bluuebunny/crossref_metadata_2025 huggingface dataset:
A Novel Order Analysis and Stacked Sparse Auto-Encoder Feature Learning Method for Milling Tool Wear Condition Monitoring
Authors: Ou Jiayu , Li Hongkun , Huang Gangjin , Zhou Qiang
Published: May 2020

Milling is a main processing mode of the modern manufacturing industry, which seriously affects the quality and precision of the machined workpiece. However, it is difficult to monitor the tool wear condition in the continuous cutting process, especially under a variable speed condition. The existing tool wear condition monitoring methods only carry out analysis with a constant engine speed. Different from the general monitoring methods, this paper put forward a milling cutter wear condition monitoring method based on order analysis (OA) and stacked sparse autoencoder (SSAE). The methodology in the research include signals feature extraction and tool wear state monitoring and were designed to analyze the three-phase spindle current signals instead of the traditional force signals and vibration signals. The variable speed signals were transformed into angle domain stationary signals by order analysis, and the SSAE neural network was used to monitor the tool wear state. The proposed method was verified on the laboratory signals and the results showed a better performance than the other methods and a better applicability in actual industrial manufacturing.
SPR Biosensor Based on Polymer Multi-Mode Optical Waveguide and Nanoparticle Signal Enhancement
Authors: Walter Johanna-Gabriela , Eilers Alina , Alwis Lourdes , Roth Bernhard , Bremer Kort
Published: May 2020

We present a surface plasmon resonance (SPR) biosensor that is based on a planar-optical multi-mode (MM) polymer waveguide structure applied for the detection of biomolecules in the lower nano-molar (nM) range. The basic sensor shows a sensitivity of 608.6 nm/RIU when exposed to refractive index changes with a measurement resolution of 4.3 × 10−3 RIU. By combining the SPR sensor with an aptamer-functionalized, gold-nanoparticle (AuNP)-enhanced sandwich assay, the detection of C-reactive protein (CRP) in a buffer solution was achieved with a response of 0.118 nm/nM. Due to the multi-mode polymer waveguide structure and the simple concept, the reported biosensor is well suited for low-cost disposable lab-on-a-chip applications and can be used with rather simple and economic devices. In particular, the sensor offers the potential for fast and multiplexed detection of several biomarkers on a single integrated platform.
Monitoring Wheat Growth Using a Portable Three-Band Instrument for Crop Growth Monitoring and Diagnosis
Authors: Li Huaimin , Lin Weipan , Pang Fangrong , Jiang Xiaoping , Cao Weixing , Zhu Yan , Ni Jun
Published: May 2020

An instrument developed to monitor and diagnose crop growth can quickly and non-destructively obtain crop growth information, which is helpful for crop field production and management. Focusing on the problems with existing two-band instruments used for crop growth monitoring and diagnosis, such as insufficient information available on crop growth and low accuracy of some growth indices retrieval, our research team developed a portable three-band instrument for crop-growth monitoring and diagnosis (CGMD) that obtains a larger amount of information. Based on CGMD, this paper carried out studies on monitoring wheat growth indices. According to the acquired three-band reflectance spectra, the combined indices were constructed by combining different bands, two-band vegetation indices (NDVI, RVI, and DVI), and three-band vegetation indices (TVI-1 and TVI-2). The fitting results of the vegetation indices obtained by CGMD and the commercial instrument FieldSpec HandHeld2 was high and the new instrument could be used for monitoring the canopy vegetation indices. By fitting each vegetation index to the growth index, the results showed that the optimal vegetation indices corresponding to leaf area index (LAI), leaf dry weight (LDW), leaf nitrogen content (LNC), and leaf nitrogen accumulation (LNA) were TVI-2, TVI-1, NDVI (R730, R815), and NDVI (R730, R815), respectively. R2 values corresponding to LAI, LDW, LNC and LNA were 0.64, 0.84, 0.60, and 0.82, respectively, and their relative root mean square error (RRMSE) values were 0.29, 0.26, 0.17, and 0.30, respectively. The addition of the red spectral band to CGMD effectively improved the monitoring results of wheat LAI and LDW. Focusing the problem of vegetation index saturation, this paper proposed a method to construct the wheat-growth-index spectral monitoring models that were defined according to the growth periods. It improved the prediction accuracy of LAI, LDW, and LNA, with R2 values of 0.79, 0.85, and 0.85, respectively, and the RRMSE values of these growth indices were 0.22, 0.23, and 0.28, respectively. The method proposed here could be used for the guidance of wheat field cultivation.
Body Mass Index in Human Gait for Building Risk Assessment Using Graph Theory
Authors: Velásquez Washington , Alvarez-Alvarado Manuel S. , Munoz-Arcentales Andres , López-Pernas Sonsoles , Salvachúa Joaquín
Published: May 2020

