Volume-8 Issue-12S3, October 2019 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

L102010812S319

IJITEE Journal — Sat, 16 Sep 2023 08:55:57 +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 Smart City #Logic, Functional programming and Microcontrollers for IoT #Sensor Networks, Actuators for Internet of Things #Data Visualization using IoT #IoT Application and Communication Protocol #Big Data Analytics for Social Networking using IoT #IoT Applications for Smart Cities #Emulation and Simulation Methodologies for IoT #IoT Applied for Digital Contents #Microwaves and Photonics #Microwave filter #Micro Strip antenna #Microwave Link design #Microwave oscillator #Frequency selective surface #Microwave Antenna #Microwave Photonics #Radio over Fibre #Optical Communication, #Optical Oscillator #Optical Link Design #Optical Phase Lock Loop #Optical Devices #Computation Intelligence and Analytics #Soft Computing #Advance Ubiquitous Computing #Parallel Computing #Distributed Computing #Machine Learning #Information Retrieval #Expert Systems #Data Mining #Text Mining #Data Warehousing #Predictive Analysis #Data Management #Big Data Analytics #Big Data Security #Energy Harvesting and Wireless Power Transmission #Energy Harvesting and Transfer for Wireless Sensor Networks #Economics of Energy Harvesting Communications #Waveform Optimization for Wireless Power Transfer #RF Energy Harvesting #Wireless Power Transmission #Microstrip Antenna Design and Application #Wearable Textile Antenna #Luminescence #Rectenna #Advance Concept of Networking and Database #Computer Network #Mobile Adhoc Network #Image Security #Application Artificial Intelligence and Machine Learning in the Field of Network and Database #Data Analytic #High Performance Computing #Pattern Recognition #Machine Learning (ML) and Knowledge Mining (KM) #Regression and Prediction #Problem Solving and Planning #Clustering #Classification #Neural Information Processing #Vision and Speech Perception #Heterogeneous and Streaming Data #Natural Language Processing #Probabilistic Models and Methods #Reasoning and inference #Marketing and Social Sciences #Data Mining #Knowledge Discovery #Web Mining #Information Retrieval #Design and Diagnosis #Game Playing #Streaming Data #Music Modelling and Analysis #Robotics and Control #Multi-Agent Systems #Bioinformatics #Social Sciences #Industrial Financial and Scientific Applications of All Kind #Advanced Computer Networking Computational Intelligence #Data Management, Exploration, and Mining #Robotics #Artificial Intelligence and Machine Learning #Computer Architecture and VLSI #Computer Graphics, Simulation, and Modelling #Digital System and Logic Design #Natural Language Processing and Machine Translation #Parallel and Distributed Algorithms #Pattern Recognition and Analysis #Systems and Software Engineering #Nature Inspired Computing #Signal and Image Processing #Reconfigurable Computing #Cloud, Cluster, Grid and P2P Computing #Biomedical Computing #Advanced Bioinformatics #Green Computing #Mobile Computing #Nano Ubiquitous Computing #Context Awareness and Personalization, Autonomic and Trusted Computing #Cryptography and Applied Mathematics #Security, Trust and Privacy #Digital Rights Management #Networked-Driven Multicourse Chips #Internet Computing #Agricultural Informatics and Communication #Community Information Systems #Computational Economics, Digital Photogrammetric #Remote Sensing, GIS and GPS #Disaster Management #e-governance, e-Commerce, e-business, e-Learning #Forest Genomics and Informatics #Healthcare Informatics #Information Ecology and Knowledge Management #Irrigation Informatics #Neuro-Informatics #Open Source: Challenges and opportunities #Web-Based Learning: Innovation and Challenges #Soft computing Signal and Speech Processing #Natural Language Processing #Communications #Microstrip Antenna #Microwave #Radar and Satellite #Smart Antenna #MIMO Antenna #Wireless Communication #RFID Network and Applications #5G Communication #6G Communication #Algorithms and Complexity #Sequential, Parallel and Distributed Algorithms and Data Structures #Approximation and Randomized Algorithms #Graph Algorithms and Graph Drawing #On-Line and Streaming Algorithms #Analysis of Algorithms and Computational Complexity #Algorithm Engineering #Web Algorithms #Exact and Parameterized Computation #Algorithmic Game Theory #Computational Biology #Foundations of Communication Networks #Computational Geometry #Discrete Optimization #Software Engineering and Knowledge Engineering #Software Engineering Methodologies #Agent-Based Software Engineering #Artificial Intelligence Approaches to Software Engineering #Component-Based Software Engineering #Embedded and Ubiquitous Software Engineering #Aspect-Based Software Engineering #Empirical Software