In this study, pedestrian flow parameters are studied taking into account linear and non-linear relationships among stream flow parameters using realistic approach. Relation between speed and density serves as a fundamental relation. In the study, single-regime concepts and deterministic models such as Greenshields model was used to describe bidirectional flow characteristics on sidewalks and carriages around Visakhapatnam’s transport terminals. Linear regression model is suggested and compared with the other deterministic models. Flow parameters are estimated by LR model using Minitab. Also, linear regression model between observed and estimated values for speed and flow parameters, gives better fitness to predict data as compared to deterministic model. R(Risk indictor) value for speed data prediction and flow data prediction is calculated at sidewalk movement around transport terminal in Visakhapatnam.

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Vehicular networks plan to give a communication structure to moving vehicles, street foundation and walkers. Such sort of networks is the passage to another time of administrations that will make zones, for example, security and wellbeing, data, exchanges, amusement and supportability (green transportation) more effective than they are today, particularly in the up and coming period of self-sufficient vehicles and self-driving vehicles. Be that as it may, the serious idea of vehicular situations causes productive to entomb vehicular communication hard to accomplish. Vehicular Delay-Tolerant Networks (VDTN), as these networks are called, has inadequate, discontinuous associations, and the absence of a fixed geography offers ascend to one of the primary difficulties that they face: packet routing. A scope of routing calculations has been proposed as of late to advance communication in vehicular networks, and critical advancement has been made in the issue however the mission for the ideal exhibition is as yet progressing. In this paper, we proposed DAERP way to deal with the routing issue in VDTN, proposing a routing engineering and calculation dependent on Deep Neural Networks that assists switches with settling on packet sending choices dependent on the current states of its environmental factors. So as to evaluate the presentation of the proposed engineering, recreations were run indicating significant increases regarding network overhead and jump check as for well known switches, while keeping up adequate packet conveyance rates and normal conveyance delays.

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Mumbai metro line 1 (Ghatkopar-Versova) was implemented in 2014 to provide a superior network between suburban parts of Mumbai metropolitan region (MMR). Besides connectivity, it was aimed at reducing the traffic congestion and mitigation of greenhouse gases (GHG), carbon monoxide (CO), hydrocarbons (HC), oxides of nitrogen (NOx), particulate matter (PM) were the focal points behind implementation of metro. The study estimates curtailment in CO2 emission due to modal shift of commuters to metro from public/private transport modes and rooftop solar photovoltaic (SPV) plants commissioned on each station & a car shed. Analysis shows modal shift and rooftop SPV plants resulted in chopping of 58.73 ton of CO2 emission per day but since operation of metro rail emits 75.6 ton CO2 emission per day, it is yet to achieve mitigation in greenhouse gases (GHG). However, it is identified that in the near future increase in ridership can achieve significant reduction.

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Blockchain Technology had the foremost impact on our lifestyles within the last decade. many of us still confuse Blockchain with Bitcoin, however they are not a similar. Bitcoin is associate application that uses Blockchain technology. However, as a distributed technology blockchain as a robust tool may be used for Brobdingnagian way of life applications. There is a large spectrum of blockchain applications starting from cryptocurrency, risk management, net of things (IoT), monetary services to public and social services. Blockchain technology has shown its wide ability in recent years as a spread of market sectors need ways in which of integration its potentials into their operations. Blockchain has ton of advantages like decentralization, determination, obscurity and auditability. Though variety of studies specialize in usage of blockchain technology in numerous application aspects, there is no comprehensive survey on the blockchain technology in each the technological and application views. To fill this gap, we have a tendency to conduct a comprehensive survey on blockchain technology, blockchain sort, reviews blockchain application and technical challenges. Moreover, this paper additionally points out the longer term side of blockchain technology.

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The present investigation explores the effect of mechanical fastening of natural filler (orange peel) based epoxy composite on the tensile, flexural, and impact strength. Open mold casting technique used to fabricate composites with the orange peel of average size 500 µm as filler material and epoxy and as a matrix material. Four compositions of samples were fabricated, having 0, 5 and 10 wt.% of orange peel in the composite. For the examination of joining strength, the composite samples were fastened with single and double nut and bolt. Results suggested that fastened composites samples exhibit slightly low tensile and flexural strength than parental composites but exhibit higher impact energy capability. Bearing and shearing strength was found to be higher, having higher filler content and fastened by double nut and bolts. Highest tensile (42.89 MPa) and flexural strength (48.86 MPa) were observed for O0 samples while O8 sample showed highest impact energy (2.5 J), shear (4.26 MPa) and bearing strength (21.18 MPa). [copyright information to be updated in production process].

