bluuebunny/crossref_metadata_2025 huggingface dataset:
The longtime global climatic consequences modeling of the Chicxulub asteroid impact event
Authors: Parkhomenko V P
Published: December 2021

Studies indicate the mass death of a significant number of biological groups on Earth, in particular - dinosaurs, at the end of the Cretaceous period 66 million years ago. Currently, there are two main theories: large-scale volcanic eruptions and the asteroid impact that formed the Chicxulub crater (Mexico). The production of sulfur-containing gases from the Earth’s surface layers vapors during impact is considered a main source of climatic effects, as they form stratospheric sulfate aerosols that block sunlight and thus cool the Earth’s atmosphere and interfere with photosynthesis. It is presented an application of the 3-D coupled global hydrodynamic climate model of intermediate complexity, including ocean model, sea ice evolution model and energy - moisture balance atmosphere model to study this asteroid impact effects on the Earth’s climate. The model continents and ocean depths distribution corresponds to Cretaceous period. A series of calculations with different residence times and deposition times of the stratosphere aerosol have been carried out. It was found that, depending on the stratosphere aerosol time parameters, the global annual average surface air temperature decreased by 18°C - 27°C, remained below zero for 4 - 30 years, and a recovery time of more than 30 years was observed.
Design and first simulations of the TASEC-Lab power subsystem
Authors: Marín-Coca S. , González-Bárcena D. , Pindado S. , Roibás-Millán E.
Published: December 2021

This paper describes the modelling and simulation of the Electrical Power Subsystem (EPS) of the Thermal Analysis Support and Environment Characterization Laboratory (TASEC-Lab). TASEC-Lab is a university experiment on board a sub-orbital platform. It is designed to measure the convection heat transfer in high-altitude balloon missions. The EPS provides, regulates, and distributes electric power to the different systems, parts, and sensors that compose the TASEC-Lab (e.g., On Board Computer (OBC), temperature and pressure sensors, cup anemometer, GPS, heaters... ). It mainly consists of a Li-ion battery and two DC-DC converters, and they have been characterized by conducting laboratory tests and fitting to experimental data. A real power consumption profile of the first TASEC-Lab’s mission (designed by Universidad Politecnica de Madrid) is used as input to simulate the EPS. The mathematical model is validated by comparison with experimental results.
Beyond the brain: towards a mathematical modeling of emotions
Authors: Ambrosio Benjamin
Published: December 2021

This article focuses on a mathematical description of the emotional phenomenon. The key concept is to consider emotions as an energy, and to rely on the analogy with the electromagnetic waves. Our aim is to provide a mathematical approach to characterize the emergence of emotional fluxes in the human psyche. This goes beyond classical pscychological approaches. In this setting, specific emotions correspond to specific frequencies and our psychic state results from the summation of different characteristic frequencies. Our general model of psychic state is a dynamical system whose evolution results from interactions between external inputs and internal reactions. The model provides both qualitative (frequencies) and quantitative (intensity) components. It aims to be applied to real life situations (in particular in work environments) and we provide a typical example which naturally leads to a problem of control.
Optimal emission control and identification of an unknown pollution source
Authors: Parra-Guevara David , Skiba Yuri N.
Published: December 2021

The advection-diffusion-reaction equation is used for describing the dispersion of a quasi-passive contaminant from industrial point sources in a limited area. The conditions established on the open boundary ensure that the problem is correct in the sense of Hadamard, that is, its solution exists, is unique, and is stable to initial perturbations. The Lagrange identity is used to construct the adjoint operator and formulate an adjoint problem. Equivalent direct and adjoint estimates are derived to assess the concentration of the pollutant at monitoring sites of the area. Formulas obtained on the basis of adjoint estimates are useful in analysing the sensitivity of the model to both variations in the intensity of pollution sources and variations in the initial distribution of the pollutant concentration in the area. New optimal emission control strategies based on using the adjoint estimates are developed in order to prevent violations of existing sanitary standards by timely reduction of emission rates of operating sources. Optimal control here lies in minimizing these reductions. In addition, this control is primarily aimed at reducing the intensity of emissions from sources that most pollute the monitoring site. Also, new methods are proposed for identifying the main parameters of an unknown point source that arose as a result of a dangerous incident (accident, explosion, etc.). These methods allow determining the location and intensity of a constant or non-stationary point source, as well as the moment of emission of a pollutant in the case of an instantaneous point source. This helps to quickly assess the scale of the incident and its consequences. Numerical results show the effectiveness of the methods.
The influence of joint geometry of toneholes with the main bore of wind musical instruments on their frequency characteristics
Authors: Gerasimov R A
Published: December 2021

