bluuebunny/crossref_metadata_2025_split huggingface dataset:
A method for human behavior identification based on integrated sensor data using XGBoost classifier with PCA techniques
Authors: Thakur Divya , Lalwani Praveen 
Published: March 2024

Abstract
In recent decades, there has been a noticeable increase in the recognition among professionals of the importance of human acts. The identification of human activity has gained significant prominence because of its wide-ranging applications in several domains, including healthcare and recreational activities. Moreover, a substantial body of research in the field of machine learning has been dedicated to the development of methodologies aimed at automating the identification and analysis of human behavior. This increased interest is mostly due to the fact that there are now more tools that can collect information about how people live their daily lives. The data utilized in this study is readily available for public access on the Internet. The data set under consideration comprises sensor readings from several components integrated inside the smartphone, including the global positioning system (GPS), accelerometer, magnetometer, and gyroscope. The data sets are indifferent to the categories, positions, or alignments of the items. The data set is of considerable magnitude due to its collection from several sensors, including GPS, accelerometer, magnetometer, and gyroscope. Consequently, we are employing the Principal Component Analysis (PCA) technique to diminish the dimensionality of the data and enhance its precision. Our recommendation is to utilize the XGBoost classifier in combination with Principal Component Analysis (PCA). The recommended model had a total identification rate of 97.58%. In order to demonstrate the flexibility of the proposed method, we employ a 10-fold cross-validation technique, together with the utilization of a confusion matrix and ROC curve. These evaluation metrics serve to provide a tangible illustration of the recommended strategy. The proposed methodology might have encouraging outcomes in effectively discerning human behaviors, thereby potentially facilitating the restoration of walking and pushing gaits into a Bipedal Robot and other Parkinson’s diseases.
Inference of complex reaction mechanisms applying model reduction techniques
Authors: Shahzad Muhammad , Mustafa Soma , Khoshnaw Sarbaz H A 
Published: March 2024

Abstract
Both structural (number of species and reactions) and temporal (extremely diverse reaction rates) aspects of complexity are considered when describing large chemical reaction networks. A consistent way to make model reduction is to construct the invariant manifold, which describes the asymptotic system behavior. Preliminary approximations to SIM (Slow Invariant Manifold) are constructed using the model reduction techniques (MRTs): the Quasi-Equilibrium Manifold (QEM), the Spectral Quasi-Equilibrium Manifold (SQEM), and the Intrinsic Low-Dimension Manifold (ILDM). In this paper, the activities of the concerned species and the overall dynamics of the system are examined. Two examples are used to demonstrate the techniques: the Michaelis–Menten mechanism, which is a single reaction mechanism, and a multi-route route reaction mechanism. The behavior of each species on the available route is covered separately. As a result, the reduced invariant solution curve of several approaches is illustrated, along with a comparison of these methods in various graphs. Sensitivity analysis is applied using the SimBiology toolbox in MATLAB to monitor the role of each parameter involved. All the results of model reduction techniques are simulated through MATLAB.
Multiple-image encryption scheme based on a new 2D hyperchaotic map with blurred pixels
Authors: Zhou Lili , Lin Zeqin , Tan Fei 
Published: March 2024

Abstract
It is known that chaotic, especially hyperchaotic system can be suitable for the application in image encryption owing to itself characteristics. While currently, certain improved chaotic or hyperchaotic systems are confronted with the security issue of encryption due to their less complex dynamical behaviors. To address the problem well, we introduce a novel two-dimensional (2D) crossed hyperchaotic map which is based on the logistic map and the infinite collapse map. The analysis of phase diagram and Lyapunov exponential spectrum demonstrate that the given system can exhibit extensive hyperchaotic behavior and good traversal properties. Moreover, the growing use of digital images has prompted demand for multi-image encryption scheme. For this reason, based on the given 2D crossed hyperchaotic map, a multiple image encryption (MIE) scheme that employs a cross-plane with the operation of simultaneous permutation and diffusion to modify the values of its positions and pixels across multiple images is proposed. A pixel blur preprocessing technique is introduced such that the efficiency of key calculation and the speed and safety of information encryption are greatly improved. Eventually, some simulation examples and security analysis reveal that the put forward encryption scheme is able to keep out kinds of attacks such as the selective plaintext attacks and data loss.
Unveiling novel dynamics in Q-deformed Sinh-Gordon model: exploring explicit wave solutions and stability analysis
Authors: Raza Nauman , Arshed Saima , Ali Shah Nehad , Abdel-Aty Abdel-Haleem , Nisar Kottakkaran Sooppy , Albalawi Wedad , Mahmoud Mona 
Published: March 2024

