样式: 排序: IF: - GO 导出 标记为已读
-
Object Sub-Categorization and Common Framework Method using Iterative AdaBoost for Rapid Detection of Multiple Objects J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 B Narendra Kumar Rao, R Ranjana, Nagendra Panini Challa, S Sreenivasa Chakravarthi, J Vellingiri
Object detection and tracking in real time has numerous applications and benefits in various fields like survey, crime detection etc. The idea of gaining useful information from real time scenes on the roads is called as Traffic Scene Perception (TSP). TSP actually consists of three subtasks namely, detecting things of interest, recognizing the discovered objects and tracking of the moving objects
-
Edge Intelligence with Light Weight CNN Model for Surface Defect Detection in Manufacturing Industry J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 Shobha Rani D, Lakshmi Ramani Burra, Kalyani G, Narendra Kumar Rao B
Surface defect identification is essential for maintaining and improving the quality of industrial products. However, numerous environmental factors, including reflection, radiance, light, and material, affect the defect detection process, considerably increasing the difficulty of detecting surface defects. Deep Learning, a part of Artificial intelligence, can detect surface defects in the industrial
-
Hyper Parameter Optimization for Transfer Learning of ShuffleNetV2 with Edge Computing for Casting Defect Detection J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 Narasimha Prasad L V, Durga Bhavani Dokku, Sri Lakshmi Talasila, Praveen Tumuluru
A casting defect is an expendable abnormality and the most undesirable thing in the metal casting process. In Casting Defect Detection, deep learning based on Convolution Neural Network (CNN) models has been widely used, but most of these models require a lot of processing power. This work proposes a low-power ShuffleNet V2-based Transfer Learning model for defect identification with low latency, easy
-
Health Care Automation in Compliance to Industry 4.0 Standards: A Case Study of Liver Disease Prediction J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 Manjula Devarakonda Venkata, Sumalatha Lingamgunta, K Murali
The industrial internet contributes to the standards of Industry 4.0, which involve handling large volumes of data using advanced soft-computing techniques. Machine Learning (ML) is an advanced soft-computing technique that plays a critical role in predicting and detecting serial chronic diseases, thereby automating the diagnosis. The process constitutes and uses several data mining algorithms and
-
Techno-economic Study by Teaching Learning-based Optimization Algorithm for Optimal Placement of DG Units in Distribution Systems J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 Hari Prasad C, K Subbaramaiah, P Sujatha
A significant improvement in system performance can be achieved by placing Distributed Generator (DG) units of the optimal size in optimum network of radial distribution locations. In order to maximize the economic and technological benefits, it is necessary to reduce yearly economic losses. These losses include expenditures associated with installation and operation of the buses as well as power loss
-
Prediction of Ground Water Level using SVM-WOA Approach: A Case Study J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 Deba Prakash Satapathy, Sujeet Kumar Sahoo
Reliable and accurate estimation of Groundwater Level (GWL) fluctuations is essential and vital for sustainable water resources management. Due to uncertainties and interdependencies in hydro-geological processes, GWL prediction is complex by the fact that fluctuation of GWL is extremely nonlinear and non-stationary. Utilising novel methods for accurately predicting GWL is of vital significance in
-
Industry 4.0 Based Efficient Energy Management in Microgrid J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 Neeraj, Pankaj Gupta, Anuradha Tomar
Industry 4.0 which includes new technologies such as artificial intelligence, machine learning, and the internet of things etc. has brought the revolution in the field of energy management of a microgrid. Energy management is the backbone of a microgrid that needs to be controlled efficiently for a low system failure. There are a lot of issues, such as the intermittent nature of generation, proper
-
An Industry Framework for Remote Health Monitoring using Machine Learning Models to Predict a Disease J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 N Venkateswarulu, Chiranjeevi Manike, O Obulesu
Remote health monitoring frameworks gained significant attention due to their real intervention and treatment standards. Most conventional works object to developing remote monitoring frameworks for identifying the disease at the earlier stages for an appropriate diagnosis. Still, it faced the problems with complexity in operations, increased cost of resources, misprediction results, which requires
-
Sustainable and Reliable Healthcare Automation and Digitization using Machine Learning Techniques J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 B V D S Sekhar, Bh V S Ramakrishnam Raju, N Udaya Kumar, VVSSS Chakravarthy
