bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors Influencing on Coal Price and Development of a Pricing Model for Indian Coal
Authors:   Department of mining, AMET University, Chennai, India., brahmam* A. Guru
Published: February 2020

Coal plays a crucial role in India as it fulfills almost 67% of the total commercial energy consumed in Indian industries. Fossil fuels are the major drivers of the country's economy. The coal price is affected by many parameters including its grade, demand at the national level and international coal price. We observed in the year 2017-18, the total production of coal in India was 675 MT but the actual demand for coal in India was 884 Million Tonnes (MT), with the actual supply falling short resulting in a demand deficit. This deficit was offset by import 202 MT of coal. Over 22.8% of coal imports in 2017-18 were sourced from Indonesia followed by import from Australia and South Africa. The study identifies some major factors that may have an influenced on Indian coal price, including coal export, coal import and international coal prices by analysing and processing of Indian coal data which is from 1993to2018 with the help of SPSS software by the regression analysis. The logarithmic coal price is the dependent variable and the hypothesized independent variables are relative value of demand and supply, export, import, stock, international coal price, international oil prices. According to the result, the factors like a relative value of demand and supply, coal production, international oil price are no significant influencing on Indian coal prices and the significant variables are helpful to developing coal pricing mode for Indian coal. The coal pricing model has useful to estimate the future price of Indian coal and also to identify the impact of import coal quantity on Indian coal prices.
Development of Radiator Fan using Composite Material for Automotive Application
Authors:   Mechanical Engineering Department, Textile & Engineering Institute, Ichalkaranji, India, Naik* Dr. Vinayak Ramchandra
Published: February 2020

In order to address failure issues related to fan blades, use of alternative materials is becoming popular. This not only saves natures resource of metal but also offers better performance with reduction in weight. In the present work, alternative radiator fan is developed to substitute metallic original one for light public transport vehicle. The paper deals with the methodology of development and also the experimentation carried out in this regard.
Synthesis and Luminescence Properties of La2O2S:RE3+ (RE3+ = Ce3+, Dy3+, Eu3+ and Tb3+) Submicron Size Phosphors for Lamp Industry
Authors:   Department of Electronics, Bajaj College of Science, Wardha, India, Shinde V. V. , Dhoble* S. J. ,   Department of Physics, RTM Nagpur University, Nagpur- 440033, India
Published: February 2020

RE3+(RE3+ = Ce3+, Dy3+, Eu3+ and Tb3+) doped La2O2S phosphors was synthesized by solid state flux fusion method and their down conversion spectral properties were studied as a function different RE3+ concentrations and reported in this paper. The solid state flux fusion results in well crystallized hexagonal shaped phosphor particles. The samples were characterized by XRD, SEM, FT-IR photoluminescence (PL) and CIE colour co-ordinates techniques. The lanthanum oxysulphide (La2O2S) phosphor doped with Ce3+ shows broad band emission with peak at 390 nm and 415 nm when excited at 340 nm excitation. La2O2S:Dy3+ shows efficient blue and yellow band emissions at 480 nm and 572 nm. La2O2S:Eu3+ phosphor shows an orange and red emission at 590 nm and 615 nm. Whereas La2O2S:Tb3+ phosphor shows weak blue emission at 488 nm and strong green 545 nm. The excitation spectra used for the La2O2S:RE3+ (where RE3+ = Ce3+, Dy3+, Eu3+ and Tb3+) phosphors is in the near UV region extending from 350 to 400 nm, which is characteristics of near UV excited LED. The effect of the RE3+ (RE3+= Ce3+, Dy3+, Eu3+ and Tb3+) concentration on the luminescence properties of La2O2S:RE3+ phosphors were also studied. The investigated prepared La2O2S phosphors may be suitable for a near UV excited W-LED. Keywords: Oxysulphide, SEM, FT-IR, PL, SSL, CIE.
Reduction of Frequent Itemsets Mining in Big Data with the Help of FP Algorithm and Msegt-Tree
Authors:   Assistant Professor, Department of CSE, Lakireddy Bali Reddy College of Engineering, Mylavaram, Divvela* Srinivasa Rao , Sucharita Dr V ,   Professor, Department of CSE, Narayana Engineering College Gudur, India
Published: February 2020

Frequent itemset mining is very crucial to minimize the cost and time of executions but when considering multiple distributed data streams in big data the frequent itemset mining has been a little cost consuming and taking more space and time complexity. In this paper we reduce the load and minimize the cost while minimizing the space and time complexities of the process by using reduction mechanism and indexing structures for preserving complexities. A 2-level architecture modal which will be helpful in handling the distributed data streams where the root node will be in level-0 and local nodes at level-1 is proposed. Each local node will evaluate the patterns in their specific data stream using the algorithm ‘FP’ which will help in lessening the burden on the root node and will be sent to root. With help of the patterns received from local nodes the root will generate a global pattern set.
Two Slider Mobile Controlled Robot using Node MCU
Authors:   Presently studying BTech (2nd year), Electronics and Communication Engineering (Spec in IOT & Sensors) in Vellore Institute of Technology, Vellore, Ramisetty* Sai Vignesh , Akkineni Pavan ,   Presently studying BTech (2nd year), Electronics and Communication Engineering (Spec in IOT & Sensors) in Vellore Institute of Technology, Vellore., Balusu Sujith Krishna ,   Presently studying BTech (2nd year), Electronics and Communication Engineering (Spec in IOT & Sensors) in Vellore Institute of Technology, Vellore., A Bagubali ,   Assistant Professor Electronics And Communication Engineering VIT, Vellore.
Published: February 2020