Abstract
The new generalized Q-deformed Sinh-Gordon equation is investigated in this article. Numerous physical interpretations and applications exist for the said model in several scientific fields. Therefore, for analyzing the underlying physical system, it is imperative to look at the traveling wave behavior displayed by this equation. To complete our thrust three innovative integration architectures including the modified sub-equation method, the

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-expansion method and

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-expansion method have been utilized to create precise closed form traveling wave solutions. These methods provide solutions in the form of hyperbolic function solutions, trigonometric function solutions and rational solutions. The obtained solutions are discussed with 3D surface plots and 2D line plots to visualize and support the theoretical results. Furthermore, stability for the model is also discussed. This paper discusses a major development as well as gradual improvements to previous works on the current model. Moreover, we discuss the stability analysis of the studied equation and the outcomes are visually depicted in graphical form. To authenticate the solutions provided in this manuscript, each solution undergoes a meticulous validation process.
Morphology Study for GeV Emission of Nearby Supernova Remnant G332.5-5.6
Authors: Luo Ming-Hong , Tang Qing-Wen , Mo Xiu-Rong 
Published: March 2024

Abstract
A spatial template is important to study nearby supernova remnants (SNRs). For SNR G332.5-5.6, we report a Gaussian disk with a radius of about 1.°06 to be a potential good spatial model in the γ-ray band. Employing this new Gaussian disk, its GeV lightcurve shows a significant variability of about seven sigma. The γ-ray observations of this SNR could be explained well either by a leptonic model or a hadronic model, in which a flat spectrum for the ejected electrons/protons is required.
Evaluation of the thermal capacity of cement-based thermal energy storage components. A case study
Authors: Ortiz-Vasquez L F , Endrino J L , Roque E , Montero-Chacón F 
Published: March 2024

Abstract
In this paper, we evaluate the heat capacity performance of cement-based heat exchangers for thermal energy storage and analyze their structural integrity under elevated temperatures. Fluid flow is modeled using the Navier-Stokes equations, conservation of mass, and energy. The response of the cement-based material is modeled considering thermomechanical coupling, obtaining the temperature profile within the thermal energy storage. This study allows us to observe the thermal energy storage capabilities for different thermal energy storage designs: plain concrete and concrete with nanoparticles of SiO2. Finally, we use our model for the evaluation of the concrete thermal energy storage component, which has been previously functionalized for use in low to medium temperature ranges (i.e., 100 °C to 400 °C).
Computational modeling and analysis of a fluid test rig
Authors: Hernandez-Salazar C A , Endrino J L , Diaz F H , Calero C A , Zurita-Gotor M , V-Niño E D 
Published: March 2024

Abstract
Nanofluids, which are suspensions of metallic or ceramic nanoparticle fillers in a variety of liquids, are a new category of heat-transfer fluids. Owing to the changes in thermal conductivity caused by nanofillers, they have thermal properties that are superior to those of conventional fluids; this leads to a more efficient heat transfer, making them attractive for various industrial applications. Using numerical models to support in situ experiments is necessary to analyze nanofluids’ thermal properties and flow; creating a test ring has been suggested to describe the characteristics and behavior of fluids under controlled conditions. Modeling and computational analysis support such advances, which are essential for understanding and optimizing phenomena occurring during experimental tests; the modeling and computational analysis of a test rig designed to characterize a diphenyl oxide/biphenyl blend base fluid are presented in this research work. The test rig design included an integrated stainless-steel piping system with a flow-controlled pump and heat exchanger; the computational model considers the conjugate effects of fluid dynamics to facilitate the construction of test rigs.
Protecting the Well-being of the People with Disabilities in Achieving the Nation’s Sustainable Development Goals
Authors: Krishnamoorthi Charmilaa , Shariff Ahmad Azam Mohd , Yahya Mohamad Azhan , Hassan Muhamad Sayuti , Kamaruddin Hanim 
Published: March 2024