The article discusses the influence of geometric parameters (the presence and magnitude of the radius of curvature) at the junction of the toneholes with the main bore of the air column on the frequency characteristics of woodwind musical instruments. A theoretical calculation of the eigenfrequencies of an air column with one tonehole in the case of sharp edges has been carried out. The resonance frequencies were also found using computer simulation in the COMSOL Multiphysics 5.5 program for the case of sharp edges and joints with a radius of curvature. An empirical dependence of the frequency of the main tone of the air column on the radius of curvature of the edges of the tonehole is obtained. All simulation were carried out for two models: excluding and including viscous drag and thermal exchange losses.
Hybrid modeling of the human cardiovascular system using NeuralFMUs
Authors: Thummerer Tobias , Tintenherr Johannes , Mikelsons Lars
Published: December 2021

Hybrid modeling, the combination of first principle and machine learning models, is an emerging research field that gathers more and more attention. Even if hybrid models produce formidable results for academic examples, there are still different technical challenges that hinder the use of hybrid modeling in real-world applications. By presenting NeuralFMUs, the fusion of a Functional Mock-up Unit (FMU), a numerical ODE solver and an artifical neural network, we are paving the way for the use of a variety of first principle models from different modeling tools as parts of hybrid models. This contribution handles the hybrid modeling of a complex, real-world example: Starting with a simplified 1D-fluid model of the human cardiovascular system (arterial side), the aim is to learn neglected physical effects like arterial elasticity from data. We will show that the hybrid modeling process is more comfortable, needs less system knowledge and is therefore less error-prone compared to modeling solely based on first principle. Further, the resulting hybrid model has improved in computation performance, compared to a pure first principle white-box model, while still fulfilling the requirements regarding accuracy of the considered hemodynamic quantities. The use of the presented techniques is explained in a general manner and the considered use-case can serve as example for other modeling and simulation applications in and beyond the medical domain.
Optimum Placement of Long Gauge FBG Sensor in Reinforced Concrete Bridge: A Case Study
Authors: Lala Sayantani , Basumallick Nandini , Biswas Palas , Bandyopadhyay Somnath
Published: December 2021

In the world today, civil infrastructure plays a major role in the advancement of the modern age. They are huge in scale, complex in their behaviour and create great impact in everyday life. To ensure safety of these structures, assessment of their structural integrity is an important and challenging task. The sole purpose of structural health monitoring is to detect damage in the structures and suggest suitable rehabilitation measures. Various sensors are employed to achieve the task of damage detection and establish a warning system to avoid failure of the structures. For large structures, long-gauge Fibre Bragg Grating (FBG) sensors which are sensitive to the global behaviour, can be suitably used for this purpose. However, health monitoring of a structure with large number of sensors is expensive and hence there is a need to optimize the number of sensors deployed to minimize the cost of the exercise without compromising on performance assessment. For this purpose, several optimization algorithms are available in literature. In this study, the Effective Independence Method (EIM) which optimizes the response of the structure based on modal analysis, is used to derive the Optimum sensor placement (OSP) protocol for a reinforced concrete (RC) bridge-deck in Poland, the geometry of which has been taken from literature. This will enable the placement of 40 long gauge FBG sensors in regions for efficient damage response in the bridge-deck. Further, the optimum orientation of the sensors is further validated with a finite element model of the bridge-deck, where a moving load is applied, and strains are recorded in the sensing fibre in both longitudinal (along length) and transverse (along breadth) alignments. It has been found that long gauge FBG sensors placed in the transverse direction are more efficient in damage detection than when they are placed longitudinally.
Assessment and ranking flood events in a regulated river using information and complexity measures
Authors: Sawaf Mohamad Basel Al , Kawanisi Kiyosi , Xiao Cong
Published: December 2021

The availability of a robust approach that describe the hidden features of flood events in regulated rivers is of great importance. The key goal of this research is to utilize some of information and complexity measures to assess and rank flood patterns within a regulated river system. To meet this goal, the Metric Entropy (ME) as measure of information content and Rényi Complexity (CR) as a quantification for complexity content were employed. To examine the role of river regulation on flood risk control, river stage records of two monitoring stations located at downstream of two different dams were considered in this research. The findings show that information and complexity metrics offer an image of the randomness embedded in dataset and the presence of internal patterns in studied data records. In general, this research shows that natural environmental risks and disasters can be assessed and ranked using a promising physical scheme based on information and complexity measures.
E-module on elasticity of solids topic through cooperative learning to improve learning outcomes and motivation: Validity aspects
Authors: Muhammad N , Hamid F , Misbah M , Dewantara D
Published: December 2021

