scholarly journals Computer Vision-Based Patched and Unpatched Pothole Classification Using Machine Learning Approach Optimized by Forensic-Based Investigation Metaheuristic

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Nhat-Duc Hoang ◽  
Thanh-Canh Huynh ◽  
Van-Duc Tran
Keyword(s):  
Computer Vision ◽  
Asphalt Pavement ◽  
Classification Model ◽  
Image Texture ◽  
Rank Test ◽  
Support Vector ◽  
Signed Rank ◽  
Classification Boundary ◽  
Signed Rank Test ◽  
Class Labels

During the phase of periodic asphalt pavement survey, patched and unpatched potholes need to be accurately detected. This study proposes and verifies a computer vision-based approach for automatically distinguishing patched and unpatched potholes. Using two-dimensional images, patched and unpatched potholes may have similar shapes. Therefore, this study relies on image texture descriptors to delineate these two objects of interest. The texture descriptors of statistical measurement of color channels, the gray-level cooccurrence matrix, and the local ternary pattern are used to extract texture information from image samples of asphalt pavement roads. To construct a classification model based on the extracted texture-based dataset, this study proposes and validates an integration of the Support Vector Machine Classification (SVC) and the Forensic-Based Investigation (FBI) metaheuristic. The SVC is used to generalize a classification boundary that separates the input data into two class labels of patched and unpatched potholes. To optimize the SVC performance, the FBI algorithm is utilized to fine-tune the SVC hyperparameters. To establish the hybrid FBI-SVC framework, an image dataset consisting of 600 samples has been collected. The experiment supported by the Wilcoxon signed-rank test demonstrates that the proposed computer vision is highly suitable for the task of interest with a classification accuracy rate = 94.833%.

Minimum Redundancy Maximum Relevance for Analysis of Proteomic Profile

2013 ◽  
Vol 380-384 ◽  
pp. 4197-4201
Author(s):  
Xiao Li Yang ◽  
Fan Wang
Keyword(s):  
Support Vector Machines ◽  
Rank Test ◽  
Support Vector ◽  
Proteomic Profile ◽  
Peptide Profile ◽  
Minimum Redundancy Maximum Relevance ◽  
Discrimination Model ◽  
Signed Rank ◽  
Vector Machines ◽  
Signed Rank Test

We propose a approach to determine features directly based on classification target of proteomic profile, which combines minimum redundancy maximum relevance (MRMR) and support vector machines (SVM). Firstly, the profile are preprocessed through iterative minimum in adaptive setting window (IMASW) and searching window methods for correcting negative intensities caused by manual preprocessing and peak picking. Then, MRMR and support vector machines (SVM) techniques were used to identify biomarkers and build discrimination model. With an optimization of the parameters involved in the modeling, a satisfactory model was achieved for ovarian cancer diagnosis based on proteomic peptide profile dataset. To study the performance of MRMR, we applied two statistical method, t test and Wilcoxon signed-rank test, to identify features. The results show that MRMR method is more efficient.

scholarly journals Concrete Spalling Severity Classification Using Image Texture Analysis and a Novel Jellyfish Search Optimized Machine Learning Approach

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Nhat-Duc Hoang ◽  
Thanh-Canh Huynh ◽  
Van-Duc Tran
Keyword(s):  
Computer Vision ◽  
Surface Condition ◽  
Characteristic Curve ◽  
Concrete Surface ◽  
Input Image ◽  
Test Point ◽  
Image Texture ◽  
Rank Test ◽  
Support Vector ◽  
Severity Classification

During the phase of building survey, spalling and its severity should be detected as earlier as possible to provide timely information on structural heath to building maintenance agency. Correct detection of spall severity can significantly help decision makers develop effective maintenance schedule and prioritize their financial resources better. This study aims at developing a computer vision-based method for automatic classification of concrete spalling severity. Based on input image of concrete surface, the method is capable of distinguishing between a minor spalling in which the depth of the broken-off material is less than the concrete cover layer and a deep spalling in which the reinforcing steel bars have been revealed. To characterize concrete surface condition, image texture descriptors of statistical measurement of color channels, gray-level run length, and center-symmetric local binary pattern are used. Based on these texture-based features, the support vector machine classifier optimized by the jellyfish search metaheuristic is put forward to construct a decision boundary that partitions the input data into two classes of shallow spalling and deep spalling. A dataset consisting of 300 image samples has been collected to train and verify the proposed computer vision method. Experimental results supported by the Wilcoxon signed-rank test point out that the newly developed method is highly suitable for concrete spall severity classification with accuracy rate = 93.33%, F1 score = 0.93, and area under the receiver operating characteristic curve = 0.97.

