A Texture Features based Robust Facial Expression Recognition

Facial expression plays an important role in communicating emotions. In this paper, a robust method for recognizing facial expressions is proposed using the combination of appearance features. Traditionally, appearance features mainly divide any face image into regular matrices for the computation of facial expression recognition. However, in this paper, we have computed appearance features in specific regions by extracting facial components such as eyes, nose, mouth, and forehead, etc. The proposed approach mainly has five stages to detect facial expression viz. face detection and regions of interest extraction, feature extraction, pattern analysis using a local descriptor, the fusion of appearance features and finally classification using a Multiclass Support Vector Machine (MSVM). Results of the proposed method are compared with the earlier holistic representations for recognizing facial expressions, and it is found that the proposed method outperforms state-of-the-art methods.

Water extraction pattern and transpirational losses of peach trees Under well-watered and drying cycles

Mature peach trees [Prunus Persica (L.) Batsch] grown in weighing lysimeters were subjected to soil moisture stress by shutting off irrigation. Initially transpiration (T) was at potential rate when available soil moisture in the active root zone was near field capacity. Rapid changes in soil moisture under drying cycles caused gradual decrease in transpirational rate. When 0 to 60 cm soil layer reached permanent wilting point, there was a sharp decline in water use. Mature peach trees require barest minimum of 10 mm of water for their metabolic activity. A regression model has been developed to estimate transpirational loss of peach from available soil profile water.

A Smart Integrated Brain-Computer Interaction for Epileptic Seizure Detection

Epilepsy is brain resulted activities which are affected by suddenly seizures which have unpredictable changes affects brain electrical functionalities. Epilepsy has a significant impact on society on the healthcare treatment, cost, responds, and patients behavior. The study has main objectives to propose accurate integrated framework for epileptic seizure detection from the pre-ictal phase of the EEG signal. Locate the connected channel lobe in region where epileptic is expected to occur. Provide automated and real-time monitoring and send warning messages to patient and epileptologist to take accurate actions before ictal occur. Enable future contribution for different Seizure features and impact. Also reduce cost, time and effort. Based on the hypothesis of entropy of EEG signals during seizure has low value if (n) of channels are detected to have seizure, then they are considered as connected neighbors in brain domain mapping, which is clear alert that patient will have a seizure ictal. This end to end framework has modules of data acquisition, pre-processing, feature extraction, pattern-matching, supports vector machines (SVM) classifier for extracted feature, in addition to monitoring and notification. The extracted features includes lower threshold, homogeneity, weighted permutation entropy, power and energy. Also identify the physiological field located inside the brain which the seizure will expected to occur. The final output results have 92% for True positive rate in addition to 95% of F1 and 98.9% of accuracy. This system has proved consistency during all its phases of seizure detection with valuable and effective support to the society.