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As we know Concrete is a majorconstruction material in the world but due to its low level tensile strength and other factors of nature, forming of cracks in concrete is a very common problem and without proper and quick treatment, cracks in concrete structures begins to expand more and ultimately lead to failure of structure. Cracks in concrete also develop an open passage to the reinforcement bars leading leads to corroded steel bars, which leads to durability problems of structure. For many years now proper healing of concrete cracks is prime object of investigation. In order to vanish this huge problem, an efficient technique has been introduced in fixing cracks with environmental friendly biological process that is also known as self-healing process based on the use of smart concrete which is generally known as Self-healing concrete. Hence principal objective of the research is to develop self-healing concrete by incorporation of bacteria as self-healing agent. An experimental program is carried out to examine the self-healing mechanism by evaluation of bacterial influence and its effect on the concrete. In the current study, bacteria termed Bacillus Subtilis was incorporated with concrete in different concentrations. Evaluation of healing effect was worked out by comparing compressive strength, water absorption content, Ultrasonic Pulse Velocity (UPV) of bacterial concrete to conventional concrete. Specimen were experimented for compressive strength at the ages of week, month and two months of curing. Other tests like Slump cone test, UPV test, water absorption tests were also conducted. Finally, healing of cracks was visualized at the age of 60 days and analyzed using Scanning Electron Microscope (SEM) studies. The results pointed that that a significant amount of self-healing of cracks was achieved and use of bacteria named Bacillus Subtilis proved to be a better choice. Hence we concluded that the stiffness, workability, compressive strength and dura-bility of concrete gets increased with the bacteria inclusion in the concrete. Also it is evident the concrete cracks have been healed by the formation of limestone (CaCO3) which is observed using Scanning Electron Microscopy (SEM).

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As of late the need of small scale innovations is developing quickly. Request for the micro scale miniaturized parts are expanding in ventures like electronics, aviation, optics, media transmission, medicinal, automobile and so forth where quality is the most noteworthy component. Micro-machining, micro‐molds and micro‐system are current engineering systems for the mass manufacturing of the 3D miniaturized scale parts with a precision of microns in an extensive variety of work piece material. Mechanical micro-machining is an essential strategy in small scale machining process which incorporates micro drilling and boring, micro turning and the most proficient micro milling. In this study we will perform a micro milling process on EN-31 amalgam work piece utilizing a High Speed Steel tool on the CNC machine. Our principle objective is to decide the ideal estimation of the process parameter normally utilized as a part of the micro milling forms which are Feed Rate, Spindle Speed and Depth of cut to diminish the yield parameter, for example, cutting force and Torque.

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The expectation of inelastic seismic reactions and the assessment of seismic execution of a structure are significant subjects in execution based seismic plan. The seismic exhibitions of strengthened solid structures assessed by nonlinear static investigation (weakling examination) and nonlinear time history examination are thought about in this exploration. A limited component model that can precisely reproduce nonlinear conduct of building is defined by considering a few significant impacts, for example, p-delta can be viewed as unbending zones with joint disappointment because of helpless itemizing of joints. Both worldwide reaction, for example, framework malleability request and neighborhood reaction, for example, between story float are explored in this examination. A mathematical model is performed on a 20-story strengthened solid structure in ZONE V. At long last, the worldwide and nearby reactions got from the sucker examination are contrasted and those got from the nonlinear unique investigation of MDOF framework. The outcomes show that the PA is exact enough for commonsense applications in seismic execution assessment when contrasted and the nonlinear unique examination of MDOF framework.

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In this paper, different Machine learning algorithms have been examined. Machine learning is a field of software engineering which gives PCs a capacity to learn without being unequivocally modified. Machine learning is utilised in an assortment of computational errands where planning and programming unequivocal calculations with great execution is not simple. The reason for Machine learning is to gain from the information. Numerous investigations have been done on the most proficient method to cause machines to learn without anyone else. Applications incorporate email sifting, acknowledgement of organisation gatecrashers or pernicious insiders progressing in the direction of an information penetrate. One of the established goals of Machine learning is to prepare PCs to use information to tackle a predetermined issue. A decent number of uses of Machine learning exist classifier preparing on email messages to separate among spam and non-spam messages, extortion location and so on. This survey paper principally discusses all the methods of Machine learning.