Engineering #Search-Based Software Engineering #Automated Software Design and Synthesis #Computer-Supported Cooperative Work #Automated Software Specification #Reverse Engineering #Software Engineering Techniques and Production Perspectives #Requirements Engineering #Software Analysis, Design and Modelling #Software Maintenance and Evolution #Software Engineering Tools and Environments #Software Engineering Decision Support #Software Design Patterns #Software Product Lines #Process and Workflow Management #Reflection and Metadata Approaches #Program Understanding and System Maintenance #Software Domain Modelling and Analysis #Software Economics #Multimedia and Hypermedia Software Engineering #Software Engineering Case Study and Experience Reports #Enterprise Software, Middleware, and Tools #Artificial Intelligent Methods, Models, Techniques #Artificial Life and Societies #Swarm Intelligence #Smart Spaces #Autonomic Computing and Agent-Based Systems #Autonomic Computing #Adaptive Systems #Agent Architectures, Ontologies, Languages and Protocols #Multi-Agent Systems #Agent-Based Learning and Knowledge Discovery #Interface Agents #Agent-Based Auctions and Marketplaces #Secure Mobile and Multi-Agent Systems #Mobile Agents #SOA and Service-Oriented Systems #Service-Centric Software Engineering #Service Oriented Requirements Engineering #Service Oriented Architectures #Middleware for Service Based Systems #Service Discovery and Composition #Service Level Agreements (Drafting, Negotiation, Monitoring and Management) #Runtime Service Management #Semantic Web #Data Modelling, Mining and Data Analytics #Aggregation, Integration, and Transformation #Web and Text Mining #Data Mining Methods, Techniques, and Tools #Data Analytics Modelling and Algorithms #Patterns and Frameworks #Data Visualization #Knowledge Systems and Engineering #Knowledge Acquisition #Knowledge-Based and Expert Systems #Knowledge Representation and Retrievals #Knowledge Engineering Tools and Techniques #Time and Knowledge Management Tools #Knowledge Modelling, Integration, Transformation, and Management, #Uncertainty Knowledge Management #Knowledge Visualization #Mobile Computing and Mobile System Engineering #Mobile App Design and Development #Innovative Mobile Applications #Pervasive Computing #Mobile System Validation and Test Automation #Software & System Quality of Service #Soft Computing #Software and System Testing Methods #Quality Assurance Process, Standards, and Systems #Software Safety Systems #Software Test Automation and Tools #Software Dependability, Reliability, Scalability #Software & System Security #Software and System Security and Privacy #Mobile App Security and Privacy #Encryption Methods and Tools #Security Service Systems #Cloud, Sensor Cloud and Mobile Cloud Security #Mobile System Integrity, Security and Fault Tolerance #Emergent Topics #Cloud Computing and Innovative Cloud-Based Application Systems #Mobile Cloud Computing and Application Services #Big Data Analytics Application Systems #Innovative Sensing Cloud and Systems #Large-Scale Cyber Systems #IoT and Smart City Application Systems #Big Data Quality Validation #Big Data Application Quality Services #Smart Learning and Innovative Education Systems #Learning Software Design Engineering #Smart Learning Methods and Environments #Online Learning Systems #Mobile Enabled Learning Systems and Tools #Computer Networks and Inventive Communication Technologies #Addressing & Location Management #Broadband Access Technologies #Adhoc and Sensor Networks #Cross Layer Design and Optimization #Heterogeneous Wireless Networks #High Speed Networks #Internet and Web Applications #Measurement & Performance Analysis #Mobile & Broadband Wireless Internet #Mobile Networks & Wireless LAN #Network Architectures #Network Based Applications #Network Protocols & Wireless Networks #Network Operations & Management #Network Security Trust, & Privacy #Next Generation Internet & Web Architectures #Peer to Peer and Overlay Networks #QOS And Resource Management #Recent Trends & Developments in Computer Networks #Routing, Switching and Addressing Techniques #Self-Organizing Networks and Networked Systems #Ubiquitous Networks #Virtual & Overlay Networks #Wireless Communications #Wireless Mesh Networks and Protocols #Wireless Multimedia Systems #Personal and Wearable Networks #Wireless ad hoc & Sensor Networks #Information-Centric Networking #Embedded Networks #Opportunistic Networking #Delay-Tolerant Networks #Cognitive Radio Networks #Vehicular Networks #Smart Grid Communications #Underwater Sensor Networks #Cyber-Physical Systems #Social Networks #Mobile and Ubiquitous Networking #Green Networking #Overlay and Peer-to-Peer Networks #Local-Area and Metropolitan-Area Networks #Storage-Area Networks #Routing and