TIPOLOGI TENDA SEBAGAI STUDI ARSITEKTUR PORTABEL

Architecture trends are continuously searching for a new design alternative. If architecture is dominated by a permanent structure in the last decades, the latest trend suggests temporal, ephemeral, and informal architecture to emerge as the other alternative. While the world becomes complex, these other spatial forms are in demand, resulting in various installations, pop-up stores, container architecture, and portable, temporal architecture constructed throughout the cityscape. Its portability, elasticity, and fluidity have offered different human activity transformations compared to permanent architecture. Tent, one of the most popular portable architecture, has been used for myriad human activities, although fewer researches are found regarding the typology of the tent, which is considered beneficial to understand its transformation. The qualitative interpretive method is used to understand the typology of the contemporary tent. The diagram is utilized as a tool to investigate its form, structure, and physical appearance. The research steps are drawing a diagram, pattern extraction, and pattern interpretation. The phases are elimination of tent’s elaboration and decoration, pattern structure extraction, pattern illustration. The result is tent typology diagram. The novelty is tent basic pattern extraction. Keywords: Architecture; Portable; Tend; Type; Typology. AbstrakLatar belakang penelitian adalah fenomena tren arsitektur dunia yang mulai mempertanyakan alternatif lain keruangan. Permasalahannya pada dekade terakhir arsitektur dunia didominasi oleh pemahaman ruang permanen pada makna arsitektur yang seolah bersifat absolut, padahal belakangan konsep-konsep keruangan temporal, ephemeral dan informal semakin dibutuhkan untuk mengisi stagnansi arsitektur permanen. Kebutuhan ruang portabel meningkat; hal ini terbukti dari tingginya permintaan akan: instalasi, paviliun, pop-up store, kontainer dan jenis keruangan lain yang lebih ringan, cair dan mudah dimodifikasi. Tenda adalah salah satu alternatif keruangan temporal yang telah berkembang sejak dulu kala, keunggulannya sebagai arsitektur portabel masih relevan di saat ini. Meski demikian, belum banyak perkembangan dan penelitian tenda yang berfokus pada tipe dan struktur untuk gaya hidup masa depan, sementara dominasi pengembangan tenda adalah untuk kebutuhan berkemah atau liburan saja. Penelitian ini bertujuan untuk menginvestigasi tipologi tenda sebagai arsitektur portabel Metode penelitian adalah tipologi arsitektur untuk mengangkat kualitas arsitektur tenda. Diagram arsitektur digunakan untuk menghasilkan ilustrasi yang dapat diinterpretasikan dalam memahami pola struktur tenda, Langkah penelitian sebagai berikut: 1) menggambar diagram keruangan; 2) mengekstraksi pola; 3) menginterpretasi pola. Tahapan penelitian disusun sebagai berikut: 1) Mengeliminasi elaborasi dan dekorasi tenda, 2) Mengekstraksi struktur tenda, 3) Menggambar pola. Hasilnya adalah diagram arsitektur tipologi tenda. Kebaruannya adalah ekstraksi pola dasar tenda sebagai arsitektur portabel.

Frequency, Pattern and Rationale of Tooth Extractions Among Orthodontic Patients: A 10-year Tertiary Institution Experience

Background and objectives: Tooth extractions are a vital aspect of orthodontic management that enables the orthodontist to achieve good aesthetics and function as well as long term treatment stability for the patient. Extractions may be necessary for various reasons among which are tooth size arch length discrepancy (TSALD), increased overjet and facial profile. The aim of this study was to determine the prevalence, pattern and rationale of tooth extraction among orthodontic patients attending the Orthodontic Unit of the Department of Child Dental Health, University of Port Harcourt Teaching Hospital. Methods. A retrospective study of a cohort of patients who attended one of the outpatient Orthodontic Clinics in the Department of Child Dental Health, University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria between 2011 and 2021. Data was collected from the patients’ records. Results. A total of 175 patients comprising 70(40%) males and 105(60%) females were included in the study. 67(38.3%) patients had at least one extraction. Twenty-eight (41.8%) extraction cases had extraction of the first premolars. Two-unit extractions of the maxillary first premolars (13, 46.4%) was the most frequent extraction pattern. Eight (29.6%) had extraction of primary canines only. Twenty-seven (40.3%) participants had extractions due to increased overjet. Over a third of the patients had extraction of at least one tooth. Conclusion. Two-unit extractions of maxillary first premolar was the commonest extraction pattern. Increased overjet was the commonest reason for extraction.

TESSERAE3D: A BENCHMARK FOR TESSERAE SEMANTIC SEGMENTATION IN 3D POINT CLOUDS

3D point cloud of mosaic tesserae is used by heritage researchers, restorers and archaeologists for digital investigations. Information extraction, pattern analysis and semantic assignment are necessary to complement the geometric information. Automated processes that can speed up the task are highly sought after, especially new supervised approaches. However, the availability of labelled data necessary for training supervised learning models is a significant constraint. This paper introduces Tesserae3D, a 3D point cloud benchmark dataset for training and evaluating machine learning models, applied to mosaic tesserae segmentation. It is a publicly available, very high density and coloured dataset, accompanied by a standard multi-class semantic segmentation baseline. It consists of about 502 million points and contains 11 semantic classes covering a wide range of tesserae types. We propose a semantic segmentation baseline building on radiometric and covariance features fed to ensemble learning methods. The results delineate an achievable 89% F1-score and are made available under https://github.com/akharroubi/Tesserae3D, providing a simple interface to improve the score based on feedback from the research community.

