Bangladesh Journal of Veterinary and Animal Sciences
The study was conducted in 10 different farms under 6 upazilas, i.e., Hathazari, Patiya, Anwara, ... more The study was conducted in 10 different farms under 6 upazilas, i.e., Hathazari, Patiya, Anwara, Boalkhali, Bakalia and Patenga of Chattogram district. The records of 50 crossbred dairy cattle (CDC) were collected for two crossbred dairy breeds, i.e., Holstein Friesian × Jersey (HF × J) and Holstein Friesian × Local (HF × L) from March to June 2019. Farms having ≥50 CDC with complete records of each cattle were selected for the study purpose. Results indicated that the genotype, supply of green roughage and concentrate, and feeding of CDC immediate before milking had significant (p<0.001) positive linear effect on average daily milk yield (ADMY). Supply of green roughage and concentrate had further positive quadratic and cubic effects (p<0.001) on ADMY. Postpartum period quadratically influenced the ADMY (p<0.05) although linear and cubic effects were nil (p>0.05). Parity and genotype had significant (p<0.05) positive effect on lactation period of the CDC. Among the H...
Bangladesh Journal of Veterinary and Animal Sciences
The study was conducted to explore the present status, production practices and cost-benefit anal... more The study was conducted to explore the present status, production practices and cost-benefit analysis of the existing backyard duck rearing systems in the rural areas of Comilla district, Bangladesh. A cross-sectional survey was conducted using simple random sampling technique and data were collected directly from the duck farmers through face to face interview using a structured questionnaire during 13th October to the 12th December 2019 from 4 villages under Laksam upazila of Comilla district. Socio-economic status of the duck farmers, feeding systems of ducks, availability of feeds for raising ducks, productive performance of scavenging ducks and cost-benefit analysis of raising ducks were evaluated. Results indicated that the most of the duck farmers (56%) were middle aged (25- 50 years). About 66.0% of them had only primary education. Majority of them (56%) were landless. Only 18.0% of them owned large duck flocks (75-200). The ducks attained sexual maturity at the age of 6.0 m...
Disease samples are naturally fewer than healthy samples which introduces bias in the training of... more Disease samples are naturally fewer than healthy samples which introduces bias in the training of machine learning (ML) models. Current study focuses in learning discriminating patterns between cesarean and non-cesarean phenomena based on a dataset consisting of 161 features of total 692 cesarean and 5465 non-cesarean samples which comes as four folds based on four different hospitals (hospital A, B, C and D). The dataset is noisy, contains missing values, features are at different scales and above all, 161 features are quite a large in number and risks containing unnecessary information with respect to learning to separate the C-section class from non-cesarean.This study introduced a data pre-processing pipeline, resolving issues with data imbalance, handling missing values, identifying and deleting outliers, etc. A novel ensemble model is proposed which is able to consistently perform better irrespective of data volumes (data fold A, A+B, A+B+C and A+B+C+D) and pre-processing pipeline and achieved 96-99% accuracy across data volumes. Finally, the proposed model's decision-making was explained in terms of prominent features where higher values of features like Episiotomy, age of women and Fetal intrapartum pH accounts for causing C-section. INDEX TERMS Cesarean section, feature selection, data balancing, machine learning, explainable AI.
Total 288 Ross-308 male broiler chicks were randomly distributed in a complete block design at 2×... more Total 288 Ross-308 male broiler chicks were randomly distributed in a complete block design at 2×3 (Two different phytochemicals, i.e., Azadirachta indica, and Curcuma longa at three different levels, i.e., 0, 0.063, and 0.125% of the basal diet) factorial arrangement. Final live weight (FLW), average daily feed intake (ADFI), average daily gain (ADG), feed efficiency (FE), carcass characteristics, cardio-pulmonary morphometry, haemato-biochemical indices, gut morphology, ileal nutrient digestibility, tibia morphometry, meat quality and fatty acid profile were measured. Results indicated that, supplementation of Azadirachta indica leaf meal (AILM) decreased the FLW, ADFI, ADG, gizzard weight, right ventricular diameter and increased the FE, tibia calcium content, left ventricular weight and the ratio of right and left ventricle. The AILM substantially increased the malonaldehyde concentration in the Pectoralis major muscle of the broiler chicken at 7th and day 14th days. The Curcuma...
