Assam Don Bosco University Journals
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Detection of one-horned rhino using multispectral images
Get PDFAnimal detection and surveillance is an important field of research to address the needs for protection of endangered species among others. The challenges in animal detection include low-contrast and poor image quality which is commonly observed during night time. Researchers have mostly worked on day-light, low-contrast and thermal images. To handle the challenges of detection during night time, multispectral images in combination with deep architectures may be used for better detection performance. In the present work, one-horned rhino is considered for detection because they are getting endangered for reasons like poaching, natural calamities and diseases. A novel multispectral one-horned rhino dataset is introduced and the multispectral data is obtained by combining the channels of color images and the corresponding thermal images. Instance segmentation based techniques YOLACT and YOLACT++ are used here to detect rhinos with the above multispectral dataset. The performances of the detectors are studied in terms of mAP and FPS
Analysis Of Multimodal Data On Social Media Using Deep Learning Techniques
Get PDFContextual text mining known as sentiment analysis identifies and extracts subjective information from the source content. It aids in the detection of sentiments that are good, negative, neutral, etc. It helps companies monitor internet debates in order to learn how the public feels about their brands, goods, and services. However, the only metrics generally utilized in social media stream analysis are straightforward sentiment analysis and count-based metrics. This is analogous to simply scratching the surface and leaving out those priceless discoveries that are just waiting to be made. Sentiment analysis is quickly evolving into a crucial tool to track and comprehend the sentiment in all types of data because people express their thoughts and feelings more freely than ever before. This project's sole objective is to use various latest AI techniques to categorize various sentiments present in audio and text forms into categories like humorous, offensive, and sarcastic. Using datasets with audio files and image files, we trained the model, then we tested it using the test data
A SHORT REVIEW ON CLAY MATERIAL AND ITS APPLICATION FOR WATER TREATMENT
Get PDFThe clays are naturally occurred with large surface area and cation exchange capacity. Clays are frequently utilized for the adsorption of toxic dye and heavy metal contaminants in water because of their environmentally benign character. Numerous studies involve clay, modified clay, and the introduction of inorganic or organic elements into the interlayer space of the clays. As a result, process-wise selectivity changes may be possible. By treating the clay surface with acid and/or base or functionalizing it with specific additions, the surface can be encouraged for larger exchanges. In this review article, we have summarized recent works on the use of natural and modified clays as selective adsorbents for water treatment
Detection of diseases in fruits using Image Processing Techniques
Get PDFIndia is one of the leading producers of fresh fruits in the world but its contribution to the global market in terms of exports is very little. One of the reasons for this huge difference is the significantly high wastage of the produce due to the unavailability of systems for the detection of diseases in fruits efficiently, during the harvest and in the post-harvest period. In this paper, two approaches have been applied for the detection of disease in Apple, namely, Multi Support Vector Machine and Convolutional Neural Networks. A comparative analysis has been carried out on the results obtained using the aforementioned approaches. In the Multi Support Vector Machine (Multi SVM) approach, K-means clustering has been used for segmentation and Gray Level Co-Occurrence Matrix (GLCM) has been used for Feature Extraction whereas in the Convolutional Neural Network approach, transfer learning using ResNet-50 has been used for the detection of diseases in Apples. The results obtained from the two approaches can be summarized as 86.3% average classification accuracy in the Multi SVM approach and 95.79% accuracy in the CNN approach
STUDY ON ELEMENT CONTENT OF MEDICINAL PLANTS Clerodendrum colebrookianum AND Vitex negundo
Get PDFMedicinal plants are important part of health care system. Elements present in medicinal plants have a great role in the management and treatment of various diseases. The concentrations of elements in plant species depend on various factors like geographical location, genetic background, cultivation methods, environmental condition, etc. This present investigation was conducted to analysis the concentration of trace and macro elements in two selected traditionally used medicinal plants collected from local village areas of Nalbari District of Assam. Flame Photometry and Atomic Absorption Spectroscopy (AAS) techniques are used for quantitative analysis of various elements present in Clerodendrum colebrookianum and vitex negundo leaves. Eight trace elements (Fe, Cu, Ni, Mn, Zn, Na, K, Cr) were determined in these two medicinal plants. The present analysis may helpful for standardization of plant derived pharmaceutical drug
ISOLATION, CHARACTERIZATION, AND IDENTIFICATION OF BACTERIA FROM INDUSTRIAL AND MARKET WASTE AREAS
