Vol. 2, Issue No. 1, May 2021 (Special Issue)

Vol.2, Special Issue 1, May 2021

ISSN: 2582-659X

Published on May 13, 2021
Code Allocation in Clustered Based MAC in Mobile Adhoc NetworksSankar Mukherjee pp. 1-12

Abstract

In this paper, I have proposed a clustered based CDMA MAC protocol for MANETs. At first the proposed clustering algorithm divides the network into some one hop overlapping clusters. In each cluster, the cluster-head uses a pool of orthogonal disjoint code sets to assign codes to its cluster members. Each cluster and its neighbouring clusters use different code sets and these sets are reused in the network. The number of codes sets in the pool and the number of codes in each set is determined by the neighbour degree of a cluster and the number of nodes in a cluster. Instead of assigning codes to all the nodes in a cluster, I have proposed a new assignment scheme that assigns codes to the nodes presently involved in communication. It helps to decrease the code requirement in the system. I have compared our protocol with the TCA and PCA based scheme and shown that the requirement of code, the proposed protocol is lesser than TCA but more than PCA. Though the requirement of code in PCA is the least, but it takes expensive hardware and its implementation is difficult. Considering the mobility and the remaining energy levels of the nodes, cluster-heads may release their headship and new clusters are formed. With the help of simulation, I have studied the formation of such clusters by varying the load on the system.
Keywords—MANET, CDMA, MAC, Cluster, OMnet++.

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Anylysis of Lean Production and Growth of Nike Inc. Dr. Mauparna Nandan, Soma Mitra pp. 13-21

Abstract

In recent years, the methodology that has brought about a revolutionary change in the production process of many industries is the lean manufacturing. Lean production is a very rapidly emerging and novel approach employed in the production process of any organization including . It mainly emphasizes on reducing the unnecessary waste of production capital, time and raw materials deployed in the production process while retaining the high quality of production. Since the 1990’s, Nike’s approach to manage supplier responsibility has changed significantly. This report investigates how Nike’s methodology to deal with improving social and environmental conditions in its worldwide supply chain network has developed through co-ordinated administrative management, improved supplier rewards, and systems improvementsdesigned to avoid issues before they emerge.
Keywords - lean production, just-in-time, kaizen, cell production, time-based management, simultaneous engineering.

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Analysis of Vegetation Health of the Sundarbans Region - Using Remote Sensing and GIS Techniques Soma Mitra, Dr. Saikat Basu, Dr. Mouparna Nandan pp. 22-30

Abstract

Nowadays the satellite images emerge as the major instrument for land use and land cover mapping in developing countries. For better management of natural resources like Forest, cultivable land and to find out new mining areas satellite images processing is gaining popularity among the researchers. Forest resources have a pivotal role in economic growth, better forest management is needed in every country. To monitor the vegetation growth different forest health measurement indexes have been introduced viz. NDVI, GARI, FCD, and many more. NDVI is an age-old indicator that determines the density of green on a tract of land. In this article our keen interest in assessing the vegetation health of the Sundarban region under India, applying different vegetation indexes viz. NDVI on USA satellite Landsat8 images from 2014 to 2020 and determine the depletion of vegetative health over those years. A great effort has been put forward to assess to indicate the regions where afforestation measurement should be taken at the earliest to check the further deterioration of deltic greeneries on the Indian side.
Keywords: GIS, Sundarban, NDVI, Landsat-8, Remote sensing, Land coverage, wetland

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A Survey on Cloud Important ServicesSubhadip Nandi, Dolan Ghosh, Dr Rajesh Bosepp. 31-35

