bluuebunny/crossref_metadata_2025 huggingface dataset:
Handling Massive Proportion of Missing Labels in Multivariate Long-Term Time Series Forecasting
Authors: Cristovão Iglesias Jr , Mehta Varun , Venereo-Sanchez Alina , Xu Xingge , Robitaille Julien , Voyer Robert , Richard René , Belacel Nabil , Kamen Amine , Bolic Miodrag
Published: December 2021

Training Deep Learning (DL) models with missing labels is a challenge in diverse engineering applications. Missing value imputation methods have been proposed to try to address this problem, but their performance is affected with Massive Proportion of Missing Labels (MPML). This paper presents a approach for handling MPML in Multivariate Long-Term Time Series Forecasting. It is an two-step process where interpolation (using Gaussian Processes Regression (GPR) and domain knowledge from experts) and prediction model are separated to enable the integration of prior domain knowledge. First, a set of samples of the possible interpolation of the missing outputs are generated by the GPR based on the domain knowledge. Second, the observed input sensor data and interpolated labels from GPR are used to train the prediction model. We evaluated our approach with the development of a soft-sensor with one real datasets to forecast the biomass during recombinant adeno-associated virus (rAAV) production in bioreactors. Our experimental results demonstrate the potential of the approach through quantitative evaluation of the generated forecasts in a case that would be extremely difficult to train a DL model due to MPML.
Determining the current profile along the anode-cathode line in Cu/Ni electrolyte by logger pro
Authors: Aminudin M I , Toifur M , Sulisworo D
Published: December 2021

In electroplating, the broad role of cathode and anode is often neglected. This study aims to simultaneously prove the electric current in the three pairs of probes in the cathode-anode direction. It also describes the effect of variations in the anode-cathode area ratio. This result proves that the greater the ratio, the greater the current density in all pairs of probes. Data retrieval used a current sensor current probe DCP-BTA Vernier displayed on a computer screen with the help of Logger Pro software. The results in the study show that the current at every point in the measurement has a less identical graph. In electroplating, nickel (Ni)-1 has a relatively constant amplitude than nickel (Ni)-2. The variation of the anode area ratio at the first nickel (Ni) is 1: 0.821. The ratio of the anode area to the second nickel (Ni) is 1: 0.343. From the analysis results, the first nickel (Ni) has a relatively constant amplitude compared to the second nickel (Ni).
Fostering TPACK in pre-service physics teachers during the covid-19 pandemic
Authors: Putri S A , Sulaeman N F , Damayanti P , Putra P D A
Published: December 2021

The pandemic situation forces the educational system to respond to a variety of issues. During the pandemic, it’s essential to learn more about Technological-Pedagogical-Content-Knowledge (TPACK) and how it can be incorporated into pre-service physics teacher preparation. This qualitative research collects data from ten online teaching videos and ten offline teaching videos of 20 pre-service physics teachers. This study attempts to comprehend the appearance of each TPACK component by analyzing the videos with an observation sheet. The observation sheet explored seven components of TPACK, which are Content Knowledge (CK), Pedagogical Knowledge (PK), Technological Knowledge (TK), Pedagogical and Content Knowledge (PCK), Technological and Content Knowledge (TCK), Technological and Pedagogical Knowledge (TPK), and the last is Technological, Pedagogical and Content Knowledge (TPACK) itself. The result showed that pre-service teachers were determined good TPACK skills, but lacked in certain components. From the result, in both online and offline microteaching, participants rarely showed their TPK. In online activities, it is also seen that participants were faced difficulties in applying their PCK. The different nature of online and offline microteaching drives the need for teacher education institutions to plan and implement microteaching in the pedagogical courses to improve pre-service teachers’ TPACK in both situations.
Profile of students’ scientific literacy on particle dynamics
Authors: Mahtari S , Wati M , Rizky S , Dewantara D , Prahani B K
Published: December 2021

This study measures students’ ability to complete scientific literacy instruments on particle dynamics material analyzed using the Rasch model. This study uses a quantitative descriptive research design with a survey method. The research subjects were 29 students of class XI IPA 2 at State Senior High School 6 Banjarmasin. The data collection technique was carried out using a scientific literacy test on particle dynamics material in the form of reasoned multiple choice questions as many as ten questions. The research data were analyzed using the Rasch model with the Winstep program. The results showed that the MNSQ outfit was 0.94, Outfit ZSTD was 0.05, person reliability was 0.58 in the weak category, Cronbach’s alpha reliability was 0.92, the separation value was 1.17 with two groups. The students’ scientific literacy ability is quite good but still needs to be improved and retrained.
Validity of teaching materials for environmentally friendly technology products using STEM-based guided inquiry to improve students’ scientific literacy competence
Authors: Syahmani  , Kusasi M , Najmiati I
Published: December 2021

