bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Chloride Attack on Basalt Fibre Reinforced Concrete
Authors:   Ph.D*, Head of the department, Civil Engineering Department, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India., Naidu G.Ganesh , Prasad M.Sri Durga Vara ,   Assistant Professor, Civil Department, Pace Institute Of Technology and Sciences, Vallur, Prakasam Dist., Andhra Pradesh, India., Pavani A.Venkata Sai ,   PG scholar, Pace institute of technology and scienes, vallur, prakasam dist., Andhra Pradesh, India.
Published: October 2019

Basalt fibers are extensively used construction materials due to its advantages. This paper emphasizes the behavior of basalt fiber reinforced concrete (BFRC) subjected to chloride attack. Basalt fibers are added in proportions of 0.5%, 1.0%, 1.5%, 2%, and 2.5%. Grade of concrete is M40. Cubes were casted for a standard size of 150*150*150mm and cured for a period of 28 days. Chloride attack is calculated by dipping the cubes in 5% of sodium chloride solution for a span of 28, 60 and 90 days. To estimate the chloride attack impact on BFRC, BFRC is tested for compressive strength, Acid attack and Rapid chloride penetration test.
Secure Data Replication Management Scheme with Better Data Accessibility
Authors:   Research Scholar, Department of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, India, Jayalekshmi M. B. , Krishnaveni Dr. S.H. ,   Associate Professor, Department of Computer Science and Engineering, Baselios Mathews II College of Engineering, Kollam, India
Published: October 2019

Cloud computing technology has gained substantial research interest, due to its remarkable range of services. The major concerns of cloud computing are availability and security. Several security algorithms are presented in the literature for achieving better security and the data availability is increased by utilizing data replicas. However, creation of replicas for all the data is unnecessary and consumes more storage space. Considering this issue, this article presents a Secure Data Replication Management Scheme (SDRMS), which creates replicas by considering the access frequency of the data and the replicas are loaded onto the cloud server by considering the current load of it. This idea balances the load of the cloud server. All the replicas are organized in a tree like structure and the replicas with maximum hit ratio are placed on the first level of the tree to ensure better data accessibility. The performance of the work is satisfactory in terms of data accessibility, storage exploitation, replica allocation and retrieval time.
Exploring the Impact of Street Arts Variables in Preserving the Malaysian Culture
Authors:   Faculty of Applied and Creative Arts, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia., Abdullah* Qistina Donna Lee , Jali Aliffazaie ,   Faculty of Applied and Creative Arts, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia., Salau Jimmy ,   Faculty of Applied and Creative Arts, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia., Hamid Salmiah Abdul ,   Faculty of Applied and Creative Arts, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia.
Published: October 2019

Street art has been becoming one of the popular artwork in contemporary art scene. It has become a tool to help in sending out messages to everyone very easily on a constant basis, just like official advertising and other communication tools. Regardless of cultural or racial differences, street art, in such a creative communication method has the ability to link with people. In fact, some cities in Malaysia have gained popularity since the creation of street arts. With the rise of street arts in Malaysia, some renowned street artists are being commissioned to produce the artworks. Despite the fact that the installation of street art has been established for quite some time, yet it is only now that people are more aware of its importance in improving the city’s image, further to preserve our culture. There is still limited knowledge about the guideline to support the street art activities in preserving our culture. Therefore, this study aims to establish Factor Analysis in Exploring the Impact of Street Arts Variables in Preserving the Malaysian Culture. This paper addresses three variables which is independent variables, moderator and dependent variables. Factor analysis was conducted and eventually a whole new framework for the guideline in supporting the street art activities is proposed in developing tourism sector meanwhile preserving Malaysia culture.
Routing Algorithm To Eliminate Stale Routes (RAESR) In Mobile Ad Hoc Networks
Authors:   Research Scholar, PG and Research Department of Computer Science, Periyar E.V.R. College (Autonomous) (Affiliated to Bharathidasan University),Tiruchirappalli,India,Tamilnadu,, Tamilselvi* P. , Ravi Dr.T.N. ,   Assistant Professor, PG and Research Department of Computer Science, Periyar E.V.R. College (Autonomous) (Affiliated to Bharathidasan University),Tiruchirappalli,India,Tamilnadu..
Published: October 2019

Mobile Ad-hoc Network (MANET) is a collection of self sustaining mobile nodes which are connected through many wi-fi links to form a temporary communication for sharing information between the users. Mobile nodes behave as a host as well as router. As nodes in MANET posse’s mobility in traits frequently leads to irregular link between the nodes. Link failure directs a significant routing overhead during high mobility and also maintaining all the information associated with nodes and routing paths are considered as an extra overhead on the table. In order to overcome these issues, the routing algorithm to eliminate stare routed in routing cache. The neighbor degree centrality table is introduced to recognize the valuable nodes, using the valuable nodes the routes are discovered and link failure information are disseminated across the network wide. The results and findings show that the elimination of stale routes leads to significant reduction in routing overhead which in turn reduces the route error propagation delay.
Design and Development of MWCNTS/PDMS Composite Flexible Dry Electrode and Smart Electronics for Mobile Electrocardiogram Application
Authors:   School of Electronics Engineering, Vellore Institute of Technology, Vellore, Chakraborty* Doyeli , Kantesariya Anjali ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, Singh Chanchal ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, J Kathirvelan. ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore
Published: October 2019

