Biomaterial Strategies for Immune System Enhancement and Tissue Healing
Qualitative and Quantitative Performance Optimization of Simple Gas Turbine Power Plant using Three Different Types of Fuel
Efficient Shopping: RFID-Powered Cart with Automated Billing System
Medical Drone System for Automated External Defibrillator Shock Delivery for Cardiac Arrest Patients
A Critical Review on Biodiesel Production, Process Parameters, Properties, Comparison and Challenges
Review on Deep Learning Based Image Segmentation for Brain Tumor Detection
Chemistry and Chemical Engineering: Approaches, Observations, and Outlooks
Integration of PMS Software and Decision Matrix Tool Based on Data Acquired from Latest IT Advanced Sensors and 3D CAD Models in Marine Operations Field
A Series of Tool-Life Studies on Aluminium Matrix Hybrid Composites
Dynamic Changes in Mangrove Forest and Lu/Lc Variation Analysis over Indian Sundarban Delta in West Bengal (India) Using Multi-Temporal Satellite Data
The Impacts of Climate Change on Water Resources in Hilly Areas of Nepal
An Analysis of Machining Forces On Graphite/Epoxy, Glass/Epoxy and Kevlar/Epoxy Composites Using a Neural Network Approach
Deformation Behaviour of Fe-0.8%C-1.0%Si-0.8%Cu Sintered P/M Steel during Powder Preform Forging
A Series of Tool-Life Studies on Aluminium Matrix Hybrid Composites
Achieving Manufacturing Excelence by Applying LSSF Model – A Lean Six Sigma Framework
Design and Analysis of Piezo- Driven Valve-Less Micropump
Assessment of rainfall and temperature for a desired return period is of utmost importance for planning and design of hydraulic structures and also for installation of nuclear power projects. This can be achieved through Extreme Value Analysis (EVA) by fitting of probability distribution to the observed series of meteorological data. This paper illustrates the study on EVA of rainfall and temperature recorded at Mandla observatory adopting Gumbel and Frechet distributions. The annual series of 1-day maximum rainfall, maximum and minimum temperature derived from daily data are used for EVA. The parameters of the probability distributions are determined by order statistics approach and used in EVA. The adequacy of probability distribution is quantitatively assessed by using Goodness-of-Fit (GoF) test viz., Kolmogorov- Smirnov and Diagnostic test, using correlation coefficient and root mean squared error. The GoF and Diagnostic tests’ results show that Gumbel is better suited probability distribution for EVA of rainfall and temperature for the region under study.
Sundarban ecological unit is a well-known world's major mangrove ecosystem, prolonged over Bangladesh and India across the deltaic formation of Ganga, Brahmaputra, and Meghna rivers. Indian Sundarban Delta (ISD) is located over Ganges and Brahmaputra rivers’ delta in West Bengal, India. In the existing epoch, sundarbans delta is prone to ecological pressure caused by various natural as well as anthropogenic activities. The mangroves ecosystems of ISD have been critically disturbing via climate changes such as Sea Level Rise (SLR), gales, flood, shoreline erosion, salinity intrusion, population pressure etc. Aforesaid issues are apprehension for the mangroves forest and can create more socio-economic complications for the local mankind and wildlife of the ISD. The present study has essentially focused on the analysis and assessment of temporal deviation in the spatial pattern of Indian sundarbans delta using chronological satellite imagery since 1972-2017. Digital image processing of multi-temporal Landsat-series satellite data of 1972s, 1987s, 2002s, and 2017s were carefully performed in Geographic Information System (GIS) environment. Loss of Mangroves cover and Land Use / Land Cover (LU/LC) transformation were accomplished using two image processing techniques; Supervised Classification (Random Forest Classification) and Soil Adjusted Vegetation Index (SAVI), and accuracy assessment of the derived LU/LC map was done by preparing a confusion matrix. The impact of climate change on ISD and socio-economic impact of mangrove ecosystem on shelters has also discussed.
Asian Elephant (Elephas maximus) is the basically jeopardized biggest earthbound creature. In the course of recent decades, the quantity of Asian Elephants has dwindled because of human infringement and spontaneous settlements and development along the development courses and halls of this lofty creature. Along these lines, legitimate preservation activities require a point by point spatial database on the courses and passages of Asian Elephant. Humannatural life clashes happen inside the setting of dynamic socio-environmental frameworks. Understanding these contentions at generally more extensive spatial and transient scales gives a knowledge into the contention situations crosswise over bigger territory and changes in their spread and power over a wide time frame. This information would be able to give vigorous contributions to arrangement making for the locale on the issue. Then again, understanding these contentions at generally littler spatio-fleeting scale may be helpful in moderation of contentions for neighbourhood administration organizations, for example, Forest Department. This locale is much of the time left by elephants from the neighbouring environments of Orissa and Jharkhand looking for better natural surroundings and regularly entering human residences and farming fields bringing about clashes with people. Satellite images and ground data were utilized for Land use/land cover mapping and identification of contention zones. In the present study, data was utilized to dole out weights to the three elements, viz., types of vegetation cover, nearness to water body, and vicinity to human home. In light of the investigation, a passageway for elephant development and movement has been recognized which could be overseen by the state government with a specific end goal to limit human-elephant clashes in the locale.
The Independent Component Analysis (ICA) is showing a vital role in separating the image objects and dimensional reduction. The clouds are very important in the National Oceanic and Atmospheric Administration (NOAA) multispectral image. The removal of total cloud is very difficult, so these clouds are classified using this proposed technique. Using ICA and k-means clustering algorithm, the different types of clouds are classified and clouds are separated from the water and ground levels. These values are verified by temperature values of Ch4 and Ch5 bands, individual bands, Normalized Difference Vegetation Index (NDVI), and albedo reflectance values with Ch1 and Ch2. This algorithm shows optimum results compared with threshold and surface edge detection methods. The performance of this proposed method has been evaluated visually with good efficiency.
The paper briefly analyses the impacts of climate change on water resources in hilly areas of Nepal. The study was carried out on three water supply systems from every two districts in different places. A tool was used to focus group discussion with the community dependent on the water supply system. Their experience in relation to climate variability or change over time was collected and analyzed. Secondary data obtained of precipitation and temperatures were also analyzed. Drying and depletion of spring water sources and frequent climate-induced hazards are caused due to changing rainfall patterns and temperature regime, which may be the result of climate change. Water scarcities have multiple impacts on the living condition of people, and adaptive capacity of local people in this area is very low which increases the vulnerability. Finally, it was explored that there is a need for future planning and management of water resources resilient to the climate change.
Drilling Rig safety emphasizes on the identification of Hazards during the drilling operation. Availability and Maintenance of Safety and Firefighting equipment, in line with the drilling operation emphasizes on training and awareness of the employees and workers associated with the operation. Accident reporting and investigation are seriously taken up for identifying the root cause of the accident and to avoid the reoccurrence. Special emphasis is given to Personal Protective Equipment (PPE) for protection of the employees working in critical areas. The accident dates should be collected and analyzed correctly. Risk Analysis is an effective tool to assess the various risks present in the rig, which is continuously getting sophisticated to identify possible hazards, quantify them and to implement required mitigation measures. Since the Degasser and Shale Shaker are identified as severe hazard equipments by Fire and Explosion Index (F & EI) and Event Tree Analysis (ETA), Hazard and Operability (HAZOP) study is carried out which recommends some more, in addition to the safeguards available there for the safe operation of the unit. The probabilities are also found out for the head events using ETA techniques and minimal cut sets are also found out for a single head event. This paper concludes with suitable recommendations to the drilling rig to mitigate the hazards.