Students’ scientific literacy skills need to be improved because students in the 5.0 society era must have various skills. The availability of relevant student books has limitations in presenting the material. In overcoming this problem, science teaching materials that contain the scientific literacy referred to the 21st-century situation are needed. Therefore, research was conducted on developing integrated science teaching materials with STEM-based Guided Inquiry (STEM-based GI) to improve students’ scientific literacy competence. This study aims to determine the validity of teaching materials (integrated science modules, lesson plans, and learning outcomes tests) for STEM-based GI on the topic of Environmentally Friendly Technology (EFT) products to improve students’ scientific literacy competence. The research and development procedure used was the formative evaluation model. This research procedure was divided into three stages: self-evaluation, prototyping, and evaluation of field tests. However, this research only reached the stage of expert validation (prototyping). The results showed that the average value of the three validators was 94.33% which was included in the very valid category. The coefficient of agreement between validators was (R) 87.10%, included in the high category. Therefore, the resulting teaching material was valid and improved scientific literacy in junior high school science learning.
Application of virtual reality assisted probing prompting model to improve critical thinking skills and student learning outcomes
Authors: Mahdian  , Rahman A M , Leny  , Rusmansyah  , Saadi P
Published: December 2021

This study aims to find out (1) the improvement of students’ critical thinking skills to the application of probing prompting learning models assisted by virtual reality media in colloidal system materials, (2) improvement of students’ learning outcomes against the application of probing learning models assisted by virtual reality media on colloidal system materials, (3) the response of students to the application of probing learning models assisted by virtual reality media on colloidal system materials. tudy pretest-posttest design. This study sample was a student of class XI MIPA 4 at SMA Negeri 8 Kota Banjarmasin. Data collection uses to test and non-test techniques. Data analysis techniques use descriptive and inferential analysis techniques. The results showed that: (1) the application of The Probing Prompting learning model assisted by Virtual Reality media could improve the critical thinking skills of students, (2) the application of the learning model probing prompting assisted by virtual reality media on colloidal system materials can improve students’ learning outcomes, (3) the application of Probing Prompting learning model assisted by Virtual Reality media gets a good response from students.
Feasibility of STEM-based basic chemistry teaching materials to improve students’ science literature in wetland context
Authors: Kusasi M , Fahmi F , Sanjaya R E , Riduan M , Anjani N
Published: December 2021

Development research has been carried out to produce teaching materials for basic chemistry learning materials based on STEM in a wetland context to improve scientific literacy that is valid, practical, and effective. This type of research is Research and Development (R & R&D) with a 4D development model modified into 3D (define, design, and develop). The trial of the developed teaching materials was carried out in a class in the first Basic Chemistry course consisting of 28 students. Data collection techniques used validation sheets, readability questionnaires, response questionnaires, observation sheets, and scientific literacy tests. Data analysis used descriptive analysis. The results showed that the developed teaching materials had met the following criteria: (1) Valid; judging from the value of the feasibility aspects of content, presentation, language, and media, each of which obtained very valid criteria. (2) Practical; reviewed from the results of the readability of teaching materials in individual and small group tests, the criteria are practical and very practical. Students’ responses to teaching materials have very practical criteria, and observations of the ability of teachers to use teaching materials and manage their respective classes get very good criteria. (3) Effective, seen from the results of the N-gain scientific literacy showing a high increase. With the results of this development, it can be said that the STEM-based teaching materials for basic chemistry learning to improve scientific literacy in the context of wetlands are suitable as teaching materials.
Development of flipbook e-module problem-based learning (PBL) learning model to increase students’ learning outcomes in oxidation-reduction reaction material
Authors: Leny  , Husna K , Rusmansyah  , Kusasi M , Syahmani  , Zuwida H
Published: December 2021

Research and Development has been carried out to produce a valid, practical and effective e-module flipbook model of Problem-Based Learning (PBL) to improve learning outcomes on redox material. This type of research is Research and Development (R&D) adopting the ADDIE development model. The e-module trial was carried out in Class X MIPA at SMA Negeri 12 Banjarmasin for the 2020/2021 Academic Year. Validation and observation sheets, readability questionnaires, response questionnaires, and learning outcomes tests were occupied to collect the data. In analyzing the data, descriptive analysis was used. The results showed that the developed e-module has met the following criteria: (1) Validity; the value of the content feasibility aspect of 91% (very valid), presentation of 96% (very valid), language of 95% (very valid), and media of 94.5% (very valid). (2) Practicality, seen from the readability results of e-module on individual tests of 3.5 (very good) and small groups of 3.4 (very good), student responses to e-modules of 3.3 (very good), and responses to teacher teaching activities using e-module of 3.7 (very good). (3) Effectiveness, views and learning outcomes of knowledge with an N-gain value of 0.80 (high) and the result of learning attitudes of 83.26 (very good).
The effect of the group investigation-guided inquiry (GI-GI) learning model to improve students’ collaboration and science process skills
Authors: Indrawati  , Mahardika I K , Prihatin J , Supeno  , Astutik S , Sudarti  , Wicaksono I
Published: December 2021

