the insertion tube, a robotic arm with a soft structure is proposed that has not hazards of conventional robot manipulators. The fundamental equations and relations for quasi-static control of the system are developed in this paper.
Analysis of human object lifting operation force using power assist device
Authors: Kato Ken , Ikeura Ryojun , Tsutsumi Shigeyoshi , Hayakawa Soichiro , Sawai Hideki 
Published: December 2021

Abstract
We carry various objects at the work site. At that time, you may have a heavy object, which requires muscular strength. However, setting such restrictions reduces the number of people who can participate in the work. Therefore, I think that it can be improved by using a power assist device. However, the power assist device has a problem in operability. When we use an assist device to lift an object, we feel sensation different than usual. At that time, we can feel discomfort and unstable. Analyze what kind of operation is performed when a person feels uncomfortable. For that purpose, we set a weight and some lifting conditions and conducted an experiment.
Potential of Near-Infrared (NIR) spectroscopy technique for early detection of Insidious Fruit Rot (IFR) disease in Harumanis mango
Authors: Zakaria N S , Abdullah A H , Ahmad Saad F S , Ali Hassan M K , Abu Bakar M N , Mohd Saad A R , Sudin S , Ibrahim M F 
Published: December 2021

Abstract
Harumanis mango ‘Insidious Fruit Rot’(IFR), is one of the common issues that hampered the fruit quality and consequently lowered the premium value of Harumanis Mango. Physically and visually the affected fruit does not show any attributes that indicates the presence of IFR on any part of the fruit until it has been cut open. This paper investigates the feasibility of a non-destructive method to screen the Harumanis mango from IFR using near-infra red light and artificial neural network. A common NIR light emitting diodes of 1000nm wavelength was used as the light source to emit NIR light while a photodiode was used to measure the intensity of the reflected NIR light from Harumanis mango. Early detection of IFR were done manually by local expert using acoustic method by flicking fingers to detect any abnormality inside the fruit. Sample data on NIR Spectroscopy reflectance results of 120 samples were used to classify the presence of IFR using neural network. Mean value of NIR reflectance of RBG for Harumanis mango with an incidence of Insidious Fruit Rot are R=0.651, G=0.465 and B=0.458, while without IFR are R = 0.211, G=0.15 and B=0.146. Using MATLAB’s neural network training tool, a training set regression was obtained with an accuracy value of 0.9805 for prediction of IFR, thus this value is very high in accuracy.
System Design for Early Detection of Explosive and Flammable Gas Leaks Using Mobile Robot in Confined Space
Authors: Abu Bakar M A , Manan M R , Kawi R M , Yunn L J 
Published: December 2021

Abstract
The presence of explosive or flammable gases in confined space may contribute towards accidents that threaten the workers safety and industrial progress. Conventionally, the existing instrument for gas detection in confined space is manually carried by humans whereby the workers or competence person itself were exposed directly to the gases. This project is aim to develop a prototype system to detect the presence of gases leak where the robotic system replaces humans to carry gas sensors. Users only need to maneuver the robot using a mobile phone to monitor the specific area that may have an explosive or flammable gas leak which includes Liquefied Petroleum Gas (LPG) and methane gases. The sensors will detect if a change in the gas concentration has exceeded a safety limit and will activate the alarm as an alert signal. The readings of gases as input signals were sent wirelessly to the Personal Computer (PC) as a user device for monitoring purposes. This prototype is successfully developed, tested and calibrated using the samples of LPG gas, methane, smoke and environment temperature. The result proved that the developed system is able to detect an air sample using selected gas sensors and display the data in graph form with live monitoring. This will contribute significantly to acquiring a new and alternative method using the system for detecting the presence of gases in confined space application.
Development of Solar-Powered Crop Soil Conditions Monitoring System Using Internet of Things (IoT)
Authors: Fhaizal F.F. , Suboh S.M. , Ali R. 
Published: December 2021

Abstract
The demand for food and agriculture production is increasing day by day. To cope with this situation, the traditional method used by farmers to monitor their crops needs to be improved. This project proposes a low-cost agriculture monitoring system that is capable of sending real-time crop soil conditions to farmers to help them in making the best decisions such as for planting and watering. The proposed monitoring system is equipped with a DHT11, LDR, and soil moisture sensor to monitor temperature, humidity, and other parameters. The internet of things (IoT) is implemented in this system to send all the information from sensors to the Cloud and display it through the ThingSpeak website. The mobile application named MY_FARM will read all the data from the ThingSpeak website to display and send a push notification to the farmers instantly if the crop soil conditions are out of the acceptable range. Based on the observation, the serial monitor and the ThingSpeak website will be updated with new data for every 20 seconds. Solar PV-based battery is proposed as the main power supply of the system, hence possible to be installed in remote areas. The experimental result demonstrates that the PV-based battery can charge and discharge and supply power to the system for about 11 hours before needs to be recharged.
Integrating Vision System to a Pick and Place Cartesian Robot
Authors: Tan K S , Ayob M N , Hassrizal H B , Ismail A H , Muhamad Azmi M S , Hashim M S M , Othman S M , Shahriman A B , Low Y H 
Published: December 2021

Abstract
Vision aided pick and place cartesian robot is a combination of machine vision system and robotic system. They communicate with each other simultaneously to perform object sorting. In this project, machine vision algorithm for object sorting to solve the problem in failure sorting due to imperfection of images edges and different types of colours is proposed. The image is acquired by a camera and followed by image calibration. Pre-processing of image is performed through these methods, which are HSI colour space transformation, Gaussian filter for image filtering, Otsu’s method for image binarization, and Canny edge detection. LabVIEW edge-based geometric matching is selected for template matching. After the vision application analysed the image, electrical signal will send to robotic arm for object sorting if the acquired image is matched with template image. The proposed machine vision algorithm has yielded an accurate template matching score from 800 to 1000 under different disturbances and conditions. This machine vision algorithm provides more customizable parameters for each methods yet improves the accuracy of template matching.
Modelling of Facial Images for Analysis of Recognition System
Authors: M H Assyakirin , Nisha B Shafriza , Y Haniza , A S Fathinul Syahir , A S Muhammad Juhairi 
Published: December 2021

