Reviewerly/exHarmony huggingface dataset:
Preface

MEAE is an annual research conference aiming to provide a platform for engineers and scientists to present their ideas and experiences in the fields of Mechanical Engineering and Aerospace Engineering. 2022 8th Asia Conference on Mechanical Engineering and Aerospace Engineering (MEAE 2022) was held on June 9-11, 2022. It was organized by China University of Geosciences (Wuhan) and hosted by School of Mechanical Engineering and Electronic Information of CUG (Wuhan). This year, MEAE organizing committee held the conference as remote meeting due to the instability of COVID-19. MEAE used ZOOM as the platform holding online conference. The conference was held virtually for 3 days. The test session on the first day was arranged to help authors learn some ZOOM basic functions. After ZOOM basic functions test, most of participants managed to use ZOOM smoothly. Keynote / Invited speeches and author parallel sessions were on the following two days. Presenters made their presentations on the topics of Materials and Mechanical Engineering, Industrial Manufacturing Systems and Control Technology, Mechanical and Electronic Technology and so on. Every presentation was about 15 minutes including 2-3 minutes for Q&amp;A part. Though the authors and speakers couldn’t communicate face to face, the passion for involvement wasn’t affected. The proceedings present a selection from papers submitted to the conference from universities, research institutes and industries. All the papers were double-blind reviewed. 28 papers were accepted from 63 submissions to be collected in the conference proceedings-Journal of Physics: Conference Series. Here we would like to thank all the technical program committee members who made great efforts on paper reviewing. The appreciation also goes to other conference committee members, keynote/invited speakers, session chairs and all the authors, thanks for their understanding, support and efforts. Without their help, MEAE couldn’t be held successfully. Hope all the participants had wonderful time during conference and got fruitful inspirations from the presentations delivered by speakers and authors. Hope to see you next year onsite! List of Committees, Statement of Peer Review are available in this pdf.
Design and Testing of Integrated 4F System into Silicon Photonics Chip for Convolutional Neural Network

We present our implementation of a 4F system integrated into a single Silicon Photonic chip to perform the high-speed Convolutional Neural Network by using optical on-chip FFT. We show the Silicon Photonic design, the initial optical response, and the packaging of the 4F chip.
Utilization of the Wattpad Application to Improve Short Story Writing Skills for Students

The lack of interest in writing among students causes a lack of short story writing skills. The researcher uses a method in the form of library research (library research) with research data sourced from secondary data that is relevant to the topic of discussion regarding students, short story writing skills, and the Wattpad application. The research procedure uses opinions according to Tahmidaten Krismanto (2020) regarding the literature study research process in data collection. The conclusion is that the Wattpad application plays an important role as a supporting medium to improve students' abilities and creativity in writing works in the form of short stories.
Blockchain Technology as Authenticated System for Smart Universities

Many industries and universities are interested in blockchain technology, which is a growing field of interest. The Digital Data Storage System (DDS) consists of many servers (multi-server). Blockchain technology allows data to be copied and authenticated across servers. Many people believe that blockchain is only used for cryptocurrencies, but that's not entirely correct. Bitcoin, one of the most well-known cryptocurrencies, heavily relies on the technology. However, in reality, the use of blockchain is not limited to cryptocurrencies. One way that blockchain technology can be used is for data processing in universities. In this study, the author looks at how it can be used to improve student records, document transactions, and more.The research method used in this study is the "literature review" method.
Learning Multi-Agent Action Coordination via Electing First-Move Agent

Learning to coordinate actions among agents is essential in complicated multi-agent systems. Prior works are constrained mainly by the assumption that all agents act simultaneously, and asynchronous action coordination between agents is rarely considered. This paper introduces a bi-level multi-agent decision hierarchy for coordinated behavior planning. We propose a novel election mechanism in which we adopt a graph convolutional network to model the interaction among agents and elect a first-move agent for asynchronous guidance. We also propose a dynamically weighted mixing network to effectively reduce the misestimation of the value function during training. This work is the first to explicitly model the asynchronous multi-agent action coordination, and this explicitness enables to choose the optimal first-move agent. The results on Cooperative Navigation and Google Football demonstrate that the proposed algorithm can achieve superior performance in cooperative environments. Our code is available at https://github.com/Amanda-1997/EFA-DWM.
Detection of objects geometries and colors using MATLAB