PENGARUH TIRAH BARING TERHADAP PENURUNAN RASA MUAL PADA KLIEN GASTRITIS DI PELAYANAN KESEHATAN

2019 ◽  
Vol 3 (1) ◽  
pp. 25
Author(s):  
Dewi Nurhanifah ◽  
Desy Noor Latifah Sari ◽  
Rahmawati Rahmawati
Keyword(s):  
Rank Test ◽  
Purposive Sampling ◽  
Signed Rank ◽  
Wilcoxon Signed Rank Test ◽  
Signed Rank Test

Salah satu masalah kesehatan yang sering dialami adalah penyakit gastritis. Gejala yang sering dikeluhkan oleh penderita gastritis adalah mual. Salah satu penatalaksanaan keperawatan yang dapat mengurangi rasa mual adalah tirah baring. Penelitian ini bertujuan untuk mengetahui pengaruh tirah baring terhadap penurunan rasa mual pada klien gastritis di Pelayanan Kesehatan. Metode penelitian menggunakan eksperimental dengan bentuk penelitian one group pretest-posttest design. Populasi dan sampel adalah klien yang mengalami mual di Wilayah Kerja Puskesmas  yang berjumlah 15 orang. Sampel diambil dengan teknik purposive sampling. Alat pengumpul data menggunakan observasi. Analisa data melalui uji Wilcoxon Signed Rank Test. Hasil penelitian menujukkan klien gastritis sebelum tirah baring mengalami mual ringan sebanyak 7 orang (46,7%), sesudah tirah baring mengalami tidak mual sebanyak 7 orang (46,7%). Ada pengaruh tirah baring terhadap penurunan rasa mual pada klien gastritis di Pelayanan Kesehatan (ρ value = 0,001).

Efektifitas Kompres Jahe Merah Hangat Dan Kompres Serai Terhadap Penurunan Intensitas Nyeri Arthritis Remathoid Pada Lanjut Usia Di Desa Mojoranu Kecamatan Dander Kabupaten Bojonegoro

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Ferawato Ferawati
Keyword(s):  
Pain Intensity ◽  
Therapy Group ◽  
The Elderly ◽  
Rank Test ◽  
Test Design ◽  
Signed Rank ◽  
Wilcoxon Signed Rank Test ◽  
Post Test ◽  
Signed Rank Test ◽  
Red Ginger

