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    A novel ensemble method for the accurate prediction of the major oil prices in Tanzania

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    Global development relies much on oil to run different types of machines. Using oil to power many types of equipment is very important to world economic growth. The analysis of oil prices is crucial for the country's long-term stability. However, global monopoly producers, wars, and pandemics have contributed to the volatility of crude oil prices. As a result, the optimal prediction model for oil prices becomes crucial. The performance of several ensemble strategies on single traditional and machine learning models was examined in this study. We found that the weighted ensemble technique outperformed other ensemble and single models in predicting petrol and diesel prices in Tanzania based on four performance metrics. Furthermore, a spike in global oil prices necessitates global economic and political stability for non-oil-producing nations to avoid suffering the consequences. Finally, other ensemble approaches may be used and compared to predict the oil prices.

    Driving Development through Smart Village in Tripura: An Overview

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    Rural areas are home to the vast majority of Indians. Most Indian rural villages struggle with various challenges to accelerate rural development. They lack basic health care, education, and other infrastructure facilities. Rural India experiences the impact of global warming and climate change affecting the social and economic life of the people. Tripura, a tiny state in Northeast India, is also no exception to this. As per the census data of 2011, 73.83% of its population lives in rural villages. Like most rural villages in India, the rural villages in Tripura also face similar problems and challenges. It aims to transform rural villages into viable growth centres. The concept of a Smart Village can be a useful perspective to address the major rural problems in India. In the current study two rural villages-Punsari Smart Village located in Sabarkanta district of Gujarat, and Chantail Village, a non-smart village of Unokoti district in Tripura are taken up in order to understand the development dynamics in the smart and non-smart villages of rural India. Current study is basedon a survey conducted from June to September 2022 with 20 villagers from each ward of Chantail village of Unakoti District. To conduct the research , field observation and semi-structured interview methods were used during the survey to collect first-hand information. This study aims to reveal that in terms of providing services to the residents of villages, Chantail village is lagging far behind the Punsari smart village. This is largely due to the absence of a smart village concept in Tripura. Moreover, this paper is attempt to draw the attention of the policy makers of Tripura for sustainably accelerating rural development by focusing on the vitality of smart village

    Outsourcing of Maintenance Activities: A Model

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    The article is to propose a model and its analysis for deciding when maintenance activities should be outsourced, instead of doing in-house. A model, based on statistical regenerative processes theory and renewal reward theory, is given. Long term per unit time cost is minimized in the model. Examples are given to show the use of the model. The model and its analysis indicate that, it would be desirable sometimes to outsource the maintenance activities. Sometimes it is preferable not to outsource. This depends on lifetimes, repair times, costs, etc. The model gives a decision, based on such parameters. Keywords: Maintenance, Outsourcing, Model, Analysi

    A Review on Brain-Controlled Home Automation

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    A "smart home" employs ambient intelligence to keep tabs on things around the house so that the owner may get services tailored to their specific needs and control their home appliances from afar. Home automation for the elderly and handicapped focuses on enabling older persons and those with disabilities to live safely and comfortably at home. Additionally, the integration of this technology with a brain-computer interface (BCI) is perhaps of tremendous usefulness to those who are either old or disabled. These BCI-based brain-controlled home automation (BCHA) systems have emerged as a viable option for people with neuro disorders to remain in their homes rather than move to assisted living facilities. To summarize, BCI-based BCHA for the elderly and handicapped people is transforming people's lives every day. Most individuals prefer a simple approach to save time and effort. Automating the house is the simplest way for individuals to save time and effort. The brain-computer interface, often known as a BCI, is an innovative method of human-computer connection that does not rely on conventional output channels (muscle tissue and peripheral nerve). Over the course of the last three decades, it has attracted the attention of industry experts and developed into a thriving centre for research. Brain-controlled home automation (BCHA), as a typical BCI application, may provide physically challenged people with a new communication route with the outside world. However, the primary challenge that BCHA faces is to rapidly decipher multi-degree-of-freedom control instructions extracted from an electroencephalogram (EEG). The BCHA's research has made significant headway in a short amount of time during the last fifteen years. This study investigates the BCHA from several viewpoints, including the pattern of instructions for the control system, the type of signal acquisition, and the operational mechanism of the control system itself. This paper a concise description of the building blocks of smart homes and how they may be used to construct BCI-controlled home automation to assist disabled individuals. It is a compilation of information pertaining to communication protocols, multimedia devices, sensors, and systems that are often used in the process of putting smart homes into action. A comprehensive strategy for developing a functional and sustainable BCI-controlled home automation system is laid out in this paper as well, which could be useful to researchers in the future

    An Autonomous Virtual Tour Guide System for Tourists

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    As we know, tourism has been and continues to be one of the most prominent industries in the world. It goes without saying that in many tourist spots there is an ever-increasing rise in the requirement of tour guides and instructors for a total exquisite experience. There are places where robots are doing the job of the tour coordinator, while somewhere else the tour is nothing but a virtual reality or augmented reality experience. In the existing system, either a human is serving the purpose of being a guide or technology is being used to some extent to develop a human-less tourist guide system. In the first case, where a human is serving the purpose of a guide, the main limitation is the knowledge of the guide and the communication capabilities of the guide because of which the tourist may get different and less factually current information about the tourist spot. In the second case, where the technology is being used to some extent to offer a system without human guide, the tourist is required to carry different electronic devices in order to get the information about the place. Carrying these electronics devices becomes cumbersome at times and therefore may not be feasible for all tourists. This research attempts to provide a system which requires only an app to be installed on the tourist’s mobile phone through which the tourist can gather all available information about the place

    Rainfall-Runoff Modeling of Upper Mountainous Riverine Watershed Area in Uttarakhand

