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Journal articles on the topic 'Bongaigaon District'

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Author: Grafiati

Published: 18 May 2024

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1

Das, Hem Chandra, Kshirod Sarmah, Deepak Hajoary, Raju Narzary, and Rinku Basumatary. "Assamese Dialect Identification System using Convolution Neural Networks." International Journal of Membrane Science and Technology 10, no. 2 (June 22, 2023): 4340–47. http://dx.doi.org/10.15379/ijmst.v10i2.3519.

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Labeling speech in an audio file with appropriate dialect labels is the aim of a dialect identification system. This paper presents a method of using convolution neural networks (CNN) to identify four Assamese dialects: Goalporia dialect, Kamrupi dialect, Eastern Assamese dialect, and Central Assamese dialect. This study employed the speech patterns of four major Assamese regional dialects: the Central Dialects spoken in and around the district of Nagaon; the Eastern Assamese dialect spoken in the districts of Sibsagar and its neighboring areas; the Kamrupi dialect spoken in the districts of Kamrup, Nalbari, Barpeta, Kokarajhar, and some areas of Bongaigaon; and the Goaplari dialect spoken in the Goaplara, Dhuburi, and a portion of Bongaigaon district. Over the course of two hours, audio samples from each of the four dialects were used to train the classifier. Mel spectrogram pictures, which are produced from two to four second divisions of raw audio input with varying audio quality, are used by the CNN. The system's performance is also analyzed in relation to the lengths of the train and test audio samples. The proposed CNN model achieves an accuracy of 90.82 percent, which may be the best when compared to machine learning models.

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2

Banti Choudhury, Jagat Swargiary. "A Comparative Study on Modernization Level of Male and Female Students of Secondary Schools of Bongaigaon District of Assam." Proceeding International Conference on Science and Engineering 11, no. 1 (February 18, 2023): 1105–16. http://dx.doi.org/10.52783/cienceng.v11i1.247.

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The impact of modernisation can be seen in all segments of the nation-political, social, cultural and economic. It is also seen to impact the behaviour and attitudes of adolescents significantly. The study aims at conducting a comparative study in the modernisation level of male and female secondary school students of Bongaigaon District of Assam. A primary, quantitative approach is adopted to conduct a survey and analysis among 200 (102 females and 98 males) sampled students from 5 provincialized higher secondary schools in the Bongaigaon District of Assam. The results indicate that the modernisation level is 172.21 for males and 171.23 for females. Comparatively, rural males are the most impacted population. The male students are more impacted by modernisation which can be attributed to the freedom seen for male children in traditional Indian households whereas the girls are taught to value traditional Indian beliefs and customs. In conclusion, the impact of modernisation leads to the deterioration of traditional Indian values that can positively impact adolescents.

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3

Roy, Dilip. "A Traditional herbal preparation used in some ailments by rural communities in district Bongaigaon (Assam)." Journal of Non-Timber Forest Products 18, no. 2 (June 1, 2011): 159–60. http://dx.doi.org/10.54207/bsmps2000-2011-548jl0.

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The paper deals with a less known polyherbal preparation in the form of traditional pills used by rural communities in different ailments viz. cold, cough, indigestion and stomach problem and loss of appetite in the district Bongaigaon of Assam. The presentation provides the methodology of traditional pills preparation from 6 plant species and administration.

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4

Pujari, D., BK Das, G. Das, JK Sarma, RK Taye, P. Ahmed, M. Choudhury, RK Nath, and SM Khayer. "Impact of frontline demonstration on performance of sesamum in Bongaigaon district." International Journal of Research in Agronomy 7, no. 4 (April 1, 2024): 645–47. http://dx.doi.org/10.33545/2618060x.2024.v7.i4i.616.

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5

Ahidur, Rahman. "Impact of Human Activities on Wetland: A Case Study from Bongaigaon District, Assam, India." International Journal of Current Microbiology and Applied Sciences 5, no. 3 (March 10, 2016): 392–96. http://dx.doi.org/10.20546/ijcmas.2016.503.046.

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6

Tripathi, Swati, Sadhan Kumar Basumatary, Samir Kumar Bera, Munmun Brahma, and Gajen Chandra Sarma. "A palynological study of natural honeys from the Bongaigaon district of Assam, northeast India." Palynology 41, no. 3 (March 20, 2017): 389–400. http://dx.doi.org/10.1080/01916122.2016.1217950.

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7

Das, Ashoke Kumar, Manabendra Ray Choudhury, and Gajen Chandra Sharma. "Medicinal Plants used by Koch Rajbangshi of North Salmara Subdivision, Bongaigaon, Assam, India." Our Nature 11, no. 1 (June 24, 2013): 45–53. http://dx.doi.org/10.3126/on.v11i1.8243.

