Volume-8 Issue-6C, April 2019 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

F12380486C19

IJITEE Journal — Sat, 18 Nov 2023 07:24:34 +0000

The International Journal of Innovative Technology and Exploring Engineering (IJITEE) has ISSN: 2278-3075 (online), an open-access, peer-reviewed, periodical monthly international journal. This journal is published by Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) in January, February, March, April, May, June, July, August, September, October, November and December.The journal aims to publish high–quality peer–reviewed original articles in the area of Engineering and Technology that covers Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering and all interdisciplinary streams of Engineering and Technology. #Smart Computing and Information Processing #Signal and Speech Processing #Image Processing and Pattern Recognition #WSN#Artificial Intelligence and machine learning #Data mining and warehousing #Data Analytics #Deep learning #Bioinformatics #High Performance computing #Advanced Computer Networking #Cloud Computing #IoT #Parallel Computing on GPU #Human Computer Interactions #Recent Trends in Microelectronics and VLSI Design #Process & Device Technologies #Low-Power Design #Nanometer-Scale Integrated Circuits #Application specific ICs (ASICs) #FPGAs #Nanotechnology #Nano Electronics and Quantum Computing #3. Challenges of Industry and their Solutions, Communications #Advanced Manufacturing Technologies #Artificial Intelligence #Autonomous Robots #Augmented Reality #Big Data Analytics and Business Intelligence #Cyber Physical Systems (CPS) #Digital Clone or Simulation #Industrial Internet of Things (IIoT) #Manufacturing IoT #Plant Cyber Security #Smart Solutions – Wearable Sensors and Smart Glasses #System Integration #Small Batch Manufacturing #Visual Analytics #Virtual Reality #3D Printing # Internet of Things (IoT) #Internet of Things (IoT) & IoE & Edge Computing #Distributed Mobile Applications Utilizing IoT #Security, Privacy and Trust in IoT & IoE #Standards for IoT Applications #Ubiquitous Computing #Block Chain-enabled IoT Device and Data Security and Privacy #Application of WSN in IoT #Cloud Resources Utilization in IoT #Wireless Access Technologies for IoT #Mobile Applications and Services for IoT #Machine/ Deep Learning with IoT & IoE #Smart Sensors and Internet of Things for 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Review and Research Agenda on Supply Chain of Poultry and Meat Products
Alok Singh

Alok Singh, Research Scholar, Department of Management Studies, Indian Institute of Technology, Dhanbad, India.

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: I conducted a review of the literature with the purpose of revamping poultry and meat products supply chain as a relevant research topic. I performed a review of various academic articles published in refereed peer-reviewed international journals in domain of poultry and meat products and its supply chain management. A review has been developed that emphasized the need for alignment of the major issues and key aspects of poultry and meat products and its supply chain processes and the linkage between its supply chain processes and strategy. A final sample of 22 articles out of 56 articles constituted the knowledge base of the study published from 1998 to 2018. The scope of the research is to study the various levels and distinct forms of poultry and meat products supply chain. Literature Survey indicated that most of research has been conducted in the field of products having longer life cycles than the products having shorter life cycle like perishable (poultry and meat) products. The results showed the publication pattern with respect to time and provided the methodology, evidence about the journals and the content elements of poultry and meat products supply chain. The research findings are applicable to a large extent for managerial decisions. There is a wide research scope available in this area as only a limited research has been done in this field. This research work and future researches in this field would be helpful for managers, students as Ill as academicians.

Keywords: Meat Products, Poultry, Review Paper, Supply Chain.
Scope of the Article: Simulation Optimization and Risk Management

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F12370486C19

IJITEE Journal — Sat, 18 Nov 2023 07:21:18 +0000

A Technological Review on Scheduling Algorithm to Improve Performance of Cloud Computing Environment
Rahul Bhatt¹, Mayanak Agarwal²

¹Rahul Bhatt, Uttarakhand Technical University, Dehradun, India.

²Mayanak Agarwal, Gurukul Kangri University, Dehradun, India.