Transport Protocols #Big Data Networking #Cloud Computing and Networking #Software Defined Networking and Network Function Virtualization #Internet of Things #Link Technologies #Adaptive Networking Applications #Authentication, Authorization, Accounting #Security and Privacy #Cross-Layer Optimization #Mobility and Location-Dependent Services #Multimedia and Real-Time Communication #Machine-to-Machine Communications for Smart Environments #Smart Cities #Network Traffic Characterization and Measurements #Network Management, Reliability and QoS #Performance Evaluation of Networks #Testbeds for Network Experiments #Network Coding #Optical and High-Speed Access Networks #Resent Engineering and Nano Technology #Advanced Computing Architectures and New Programming Models #Bio-Science and Bio-Technology #Collaborative Applications #Communication Architectures for Pervasive Computing #Computer Vision #Computer Science and Its Applications #Computational Techniques in Civil Engineering #Control and Automation #Concrete Engineering #CAD/CAM/CIM #CAE #Database Theory and Application #Data Base Management System #Data Mining #Decision Making #Digital Signal Processing Theory #Distributed Sensor Networks #Distributed Computing #Mechanical Design #Evolutionary Computing and Intelligent Systems #Expert Approaches #Environmental Engineering #Fuzzy logics #Foundation Engineering #FEA #GPS and Location-Based Applications #Grid Networking/ Computing #GEOTECH Engineering #Highways #Human Computer Interaction (HCI) #Image Analysis and Processing #Information and Data Security #Internet Technologies, Infrastructure, Services & Applications #Nano Technology #Mobile Computing and Applications #Multimedia Communications #Network Modelling and Simulation #Network Performance, Protocols, Sensors #Networking Theory and Technologies #Open Models and Architectures #Pattern Recognition #Perception and Semantic Interpretation #Production #Real-Time Information Systems #Remote Sensing #Security Technology and Information Assurance #Soft Computing #Software Engineering & Its Applications #Signal Control System & Processing #Speech Interface, Speech processing #Structural Engineering #Thermal Engineering #Ubiquitous Multimedia Computing #Vision-Based Applications #VLSI Algorithms #Web Technologies #Textile Engineering #Recent on Mechanical Engineering and Technology #Fluid Mechanics #Applied Mathematics and Mechanics #Biomechanics #Heat Transfer #Solid Mechanics #Refrigeration and Air Conditioning #Renewable Energy Technology #Materials Engineering #Composite Materials #Marine Engineering #Petroleum and Mineral Resources Engineering #Textile Engineering #Industrial Engineering #Operational Research #Manufacturing Processes #Machine Design #Quality Control #Mechanical Maintenance #Tribology #CAD/CAM #Aeronautical Engineering #Production Engineering #Welding Technology #Robotics Engineering #Aerospace Engineering #Metallurgy #Rock Mechanics and Mining Sciences #Solid and Structural Mechanics #Theoretical and Applied Fracture Mechanics #Advance Civil Engineering and Technology #Assemblage and System #Behaviour of Structures #Behaviour of Structures under Seismic Loads #Building and Environmental Acoustics #Building Climate Systems #Building Energy #Civil and Environmental Engineering #Coastal Engineering #Composite Materials #Concrete Structures #Construction Economics #Construction Engineering #Design and Performance of Green Building #Design Optimization of Structures #Earthquake Engineering #Energy Efficient Building Technology #Energy Saving Building Materials #Evaluation of Building Envelope Systems under Structural and Environmental Loads #Evaluation of Glazing Systems for Energy Performance #Fire Engineering #Foundations Dynamics #Geotechnical Engineering #Health Monitoring and Life Prediction of Structures #High Performance Concrete #Hydraulic Engineering #Life Cycle Engineering #Materials and Durability #Materials Engineering #Mechanics and Materials Aspects of Advanced Construction Materials #Municipal or Urban Engineering #Nondestructive Testing and Evaluation #Numerical Modelling of Structures #Optimal Design of Structures #Properties and Mechanics of Concrete #Residential, Commercial, Industrial and Public Works #Seismic Evaluation of Building Nonstructural Components #Simulation Optimization and Risk Management #Soil-Structure Interaction #Structural Engineering #Structural Evaluation of Panelized and Masonry Wall Systems #Structural Reliability Analysis #Surveying #Sustainable Structures #Transportation Engineering #Ventilation and Indoor Air Quality #Water Supply and Drainage #PhD ademic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #ESCI #Science #Journal #Conference #SSRN #PubLons #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons

