bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seismicity Analysis and Velocity Structure of the Two-Phase Geothermal Field in West Java, Indonesia: Preliminary Result
Authors: Firdaus Al Hakim Muhamad , Sule Rachmat , Hendriyana Andri 
Published: August 2019

Abstract
We observed 754 microearthquake data by at least 15 stations for six months as a tool to monitor and characterize the subsurface condition in two-phase geothermal field in Southern Bandung. The data were reduced to 417 events having azimuthal gap less than 180°. We determine the initial earthquake locations in this study by using Geiger method and we update the hypocenter locations by performing simultaneous inversion for hypocenters and 1D velocity structure followed by 3D tomographic inversion. We obtained the velocity structure by utilizing TomoDD to perform 3D tomographic inversion. There are four clusters of seismicity observed in this study which we suspected related to the injection, production, and tectonic activity of the study area. The southern cluster is consistent with the location of injection wells and spread from 1 km depth to 8 km depth, indicating that MEQ events were triggered by injection activity. The production area is characterized by a denser population of events and the events were distributed closely ranging from 1 to 3 km depth. We suspect that the third cluster is caused by development activity of steam dominated geothermal field omit in the east of our main field. The fourth cluster is located in the southernmost of our area and suspected caused by tectonic activity. Low Vp/Vs values near to the surface are observed in the north direction and coincide with the location of the first cluster. The location of anomaly is highly corresponded with the production area and the low value of Vp/Vs anomaly is interpreted as the steam zone.
Reservoir characterization using multiattribute analysis in SLS field, Upper Cibulakan Formation, North West Java
Authors: Indah Sulistyorini Okta , Sukmono Sigit , Sita Ambarsari Dona , Normansyah  
Published: August 2019

Abstract
SLS field is one amongst the biggest in North West Java block and has been operated, exploitated since more than 40 years ago. Upper Cibulakan Formation which deposited back in Early to Middle Miocene, has been contributing large number of hydrocarbon production. Upper Cibulakan was formed in shallow marine depositional environment and consists of interbedded sandstone and claystone with carbonate units in some area. Professionals, especially geologists and geophysicists should be able to tackle the challenges encountered in order to perform effective interpretation on existing assets. In this case, the writer found out that Accoustic Impedance interpretation is not appropriate enough to describe the reservoir. In addition, there are several limitations in data availability such as seismic data in post-stack time migration that hold us to perform further interpretation such as AVO or Vp/Vs and also the absence of several logs in the well data. Based on said reasons, the writer applied multiattributes analysis on the available data to predict S-wave log, and generate Mu-Rho volume analysis to support the analysis obtained from accoustic impedance analysis. Merging the two interpretations, the writer concluded a recommendation of prospect area with porosity >20% and Mu-Rho >7,5.
Comparison of Very Fast Simulated Annealing and Modified Particle Swarm Optimizaton Inversion Method for 1-D TDEM Data Modelling
Authors: Prabawa R S , Warsa  
Published: August 2019

AbstractTime domain electromagnetic method (TDEM) is a geophysical method that can be applied to a wide range of problem. TDEM data requires non-linear inversion in its modelling because of the complex relationship between data and model. A global approach is an approach in nonlinear inversion calculation which is not sensitive to the initial model and capable of obtaining global minimums. Previous studies proved that one type of inversion method will not give the most satisfactory results for all different types of inversion problems. For this reason, this study was conducted to discuss the performance of global non-linear inversion methods for 1D TDEM data modelling so that future inversion process can be carried out more optimally. In this study, the performance of VFSA and MPSO inversion method in the modelling of synthetic and field 1D TDEM data is compared. The inversion modelling is done multiple times in order to consider the random factor present in both methods and also to compare the result’s variability of each method. From the result of synthetic data inversion, it can be seen that there is a variation of inversion performance between models which is caused by the ambiguity in 1D TDEM. Based on the comparison of the two methods, MPSO performs better in inversion of data with lower level of ambiguity, and vice versa. Overall, it is concluded that the VFSA method performs better than MPSO because it has lower variability and gives better inversion results for data with high ambiguity which is usually the case for real 1D TDEM data.
Updating Hypocenter Relocation in Indonesia using 3D Seismic Velocity Model: Period of April 2009-March 2018
Authors: Dian Nugraha Andri , Rosalia Shindy , Widiyantoro Sri , Supendi Pepen , Wiyono Samsul , Daryono  
Published: August 2019

