bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of Waste Management Service System in Indonesia Based on Service Oriented Architecture (SOA): Go-Waste
Authors:   Information Systems Management Department, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University Jakarta, Indonesia 11480, Jakarta, Indonesia., Tee* Kevin , Nurjannah Rike ,   Information Systems Management Department, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University Jakarta, Indonesia 11480, Jakarta, Indonesia, Lee Derrick ,   Information Systems Management Department, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University Jakarta, Indonesia 11480, Jakarta, Indonesia., Kaburuan Emil R ,   Information Systems Management Department, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University Jakarta, Indonesia 11480, Jakarta, Indonesia.
Published: October 2019

One of the problems experienced by big cities in Indonesia is rubbish. At present the community must pay for the cost of rubbish, whereas rubbish can be useful and profitable if managed properly. One way to manage waste properly is to save waste at the Trash Bank. At present there are already several garbage banks established, but the garbage banks that have been run are not yet optimal, not all people use these facilities. Lack of knowledge and infrastructure facilities hamper the waste management process at the garbage bank. Therefore, the authors propose the concept of an integrated system based on service oriented architecture (SOA) to integrate garbage pickup services, banks, garbage banks, cooperatives, gas, electricity, cable tv, public relations, e-commerce and health insurance as a means of supporting infrastructure to support waste management. The method in this study uses Systematic Literature Review (SLR). The results of this study are in the form of a waste management application design: Go-Waste which integrates waste pick-up service, banks, garbage banks, cooperatives, gas, electricity, cable tv, public relations, e-commerce and health insurance in one platform using a service oriented architecture (SOA).
Fibonacci Algorithm for Determining Minimum Value of a Unimodal Function using MATLAB Programmed Computing Software
Authors:   Department of Applied Mathematics, Delhi Technological University, New Delhi, INDIA, Das* Prof. L. N , Gupta Sanyam ,   Department of Applied Mathematics, Delhi Technological University, New Delhi, INDIA.
Published: October 2019

Fibonacci number sequencing process is a number generating procedure. One among the several applications of such sequencing process is to search the interval where the certain Fibonacci numbers are either at the boundary or at the position related to the Fibonacci numbered sub interval generating expressions. In this paper the author used MATLAB programed computing software to determine the local minimum of a unimodal function that’s domain is not necessarily a continuous number interval and searched the values of the function using a suitable algorithm named Fibonacci algorithm for determining minimum value of a unimodal function.
Optimization and Development of High-Strength High-Volume Fly Ash Concrete Mixes
Authors:   Student, M.Tech. (Structural Engineering), Department of Civil Engineering, Hyderabad, India., Mounika* Ch , Reddy V Srinivasa ,   Professor of Civil Engineering, GRIETHyderabad, India., Rao M V Seshagiri ,   Professor of Civil Engineering, CVR College of Engineering Hyderabad, India, Shrihari S ,   Professor of Civil Engineering, VJIT Hyderabad, India
Published: October 2019

Cement is the most abundantly used ingredient in the production of concrete due to which its production and use has increased manifold. To reduce the carbon footprint left by the cement production, fly ash is used as cement replacement in concrete. Past research studies suggest that the fly ash replacement can be upto 40% beyond which there will be drastic reduction of strength. In the present study, high strength concrete mix of 70 grade is developed with high volume fly ash of 70% as cement replacement. Silica fume of 10% and hydraulic lime of 30% are used as additives in the development of M70 grade high-strength high-volume fly ash concrete. In the present paper, three types of fly ashes are considered for the study of which one which is ultrafine is chosen based on the pozzolanic index and strength activity index. Excess lime needed for various percentage of fly ashes is evaluated based on the empirical equationsgiven by the Dunstan Jr andZayed.
Pythagoras Expectation based Mining Technique for Stock Market Divination
Authors:   Department of Computer Science, Vels Institute of Science, Technology & Advanced Studies, Chennai, India., Bhakiya* S. , Akila* Dr.A. ,   Department of Computer Science, Vels Institute of Science, Technology & Advanced Studies, Chennai, India., Parameswari Dr. R. ,   Department of Computer Science , Vels Institute of Science, Technology and Advanced Studies, Chennai, India.
Published: October 2019

Analysis of stocks will be helpful for the new investors to invest in the stock market depending on the different factors of the application. Stock market checks the daily tasks for manipulation of Sensex, sharestrading and stock market. The exchange gives way for a well-organized and open market for trading in fair, debt instruments and derivatives. Since the last decade, there is an increased need for improving the accuracy of forecasting models in various domains. This paper uses Pythagoras Expectation for Stock Market Prediction. There is a real urge to find the appropriate stock investment which would have a good return. The aim of this article is to predicate the prediction of financial movements in stock market. The proposed work is experimented using the dataset fetched from yahoo finance and the results were verified and found to be significant using ARIMA model.
Boolean Rule Based Classification for Microarray Gene Expression Data
Authors:   Research Scholar, Research & Development Centre, Bharathiar University, Coimbatore, Tamil Nadu, India., Kumar* R.Vengatesh , Lawrance R. ,   Director, Department of Computer Applications, Ayya Nadar Janaki Ammal College, Sivakasi, Tamil Nadu, India
Published: October 2019

