Trend of Foreign Currency Earnings by the Garment Sectors in Bangladesh

This study was an attempt to know the trend of foreign exchange earnings on garment sectors in Bangladesh. Secondary data was used for the period 1983-20013 to estimate this trend. Different statistical methods and trend models were used to perform the analysis. An upward trend of exchange earning has been observed over the study period. The semi-log trend model was found to be the best fitted model for the foreign exchange earnings on garment sector in Bangladesh. The results showed significantly upward trend with a growth rate 30.918 percent in this sector. Thus it is gratifying that the garment industry of the country is expanding day by day and to increase the growth rate, Bangladesh government need to take proper action for better economy. Key Words: Trend, Foreign currency, Economy, Garment sector, Banglades

Coming Stakes in the Ocean: Food Production, Shipping and Trade, Tourism, Ecosystem-biodiversity, New Technologies and Climate Change Challenges in Bangladesh

Blue economy is an emerging concept in all over the world where Bangladesh is not in exception. The blue economy of Bangladesh is subject to multiple interlinked activities. Among the major activities, food production, shipping and trade, tourism, ecosystem-biodiversity, new technologies and climate change challenges are the most promising sectors which are discussed in this chapter to project the present and future potential, constrains, ways to overcome in the context of the blue economy of Bangladesh following various published literatures. The review has revealed that Bangladesh has enormous resources which have great potential to uplift the existing economy, improving livelihoods, while significantly reducing environmental risks and ecological scarcities. However, there are lot of constrains which hinder to get the ultimate fruit from these potentialities. The major constrains include lack of policy, institutional or organizational structure and coordination, data or information, knowledge in innovating and diversifying marine products and services, marketing strategies, continuous scientific research, skilled manpower with motivation and dedication, public awareness, maritime security and concern in marine and coastal environment. Initiations to overcome these constrains with long and short term strategic plans and properly implementing the strategic decisions will bring the state more productive and could be a model country with blue economy approach

Performance Evaluation of t-SNE and MDS Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers

The central goal of this paper is to establish two commonly available dimensionality reduction (DR) methods i.e. t-distributed Stochastic Neighbor Embedding (t-SNE) and Multidimensional Scaling (MDS) in Matlab and to observe their application in several datasets. These DR techniques are applied to nine different datasets namely CNAE9, Segmentation, Seeds, Pima Indians diabetes, Parkinsons, Movement Libras, Mammographic Masses, Knowledge, and Ionosphere acquired from UCI machine learning repository. By applying t-SNE and MDS algorithms, each dataset is transformed to the half of its original dimension by eliminating unnecessary features from the datasets. Subsequently, these datasets with reduced dimensions are fed into three supervised classification algorithms for classification. These classification algorithms are K Nearest Neighbors (KNN), Extended Nearest Neighbors (ENN), and Support Vector Machine (SVM). Again, all these algorithms are implemented in Matlab. The training and test data ratios are maintained as ninety percent: ten percent for each dataset. Upon accuracy observation, the efficiency for every dimensionality technique with availed classification algorithms is analyzed and the performance of each classifier is evaluated.Comment: 2020 IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Banglades

Performance Analysis of Deep Autoencoder and NCA Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers

The central aim of this paper is to implement Deep Autoencoder and Neighborhood Components Analysis (NCA) dimensionality reduction methods in Matlab and to observe the application of these algorithms on nine unlike datasets from UCI machine learning repository. These datasets are CNAE9, Movement Libras, Pima Indians diabetes, Parkinsons, Knowledge, Segmentation, Seeds, Mammographic Masses, and Ionosphere. First of all, the dimension of these datasets has been reduced to fifty percent of their original dimension by selecting and extracting the most relevant and appropriate features or attributes using Deep Autoencoder and NCA dimensionality reduction techniques. Afterward, each dataset is classified applying K-Nearest Neighbors (KNN), Extended Nearest Neighbors (ENN) and Support Vector Machine (SVM) classification algorithms. All classification algorithms are developed in the Matlab environment. In each classification, the training test data ratio is always set to ninety percent: ten percent. Upon classification, variation between accuracies is observed and analyzed to find the degree of compatibility of each dimensionality reduction technique with each classifier and to evaluate each classifier performance on each dataset.Comment: 2nd International Conference on Innovation in Engineering and Technology (ICIET

Influence of plant nutrient management on the yield performance of transplant Aman rice (Oryza sativa L.)