This article presents a comprehensive study of human physiology to determine the impact of body mass index (BMI) on human gait. The approach followed in this study consists of a mathematical model based on the centre of mass of the human body, the inertia of a person in motion and the human gait speed. Moreover, the study includes the representation of a building using graph theory and emulates the presence of a person inside the building when an emergency takes place. The optimal evacuation route is obtained using the breadth-first search (BFS) algorithm, and the evacuation time prediction is calculated using a Gaussian process model. Then, the risk of the building is quantified by using a non-sequential Monte Carlo simulation. The results open up a new horizon for developing a more realistic model for the assessment of civil safety.
Percepção da comunidade local sobre o turismo no Parque Nacional da Chapada das Mesas, Carolina (MA)
Authors: Sudré Stephanni , Souza Thais Vieira de , Oliveira Andressa Nogueira de , Azevedo Camilo da Silva
Published: May 2020

O presente estudo dedicou-se a analisar o turismo no Parque Nacional da Chapada das Mesas na perspectiva da comunidade local. E para isso desenvolveu seus objetivos específicos: Identificar a percepção sobre o turismo pela comunidade local e do entorno do PNCM; Entender a relação da comunidade com o turismo no PNCM e Compreender as possibilidades de participação da comunidade no turismo do PNCM. A metodologia utilizada foi pelos fins a pesquisa qualitativa e pelos meios a pesquisa descritiva exploratória. A coleta de dados ocorreu por meio da Pesquisa Bibliográfica direcionada as publicações sobre ecoturismo e Pesquisa Documental nos dados disponíveis do PNCM. A Pesquisa de Campo se deu através da visitação aos integrantes da comunidade na rota dos atrativos Cachoeira do Prata e Cachoeira de São Romão, e através de entrevista semiestruturada com roteiro de entrevista orientado pelos objetivos. Assim, foi possível observar que a comunidade percebe o turismo no PNCM como potencial gerador de renda, porém, são poucas as oportunidades dadas pelo mercado e pela gestão do parque.
Nasilje u kontekstu europske migracijske krize
Authors: Rapić Darko , Bilokapić Šimun
Published: May 2020

Migracije i migracijska kriza zaposjeda cijelu Europu. Ne samo njezin teritorij, nego njezin duh, misao i osjećaje. Europa je prisiljena promišljati, planirati, a nerijetko i strahovati. Netko je nepoznat i prijeteći ovdje, među nama. Netko tko straši. Jedan od okidača za njezin
hitan angažman svakako je strah od stvarnog ili mogućeg nasilja (pre)često tematiziranog u sredstvima društvenog priopćivanja. Događa se, nažalost, da strah od nasilja i nepoznatog postaje sredstvo zastrašivanja domaćeg stanovništva usmjereno protiv onih koji su potrebni možda samo razumijevanja i prihvaćanja. Stoga, osnovna nakana ovoga rada sastoji se u tome da, na temelju razumijevanja bitnih obilježja fenomena nasilja, podrobnijeg razmatranja nekih statističkih elemenata migracijske krize, naročito činjenice da su migranti i izbjeglice i počinitelji i žrtve nasilja, pokaže kako ne postoje konkretni dokazi koji bi na poseban način povezivali migracije i nasilje
u smislu značajnijeg povećanja nasilja povezanog upravo s migracijama. Migracijska kriza i 'nepoznat netko' ne rješava se manipulacijama, strahom, prijetnjom i nasiljem, nego aktualizacijom temeljnih evanđeoskih vrednota ljubavi i solidarnosti, prihvaćanja i gostoljubivosti.
Literary Personality evident in Kalaignar M.Karunanidhi’s Text bibliography
Authors: P Sridevi
Published: May 2020

Kalaignar M. Karunanidhi stands high of all literary stalwarts of his age through his contribution to the language, literature and the state as a writer and a leader. He had been meticulously writing for decades together producing wide range of works that include political statements, pamphlets, editorial columns, poems, plays, stories, and translations of classics, screenplay and dialogues for films, Television serials and so on. His area of expertise includes ancient Tamil literature on which he has written kuraloviyam, sangaTamizh, Tholkapiyapoonga and ThirukuralThelivurai. He registers his vision for Tamil language and people in his works. He records his pride in rich Tamil tradition and at the same time he employs satire to comment about the grey areas. This paper studies the works of Dr. Kalaignar and presents the social history of the Tamils depicted in it through various literary devices.
ANALISIS KEMAMPUAN PEMECAHAN MASALAH PADA SOAL CERITA MATEMATIKA BERDASARKAN TEORI POLYA DITINJAU DARI ADVERSITY QUOTIENT
Authors: Aini Novita Nurul , Mukhlis Mohammad
Published: May 2020

One of the studen learning goals mathematics is mathematical reasoning for outcomes training student to solve the problems. One of the problems faced by students is word questions. There are several students responses in dealing with word question which is known as Adversity Quotient. This research aims to describe the students' problem solving skills in system of three-variable linear equations subject based on Polya's theory in terms of Adversity Quotient. This is a qualitative descriptive research with three subjects of students class X IPA 1 SMAN Arjasa Jember, there are one climber student, one camper student and one quitter student. These subjects took purposive sampling with consideration according to the results of questionnaire scores that meet each of the criteria of Adversity Quotient. Data collection techniques used were questionnaires, tests, interviews and observations. The validity test used is technical triangulation. Data analyzed through data condensation, data presentation and conclusion drawing. The results showed that student with the type of climber was able to meet all the indicators of problem solving in the problem of the word questions which included indicators of understanding the problem, planning the solution, carrying out the plan of solving and re-checking. Camper type student met all indicators of problem solving except at the re-checking stage. Quitter type student in completing word questions met the stage of understanding the problem and planning the solution, while the stage of carrying out the plan and re-checking is not fulfilled by the quitter student.
PENGGUNAAN BATU CERMAT DALAM MENGEMBANGKAN KEMAMPUAN BERPIKIR KREATIF DAN BUDAYA LITERASI SISWA
Authors: Hakim Abdul
Published: May 2020