Microarray technology provides a way to identify the expression level of ten thousands of genes simultaneously. This is useful for prediction and decision for the cancer treatments. To analyze and classify the gene expression data is more complex task. The rule based classifications are used to simplify the task of classifying genes. In this paper, a novel Boolean Rule based Classification (BRC) algorithm has been proposed. The efficient and relevant Boolean rules are assisting in classifying the test data correctly by Boolean Rule based Classifier model. This model is useful for drug designers. The experimental results show that in many cases the Boolean rule based classification yields more accurate results than other classical approaches.
Classification based Credibility Analysis on Twitter Data
Authors:   School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India., R* Parvathi , J Aravind ,   School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India
Published: October 2019

Twitter is an important place to get access to breaking news and information. So, it is necessary to check the trustworthiness of tweets. Credibility is used to assess the quality of being believable or worthy of trust. Credibility analysis refers to attempt to an ascertain truthfulness in short lie detection. In this work, credibility of the twitter data can be assessed using centrality measures. First the tweets are preprocessed using the preprocessing techniques. The preprocessing techniques on tweets: a stop word removal, stemming, pos tagging etc. are used to improve the performance. Preprocessed twitter data can be used to identify the tweet and author features. Then the centrality measures are applied to the preprocessed dataset. The proposed centrality measures used in this work are Betweeness centrality, Eigenvector centrality, Degree centrality and Closeness centrality. The centrality measures are used to find out the trust between the users and it will be given as input to classifiers. The classifiers like Naïve Bayesian, Support Vector Machine and K Nearest Neighbor are used to classify the tweets based on credibility.
Mono Composite Leaf Spring for Light-Weight Automobiles
Authors:   Pursuing M. Tech in Machine Design , Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Bengaluru., A M* Akhil , B M Preetham ,   Assistant Professor in the department of Mechanical Engineering at Nitte Meenakshi institute of technology Bengaluru., shetty S Dr. Mahesh ,   Associate Professor in the department of Mechanical Engineering at Nitte Meenakshi insititute of Technology, Bengaluru., Yadav Shiv Pratap Singh ,   Assistant Professor in the Department of Mechanical Engineering at Nitte Meenakshi Institute of Technology Bengaluru.
Published: October 2019

The foremost aspire of this mission is to ease overall mass of the vehicle by replacing steel leaf spring in its place of mono composite leaf spring which enhance overall vehcile concert.weight diminution can be achieved principally by preamble of better stuff, creation and well mechanized process,not only lessening of the credence as to tighten your belt energy and save up natural resources. Composite fabric has accompanying elastic strain energy store power. Composite resources provides for more generous burden economy load carrying capacity and stiffness.In this analysis carbon fiber reinforced polymer is used which is enormously strong and it is light fiber reinforced plastic which contains carbon fibers which has good decomposition properties.
Instant Detection of Host in SDN (IDH-SDN)
Authors:   Research Scholar, School of Engineering & Technology, Poornima University, Jaipur, India., Meena* Ramesh Chand , Nawal Meenakshi ,   Associate Professor, Computer Science and Engineering, School of Engineering & Technology, Poornima University, Jaipur India., Bundele Mahesh ,   Director & Principal, Poornima College of Engineering, Jaipur, India
Published: October 2019

SDN features are making it more popular day by day: centralized monitoring, control of network equipments, increased performance and flexibility in designing network policies as per organization requirements. The SDN controller deals with data & control plane separately. The SDN switches are simply data forwarding devices and controller decides control over forwarding data through them. Controller has a technique to identify the network switch and router nodes; but it does not identify the presence of hosts before they generated network traffic and is not able to create the packet forwarding rules, security policies. The objective of this paper is to detect connected host before they generate any traffic and store host details at controller level for future researches in area of development of new network tools, applications, optimizations techniques and security. Here, we propose Instant Detection of Host in SDN (IDH-SDN) to detect host before transmission of any data packet and store host details in a HostTable at controller level. In our experiment, various network topologies have been used to test host detection and data collection algorithm and results of all experiments verified with Wireshark network packet analyzer. The HostTable data may be used for various purposes such as development of new network tools, policies, security approaches in OpenFlow network.
Strength Appraisal of Light Weight Green Concrete Made with Cold Bonded Fly Ash Coarse Aggregate
Authors:   Student, M.Tech. (Structural Engineering), Department of Civil Engineering, Hyderabad, India., Supriya* Y , Reddy V Srinivasa ,   Professor of Civil Engineering, GRIET Hyderabad, India., Rao M V Seshagiri ,   Professor of Civil Engineering, CVR College of Engineering Hyderabad, India., Shrihari S ,   Professor of Civil Engineering, VJIT Hyderabad, India.
Published: October 2019