Healthcare 4.0 takes significant benefits while aligned with Industry 4.0. Mainly citing the recent and existing pandemic, the need for Industry Internet of Things (IIoT), automation, digitalization, and induction of machine learning techniques for forecasting and prediction have been the technologies to rely on. On these lines, digitization and automation in the healthcare industry have been practical
-
Learning How to Detect Salient Objects in Nighttime Scenes J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 Nan Mu, Jinjia Guo, Jinshan Tang
The detection of salient objects in nighttime scene settings is an essential research issue in computer vision. None of the known approaches can accurately anticipate salient objects in the nighttime scenes. Due to the lack of visible light, spatial visual information cannot be accurately perceived by traditional and deep network models. This paper proposed a Mountain Basin Network (MBNet) to identify
-
Detection of COVID 19 using X-ray Images with Fine-tuned Transfer Learning J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 K Reddy Madhavi, K Suneetha, K Srujan Raju, Padmavathi Kora, Gudavalli Madhavi, Suresh Kallam
Recently, COVID-19 infection has been spread to a wider human population worldwide and deemed a pandemic for its rapidity. The absence of medicine or immunization for the “COVID-19” illness, along with the requirement for early discovery and isolation of affected persons, is critical in reducing the risk of infection in healthy population. Blood specimens, or “RT-PCR” are primary screening technique
-
Modified Social Group Optimization Based Deep Learning Techniques for Automation of Brain Tumor Detection–A Health Care 4.0 Application J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 B Tapasvi, E Gnanamanoharan, N Udaya Kumar
Now-a-days, Segmentation is essential in diagnosing severe diseases wherever there is a scope for image processing. In this work, hybridization of most popular and metaheuristic algorithms with Conventional Neural Network (CNN) has been proposed. As a part of the study, jelly fish and Modified Social Group Optimization Algorithms (MSGOA) are used. The CNN weights and the corresponding hyper parameters
-
Machine Learning-Based Cooperative Spectrum Sensing in A Generalized α-κ-μ Fading Channel J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 Srinivas Samala, Subhashree Mishra, Sudhansu Sekhar Singh
An improvement in spectrum usage is possible with the help of a cognitive radio network, which allows secondary users’ access to the unused licensed frequency band of a primary user. Thus, spectrum sensing is a fundamental concept in cognitive radio networks. In recent years, Cooperative spectrum sensing using machine learning has garnered a great deal of attention as a technique of enhancing sensing
-
Brain Tumor Classification using SLIC Segmentation with Superpixel Fusion, GoogleNet, and Linear Neighborhood Semantic Segmentation J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 Snehalatha Naik, Siddarama Patil
Brain tumor is an abnormal tissue mass resultant of uncontrolled growth of cells. Brain tumors often reduce life expectancy and cause death in the later stages. Automatic detection of brain tumors is a challenging and important task in computer-aided disease diagnosis systems. This paper presents a deep learning-based approach to the classification of brain tumors. The noise in the brain MRI image
-
Network Path Optimization Strategy using Collaborative Cache for Delay Tolerant Networks J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 Chiranjeevi Kunamalla, K Shahu Chatrapati
The data transmissions over Delay Tolerant Networks (DTN) and Social-based Opportunistic networks have increased in the last few years due to a higher demand for remote transmissions. The wide applications of DTN have significantly motivated the researchers to focus on finding optimized routing strategies by optimizing various parameters such as energy, cost and congestion. Nonetheless, these parallel
-
Design of Rectangular Patch Antenna on the Hilbert Fractal-shaped High Impedance Surface J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-02-08 Akash Kumar Gupta, P Satish Rama Chowdary, M Vamshi Krishna
The high Impedance Technique has emerged as a modern approach for high-gain microstrip antennas. A high impedance surface minimizes surface waves and provides increased gain. Instead of, a typical mushroom to design High Impedance Surface (HIS), fractal geometry can be used. Hilbert curve-based Fractal geometry minimizes physical length and keeps electrical length the same. In this work, three iterations
-
Machine Learning Approach to Improve Data Connectivity in Text-based Personality Prediction using Multiple Data Sources Mapping J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-01-16 Sirasapalli Joshua Johnson, M Ramakrishna Murty
This paper considers the task of personality prediction using social media text data. Personality datasets with conventional personality labels are few, and collecting them is challenging due to privacy concerns and the high expense of hiring expert psychologists to label them. Pertaining to a smaller number of labelled samples available, existing studies usually adds a sentiment, statistical NLP features
-