Abstract

SaaS is a model of software program deployment wherein an software is hosted as a servicesupplied to customers across the internet. SaaS is usually used to consult business software program instead of client software program, which falls below net 2.0 with the aid of eliminating the need toinstallation and run an utility on a user’s own pc it is seen as a manner for businesses to get the equal advantages as commercial software program with smaller price outlay[1]. SaaS can alleviate the load of software upkeep and support however customers relinquish control over software variations and necessities. Different phrases that are used in this sphere consist of Platform as a provider (PaaS) and Infrastructure as a provider (IaaS). A public cloud sells offerings to anybody at the internet.
Keywords- Cloud Computing, SaaS, PaaS, IaaS, Internet, Deployment model of Cloud Services

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A Comparative Study Between Cloud Computing and Fog Computing Manash Kumar Mondal, Madhab Bandyopadhyay pp. 36-42

Abstract

Today's world is facing the challenge of Covid19. During this pandemic, the researcher introduced several IoT devices to make life easier. IoT devices like liquid soap dispensers, Blood Oxygen Saturation (SpO2), monitor. This IoT device uses edge and fog computing. Fog computing is an extension of Cloud Computing. In this particular article, we make an extensive comparison among edge, fog, and cloud computing. Our article also demonstrates how technology moves towards edge computing from Cloud core systematically. We also discuss two simulation tools for cloud and fog computing each. Both of the tools provide real life environment for cloud and fog simulation. For simulation purpose, we use CloudSiM for Cloud and iFogSim for fog computing.
Keywords: Cloud computing, Fog computing, Edge computing, CloudSim, iFogSim. Simulator.

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Approaches to Mitigate the Impacts of Highly Contagious Disease COVID-19 Using Machine Learning Algorithm Rahul Banerjee ,Dr.Sandip Roy, Subhadip Nandipp. 43-49

Abstract

Coronavirus pandemic is a worldwide life threading disease after H1N1 swine flu 2009-2010. Already 4,805,210 people got affected by this disease. According to source Wuhan (China) ‘s wet market is the source of this disease and now virus is spreading person to person and reached to all over the world. China reported an overall 2.3% mortality rate among COVID-19 patients. However, a significantly higher mortality rate (14.8%) was reported for senior patients (80 years or older). In Italy, where more than 23% of residents are 65 or older, the overall mortality rate has been about 5%, while the statistics showed a rate of around 20% for senior patients. My main target is to determine why this disease is spreading & how we can control it. To prevent this communicable disease we need proper plan to reduce its effect. Based on available data statistically want to create some pattern to make decision what are the actions can be taken to prevent. Shutdown, lockdown, travel ban is reducing spreading all over the world. Now need proper regional specific plan to flatten the curve. My purpose of analysis is identifying that approaches to mitigate this impact community wise. As demographic pattern & density is one of the key factors to reduce effect, so I have pointed out few factors of indicators in my conclusion section. My estimated result will help to take proactive measure to improve our public health system. Required medicine can be restocked to a different part of the country to maintain proper supply chain. Setting up new medical facility, arrangement of ventilator, PPE, N95 mask, gloves can be arranged beforehand to deal with Corona virus crisis.
Keywords: Logistic Regression, Predicted value, confusion matrix

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A Systematic Analysis of the Attack Pattern in Penetration Testing Shantanu Mukherjee, Paramita Chatterjee, Sandip Roy, Rajesh Bose pp. 50-59

Abstract

Data confidentiality has emerged as the prime concern in securing applications across the web. The hackers look for loopholes in the data integrity so that it could be broken and the confidential data could be stolen. Thus, the most preferred way to prevent web applications from revealing the data confidentiality is by scanning and eliminating those loopholes or so-called vulnerabilities. Adopting safe and secure development strategies also help in reducing the security vulnerabilities and they can further be fool proofed by engaging various security measures like intrusion detection systems, firewalls or the like. It started with manual code review, which was considered the best possible method to look for security vulnerabilities in the web applications. The advent of automated SAST and DAST tools brought about a revolution which could help perform security testing without requiring an expert drilling down the code and that too within quite a short span of time. Software security testing, like any other testing methodology, can be broadly split into two categories - Black-Box Testing and White- Box Testing. In this paper I work on the various attack patterns which may be used to elicit the best results out of any penetration test.
Keywords: information security, penetration testing, benefits, attack pattern, procedural, structural, pattern repository.