Based on the data and experience of researchers in classes that are able to show interest in literacy and critical thinking skills is still low. Therefore, researchers applied the Batu Cermat method. Batu Cermat comes from “baca-tulis-uji-cerpen-matematika,” (read-write-test-short story mathematics). Batu Cermat aims to civilize literacy and instill communication skills, collaborate, think critically, and creatively with students. This article is in the form of qualitative research, the best practice of researchers applying Batu Cermat to students of SMPN 1 Dolopo starting the 2015/216 school year to 2017/2018. The information needed is obtained by the documentation study technique, in the form of using a list of values ​​supported by a questionnaire. Through Batu Cermat, students are given the opportunity to think creatively by making short stories in mathematics. How, with m ema be incorporated math problems or related information in a short story, and be able to solve the problem themselves. The validity is tested its validity with each other carefully and resolved. As a result, students are able to make short, good mathematical nuances of short story work according to the rules of short story writing. Proven Batu Cermat can be a catalyst in civilizing literacy and developing the ability to think creatively students. The Batu Cermat is more optimal, if the reading movement becomes more entrenched and requires patience and cooperation across subjects. Up to now, the students' careful work has published four ISBN short story mathematics books.
El futuro de los sistemas educativos en clave de gobernanza. Una introducción
Authors: Cuenca Ricardo
Published: May 2020

Un elemento central en la investigación de las reformas, políticas y programas educativos es la manera como se gobiernan los sistemas que las diseñan e implementan. Esta perspectiva, útil tanto para el análisis como para la evaluación de dichas iniciativas, es una renovada entrada para comprender las dinámicas de los sistemas educativos.

A inicios de los años noventa, la noción de gobernanza surge como parte de las discusiones sobre políticas públicas; específicamente, lo hace en el marco de los debates sobre las nuevas relaciones que se establecen entre Estado y sociedad, y sobre el papel de los ciudadanos como sujetos que participan en el proceso de gobernar (Aguilar, 2010). Una completa definición de gobernanza es la propuesta por Hyden, Court y Mease (2004), quienes sostienen que esta es la manera como se gestionan las reglas, formales e informales, del juego político en las instituciones, estatales y privadas, que persiguen objetivos públicos. Nos servimos de esta definición para plantear la pertinencia de esta perspectiva conceptual para entender las decisiones educativas que toma el Estado y la manera como estas son experimentadas por la sociedad...
SOSYAL JET-LAG SENDROMU ÜZERİNE BİR DEĞERLENDİRME
Authors: Uzunay Aybanu Şüheda , Kalfaoğlu Serap , Akgemci Tahir
Published: May 2020

Sosyal jet-lag sendromu, hafta sonları uyku düzeni değiştirildiğinde, geç yatıp geç kalkıldığında, dolayısıyla vücudun doğal uyku düzeninin bozulduğunda ortaya çıkmaktadır (Roenneberg, 2012). Bu sendroma yakalanan çalışan insanın obezite gibi olumsuz biyolojik sonuçlarla karşılaşma ihtimali artarken; uyku hali, yorgunluk, kötü ruh hali, depresyon gibi olumsuz sosyo-psikolojik etkilere de maruz kaldığı görülmektedir.
Bu çalışma, sosyal jet-lag üzerine farkındalığı artırmak ve yüz yüze katılım ile özellikle bu sendroma maruz kalmış insanların yaşadığı sosyo-psikolojik etkileri ortaya çıkarmak amacını taşımaktadır. Bu amaçla, Konya ilinde bir işletme çalışanları üzerine bir araştırma yapılmıştır. Araştırma, nitel araştırma yöntemini esas alan, olgu bilim deseni kullanılarak hazırlanmıştır. Araştırmada kullanılan teknik ise yarı-yapılandırılmış görüşme tekniğidir. Görüşmeler sonucunda, çalışanların sendroma ilişkin farkındalık düzeyi, çalışma yaşamlarına yansıyan etkileri ve sendromla başa çıkmada kullandıkları yöntemler açıklanmış; kişinin kendisine uygun bir uyku ritmine sahip olmasıyla çalışma yaşamındaki etkileri üzerine değerlendirmeler yapılmıştır.
MAASTRICHTIAN LARGER BENTHIC FORAMINIFERA FROM THE ARABIAN PLATE SENSU LATO: NEW DATA FROM SOMALIA, TURKEY, AND IRAN
Authors: Schlagintweit Felix
Published: May 2020