The experiment was conducted at the Agronomy Field Laboratory, Bangladesh Agricultural University, Mymensingh, Bangladesh during June to December 2016 to investigate the influence of plant nutrient management on the yield performance of transplant Aman rice varieties. The experiment comprised four varieties viz., BRRIdhan70, BRRI dhan71, BRRI dhan72 and BRRIdhan73 and six nutrient managements viz. poultry manure 5 t ha-1, recommended dose of prilled urea, P, K, S, Zn (160, 65, 90, 70, 10 kg ha-1  of urea, TSP, MoP, Gypsum and Zinc sulphate, respectively), 75% of recommended dose of prilled urea and P, K, S, Zn + poultry manure 2.5 t ha-1, 50% of recommended dose of prilled urea and P, K, S, Zn + poultry manure 5 t ha-1, USG 1.8 g/4 hills and P, K, S, Zn recommended dose, USG 1.8 g/4 hills and P, K, S, Zn + poultry manure 2.5 t ha-1. The experiment was laid out in a randomized complete block design with three replications. Number of total tillers hill-1 (10.25), number of effective tillers hill-1(8.85), grains panicle-1 (94.23), 1000-grain weight (27.81), grain yield (5.88 t ha-1) and straw yield (8.83 t ha-1) were found to be the highest in BRRI dhan72. Among the nutrient management, USG 1.8 g/4 hills and P, K, S, Zn + poultry manure 2.5 t ha-1 exhibited its superiority  to other treatments in terms of plant height (131.0 cm), number of total tillers hill-1 (10.67), number of effective tillers hill-1 (9.13), grains panicle-1 (92.71), 1000-grain weight (26.82), grain yield (6.0 t ha-1) and straw yield (8.35 t ha-1). The highest grain yield (6.45 t ha-1) was found in BRRI dhan72 combined with USG 1.8 g/4 hills and P, K, S, Zn + poultry manure 2.5 t ha-1 and the lowest grain yield (4.85 t ha-1) was found in BRRI dhan71 fertilized with poultry manure 5 t ha-1. From the study, it can be concluded that transplant Aman rice cv. BRRI dhan72 fertilized with USG 1.8 g/4 hills and P, K, S, Zn + poultry manure 2.5 t ha-1 appears as the promising practice to obtain the highest grain yield

Rectangular Microstrip Patch Antenna at 2GHZ on Different Dielectric Constant for Pervasive Wireless Communication

In this Paper presents the result for different dielectric constant values and the result is performed by thickness of 2.88mm and resonance frequency of 2GHz where 2.32 (Duroid) are gives the best result. In the recent years the development in communication systems requires the development of low cost, minimal weight, low profile antennas   that are capable of maintaining high performance over a wide spectrum of frequencies.  This technological trend has focused much effort into the design of a Microstrip patch antenna. The proposed antenna design on different dielectric constant and analyzed result of all dielectric constant between 1 to 10, when the proposed antenna designs on Duroid substrate with dielectric constant 2.32. At 2GHz the verify and tested result on MATLAB are Radiation Efficiency=91.99%, Directivity=5.4dBi, Directive gain=4.98dBi and Half Power Beam Width-H plane=99.6123 degrees.DOI:http://dx.doi.org/10.11591/ijece.v2i3.34

Effect of age of seedlings at staggered planting and nutrient management on the growth performance of aromatic fine rice (Oryza sativa L. cv. BRRI dhan38)