The GI-GI learning model is a combination of the Group Investigation and the Guided Inquiry model. The research aimed to examine the effect of the GI-GI learning model on collaboration and students’ science process skills. The type of research carried out was Quasi-Experimental and used a post-test only control group design and purposive sampling covering four high schools in the Besuki Residency, two classes as the experimental class and the control class. The research instrument used tests, observations, and documentation. The results showed a significant effect of the GI-GI learning model on collaboration and students’ science process skills. This research implies that the GI-GI learning model can condition students to research in groups to interact actively with friends and educators to exchange opinions, knowledge, or experiences, find and solve problems, and hypothesize through investigation, exploration, and discussion outside or inside in class.
PhET-assisted electronic student worksheets of physics (eSWoP) on heat for inquiry learning during covid
Authors: Budi A S , Sari S W , Sanjaya L A , Wibowo F C , Astra I M , Puspa R W , Misbah M , Prahani B K , Pertiwi W A
Published: December 2021

Now, this is referred to as the industrial era 4.0, which is present simultaneously as the era of disruption. Therefore, this study aims to produce Electronic Student Worksheets of Physics (eSWoP) with the help of Sway to use PhET Simulations on physics learning about temperature and heat. This research was conducted using ADDIE (Analyze, Design, Development, Implementation, and Evaluation) research methods. The sample for the application of eSWoP used in the study was 86 students aged 16-18 years from a province in Indonesia. The result of this study is a PhET-assisted eSWoP teaching material that can be used through various electronic devices, using PhET simulations that can help students understand physics subjects at temperature and heat. In the questionnaire given to students, information was obtained that eSWoP media is useful, easy to use and can increase students’ learning motivation. It was suggested that eSWoP technology could be a powerful and effective tool to enable students from the physics lesson into the inquiry process. Moreover, the implications of using eSWoP for teaching physics and recommendations for further studies are also discussed in this study.
Electric Ducted Fan (EDF) Rocket Attitude Telemetry Using 2.4 GHz Radio Frequency
Authors: Alfatih M F , Hancoyo W
Published: December 2021

On a rocket, control requires monitoring to determine its position and attitude. Rocket stance includes roll, pitch, and yaw angles. Monitoring can be done manually without the help of tools while the object’s position is still within reach. It is difficult to carry out monitoring when the object is moving far and beyond the reach of the operator. This observation requires a monitoring system to monitor the object further. This research applies a telemetry system to a target tracking rocket. The measurement results from the IMU and GPS sensors on the rocket body will be processed by the ATMega 2560 microcontroller and sent via a 2.4 GHz RF signal. to Ground Control Station. The rocket telemetry data that has been sent to the GCS can be viewed by the operator through the GUI system in a computer program using the C# language in Visual Studio. Tests on latitude and longitude are carried out by tracking the trajectory of objects while testing for roll, pitch, and yaw angles is carried out by placing objects according to the reference angle. The results of the position obtained the values of altitude, latitude, and longitude of 0.5364 m, 0.000012°, and 0.000023°, respectively. An attitude tests for roll position, pitch, and compass heading have values of 0.35°, 0.07, and 2.90°, respectively. The telemetry data transmission distance test is still well-received at a distance of 200 with a test speed of 70 KM/hour.
RETRACTED: The Application of Innovation Visual Animation Media (VAM) at Electrical in Automotive Vocational Education
Authors: Nurtanto Muhammad , Mutohhari Farid , Rozaq Fadli , Suyitno Suyitno , Masek Alias
Published: December 2021

The purpose of this study is to apply the concept of learning to electricity in the automotive sector based on visual animation media (VAM) as a creative learning product and to assess learning products. One shoot case study was chosen as the research design. A total of 25 participants were involved in the VAM evaluation. Data collection uses product assessment sheets based on creativity, appearance, and product content validity. The results showed that it consisted of three important aspects, namely “mastery” of learning materials, “creative”, and “artistic”. Product creativity as an output is categorized as creative enough, the product display is quite good, and 64% of the products meet the content validity requirements, while 36% do not meet the exact criteria.
Development of Hydraulic Cylinder Excavator Learning Media Based on Augmented Reality with Shapr 3D
Authors: Setiyawan A , Manggalasari L C , Prasetya T A , Towip Towip , Noviansyah W
Published: December 2021

