bluuebunny/crossref_metadata_2025 huggingface dataset:
FARINHA DE INSETOS NA NUTRIÇÃO DE MONOGÁSTRICOS
Authors: Reis Túlio Leite , Dias Ana Carla Chaves
Published: May 2020

Visto a crescente busca por alternativas para alimentação humana e animal, a utilização de uma fonte proteica proveniente da criação de insetos em larga escala, aparece como uma perspectiva atraente atualmente. A criação de insetos, devido à natureza das espécies, apresenta algumas vantagens que reforçam ainda mais sua utilização, como alimentar-se de uma gama de subprodutos da indústria, não competir com o uso de recursos alimentares, possuir alto valor nutricional, além de, quando consumidos, atuarem no desenvolvimento da microbiota benéfica e como imuno-moduladores. Alguns estudos destacam a utilização de farinhas de diferentes insetos em substituição a farinhas de origem animal e ao farelo de soja na alimentação de animais monogástricos, que além de fornecer um perfil de aminoácidos semelhante e/ou superior à esses ingredientes convencionais, podem reduzir o custo final da ração consumidas pela espécies monogástricas de interesse zootécnico, impactando significativamente no sistema produtivo. Alguns pontos acerca a viabilidade de produção dessas farinhas na utilização como fonte de proteína na alimentação animal merece destaque, sendo assim, o presente trabalho busca reunir as aplicações e resultados recentes obtidos com a utilização de farinha de insetos na alimentação e nutrição dos animais monogástricos, seus impactos no desempenho, saúde, além da qualidade dos produtos originados.
Tensile and bending properties of flexible auxetic re-entrant honeycomb
structures made by 3D printing
Authors: ZHAOQUN DU , QIAOLI XU , DONGMING ZHENG , QICAI WANG
Published: May 2020

The main content dealt with in the paper was to present a flexible auxetic re-entrant honeycomb fabric, which was made
of a formulated thermoplastic polyurethane material PolyFlex with super elastic properties by 3D printing technology.
The auxetic fabric shows perpendicular expansion under tension and is flexible. So, its special property makes auxetic
fabric have great potential in future functional materials. Wherein, the honeycomb cell angle is a key factor affecting
Poisson’s ratio of fabric. In this paper, flexible re-entrant honeycomb structures with different cell angle are manufac-
tured using 3D printing technology. The shape change under tension of two directions were investigated. The re-entrant
honeycomb structures presented negative Poisson’s ratio immediately when stretched. The shape change consisted of
three stages in X 1 -direction, the same as that in X 2 -direction. A noticeable discovery was that the shape change in
X 1 -direction posed an out-plane change after the first shape change stage, while the shape change in X 2 -direction
always remained in-plane in the whole tension process. The tensile modulus tested was consistent with the tendency of
theoretical analysis of previous work. The bending rigidities were tested and similar to fabrics of poplin and denim. The
results indicate that the auxetic fabric is suitable for special clothing.
Degradation behaviour in vitro of poly L-lactic acid (PLLA)/polycaprolactone (PCL) masterbatch
Authors: LIU SHU-QIANG , Wang Kai-Wen , Yang Ya-Ru , Li Hui-Min , Wu Gai-Hong , Yu Juan-Juan , Liu Ming-Fang , Zang Yao , Wang Peng , Zhang Jie , Xu An , Yin Xiao-Long , Li Fu , Zhang Man
Published: May 2020

In order to prepare the absorbable medical textile material with different degradation rates, two biopolymers of poly L-lactic acid (PLLA) and polycaprolactone (PCL) with different degradation rates, were mixed in different proportions, and made into PLLA/PCL masterbatch. The experiment of degradation in vitro was conducted to reveal the degradation behaviour of PLLA/PCL masterbatch, and the characteristics of masterbatch in degradation, such as surface morphol- ogy, chemical structure, crystallization, mass loss and strength, were analyzed. The results indicated that the surface of PLLA/PCL masterbatch was etched in degradation, and the larger proportion of PCL, the less etching and slower degra- dation. The ester bonds were hydrolyzed firstly, and the crystallization region in PLLA/PCL masterbatch was destroyed gradually to form a non-crystalline region in degradation. The degradation rate of PLLA in composite masterbatch was faster than that of PCL. With increasing of PCL involved in masterbatch, the mass loss rate of masterbatch in degrada- tion decreased. In addition, the more PCL involved in composite masterbatch, the lower breaking strength.
Middle Test Ilmu Sejarah dan Pendidikan IPS. Yanuar Susilo Indarwanto. 1910128210016. Pendidikan IPS 2019, A1.
Authors: Indarwanto Yanuar Susilo
Published: May 2020

Pada kertas ini. Saya menjabarkan beberapa fakta terkait sejarah Pendidikan di Indonesia, dari masa Kerajaan Hindu-Buddha, Penyebaran Islam sampai Era Reformasi. Saya juga menyajikan beberapa konsep terkait sejarah Pendidikan tersebut yang kemudian dihubungkan pada materi pembelajaran di SMP.
Midtest Ilmu Sejarah dan Pendidikan IPS Nurhalisa (1910128220005)
Authors: Nurhalisa
Published: May 2020