This study aims to describe the validity of the electronic module on the elasticity of solids topic through the cooperative learning model to improve students’ learning outcomes and motivation. This research is a research and development with the ADDIE development model. This electronic module was assessed by using the electronic module’s validation sheet. The validators of this e-module consisted of two academics and one practitioner. Based on the validation results, it was obtained that the validity of the electronic module was 3.49 with a valid category. It shows that the electronic module on the elasticity of solids topic through cooperative learning models can be used in the classroom learning process to improve student’s learning outcomes and motivation.
Learning how to plan a science lesson: An exploration of pre-service science teacher reflection in online microteaching
Authors: Haryanto Z , Sulaeman N F , Nuryadin A , Putra P D A , Putri S A , Rahmawati A Z
Published: December 2021

As a compulsory approach in shaping pre-service teachers for Technological Pedagogical Content Knowledge (TPACK), microteaching is either essential and challenging. During the COVID-19 pandemic, the shift from offline to the online microteaching course had occurred. This major shift drives the change of planning science lessons. Our research examined how pre-service science teachers designed and reflected their planning on a 30-minute microteaching unit. The participants of our study were four groups of pre-service science teachers that consisted of five students. The participants were pre-service science teachers from two national universities in Indonesia that were chosen by purposive sampling. The data was collected through the lesson plan, self-reflection to the lesson plan, and group discussion. We conducted both qualitative and quantitative analysis on research data for content analysis. The qualitative analysis dealt with the themes and patterns of the theme, while quantitative analysis dealt with the duration and frequency of the theme. Based on the analysis, the single domains such as CK, PK, TK were shown in the lesson plan. However, the complex domain of TPACK was rarely seen. The group discussions revealed that teacher educators need to become specific and explicit about which technology is being infused to support learning. It is significant to enhance the TPACK during planning in online microteaching classes and conduct further study of the implementation of this planning in the lesson.
The implementation of guided discovery learning model to improve students’ characters of responsibility and academic skills
Authors: Ahmad F , Mastuang M , Misbah M
Published: December 2021

The low level of responsibility and academic skills can hinder students in developing all their potentials to obtain more meaningful information and stay on one’s memory. Thus, research was conducted to improve the character of responsibility and the academic skills of Grade XI Science 1 students at SMA Negeri 12 Banjarmasin. This type of research is a class action model adapted from Kemmis and Mc Taggart, consisting of 2 cycles. Each cycle includes planning, implementation/observation, and reflection. The research subjects involved were 23 pupils. Observation and tests were conducted to collect the data needed. The instruments used were observation sheets on the implementation of the Learning Implementation Plan. Observation sheets were utilized to analyze student responsibility characters, science process skills tests, and cognitive ability tests. Data were analyzed descriptively. The findings of the research instruments from cycle I to cycle II stated: (1) the implementation of the Learning Implementation Plan in the first cycle of the first meeting obtained a score of 79.43% (good), and the second meeting received 85.36% (very good). In the second cycle, the first meeting got 91.73% (excellent) and the second meeting achieved 93.17% (very good); (2) The average level of student responsibility in cycle I and cycle II increased from 65.81% (high) to 81.42% (very high); (3) Students’ science process skills in cycle I and cycle II also increased from 0.58 (quite skilled) to 0.92 (very professional); (4) The classical cognitive ability of students in cycle I and cycle II increased from 78.26% (completed) to 100% (completed). It was concluded that the guided discovery learning model helped improve students’ responsibility and academic skills.
Analysis of the livewire software application on students’ learning understanding and motivation on ohm’s law concepts
Authors: Nurussaniah  , Sari I N , Rudi M
Published: December 2021

The study aimed to analyze the conceptual understanding and motivation to learning physics in schools with the help of livewire software. An experimental method with a post-test-only nonequivalent control group design was used to examine Ohm’s Law. The sample for the study consisted of a control class with 36 students and an experimental group comprising 37 learners drawn from a population of 145 through random sampling. Data collection tools used were tests and questionnaires to collect data, which was analyzed using the non-parametric statistics technique. The results showed that the livewire software made students’ understanding of Ohm’s Law concepts better compared to learning without the help of the software. Livewire software can motivate students to study Ohm’s Law.
Meta-analysis of the application inquiry learning models in physics classes
Authors: Budi G S
Published: December 2021

This research aims to analyze the inquiry learning model in the physics learning process. The samples of the study were 10 theses done by physics education students of Palangka Raya University. The theses were written by the students based on their research in applying the inquiry model in Palangka Raya Senior High School and in Junior High School. The theses were selected from among hundreds of reports based on the similarity topics started from the year 2015 until 2019. The method of this research is called meta-analysis, i.e., collecting the data from 10 selected thesis and analyzing them. To ensure the result, the researcher also carried out an interview with the students who wrote the thesis. The result of this meta-analysis research is that the inquiry learning model can improve student learning outcomes and also able to improve student skills such as Science Process Skills. However, the average score of the physics classes was still below the Minimal Achievement / Completeness Criteria, which is 75 %. It was found from the interview that the low achievement score of the physics classes was likely due to the lack of experience in teaching as well as lack of mastering the inquiry model.
IoT-Based 3D Printer Development for Student Competence Improvement
Authors: Prianto Eko , Sigit Pramono Herlambang , Yuchofif
Published: December 2021