The development process of augmented reality generally requires devices and software with high compatibility so that they are the only obstacles in its development. The purpose of this study was to design and produce an application of learning media on the hydraulic cylinder of excavator based on augmented reality with Shapr3d for prospective students of automotive engineering education and to see the product feasibility level of the test subjects and validators. This learning media development stage consists of five stages: Analysis, Design, Development, Implementation, and Evaluation. For the data method using direct observation and closed questionnaires. The questionnaire of the research results was analysed using Likert scale analysis. The results of the material expert validator with a score of 91.25% are very good category. Expert media design validator 92.5% is included in the very good category with a very proper name. The response to product use from three lecturers of automotive engineering education with a proportion score of 88.34% is in the very good category. The response to the use of the product was from twenty automotive engineering education students with a score proportion of 85.73% in the very good category. This that the application of automatic learning media on excavator hydraulic cylinder based on augmented reality with shapr3d based on Augmented Reality technology that has been developed can be used in elementary schools as a learning media for technical education.
Fuzzy Time Series for Forecasting Railway Passengers in Indonesia
Authors: Rizqon Muhammad Fatih , Jati Handaru
Published: December 2021

Some fuzzy time series models have their own advantages and disadvantages. In addition, these models sometimes are complex and claimed to have better forecasting result than each other. The suitable model for forecasting depends on a wide variety of considerations. The models proposed by Chen (1996) applied simplified arithmetic operations and claimed more efficiency than before. The model proposed by Chen was introduced in 1996 and still exists in several previous studies. This research aims to forecast the number of railway passengers in Indonesia using the fuzzy time series. In addition, this research also evaluates the forecasting results based on mean absolute error (MAE) and mean absolute percentage error (MAPE). The results showed the forecasting results in this research has accuracy for 86.6%.
Internet of Things-based Hydroponic: Literature Review
Authors: Hadinata Alan , Mashoedah
Published: December 2021

Hydroponics is a method of growing crops without using soil, with the benefits of controlling the environment and nutrients, conserving water, and reducing labor. The applied technology is used to improve results that have consistency. This research was conducted with the aim of knowing the IoT devices and platforms used in the development of IoT-based hydroponics. Data obtained from the website garuda.ristekbrin.go.id and www.sciencedirect.com from 2016 to 2021. This study is a literature review using the PRISMA method. This method is used for literature review using a systematic and structured basic framework. The results of this study indicate that the variables measured are Temperature, Potential Hydrogen (pH), Total Dissolve Solid, Water Temperature, Humidity, UV, Carbon Dioxide, Soil Moisture and Electrical Conductivity. The device used is the ESP8266, Arduino, and Raspberry PI with the MySQL, Thingspeak, Firebase, Domoticz, and Wyliodrin IoT Platforms.
Experimental Analysis of Heat Transfer on the Tubular Tube Heater with a Variable of Twisted Tape Inserts and Wire Coil to Prevent the Icing Contaminated Tailplane Stall
Authors: Marausna G , Reza F S , Jayadi F
Published: December 2021

An anti-icing system has the purpose of protecting the leading edge of the tailplane from contamination during aircraft flight. An anti-icing system in a turboprop aircraft employs heaters that use electrical energy as their power source or heat generated by the bleed air. Protecting the tailplane from contamination is preventing the aircraft stall from occurring that triggers dangerous flight conditions. The aluminum prototype tailplane is assembled with a variable of twisted tape insert and wire coil. The twisted tape insert comes in three different geometries with twist ratio T3 = 9.3; T4 = 7; and T5 = 5.6, as well as a wire coil with fixed geometry. This study shows the best heat transfer rate occurs in T3 with a value of 33.90 W. The consequence of this condition is an decrease in pressure drop that occurs. Twisted 3 has the greatest pressure drop when compared to other geometry, with an average value of 4.72 Pa.
The Design of Mini CNC Assembly Simulator Based on Virtual Reality Toolkit (VRTK)
Authors: Malik C A J , Hadi S
Published: December 2021

Information and communication technology development today has provided the latest innovation in didactic world. One of such innovation is the usage of virtual reality (VR) as learning media. The application of virtual reality in learning environment started to be adopted because VR is considered more capable to explain learning material when compared with other learning material. Moreover, learning with VR has the capability for student to learn independently anytime and anywhere. One of VR utilization in learning environment is to use it in a Mini CNC machine assembly simulator. The learning media is meant to be used to improve student skill in assembling a Mini CNC machine independently. This research uses Research and Development method with waterfall model which has several stages which are communication, planning, modelling, construction, and deployment. However, this research only aims up to construction stage, because this research focuses on media functionality test. The media black box research has shown that the media is capable to function as expected.
Utilization of Electronic Waste for Energy-saving Lamp Circuits
Authors: Zamtinah  , Mustaqim I , Pramono HS
Published: December 2021