In this work, we have designed and developed MWCNTs based ECG electrodes that are versatile, skin friendly, flexible and waterproof thus helpful in better acquisition of ECG signals compared with the traditional electrodes available in the market. Thick film fabrication technology has been employed in developing the electrodes. Due to advancement in nanotechnology, we have reduced the dimensions, cost, and power requirement of the electrodes. We have used multiwalled-carbonnanotubes(MWCNTs) / Polydimethylsiloxane (PDMS) composite material for developing the electrodes. These electrodes will provide higher performance over typical electrodes and yet another important factor is that these electrodes are waterproof. We have also developed smart electronics circuit for interfacing the proposed MWCNTs/PDMS composite ECG electrode with android phones for mobile ECG application.
Multimodal Decision-level Group Sentiment Prediction of Students in Classrooms
Authors:   Department of Computer Science, Government M.A.M College, Cluster University of Jammu, Jammu, India., Sharma* Dr. Archana , Mansotra Dr. Vibhakar ,   Department of Computer Science and IT, University of Jammu, Jammu, India.
Published: October 2019

Sentiment analysis can be used to study an individual or a group’s emotions and attitudes towards other people and entities like products, services, or social events. With the advancements in the field of deep learning, the enormity of available information on internet, chiefly on social media, combined with powerful computing machines, it’s just a matter of time before artificial intelligence (AI) systems make their presence in every aspect of human life, making our lives more introspective. In this paper, we propose to implement a multimodal sentiment prediction system that can analyze the emotions predicted from different modal sources such as video, audio and text and integrate them to recognize the group emotions of the students in a classroom. Our experimental setup involves a digital video camera with microphones to capture the live video and audio feeds of the students during a lecture. The students are advised to provide their digital feedback on the lecture as ‘tweets’ on their twitter account addressed to the lecturer’s official twitter account. The audio and video frames are separated from the live streaming video using tools such as lame and ffmpeg. A twitter API was used to access and extract messages from twitter platform. The audio and video features are extracted using Mel-Frequency Cepstral Co-efficients (MFCC) and Haar Cascades classifier respectively. The extracted features are then passed to the Convolutional Neural Network (CNN) model trained on the FER2013 facial images database to generate the feature vector for classification of video-based emotions. A Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM), trained on speech emotion corpus database was used to train on the audio features. A lexicon-based approach with senti-word dictionary and learning based approach with custom dataset trained by Support Vector Machines (SVM) was used in the twitter-texts based approach. A decision-level fusion algorithm was applied on these three different modal schemes to integrate the classification results and deduce the overall group emotions of the students. The use-case of this proposed system will be in student emotion recognition, employee performance feedback, monitoring or surveillance-based systems. The implemented system framework was tested in a classroom environment during a live lecture and the predicted emotions demonstrated the classification accuracy of our approach.
QOS Modelling for Software Service Improvement using Adaptive Learning
Authors:   Research Scholar, CSE, Acharya Nagarjuna University, Guntur. Dr. I. Ramesh Babu, Research Supervisor, CSE, Acharya Nagarjuna University, Guntur, Subbarao* Chinnam
Published: October 2019

In this paper, we discussed about quality of service (QoS) related to software implementation for outsourced applications. Quality of service is key challenge to produce distributed software services and mainly focused on relative service provide based on possessions usage of distributed environment. In this work, we presented effective QOS Machine Learning approach to calculate and predict quality of service with respect to outside environment conditions. We also presented depth analysis on relative and successive correlations with enhanced performance of resource classification. Improve and maintain quality of service for dynamic resource utilization and perform application level semantic data relation. The objective of research work is to provide a hybrid learner’s resolution that increases the precision while keeping prototype complication passable. Our proposed experimental results give more accurate and efficiency with respect to traditional approaches.
Optimization of Cutting Force of AISI 304 Austenitic Stainless Steel in a Wet Turning Process
Authors:   Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore - 641114, India., Selvaraj* D. Philip , Philip P. Richard ,   Department of Computer Science and Engineering, Karpagam College of Engineering, Coimbatore – 641032, India.
Published: October 2019

The objective of this research work is to optimize the machining variables of AISI 304 austenitic stainless steel during wet turning operation. The input parameters considered are depth, feed and cutting speed. The output response considered is cutting force. Taguchi technique is used to find the optimum machining conditions for cutting force. ANOVA is used to determine the effect of input variables on the cutting force. ANOVA results indicated that the most significant variable affecting the cutting force during the wet turning process is depth of cut.
Glioblastoma Multiforme Classification by Deep Learning Techniques on Histopathology Images
Authors:   School Of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India., Sumi* P.Sobana , Delhibabu* Radhakrishnan ,   School Of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.
Published: October 2019

