VOLUME 7, ISSUE 3, MARCH 2020

Abstract: In today's industrial scenario, the expectations and demand of customers are reaching great heights. In order to satisfy the customer requirements, the users are increasingly turning towards seventh party logistics (7PL) service providers to manage their total supply chain operations. In this present research, initially, the criteria for the selection of integrated service providers have been identified and an integrated modal based on their inter-relationship has been developed with help of shippers. With this idea of what factors to be considered and their inter-relationships while selecting integrated service provider. Later, various methods deriving the priority weights viz. Analytical Hierarchy Process (AHP) have been employed for 7PL service provider selection. The derived priorities of 7PL alternatives using methods have been critically analyzed and compared for effective selection. The use of the model indicates that the computed quantitative evaluation can be applied to improve the precision of the selection.

Keywords: Analytical Hierarchy Process, Seventh party logistics, priority weight, criteria selection

Abstract: Curd is a dairy product that is produced by coagulation of milk in a process known as curdling. It is one of the staples in all the pantries of our kitchen. It has the goodness of in calcium, vitamin B-2, vitamin B-12 and potassium. Recent years, sealing and packaging has become a big activity for the manufacturing sector, as proper finishing and packaging helps keep a company green as well as helps to improve a product's shelf life. Sealing is a method of sealing the product contents safely and hermetically, through cans or bottles. The dairy industry could achieve a shelf-life of 45 days by using processes of Ultra-Pasteurization (UP), while the curds/yogurt processed at Ultra-High Temperature (UHT) achieve a shelf-life of three months to one year without refrigeration. One way of improving shelf life is by sealing via the induction heating process. In this study, curd cups were sealed with specific packaging material then introduced with induction heating to increase their shelf life, considering the advantages of sealing induction and its application in food processing which is an energy efficient and renewable alternative energy source for thermal processing.

Keywords: Autoclave, heating efficiency, Incubator Shaker, Induction sealer, sealing time, sealing temperature, shelf life.

Abstract: The study of the morphometric analysis of the watershed indicates the important factors for estimating the possible groundwater areas, controlling water supplies, conveniently identifying the place for the drainage system's water storage systems, runoff and geographic character. Morphometry is the approximation and mathematical interpretation of the configuration of the surface, shape, dimension of its landforms. For the current research, the morphometric analysis usually consists of dimensional, aerial, and relief aspects. The Remote Sensing and Geographic Information System (GIS) is used to handle and interpret the data present spatially. As mentioned above, the ArcGIS 9.3 has been accustomed to extrapolating various necessary parameters. Digital Elevation Model (DEM) is a 3D terrain conditions visualization. This analysis could also be functional in fields like regional planning, agriculture and forestry. Keeping the above in sight, this study was conducted to properly characterize the Atagad watershed for its morphological properties, in order on the premise of suitable watershed management plan which are often considered by the Government.

Keywords: Digital Elevation Model, GIS, Morphology, Relief Aspects, Shape Factor, Slope Map, Watershed Delineation.

Abstract: The sliding mode control technique for permanent magnet brushless DC motor is used to improve its dynamic performance with high accuracy. The proposed novel Sliding Mode (SM) controller method is used drive at all speed levels. The SM controller is the most attractive and simple in modelling for its insensitivity to parameter variations and external disturbances. The validity of the proposed method is verified through simulation. The PMBLDC motor is inherently electronically controlled and requires rotor position information for proper commutation of current. An equation based model for closed loop operation of PMBLDC motor drive is simulated in MATLAB/Simulink. Simulation results show the proposed SM Controller has the advantage of fast response and less steady-state error when compared to that of the conventional PI controller. In this paper the responses of current, speed and torque using SM controller is compared with that of PI controller.

Keywords: Brushless DC motor, MOSFET, Sliding mode controller, PI controller.

Abstract: India is the second largest producer of cabbage (Brassica oleracea) in the world. Cabbage is a kind of common-planted vegetable which is originated in Cyprus and around the Mediterranean coast. The cultivated area is about 400138 ha with a production of 9039219 MT per year i.e. about 12.80 % of total world production and has rank 6th among all the vegetables in India (NHB, 2015). But all of these cabbages are now harvested by hand, and it is becoming increasingly difficult for growers to employ enough skilled workers for this laborious task because of the urbanization. Because of this, agriculture's economic contribution to India's GDP is steadily declining with wide-based economic growth in the nation. Therefore, this situation demands industries to promote the project of developing a cabbage harvester in place of manual work. In the 20th century, several researchers had examined the physical properties of cabbage and had applied their findings to design the components of cabbage harvester. But most of the machines, thus produced, had a limited use for either industrial use or fresh market. Some designers had constructed harvester for industrial use without knowing its physical properties. Thus, leaded to failure.

Keywords: Cabbage, Coefficient of variance, Head shapes, Pusa drumhead, Pusa Mukta, September Early, Pulling force.

