Multi objective evolutionary optimization in uncertain environments

Master'sMASTER OF ENGINEERIN

Driver-centered pervasive application for heart rate measurement

People spend a significant amount of time daily in the driving seat and some health complexity is possible to happen like heart-related problems, and stroke. Driver’s health conditions may also be attributed to fatigue, drowsiness, or stress levels when driving on the road. Drivers’ health is important to make sure that they are vigilant when they are driving on the road. A driver-centered pervasive application is proposed to monitor a driver’s heart rate while driving. The input will be acquired from the interaction between the driver and embedded sensors at the steering wheel, which is tied to a Bluetooth link with an Android smartphone. The driver can view his historical data easily in tabular or graph form with selected filters using the application since the sensor data are transferred to a real-time database for storage and analysis. The application is coupled with the tool to demonstrate an opportunity as an aftermarket service for vehicles that are not equipped with this technology

Improving Sparse Representation-Based Classification Using Local Principal Component Analysis

Sparse representation-based classification (SRC), proposed by Wright et al., seeks the sparsest decomposition of a test sample over the dictionary of training samples, with classification to the most-contributing class. Because it assumes test samples can be written as linear combinations of their same-class training samples, the success of SRC depends on the size and representativeness of the training set. Our proposed classification algorithm enlarges the training set by using local principal component analysis to approximate the basis vectors of the tangent hyperplane of the class manifold at each training sample. The dictionary in SRC is replaced by a local dictionary that adapts to the test sample and includes training samples and their corresponding tangent basis vectors. We use a synthetic data set and three face databases to demonstrate that this method can achieve higher classification accuracy than SRC in cases of sparse sampling, nonlinear class manifolds, and stringent dimension reduction.Comment: Published in "Computational Intelligence for Pattern Recognition," editors Shyi-Ming Chen and Witold Pedrycz. The original publication is available at http://www.springerlink.co

Effects of selected plants against rice weevil (sitophilus oryzae)

Rice weevils (Sitophilus oryzae) have caused significant damage and losses in rice storage. The use of chemical pesticides to control them has had negative environmental effects and limited efficacy. To address this issue, natural plant-based insect-control alternatives were investigated. This study aimed to assess the effectiveness of (Pandanus amaryllifolius), kaffir lime leaves (Citrus hystrix), and “asam gelugor” (Garcinia atroviridis) in repelling, inhibiting feeding, and reducing the offspring of rice weevils. Plant samples were extracted using the soxhlet extraction method, and the crude extracts were concentrated using a rotary evaporator. The extract solutions were then tested for their effects on rice weevils. The results showed that pandan leaves were the most effective, with a repellency percentage of 46.67% and a better anti-progeny effect of 2.175%. Kaffir lime leaves had no effect on rice weevils, while asam keping only showed an anti-progeny effect of 6.525%. The study revealed that low concentrations (0.002 - 0.006 g/mL) of insecticides from pandan extracts could provide a repellency effect against rice weevils. Therefore, plant extracts from Pandanus can be used as botanical insecticides to manage S. oryzae infestations

Effects of selected plants against rice weevil (Sitophilus oryzae)

Rice weevils (Sitophilus oryzae) have caused significant damage and losses in rice storage. The use of chemical pesticides to control them has had negative environmental effects and limited efficacy. To address this issue, natural plant-based insect-control alternatives were investigated. This study aimed to assess the effectiveness of (Pandanus amaryllifolius), kaffir lime leaves (Citrus hystrix), and “asam gelugor” (Garcinia atroviridis) in repelling, inhibiting feeding, and reducing the offspring of rice weevils. Plant samples were extracted using the soxhlet extraction method, and the crude extracts were concentrated using a rotary evaporator. The extract solutions were then tested for their effects on rice weevils. The results showed that pandan leaves were the most effective, with a repellency percentage of 46.67% and a better anti-progeny effect of 2.175%. Kaffir lime leaves had no effect on rice weevils, while asam keping only showed an anti-progeny effect of 6.525%. The study revealed that low concentrations (0.002 - 0.006 g/mL) of insecticides from pandan extracts could provide a repellency effect against rice weevils. Therefore, plant extracts from Pandanus can be used as botanical insecticides to manage S. oryzae infestations

Effects of Selected Plants Against Rice Weevil (Sitophilus oryzae)

Rice weevils (Sitophilus oryzae) have caused significant damage and losses in rice storage. The use of chemical pesticides to control them has had negative environmental effects and limited efficacy. To address this issue, natural plant-based insect-control alternatives were investigated. This study aimed to assess the effectiveness of (Pandanus amaryllifolius), kaffir lime leaves (Citrus hystrix), and “asam gelugor” (Garcinia atroviridis) in repelling, inhibiting feeding, and reducing the offspring of rice weevils. Plant samples were extracted using the soxhlet extraction method, and the crude extracts were concentrated using a rotary evaporator. The extract solutions were then tested for their effects on rice weevils. The results showed that pandan leaves were the most effective, with a repellency percentage of 46.67% and a better anti-progeny effect of 2.175%. Kaffir lime leaves had no effect on rice weevils, while asam keping only showed an anti-progeny effect of 6.525%. The study revealed that low concentrations (0.002 - 0.006 g/mL) of insecticides from pandan extracts could provide a repellency effect against rice weevils. Therefore, plant extracts from Pandanus can be used as botanical insecticides to manage S. oryzae infestations

Recent Advancement of Sustainable and Renewable Energy in Osmotic Power Generation

Investment in clean energy is demand in this century due to abundance of CO2 accumulation in the world to cause several environmental issues. Therefore, harvesting clean energy may assist in reducing carbon footprint in the world to create a green environment for sustainable living. The salinity gradient energy is one of the clean energies with the concept of mixing both salt concentration water from the ocean and fresh water from the river to create an osmotic pressure to power-up the generator for the production of electrical energy. Salinity different between the oceanic salt water and fresh water could produce an equilibrium osmotic pressure that achieve up to 27 bars equivalent from resulting pressure under the water for 200 to 300 meters. The potential of the power production through osmosis power generator is capture at the value of 2000 TWh per year, where in 2018 the world energy consumption was growing 2.3%, in which twice the number compare to the average rate of the growth. The major energy consumption is contributed from fossil fuel and consequently resulted from emissions of CO2 increased to 33.1 Gt to the atmosphere. This work explained the advantage of using salinity gradient energy and the fundamental principle of blue energy from pressure-retarded osmosis (PRO). Thus, the osmotic power by using different salinity gradient to create energy is widely known as blue energy, in which it is green and sustainable to produce electricity to the local communities

The genome sequence of the orchid Phalaenopsis equestris

Orchidaceae, renowned for its spectacular flowers and other reproductive and ecological adaptations, is one of the most diverse plant families. Here we present the genome sequence of the tropical epiphytic orchid Phalaenopsis equestris, a frequently used parent species for orchid breeding. P. equestris is the first plant with crassulacean acid metabolism (CAM) for which the genome has been sequenced. Our assembled genome contains 29,431 predicted protein-coding genes. We find that contigs likely to be underassembled, owing to heterozygosity, are enriched for genes that might be involved in self-incompatibility pathways. We find evidence for an orchid-specific paleopolyploidy event that preceded the radiation of most orchid clades, and our results suggest that gene duplication might have contributed to the evolution of CAM photosynthesis in P. equestris. Finally, we find expanded and diversified families of MADS-box C/D-class, B-class AP3 and AGL6-class genes, which might contribute to the highly specialized morphology of orchid flowers. (Résumé d'auteur