Arduino is planned as an open-source hardware prototyping stage giving schematics and adaptable advancement units for energetic clients who mean to create intelligent articles or conditions. Arduino can be utilized to detect Surroundings by using different transducers to peruse and decipher contributions to request to make reactions for instance through the controlling of engines or moving of information.[3] In this day and age there is a critical advancement in the field of mechanical control.[1] Versatile mechanical vehicles are light, little and convenient enough to be conveyed by a person. Our plan fills in as an answer for exhibit how the control of the dc equipped engines in coordination of the sign acquired from Wi-Fi module related of Arduino is utilized to accomplish high level of exact way control from the controller to accomplish standard activities like moving at a specific objective area, gathering information and maintaining a strategic distance from any obstacle to forestall impact .In existing writing Numerous works have been done on the usage and examination of the mechanical autonomy for different perspectives like calamity the board, working in atomic zones, photography and military application.[2][4][5]
Advancements in Cyber Attacks and Security
Authors:   School of Computer Sciences and Engineering, Vellore Institute of Technology, Bhopal, India, Kalra* Yatin , Upadhyay Saket ,   School of Computer Sciences and Engineering, Vellore Institute of Technology, Bhopal, India., Patheja Dr. Pushpinder Singh ,   School of Computer Sciences and Engineering, Vellore Institute of Technology, Bhopal, India.
Published: February 2020

Succeeding the entrustment of the personal computer by Ed Roberts in 1975, the absolute first virus became known to exist in a trifling time span of six years. The adversary was called Elk Cloner. Not long before they established themselves as adverse. Forthwith, attacks become frequent by the clock at all levels possible. It is a direct indication to how important cyber security is considering the prolonging effect and enormous expansion caused by such events in recent years. Another major issue is the huge scale arrangement of gadgets with almost no security or a wide default security design susceptible to cyber-attack. Cyber security is swiftly transforming into an article of everyday usage. As attacks are becoming sophisticated, we expect gadgets like advanced mobile phones, PCs and significantly progressively computerized frameworks to be secure and the protection of the data to be fundamental. Our paper explores the variety of Cyber Attacks, their methodologies and core ideas with the motivations behind it, also the ways to circumvent the threats by putting lights on the ongoing and future technologies to tackle advanced threats.
Compatibility of Imbalanced Classification Perspectives and Process of RF Algorithm
Authors:   Professor & HOD, Department of Computer Science and Engineering, St. Ann’s College of Engineering & Technology, Chirala (Andhra Pradesh) India., Harini* Dr. P.
Published: February 2020

Several ML models were qualified to utilize a combo of good (training class: "regular") as well as human-made (lesson: "suspicious") metadata for approximately 5 million log files. The metadata for "typical" files was removed from the schema of genuine historical log documents that carry out not consist of "sensitive" or even "restricted" information. The metadata for very likely "questionable" documents was substitute via artificially infusing building offenses that are certainly not observed aware "regular" log files. Checking result shows that the ensemble random forest algorithm excelled svm and further classification algorithms in both functionalities as well as precision in the unbalanced information, and it works for strengthening the accuracy of item marketing matched up to the conventional simulated technique. This paper gives random forest algorithm for both classifications as well as regression.
Hevea Brasiliensis Leaf Disease Detection using MATLAB
Authors:   Faculty of Electronics and communication Engineering ,Bannari Amman Institute of Technology, Sathiyamangalam, Erode., Kanthimathi* Mrs.Dr.N. , Saranya Mrs. N. ,   M.Tech*,Faculty of Electronics and communication Engineering ,Bannari Amman Institute of Technology, Sathiyamangalam, Erode., Shyamalaprasanna Ms.A. ,   M.E*,Faculty of Electronics and communication Engineering ,Bannari Amman Institute of Technology, Sathiyamangalam, Erode., selvi A Ms. Guna ,   UG Scholar of Electronics and communication Engineering, Bannari Amman Institute of Technology, Sathiyamangalam, Erode., M Ms.Poojha ,   UG Scholar of Electronics and communication Engineering, Bannari Amman Institute of Technology, Sathiyamangalam, Erode.
Published: February 2020

Indian economy relies on Agriculture which is the back bone of India. Indian Agricultural sector accounts for 18% of India’s GDP and employment to 50% of country workforce. Both quality and quantity of agricultural products are equally important. The conventional human naked eye quality inspection is not significant for large members of leaves as it is unpredictable and inconsistent. Disease identification is the key for decreasing and preventing plant illnesses. Health monitoring and contamination identification on plant is fundamental for feasible agriculture. It is hard to display the plant infections physically because it requires huge measure of labor, expertize inside the plant ailments, and furthermore require the over the pinnacle managing time. Thus the solution overcoming these kind of constraints is image processing. The process of image processing includes acquisition of photo, pre- processing of photo, segmentation of image, function extraction and class. To overcome digital image processing technoques has been implied. This paper proposed technique for evaluation and detection of plant leaf disorder using digital image processing. This paper proposes k clustering algorithm for the detection of the diseases. The major of the leaf diseases is mainly caused in hevea brasiliensis are Birds’ eye spot, collectotrichum leaf disease and collectotrium leaf disease. This way of detection have immense potential to classify the diseased leaf among healthy leaves.
Time and Cost Overrun Analysis in PPP Based Roads and Highway Projects in India
Authors:   Assistant Professor, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, India., Verma* Ms. Shraddha , Lyall Prof. Bobby W. ,   Professor, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, India.
Published: February 2020

