Alphabet Writing Game Application using Template Matching Cross-correlation

2020 ◽  
Vol 8 (4) ◽  
pp. 393
Author(s):  
I Made Pegi Kurnia Amerta ◽  
I Gede Arta Wibawa
Keyword(s):  
Test Data ◽  
Template Matching ◽  
Cross Correlation ◽  
Data Classification ◽  
Classification Method ◽  
Thinning Algorithm ◽  
Binary Images ◽  
Average Value ◽  
Thinning Process

The game of writing letters is an attractive learning media. Each person's handwriting is different. So that it requires a data classification method to match the test data with the template that is the alphabet letter. In this journal using a template matching cross-correlation for data classification. Before data classification, preprocessing is done in the form of resize and threshold to produce binary images. Thinning process is also carried out to thin the letters. The thinning algorithm used is stentiford. From the accuracy testing obtained an average value of 70.38%. With the number of letters that continue to experience errors namely the characters H, K, M, and Y.

A SINGLE-LAYER NEURAL NETWORK FOR PARALLEL THINNING

1992 ◽  
Vol 03 (04) ◽  
pp. 395-404 ◽  
Author(s):  
REI-YAO WU ◽  
WEN-HSIANG TSAI
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Template Matching ◽  
Single Layer ◽  
Experimental Results ◽  
Object Shape ◽  
Thinning Algorithm ◽  
Binary Images ◽  
The Neural Network ◽  
Boolean Expressions

A single-layer recurrent neural network is proposed to perform thinning of binary images. This network iteratively removes the contour points of an object shape by template matching. The set of templates is specially designed for a one-pass parallel thinning algorithm. The proposed neural network produce the same results as the algorithm. Neurons in the neural network performs a sigma-pi function to collect inputs. To obtain this function, the templates used in the algorithm are transformed to equivalent Boolean expressions. After the neural network converges, a perfectly 8-connected skeleton is derived. Good experimental results show the feasibility of the proposed approach.

Determination of Fracture Toughness and K-R Curve for 2524-T3 Aluminum Alloy

2011 ◽  
Vol 291-294 ◽  
pp. 1039-1042
Author(s):  
Wei Xie ◽  
Shao Wei Tu ◽  
Qi Qing Huang ◽  
Ya Zhi Li
Keyword(s):  
Fracture Toughness ◽  
Aluminum Alloy ◽  
Stress Fracture ◽  
Test Data ◽  
Plane Stress ◽  
Crack Extension ◽  
Room Temperature ◽  
Mode I ◽  
Average Value

In the present work, the resistance to crack extension of 2524-T3 aluminum alloy under Mode I loading was studied by using the middle-cracked tension M (T) specimens. The curve, plane-stress fracture toughness and apparent plane-stress fracture toughness were calculated by test data. The average value of measured fracture toughness at room temperature was 161 MPam1/2. The results and conclusions can be referred in airplane skin design.

Imbalanced Data Classification Based on Clustering

2013 ◽  
Vol 443 ◽  
pp. 741-745
Author(s):  
Hu Li ◽  
Peng Zou ◽  
Wei Hong Han ◽  
Rong Ze Xia
Keyword(s):  
Real World ◽  
Imbalanced Data ◽  
Data Classification ◽  
Comprehensive Analysis ◽  
Classification Method ◽  
Classification Methods ◽  
Real World Data ◽  
Minority Class ◽  
Imbalanced Data Classification ◽  
Traditional Classification

Many real world data is imbalanced, i.e. one category contains significantly more samples than other categories. Traditional classification methods take different categories equally and are often ineffective. Based on the comprehensive analysis of existing researches, we propose a new imbalanced data classification method based on clustering. The method clusters both majority class and minority class at first. Then, clustered minority class will be over-sampled by SMOTE while clustered majority class be under-sampled randomly. Through clustering, the proposed method can avoid the loss of useful information while resampling. Experiments on several UCI datasets show that the proposed method can effectively improve the classification results on imbalanced data.

Scaling vs. nonscaling methods of assessing autonomic tone in streptozotocin-induced diabetic rats

2002 ◽  
Vol 283 (3) ◽  
pp. H1142-H1149 ◽  
Author(s):  
Itay Perlstein ◽  
Nir Sapir ◽  
Joshua Backon ◽  
Dan Sapoznikov ◽  
Roman Karasik ◽  
...  
Keyword(s):  
Cross Correlation ◽  
Diabetic Rats ◽  
Fluctuation Analysis ◽  
Autoregressive Modeling ◽  
Autonomic Tone ◽  
Scaling Parameter ◽  
Average Value ◽  
Disease States ◽  
Streptozotocin Induced Diabetes ◽  
Baseline Conditions

We studied heart rate variability in rats by power scaling spectral analysis (PSSA), autoregressive modeling (AR), and detrended fluctuation analysis (DFA), assessed stability by coefficient of variation between consecutive 6-h epochs, and then compared cross-correlation among techniques. These same parameters were checked from baseline conditions through acute and chronic disease states (streptozotocin-induced diabetes) followed by therapeutic intervention (insulin). Cross-correlation between methods over the entire time period was r = 0.94 (DFA and PSSA), r = 0.81 (DFA and AR), and r = 0.77 (AR and PSSA). Under baseline conditions the scaling parameter measured by DFA and PSSA and the high-frequency (HF) component measured by AR fluctuated around an average value, but these fluctuations were different for the three methods. After diabetes induction, a strong correlation was found between the HF power and the short-term scaling parameter. Despite their differences in methodology, DFA and PSSA assess changes in parasympathetic tone as detected by autoregressive modeling.