Abstract
In the past 2 years, we have been conducting routine hypocenter relocation in Indonesia. We compiled and conducted hypocenter relocation of ∼50.000 events from a magnitude of 1.4 to 8.5 recorded by 451 stations around and outside Indonesia region. We used local, regional, and teleseismic arrival time data from Indonesian Agency of Meteorology, Climatology, and Geophysics (BMKG) catalog from April 2009 to March 2018. We performed teleseismic double-difference relocation inversion using our previous study of 3D seismic velocity model beneath the Indonesian region with grid size 1∘ by 1∘ for inside Indonesia region and 1D global seismic velocity model from AK135 for outside Indonesia region. This method improved limitation from BMKG earthquake data catalog in which events were recorded from scattered seismic station array and insufficient azimuthal gap around Indonesia. Our results show that travel-time RMS residuals were greatly reduced compared to those of the BMKG catalog and the hypocenter location shows significant improvement, refining to the geological structure, especially trench and major faults. These hypocenter relocation results can be helpful for another seismic study in Indonesia region that required a precise hypocenter location e.g. body wave tomography and probability seismic hazard analysis.
Adipic Acid Crosslinked Nanocrystalline Cellulose/Chitosan Composite: Tensile Properties and Crystallinity
Authors: Gan P.G. , Sam S.T. , Abullah M.F. , Chow C.C. 
Published: August 2019

Abstract
In the present study, empty fruit bunch derived nanocrystalline cellulose (NCC) was prepared and employed as a reinforcing agent to improve the tensile properties of the chitosan composites. Adipic acid was added as a crosslinker. The incorporation of NCC has greatly improved the tensile properties of composites. The crosslinking reaction has further improved the tensile properties. 3 wt% NCC/chitosan composites displayed the highest tensile strength which is 48.7MPa and 65.3 MPa without and with the addition of crosslinker respectively. The X-ray diffraction (XRD) results showed that the crystalline peak of chitosan composites was significantly improved by the addition of NCC however the crystallinity peak was decreased by the incorporation of adipic acid.
Biological performance of integrated fixed film activated sludge (IFAS) process
Authors: Zahari N. M. , Khairuddin P. N. , Mohiyaden H. A. , Sidek L. M. , Mohamad D. 
Published: August 2019

Abstract
The aim of this paper is to explore the information and analyze the performance of bio ball and spawning brush media in order to compare the findings of the performance of both biomedia by using Monod Model Equation. The integrated fixed film activated sludge (IFAS) process uses aeration and biomedia of spawning brush and bio ball which are placed fixed in the reactors 1 and 2 respectively. The duration of the study was conducted in 10 days which consist of two-phase which the first phase is monitoring water quality parameter and apply the Monod equation to obtain the performance of the biomedia as the second phase. Chemical Oxygen Demand (COD) removal of reactor 2 has a slightly higher average of 61% as compared to reactor 1 with an average of 57.50%. Thus, the COD removal is more consistent in reactor 1 compared to reactor 2. From this results concluded that IFAS system has a good performance in I terms of low loading wastewater sources.
Microstructure and Mechanical Properties of Cold Rolled AISI 1018 Low Carbon Steel
Authors: Salman Khansaa D. 
Published: August 2019