Indonesia is one of the largest electronic consumer countries in the world. The negative impact unless the increase in the use of electrical energy, there is also an increase in electronic waste or e-waste. If electronic waste (e-waste) is not managed properly, it will cause its own problems, especially environmental health problems. One alternative to overcome these problems is the use of e-waste as a raw material for a series of Waste-Based Energy Saving Lamps, abbreviated as SLHE BBL. This study aims to develop SLHE BBL prototypes base on electric and electronics waste, and test the performance of SLHE BBL prototypes. The SLHE BBL method developed by research and development adapted from Borg & Gall with the following stages: First, needs analysis and product planning; Second: Initial product development, validation and initial product revision. Third: Product development, testing, product revision. Fourth: Finalization dan Dissemination. The research instrument consisted of an observation sheet, luxmeter, voltmeter, ammeter, multimeter, watt meter. The collected data was then analyzed quantitatively and descriptively. The results of the research are as follows: 1) waste that can be recycled into raw materials for SLHE BBL include: resistors, capacitors, LED lights on computer mice or electronic component indicators, used goods casings, adapters, diodes, cables, TV’s control remote; 2) Electrical and mechanical design of SLHE BBL can be assembled into prototype of SLHE BBL; 3) The performance of the SLHE BBL prototype is that the lamp can be adjusted in colour and light intensity; the measured electrical parameters are within the range in accordance with the provisions of electrical standards such as Perasyaratan Umum Instalasi Lstrik (PUIL), International Electrical Commisionin (IEC), or National Electrical Code (NEC)
Performance of Frequency Regulation on Power in the Development of Variable Speed Drive Training Kit as a Learning Media for Motor Control Practices
Authors: Maryadi T H T , Wardhana A S J , Damarwan E S , Sukisno T
Published: December 2021

This study develops a variable speed drive training kit for electric motor control practice media in vocational education. This is research and development with the ADDIE model. The stages of the ADDIE model carried out are Analyze, Design, Development, Implementation, and Evaluation. A Variable Speed Drive (VSD) system consists of two panels, 1) a Variable Speed Drive panel and 2) a control and metering panel. The VSD Training kit module unit using Altivar 71 is a learning medium about electric motor control systems. The VSD Training kit can work well based on trials. The test results of the training kit variable speed drive function test show that at a frequency of 20 Hz, the magnitude of the current in the R, S, and T phases get the lowest value.
Mobile Augmented Reality Application for Component Identification
Authors: Hatmojo Y. I. , Maryadi T. H.T. , Badarudin R. , Indrawati B.
Published: December 2021

This article discusses the development of augmented reality (AR) based object identification applications. The purpose of this study is to improve the distribution station component identification workbook. Through the implementation of the developed application, it is assumed that it will be easier to understand the functionality of the components of the distributing station. The augmented reality application was developed for the android platform. The result showed the application of Distributing Station-AR has been developed by applying a marker-based tracking method. The application test has successfully displayed the three-dimension components of distributing station using a marker on the component identification workbook of distributing station. Product performance is known to be very good and product validation is also very good, including material validation, media validation, and first user responses. For further development, this application is expected to add animation of the working principle of AR-based components.
Development of Electrical Circuit Learning Media Using Virtual Simulation
Authors: Damarwan E S , Hakim M L , Wardhana A S J , Kholis N
Published: December 2021

The Covid-19 pandemic has had a major impact on the world of education. One of the impacts is related to the learning process of electrical circuits. Online lectures make students have difficulty in studying electrical circuit courses. An appropriate learning media is needed as a solution to overcome these problems. This study aims to develop electrical circuit learning media using virtual simulations and determine the feasibility of applying the media. This type of research is research and development with the ADDIE model. The stages of development carried out are Analyze, Design, Development, Implementation, and Evaluation. The research was conducted at the Electrical Engineering Education Study Program, Faculty of Engineering, UNY. The virtual simulation used is a Falstad circuit simulation. This simulation can be accessed online or offline. In this research, the focus is on developing learning media using online Falstad simulation. The results showed that 1) the electric circuit learning media using virtual simulations can run well, 2) based on user trials, the electrical circuit learning media using virtual simulation is classified as very feasible.
The Design of Sensor and Transducer Learning Media based on Augmented Reality
Authors: Hariyanto D , Zamtinah  , Triasih T , Wati M S , Kassymova G K
Published: December 2021

This study aimed at determining the design stage of the augmented reality-based learning media for sensors and transducers course. This study employed the Research and Development method with the ADDIE model with the stages of analysis, design, development, implementation, and evaluation. This article focuses on the design stage during the process of media development. The developed learning media can be used among vocational students by visualizing the sensor and transducer components like in the real laboratory setting. The design of the developed learning media contained application storyboards and animation storyboards for practicing the six sensors. This augmented reality learning media is designed to support online learning and students’ autonomous learning in the practical course of sensors and transducers.
Design of Robust Heart Abnormality Detection System based on Wavelet Denoising Algorithm
Authors: Winursito A , Arifin F , Nasuha A , Priambodo A S , Muslikhin
Published: December 2021

