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The physical and engineering properties of the urea (46-0-0), ammonium phosphate (16-20-0), potash (0-0-60), and their fertilizer combination were studied to design the hopper for the fertilizer application unit. The six important properties discussed were angle of repose, moisture content, particle size distribution, flowability, crushing strength and coefficient of kinetic friction. The largest angle of repose values was 33°, 35°, 41° and 47° for urea, ammonium phosphate, potash and their combination respectively. The bulk density value for fertilizer combination was considered for the design of hopper, as the mixture of three fertilizers were applied in the field and its value was 0.92 g cm-3. The urea has lowest coefficient of friction compared to others, which is 0.3. The flowability of the fertilizer was free and the crushing strength of ammonium phosphate and urea was having medium hardness compared to potash, which is very soft. The observed engineering properties viz., flowability, coefficient of friction, moisture content, angle of repose were satisfactory for designing the mechanical fertilizer applicator and bulk density for the volume required for the storage of fertilizer.

Plentiful accessibility of fuels, non-erratic, reliable performance, low maintenance, low cost and high life are the significant factors for solar-PV-powered water pumping scheme for irrigation applications. It is highly used in irrigation system for cultivation where the utility-grid is non-available, hilly areas, forests, etc., by utilizing solar source with energy conversion methodology. However, the performance of overall irrigation scheme relies on energy conversion methodology by using feasible DC–DC converter. In this paper, a novel non-isolated switching cell type DC–DC converter has been proposed for acquiring greater performance of Brushless-DC motor to lift the water from ponds or canal through submersible pump. This observation is clearly presented and validated under steady-state condition by using Xilinx FPGA SPARTAN-6 hardware prototype; results are carried out and compared with various converter topologies.

Due to the rapid growth and use of Emerging technologies such as Artificial Intelligence, Machine Learning and Internet of Things, Information industry became so popular, meanwhile these Emerging technologies have brought lot of impact on human lives and internet network equipment has increased. This increment of internet network equipment may bring some serious security issues. A botnet is a number of Internet-connected devices, each of which is running one or more bots.The main aim of botnet is to infect connected devices and use their resource for automated tasks and generally they remain hidden. Botnets can be used to perform Distributed Denial-of-Service (DDoS) attacks, steal data, send spam, and allow the attacker to access the device and its connection. In this paper we are going to address the advanced Botnet detection techniques using Machine Learning. Traditional botnet detection uses manual analysis and blacklist, and the efficiency is very low. Applying machine learning to batch automatic detection of botnets can greatly improve the efficiency of detection. Using machine learning to detect botnets, we need to collect network traffic and extract traffic characteristics, and then use X-Means, SVM algorithm to detect botnets. According to the difference of detection features, botnet detection based on machine learning technology is divided into network traffic analysis and correlation analysis-based detection technology. KEYWORDS: Botnet, Study, Security, Internet-network, Machine Learning, Techniques.

Over the past few decades, access to abundant and easily available fossil sources aided in remarkable advancements in technologies and rapid urbanization. The unparalleled growth in population and migration of rural residents to the urban areas have transformed cities to hotspots for major anthropogenic activities, seminal contact points between natural and socio-economic activities, and areas responsible for generation of more than 80% of gross domestic product (GDP). This has placed cities at a crossroad of facing environmental grand challenges posed by population expansion, climate change, and depleting resources. Ushered by these problems, cities are directing the course of waste utilization towards sustainable production and consumption strategies by adopting the principles of circular economy (CE). This organic waste generated in huge quantities can be considered as a valuable resource in the urban biocycles. The present article highlights the importance of looping back this biogenic organic waste (domestic) to a certain extent in a decentralized way. It offers an eco-centric view to adopt circular urban food practices by constructing and operating a keyhole garden (KHG) as a case study. This approach works in synergy with nature and adopts the principles of biomimicry and cradle to cradle, wherein waste is reintroduced into the system as input resources or is metamorphosed to valuable materials. It underlines the role of CE approaches to spark this transformation and strategically direct the flow of valuable domestic waste resources to close the urban nutrient loops in a decentralized and regenerative approach. While the solutions to close the loop and recycle wastes address the end of pipe problems, the community-based innovation strategies aim at building resilience, producing food more locally, limiting the use of fertilizers, conserving water, and also combating climate change. Graphical Abstract