Brain tumor is one of the most dangerous diseases, which is very hard to diagnose due to its rare symptoms. Diagnosing disease at right time helps to give proper treatment and could extend patient survival period. Histopathology images of brain tumor are taken from the Cancer Genome Atlas (TCGA). Large numbers of tissues have to be analyzed to diagnose disease efficiently, which produces time consuming problem. In this model CNN architecture like InceptionV3 and InceptionResNetV2 are adapted to solve binary and multi-class issues in brain tumor histology images using transfer learning. InceptionV3 is used to extract features and for fine-tuning, InceptionResNetV2 is used for feature extraction. Framed autoencoder network to transform the extracted features to low dimension space and to do clustering analysis on image. Proposed autoencoder produce better clustering result than features extracted by InceptionResNetV2.
Big Data Analysis Based on Machine Learning Techniques
Authors:   Research Scholar, Department of Computer Science & Engineering, M S Ramaiah Institute of Technology, Bangalore, India., S* Pradeep , Kalmani Jagadish S. ,   Department of Computer Science & Engineering, M S Ramaiah Institute of Technology, Bangalore, India.
Published: October 2019

Most of the online applications such as Amazon, Snap deal, Flip cart and many others, attract customers by presenting user reviews about the services. These services typically include hotels, flights, cabs, holiday plans and many more. The main objective of this paper is to automatically analyze the feedbacks data given by the customers into positive, negative and neutral categories and gives a summarized review in case of multiple sentences is present in the feedback. In this proposed work various sources of data; namely from Flip cart, Snap deal is considered. The method to analyze the data include collecting the data from the mobile/web application sources, filtering the unwanted data, preprocessing and finally analyzing and summarizing the reviews using supervised machine learning techniques.
Simulation and Analytical Estimation of Spillway Flip Bucket Parameters
Authors:   Civil Engineering Department, College of Engineering, Osmania University, Hyderabad – 500007, Telangana State, India,, SVSNDL* Prasanna , Kumar N Suresh ,   Civil Engineering Department, College of Engineering, Osmania University. Hyderabad – 500007, Telangana State, India,
Published: October 2019

Spillway is an important component of the storage structure, meant to discharge excess amount of water in the reservoir. It also acts as a measure to control floods and protect the structure from overtopping and failure. For the safety of the structure, an appropriate energy dissipator is provided at the toe of the spillway. Of many alternatives, a flip buclet is often provided as a energy dissipater and its design plays a significant role. The design involves an accurate estimation of various parameters viz., trajectory jet velocity, angle of throw, length and height of the trajectory jet. The present study was carried out to analytically estimate the design parameters and compare them with the ANSYS-CFD simulation results. A new equation is proposed by means of user-defined function, based on the macro generated VOF - multiphase analysis. The analytical results estimated by the proposed equations were observed to have a good consonance with the simulation results having a variation less than 5%.
Judicial Practice on Official Malfeasance in the Novgorod Province in the 18th Century
Authors:   Yaroslav the Wise Novgorod State University, Veliky Novgorod, Russia, Mitina* Svetlana Igorevna , Sinkevich Nikolay Alexandrovich ,   Yaroslav the Wise Novgorod State University, Veliky Novgorod, Russia, Ogorodnikov Vladimir Ivanovich ,   Academy of the Federal Penitentiary Service of Russia, Ryazan, Russia, Rozhkova Irina Yurievna ,   Academy of the Federal Penitentiary Service of Russia, Ryazan, Russia, Lukanin Victor Viktorovich ,   Academy of the Federal Penitentiary Service of Russia, Ryazan, Russia
Published: October 2019

The article reveals the problem of the realization of officials’ legal responsibility for mercenary abuses in the service during the period of reforms of public administration in Russia in the 18th century on the example of the Novgorod province. The general trends and features of the formation of anti-corruption institutions in the system of provincial authorities and the country as a whole are determined based on the analysis of the history of Russian legislation and the study of the materials of judicial practice.
Occupational Health and Safety of Workers in Pharmaceutical Industries, Himachal Pradesh, India
Authors:   Department of Management, Eternal University, Himachal Pradesh-173101, India., Kumari Geeta , Khanna Shivani ,   Department of Management, Eternal University, Himachal Pradesh-173101, India., Bhanawat Hemant ,   Department of Commerce, Eternal University, Himachal Pradesh-173101,India., Pandey* K. M. ,   Department of Mechanical Engineering, National Institute of Technology Silchar, Assam-788010, India.
Published: October 2019