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A Review on Information Security in Cloud Based System During Covid-19 Pandemic Paramita Chatterjee, Shantanu Mukherjee, Rajesh Bose, Sandip Roy pp. 60-69

Abstract

Work from Home is the new trend in corporate working culture in this Covid-19 pandemic situation. Of course it is a preventative measure to avoid the infection from the disease. Not only companies or corporate world but also education sectors are hugely depending on “online study” as schools and colleges are closed during the pandemic period. Cloud computing is the way that employees and students/teachers can work from home by using this. While using this cloud computing environment, users are using their own private network to accomplish the work and hence the security and privacy factor is major challenges to its user as this paradigm shift is involved with data protection, network security, virtualization security, application security etc. To prevent these security measures lots of researches going on. In this paper authors have tried to take some preventive solution, by going through different research paper and journals, analyzing the risk factor issues and minimize the risk factor. The objective is to underline the principal risk factors in cloud environment and find out the technical solution to it from log in, using the cloud to log out.
Keywords: information security, cloud security, pandemic threat, authentication, confidentiality, access control, integrity, cloud database.

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Impact of Lockdown Due to Spread of Covid-19 in India

Anindya Chowdhury, Saumya Som, Abhishek Das, Aditya Das, Hritick Bose, Dr. Rajesh Bose, Dr. Sandip Roy pp. 70-77

Abstract

A pandemic like Coronavirus can be confusing. Often it starts without anyone noticing anything. It creeps into people’s life unexpectedly and brings the world to a halt. This is what happened at the beginning of the year 2020. With no vaccine on the horizon, the whole world decided to go into lockdown to save human lives. The unexpected nationwide lockdown in India on 24th March was a controversial decision. Our project tries to analyze how each state fared in combating Coronavirus using data available publicly. Followed by predicting cases after each phase of lockdown (Till phase 4).
Keywords: COVID-19, Lockdown, India, Data Science, FBProphet.

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Online Programming Learning - A New normal after COVID 19

Animesh Kumar Singh, Toma Mondal, Ashish Kumar, Nishith Kumar Barik, Asif Iqbal, Sharmishta Dey pp. 78-84

Abstract

Education is one of the basic rights of humanity. Like other sectors, this education industry has witnessed a new normal after COVID 19 pandemic situation. Education sector being one prioritize sector, tends to set a new normal after the pandemic crisis. The blended teaching learning mode is emerging very high, especially during the lockdown situation, changing the dimension of modern education. In this paper we have performed a study on the adaptability of new learning techniques and we have also developed a framework for learning online coding. Our platform not only supports the student by learning coding but also it acts as a common portal where the students can post questions and interact over a topic.
Keywords: Internet Usage, ICT, Flipped Classroom, Zoom, CodeBlog, Python Flask

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A Survey on Principal of VANET in Internet of Things

Souryadipta Das, Rajkumar Sahoo, Souvic Bhattacharyya, Indranil Sarkar pp. 85-90

Abstract

VANET is an ideal technology in which the world looks different to the twenty-first century. VANET uses a special mobile node to create a network. It converts a node into a wireless node by allowing it to connect to each other from 150 to 350 meters. Another node may be involved in creating the network because the node is not within signal range. Vehicles can be placed in a group for communication. VANET has a control plan to manage clustering media access and create VANET as a global topology. Most algorithms and protocols are taken from mobile ad-hoc networks (MANETs) that have some challenges and issues. This paper is a literary survey to present the challenges and issues of clustering in VANET with clustering based routing protocols to expand the scope of research on VANET.
Keywords: VANET, clustering, clustering issues, clustering based routing protocols, Issues and challenges of clustering in VANET.