Larger benthic foraminifera from the upper Maastrichtian Auradu Formation of Somalia exhibit striking matches with the assemblages from the time-equivalent Tarbur Formation of Iran and other, but less well studied lithostratigraphic units in SE Turkey (e.g., Garzan Fm.). Some taxa, among also new ones, described from Somalia need taxonomic updates (revision, synonymy, re-instatement). Dukhania? cherchii Luger is considered a junior synonym of Acordiella? tarburensis Schlagintweit & Rashidi, and Pseudorbitolina schroederi Luger is re-instated and considered a valid taxon, different from the Campanian P. marthae Douvillé of the western Tethyan domain. The genus Cyclopsinella Galloway is reported for the first time from the upper Maastrichtian of Iran.
Faces of Muhammad: Western Perceptions of the Prophet of Islam from the Middle Ages to Today by John V. Tolan
Authors: Mohammed Moiz
Published: May 2020

Book Review
Imageem: Pre-Trained Encoded Vector Embeddings for Image Modelling
Authors:   SRM Institute of Science and Technology, Choudhury* Siddhartha Dhar , Mehrotra Kunal ,   SRM Institute of Science and Technology, Vanusha D ,   SRM Institute of Science and Technology
Published: May 2020

Today some of the most intriguing challenges posed in the field of AI, is the lack of computational resources required to train the deep learning models, especially the image related problems. These Image modelling problems are solved by training a Convolutional Neural Network (CNN) which is computationally expensive process. Our aim is to extract the features of the images by training on these vector embeddings locally and then deploying it in the server for easy access to the researchers. The proposed system provides high dimensional vectors that capture dense features of objects. Pre-trained word embedding is a common way of representing words in a vocabulary present in a document. These embeddings have the capability to capture the context of a particular word in a sentence or an entire document, in relation with words other than the one under review. A popular algorithm for training these word embeddings is skip-gram model proposed in Word2Vec architecture.By using these trained vector embeddings of popular image models, researchers can download them and apply it to their use case which will reduce their training time by a thousand fold. Our aim is to make it so simple for the user that he can train it on edge devices like raspberry pi, jetson nano, these pre-trained vectors image models of high accuracy can be trained on even mobile phone processor.
Low Temperature Combustion with Multiple Injection Strategies in Single Cylinder Diesel Engine
Authors:   Research Scholer, SVKM’s IoT, Dhule, Maharashtra, India, Sonawane* Yogesh Diliprao , Deore Ekanath Raghunath ,   Research Scholer, SSVPS's BSDCoE, Dhule, Maharashtra, India
Published: May 2020

Low-temperature combustion(LTC) with multiple injection strategies is a recent trend for NOx and soot reduction in single-cylinder diesel engines. This paper presents a technical study of past research carried out on multiple injections, which are pilot I and pilot II injection before main injection, to decrease engine soot to meet emission legislation while upholding efficiency and decrease or eliminate exhaust after treatment. Previous research indicates that extending ignition lag to enhance the proper premixing, and controlling temperature of combustion to optimal level using Exhaust Gas Recirculation, have been accepted as an important aspect to attain low temperature combustion. In this paper, we first discuss the effect pilot I injection and pilot II injection strategy through varied injection quantity and time range. Thereafter, we briefly review how pilot II injection provides better results compared with the pilot I injection, which is by reason of better premixing, improves the turbulent effect and lowers the emission. Next, we provide a broad overview of the collected works on the effect of injection pressure, temperature and rate of exhaust gas recirculation on engine emissions. We conclude by identifying a few dependencies of engine parameters in low-temperature combustion by multiple injections so as to reduce the engine emissions.
An Assessment of Gpu and Cpu based Convolutional Neural Network for Classification of White Blood Cells
Authors:   Department of Computer Science, Kwara State University, Malete, Kwara. Nigeria., S.* Babatunde R. , O. Adigun J. ,   Department of Computer Technology, Yaba College of Technology, Lagos, Nigeria., F.M. Okikiola ,   Department of Computer Technology, Yaba College of Technology, Lagos, Nigeria.
Published: May 2020

White blood cell (Leukocytes) is made up of bone marrow located in the blood and lymph tissue. They are portion of the human body’s immune system, thereby helping the body system to fight against infection and other related diseases. The number of leukocytes in the blood is usually part of a complete blood cell (CBC) test, which may be used to check for conditions such as infection, inflammation, allergies, and leukemia. Automation of variance count of leukocytes offers valuable information to medical pathologist to diagnose and treat of many blood based diseases. Early characterization and classification of blood sample is a major lacuna in the medical field, giving rise to lots of challenges for pathologist to adequately predict blood based disease. Several successful efforts have been made to address the aforementioned challenges with the use of machine learning generally and Convolution Neural Network in particular. However the processor configuration which can result in real time, and accurate classification of the high dimensional pattern is imminent, and a vast number of researchers are not explicit on the system configuration used to obtain the result in their report, which is the crux of this research. In this research,12,500 augment images of blood cells was obtained from the Kaggle Repository online. The leukocytes are contained in the blood smear image and categorized into five major types of their types: Neutrophil, Eosinophil, Basophil, Lymphocyte and Monocyte. The color, geometric and texture features are used by the pathologists to differentiate the leukocytes. The Simulation was done using python programing language and python libraries including Keras, pandas, sklearn, numpy, scipy and matplot for potting of graphs of results. The simulation was done on both CPU and GPU processor to compare the performance of the processors on CNNs based classification of the data. While CPU has faster clock speed GPU has more cores. Hence the evaluation metrics used which are precision, specificity, sensitivity, training accuracy and validation accuracy revealed that GPU processor outperforms CPU in terms of the stated metrics of comparison. Therefore a high configuration processor (GPU), which handles graphics better is recommended for processing image data that involves the use of machine learning techniques
Composition Optimization Low Water Demand Cements
Authors:   Master, Doctoral Student, Samarkand State Architectural and Civil-Engineering Institute. Samarkand, Uzbekistan., Umurovich* Karimov Gafur , Vahobovich Yusupov Khamid ,   Associate Professor, Samarkand State Architectural and Civil-Engineering Institute, Samarkand. Uzbekistan., Khabibilla Kamilov ,   Professor, Tashkent Institute of Architecture and Civil Engineering. Tashkent. Uzbekistan.
Published: May 2020

