Optoelectronic and elastic response of fluorinated hexagonal boron nitride monolayer

The inherited insulating behavior of hexagonal boron nitride (h-BN) monolayer restricts its application in several optoelectronic devices, so finding a technique to reduce the bandgap allows it to possess the semiconducting functionality. Here, an experimentally feasible fluorinated hexagonal boron nitride (FBNF), a structurally, dynamically, and mechanically stable monolayer is reported by using density functional theory calculations. The significant geometrical transformation from planer h-BN to buckled FBNF softens the structure by retaining the mechanical isotropy and structural symmetry. Remarkably, the induced direct bandgap semiconducting behavior after fluorination enhances the optical absorbance and reflectivity reduces energy loss, creates strong optical anisotropy, and makes FBNF monolayer is a proper material in the optoelectronic and nanomechanical applications

Novel Methodology for Delivering Putrescine into the Apple Explants Using Hormone Anchored Nanotube

Multi wall carbon nanotubes have been successfully exploited as growth regulator for manipulation of plant development. Also, nanoparticles are gradually involved in target delivery systems as the carrier of hormones. Polyamines and their derivations play crucial roles in plant growth and development. Take the mentioned subjects into consideration, putrescine anchored carbon nanotube which had been labeled with fluorescein was synthetized in this study. A set of physiological and morphological parameters were assessed in an attempt to examine the usage potential of de novo synthetized nanotube in terms of plant in-vitro culture. For this purpose, the nanotube was applied onto the in-vitro plantlets of Malus niedzwetzkyana in three concentrations (0, 50 and 100 mg/l). Localization of the nanotube in the plantlets was accomplished using fluorescence microscopy. Bio-imaging of tissues indicated the existence of nanotube in nearly all studied organs. Application of the nanotube at both concentrations (50 and 100 mg/l) increased the rate of leaf formation and speeding up the plastochron. Also, proliferation of the plantlets was enhanced using the nanotube. The levels of the photosynthetic pigments, including chlorophyll a, b and carotenoids increased following application of the nanotube. Glutathione peroxidase activity was significantly affected by the nanotube. However, polyphenol oxidase and peroxidase were not influenced by the nanotube. Stomatal density was increased by treatment of the plantlets with the nanotube. Representing geometrical transformation of shape as a thin plate spline revealed that the nanotube effectively increased longitudinally of stomata and changes their aspect ratio.

Synthetic image data augmentation for fibre layup inspection processes: Techniques to enhance the data set

In the aerospace industry, the Automated Fiber Placement process is an established method for producing composite parts. Nowadays the required visual inspection, subsequent to this process, typically takes up to 50% of the total manufacturing time and the inspection quality strongly depends on the inspector. A Deep Learning based classification of manufacturing defects is a possibility to improve the process efficiency and accuracy. However, these techniques require several hundreds or thousands of training data samples. Acquiring this huge amount of data is difficult and time consuming in a real world manufacturing process. Thus, an approach for augmenting a smaller number of defect images for the training of a neural network classifier is presented. Five traditional methods and eight deep learning approaches are theoretically assessed according to the literature. The selected conditional Deep Convolutional Generative Adversarial Network and Geometrical Transformation techniques are investigated in detail, with regard to the diversity and realism of the synthetic images. Between 22 and 166 laser line scan sensor images per defect class from six common fiber placement inspection cases are utilised for tests. The GAN-Train GAN-Test method was applied for the validation. The studies demonstrated that a conditional Deep Convolutional Generative Adversarial Network combined with a previous Geometrical Transformation is well suited to generate a large realistic data set from less than 50 actual input images. The presented network architecture and the associated training weights can serve as a basis for applying the demonstrated approach to other fibre layup inspection images.

LEARNING TRAJECTORY OF GEOMETRY TRANSFORMATION BASED ON ETHNOMATEMATICS OF TRADITIONAL BALINESE HOUSES

Various studies show that Indonesian students' mathematics literacy is very low. The low level of mathematics literacy is influenced by many factors including the fact that mathematics learning does not relate to culture. The term used to relate mathematics to culture is called Ethnomatematics. The purpose of this study is to determine the learning trajectory of geometrical transformation based on Ethnomatematics of Traditional Balinese Houses that can improve mathematical literacy. This type of research used is a design research type validation study consisting of 3 phases, namely: (1) preparation of experiments, (2) experiments, and (3) retrospective analysis. The study was conducted of Laboratory Undiksha Junior High School. The data of this study were collected by observation, interviews, and tests. Furthermore, the data were analyzed descriptively. The results showed that the learning trajectory of geometry transformation begins with the giving of problems, phenomena, patterns, pictures, which are related to Ethnomatematics of Traditional Balinese Houses. Furthermore, students conduct investigations individually or in pairs related to mathematical ideas that exist in Ethnomatematics. Through discussion, students construct mathematical knowledge. Another result is that students become more enthusiastic in learning, and students' abilities in solving mathematics literacy problems become better.

