Task scheduling in the cloud computing using an improved cuckoo search algorithm
Cloud computing is an advanced internet resources network that is used by many users remotely. The resources include software, hardware, and various applications. The main challenge in cloud computing is task scheduling due to numerous requests are generated simultaneously from remote locations. To overcome this challenge, task scheduling algorithms are designed that appropriately arrange the tasks. In the literature, metaheuristic algorithms have been deployed for optimal task scheduling. The most popular algorithms are genetic algorithm, particle swarm, and cuckoo search algorithm. However, if the initial population of these algorithms is properly not defined then it is easily trapped into the local optimal solution and causes low precision. In this paper, we have overcome this issue and designed an improved cuckoo search algorithm. In the proposed method, the initial population is defined using the chaotic map algorithm and after cuckoo search algorithm is applied to determine optimal task scheduling. The experimental results show that the proposed method is superior in terms of convergence rate, makespan, average waiting time, and average turnaround time as compared to the existing algorithm.
Published by: Parminder Kaur, Sarabjeet Kaur
Author: Parminder Kaur
Paper ID: V7I3-1208
Paper Status: published
Published: May 7, 2021
Review on wireless sensor network routing and topology approaches
The distinct advancement done in the field of wireless technology possibly developed the use of wireless sensor networks (WSN) consisting of small devices which are used for collecting the information with proper cooperation planning with each of its parts. These small types of devices are generally known as the nodes and it consists of memory used for storing the data, CPU for data processing, transceiver enabling the communication signals between the sender and the receiver, and the battery for energy fulfilling requirements a Wireless sensor network is a group of nodes that are connected to each other by wireless connection. These types of networks work on the dynamic topology of the network because the positions of nodes in the wireless network are changing continuously. The nodes in WSN are basically made up of small electronic device which is used for sensing, computing and transmitting the data. The nodes are run on battery power during the communication process.
Published by: Nighat Yaqoob, Madhvi Arya
Author: Nighat Yaqoob
Paper ID: V7I3-1200
Paper Status: published
Published: May 7, 2021
Driver drowsiness detection system
Making insightful systems to prevent minor accidents can be particularly incredible in limiting the difficulty and loss of life. Street crashes and related types of mishaps are a typical reason for injury and death among the human population. One of the elements which assume a significant part in mishaps is the human blunders including driving exhaustion depending on new brilliant methods; this application recognizes the indications of weariness and lethargy despite the individual at the hour of driving. The proposed framework depends on three separate calculations. In this model, the individual’s face is monitored by a camera in the initial step by getting 14-16fps video grouping. At that point, the pictures are changed from RGB space into YCbCr and HSV spaces. The face territory is isolated from different parts and exceptionally precise HDP is accomplished. That the eyes are open or shut in a particular time span is controlled by zeroing in on thresholding and conditions concerning the balance of human appearances. The proposed framework has been carried out in excess of thirty distinctive video successions with normal precision of93.18 and a discovery rate (DR) of 92.71 out of approximately 2500 picture outlines. High precision in the division, low blunder rate, and fast preparation of information recognize this framework from comparable ones. This framework can limit the number of mishaps brought about by drivers’ exhaustion.
Published by: Paneri Sahare
Author: Paneri Sahare
Paper ID: V7I3-1191
Paper Status: published
Published: May 6, 2021
Email routing automation
To run a company in success way, one needs to satisfy the client requirement in the industry. A lot of companies are hiring people to monitor the requirements of the client is being done or ongoing in production. In order to reduce the process of hiring a lot of managers for monitoring, build a bot to monitor the employee using the centralized mail of the company, in which the director of the company can able to monitor the employee. He is being assigned a task to be completed the module in time and initiate the process to production, the monitoring process is done to all the employees of the company. This will lead to a limitation in the process of hiring the people for monitoring purposes. This also helps to know the current situation of the project to the Director or the HR of the company and can predict the completion date of the project. The data can be accessed in any system by the manager and make the process to be done.
Published by: Clement Maria Prasan A.
Author: Clement Maria Prasan A.
Paper ID: V7I3-1185
Paper Status: published
Published: May 6, 2021
Co-fuzzy sub ordered finite gamma near rings
In this paper, we introduce and study the concept of co-fuzzy sub ordered finite gamma near rings and L-fuzzy sub ordered finite gamma near rings with maximum and infimum conditions, where L stands for a complete lattice satisfying infinite meet distributive law. We discuss the concept of intersection and union of co-fuzzy sub-ordered finite gamma near rings. We also prove theorems on homomorphism of finite gamma near rings.
Published by: K. Balakoteswara Rao, D. Bharathi, Pakala Venkatrao
Author: K. Balakoteswara Rao
Paper ID: V7I3-1172
Paper Status: published
Published: May 6, 2021
E-learning resources are economically feasible to a rural area college student in Ahmednagar district
In the competitive world and fastest-growing technology, every student is capturing updated knowledge and growing his skills every time. In traditional learning, this is not possible to every time update. But in modern learning is helps students updating their knowledge and skills every time 24*7 and anywhere. But their point of view is that an e-learning resource is more costly. This study help to the student they are change his attitude negative to positive about e-learning resource is not economically feasible to me because of my parent's income is low in this study we give the suggestion to use more and more e-learning resource and capture updated knowledge. This paper uses the questionnaire, interviews, and using SPSS software for results and findings.
Published by: Kishor Devidas Pakhale
Author: Kishor Devidas Pakhale
Paper ID: V7I3-1158
Paper Status: published
Published: May 6, 2021