This study focusses on the development of fly ash concrete made with water/cement ratio of 0.5.To develop fly ash concrete in this study, 40% of cement is replaced with fly ash, manufactured sand is used as fine aggregate, light weight fly ash aggregate as used coarse aggregate and for mixing concrete instead of tap water 12% lime concentrated water is used. The fly ash concrete compressive strength obtained is equivalent to that of M30 grade concrete made with OPC. Two sets of samples are prepared one set with 40% fly ash concrete made with river sand and natural crushed stone coarse aggregates and another set of sample with 40% fly ash concrete made with manufactured sand and artificial light weight fly ash coarse aggregates. Experimental studies revealed that use of manufactured sand enhanced compressive, tensile and flexural strengths by 6-8% only. Even permeation properties such as water absorbtion and porosity of fly ash concrete made with manufactured sand and artificial light weight fly ash coarse aggregates is almost similar to that of fly ash concrete made with made with river sand and natural crushed stone coarse aggregates. The results conclude that fly ash coarse aggregates can be used for structural applications instead of natural coarse aggregates but not feasible for use in pavement as per IS 2386. Manufactured sand can be used as 100% replacement to river sand in fly ash based concretes with improved properties of concrete.
Personal Assistant Based Home Automation using Raspberry PI
Authors:   Electronics and Telecommunication, AISSMS Institute of Information Technology, Pune, Maharashtra, India., Deshpande* Neha Ganesh , Itole Devendra A. ,   Electronics and Telecommunication, AISSMS Institute of Information Technology, Pune, Maharashtra, India.
Published: October 2019

A desired technology in 21st century for home automation is an intelligent system. An objective of any automated system is to reduce human labor, efforts, time and errors. Commonly Home Automation is a system where various home appliances like air conditioner, TV, Refrigerator, etc are capable to communicate with each other and they can be remotely controlled. Here is presented a paper which discuss a home automation system through virtual personal assistant’s capability of speech recognition and through raspberry pi to automate home devices such as air cooler, lights, fans, TV etc. This system is a combination of various different technologies such as voice recognition, voice analysis and voice processing. A device microphone is used to receive voice requests while the speaker gives voice output.. The system also uses Artificial intelligence techniques which can solve various human queries through web search and can also control the home appliances.
Management of Enterprise Innovation Costs to Ensure Economic Security
Authors:   Department of Economic Management of Natural Resources, Institute of Market Problems and Economic-Ecological Research of the NAS of Ukraine, Odessa, Ukraine, Bondarenko* Svitlana , Verbivska Liudmyla ,   Department of Business, Trade and Stock Exchange Operations, Yurii Fedkovych Chernivtsi National University, Chernivtsi, Ukraine, Dobrianskа Natalia ,   Department of administrative management and market problems, Odessa National Polytechnic University, Odessa, Ukraine, Iefimova Ganna ,   Department of economy policy and safety, Admiral Makarov National University of Shipbuilding, Mykolaiv, Ukraine, Pavlova Valentyna ,   Department of Entrepreneurship, Trade and exchange activities, Alfred Nobel University, Dnipro, Ukraine, Mamrotska Oksana ,   Department of Sociology, Philosophy and Law, Odessa National Academy of Food Technologies, Odessa, Ukraine
Published: October 2019

Innovative activity has always been a sphere of economic activity with a difficultly predicted ratio of costs to the resulting economic effect. The size of the costs of implementing innovative activities is often determined by many factors and the effective management of these costs determines the economic success of the organization. The volume of expendable resources is one of the most important indicators of the effectiveness of any enterprise, and the expenditure of money on innovative activities is also the basis of economic security of any organization. The effectiveness of cost management is determined by how little resources have been used up and how much effect has been achieved. Uncontrolled spending of resources, and senseless spending on the modernization of the entire range of products can lead to the collapse of even the most successful innovative enterprise. The economic security of any organization associated with innovation is primarily dependent on the effective management of the costs of implementing this innovation.
Evaluation of Biocontrol Efficacy of Herbal and Bioformulations against Root Rot Pathogen Fusarium Solani in Tomato
Authors:   Assistant Professor, Department of Biotechnology, Karunya Institute of Technology and Sciences, Karunya nagar, Coimbatore- 641 114, Tamil Nadu, India, R.S David Paul Raj , Kanimozhi R Beena ,   Research Scholar and Student, Department of Biotechnology, Karunya Institute of Technology and Sciences, Karunya nagar, Coimbatore - 641 114, Tamil Nadu, India, Gomez Levin Anbu ,   Assistant Professor, Department of Biotechnology, Karunya Institute of Technology and Sciences, Karunya nagar, Coimbatore- 641 114, Tamil Nadu, India, S Rohini ,   Research Scholar and Student, Department of Biotechnology, Karunya Institute of Technology and Sciences, Karunya nagar, Coimbatore - 641 114, Tamil Nadu, India
Published: October 2019