The economic development of any country depends upon infrastructure of roads and highways but its construction, process and maintenance of roads and highways is not as simple as it seems like as growth of roads and highway projects involves massive capital and time. Nevertheless, the government does not have the resources required for the resolution. Public private partnership (PPP) is the resolution of this problem however, roads and highway projects comprises higher degree of risk for the private players which demoralizes private parties from capitalizing in highway projects. This paper discovers the prevailing literature on risks involved in roads and highway projects and sources of time and cost overrun in roads and highway projects for the purpose of analysis of major risks which effects in time and cost overrun in PPP built roads and highway projects. This paper also defines the impact of recognized risks over and done with questioner survey.
GUI Based Text Summarizing of Social Response
Authors:   UG Scholar, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India., Kumar* B. Hemanth , Ramaparvathy Dr. L. ,   Assistant Professor, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India.
Published: February 2020

Text Summarization is one of those utilizations of Natural Language Processing (NLP) which will undoubtedly hugy affect our lives. For the most part, Text outline can comprehensively be partitioned into two classifications, Extractive Summarization and Abstractive Summarization and the execution of seq2seq model for rundown of literary information utilizing of tensor stream/keras and showed on amazon or social reaction surveys, issues and news stories. Content rundown is a subdomain of Natural Language Processing that manages removing synopses from tremendous lumps of writings. There are two fundamental sorts of methods utilized for content rundown: NLP-based procedures and profound learning based strategies. Along these lines, our point is to look at spacy, gensim and nltk synopsis system by the info prerequisites. It will see a basic NLP-based system for content rundown. Or maybe it will basically utilize Python's NLTK library for content abridging.
Design and Development of Humidity Sensor Based on Alumina and Zirconium Dioxide
Authors:   Department of Electronics and Communication Engineering, GITAM (Deemed to be University)., Chopparapu* Saiteja , Seventline J Dr.Beatrice ,   Professor, Department Electrical Electronics and Communication Enginering, GITAM (Deemed to be University)., Joy S. Sam Joseph ,   B. Tech student in the Department of Mechanical Engineering GITAM (Deemed to be University)., Reddy Sanikommu Akash ,   B. Tech student in the Department of ECE GITAM (Deemed to be University).
Published: February 2020

Humidity calculation is one of the most significant issues in different applications such as automated system, irrigation, instrumentation, climatology and GPS. The design and fabrication of Humidity sensor are mostly used for industries and laboratory applications. This work highlights the fabrication of humidity sensor based on alumina (Al2O3) used as substrate and Zirconium Dioxide (ZrO2) as active or sensing material to detect both moisture and air temperature in the environment. The objective was to fabricate a humidity sensor of compact size with better sensitivity and spatial resolution at low cost. In this project, AUTOCAD software was used for designing and was developed a miniaturized thin film sensor over a ceramic substrate and deposition of active sensing material was done through RF sputtering process. The fabricated humidity sensor has been characterized under different humidity conditions and the results showed a faster response.
Copy-Move Forgery Detection in Digital Images using Neural Network
Authors:   Gujarat Technological University, Chandkheda, Gujarat, India,, Patel* Jigna J. , Bhatt Dr.Ninad S. ,   Electronics and Communication Department, CKPCET, Surat, Gujarat, India,
Published: February 2020

Due to easy availability of image editing software applications, many of the digital images are tempered, either to hide some important facts of the image or just to enhance the image. Hence, the integrity of the image is compromised. Thus, in order to preserve the authenticity of an image, it is necessary to develop some algorithms to detect counterfeit parts of an image, if there is any. Two kinds of classic methods exist for the detection of forgery: the key- point based method in which major key points of the image is found and forged part is detected and the block based method that locates the forged part by sectioning the whole image into blocks. Unlike these two classic methods that require multiple stages, our proposed CNN solution provides better image forgery detection. Our experimental results revealed a better forgery detection performance than any other classic approaches.
Central Composite Design and Desirability of RSM for Optimization of Biodiesel Production from Mixture of Animal Waste Fat Oil and used Cooking Oil
Authors:   Research Scholar, Department of Thermal Engineering, VTU, RC, Mysuru, India., G. K.* Swapna , Math M. C. ,   Associate Professor, Department of Thermal Power Engineering, Visvesvaraya Technological University, Center for Post Graduation Studies, Mysore, India.
Published: February 2020

