scholarly journals Mitigating the Risk of Cascading Blackouts: A Data Inference Based Maintenance Method

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 39197-39207 ◽  
Author(s):  
Feng Liu ◽  
Jinpeng Guo ◽  
Xuemin Zhang ◽  
Yunhe Hou ◽  
Shengwei Mei
Keyword(s):  
Cascading Blackouts ◽  
Data Inference

Efficient downscaling of satellite oceanographic data with convolutional neural networks

2021 ◽  
Vol 12 (3) ◽  
pp. 46-47
Author(s):  
Nikita Saxena
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Convolutional Neural Networks ◽  
Super Resolution ◽  
Sea Surface ◽  
Clear Sky ◽  
Oceanographic Data ◽  
Computationally Expensive ◽  
Sky Conditions ◽  
Data Inference

Space-borne satellite radiometers measure Sea Surface Temperature (SST), which is pivotal to studies of air-sea interactions and ocean features. Under clear sky conditions, high resolution measurements are obtainable. But under cloudy conditions, data analysis is constrained to the available low resolution measurements. We assess the efficiency of Deep Learning (DL) architectures, particularly Convolutional Neural Networks (CNN) to downscale oceanographic data from low spatial resolution (SR) to high SR. With a focus on SST Fields of Bay of Bengal, this study proves that Very Deep Super Resolution CNN can successfully reconstruct SST observations from 15 km SR to 5km SR, and 5km SR to 1km SR. This outcome calls attention to the significance of DL models explicitly trained for the reconstruction of high SR SST fields by using low SR data. Inference on DL models can act as a substitute to the existing computationally expensive downscaling technique: Dynamical Downsampling. The complete code is available on this Github Repository.

scholarly journals KEMAMPUAN MENULIS PUISI BERTEMA SUNGAI DENGANMETODE KARYA WISATA SISWA KELAS XMADRASAH ALIYAH MUHAMMADIYAH BANJARMASIN(ABILITY TO WRITE POETRY THEME RIVER USING WORKS METHOD THE CLASS X STUDENT MADRASAH ALIYAH MUHAMMADIYAH BANJARMASIN)

2020 ◽  
Vol 10 (2) ◽  
pp. 219
Author(s):  
Zulkifli Rusma Noortyani Gusti Putri Pathiya Arsyana
Keyword(s):  
Student Activities ◽  
Writing Ability ◽  
Final Grade ◽  
Analysis Techniques ◽  
Data Object ◽  
A Value ◽  
Field Note ◽  
The Subject ◽  
Data Inference ◽  
Bahasa Indonesia

