GRAPHENE QUANTUM DOTS AS A REDUCING REAGENT AND STABILIZER FOR GREEN SYNTHESIS OF SILVER NANOPARTICLES: TOWARDS A HYDROGEN PEROXIDE AND GLUCOSE SENSOR

In this work, we have developed a simple method for preparation of silver nanoparticles/graphene quantum dots hybrid (AgNPs/GQDs) using graphene quantum dots (GQDs) as reducing reagent and stabilizer. The synthesized GQDs and AgNPs/GQDs hybrid have been characterized by ultraviolet–visible spectroscopy (UV-Vis), photoluminescence (PL), X-ray diffraction (XRD) and transmission electron microscopy (TEM). Results indicated that mono-dispersed AgNPs were obtained with particles size around 30 nm. Based on the etching of silver nanoparticles by hydrogen peroxide (H2O2), we have constructed a colorimetric sensor for H2O2 and glucose sensors basing on the use of AgNPs/GQDs hybrid as capture probe and signal probe. The fabricated sensors performed excellent sensitivity and selectivity, high reproducibility for H2O2 and glucose detection with a low detection limit of 100 nM and 0.1 mM for hydrogen peroxide and glucose, respectively

Improving Machine Translation Quality with Denoising Autoencoder and Pre-Ordering

The problems in machine translation are related to the characteristics of a family of languages, especially syntactic divergences between languages. In the translation task, having both source and target languages in the same language family is a luxury that cannot be relied upon. The trained models for the task must overcome such differences either through manual augmentations or automatically inferred capacity built into the model design. In this work, we investigated the impact of multiple methods of differing word orders during translation and further experimented in assimilating the source languages syntax to the target word order using pre-ordering. We focused on the field of extremely low-resource scenarios. We also conducted experiments on practical data augmentation techniques that support the reordering capacity of the models through varying the target objectives, adding the secondary goal of removing noises or reordering broken input sequences. In particular, we propose methods to improve translat on quality with the denoising autoencoder in Neural Machine Translation (NMT) and pre-ordering method in Phrase-based Statistical Machine Translation (PBSMT). The experiments with a number of English-Vietnamese pairs show the improvement in BLEU scores as compared to both the NMT and SMT systems

Astaxanthin Production by Newly Isolated Rhodosporidium toruloides: Optimization of Medium Compositions by Response Surface Methodology

Astaxanthin is a valuable carotenoid pigment, which has been extensively used in various industries. In this study, Rhodosporidium toruloides was first used as a new microbial source for producing natural astaxanthin. Various carbon, nitrogen, and mineral sources were evaluated for their effect on astaxanthin production of R. toruloides. Response surface methodology (RSM) was then used to optimize the medium compositions for maximizing the astaxanthin concentration. Among the examined nutrients, glucose, peptone, and KH2PO4 were the most efficient carbon, nitrogen, and mineral source for astaxanthin production, respectively. Through RSM, a maximum astaxanthin concentration of 927.11 µg l-1 was obtained by using Hansen broth containing 83.74 g l-1 glucose, 20.01 g l-1 peptone, and 6.19 g l-1 KH2PO4. This study suggested that R. toruloides is a promising candidate to produce natural astaxanthin

Stable control of networked robot subject to communication delay, packet loss, and out-of-order delivery

Stabilization control of networked robot system faces uncertain factors caused by the network. Our approach for this problem consists of two steps. First, the Lyapunov stability theory is employed to derive control laws that stabilize the non-networked robot system. Those control laws are then extended to the networked robot system by implementing a predictive filter between the sensor and controller. The filter compensates influences of the network to acquire accurate estimate of the system state and consequently ensures the convergence of the control laws. The optimality of the filter in term of minimizing the mean square error is theoretically proven. Many simulations and experiments have been conducted. The result confirmed the validity of the proposed approach

Geometrically nonlinear and dynamic analysis of Euler-Bernoulli beams using isogeometric approach

This paper presents a numerical procedure for geometrically nonlinear and dynamic analysis of Euler-Bernoulli beams based on the framework of isogeometric approach. The method utilizes B-spline as the basis functions for both geometric representation and analysis. Only one deflection variable (without rotational degrees of freedom) is used for each control point. It allows us to use few degrees of freedom while retaining high accuracy of solution. Two numerical examples are provided to illustrate the effectiveness of present method