Background/Objectives: Fusarium solani cause various plant diseases that usually weaken or destroy plant tissues and reduce crop yields varying from 30-40% and root diseases are estimated to cause 10-15% yield losses annually in the world Soil borne pathogen Fusarium solani which causes root rot at the seedling stage itself leading to wide loss of the crop. Solanum lycopersicum (tomato) is one of the most versatile vegetable with wide usage in Indian culinary tradition. Since the use of chemical fungicides cause environmental pollution and adverse effect on human health, there is need to shift to biological control. Methods: Bacterial isolates were obtained from forest nursery soil samples and screened against F. solani. Of which one isolate showed promising efficacy against the pathogen. Preparation of oil based liquid bioformulation using glycerol, coconut oil and culture filtrate of biocontrol agent and herbal formulation using neem, garlic, ginger and clove blended together with water in the ratio 1:2 showed inhibitory effect on F.solani. Findings: Biocontrol agent was identified by 16S rDNA sequencing as Bacillus velezensis FZB42. Tomato seeds were coated with Gum Arabic as adhesive along with liquid bioformulation and herbal formulation showed great inhibitory effect against the F. solani in invitro conditions, increased the germination percentage of seeds and also the germination was faster when compared with the control. Applications: Technology transfer of application of this formulation to the farmers will be initiated which will help them to raise the seedlings in an ecofriendly method.
An Improved Secret Sharing Scheme for Biometric Authentication using Finite Field
Authors:   Assistant Professor, Department of CSE, Srinivasa Ramanujan Centre, SASTRA Deemed to be University, Kumbakonam, Tamilnadu, India., Kumar* N. Rajesh , Krishnan R. Bala ,   Assistant Professor, Department of CSE, Srinivasa Ramanujan Centre, SASTRA Deemed to be University, Kumbakonam, Tamilnadu, India., Raajan N.R. ,   Senior Assistant Professor, Schoolof Electrical & Electronics Engineering, SASTRA Deemed to be University, Thanjavur, Tamilnadu, India.
Published: October 2019

Traditional biometric schemes used master copy minutiaefor authentication. The enrollment and verification process carried out through the same master copy minutiae. However, the protection of biometric template is more crucial as the number of minutiae compromise will be occurred. In this paper, an improved secret sharing scheme for biometric authentication using finite field is proposed. The master copy of biometric template is transformed into finite field for masking minutiae information. The concept of secret sharing is employed to split the template into multiple copies and maintained between smart card and public consortium. This approach allows perfect biometric authentication for operating smart cards with high-level security.
Detection and Classification of Early Stage Lesions in Diabetic Retinopathy using Color Fundus Images
Authors:   Department of ECE ,School of EEE, SRC, SASTRA Deemed University, Kumbakonam, Tamilnadu, India., Sudha* S. , Srinivasan A. ,   Department of ECE ,School of EEE, SRC, SASTRA Deemed University, Kumbakonam, Tamilnadu, India., Devi T.Gayathri ,   Department of ECE ,School of EEE, SRC, SASTRA Deemed University, Kumbakonam, Tamilnadu, India.
Published: October 2019

Detection of lesions and classification of Diabetic Retinopathy (DR) play an important role in day-to-day life. In this proposed system, colour fundus image is pre-processed using morphological operations to recover from noises and it is converted into HSV colorspace. Fuzzy C-Means Clustering algorithm (FCMC) is used for segmenting the early stage lesions such as Microaneurysms (Ma), Haemorrhages (HE) and Exudates. Hybrid features such as colour correlogram and speeded up robust features (surf) are extracted to train the classifier. Cascaded Rotation Forest (CRF) classifier is used for classification of diabetic retinopathy. The proposed system increases the accuracy of detection and it has got high sensitivity.
Elliptic Curve Blended Cross Chaos Based Secure Image Communication
Authors:   Department of Computer Science and Engineering, Srinivasa Ramanujan Centre, SASTRA Deemed University, Kumbakonam ,Tamilnadu,India., Rajendran* Sujarani , Abilashaa S. ,   Department of Computer Science and Engineering, Srinivasa Ramanujan Centre, SASTRA Deemed University, Kumbakonam. Tamilnadu,India., Doraipandian Manivannan ,   School of Computing, SASTRA Deemed University, Thanjavur , Tamilnadu, India.
Published: October 2019

Image encryption has proven a successful method to communicate the confidential information. Some of the images may or may not be confidential. So there is a need to secure the confidential images. Initially, symmetric encryption is used for security purpose. But it has the problem that if the key is revealed the interceptors can immediately decode it. To make the key transformation more secure, asymmetric encryption is introduced. In this two different keys are used for encoding and decoding. So even the interceptors hacked the key it cannot be possible to decode. In this project Elliptic Curve Cryptography (ECC) is utilized for generating the keys and the cross chaotic map used for generating the chaotic sequence. These chaotic sequences are utilized to encode the image for secure communication.
Association Rule Mining for South West Monsoon Rainfall Prediction and Estimation over Mumbai Station
Authors:   Department of Computer Science, Srinivasa Ramanujan Centre, SASTRA, Kumbakonam, Tamil Nadu, India., Varahasamy* R. , Meganathan S. ,   Department of Computer Science, Srinivasa Ramanujan Centre, SASTRA, Kumbakonam, Tamil Nadu, India., Karthik Durga ,   Department of Computer Science, Srinivasa Ramanujan Centre, SASTRA, Kumbakonam, Tamil Nadu, India.
Published: October 2019