In this work, central composite design(CCD) and desirability approach of Response surface methodology (RSM) has been used for optimization of biodiesel yield produced from mixture of animal waste fat oil and used cooking oil (AWO) in the ratio of 1:1through alkaline transesterification process. In this work, methanol quantity, reaction time and sodium hydroxide concentration are selected as input parameters and yield selected as response. The combined effect of methanol quantity, reaction time and sodium hydroxide concentration were investigated and optimized by using RSM. The second order model is generated to predict yield as a function of methanol quantity, reaction time and sodium hydroxide concentration. A statistical model predicted the maximum yield of 96.9779% at 35ml methanol quantity (% v/v of oil), 75 min. reaction time and 0.6g (% wt./v of oil) of sodium hydroxide. Experimentally, the maximum yield of 97% was obtained at the above optimized input parameters. The variation of 0.02% was observed between experimental and predicted values. In this work, an attempt has also made to use desirability approach of RSM to optimize the input parameters to predict maximum yield. Desirability approach predicts maximum yield (97.075%) at CH3OH (35.832% vol. /vol. of oil), NaOH (0.604 % wt./vol. of oil) and reaction time (79.054min.) was found for the AWO.
Mobile Game Usability Practices in Arab Game Companies
Authors:   School of Advanced Technology, Luminus Technical University College, Amman, Jordan., Muhanna* Muhanna
Published: February 2020

The mobile game industry is expanding rapidly in the Arab world. More companies are entering the market to develop mobile games for Arabic users. As the competition is increasing among these companies, a need to develop usable Arabic mobile games has raised as well. This paper investigates the mobile game usability practices in Arab game companies. In particular, it aims at studying the perception of mobile game usability to Arab game companies along its importance and utilized methods with a focus on heuristic evaluation. The investigation is based on surveying game companies in six Arab countries. Results have shown that the majority of surveyed companies conduct usability practices at different levels of engagement. Some companies use multiple methods of usability testing in multiple stages of the lifecycle, whereas others use less method and in late stages. Moreover, it has been found that the size of the company as well as the organization (in-house or outsourced) who conducts usability testing have an impact on the perception of game usability, its importance, and the selection of methods and tools used to conduct the testing. In addition, results have shown that heuristic evaluation is not a common practice among Arab game companies.
Detection of Tumors in Ultra Sound Thyroid Images using Random Forest Classification Method
Authors:   Assistant Professor, Department of ECE, PKIET, Karaikal, India., Shankarlal* B. , Sathya Dr. P. D. ,   Assistant Professor, Department of ECE, Annamalai University, Chidambaram, India.
Published: February 2020

The thyroid gland is important for balancing the hormones in our body for our daily routine activity. This paper detects the tumor regions in ultrasound thyroid image using feature extractions based Random Forest (RF) classification approach. In this paper, Curvelet transform is used to transform the pixels associated with spatial into the pixels associated with frequency. In this paper, Random Forest (RF) classification algorithm is used for the classification of the computed features from the thyroid image.
Effect of Low Volume Concentration on Heat Transfer Enhancement of EG-Water Based Fe3O4 Nanofluid
Authors:   Department of Mechanical Engineering, JNTUH College of Engineering, Hyderabad, India, Kanthimathi* T. , Bhramara Dr. P. ,   Department of Mechanical Engineering, JNTUH College of Engineering, Hyderabad, India., Shaik Ayub ,   Department of Mechanical Engineering, JNTUH College of Engineering, Hyderabad, India.
Published: February 2020

Customization of thermophysical properties of the working fluids has tremendous potential in heat transfer enhancement. In the present paper, experimentation is conducted to determine the heat transfer coefficient and friction factor of 20:80 Ethylene Glycol-Water(20:80 EG-Water) based Fe3O4 nanofluid in a Double Pipe Heat Exchanger with U Bend (DPHE). Experiments are performed in the turbulent flow regime at an operating temperature of 47.5°C. Fe3O4 nanoparticles of size less than 50 nm are mixed with 20:80 EG-Water solution in the volume concentration range of 0.02% to 0.08%. Results indicate that as the concentration of nanoparticles increase, the heat transfer coefficient of the nanofluid increases up to 0.04% concentration and then decreases, while the friction factor is observed to increase with the increase of volume concentration. Within the Reynolds number range considered in the analysis, the average enhancement in the heat transfer coefficient is 24.1% at 0.04% concentration compared to that of the base fluid. The average enhancement in the friction factor is observed to be 25.58% at 0.08% concentration of Fe3O4/ 20:80 EG-Water nanofluid compared to that of base fluid.
Smart Operating Control in Hybrid Cycle
Authors:   Assistant Professor, Department of electricaand electronic Engingeering, Kuppam engineering college. A.P., India., Kavitha* N. , Bela Archana ,   Assistant Professor, Department of electrical and Eletronic Enginering, Kuppam engineering college, A.P., India., Somasekharreddy M. ,   Assistant Professor, Department of electrical and Eletronic Enginering, Kuppam engineering college, A.P ., India., Suresh A. ,   Assistant Professor, Department of electrical and Eletronic Enginering, Kuppam engineering college, A.P., India., Kiran S. ,   Assistant Professor, Department of electrical and Eletronic Enginering, Kuppam engineering college, A.P., India.
Published: February 2020