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A total of 73 medicinal plants belonging to 44 families of angiosperms were found to be used in the healing practice of 36 types of diseases including diabetics, heart problem, and neurological disorders by Koch Rajbangshi people of North Salmara sub-division of Bongaigaon district, Assam. More use of leaf was found in disease treatment than other parts of plant. Among the plants species 49 were common in occurrence, 19 species less common and 5 species viz., Aristolochia indica L., Asparagus recemosus Willd., Cissus quadrangularis L., Garcinia morella (Gaertn.) Desv and Rauvolfia serpentina Benth. were in rare category in the study area.DOI: http://dx.doi.org/10.3126/on.v11i1.8243 Our Nature Vol.11(1) 2013: 45-53

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8

Bhagawati, R. R., and Susmita Gupta. "Ecosystem Health of Lake Tamrangabeel, Bongaigaon District, Assam, India with Special Reference to Aquatic Insect Assemblage." Current World Environment 10, no. 2 (August 24, 2015): 500–508. http://dx.doi.org/10.12944/cwe.10.2.15.

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This study investigated the ecosystem health of a floodplain lake, Tamrangabeel of Bongaigaon district, Assam, India using aquatic insects as bioindicator. The aquatic community of Tamrangabeel was represented by 37 species belonging to 19 families and 5 orders. Shannon –Wiener diversity index (Shannon Hꞌ) values were recorded less than 1 in all the sites of the lake which indicated perturbed condition of the lake. Order Hemiptera was found to be the largest order with highest number of species. Eudominant species recorded in this lake were Micronecta siva (order Hemiptera) and Cloeon sp. (order Ephemeroptera). Biological Monitoring Working Party (BMWP) Score, Average Score per taxon (ASPT), and Stream Invertebrate Grade Number-Average Level (SIGNAL) Score reported from the study reflected good ecological potential as well as slightly impacted nature of the water body. The values of different environmental variables of water of all the sites of the lake were found conducive for aquatic life. This study provided an early warning of perturbation of the lake which is to be addressed before it is too late.

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9

Borah, Girimallika, Nandita Saikia, Shyamanta Das, and Sanjeev Sharma. "Wellbeing in the aftermath of floods: Findings from a qualitative study in Bongaigaon District of Assam, India." Wellbeing, Space and Society 4 (2023): 100147. http://dx.doi.org/10.1016/j.wss.2023.100147.

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10

Pujari, D., CK Sarma, BK Das, P. Ahmed, MS Sarma, G. Das, M. Choudhury, and RK Nath. "Impact of cluster front-line demonstration on yield, yield gap and economics of linseed in Bongaigaon district, Assam." International Journal of Research in Agronomy 7, no. 1S (January 1, 2024): 21–24. http://dx.doi.org/10.33545/2618060x.2024.v7.i1sa.220.

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11

Roy, Ranu. "Diversity and some phenotypic characters of Joha rice (Oryza sativa L.) varieties cultivated in Bongaigaon district of Assam, India." Pleione 12, no. 2 (December 31, 2018): 249. http://dx.doi.org/10.26679/pleione.12.2.2018.249-254.

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12

Swargiary, Khritish, and Kavita Roy. "A study on school timetable of Government primary schools with special reference to Bongaigaon and Chirang district, Assam (2019)." ACADEMICIA: An International Multidisciplinary Research Journal 13, no. 2 (2023): 5–18. http://dx.doi.org/10.5958/2249-7137.2023.00018.6.

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13

Roy, Ranu. "Investigation on the morphological traits of different varieties Bora-Rice (Oryza sativa L.) cultivated in Bongaigaon District of Assam, India." Pleione 14, no. 1 (June 30, 2020): 029. http://dx.doi.org/10.26679/pleione.14.1.2020.029-036.

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14

Sankar, K. Siva, and J. S. Bhargav. "A study on the geochemistry of groundwater exhibiting natural attenuation of phenols in the alluvial tracts of oil refinery area of Bongaigaon district, Assam." Journal of the Geological Society of India 87, no. 5 (May 2016): 553–60. http://dx.doi.org/10.1007/s12594-016-0429-2.

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15

Hajowary, Tapasi. "THE DANCE FORMS OF A DOUDINI IN KHERAI FESTIVAL OF THE BODOS OF ASSAM: AN ANALYTICAL STUDY FROM RELIGIOUS PERSPECTIVE." ShodhKosh: Journal of Visual and Performing Arts 3, no. 2 (July 14, 2022): 22–30. http://dx.doi.org/10.29121/shodhkosh.v3.i2.2022.148.

