Papers by PRASANNAJIT DASH
Evolutionary algorithm for vehicle routing for shared e-bicycle battery replacement and recycling
Applied Soft Computing
2 local search around each newly found best known solution to improve accuracy. Experiments on te... more 2 local search around each newly found best known solution to improve accuracy. Experiments on test instances and real-world instances demonstrate the competitive performance of the proposed method.
SMART SURVEILLANCE MONITORING SYSTEM USING RASPBERRY PI AND PIR SENSOR
Systems Science & Control Engineering, 2020
In this paper, a novel swarm optimization approach, namely sparrow search algorithm (SSA), is pro... more In this paper, a novel swarm optimization approach, namely sparrow search algorithm (SSA), is proposed inspired by the group wisdom, foraging and anti-predation behaviours of sparrows. Experiments on 19 benchmark functions are conducted to test the performance of the SSA and its performance is compared with other algorithms such as grey wolf optimizer (GWO), gravitational search algorithm (GSA), and particle swarm optimization (PSO). Simulation results show that the proposed SSA is superior over GWO, PSO and GSA in terms of accuracy, convergence speed, stability and robustness. Finally, the effectiveness of the proposed SSA is demonstrated in two practical engineering examples.
EXPLORE, 2019
Earthing (also known as grounding) refers to the discovery that bodily contact with the Earth's n... more Earthing (also known as grounding) refers to the discovery that bodily contact with the Earth's natural electric charge stabilizes the physiology at the deepest levels, reduces inflammation, pain, and stress, improves blood flow, energy, and sleep, and generates greater well-being. Such effects are profound, systemic, and foundational, and often develop rapidly. Earthing is as simple as routinely walking barefoot outdoors and/or using inexpensive grounding systems indoors while sleeping or sitting, practices that restore a lost and needed electric connection with the Earth. Some 20 studies to date have reported intriguing evidence of wide and significant physiological improvements when the body is grounded vs. non-grounded. The research, along with numerous anecdotal reports, demonstrates that Earthing clearly deserves inclusion in the clinical practice of preventive, alternative, and lifestyle medicine and has great potential to render these approaches more effective.
IEEE Transactions on Evolutionary Computation, 2018
Surrogate-assisted evolutionary algorithms have been developed mainly for solving expensive optim... more Surrogate-assisted evolutionary algorithms have been developed mainly for solving expensive optimization problems where only a small number of real fitness evaluations are allowed. Most existing surrogate-assisted evolutionary algorithms are designed for solving low-dimensional single or multiobjective optimization problems, which are not well suited for many-objective optimization. This paper proposes a surrogateassisted many-objective evolutionary algorithm that uses an artificial neural network to predict the dominance relationship between candidate solutions and reference solutions instead of approximating the objective values separately. The uncertainty information in prediction is taken into account together with the dominance relationship to select promising solutions to be evaluated using the real objective functions. Our simulation results demonstrate that the proposed algorithm outperforms the state-of-the-art evolutionary algorithms on a set of manyobjective optimization test problems.
Sewage water is one of the sources that are responsible for many epidemic diseases. The Bioremedi... more Sewage water is one of the sources that are responsible for many epidemic diseases. The Bioremediation is green technique that reduces contaminates & nutrient from sewage water. The sewage under the influence of Eichhornia & Pistia species for twenty days shows a significant change in the concentration of impurities. The change was observed by Physico-chemical, Nutrients, Microbial Factors & Solid analysis with different interval of days. The percentage of nutrients and other parameters absorbed by Eichhornia was better than Pistia. The level of impurities was reduced by the remarkable amount by activated charcoal & alum treatment. Sewage is a water borne waste derived from home, animal house, food-processing industries, hotels, restaurants, hospitals, service stations, etc. It is recommended that Biofertilizer is not a substitute, but a supplement to chemical fertilizers for maximizing not only the yield but also agriculture system stability 1-3. Compost preparation is very popular...