Abstract: Cloud computing is today’s latest technology in computing for storing and managing data in IT sector. It is the upcoming era of registering what’s more, a creating processing worldview in the present day industry, either might be government associations or people in general associations. It is shifted from purchase of a product to pay as you go service, that is delivered to the users using internet and datacenters to store the data, known as Cloud, to store and maintain by different cloud service providers like ; Google, Salesforce etc. In cloud computing environment there should be an effectively and efficiently way to access the data with minimum time and limited resources with proper security, for this purpose, we can use the allocation and scheduling. To speed up the operations, various task scheduling techniques and algorithms were proposed so far but still most of them are not considering both Quality of Service (QoS) and virtual machine optimization factor, which is the upmost important parameter to satisfy the needs of user and effective utilization of resources. By using the cloud simulator, we can create applications using different components like Datacenters to for cloud services, host, cloudlets, different types of users, virtual machines, and other utilities for configuration and analyzing the cloud computing environment. This paper presented a technological survey on task scheduling algorithms with specifying the important features on the Cloud Sim simulator.

Keywords: Cloud Computing, Scheduling, Task Scheduling, Cloud Sim, Pay as you go.
Scope of the Article: Evolutionary Computing and Intelligent Systems

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F12360486C19

IJITEE Journal — Sat, 18 Nov 2023 07:18:21 +0000

Cloud Computing in Libraries and Higher Education: An Innovative User-Centric Quality of Service Model
Jolly Upadhyaya¹, Neelu Jyoti Ahuja², Kapil Dev Sharma³

¹Jolly Upadhyaya, P.H.D. Scholar, Department of Computer Science, UPES, Dehradun, India.

²Dr. Neelu Jyothi Ahuja, Professor, School of Computer Science, UPES, Dehradun, India.

³Kapil Dev Sharma, Assistant Professor, Department of Mechanical Engineering, JIMSEMTC, Greater Noida.

Abstract: Cloud Computing has emerged as an effective system to support the implementation and growth of e-learning in the higher education sector, as well as in institutional libraries. This rising trend has attracted several service providers to the market in a very short span of time. Students and faculties associated with higher education are experiencing an increased need for the use of CC Services to aid development and enhancement of their knowledge base and to help meet the requirement of constant access to the latest research data. While providing such services, however, sufficient consideration and importance has not been attributed to the Quality of Service (QoS) provided and as experienced by the user thus referenced as Quality of Experience (QoE). Currently, no standard model exists that could effectively define the QoE parameters from the users’ point of view. Hence it has become increasingly necessary to monitor, track, and quantify the variables of QoE for cloud computing-based e-learning applications and develop a new QoE Metrics Model. This information would help compare and identify the gaps between user expectations and the real QoS experience. In the current work, various variables of the functional and runtime layers of cloud computing applications, along with user demographic factors, and CC Service dimensions are studied. Dimension and scope are defined using the SERVQUAL model and its factors as a baseline. The new Innovative User-Centric Quality of Experience Metrics Model proposes to improve QoE by providing recommendations that increase the adaptability and effectiveness of cloud computing systems.

Keywords: Cloud Computing; Higher Education; Innovative model; Metrics; Quality of Experience.
Scope of the Article: Computer Science and Its Applications

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F12350486C19

IJITEE Journal — Sat, 18 Nov 2023 07:14:40 +0000

Assessment of Learning Style of Learner using I 2A 2 Learning Style Model
Amit Kumar¹, Neelu Jyothi Ahuja²

¹Amit Kumar, School of Computer Science and Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.

²Neelu Jyothi Ahuja, School of Computer Science and Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.

Abstract: E-learning mode of education is rapidly progressing due to the advancements in education delivery through internet and web innovation. Learning can be beneficial and enhanced by considering the qualities of learner such as knowledge level, cognitive ability, psychological style and learning style facilitating illustrations. Diverse learners have distinctive intellectual and learning abilities. Learning style, which refers to the learners favored approach to learning, is a standout as vital amongst the other parameters for deciding the individual difference of learner. The present work deal with the critical assessment of the I 2A 2 learning styles model through the I2A 2 questionnaire. 147 learners showed up for this assessment and an experimental study was conducted in e-learning environment and the findings were categories using parameter such as reason, method, learner type, age-group, learner level, subject field/area, and learning style preferences through the modality of I 2A 2 learning style model.

Keywords: Learning style, E-Learning, Cognitive Style, Learner Characteristics, Adaptivity.
Scope of the Article: Computer Science and Its Applications

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F12340486C19

IJITEE Journal — Sat, 18 Nov 2023 07:11:49 +0000

Deep Learning based Model for Decision Support with Case Based Reasoning
Luxmi Verma¹, Manish Kumar Mathur²

¹Luxmi Verma, Department of Computer Science & Engineering, Devbhoomi Institute of Technology, Dehradun, India.