Electrofermentation (EF) was used to overcome the thermodynamic limitations of conventional microbial fermentation and regulate the metabolism towards specific biobased products synthesis. Three single chambered EF systems (Applied potential (AP: −0.6 V), Closed circuit (CC: 100 Ω), Control (C)) were individually operated using composite canteen based food waste (FW) (COD-10 g/l) to comparatively analyze the effect of electrical stimulation on enhancing rate of fermentation. The total volatile fatty acids (VFA) showed higher production in AP (4595 mg/l) when compared to CC (3593 mg/l) and C (2666 mg/l). Fatty acid profiles (C2–C4) with individual compositions showed higher amount of acetic acid (C2: HAc) followed by butyric acid (C4: HBu) and propionic acid (C3: HPr). AP showed higher amount of C2: HAc (3221 mg/l) followed by C4: HBu (900 mg/l) and C3: HPr (474 mg/l), while CC showed higher C2: HAc (2332 mg/l) followed by C4: HBu (1233 mg/l) and C3: HPr (388 mg/l) when compared to C which showed higher C2: HAc (1422 mg/l) followed by C4-HBu (655 mg/l) and C3-HPr (589 mg/l). Co-generation of biogas was higher in AP [bioH2 (26%) and bioCH4 (4%)] followed by CC [bioH2 (22%) and bioCH4 (1.3%)] and C [bioH2 (11%) and bioCH4 (6%)]. Fermentation induced with electron flux mechanism depicted the ability to elongate the chain length. Electrochemical characterization showed distinct disparity in electron transfer rates (Kapp) along with waste remediation. The inferences concluded the key role of electrical stimulation on fermentation to enhance the conversion of conventional substrates to targeted carboxylic acids. Biohythane, an alternate renewable biofuel was also produced when bioH2 and bioCH4 are mixed in appropriate ratios. EF is an emerging technology that could open new frontiers in waste biorefinery by integrating bioprocesses for platform chemicals production through sustainable microbial electrochemical technologies.

In microbial electrochemical systems, transport of electrons from bacteria to an electrode is the key to its functioning. However, the roles of several electron transport proteins, especially the membrane-bound dehydrogenases which link cellular metabolism to EET pathway are yet to be identified. NDH-2 is a non-proton pumping NADH dehydrogenase located in the inner membrane of several bacteria like Bacillus subtilis, Escherichia coli, etc. Unlike NADH dehydrogenase I, NDH-2 is not impeded by a high proton motive force thus helping in the increase of metabolic flux and carbon utilization. In the current study, NADH dehydrogenase II protein (NDH-2) was heterologously expressed from B. subtilis into E. coli BL21 (DE3) for enhancing electron flux through EET pathway and to understand its role in bioelectrogenesis. We found that E. coli expressing NDH-2 has increased the electron flux through EET and has shown a ninefold increase in current (4.7 μA) production when compared to wild strain with empty vector (0.52 μA). Furthermore, expression of NDH-2 also resulted in increased biofilm formation which can be corroborated with the decrease in charge transfer resistance of NDH-2 strain and increased NADH oxidation. It was also found that NDH-2 strain can reduce ferric citrate at a higher rate than wild type strain suggesting increased electron flux through electron transport chain due to NADH dehydrogenase II activity. Purified NDH-2 was found to be ∼42 kDa and has FAD as a cofactor. This work demonstrates that the primary dehydrogenases like NADH dehydrogenases can be overexpressed to increase the electron flux in EET pathway which can further enhance the microbial fuel cells performance.

This paper presents an innovative approach for data fusion of asynchronous, multi-rate, multi-sensor data in real time. This technique is based on state vector data fusion. For air defence applications, the target information from multi sensors is sent to a central control centre to create a complete threat scenario which would be used for taking appropriate decision. This target data needs to be sent in real time, hence there is a need for low bandwidth consuming data fusion algorithms but at the same time there should be minimal degradation in data accuracy. The optimal fusion algorithm requires the entire state covariance information matrix to be transmitted to the data fusion centre, however this requires huge bandwidth for transmission of data. To avoid this generally, only diagonal elements are transmitted at the cost of considerable degradation in performance. The authors present an innovative approach by considering the only covariance of position, velocity and acceleration but by neglecting the cross covariance terms among position, velocity and acceleration. The accuracy of this proposed algorithm is about 95% of that of optimal method but the reduction in bandwidth requirement is of the order of 60%.