Age Prediction using Image Dataset using Machine Learning
Ishita Verma¹, Urvi Marhatta², Sachin Sharma³, Vijay Kumar⁴

¹Ishita Verma, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

²Urvi Marhatta, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

³Sachin Sharma, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

³Vijay Kumar, Department of Physics, Graphic Era Hill University, Dehradun (Uttarakhand), 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: Gender is a central feature of our personality still. In our social life it is also an significant element. Artificial intelligence age predictions can be used in many fields, such as smart human-machine interface growth , health, cosmetics, electronic commerce etc. The prediction of people’s sex and age from their facial images is an ongoing and active problem of research. The researchers suggested a number of methods to resolve this problem, but the criteria and actual performance are still inadequate. A statistical pattern recognition approach for solving this problem is proposed in this project. Convolutionary Neural Network (ConvNet / CNN), a Deep Learning algorithm, is used as an extractor of features in the proposed solution. CNN takes input images and assigns value to different aspects / objects (learnable weights and biases) of the image and can differentiate between them. ConvNet requires much less preprocessing than other classification algorithms. While the filters are hand-made in primitive methods, ConvNets can learn these filters / features with adequate training. In this research, face images of individuals have been trained with convolutionary neural networks, and age and sex with a high rate of success have been predicted. More than 20,000 images are containing age, gender and ethnicity annotations. The images cover a wide range of poses, facial expression, lighting, occlusion, and resolution.

Keywords: Facial Images; Gender Prediction; Age Prediction; Convolutional Neural Network; Deep Learning.
Scope of the Article: Machine Learning

Download PDF

The post L102010812S319 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

L100710812S319

IJITEE Journal — Sat, 16 Sep 2023 08:01:00 +0000

Dynamic Range Method using Hiddenmarkov Models in RSA and DSA Algorithm
Noor Mohd¹, Ankur Dumka², Vijay Kumar³

¹Noor Mohd, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

²Ankur Dumka, Graphic Era Deemed to be University Dehradun (Uttarakhand), India.

³Vijay Kumar, Professor, Graphic Era Hill University, Dehradun (Uttarakhand), India.

Abstract: Dynamic range approach has become a highest level of research field from last some year. The initiative beyond this process researched field is the reality that some particularrange are used in current environment and also which is used or deploy in an in effectivemanner. Theoverall wireless various range are allocated and fixed, but it is not need to be used. So, at this time the requirement for research in various wireless technologies expanding and there is no space for the wireless various rangesto assignimportant frequency bandsrelated to the future wireless technologies. Therefore, this is a reason to increase the use of the various ranges. To target this, we must be calculating the method for sharing the range. Our purpose to find out the wireless sensors’ techniques, artificial Intelligencetechniques, cloud computing techniques for updating verification time of dynamic range approach. So, we used in this paper the Hidden Markov Model for defining the various types of range characteristics and forecast therangesample that will be obtained in future related methods. This forecast is used to define the RSA and DSA in better its verification time. The method for utilization HMM technique for minimizing the verification time of RSA and DSA will be executed in NS2 and Matlab simulator.

Keywords: Cognitive Radio, Dynamic Range Approach, Hidden Markov Model, RSA Algorithm, DSA Algorithm.
Scope of the Article: Algorithm Engineering

Download PDF

The post L100710812S319 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

L101510812S319

IJITEE Journal — Sat, 16 Sep 2023 07:55:26 +0000

Effects of Computer/Laptop Screen Radiation on Human Beings
Vijay Kumar¹, Deepak Kotnala², J. S. Kalra³, Bhaskar Pant⁴

¹Vijay Kumar, Professor, Department of Physics, Graphic Era Hill University, Dehradun (Uttarakhand), India.

