bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficiency Evaluation and Performance Governance of Infrastructure Construction Based on DEA and Improved Neural Networks
Authors: Wang Caichuan 
Published: April 2024

Abstract
Infrastructure construction is the carrier of regional economic development, and the rational use of urban construction land is an important basis that largely depends on the efficiency of urban infrastructure construction. However, due to the lack of effective integration between urban evaluation and management in infrastructure, the infrastructure performance evaluation system is not yet mature enough. Therefore, this article conducts efficiency evaluation and performance governance of infrastructure construction based on DEA and improved neural networks. Firstly, based on a comprehensive analysis of performance evaluation, the advantages and disadvantages of infrastructure construction were explored. Secondly, in the study of using DEA and improved neural networks to evaluate the efficiency of infrastructure construction, a performance evaluation index system for urban infrastructure construction was constructed from four aspects: input, output, effect, and activity. A systematic performance evaluation of urban infrastructure was conducted, and optimization suggestions were proposed accordingly.
Research on Joint Sensing Technology for Vibration and Dielectric Spectrum of Power Equipment in the Context of New Power Systems
Authors: He Yongsheng , Zhang Shiling , Lu Zongxiang , Liangjun Dai 
Published: April 2024

Abstract
This paper has carried out the test results of SF6 gas decomposition products and the dielectric spectrum detection, proposed method for the identifying equipment defects based on decomposition products, and the partial discharge detection and diagnosis method for the equipment discharge defects. Combining the above two methods, the GIS discharge defects are comprehensively evaluated by decomposition products and partial discharge detection, achieving the type prediction of latent faults in operating switch-gear. In the aspect of vibration signal analysis, this paper conducts the wavelet analysis of the vibration signals and obtains frequency spectrum results under multi-layer wavelet decomposition. In the aspect of dielectric spectrum analysis, a model of three HN function superposition was used to fit the experimental data to verify the validity of the model, and the characteristic parameters such as the DC conductivity were extracted. It was found their dependence on temperature basically conformed to the Arrhenius formula. On this basis, the thermal aging test platform for the epoxy resin samples was established, and an accelerated thermal aging experiment was conducted at the temperature of 115 °C. The dielectric response test system was used to measure dielectric spectra of the samples with different aging times, compare the dielectric spectra at different aging times, and analyze the reasons for the differences.
Conceptual Design of a 3D Visualization Platform for Ships Based on Digital Twin Technology
Authors: Li Li , Li Guangnian , Du Lin , Wu Qin , Yang Yizheng 
Published: April 2024

Abstract
Addressing the challenges in the current ship’s lifecycle design process, such as high difficulty in information sharing and complex installation of design environments, this study proposes a concept design of a ship 3D visualization platform based on digital twin technology. It constructs a web-based ship 3D visualization platform with an interactive interface of realism. The aim is to avoid cumbersome client-side programs and provide a method to showcase and interact with ship 3D models on web pages. This method not only reduces the threshold for ordinary users but also significantly enhances the work efficiency of professional designers. Following the model construction theory of digital twin platforms, it utilizes WebGL technology and the Three.js library to build ship 3D scenes, achieving ship 3D visualization. Functional interaction among modules is implemented using JavaScript, establishing the digital twin of the ship. Test results indicate that the proposed concept design of the ship 3D visualization platform can preliminarily fulfill the basic requirements of achieving ship 3D display, rendering, and interaction on web platforms. The proposed method can support the development of ship online collaborative design systems based on front-end internet technologies.
Optimization of Circularly Polarized Omnidirectional Base Station Antenna by Machine Learning
Authors: Tian Yubo , Sun Jinlong , Lai Zhanjun , Mei Zhilin , Meng Fei 
Published: April 2024