In this research paper a comparative study on occupational health and safety of workers has been done for two pharmaceutical companies in and around the city of Solan in Himachal Pradesh, India. The results show that more workers have accepted that workers have been provided with appropriate procedures and instructions before completing the task. Therefore, it can be concluded that management takes it seriously that workers understand the exact course of action before carrying out the task so that it is safer for workers to carry out the operations. At the same time, some employees denied that they had proper procedures and instructions. This may be due to a lack of employee awareness. The majority of employees agreed that companies regularly follow the procedures for documenting the investigation of incident, and employees appear to be contented with this provision. Thus, it can be concluded that administration appropriately reviews each incident that occurs during the execution of the task and follows the correct documentation system to determine the real cause for the incident. It is noted that most employees have accepted that companies have followed the proper procedures for inspecting and assessing equipment hazards and that workers are satisfied with them. It can therefore be concluded that the organization has recognized the need to review and investigate the risks to facilities that exist or may exist in the facilities in order to affect workers' health.
Unique Sense: A Smart Computing Prototype 4
Authors:   School of Computer Science, Engineering and Applications, Bharathidasan University, Trichy, Tamil Nadu, India., Selvam* Vijaykumar , Balamurugan Dr. M. ,   School of Computer Science, Engineering and Applications, Bharathidasan University, Trichy, Tamil Nadu, India., Venugopal Sethupathi ,   Mersicher Supply Chain Private Limited, Madurai, India, A Nancy ,   School of Computer Science, Engineering and Applications, Bharathidasan University, Trichy, Tamil Nadu, India., A Aishwarya ,   Sixth Sense Research and Development Foundation, Tamil Nadu, India.
Published: October 2019

The demands of modern science and data driven era is today challenging the computing field from numerus perspective. As a result, today computer architecture and supporting components are getting rapid transformations and upgradations along with the improved and diversified Computing solution. This Unique sense research initiative is most challenging attempt to standardize Smart Computing Technology findings for future computing demands from careful investigation of emerging demands and smart utilization of resources. This research initiative “Unique sense” is the comprehensive construction of Smart computing model for providing solution for the emerging demands from various fields. As a part of this research focuses on one such primitive objective to deliver the provisioning for handling and processing the bigdata and more emerging demands on data handling. Project name “smart computing prototype 4” is the part of Unique sense and the continuity of previous prototype 1, 2 and 3. It is an advanced version of previous deployment. This work consists of Stack of technologies and techniques wrapped together for the bigdata provision on Broadcom BCM2837B0 chip, Cortex-A53 (ARMv8) 64-bit SoC with maximum clock speed 1.4GHz and evaluated its capability.
A Weighted Frequent Item-Set Mining using WD-FIM Algorithm
Authors:   Shatt Al_Arab University College Iraq-Basrah, Khudhair* Abdulhusein Latef
Published: October 2019

Smart systems are the one of the most significant inventions of our times. These systems rely on powerful information mining techniques to achieve intelligence in decision making. Frequent item set mining (FIM), has become one of the most significant research area of data mining. The information present in databases is in-general ambiguous and uncertain. In such databases, one should think of weighted FIM to discover item sets which are significant from end user’s perspective. Be that as it may, with introduction of weight-factor for FIM makes the weighted continuous item sets may not fulfil the descending conclusion property anymore. Subsequently, the pursuit space of successive item set can't be limited by descending conclusion property which prompts a poor time effectiveness. In this paper, we introduce two properties for FIM, first one is, weight judgment downward closure property (WD-FIM), it is for weighted FIM and the second one is existence property for its subsets. In view of above two properties, the WD-FIM calculation is proposed to limit the looking through space of the weighted regular item sets and improve the time effectiveness. In addition, the culmination and time productivity of WD-FIM calculation are examined hypothetically. At last, the exhibition of the proposed WD-FIM calculation is confirmed on both engineered and genuine data sets.
Aida Model: An Invisible Promotional Tool – Maruti Suzuki India Limited Perspective
Authors:   Associate Professor, Dr. B R Ambedkar Institute of Management and Technology, Baghlingampally, Hyderabad, Telangana, India., Donthi* Vasanthi
Published: October 2019

Promotion is a key element in putting across the benefits of your product or service to thecustomers. Well-designed marketing and promotional strategies ensure long-term success, bring in more customers and ensure profitability for businesses. The study is conducted to identify the most effective promotional offers of Maruti Suzuki and to evaluate the affect of promotional offers on purchasing decision of Maruti Suzuki customers. The study is based on AIDA model and the primary data is collected through a questionnaire from the sample population of 81 people chosen by random sampling method. Thedata collected is analyzed using pie charts, percentage bar graphs and chi-square. According to the study most of the respondents agree that effective advertisementsinfluence their purchase decision and their attitude towards a brand.Every promotionalstrategy whether it is an advertisement, discount offer or hoardings usually aims for theincrease in sales and profitability of the organization. Promotion is a key element in puttingacross the benefits of your product or service to the customers. Well-designed marketing andpromotional strategies ensure long-term success; bring in more customers and ensureprofitability for businesses. This proposed research is to identify the most effective promotional offers of Maruti Suzuki and to evaluate the effect of promotional offers on purchasing decision of Maruti Suzuki customers. Promotional strategies and marketing go hand in hand. Well-designedmarketing and promotional strategies ensure long-term success, bring in more customersand ensure profitability for businesses. Without marketing promotions, your brand or servicewould not be able to garner the attention of the pre-occupied customers.
Bodo to English Machine Translation through Transliteration
Authors:   Department of Computer Application, Dhamdhama Anchalik College, Dhamdhama, Nalbari, Assam, India., Islam* Saiful , Purkayastha Prof. Bipul Syam ,   Department of Computer Science, Assam University, Silchar, Assam, India.
Published: October 2019

