Pub Date : 2021-11-23DOI: 10.1109/ICRAMET53537.2021.9650488
Dedi, Ghozi F. Rahman, Manty A. Ikaningsih, A. Septiani, N. Sudrajat, Muhamad Abdul Jabaris
This work used powder metallurgy to fabricate a Neodymium Iron Boron magnet from neodymium, iron, and boron powders. This study aims to determine how compaction pressure affects the magnetic characteristics and phase structure of Nd12 Fe14 B. Sintering samples are airtight and resistant to oxidation by the surrounding environment due to the vacuum sealing process. Under compaction pressures of 40 MPa, the maximum hardness of the Nd12 Fe14 B magnet was 741.99 micro Vickers Hardness, with the maximum coercivity (Hc) of 386 kOe. On the other hand, a compaction pressure of 30 MPa resulted in a maximum remanence induction (Br) of 0.33 T. However, porosity remains obvious in the microstructure data, affecting the hardness and magnetic properties of Nd12 Fe14 B magnets.
{"title":"Effect of Compaction Pressure on Microstructure and Magnetic Properties of Nd2Fe14B Alloys by Powder Metallurgy Process","authors":"Dedi, Ghozi F. Rahman, Manty A. Ikaningsih, A. Septiani, N. Sudrajat, Muhamad Abdul Jabaris","doi":"10.1109/ICRAMET53537.2021.9650488","DOIUrl":"https://doi.org/10.1109/ICRAMET53537.2021.9650488","url":null,"abstract":"This work used powder metallurgy to fabricate a Neodymium Iron Boron magnet from neodymium, iron, and boron powders. This study aims to determine how compaction pressure affects the magnetic characteristics and phase structure of Nd12 Fe14 B. Sintering samples are airtight and resistant to oxidation by the surrounding environment due to the vacuum sealing process. Under compaction pressures of 40 MPa, the maximum hardness of the Nd12 Fe14 B magnet was 741.99 micro Vickers Hardness, with the maximum coercivity (Hc) of 386 kOe. On the other hand, a compaction pressure of 30 MPa resulted in a maximum remanence induction (Br) of 0.33 T. However, porosity remains obvious in the microstructure data, affecting the hardness and magnetic properties of Nd12 Fe14 B magnets.","PeriodicalId":269759,"journal":{"name":"2021 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128290730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-23DOI: 10.1109/ICRAMET53537.2021.9650497
A. Awaludin, R. Sunarya, Didi Satiadi, H. L. Wiraswati, S. Ekawardhani, L. Faridah
The world has been hit by coronavirus pandemic for around two years. Early detection of infection by SARS CoV-2 relies on the efficient detection using Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) which require a viral genome extraction machine. An extraction machine for the nucleic acid has been designed and fabricated in this research. It utilizes magnetic rods and carousel driven by linear and rotary actuator as the main component to do each step of extraction procedure. It is equipped with a minicomputer and Liquid Crystal Display (LCD) touchscreen as an interface with user to make setting and running the machine. The machine has been tested to simulate each extraction process without viral genome sample comprises lysis, two times washing, holding and elution as designed. It was running well to rotate the carousel to the exact position for each extraction step, move the tip comb and magnetic rods appropriately to the sample plate holes, and move the tip comb up and down to mix the solution exactly on the sample plate for each extraction process. Next, the machine performance will be tested to do viral genome extraction in BSL Laboratory Class 2.
{"title":"Development of Viral Genome Extraction Machine","authors":"A. Awaludin, R. Sunarya, Didi Satiadi, H. L. Wiraswati, S. Ekawardhani, L. Faridah","doi":"10.1109/ICRAMET53537.2021.9650497","DOIUrl":"https://doi.org/10.1109/ICRAMET53537.2021.9650497","url":null,"abstract":"The world has been hit by coronavirus pandemic for around two years. Early detection of infection by SARS CoV-2 relies on the efficient detection using Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) which require a viral genome extraction machine. An extraction machine for the nucleic acid has been designed and fabricated in this research. It utilizes magnetic rods and carousel driven by linear and rotary actuator as the main component to do each step of extraction procedure. It is equipped with a minicomputer and Liquid Crystal Display (LCD) touchscreen as an interface with user to make setting and running the machine. The machine has been tested to simulate each extraction process without viral genome sample comprises lysis, two times washing, holding and elution as designed. It was running well to rotate the carousel to the exact position for each extraction step, move the tip comb and magnetic rods appropriately to the sample plate holes, and move the tip comb up and down to mix the solution exactly on the sample plate for each extraction process. Next, the machine performance will be tested to do viral genome extraction in BSL Laboratory Class 2.","PeriodicalId":269759,"journal":{"name":"2021 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129373970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-23DOI: 10.1109/ICRAMET53537.2021.9650473
Arief Suryadi Satyawan, Samratul Fuady, A. Mitayani, Yessi Wulan Sari
Research on autonomous vehicle is growing rapidly in recent years. Its ability to navigate without solely depending on a driver enables various applications from daily transportation to high risk expedition. In the navigation system of autonomous vehicle, pedestrian detection plays a fundamental role to avoid accident causing human fatalities. In this paper, we propose a pedestrian detection system using the Histogram of Oriented Gradient (HOG) and Support Vector Machine (SVM). This system is designed for use in limited campus area i.e. roads connecting campus buildings. We collected 2000 image samples of roads with or without people passing by. We used 90% of those samples for training the model, while another 10% was used for testing. The model is able to distinguish the number of people on the road in the field of view from zero to four people with the accuracy of 98.00%.
{"title":"HOG Based Pedestrian Detection System for Autonomous Vehicle Operated in Limited Area","authors":"Arief Suryadi Satyawan, Samratul Fuady, A. Mitayani, Yessi Wulan Sari","doi":"10.1109/ICRAMET53537.2021.9650473","DOIUrl":"https://doi.org/10.1109/ICRAMET53537.2021.9650473","url":null,"abstract":"Research on autonomous vehicle is growing rapidly in recent years. Its ability to navigate without solely depending on a driver enables various applications from daily transportation to high risk expedition. In the navigation system of autonomous vehicle, pedestrian detection plays a fundamental role to avoid accident causing human fatalities. In this paper, we propose a pedestrian detection system using the Histogram of Oriented Gradient (HOG) and Support Vector Machine (SVM). This system is designed for use in limited campus area i.e. roads connecting campus buildings. We collected 2000 image samples of roads with or without people passing by. We used 90% of those samples for training the model, while another 10% was used for testing. The model is able to distinguish the number of people on the road in the field of view from zero to four people with the accuracy of 98.00%.","PeriodicalId":269759,"journal":{"name":"2021 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129794449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：