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Plan and execution of computerized fuel check which gauges the exact degree of fuel including while fuel filling measure. Presently a-days all fuel bunks having kinds of computerized shows unit so as to show the estimation of fuel adding to the vehicle. Be that as it may, we do not know if they including precise worth. In this paper we have proposed a procedure to gauge the measure of fuel accessible in tank during static just as unique condition. This framework carefully shows the degree of fuel inside the tank by utilizing load sensor, stream meter and vibration sensor and these sensors are interfaced with an advancement board-arduino. Consequently, it is a productive framework to recognize the fuel volume in the fuel tank.

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The energy efficient computations is the requirement for all portable battery operated devices. Along with the arithmetic operation, comparison is a frequency used operation with the computation. This paper explores the existing magnitude comparator design techniques and proposes a new binary comparator that provides significant reduction in the power and area. The effectiveness of the proposed technique over the existing is evaluated by coding in Verilog, synthesized and simulated on Xilinx tool chain and design metrics are evaluated. The simulation results on FPGA show that the proposed comparator provides more than 19.3% reduction in power over the best-known comparator.

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As we know Concrete is a majorconstruction material in the world but due to its low level tensile strength and other factors of nature, forming of cracks in concrete is a very common problem and without proper and quick treatment, cracks in concrete structures begins to expand more and ultimately lead to failure of structure. Cracks in concrete also develop an open passage to the reinforcement bars leading leads to corroded steel bars, which leads to durability problems of structure. For many years now proper healing of concrete cracks is prime object of investigation. In order to vanish this huge problem, an efficient technique has been introduced in fixing cracks with environmental friendly biological process that is also known as self-healing process based on the use of smart concrete which is generally known as Self-healing concrete. Hence principal objective of the research is to develop self-healing con-crete by incorporation of bacteria as self-healing agent. An experimental program is carried out to examine the self-healing mechanism by evaluation of bacterial influence and its effect on the concrete. In the current study, bacteria termed Bacillus Subtilis was incorporated with concrete in different concen-trations. Evaluation of healing effect was worked out by comparing compressive strength, water absorption content, Ultrasonic Pulse Velocity (UPV) of bacterial concrete to conventional concrete. Specimen were experimented for compressive strength at the ages of week, month and two months of curing. Other tests like Slump cone test, UPV test, water absorption tests were also conducted. Finally, healing of cracks was visualized at the age of 60 days and analyzed using Scanning Electron Microscope (SEM) studies. The results pointed that that a significant amount of self-healing of cracks was achieved and use of bacteria named Bacillus Subtilis proved to be a better choice. Hence we concluded that the stiffness, workability, compressive strength and dura-bility of concrete gets increased with the bacteria inclusion in the concrete. Also it is evident the concrete cracks have been healed by the formation of limestone (CaCO3) which is observed using Scanning Electron Microscopy (SEM).

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Bitumen is a natural derivative material and it is generally utilized in road construction due to its good conventional properties includes excellent bonding properties with coarse aggregates and viscoelastic behaviour. Since the bitumen is a complex material, the behaviour of bitumen will get vary at high and low temperatures. At low temperature the bitumen reveals elastic behaviour and at high temperature it reveals liquid behaviour. Since the bitumen behaviour is different at different temperatures, the bitumen characteristic significantly affects the pavement properties. In order to resolve this issue, modifiers include anti-stripping additives and polymers are widely used to improve the bitumen properties. So, the main objective of this present study is to study the Effects of additives/modifiers on stone mastic asphalt. In this connection, a detailed literature review has been carried out concerning the effects of modifiers on the conventional and engineering properties of stone mastic asphalt.