Get PDFA study was conducted to isolate and examine the bacterial strains from litter areas. Two soil samples were collected from waste disposal sites, namely, industrial waste sites of Nilon’s pickle industry in Dalgaon and market waste sites of Balugaon vegetable market of Kharupetia in Darrang district (Assam). A total of nine bacterial strains were identified at industrial waste dumps, namely Leclercia adecarboxylata, two strains of Pseudomonas putidia, Ralstonia pickettii, three strains of Serratia marcescens and Stenotrophomonas maltophilia, and at market waste dumps, four out of five bacterial isolates were identified, namely two strains of Enterococcus cloacae, Bacillus megaterium and Bacillus coagulans using the Vitek-MS MALDI TOF system. For both soil samples, morphological, biochemical, physicochemical tests were carried out against all bacterial strains to identify a beneficial bacterial strain
Sensitivity Analysis of Microwave Sensors to Various Soil Types and Their Soil Moisture Content
Get PDFUnderstanding soil moisture content is extremely important to model areas for suitability analysis of different plantations and to predict natural disasters like landslides, floods, etc. It also influences hydrological and ecological processes. In the present work, a microwave sensing system with transmitter and receiver antennas in the C band is experimented with. The sensitivity of the sensor system is compared with the changes in soil moisture levels for different soil types available in the North Eastern Region of India using the laboratory-based setup. Suitable frequency determination for such a microwave-range soil moisture sensor is directly related to remote sensing satellite applications. The sensor system is found to be highly sensitive to soil moisture changes in various soil types. However, the determination of the exact frequency range that is suitable to detect soil moisture changes in different soil types is required for satellite remote sensing applications in the microwave range. Especially for the typical alluvial soil types of the Brahmaputra valley, a detailed sensitivity study using the microwave sensor is done in the current study. Thus, this paper presents the study results for determining the most suitable C-band frequency for soil moisture monitoring using active microwave sensors
EFFECTIVENESS OF SURFACE TEXTURING AND OPTICAL WIDTH IN MINIMIZING THE OPTICAL LOSS OF A SOLAR CELL: A SIMULATED STUDY
Get PDFOptical loss is one of the prime factors of a solar cell. If the parameters responsible for the optical loss are not dealt with properly, the efficiency of the solar cell is hampered significantly. Anti-Relfelction coating is a commonly studied mechanism to reduce optical loss. This research paper presents a simulated study on the reduction of optical loss by employing surface texturing and enhancing the optical path inside the active layer of a given solar cell. The surface textures have been employed on both the front and rear surfaces of the solar cell. Also, for the analysis purpose the various types of structure have been considered. The analysis shows that, among considered types, Upright Hillocks shows the minimum reflection. Further, the effectiveness of a particular surface structure is found to be depend on the characteristic angle. Similarly, the total optical path travelled through the active layer is found to be increase with increase in the propagation angle of the ray inside the active layer of the solar cell.
Is there a Role for Ubuntu Embedded in Social Work Practice— Particularly Relating to Migrants and Refugees?
Get PDFForced migration and displacement due to climate changes and environmental disasters is an international issue social workers are key players in ameliorating some of the distress that displaced persons’ experience. This is often challenging, particularly if there are cultural divides between service providers and clients. Namibia and Finland both have populations of displaced individuals and both struggle with these same issues. Each however, has expertise which if shared could result in a new paradigm to address this problem. Well-developed services in Finland may lack recognition of culturally based emotional needs while community sensitive Namibian services can benefit from Nordic organizational experience. The University of Namibia Cares model and Finnish experience of increasing migrant populations are a potential nexus for collaboration. UBUNTU, an indigenous view of the individual in society, can be the platform underpinning discussion and mutual learning. Mental health, loneliness and children are key areas in both settings. Social workers who promote UBUNTU-based developmental community social work, potentially link both micro- and macro practices thereby addressing marginalization and exclusion of individuals, groups and communities, particularly in migrant and refugee populations. We performed a rigorous literature review of the following elements: migrants, displaced persons, UBUNTU, Social services in Namibia and Finland and acculturation. We present a discussion based on the evidence in the literature and the lived experience of migrants in the two countries. In this context weaddress community development through Social Work and bridging cultures through Ubuntu as a philosophy of social development. We reflect on the question whether there a place for Ubuntu in international, collaborative social work practice