We introduce an investigation that aims to evaluate the influence of the practice of regular phys... more We introduce an investigation that aims to evaluate the influence of the practice of regular physical activity in the adoption of healthy lifestyles and psychological well-being, in a sample of 183 students of the University of the Algarve, 94 regular physical activity practitioners and 89 who don´t. For the collection of data was applied a battery of instruments consisting of a Demographic Questionnaire and Physical Activity; by the Lifestyle Questionnaire (Carvalho & Cruz, 2006) and the Ryff's Scales of Psychological Well-being (Fernandes, 2007). Our results show that the subjects who practice regular physical activity adopt healthier lifestyles, as well as provide superior results in environmental mastery dimension in the psychological well-being. The analysis of the interaction between the values of the lifestyle, organized into three levels, and the psychological well-being, reveals that participants with higher scores present superior rates of psychological well-being, globally and in dimensions (environmental mastery, purpose in life and self-acceptance).
Intelligent system based on local linear wavelet neural network and recursive least square approach for breast cancer classification
Artificial Intelligence Review, 2011
ABSTRACT
We develop a health informatics toolbox that enables public health workers to timely analyze and ... more We develop a health informatics toolbox that enables public health workers to timely analyze and evaluate the time-course dynamics of the novel coronavirus (COVID-19) infection using the public available data from the China CDC. This toolbox is built upon a hierarchical epidemiological model in which two observed time series of daily proportions of infected and removed cases are emitted from the underlying infection dynamics governed by a Markov SIR infectious disease process. We extend the SIR model to incorporate various types of time-varying quarantine protocols, including government-level macro isolation policies and community-level micro inspection measures. We develop a calibration procedure for under-reported infected cases. This toolbox provides forecast, in both online and offline forms, of turning points of interest, including the time when daily infected proportion becomes smaller than the previous ones and the time when daily infected proportions becomes smaller than tha...
Mining for similarities in time series data using wavelet-based feature vectors and neural networks
Engineering Applications of Artificial Intelligence, 2007
... To distinguish and finding the similarity between nonstationary disturbance signal patterns l... more ... To distinguish and finding the similarity between nonstationary disturbance signal patterns like sag, swell, oscillatory transients, impulsive transients, notch ... network time series data in recent years especially in classification of electricity supply quality disturbances (Santoso et al ...
Sound Can Go Faster than Light using S-Transform and Fuzzy Expert System
International Journal of Computer Applications
This paper presents new approach for time series data classification using Fuzzy Expert System (F... more This paper presents new approach for time series data classification using Fuzzy Expert System (FES). In the proposed study, the power disturbance signals are considered as time series data for testing the designed FES. Initially the time series data are pre-processed through the advanced signal processing tool such as S-transform and various statistical features are extracted, which are used as inputs to the FES. The FES output is optimized i1sing Particle Swann Optimization (PSO) to bring the output to distinct classification level. Both Gaussian and trapezoidal membership functions are selected for designing the proposed FES arid the performance measure is derived by comparing the classification rates for the time series data without noise and with noise up to SNR 20 db. The proposed algorithm provides accurate classification rates even under noisy conditions compared to the existing techniques, which shows the efficacy and robustness of the proposed algorithm for time series data classification.
Indian Journal of Computer Science and …, 2011
Recent years showed a wide range of applications in Wireless Sensor Networks (WSN). For a WSN, To... more Recent years showed a wide range of applications in Wireless Sensor Networks (WSN). For a WSN, Topology Control is crucial to obtain an energy efficient network without affecting the connectivity and other properties. In this paper the sequence of strategies carried out to obtain a better scheme for a topology control in terms of energy is discussed. The results showed the effectiveness of the different approaches proposed. Comparison on one tier architecture and two tier architecture using the proposed methodology is also made. The future works discussed also gives a wider vision on the probabilities of the various schemas for the forthcoming years.
Optimized Photogrammetric Network Design with Flight Path Planner for UAV-Based Terrain Surveilla... more Optimized Photogrammetric Network Design with Flight Path Planner for UAV-Based Terrain Surveillance Ivan Y. Rojas Department of Chemical Engineering, BYU Master of Science This work demonstrates the use of genetic algorithms as a stochastic optimization technique for developing a camera network design and the flight path for photogrammetric applications using Small Unmanned Aerial Vehicles. This study develops a Virtual Optimizer for Aerial Routes (VOAR) as a new photogrammetric mapping tool for acquisition of images to be used in 3D reconstruction. 3D point cloud models provide detailed information on infrastructure from places where human access may be difficult. This algorithm allows optimized flight paths to monitor infrastructure using GPS coordinates and optimized camera poses ensuring that the set of images captured is improved for 3D point cloud development. Combining optimization techniques, autonomous aircraft and computer vision methods is a new contribution that this wo...