The article presents the results of studies on optimizing the composition of cement of low water demand using sand dunes and slags. The obtained formulas and isoparametric graphs reflecting the strength of these binders are given.
AIoT with PUF: A Concrete Security
Authors:   Computer Science Department, Dr. D. Y. Patil ACS College, Pimpri, Pune, India., Patil* Mrs. Harsha , Mehendale Mrs. Deepashree ,   Computer Science Department, Dr. D. Y.PatilACSCollege,Pimpri,Pune,India., Tribhuwan Mrs. Malati ,   Computer Science Department, Dr. D. Y. Patil ACS College, Pimpri, Pune, India., Bankar Mrs. Vidya ,   Computer Science Department, Dr. D. Y. Patil ACS College, Pimpri, Pune, India., Kunjir Mr. Satyawan ,   Computer Science Department, Dr. D. Y. Patil ACS College, Pimpri, Pune, India., Masurekar Mrs. Reshma ,   Computer Science Department, Dr. D. Y. Patil ACS College, Pimpri, Pune, India.
Published: May 2020

Artificial Intelligence in contrast to Natural Intelligence also known as Machine Intelligence is intelligence revealed by machine. It is the science and engineering of making machines intelligent. Therefore, it is a technique that makes a machine work like humans. The IOT Internet of Things is a network of internet-connected objects which can connect and exchange data. The combination of AI and IoT called AIoT is the combination of Artificial Intelligence and Internet of Things to achieve more efficient IoT operations. When Artificial Intelligence is added to IoT it means that the devices can analyze data and make decisions and act accordingly without the intervention of humans. The combination of AI and IOT has several advantages like saving money, building deeper customer relationships, increased operational efficiency and productivity and enhanced security and safety. This research paper focuses on what is AIoT, its applications and challenges and further, it also focuses on AIoT security concern and how can we solve the security problem with the use of PUF which is hardware security which is a simple and fast solution for security purpose. PUF is also more compatible with AIoT gadgets. Attacks on IoT devices are on the upsurge. Physical Unclonable functions (PUFs) are recognized as a robust and mild-weight way for AIoT.
A New Asymmetrical MLI with Reduced Switch Count for a Three Phase Induction Motor
Authors:   Associate Professor, Department of Electrical Engineering, Annamalai University, Annamalai Nagar, Tamilnadu, India, Geetha* Dr. R. , Ramaswamy Dr. M. ,   Professor, Department of Electrical Engineering, Annamalai University, Annamalai Nagar, Tamilnadu, India
Published: May 2020

This work explores a novel multilevel inverter (MLI) topology to minimize the number of power switches in the passage of current to accomplish each level of the output voltage. The unequal magnitudes of the dc voltage sources in attempt to realize higher levels of the output voltage bring in the asymmetrical nature of operation. It involves a series parallel switched configuration with bidirectional switches to avert the flow of circulating current in between the two H - bridges in each phase of the MLI. The effort incites to use the theory of a new Pulse Width Modulation (PWM) strategy for mitigating the higher frequency components of the voltage applied to the stator. It imbibes the Phase Disposition (PD) principles in the modulating strategy for arriving at the sinusoidal shape for the output voltage . Total Harmonic Distortion (THD) indexed by lower values for the output voltage over the traditional firing scheme serves to be the highlight for the MLI in acclaiming its place in the inverter world. The results obtained through MATLAB based simulation over a range of modulation indices. The performance measured in terms of the THD claims its suitability for use in Induction Motor (IM) drives.
Cashless Canteen Management System
Authors:   Assistant Professor in the Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology., M* Ambika. , Kumar. R Saravana ,   Bachelor of Engineering in Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore., Nair Sandhya S ,   Bachelor of Engineering in Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Kumar. S Ranjith ,   Bachelor of Engineering in Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore.
Published: May 2020