²Manish Kumar Mathur, Devbhoomi Institute of Technology, Dehradun, India.

Abstract: Cardiovascular diseases (CVD) the most common reason for deaths worldwide, are not easily diagnosed in initial stages. Early and accurate detection of CVD is highly required to prevent this leading cause of mortality. In the last few years, with the advancement of technology and increased potential of digital procedures, almost every business sector is adapting the automation and hence generating a large volume of data. Health sector is also affected by this outburst of technology and almost all the hospitals are generating a huge volume of data every day. The need of the hour is how to handle such a huge data and finding the hidden correlations among it so that it can be used by clinical experts in disease diagnosing and helps them in decision-making. This paper presents an intelligent decision support model for detection of coronary artery disease (CAD) with the integration of cuckoo algorithm for feature subset, analysis of various classification techniques to diagnose the disease more accurately and case base reasoning (CBR) for detecting the severity of the disease. The results seems promising and the integrated technique shows the accuracy of MLP is 85.48 %.The model can be used as a promising decision making tool for medical experts for detecting cardio vascular diseases in their early stages.

Keywords: Cardiovascular Disease, Multilayer Perceptron, Case Based Reasoning.
Scope of the Article: Computer Science and Its Applications

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F12330486C19

IJITEE Journal — Sat, 18 Nov 2023 07:08:46 +0000

Computational Intelligence for Detection of Coronary Artery Disease with Optimized Features
Varun Sapra¹, Madan Lal Saini²

¹Varun Sapra, Ph.D Scholar, Department of Computer Science, Jagannath University, Jaipur, India.

²Dr. Madan Lal Saini, Department of Computer Science, Jagannath University, Jaipur, India.

Abstract: Coronary Artery Disease (CAD) is one of the foremost cause of mortality in almost all over the world. It falls under the category of non-communicable diseases, that are spreading at a faster pace nowadays. The factors that create a domino effect on the disease are changing life styles, unhealthy food habits, lack of exercise and other socioeconomic factors. In the past few years, with the advancement in information technology services, health sector is transformed largely and is transmitting a massive amount of medical information. With the advancement of machine learning intelligent computational methods have proved their effectiveness in almost every field. Medical field is also getting benefitted from machine learning because of its capabilities to model complex relations. This paper discusses the use of Firefly for feature subset selection with different machine learning schemes for the identification of CAD. The different techniques implemented are Random Forest, Fuzzy Unordered Rule Induction, Logistic regression and Multilayer perceptron using Keras. Deep learning based method outperforms other learning schemes with the accuracy of 89.77%. Thus, the method can pose as a promising tool for screening CAD patients more accurately.

Keywords: Cardiovascular Disease, Coronary Artery Disease, Feature Subset selection, Multilayer Perceptron.
Scope of the Article: Computer Science and Its Applications

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F12320486C19

IJITEE Journal — Sat, 18 Nov 2023 07:06:06 +0000

Analysis of Various Light Weight Protocols in Internet of Things-A Comparative Study
Ankit Khare¹, Rashmi Sharma², Neelu Jyoti Ahuja³

¹Ankit Khare, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India.

²Rashmi Sharma, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India.

³Neelu Jyoti Ahuja, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India.

Abstract: Internet of Things (IoT) incorporates the physical world with computing devices enabling them to be operate from remote region. Sensors and actuators with the assistance of communication protocols (MQTT, CoAP, HTTP, and REST) exchange the data, enabling the smart devices to interact with each other. These sort of devices having restricted limit, the protocols are intended to be handle low data transfer capacity, communication issues and high latency rate. In this paper, existing lightweight protocols in IoT are analyze based on eight different parameters (Architecture, Need of broker, Transport protocol, Security protocol, Scope, Design Methodology, Message size, Service levels) and these protocols can be used based on their application area.

Keywords: COAP, IoT, MQTT, Web Services, REST, SOAP.
Scope of the Article: Computer Science and Its Applications

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F12310486C19

IJITEE Journal — Sat, 18 Nov 2023 07:02:54 +0000

Power Efficient Data Collection in Wireless Sensor Networks
Shamimul Qamar¹, Niranjan Lal²

¹Shamimul Qamar, Department of China National Chemical Engineering, College of Computer Science, King Khalid University, Abha, Saudi Arabia.