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The Bodos are important tribes of the North-Eastern India, particularly Assam. They belong to the Indo-Mongolian group of tribes and are inducted as Kiratas. They are mainly scattered in the districts of Kokrajhar, Goalpara, Barpeta, Bongaigaon, Baksa, Dhubri etc. The traditional Bodos celebrate Kherai as one of their significant religious festivals Brahma (2008) 14. They perform Kherai for well-being of their families, to yield good harvest and prosperity of the society. Kherai is a religious custom in which the primitive spiritual almighty is prayed earnestly. It is a prayer institution of Bwrai Bathou or Sibrai, the supreme deity of Kherai festival. Though there are mainly eighteen types of dances associated with Kherai puja but there are some additional dance-drama forms which are also counted after those eighteen dances and the main dancer of the puja is the doudini Brahma (2003) 20.

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16

Dattamajumdar, Satarupa. "Ethno-Linguistic Vitality of Koch." Buckingham Journal of Language and Linguistics 12 (December 11, 2020): 55–76. http://dx.doi.org/10.5750/bjll.v12i.1874.

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The Koch language is spoken in the states of Assam (Goalpara, Nagaon, Dhubri, Kokrajhar, Chirang, Bongaigao, Barpeta, Baksa, Udalguri, Karbi Anglong, Golaghat districts), Meghalaya (West Garo Hills, South-West Garo Hills, South Garo Hills and East Khasi Hills Districts). Koches are found in West Bengal (Northern part) and also in Bangladesh. The speaker strength of Koch in India according to 2011 census is 36,434. Koch community is the bilingual speakers of Assamese, Bengali, Garo, Hindi, and English. Contact situations of Koch with Assamese and Bengali languages have made the language vulnerable to language shift. The UNESCO report mentions Koch as ‘Definitely Endangered’1. Koch has gained the status of a scheduled tribe in Meghalaya in 1987. Kondakov (2013) traces six distinct dialects of Koch, viz., Wanang, Koch-Rabha (Kocha), Harigaya, Margan, Chapra and Tintekiya. He (2013:24) states, “The relationship between the six Koch speech varieties are rather complex. They represent a dialect chain that stretches out from Koch-Rabha in the north to Tintekiya Koch in the south.” This is diagrammatically represented as - Koch-Rabha(Kocha)→Wanang→Harigaya→Margan, Chapra→Tintekiya where the adjacent dialects exhibit more lexical similarity than those at the ends. Nine ethno-linguistic varieties of Koch (also mentioned in Kondakov, 2013:5) have been reported during field investigation. These are Harigaya, Wanang, Tintekiya, Margan, Chapra, Satpariya, Sankar, Banai and Koch Mandai.

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17

Singha, Amrita, J. K. Sharma, and A. K. Singha. "Demographic Characteristics of Members of Farmer Producer Organisations (FPOs) in Effectiveness of Group Dynamics and their Perceived Constraints in Lower Brahmaputra Valley Zone of Assam, India." Asian Journal of Agricultural Extension, Economics & Sociology 42, no. 5 (April 5, 2024): 192–202. http://dx.doi.org/10.9734/ajaees/2024/v42i52427.

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The present study to investigate demographic profile of FPOs members in the effectiveness of group dynamics and their perceived constraints was conducted in Lower Brahmaputra Valley Zone (LBVZ) of Assam comprising six districts viz., Kamrup, Bongaigaon, Nalbari, Chirang, Barpeta and Goalpara. In doing so, it utilized the descriptive research design following an ex-post-facto approach to fulfil the objectives of the study. A total of eight FPOs promoted by Assam Agricultural University through CBBO-AAU and World Bank supported APART project were selected purposively. From each FPO, 15 active members were approached for data collection through personal interview method during 2022, which made 120 as final size of sample. The analysis of profile characteristics of the respondents revealed that majority of the respondents (FPOs members) in study areas were middle aged (66.67%) between 29 to 50 years with education level from high school to graduate/ above (80.83%), 64.17 percent were from small family size upto 4 members, 90.83 percent of the respondents had medium level of annual income (i.e. Rs 33190-379866.6), 46.67 percent had medium level of socio- political participation and 38.33 percent low and 35.83 percent high levels of material possession. The study also found that lack of co-ordination for different group activities, ineffective linkage and ineffective monitoring, lack of professional management, non-availability of timely credit and inadequate access to credit, weak financial position, absence of adequate market linkage, lack of storage facilities, distance from existing markets, lack of market information, lack of marketing knowledge and skills and difficulty in getting skilled labour were the perceived problems faced by FPO members in effective functioning of FPOs.

