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Md. Parvez Rana,Md. Shawkat Islam Sohel,Sayma Akhter,Mohammad Rakibul Hassan 강원대학교 산림과학연구소 2009 Journal of Forest Science Vol.25 No.2
The Hajong are the ancient tribal forest community among the ethnic minorities of the North-East region of Bangladesh. The study was carried out with respect to three income groups highlighting their indigenous knowledge. A total of forty-five households (fifteen from each income groups) were assessed using different participatory appraisals through semi -structured questionnaires. A special type of indigenous knowledge on food habit was explored in the Hajong community, which correspond to the severe dependence on forest resources. They collect their food resources from homestead forest (45%) followed by forest (40%), market and others. They have indigenous hunting procedure to trap the animal in the forest. Twenty three tree species were tremendously planted in their homestead forests which are the very important source of food. Male are highly responsible to collect the food materials from forest as well as other sources.
A novel particle swarm optimization-based grey model for the prediction of warehouse performance
Md. Rakibul Islam,Syed Mithun Ali,Amir Mohammad Fathollahi-Fard,Golam Kabir 한국CDE학회 2021 Journal of computational design and engineering Vol.8 No.2
Warehouses constitute a key component of supply chain networks. An improvement to the operational efficiency and the productivity of warehouses is crucial for supply chain practitioners and industrial managers. Overall warehouse efficiency largely depends on synergic performance. The managers preemptively estimate the overall warehouse performance (OWP), which requires an accurate prediction of a warehouse’s key performance indicators (KPIs). This research aims to predict the KPIs of a ready-made garment (RMG) warehouse in Bangladesh with a low forecasting error in order to precisely measure OWP. Incorporating advice from experts, conducting a literature review, and accepting the limitations of data availability, this study identifies 13 KPIs. The traditional grey method (GM)—the GM (1, 1) model—is established to estimate the grey data with limited historical information but not absolute. To reduce the limitations of GM (1, 1), this paper introduces a novel particle swarm optimization (PSO)-based grey model—PSOGM (1, 1)—to predict the warehouse’s KPIs with less forecasting error. This study also uses the genetic algorithm (GA)-based grey model—GAGM (1, 1)—the discrete grey model—DGM (1, 1)—to assess the performance of the proposed model in terms of the mean absolute percentage error and other assessment metrics. The proposed model outperforms the existing grey models in projecting OWP through the forecasting of KPIs over a 5-month period. To find out the optimal parameters of the PSO and GA algorithms before combining them with the grey model, this study adopts the Taguchi design method. Finally, this study aims to help warehouse professionals make quick OWP estimations in advance to take control measures regarding warehouse productivity and efficiency.
Md. Parvez Rana,Md. Shawkat Islam Sohel,Sayma Akhter,Mohammad Rakibul Hassan 강원대학교 산림과학연구소 2009 Journal of Forest Science Vol.25 No.1
An ethno-medical investigation was carried out to understand the use of plants in indigenous health care practice of the Hajong tribe community in North Eastern Bangladesh. The study of ethnobotany relating to any tribe is in itself a very intricate or long-winded process. The present study was done through structured questionnaires in consultations with the tribal practitioners and has resulted in the documentation of 25 plant species belonging to 21 families including herbs (36%), shrubs (32%), trees (28%) and climber (4%) were frequently used by the Hajong tribe for curing 27 ailments. For curing ailments, the use of aboveground plant parts was higher (86.67%) than the underground plant parts (13.33%). Leaf was used in the majority of cases for medicinal preparation (13 species), followed by fruits (7 species), root/rhizome (4 species), whole plant (3 species) and besides these, seed, latex and bark were used one species each, respectively. The study thus underlines the potentials of the ethnobotanical research and the need for the documentation of indigenous healthcare knowledge pertaining to the medicinal plant utilization for the greater benefit of mankind.
Rana, Md. Parvez,Sohel, Md. Shawkat Islam,Akhter, Sayma,Hassan, Mohammad Rakibul Institute of Forest Science 2009 Journal of Forest Science Vol.25 No.1
An ethno-medical investigation was carried out to understand the use of plants in indigenous health care practice of the Hajong tribe community in North Eastern Bangladesh. The study of ethnobotany relating to any tribe is in itself a very intricate or long-winded process. The present study was done through structured questionnaires in consultations with the tribal practitioners and has resulted in the documentation of 25 plant species belonging to 21 families including herbs (36%), shrubs (32%), trees (28%) and climber (4%) were frequently used by the Hajong tribe for curing 27 ailments. For curing ailments, the use of aboveground plant parts was higher (86.67%) than the underground plant parts (13.33%). Leaf was used in the majority of cases for medicinal preparation (13 species), followed by fruits (7 species), root/rhizome (4 species), whole plant (3 species) and besides these, seed, latex and bark were used one species each, respectively. The study thus underlines the potentials of the ethnobotanical research and the need for the documentation of indigenous healthcare knowledge pertaining to the medicinal plant utilization for the greater benefit of mankind.
Rana, Md. Parvez,Sohel, Md. Shawkat Islam,Akhter, Sayma,Hassan, Mohammad Rakibul Institute of Forest Science 2009 Journal of Forest Science Vol.25 No.2
The Hajong are the ancient tribal forest community among the ethnic minorities of the North-East region of Bangladesh. The study was carried out with respect to three income groups highlighting their indigenous knowledge. A total of forty-five households (fifteen from each income groups) were assessed using different participatory appraisals through semi-structured questionnaires. A special type of indigenous knowledge on food habit was explored in the Hajong community, which correspond to the severe dependence on forest resources. They collect their food resources from homestead forest (45%) followed by forest (40%), market and others. They have indigenous hunting procedure to trap the animal in the forest. Twenty three tree species were tremendously planted in their homestead forests which are the very important source of food. Male are highly responsible to collect the food materials from forest as well as other sources.