The ultimate aim of the cashless canteen management system is to automate the existing traditional system which is manual, with the support of computerized equipment and full-featured computer applications, so that their valuable data can be retained for a prolonged period of time with quick access and management. The appropriate software and hardware are readily accessible and easy to use. There is a huge line in the institution cafeteria throughout the break. From the wait at the payment desk to the serving point, a ton of time is spent waiting for the food, because of which, students and the faculty get late for their lectures. All teachers and students do want to figure out a way to that or get rid of this waiting period. One way to resolve the issue would be to have a software arrangement in which, once the order has been put, it can be projected directly on the cafeteria monitor. This will prevent out the time people spend at the payment desk as the server needs time to fulfill the previous orders before taking a fresh receipt and setting it up in the cafeteria. Even, we could have the program to post orders in such a manner that his / her order is processed ready for the particular period that he / she prefers. The time wasted on waiting for change can also be diminished by enabling online payment. The project's main objective on Cashless Canteen Management System is to manage canteen, product, and sales information. It manages all the details of canteen, product, orders and users. The project is completely built at the administrative end and thus only admin is guaranteed the access.
Data Glove Technique based Gesture Recognition System
Authors:   Research Scholar, School of Electrical Engineering, Vellore Institute of Technology, Vellore, India,, Mathew Ammu Anna , J R Anoop ,   M-TECH in Electrical Machines, APJ Abdul Kalam Technological University, Vivekanandan* Dr. S. ,   Associate Professor, School of Electrical Engineering, Vellore Institute of Technology, Vellore, India
Published: May 2020

Communication is one of the important bonds in relationships, but for deaf, dumb and paralyzed persons this is very difficult and thus they communicate by gestures. It is a mode of communication between persons and for each gesture there is a meaning. Here the gestures are converted to a meaningful sentence or word and it is given as an output through external speakers with the help of using a microcontroller. Simply a gesture recognition or identification system using a microcontroller named ATMEGA with the help of a data glove is being used. An auxiliary communication tool by the help of a data glove is aimed for speech and hearing impaired people so that there is an effective communication between them and the others. The data sent from flex sensor and 3-axis accelerometer (ADXL330) is an analog voltage, which is further converted to digital signal using a microcontroller Atmega16 (Port A). The results identified by the controller are displayed on Android phones using the working application (.apk) which can be downloaded from play store. Thus enhanced effective communication between differently abled and normal person under any circumstances can be established. This concept provides an ease of operation for controlling appliances in a household for immobile persons. This device can be proved as a boon for partially disabled people to raise the quality of their life and become self-sufficient in the society.
Enhanced Lung Cancer Detection using Deep Learning Algorithm
Authors:   Student, Department of CSE, Koneru Lakshmaiah University, Vaddeswaram, Guntur(dt), Andhra Pradesh, India., Annapureddy* Reshma , Babu Boddu Sekhar ,   Assoc. Prof, Department of CSE, Koneru Lakshmaiah University, Vaddeswaram, Guntur(dt), Andhra Pradesh, India., Voleti Indusai ,   Student, Department of CSE, Koneru Lakshmaiah University (Deemed to be University), Vaddeswaram, Guntur(dt), Andhra Pradesh, India.
Published: May 2020

Lung cancer is more dangerous than any other cancer. Nowadays many people are affecting lung cancer because of their lifestyle and environmental conditions. The basic cause of lung cancer is smoking. Many steps are taken to avoid smoking but on the other way the cancer is affecting the people. In this paper, the Enhanced Deep Learning (EDL) based algorithm is introduced to detects cancer in lungs in various patients based on their symptoms. It is very important to detect the cancer in the earliers stages. The proposed system calculates the three parameters such as sensitivity, specificity and accuracy. Results show the performance of the proposed system.
Implementation of Agri Robot to Control Crop Disease using Image Processing
Authors:   Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India., Pavithra* R. , Hariharan K. ,   Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India., kumar S.Nithish ,   Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India., kumar A.Arun ,   Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India., Malathi S. ,   Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India.
Published: May 2020

An AGRI ROBOT for the discovery of yield sicknesses utilizing image processing procedures has been proposed in this paper. This epic innovation of utilizing image processing strategies includes the accompanying advances image acquisition, image pre-processing, image Segmentation, feature extraction in image and detection of crop diseases. This proposed venture utilizes image processing strategy for the recognizable proof of yield infection in MATLAB. With the assistance of image processing, Automatic location of differed ailments are regularly identified with the help of image processing. Image processing assumes a significant job inside the recognition of plant infections since it gives best outcomes and decreases the human endeavors. This venture is utilized to recognize the harvest illnesses and give answers for recuperate from the sickness. This tale innovation centered to structure a versatile application framework, so this framework helps the ranchers as they couldn't ready to screen the field for twenty four hours.
Internet of Things Analytics for Smart Home Applications
Authors:   Pursuing M.Tech (CSE), Guru Nanak Dev University, Amritsar. India, Kaur* Chanpreet , Kaur Prabhpreet ,   Assistant Professor, Department of Computer Engineering and Technology ,Guru Nanak Dev University, Amritsar, India.
Published: May 2020

