bluuebunny/crossref_metadata_2025_split huggingface dataset:
Indonesian “tsunami-generation” in a nutshell: systematic literature review
Authors: Amahoru Afifah Hanum , Ridho Ainur , Lukafiardi Radikal , Bisri Mizan Bustanul Fuady 
Published: October 2023

Abstract
Publications related to tsunami-generation phase hold 42.8% of all the publications over all tsunami hazard literatures in Indonesia. Corroborating the fact, tsunami-generation studies are also vital in determining the type of propagation and inundation that may appear in the surrounding coastal regions, which in practice, can also help determining disaster management specifics and risk reduction activities. A literature review regarding tsunami-generation has been done for those purpose by using our CARI! Knowledge Engine, which includes collections of both International and Indonesian journals within the scope of Indonesian locus context. This study unpacks publication trend, the most influential articles, top contributing journals, top main authors, top institutions, and dominant countries as well as the science mapping of tsunami-generation subjects. To gain deeper understanding, we also develop tsunami-generation research framework within the basis of tsunami generation force, time occurrence, monitoring, and measurement approach, as well as hazard analysis approach. From the review, an interesting peak of tsunami-generation publications has been shown in 2020 (39 publications), following the occurrence of several Indonesian major tsunamis in the previous decade and the globally impacting Aceh Tsunami (or the Indian Ocean Earthquake and Tsunami) in 2004. Among all the publications of tsunami-generation force, tsunamigenic earthquake has become the most studied topic (67.7% of all publications), while the most discussed atypical sources mainly come from volcanic eruption (46.67% of all atypical literatures) and submarine landslide (33.33% of all atypical literatures). In terms of tsunami-generation source, it is found that the Sunda Megathrust has been the most-discussed location, which is mentioned within 39 publications, followed by the Palu-Koro Fault with 18 publications and the Krakatau Volcano by 16 publications. Apart from the notice of significant difference between research of historical tsunami and paleotsunami (120:5 publications), some gaps also can be found when discussing the meteotsunami-generation mechanism in Indonesia and the Global Navigation Satellite System’s Total Electron Content (GNSS-TEC) method, which, although proven beneficial for the development of tsunami early warning system, accuracy is still the main issue in capturing tsunami signals and positioning actual source location of tsunami. These were some highlighted limitations that arise in our process to understand tsunami-generation mechanisms and the exploitations of the knowledge. Therefore, future studies specifically within these areas are further encouraged.
Long-term trend and variability of ocean heat content in the Indonesian Maritime Continent
Authors: Mujiasih Subekti , Ismail Mochamad Furqon Azis , Basit Abdul , Ratnawati Herlina Ika , Hatmaja Rahaden Bagas , Lekalette Johanis Dominggus 
Published: October 2023

AbstractThe evolution of 64 years of the ocean heat content for the upper 300 meters (OHC300) in the Indonesian Maritime Continent, viz the Banda Sea, the Sulu Sea, the Java Sea, and the Karimata Strait, was investigated using the combination of ocean and atmosphere reanalysis data. The study aims to understand its long-term trend variability and association with El Niño-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD). The result showed a positive trend in all basins except the Banda Sea. The most significant rise was the Sulu Sea. The IOD fluctuation was more pronounced in the Western part of Indonesia. In contrast, the ENSO variation was more apparent in the Eastern part of Indonesia. The coincided La Nina events and the negative IOD significantly increased OHC—conversely, the coinciding of the El Niño events and the positive IOD caused a decrease in OHC magnitude. The significant factor increasing OHC in the maritime continent is the ENSO fluctuation, followed by the IOD fluctuation.
Mapping of Tsunami Evacuation Routes and Shelters in Batukaras Village, Pangandaran Regency, Indonesia
Authors: Hafizh Farras Rizqy , Marsekal Berto Noven , Nusantara Candida Aulia De Silva , Windupranata Wiwin 
Published: October 2023

