bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance evaluation of deep learning techniques for human activity recognition system
Authors: Low Kah Sin , Eng Swee Kheng 
Published: November 2023

Abstract
Human Activity Recognition (HAR) is crucial in various applications, such as sports and surveillance. This paper focuses on the performance evaluation of a HAR system using deep learning techniques. Features will be extracted using 3DCNN, and classification will be performed using LSTM. Meanwhile, 3DCNN and RNN are two additional, well-known classification techniques that will be applied in order to compare the effectiveness of the three classifiers. The 3DCNN-LSTM approach contributes the highest overall accuracy of 86.57%, followed by 3DCNN-3DCNN and 3DCNN-RNN with the overall accuracy of 86.07% and 79.60%, respectively. Overall, this paper contributes to the field of HAR and provides valuable insights for the development of activity recognition systems.
Development of Harumanis Mango Insidious Fruit Rot (IFR) Detection by Utilising Vibration-Based Sensors and PCA with Random Forest
Authors: Salleh NM , Abdullah AH , Sudin S , Zakaria NS 
Published: November 2023

Abstract
Utilising single or multiple modalities systems, non-destructive techniques have been used to assess and determine the quality of mango (magnifera indica L.). It is challenging to anticipate and varies by cultivar at what harvest maturity stage will result in the optimum postharvest quality. Insidious Fruit Rot (IFR) is a disease that affects mangoes. When infected with Insidious Fruit Rot (IFR), the mango variety Harumanis does not exhibit exterior mutilation at the time of harvest or during the mature stage. However, a lack of density in the sinus area can occasionally be detected. Traditional ways of locating the diseases or pests living in the mango are useless for the commercialization of the product. This research presents the investigation done on IFR infection detection using piezoelectric vibration sensors and electret microphones. Data derived by the sensors were processed using the PCA and Random Forest methods to determine the non-IFR and the mango afflicted with IFR. The proposed approach achieved correct classification and is expected to be useful for planters in detecting IFR correctly before Harumanis mangoes were marketed.
IoT Based Smart Betta Fish Monitoring system with fish fatality prediction.
Authors: Julida N.L , Othman S.M. , Ayob M.N. , Rahim N.Abdul , Kanafiah S.N.A.M. , Azmi M.S. Muhamad , Hashim M.S. Mohamad , Talib M.T.M. , Khalid N.S. 
Published: November 2023

Abstract
This study enlightens the importance of rearing water quality to Betta fish health. A water quality monitoring system was developed based on water quality parameters namely water pH, temperature (°C) and TDS level (ppm). Fuzzy Logic Algorithm was applied to predict the possibility of the fish to get infected by the disease using combination of the water quality parameters value. Graphical User Interface (GUI) was developed to test the efficiency of the fish disease prediction system using fuzzy logic algorithm before the fuzzy rule been embedded to the IOT system. Arduino Uno Wi-Fi R2.0 and Blynk Apps used for enabling the system to update the aquarium water quality to owner in real-time. Hydroponic technology implemented in this project for recirculate rearing water inside the fish tank. Theoretically, the aquaponic system will help regulate the water tank parameters in optimum range and Betta Splendens should be free from all diseases.
Algorithm development for Vehicle-To-Vehicle (V2V) communication
Authors: Radman M A Y , Ayob M N , Hasim M S M , Ismail A H , Azmi M S Muhamad , Hassrizal H B 
Published: November 2023

Abstract
This paper presents the development of an algorithm for Vehicle-to-Vehicle (V2V) communication, a crucial technology in Intelligent Transportation Systems (ITS) that holds significant potential for enhancing road safety and traffic efficiency. One of the most common types of vehicle collisions occurs at intersections, particularly those without traffic lights. This study focuses on creating a V2V algorithm designed to prevent collisions in such scenarios. The findings were presented through visual simulations that depict various scenarios involving vehicles approaching an intersection. The algorithm follows a two-step process: Firstly, it utilizes Dedicated Short-Range Communication Systems (DSRCS) to accurately estimate the distance between vehicles. Leveraging this distance information, the algorithm dynamically adjusts the speed of each vehicle. The algorithm’s performance is assessed using Convolutional Neural Networks (CNN), which enables a comprehensive evaluation of its reliability and efficiency in V2V communication. The algorithm demonstrates notable enhancements in the reliability and efficiency of V2V communication. This paper serves as a validation of the feasibility of developing more advanced V2V communication algorithm and potentially making significant contributions to the advancement of ITS.
Validation of Electrical Noise of a DC Motor through Controlled Varistor Cracking: An Experimental Study
Authors: Rudzuan M N , Zainudin G , Nooriman W M , Sofi Y , Nordiana S , Norlaili S , Abdul Shukor S A , Zuradzman M R 
Published: November 2023