Abstract
Face recognition is categorized as a biometric technology that employs the use of computer ability in image processing to detect and recognize human faces. Face recognition system has numerous applications for many purposes such as for access control, law enforcement and surveillance thus this system is dominant in present technology. Generally, face recognition system become more advance in term of the accuracy and implementation. However, there are a few parameters that effects the accuracy of recognition system for examples, the pose invariant, illumination effect, size of image and noise tolerance. Even though there are a number of systems were already available in the literature, the complete understanding of their performances are relatively limited. This is due to many systems focused on a narrow application band – therefore, a comprehensive analysis are needed in order to understand their performances leading to establishing the conditions for successful face recognition system. In this paper we developed a synthetic model to represent facial images to be used as a platform for performance analysis of facial recognition systems. The model includes 5 face types with the ability to vary all parameters that are affecting recognition performance – measurement noise, face size and face-background intensity differences. The model is important as it provide an avenue for performance analysis of facial recognition systems.
Developing fire evacuation simulation through BDI-based modelling and simulation
Authors: YenChern Ng , WaiShiang Cheah , KengWai Sim , Khairuddin Muhammad Asyraf bin , Jali Nurfauza bt , Mit Edwin ak 
Published: December 2021

Abstract
Fire evacuation simulation is used to simulate the fire evacuation procedures by involving human-like agents. In this paper, the fire evacuation simulation is designed and developed by adopting the BDI agent plug-in. BDI (Belief, Desires, Intentions) is a technique used in modelling the multi-agent system. A tool and BDI methodology are introduced to help in modelling human behaviour and the decision making of an agent. In this paper, the usability of the BDI methodology and BDI agent plug-in tool is studied through a case study of a fire evacuation environment. The case study covers the three main components needed in a fire evacuation simulation: the fire (the spread of the fire and smoke), the building layout (the classroom and physical objects), and the human-like multi-agents. Using the Unity game engine, a fire evacuation simulation system is built based on the requirements, methodology, and design. The usability of the BDI agent plug-in tool can be proven by observing the results of the fire evacuation simulation and the reaction of agents when encountering the fire situation. However, there are also some limitations of this fire evacuation simulation. Therefore, there are works to be done to develop a more realistic fire evacuation simulation and more human-like multi-agents in future.
RF signal calibration for improvement of 3D mapping image to locate moisture distribution in rice silo
Authors: Almaleeh A A , Zakaria A , Rahiman M H F , Abdul Rahim Y B , Munirah L , Adom A H 
Published: December 2021

Abstract
Grain storage is an important part of the post-harvest quality assurance process. The moisture level of the grains during storage is one of the primary problems. The current method of measuring rice grain moisture content is based on random sampling, which is relatively localised, and there is no real-time moisture content measurement available. The RF signal was used to build a new technique for detecting moisture and its presence in rice in real-time in this paper. The mapping of an RF signal, in particular, can be transformed into volumetric tomographic images that can be used to forecast moisture distribution.
State of Charge Estimation of Lithium-ion Battery Based on Improved Recurrent Neural Network
Authors: Wang Zhenya , Li Xiaodong , Wang Yahui 
Published: December 2021

Abstract
Aiming at the problem of gradient disappearance and gradient explosion in the recurrent neural network (RNN) algorithm in the battery estimation model, this paper proposes a state of charge (SOC) estimation model developed using an independent recurrent neural network (IndRNN). Firstly, the Thevenin equivalent model of the battery is established, and the parameters of the equivalent model are identified through experiments. Then, the Relu activation function is introduced into the RNN to separate the neurons in each layer. Finally, the model was trained on various experimental data sets collected from the lithium iron phosphate battery experimental platform under different discharge conditions. Without any prior knowledge about the battery interior, the proposed battery model successfully characterizes the non-linear behavior of the battery. The results show that under different discharge conditions, IndRNN is better than RNN in terms of maximum error, the mean error, and the root mean square error (RMSE), which greatly improves the accuracy of SOC estimation.
Progress in ionizing radiation resistance modification of polymer materials
Authors: Zheng Guikai , Zhu Min , Liu Chao , Xiao Qiang , Wang Qiqi 
Published: December 2021

AbstractWith the wide application of polymer materials, much attention has been paid to the modification methods of polymer materials with high-energy radiation resistance to satisfy special environment, such as nuclear industry, space technology, medical equipmen. In this review, progress in ionizing radiation resistance modification of polymer materials is introduced in depth and different modification methods are compared. Finally, future perspectives of this field are discussed.
Structural Design of Extruded Profiles Based on Simulation
Authors: Qin Dezhao , Yuan Binxia , Liu Jianben , Liu Yan 
Published: December 2021

Abstract
In this paper, through the introduction of ABH related theory, a variety of optimized structures are established and compared. By changing the layout of holes in extruded profiles, the vibration characteristics of extruded profiles are studied by using the control variable method. It is found that for single extrusion profile, the through hole (the radius is 8mm to 10mm, the chamfer is 30 degrees) compared with the structure without holes, the natural frequency of the structure is increased by 7Hz from the first order to 20 Hz from the seventh order. For the spliced extruded profiles, the wedge-shaped hole structure with 8mm to 10mm has better vibration damping performance. The application of ABH structure can effectively improve the vibration characteristics of extruded profiles.