Object detection is very interesting in most industrial applications and robots, also the color detection of these objects is important. The real challenge is how to develop the algorithms used in image processing to recognize objects and their colors. This work presents a new algorithm of digital image processing (DIP) for the recognition of the dimensional shape of the objects such as circles, squares, rectangles, and triangles. MATLAB Graphical User Interface (GUI) program was used to detect the color and geometry of the objects. The bounding box method was used to recognize the geometry shape of the objects. This work presents the test of three colors of objects (red, green, and blue) and detects the object color using the image processing algorithm. The results indicated the accuracy and effectiveness of the image processing algorithm used to determine the color and geometry shape of the objects, where it was found that the effectiveness of the proposed image processing algorithm is 98.33%.
Efektivitas Media Flashcard Terhadap Keterampilan Menulis Kosakata Bahasa Inggris Siswa Sekolah Dasar

English writing skill in elementary schools show a lot of errors. Flashcard is used to improve English vocabulary writing skill. This study aims to determine the effectiveness of flashcard on English vocabulary writing skill of elementary school students. The study was conducted with a pre-experimental design type one group pretest - posttest design. The participants were third grade students, totaling 21 people. The data collection instrument was an English test. The study used pre-test and post-test. The data was processed by Paired t-test. It showed an increase in English test scores. English vocabulary writing errors decreased after the use of flashcard media. The results showed that flashcard media was effective in improving English vocabulary writing skills for elementary school students.
Improving Students’ Speaking Performance By Using Autoplay Media At Smas Darul Hikmah Mataram

This research was aimed to describe the use of Auto-play Media to Improve Students’ Speaking Performance at SMAS Darul Hikmah Mataram. This research was classroom action research and focused on improving of the students’ speaking performance by using Auto-play Media. This research consisted of one cycle including all aspects of classroom action research model such as: planning, acting, observing, and reflecting. In this research, the researcher took the XI IPS of SMAS Darul Hikmah Mataram. The instrument that used by the researcher in this study were test, observation and recording to measure the students speaking performance in deep analysis model. Based on the result of data analysis, the mean score of students’ achievement during the primary observation was 45.05, meanwhile on pre-test and the percentage was merely 21.05% and post-test showed the students speaking performance increased into 79.36, with percentage score was 78.94%. Therefore, the researcher concluded that the score of the students’ speaking performance was increased after treated using auto-play and it was higher than minimum Complete Criteria Success (KKM), in which the KKM of SMAS Darul Hikmah Mataram was 75. Therefore, it could be underlined that this research was successfully in increasing the students’ speaking performance especially at SMAS Darul Hikmah Mataram
Performance Analysis of Deep Learning YOLO models for South Asian Regional Vehicle Recognition

For years, humans have pondered the possibility of combining human and machine intelligence.The purpose of this research is to recognize vehicles from various media and while there are multiple models associated with this, there has not been enough testing and training of models when it comes to vehicle datasets that originate from countries like Bangladesh, India, etc.Our focus was to assimilate the largest dataset of vehicles exclusive to South Asia in addition to the more common universal vehicles and apply it to track and recognize these vehicles, even in motion.To develop this, we increased the class variations and quantity of the data.We trained different versions of the YOLOv5 model with our dataset to properly measure the degree of accuracy between the models in detecting the more unique vehicles.If vehicle detection and tracking are adopted and implemented in live traffic camera feeds, the information can be used to create smart traffic systems that can regulate congestion and routing by identifying and separating fast and slow-moving vehicles on the road.The comparison between the three different YOLOv5 models led to an analysis that indicates that the large variant of the YOLOv5 architecture outperforms the rest.
Motivation, Microdrives and Microgoals in Mockingbird

This paper is a work-in-progress report about Mockingbird, an intelligent musical agent (IMA) based on Sun's Clarion cognitive architecture (Sun 2003). In the first part we present the Clarion architecture and the manner in which its Motivation Subsystem models drive states and goals. In the second part we propose a potential structure for modeling fine-grained secondary drives in the context of a free improvisational performance.
Analysis of Packed Red Cell (PCR) storage time against changes in routine blood values in the blood donor unit of Indonesian Red Cross Society Medan City