International Journal of Wireless & Mobile Networks
This paper presents the design procedure of the NS-3 script for WLAN that is organized according ... more This paper presents the design procedure of the NS-3 script for WLAN that is organized according to the hierarchical manner of TCP/IP model. We configure all layers by using NS-3 model objects and set and modify the values used by objects to investigate the effects of MAC parameters (access mechanism, CWmin, CWmax and retry limit) on the performance metrics viz. packet delivery ratio, packet lost ratio, aggregated throughput, and average delay. The simulation results show that RTS/CTS access mechanism outperforms basic access mechanism in saturated state, whereas the MAC parameters have no significant impact on network performance in non-saturated state. A higher value of CWmin improves the aggregated throughput in expense of average delay. The tradeoff relationships among the performance metrics are also observed in results for the optimal values of MAC parameters. Our design procedure represents a good guideline for new NS-3 users to design and modify script and results greatly be...
Journal of Animal Physiology and Animal Nutrition, 2021
The crossbred dairy cattle (CDC) have been gaining popularity in the tropical countries for their... more The crossbred dairy cattle (CDC) have been gaining popularity in the tropical countries for their increased milk yield within a short period of time because of heterogenic additive gene action. Hence, we aimed to investigate whether genotype, parity, season and their interactions had any effect on average daily milk yield (ADMY) of the CDC in a dairy farm at Chattogram district, Bangladesh, for a period of 3 years from January 2016 to December 2019. Total 16,425 retrospective lactation records of 150 multiparous Sahiwal × Friesian1 (Sahiwal = 50%, HF = 50%), Local × Friesian1 (Local = 50%, HF = 50%) and Local × Friesian2 (Local = 25%, HF = 75%) CDC from the first to the third parities (50 for each parity) were collected from the farm records. The generalized linear model and principal component analysis identified substantial impacts of genotype, parity, season and their interactions on ADMY of the CDC. The herd level least squared ADMY was 11.22 ± 0.04 kg/days on a 305-days typical lactation period. The Sahiwal × Friesian1 CDC produced 7.2% and 5.5% more milk than the Local × Friesian1 and Local × Friesian2 respectively. The CDC produced maximum milk in the second parity, which was 7.8% and 0.34% more than the first and third parities. Similarly, the highest ADMY was recorded in the spring, which was 10.8%, 7.3% and 6.6% more than the fall, summer and winter respectively. It was concluded that the Sahiwal × Friesian1 crossbred produced maximum milk in the spring season at the second parity while other determinants remained constant. The changing patterns of milk yield in different genotype, parity and seasons provided scientific evidence for improving feeding strategy to optimize herd level milk yield of CDC in the commercial dairy farms under tropical perspective.
Journal of theoretical and applied information technology, 2020
In past few eras, emotion recognition from speech is one of the hottest research topic in the fie... more In past few eras, emotion recognition from speech is one of the hottest research topic in the field of Human Computer Interaction. Many researches are going on various types of language, but for Bengali language, it is still very novice. In this work, 4 emotional state have been recognized i.e. happy, sad, angry and neutral from Bengali Speech Dataset. Proposed approach uses Pitch and Mel-frequency Cepstral Coefficient (MFCC) feature vectors to train k-Nearest Neighbor classifier for this work. A self-built Bengali emotional speech dataset has been used for both training and testing purpose. The dataset consists of consist of 50 people with 400 isolated emotional sentences. Using this dataset and above technique, we achieved 87.50% average accuracy rate, with detection accuracy each emotion (happy, sad, angry, neutral) respectively 80.00%, 75.00%, 85.00% and 75.00% in this work.
International Journal of Computer Science and Software Engineering, 2020
Security of data is the challenging aspects of modern information technology. An improved cryptol... more Security of data is the challenging aspects of modern information technology. An improved cryptology algorithm is introduced in this paper to offer comparatively higher security. We divide our message into several blocks as 8bits per block then convert each character into its corresponding positional number, where uppercase letters, lowercase letters, digits and special characters are mapped into some range of numbers. Then replace each decimal number into their binary equivalent consisting of 7-bits. Then combine 8 blocks of binary numbers into a single string. After performing some operation on the data, we get the final encrypted message. For decryption, we use same method in reverse way. Taking the decrypted message we perform some basic operation as replacing by binary or equivalent decimal and position then we get the original message back. Though the length of the encrypted message is larger than original message in this proposed algorithm, it offers higher security for the r...