ABSTRAKReumatoid Artritis (RA) merupakan penyakit muscoloskelektal yang sering terjadi pada usia lanjut. Gangguan pada system muscoloskelektal yang ditandai dengan munculnya nyeri sendi dan kekakuan yang mengakibatkan penurunan kemampuan fisiologis atau kualitas hidup lansia. Dampak dari Reumatoid Artritis dapat menimbulkan beberapa keluhan dan dapat menyebabkan kelumpuhan. Untuk menganalisis efektifitas kompres jahe merah hangat dan kompres serai hangat terhadap penurunan intensitas nyeri artitris remauthoid pada lanjut usia.Metode Penelitian: Jenis penelitian adalah quasy experimental dengan two group pre – post test design. Subjek adalah sebagian lansia yang penderita Arthritis Remathoid di Desa Sumberagung Kecamatan Dander Kabupaten Bojonegoro. Subjek dibagi menjadi dua kelompok yaitu kelompok I (n=15) diberi perlakuan kompres jahe hangat dan II (n=15) diberi perlakuan kompres serai hangat. Analisis yang digunakan uji Mann Whitney U Test dan Wilcoxon Signed Ranks Test dengan ingkat kemaknaan α = 0,05.Hasil uji Wilcoxon Signed Rank Test, didapat keduanya mempunyai nilai kemaknaan yaitu ρ value = 0,000. Nilai ρ = 0,031 pada kelompok kompres serai hangat dan kelompok kompres jahe merah ρ value = 0,165. Hasil uji Mann Withney U Test pada Post perlakuan kedua terapi diperoleh selisih nilai nyeri pada kompres jahe ρ= 0,003 dan selisih nilai nyeri kompres serai ρ value = 0,001.Penggunaan kompres jahe merah lebih efektif dibandingkan dengan kompres serai terhadap penurunan intensitas nyeri arthritis remathoid. Kata Kunci: usia lanjut, Reumatoid Artritis (RA), jahe merah, serai, perbedaan efektifitas.    ABSTRACTReumatoid Artritis (RA) is a musculoskeletal which frequently occurs in the elderly. The disorders in the musculoskeletal system are noted by the occurrence of pain in the joints and stiffness which reduces the physiological abilities or life quality of the elderly. The disease causes many such complaints and  consequences of the disease rheumatoid arthritis may experience paralysis. The aims of this study is to analyze the effect of warm red ginger compress therapy and warm lemongrass compress therapy against of  Decreased pain intensity in  the elderly  with  artitris remauthoid. The study was Queasy experimental with two group pre – post test design. Subjects were some elderly people with Arthritis Remathoid in Sumberagung Village, Dander Sub District, Bojonegoro District. Subjects were divided into two groups: group I (n-15) with warm ginger compress therapy, and II (n=15) with warm lemongrass compress therapy. The analyses used in this study were the Mann Whitney U Test and Wilcoxon Signed Ranks Test with α of 0.05. Results of Wilcoxon Signed Rank Test obtained Both have meaning p value of  0.000. ρ value = 0,031 in a warm lemongrass compress therapy group and obtained of warm ginger compress therapy group ρ value = 0,165. The results of Mann Withney U Test on Post treatment second therapy, obtained difference of warm ginger compress therapy with ρ value= 0,003 and difference of warm lemongrass compress therapy with ρ value = 0,001.The use of warm ginger compresses therapy are more effective than a warm lemongrass compress therapy against decreased pain intensity in  the elderly  with  artitris remauthoid.  Keywords: elderly, artitris remauthoid, red ginger, lemongrass, differences in effectiveness

The Degree of Subjective Complaints of Students Practice in Mechanical Technology Laboratories

2018 ◽  
Vol 4 (1) ◽  
pp. 22
Author(s):  
I Ketut Widana
Keyword(s):  
Engineering Students ◽  
Standing Position ◽  
Statistical Test ◽  
Rank Test ◽  
Cross Sectional ◽  
Signed Rank ◽  
Before And After ◽  
Signed Rank Test ◽  
The Difference ◽  
Paired T Test

The working practice of the engineering students is part of the learning process that is irreducible and indispensable. The composition of  lecturing between theoretical and practical one is 40% to 60%. With this condition, the students spend more time at the laboratory. Generally, the students perform in the laboratory work by standing position. The design of research is observational cross-sectional. The method applied is observation, interview and measuring. The subjects of research are practicing students amounting to 21 students. Referring to the analysis of statistical test or Wilcoxon signed ranks test, the difference of effect of work position is significant, namely p < 0.05 towards musculoskeletal disorders (MSDs) before and after working. The quantity of the average complaint after working is score 44.62 ± 9.47. The result of Wilcoxon signed rank test shows that there is significant different effects of standing work position, namely p < 0.05 towards fatigue generally before and after working. The degree of the working pulse is on the average of 110.78  ± 17.80 bpm (beats per minutes) which can be categorized into the medium workload. Using paired t-test, the result is p < 0.05.

PENGARUH PEMBACAAN DZIKIR PADA IBU MELAHIRKAN TERHADAP TINGKAT NYERI INTRA NATAL DI RUMAH BERSALIN FAJAR YOGYAKARTA

2010 ◽  
Vol 1 (1) ◽  
Author(s):  
Sri Sumaryani ◽  
Indri Nurasa
Keyword(s):  
Home Delivery ◽  
Labor Pain ◽  
Rank Test ◽  
Control Group ◽  
Pain Level ◽  
Control Group Design ◽  
Signed Rank ◽  
Wilcoxon Signed Rank Test ◽  
Post Test ◽  
Signed Rank Test