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Hypsometric of drainage basins (area-elevation analysis) have generally been used to reveal the stages of geomorphic development (stabilized, mature and young). In the present study, sub-watersheds of Shimsha basin were considered towards dimensionless properties of hypsometric integral and curve analysis using Cartosat-1 digital elevation model (DEM) version 1 of resolution 1 arc Sec (~32 m) data obtained from Bhuvan is processed in ArcGIS 10.3v and are effectively used for prioritization. It is observed from the hypsometric curves and hypsometric integral values in the sixth ordered (0.11 to 0.49) and seventh ordered (0.15 to 0.38) sub-watersheds are distributed equilibrium to inequilibrium as well as monadnock stage of geomorphic development. The erosion stage of the lower order watersheds influences its stage to the higher order watershed. If the watersheds will attain a maximum number of identical stage of development will directly indicates the higher watersheds will able to attain the equivalent feature. Basin hypsometry clearly depends on lithology, whereas lithological effect is minor on relief amplitude at various spatial scales. Thus, the hypsometric integral value can be used as an estimator of erosion status of watersheds leading to watershed prioritization for taking up soil and water conservation measures in watershed systems.

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Communication mainly is the transfer of whatever thing or exchanging of data, so that the Internet of things is naught but the transferring or exchanging of anything with several other things. The using of internet authorized system or device roughly calculated as that by 2023 there will be nearly about billions. Main objective of IoT is to manage and control physical objects around us in a more intelligent and meaningful manner and also improve quality of life by providing cost effective living including safety, security. Field Pond Parameters System (FPPS) using controller that employs wireless communication, which provide the user with remote control of motors and appliances within their pond parameters. The system will spontaneously change on the basis of data. This system is designed with low cost and expanded in FPP to control variety of devices. This system will reduce human effort for maintaining pond parameters and also save human life.

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Stamping machine exists either in very large size used for mass production for e.g. in printing press industries where printing/stamping is done on large scale for printing books, magazines or newspaper, rather than this stamping/printing is done on very small-scale using printers or Xerox machines to stamp/print limited number of papers. For these medium scale industries this type of “Automatic Paper Stamping Machine” can be proved to be an efficient and economic technology that can be used to reduce human efforts as well as precious human time. Automation has gained important place in the industries in last few decades. Majority of the automatic process came into existence to give better quality and highly accurate products. This project aims at developing a working model of an Arduino Controlled Paper Stamping Machine that works on an Arduino controller which controls feed and stamping mechanism of paper useful in many kinds of organization like Universities, Government offices, Post offices, Banks, Colleges etc. The feed of the paper will be accomplished using a roller mechanism and the stamping will be done by incorporating a simple link mechanism. Feed timing and stamp movement will be controlled by Arduino. We have proposed a system which can work with good accuracy, clarity, reduce the wastage of time and consume less power.

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The project focuses on the Maisotsenko cycle and how it overcomes the constraints that are set by the conventional vapour absorption refrigeration cycle and direct evaporative coolers. Though the Direct Evaporative coolers give an adequate amount of temperature drop it causes an increase in humidity and affects the human comfort negatively. While the cooling achieved by the indirect evaporative cooling method is not sufficient even though it eliminates the possibility of increased humidity. Both the above-mentioned cooling systems can be amalgamated in the Maisotsenko cycle to form a completely new system that would eliminate the vices of both systems. Tendency of conventional refrigerants to create pollution is omitted as the said system uses water as a cooling agent.

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Electric vehicles have been a hot topic since Tesla has come into action, but is it really a game changer for the current climatic conditions? The sources to produce the current to charge these vehicles should be clean, ample and meet out futuristic needs. Renewable energy sources have been existing for a long time but due to the limitations and exceptional performance of fossil fuels, it is high time these sources are put to their full utilization. New and feasible policies, easy to adopt and transparency between the consumer and provider is a must for changes to take place. All in all, a substitute to the EV must be made active side by side until the EVs go fully renewable energy sourced.

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This hydraulic pressing machine used for converting shape of the material to the required form by compressive force of action. In this work hydraulic pressing machine of 20 Ton capacity is Designed and Manufacture. The main purpose of this Special Purpose Machine to perform the Flaring and squeezing operation and reduced the work stress and improve productivity. The design has to resist the generated force during operation and to calculate design parameters like stress induced and total deformation developed during operation. This pressing machine is made for manufacturing of automotive body buildings and sheet metal applications. The machine is designed for special purpose only like flaring and squeezing operation, to the load capacity of 20 Ton. The frame and cylinder is modeled using UG NX-11, Ansys.