This study aims to develop an IoT-based 3D Printer as a CNC Maintenance and Repair Learning Media, identify competencies that can be supported by an IoT-based 3D Printer Learning Media, and find out the implementation of 3D Printers in learning to improve student competence in the Mechatronics Engineering Education Study Program. The method used in this research is Research and Development using the ADDIE model, namely Analyze, Design, Development, Implementation, and Evaluation. The results of this study obtained an IoT-based 3D Printer machine that has been tested both in terms of function and feasibility which can be used in learning to improve the competence of students of the Mechatronics Engineering Education study program and the competencies supported by the learning media.
Application of LQR Full-State Feedback Controller for Rotational Inverted Pendulum
Authors: Setiawan N , Pratama G N P
Published: December 2021

The rotational inverted pendulum is an interesting subject for some researchers, especially control engineers. Its nonlinear and underactuated characteristic make it quite challenging to stabilize it. Hence, a proper control law is a must to make it stable. Here, in this paper, we present a control law using LQR (Linear-Quadratic Regulator) to stabilize the rotational inverted pendulum. The experiments are carried out by linearizing the model and simulate the response in MATLAB. The results show that the controller succeeds to stabilize the states of rotational inverted pendulum to their respective equilibrium points. Even more, it provides zero settling errors.
Development and Effectiveness of Drone as a Learning Media in Islamic Boarding School
Authors: Djatmiko I W , Yatmono S , Nugraha A C
Published: December 2021

Nowadays, drone technology is not only be used in commercial businesses but can also be utilized in a teaching-learning process, including in Islamic boarding school. This article will be discussed the development, performance, feasibility, and effectiveness of drone technology to be utilized as a learning media at Pesantren Hidayatullah Yogyakarta that is one of Islamic boarding school. The developed drone was the multicopter with a multi-rotor type using four rotors. This study was conducted with the development research approach developed by Alessi and Trollip and the descriptive research approach. This drone was applied in teaching-learning process at Pesantren Hidayatullah Yogyakarta. Data were obtained through drone’s testing and observation, interviews, questionnaires for the drone’s affectivity in teaching-learning process. The results of this study can be known that the drone performance is categorized as “Very Good” in terms of functionality and usability aspects. The drone feasibility in the term of material quality and its usefulness is included in the “Very Feasible” category. The drone as learning media has had significantly impact when it’s applied in learning process in extracurricular activities.
Effect of Mesh Topologies to Predict Cooling Effect on Evaporative Cooling Duct
Authors: Jamaldi A , Sarjito  , Nurrohkayati A S , Atmoko N T
Published: December 2021

This paper examines the effect of different mesh types on a numerical study of evaporative cooling in the chimney. This research is a follow-up study from previous research. The test specimen used is an evaporative chimney design with the addition of a nozzle arrangement in it. The main focus of this research is the study of mesh refinement, namely by applying structured mesh during the simulation process. Three types of mesh with different levels of fineness were used for the specimens. They are coarse ( mesh A), medium (mesh B), and fine (mesh C). In addition to differences in mesh, research was also carried out with variations in the level of relative humidity (RH). The RH levels used are 5, 10, and 15%. Two main parameters of evaporative cooling performance are airflow distribution and temperature drop in the chimney. Method for measuring the distribution of airflow and temperature drop in the chimney by making five planes with different heights. The results showed that the simulation with mesh B produced a good agreement data with previous studies than mesh A and C. The RH level that generated the most optimal cooling is found at 5% RH.
Stress Distribution Analysis of the Rectangular and Star-Blade for Plastic Crusher Machine Using Finite Element Analysis
Authors: Mataram Nalendro , Pranoto Sigiet Haryo , Yaqin Rizqi Ilmal , Nurrohkayati Anis Siti , Bahry Noer Aden , Saputro Nuruddin Wahyu Eko , Syach Sabaruddin
Published: December 2021