Background: Unit for Blood Donors, The Indonesian Red Cross Society of Medan City has established a two-day maximum storage period for PRC that has been processed from Whole Blood (WB). The quality of the blood is affected by how long the PCR is stored. Objective: To analyze the effect of Packed Red Cell (PRC) storage time on changes in routine blood values. Method: This type of research is a quantitative analytical study with comparative numerical more than two groups to analyze the storage time of PRC blood on changes in routine blood values. Result: 40 study participants participated in the investigation. Leukocytes, hemoglobin, and haematocrit were the measured parameters. The value of the erythrocyte decreases with storage time. The value of the erythrocytes was lower when compared to the storage of erythrocytes on day 11 than it was on day 1 of storage. When the hemoglobin examination findings have a p-value of less than 0.05, this means that the haemoglobin against PRC storage on day 1 and day 1 differ significantly. If the storage time is prolonged, the haemoglobin value will rise. P-value 0.05 for the findings of the analysis of haematocrit levels shows a significant difference between PRC storage on days 1 through day 11 and haematocrit, with the haematocrit value rising as storage duration increases. Conclusion: Haemoglobin and haematocrit levels, there was a significant increase in changes and erythrocytes during the eleven-day storage process, a significant decrease but still within normal limits
Spatial Attention Adapted to a LSTM Architecture with Frame Selection for Human Action Recognition in Videos

Action recognition in videos is currently a topic of interest in the area of computer vision, due to potential applications such as: multimedia indexing, surveillance in public spaces, among others. In this work we propose an attention mechanism adapted to a CNN–LSTM base architecture. To carry out the training and testing phases, we used the HMDB-51 and UCF-101 datasets. We evaluate the performance of our system using accuracy as the evaluation metric, obtaining 57.3% and 90.4% for HMDB-51 and UCF-101 respectively.
Analisis Iklan Jaminan Saldo Kembali dari Gopay Dalam Perpektif Teori Design Thinking

Improvement of technology is opening an oppurtunity for advertising to display the advertisement in many media. Now the company faces many form of media that can be used as advertising media. One of the media with a positive feedback for advertising media is streaming platform, for exempelr there is Youtube. Recently, GoPay as digital wallet service from GoJek company published an advertisment that have different look, it use two dimension animation format. Rubber Hose is the stlye that represent the style of animation in year 1930s used for the GoPay advertisement this time. This paper will be critisize and analyze based on design thinking theory by Tim Brown that consist of three phase, there are inspiration, ideation, and implementation about an advertisment that tittled “Jaminan Saldo Kembali dari Gopay”.
Pemanfaatan Big Data dalam Bisnis E-commerce OLX

&#x0D; &#x0D; &#x0D; &#x0D; Basically, the emergence of online sales sites is a positive impact on the development of information technology. Not a few online markets selling similar goods and services. However, there are many considerations between consumers in sorting and choosing what goods they will buy as well as the inventory of goods displayed on the online market. Every online marketplace must compete to increase its sales profit by researching the data entered on the account sites used by consumers. The type of research used is quantitative research. By utilizing advances in technology, the use of data mining is an efficient way to retrieve and collect the required data. Data mining, often also called knowledge discovery in database (KDD), is an activity that includes collecting, using historical data to find regularities, patterns, or relationships in large data sets. The output of this data mining can be used to improve decision-making in the future. So the term pattern recognition is now rarely used because it is part of data mining. Observations are carried out directly on the olx.co.id web by visiting the site, then documenting the site by printing a screen to be able to take pictures of the website display in other words we can compare one product with other products and see how many products there are. sold out. In this study, researchers also explain the flow of product orders using OLX e-commerce. E-commerce platforms also allow businesses to gather a wealth of statistics about how many customers come to their website, how they choose or compare alternatives, and what the logic is in each buying situation.&#x0D; &#x0D; &#x0D; &#x0D;
Investigate the Effectiveness of R 130 refrigerant on the Heat Exchanger by using Automobile Application

Combustion excess heat is widely used, mostly for comfortable warming as well as defogging screens in automobile seat compartments.Yet, as engine power improves, the quantity of excess energy available for such applications diminishes.Those specifications could also be met using an automobile smart thermostat.The research describes the design parameters of an innovative automobile pumping system powered by a cylinder and utilising an R130a dehumidification circuit.This same automobile heat exchanger can provide an inculcated airflow besides removing heat from all 3 sources: environmental noise, air, and motor refrigerant, but instead of incomplete combustion.The normal and emergency efficiency of an automobile Kalina Cycle for every temperature difference is examined using investigational device power and entropy generation analyses.The overall efficiency of an automobile Kalina cycle with four radiation sources as well as the standard water heater was therefore compared.When contrasted to an automobile Combined Cycle power plant utilising varying heat resources in addition to the benchmark heater, the automobile fuel system utilising motor fluid supplied a maximum interior coil output maximum temperature used during testing again until a fairly constant became established.
Possible Gamification Learning for Optimizing Student Learning Motivation?