Abstract: Stability and traction is a subject of great concern to farm mechanization engineers and researchers. A very limited effort has been made to create an interface that can accurately simulate the output of a 2WD tractor with a suspended working implement on different kinds of soil. The Application offers an interactive user interface to estimate the performance of a chosen tractor and model by connecting databases such as tractor specifications and traction equation coefficients. Android Technology has been developed for 2WD tractors fitted with radial- and bias- tyres, in order to assess tractive performance as well as suitable field stability conditions. The minimal load to be maintained on the front axle of the tractor was kept as 20 % of the tractor's overall static weight.

Keywords: Prediction model, Tractive performance, radial-ply tyre, bias ply tyre, android studio, android application.

Abstract: Influence of Copper Oxide (CuO) and Boron Nitrate (BN) nanoparticle lubricant additive on the load carrying capacity of a journal bearing is studied in this paper. The load carrying capacity of a hydrodynamic journal bearing depends upon the viscosity of the lubricant being used. The dynamic analysis of hydrodynamic solid journal bearing operating with nanoparticle influenced commercial lubricants will be presented in this paper The inclusion of nanoparticles in the lubricant may affect the viscosity of the lubricant which leads to changes in the performance and characteristics of the lubricant. The proposed work is about to obtain pressure distribution in the clearance space of the solid journal bearing. Pressure generation and distribution measurements will be carried out using a Sommerfeld curve. Readings will be taken at a same interval. Pressure measurements will be carried out at a various loads. Same testing procedure will be carried out for conventional bearing.

Keywords: Nanoparticle lubricants, Hydrodynamic journal bearing, Pressure distribution, Load carrying capacity

Abstract: Agriculture is one field which has a high impact on life and economic status of human beings. The latest generation of Convolutional Neural Networks (CNNs) has achieved impressive results in the field of image classification. This paper is concerned with a new approach to the development of plant disease recognition model, based on leaf image classification, by the use of deep convolutional networks. Novel way of training and the methodology used facilitate a quick and easy system implementation in practice. The developed model is able to recognize 13 different types of plant diseases out of healthy leaves, with the ability to distinguish plant leaves from their surroundings. According to our knowledge, this method for plant disease recognition has been proposed for the first time. All essential steps required for implementing this disease recognition model are fully described throughout the paper, starting from gathering images in order to create a database, assessed by agricultural experts. Caffe, a deep learning framework developed by Berkley Vision and Learning Centre, was used to perform the deep CNN training.This work utilizes an open dataset of 5000 pictures of unhealthy and solid plants, where convolution system and semi supervised techniques are used to characterize crop species and detect the sickness status of 4 distinct classes.

Keywords: CNN, leaf disease, Classification, deep learning, remedies.

Abstract: Reversible logic is one of the most promising technology of the future computation, owing to its capability to tremendously reduce the dissipation of power. It has got extensive applications in emerging technologies such as quantum computing, optical computing, quantum dot cellular automata, ultra-low power VLSI circuits, advanced computing, DNA computing, Bio informatics and Nano technology. Since multipliers are one of the prominent building blocks of most of the computational units and since the speed of the computational units is largely determined by the speed of the multipliers, hence in order to increase the speed of computational units, we need to utilize faster multipliers. This is where Urdhva Tiryakbhayam (UT) Vedic multiplier comes into play. This multiplier performs the multiplication operation at a tremendously increased speed as compared to conventional multipliers, with decreased delay. This multiplier can be efficiently used in Digital signal processing system, Fast Fourier Transforms (FFTs), Filter design, Image processing and in other fast computational units including ALU. Thus we utilize the low power capability of reversible logic to reduce power dissipation and the high speed capability of Vedic multipliers to speed up the operation in our design. In this paper, we have shown the implementation of 4 different design architectures of Vedic multipliers using reversible logic which are optimized in terms of area, delay, power consumption and total computational complexity including quantum cost of the design. The design has been implemented on the Xilinx ISE Design Suite 14.7 using Verilog. The results of the analysis of all the 4 architectures with its computational complexity has been presented.

Keywords: Reversible logic, Garbage output, Quantum cost, Reversible multiplier, Vedic multiplier, Urdhva Tiryakbhayam Sutra, Reversible logic gates, UT Multiplier, Quantum computing.

Abstract: In this paper, a solution is proposed for maintaining and controlling the boiler drum level in industries using fuzzy logic controller. The system firstly senses the amount of water available in the tank part and then adjusts the state of the water pump in accordance to the water level information. The inlet flow is also monitored. The software part of the project has been developed using LabVIEW. NI MyRIO is used as a controller. The monitored parameter is transferred using IoT.

Keywords: NI LabVIEW, level, myRIO-1900, IoT, IBM Watson Bluemix.