Recycling plastic waste can help reduce plastic waste, which is the world’s largest problem. The first solution is a plastic crusher machine, which converts plastic packaging into pellets, especially for plastics made from polyester, which is often used in bottle packaging. An integral part of the crushing machine is the crushing blade, which determines the design and analysis of the blade. The finite element analysis method is widely used in engineering analysis. Its results can provide useful information for the analysis of manufacturing processes. A rectangular blade and a star-shaped blade are the two types to consider. The analytical results obtained on the blade of the crusher machine in the rectangular shape that was given loads by 200 N, 400 N, and 600 N are 1.285 × 103 N/m2, 2.570 × 103 N/m2, and 3.855 × 103 N/m2, respectively. We obtained the displacements are 1.080 × 10-6 mm, 2.160 × 10-6 mm, and 3.241 × 10-6 mm, respectively. The maximum von mises stress result on consecutive star-shaped blades are 8.890 × 102 N/m2, 1.778 × 103 N/m2, and 2.667 × 103 N/m2. The displacement obtained are 1.211 × 10-6 mm, 2.422 × 10-6 mm, and 3.633 × 10-6 mm. The results of this analysis indicate that for the star blade, the shape is better than for the rectangular blade at the same time, and for the star blade, the stress is smaller than for the rectangular blade. Based on this simulation, the safety factor is 15, which means that it is more than 1, which means that it is safe.
Economic Analysis Development and Provider Elective Decision Model on Auto-ID Technology Investment
Authors: Nurrohkayati Anis Siti , vanany Iwan
Published: December 2021

In the last few years, the warehousing system use Auto Identification technology to manage the warehouse operation. Auto-ID is often used to obtain the information about amount, location, content, and condition of part or product. However, some industries still use manual warehouse management. Manual warehouse management systems usually cause some problem like inventory shrinkage and stock out. The investment and application of Auto-ID technology on the warehouse system can reduce the effect of the manual system. The use of Auto-ID technology in warehousing systems has a significant effect on the reduction of human error, the reduction of loss of goods, the accuracy of inventory stock, and can handle the product in large quantities, the speed of acceptance, and improve the delivery process. In this research, the cost and benefit analysis was carried out to assess the Auto-ID technology investments. The cost of inventory shrinkage reduction, labor and stock out, and the increase of productivity and maintenance on the spare parts warehouse management system used to analyse the cost benefit. To determine the expected NPV value in Auto-ID technology investments used Monte Carlo analysis. Furthermore, a company’s evaluation for selecting an Auto ID provider is a significant aspect. The evaluation of decision making for selecting Auto ID vendors is based on three criteria. This is referred to as many criteria decision making. Vendor performance, service after installation, and system attributes are the criteria employed in the decision-making model. Evaluation of Auto-ID vendor selection is done by using AHP. Based on the results of AHP analysis for the selection of Auto-ID suppliers, it was found that supplier PT C was the main priority (39.3%) for best suppliers, and the last priority was PT B (13.8%).
Development of Mobile Augmented Reality Based Media for An Electrical Measurement Instrument
Authors: Nursita Y M , Hadi S
Published: December 2021

The research aims to develop mobile learning media with augmented reality for electrical measurement instruments. The learner can use this application to improve their skills and knowledge about using electrical measurement instruments correctly. One of the essential skills for electricians is using voltmeter, ammeter, and ohmmeter. The result of measuring they can do some analysis about an issue or troubleshooting the electrical field. From the development research, was produced learning media application product was named ARAVO. ARAVO is an abbreviation of augmented reality of Ammeter, Voltmeter, and Ohmmeter. ARAVO helps learners and even lecturers to simulate the use of electrical measuring instruments by combining virtual objects such as multimeter with the real world. Thus will provide a more visible visualization of how to use electrical measuring instruments before they practice directly with actual measuring instruments. ARAVO is a mobile application that can run on the smartphone platform mobile Android. Into the development of this application must go through several stages before it is ready for use.
Need Analysis of Interactive Multimedia Development for Virtual Learning in Pandemic
Authors: Lempas J F , Soenarto S , Barahama A D
Published: December 2021

The pandemic that has not ended has an impact on changing the educational paradigm. Existing conditions demand to continue to use virtual learning. During the epidemic, this study will examine students’ demand for interactive multimedia in virtual learning. The interviews reveal that the media that teachers provide in virtual learning during this pandemic has limits. Data was gathered through interviews and questionnaires given to teachers and students. The student requirements questionnaire reveals that interactive multimedia is the most effective instructional medium for pupils. This study is part of a larger investigation of the evolution of multimedia learning during a pandemic.
Redesign The Electricity System of PT Barata Indonesia To Reduce Annual Power Loss
Authors: Ali Muhamad , Arifin Zaenal
Published: December 2021

PT Barata is one of Indonesia’s leading turbine component manufacturers, requiring a large amount of electricity for production. Along with the increase in production and factory expansion, the need for electricity continues to increase so that it continues to add power to reach 3780 KVA. One of the weaknesses of the electric power system at PT Barata is using six (6) 20kV/400 V, 630 kVA transformer units. This system produces a no-load or core loss of 8150 Watts. In one year, the power loss reached 71.394 kWh at the cost of IDR 118,514,040.00. Power loss is permanent and lasts all the time during the use of the Transformer. This article aims to redesign the electrical system at PT Barata using a single 4000 kVA transformer. The redesign of the electric power system at PT Barata was carried out by 1. Observing and measuring the electric power system at PT Barata, 2. calculating the resulting losses, 3. conducting studies and designs, 4 comparing the ratio of the total power loss of the electric power system currently with a new design, 5. Propose a redesign to management for implementation. Calculation and analysis of the new design with a 4000 kVA transformer obtained a core loss of 4450 Watt at the cost of Rp. 64,905.030.00, resulting in a savings of IDR. 53,965,980.00 per year. The new design will save 45% in operating costs compared to the previous six transformer units.
Prototype Development Of Distance Detection System Based On The Internet Of Things Using Esp 8266 Wifi Nodemcu Module
Authors: hertanto Deny Budi , Asnawi Rustam , Surwi Faranita , Setiawan Nurman
Published: December 2021