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New Technologies have Resulted Diverse Innovations

Gunjan Kumari, Shrabonti Oraon, Utsav Mukherjee, Milan Pradhan pp. 91-96

Abstract

Agriculture is India’s backbone, and most Indians depend on agriculture for their livelihood. However, due to many difficulties related to pests and diseases, pesticides, refining etc., Indian farmers do not earn anticipated agriculture pay. In addressing these issues, ICT (Information and Communication Technology) serves as a relief to farmers. There are many schemes such as e-Krishi, Mahindra Krishi Mitra, IFFCO Agri-portal, etc. have been initiated by the Indian Government and help farmers achieve better yield and income. This paper is an effort to gain insight into the issues that farmers face and the ways in which ICT allows them to solve them. One of the best Solutions for this purpose is e-SAP (Electronic Solutions against Agricultural Pests).It is one of the best options for solving the problems and is discussed here.
Keywords: Productivity, ICT, Interactive demand-based agriculture, Communication Technologies, e-SAP.

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Telehealth: Takes major Role During the COVID-19 Pandemic

Writuparna Pal, Sumana Chakraborty, Sayan Bose pp. 97-101

Abstract

COVID-19 (coronavirus) pandemic has exaggerated most countries and has created a very important result on the out there care facilities and treatment systems. Preceding to the COVID-19 telehealth was already being enforced across the country by care systems for the determination of providing isolated care to the patients. this manner was supported by the committed to boost the effectiveness of hospitals, upsurge the gratification of patients and staff, and expand patient access and cut back the fences to treatment. throughout the epidemic condition of COVID-19 telehealth isalso thought-about as a hazard modification policy. This epidemic has created a rush demand for very important care equipment, medicines along side the event of IT applications. These all remains veryimportant reasons for hospital theme to still use telehealth care. duringthis paper we have a tendency to in the main stress on the telemedicine service. With internment putt restrictions on travel, and specialise in social distancing to avoid the blowout of this virus, telemedicine seems to be an excellent alternative for patients and care staff for medical discussions. The epidemic has provided a gap and wish to in haste enlargement of telemedicine services in rising countries.
Keywords: COVID-19, telehealth, epidemic, telemedicine, healthcare.

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A Survey on Smart Desert Farming

Prithwish Chakraborty, Pingki Das, Sourav Sadhukan pp. 102-108

Abstract

With the exponential growth of the human race that means the growth of population, the conventional or ancient farming methods are becoming unable to cope with the growth with satisfaction. Hence advanced farming methods are much needed to approach the necessity of foods of this growing number of people. In the recent few years, smart farming systems based on embedded systems and the Internet of Things (IoT) getting attraction and popularity among people to enhance food production for people. This paper has prescribed farming systems based on the embedded systems, IoT and wireless sensor networks for Agri-farm field and livestock farms. This paper includes the description of systems with the electronic circuitry of the systems, used network protocols and smart distant monitoring systems for PCs and Smartphones, etc. Later it includes some propositions and finally, the paper concludes with describing the future scopes of relevant technologies in smart farming. Even fertile land is hand full, despite being handful the limited fertile land is also getting barren. Alternatively, if we use the barren land in a fertile approach to meet our ever-excessive need of land to grow our food to meet the land then the demand will be at par with food need.
Keywords - Smart Desert Farming, IoT, Cloud Computing, Pods Technology, Bonsai, Big Data., Single Pods, Multiple Pods.

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A Survey on Applications of Silicon-Based Sensors in Biomedical field

Writuparna Pal, Arpita Chakraborty, Gargi Mondal, Basudev Saha pp. 109-114

Abstract

The use of atomic number 14 based mostly sensing element is crucial and continuous approach to use within the field of environmental, industrial and care. In application in these ranges acquire by virtue of its distinct feature over different Micromechanical systems (MEMS) technology. the employment of those atomic number 14 based mostly sensors for medicine edges square measure one in all the foremost vital one, that embrace in addition up the standard of human life and enhance the small fabrication technique on development of multi-operational sensing models. This work purpose outs a number of the vital works tired the medical field of remote space and medicine engineering exploitation atomic number 14 based mostly sensors technology. during this paper, we tend to emphasize the various pattern, electrodes fabrication techniques and also the use of atomic number 14 based mostly sensors.
Keywords: Sensors, silicon, MEMS, in-vitro, fabrication