²Deepak Kotnala, BSc Student, Department of Physics, Graphic Era Hill University, Dehradun (Uttarakhand), India.

³J. S. Kalra, A. P., Department of Mechanical Engineering, Graphic Era Hill University, Dehradun (Uttarakhand), India.

⁴Bhaskar Pant, Professor, Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun (Uttarakhand), India.

Abstract: In offices, many people work continuously in front of the screen of computer and laptop. Screen of such type of equipments continuously produce a radiations. These radiations are incident on the face of workers. It affect to the eye and other organs of the body. The radiations enter inside the body and electromagnetic energy is absorbed by the cells and tissues. In this manuscript, it is observed that the radiation of screen of computer/laptop may be harmful for the human beings after a long exposure. It is suggested that people should work for a short duration and if is mandatory to work for a long time in front of screen, the duration of working may be divided into parts.

Keywords: Computer/ Laptop Screen, Electromagnetic Radiation, Health Effects.
Scope of the Article: Computer-Supported Cooperative Work

Download PDF

The post L101510812S319 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

L101010812S319

IJITEE Journal — Sat, 16 Sep 2023 07:43:46 +0000

Ayurvedic Companies on Consumer Behaviour
Shipra Gupta¹, Preeti Sharma²

¹Shipra Gupta, Associate Professor, Department of Commerce, Graphic Era Hill University, Dehradun (Uttarakhand), India.

²CA Preeti Sharma, Department of Commerce, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

Abstract: The Indian FMCG is the fourth largest sector in the economy. In India, raw materials are cheaper and availability of labor are easy than other place. India may be got benefit in this worldwide competitive Era. Many numbers of ayurvedic companies are available in India. Few companies are maintaining their loyalty and believe in customers. Maximum countries of whole world appreciate the ayurvedic medicine of Indian companies. In this manuscript a questionnaire is filled by 50 respondents to know about the consumers’ perception regarding mainly three Ayurveda company and their common brand. This questionnaire is fulfilled by different variables. After the analysis of this study it has been concluded that mostly consumers like the company Dabur and its product Chyawanprash. This manuscript will be very fruitful for the consumers and researchers.

Keywords: Ayurvedic Companies, Comparative Study, Product Chyawanprash, Consumers Buying Behavior.
Scope of the Article: Social Sciences

Download PDF

The post L101010812S319 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

L100910812S319

IJITEE Journal — Sat, 16 Sep 2023 07:36:24 +0000

Proximate Composition of Minor Millets from Cold Semi-Arid Regions
Madhulika Esther Prasad¹, Ishita Joshi², Navin Kumar³, Pankaj Gautam⁴, Jyoti Chhabra⁵

¹Madhulika Esther Prasad, Department of Biotechnology, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

²Ishita Joshi, Department of Food Science & Technology, RMIT University, Melbourne, Australia.

³Navin Kumar, Department of Biotechnology, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

⁴Jyoti Chhabra, Department of Fashion Designing, Graphic Era Hill University, Dehradun (Uttarakhand), India.

⁵Pankaj Gautam, Department of Biotechnology, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

Abstract: The nutritional importance of minor millets growing in geographically and environmentally isolated semi-arid regions remains largely unexplored, which has led to it being underutilized for diet diversification. In this study, the proximate composition of three species of minor millets, namely, Barnyard millet (Echinochloa frumentacea),Finger millet (Eleusine coracana) and Foxtail millet(Setaria italica), grown in traditional millet cultivating regions (cold semi-arid) of the Himalayan range, have been analyzed. Two high altitude locations of contrasting cold temperatures in this region were selected for analysis. Dehradun which exhibits a temperature of 25-27℃, is located at 640 masl. (Meters Above Sea Level) in Uttarakhand West (UW), whereas, the second location, Pithoragarh which exhibits a temperature of 15-17℃ is located at 1514 masl. in Uttarakhand East (UE). The results of this study record a 30.75 percent increase in average protein content of Barnyard millet grains when the same seed stock was grown at the second region of lower temperature, i.e. Pithoragarh (15-17℃), as compared to Dehradun (15-17℃). A 42.66 percent increase in average fat content was also recorded for Barnyard millet grains when grown at Pithoragarh (15-17℃). The two other millet species, Finger millet and Foxtail millet, did not record significant differences in protein and fat contents, however, Foxtail millet displayed marginally increased levels of sodium and potassium. In contrast to the other components analyzed, Total Dietary Fiber (TDF) was found to decrease with growth at the comparatively colder location of Pithoragarh. A 36.71 percent decrease in TDF content was recorded for Barnyard millet, whereas, a 19.25 percent decrease was recorded for Finger millet. Foxtail millet displayed a marginal decrease of only 5.3 percent in TDF content with growth at Pithoragarh. Starch concentration and moisture content for all three species was also studied, but did not record any notable differences due to growth at the colder location of Pithoragarh. The results here indicate an important role of cold temperature and high altitude in regulating the proximate composition of minor millet grains. Studies which explore the proximate composition of millet cultivars in such geographically and environmentally distinct millet growing regions, may reveal new information regarding the nutritional importance of minor millets, and the ideal conditions of growth for maximum nutritional benefit.