²Niranjan Lal, Department of Computer Science and Engineering, Symbiosis Entrance Test, Mody University, Lakshmangarh, Sikar, Rajasthan, India.

Abstract: Wireless sensor networks experiencing exponential growth in the past decade. In almost all areas it is required to manage and monitor the devices with low cost solutions and proper localization process for communication that manages the sensor nodes across the globe, there are many applications those are possible by wireless sensor networks in today’s era like smart home, environmental monitoring, smart traffic management etc. proper identification and communication setup is very important task, especially in Internet of Things or Internet of Everything, among the different sensor nodes in the network and other mobile devices. Designing an efficient, reliable, scalable, and cost-effective localization process is required for the effective communication. Using wireless sensor network, we can access, monitor, and collect the useful information remotely like temperature, humidity, vibration, acceleration. In this paper we have identified issues related to consumption of energy in wireless sensor network (WSN). In wireless sensor network, sensor nodes are deployed randomly to collect the useful data and information from different applications for further processing. Sensor nodes may be located on different locations, in staring we collect the raw data from sensor nodes that will store at remote base station known as sink. As the sensor nodes are located on different geographical locations which have limited battery power and life time. The sensors node battery life is different parameters like traffic intensity, communication channel. There are many researches are going on this area to maximize sensor’s lifetime by using routing mechanism. In this paper, we have proposed LEACH and PEGASIS approaches for improve lifetime of sensor node in wireless sensor networks. Firstly, we have discussed the primary routing challenges, and secondly, in this paper we have covered design area of routing in wireless sensor network with modulation techniques to design efficient routing protocols for wireless sensor networks.

Keywords: Data Collection; Node; Style; Wireless Sensor Network.
Scope of the Article: Computer Science and Its Applications

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F12300486C19

IJITEE Journal — Sat, 18 Nov 2023 06:58:18 +0000

Mobility Management in Constrained Wireless Nodes: A Review
Kamalpreet Singh¹, Amit Aggarwal², Kamal Kumar³

¹Kamalpreet Singh, University of Petroleum and Energy Studies, Dehradun, India.

²Amit Aggarwal, University of Petroleum and Energy Studies, Dehradun, India.

³Kamal Kumar, National Institute of Technology, Uttarakhandg, KLEF, Vaddeswaram, Guntur Andhra Pradesh, India.

Abstract: The key aspect of IOT is interoperability, the potential of different technologies, different hardware platforms, various communication protocols, different operating systems to communicate with each other. Mobile support is required for interoperability between fixed and mobile nodes. As wireless nodes have certain limitations, like reduced power, low-energy and limited resources, attention is required while designing the mobility management scheme. The main challenge in Low Power and Mobile Network is to provide Quality of Service along with the support of mobility. In this paper, latest work in the mobility support of RPL has been discussed in detail along with their contributions and shortcomings.

Keywords: RPL; LPWN; LLN; Mobility; LPLN; IOT.
Scope of the Article: Communication

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F12290486C19

IJITEE Journal — Sat, 18 Nov 2023 06:54:27 +0000

Sentiment Analysis of User Game: After play Analysis
Yogendra Narayan Prajapati¹, Ravindra Chauhan²

¹Yogendra Narayan Prajapati, Department of Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut, India.

²Ravindra Chauhan, Department of Information Technology, Meerut Institute of Engineering and Technology, Meerut, India.

Abstract: This research is to conclude the sentiment of the gamers and the sentiments of them in a whole game play. The evaluation of the information that you extract form the method of play. The player will have a score card and that will be considered as the information for the sentiment analysis report. The tally will be from the prefixed strategy of the genre of the game. The player will be evaluated for the improvement in the game for the upcoming round and can get a detailed analysis of the drawbacks and the flaws faced by the players. The tactic need to be detailed analysis for the improvement. This will also focus on the addictiveness and the player and the proper schedule to play the game and switch the play mode and the genre of game. So that the mood and the effect of virtual reality will be lessen and good mental health of a player.

Keywords: Sentiment, Game Genre, After play Analysis.
Scope of the Article: Computer Science and Its Applications

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