High-Gain Observer–Based Sliding Mode Control of Multimotor Drive Systems

Multimotor drive systems have been widely used in many modern industries. It is a nonlinear, multi-input, multi-output (MIMO) and strong-coupling complicated system, including the effect of friction, elastic, and backlash. The control law for this drive system much depends on the determining of the tension. However, it is hard to obtain this tension in practice by using a load cell or a pressure meter due to the accuracy of sensors or external disturbance. In order to solve this problem, a high-gain observer is proposed to estimate the state variables in this drive system, such as speeds and tension. An emerging proposed technique in the control law is the use of high-gain observers together with adaptive sliding mode control scheme to obtain a separation principle for the stabilization of whole system. The theory analysis and simulation results point out the good effectiveness of the proposed output feedback for the drive system

Gene Family Abundance Visualization based on Feature Selection Combined Deep Learning to Improve Disease Diagnosis

Advancements in machine learning in general and in deep learning in particular have achieved great success in numerous fields. For personalized medicine approaches, frameworks derived from learning algorithms play an important role in supporting scientists to investigate and explore novel data sources such as metagenomic data to develop and examine methodologies to improve human healthcare. Some challenges when processing this data type include its very high dimensionality and the complexity of diseases. Metagenomic data that include gene families often have millions of features. This leads to a further increase of complexity in processing and requires a huge amount of time for computation. In this study, we propose a method combining feature selection using perceptron weight-based filters and synthetic image generation to leverage deep-learning advancements in order to predict various diseases based on gene family abundance data. An experiment was conducted using gene family datasets of five diseases, i.e. liver cirrhosis, obesity, inflammatory bowel diseases, type 2 diabetes, and colorectal cancer. The proposed method provides not only visualization for gene family abundance data but also achieved a promising performance level

Diterpenoids from Fokienia hodginsii.

In continuous research on the chemical constituents of the twigs and leaves of Fokienia hodginsii (Dunn) A. Henry et Thomas growing in Highland, Lam Dong province 4 diterpenoids, including 3-oxo-totarol (totarolone, 1), 3β-hydroxytotarol (2), 15-nor-labda-8(17),12E-diene-14-carboxaldehyde-19-oic acid (3) and 13-oxo-15,16-dinorlabda-8(17),11E-diene-19-oic acid (4) were isolated. Their structures were elucidated by the spectroscopic methods and comparison with reported data. This is the first report on the isolation of compounds 1, 2 and 3 from this plant. Keywords. Fokienia hodginsii; totarane; nor-labdane diterpenoid

Terpenoids from Dacrycarpus imbricatus.

The phytochemical investigation of the hexane extract from the twigs and leaves of Dacrycarpus imbricatus (Blume) de Laub led to the isolation of a rare sesquiterpene, spathulenol (1) along with three diterpenes named pimaric acid (2), trans-communic acid (3) and cis-communic acid (4). Their structures were determined by combination of spectral analysis and comparison with reported data. This is the first report on isolation of compound 1 from the Podocarpaceae family. Keywords. Dacrycarpus imbricatus, spathulenol, pimaric acid, communic acid

Economic integration and natural forest management: the case study of East-West economic corridor establishment in Vietnam and Laos

East—West economic Corridor (EWEC) is an economic development program initiated at the Greater Mekong Subregion (GMS) in Manila, the Philippines to promote development and integration of four Southeast Asia Countries, Myanmar, Thailand, Laos and Vietnam. Despite its significant contribution to socio-economic development of the GMS since 2006, EWEC has caused negative impacts on natural resources, particularly forest coverage. This paper analyses the role of EWEC in production and transportion, especially agricultural output to domestic and nternational markets, and the sharp decline in forest area along the Corridor

An Improvement of Type-2 Fuzzy Clustering Algorithm for Visual Fire Detection

Abstract: This paper presents a novel approach for visual fire detection by modelling the spatial structure of fire, this structure is considered in terms of the color intensity of fire-color pixels. To model this structure, the authors uses an interval type-2 fuzzy clustering algorithm with some modification to separate fire-color pixels into some clusters, then these clusters are used to model the structure of fire. Experimental results show that our method is capable of detecting fire in early state and in the weak light-intensity environment. In addition, this method evaluates the structure of fire from a single image, so it can be integrated into the surveillance system or applied in automated retrieval of events in newscast videos in which the camera is dynamic

Economic integration and natural forest management: the case study of East-West economic corridor establishment in Vietnam and Laos

East—West economic Corridor (EWEC) is an economic development program initiated at the Greater Mekong Subregion (GMS) in Manila, the Philippines to promote development and integration of four Southeast Asia Countries, Myanmar, Thailand, Laos and Vietnam. Despite its significant contribution to socio-economic development of the GMS since 2006, EWEC has caused negative impacts on natural resources, particularly forest coverage. This paper analyses the role of EWEC in production and transportion, especially agricultural output to domestic and international markets, and the sharp decline in forest area along the Corridor

East-West economic corridor

The East–West Economic corridor (EWEC) is an economic development program initiated to promote development and integration of four Southeast Asian countries: Myanmar, Thailand, Laos and Vietnam. The concept was agreed upon in 1998 at the Ministerial Conference of the Greater Mekong Subregion, organized in Manila, the Philippines. The corridor became operational on December 12, 2006. The backbone of the corridor is a road of 1,450 km with the west end at port city of Mawlamyine (Myanmar), crossing Kayin Division, the Thai provinces of Tak, Sukhothai, Phitsanulok, Phetchabun, Khon Kaen, Kalasin and Mukdahan, the Laotian provinces of Savannakhet, and the Vietnamese provinces of Qu ng Tr , Thua Thien–Hue Province with Da Nang city as the east end

Deep Level Markov Chain Model for Semantic Document Retrieval

The task of researching and developing information retrieval systems is becoming important in the big data age. Current search methods try to mention to fast searching based on keyword matching or similar semantic between query and documents but have not got a really effective engine for semantic search . In this paper, we propose a method for information retrieval based on probability inference with the DLMC model to search by semantic equivalents and a topic word with score for fast searching. Results of the experimental with 952 Vietnamese documents show that our method is really effective for Vietnamese document retrieval system