Abstract
Batukaras is a village located on the Southern Coast of Java Island. The village is part of Pangandaran Regency, one of the top tourist destinations in West Java. Every year, the village attracts national and international tourists alike to Batukaras beach, famous as a surfing destination. However, the village has seen records of tsunami as recently as 2006, where a tsunami from a 7.7 magnitude earthquake struck the village and caused the death of hundreds and economic losses valued at millions of rupiahs. A series of activities aimed to increase disaster preparedness in the village has been done ever since. Recently, a team from ITB Research and Community Service Institute (LPPM) has made an effort to identify IOC-UNESCO Tsunami Ready indicators in Batukaras Village. Part of the effort is to identify tsunami evacuation routes in the village. Field observation was done to locate evacuation shelters and signages around the village, and the data is presented in the form of a tsunami evacuation map. Our study resulted in a successful mapping of evacuation routes and shelters in Batukaras Village. Furthermore, the data can be used towards the fulfillment of the IOC-UNESCO Tsunami Ready indicators in Batukaras Village.
Identification of Non-Impact Livelihoods on Mangrove Resources in Can Gio, Vietnam
Authors: Hoa L T , Thuy N T T 
Published: October 2023

AbstractThere are several negative impacts on mangrove resources related to 11 existing livelihoods in Can Gio district, where socio-economic development has created many changes in livelihood conditions and ecological environment of the mangrove forests [1]. As a result, the study focuses on identifying and selecting livelihood types that have no impacts on mangrove resources based on primary data collected from 537 structured questionnaires and 45 in-depth interviews with experts, forest keepers and local households about understanding of the activities of 11 current livelihoods and environmental conditions of the study areas in the past 10 years.Qualitative data analysis, non-impact livelihood scale and AHP analysis allow the analysis and identification of 6 livelihood types appropriate for the goal of avoiding mangrove resource degradation to conserve, maintain, and sustainably develop mangrove ecosystems for Can Gio Mangrove Biosphere Reserve.
Maritime security or economic growth: The choice of stakeholders in coastal tourism development in Binh Dai district, Ben Tre province, Vietnam
Authors: Lan N T P , Thanh D T N 
Published: October 2023

Abstract
Coastal tourism emerges as a diverse, dynamic, fast-growing, and economically attractive form of contemporary tourism that encompasses a range of tourism, leisure- and recreational-oriented facilities and activities. As the coastline resembles a composite of ecological, social cultural, and economic values, it is of considerable interest to people, processes, and industries. Vietnam possesses the strategic advantage of a vast coastline spanning the entire length of the country, coupled with its location within the language zone of the East Sea, a crucial trading route for global commerce. Alongside the exploitation of marine resources, oil and gas, transportation, and port services, the development of coastal tourism is deemed a critical sector in promoting the growth of the maritime economy. Nevertheless, due to the national strategic position, the development of tourism in coastal areas faces challenges in reconciling national security policies for coastal defense with the goal of promoting economic development. This article examines the implementation of maritime economic development policies in Binh Dai district, Ben Tre province, highlighting a strategic balance between maintaining maritime security and promoting economic development for stakeholders. The study reveals that sustainable development in coastal tourism is not solely concerned with the livelihoods of local communities and environmental protection, which are typical concerns in other forms of tourism, rather, in the context of Binh Dai district, Ben Tre province, it is also tightly linked to maritime security.
Effect of Aggregate Proportion and Skeleton on the Strength of Porous Asphalt Mix
Authors: Chiranjeevi G , Shankar S 
Published: October 2023

Abstract
Investigating the skeleton behaviour of dry aggregates and the characteristics Of Indirect Tensile Strength (ITS) of various open-graded bands is the prime focus of this study. The skeleton band has an impact on mechanical characteristics. To make porous asphalt mixes’ skeletal strength greater, aggregate proportion studies are necessary before evaluating its performance. So, the current research on how the gradation band behaves concerning aggregate proportions is studied in this paper. The coarse and fine aggregate percentages on the gradation that affect tensile strength values vary in this paper. The coarse content effect on the ITS value lower side and fine proportion on the gradation significantly affect and indicates the compacted sample’s binding property. In this paper, different couple conditions also effect the ITS values. The porous asphalt mixture’s main mote is to improve air void content and drainage facility while improving durability and strength parameters.
Organic-inorganic perovskite structure-based (OIPSB) solar cells: A progress from invention
Authors: Rehman Mehtab Ur , Qun Wang 
Published: October 2023