As we all know that transportation sector is extremely necessary, current generation all the vehicle are born-again to electrical vehicles it's the rapid climb in vehicle market conjointly hybrid vehicle conjointly came into the trade having the over one power.The hybrid vehicles work underneath each fuel power and electric power however is pricey and conjointly it's unable to attach to the tiny vehicle like bikes and bicycle, dominant of hybrid power. Therefore troublesome its unable connect for little vehicle attributable to this issue the good operative managementler designed “smart operative control in hybrid cycle".This project in the mainly designed for the medium transportation like two-wheelers, hybrid cycles, this in the main controllers the hybrid power base d on the load and distance to be traveled.
Enhanced Fault Diagnostic Technique Applied to IEEE 14-bus Smart Grid Standard
Authors:   Department of Electrical Engineering, Benha faculty of Engineering, Benha University, Benha, Egypt., Amer Ghada M. , Selmy* Ayman S. ,   Electrical Engineering Department, Benha faculty of engineering, Benha University, Benha, Egypt., Mohamed Wael A. ,   Electrical Engineering Department, Benha faculty of engineering, Benha University, Benha, Egypt.
Published: February 2020

Due to the gigantic power quality (PQ) demands for modern systems, power systems fault detection and diagnosis have become a significant issue. For this aim, it’s very important to detect the fault at early time and determine its location through any signal. Several methods and techniques are applied to solve this problem such as discrete wavelet transform (DWT). Although DWT has the ability of fast time detection of the fault, it has a problem to discriminate between faulty and noisy signals. DWT succeeds to extract features from altered transient disturbances, but it fails to differentiate between transient disturbances due to healthy or noisy signals. Fusion between DWT for its speed and radial basis function for its accuracy is done. The fusion technique used has a major disadvantage of its delay time as the fault can be detected after the exact location with several samples. In this paper new technique will be proposed to overcome the DWT and data fusion method problems, to achieve the classification between noisy and faulty signals with high accuracy. The proposed method is executed to classify the signals premised on weights of them, complex tree classifier uses the energy of the signal as a feature. All simulations are achieved and done on IEEE standard 14 bus system to confirm the ability and capacity of new suggested technique. Simulation results show a better performance of the proposed system in comparison with other methods, and that it capable to differentiate between faulty and noisy signals and precisely locate the fault position.
Pneumatic Transport System of a Cotton Picker
Authors:   Doctor of Technical Sciences, Professor of JV “Agrikhim” of the Republic of Uzbekistan., Doschanovich* Matchanov Rafik , Abdullaevich Rizaev Anvar ,   Doctor of Technical Sciences, Professor, Chief Researcher of the Institute of Mechanics and Seismic Stability of Structures named after M.T. Urazbaev, Academy of Sciences of the Republic of Uzbekistan., Temirovich Yuldashev Abdurakhim ,   Candidate of Technical Sciences, Senior Researcher of the Institute of Mechanics and Seismic Stability of Structures named after M.T. Urazbaev, Academy of Sciences of the Republic of Uzbekistan., Abdullajonovich Kuldoshev Davronbek ,   PhD, Senior Researcher of the Institute of Mechanics and Seismic Stability of Structures named after M.T. Urazbaev, Academy of Sciences of the Republic of Uzbekistan, Ugli Akhmedov Sherzod Anvarkhon ,   General Director, LLC “Design and Technological Center for Agricultural Engineering” of the Republic of Uzbekistan.
Published: February 2020

A design of pneumatic transport system of domestic cotton-picking machines is described in the paper; the results of experimental studies of raw cotton transport by air flow are analyzed. Calculations, based on these results, were performed to ensure the smooth operation of pneumatic transport of raw cotton with an estimate of cotton-air mixture concentration. At the same time, the main recommendations are aimed at ensuring the least damage to the cottonseeds.
Research of Static Characteristics of the Sensors of Multiphase Primary Currents to Secondary Voltages on the Basis of Cloud Computing
Authors:   Tashkent university of information technologies named after Muhammad al-Khwarizmi, Siddikov* I.Kh. , Khonturaev I.M. ,   Tashkent university of information technologies named after Muhammad al-Khwarizmi, Abdumalikov А.А. ,   Tashkent university of information technologies named after Muhammad al-Khwarizmi
Published: February 2020

In this article represent results of research of construction, algorithms, graph model, analytical expressions, and descriptions of the static parameters of sensors of multiphase primary currents to secondary voltage based on cloud computing technology are given. The bases of research of static characteristics of sensors is digital-based cloud computing technology are three services, as SaaS, PaaS and IaaS.
Development of Value Creation in Website Leson.id an Education Technology Platform (Edtech) in Order to Increase Usage
Authors:   Bina Nusantara Graduate Program – Master of Information System Management, Jakarta, Indonesia, Amelia* Ailsa , Abidin Andi Ali Zainal ,   Bina Nusantara Graduate Program – Master of Information System Management. Jakarta, Indonesia, Sfenrianto Sfenrianto ,   Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta
Published: February 2020