Machine Translation (MT) is a technique that automatically translates text from one natural language to another using machine like computer. Machine Transliteration (MTn) is also a technique that converts the script of text from source language to target language without changing the pronunciation of the source text. Both the MT and MTn are the challenging research task in the field of Natural Language Processing (NLP) and Computational Linguistics (CL) globally. English is a high resource natural language, whereas Bodo is a low resource natural language. Though Bodo is a recognized language of India; still not much research work has been done on MT and MTn systems due to the low resources. The primary objective of this paper is to develop Bodo to English Machine Translation system with the help of Bodo to English Machine Transliteration system. The Bodo to English MT system has been developed using the Phrase-based Statistical Machine Translation technique for General and News domains of Bodo-English parallel text corpus. The Bodo to English MTn system has been developed using the Hybrid technique for General and News domains of Bodo-English parallel transliterated words/terms. The translation accuracy of the MT system has been evaluated using BLEU technique.
Finite Element Analysis of Different Fused Deposit Materials Utilised in Fabrication of Elbow Orthosis
Authors:   Dept. of Mechanical Engineering, NITTTR Chandigarh, India., Koundal* Nitin , Banwait Dr. S. S. ,   Professor and Dean (R&D), Dept. of Mechanical Engineering, NITTTR Chandigarh, India.
Published: October 2019

Present work aimed to analyse the mechanical properties of various fused deposit materials used in the fabrication of elbow orthosis with the help of simulation. Four materials introduced from ANSYS Engineering data library were analysed, namely Nylon 6/6, ABS, HIPS and Polycarbonate (PC). The structural analysis of elbow orthosis helps us to investigate various materials working life. The orthosis was subjected to 20Nm of torque at the elbow joint. In the present work, the elbow orthosis finite element model was developed using SolidWorks 2017 and further analysed with the ANSYS 2019 R1 academic workbench. The result showed that ABS could withstand 628.31 MPa of equivalent stress which was maximum as compared to other materials and has a total deflection of 3.3817 mm, which indicates it can be used in fabrication of the elbow orthosis.
Potency Variation Analysis of Fly Ash and GGBS with Micro (Polypropylene) Fiber for M45 Concrete
Authors:   M Tech Student, Department of Highway Technology, VTU CGPS, RO Kalaburagi, Karnataka, India,, Mahantesh*  , P.D Maneeth ,   Assistant Professor, Department of Construction Technology, VTU CGPS RO Kalaburagi, Karnataka, India., S Brijbhushan ,   Assistant Professor, Department of Highway Technology VTU CGPS, RO, Kalaburagi, Karnataka.
Published: October 2019

Concrete a widely used, strong and versatilely mould able construction material consist of binding material, aggregates, and water. Concrete can be made of different binding materials but in the present scenario cement concrete is the most preferable concrete all over the world. Due to globalization and industrialization, the infrastructure growth is at a faster rate, which requires a huge amount for development. One of such overused construction material is cement concrete, the survey indicates that the concrete is the world's second most consumed material, after water. It shows that material consumption for the preparation of concrete is very high. Which will directly lead to overuse of natural resources, increasing environmental pollution and also raise the cost of construction The experimental investigation of OPC-53 grade replacement by GGBS 5%, 10%, 15%, 20%, 25% and fly ash 5%, 10%, 15%, 20%, 25% then also adding polypropylene microfiber 1%. Tests on fresh properties and harden properties like compression, Tensile strength, Flexural strength was conducted. Superplasticizer was used to have good workability for all replacement levels. The mix design is carried out for M45 grade of concrete as per, IRC 44-2008.
Stabilisation of Dredged Soil for Road Pavement
Authors:   Civil Engineering Departement, RIMT University, Punjab, India., Farooq* Amir , Verma Punit ,   Civil Engineering Departement ,RIMT University, Punjab, India., Singla Sandeep ,   Civil Engineering Departement, RIMT University, Punjab,india
Published: October 2019

Solid wastes are all the waste which arise from human being and mammal activities that are normally solid and are surplus as unwanted material. In this study, the firm waste has been generated by dredging the Dal Lake, which posesses grave dumping and ecological problems around the Dal Lake. In this study, different percentages of dredged material (by weight) were added to normal silty clay soil samples (obtained from Srinagar city in India) and their index properties and compaction characteristics (using Modified Proctor Compaction tests) were determined. Disturbed soil specimens for various laboratory tests dmax and corresponding water content on the dry side of optimum. CBR sample stabilize with dredged soil were experienced for unsoaked and soaked (soaked for 4 days) conditions. Tests results shows great improvement in engineering properties and CBR value with rise in normal silty clay soil contents in dredged soil. therefore, dredged soil has both rewards. First, to avoid the remarkable ecological problems caused by large scale discarding of dredged soil and second, to help in suitable development of environment about well-known dal lake.
Web Service Factors and Its Impact on Online Purchase Decision of Green Consumers
Authors:   Research Scholar, Department of Business Administration, Annamalai University, Tamil Nadu, India., M* Ramesh , Rajakumar Samudhra ,   Professor, Department of Business Administration, Annamalai University, Tamil Nadu , India.
Published: October 2019