AbstractAbility to Write Poetry Theme River using Works Method the Class X StudentMadrasah Aliyah Muhammadiyah Banjarmasin. The objectives to be obtainedfrom the results of this study are to describe the ability to write a river-themedpoem with the method of class X students of the Islamic MuhammadiyahMuhammadiyah Banjarmasin. To achieve these objectives, researchers usequalitative methods with data collection techniques with observation techniquesto provide an overview of how to teach teachers and student activities during thelearning process. This technique is also equipped with a field note format to obtaindata by observing the data object directly. Data analysis techniques usinginteractive model analysis were carried out starting from the stages of datacollection, data reduction, data presentation, data inference, and data verification(Miles and Huberman, 1984). This method is very appropriate to be used in thisstudy because it examines the subject and is carried out on learning. The resultsof the assessment are a collaboration of teachers and researchers using anassessment rubric based on elements and writing conventions with a value of 95.8.The Indonesian KKM score at the MA Muhammadiyah Banjarmasin is 70.Students who can write poetry are 92% or as many as 23 students who score aboveor equal to the KKM of Indonesian Language Subjects or above 70. That means23 students have a category able and there are 2 students or as much as 8% ofstudents who have a category of poor with a final grade below 70. elements orcontent of river-themed poetry contains the environment where students writepoetry found in environmental poetry teaches to love the environment more, alsocontains innuendos to those who often ignore it.Keywords: writing ability, travel tour method AbstrakKemampuan Menulis Puisi bertema Sungai dengan Metode Karya WisataSiswa Kelas X Madrasah Aliyah Muhammadiyah Banjarmasin. Tujuan yangakan diperoleh dari hasil penelitian ini adalahmendeskripsikan kemampuanmenulis puisi bertema sungai dengan metode karya wisata siswa kelas XMadrasah Aliyah Muhammadiyah Banjarmasin.Untuk mencapai tujuan ini,peneliti menggunakan metode kualitatif denganteknik pengumpulan data denganteknik observasi untuk memberikan gambaran umum tentang cara mengajar gurudan aktivitas siswa selama proses pembelajaran. Teknik ini juga dilengkapidengan format catatan lapangan untuk mendapatkan data dengan mengamatiobjek data secara langsung.Teknik analisis data menggunakan analisis modelinteraktif dilakukan mulai dari tahap pengumpulan data, reduksi data, penyajiandata, inferensi data, dan verifikasi data (Miles dan Huberman, 1984).Metode inisangat tepat untuk digunakan dalam penelitian ini karena meneliti subjek dandilakukan pada pembelajaran. Hasil penilaian merupakan kolaborasi dari gurudan peneliti dengan menggunakan rubrik penilaian berdasarkan elemen dankonvensi penulisan dengan nilai 95,8. Nilai KKM Bahasa Indonesia di MAMuhammadiyah Banjarmasin adalah 70. Siswa yang mampu menulis puisiterdapat 92% atau sebanyak 23 siswa yang memperoleh nilai di atas atau samadengan KKM Mata Pelajaran Bahasa Indonesia atau di atas nilai 70. Itu artinyaada 23 siswa memiliki kategori mampu dan ada 2 siswa atau sebanyak 8% siswayang memiliki kategori tidak mampu dengan nilai akhir di bawah 70. Elemen ataukonten puisi bertema sungai berisi keadaan lingkungan tempat siswa menulispuisi yangditemukan dalam puisi lingkungan mengajarkan untuk lebih mencintailingkungan, juga berisi sindiran-sindiran kepada pihak-pihak yang seringmengabaikannya.Kata-kata kunci:kemampuan menulis, metode karya wisata

scholarly journals POTENSI KEARIFAN LOKAL TAMBI UMA SUKU ENDE SEBAGAI SUMBER BELAJAR BIOLOGI DAN PENDIDIKAN KARAKTER

2021 ◽  
Vol 12 (1) ◽  
pp. 45
Author(s):  
Maria Waldetrudis Lidi ◽  
Maimunah H Daud ◽  
Morison Yosep M. Bolong
Keyword(s):  
Data Collection ◽  
Character Education ◽  
Gender Equality ◽  
Data Reduction ◽  
Social Values ◽  
Observation Data ◽  
Mutual Cooperation ◽  
Data Presentation ◽  
Data Collection Technique ◽  
Data Inference

Abstrak. Penelitian ini bertujuan untuk mengidentifikasi kearifan lokal suku Ende Tambi uma untuk dijadikan sebagai salah satu sumber belajar biologi dan pendidikan karakter yang kontekstual. Penelitian ini dilaksanakan di desa Gheoghoma, dan desa Watumbawu, Kabupaten Ende Propinsi NTT pada bulan Mei Tahun 2020. Jenis penelitian yang digunakan adalah deskriptif kualitatif. Teknik pengumpulan data berupa memadukan antara data observasi, wawancara dan studi literature yang ditindaklanjuti dengan tahap reduksi data, penyajian data, penyimpulan data. Hasil penelitian menunjukkan bahwa kearifan lokal Tambi uma berpotensi dijadikan sebagai sumber belajar biologi dan pendidikan karakter terutama mengandung nilai-nilai karakter luhur seperti gotong royong, persaudaraan, tanggung jawab, ketaatan, kesetaraan gender, nilai sosial, dan nilai komunikatif, yang berdampak pada sikap antusias peserta didik dalam mempelajari konsep.Abstract. This study aims to identify local wisdom of the Ende Tambi uma tribe to serve as a source of contextual biology and character education. This research was conducted in Gheoghoma village and Watumbawu village, Ende Regency, NTT Province in May 2020. The type of research used is descriptive qualitative. The data collection technique is in the form of combining observation data, interviews and literature studies which are followed up with the stages of data reduction, data presentation, and data inference. The results showed that local wisdom of Tambi uma has the potential to be used as a source of learning biology and character education, especially containing noble character values such as mutual cooperation, brotherhood, responsibility, obedience, gender equality, social values, and communicative values, which have an impact on enthusiasm. learners in learning concepts.