Bangladesh Journal of Veterinary and Animal Sciences
The study was conducted in 10 different farms under 6 upazilas, i.e., Hathazari, Patiya, Anwara, ... more The study was conducted in 10 different farms under 6 upazilas, i.e., Hathazari, Patiya, Anwara, Boalkhali, Bakalia and Patenga of Chattogram district. The records of 50 crossbred dairy cattle (CDC) were collected for two crossbred dairy breeds, i.e., Holstein Friesian × Jersey (HF × J) and Holstein Friesian × Local (HF × L) from March to June 2019. Farms having ≥50 CDC with complete records of each cattle were selected for the study purpose. Results indicated that the genotype, supply of green roughage and concentrate, and feeding of CDC immediate before milking had significant (p<0.001) positive linear effect on average daily milk yield (ADMY). Supply of green roughage and concentrate had further positive quadratic and cubic effects (p<0.001) on ADMY. Postpartum period quadratically influenced the ADMY (p<0.05) although linear and cubic effects were nil (p>0.05). Parity and genotype had significant (p<0.05) positive effect on lactation period of the CDC. Among the H...
Bangladesh Journal of Veterinary and Animal Sciences
The study was conducted to explore the present status, production practices and cost-benefit anal... more The study was conducted to explore the present status, production practices and cost-benefit analysis of the existing backyard duck rearing systems in the rural areas of Comilla district, Bangladesh. A cross-sectional survey was conducted using simple random sampling technique and data were collected directly from the duck farmers through face to face interview using a structured questionnaire during 13th October to the 12th December 2019 from 4 villages under Laksam upazila of Comilla district. Socio-economic status of the duck farmers, feeding systems of ducks, availability of feeds for raising ducks, productive performance of scavenging ducks and cost-benefit analysis of raising ducks were evaluated. Results indicated that the most of the duck farmers (56%) were middle aged (25- 50 years). About 66.0% of them had only primary education. Majority of them (56%) were landless. Only 18.0% of them owned large duck flocks (75-200). The ducks attained sexual maturity at the age of 6.0 m...
Disease samples are naturally fewer than healthy samples which introduces bias in the training of... more Disease samples are naturally fewer than healthy samples which introduces bias in the training of machine learning (ML) models. Current study focuses in learning discriminating patterns between cesarean and non-cesarean phenomena based on a dataset consisting of 161 features of total 692 cesarean and 5465 non-cesarean samples which comes as four folds based on four different hospitals (hospital A, B, C and D). The dataset is noisy, contains missing values, features are at different scales and above all, 161 features are quite a large in number and risks containing unnecessary information with respect to learning to separate the C-section class from non-cesarean.This study introduced a data pre-processing pipeline, resolving issues with data imbalance, handling missing values, identifying and deleting outliers, etc. A novel ensemble model is proposed which is able to consistently perform better irrespective of data volumes (data fold A, A+B, A+B+C and A+B+C+D) and pre-processing pipeline and achieved 96-99% accuracy across data volumes. Finally, the proposed model's decision-making was explained in terms of prominent features where higher values of features like Episiotomy, age of women and Fetal intrapartum pH accounts for causing C-section. INDEX TERMS Cesarean section, feature selection, data balancing, machine learning, explainable AI.
Total 288 Ross-308 male broiler chicks were randomly distributed in a complete block design at 2×... more Total 288 Ross-308 male broiler chicks were randomly distributed in a complete block design at 2×3 (Two different phytochemicals, i.e., Azadirachta indica, and Curcuma longa at three different levels, i.e., 0, 0.063, and 0.125% of the basal diet) factorial arrangement. Final live weight (FLW), average daily feed intake (ADFI), average daily gain (ADG), feed efficiency (FE), carcass characteristics, cardio-pulmonary morphometry, haemato-biochemical indices, gut morphology, ileal nutrient digestibility, tibia morphometry, meat quality and fatty acid profile were measured. Results indicated that, supplementation of Azadirachta indica leaf meal (AILM) decreased the FLW, ADFI, ADG, gizzard weight, right ventricular diameter and increased the FE, tibia calcium content, left ventricular weight and the ratio of right and left ventricle. The AILM substantially increased the malonaldehyde concentration in the Pectoralis major muscle of the broiler chicken at 7th and day 14th days. The Curcuma...