Abstract
The organic-inorganic perovskite structure-based (OIPSB) materials are key material for optoelectronic industry. In this review paper, we have discussed some physical properties of OIPSB compounds (lead-based) which we got from previous research findings. The main compounds of OIPSB have been given with their electronic and optical properties. Furthermore, their applications are discussed in solar cells with device structures. A full mini review of organic-inorganic perovskite solar cells (OIPSCs) is given from its initial Power conversion efficiency (PCE) <4% to highest PCE of > 24%.
Electrodeposited CZTS loaded titania nanotubes for photocatalytic water splitting
Authors: Jayakumar Athulya , Krishnan Ambily 
Published: October 2023

Abstract
Copper Zinc Tin Sulphide (Cu2ZnSnS4 (CZTS)) is a promising semiconductor material with optimum direct band gap of 1.4-1.6 eV, large light absorption coefficient (> 104 cm-1) and p-type electrical conductivity. In addition, its earth abundant and non-toxic elemental constituents make it a good candidate to replace the CdTe and CIGS absorber layers used in thin film solar cells. Also, it has properties that make it useful as a buffer layer that helps to reduce the effective band gap of TiO2 when used as an anode for photocatalytic splitting of water. We prepared titania nano tube (TNT) arrays by anodization of titanium foil. Raman spectrum of TNT confirmed the presence of pure anatase phase of TiO2. Field emission scanning electron microscopy images were obtained to analyse the surface morphology of TNT. CZTS sensitized titania nano tube arrays were then prepared by the electrodeposition of CZTS thin films over TNT arrays. FESEM images of the CZTS sensitized titania nano tube arrays showed that the electrodeposited CZTS layer had a fibrous structure. A photo electro chemical (PEC) cell was set up with CZTS sensitized titania nanotubes as anode. An anodic current density of 0.19 mA/cm2 was shown by the PEC cell when the anode was irradiated with blue light of wavelength 430 nm at power 50 mW/cm2. The incident photon to current conversion efficiency was 1.1 %.
DFT study of Hydrogen storage capacity on Hf doped graphene
Authors: Karde Ravindra , Lone Baliram 
Published: October 2023

Abstract
We explored the molecular hydrogen storage capacity of complex system with Hafnium doped graphene (Gr-Hf) using the Density Functional Theory (DFT) method. We efficiently adsorbed molecular six hydrogens on the Hf doped graphene surface. The quantum chemically calculated adsorption energy is found negatively in the range of - 344.433 Ry to -333.836 Ry this implies as increasing the adsorbed hydrogen molecule on hafnium doped graphene (Gr-Hf) sheet the adsorption energy decreases continuously. The binding energy of after adsorbing second hydrogen molecule too much larger than the next adsorbed H2 molecules i.e., the binding energy per hydrogen molecule highly decreases when we increase adsorbed atom (2.197 Ry in 2H2 to 1.048 Ry in 3H2) then small decreases for next adsorbed H2 molecules. The extracted binding energy found in the range 2.197 Ry to 2.120 Ry, fermi energy found minimum for 1H2 shows the minimum electron occupancy at the different energy levels. The fermi energy increases accordingly, the electron occupancy also increases and evaluates higher electron occupancy with fermi energy 2.850 eV for 6H2 and density of states (DOS) confirm the weak interaction between σ bonding electrons of H2 molecule with Hf doped graphene complex system. The proposed system opens a new insight for hydrogen storage-based devices.
Comparative analysis of MgB2 superconducting wire for various cooling treatments through a sintering process
Authors: Herbirowo S , Pramono A W , Sofyan N , Yuwono A H , Imaduddin A 
Published: October 2023