In Indonesia, there are currently a variety of online learning platforms, namely called Education Technology (Edtech) which have various of different value creations in each one of them, value creation is a manufacturing of products or services that will eventually meet customers demand. Leson.id is one of Edtech’s learning platforms with a vision of helping Indonesian students carry out an online learning practices by giving a various forms of examinations, quizzes and learning materials. However, in a very competitive situation, Leson.id is in need to increase their value creation to the users, to differentiated from the other Edtech’s competitor. This study aims to improve Leson.id value creation from before to be a better version of Leson.id in the future. The value creation are analyzed based on the research that we conduct. We have a total of 120 students who have been interviewed and filled in the survey for the use of Leson.id existing value creation. Based on the result of the survey, we will be analyzing which value in Leson.id that can be improved. Currently there are four value creation aspects that will be used as a methodology to analyzed the value creation of Leson.id learning platforms. Based on Amit and Zott model there are many aspects of value creation, namely efficiency, novelty, Lock in, and complementary aspects. The development of Leson.id latest value creation by is expected to increase the number of users of the Leson.id website, thus it could also improve the competition between other Edtech industries in Indonesia.
Assessing Effectiveness of Exercised Variants of Machine Learning Techniques
Authors:   Research Scholar, Department Computer Science & Engineering, RNSIT, Bengaluru, India., Panchal* Soumyashree M , Uma Dr. S V ,   Associate Professor, Department of Electronics & Communication Engineering, RNSIT, Bengaluru, India,
Published: February 2020

Currently, the research field of machine learning is receiving more attention due to the automatic visual inspection of different tasks. Thus, the machine learning scheme is incorporated with deep learning and artificial intelligence technology. However, there are different schemes (perception based, instance-based and logic based) to provide an effective classification, prediction, and data recognition in terms of characterizing the features at different conditions to design a suitable module. This investigational study provides a comprehensive study on different algorithmic approaches which are categorized in terms of classification-based, prediction-based and segmentation based approaches. Also, this study evaluates the performance of various machine learning methods and their applications in different fields and also their limitations. Finally, this study leads to identifying the research gaps in the machine learning approach, which can be addressed by further research.
Smart Farming: IoT Based Water Managing System
Authors:   Dept of AIML, BMSIT&M, Bangalore, India, H S* Anupama , Bhavani Durga ,   Dept of CSE, BMSIT&M, Bangalore, India, Fayaz Afra Zayab ,   Dept of CSE, BMSIT&M, Bangalore, India, Benny Allen ,   Dept of CSE, BMSIT&M, Bangalore, India
Published: February 2020

Now-a-days farming is an important occupation which plays a vital role in the survival of all the Human Beings. This is a field where every other person can start with their own farming system. But farmers of current environment don’t have the intelligent process involved in it. So there is an alarming need for the intelligent farming processes. New methods have to be incorporated from the conventional ways of farming to achieve efficient farming. Among all the problems that the farmers are facing, most common and important problem that the farmers have is water problem. They have scarcity of water for the farming because of irregular presence of water availability due to floods and sometimes due to drought. So there is a need for smart water management and conserving the systems to effectively utilize the water whenever required. Addressing the problems faced by the farmers in the proper utilisation of the water in the farming, this work proposes an IoT based water management system to effectively use, conserve and reuse of the water for the plants.
Sarcastic Detection of Twitter Comments using Python
Authors:   Department of Computer Science and Engineering, Francis Xavier Engineering College, Tirunelveli, India., A.H* Nishan. , Wise.D.C Dr. Joy Winnie ,   Department of Computer Science and Engineering, Francis Xavier Engineering College, Tirunelveli, India., S Malaiarasan. ,   Department of Computer Science and Engineering, Francis Xavier Engineering College, Tirunelveli, India., Krishnan.C Dr. Gopala ,   Department of Computer Science and Engineering, Francis Xavier Engineering College, Tirunelveli, India.
Published: February 2020

A sarcasm / joke is a language of expressing the feeling in an opposite manner. In case of aural or cinematographic information the sarcasm can be identified easily through the tonal stress, gestures and facial expressions. But the main challenge of sarcasm is sarcastic detection in textual information where there is an absence of expressions or tonal stress. Presently a days, the utilization of informal organizations are enormously expanded. Most of the people express their feelings in their posts and comments in sarcastic manner. Sarcasm creates inquisitiveness and courtesy towards it in sentimental analysis. Wistful Analysis is the procedure or investigation of examining the sentiments. In this project, I have chosen twitter comments for this sarcastic sentimental analysis which is commonly an opinion mining. The importance of the project is to increase the accuracy rate by feeding huge data set for training. The purpose of finding the sarcasm in social networks is to block the user who points particularly or attack any victim which is not considered as sarcasm.
Developing Ethiopian Yirgacheffe Coffee Grading Model using a Deep Learning Classifier
Authors:   FCSE, Arbaminch University, Ethiopia., Arunkumar* Dr.J.R. , berihun Mr. Tagele ,   FCSE, Arbaminch University, Ethiopia.
Published: February 2020