Rainfall is important for agricultural yield and hence early prediction is required. It has a vital role in the improving the economy of a country. Accurate and timely weather prediction for rainfall forecasting has been one of the most challenging problems around the world as it changes the physical characteristics of the hydrologic system. Rainfall prediction model involves observation of weather data, deriving knowledge from it and implementing using computer models. The proposed work observed rainfall during south-west monsoon months of Mumbai (Latitude 19.0760°N / Longitude 72.8777°E) city. Predictive Apriori Algorithm was used to derive association rules for spot prediction, 24 hours ahead prediction and 48 hours ahead prediction, also to estimate a no rain day, moderate rain day and heavy rain day.
Convolutional Neural Network Based Medical Image Classifier
Authors:   Deparment of Computer Science & Engineering, Srinivasa Ramanujan Centre, SASTRA Deemed University, Kumbakonam, Tamil Nadu, India., Sundararajan* Ranjeeth Kumar , S Sivagurunathan ,   Deparment of Computer Science & Engineering, Srinivasa Ramanujan Centre, SASTRA Deemed University, Kumbakonam, Tamil Nadu, India., S Venkatesh ,   Deparment of Mathematics, Srinivasa Ramanujan Centre, SASTRA Deemed University, Kumbakonam, Tamil Nadu, India., Pandian M Jeya ,   Deparment of Computer Science & Engineering, Srinivasa Ramanujan Centre, SASTRA Deemed University, Kumbakonam, Tamil Nadu, India.
Published: October 2019

Deep learning had provided good outcome in analyzing images of tumours, however, the deficiency of large annotated datasets reduces its importance. The proposed medical image processing system is based on image segmentation and image classification. It is to be used by medical field experts. In order to classify the Brain tumour images the semantic level classification and segmentation network techniques are applied. This includes prior knowledge of testing samples and training samples, using Convolutional Neural Networks (CNN). The CNN based classifier improves the detection accuracy compared to the existing segmentation based classifier. In this project, the automated system would help the medical image analyst to identify the Brain Tumour in patient by making use of deep convolutional neural network (CNN).The image is obtained from MRI scan of a brain. The tumourless patient’s image dataset is used as the training and testing data for the classification network. Patient image is compared with dataset of a tumour affected images for differentiating an image as Non-timorous sample, low grade glioma and glioblastoma after segmenting and classifying the image. The Watershed segmentation algorithm is used for segmenting images and CNN is used for classifying the images. Finally the system will detect the tumour is affected or not in the given image of a patient’s brain, then the system will identify the tumour affected region and differentiate the low grade glioma and glioblastoma in the image.
De-Centralized Hash URI Procedure for Making Digital Artifacts as Immutable, Reliable, Verifiable on Web
Authors:   Research Scholar, Acharya Nagarjuna University, Guntur, AP, India, Shaik* Naseema , Reddy Dr. E. Sreenivasa ,   Dean, Faculty of Engineering, Acharya Nagarjuna University, Guntur, AP, India
Published: October 2019

Main vision behind semantic web data maintenance is to make the text or content of web is interpretable, among different things, and sophisticated search procedures over huge amount linked web data. In this case different human beings perform fraudulent text which can be found on internet web. So that main research concentrated on automated approaches autonomously identified and analyzed content present in web. Making digital artifacts on web in terms of text, code and others verifiable and reliable, because of general nature of digital artifacts i.e immutability, it is a serious concept to produce reproduces the updated results of processes that display modified content in web resources. So that in this paper, we propose De-centralized Hash URI approach (DHURI) to solve the immutable concept of digital artifact generation in nano-publication with unique hash based cryptography value. In this approach, we provide Decentralized secure URI for identification of digital artifacts with parallel structure representation of data such as nano-publication. Basic concept of this approach is to handle digital artifact immutable concept with evaluation of existing approaches, and also describe the performance of proposed approach in de-centralized framework.
History of Medicine in the Epoch of Amir Temur and His Dynasty
Authors:   Tashkent institute of irrigation and agricultural mechanization engineers, Uzbekistan, Mamajonovna* Dr. Prof. Shohistahon Uljaeva , Zafarjon qizi Khatamova Rano ,   Tashkent institute of irrigation and agricultural mechanization engineers, Uzbekistan., Tulkunovna Zakirova Dilfuza ,   Tashkent institute of irrigation and agricultural mechanization engineers, Uzbekistan., Ablakulovna Elmuratova Shokhista ,   Tashkent institute of irrigation and agricultural mechanization engineers, Uzbekistan.
Published: October 2019

The article reveals the state of medicine and medical science during the Temurids period. Many scientists of that time arrived in the empire from different sides of the East. Samarkand, Herat, Shiraz and other large cities were centers of medical science. Famous doctors of that time treated and taught in the palace and hospitals: Mir Sayyid Jurjoniy, Mavlono Fazlulloh Tabrizi, Mavlono Izaddin Masud Sherozy, Shamsiddin Odam and Nizomiddin Sherozy and other doctors of that time served in the state of Temurids. At this time, baths played an important role. There were about 10 known bath-houses in Samarkand in the period of Temurides: bath-house near Mukhammad Sultan madrasah, Abu Laysa bath-house, Murzo Ulugbek bath-house in Registan and others. In addition, some sanatoriums were built to restore the body in mountainous and ecologically clean places
Smart Grid on Issues and Challenges
Authors:   Associate Professor, Department of EEE, Geethanjali Institute of Science and Technology, Nellore, Andhra Pradesh, India., Kumar* Dr.P.Vinoth , Ravindra Mr.K.Venkata ,   Assistant Professor, Department of EEE, Geethanjali Institute of Science and Technology, Nellore, Andhra Pradesh, India., Kumar Dr.T.N.V.L.N ,   Professor, Department of EEE, Geethanjali Institute of Science and Technology, Nellore, Andhra Pradesh, India.
Published: October 2019