Optimization and Analysis of Wireless Networks Lifetime using Soft Computing for Industrial Applications J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-01-16 N Muruganandam, R Venkatesan, Raja Marappan, V Venkataraman
Recently, wireless networks are applied in various engineering and industrial applications. One of the critical problems in wireless network system optimization in intelligent applications is obtaining an adequate energy fairness level. This issue can be resolved by applying effective cluster-based routing optimization with multi-hop routing. Hence a new network structure is developed that is derived
-
EEG Signal Classification Automation using Novel Modified Random Forest Approach J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-01-16 G.Aloy Anuja Mary, M Purna kishore, Sridevi Chitti, Ramesh Babu Vallabhaneni, N Renuka
Digitalization and automation are the two aspects in the medical industry that define compliance with industry 4.0. Automation is essential for speeding up the diagnosis process, while digitalization leads to smart medicine and efficient diagnosis. Epilepsy is one such disease that can use these automation techniques. The automatic monitoring of epilepsy EEG is of great significance in clinical medicine
-
Deep Learning Hybrid Approaches to Detect Fake Reviews and Ratings J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-01-16 N Deshai, B Bhaskara Rao
Nowadays, online reviews and ratings are the most valuable source of word-of-mouth, voice-of-customer, and feedback, also customers can make purchasing decisions on what to buy, where to buy, and what to select. Genuine online reviews are becoming popular, but unfortunately, we have an issue that might only sometimes be unbiased or accurate. Because most of the reviews are fake reviews and ratings
-
A Hybrid Classification Approach for Iris Recognition System for Security of Industrial Applications J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-01-16 P Jyothi, D Krishna Reddy, P Naveen Kumar
The biometric authentication system is demanded to identify a particular person from the set of persons. Even though many biometric authentication methods are available such as fingerprint, palm, face, and iris, the iris-based recognition system is effective due to its simplified process. This article proposes an iris recognition system using a hybrid classification approach for security applications
-
DeeR-Hash: A lightweight hash construction for Industry 4.0 / IoT J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-01-16 Deena Nath Gupta, Rajendra Kumar
Industry 4.0 and IoT are emerging computing environments for low energy devices. Implementing complex security mechanisms in such environment is challenging. A lightweight and energy aware hashing provides high security to the devices under these environments. Earlier hash algorithms such as SHA and MD5 were very complex and hence are not suitable for the energy constrained devices. Similar hashing
-
Automated Evaluation of Surface Roughness using Machine Vision based Intelligent Systems J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-01-16 Varun Chebrolu, Ramji Koona, R S Umamaheswara Raju
Machine vision systems play a vital role in entirely automating the evaluation of surface roughness due to the hitches in the conformist system. Machine vision systems significantly abridged the ideal time and human errors for evaluation of the surface roughness in a nondestructive way. In this work, face milling operations are performed on aluminum and a total of 60 diverse cutting experiments are
-
A Comprehensive Review on Audio based Musical Instrument Recognition: Human-Machine Interaction towards Industry 4.0 J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-01-16 Sukanta Kumar Dash, S S Solanki, Soubhik Chakraborty
Over the last two decades, the application of machine technology has shifted from industrial to residential use. Further, advances in hardware and software sectors have led machine technology to its utmost application, the human-machine interaction, a multimodal communication. Multimodal communication refers to the integration of various modalities of information like speech, image, music, gesture
-
MobileNetV2-based Transfer Learning Model with Edge Computing for Automatic Fabric Defect Detection J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-01-16 Lakshmi Ramani Burra, Karuna A, Srinivasarao Tumma, Krishna Marlapalli, Praveen Tumuluru
In textile manufacturing, fabric defect detection is an essential quality control step and a challenging task. Earlier, manual efforts were applied to detect defects in fabric production. Human exhaustion, time consumption, and lack of concentration are the main problems in the manual defect detection process. Machine vision systems based on deep learning play a vital role in the Industrial Internet
-
Using a Novel Hybrid Krill Herd and Bat based Recurrent Replica to Estimate the Sentiment Values of Twitter based Political Data J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-01-16 I Lakshmi Manikyamba, A Krishna Mohan