AbstractAs the nation is leaning towards achieving the Sustainable Development Goals (SDG), it is pertinent and crucial to look into the plights faced by people with disabilities in this country. This study delves straight into the current socio-legal climate surrounding them. It adopts methods of content and critical analysis when analysing the data qualitatively. The findings show that even though the overall social acceptance and reception have improved over the years, some members of the people with disabilities community have faced unfair treatment during job scouting, job interviews or while at work. From a legal point of view, an ambiguity in a provision under the Persons with Disabilities Act 2008 has resulted in inaccuracy and false interpretation by the local authorities, leading to poor and shoddy construction of public amenities for people with disabilities. Furthermore, the effectiveness of the Street, Drainage and Building Act 1974 in ensuring accessibility of public facilities for the people with disabilities remains questionable. In the concerted effort to achieve Goal No. 9 of developing quality, reliable, sustainable and resilient infrastructure supporting economic development and human well-being and Goal No. 10 of reducing income inequality under the nation’s SDG, the above-mentioned socio-legal problems must be urgently addressed.
The Efficiency of Vertical Plants’ Types and Catchment Areas for Absorbing Carbon Dioxide in Ambient Air
Authors: Taufiqi Hervina , Santoso Irwan Bagyo , Karnaningroem Nieke 
Published: March 2024

Abstract
The Indonesian government has set regulation, whereby 30% of the city region should be repurposed as green open spaces to mitigate climate change. However, several cities have not attained this because of a lack of land availability. One of the potential solutions is using of vertical gardens that can absorb CO2 in limited areas. The study aims to determine the CO2 absorption by several vertical plants at different sizes of planting areas and elevations. The study was conducted on three sites in the Department of Environmental Engineering Institut Teknologi Sepuluh Nopember under various circumstances. The study variables included: (i) plant species, i.e. Antigonon leptopus, Epipremnum aureum, and Vernonia elliptica, which were grown in a 55×40×37cm box reactor, (ii) different catchment or planting areas (25%, 50%, and 75% of the reactor’s surface area), as well as (iii) elevations (0 m, 4.5 m, and 8.5 m above ground level). A single reactor was used as control variable. The parameters under observation were CO2 level, temperature, and light intensity recorded hourly from 06.00 a.m. to 06.00 p.m. The capability of the plant to absorb determined by the difference of Net-CO2-Con. The result shows that the more plant’s catchment areas positively contribute to the reduced CO2. The 75% of Antigonon leptopus potentially decreased by 314 ppmCO2/day, while 50% and 25% of it only decreased by 271 ppmCO2/day and 119 ppmCO2/day. Antigonon leptopus is the most efficient plant in its light tolerance, compared to other plants. Antigonon leptopus showed the highest CO2 uptake value at 314 ppmCO2/day, while Epipremnum aureum and Vernonia elliptica displayed 126 ppmCO2/day and 184 ppmCO2/day respectively. However, the CO2 uptake capability of each plant at different elevations was subjected to bias due to coverage by buildings and canopies. This altered the intensity of sunlight and interfered with plant assimilation, ultimately impacted the uptake capability of CO2.
Preliminary study of tsunami simulations on megathrust earthquake scenarios in Pacitan Regency, East Java
Authors: Widodo A , Aditama F Y , Rochman J P G N , Kartikasari D , Putra N M , Pribadi S 
Published: March 2024