The technology that continues to be developed by many researchers today is an automatic heart attack detection system based on an Electrocardiogram (ECG) signal. Several other studies have been carried out to build an Internet of Things (IoT) based heart abnormality detection system. Based on the analysis of related studies that have been carried out previously, several researchers have developed an ECG signal-based heart abnormality detection system using clean ECG signal data. While the reality of the concept of an IoT-based detection system, the process of recording ECG signal data on the sensor, the process of sending data to the server, and the process of retrieving data from the server are vulnerable to noise exposure. ECG signal containing noise will greatly affect the accuracy of system detection. This paper proposes the development of a noise-resistant heart condition detection system using a wavelet denoising algorithm. The process of denoising ECG signals using the Wavelet algorithm is generally able to improve the accuracy of detecting noisy ECG signals. The most significant increase in accuracy is seen in the low SNR value. The Daubechies 4 (db4) denoising algorithm is the best-performing algorithm. The ECG signal classification method uses the Artificial Neural Network (ANN) algorithm. Detection system hardware is also designed in this research using the concept based on the Internet of Things.
Development of Unmanned Aerial Vehicle (UAV) Fixed-Wing for Monitoring, Mapping and Dropping applications on agricultural land
Authors: Hakim ML , Pratiwi H , Nugraha AC , Yatmono S , Wardhana ASJ , Damarwan ES , Agustianto T , Noperi S
Published: December 2021

UAV technology is used in various fields, namely the military, to strengthen defence, surveillance, dropping logistics. In addition, UAV applications are also used in agriculture. In this study, a fixed-wing UAV will be developed as a monitoring, mapping and dropping process. Several things were carried out in the development process, namely design, manufacturing, installing electronic components, and test flights. The results showed that the vehicle could carry out the mission well. The monitoring process is carried out to review land security. Besides that, it can monitor if there is a fire in agricultural land. In the mapping process, photo data processing taken in the context of the mapping is carried out into an orthophoto map. Meanwhile, in the dropping stage, the aircraft managed to drop a payload weighing 0.5 kg with a distance of 20m from a predetermined centre point. The dropped payload is also equipped with a parachute for increased safety and reduced speed when the payload is dropped.
Analysis of Energy Consumption and Energy Efficiency in Government Office Buildings of Bengkulu, Indonesia
Authors: Rahardjo I A , Djaohar M , Subekti M , Parjiman  , Zakir I , Mahir I , Sakirah  , Lubis A
Published: December 2021

This article aimed to analyze the energy consumption and energy efficiency in government office buildings of Bengkulu, Indonesia. This research was conducted using a quantitative descriptive method. The research step begins by observing the initial conditions of Energy Consumption Intensity (ECI) to determine the category of buildings that are efficient or not in terms of energy use, then collecting data on the profile of the use of the building and its rooms, recapitulation of the use of energy sources (both electrical energy and other chemical energy), a list of equipment that consumes electrical energy (lighting, air conditioning, and others). Furthermore, measuring the performance of systems and equipment that consumes energy and conducting efficiency analysis to then make recommendations with operating settings, to replace inefficient equipment with more efficient equipment. The final step is to draw conclusions about the final Energy Consumption Intensity (ECI) obtained based on the results of the analysis and recommendations obtained on the previous Energy Consumption Intensity (ECI) value. It can be concluded that the final Energy Consumption Intensity (ECI) of government office buildings of Bengkulu based on the results of the analysis and recommendations such as performing preventive maintenance on air conditioners, the temperature of the air conditioner is set to always be at 24°C, replacing the type of lamp in the artificial lighting system that still uses TLD lamps with LED lamps, and efforts in organizing energy management systems will decrease around 13 percent from the previous Energy Consumption Intensity (ECI) or down from 40.9 kWh/m2/year to be 35.6 kWh/m2/year.
Development of Ball Detection System with YOLOv3 in a Humanoid Soccer Robot
Authors: Nugraha A C , Hakim M L , Yatmono S , Khairudin M
Published: December 2021

One of the practical researches of humanoid robots is research on the use of humanoid robots to play soccer. Research in this field is also encouraged by the existence of various humanoid robot soccer competitions. In humanoid robots for soccer, one of the important aspects is the robot’s ability to detect the ball, goal, field boundaries and other players, both friend players and opposing players. This study focuses on the ball detection system which is a basic ability that humanoid robots need to have. The ball detection system developed in this study uses the YOLOv3 method. The test results show that the system built and trained with 3000 image samples can detect balls at a distance of 50 to 900 cm. The time it takes to detect the ball is about 0.033 seconds.
Reliability Design and Simulation of High Density Packaging T/R Module
Authors: Zhao Hailong , Zhang Yu , Ran Honglei , Peng Hao , Zhang Kui , Yin Lijing
Published: December 2021