Big data is an essential part of the world since it is directly applicable to many functions. Twitter is an essential social network or big data replicating political information. However, big data sentiment analysis in opinion mining is challenging for complex information. In this approach, the Twitter-based political datasets are taken as input. Furthermore, the sentiment analysis of twitter-based
-
Sustainable and Short-range Communication Techniques for Smart Industry Environment J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-01-16 Radha Kollipara, Venkata Nagaratna Tilak Alapati
The industries of the future, call for unprecedented flexibility whereas, the communication technology intervention is the best solution. For sustainable development goals in industry automation demand Dedicated Short-range Communication (DSRC) with Intelligent Transportation Systems (ITS). One of these systems' view point is the regular dissemination of safety messages. Integrating this technology
-
Sustainable and Robust Techniques of Wireless Communications for Industry 4.0: Towards Efficient PAPR Reduction Models J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-01-16 Renuka Nellaturu
This work presents the concerns of reliable, comprehensive, and high-quality communication networks essential in wireless communications for Industry 4.0. These are considered critical requirements of wireless technology for Industry 4.0. For a reliable transmission of digital data over broadband widths and Giga Hertz channels, the corresponding Peak-to- Average-Power Ratio (PAPR) must be under control
-
Power Forecasting in Photovoltaic System using Hybrid ANN and Wavelet Transform based Method J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-01-16 Pooja Singh, Anup Kumar Mandpura, Vinod Kumar Yadav
Solar energy is a sustainable, renewable energy which is a part of latest industry standards of operation in line with industry 4.0. Solar power variability leads to fluctuation and uncertainty in Photovoltaic (PV) output power. It is a significant issue with regard to the high penetration of PV power generation. The solar irradiance is affected by weather conditions, and varies with geographical locations
-
An Integrated Secure Scalable Blockchain Framework for IoT Communications J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-01-16 G Chandra Sekhar, R Aruna
The Internet of Things (IoT) has shown great promise in the years since its invention and widespread acceptance by demonstrating its ability to adapt and improve manual processes while bringing them into the digital age. IoT's capacity to do so has elevated it to the ranks of the most promising technologies of our time. Despite the fact that IPv4 and IPv6 are being utilized to serve a growing number
-
QODA – Methodology and Legislative Background for Assessment of Open Government Datasets Quality J. Sci. Ind. Res. (IF 0.6) Pub Date : 2023-01-16 Žaklina Spalević, Nataša Veljković, Petar Milić
In last few years, many open government data portals have been emerging in the world. These portals publish open government datasets which can be accessed and used by everyone for their own needs. In this paper, we propose methodology named QODA (Quality of Open government DAtasets) for assessment of quality of published datasets via two aspects. First one is assessment of quality of pure open government
-
Cascade Network Model to Detect Cognitive Impairment using Clock Drawing Test J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-12-07 Sri Lakshmi Talasila, Vijaya Kumari R
The Clock-Drawing Test (CDT) is commonly used to screen people for assessing cognitive impairment. Diagnoses are based on analyzing the specific features of clock drawing with pen and paper. The manual interpretations and understanding of the features are time-consuming, and test results highly depend on clinical experts' knowledge. Due to the impact of smart devices and advancements in deep learning
-
Energy Efficient Protocol for Lifetime Prediction of Wireless Sensor Network using Multivariate Polynomial Regression Model J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-12-07 Vipul Narayan, A K Daniel
The sensor network performs gathering, monitoring, and tracking of objects in the given area. The sensor nodes are normally distributed randomly in the network area for collecting the information. The major issues in Wireless Sensor Networks (WSN) are coverage, energy, and limited resources. Sensor Nodes’ (SN) performance depends on so many parameters but normally depends on Residual Energy (RE) and
-
UAV Formation Control under Fixed and Variable Adjacency based Directed Network Topologies J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-12-07 Arindam Singha, Anjan Kumar Ray, Arun Baran Samaddar
The UAV formation control is one of the key aspects in several applications like surveillance, moving target tracking, load-transportation, and delivery systems etc. These situations demand the multiple UAVs to manoeuvre in a desired formation. To address this problem, a distributed formation control scheme is proposed incorporating the details about the state of the neighbouring UAVs. The communication
-
Optimized Preprocessing using Time Variant Particle Swarm Optimization (TVPSO) and Deep Learning on Rainfall Data J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-12-07 Umamaheswari P, V Ramaswamy