In the previous article about detecting train arrivals [4], we discussed the data transmission process which is the weakness of the system. This article discusses how to overcome these shortcomings. Distance detection systems need to be added to devices that are more powerful and faster in transmitting data. The prototype is built based on the development of the previous prototype. The initial product is a distance detector that has a motion sensor and a data transmission module in the form of Lora 400 MHz and a GSM module. Product development includes the addition of the NodeMCU WIFI module to existing devices. System development aims to: (1) Develop a distance detection system equipped with a WIFI module; and (2) Increase the data transmission speed of the distance detection system equipped with the WIFI NodeMCU module. The implementation method uses research and development techniques [3]. System development takes 6 months, with the stages of completion being system requirements analysis, hardware, and software design, system prototyping, and tool testing. Checklist data and delivery time are used as test data. Furthermore, the data is analyzed quantitatively to determine the achievement of results according to predetermined indicators. The device is equipped with a GPS module, a Lora-R02 receiver and transmitter module, and a Nodemcu ESP8266 module as a replacement for the 900A SIM module which transmits data faster. When the device is being tested, all the sensors of the tool work well at range of 125 meters (previously less than 100 meters). While the Lora module can react when the object has reached a distance of 300 meters. Data transmission previously using GSM modules took 10-13 seconds. After using the WIFI module, data transmission only takes 1-3 seconds.
Performance efficiency of virtual laboratory based on Unity 3D and Blender during the Covid-19 pandemic
Authors: Hamid M.A. , Rahman S.A. , Darmawan I.A. , Fatkhurrokhman M. , Nurtanto M.
Published: December 2021

Testing the performance efficiency aspect was carried out to test the performance efficiency of the Unity 3D and Blender-based virtual laboratory media during the COVID-19 pandemic at the Electrical Engineering Vocational Laboratory. This test is carried out to test the performance of the media that has been created. The aspects tested are access speed, process speed, and simulation speed when run. Tests were conducted to measure processor and memory consumption through real time monitoring using MSI Afterburner. Divided into 2 stages of testing, namely time behavior and resource utilization. Time-behavior is focused on how long it takes the media or software to provide a response time to perform an action from a certain function. Resource-utilization is the degree to which software uses some resources when doing something under certain conditions.
A Multilayer Path Planning Method for High Voltage Distribution Network Based on the Floyd-Warshall Algorithm
Authors: Quan Zhaolong , Xing Jie , Cao Ruilin
Published: December 2021

With the development of the city, a huge number of distribution networks are waiting for planning. A reasonable planning scheme can meet the power demand and reduce the investment cost. In this paper, a life cycle cost model including the investments of substation and wiring is established with the constraints about load flow calculation and maxi-mum load of wiring. Additionally, a multilayer planning method based on the Floyd-Warshall algorithm has been proposed to solve the model. The area of the city containing substations is divided based on the position of load through the hybrid clusters algorithm in the method. Then, using the divided result of power supply area, the cost matrix for the multilayer path planning method can be constructed through the principle of the method. Lastly, with the cost matrix, the planning scheme in each area will be provided by the Floyd-Warshall algorithm. The result on the actual planning area between the two algorithms shows the total cost of the investment is decreased through using the planning method in this paper.
Research on load loss prediction of distribution network outage based on hybrid neural network
Authors: Liao Jiamin
Published: December 2021

In order to fully mine the relationship between temporal characteristics in load data and improve the accuracy of load forecasting, a load forecasting method based on convolutional neural networks (CNN) and gated recurrent unit (Gru) hybrid neural network is proposed. Taking date factors, climate factors and similar daily load factors as input, the sample data sets in the region are grouped by K-means clustering method; Then cnn network is used to extract the relationship between features and load in high-dimensional space, construct the high-dimensional feature vector of time series, and input the results into Gru network; Finally, the parameters of Gru network model in each group are trained and the load forecasting value is output. The results show that the proposed load forecasting method has significant advantages in forecasting accuracy and efficiency compared with long short term memory (LSTM) network model, Gru network model, cnn-lstm network model, support vector machine regression model and decision tree model.
Research on Pump Product Intelligent Fault Diagnosis System Based on Dig Data
Authors: Xu Yimei , Xu Xiaoqing
Published: December 2021