Static and dynanic analysis of composite plate using the C0-type higher-order shear deformation theory

This paper presents a novel numerical procedure based on edge-based smoothed finite element method (ES–FEM) in combination with the C0-type higher-order shear deformation theory (HSDT) for static and dynamic analysis of laminated composite plate. In the present ES–FEM, only the linear approximation is necessary and the discrete shear gap method (DSG) for triangular plate elements is used to avoid the shear locking and spurious zero energy modes. In addition, the stiffness matrices are computed based on smoothing domains associated with the edges of the triangular elements through a strain smoothing technique. Using the C0-type HSDT, the shear correction factors in the original ES-DSG3 can be removed and replaced by two additional degrees of freedom at each node. Several numerical examples are given to show the performance of the proposed method and results obtained are compared to other available ones

Active fault-tolerance of the unmanned aerial vehicle automatic control systems

This paper presents an introductory overview of principles of the three-layer hierarchy of active fault-tolerance, providing, determination of the fault type with as many details as enough to get recoverable fault reason and failure toleration by flexible redundancy using; the conception of active fault-tolerant control in abnormal modes is described. Developed models and methods of a systematic approach to fault tolerance in the direction of the effective use of the signal, parametric and structural redundancies and selection of parrying tools. Performed experimental researches of the unmanned aerial vehicle (UAV) automatic control systems (ACS)

Thermal buckling analysis of laminated composite plates using edge-based smoothed discrete shear gap method

In this paper, we analyze a thermal buckling behavior of laminated composite plates based on first-order shear deformation theory (FSDT) using edge-based smoothed discrete shear gap method (ES–DSG). In the ES-DSG, only the linear approximation is necessary and the discrete shear gap method (DSG) for triangular plate elements is used to avoid the shear locking and spurious zero energy modes. In addition, the stiffness matrices are computed based on smoothing domains created by connecting two end-nodes of the edge to centroids of adjacent triangular elements. The temperature in the plates is assumed to be uniform distribution and rise. Several numerical examples are given to verify the reliability of the obtained results compared to other published solutions

Pengembangan Buku Ajar Mata Kuliah Bahasa Indonesia Untuk Mahasiswa STMIK Palangka Raya

Penelitian ini bertujuan mendeskripsikan proses perkuliahan Bahasa Indonesia di STMIK Palangka Raya, mengembangkan buku ajar mata kuliah Bahasa Indonesia yang sesuai dengan capaian kompetensi lulusan STMIK Palangka Raya, dan mengevaluasi validitas, efektivitas, serta kepraktisan buku ajar tersebut. Metode yang digunakan adalah Research and Development dengan menganalisis kebutuhan kemudian mengembangkan produk dan diuji validitas, efektivitas, dan kepraktisanya hingga diperoleh produk final. Produk yang dikembangkan adalah buku ajar mata kuliah Bahasa Indonesia untuk mahasiswa STMIK Palangka Raya. Hasil analisis menunjukkan buku ajar validitas sebesar 93%, efektif kerena sebesar 92,67% mahasiswa tuntas KKM, dan praktis karena mahasiswa sebesar 87,33% merespon keterterapan produk dengan baik, serta 89,60% praktisi merespon dengan baik saat diterapkan. Buku ajar ini memiliki keterterapan yang tinggi karena memiliki validitas yang tinggi pula. Buku ajar yang dikembangkan juga memiliki efektivitas yang baik, karena memiliki validitas yang tinggi dan kepraktisan yang tinggi pula. Dengan kepraktisan buku ajar yang tinggi, maka belajar materi Bahasa Indonesia akan lebih mudah.Disarankan agar dosen dapat menerapkan buku ajar Bahasa Indonesia untuk mahasiswa STMIK Palangka Raya guna membekali mahasiswa untuk cakap menerapkan kaidah-kaidah Bahasa Indonsia yang baik dan benar, dalam bidang ilmu pengetahuan dan teknologi maupun dalam kehidupan sehari-hari