PENGARUH PEMBACAAN DZIKIR PADA IBU MELAHIRKAN TERHADAP TINGKAT NYERI INTRA NATAL DI RUMAH BERSALIN FAJAR YOGYAKARTAEffect of Reading Dhikr Women On The Level Of Birth Pain Intra Christmas At Home Delivery Dawn YogyakartaSri Sumaryani1 & Indri Nurasa21, 2)Program Studi Ilmu Keperawatan Fakultas Kedokteran Universitas Muhammadiyah YogyakartaJl. Lingkar Barat Taman Tirto Kasihan Bantul Yogyakarta 55182*)e-mail: [email protected] atau yang biasa disebut dengan proses persalinan merupakan suatu proses membuka dan menipisnya serviks, dan janin turun ke dalam jalan lahir. Gejala awal persalinan akan menimbulkan nyeri yang sangat hebat karena adanya kontraksi uterus dan otot abdomen. Nyeri intra natal adalah suatu nyeri yang dirasakan saat terjadinya proses persalinan (melahirkan). Saat nyeri persalinan muncul, ada baiknya bagi ibu untuk membaca dzikir. Dzikir adalah mengingat Allah SWT dan menghadirkan apa yang tadinya ada di dalam benak untuk kemudian dilafadzkan atau disebut-sebut yang dapat dilakukan secara lisan dengan menggunakan lidah atau bisa juga diucapkan tanpa adanya keterlibatan lidah, yaitu melalui hati. Penelitian ini bertujuan untuk mengetahui pengaruh pembacaan dzikir pada ibu melahirkan terhadap tingkat nyeri intra natal. Teknik pengambilan sampel menggunakan purposive sampling. Desain penelitian pra eksperimen, dengan rancangan pre test-post test tanpa kelompok kontrol. Sampel penelitian berjumlah 30 responden. Pengumpulan data dilakukan dengan observasi langsung kepada responden untuk mengukur tingkat nyeri. Analisa data menggunakan uji statistik wilcoxon signed rank test dan regresi linier dengan menggunakan SPSS 14. Hasil penelitian menunjukkan bahwa hasil uji statistik untuk nilai pre test dan post test tingkat nyeri diperoleh nilai signifikansi 0,02 dengan p < 0,05.Kata kunci: pembacaan dzikir, melahirkan, nyeri intra natal, tingkat nyeriABSTRACTThe delivery or usually called labor process is a process open and thin the cervix, and descent of the fetus into the way of birth. The early symptom of delivery will be appearing very heavy because there are uterus contraction and abdomen muscle. In partum pain is a pain which feel when delivery process happening (labor). When labor pain appears, there is a good for the mother to read dzikir. Dzikir is remembering Allah SWT and make present what before in the mind and then pronounced or make cal can do spoken by tongue or pronounced without there are involving tongue, by heart. The purpose of this research is to know about the influence of reading dzikir to the delivery mother toward in partum level of pain. Technique sampling used purpose sampling. The research of design pre experiment, with pre test-post test without control group design. The sample in this research’s total is 30 respondents. The manner of data was did by direct observation to the respondents to measure pain level. Data analysis used statistic test wilcoxon signed rank test and regression linier in SPSS 14. The results of research showed that results of the statistic pretest and posttest of pain level show significance value 0,02 with p < 0,05.Keywords: reading dzikir, delivery, in partum pain, pain level

scholarly journals Evaluation of Intraocular Pressure and Other Biomechanical Parameters to Distinguish between Subclinical Keratoconus and Healthy Corneas

2021 ◽  
Vol 10 (9) ◽  
pp. 1905
Author(s):  
Cristina Peris-Martínez ◽  
María Amparo Díez-Ajenjo ◽  
María Carmen García-Domene ◽  
María Dolores Pinazo-Durán ◽  
María José Luque-Cobija ◽  
...  
Keyword(s):  
Function Theory ◽  
Rank Test ◽  
Maximum Deformation ◽  
Corrected Visual Acuity ◽  
Signed Rank ◽  
Signed Rank Test ◽  
Biomechanical Parameters ◽  
Spss Software ◽  
Biomechanical Measurements ◽  
Noncontact Tonometry