Abstract
The varistor is an electronic component that protects the DC motor’s circuitry from electrical noise or transients that can cause damage. It works as a voltage-dependent resistor that can change its resistance according to the applied voltage. Once the voltage surpasses a specific threshold, the varistor conducts and directs the excess voltage away from the motor’s circuitry. In small DC motor manufacturing, ring varistors are vital for reducing electrical noise, minimizing spark-induced damage to the commutator and brush, and extending the motor’s lifespan. Additionally, they prevent damage to electronic parts in the customer’s mechanism set. The objective of this study is to investigate the impact of varistor cracks or chips that may occur during the soldering process of varistors to the commutator. To confirm the occurrence of cracks or chips, intentional damage will be inflicted on the varistors. The study aims to determine how the presence of cracked or chipped varistors affects the electrical noise produced by a DC motor during its operation. The resulting spark was observed through an oscilloscope, and it was found that the effect could be substantial, up to 5 to 10 times the rated voltage supplied to the motor. In the next phase of this study, further tests will be conducted on motors without varistors to provide a comparison.
Data Collection Pipeline for Big Interior Registration and Modelling using 3D Sensor
Authors: Ismail F A , Nathan R K Arumai , Shukor S A A , Johari Jalal 
Published: November 2023

Abstract
This paper highlights on the analysis of several data collection pipeline for big interior using Structure sensor. Data of big, large interior, collected by 3D sensors such as Structure sensor is very crucial and important as it could be used to develop 3D as-built model, where the model can be utilized for various purposes like maintenance, management as well as renovation work. However, collecting data of big interiors can be challenging as the outcome of the 3D model can be less accurate due to dimensions of the big interior which surpasses the range of the sensor. Thus, there is a need to have a proper planning when collecting 3D data representing big interior, especially rooms with clutter and occlusion due to furniture and equipment. This project concentrates on developing and testing suitable pipeline in collecting data representing big interior using Structure sensor. Three different methods were proposed, tested and analysed, where the interior is modelled using MeshLab. Results show that Method Two, which is wall by wall approach, is the most suitable among the other pipeline proposed. Thus, this method can be utilized by professionals and experts when using 3D sensors like Structure sensor in collecting big, large interior data.
3D Reconstruction of embedded object using ground penetrating radar
Authors: Fadil Nur Dina , Ali Hasimah , Zaidi Ahmad Firdaus Ahmad , Kamal Wan Hamirul Bahri Wan , Basri Nurin Amni Mohd 
Published: November 2023

Abstract
Ground Penetrating Radar (GPR) is a non-destructive device widely used to locate and map underground utilities such as pipes, cables, etc. Its principle is based on the reflection signal of a transmitter-receiver antenna that strikes underground objects by means of the propagation of a short pulse of electromagnetic waves into the ground. The GPR will produce a hyperbolic curve as a result of the object’s presence. Accurate interpretation of hyperbola curves is greatly important and highly depends on user expertise; thus, it is considered a challenge. To address this issue, this study aims to develop 3D reconstructions of embedded objects. In this study, C-scan images were acquired, and 3D interpolation and the Synthetic Aperture Focusing Technique (SAFT) were introduced. In this framework, the acquired data is subjected to pre-processing techniques via time-zero correction, background removal using average background subtraction, and Kirchoff’s migration method. The software Reflex 3D Scan has been used to analyse and preprocess the 3D reconstruction of embedded objects. The obtained results show that 3D interpolation and SAFT methods are not only able to reconstruct 3D models but are also able to reveal information on the dimension and location of the buried object represented by voxel points in the 3D space cube.
Analysis of Signals from Air Conditioner Compressors with Ordinal Patterns
Authors: Costa Keila B. , Frery Alejandro C. 
Published: November 2023