Abstract
During the period 1600 to 2007 there have been approximately 109 tsunamis in Indonesia with 90% caused by tectonic earthquakes. Pacitan located in an east java segment subduction area which is very prone to earthquakes and tsunamis. The coastal morphology of Pacitan has great potential for tsunami hazard. This research is focused on conducting numerical modeling of the tsunami generated by the hypothetical megathrust earthquake in the East Java segment with a magnitude of Mw 8.7. The method used is Cornell-Multi Grid Coupled applied shallow water equation with COMCOT 1.7 software. The nested grid system uses 4-layer consisting of 1-layer GEBCO, 2-layer bathymetry, and 1-layer integration of bathymetry and topography to produce tsunami modeling with high resolution. The results showed that the megathrust hypothetical earthquake scenario for the East Java segment caused a vertical displacement at sea level of -4.599 m to 7.019 m. The tsunami propagation northwards towards the Pacitan coast had a maximum amplitude of 33.16 m with a travel time of 23 – 29 minutes and then spreads in all directions. The farthest inundation range occurred in Pacitan Subdistrict as far as 4.189 km to the north of Ranuharjo Beach, while the maximum run-up of 21.82 m occurred in Soge Beach, Ngadirojo Subdistrict. The farthest affected area of inundation occurs on a gently sloping morphology with a slope of 0-8%, the highest run-up is on a moderate to steep sloping morphology with a slope of more than 25%. The results of tsunami simulation can be used for planning tsunami disaster mitigation in Pacitan.
Mapping Underground River Flows in karst Areas with the VLF-EM Method (Case Study of the Krawak Region, Singgahan Tuban)
Authors: Purwanto M S , Susilo A , Bahri A S , Naba A , Sari U I , Almais A T W 
Published: March 2024

Abstract
The Krawak Springs is a source of springs from the cracks of river rocks in the middle of a teak forest in Guwoterus Village, Montong District, Tuban. This spring is a source of irrigation water for agricultural land in the District of Montong. Based on its urgency, it is necessary maintaining its sustainability by identifying recharge areas and underground river flows. VLF is quite advantageous for use in the regional mapping underground rivers in karst areas because can describe the structure of the karst environment and predict interconnected pathways in karst. Data acquisition uses four tracks with an average length of about 300 m. Data processing was made qualitatively using MATLAB software and quantitatively using Inv2DVLF software. Qualitative results show that the conductive zone is identified as a subsurface river flow. From the processing results, it is known that the subsurface river flow zone can be identified as a zone that is conductive or has low resistivity. The underground river flow is interpreted to be located on Track 3 and Track 4 and has a direction of continuity to the southwest
Site classification Based on Shear Wave Velocity Inversion in The Jlantah Dam Construction Project using the HVSR (Horizontal to Vertical Spectral Ratio) Analysis Method
Authors: Rasyid Alwan M. , Rochman Juan Pandu Gya Nur , Widodo Amien , Nabiha M. Reyhan , Mikael Mario P.P , Salam Ilham Fikri 
Published: March 2024

Abstract
This research was conducted with the aim to test whether the results of the inversion of the HVSR curve can be used as complementary data for N-SPT values in classifying areas according to site classification. The inversion result in the form of shear wave velocity (VS
) is then compared directly with the N-SPT data in several boreholes. Ellipticity curve method is used for inversion. The data generated in this study are dominant frequency, Amplitude Peak, and H/V curve as a result of the HVSR analysis performed on microtremor data. Furthermore, an inversion was carried out on the H/V curve by taking into account secondary data in the form of borehole, shear wave velocity, density and poisson ratio for each type of lithology. The dominant frequency value obtained has a value range of 0.33 to 17.15 Hz. The Amplitude Peak obtained in the study area has a value range of 1.81 – 11.4. The inversion (VS
) value has a range of 110.5 m/s – 400 m/s, so it is included in the classification of Soft Soil, Medium Soil, and Hard Soil and Soft Rock. The correlation of and N-SPT show that inversion method with HVSR analysis of microtremor data is quite reliable as supporting data for N-SPT. Considering cons of drilling, the method used in this study can be a new alternative for use in construction projects because it can be carried out at a relatively low cost, and is quite simple in terms of data acquisition and processing.
Efforts to Reduce Carbon Emissions from TPS3R and Rumah Kompos Facilities: Case Study in Surabaya
Authors: Fatimah Aida , Assomadi Abdu Fadli , Febrianto Arry , Hermana Joni 
Published: March 2024