Abstract
Machine learning (ML) is a scientific technology related to data learning that can help machines learn patterns from existing complex data to predict future behavioral outcomes and trends. In this paper, we use 16 different ML algorithms and 5 different hyper-parameters optimal methods to model a circularly polarized omnidirectional base station antenna. The mean absolute error is 8.431, the root mean squared error is 11.100, the coefficient of determination is 0.967, and the adjusted coefficient of determination is 0.944, which means evaluation metrics are excellent.
The diversity of stingless bee (Apidae: Meliponini) in Batusangkar, West Sumatra: the current meliponiculture status
Authors: Puteri G , Herwina H , Mairawita  , Janra M N 
Published: April 2024

Abstract
The study on the diversity of stingless bees (Apidae: Meliponini) in Batusangkar was conducted from September until December 2020. This study aimed to inventory stingless bee species at meliponicultures in three subdistricts of Batusangkar City in Tanah Datar Regency, West Sumatra. The study surveyed the meliponiculture sites by purposive sampling and directly collecting, by hand, the workers of the stingless bee at their colony entrances. A total of 5 species of stingless bees from 44 colonies were collected. The species with the most abundant population observed was Heterotrigona itama (23 colonies). Other four species shortly followed i.e., Geniotrigona thoracica (10 colonies), Tetragonula laeviceps (seven colonies), Tetragonula fuscobalteata (three colonies), and Homotrigona fimbriata (one colony). The diversity of stingless bees in this study was thought to be influenced by species’ productivity and behavior that work in their favor to be included by the farmers in their meliponiculture. This study presents the most suitable species of stingless bees to breed in the meliponiculture environment in Batusangkar.
Hydrology Balance in Sustainable Land Development
Authors: Rasyidin A 
Published: April 2024

Abstract
Several cities in West Sumatra are in an alluvial system formation even though they are at an altitude above 350 m msl, for example, Kota Solok 350 m, Bukittinggi 900 m, and Padang 25 m msl. The growth of this city was initially safe from floods, but lately, it has often experienced flood disasters or disturbed the hydrological balance. This is presumably due to changes in land use. The city of Solok has lost 385 ha of rice fields so far, the city of Padang has lost 35 ha of rice fields/year, and Bukittinggi has lost nearly 200 ha of its total rice field area. When there is a land use change to a settlement, the amount of water required during rice cultivation becomes water that has to be disposed of, and this should affect the expansion of the drainage channel. If the water requirement for one growing season is at a value of 1,300 mm, with a length of time from soil processing to harvesting is 4 months, meaning that every month the rice fields need water as much as 1,251,250 m3, which is equivalent to 0.48m3/sec.
Tracing sulphur dioxide in volcanic deposits and ash emission during the 2019 Sinabung eruptions
Authors: Fiantis D , Zulhakim H , Yulanda N , Ginting F I , Gusnidar  , Yasin S 
Published: April 2024

Abstract
Sulphur dioxide (SO2) emissions from Mt. Sinabung eruption were quantified in time series for 2019. Both pyroclastic materials and gas or aerosol ejected during volcanic eruption contain sulphur as sulphate salt deposits coating volcanic ash grains or gasses. Sulphur dioxide from the eruption will directly impact the surrounding area. Spectral from satellite optical sensors can be used to monitor and measure SO2 gas near real-time after an eruption. The distribution of SO2 column density in the atmosphere was tracked using the Sentinel-5P satellite. Regression kriging (RK) is applied to predict the spatial distribution of sulphur. The area under study is located in a radius of 3 to 7 km from the eruptive center, covering an area of about 4,517 ha. A total of 51 soil samples and volcanic ash were collected from 0- 20 cm soil depth based on a 1x1 km grid interval. All samples were air- dried, sieved, and analyzed for pH, sulphate, and total SO3 using XRF. The Google Earth Engine (GEE) platform was also used to process Sentinel-5P satellite imagery to determine the number and distribution of SO2 column density in the atmosphere during 2019. The pH of the ash is very acidic to neutral (3.56 - 6.55), while soils are considered acidic to neutral (4.67 - 6.52). The available sulphate content in soil ranges from 0 to 303.39 ppm and 0 to 142.47 ppm in volcanic ash samples. SO2 content in ash ranges from 0 to 16.53% and 0 to 3.71% in soils. Sentinel-5P satellite image spectral data shows that SO2 is concentrated mainly in the southern region, with the highest level occurring in August 2019. This study can serve as one of the volcanic mitigation programs and forecast the distribution of SO2 in an active volcanic region of Indonesia.
Application of Clay and Rice Husk Biochar and its effect on Soil Pore Distribution of Psamment and Corn Yield
Authors: Adrinal  , Gusmini  , Putri E L , Delind N M F 
Published: April 2024