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18

Sharma, Anand, and M. S. Lakshmi Priya. "A community-based study on maternal mortality in Bongaigaon district, Assam." International Journal Of Community Medicine And Public Health, April 18, 2022. http://dx.doi.org/10.18203/2394-6040.ijcmph20221014.

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Background: Maternal mortality is an important indicator for measuring the health care provided to the women by any society. India has a high maternal mortality ratio and within India the state of Assam has the highest MMR in the country.Methods: A community based cross-sectional study was conducted during January 2021 till December 2021 in Bongaigaon district. The study included 10 maternal deaths occurred in Bongaigaon District in a year. The information regarding socio demographic, clinical information and reproductive parameters was collected from the verbal autopsy and the results were analyzed by using percentage.Results: Out of 13,124 total deliveries, maternal mortality was found to be 76 per 1,00,000 live births. The leading cause for maternal death is eclampsia (30.0%) followed by haemorrhage (20.0%), PIH (20.0%), heart failure (10.0%), anemia (10.0%), placental abruption with haemorrhage (10.0%).Conclusions: Teenage pregnancy is one the major concern in maternal and child health. There is a wide scope for improvement as a large proportion of the observed deaths were preventable.

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19

Brahma, Nirmali, and Akshay Kumar Haloi. "Altitudinal Variations in the Mound Nests of Termites <i>Odontotermes Wallonensis</i> and <i>O. obesus</i>." Indian Journal of Entomology, June 16, 2023, 01–06. http://dx.doi.org/10.55446/ije.2023.1130.

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The nesting form of the mound nest of species Odontotermes wallonensis(E. Wasmann) and Odontotermes obesus (Rambur) was studied in hilly and tropical deciduous forest area of Kakoijana Reserved Forest of Abhayapuri (Bongaigaon district). It was compared to the plain village forest area of Baksa district (Bajegaon Pather). The morphometric measurement such as height, circumference, depth of the mound nest and the royal chamber from the surface of the ground was recorded along with weight of fungus garden and queen and their sections were photographed. The outcomes revealed that the location of the nest influences the structure and characteristics of the nest. The young and established mound nests of species O. obesus and O. wallonensis in hilly and plain area had different shape, sizes and colour. The shade of the fungus garden was buff i.e., yellowish brown in young nest whereas it was blackish brown in established nests. The queen termite and the royal chamber unable to be excavated were in hilly area as compared to the plain area. In some of the mound nests, no traces of the queen termites and rest of the castes were observed; and the mound was dead i.e., abandoned after the death of queen termite.

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20

Debnath, Jatan, Dhrubajyoti Sahariah, Meghna Mazumdar, Durlov Lahon, Gowhar Meraj, Shizuka Hashimoto, Pankaj Kumar, et al. "Evaluating Flood Susceptibility in the Brahmaputra River Basin: An Insight into Asia's Eastern Himalayan Floodplains Using Machine Learning and Multi-Criteria Decision-Making." Earth Systems and Environment, December 8, 2023. http://dx.doi.org/10.1007/s41748-023-00358-w.

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AbstractFloods represent a significant threat to human life, property, and agriculture, especially in low-lying floodplains. This study assesses flood susceptibility in the Brahmaputra River basin, which spans China, India, Bhutan, and Bangladesh—an area notorious for frequent flooding due to the saturation of river water intake capacity. We developed and evaluated several innovative models for predicting flood susceptibility by employing Multi-Criteria Decision Making (MCDM) and Machine Learning (ML) techniques. The models showed robust performance, evidenced by Area Under the Receiver Operating Characteristic Curve (AUC-ROC) scores exceeding 70% and Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE) scores below 30%. Our findings indicate that approximately one-third of the studied region is categorized as moderately to highly flood-prone, while over 40% is classified as low to very low flood-risk areas. Specific regions with high to very high flood susceptibility include Dhemaji, Dibrugarh, Lakhimpur, Majuli, Darrang, Nalbari, Barpeta, Bongaigaon, and Dhubri districts in Assam; Coochbihar and Jalpaiguri districts in West Bengal; and Kurigram, Gaibandha, Bogra, Sirajganj, Pabna, Jamalpur, and Manikganj districts in Bangladesh. Owing to their strong performance and the suitability of the training datasets, we recommend the application of the developed MCDM techniques and ML algorithms in geographically similar areas. This study holds significant implications for policymakers, regional administrators, environmentalists, and engineers by informing flood management and prevention strategies, serving as a climate change adaptive response within the Brahmaputra River basin.

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