Abstract
Most machines have devices that monitor their operation. In particular, air conditioners are routinely monitored through several measurements. A desirable outcome of such monitoring is identifying when the device will likely require maintenance. We present the use of Ordinal Patterns, a symbolic transformation of time series, that enables the visual assessment of the type of operation. We juxtapose two machines in different operational conditions, from which six variables are measured. We analyze the expressiveness of these measurements and identify those that best separate the two machines. The technique is visually appealing because it outputs points in a plane whose position reveals hidden dynamics.
Performance Evaluation of Different Devices and Algorithms for Modelling Small Artefact
Authors: Tazudin H , Shukor S A A , Johari J 
Published: November 2023

Abstract
3D reconstruction and modelling play important roles in various applications, specifically in heritage preservation. With the aid of suitable hardware like the 3D sensors as well as respective data processing methods, the work has become more feasible in realizing the aim to conserve and preserve more artefacts. However, too many choices and alternatives might lead to different results which may affecting the preservation purpose. The objective of this work is to analyze and evaluate the performance of different devices and algorithms for small artefact modelling. Two 3D sensors, iPhone 13 Pro Max LiDAR and Structure sensor were selected to collect data of small artefact to be reconstructed and modelled. Two main, important surface reconstruction algorithms which are Poisson and Ball-Pivoting methods were also selected to be tested. Specifications of the sensors’ capabilities as well as modelling results of the artefact are examined. Different parameters of the algorithms were selected to study their effect. These findings will help to learn more about 3D sensors and the suitable modelling methods in making them better for usage in a variety of areas, including archaeology, architecture, and the protection of cultural heritage.
Design and Development of Cascaded Current Control in DC Motor Variable Speed Drive using dSPACE
Authors: Ahmad Firdaus A Z , Davendren T , Azmi S A , Hwai Leong Jenn , Kamarudin Kamarulzaman , Hassan Azlini , Ali Hasimah , Azalan Mohd Shuhanaz Zanar , Mamat Normahira 
Published: November 2023

Abstract
Even today, DC motors are still used in variety of applications, including home appliances, transportation, as well as industrial crane and rolling machine. However, achieving precise speed and torque control in DC drives at industry level could be challenging, as instability and reduced efficiency remains at large. This project focuses on developing a cascaded control system for a Separately Excited Brushed DC motor using dSPACE platform. The cascaded control system, designed using MATLAB Simulink, incorporates a proportional-integral (PI) controller at the speed loop and a Hysteresis controller at the current loop to improve robustness and dynamic performance. The experimental setup utilizes the dSPACE 1104 platform, an asymmetric bridge converter board, gate driver, and electrical load. Speed measurement is done using an incremental encoder, while current is measured using the ACS712 current sensor. The drive system was tested in alternate low and high speed cycle on various load level to test for stability, robustness and dynamic performance. The proposed control system was compared with PI-closed-loop control and open-loop control determine the best drive performance. Experimental results showed significant improvement in term of transient response and ripple reduction of speed and current for proposed cascaded current control over the closed-loop design.
Reproductive biology of endemic sailfin silversides fish Telmatherina antoniae Kottelat, 1991 in Matano Lake, South Sulawesi
Authors: Agustini S A P D K , Kamal M M , Mashar A , Sulistiono  , Chadijah A 
Published: November 2023