In the recent past, rainfall prediction has played a significant role in the meteorology department. Changes in rainfall might affect the world's manufacturing and service sectors. Rainfall prediction is a substantial progression in giving input data for weather information and hydrological development applications. In machine learning, accurate and efficient rainfall predictionis used to support strategy
-
A New Pairing-Free Certificateless Signcryption Scheme J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-12-07 Srinivasa Rao Gopisetti, Ramesh Babu Amarapu, Gowri Thumbur, Vasudeva P Reddy
Signcryption is a cryptographic primitive which provides unforgeability and confidentiality for digital communications. Many signcryption schemes have been constructed in the literature for secure communication between smart objects. But, many of these existing schemes are not secure and inefficient for resource constrained applications like WSNs, Mobile computing, VANETs and IoT applications. To enrich
-
Feature Influence Based ETL for Efficient Big Data Management J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-12-07 M Vijayalakshmi, R I Minu
The increased volume of big data introduces various challenges for its maintenance and analysis. There exist various approaches to the problem, but they fail to achieve the expected results. To improve the big data management performance, an efficient real time feature influence analysis based Extraction, Transform, and Loading (ETL) framework is presented in this article. The model fetches the big
-
Turkey's Long-Term Electricity Consumption Forecast J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-12-07 S Emec, G Akkaya
Demand forecasting is essential primarily for planning. Although it is crucial in many sectors and issues, it has particular importance for electricity. Therefore, the issue of electricity consumption forecasting has recently become a prevalent topic. In light of the above, this study aimed to develop an appropriate model to estimate the long-term electricity consumption of Turkey. The study consists
-
Selection of Oil and best Bio-diesel Blend based on Performance and Emission Characteristics of IC Engine: An Integrated CRITIC-TOPSIS Approach J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-12-07 K Saravanakumar, Y Robinson, P Madhu, Manoj Mathew
Selection of optimum bio-diesel blend for internal combustion (IC) engine is crucial. The process of selecting the ideal blend requires a multidimensional analysis. In order to tackle the challenge, an efficient decision-making strategy is required. This paper uses the Multi-Criteria Decision-Making (MCDM) method to offer the selection of a suitable oil and bio-diesel blend based on the performance
-
Impact Assessment of Varied Agroclimatic Conditions on Phosphate Solubilization Potential of Fungi in Fermentation and Soil-Plant System J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-12-07 Rachana Jain, Anumegha Gupta, Akanksha Sharma, Jyoti Saxena, Satya Narayan Naik, Vivek Kumar
In this work, two phosphate solubilizing fungi viz., Aspergillus tubingensis S33 and A. niger S36 were studied under different physiochemical and nutritional parameters in the lab, and in vitro under soil-plant experiments at two very distinct agro-climatic conditions viz., Banasthali, Tonk (Rajasthan), and Dwarahat, Almora (Uttarakhand), India. Phosphate-solubilizing capability was checked with different
-
Effect of Quaternary Ammonium Surfactant on Buccal Permeation of Budesonide Film Formulation: In Silico Docking Studies J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-12-07 Sunil Pattanaik, Souvik Nandi, Rakesh Swain, Rudra Narayana Sahoo, Ashirbad Nanda, Subrata Mallick
Budesonide, an immunosuppressant glucocorticosteroid generally used to ameliorate chronic inflammation. Low bioavailability due to first pass metabolism decreases its therapeutic activity. The present study focuses on the formulation of a biodegradable buccoadhesive film for improvement of buccalpermeation. Transparent buccoadhesive films were prepared by incorporating budesonide in HPMC matrix with
-
Synthesis and Analysis of Novel Thermo-Acoustic and Mechanical Behaviour of Rattan Reinforced Composite for Value Added Applications J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-12-07 S Behera, J R Mohanty, G Nath
The idea of low cost green thermoacoustic composites urge special attention as an alternative candidate for synthetic composites in designing of sound proof and highly flexural components for pollution free electric vehicle and other automotive industries. Short randomly oriented rattan fiber has significant contribution in development of high strength to weight ratio composite with high frequency
-
Are Mass Gathering Events Hot Spot for Spreading of Infectious Diseases: The Kumbh Mela Experience J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-11-24 Ashok Kumar Kanaujiya, Vineet Tiwari
Kumbh Mela, the largest spiritual mass gathering, witnessed around 240 million pilgrims in 2019 at Prayagraj. The huge gathering poses challenges of different kinds including easy transmission of infectious diseases. This research aims to identify the types and causes of infectious diseases and discuss the government's efforts for health and sanitation management. Secondary data from various reports