PEMBELAJARAN BERBASIS ETNOMATEMATIKA DENGAN MEMODELKAN MOTIF BATIK GAJAH MADA

This research was based on mathematics learning in schools that are too formal and theoretical, and are less varied so it affects students' interest in learning mathematics. For this reason, a connection between mathematics outside of school and school mathematics is needed. One way that can be used is to utilize the ethnomathematics approach as the beginning of formal mathematics teaching which is suitable with the students' level of development who are at a concrete operational stage. The same thing was stated that the presence of mathematics with cultural nuances would make a major contribution to school mathematics. The objectives of this research were (1) to find out mathematical activities in the form of numerating, measuring, and calculating in batik activities. (2) To find out the mathematical concepts of geometry and geometrical transformations contained in batik motifs. This research used ethnographic research with a qualitative approach. Data collection techniques used were observation, interviews, and documentation. Data analysis technique used data reduction, data presentation, drawing conclusions and verification. The results showed that (1) in the batik activity at the Gajah Mada Tulungagung batik production house there were mathematical activities in the form of counting when determining the number of tools and materials needed, measuring fabric, calculating night requirements, calculating color comparisons, calculating waterglass requirements, and when calculating water needs. Measuring activity is seen during the process of measuring fabrics and designing batik patterns. The next step of counting activity is seen during the process of cutting fabric from 60 yards into 27 pieces, calculating the plastisin required for 2 meter fabric, and when mixing several colors. (2) There is a mathematical concept of geometry in the form of points, curved lines, triangles and circles, and the concept of geometrical transformation in the form of translation Keywords: Ethnomatematics, Mathematics, Culture, Batik Abstrak Pembelajaran matematika di sekolah yang formal dan teoritis, serta kurang bervariasi akan mempengaruhi minat peserta didik dalam mempelajari matematika. Untuk itu diperlukan keterhubungan antara matematika di luar sekolah dengan matematika sekolah. Salah satu cara yang dapat digunakan adalah dengan memanfaatkan pendekatan ethnomathematika sebagai awal dari pengajaran matematika formal yang sesuai dengan tingkat perkembangan siswa yang berada pada tahapan operasional konkrit. Hal yang sama dikemukakan bahwa kehadiran matematika yang bernuansa budaya akan memberikan kontribusi yang besar terhadap matematika sekolah. Penelitian ini bertujuan (1) untuk mengetahui aktivitas matematika berupa membilang, mengukur, dan menghitung pada aktivitas membatik. (2) Untuk mengetahui konsep matematika geometri dan transformasi geometri yang terdapat pada motif batik. Penelitian ini menggunakan jenis penelitian etnografi dengan pendekatan kualitatif. Teknik pengumpulan data yang digunakan adalah observasi, wawancara, dan dokumentasi. Dalam menganalisis data menggunakakan reduksi data, penyajian data, menarik kesimpulan dan verifikasi. Hasil penelitian menunjukkan bahwa (1) dalam aktivitas membatik di rumah produksi batik Gajah Mada Tulungagung terdapat aktivitas matematika yaitu berupa membilang saat menentukan banyaknya alat dan bahan yang diperlukan, mengukur kain, menghitung kebutuhan malam, menghitung perbandingan warna, menghitung kebutuhan waterglass, dan saat menghitung kebutuhan air. Aktivitas mengukur terlihat saat proses mengukur kain dan mendesain pola batik. Selajutnya aktivitas menghitung terlihat saat proses pemotongan kain dari 60 yard menjadi 27 potong, menghitung kebutuhan malam untuk kain 2 meter, dan saat mencampur beberapa warna. (2) Terdapat konsep matematika geometri berupa titik, garis lengkung, segitiga, dan lingkaran, serta konsep transformasi geometri berupa translasi, rotasi, dan refleksi Kata Kunci: Etnomatematika, Matematika, Budaya, Batik

An efficient algorithm for non-rigid object registration

An efficient algorithm for registration of two non-rigid objects based on geometrical transformation of the template object to target object is proposed. The transformation is considered as warping of the template onto the target. To choose the most suitable transformation from all possible warps, a registration algorithm should satisfy deformation constraints referred to as regularization of non-rigid objects. In this work, we use variational functionals for affine transformations. With the help of computer simulation, the proposed method for searching the optimal geometrical transformation is compared with that of common algorithms.

Students’ Spatial Reasoning in Solving Geometrical Transformation Problems

This study describes spatial reasoning of senior high school students in solving geometrical transformation problems. Spatial reasoning consists of three aspects: spatial visualization, mental rotation, and spatial orientation. The approach that is used in this study is descriptive qualitative. Data resource is the test result of reflection, translation, and rotation problems then continued by interview. Collecting data process involves 35 students. They are grouped to three spatial reasoning aspects then selected one respondent to be the most dominant of each aspect. The results of this study are: (1) the students with spatial visualization aspect used drawing strategy and non-spatial strategy in solving geometrical transformation problems. She transformed every vertex of the object and drew assistance lines which connect every vertex of the object to center point; (2) the students with mental rotation aspect used holistic and analytic strategies in solving geometrical transformation problems. Using holistic strategy means imagining the whole of transformational objects to solve easy problems. While using analytic strategy means transforming some components of objects to solve hard problems; (3) the students with spatial orientation didn’t involve mental imagery and she only could determine the position and orientation of the object in solving geometrical transformation problems