35 research outputs found
Score A Today / Thiru Selvan Devindran, Angela Tan Zhi Shinq and Lee Jin Cheng
Beginning from 21st century, education is much importance in our life. The development of science and technology has been widely used in different fields. Flexible use of technology can bring a lot of convenience to our lives. So, why not we bring in technology to education with some interesting colours and creative elements. Our system has many learning materials can be found according to personal needs. In addition, the website also provides other students to contribute their own notes and exercises. All the information will be reviewed by the administrator and then released. Therefore, this learning system is very comprehensive and positive. After applying our system: - More students are willing to learn. - Students can learn all the time. - If you encounter problems in schoolwork, you can discuss with everyone. - Students and parents can more easily know the progress and understanding of students in classes. - Save time because our system is simple to use and complete. Our system will achieve this by: - Administrator prepared notes, quiz and studies videos for the beginning of our system. - Personal account with personal information. - Complete social/chat system, like attendance and progress learning form. - Submission system. - AI system to check and mark students work. If the system can be successfully developed, this system can benefit all students, teachers and even parents. The system will be improved and strengthened at the future
Land use effect on butterfly alpha and beta diversity in the Eastern Himalaya, India
Conservation of biodiversity in agroecosystems is a global challenge as conversion of forest to agroecosystems has been one of the major causes for biodiversity loss through habitat transformation. The agroecosystems, especially those traditionally managed or organic, are reported to retain high biodiversity including endemic, specialists and conservation concern species. Among others, butterflies are the most vulnerable taxa reacting sensitively and rapidly to climate and habitat changes, and represent as bio-indicators to predict the health of an ecosystem. However, the assessment of land use effect on butterfly diversity has not yet been undertaken in the Eastern Himalayas. Therefore, this study was designed along agroecosystem-forest gradient to understand: the patterns of butterfly alpha diversity taking into account the variation across seasons, elevation, forest specialization and larval host specificity; the patterns of butterfly beta diversity; and plausible environmental determinants of butterfly alpha and beta diversity. We assessed the patterns of taxonomic alpha and beta diversity of butterflies and their determinants in the Indigenous Farming Systems (IFS) {large cardamom-based agroforestry systems (LCAS), mandarin orange-based agroforestry systems (MOAS) and farm-based agroforestry systems (FAS)} along with adjacent natural forests (Forests) in the study area during December 2012–August 2017. We recorded 268 species of butterflies from six families which included two-third forest specialists, one-third monophagous and one-fifth conservation concern species. Along the agroecosystem-forest gradient, alpha diversity of butterflies declined for total, forest specialists, monophagous and protected species. However, pair-wise beta diversity increased and the multiple beta diversity was dominated by substitution components. Alpha diversity was determined by tree species richness, tree density, canopy cover, elevation, mean annual precipitation (MAP), season, whereas tree species richness, tree density, tree basal area, canopy cover, elevation, mean annual temperature, and MAP influenced beta diversity. We also identified 15 indicator species dominated by forest specialists suitable for long term ecological monitoring program in the Eastern Himalaya. The organic and traditionally managed agroecosystems of Sikkim play a complementary role to the protected areas (PAs) in fostering biodiversity conservation and ecosystem service provision, especially in the areas with high human pressure and low PA and forest coverage
Soil carbon dynamics in Indian Himalayan intensified organic rice-based cropping sequences
The contribution of soil to supporting, regulating, provisioning and cultural functions as well as its role in the ecosystem services is well-known in the international literature. However, in the domain of organic agriculture, the impact of cropping systems shifts from cereal-cereal to high-frequency diversified cropping sequences with legume as a component crop on soil carbon dynamics is not widely known. In order to identify an alternative cropping system to widely prevalent rice-fallow production system in Himalayan region of India, seven cropping sequences viz., rice -fenugreek (green vegetable) - maize (R-F-M); rice -vegetable pea - maize (R-Vp-M); rice-coriander (leaves)-cowpea (R-C-Cp); rice - fenugreek (green vegetable) - baby corn (R-F-Bc); rice - broccoli - Sesbania (green manuring) (R-B-S); rice - buckwheat (R-Bw) and rice - maize (R-M) were assessed for five consecutive years from 2013 to 2018 for their productivity and resource conservation values. Results revealed that the inclusion of legumes in rice-based sequences increased the rice grain yield by 13.4 to 24.6% over R-M (3.13 Mg ha−1) sequence. The R-B-S sequence had the highest very labile carbon (VLC) (4.6 g kg−1 soil) followed by the R-Vp-M. Relative proportion of various organic carbon fractions in the top 10 cm soil followed the order of VLC (30.2%) > non labile carbon (NLC, 27.6%) > labile carbon (LC, 23.4%) > less labile carbon (LLC, 