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Voice Analysis and Replication with Transfer Learning

Krishnendu Saha, Reeju Bhattacherji, Rishav Bhattacherjee, Partha Pratim Dasgupta pp. 115-118

Abstract

In this cyber era, Artificial Intelligence (AI) is the ultimate thing. We all want AI as our assistance. And if we are talking about AI, then artificially synthesize voice comes first. So, we are here with a design for artificially cloned or synthesize human voice. In this design, we have three methods (1) encryption of speaker's voice, after taking a noisy speech, to generate a fixed-dimensional embedding vector from only a few seconds of reference speech from a target speaker and store it in a database in an encrypted form as like a module to use it for generating a human-like mechanical voice (2) speech to the text module, through this module we are going to synthesizes the speaker's voice and analysed the dataset to give it a textual form (3) text to speech, it is one of the valuable modules, here we are going to transform the textual state into a synthesize vocal or wave format which depends on the dimensional embedding vector form of the speaker's voice. Throughout these modules, with the learning and training process, the system is going to learn a high-quality replication of the human-voice.
Keywords: Transfer learning, Voice replication, Human voice analysis, Machine learning, Artificial neuron, Speech to Text, Text to speech, voice analysis

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Role of Machine Learning in Diagnosis and Recovery from Depression

Prayasee Ghosh, Kaushik Chanda, Raktim Kumar Dey, Indranil Sarkar, Sandip Roy pp. 119-130

Abstract

Depression is a global health problem. The demand for solving mental illness and recovery from other mental health issues is rising day by day. The World Health Organization (WHO) and its members paid attention to take action in this global problem. Nowadayswe can assemble any type of information about anyone from social media. It has become a global platform where its users express all their feelings, emotions and opinions. Different people suffer from speech disorder due to some sudden shock like stroke or depression. Proper analysis of the reason behind depression can lead to a quick recovery from it. Speech therapy is a widely known solution for restoring someone’s original ability to speak properly and explain. Artificial Intelligence (AI) has hugely drawn attention of academic sector and industry for its efficiency in different areas of research over the last few decades. Being one of the driving forces of Industry 4.0 paradigm, it is resulting in automation, analytics and development of improved product strategies in various sectors throughout the world. In various state-of-the-art literature, machine learning techniques have been applied in diagnosis of depression and treatment for it. In this chapter, existing works in the concerned area have been reviewed and analysing different loopholes found in those, a probable future direction for the research has been provided [17].
Keywords: Mental Health, Personalized healthcare, Depression treatment, Deep Learning, Convolutional Neural Network

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A Comprehensive Analysis Based on the Use of Plastic to Fuel

Ayan Kumar Dey, Partha Pratim Dasgupta pp. 131-136

Abstract

This paper predominantly examinations the possibilities of advancements to back out our obstructions or rather we can say this paper is a proof that science can transform a by-product into important items and synthetics. Plastic products have benefits such as transparency, featherweight, robust and poor assembling process. Worn plastics will be settled into an open location and finally got dumped in the ocean or landfill. From the title, we can undoubtedly expect what is the issue here. Finding a feasible method to discard plastic waste has never been so significant. Rising consciousness of the productive natural harm brought about by single-use plastics, notwithstanding individuals' inadequate reusing propensities, has implied specialists are progressively going to elective removal strategies for our mounting plastic yield. In our daily life, if we can ease out our livings with the help of science or new emerging technologies, no other achievement can replace that.
Keywords: plastic waste, energy, fuel, single-use plastics, reusing propensities.

