Device Fingerprinting (DFP) is the identification of a device without using its network or other assigned identities including IP address, Medium Access Control (MAC) address, or International Mobile Equipment Identity (IMEI) number. DFP identifies a device using information from the packets which the device uses to communicate over the network. Packets are received at a router and processed to extract the information. In this paper, we worked on the DFP using Inter Arrival Time (IAT). IAT is the time interval between the two consecutive packets received. This has been observed that the IAT is unique for a device because of different hardware and the software used for the device. The existing work on the DFP uses the statistical techniques to analyze the IAT and to further generate the information using which a device can be identified uniquely. This work presents a novel idea of DFP by plotting graphs of IAT for packets with each graph plotting 100 IATs and subsequently processing the resulting graphs for the identification of the device. This approach improves the efficiency to identify a device DFP due to achieved benchmark of the deep learning libraries in the image processing. We configured Raspberry Pi to work as a router and installed our packet sniffer application on the Raspberry Pi . The packet sniffer application captured the packet information from the connected devices in a log file. We connected two Apple devices iPad4 and iPhone 7 Plus to the router and created IAT graphs for these two devices. We used Convolution Neural Network (CNN) to identify the devices and observed the accuracy of 86.7%.

Maize is considered one of the most essential dietary components in human food and animal feeding. The objectives of the present study were to quantify the effects of drought stress on qualitative traits of maize at grain-filling stages. Hybrids maize seeds were grown by applying full and water stress conditions during the grain filling stage. Various nutritional properties (crude oil, starch, grain protein content) were determined in 2014 and 2015 at the second crop growing season in Adana, Turkey. Based on the results of this study, genotype and environment were found to influence all quality traits significantly. Further, result of study suggest that water stress caused a significant reduction in major quality traits. Grain weight and grain quality yield as well crude oil, protein and ash yield were significantly decreased due to water deficit condition in the both growing seasons. Significant differences were observed among hybrids in respect of all measurements due to irrigation regimes. The genotypes, Sancia and Calgary were tolerant by producing higher grain weight. Accordingly, grain qualities of 71May69, Aaccel and Calgary maize hybrids were less affected under drought stress.

A yearlong study was carried out in indigenous cattle of five upazila namely Khagrachari Sadar, Laxmichari, Matiranga, Mahalchari and Dighinala in Khagrachari Hill District, Bangladesh for determination of statuses of various biochemical parameters. Apparently healthy cattle (100) were selected and blood samples were collected aseptically. Biochemical analysis of carbohydrates, proteins, fats, minerals, electrolytes and enzymes were performed by using automated biochemical analyzer (Humalizer ® -3000). The results showed that, the variations of parameters were not significant (p>0.05) between male and female. Although there was a slight increase of calcium (Mean±SEM) 8.01±0.32 mg/dl, glucose 69.21±2.31 mg/dl, LDL 5.69±0.22 mg/dl and uric acid 3.85±0.34 mg/dl of female compared to 7.34±0.42, 68.32±1.81, 5.05±0.25 and 3.37±0.27 of the male. On the other hand, SGOT (100.14±4.86 U/L) was slightly higher in male compared to the female (91.97±5.55). There was a slight variation in ALP (218.81±29.12 U/L) of growing cattle compared to the calf's (293.57±42.78) and production cattle (300.88±27.24), although the variation was not significant (p>0.05).

This study analyzes the Indonesian Village Fund (VF) Program by mapping each VF-related activity to all 17 SDGs (Sustainable Development Goals), and then determines an SDG-based VF allocation in 2018, 2019, and 2020. This study used data from all villages in Indonesia and is the most comprehensive study in Indonesia to address the knowledge gap between VF allocation and SDGs by analyzing the distribution of the use of the VF. The objectives of this paper are: (1) to provide the extent of VF usage to provide evidence on whether this utilization was aligned with the targeted SDGs, and (2) to provide information regarding village activities funded by the VF that were linked to each SDG. The results from this analysis can be used to encourage the Government to socialize and provide an understanding of SDGs to village leaders. Moreover, since Indonesia has developed Village SDGs, which are based on national SDG targets and localization of global SDGs to adapt to local culture as well as social and environmental conditions, it is recommended that other developing countries could formulate similar strategies to help achieve their national SDG targets and to develop rural areas in a more targeted way by prioritizing the most relevant issues. The study shares lessons learned from Indonesian experience in managing fiscal policy to more than 70,000 autonomous villages through the village fund program in the last five years.

To evaluate milk production performance in stall feeding dairy cattle in relation to associated biological factors such as age of cow, age of first calving, breed and number of parity at Central Cattle Breeding Station, Savar, Dhaka, a cross sectional study was performed on April, 2002 using a structured questionnaire. Local (21%), pure bred "Sahiwal" (12%) and cross bred (L×F1; L×F2; L×F3; SL×F2>) (67%) were the breed of studied cows (n = 62). The average age and milk production of the cow was 94.9 months and 3.9 liter/cow/day. The parity number and age at first calving of a cow were recorded to be average 4 and 43 months respectively. The younger cows (≤99 months) were 6.7 time more likely to have yielded >3 liters/cow/day than the older cows (>99 months) (p < 0.001). Cows with ≤4 parities were recorded to have 7.6 times more chance to produce milk of >3 liters/cow/day than cows with ≥4 parities (10.9%) (p < 0.001)). The milk production of >3 liters/cow/day is 39.3 times higher in the crossbred than the milk production in the local breed (p < 0.001). Keywords: Milk production, potential factors (age, age at first calving, breed, genotype and parity), dairy cattle  doi:10.3329/bjvm.v4i1.1527 Bangl. J. Vet. Med. (2006). 4 (1): 61-63