Smart grids ensure the energy conservation and cost effective energy management that encourage the clean energy environment. . The transformation of power grid involves implementation of contemporary measuring equipment’s and communication technologies for effective energy data transfer and management. The smart grids do have their benefits but they also come with bottlenecks pertaining to the areas of SM (Smart Meters), information and communication technology (ICT) and in unification of RES (Renewable Energy Source). This paper provides a survey of challenges related to these bottlenecks. It also throws light on the advancement in communication technology which is helpful to induce reliability and efficacy in the smart grids (SG). A complete overview of the same including its limitations in the current scenario is also provided. The survey on the advanced communication technologies, security on the utility and consumers smart grid devices, turns the smart grid as the better solution for the future energy demand.
Labour Welfare Measures in Neyveli Lignite Corporation India Limited Neyveli, Cuddalore District
Authors:   Associate Professor and Research Supervisor, Department of Commerce, Annamalai University, Annamalainagar , Cuddalore district, Tamilnadu, India., Rajarajan* Dr. M. , Ranjitha R. ,   M.Phil Research Scholar, Department of Commerce, Annamalai University, Annamalainaga, Cuddalore district, Tamilnadu, India.
Published: October 2019

Health, safety and welfare are the measures for increasing the ability of Labours. Those measures provided to labour will cause immediate impact on health, physical and mental ability that result in higher productivity. The facilities like medical, township administration, education and vocational training are the determining factors of welfare measures provided to labours. This article brings forth labour welfare measures at Neyveli lignite corporation India limited Neyveli, Cuddalore district.
Oniomania Similarity Search with Recommended System
Authors:   Assistant professor, CSE department, Sri Sairam Engineering College, Chennai, Tamilnadu, India., Priyaa* K.Karpaga , Saranya C. ,   Assistant professor, CSE department, Sri Sairam Engineering College, Chennai, Tamilnadu, India., Yogaalakshmi PA. ,   Student, Engineering Degree in CSE, Sri Sairam Engineering College, Chennai, Tamilnadu, India., Haripriya M. ,   Student, Engineering Degree in CSE, Sri Sairam Engineering College, Chennai, Tamilnadu, India.
Published: October 2019

Users shopping online prefer to quickly access products that they are in need of among a list of similar products. The similarity metrics in use, only contemplates on the product attributes which doesn’t always meet the user expectations. The current system relies on solving this by performing Θ-similarity and r-nearest neighbor, where product similarity is considered only if it satisfies a user-preference list, by hitting the reverse top-k queries results. However, the products expressed here are generally based on the user’s preference, which can break the user independence of the product. To conquer these drawbacks, we use a more advanced system which represents feature based products such as Usercentric Model, where we have two phases. At first, we gather opinion based data about the feature, and subsequently these feature similarities are ranked. The ranking is predicted by collaborative filtering recommendation algorithm. Next, the rank generated from the above algorithm will be compared with existing data to get the top-k best product by performing No-Random Access algorithm (NRA) in second phase. Through this users are granted the top.
Ontology Reasoning Towards Sentimental Product Recommendations Explanations
Authors:   Research Scholar ,K L (Deemed to be University), Andhra Pradesh State,India and Assistant Professor,Neil Gogte Institute of Technology, Hyderabad, Telangana, India., Kamma* Vidya , Dandibhotla Teja Santosh ,   Associate Professor,Sreenidhi Institute of Science and Technology Yamnampet, Ghatkesar, Telangana , India., Gutta Sridevi ,   Professor,K L (Deemed to be University), Andhra Pradesh , India
Published: October 2019

In the last two decades various organizations like service industries, study communities, academic world and public industries are working intensely on sentiment analysis, to extract and analyze public views. The reviews given on the social websites, commercial websites, etc. enable customer to share their point of view. Explainable Recommendation algorithms help the user by providing explainable recommendations, which improves user satisfaction. Recently, many researchers proposed explainable recommendations. In this survey Firstly, various opinion-mining approaches are explored. Secondly, we reviewed sentiment-based and ontology based recommendation systems. Finally, prospects for the research in opinion mining is discussed.
Wearable Wireless Sensor System with RF Remote Activation for Industrial Applications
Authors:   ECE, Global institute of Engineering & Technology, Moinabad, Hyderabad, Telangana, India., Zeeshan* G Ahmed , Sundaraguru Dr. R ,   ECE, Sir M Visvesvaraya Institute of Technology, Bengaluru, Karnataka State, India, Naaz Fahmeeda ,   ECE, Global institute of Engineering & Technnology, Moinabad, Hyderabad, Telangana, India.
Published: October 2019