Abstract
A majority of the solid waste produced in Surabaya is handled by the Surabaya Environmental Agency (Dinas Lingkungan Hidup, DLH). This process includes sorting, and colleting waste from local sources, transporting waste to and treating waste in local facilities, as well as final processing of waste done in landfills. Each of these processes will produce its own amount and type of GHG emissions. This study focuses on the emission coming from local facilities used to treat waste, namely TPS3R and Rumah Kompos. These facilities receive waste from local communities and produce compost and recyclable materials, creating GHG emissions in the process. This research estimates how much GHGs are emitted from these facilities from its compost production and energy consumption using available tools, and then compare its emission to the amount of waste that it processes. This comparison will show how much GHG each facility emits for every ton of solid waste handled (Facility Emission Factor, EF) which equates to its waste handling performance. Results show that the lowest EF achievable by TPS3R and Rumah Kompos facilities in Surabaya is 0.210- and 1.988-ton CO2eq/ton waste, respectively. This performance level is used as a baseline for increasing the amount of waste treated in these facilities with no additional emission load. When this estimation is applied, the total waste treated in Surabaya could increase by 11%, treating an additional 691 tons of waste per year and reducing waste going to landfills, which in turn reduces overall emissions of the waste sector.
Study on Conventional Drinking Water Treatment for Removing Emerging Contaminants: A Literature Review
Authors: Azzahra Hana , Nisaa Ainul Firdatun , Mardyanto Mas Agus 
Published: March 2024

Abstract
Emerging contaminants (ECs) are substances that can be synthetic or natural, or even microorganisms that are usually not monitored in the environment and could be harmful to the environment and human health. These chemicals can include pharmaceuticals, such as ibuprofen and acetaminophen, and industrial chemicals, e.g., perfluorooctanoic acid (PFOA). Common conventional drinking water treatment plants (CDWTP) are not designed to remove emerging contaminants, so these compounds can enter the water system and affect the drinking water treatment process. This study aims to focus on the performance of CDWTP in removing ibuprofen, acetaminophen, and PFOA parameters, as well as determine suitable water treatment units to eliminate these parameters from the system. An extensive literature review was conducted and further analysed using descriptive and qualitative analysis to understand the unit performance in removing emerging contaminants, followed by the simple simulation to determine the types of advanced drinking water treatment facilities that perform better in eliminating ECs. The results show that CDWTP could reduce ibuprofen concentration in water with 40%, 20%, and 36% efficiency through coagulation-flocculation, sand filtration, and disinfection, respectively. Acetaminophen removal is up to 67%, 51%, and 66.45% during coagulation-flocculation, sand filtration, and disinfection, respectively. However, PFOA removal is only up to 5%, 7%, and 2% during coagulation-flocculation, sand filtration, and disinfection, respectively. Membrane treatment technology with reverse osmosis could remove ibuprofen, acetaminophen, and PFOA compounds more effectively with removal efficiencies of 99.99%, 96%, and 100%, respectively.
Study on Drinking Water Distribution System at Sekaran District Service Area in Lamongan Regency
Authors: Subechi Dya Nur Mangzila , Purnomo Alfan 
Published: March 2024

Abstract
Drinking Water Supply System (SPAM) organizers needs to carry out its duties and functions to fulfil the quality, quantity, and continuity for the community. From all SPAM service areas in Sekaran District, there are three villages, namely Manyar, Jugo, and Trosono Village which lack access to water. The three villages water pressure falls below the minimum pressure requirements of Minister of Public Works and Housing Regulation Number 27/RT/M/2016. Seeing that the continuity is not optimal, it is important to study the drinking water distribution network of one of the SPAM in District Sekaran service areas. Recommendations for pipeline network restoration involves conducting hydraulic simulation using EPANET 2.2 which identified the need to parallelize existing pipes and establish a new pipe with a diameter of 200 mm and a length of 1960 m that connects Ngarum Village and Jugo Village. In addition, expanded reservoir capacity is required to meet water demand because it will increase during the development year. Furthermore, based on the results of the demand pattern measurement, the pump schedule must be modified, as well as the quantity of functioning pumps to be able to meet the water supply demand when the development occurs.