Short chain carboxylic (volatile fatty) acid (VFA) production in mixed microbiomes is majorly limited by the prevalence of methanogenic bacteria and the availability of substrate from waste to the biocatalyst during the fermentation process. To enhance the VFA production from food waste, the present study evaluates a strategy for selective enrichment of the biocatalyst by exposing it to acid-shock, followed by operation under alkaline conditions (pH 10). A comprehensive system based analysis was carried out during the bio-based platform chemical synthesis from waste, in conjugation with microbial profiling and bio-electrochemical analysis. After the selective enrichment of the biocatalyst, enhanced VFA synthesis was conducted with pretreated biocatalyst (PT; 11.1 g L−1) and compared with untreated parent biocatalyst (UT; 6.1 g L−​1). In both systems biohydrogen was the co-product. Variations in the VFA profiles were documented with respect to the biocatalyst used, which influenced the degree of acidification (DOA – PT: 37% and UT: 11%). A high fraction of acetic acid (6.9 g L−1) was observed, followed by butyric acid (2.6 g L−1) and propionic acid (1.3 g L−1) in PT operation, contrary to the control system (acetic acid, 3.9 g L−1, butyric acid, 1.6 g L−1; propionic acid, 0.9 g L−1). Specifically, the PT system showed the biosynthesis of iso-valeric acid: 0.15 g L−1 (C5) and caproic acid: 1.9 g L−1 (C6), which indicates the possibility for chain-elongation through the selective enrichment of the microbial community. The PT system showed Epeak at −0.415 V on the cyclic voltammogram, which corresponds to the involvement of the redox couple, H+/H2, correlating with the enhanced acidogenic process, unlike UT. Tailoring of the parent inoculum (pretreatment) resulted in the enrichment and enhancement of the capabilities of the biocatalyst in secreting the redox mediators, which were not detected in the UT system. Acidogenic firmicutes (spore formers) and fatty acid producing bacteroides were enriched in the PT system along with saccharolytic and proteolytic bacteria (Bacillus cellulosilyticus (alkalophile), Soehngenia saccharolytica, etc.). The presence of Clostridium autoethanogenum and Propionibacterium freudenreichii in the PT system supports effective utilization of complex carbohydrates, facilitating acidification.

Bilateral asymmetric traumatic hip dislocation without an associated fracture of the pelvis or femur occurring in an young adult with no previous history of hip abnormality or ligamentous laxity is a rarity. There were only 58 such cases reported in literature till date. Here is a 28 year old male patient presented to our Department of Orthopaedics and Traumatology, Rangaraya Medical College, Kakinada, Andhrapradesh, India with a history of fall from mango tree with bilateral asymmetric traumatic hip dislocation. The mode if injury is fall from a height. The dislocations were promptly reduced by closed method. Serial follow-up revealed no complications.

“EFFI-CYCLE” derived from Efficient-Cycle promotes reducing dependency on fossil fuels for domestic transport application. The objective of this paper is to conceive, design and fabricate a three-wheel configuration (tad-pole design) vehicle powered by human-electric hybrid power and capable of seating two passengers catering to the day to day mobility needs. PTC Creo 3.0 software is used for geometric modelling of the vehicle’s frame. To ensure the safety of the design the model is then imported into ANSYS V16.2 for impact analyses. Results in terms of deformation, strain and von Mises stresses are plotted. After successfully completing the design and simulation of the frame and other components it is then fabricated in the college’s (S R Engineering College, Warangal) workshop.

This paper deals with experimental investigation on mechanical properties of M20 grade concrete by incorporating polyester fibers in the mix. Polyester fibers of 0.1%,0.2%,0.3%,0.4% by weight of cement are added to the mix. A comparitive analysis has been carried out for conventional concrete to that of the fiber reinforced in relation to compressive, split tensile, flexural strengths. As the fiber content increases compressive, split tensile and flexural strengths are proportionally increasing. It is observed that 0.3% fibers by weight of cement is the optimum dosage. It is found that with 0.3% fiber content results in 20% reduction of pavement thickness.

Switch Mode rectifiers for power-factor correction have gained considerable attention, due to the increasing demand for improved power quality. A new three-phase single-stage rectifier with Brushless DC motor is proposed in this paper. Each converter operates in the continuous conduction mode (CCM), which allows a high power factor and a small EMI filter. The outstanding features of the proposed rectifier are that it can produce input currents that do not have dead band regions and an output current that can be continuous when the converter is operating from maximum load to at least half of the load. Here we proposed full bridge converter with machine load condition system is validated through MATLAB/SIMULINK Platform.

Truck industry is a major source of transportation in India. With an average truck travelling about 300 kilometers per day [1], every kilogram of truck weight is of concern to the industry in order to get the best out of the truck. The main objective of this project is to increase the payload capacity of automotive truck body. Every kilogram of increased vehicle weight will decrease the vehicle payload capacity in turn increasing the manufacturing cost and reducing the fuel economy by increase the fuel consumption. With the intension of weight reduction, standard truck body has been designed and analyzed in ANSYS software. C-cross section beams were used instead of conventional rectangular box sections to reduce the weight of the body. Light-weight Aluminum alloy Al 6061 T6 is used to increase the payload capacity. The strength of the Truck platform is monitored in terms of deformation and stress concentration. These parameters will be obtained in structural analysis test condition environment. For reducing the stress concentration the concept of beams of uniform strength is used. Accordingly necessary modifications are done so that the optimized model has a better stress distribution and much lesser weight compared to the conventional model. The results obtained by analyzing the modified model are compared with the standard model.