-
Scientometric Portrait of the Journal of Scientific and Industrial Research based on Papers Published during 2001–2020 J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-11-24 Suresh Kumar, Kashmiri Lal, K C Garg
This study is carried out to understand dynamics of the journal using scientometric indicators. In this regard an analysis of 2,623 records published in Journal of Scientific and Industrial Research during 2001–2020 found that the share of articles published was highest (90%) followed by reviews (5%) and proceeding papers (1.9%). The chronological pattern of output indicates that the number of papers
-
Real Time Static and Dynamic Sign Language Recognition using Deep Learning J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-11-24 P Jayanthi, Ponsy R K Sathia Bhama, K Swetha, S A Subash
Sign language recognition systems are used for enabling communication between deaf-mute people and normal user. Spatial localization of the hands could be a challenging task when hands-only occupies 10% of the entire image. This is overcome by designing a real-time efficient system that is capable of performing the task of extraction, recognition, and classification within a single network with the
-
Research on Sustainable Development Goals: How has Indian Scientific Community Responded? J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-11-24 Aakash Singh, Anurag Kanaujia, Vivek Kumar Singh
Since the adoption of Sustainable Development Goals (SDGs) in 2015, various countries across the world have started programmes to achieve the relevant targets under SDGs. The advancements in research and development play a crucial role in achieving these targets. Motivated by this a few studies have tried to map the research publications with their relevance to specific SDGs. However, there are no
-
Isolation and Screening of Potent Cellulolytic Soil Fungi from Raipur City of Chhattisgarh State, India J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-11-24 Ajay James, Srishti Pandya, Priya Sutaoney, Veenu Joshi, Prabir Ghosh
The current research focuses on the diversity of fungal isolates obtained from the soil and their ability to produce cellulolytic enzymes. Out of 76 colonies obtained, 11 fungal colonies were isolated viz. Aspergillus, Humicola and Rhizopus being the major genera of the isolates. From the 11 isolates, the identification of potent cellulase producing cultures was done using qualitative carboxy methyl
-
Combining CEEMDAN with PCA for Effective Cardiac Artefact Suppression from Single-Channel EEG J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-11-24 Rajesh Patel, K Gireesan, R Baskaran
The large signal due to cardiac activity can easily distort the signals originating from the relatively weak electrical activity of the brain, commonly measured as an Electroencephalogram (EEG). The artifact due to cardiac activity in EEG is called cardiac artifact, which contaminates the EEG data and makes interpretation of the EEG difficult for clinicians. Hence it is crucial to remove the cardiac
-
Agricultural Waste based Biocomposite for Electromagnetic Shielding Application J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-11-24 Akshaya Kumar Dash, Priyanka P Singh, Ganeswar Nath
The enhanced significant use of electromagnetic wave introduces new type of pollution in the environment called Electromagnetic Interference (EMI). Different shielding techniques though successfully works in the present scenario but small efficiency of attenuation and absorption capacity of traditional ceramics demands some alternative potential material for enhanced shielding efficiency, which can
-
An Integrated Approach for Fixture Layout Design and Clamping Force Optimization J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-11-24 Michael Thomas Rex F, Ravindran D, Andrews A, Prince Abraham B
Fixture Layout Design (FLD) determines the specific position of locators and clamps to orient and holds the workpiece with respect to a machine tool. The FLD approaches that use Finite Element Analysis (FEA) have been widely used in previous works and have become computationally expensive and specific to a particular problem. Further, the FLD and clamping force optimization were often performed separately
-
Analysis of Multi Carrier Modulation Techniques for 5G Physical Layer Communications Estimation of KPI J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-11-24 T Padmavathi, Kusma Kumari Cheepurupalli, R Madhu
LTE) and Fourth Generation (4G) are the enhancing techniques that contribute the progress of wireless communication systems. The most effective way to save resources in 5G is to make efficient use of all existing discontinuous spectrums, which maximizes Spectrum Efficiency (SE). A valid comparison of many 5G MCM techniques is made in this work, namely Universal Filter Multi Carrier (UFMC), Filter Bank
-
Uncertainties in Bistatic RCS Measurements J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-11-24 Rakesh Kumar Singh, D R Jahagirdhar, N V S N Sarma