Abstract
The effect of clay and rice husk biochar application under minimum soil tillage on soil pore distribution of psamment and corn yield was conducted in Batang Anai District, Padang Pariaman Regency. Plot experiment consisting of four treatment (without clay or biochar; 20 ton clay/ha; 20 ton biochar/ha; and 20 ton biochar/ha + 20 ton clay/ha) with 3 replications. Soil samples were analyzed at the soil laboratory, Faculty of Agriculture, Andalas University Padang and Soil Laboratory, Bogor Soil Research Institute. Soil physical properties were categorized by soil criteria, while crop growth and yield data were statistically analyzed using F test and DNMRT at 5% level. Results showed that application of 20 ton/ha of clay and rice husk biochar improved soil physical properties of psamment namely: decreasing soil bulk density, increasing total soil porosity, aeration pores, and available water pores. The application of biochar and clay has also increased the growth and yield of corn.
Effect of sustainable leadership development and employee empowerment in MSME industry in India
Authors: Luthra R K , Senthilkumar  
Published: April 2024

Abstract
In the 21st Century, The Micro Small, and Medium Enterprises (MSME) in India have established their credibility of mass employment and contributing to around 30% of India’s GDP in 2020. As of 2020, India is a house of 2.5 million units and proved the backbone of large sectors such as Manufacturing, Agriculture, Aviation, IT & ITeS, Pharma, Cement, and Automobile to name a few. India Government initiatives helped MSME to grow at the rate of 18.5% CAGR in 2019-2020. Indian Government is committed to bringing sustainable growth to the MSME sector. This brings the point to look into scalability issues often faced by these industries due to typical Owner and employee organization structure with lack of knowledge in recent HR practices. All the management and operational decisions are factored into top leadership (the business owner and his son’s). With the young entrepreneurs stepping into the family business, the face of this industry is bound to change further. Indian Government has doubled the budget for the MSME sector in FY22 that is $ 1.03 billion in FY 21 to $ 2.14 billion in FY22. With the Industrial revolution 5.0, India has witnessed multiple Unicorns in the last decade; therefore, it is bound to see maturity in leadership sustainability and focus on employees’ empowerment. The study goal is to look into labour law barriers faced by the MSME industry which is not covered in the FY22 vision document for the early adoption of a modern HRM approach to meet 5 trillion dollars business demands by 2025.
IoT Enabled Smart Homes in Tropical Regions as a Means of Sustainable Development
Authors: Geddam Samuel Mores , Gowda Anil B , Hussain Ameer 
Published: April 2024