Web based services have gained attention in the recent years for varied applications ranging from booking tickets to shopping online. Initially, common man was not much inclined towards online shopping applications. Subsequently, the reach and acceptance of the internet technologies have facilitated him to perform online services with ease. There are different online factors that impact consumer’s online buying decision like, reliability, payment options, security and privacy policies of the website, customer support etc. This paper addresses the impact of these features on consumer’s buying decision using regression analysis, which would help online shopping companies to improve the online facilities provided to the users.
Import Substitution as a Strategic Means for Ensuring the Sustainability and Competitiveness of the Russian Companies
Authors:   Volgograd State University, Volgograd, Russia., Shor* Inna , Kalashnikov Grigory Mikhailovich ,   Academy of management of the Ministry of internal Affairs of Russia, Moscow, Russia., Klochikhin Vyacheslav Anatolyevich ,   Academy of management of the Ministry of internal Affairs of Russia, Moscow, Russia., Shvetsova Ksenia Andreevna ,   Academy of management of the Ministry of internal Affairs of Russia, Moscow, Russia., Novikov Vladimir Viktorovich ,   Academy of management of the Ministry of internal Affairs of Russia, Moscow, Russia.
Published: October 2019

In terms of the modern geopolitical and economic realia, import substitution is one of the strategic means for ensuring sustainability and competitiveness of Russian companies. Import substitution is a state program, and a special government commission is responsible for the monitoring of its implementation. However, the results of this program that are currently obtained do not provide an insight into its potential. This research aims to devise recommendations for improving the import substitution program as a strategic means for ensuring the sustainability and competitiveness of Russian companies. In this research, we have used the systematic approach, statistical analysis, and the dialectical method of cognition. The article provides a complex analysis of statistical data on the results of the import substitution program implementation in the Russian Federation on the example of the Volgograd region. Consequently, this analysis has enabled us to devise suggestions on how to increase the efficiency of the aforementioned program in order to ensure the sustainable and competitive development of Russian companies. We have come a conclusion that it is crucial to reach a balance between import substitution and export-orientation since it will help eliminate some disadvantages of import substitution and, consequently, help overcome the limitations of the domestic market, create new production facilities, optimize business processes, and decrease the volume of monopoly and corruption.
Staff Management at International Hotel Chains
Authors:   Plekhanov Russian University of Economics, Moscow, Russia., Nikolskaya* Elena Yurievna , Kosheleva Anna Igorevna ,   Plekhanov Russian University of Economics, Moscow, Russia., Pasko Olga Vladimirovna ,   RUDN University, Moscow, Russia., Kovaleva Natalia Iosifovna ,   Moscow state Institute for physical culture, sports and tourism n.a. Yu.A. Senkevich, Moscow, Russia., Bannikov Sergey Alexandrovich ,   Financial University under the Government of the Russian Federation, Moscow, Russia.
Published: October 2019

The article is devoted to the development of innovative approaches to staff management at international hotel chains. The article describes personnel as a driving force to solve problems related to the competitiveness, economic growth, and efficiency of international hotel chains. It is proved that staff management is the key component of the management system at modern hotels, as all targets of a hotel are achieved due to personnel ideas, approaches, and energy. It is determined that the staff management system requires improvement of methods of work with personnel and application of achievements of foreign science and practical experience, and this requires fundamental changes in the vision of the staff role in the development of international hotel chains and understanding the importance of career growth, which becomes the strategic task of both a hotel and a worker.
Design and Simulation of Low Power Consuming Digital Controlled Oscillator in All Digital Phase Locked Loop
Authors:   Research Scholar, Assistant Professor, ECE Department, K L University Campus, Vaddeswaram Village, Andhra Pradesh, India.., Gunda* Sudhakiran , Ravindran R. S Dr. Ernest ,   Assistant Professor, ECE Department, K L University Campus, Vaddeswaram Village, Andhra Pradesh, India.
Published: October 2019