scholarly journals Peningkatan Hasil Belajar Menulis Puisi Melalui Media Gambar Berseri Siswa Kelas VIII-1 SMP Negeri 17 Ambon

2020 ◽  
Vol 13 (2) ◽  
pp. 216
Author(s):  
Everhard Markiano Solissa ◽  
Lesly Chriselya Wattimury
Keyword(s):  
Action Research ◽  
Learning Outcomes ◽  
Test Data ◽  
Test Results ◽  
Average Value ◽  
Writing Test ◽  
Poetry Writing ◽  
Student Test ◽  
Classroom Action Research ◽  
Media Learning

ABSTRAKTujuan penelitian ini adalah meningkatkan kemampuan menulis puisi siswa kelas VIII-1 SMP Negeri 17 Ambon. Data penelitian ini berupa hasil tes menulis puisi yang diambil dari setiap siklus. Sampel berjumlah 25 siswa. Data    tes dianalisis menggunakan rumus, yakni nilai siswa diperoleh dari hasil bagi jumlah skor yang diperoleh siswa dengan skor ideal. Hasil tes siswa kemudian dikualifikasi sesuai kriteria yang telah ditentukan. Hasil penelitian menunjukkan bahwa terjadi peningkatan hasil belajar menulis puisi siswa kelas VIII-1 SMP Negeri 17 Ambon dengan menggunakan media gambar berseri. Hal itu terlihat dari jumlah siswa yang mencapai KKM  pada siklus pertama yakni  3 orang dengan nilai rata-rata semua siswa 51,70 menjadi 19 orang pada siklus kedua dengan nilai rata-rata semua siswa 75.Kata kunci: Media Gambar Berseri, Peningkatan Hasil Belajar, Menulis Puisi, Penelitian Tindakan KelasABSTRACTThe aims of this research is to improve the ability to write poetry for VIII-1 grade students at SMP Negeri 17 Ambon. The data of this research are in the form of poetry writing test results taken from each cycle. The sample consisted of 25 students. Test data were analyzed using a formula that is the student scores obtained from the results for the total score obtained by students with an ideal score. Student test results are then qualified according to predetermined criteria. The results showed that there was an increase in the learning outcomes of writing poetry for VIII-1 grade students of SMP Negeri 17 Ambon by using serial media. This can be seen from the number of students who reached the KKM in the first cycle namely 3 people with an average value of all students 51.70. It becomes 19 people in the second cycle with an average value of all students 75.Keyword: Serial Image Media, Learning Outcomes Improvement, Writing Poetry, Classroom Action Research

scholarly journals PENINGKATAN KEMAMPUAN MENULIS TEKS PIDATO MENGGUNAKAN MODEL PEMBELAJARAN KUMON SISWA KELAS X MA AL-MUHAJIRIN TUGUMULYO

2019 ◽  
Vol 7 (2) ◽  
pp. 122
Author(s):  
DIAN RAMADAN LAZUARDI
Keyword(s):  
Data Analysis ◽  
Action Research ◽  
Data Collection ◽  
Test Data ◽  
Research Approach ◽  
Text Learning ◽  
Average Value ◽  
Action Research Approach ◽  
Analysis Technique ◽  
Classroom Action Research

AbstrakPenelitian ini bertujuan untuk meningkatkan kemampuan menulis teks pidato siswa kelas X MA Al-Muhajirin Tugumulyo menggunakan model pembelajaran kumon yang berjumlah 32 orang siswa. Penelitian ini menggunakan pendekatan penelitian tindakan kelas (classroom action research). Teknik pengumpulan data dalam penelitian ini�menggunakan teknik tes. Hasil data tes dianalisis dengan melihat nilai rata-rata peningkatan pada pratindakan, siklus I, dan siklus II. Teknik analisis data dilakukan dengan cara menjumlahkan skor dari indikator penilaian yang diperoleh siswa. Pada kegiatan pratindakan nilai rata-rata siswa sebesar 71,71% dengan ketuntasan sebesar 34,38% dengan jumlah siswa tuntas sebanyak 11 orang dan yang tidak tuntas sebanyak 21 orang. Tindakan siklus I, nilai rata-rata siswa 75,53 dan ketuntasan hanya mencapai 71,88% dengan jumlah siswa tuntas sebanyak 23 orang dan tidak tuntas sebanyak 9orang. Sedangkan pada siklus II nilai rata-rata mencapai 80,93 dengan jumlah siswa tuntas sebanyak 30 orang dan tidak tuntas 2 orang, berarti dari siklus I sampai siklus II meningkat sebesar 21,87%.. Simpulan, melalui model pembelajaran kumon kemampuan menulis teks pidato meningkat.Kata Kunci: Teks pidato, pembelajaran, kumon.AbstractThis study aims to improve the ability to write speech texts in class X MA Al-Muhajirin Tugumulyo using a kumon learning model of 32 students. This research uses a classroom action research approach. Data collection techniques in this study used test techniques. The results of the test data were analyzed by looking at the average value of the increase in pre-action, cycle I, and cycle II. Data analysis technique is done by adding up scores from assessment indicators obtained by students. In the pre-action activities the average value of students was 71.71% with completeness of 34.38% with the number of students as many as 11 people and as many as 21 people who did not complete. The first cycle of action, the average value of students 75.53 and completeness only reached 71.88% with the total number of students as many as 23 people and not as many as 9 people. While in cycle II the average value reached 80.93 with 30 students completing as many students and not completing 2 people, meaning that from cycle I to cycle II increased by 21.87%. increased.Keywords: Speech text, learning, kumon.

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