Keywords: Millets, Proximate Composition, Cold Temperature, High Altitude.
Scope of the Article: Service Discovery and Composition

Download PDF

The post L100910812S319 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

L100610812S319

IJITEE Journal — Sat, 16 Sep 2023 07:25:17 +0000

Recommendation Systems in the Big Data Era
Neelam Singh¹, Shivanshi Tripathi², Devesh Pratap Singh³, Bhasker Pant⁴, Vijay Kumar⁵

¹Neelam Singh, Department of Computer Science and Engineering, Graphic Era deemed to be University, Dehradun (Uttarakhand), India.

²Shivanshi Tripathi, Department of Computer Application, Graphic Era deemed to be University, Dehradun (Uttarakhand), India.

³Devesh Pratap Singh, Department of Computer Science and Engineering, Graphic Era deemed to be University, Dehradun (Uttarakhand), India.

⁴Bhasker Pant, Department of Computer Science and Engineering, Graphic Era deemed to be University, Dehradun (Uttarakhand), India.

⁵Vijay Kumar, Department of Physics, Graphic Era Hill University, Dehradun (Uttarakhand), India.

Abstract: Rapid progression in technology and increasing use of social media platforms like Facebook, Instagram and Twitter has altered the way of articulating people’s judgment, observation and sentiments about specific product, services, and more. This leads to the production and accumulation of massive amount of data. Recommendation systems are getting impetus when it comes to find insights from this data to make decisions that can be represented in various statistical and graphical forms. They have proven useful in predicting or recommending products ranging from food, movies, restaurants etc. This paper presents an overview about recommendation systems and a review of generation of recommendation methods based on categories like content-based, collaborative, and hybrid approaches. The paper will enlist the limitations which the present recommendation system faces and the possible improvements required in their capabilities to fit into a wider range of application areas.

Keywords: Recommender System, Recommendation, Models, Data Analytics.
Scope of the Article: Big Data Security

Download PDF

The post L100610812S319 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

L100510812S319

IJITEE Journal — Sat, 16 Sep 2023 07:18:17 +0000

IoT based Road Traffic Management System for Metropolitan Cities
Chandrakala Arya¹, Manoj Diwakar², KajalAggarwal³

¹Dr. Chandrakala Arya, School of Computing, Graphic Era Hill University, Dehradun (Uttarakhand), India.

²Dr. Manoj Diwakar, Department of CSE, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

³KajalAggarwal, School of Computing, Graphic Era Hill University, Dehradun (Uttarakhand), India.

Abstract: Many cities in the world face jamming problems in road traffic, particularly in metropolitan cities. At present the traffic controlling systems aresemiautomatic in nature. With the introduction of IoT in road traffic management systems, it revolutionizes the field of road traffic management system and improves the road traffic congestion problem.This paper proposes an IoT-based road traffic management system for metropolitan cities. The proposed system provides the hassle free movement of the vehicles to avoid inconvenience and reroute the higher priority vehicles. Experimental results show that the proposed system gives higher success rate for the low traffic density in the lane.