Abstract
This paper presents a comparative analysis of MgB2 superconducting wire for various cooling treatments. The study investigates the effect of different cooling rates on the phase transformation, hardness, microstructure, and properties of the MgB2 wires. The samples were prepared by the powder-in-tube method using a mixture of magnesium and amorphous-boron powders through the sintering and hot rolling process The wires were cooled down at three different conditions, followed by characterization using X-ray diffraction, scanning electron microscopy, and hardness measurements. The results show that the cooling rate after sintering significantly impacted the microstructure and hardness strength of the MgB2 wires. A slower cooling rate led to a denser microstructure and higher hardness properties, while a faster cooling rate resulted in a more porous microstructure and lower hardness. However, it can be recommended further deformation for smaller wire sizes. These findings could provide insights into optimizing the sintering process to produce high-performance MgB2.
Investigating the effect of Manufactured sand and Silica Fume on the properties of Concrete
Authors: Chowdary Nandigam Bhargav , Mahajan Akshat , Jaggi Sahil 
Published: October 2023

Abstract
In the present era, concrete is one of the most commonly used construction materials worldwide. Consequently, the demand for natural river sand is increasing. Since the mining of natural sand has already been outlawed by the government in many regions, now it is essential to look into sustainable materials to control natural sand extraction. Hence, manufactured sand (MS) has been shown in numerous studies to be a more practical and environmentally responsible alternative to river sand (RS), which is normally used in the production of concrete. At the same time, the cement industry produces tons of greenhouse gases into the atmosphere, affecting atmospheric conditions. Now, it’s time to look into a suitable replacement material for cement. To investigate the feasibility of using manufactured sand & silica fume in place of river sand and cement under normal climatic conditions fresh, mechanical and durability properties were conducted in the laboratory. Twelve samples of M30 grade cubes and cylinders at desired M sand percentages of 0, 20, 40, 60, 80, and 100 & 0% and 5% variation of silica fume with cement are included in this study as a comparison to the control mix. After 28 days of water curing, a random variation in the properties of concrete was observed in the samples. In this experimental study, SF represents Silica Fume, MS represents manufactured sand, RS represents river sand, FA represents Fine aggregates and CA represents Coarse aggregates.
Rare Earth Based Iron Garnet – A Survey on Its Magnetic Properties
Authors: Priyanshu A , Nath M , Bandyopadhyay A 
Published: October 2023

Abstract
Garnet is a well-known material for a long-time by the scientific community but still today scientists are focusing on it due to the rapid application-based development of this material. When rare earth iron garnets (REIG) are formed by substituting the rare-earth ions with unfilled 4fn
orbitals, the magnetic properties of the iron garnets exhibit an interesting characteristic. For rare earth elements, the 4f electrons are shielded from the crystal field as these are surrounded by 5s, 5p, or 5d orbitals. That is why the exchange field between rare earth ions is much smaller than that between iron-iron and rare earth-iron. The magnetic moment of REIG will be both due to the orbital and spin moment. The magnetization of REIG at different temperatures (T) is due to the dominant contribution of different sublattices. At high and low T, the dominant sublattices are iron and rare earth sublattices respectively. The magnetic and non-magnetic ion substitution in REIG also play a very important role in deciding their magnetic property. In this review, we have tried to figure out the basic underlying physics behind the origin of remarkable magnetic behavior in REIG.
Design and Implementation of Hybrid Energy Storage System Integrating Lithium-ion Battery and Wind Turbine
Authors: Harippriya S. , Jayanthy S. , Esakki vigneswaran E. 
Published: October 2023