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In this research work, an electroencephalogram (EEG) based brain controlled wheelchair is designed with the assistance of Brain Computer Interface (BCI) by using service of NeuroSky Headset. Tetraplegia patients can’t move any part of their body below their necks. Application of this device will assist the Tetraplegia patients to maneuver self-sufficiently on their own. The movement of the wheelchair is controlled with help of variation of attention level of the patient. Turning on or off this device is controlled through double eye blink of the patient. Pictures based image has been added within the design of the wheelchair for assisting the patients varying their attention levels if needed.

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Web services will handle private user information in the near future. To avoid this confidential information from ending up in the wrong hands, you must guarantee privacy. More broadly, web providers may need to clarify the rules of their customers, which define who can and under what circumstances access private information. Cloud Computing is a continually changing IT general concept used to apply to various IT technologies and internet infrastructure. Cloud storage can simply be understood to be providing decentralized IT tools over the Web, as opposed to storing and running such products locally such capabilities can involve Software and facilities as well as the networks they run on. Instead the investment of capital on software and equipment people and companies have exposure to the same infrastructure and do not have the ownership obligation to suppliers providing on-demand services such as Consumer Relationship Management (CRM). Cloud computing is the latest development in IT that offers online services for users with resources and shares them across the internet. Many web services in the cloud provide similar features with different service quality. The usage and management of IT promising improvement of cost efficiencies, rapid innovation, quicker time to market and the possibility of scale applications on demand, are transformed in cloud computing.

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Data collection, data storage and data processing are the basic steps for any system to complete a task. Out of these steps, data collection and its storage is very essential issue. Many users are mainly focusing on data collection and its storage. So it can be used for further operations. Once the data is collected and stored then processing over that data will be easy. It is must to measure the quantities like temperature, pressure, humidity, carbon dioxide, etc. for certain applications. This paper explains measurement of quantities graphically by using Matlab and Arduino. A brief working is explained in this paper. Results of some examples are also shown and discussed here. This paper may helpful for knowing about graphical measurement of quantities.

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This paper presents the improved artificial intelligence based MPPT controller for grid connected solar photovoltaic (PV) system. Grid-connection of photovoltaic (PV) power generation systems has the benefit of efficient utilisation of generated power since there are no storage losses involved. The proposed system consist of PV array, DC-DC boost converter, Three phase voltage source inverter and utility grid along with the MPPT controller. Complete system is modeled in MATLAB/Simulink environment. The performance of the proposed MPPT controller is compared with the conventional P&O MPPT controller. Simulation results shows that proposed ANN based MPPT controller gives better performance in terms of power output, system efficiency and dynamic response.

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Application of farm machines to agricultural production system has been one of the outstanding developments in agriculture during the past century. The burden and drudgery of farm work have been reduced and the output per worker has been greatly increased. Introduction of new and appropriate machinery would help reduce the production cost, harvesting loss and could be a solution to labour scarcity. This study was undertaken to evaluate the technical performance and harvesting losses of a combine harvester. The study was carried out in two different harvesting seasons (Boro 2019 and Aman 2019) using YANMAR (AG600GA) combine harvester at two different locations. The first experiment was conducted in Basail Upazila, Tangail during Boro season (May-2019). And the second experiment was conducted in Kendua, Upazila, Netrokona during Aman season (November-2019). The field efficiency of the combine harvester in Boro season was found 53.69% and that of Aman season was found 57.89%. The fuel consumption of combine harvester in Boro season was found 21.49 L/ha and for Aman season was found 20.37 L/ha. Average losses including cutter bar loss, shatter loss, cylinder loss and separating loss in Boro season was found 1.62% and in Aman season was found 1.29%. Mechanical harvesting like Yanmar combine harvester could save 4.90% paddy losses over manual harvesting system. So, the overall performance of the YANMAR combine harvester was found satisfactory.

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Image processing is a significant field in research and development. Many image processing techniques have been developed to extract as much information as possible from the image. There are many parameters for retrieving image like colour, shape, texture, edge etc. Here, I have focused on texture and colour parameters extraction and aim to retrieve metadata as good as possible. Proposed method used rotation of object to make it parallel to geomatric axis for efficient matching. In our thesis I proposed a new approach in which I have focused on rotation issue in detection of object from satellite imagery and try to detect more object and then generating its Meta data.

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