Keywords: Traffic Management System, Road Traffic.
Scope of the Article: IoT

Download PDF

The post L100510812S319 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

L101910812S319

IJITEE Journal — Sat, 16 Sep 2023 07:06:01 +0000

A Comprehensive Analysis and Solution of Cyber Attacks using Machine Learning Techniques
Vivekanand Kuriyal¹, Vikas Tripathi², Devesh Pratap Singh³, Bhaskar Pant⁴, Vijay Kumar⁵

¹Vivekanand Kuriyal, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

²Vikas Tripathi, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

³Devesh Pratap Singh, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

⁴Bhaskar Pant, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

⁵Vijay Kumar, Professor, Graphic Era Hill University, Dehradun (Uttarakhand), India.

Abstract: Cyber security is a major problem of modern society so that Vulnerabilities of computer Network is become easy with the help of technologies and human skills. Now day’s difference type of attacks occurred for example DOS attack, Probing, R2U, R2L virus, port scans, buffer overflow, CGI Attack and flooding etc. We need a platform where a system can be developed for recognition and prevention of these attacks. In This paper, most of the latest methods are summarised to implement IDS for cyber security. Intrusion Detection Systems is a most suitable solution for cyber attacks. Machine learning based Intrusion Detection Systems have high accuracy, in rapidly changing environment. This paper discusses which type of ML techniques has low accuracy, so it explore some research area for researcher.

Keywords: Machine Learning, Intrusion Detection Systems, Cyber Security, Attacks.
Scope of the Article: Machine Learning

Download PDF

The post L101910812S319 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

L101810812S319

IJITEE Journal — Sat, 16 Sep 2023 06:55:10 +0000

Implementation of Cashless Economy: Measuring the Impact of Awareness and Advantages with Problems with Reference to North India
Amit Uniyal¹, Rupa Khanna², Ranjit Mukherji³, Shipra Gupta⁴

¹Amit Kr. Uniyal, Graphic Era University, Dehradun (Uttarakhand), India.

²Rupa Khanna, Graphic Era University, Dehradun (Uttarakhand), India.

³Ranjit Kr. Mukherji, Graphic Era University, Dehradun (Uttarakhand), India.

⁴Shipra Gupta, Associate Professor, Department of Commerce, Graphic Era Hill University, Dehradun (Uttarakhand), India.

Abstract: A new flagship programme was propelled by the government of India called “The Digital India Programme” to enhance and with a vision to transform the economy of the country into a “Faceless, Paperless, Cashless” economy. RBI is having a major role to play and support the government in achieving the goals. In this study we had tried to study the impact of various factors like awareness, advantages and problems in the cashless economy in India and the impact of awareness and advantages on the problems .The empirical study found that all the three factors have their own importance and impact on the cashless economy. There are other factors also which have an impact on cashless economy. In India it is at its adolescent stage.

Keywords: Demonetization; Cashless; IMPS; NEFT; RTGS; AEPS; Point of Sale.
Scope of the Article: Context Awareness and Personalization

Download PDF

The post L101810812S319 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

L101710812S319

IJITEE Journal — Sat, 16 Sep 2023 06:42:00 +0000

Statistical Method to Predict Agricultural CPI
Yash Kumar Arora¹, Santosh Kumar², Umesh Kumar Tiwari³, Aditi Goswami⁴, Jasmeet Kalra⁵

¹Yash Kumar Arora, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

²Santosh Kumar, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

³Umesh Kumar Tiwari, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

⁴Aditi Goswami, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand), India.

⁵Jasmeet Kalra, Department of Mechanical Engineering, Graphic Era Hill University, Dehradun (Uttarakhand), India.

Abstract: The growth of any country depends on its economy and economic growth is nothing but an increase in the inflation i.e. adjusted market value of the goods and services produced by an economy over time. Statisticians conventionally measure such inflation using the price indices. They are mainly WPI (Wholesale Price Index and CPI (Consumer Price Index). WPI is now known to be an older method of computation because the main focus has to be on consumer prices. CPI is a measure of consumer prices over a certain period. Changes in the CPI are used to assess price changes associated with the cost of living. It can be calculated for rural, urban areas as well as for both. In CPI rural, the workers and labourers are benefitted as their daily wages can be predicted by this approach. The CPI by state data represents the inflation of each of the states giving a concise view of the country. The data is collected and analysed using a mathematical approach called linear regression in future prediction for rural labours based on previous data.

Keywords: CPIInflation, Linear Regression, RMS.
Scope of the Article: Encryption Methods and Tools

Download PDF

The post L101710812S319 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).