(1) Purpose: To assess the main corneal response differences between normal and subclinical keratoconus (SCKC) with a Corvis® ST device. (2) Material and Methods: We selected 183 eyes of normal patients, of a mean age of 33 ± 9 years and 16 eyes of patients with SCKC of a similar mean age. We measured best corrected visual acuity (BCVA) and corneal topography with a Pentacam HD device to select the SCKC group. Biomechanical measurements were performed using the Corvis® ST device. We carried out a non-parametric analysis of the data with SPSS software (Wilcoxon signed rank-test). (3) Results: We found statistically significant differences between the control and SCKC groups in some corneal biomechanical parameters: first and second applanation time (p = 0.05 and p = 0.02), maximum deformation amplitude (p = 0.016), highest concavity radius (p = 0.007), and second applanation length and corneal velocity ((p = 0.039 and p = 0.016). (4) Conclusions: Our results show that the use of normalised biomechanical parameters provided by noncontact tonometry, combined with a discriminant function theory, is a useful tool for detecting subclinical keratoconus.

scholarly journals Promotion of Elementary School Students’ Health Literacy

2020 ◽  
Vol 17 (24) ◽  
pp. 9560
Author(s):  
Elke Knisel ◽  
Helge Rupprich ◽  
Annika Wunram ◽  
Markus Bremer ◽  
Christiane Desaive
Keyword(s):  
Physical Activity ◽  
Elementary School ◽  
Health Literacy ◽  
Health Knowledge ◽  
Rank Test ◽  
School Students ◽  
Related Information ◽  
Signed Rank ◽  
Health Related ◽  
Signed Rank Test

Health literacy is an important outcome of the discussion of school-related health education and health promotion in the 21st century. Although the improvement of health literacy at an early age is increasingly recognized and few interventions show the development of children´s health literacy, still there is little research in this area. The purpose of the study was to examine the enhancement of health literacy among children in a physical activity-based program at elementary school. In total, 137 students aged 6–12 years participated in the program, which included health knowledge transfer in child-appropriate games and exercises. Participants´ health literacy was assessed using the HLS-Child-Q15-DE at the beginning and the end of the program. The instrument measures the access, understanding, appraisal and application of health-related information on a four-point Likert-type scale. As expected, the Wilcoxon signed-rank test revealed significant increases in self-reported health literacy over time. The results show that the degree of change in health literacy was not associated with gender or age. The results suggest that the physical activity-based program has the potential to improve elementary school children´s health literacy, even though in a single group pilot study.

scholarly journals An Enhanced Spectral Clustering Algorithm with S-Distance

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 596
Author(s):  
Krishna Kumar Sharma ◽  
Ayan Seal ◽  
Enrique Herrera-Viedma ◽  
Ondrej Krejcar
Keyword(s):  
Spectral Clustering ◽  
Clustering Algorithm ◽  
Spatial Clustering ◽  
Clustering Algorithms ◽  
Rank Test ◽  
Customer Churn ◽  
Signed Rank ◽  
Signed Rank Test ◽  
Spectral Clustering Algorithm ◽  
Industrial Databases

Calculating and monitoring customer churn metrics is important for companies to retain customers and earn more profit in business. In this study, a churn prediction framework is developed by modified spectral clustering (SC). However, the similarity measure plays an imperative role in clustering for predicting churn with better accuracy by analyzing industrial data. The linear Euclidean distance in the traditional SC is replaced by the non-linear S-distance (Sd). The Sd is deduced from the concept of S-divergence (SD). Several characteristics of Sd are discussed in this work. Assays are conducted to endorse the proposed clustering algorithm on four synthetics, eight UCI, two industrial databases and one telecommunications database related to customer churn. Three existing clustering algorithms—k-means, density-based spatial clustering of applications with noise and conventional SC—are also implemented on the above-mentioned 15 databases. The empirical outcomes show that the proposed clustering algorithm beats three existing clustering algorithms in terms of its Jaccard index, f-score, recall, precision and accuracy. Finally, we also test the significance of the clustering results by the Wilcoxon’s signed-rank test, Wilcoxon’s rank-sum test, and sign tests. The relative study shows that the outcomes of the proposed algorithm are interesting, especially in the case of clusters of arbitrary shape.

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