Abstract
Sailfin silversides (Telmatherina antoniae) is an endemic species from Matano Lake, South Sulawesi. This study aims to learn about sailfin silversides’ reproductive aspects including sex ratio, length at first maturity, gonad maturity stage, gonad maturity index, fecundity, and egg diameter. Fish samples were taken using multifilament nets from March 2018 until February 2019. A total of 1,792 individuals fish comprises 922 males and 870 females were captured during the study period. The sex ratio was found in a balanced condition with 1.06:1. Length at first maturity for males and females were 48.08-57.73 mm and 56.78-68.55 mm, respectively. Based on sailfin silversides’ gonad maturity stage and maturity index are thought to be year-round spawning with a peak spawning season around March. The reproductive potential of sailfin silversides fish is estimated to be 179–1,690 eggs. Based on the egg diameter distribution, the sailfin silversides fish is classified as a partial spawner.
Oral supplementation of low alginate dose in diet stimulates immune response of Litopenaeus vannamei at concrete circle pond mass culture
Authors: Yudiati E , Widiasa I N , Sunaryo S , Ridhuwan R , Tadeus D Y , Arifin Z , Mangkusasmito F , Sugiyanto S , Setyawan D A 
Published: November 2023

Abstract

Litopenaeus vannamei is popular due to its ability to grow in different scales of rearing as a valuable export product. This research aimed to define the impact of alginate diet supplementation in a low dose as an immunostimulant strengthens the non-specific immunity of shrimps. The study was conducted in 20 tons concrete circle ponds with two treatments at the density of 400 ind.m-2. First, there were control A and B, and secondly, there was the addition of 1.0 g alginate in 1.0 kg of feed namely alginate 1.0 g kg-1 (A and B). Shrimps were reared for 30 days, and the non-specific immune parameters were assessed on 22 and 30 days of rearing. The parameters covered in this study were THC (total count of hemocyte), PA (activity of phagocytosis), PI (index of phagocytosis), PO (phenol-oxidase), SOD (superoxide dismutase), and LYZ (lysozyme) activity. Results showed that the THC/PA/PO, and LYZ enzyme activity of sodium alginate treatments were higher than the control (p<0.05), though the PI, SOD, and weight gain at the end of the experiment have not shown any differences. It is concluded that the supplementation of alginate at 1.0 g kg-1 enables to increase in the shrimps’ immune system and this application is projected to be useful in terms of blocking out the large-scale application of immunostimulants in ponds.
Impact of predigestion feed on the growth of tilapia (Oreochromis niloticus)
Authors: Pradani A N , Wildan D M , Sulistiono  , Affandi R 
Published: November 2023

Abstract
The addition of simplified feed or predigestion feed is one of the alternative solutions in helping the process of utilizing feed by tilapia seeds with incomplete digestive tract conditions or limited secretion of digestive enzymes. The purpose of this study was to analyze the impact of predigestion feed on the growth of tilapia (Oreochromis niloticus). The design used in this study was a completely randomized design (CRD) with treatments in the form of differences in pancreatic enzyme concentrations (0%, 3%, 6%, and 9%) with 3 replications each. Parameters observed include the coefficient of diversity, specific growth rate (SGR), and feed efficiency. The results of this study showed that the lowest coefficient of diversity, the highest specific growth rate, and the highest feed efficiency were owned by the 9% treatment with a value of 16.07%, 4.95 %/day, and 84.02%, respectively. Provision of predigestion feed on tilapia fry significantly affected the growth of tilapia (Oreochromis niloticus). Provision of predigestion feed with an enzyme concentration of 9% gave optimal results.
Irrelationship between live coral cover and reef fish: an interim study of marine habitat dynamic on Mandangin Islands
Authors: Prabowo B , Bramandito A , Darus R F , Rikardi N , Rasyid N , Kurniawan F , Christian Y , Afandy A 
Published: November 2023