Coffee grading is the main procedure in producing homogenous local commercial fair system of pricing in the market and export. Grading coffee is a difficult task during the inspection, because it requires training and experience of the experts. In order to tackle grading difficulties in coffee producing industries and corporates have been employed and trained experts. Even if, those experts do not work effectively due to tiredness, costly, time consuming, inconsistency, bias and other factors. Digital image processing techniques based on automatically extracted features have been explored to classify Ethiopian coffee to corresponding quality grade labels. Samples of those coffee beans were taken from Yirgacheffe Coffee Farmers’ Cooperative Union. On average, 228 images were taken from each of three grade values or levels (grade 1, grade 2 and grade 3). The total number of images taken was 684 containing 6138 coffee beans. To extract coffee bean features and build a classification model for grading coffee, the state of art deep learning algorithm called convolutional Neural Network was used. Base on the experimental results classification accuracy obtained with testing coffee bean images for grade 1, grade 2 and grade 3 coffee beans was 99.51%, 97.56%, and 98.04%, respectively with the overall classification accuracy of 98.38%. This shows a promising result, even if, images are captured under the challenging condition without laboratory setup, such as illumination, different resolution, shadow and orientation which affects greatly the performance of the classifier and hence they are the future research direction that needs further investigations of noise removal techniques.
Self Learning Gaming Bot using CNN.
Authors:   pursing Computer Engineering, Indira College of Engineering And Management, Maharashtra, India., Kine* Sanket , Londhe Mansi ,   She is currently pursing Computer Engineering from Indira College of Engineering And Management, Maharashtra, India., Milk Akshada ,   pursing Computer Engineering from Indira College of Engineering And Management, Maharashtra, India., Modani Yadnyesh ,   Computer Engineering student at Indira College of Engineering And Management, Maharashtra, India., Pise Dr.Priya ,   Professor at Indira College of Engineering, Maharashtra, India.
Published: February 2020

In the present universe of current gaming condition bots are the intelligent agent that assumes a prominent job in the popularity of a game in the market. As these bots have gotten very unsurprising to the games. So here we are proposed an AI model for playing games with high level inputs using reinforcement learning. Algorithm works in the Atari Environment i.e. we are using 2D game. This model consists of the CNN (convolution neural network) for the inputs which is fully connected layers and find out the actions according to the inputs. In this learning -based approach, bots learned how to attack and ignore opponents so that bot can get maximum score. In this learning -based approach, bots learned how to attack and ignore opponents so that bot can get maximum score Then we tried the combine the input method which results maximum score of the bot in the environment for the better performance.
Enhancement of Thermal and Acoustical Properties of Hybrid Nano Fluid
Authors:   Professor , Mechanical Engineering, Institute of aeronautical Engineering college, Hyderabad, India., Rao* Dr.G.V.R.Seshagiri , Varsha A. ,   PG Scholar ,Mechanical Engineering, Institute of aeronautical Engineeringcollege,Hyderabad,India, Rao Dr.P.Srinivasa ,   Professor, Department of Mechanical Engineering, Vardhaman college of Engineering ,Hyderabad, India.
Published: February 2020

In this paper, ash from agriculture waste i.e., sugarcane bagasse was used in the synthesis of silica. Nanoparticles were followed by using leaching and acid treatment. The required ash from agriculture waste (sugarcane bagasse) are subjected to sintered at 700℃ at 5hours in order to reduce the residuals from the ash. The obtained powder was treatedwith1M of NaOH for leaching and then acid treatment with 0.5M H2SO4 to precipitate pure SiO2 Nanoparticles powder. The synthesized silica were charecterized by XRD,FTIR). Using neem leaves extract, extraction of silver (Ag) nanoparticles was obtained. These plant extract (neem leaves) can be act as capping agent and reducing agent. Charecterization were done for this process i.e., XRD and FT-IR. This procedure requires 15min for conversion of silver ions to silver nanoparticles, without any harmful chemicals. Nanofluids were prepared by synthesized Ag-SiO2 nanoparticle dispersed into water i.e.,base fluid using ultrasonication method. These nanoparticles were characterized by zeta potential, FT-IR and Ultrasonic Inferometer. Nanofluid with volume fraction of 0.04% and 0.06% at different temperature are using for the measurement of ultrasonic velocity(v),then predict the adiabatic compressibility(β),intermolecular free length(Lf), Accoustical Impedence(Z) and thermal conductivity(k) of nanofluids. This experiment mainly concluded that agricultural wastages, converted into a valuable product, reducing environmental impact of disposal problems. Increase the thermal conductivity of metal by adding metal oxides for nanofluids.
Rate Reduction of Wavelength Converters aAt Locations of Blocking in WDM Networks
Authors:   Department of ECE, R.V.College of Engineering, Visvesvaraya Technological University, Bengaluru, Karnataka, India., S.* Ramya , T. S. Indumathi ,   Professor Department of, Digital Electronics & Communication Systems, V.I.A.T, Chikaballapur District, Bengaluru, Karnataka, India.
Published: February 2020

This work, unforeseen systems are recreated for the blocking probabilities utilizing the channel task techniques like initially fit and arbitrary task strategies. Re-enactments are performed without converters for two cases in particular, NO CONV-FIRST FIT and NO CONV-UNIFORM and with converters haphazardly situated at hubs for two cases, for example, CONV-FIRST FIT-ALL, CONV-UNIFORM-ALL and with converters arbitrarily situated at centers past certain situation for two specific cases, CONV-FIRST FIT-SPEC and CONV-UNIFORM-SPEC. The presentations of every one of these strategies are contrasted and each other for an instance of 10 channels and burden on the system is 5 Erlangs.
Implementation of an Adaptive MIMO System using Effective Minimization of Frame Error Rate
Authors:   Assistant Professor and Head, Department of Padmabhushan Vasantdada Patil College of Engineering, Mumbai, India., Govekar* Mrs. Leena , Rao Prof. Y. S. ,   Vice Principal, Sardar Patel Institute of technology, Mumbai, India.
Published: February 2020