Abstract
Internet of Things (IoT) in the context of Smart Homes has been an emerging area of study. IoT technology-enabled provides Integrated and centralized monitoring and control system where the inhabitants can remotely adjust access in the house, temperature and lighting etc., but also functions of the smart TV, refrigerator, oven etc. A step forward to this, Smart 2.0 can be achieved by integrating greeneries maintenance atomization, energy and water conservation, etc., with the IoT technologies to maintain a healthy indoor environment. The study focus on how IoT enabled Smart Homes can contribute, enabling a new era of development and growth aimed at achieving Sustainability. A critical literature review and factors are identified that will align the development catering to the 2030 Agenda for Sustainable Development, 2015 and the UN-Habitat New Urban Agenda, 2016 which are today’s International Agendas aimed at achieving Sustainable Development. Well-planned and well-managed IoT enabled Smart Homes in the context of urbanization, can be a powerful tool for sustainable development for both developing and developed nations. Achievement of SDGs especially, Goal 3, 6, 7 and 11 is impossible without the role of technology. With the proper delivery and implementation of IoT enabled Smart Homes, safeguarding the sustainability of Cities and Communities is possible. IoT in Smart Home keep the power, water, temperature, ventilation systems, solar power, greeneries and waste in check which in turn leads to sustainability. An IoT enabled Smart Home model for Sustainability has been proposed.
Modeling and characterization of deeply etched multilayer resonators under partial coherent excitation via multimode optical fibers
Authors: A Selim Mahmoud , Sabry Yasser M , Marty Frédéric , Bourouina Tarik , Khalil Diaa 
Published: April 2024

Abstract
Recently, there has been a resurgence of interest in multimode optical fibers illuminated by a white light source. Largely, in anticipation of many integrated applications in the biomedical domain and spectral sensing benefiting from the broad spectral range and high numerical aperture (NA). Along these lines, the output light from these fibers can be captured by the physics of partially coherent sources. While the Gaussian Schell model has provided a framework for studying partial coherence, to our knowledge, its impact on microstructures remains unexplored. As the sheer complexity arising from the interplay between partial coherence and microstructures transfer function has posed fundamental challenges in deciphering their response. In this work, we introduce a comprehensive numerical model paired with experimental validation to assess the performance of multilayer optical resonators, which are meticulously crafted through high aspect ratio silicon etching under the influence of a partially coherent optical source. The model studies the effects of optical fiber NA, Bragg mirror order, cavity length, and surface roughness of the microstructures on the output of the resonator. The results show that the response under standard multimode fiber (MMF, partial coherent source) has lower insertion loss, more asymmetry versus wavelength, and larger full width at half maximum than the standard single mode fiber (full coherent source). A silicon-on-insulator chip is fabricated using 130 µm deep etching of silicon for Bragg mirrors with 2.25, 3, and 3.25 µm silicon layer widths and a different number of layers. The structures are characterized using a MMF of 62.5 µm core diameter illuminated by an infrared white light source. The theoretical results have been compared with the experimental results and a good agreement has been obtained.
Research on tribological performance of textured thrust bearing using gray relational degree and improved multi-objective water circulation algorithm
Authors: Yu Xiaodong , Shi Guangqiang , Yang Xinyi , Gao Weicheng 
Published: April 2024

Abstract
To enhance the loading capacity of the oil film, reduce the lubricating oil temperature, and minimize the deformation of the friction pairs, three types of concave textures were proposed. The tribological properties of the thrust bearing underwent multi-objective optimization analysis using the two different methods. By comparing the two methods, it was found that the improved algorithm (MOWCA) demonstrated better optimization performance. Under this algorithm, when the texture shape was triangular, the number of textures was 18n, the size was approximately 0.135 mm, and the spacing between textures was approximately 4.6 mm, the loading capacity of the oil film increased by approximately 26.8%, and the temperature decreased by approximately 0.46%.
Event identification in acoustic emission from wire breaks in pre-stressing/post-tensioning cables
Authors: Mahmoudkhani Sadegh , Zhao Junhui , Cochingco Jasmin , Mufti Aftab , Thomson Douglas 
Published: April 2024