Abstract
In this investigation, mechanical properties and microstructure of AISI 1018 low carbon steel in the form of strips with the dimensions about 50 × 25 × 4 mm subjected to cold rolling gradually by 20, 30, 40, and 50% were studied. The effect of the percentage of cold rolling on the mechanical properties of AISI 1018 low carbon steel was estimated by using tensile test, Brinell hardness test. The tensile test was done by using Universal Tensile Machine (UTM) to define yield strength and tensile strength as the percentage of increasing in the deformation, while the Brinell hardness number was obtained for each percentage of rolled deformation. Also, the microstructure of the specimens was analyzed by optical microscope. The results of this investigation show that the yield strength decreased with increasing the percentage of cold rolled as 300,233, 200, and 171 MPa, while the tensile strength decreased as 368, 297, 274 and 238 MPa respectively. While Brinell hardness number increased with increasing the percentage of rolling deformation as 145, 192.1,221 and 240.3 (HB) respectively. This is, in turn, show that increasing brittleness as a result of increasing rolling deformation. The photomicrographs of the specimens show that increasing in percentage of cold rolling leads to stretch the grains, which consist of fine ferrite grains with the pearlite grains.
Evaluation of particle removal efficiency in sedimentation tank incorporating bottom grid structure
Authors: Chow M.F. , Ruzaiman A. S. , Rashid F. A. , Chong S.T. 
Published: August 2019

Abstract
A series of comparative experiments, with and without BGS, were carried out in a 2mx1mx1m tank. Samples used were taken from highway runoff and the BGS tested was in 1.3cmx1.5 cm size. The experimental results indicated that the particle removal efficiencies with the application of BGS were about 6% higher than when tested without the BGS for flow rates ranges from 0.2 l/s to 0.5 l/s. SPLIT was developed in the laboratory to test the effectiveness of the system to retain and treat stormwater particles. A series of experiments were conducted with different inflow rates and particle concentrations. The results showed that SPLIT system was able to remove >80% of the particles (measured as TSS concentration) from the laboratory-simulated stormwater runoff. The particle size analysis also demonstrated that reductions in the d50 of the samples in the laboratory testing from 300 µm (influent) to approximately 50 µm (effluent). Reduction in other pollutants that associate with particles is depending on their concentration association by particle size. The laboratory testing results had proved that SPLIT system was able to retain and remove the particles and pollutants effectively under various inflow rates.
Evaluation of Kerf as a Crack Arrestor in a Plate under Tension Loading using FEA
Authors: Firdaus M. , Abdul Manan M.S. , Annuar A.F. , Mustaffa M.T. , Azamudin M.E. 
Published: August 2019

Abstract
Crack arrestor means to prolong the life cycle of the crack. There are many methods has been studied to arrest crack but the use of a kerf as a crack arrestor has not been widely studied. Initial study has stated that the value of SIF at the crack tip can be reduced with the presence of the kerf in the same body, but detail dimension of the kerf that will produce best arresting effect is unknown. The finite element analysis was used to model the finite plate which contains different kerf geometries and a crack to obtain crack’s tip stress intensity factor. Four types of kerf’s configuration have been considered which are; single central kerf, double central kerf, single edge kerf and double edge kerf. Each type used different kerf’s geometries selection that is predicted will produce higher kerf-crack interaction. The results of SIF were calculated as a percentage reduction when compared to SIF of a single edge crack without any kerf. Results show double edge kerf type is the most suitable for crack arrestor. Maximum percentage SIF reduction of 34.27% can be achieved when the crack is the shortest and separation to width ratio equal to 0.1. If the longer crack is detected on a structure, highest percentage SIF reduction can be achieved by fabricating maximum kerf length with separation to width ratio in the range of 0.15 and 0.25.
Investigation on Antioxidants Compounds Composition Contains in Leucaena Leucocephala (Petai Belalang)
Authors: Zarina Z , Ruzaidi C M , Sam S T , Mustafa Al Bakri A M 
Published: August 2019