Recent IC technology innovations can achieve lowpower biomedical implant functionality.RF transceivers require low-power and small-sized components in biomedical implants to achieve the best results in frequency and phase control. Phase Locked Loop (PLL) is the key component for controlling these parameters in low power consumption RF transceivers. Therefore All Digital Phase Locked Loop (ADPLL) is chipping effectively into a major role in the fields of Biomedical & Communication. ADPLLs contribute better results in these areas due to their efficient blocks. This paper focuses on the design of low-power Digital Controlled Oscillator (DCO) and provides information on the various ADPLL blocks. To reduce power dissipation DCO is designed with XNOR gate using delay elements by avoiding direct contact between VDD & GND and the MOS transistors were arranged in ring topology. Tanner tools were used to design and simulation. In addition to this it also provides the detailed history of PLLs & ADPLLs and their mathematical analysis. Compared to previous design, the current DCO design gives better power consumption results.
Multiagent Models for Forecasting and Identifying Production Processes
Authors:   Moscow State University of Food Production, Moscow, Russia., Nazoykin* Evgeny Anatolevich , Blagoveshchensky Ivan Germanovich ,   Moscow State University of Food Production, Moscow, Russia.
Published: October 2019

The article is devoted to the method for creating multiagent models for forecasting and identifying production processes using a structural parametric approach. Using multiagent simulation allows reflecting the state and dynamics of complex active systems of production processes with analysis and forecasting of the quality of the finished product. The methods and algorithms of the structural parametric approach to the implementation of an agent-based simulation model based on the system self-diagnosis are described.
To Enhance the Impact of Deep Learning-Based Algorithms in Determining the Behavior of an Individual based on Communication on Social Media
Authors:   Assistant Professor, Department of Computer Science, Dr. D. Y. Patil ACS College, Pimpri, Pune, India., Shivthare* Mrs. Sunayana , Sharma Dr. Yogesh Kumar ,   Associate Professor, and Research Coordinator, Department of Computer Science and Engineering, Shri JJT University, Jhunjhunu, Rajasthan., Patil Dr. Ranjit D. ,   Vice-Principal, and H.O.D, Dr. D.Y. Patil ACS College, Pimpri, Pune, India.
Published: October 2019

In this digitized world, the Internet has become a prominent source to glean various kinds of information. In today’s scenario, people prefer virtual reality instead of one to one communication. The Majority of the population prefers social networking sites to voice themselves through posts, blogs, comments, likes, dislikes. Their sentiments can be found/traced using opinion mining or Sentiment analysis. Sentiment analysis of social media text is a useful technique for identifying peoples’ positive, negative or neutral emotions/sentiments/opinions. Sentiment analysis has gained special attention by researchers from last few years. Traditionally many machine learning algorithms were used to implement it like navie bays, Support Vector Machine and many more. But to overcome the drawbacks of ML in terms of complex classification algorithms different deep learning-based algorithms are introduced like CNN, RNN, and HNN. In this paper, we have studied different deep learning algorithms and intended to propose a deep learning-based model to analyze the behavior of an individual using social media text. Results given by the proposed model can utilize in a range of different fields like business, education, industry, politics, psychology, security, etc.
Multilevel Thresholding based Image Segmentation using Whale Optimization Algorithm
Authors:   Research Scholar, AKTU, Lucknow, Uttar Pradesh, India, Shivahare* Basu Dev , Gupta S.K. ,   Associate Professor, BIET, Jhansi ,Uttar Pradesh, India
Published: October 2019

Whale Optimization Algorithm (WOA) was proposed by Seyedali Mirjalili and Andrew Lewis in 2016. WOA is nature-inspired, meta-heuristic (randomization and deterministic) algorithm, which is being used to solve various single objective, multi objective and multi-dimensional optimization problems. To determine threshold value for image segmentation Otsu, kapur, thresholding etc. methods are used. In this paper multilevel threshold values are computed using WOA and these multilevel threshold values are used for image segmentation. Fitness is computed using Otsu thresholding. Minimum fitness score is considered as best optimal value. WOA has capability to explore, exploit the search s pace and avoid local optima. In multilevel thresholding, complex images are segmented into L+1 levels for multiple threshold values L =2, 3 etc. This paper addresses about performance of Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO) for various benchmark objective functions such as unimodel, multimodel, fix dimension multimodel based on their convergence curves for different number of iterations400,500 600 and compute multilevel threshold values for various level image segmentation using Whale Optimization Algorithm.
Automatic Driver Drowsiness Detection and Accident Prevention System using Image Processing
Authors:   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai., Vigil* M.S Antony , Charan K.Vijay Sriram ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai., Santosh D.Sai ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai., Reddy E.Bhargava ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai.
Published: October 2019

Sleep is a primary need for human beings. The individual desires at least eight hours of sleep to hold on his day by day routine. When someone lacks in take enough relaxation his or her frame does not characteristic(function) properly. First of all, drivers need enough sleep to boost up their work. When we don't have enough sleep, we may become drowsy and falls asleep. Sometimes a few seconds of drowsiness can cost the lives of both driver and passengers as well. So, this gadget proposes a lively monitoring assistant that analyzes drivers' eye blinking action and additionally, mouth portion which exams whether driving is yawning. The system monitors the inputs from the camera located in the driving area and the pictures are captured continuously. These pictures are made into frames that assist the machine to discover d r o w s i n e s s o f f t h e d r i v e r . It is programmed with a time limit for eye blinking operatio n, if the driver extends the time limit, then a standard warni ng warns the driver for daily intervals until the driver retur ns to an active state and also when the driver yawns the dev ice senses yawning movement and the alarm starts beeping. . With the outcomes obtained from the frames, they are categorised into one-of-a-kind paperwork like a normal driver, driving force with dark skin and motive force having severe lights behind. This device overcomes the drawbacks of formerly present systems.
Economic Analysis of 80kw Solar Pv System with Grid and Without Grid by using Homer Pro Software
Authors:   Professor,Department of EEE, GMR Institute of Technology, Rajam, India, sekhar* Chandra
Published: October 2019

