A Nutrition Status Analysis System Based on Hierarchical Fuzzy Inference Approach

2007 ◽  
Vol 17 (6) ◽  
pp. 731-737
Author(s):  
Chang-S. Son ◽  
Gu-Beom Jeong
Keyword(s):  
Fuzzy Inference ◽  
Nutrition Status ◽  
Analysis System ◽  
Status Analysis

scholarly journals Analisis Penerapan Fuzzy Inference System (FIS) Dengan Metode Mamdani Pada Sistem Prediksi Mahasiswa Non Aktif (Studi Kasus AMIK Tunas Bangsa Pematangsiantar)

2018 ◽  
Author(s):  
Anjar Wanto
Keyword(s):  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Object Oriented ◽  
Inference System ◽  
Analysis System ◽  
Object Oriented Analysis

AMIK Tunas Bangsa merupakan Perguruan Tinggi di Pematangsiantar yang sedang berkembang. Banyaknya Mahasiswa yang kuliah membuat kesulitan dalam menangani pengolahan data keaktifan Mahasiswa. Seiring pelaksanaannya muncul masalah-masalah, salah satunya adalah banyaknya mahasiswa yang non aktif. Tingginya tingkat keberhasilan mahasiswa dan rendahnya tingkat kegagalan mahasiswa dapat mencerminkan kualitas suatu perguruan tinggi. Penelitian secara statistik telah banyak dilakukan untuk hal tersebut. Padapenelitian ini dikembangkan suatu sistem yang akan memprediksi mahasiswa Non Aktif menggunakan OOAD (Object Oriented Analysis System) dan Fuzzy Inference system (FIS) dengan menggunakan variabel input. OOAD (Object Oriented Analysis System) terbagi atas empat tahapan, yaitu analisis, desain, implementasi dan testing. Untuk perhitungan data digunakan Fuzzy Inference system (FIS) melalui tahapan fuzzifikasi, inferensi, dan defuzzifikasi. Prediksi dilakukan dengan cara memasukkan parameter-parameter yang ada sehingga diperoleh kesimpulan seberapa besar tingkat mahasiswa non aktif tersebut.

scholarly journals Design of baby growth monitor system in the Posyandu for nutrition status analysis

2020 ◽  
Vol 850 ◽  
pp. 012025
Author(s):  
B Utomo ◽  
H Gumiwang ◽  
L Soetjiatie ◽  
T Triwiyanto ◽  
D S Oswarida
Keyword(s):  
Nutrition Status ◽  
Monitor System ◽  
Status Analysis

scholarly journals A Fuzzy Logic Based Personalized Result Analysis Support for Student Performance Up-Gradation

2019 ◽  
Vol 8 (10S) ◽  
pp. 426-432
Keyword(s):  
Fuzzy Logic ◽  
Student Performance ◽  
Fuzzy Inference ◽  
Classical Method ◽  
Two Dimensional ◽  
Inference System ◽  
Surface Graph ◽  
Analysis System ◽  
Result Analysis ◽  
Dimensional Graph

Education system conducts various competitive exam and analyze the result but there is no any provision for improvement of result analysis. The proposed research method uses a fuzzy logic based result analysis system which suggest the improvement is possible in performance of result. This method uses Mamdani Fuzzy inference system and Triangular and Trapezoidal membership functions for removing uncertainty and prediction of better results. When marks are analyzed through a classical method it represents two dimensional graphs only. Using this two dimensional graph it is quite difficult to predict range of result. In the proposed method using 36 Fuzzy rules output is categorized in 6 grades namely O, A+, A, B, C, D. and it is represented in 3D surface graph. This graph helps to increase the grade level of number of student by upgrading phase.

Foliar Image Color Features for Rubber Nitrogen Deficiency Status Analysis

2012 ◽  
Vol 488-489 ◽  
pp. 1674-1679 ◽  
Author(s):  
Xiao Ming Yao ◽  
Wei Luo
Keyword(s):  
Strong Correlation ◽  
Comparative Studies ◽  
Detection Rate ◽  
Nitrogen Nutrition ◽  
Nitrogen Deficiency ◽  
Nutrition Status ◽  
Color Features ◽  
Green Component ◽  
Blue Component ◽  
Status Analysis

Many researchers have shown for decades that there is strong correlation between foliar color and its nitrogen nutrition status. However, their results also proved the big difference of this correlation among different crops or plants. In this paper, foliar image color features especially for rubber nitrogen nutrition status analysis are presented by comparative studies on current color feature indexes. Experimental results have shown that the ratio of red or green component to the blue component with detection rate of more than 98% is more suitable for rubber nitrogen nutrition analysis than any other correlations.

Automated Image Analysis Of Nuclear And Cytoplasmic Changes In Exfoliated Cells From Tracheas Treated With Carcinogen

1977 ◽  
Vol 35 ◽  
pp. 220-221
Author(s):  
S.F. Stinson ◽  
J.C. Lilga ◽  
M.B. Sporn
Keyword(s):  
Image Analysis ◽  
Pattern Analysis ◽  
Relative Proportion ◽  
Automated Image Analysis ◽  
Image Analyzer ◽  
Cross Sectional ◽  
Exfoliated Cells ◽  
Neoplastic Lesions ◽  
Analysis System ◽  
Morphologic Criterion

Increased nuclear size, resulting in an increase in the relative proportion of nuclear to cytoplasmic sizes, is an important morphologic criterion for the evaluation of neoplastic and pre-neoplastic cells. This paper describes investigations into the suitability of automated image analysis for quantitating changes in nuclear and cytoplasmic cross-sectional areas in exfoliated cells from tracheas treated with carcinogen.Neoplastic and pre-neoplastic lesions were induced in the tracheas of Syrian hamsters with the carcinogen N-methyl-N-nitrosourea. Cytology samples were collected intra-tracheally with a specially designed catheter (1) and stained by a modified Papanicolaou technique. Three cytology specimens were selected from animals with normal tracheas, 3 from animals with dysplastic changes, and 3 from animals with epidermoid carcinoma. One hundred randomly selected cells on each slide were analyzed with a Bausch and Lomb Pattern Analysis System automated image analyzer.

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