Abstract
Steel tendons commonly used in pre-stressed/post-tensioned concrete structural systems can lose cross-section due to corrosion, eventually leading to acoustic emission (AE) events when the stress exceeds the breaking strength of the wires that make up the tendons. Reliable differentiation of wire break AE events from traffic or grout crack events is critical for monitoring large structures, even where the distance between sensors may produce highly attenuated signals. In this paper, the Fuzzy c-means clustering algorithm was employed to differentiate AEs released from breaking wires of steel tendons from a database of 13464 AEs, including wire breaks, environmental and grout crack AEs. Wire breaks and grout crack AEs were collected from axial loading tests of grouted tendons in which the load increased until a wire broke. Environmental acoustic signals were collected from a bridge. Then all the collected AEs were gathered in a database and post-processed to simulate attenuation of up to 20 m from source to sensor. To optimize the speed and reliability of the Fuzzy c-means clustering algorithm, a non-dominated sorting genetic algorithm-II (NSGA-II) was used to find the minimum number of acoustic features needed. The NSGA-II algorithm started with 201 possible acoustic features and found 12 combinations of features that resulted in more than 80% wire break detection accuracy. In contrast, less than 3% of grout cracks and 0% of environmental signals were detected as wire breaks. The proposed method is suitable for deployment in a large sensor network and has sufficiently low-computational requirements for at-the-sensor processing, eliminating the need to send high-frequency sampled data outside the sensor node.
Scaling neural simulations in STACS
Authors: Wang Felix , Kulkarni Shruti , Theilman Bradley , Rothganger Fredrick , Schuman Catherine , Lim Seung-Hwan , Aimone James B 
Published: April 2024

Abstract
As modern neuroscience tools acquire more details about the brain, the need to move towards biological-scale neural simulations continues to grow. However, effective simulations at scale remain a challenge. Beyond just the tooling required to enable parallel execution, there is also the unique structure of the synaptic interconnectivity, which is globally sparse but has relatively high connection density and non-local interactions per neuron. There are also various practicalities to consider in high performance computing applications, such as the need for serializing neural networks to support potentially long-running simulations that require checkpoint-restart. Although acceleration on neuromorphic hardware is also a possibility, development in this space can be difficult as hardware support tends to vary between platforms and software support for larger scale models also tends to be limited.
In this paper, we focus our attention on Simulation Tool for Asynchronous Cortical Streams (STACS), a spiking neural network simulator that leverages the Charm++ parallel programming framework, with the goal of supporting biological-scale simulations as well as interoperability between platforms. Central to these goals is the implementation of scalable data structures suitable for efficiently distributing a network across parallel partitions. Here, we discuss a straightforward extension of a parallel data format with a history of use in graph partitioners, which also serves as a portable intermediate representation for different neuromorphic backends.
We perform scaling studies on the Summit supercomputer, examining the capabilities of STACS in terms of network build and storage, partitioning, and execution. We highlight how a suitably partitioned, spatially dependent synaptic structure introduces a communication workload well-suited to the multicast communication supported by Charm++. We evaluate the strong and weak scaling behavior for networks on the order of millions of neurons and billions of synapses, and show that STACS achieves competitive levels of parallel efficiency.
Assessment of the impact of Uber system implementation on mortality from traffic injuries in Brazilian capital cities
Authors: de Aquino Érika Carvalho , Silva Renato Rodrigues , de Morais Neto Otaliba Libânio 
Published: April 2024

Abstract
The rapid expansion of Uber Technologies, Inc.’s ride-sharing, courier service, and food delivery system and e-hailing applications has been transforming the logistics network and urban mobility around the world. We aimed to evaluate the impact of the Uber system on traffic injury (TI) mortality during its implementation in Brazilian capital cities. A quasiexperimental design of interrupted time series was used. The monthly mortality rates for TI standardized by age were analyzed. The date of availability of the Uber app, specific to each capital, was considered the start date. Data from the Brazilian Mortality Information System and the Brazilian Institute of Geography and Statistics were used. For the data analysis, from an interrupted time-series design, autoregressive integrated moving average (ARIMA) models with a transfer function were fitted. In 92.6% (n = 25) of Brazilian capitals, there was no impact of Uber system implementation, 12 months after the start of its activities, on TI mortality. A reduction in mortality from this cause was observed after the system was implemented in Belo Horizonte and Rio de Janeiro. The impact on TI mortality was progressive and continuous in both. More studies are needed to establish the factors associated with the inequalities observed in the impact of Uber system implementation between different locations and the heterogeneity of effects.