Abstract: This paper manages the static pressure conduct of cement infilled twofold skin cylindrical (CFDST) sections with ridged plates. These segments exploit high quality from their infilled concrete just as the pliability and imprisonment of their steel skins. Static pressure tests were performed on CFDST segment examples with internal or external skins developed from creased plates. The steel empty segments created from ridged plates displayed an increasingly steady reaction under pivotal pressure stacking. Subsequently, executing them in CFDST sections is relied upon to improve the general structure conduct of these segments. These tests uncover how the general conduct of CFDST sections by supplanting their inward/external skin which are created from ridged plates. The layered plates insignificantly affect the quality of section examples. Notwithstanding, the pliability and constrainment conduct of CFDST sections are significantly improved . A limited component displaying structure was additionally evolved to reenact the reaction of CFDST segments with folded plates and approved against the consequences of the investigations. A finite element modelling framework was also developed to simulate the response of CFDST columns with corrugated plates and validated against the results of the experiments.

Keywords: Composite Columns, Concrete InFilled Steel Tubular Column(CFDST), Corrugated plates

Abstract: Due to shattering effect of blasting, mainly three zones are formed around the tunnel profile. During tunnel excavation, blast induced damage or Excavation Damage Zone (EDZ) interacts with existing geological structure of the rock-mass. This can and cause over-break and stability issues during and after excavation. Today the EDZ is determined by correlation-based methods, although direct measurement is possible. This paper throws light for, in depth exploration methods for EDZ assessment during excavation. The prediction of damage to the rock mass is a very important factor to evaluate the quality of the excavation process in tunnelling, so that it would allow the optimization of explosive charges utilized in successive blasting rounds, as well as lowering risks of instability from rock loosening, less support costs and water inflows. Upon developing a mathematical approach to evaluate rock damage from underground blasts, practical applications were accomplished to confirm it, both in tunnelling excavations and underground mining. Examples of these studies are described in detail.

Keywords: Prediction, EDZ, instability, tunnelling, explosive charges, geologic- structure

Abstract: In this paper, Effect of stirrups on shear behavior in an RC beam has been discussed. Concrete is remarkably strong in compression but weak in tension. Hence, the use of plain concrete as a structural material is limited to situations where significant tensile stresses and strain do not develop. This weakness in the concrete makes it to crack under small loads, at the tensile end. To overcome this the reinforced cement concrete is used, RCC is strong in both tension and compression, hence it is widely used. In an RCC beam, shear is mostly occurred at the edges of the beam. In an standard RCC beam the stirrups are provided at equal spacing throughout the entire beam. In this experimental study, the stirrups are provided at the edges where the shear are occurred. The beam size is about 700mm X 150mm X 150mm. In the first beam specimen only 3stirrups are provided at both the edges, then the stirrups are reduced to two and one at the edges for the respective beam specimens. Flexural strength test is carried out to determine the strength of the RCC beam and the results are compared with one another. By reducing the stirrups, the cost can be minimized and the work time can be reduced.

Keywords: RC beam, Reinforced cement concrete (RCC), UHPFRC

Abstract: Landslides are becoming most frequent and severe natural disasters in world wide. Landslide causes a huge damage for both human life and economy. There are various qualitative methods for detection of landslides. The goal of this paper is to discuss the various method involving neural network, segmentation and wireless sensor approach that have been proposed.

Keywords: Pixel-based analysis, Object Based Image Analysis (OBIA), Wireless sensor, Deep learning

Abstract: As the database has become an important component of cloud computing. Due to the Rapid changes in a network technology, the cost of transmitting a terabyte of data over long distances as decreased significantly in the past decade. In addition, the total cost of data management is five to ten Times higher than the previous cost. As a result, third parties are introduced that can provide these tasks for much lower cost due to the economy of Scale. This new cloud DBMS model has the benefits of reducing the cost for running Database Management System independently.

Keywords: DBMS, Cloud service.

Abstract: The present study was carried out to extract the soil permeability of the collected surface soil samples and estimated the aquifer parameters of the Alanthurai watershed region located at Coimbatore district. Twenty one numbers of undisturbed surface soil samples were collected throughout the watershed area using standard mould and it was tested in the soil mechanics laboratory. The permeability values of the collected soil samples ranged from 1.39 x 10-3 cm/sec to 8.3 x 10-3 cm/sec. From the results of the soil study, it was observed that the watershed consists of moderate degree of permeability. Pump out test was conducted in the field and the values of drawdown in the observation well were measured and tabulated. The values of co-efficient of transmissibility and storage co-efficient were obtained by Cooper Jacob's and Chow's methods.

Keywords: Permeability, Watershed, Transmissibility, Storage Co-efficient, Pump out test

Abstract: One of the fastest growing applications is big data. Analysis of big data is must to gain higher productivity and efficient data utilization. Map Reduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data mining, and scientific simulation. Hadoop is an open source implementation of the Map Reduce framework. It is a highly robust system model in the form of scalable and fault tolerant distributed system and it is important for data storage and its processing. Goal of Hadoop is to offer efficient and high performance processing of big data application. Hadoop clusters composed of hundreds of nodes to process terabytes of user data. This paper gives a survey of different job schedulers of Map Reduce.

Keywords: Cloud Computing, HDFS, Map RedIARJSET.2020.7318uce, Hadoop.