With low student learning motivation, a teacher must be creative so that students can have a more optimal learning motivation than before. One way to optimize student motivation is to use Gamification Learning. Gamification is a process that aims to change non-game contexts, one of which is in teaching and learning activities to be more attractive by integrating game mechanics, aesthetics, and thinking to motivate students in the learning process. Gamification includes game design elements, including points, scoreboards, badges, and challenges. This study uses a literature review research method that collects data from journals, books, and several other scientific sources relevant to this research topic. The results obtained are Gamification Learning can optimize students learning motivation.
Static Web App Configuration

We did it! At the end of the last chapter, we have an application that we could deploy and let our users see the content that we are creating. Sure, we need to style it to suit our personal tastes, but all our content is there. But we still have a problem with making it nice to use. One big problem is that when users refresh their page anywhere except for the index, they get a 404 error. Not wonderful.
Non-Reciprocal Amplification of Light Using Cold Atoms Coupled to an Optical Nanofiber

Optical nanofibers realized as the waist of tapered silica fibers can be used to trap and optically interface laser-cooled atoms. Building on this system, we experimentally show a novel scheme for the nonreciprocal Raman amplification of light. While typically either the magneto-optical effect, a temporal modulation or an optical nonlinearity is employed to break reciprocity, in our approach, this results from the spin of the atoms forming the gain medium. By taking advantage of the inherent spin-momentum locking present in optical nanofibers, we perform an experiment in which we set the amplification direction by a suitable preparation of the atomic spin state. Our approach is general and, suitable quantum emitters provided, could also be implemented beyond the optical domain of the electromagnetic spectrum.
Applicability limitations of differentiable full-reference image quality metrics

Subjective image-quality measurement plays a critical role in the development of image-processing applications. The purpose of a visual-quality metric is to approximate the results of subjective assessment. In this regard, more and more metrics are under development, but little research has considered their limitations. This paper addresses that deficiency: we show how image preprocessing before compression can artificially increase the quality scores provided by the popular metrics DISTS, LPIPS, HaarPSI, and VIF as well as how these scores are inconsistent with subjective-quality scores. We propose a series of neural-network preprocessing models that increase DISTS by up to 34.5%, LPIPS by up to 36.8%, VIF by up to 98.0%, and HaarPSI by up to 22.6% in the case of JPEG-compressed images. A subjective comparison of preprocessed images showed that for most of the metrics we examined, visual quality drops or stays unchanged, limiting the applicability of these metrics.
STUDI REDUKSI BANJIR DENGAN KOLAM RETENSI PADA SUNGAI-SUNGAI PARALEL

Flood in Ujungberung region occurs when rainy season. The location of the Ujungberung region is in the Bandung basin area from the upstream river originating at the Mount Manglayang. The impact of floods that occur is disrupting the drainage flow, settlement, traffic and economic land use such as markets, and agriculture in the region. The government has made some prevention efforts by constructing three Retention Basin on the Cinambo River, Cipamulihan River, and Cilameta River. There isn’t analysis on how much the optimal reduction in flood discharge and reservoir volume. In this study using a quantitative approach and descriptive method. Retanding basin analysis is based on the 25-years hydrological flood discharge using the Snyder method HEC-HMS v4.3 software. From the results of the Retention Basin modeling, it was found that in the Cinambo River with the initial discharge of Q25 is 37.70 m3/sec become 11.10 m3/sec can be reduced by 70.56 % with an optimal storage volume of 143,300 m3, in the Cipamulihan River with the initial discharge of Q25 is 19.20 m3/sec become 8.10 m3/sec can be reduced by 57.81 % with an optimal storage volume of 143,300 m3, and in the Cilameta River with the initial discharge of Q25 is 13.40 m3/sec become 9.3 m3/sec can be reduced by 30.60% with an optimal storage volume of 23,100 m3. If the Retention Basin planned to be carried out with an optimal storage volume, it must be adjusted to the available retention land area and with a required dimension.
Optimal Design for an On-Wall Mounted Loudspeaker

The increased number of Internet services and the exposure of the personal information to the public network, create a problem with the privacy of the personal data. This problem is extremely impactful in the healthcare systems where the sensitive medical data circulate in the network. The emerging Blockchain technologies offer properties and tools for better personal data access management. The integration of the Blockchain technologies into the healthcare systems can provide better data privacy. However, beside the attractive properties, the current Blockchain technologies cannot achieve sufficient scalability to serve a global public healthcare system and cannot provide compatibility with the GDPR and HIPAA regulations. To overcome these limitations, this paper introduces new deducted Blockchain-based public healthcare system, the BloHeS, with main focus on several functional entities, such as optimal consensus mechanism, better storage organization, improved network organization and compatibility with GDPR and HIPAA regulations. It also defines a procedure for patient-centric data access management, protocols for Island management and new block structure.