The requirements, development, packaging characteristics and existing reliability problems of high density packaging T/R modules are introduced, and the importance of reliability design is recognized. Aiming at the reliability problems of Electro Magnetic Compatibility (EMC), heat dissipation and electrostatic discharge, the reliability design and simulation scheme are given, and some cases are provided. Through design analysis and improvement, the reliability of 3D high density packaging T/R modules can be effectively improved.
Research on tomography algorithm of furnace flame temperature field based on acoustic method in thermal power station
Authors: Kan Zhe , Ding Shuqiang , Wang Xiaolei
Published: December 2021

An improved Tikhonov regularization algorithm MCTR based on Markov radial basis function is proposed to obtain the feedback of closed-loop control for pulverized coal injection process in thermal power plant, so as to solve the ill posed problem in temperature field reconstruction in furnace. The algorithm constructs a new regularization matrix to replace the standard Tikhonov regularization element matrix, so as to achieve the correction effect of the new algorithm. MCTR algorithm determines the boundary singular value of small singular value defined in this paper by determining the proportion between the standard deviation component corresponding to small singular value and the sum of standard deviation components corresponding to all singular values after singular value decomposition of coefficient matrix. After determining the boundary, a new regularization matrix is constructed according to the eigenvector corresponding to small singular value. Compared with the MTR algorithm using the identity matrix as the regularization matrix, MCTR algorithm only selectively modifies the parameters corresponding to small singular values after determining the regularization parameters, which improves the stability of the parameter solution and the reconstruction accuracy of the temperature field, and is helpful to the automatic control of thermal power plants and the efficiency of coal combustion.
Power system transient stability assessment based on rough set and deep residual neural network
Authors: Chai Jian , Wang Xihuai , Xiao Jianmei
Published: December 2021

Machine learning algorithms have been widely used in power system transient stability evaluation. The combined application of data analysis and evaluation and neural network provides a new direction for power system transient stability analysis. After the actual power grid is running, there is obviously an imbalance between stable samples and unstable samples. The current deep learning network realizes the power system transient stability assessment method with too many redundant attributes, and the characteristics will inevitably be lost during the data transmission process. This leads to serious problems with the tendency of the training of the data-driven transient stability assessment model. The rough set theory algorithm is introduced to reduce the redundant attributes of power system transient data sets, which simplifies the difficulty of data training. At the same time, as the neural network deepens, the deep residual neural network model has a higher accuracy rate and effectively avoids the “gradient explosion” and “gradient dispersion” problems. Compared with the traditional neural network, it has better Evaluate performance.
Optimization of integrated energy system for combined cooling, heating and power supply of new energy based on energy storage
Authors: Zhang Tieyan , Yang Junbao , Wang Yaru , Li Min , Zhang Dawei , Wang Yuri
Published: December 2021

With the development of science and technology, people also pay more and more attention to the development of new energy. Although there are also many studies on integrated energy systems now, integrated energy systems containing energy storage should also be further studied. This paper proposes an optimization of integrated energy system for combined cooling, heating and power supply of new energy based on energy storage, which analyzes the gas turbine, absorption refrigerating machine, electric refrigerator, photovoltaic power generation units, wind turbine and the work characteristics of the energy storage device. In this paper, an integrated energy system optimization model of new energy cogeneration with energy storage equipment is established. An example shows that the integrated energy system with energy storage can effectively solve the independent decoupling operation relationship among cool, heat and electricity. At the same time, the proposed model can also solve the energy interaction among cool, heat and electricity. In this way, the optimal operation of the integrated energy system can be realized.
Design of meteorological intelligent sensor based on POE Technology
Authors: Liu Qiangjun , Liang Yun , Zhang Junlin , Qi Liangbo
Published: December 2021

An application scheme of Poe based Ethernet technology in meteorological intelligent sensor system is designed. The working principle and implementation method of Ethernet power supply system (POE) based on IEEE802.3af Ethernet power supply industry standard are experimentally analyzed. The power supply part of the meteorological intelligent sensor makes full use of Poe technology to provide current on the network cable transmitting data, which greatly reduces the complexity of the power supply system and improves the reliability of the system power supply design. Through the test of the actual system, the function and performance of the meteorological intelligent transmission system have achieved the expected results.
Sorting path optimization of parallel robot based on improved Genetic Algorithm
Authors: Xia Feize , Sun Yuan , Wang Meng
Published: December 2021

In industrial production, parallel robot is often used for sorting, battery clamp is divided into two structures, the classification and sorting, for multi-target sorting problems. The motion path of end-effector is planned, the overall sorting path is planned, and the practical problem is transformed into a similar traveling salesman problem. The improved genetic algorithm is proposed to optimize the sorting time sequence, and the optimized path shortens 10.23% total distance on average compared with random sorting and 5.37% total distance compared with fixed longitudinal sorting. The shortening of the total distance can lead to higher sorting efficiency in sorting and increase productivity.
Research on voltage stability and control strategy of power system considering grid connected charging of electric vehicles
Authors: Fang Weidong , Lv Hao , Jiang Yiting , Li Lingzhi
Published: December 2021

