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Research Paper

Planning and scheduling for multi-story building using M.S project

Every one of us is a manager of projects of our own life. From an employee to financial analyst, from banker to doctor, from engineer to administrator, from a teacher to a student, we all work on different tasks with deadlines. For managing the events or activity, there is computer-based software which is particularly design for the planning and secluding. Software like M.S Excel, M.S Project, and Primavera. This thesis is carried out for the planning and scheduling of the M.S project. To know that this type of software is easy and efficient than manual methods. This software is basically based on manual methods but it is less time-consuming and precise than manual methods. In this thesis construction, site planning and scheduling should be generated. The site name is Indraprastha greens it is a multistorey building project of 10 blocks of 7 story. Each story has 4 flats, there are two types of flats each flat has 5 blocks. The project is constructed by a DEEP GROUP OF COMPANYS. In this thesis, E-block is select for the research of planning and scheduling in the Microsoft Project. From excavation to finishing work schedule should be generated in the Microsoft project and notify the critical path. Resource allocation of every work and material should be provided. The cost of the work and material should be calculated in the M.S project. From this thesis, the positive outcome of the planning and scheduling should specify. This thesis is actually researching and notifying the proper planning and secluding for the management of the project with Microsoft project and it will notify the duration, deadline, cost, and material.

Published by: Aldrin

Author: Aldrin

Paper ID: V7I2-1371

Paper Status: published

Published: April 15, 2021

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Research Paper

Detection and Prevention of Black hole attack by Grey Wolf Optimization in Wireless Sensor Network

Wireless sensor network is a group of nodes that are connected to each other by wireless connection. These types of network work on the dynamic topology of the network because positions of nodes in the wireless network are changing continuously. The nodes in WSN are basically made up of small electronics device which are used for sensing, computing and transmitting the data. The nodes are run on the battery power during communication process. The battery consumption in WSN is very high due to high computation operations on it. In the recent years WSN grows at very high at the research area is also increased in this field to provide effective computation. major concern for maintaining the security of the system greatly depends upon the limited energy of the sensor nodes. Thus the communication and the computational measures for the measure of security should be kept small. Dealing with the issues related to security, the limited form of energy provides a challenging path with an additional set target research work done on the wireless sensor network by using the concept of leach routing of nodes and optimize the routing process by using the Grey Wolf Optimization algorithm. The GWO algorithm provides the optimal results. The optimal result provided by GWO reduced the time delay, dead nodes, and energy consumption and improve the network quality.

Published by: Nasir Hussain Mir, Dr. Rajat Joshi

Author: Nasir Hussain Mir

Paper ID: V7I2-1364

Paper Status: published

Published: April 14, 2021

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Research Paper

Improved vehicle number plate detection with bounded segmentation and random forest

Automatic Number Plate Recognition System is the identification system of vehicles. It is an image processing technology used to identify the vehicles only by their license plates. Automatic Number Plate Recognition ANPR plays am major role in management of parking areas, and surveillance of illegally parked vehicles. Since every vehicle has a unique number plate so it can be identified by its number plate. The classification is utilized for the electronic toll-collection system (ETC) and to display available parking spaces to vehicles. The identification is also employed for managing parking facilities, monitoring and analysis of traveling time, and security systems such as observation of stolen vehicles and monitoring of unauthorized vehicles entering private areas. Number plate recognition is realized by acquiring images of either the front or the rear of vehicles with cameras and then by image processing to identify license plates. In this paper proposed approach extract texture features and optimize by WCA then classified by Random forest.

Published by: Shahid Yousuf, Dr. Rajat Joshi

Author: Shahid Yousuf

Paper ID: V7I2-1363

Paper Status: published

Published: April 14, 2021

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Research Paper

Design and analysis of myoelectric prosthetic hand

Due to accidental trauma, war, and congenital anomalies, the citizenry is suffering since long ago. Also, amputation and deformity have been carried out. The human hand has complex hierarchical control with more amount of degrees of freedom. 3D printable prosthetic hand prototype has been designed and analyzed using Solidworks 2018 and Ansys workbench 16.2 software respectively. Stress and deformation analysis of Palm and Motor attachment beams has been done to know the strength and Maximum load-carrying capacity of the hand. The main objective was to reduce the weight of the hand and to make it more comfortable so that it would take place of the real hand or at least come closer to it in terms of functionality using EMG technology for control of the Hand. Weight of hand 370 gram with a factor of safety 2.2. However, this new cost-effective advanced prosthetic hand is going to be very helpful for the amputees who are surviving without a hand.

Published by: Sham Dattatray Kamble, Adesh Manohar Jadhav, Nutan Takdir Korde, Jaydeep S. Patil

Author: Sham Dattatray Kamble

Paper ID: V7I2-1369

Paper Status: published

Published: April 14, 2021

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Research Paper

Authentication encryption scheme using leopard and chaotic tent map algorithm for smart grid

Smart Grid (SG) has gain popularity due to reliability, efficiency, and sustainability. They transmit periodically collected reading. The reading contains very sensitive data such as personal information and geometric locations. Therefore, transmission and storage of data have many security challenges such as eavesdropping and tampering attacks. This proposes a novel authentication encryption scheme that provides confidentiality, integrity, and authentication of the data. To achieve these objectives, we have hybrid the LEOPARD and chaotic tent map algorithm. The LEOPARD algorithm provides confidentiality and the chaotic tent map algorithm gives the authentication tag to verify the data integrity and authentication. The algorithm is simulated in MATLAB. The experimental results show that the proposed algorithm provides better results as compared to the existing algorithms in terms of PSNR, execution time, and security.

Published by: Ravi Duddi, Puneet Jain

Author: Ravi Duddi

Paper ID: V7I2-1317

Paper Status: published

Published: April 14, 2021

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Research Paper

Nutritional status based on body mass index among lactating mothers ( 18-35 yrs ) of namkom block

The nutritional link between the mother and the child continues even after birth. The newborn baby depends for some period solely on breast milk for his existence. The nutritional status of an individual is related to many factors and is influenced by food intake, quantity & quality, & physical health, range of nutritional status spread from obesity to severe malnutrition. A study was carried out to find out the education and nutritional status among lactating women. A total of 250 lactating mothers were taken for the study. the age group of mothers was between 18 – 35 years. The questionnaire was prepared for the data collection of the respondents, it included general profile the information about age, education, occupation, total income, and activity levels, and anthropometry assessment it included height, weight, and BMI( body mass index ). According to the study maximum respondents were studied up to class 8- 10 that is 30.80 %, very less were illiterate they were 8.40 %, 1.60 percent were studied class up to 5 whereas 17.20 percent were studied class 5-8,18.80 percent were studied till class 12 and 13.20 were studied up to graduation. The nutritional status of most respondents was in the normal range i.e. 58.8 percent followed by mild malnutrition 17.6 percent, preobese 12.8 percent, severe malnutrition 4.8 percent, moderate malnutrition 3.6 percent, overweight 1.2 percent, class 1 obesity 1.2 percent.

Published by: Khushboo Tirkey, Meenakshi Akhouri

Author: Khushboo Tirkey

Paper ID: V7I2-1356

Paper Status: published

Published: April 14, 2021

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