With advancement in smart home services on mobile and wearable devices, individual can smartly control his/her home appliances such as fan, refrigerator, TV, air conditioner, etc., in an efficient manner. Internets of Things (IoT) devices are extensively utilized to interchange the data between smart applications, mobiles, and wearables. IoT devices are responsible for monitoring and sensing the data about home appliances with the help of sensor nodes, the obtained data is then communicate to given high-end devices for taking the suitable action. The overall objective of this paper is to study the existing IoT analytics techniques which are used to build smart applications for homes. This paper also discusses the various challenges to design a suitable smart home using IoTs. Thereafter, a comparative analyzes are considered to evaluate the shortcomings of these techniques and various gaps are formulated in the existing techniques. Finally, a methdology has been devised which can overcome the shortcomings of existing models and help enhancing the functioning of human activity recognition in smart homes.
An Efficient VLSI Design of 32X32 bit Multiplier using Wallace Tree Algorithm in Vivado HLS and Xilinx ISE Software using VHDL
Authors:   Department of ECE, LIET, Vizianagaram, India,, Voleti* Arun Kishore , Pasumarthi Jagadeesh ,   Department of ECE, LIET, Vizianagaram, India,, Yelusuri Deepika ,   Department of ECE, LIET, Vizianagaram, India, Rachakonda Sai Kiran ,   Department of ECE, LIET, Vizianagaram, India, Krishna S. Rama ,   Associate Professor, Department of ECE, LIET, Vizianagaram, India
Published: May 2020

Multiplier is the most basic component present in any digital system. These multipliers are mainly used in Digital Signal and Image Processing applications. In applications like image detection latest sophisticated algorithms like CNN are used which contains MAC units in their design. The multiplier used in MAC unit requires huge memory, offers high latency and consumes more power. There are many algorithms such as Combinational, Sequential and Array Multiplication Algorithms which helps in designing Multiplier. The major drawback in all designs is circuit complexity. The problem of latency and power dissipation are also present. Considering all the drawbacks present in those algorithms this paper proposes the usage of Wallace Tree Algorithm which consumes less power and has low latency. Also, there are many ways to add the final stage of partial products generated such as Carry Look Ahead adder, Carry Select Adder etc. This paper uses both Carry Select Adder and Ripple Carry Adder for performing final addition of partial products. All previous partial products are added using Half adders and Full adders. The Multiplier is designed using VHDL in Xilinx ISE and Vivado Platform.
Efficient Bus Pass Generation and Authentication using QR Code
Authors:   Assitant Professor, UG Student, Department of Computer Science and Engineering,Sri Shakthi Institute of Engineering and Technology, Coimbatore, Krishnammal* Mrs. N. , C Ramya ,   UG Student, Department of Computer Science and Engineering,Sri Shakthi Institute of Engineering and Technology, Coimbatore, Ganesh K Shiva ,   UG Student, Department of Computer Science and Engineering,Sri Shakthi Institute of Engineering and Technology, Coimbatore, R Shrenidhi ,   UG Student, Department of Computer Science and Engineering,Sri Shakthi Institute of Engineering and Technology, Coimbatore
Published: May 2020

The main aim of the project is to effective bus pass generation and authentication using QR code. In this project the entire bus pass generation is made as a online application. So one can easily apply and renew their bus pass in a simple and easy manner. This very useful for students and regular bus pass users. In this application user and admin both have login pages. The Users need to register by submitting the details and user id will be generated for the user. After registration user ca use their details to login. If the person who applies for pass is a student then the details are forwarded to the school admin and if the school admin approves it then admin will approve the applicant. Bus conductor or ticker checker can know the details about the bus pass by just scanning through their device .The role of school admin is introduced to decrease the work of admin and avoid duplicate pass users.
Stress-Strain Behaviour of Standard and High Strength Concrete
Authors:   Currently Pursuing Masters in structural engineering from Chandigarh university (CU), Mohali, Punjab, India., Sudheer* Bittla , Chand Jagdish ,   Bachelor’s Degree in Civil Engineering, Master’s Degree in Structural Engineering and Pursuing Ph.D. Degree from the National Institute of Technology, Kurukshetra.
Published: May 2020

This Documentation presents the behaviour of standard and high strength concrete with stress-strain analysis. Generally, many types of research have been performed to find the stress-strain behaviour with different methods such as using UTM machines and other analytical works, this research paper includes the equipment (i.e. Compressometer) which is used to find the strain with respect to stress. To understand and predict the performance of any mix designed concrete, the parameters such as Modulus of Elasticity, ultimate strength, strain are key options. The strain is calculated by Compressometer gauge value to the gauge length and clear graphs are plotted for analysis. High strength concrete is the concrete with greater load resistance obtained by reducing water-cement ratio and adding admixtures and superplasticizers. This paper shows the different trial error methods to obtain high strength concrete. Normally Concrete gave 99% of strength in 28 days (i.e. 60.9 N/mm2), it may increase its strength beyond the target mean strength by further curing periods, so investigation beyond 28 days (i.e. 56days and 90 days) gave us the satisfactory results with 73.06 N/mm2 and 76.01 N/mm2.
Behavior of Asymmetric Cable Stayed Bridge for Long Span
Authors:   PG II-year student, Department of civil Engineering, PSNA College of Engineering & Technology, Dindigul, India., Vianny X* Joseph , S Vimala ,   Professor, Department of civil Engineering, PSNA College of Engineering & Technology, Dindigul, India., S Swathini ,   Assistant Professor, Department of civil Engineering, PSNA College of Engineering & Technology, Dindigul, India.
Published: May 2020