With the integration of information technology and manufacturing industry and the improvement of equipment monitoring data and computer computing ability, equipment fault diagnosis has entered the era of “big data”. Using big data analysis method for fault diagnosis, the fault diagnosis model can learn its own characteristics and complete fault identification, so that the fault diagnosis is more intelligent and automatic on the basis of high identification accuracy. This paper mainly studies the application of fault diagnosis method and big data analysis method in pump product fault diagnosis.
Research and analysis of steering-by-wire system stability
Authors: Fu You , Zhang Lizhu , Wei Chuanbin , Tang Peng
Published: December 2021

In this paper, the basic structure of steer-by-wire system is firstly introduced, and the steering stability of steer-by-wire system is summarized by means of stability control method and variable angle transmission ratio method. Finally, the unstudied direction of steer-by-wire system at this stage is summarized, and the intelligent steer-by-wire system is prospected, which provides basic information and ideas for the study of steering stability of steer-by-wire system.
Data-driven predictive control for the swing process of a cutter suction dredger
Authors: Yu Chengxi , Yu Menghong , Yuan Wei
Published: December 2021

The working process of cutter suction dredger is complex, so it is difficult to establish accurate model by traditional physical modeling method. The final yield of cutter suction dredger is directly related to the density of the slurry in the pipeline, while the density is controlled by the swing process. Therefore, by analyzing the measured data of the dredger, it establishes the swing process mathematical model based on subspace theory. The algorithm is based on input–output data, simulation results show the algorithm is effective for the control application.
Comparison of unfolding methods for the inference of runaway electron energy distribution from γ-ray spectroscopic measurements
Authors: Panontin E. , Dal Molin A. , Nocente M. , Croci G. , Eriksson J. , Giacomelli L. , Gorini G. , Iliasova M. , Khilkevitch E. , Muraro A. , Rigamonti D. , Salewski M. , Scionti J. , Shevelev A. , Tardocchi M.
Published: December 2021

Unfolding techniques are employed to reconstruct the 1D energy distribution of runaway electrons from Bremsstrahlung hard X-ray spectrum emitted during plasma disruptions in tokamaks. Here we compare four inversion methods: truncated singular value decomposition, which is a linear algebra technique, maximum likelihood expectation maximization, which is an iterative method, and Tikhonov regularization applied to χ
2 and Poisson statistics, which are two minimization approaches. The reconstruction fidelity and the capability of estimating cumulative statistics, such as the mean and maximum energy, have been assessed on both synthetic and experimental spectra. The effect of measurements limitations, such as the low energy cut and few number of counts, on the final reconstruction has also been studied. We find that the iterative method performs best as it better describes the statistics of the experimental data and is more robust to noise in the recorded spectrum.
NodeMCU controlled tortoise-shaped bandwidth reconfigurable antenna for 4G and 5G applications
Authors: Allam V. , Madhav B.T.P. , Gopi D. , Phanindra Vinay K.
Published: December 2021

A NodeMCU controlled tortoise-shaped bandwidth
reconfigurable antenna for 4G and 5G applications depending upon the
condition of the PIN diode switch is presented in this paper. By
using FR-4 substrate and limited ground plane antenna is designed
with a dimensions of 33 × 22 × 1 mm3. The fabricated
antenna is working for Wi-Fi, INSAT C-band, & direct broadcast
service in the Ku band with a frequency range of 2.13–2.98 GHz,
6.86–8.42 GHz, and 12.03–13.13 GHz, respectively. PIN diode used
to adjust the operational frequency ranges, which will be operated
by the NodeMCU module. When the PIN diode is in the OFF state, the
design antenna resonates at 2.24, 7.81, and 13.70 GHz, and when the
PIN diode is in the ON state, it resonates at 2.45, 7.21, and
12.46 GHz. The designed antenna has a gain of 2.2 to 3.25 dB. In
the ON state, the proposed bandwidth reconfigurable antenna has a
radiation efficiency of more than 92 percent at all operational
frequencies. The measured and simulated (CST Microwave Studio)
findings are very similar. The CDAC Cmote unit examines the proposed
reconfigurable antenna in a practical situation, and sensor data is
successfully sent to the cloud. The data is analyzed using the
machine learning technique.
First in-beam experiment with the ELIADE detectors: a spectroscopic study of 130La
Authors: Capponi L. , Kuşoğlu A. , Söderström P.-A. , Balabanski D.L. , Turturică G.V. , Bocchi G. , Chesnevskaya S. , Dhal A. , Dinescu D. , Djourelov N. , Niu Y. , Oprisa A. , Pappalardo A. , Suliman G. , Ur C.A.
Published: December 2021

