Simulation Model for Evaluating the Response of Management Options on the Demersal Resources of Tamil Nadu Coast

The response of different management options on demersal fish catch in Tamil Nadu was examined using simulation model and time series data on catch and effort of demersal resources in Tamil Nadu during 1989-2005. For the simulation study surplus, production model and spectral models were used to simulate effort, yield and biomass. Genetic algorithm was used to estimate parameters of surplus production model. Effort, biomass and yield were simulated for the period 2006 to 2015 under different levels of effort such as reducing by 25%, 50%, and 75% of present level increasing by 25%, 50%, 75% and 100% of present level and also for the present level. The simulation results revealed that when the level of exploitation is kept at 25%, 50%, 75%, and 100% of the present level, the yield falls below the maximum sustainable yield (MSY) level and the biomass is kept above its MSY level. When the exploitation level is increased by 25% of the present level of exploitation, the yield falls below the MSY level in the years up to 2013 and the biomass remains above that at MSY level. But at this level of exploitation, the yield falls above the MSY level and the biomass falls below its MSY level for the years 2014 and 2015. The optimum exploitation level was worked out as 91.25% of the present level of exploitation

An Implementing A Continuous Authentication Protocol To Improve Robustness Security Threats On IoT Using ESP8266

The Internet of Things (IoT) is a network of physical things that are outfitted with sensors, software, and other technologies that are able to communicate and exchange data with other devices and systems over the Internet. Because of the diversity of their surroundings, IoT systems are sensitive to network attacks. The IoT could be the source of these dangers and attacks. There are a lot of devices that communicate with each other via the IoT, and one of the most critical components of this is to maintain IoT security. IoT devices are a prime target for attackers and pose a serious risk of impersonation during a call. Proposals to prevent session hijacking in device-to-device communication are made in this research study. User-to-device authentication relies on usernames and passwords, but continuous authentication doesn't. This protocol relies on device features and contextual information. Moreover, this protocol reduces the synchronization losses using shadow IDs and emergency key. In addition, the protocol’s robustness will be tested by providing security and performance analysis

An introduction to R programming

R language is the GNU arm of S language, which has taken the computational world by storm in the last decade. Starting as a compendium of statistical tools, this language has grown up into a canopy lording over a research analysis environment thereby subsuming many hitherto complicated manoeuvres onto the realms of syntactical simplicity. As this an exponentially expanding field of development with ever exploding information downpour, it would be a near impossible task to frame it onto a short simple foundational discourse. However in the subsequent sections we would try to view the potential and the extent of practicality we would unravel the hidden features of the software through a GUI envelop also apart from the regular console and syntax based one. To get its power more understandable we would visualize its forays into the field of analytics using medium scale examples from marine fisheries data

Novel Selective Mapping with Oppositional Hosted Cuckoo Optimization Algorithm for PAPR Reduction in 5G UFMC Systems

In recent times, there is a continuous requirement of achieving high data rates owing to an increase in the number of devices and significant demand for various services with maximum reliability and minimum delay. It results in the development of fifth generation (5G) to offer better services with enhanced data rate. Recently, a major alternative to OFDM technology for 5G networks called universal filtered multi-carrier (UFMC) is presented where every individual sub-band is filtered that reduces the OOB radiation and eliminates guard band. But high peak-to-average power ratio (PAPR) is a crucial issue which arises from the utilization of several subcarriers to generate the time domain transmission signal. For resolving this issue, this paper presents a novel selective mapping with oppositional hosted cuckoo optimization (SM-OHOCO) algorithm for PAPR reduction in 5G UFMC systems. In the SM-OHOCO algorithm, rather than the generation of several random phase sequences, SM-OHOCO algorithm is performed iteratively to attain a better solution with few searching rounds, showing the novelty of the work. As the optimization of phase sequence in the SLM technique is considered as an NP hard optimization problem, the OHOCO algorithm is applied, which is derived by incorporating the concepts of the HOCO algorithm with oppositional based learning (OBL) strategy. To validate the effective performance of the proposed SM-OHOCO algorithm, an extensive experimental analysis is performed to highlight the improved performance in 5G networks. The resultant values pointed out the superior outcome of the proposed SM-OHOCO algorithm over the other existing methods in terms of distinct measure

Indian marine fishery resources: optimistic present, challenging future

Marine fish production from capture fisheries in India has increased by about six fold during the past six decades. Export earnings from the marine sector crossed 12,000 crores in 2010-11 and gross revenue through marine fish landings at the point of first sales was about 20,000 crores. Marine products are now exported from India to nearly 100 countries. Monitoring the harvest of different marine fishery resources is very much essential for planning and implementing policies for sustained production from the sea. The dynamic changes in the landings of marine fishery resources over the last six decades were examined after classifying them into 26 different resource groups. Decadal averages of landings of different resource groups were compared using Student’s t test and coefficient of variation was worked out for each decade. Present status of each resource group was examined separately based on a simple criterion. Out of the 26 groups examined, 18 were found to be under the ‘abundant class, 5 under ‘less abundant’ class and one each under ‘declining’, ‘depleted’ and ‘collapsed’ classes. Elasmobranchs, threadfins, ribbonfishes, mullets and flatfishes are the five resource groups falling under ‘less abundant’ class. White fish falls under ‘declining’ class, flying fishes under ‘depleted’ class and unicorn cod under ‘collapsed’ class. All the other groups fall under the ‘abundant’ class indicating that most of the resources (73%) are in healthy condition. The ‘depleted’ and ‘collapsed’ classes require management interventions for the recovery of the resources and the group falling under ‘declining’ class needs caution and care to prevent further reduction in the stock