These days , Sensors are playing very important role in the world with combination of Wireless Technology.Wireless Sensor System makes the human life simpler and smarter . This emerging Technology helps in Industrial Applications .Safety and Security standards to employee position observation and industrial premises monitoring is also important towards safety Industrials. In this paper we are introducing advanced sensor system called Wearable Wireless Sensor System . It is the combination of Wireless Sensors and Wearable Technology for significant safety enhancement in Industrials. We built up a wearable wireless sensor framework which is appended in a consistent wearable format & utilized to work environment observation. Wireless Sensors are temperature, smoke sensor and LPG Gas sensor. The fundamental element of designed framework is likelihood could be actuated wirelessly through a RF module with radio signal at a frequency of 850MHz to 865MHz .It performs different wearable sensing module framework, for example, changing the framework from rest, estimation, and information transmission modes when outside RF sign is accessible. The exploratory information exhibit that the actuation separation distance is 2.8 m to a RF module with an intensity of 28 dBm. Advanced Wearable System framework can signalize about worker nearness in connection to offices. If any alert through high temperature, smoke or gas leakage RF wireless module alert us through buzzer and we control the same thing through Wireless Technology. All info and out modules are interfaced to ARDUINO Microcontroller with procedure input information and furnish yield with assistance of 5V controlled power supply. In this task we utilized Arduino ide programming to compose c program and accumulating.
Overall Development in the Application of Ultracapacitor and Controller in Electric Vehicle
Authors:   Ph.D. Scholar, Department of Electrical Engineering G. H. Raisoni College of Engineering Nagpur, India., Kakde* Akshay A , Tarnekar Shrikrishna G. ,   Retired Professor, Department of Electrical Engineering G.H.Raisnoi College of Engineering Nagpur, India
Published: October 2019

This paper deals with stepwise development in hybrid electric vehicle based on battery source and ultracapacitor. The focus is on the utilization of ultracapacitor and sustainable development in a hybrid vehicle application. Various control strategies to improve utilization of ultracapacitor has been studied and represented here.
Peculiarities of Trading Strategies: Its Implementation and Offers for Improvement of Effectiveness
Authors:   Associate Professor, Zhytomyr Polytechnic State University, Ukraine, Yushkevych* Olena , Gupta Sandeep Kumar ,   Professor; Sharda University, Greater Noida, India, Zaburanna Lesia ,   Professor; National University of Life and Environment Science of Ukraine, Ostapchuk Anatoliy D. ,   Associate Professor; National University of Life and Environment Sciences of Ukraine, N.P Reznik ,   Professor; National University of Life and Environment Science of Ukraine
Published: October 2019

There are many trading strategies in the modern economy. When a company needs to use some strategy, it is not simple to choose the right direction. This paper helps to understand the most effective strategies in the market for traders and companies, its advantages and disadvantages, prepares to be ready for different consequences of existing strategies, to define the most appropriate strategy for the specific company and offers the ways to improve its effectiveness.
Erosion-corrosion Behavior of Aluminum 7075 based SiC Reinforced Nanocomposites
Authors:   Department of Mechanical Engineering, Islamia Institute of Technology, Bangalore, INDIA, S* Adil Ahmed. , Murthy P.L.Srinivasa ,   Department of Mechanical Engineering, Ramaiah Institute of Technology, Bangalore, INDIA
Published: October 2019

In present study corrosion studies were conducted on Al7075/SiC nanocomposites processed by powder metallurgy and stir casting techniques. The weight percentage of SiC nanoparticles was varied from 1% to 4% for preparing the nanocomposites. The erosion-corrosion studies were conducted by means of slurry pot experiment under simulated marine environment of 3.5% NaCl. The weight losses of Al7075 alloy and its nanocomposites under various experimental conditions. The studies have been performed at the specimens through using distinct sand concentrations (10-40%) varying rotational/slurry speed (500-1500rpm) and ranging impinging particle (100-600microns) respectively. Powder metallurgy processed nanocomposites showed higher weight loss when compared to those processed using cast route. Worn-out surface analysis using scanning electron microscopy revealed ploughing, abrasion and fracture as the main erosion mechanisms for all materials processed using both the processing techniques.
Secure and Efficient Location-Aided Routing Against DDOS Attack in Manet
Authors:   Assistant Professor, AMET Deemed to be University,  Chennai, Tamilnadu, India, Shanthi* H.J , Mary Anita E.A ,   Professor, S.A.Engineering College, Chennai,  Tamilnadu, India.
Published: October 2019