The new facility, Extreme Light Infrastructure – Nuclear
Physics (ELI-NP), is a combined laser-gamma nuclear physics research
facility currently undergoing its final implementation stages in
Măgurele near Bucharest, Romania. It already hosts two
fully-operational 10 PW laser arms and, by 2023, it will also house
a γ-beam system based on laser Compton backscattering,
capable of delivering a high-brilliance, low-energy beam at
E
γ ≲ 19.5 MeV. Owing to this unique laser-gamma
instrumentation combination, several types of experiments will be
possible at ELI-NP, including high precision nuclear resonance
fluorescence (NRF) experiments. In this case, the main γ-beam
detection system for performing NRF studies at ELI-NP is represented
by the ELI Array of DEtectors (ELIADE), featuring eight high-purity
germanium (HPGe) segmented clover detectors. The current work
presents the characteristics of two of the ELIADE detectors,
including their photopeak detection efficiency, energy resolution,
and peak-to-total ratio measured using γ-ray sources, as well
as the timing performance obtained via in-beam measurements. For
these latter detector tests, 130La was populated via the fusion
evaporation reaction 121Sb(12C,3n)130La using a beam
energy of 53 MeV at the Horia Hulubei National Institute of Physics
and Nuclear Engineering (IFIN-HH), also located in
Măgurele. Herein, we report on the results of the ^130La
linear polarization measurements taken using the ELIADE detectors as
Compton polarimeters. The results obtained from the in-beam
experiment were compared to several already published works and we
present new information on the transition multipolarity in
130La.
Analysis of G+5 Storeys Building With and Without Floating Column
Authors: Singh S K , Priya Sarv , Nadeem Mohd , Alam Md Badar
Published: December 2021

In current period, several structures are being planned and built with structural complicatedness like building with floating columns on different floors and spaces. The buildings accompanying floating columns are extremely detrimental that is constructed in earthquake-prone regions. The current study analyses and compare the buildings with and without of floating column. The columns which are directly supported by a beam without any rigid base are known as floating columns. Various buildings have been constructed with floating columns in India. Typically, it is required to provide larger spacing between the columns to entertain the requirements of parking or reception lobbies. Some of the functional requirements of a building might be satisfied by providing the floating columns but the structural behaviour of the building changes abruptly. The beams that supported the floating columns require more flexure and shear demand than the surrounding beams. In addition, it leads to stiffness unevenness at a specific joint. Columns are the main structural elements that resist the lateral load in a rigid frame and have the importance in the performance of the building under earthquake load The storey’s stuffiness below the floating column is normally reduced. Therefore, an attempt has been made to analyse the performance of a G+5 storey building with and without floating columns and compare structural parameters such as horizontal displacement, storey drift and storey shear under seismic excitation using (ETABS) Software.
Experimental Study on Stabilisation of Clayey Soil Using Cement and Bagasse Ash
Authors: Sharma Tarun , Singh Sandeep
Published: December 2021

In order for the foundation of building to be strong, the soil around it plays a critical role. So, researcher or engineer should have thorough knowledge about the factors affecting behaviour of soil which can be altered by the process of soil stabilisation. This study aims to investigate the applicability of SCBA (Sugarcane Bagasse Ash) to stabilize the clayey soil. Sugar factories produce waste after extraction of sugarcane gets brunt and the ash, hence produced is known as bagasse ash. Soil is treated with partial replacement of cement (3%, 6%, 9% and 12%) and with bagasse ash (2%, 4%, 6%and 8%). A total of 45 specimens were prepared in this study. Later those test specimens were evaluated for compaction properties. The results found after thorough study was that there was increase in the compaction properties with percentage increase in Sugarcane Bagasse Ash up to certain limit.
Experimental Investigation on Mechanical Properties of Compressed Soil Blocks Manufactured Using Waste Materials
Authors: Wani Absar Yousuf , Bhandari Mohit
Published: December 2021

This experimental investigation is done on the earth compressed block prepared by the Waste material. These waste materials are Rice Straw Fiber, marble powder, and Sugarcane Bagasse ash. This waste pollutesthe environment and creates the problem of disposal. Redbrick needs heat treatment which results in air pollution, cement bricks need water for curing which needs waterusage in huge quantity. Marble powder stabilized bricks need sun drying. An increase in marble content in the bricks results in the increment of compressive strength due to the presence of calcium content in the marble powder.it also increases the dry density of the brick because marble powder doesnot absorbs water and can easily fill the voids created by the soil,Sugarcene Bagasse ash andRice Straw fiber. Rice Straw Fiber reduces the compression of bricks reason is fiber cuts off on the pressure and it also creates voids when blended with the soil mix making usage of bagasse in the brick can help in increasing the strength of the concrete due to its pozzalonic action with cement but bagasse ash reduces the dry density of bricks and doesnot affect the strength of bricks because its creates voids and it is chemically neutral in bricks.