Abstract
Most coral reef ecosystems with high coverage of living coral would escalate the reef fish abundance and species richness as one of the correlatable communities to the coral reef. However, reef fish could only utilize one of the coral reef ecosystems to provide to the reef fish community that still withstand and adapt to those conditions. This study aims to assess the coral reef ecosystem quality on Mandangin Islands and the correlation between the benthic substrate to the reef fish structure. Coral reef ecosystem was assessed using Line Intercept Transect and Underwater Visual Census. A linear model or regression analysis was built to identify the key predictors driving factor in the ecosystem. Rock, Sand, and Rubble are the highest benthic substrate around Mandangin Islands. Reef fish have a high abundance along the observation site with exhaustive trophic level, high major functional group, broad bodied size with high abundance small to moderate bodied-size. Rock has a positive correlation to reef fish abundance; Sand has possibilities to escalate species richness, whereas live coral negatively correlates to reef fish. Historically Mandangin Islands contained a healthy coral reef ecosystem that degraded after years, yet reef fish withstand and adapt to the Mandangin Islands’ degraded coral reef ecosystems. Rock is coral that loses several of its function, especially as direct nourishment. This study showed that reef fish should be considered as one of the primary data to strengthen the decision-making of Integrated Coastal Management and Oil Spill Contingency Plans by the Oil and Gas Company.
Location assessment for coral reef transplantation program in Karawang Waters, Indonesia
Authors: Zuhri M I , Mawardi W , Hascaryo B , Permatasari P A , Handayani L D W , Amalo L F , Putra M D , Munggaran G , Darmawangsa P N 
Published: November 2023

Abstract
Environmental degradation caused by anthropogenic activities and climate change has an impact on the habitat of organisms and biodiversity. Coral reefs are one of the sensitive ecosystems that are strongly influenced by environmental changes. Poor environmental conditions in the Java Sea and global warming are the main factors that affect the sustainability of coral reef ecosystems in Karawang waters. Coral reef transplantation is a method that has long been used to revitalize coral reef ecosystems. This study aims to assess the ideal location used for coral reef transplantation program in Karawang Waters. Through a field survey, the percentage of coral reef cover, dead coral, hard coral, algae, and biotic and abiotic components at several sampling points in 2019 to 2022 was obtained. The sampling location with the poor conditions are considered to be used as transplant locations. Based on analysis result, only 1 out of 3 locations that are suitable to be used as locations for coral reef transplantation programs.
Physico-chemical properties and pollution status of the rivers at Konaweha watershed, Southeast Sulawesi
Authors: Aisyah S , Santoso A B , Apip  , Wibowo H , Verawati D 
Published: November 2023

Abstract
The Lasolo - Konaweha watershed is a river area in Southeast Sulawesi, Indonesia. It is a source of water for various sectors including irrigation and non-irrigation needs, and functions as a source of drinking water for several communities and industries. However, population growth and human activities have led to water quality degradation in the area. Many methods of determining water quality status have been developed, one of them is the pollution index (PI) method. The purpose of this study was to evaluate the characteristics of physico-chemical and determine the pollution status of the Lasolo – Konaweha watershed. The study utilized secondary data from the Hydrology and Water Quality Unit of the Sulawesi IV River Basin Center in Kendari, collected in 2020. The water quality data were analyzed according to the Government Regulations of Republic Indonesia No. 22 of 2021, and the pollution status was determined using the pollution index (PI) method. The water quality data were compared spatiotemporally using analysis of variance (ANOVA). The study found that several parameters were outside the water quality standards, including pH, total suspended solids (TSS), dissolved oxygen (DO), chemical oxygen demand (COD), methylene blue active substances (MBAS), and phenol. These parameters indicated a moderate to heavily polluted status for the Lasolo - Konaweha watershed. The study also found a strong correlation between water discharge and conductivity.
Community local awareness in respecting coastal land conservation in Cemara Labat Village of Central Kalimantan
Authors: Tito M , Ludang Y , Sidauruk S , Sunaryati R 
Published: November 2023

Abstract
Utilization of coastal land in the community of Cemara Labat Village has been passed down from generation to generation. The people of Cemara Labat Village still maintain the tradition of coastal land management, such as planting certain types of mangroves, prohibiting cutting down mangrove forests and hunting animals which are regulated in unwritten customary law or local wisdom. Utilization of coastal area resources by humans from time to time continues to increase. The intensity of exploiting the potential of coastal areas resources often does not pay attention to the carrying capacity and principles of optimal and sustainable use of natural resources. Therefore, the mangrove forest ecosystem in Cemara Labat Village needs to be preserved both ecologically and biologically with an awareness approach to local wisdom. The results showed that Avicennia marina species had a very high dominance (80%) in the mangrove forest area of Cemara Labat Village, for animal especially in the mangrove forest area, was bird dominant species (Aves), while the level of community participation in mangrove forest conservation was moderate (75%).