International Journal of Wireless & Mobile Networks
This paper presents the design procedure of the NS-3 script for WLAN that is organized according ... more This paper presents the design procedure of the NS-3 script for WLAN that is organized according to the hierarchical manner of TCP/IP model. We configure all layers by using NS-3 model objects and set and modify the values used by objects to investigate the effects of MAC parameters (access mechanism, CWmin, CWmax and retry limit) on the performance metrics viz. packet delivery ratio, packet lost ratio, aggregated throughput, and average delay. The simulation results show that RTS/CTS access mechanism outperforms basic access mechanism in saturated state, whereas the MAC parameters have no significant impact on network performance in non-saturated state. A higher value of CWmin improves the aggregated throughput in expense of average delay. The tradeoff relationships among the performance metrics are also observed in results for the optimal values of MAC parameters. Our design procedure represents a good guideline for new NS-3 users to design and modify script and results greatly be...
Journal of Animal Physiology and Animal Nutrition, 2021
The crossbred dairy cattle (CDC) have been gaining popularity in the tropical countries for their... more The crossbred dairy cattle (CDC) have been gaining popularity in the tropical countries for their increased milk yield within a short period of time because of heterogenic additive gene action. Hence, we aimed to investigate whether genotype, parity, season and their interactions had any effect on average daily milk yield (ADMY) of the CDC in a dairy farm at Chattogram district, Bangladesh, for a period of 3 years from January 2016 to December 2019. Total 16,425 retrospective lactation records of 150 multiparous Sahiwal × Friesian1 (Sahiwal = 50%, HF = 50%), Local × Friesian1 (Local = 50%, HF = 50%) and Local × Friesian2 (Local = 25%, HF = 75%) CDC from the first to the third parities (50 for each parity) were collected from the farm records. The generalized linear model and principal component analysis identified substantial impacts of genotype, parity, season and their interactions on ADMY of the CDC. The herd level least squared ADMY was 11.22 ± 0.04 kg/days on a 305-days typical lactation period. The Sahiwal × Friesian1 CDC produced 7.2% and 5.5% more milk than the Local × Friesian1 and Local × Friesian2 respectively. The CDC produced maximum milk in the second parity, which was 7.8% and 0.34% more than the first and third parities. Similarly, the highest ADMY was recorded in the spring, which was 10.8%, 7.3% and 6.6% more than the fall, summer and winter respectively. It was concluded that the Sahiwal × Friesian1 crossbred produced maximum milk in the spring season at the second parity while other determinants remained constant. The changing patterns of milk yield in different genotype, parity and seasons provided scientific evidence for improving feeding strategy to optimize herd level milk yield of CDC in the commercial dairy farms under tropical perspective.
Journal of theoretical and applied information technology, 2020
In past few eras, emotion recognition from speech is one of the hottest research topic in the fie... more In past few eras, emotion recognition from speech is one of the hottest research topic in the field of Human Computer Interaction. Many researches are going on various types of language, but for Bengali language, it is still very novice. In this work, 4 emotional state have been recognized i.e. happy, sad, angry and neutral from Bengali Speech Dataset. Proposed approach uses Pitch and Mel-frequency Cepstral Coefficient (MFCC) feature vectors to train k-Nearest Neighbor classifier for this work. A self-built Bengali emotional speech dataset has been used for both training and testing purpose. The dataset consists of consist of 50 people with 400 isolated emotional sentences. Using this dataset and above technique, we achieved 87.50% average accuracy rate, with detection accuracy each emotion (happy, sad, angry, neutral) respectively 80.00%, 75.00%, 85.00% and 75.00% in this work.
International Journal of Computer Science and Software Engineering, 2020
Security of data is the challenging aspects of modern information technology. An improved cryptol... more Security of data is the challenging aspects of modern information technology. An improved cryptology algorithm is introduced in this paper to offer comparatively higher security. We divide our message into several blocks as 8bits per block then convert each character into its corresponding positional number, where uppercase letters, lowercase letters, digits and special characters are mapped into some range of numbers. Then replace each decimal number into their binary equivalent consisting of 7-bits. Then combine 8 blocks of binary numbers into a single string. After performing some operation on the data, we get the final encrypted message. For decryption, we use same method in reverse way. Taking the decrypted message we perform some basic operation as replacing by binary or equivalent decimal and position then we get the original message back. Though the length of the encrypted message is larger than original message in this proposed algorithm, it offers higher security for the r...
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