Orthodontic Conundrums Part 3: Indications for the loss of a lower incisor

The final article in our series on orthodontic conundrums considers the extraction of a single lower incisor as part of a wider orthodontic treatment plan. This is a relatively uncommon approach; however, when used in the appropriate clinical scenario, it can be highly effective. Extraction of a lower incisor may be required to provide space for alignment of the teeth and serve as a pragmatic way to facilitate treatment while preserving posterior units. This article explores some of the possible orthodontic indications and contraindications for extraction of a lower incisor. CPD/Clinical Relevance: In certain clinical situations, extraction of a lower incisor has significant advantages. Dental professionals should be aware of this extraction pattern and its limitations.

Frequency of Extractions in Various Skeletal Patterns in Orthodontic Nishtar Institute of Dentistry, Multan

Introduction: When the 20th century started Orthodontics was first recognized as a science. The removal or extraction of teeth destroys the ideal esthetics and occlusion, which was the base of orthodontic treatment plans. Edward Hartley Angle and his followers were not supporters of extraction due to this reason. Extreme dental or maxillary protrusion leading to facial deformities could be corrected by dental extraction was supported by Calvin Case who was a strong opponent of the Angle., for mainly analyzing the frequency of use of orthodontic extractions after evaluating the changes in the use of extraction in past years. The frequency of extractions was examined in relation to gender and Angle’s malocclusion classification. Materials and Method: This is a retrospective observational study. It was conducted in Orthodontics Department of Nishtar Institute of Dentistry, from 2015 to 2020. In this study records from 1032 patients who reported to orthodontic department in Nishtar institute of dentistry Multan for fixed orthodontic treatment were taken. For data registration SPSS 20 (IBM Chicago Illinois) was used. Frequency of extractions with regards to gender, skeletal pattern and types of extraction pattern was determined. In order to assess the association among variables Chi square test was applied and a P value of less than 0.05 was considered as significant. Result: In respect of extraction group, 222 (41.3%) were males and 316 (58.7%) were female and whereas in nonextraction group, 83 (16.8%) were males and 411 (83.2%) were females. The difference was statistically significant (p<0.001). The frequency of extraction in reference to Angle’s classification was analyzed, and no significant difference was found (p=0.992). Frequency of extraction was highest in class-II division-I malocclusion, and the lowest frequency of orthodontic tooth extraction was seen in class-II division-II malocclusion. Conclusion: It can be concluded from the results of our study that females had higher frequency of extractions as compared to males. Similarly, class II malocclusion patients had highest frequency while lowest frequency was in Class I malocclusions.

Quantization-Based Novel Extraction Method Of EEG Signal For Classification

In the pattern recognition field, features or object’s characteristics are one of the key points to recognizing them. The feature extraction process will see that objects have different features, where the features are obtained through the analysis process from the extractor, such as for data statistics, energy, power spectral, and so on. This study aims to enrich the point of view of EEG signal features by quantifying the signal. It will be analyzed whether the features obtained by quantization represent the EEG signal object from different viewpoints. This research uses the DEAP dataset, with the result being a feature vector that will be included in the artificial neural network classifier using the Keras library. The experiment carried out is to try to enter quantized and Non-quantized feature vectors into the classifier. As a result, the accuracy of the classification process with the quantization vector was 75%, and the accuracy in the Non-quantized vector classification process was only 58%. These results indicate the EEG signal quantization feature can represent the EEG signal object. Keywords: EEG signal, quantization, DEAP, feature extraction, pattern recognition