In the recent years cable stayed bridges have received more attention than any other bridges. As one of the most competitive bridge in modern times, the cable stayed bridge is ideally suitable for long span. Asymmetric cable stayed bridges are the upgrade of conventional cable stayed bridges. Analytical investigation is an important in the study of asymmetric cable stayed bridge. The response of the bridge deck under moving traffic load is very important in the analysis process. Even the slightest deflection may result in the collapse of the bridge structure. Recent reports states that the cable stayed bridges are subjected to wave like vibrations when subjected to moving loads. So the bridge must be analyzed in such a way that its deflections are well under the permissible limits. The parameters like displacements, shear forces, bending moments and percentage of reinforcements were studied in long span asymmetric cable stayed bridge. The asymmetric cable bridge was modeled using SAP2000 software.
Health Care and Internet of Things
Authors:   Amity Institute of Information Technology, Amity University Uttar Pradesh, Noida, India., Gupta* Neetu
Published: May 2020

Internet of Things (IoT), a term invented by Kevin Aston refers to a network of connected objects across the globe through some internet networks, software applications, electronic devices, and sensors which are capable of collecting and exchanging data among themselves. In the decade to come the impact of IoT will be seen in all possible verticals of human and societal development like transport, education, retail, health, finance etc. Health and medical progress is prime vertical of human development and symbol of a developed, strong and successful nation. This paper is an attempt to identify and discuss the possible roles of IoT with respect to solve certain important problems faced by health sector. This paper is an attempt to put together a survey of widely known health issues and their related IoT solutions with an aim to reduce them. This paper is written with a thought to serve as a source of information to researchers, student, and developers to implement solutions, frameworks, technologies and projects exploiting IoT for health sector.
Deep Learning based Brain Tumor Detection
Authors:   IT Dept, MVGR College of Engg, Vizianagaram, AP, INDIA, Bondalapati* Anjanadevi , Bindu V Hima ,   IT Dept,MVGR,Vzm,AP, S Nitish ,   IT Dept,MVGR,Vzm,AP, M Yunesha ,   IT Dept,MVGR, Vzm,AP
Published: May 2020

In current technology era, to sustain and provide healthy life to humans it is necessary to detect the diseases in early stages. We are focused on Brain tumour detection process, it is very challenging task in medical image processing. Through early diagnosis of brain, we can improve treatment possibilities and increase the survival rate of the patients. Recently, deep learning plays a major role in computer vision, using deep learning techniques to reduction of human judgements in the process of diagnosis. Proposed model is efficient than traditional model and provides best accuracy values. The experimental results are clearly showing that, the proposed model outperforms in the detection of brain tumour images.
Safety Monitoring System for Coal Mine Workers
Authors:   Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India., Gangadhar* Kantipudi Rama , Shankar C V Guna ,   Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India., Ram C H Monik ,   Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India., CV Ravi Kumar ,   School of Electronics Engineering, Vellore Institute of Technology, Assistant Professor Sr. Grade, Bagadi Kalapraveen ,   School of Electronics Engineering, Vellore Institute of Technology, Associate Professor Sr.,
Published: May 2020

The coal mine operations are very risky due to high temperature and different amount of different gas compositions in air underground coalmine. Due to this, there are so many accidents taking place which leads to killing many skilled workers and laborers. This definitely need a monitoring system to sense the gas concentration and temperature. In this paper we are developing a safety monitoring system for coal mine workers with NodeMCUs and IoT. In this system, we are using two NodeMCUs as a communicating device in which one is developed as wearable device (client) which always receives the information and the second one is used to gas and temperature sensor node(server) which always sends the alert to the client if the gas concentration is more at high temperature. We are developing a wearable device with NodeMCU which always gets the alert messages/alert buzzer and information regarding gas concentration and temperature. This system is a combined action of the temperature, humidity, some gas sensors and IOT module to detect all the information in the coal mine and log all the data into cloud and communicate with the workers wearable device to send the information(alert messages if any accident is about to happen) continuously.
A Conceptual Design Model to Groundwater Recharge in Dense Urban Area Roads
Authors:   Department of Civil Engineering, Medi-Caps University, Indore (M.P.), India., Malviya* Aakash , Dwivedi Abhishek ,   Department of Civil Engineering, Medi-Caps University, Indore (M.P.), India., Manore Aditya ,   Department of Civil Engineering, Medi-Caps University, Indore (M.P.), India, Bamniya Amit ,   Department of Civil Engineering, Medi-Caps University, Indore (M. P.), India., Sinha Ajay ,   Assistant Professor, Department of Civil Engineering, Medi-Caps University, Indore, India.
Published: May 2020

As increasing of Urbanization, the soil surface which is permeable through which groundwater recharge by infiltration can occur is reducing, this is resulting in much less groundwater recharge and greatly increased surface runoff. This Paper deals with the increasing of groundwater table utilizing of road runoff or stormwater through artificial recharge techniques. Infiltration devices that redirect surface runoff to the subsurface environment should be adopted, the infiltration system like infiltration trenches can be used to increase the groundwater table and the use of infiltration trenches has proven to be useful to reduce runoff in urban surface. By making continuous infiltration trenches in an area below the footpath and providing a filter media in it which consists of different layers of gravel and sand. Due to which filtered water goes inside the earth's surface and infiltration increases and the maximum portion of surface runoff go inside subsurface and stormwater management can be managed by using this technique. The methodology, applications, design & calculations are presented and discussed.