Paper Multiple Input Multiple Output (MIMO) is a technique which is now being widely used for wireless communication techniques such as 4G LTE. MIMO uses multiple antennas at the transmitter as well as at the receiver side in order to improve spectral efficiency although it increases the system complexity. Multipath propagation, which is the drawback for wireless communication, is used as an advantage in MIMO. This paper presents a model of Adaptive MIMO system in Simulink. The system adapts to specific transmit and receive diversity depending on the frame error rate. The proposed system uses 4 transmitting and receiving antennas, the number of antennas change as per the adaptation algorithm. The data is sent in the form of frames with each frame carrying the desired number of bits. Here, we have implemented the Orthogonal Space-Time Block Coding (OSTBC) scheme in a MATLAB Simulink model and implemented an adaptive algorithm to change the quantity of transmitting and receiving antennas depending on the frame error rate (FER) value.
Influence of Albite Activator in Geopolymerisation of Slag Wastes from Iron and Aluminium Industry
Authors:   Department of Civil Engineering, Ramaiah Institute of Technology, Bengaluru, Affiliated to Visvesvaraya Technological University Belagavi, Karnataka India, B* Nagashree , R Dr Mourougane ,   Department of Civil Engineering, Ramaiah Institute of Technology, Bengaluru, Affiliated to Visvesvaraya Technological University Belagavi, Karnataka India., Krishna Dr R Hari ,   Department of Chemistry, Ramaiah Institute of Technology, Bengaluru, Affiliated to Visvesvaraya Technological University Belagavi, Karnataka India
Published: February 2020

Geopolymerization mechanism involves the reaction between materials rich in silica and alumina in the presence of alkaline medium to form a polymer structure. Present study involves in usage of the raw materials, which are the waste slag products from iron industry (GGBS) and aluminum industry (RED MUD – RM) in the various proportions of RM: GGBS as 0:100,25:75,50:50,75: 25,100:0 in presence of albite activator(AA) and NaOH which initiates polymerization and finally resulted in obtaining geopolymer concrete(GPC). Various experiments were conducted to analyze the mechanical and microstructure performance of the obtained GPC and therefore compared with the normal conventional concrete. Results showed that with 0% RM and 100% GGBS performs best when compared to Normal conventional concrete(NCC).
Performance Analysis of LMS, NLMS Adaptive Algorithms for Speech Enhancement in Noisy Environment
Authors:   Research Scholar, Dept. of ECE, Dr. Y S R University College of Engineering, Acharya Nagarjuna University, Guntur., Umasankar* Ch. D. , Sairam Dr. M. Satya ,   Dept. of ECE, RVR&JC College of Engineering, Guntur.
Published: February 2020

The speech enhancement is an important technique to remove noise from corrupted speech signal. Here several Adaptive Algorithms were proposed to improve quality of speech signal. In this paper to estimate the speech enhancement performance with variety of noise reduction algorithms using adaptive filters like LMS, NLMS. Simulations were performed on noisy data which was prepared by adding machinegun, Factory, vehicle and Traffic noise at 0dB, 5dB and 10dB SNR levels to clean speech samples The performance comparison of adaptive noise cancellation (ANC) system using LMS and NLMS algorithms was carried by means of signal to noise ratio (SNR), mean square error (MSE) and root mean square error (RMSE). Based on performance analysis, the NLMS algorithm was found to be a better optimal adaptive noise canceller for speech signal
Behavior of Geopolymer Concrete by using Steel Fibers
Authors:   Post-Graduation Student, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, India., Surendar* Chevula , Goud K.Anand ,   Assistant-Professor, Department of Structural Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, India., Kaviti Dr.Shruthi ,   Associate-Professor, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, India.
Published: February 2020

Research for complete OPC free cement is as of recently advancing and there is a need for making elective restricting bosses which are earth neighborly. One such option is seen to be geo polymer which routinely contains fly garbage, sodium silicate, and sodium or potassium hydroxide (NaOH or KOH). Since, many coal based force plants in India have been leaving an immediate consequence of pushed towards cleaner importance age and this may induce absence of fly ash in future. The generation of Ordinary Portland concrete and the use of typical waterway sand are expanded because of the interest of cement in development Industries. The emanation of CO2 increments during the generation of concrete and simultaneously the accessibility of waterway sand is likewise getting costlier and shortage because of illicit digging of stream sand. The primary intension of this exploration paper is to center the eco inviting elective material for the concrete and waterway sand. In the present study an experimental investigation was conducted on fly ash based geo polymer cement is examine the clean and hardened characteristic of geo polymer cement by using steel fibers. The percentage addition of steel fibers are 0.00%, 0.50%, 1.00%, 1.50%, 2.00%. The addition of steel fibers from 0% to 2%, the estimation of droop diminishes the 60 mm to 25 mm with increment in the level of steel standards. The estimation of compaction factor increments from 0.84 to 0.95 for M30 Grade concrete with increment in the level of steel standards from 0% to 2%.