International Journal of Grid and Distributed Computing, 2018
Load frequency control (LFC) is one of the key issues in the operation of power systems under der... more Load frequency control (LFC) is one of the key issues in the operation of power systems under deregulated conditions. In this paper Grey-Wolf Optimization (GWO) algorithm is implemented in optimal tuning of Proportional, Integral and Derivative (PID) controller with Integral Time Absolute Error (ITAE) based fitness function. The performance of this system is tested under different market conditions like Poolco, Bilateral and contract violation scenarios. Here we consider Distribution company (DISCO) Participation Matrix (DPM) and Area Participation Matrix (APM) in order to incorporate the market dynamics. Also Generation Rate Constraints (GRC) and external load disturbances are also taken into account. The analysis and simulations is carried out in interconnected two-area deregulated power system and the effectiveness is compared with Genetic Algorithm (GA) tuned PID controller. The comparative results are presented which shows the superiority of proposed GWO algorithm.
Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics -, 1999
This paper describes recent progress and the author's perspectives of speech recognition technolo... more This paper describes recent progress and the author's perspectives of speech recognition technology. Applications of speech recognition technology can be classified into two main areas, dictation and human-computer dialogue systems.
Ant Colony Optimization – A Prologue
Swarm intelligence has been successfully applied in various domains. One of the most popular tech... more Swarm intelligence has been successfully applied in various domains. One of the most popular techniques of swarm intelligence uses Ant Colony Optimization (ACO) algorithms to solve continuous or mixed discrete-continuous variable optimization problems. This article starts by formally deriving the evolutionary dynamics of ant colony optimization, an important swarm intelligence algorithm. Ants of the artificial colony are able to generate successively shorter feasible path by using information accumulated in the form of a pheromone trail. Ant colony optimization is already used in too many areas from graph related problems to the medical problem and study of Genomics to communication networks etc.
International Journal of Modern Education and Computer Science, 2013
Ant Algorithms are techniques for optimizing which were coined in the early 1990"s by M. Dorigo. ... more Ant Algorithms are techniques for optimizing which were coined in the early 1990"s by M. Dorigo. The techniques were inspired by the foraging behavior of real ants in the nature. The focus of ant algorithms is to find approximate optimized problem solutions using artificial ants and their indirect decentralized communications using synthetic pheromones. In this paper, at first ant algorithms are described in details, then transforms to computational optimization techniques: the ACO metaheuristics and developed ACO algorithms. A comparative study of ant algorithms also carried out, followed by past and present trends in AAs applications. Future prospect in AAs also covered in this paper. Finally a comparison between AAs with well-established machine learning techniques were focused, so that combining with machine learning techniques hybrid, robust, novel algorithms could be produces for outstanding result in future.
Sensors (Basel, Switzerland), Jan 25, 2013
This paper presents a bio-inspired networking strategy to support the cooperation between static ... more This paper presents a bio-inspired networking strategy to support the cooperation between static sensors on the ground and mobile sensors in the air to perform surveillance missions in large areas. The goal of the proposal is to provide low overhead in the communication among sensor nodes, while allocating the mobile sensors to perform sensing activities requested by the static ones. Simulations have shown that the strategy is efficient in maintaining low overhead and achieving the desired coordination.
International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2014
Nowadays, the remote Home Automation turns out to be more and more significant and appealing. It ... more Nowadays, the remote Home Automation turns out to be more and more significant and appealing. It improves the value of our lives by automating various electrical appliances or instruments. This paper describes GSM (Global System Messaging) based secured device control system using App Inventor for Android mobile phones. App Inventor is a latest visual programming platform for developing mobile applications for Android-based smart phones. The Android Mobile Phone Platform becomes more and more popular among software developers, because of its powerful capabilities and open architecture. It is a fantastic platform for the real world interface control, as it offers an ample of resources and already incorporates a lot of sensors. No need to write programming codes to develop apps in the App Inventor, instead it provides visual design interface as the way the apps looks and use blocks of interlocking components to control the app's behaviour. The App Inventor aims to make programming enjoyable and accessible to novices.
Traveling Salesman Problem, 2008
Uploads
Papers by PRASANNAJIT DASH