A wireless LAN is one in which a mobile user can connect to a local area network (LAN) through a wireless (radio) connection. There are many routing protocols used in wireless networks for transmission of message, among which, Location-Aided Routing (LAR) protocol is used to find the location of destination. This may be possible using Global Positioning System (GPS) in mobile. We concentrate on other malicious attacks that would have caused tremendous loss by impairing the functionalities of the computer networks. Denial of Service (DoS) and Distributed DoS (DDoS) attacks are two of the most harmful threats to the MANET functionality. From this point of view, LAR provides a solution against DoS and DDoS attacks. LAR does not have any security mechanism, so we propose a SE_LAR technique which includes traffic analysis methods and extended OEDA method. It is helpful to analyze the traffic, to detect an overwhelming traffic, legitimate nodes, congestion on network, and snooping attacks. Mobile Ad Hoc Network (MANET) is even more vulnerable to such attacks. So, in this paper, we propose Secure Location-Aided Routing (SE_LAR). Its results are compared with existing secure routing protocols like ISE_DREAM, SE_DREAM protocols. Using the existing SE_DREAM routing protocol malicious nodes are detected by traffic analysis process which is to monitor flooding impact on MANET. The OEDA method discriminates the attacker nodes from reputable nodes by evaluating the addresses in the response signal. But, it cannot be used for dense network, and cannot detect indirect Sybil attack. So, we introduce extended OEDA method with two schemes such as by refering cache memory of neighbor node scheme, and passive Sybil node identity detection, which is incorporated with SE_LAR routing protocol. OEDA method is currently incorporated with the SE_DREAM protocol, generally better known as ISE_DREAM, to produce the route to destination substantially more robust against DDOS attack. Finally we decide using the performance parameters to find out the best alternative among the three different routing protocols. Calculation of the performance of the computation compares SE_DREAM, ISE-DREAM and SE-LAR standards, the overall performance measurements by the NS2 simulator and using the parameters. To determine the effect of network size on the total performance of these protocols, we have three different phenomena.
The Potential of Heavy Metal Incorporation into Clay Precursors
Authors:   Department of Science and  Mathematics, Centre of Diploma Studies, University of Tun Hussein Onn,  Malaysia, Binti Mohd Aripen Nur Shahirah , Binti Abdul Kadir Aeslina ,   Department of Water and Environmental  Engineering, Faculty of Civil and Environmental Engineering, University  of Tun Hussein Onn, Malaysia., Binti Hashim Azini Amiza ,   Department of Water and Environmental  Engineering, Faculty of Civil and Environmental Engineering, University  of Tun Hussein Onn, Malaysia. (Email: aziniamizaa@gmail.com)
Published: October 2019

High amount of heavy metal waste produced from the industrial activities has become an important global issue for several decades due to its hazardous effect on the human and environment. Since heavy metal is highly toxic and cannot be eliminated easily, the application to reuse the heavy metal waste without harming the environment must be investigated thoroughly. This paper reviews the incorporation of heavy metal into clay precursors as a good potential for the reduction of environmental pollution. The results from the previous studies show the transformation of heavy metal such as copper, zinc, lead and cadmium into less hazardous species when incorporating into clay precursors. These transformations have reduced the mobility of heavy metal as a crystalline structure is formed after the thermal treatment. It is found that the immobilization process successfully stabilizing heavy metal and increases the metal’s resistance against the acidic attack through the formation of low permeable structure in the clay precursors. Hence, the incorporation of heavy metal into clay precursors is proven to be a great prospect in reducing environmental pollution.
Graceful and Magic Labeling in Special Fuzzy Graphs
Authors:   Department of Mathematics, SRM Institute of Science  and Technology, Ramapuram, Chennai-89, India., Sujatha* N. , Dharuman C. ,   Department of Mathematics, SRM Institute of Science  and Technology, Ramapuram, Chennai-89, India., Thirusangu K. ,   Department of Mathematics, S.I.V.E.T College,  Gowrivakkam, Chennai-73, India.
Published: October 2019

In this paper, we present an algorithm to find fuzzy labeling of a star graph K1,n , bi star graph Bn,n and double star graph K1,n,n . We prove that star graph K1,n at most 89 edges are fuzzy graceful iff it admits fuzzy magic graph. Also we prove that bi star graph Bn,n having at most 59 edges are fuzzy graceful iff it is a fuzzy bi magic graph .We prove that fuzzy labeled double star graph K1,n,n at most 30 edges is fuzzy graceful. Keywords: Fuzzy Labeling, Fuzzy Graceful Labeling, Fuzzy Magic Labeling, Fuzzy Bi magic Labeling.
Impact of Training on Employee Productivity
Authors:   Research Scholar, Department of Management Studies, Bharath Institute of Higher Education and Research, Chennai, R* Bharthvajan , Kavitha S. Fabiyola ,   SRM Arts and Science College, Trichy, Associate Professor, Department of Management Studies, Chennai
Published: October 2019

The word training relates to the development of knowledge, abilities and skills resulting fro the learning of abilities and knowledge related to particular helpful abilities2. Training has its own characteristics and it’s used to increase the productivity both in terms of quality and quantity. The article examines the effect of training on the productivity of employees. This manuscript provides an examination of the present proof of such a connection and provides suggestions for further inquiry. A comprehensive review of the literature in terms of study results from studies that attempted to assess and determine the level of the productivity of employees. In this manuscript explain the impact and effectiveness of training in dairy industry and findings would clearly explain the impact level of a training programs3.
Smart Way to Inspect Student Performance using Emotional State on Learning Analytics
Authors:   Assistant Professor, Department of Computer science and Engineering, SRMIST, Kattankulathur, India, R* Vidhya. , Vadivu G. ,   Professor, Department of Information Technology, SRMIST, Kattankulathur, India.
Published: October 2019

The paper describes the research of the students pursuing higher technical education calculating their skills, behavior, emotion, learning style and methods of the students using learning inspect in smart way. The learning inspect is the smart and innovative way of detecting the student aspects. In this we consider a group of students who taking the online test and record the students interaction with each part of the test by providing the option to each and every questions. The recorded data is stored in the data base. After the completion of the analytical test the outcome data of the individual student is calculated. The calculated data may provide the students learning ability and how they tackle the exam and how they prepare themselves in the exam. It also shows that the handling of pressure during the time of exam. The exception outcome is being correlated with the various parameters to detect the student survival and the performance in their academics. This method is being expected and made to turn all of their intention towards it.