Marine Fisheries Policy Brief-2; Seasonal Fishing Ban

Fishery resources need to be monitored and managed to maintain harvest at sustainable levels as they provide food and livelihood security to millions of population. Management of fisheries is not confined to management of stocks alone but it should consider all the stakeholders associated with the sector directly or indirectly such as fishers, traders, those involved in post-harvest operations and those who provide support services to the sector. Besides, fish stocks live in a highly variable and a complex ecosystem and are affected by human interventions and vagaries of nature, which emphasises the need for including the risk and uncertainty factors in the management strategie

Abating coastal pollution for protecting environment in ecologically sensitive area of Astaranga, Puri district, Odisha

Pir Jahania, the famous shrine situated in the shore of Bay of Bengal and its scenic beach attract many tourists for their religious sentiment and as a beautiful picnic spot. The green cover of casuarinas, good mangrove vegetation and the mass nesting site of Olive ridley (Lepidochelys olivacea) turtles are the specialty of this place. In spite of constant efforts by the forest department of Puri, continuous human interference deteriorates the environment with plastic pollution and other non-biodegradable materials like stray foam, thermocol, glass bottles turning the protection of the same as a major concern for the environmentalists. Puri Field Centre of ICAR-CMFRI along with forest department of Puri thus decided to make an awareness programme on plastic pollution in this tourist place

AeGAN: Time-Frequency Speech Denoising via Generative Adversarial Networks

Automatic speech recognition (ASR) systems are of vital importance nowadays in commonplace tasks such as speech-to-text processing and language translation. This created the need for an ASR system that can operate in realistic crowded environments. Thus, speech enhancement is a valuable building block in ASR systems and other applications such as hearing aids, smartphones and teleconferencing systems. In this paper, a generative adversarial network (GAN) based framework is investigated for the task of speech enhancement, more specifically speech denoising of audio tracks. A new architecture based on CasNet generator and an additional feature-based loss are incorporated to get realistically denoised speech phonetics. Finally, the proposed framework is shown to outperform other learning and traditional model-based speech enhancement approaches.Comment: 5 pages, 4 figures and 2 Tables. Accepted in EUSIPCO 202

Managing marine fishery in Kerala through simulation using surplus production model, genetic algorithm and spectral methods

Outboard ring seines and mechanized trawl nets form the two major fisheries in Kerala accounting for about 72% of the total catch in the state. A genetic algorithm was developed for simulation of trawl net and ring seine fishery using surplus production model and spectral methods. Simulations were carried out for six different levels of exploitations and the average biomass and average yield were calculated and compared with the maximum sustainable yield (MSY). The simulation results based on ring seine fishery revealed that the optimum level of exploitation is at 86.3% of the current level of exploitation to keep the annual average yields during 2005-2014 just below MSY, for both oil sardine and mackerel. Simulations based on trawl net fishery suggested maintaining the exploitation level at 87.9% of the current level to retain the average annual yields of penaeid prawns, cephalopods and threadfin breams below the MSY level during 2005-2013

Bayesian State-space Implementation of Schaefer Production Model for Assessment of Stock Status for Multi-gear Fishery

Knowing the status of marine fish stock is of utmost importance to develop management strategies for sustainable harvest of marine fishery resources. A widely accepted approach towards this is to derive sustainable harvest levels using time series data on fish catch and fishing effort based on fish stock assessment models like Schaefer’s model that describe the biomass dynamics. In India, the marine fishery is of complex multi-species nature where in different species are caught by a number of fishing gears and each gear harvests a number of species making it difficult to obtain the fishing effort corresponding to each fish species. Since the capacity of the gears varies, the effort made to catch a resource cannot be considered as the sum of efforts expended by different fishing gears. Hence, it demands the importance of effort standardisation for making use in stock assessment models. This paper describes a methodology for the standardization of fishing efforts and assessing fish stock status using Bayesian state-space implementation of the Schaefer production model (BSM). A Monte Carlo based method namely Catch-Maximum Sustainable Yield (CMSY), has also been used for estimating fisheries reference points from landings and a proxy for biomass using resilience of the species. The procedure has been illustrated with data on Indian mackerel (Rastrelliger Kanagurta) collected from the coastal state of Andhra Pradesh, India during 1997-2018. Maximum Sustainable Yield (MSY) of Indian mackerel for Andhra Pradesh has been estimated. A comparison between both CMSY and BSM methods have been made and found that the estimates are in close agreements