Radar Cross Section (RCS) is a far field parameter and limited test range length produces error in its measurements. RCS measured with co-located Tx and Rx antennas is termed as monostatic RCS and with spatially separated Tx and Rx antennas as Bistatic RCS (BRCS). Interest in BRCS measurements has grown due to increase in use of multi-static Radars for detecting low-observable targets. In literature
-
Impact of Preventive Maintenance and Machine Breakdown on Performance of Stochastic Flexible Job Shop Scheduling with Setup Time J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-11-24 Shrajal Gupta, Ajai Jain
Real-time scheduling problems increase the practical implementation of the manufacturing system. In this study, using a single objective performance measure i.e., Number of Tardy Jobs (NTJ), the influence of 5 input constraints, i.e., reliability level (R_L), percentage of machine failure (%McF), mean time to repair for random machine breakdown (MTR_RMcB), due date tightness factor (Ғ), and routing
-
Deciphering the Landscape of Food Science Research Footprints: Scientific Specialties and SDGs J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-10-28 Angad Munshi, Ashim Raj Singla
Due to prevailing milieus, combating hunger, malnutrition, and improving functioning of food systems are now of greater priority to national and international policymakers than they were when the United Nations Sustainable Development Goals (UN SDGs) were announced in 2015. The trade-offs between sustainability, food security, food safety, and making better use of food already produced need to be addressed
-
Optimization of the Ohmic Heating Parameters for Pasteurization of Mango Pulp using Response Surface Methodology J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-10-28 Aparajita Priyadarshini, Kalpana Rayaguru, Lalit M Bal, Diptimayee Jena, Chandrashree Lenka, Sukanya Pradhan
The present investigation optimized the ohmic heating variables influencing the quality parameters of mango pulp during pasteurization. Three independent variables such as voltage gradients (10–20 V/cm) of ohmic heating, pulp temperature (60–80℃) and pulp concentration (6–14 °Brix) were experimented using Box-Behnken experimental design of response surface methodology. The models generated for the
-
Sustainability and Creativity Management in Agribusiness J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-10-28 Hayrold-José Ureña-Espaillat, Antonio-Juan Briones-Peñalver, Juan-Andrés Bernal-Conesa, José-Rodrigo Córdoba-Pachón
Agribusinesses are closely linked to natural resources, and sustainability is relatively important to companies indulged in agribusiness. This is especially true in developing countries, whose agricultural activities have largely focused on increasing efficiency rather than protecting the natural environment. Agribusinesses in these countries are currently facing the challenge of adopting corporate
-
Effect of Overhang Shade on the Solar Heat Gain through Window in Composite Climatic in Mid-Western India J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-10-28 Mahendra Joshi, D Buddhi, Ramkishore Singh
Solar heat gain (SHG) through fenestration (window) dominates towards cooling demands in buildings and eventually increases electricity consumption. Integration of fixed shading devices (i.e. overhang) can reduce the solar heat gain through and overall energy consumption. In this manuscript, solar heat gain factor (SHGF) has been assessed for different designs of overhang. ASHRAE method of fenestration
-
Optimization of Tine Spacing of Seed Drill for Dual Banding of Fertilizer J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-10-28 Dilip Jat, Krishna Pratap Singh, Ravi Mathur
Dual banding of fertilizer is one of the most effective techniques for plants, which is achieved with a combination of tines mounted on seed drill. Optimization of spacing between tines is essential for band placement of fertilizer and ease of operation of machine. The experiments were conducted in soil bin to optimize the spacings between tines using response surface methodology (RSM). The lateral
-
Prevention of Blackhole Attack in MANET using Certificateless Signature Scheme J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-10-28 Vimal Kumar, Mahima Shanker, Aanjey Mani Tripathi, Vikash Yadav, Anjani Kumar Rai, Uzair Khan, Mayur Rahul
Mobile AdHoc Networks (MANETs) are the network of self-configuring nodes. Such nodes communicate through single as well as multi-hop modes without the aid of any centralized administrator or pre-existing network infrastructure. Due to this reason, MANETs have gained a highly significance in modern wireless networking technologies. Such networks are extremely vulnerable to one of the security attack
-
Enhancement and Detection of Objects in Underwater Images using Image Super-resolution and Effective Object Detection Model J. Sci. Ind. Res. (IF 0.6) Pub Date : 2022-10-28 R Arumuga Arun, S Umamaheswari, B Nafesha, V Makesh Arvindan, Vengam Udaya Kumar
It is imperative to build an automatic underwater object recognition system in place to reduce the costs of underwater inspections as well as the associated risks. An effective method of detecting underwater objects from underwater images of aquatic after enhancing them using the Image Super-resolution technique is proposed in this study. The proposed approach comprises of two major sections, Underwater