The experiment was conducted at the Agronomy Field Laboratory, Bangladesh Agricultural University, Mymensingh during June to December 2014 with a view to finding out the effect of age of seedlings at staggered planting and nutrient management on growth of aromatic fine rice (cv. BRRI dhan38). The experiment comprised three ages of seedlings viz., 30, 45 and 60-day old and six treatment of nutrient managements viz. control (no manures and fertilizers),  recommended dose of inorganic fertilizers, 50% of recommended dose of inorganic fertilizers + cowdung @ 5 t ha-1, 75% of recommended dose of inorganic fertilizers + cowdung @ 5 t ha-1,  50% of recommended dose of inorganic fertilizers + poultry manure @ 2.5 t ha-1 and 75% of recommended dose of inorganic fertilizers + poultry manure @ 2.5 t ha-1. The experiment was laid out in a randomized complete block design with three replications. The effect of age of seedlings and nutrient management and their interaction were significant on crop growth characters of aromatic fine rice. The result revealed that the highest plant height, total tiller hill-1, total dry matter production hill-1 and CGR were found when 30-day old seedlings were transplanted. Among the nutrient managements the highest growth parameters was obtain in 75% of recommended dose of inorganic fertilizers + poultry manure @ 2.5 t ha-1 due to the continuous supply of nutrients by the combination of organic and inorganic fertilizer which led to better growth in plants. In 30-day old seedlings with 75% inorganic fertilizer + poultry manure @ 2.5 t ha-1 treatment performed best in case of all growth parameters, while the lowest one was observed in 60-day old seedlings with control. Therefore, 30-day old seedlings with 75% inorganic fertilizer + poultry manure @ 2.5 t ha-1 treatment might be a promising practice in aromatic fine rice cultivation in terms of growth performance

Effect of water and weed management in Boro rice (cv. BRRI dhan28) in Bangladesh

The experiment was conducted at the Farm of Farm Management Division, Bangladesh Agricultural University, Mymensingh during December 2012 to June 2013 to find out the effect of water and weed management in Boro rice (cv. BRRI dhan28). The experiment consisted of three irrigation systems viz., conventional flood irrigation, Alternate wetting and drying (AWD) and System of rice intensification (SRI) and four weed management practices viz., No weeding, hand weeding thrice at 20, 35 and 50 days after sowing, blade weeding + hand weeding once at 20 DAS; and pre-emergence herbicide (Panida 33 EC) @ 2.5 l ha-1 + hand weeding once at 20 DAS. Crop characters, yield components and yield were significantly influenced by water and weed managements, and their interaction. The highest plant height (91.51 cm), total tillers hill-1 (15.49), grains panicle-1 (86.87) and grain yield (4.02 t ha-1) were obtained in SRI method and corresponding lowest values were found in conventional flood irrigation while all parameters showed intermediate values in AWD. The highest plant height (93.45 cm), total tillers hill-1 (16.53), effective tillers hill-1 (12.88), grains panicle-1 (86.14), grain yield (5.47 t ha-1) and straw yield were found in pre-emergence herbicide (Panida 33 EC) @ 2.5 l ha-1 + one hand weeding at 20 DAS while all the parameters showed lowest values in weedy check. Weed infestation reduced 80.07% yield compared to application of pre-emergence herbicide (Panida 33 EC) @ 2.5 l ha-1 + one hand weeding at 20 DAS. In case of interaction, the highest total tillers hill-1 (20.93), grains panicle-1 (102.3) and grain yield (5.86 t ha-1) were found in SRI method with pre-emergence herbicide (Panida 33 EC) @ 2.5 l ha-1 + one hand weeding at 20 DAT while the lowest total tillers hill-1 (10.97), grains panicle-1 (61.46) and grain yield (0.91 t ha-1) were found in conventional flood irrigation having no weeding treatment. The above results concludes that SRI method with pre-emergence herbicide (Panida 33 EC) @ 2.5 l ha-1 + one hand weeding at 20 DAS appeared as the promising technique for appreciable grain yield of Boro rice (cv. BRRI dhan28)