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An Analytical Study for Predicting Suicidal Tendencies Using Machine Learning Algorithms

Mou Ghosh, Susama Chatterjee, Debarupa Das, Kaushik Chanda, Dr. Sandip Roy pp. 137-146

Abstract

Suicide, one of the most important concerns in the world, is causing one death in every 40 seconds, according to WHO. Since the last 45 years, having the suicide rate increasing by 45% around the world, is raising a question with the adaptability of fast life style and complexities related to this smart technological era. Especially in a developing country like India the increasing problem of suicidal tendency among young generations and middle- aged persons raises a question mark for the well-being in this smart city oriented highly technological scenario. Among many reasons of suicide depression is a big factor behind many deaths in today’s scenario. This chapter not only highlights the factors responsible for suicidal tendency, but also performs a study on several models and machine learning based applications for anticipating the suicidal tendency of a person by remote monitoring, which is very essential to prevent the attempt of such a devastating crime. Priority has been imposed upon depression as a cause of suicidaltendencies(Esteban A,2019).
Keywords: Depression, Deep Learning, Suicidal tendency, Smart Self-immolation prediction

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A Smart Network and Port Scanning Tool

Anurag Mondal, Liza Rozario, Partha Pratim Dasgupta pp. 147-152

Abstract

In computer networking, a port is an endpoint for communication. At the software level, a port is a conceptual construct within an operating system that defines a particular process or form of network service. The Transmission Control Protocol (TCP) and the User Datagram Protocol are the most common transport protocols that use port numbers (UDP). Port scanning refers to device port monitoring, which is performed by us when we want to connect with a certain computer. To find communication points inside unique device ports, we perform port-scanning techniques. To be able to check whether a service is currently running on a port or how many services are running or to scan number of hosts alive in a network, where we need to ping every single IP of the network and wait for the response, seems hectic and for this particular reason, a network automation tool will come very handy for the user and as a solution to this and a lot more, we bring DEDMAP - a Simple but Powerful, Clever and Flexible Cross-Platform Port Scanning tool made with ease to use and convenience in mind.
Keywords: Networking; TCP; UDP; Automation; Dedmap;

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A Novel Approach of HTML5 in Modern Web Development Technology

Soumak Das, Basudev Saha pp. 153-158

Abstract

HTML5 is wherever this days.HTML5 is a characteristic advancement of prior adaptations of HTML and tries to mirror the necessities of both current and future sites. The senior adaptations of HTML, HTML4.01, which came in 1999, and the web advancement have transformed amazingly from that time. Presently HTML4, XHTML, CSS, HTML DOM level 2 are subbed with HTML5.HTML5 was utilized to convey rich substance with no other modules and restrictive advancements. Presently HTML5 to arranged to supply all to the clients from activity to illustrations, music to motion pictures and can likewise be utilized to construct Web applications and backing cross platform.HTML5 standard promises the improvement of ongoing joint effort in internet browsers, which will in general less work for Web designers.
Keywords: Web, users, HTML, HTML5 features, accessibility

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Web Based Photo Analysis and Learning

Sohel Hossain, KrishnenduSaha, Prayasee Ghosh, Partha Pratim Dasgupta pp. 159-161

Abstract

Photography is just like art; it is an art of capturing a moment to make it memorable and special, not only perfect. We have to appreciate these moment catchers, photographers, and their talents. In this scenario, we know that social media is an active medium for connecting with these talents. But we all may have little or vast knowledge about the redundancy of social media. It just becomes empty rather than a learning medium, where we spend our valuable time just for nothing or for filtering something from those nothings and just unsighted these talents. So, we are here with an application where we are going to figure out every user's choice and filter out these unnecessary topics so that the user can praise these talents with an open mind and help them to move forward. Here photographer can reach to other photographers, shares their knowledge, and gather some experience to enhance their talents. And the dream to make this social media a learning medium will become true.
Keywords:Photo Analysis and Learning, MERN Stack, MongoDB-Express-React-Node, MVC Format, Sentimental Analysis

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