This paper describes an economic analysis of 80kW solar PV system connected to Grid. PV system solar energy is an important source to produce electricity now-a-days. 80kW solar PV system is designed by using MATLAB/Simulink Software and analysed the performance evaluation of this system with respect to MATLAB readings of 80kw system designed for on-grid and off-grid using HOMER software to compare the economic analysis of both systems. Compare these on-grid and off-grid systems using homer pro software to calculate the cost of energy (COE) and net present cost (NPC).These Results will help in an optimization techniques and further investigations in solar PV system.
Northward Transport in a Stress Driven Flow Confined to a Porous Medium (Sverdrup Relation in a Porous Medium)
Authors:   Department of Mathematics, Vellore Institute of Technology, Vellore, Tamilnadu, India,, Shobanadevi* N. , Kumar K.Jagadesh ,   Department of Mathematics, Vellore Institute of Technology, Vellore, Tamilnadu, India,
Published: October 2019

We obtain an expression for the total northward mass transport in a porous bed of large extant subject to a stress applied at the top free surface using  -plane approximation. It is found that  -effect is found to be responsible for western intensification of ocean currents. The total northward transport of fluid (See Sverdrup [11]) is found to be closed through the western boundary layer (See: Stommel [4]) in the presence of porous medium.
A Newly Designed Framework for Computing in Wireless Sensor Network
Authors:   Assistant Professor- Krishna Engineering College, Ghaziabad. Research Area- Wireless Sensor Network Membership- IEEE, ACM, Bhushan* Shashi , Singh Anuj Kumar ,   Assistant Professor- Krishna Engineering College, Ghaziabad. Research Area- Wireless Sensor Network Membership- IEEE, ACM, Bohara Bhim Singh ,   Assistant Professor- Krishna Engineering College, Ghaziabad. Research Area- Wireless Sensor Network Membership- IEEE, ACM, Kumar Pramod ,   Professor- Krishna Engineering College, Ghaziabad. Membership-SM IEEE, ACM,IETE
Published: October 2019

In the ongoing years, Wireless Sensor Networks (WSN) is getting consideration among analysts because of its wide scope of uses in real world applications. A WSN comprises of huge number of Sensor Nodes (SNs) that are conveyed all through the area to detect environment. SNs have constrained assets; as far as energy, Power processing, preparing force and data transfer capacity: so the basic viewpoint is the manner by which to lessen the energy utilization of SN so as to improve Network Lifetime. Numerous Energy Efficient systems like information conglomeration, duty cycling, cluster based grouping and deficiency tolerant routing convention has been proposed in writing for improving energy preservation of WSN. In this proposition energy productive structure for processing in WSN by considering all of above energy proficient techniques is given. In WSN, information gathered by SNs should be accessible at Base Station (BS) where it is prepared, dissected and utilized for some reason. Transmitting huge measure of information towards BS devours more energy so it is desirable over neighborhood procedure or total information at network before transmitting to BS. Information accumulation is strategy to total information of SNs so as to decrease traffic towards BS subsequently lessening correspondence energy.
Assessment of Blasting Quality of an Opencast Mine
Authors:   Department of Mining Engineering, Amet University, Chennai, India, Rajak* Mithilesh Kumar , Pradhan Dr. G.K. ,   Department of Mining Engineering, AKS University, Satna., J. Dr. M.C. ,   Department of Petroleum Engineering, Amet University, Chennai, India
Published: October 2019

The goal of this study is to assess the blasting quality of an opencast mine based on fragmentation analysis. Fragmentation of an opencast mine is one of the critical results of the blasting which is treated as the first quality demand in most types of blasting which affects all the downstream processes of mine to mill production like loading, hauling, crushing, and milling efficiency and also the cost involved in thesse processes. In this study, the fragmentation analysis of a chromite mine of Boula-Nuasahi Complex belt was conducted using WipFrag fragmentation analysis programming. Eight snap shots of blasted muck pile of the stated mine were investigated utilizing WipFrag photograph evaluation software. Both single and blended picture examination were done and the blended picture investigation was utilized to assess the top-quality fragmentation of blasting. The mean fragmentation of the impacted shake muckpile was anticipated from the investigation. Finding: Blasted muck pile contained the most proportion of fragments in the dimension vary 10mm to 100mm with a share of 47.37 and coefficient of curvature less than 1indicating blasted muckpile distribution is not very well graded. This study revealed the poor blasting quality of said mine which can be improved by observing and working on weak parts of blasting operation.