Abstract
The main objective of the current work was to investigate the unknown compound composition contains in Leucaena Leucocephala (Petai Belalang) to prove that there were antioxidants properties presents in the leaves and seeds of the plant. High-performance liquid chromatography (HPLC) and Fourier-transform infrared spectroscopy (FTIR) were used to characterize the samples. It was found that for both leaves and seeds sample of Leucaena Leucocephala, the spectrum had shown the main existence of alcohol (O-H bond. As the O-H bond is the main element of antioxidant and phenolic compound, the FTIR analysis shows for the high possibilities for the present of antioxidant and phenolic compound in the leaves and seeds of Leucaena Leucocephala. Further analysis using HPLC, both seed and leaf sample shows for the presence of the same compounds, identified as apigenin, caffeic acid, formic acid, isorhamnetin, keampferol, luteolin and quercetin, but by comparing the peak, can be concluded that the compounds in seed are higher than the compounds in leaf.
Graphene Multi-layer on Plastic Substrate
Authors: Ramli Muhammad M. , Mat Isa Siti S. , Henley Simon S. 
Published: August 2019

Abstract
Vacuum filtration method was used in order to fabricate a homogeneous and uniform thin film of multi-layer graphene on plastic substrate. This self-regulating technique allows the number of graphene layer to be controlled thus controlling the film thickness by simply varying either the concentration of the graphene in the suspension or the filtration volume. Measurement of the sheet resistance as a function of graphene concentration in solution shows the percolation behavior of multi-layer graphene films.
Optimization Parameters to Reduce the Warpage Defect of Plastic Injection Molding Process for A Thin-Shell Part Using Design of Experiment
Authors: Radhwan H , Nasir S M , Rashidi M M , Kamarudin K , Abdellah Abdellah el-hadj 
Published: August 2019

Abstract
Development of light, small and thin plastic products that possess high strength characteristic such as electronic devices have become one of the tremendous demands in the plastic injection molding industry nowadays. However, smaller and thinner wall part design has increased the possibility for the parts to warp. The aim of this study is therefore to determine the best set combination of molding parameters that could reduce the warpage defect. There are six parameters that have been selected in this study which are mold temperature, melt temperature, packing time, cooling time, injection time and packing pressure. Taguchi orthogonal array is used to simplify the experimental runs. The analysis is done by applying S/N ratio approach and ANOVA method. Based on the results obtained from the analysis, it is found that the best set combination parameters give out the smallest warpage value.
Design and Analysis of Jigs and Fixtures for Manufacturing Process
Authors: Radhwan H , Effendi M S M , Farizuan Rosli Muhamad , Shayfull Z , Nadia K. N. 
Published: August 2019

Abstract
This final year paper report is about the design and analysis of jigs and fixtures for manufacturing process. For this project, it is focus on the perspective of the job handling to produce the part. Currently, they implement the manual handling to assembly each component. Improvement that is trying to do is by replace the manual handling for the process by designing the semi auto jig for this process. The objectives of this project are to investigate the collected data and analyse the design of jig and fixture to ease work handling. The methodology of research procedures covered on this project consists of collect data, brainstorming and interprets data, design concept, and documentation. The design of jig and fixtures is using Unigraphics NX7.5 software. The data that can be studied include the analysis of Finite Element Analysis (FEA) using CATIA software, the analysis of design ergonomic, the time study analysis and cost analysis. At the end of this project, this research will be able to give understanding about jig and fixture, design by using Unigraphics NX7.5 software and finally able to do the analysis for the selected part of product by using FEA and other relevant analysis
A Modified Artificial Bee Colony Algorithm for Function Optimization Strategy
Authors: Chen Chang-feng , Daud Nasarudin bin , Zhou Kai-qing , Elisha Nyamasvisva Tadiwa 
Published: August 2019

Abstract
Artificial Bee Colony (ABC) algorithm has received wide attention due to the outstanding performance in solving complex optimization problems. However, the further application of ABC is still hindered due to some bottlenecks, such as slow convergence velocity, poor global search ability and low accuracy of solution. To overcome these problems, an improved ABC (CT-ABC) is proposed in this paper by using both a chaotic map and a tolerance based search equation (TSE). Some standard test functions are chosen to verify the performance by implementing the proposed modified ABC algorithm, basic ABC and another modified ABC (WABC). Simulation results reveal the proposed CT-ABC algorithm is able to obtain the faster convergence speeds and better accurate approximate solution.
E-learning prospect on improving academic performance in Omani Universities
Authors: Tawafak Ragad M. , Romli Awanis , Abdullah Arshah Ruzaini 
Published: August 2019