18.9%). The carbon management index (CMI) was the highest (100.9%) in the R-B-S sequence followed by R-C-Cp (98.0%). The addition of a third crop in the sequence increased the active carbon (AC) pool by 1.1 to 5.8%. The passive carbon (PC) pool was highest in soil under the R-C-Cp sequence (9.15 Mg ha−1) at 0–10 cm soil depth. The carbon retention efficiency under the R-C-Cp cropping sequence was the highest (15.1%) followed by the R-B-S (14.9%). R-B-S and R-C-Cp sequences had 12.5% and 10.6% higher soil microbial biomass carbon (SMBC) over the R-M sequence, respectively. Similarly, R-B-S and R-C-Cp increased the FDA by 49.6 and 41.8%, and DHA by 135.0% and 103.9%, respectively over R-M sequence. In conclusion, the management of crops from organic agriculture aimed at improving soil ecosystem services, in contrasting degradation of soil health and the decline of SOC, can also have positive effects on crop productivity in the eastern Himalayan region of India as well as all over the world
Sustainable AI:Tools for moving toward Green AI
In the era of big data and even bigger machine learning models powering the current generative AI revolution, the environmental footprint of these developments can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs—both environmental and economic—of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI. This essential read is for anyone in the machine learning field, from the academic researcher to the industry practitioner, who wants to make a meaningful impact on both their work and the world. This book enables readers to be agents of change toward a more sustainable and inclusive technological future
Engineering Education 2006 (EE2006)
Simulation technologies have become the corner stone of many training programs, from simple game–playing scenarios to totally immersive virtual reality simulators. However, many of these simple teaching aides merely tend to develop the manual dexterity of the learner. The game described in this paper develops the learner’s problem-solving skills and teamwork. The game under development is based on a simulated production line, constructing structures with Lego blocks. The game has three discrete phases; each with a briefing session, a production “run” and a debriefing session. It encourages observation and discussion of possible improvements required to increase productivity. This is achieved by the learning of good team interaction and the application of different problem-solving techniques. Initial feedback from students reveals that the simulated game provides a better method of observing the importance of team dynamics and the honing of problem solving skills
Preferential Use of Bamboos for Industrial Production of Incense Sticks
The incense stick or agarbatti stick is used exclusively for religious purposes in almost every home in India, but now it is being used worldwide for its medicinal values. Bamboo, popularly known as green gold or poor man’s timber, is a multipurpose, fast-growing woody species, which occupies an essential place in the people’s diverse phases of life and culture. The primary concern of the different stakeholders of the bamboo sector is identifying the right choice of raw material to maximize incense sticks’ production. On the other hand, the market functionaries take advantage of farmers’ lack of knowledge of the demand–supply situation and make substantial margin money. Therefore, the paper evaluates the preference for the notable species, age, and the part of the culm of bamboo used for the industrial production of incense sticks. In Tripura, India, the investigation indicated that all study parameters were significantly different among the species, viz., Bambusa polymorpha, Bambusa vulgaris, Bambusa cacherensis, Bambusa tulda, Bambusa balcooa, Melocanna baccifera, Dendrocalamus asper, and Dendrocalamus longispathus. Among the bamboo species, Bambusa tulda is the most preferred one having a mean Likert scale of 4.89, followed by Dendrocalamus longispathus (4.06), B. cacharensis (3.54), B. polymorpha (3.50), etc. The most preferred age of bamboo culm is three-year-old culm (4.32), followed by four- and two-year-old culms. Therefore, it can be concluded that the middle portion of three-year-old culms of B. tulda should be preferably harvested to become the raw material for the agarbatti industry for better outturn and profit
Simulation of optic flow based flight control for a flapping wing micro aerial vehicle
Bio-inspired flying micro drones, formally known as Flapping Wing Micro Aerial Vehicles (FWMAV) are a booming class of robots in today's world. Navigation and flight control of these drones is an interesting area of research that has become popular among roboticists and engineers due to its challenges. A bio-inspired optic flow based flight control system for FWMAV using six optic sensor was proposed earlier. However, there is not enough evidence to validate the control methodology discussed. This thesis presents a validation in the form of a flight simulator to test the optic flow based control strategy. The simulator consists of functional modules such as a kinematic module to generate the motion of the FWMAV based on inertia, external forces and torques, an optic sensor system module to generate the optic flow as perceived by the six optic sensor configuration, a flying environment to test the flight of the FWMAV and an optic flow based controller module to stabilise the aircraft in three dimensional space. Simulation results show that the optic flow based controller can successfully stabilise the FWMAV under normal flying conditions.Embedded SystemsSoftware and Computer TechnologyElectrical Engineering, Mathematics and Computer Scienc