scholarly journals Interpretasi dan Bentuk Penyajian Lagu Habanera Dalam Opera Carmen Karya George Bizet Oleh Heny Janawati

2020 ◽  
Vol 3 (2) ◽  
pp. 97
Author(s):  
Salma Falista Salsabilla
Keyword(s):  
Data Analysis ◽  
Data Reduction ◽  
Research Process ◽  
Main Role ◽  
Data Presentation ◽  
Analysis Techniques ◽  
Mezzo Soprano ◽  
Data Validity ◽  
And Performance ◽  
Data Inference

AbstractHabanera, one of the most famous songs in Opera Carmen, tells the love life of Carmen as the main role. Interestingly, the song Habanera was sung by an Indonesian mezzo-soprano singer from Bali, Heny Janawati, who has perform the Opera Carmen while singing in Europe and Indonesia with different interpretations and performance of song Habanera. The purpose of this study was to analyze the interpretation and performance form of the Habanera Opera Carmen song when it was performed in Jakarta in 2016 in order to become a knowledge. This research process used qualitative methods. The data in this study were obtained through observation, interviews, and documentations. Data analysis techniques used data reduction, data presentation, and data inference. As for the data validity test used triangulation. The results of this study indicate that Heny Janawati has characteristics to interpret this song through out the structure, tempo, dynamics, and intonation of this song. That she present in Opera Carmen are more modern from it's europe counterpart, which in Europe its characteristics, number of accompaniments, dimensions of the setting, lighting and wardrobe are more traditional. 

scholarly journals Risk of Cascading Blackouts Given Correlated Component Outages

2020 ◽  
Vol 7 (3) ◽  
pp. 1133-1144
Author(s):  
Laurence A. Clarfeld ◽  
Paul D. H. Hines ◽  
Eric M. Hernandez ◽  
Margaret J. Eppstein
Keyword(s):  
Cascading Blackouts

scholarly journals Novel Prediction Method for Highway Distresses in Permafrost Regions Based on Qualitative Reasoning of Multidimensional and Multirules Cloud Model

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Chi Zhang ◽  
Hong Zhang ◽  
Min Zhang ◽  
Quanli Gong
Keyword(s):  
Cloud Model ◽  
Prediction Method ◽  
Large Data ◽  
Qualitative Reasoning ◽  
Data Output ◽  
Infrastructure Project ◽  
Ice Content ◽  
Data Inference ◽  
Evaluation Parameters ◽  
Permafrost Regions

Highway in permafrost regions has numerous diseases during operation, due to instability and degradation of permafrost. To predict distress sections of a newly built highway in permafrost regions, we proposed a new method based on the multidimensional and multirules reasoning cloud model. Herein, the evaluation parameters affecting the highway distresses in permafrost regions, i.e., annual average ground temperature, ice content, and frozen-heave factor, were as the data input, whereas the distress degree was as the data output; all of the aforementioned were described by a cloud model. Based on the analysis of distress large data, inference rules and a cloud reasoning prediction model were established. Subsequently, distress degrees of the 10 equidistance highway sections were predicted on the Qinghai-Tibet highway by using the cloud model, and actual distress degree and predicted distress degree were compared by using the regression analysis algorithm. The results showed that the relevance between the actual distress degree and the predicted distress degree was 0.738. The study provides a feasible and effective method to predict the potential distress sections of the newly built highway and better plan infrastructure project on permafrost regions.

Sign in / Sign up

Export Citation Format

Share Document