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    Floods are one of the most prevalent natural catastrophes that occur every year all around the planet. Due to severe precipitation, cloud bursts landside, or glacial lake outbursts, flash floods are a typical occurrence in alpine rivers and places. Hydrological modeling is the outcome of a precise calculation for various mountainous aggregations. Flash flood prediction owing to heavy perception is being replicated in this research study utilizing rainfall data from a different occurrence for hydrological modeling. The parametric hydrologic modeling for the Mandakini River system upstream to Rudraprayag is covered in this research. Hydrographs are generated using the HEC-HMS semi-distributed hydrological model. In HEC-HMS, both stations, Agastmuni and Thaytur, are employed as point locations for precipitation time - series. Precipitation parameterized numerous climatic factors such as land use/land cover, topography information, rains, and soil texture, and ASTER DEM data were utilized as input to the model. The data was processed and analyzed using ArcGIS and the HEC-HMS model. These settings were used to simulate three historical flash floods: July 31, 2010, September 13, 2012, and June 13, 2013. Utilizing IMD rainfall distribution and TRMM 3B42 v7 3-hourly products, these parameters are confirmed for accuracy and likelihood of detecting flash flood ratio. For the study, the obtained results might be valuable to the hydrology and water reserves departments and research institutes

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    Teacher Quality and Dropout Rates in Primary Education - The Case of Developing Countries

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    Using a panel of 40 developing countries of the world, spanning the period 1997 to 2017, this study examines the role of the teacher in reducing dropouts in primary education. Controlling for the role of socio-economic and individual characteristics, this study finds that the reduction in class size through recruitment of an extra teacher is more effective in reducing dropouts in developing countries than the provision of organised training of teachers. Alternatively, the result indicates that increase in household income or wealth and parental education significantly reduce dropouts. While government developmental efforts such as alleviation of poverty could be catalytic in reducing dropouts, specific policies that increase parental education are likely to have important implications in reducing dropouts

    EXPERIMENTAL STUDY OF DOUBLE SLOPE SOLAR STILL WITH ROTATING CYLINDER

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    Solar still is cheap, environmentally friendly and one of best efficient solution of water scarcity and unavailability of drinking water. But major obstacle to their use is limited productivity of conventional solar still. Therefore, objective of this work is to increase productivity of solar still by modifications. Here we create Modified Double Solar Still (MSS) by adding rotating hollow cylinder in Traditional Double Solar Still (TSS). To increase the surface area of evaporation we put rotating cylinder inside the basin. We have filled water as cylinder was partially inside it. At very low speed hollow cylinder has been rotating inside basin. We have performed two experiments, first one for TSS which is without cylinder and second is for MSS which is with cylinder. Cylinder is rotating continuously, during rotation upper part of it in with direct contact with sun light and downward part inside water. Cylinder’s upper portion can absorb heat from direct sun light and when it come downward, it can release heat inside water so that temperature of water rises rapidly and also rate of evaporation of water increase therefore it will become helpful to improve productivity of solar still. From the analysis of both the experiments, it is evident that productivity has increased 57% in MSS compared to TSS

    Geospatial Technologies in the extraction of Groundwater Potential Zones

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    The utmost source which is contributing to the supply of water to the society is groundwater. Depletion of undergroundwater is enormously caused by eruptive growing rate of human population along with needs in the form of industrialand urbanized growth, indigent practices in irrigation methods and deforestation. As surface fresh water is very limit, waterdemand is drastically increasing for the needs. In this connection, there is immense predominant for the natural sourcecalled groundwater. It is mandatory for the communities not only to targeting the resource called groundwater but also toprovide remedial measures to replenishment the groundwater. Enormous investigations are in the process globally, to meetthe requirement to compensate resource for the needs in all aspects. Geospatial techniques are playing vital role in theextraction of groundwater resources by means of spatial and temporal data variations along with its integration analysis inthe form of separable layers to derive the solutions. In this connection, Nandyal mandal of Kurnool is selected to demarcatethe potential zones of groundwater by using this geospatial technology.The main motto of the research work is to identifythe effective potential groundwater zones by applying methodsand integration techniques of Geographic InformationSystem and remote sensing. This gives more information for the planning and management of the ground water.Byemploying geospatial technologies, the integrated composite output for potential zones is demarcated with help of keyparameters such as drainage, lineament, slope, geology, geomorphology, land use land cover and existing groundwaterlevels. All these thematic layers are extracted by using the satellite data and other available sources by using remote sensingand GIS. All these themes are demarcated using basic elements to identify the respective classes. Proper weightages areassignedtoeachclassofallthemesintheformofseparatecategorybasedonimportanceofweightagefromexcellenttopoor based on suitability to avail the groundwater sources. This process is applied for the considered themes and isreclassified based on results. It is then integrated with weighted overlay operation in ARCGIS environment. Appropriateweightage percentages which are equal to 100%, are given prior to overlay analysis of hydrology tools of ArcGIS. Variouszones like excellent, very good, good, moderate, poor are categorized for the integrated potential zones of groundwatersource. The use of suggested methodology is applied and demonstrated for a selected case study area in Nandyal Mandal ofKurnool District of Andhra Pradesh, India. Integrated output layout will be effectively useful in the demarcation of potentialresource zones. This demarcation area zone system is not only to identify the zones but also helpful in the replenishing theresources of the study area. The digital elevation model is also used to extract slope and drainage themes of the study area.The groundwater potential zones were obtained by overlaying all the thematic maps in terms of weighted overlay analysismethod using the spatial analysis tool in ArcGIS 10.1. This ground water potential information will be useful for effectiveidentificationofsuitablelocationsfor extractionofsuchgroundwater

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