Abstract
A hybrid energy storage system (HESS) by integrating Lithium-Ion Battery and Wind Turbine System for Electric Vehicle is designed and implemented. An advanced model of lithium ion/wind turbine HESS model is developed to improve the battery’s charging capacity. The behavior of this model is tested by using Machine Learning Algorithms to identify remaining battery capacity of the energy storage components. The Machine learning Algorithms such as Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Random Forest (RF) Decision Tree (DT) and Linear Regression (LR) are implemented which helps in predicting the State of Charge (SoC) in the electric vehicle to estimate the battery’s lifetime. The SoC of the EV without HESS is calculated and compared with the SoC of HESS implemented EV model. Sensors are used to measure the current and voltage parameters of the Lithium-Ion Battery setup (Internal Battery) and Storage Battery (External Battery). The measured data is sent to the LPC2148 ARM microcontroller Board. The data that is obtained from LPC2148 is given as input to the machine learning algorithms which are executed in the Computer. Performance metrics such as Mean Absolute Error (MAE), Root Mean Square (RMSE), R-Square Error (R2E) and Mean Square Error (MSE) are calculated and the SoC values are predicted. The Random Forest algorithm produces better results for the HESS model as the Error values produced are less than 2.5%. The battery capacity of the electric vehicle has been improved by using external battery that is charged by wind turbine. Thus, the driving range of the electric vehicle implemented with HESS is increased twice when compared to conventional electric vehicle [1].
Wafer Defect Identification with Optimal Hyper-Parameter Tuning of Support Vector Machine using the Deep Feature of ResNet 101
Authors: Dash Shishir Prasad , Ramadevi J. , Amat Rajat , Sethy Prabira Kumar , Behera Santi Kumari , Mallick Sunil 
Published: October 2023

Abstract
As semiconductor processing technologies continue to advance, semiconductor wafers are becoming more densely packed and intricate, resulting in a higher incidence of surface imperfections. Therefore, it is crucial to detect these defects early and accurately classify them to pinpoint the root causes of the defects in the manufacturing process, ultimately leading to improved yield. Therefore, defect detection is critical in the industrial production of monocrystalline silicon. This study employs deep learning techniques to propose a framework for detecting defects on silicon wafers, focusing on optimizing the hyperparameters of support vector machines (SVM). Three methods were utilized to fine-tune the SVM parameters: Bayesian optimization, grid search, and random search techniques. This study demonstrates how selecting optimal values for SVM parameters can lead to better classification. Additionally, real manufacturing data were utilized to evaluate the performance of the proposed SVM classifier, with a comparison to state-of-the-art techniques in the field. By using deep features from ResNet 101 and a support vector machine, this work achieves 74.5% accuracy in identifying wafer defects without employing any optimization technique. However, the performance of the model was further improved by utilizing the random search optimization technique, which yielded the best result among the three optimization techniques tested, with an accuracy of 88.1%.
A review on machine learning based counterfeit integrated circuit detection
Authors: Udaya Shankar S , Kalpana P 
Published: October 2023

Abstract
Counterfeit electronics parts have changed today’s electronic market all over the world. A large number of Integrated Circuit (IC) designers, manufacturers and suppliers present in the market have led to an increase in the counterfeiting. Still, there are no proper standards are formulated to regulate the spread of counterfeit electronics. Large number of research solutions is provided to identify them. Still, several forms of counterfeit ICs are not yet detected up to an extent. One of the promising solutions developed in recent research is the use of machine learning algorithms in the detection of counterfeit ICs. A state-of-the-art survey on the electrical and physical inspection methods to detect the counterfeit ICs using various machine learning approaches with other algorithms are presented and compared. Future directions for the identification of counterfeit ICs are also provided to increase the lifetime of the circuit.
Solidification analysis for variable thickness aluminum castings: simulation and chill design insights
Authors: Yilmaz Galip , Colak Murat , Uslu Emin 
Published: October 2023

Abstract
Manufacturing high-quality casting parts with complex geometries requires high engineering skill and precision. One essential quality concern is isolated hot spots within the castings, often in thick sections. Each hot spot must be consistently fed or mitigated through directional solidification techniques. The impact of various mold sands and the geometry of chill parts on solidification direction was investigated using specialized casting and general-purpose simulation programs. A parametric optimization method was employed to analyze directional solidification to adjust the geometry of the chill parts. The results indicate that employing diverse mold sands to enhance cooling in the thick sections was a viable strategy for achieving directional solidification in parts where the feeding pathway is obstructed due to changes in cross-section. Furthermore, the study revealed that intricate details in the chill part’s geometry are not critical; however, a minimum volume (or weight) was necessary for adequate directional solidification. Lastly, an easily applicable mathematical model has been developed to determine the required volume of chill parts to ensure successful directional solidification.