The development of new energy vehicles is an important measure to deal with the growing energy demand and climate change. Especially in recent years, with the support of national policies and the maturity of electric vehicles(EVs) related technologies, the number of EVs has increased explosively, and the situation is very good. However, it also means that a large number of charging loads will be connected to the power grid, which will put great pressure on the safe and stable operation of the power grid. Although there have been many studies on the impact of EVs integration into modern power grid, most of the EVs load models are based on probability function and lack accuracy. Therefore, starting with the actual operation data of EVs charging station, this paper studies the influence of a large number of EVs charging loads on the static voltage stability of power grid. It is found that the charging load of large-scale EVs is added to the power grid, which significantly reduces the stability of power grid voltage, especially at the place connected to the EVs load and far away from the balance node. In addition, when the charging station adopts the time-of-use(TOU) price strategy, it can effectively improve the voltage stability of the whole network.
Design of the Power System and Remote Control System for the Unmanned Ship
Authors: Zhang Hao , Zhang Zeyu
Published: December 2021

In lakes and reservoirs with high environmental protection requirements, it is necessary to adopt pure electric intelligent water quality monitoring ships, adopt pure electric power systems and intelligent remote control systems. This article specifically completed the design of the power system and remote control system of the smart ship, and elaborated the design method in detail. The system has the characteristics of high reliability, miniaturization, and modularization. The successful development of the system has greatly improved the intelligence of water quality monitoring ships, and has a positive effect on small intelligent ships in lakes and reservoirs.
Research and Application of Automatic Measurement of Resistance Value Based on a Thermal Control Device
Authors: Feng Tao , Huang Lei , Guo Mingyu , Xu Zhen , Fu Guanghui , Yu Yue
Published: December 2021

The resistance measurement system of thermal control device is mainly composed of four parts: fixture, interface circuit board, switches module and data acquisition system. The main contents of the system design are as follows: To make the system realize the automatic resistance measurement function of thermocouple, heating belt and heating plate, and improves the measurement speed and robustness of the software; To achieve the friendliness of human-machine interface;

At room temperature, it can collect 40 output voltage signals of thermocouple, and judge whether the temperature collection of thermocouple is accurate or not.
Research on Key Technology of Tile T/R Module Design
Authors: Zhang Yu , Zhao Hailong , Song Xuefeng , Li Zenglu
Published: December 2021

Tile T/R module has the characteristics of miniaturization, lightweight, high integration and high performance, which are very difficult to develop. This paper studies the key technologies involved in the development of T/R module, and focuses on the key technologies such as high integrated multifunction chip technology, high performance Radio Frequency (RF) 3D interconnection technology, high integrated multichannel RF design technology and thermal design technology. Through research and analysis, a design scheme of tile T/R module with miniaturization, high performance and high reliability is proposed.
Orderly grid-connected cooperative scheduling control strategy based on distributed energy storage for electric vehicles
Authors: Li Xiaomei , Cao Rong , Hao Wenbo , Xu Mingyu , Hu Heng , Jiang Peng , Zhou Feng
Published: December 2021

Aiming at the problem that large-scale disorderly grid connection of electric vehicles negatively affects grid operation and causes a large amount of abandoned wind and abandoned light, an orderly grid connection cooperative scheduling control strategy based on distributed energy storage of electric vehicles is proposed. The strategy takes the charging and discharging price as the lever to guide the users to charge and discharge in an orderly manner, takes the optimal economics on the user side and the optimal cost of power generation on the grid side as the objective function, and uses linear weighting normalization to convert the multi-objective function into a single objective function for simulation solution. The simulation results show that the effect of peak shaving and valley filling can be achieved on the basis of satisfying users’ demand, and renewable energy can be effectively consumed.
Single-ended fault location and early warning method of transmission line based on back propagation neural network
Authors: Zhou Han , Liu Minghui , Yu Xin , Wang Weiyang , Gao Jingyao
Published: December 2021

For power transmission systems, accurate and reliable fault location methods can ensure rapid recovery of faulty lines and improve power supply reliability. In order to solve the problems of the structural complexity of the transmission system and the difficulty of line fault location, a single-ended fault location and early warning method of transmission line based on back propagation neural network is proposed. First, the fault line selection is performed quickly when the fault occurs. Then, the voltage fault components collected at the measuring point when the fault occurs are decomposed and reconstructed by wavelet packet to obtain the wavelet packet energy, which is used as the input sample to train through the nonlinear fitting ability of back propagation. With the help of backpropagation neural network, arbitrary complex functions can be processed, and the learning results can be accurately used for new knowledge, and circuit faults can be diagnosed conveniently and quickly. Finally, the corresponding fault distance can be output by substituting the wavelet packet energy reflecting the fault location. The simulation results show that the method has strong resistance to transition resistance and high positioning accuracy.