Abstract
This paper will discuss the impact of E-Learning prospect on the improvement of learner academic performance of Oman universities. The study explains the needs to expand working on E-Learning models and continue use of face to face traditional educational process. The real problem faced education is a need for several applications and technologies to improve their outputs and improve on teacher-student prospect. This paper aims to present an expanded review of different E-learning models to evaluate the prospect of their academic performance. The method of this paper divided into two phases. In the first phase, including the analysis of different technologies and most used tools affected in the educational process to measure the acceptance of learning outcomes. The Second phase, show the testing and validation of learner prospect of E-Learning to enhance the learning process and improve the academic performance.
Simulation and Modelling the Human Crowd Evacuation
Authors: Akma Abu Bakar Noor , Abdul Majid Mazlina , Adam Khalid 
Published: August 2019

Abstract
The operational research (OR) become one of emerging areas and significance and its relevance to be used in the simulation and modelling. To simulating and modelling the crowd evacuation, the most important elements to have in a realistic model is the appropriate simulation technique. To simulate the evacuee’s movement in crowd is still in research and challenge because of the emergence and become a complex task and dangerous for the real and actual case. The computational simulation technique is required in order to model the crowd evacuation as one part of OR and become a solution to represent the fire crowd evacuation in the closed space e.g. Building relates to human movement and its states. The theories and concept of computational method allows for creating, analysing and experimentation. The techniques; Agent-Based Simulation (ABS), Social Force Model (SFM) and the hybrid SFM/ABS has been proposed for this research work. SFM is the well-known and popular technique for crowd evacuation while ABS is best-known, intelligent and appropriate to imitate the human movement. This paper provides a review of this research work from an OR perspective and the outcomes of a review of the computational simulation techniques literature are presented, using a proposed conceptual model will be valuable for future researchers, and modellers alike.
Deep Learning Layer Convolutional Neural Network (CNN) Scheme for Cancer Image
Authors: Zainudin Z , Shamsuddin S M , Hasan S 
Published: August 2019

Abstract
Recent years, in medical image especially cancer detection used whole slide digital scanners, called as histopathology image (images of tissues and cell) where it can now be keep in digital images. Consequently, using Deep Learning will help pathologist in cancer detection (cancer cell known as mitosis). In this paper, we are using Deep Learning Layer Convolutional Neural Network (CNN) for cancer classification using histopathology image and used AMIDA dataset which are related on female breast cancer dataset. Mitosis is an important parameter for the prognosis/diagnosis of breast cancer. However, using histopathology image for cancer detection is a challenging problem that needs a deeper investigations. This problem occurs when to classify mitosis because mitosis is small objects with a large variety of shapes, and they can thus be easily confused with some other objects or artefacts present in the image. In this paper, the objective to find the suitable layer for Deep Learning Convolutional Neural Network and reduce the loss rate.
Conceptual Design of a Generic Nodal Abstraction (GNA) for a Human-Agent Collaboration Systems
Authors: Abbas Mohammed Khudhair , Abdul Majid Mazlina , Sharifuddin Ahmad Mohd 
Published: August 2019

Abstract
The issues of modelling software agents in collaborative systems present some problems and difficulties caused by the diversity of tasks and the procedures attached to them. Consequently, such diversity poses a critical challenge to implement scheduled tasks. In this paper, we propose collaborative human-agent system in which a software agent collaborates and cooperates with its human counterpart in several job positions of an organization. The goal of the GNA approach is to improve collaboration between humans when performing tasks within a workflow process. The GNA is built based on the concept of a node which comprises of a human, agents, and their shared functions. This concept espouses the notion that agents could be deployed to assist humans in many common workflow processes and to handle mundane tasks. Furthermore, a multi-agent system is advocated as an application or platform for managing distributed data. Specifically, this paper describes a conceptual design of a generic approach based on the notion of nodes to construct a Generic Nodal Abstraction (GNA) approach that is deployable as a modeling and simulation platform for organizational processes.