Untuk memenuhi persyaratan mengikuti ujian tengah semester Ilmu Sejarah dan Pendidikan IPS
JUSTIFICATION OF AIR FLOW SPEED IN THE OXIDATION AREA OF A GASIFIER IN CASE OF STRAW PELLETS USING
Authors: Kukharets Savelii , Golub Gennadii , Skydan Oleh , Yarosh Yaroslav , Kukharets Mikolai
Published: May 2020

On the basis of the Bernoulli equation the dependence for determining the air flow rate in the oxidation zone of the gasifier was obtained. The obtained dependence makes it possible to theoretically establish the average speed and diameter of the air flow depending on the flow length. To check and clarify the obtained dependence for determining the air flow rate in the oxidation zone, the value of the total loss coefficient of the air flow rate in the volume of straw pellets, which are used as fuel for the gasifier, is experimentally established.
A Framework for Object Detection using Deep-Reinforcement Machine Learning
Authors:   Assistant Professor, Department of Computer Science and Engineering, Govt. Polytechnic College, Bhopal, (M.P), India., Tiwari* Saurabh , Veenadhari Dr. S. ,   Assistant Professor, Department of Computer Engineering, Rabindranath Tagore University, Bhopal, (M.P.), India.
Published: May 2020

Machine learning area enable the utilization of Deep learning algorithm and neural networks (DNNs) with Reinforcement Learning. Reinforcement learning and DL both is region of AI, it’s an efficient tool towards structuring artificially intelligent systems and solving sequential deciding problems. Reinforcement learning (RL) deals with the history of moves; Reinforcement learning problems are often resolve by an agent often denoted as (A) it has privilege to make decisions during a situation to optimize a given problem by collective rewards. Ability to structure sizable amount of attributes make deep learning an efficient tool for unstructured data. Comparing multiple deep learning algorithms may be a major issue thanks to the character of the training process and therefore the narrow scope of datasets tested in algorithmic prisons. Our research proposed a framework which exposed that reinforcement learning techniques in combination with Deep learning techniques learn functional representations for sorting problems with high dimensional unprocessed data. The faster RCNN model typically founds objects in faster way saving resources like computation, processing, and storage. But still object detection technique typically require high computation power and large memory and processor building it hard to run on resource constrained devices (RCD) for detecting an object during real time without an efficient and high computing machine.
Mechanical Properties of Strengthened RC Beams using Steel Plates
Authors:   Professor in Civil Engineering department of Sethu institute of Technology (Autonomous),Kariapatti, jayaprakash* Dr.P.Oliver , Sudarshan Mr. P. ,   Assistant Professor , Civil Engineering department, Sethu institute of Technology (Autonomous), Kariapatti., Hemalatha Ms.C. ,   Assistant Professor,Civil Engineering department,SRM Institute of Science and Technology (formerly known as SRM University), Ramapuram Campus.
Published: May 2020

The focus of this analysis is the review of steel plate strengthened RC beams using Single row and Stagger row bolt arrangements and to compare the bonding behaviour of different bolts arrangement under flexure. Also, to investigate the behaviour, load bearing capacity and the deflection for control and steel plate bonded beams. This research is constrained by FEM analysis utilizing ANSYS to the actions of standard RC Beam and RC beam steel plate associated.
Development of Text to Speech Conversion System for Low Vision and Blind People
Authors:   Assistant Professor, Department of Electronics and Communication Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India., Devi* M. Rama , Sree Dr. L. Padma ,   Professor, Department of Electronics and Communication Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India., Vineetha Ms. P. ,   Department of Electronics and Communication Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.
Published: May 2020

Around the world 285 million individuals are found to be visually challenged out of 7.4 billion populations found in a survey made by World Health Organization. These people face many problems but the major problem is reading. It is observed that they cannot read the text which is not written in braille. In the thought process of supporting them, here is a framework proposed for the visually challenged people which can perform content recognition and produce voice yield. This can assist the visually challenged people with reading any printed content and convey in speech output. A camera is utilized to capture the content from the printed content and the captured picture experiences progression of picture pre-preprocessing steps to get the content of the picture and expels the background. Characters are identified utilizing Tesseract-Optical Character recognition (OCR). The identified script is then changed into voice, utilizing open source speech synthesizer (TTS). Finally, the speech output is heard by the earphones.
Processing the Cardio Signals of Wavelet Function
Authors:   Doctor of Technical Science, Head of the department of Tashkent University of Information Technologies., H.N.* Zaynidinov , N. Yu Sharibaev ,   (DSc) Head of the department of Namangan Institute of Engineering and Technology. Namangan, Uzbekistan., Sh. S Juraev ,   Assistant of the department of Namangan Institute of Engineering and Technology. Namangan, Uzbekistan.
Published: May 2020

A method for processing and analyzing ECG signals based on wavelet transform in an electrocardiography system is proposed. The ECG spectrum is arranged in a series of Gaussian delta functions. A method of vector representation of data in binary codes is proposed. This method allows you to detect minor changes in subsequent studies.
Testing for Recommendation Method in M-Health Sports Venue Recommendation System
Authors:   Department of Informatics Engineering, Faculty of Computer Science (FILKOM), Brawijaya University, Malang, Indonesia., Dewi* Ratih Kartika , Sari Yuita Arum ,   Department of Informatics Engineering, Faculty of Computer Science (FILKOM), Brawijaya University, Malang, Indonesia., Widodo Agus Wahyu ,   Department of Informatics Engineering, Faculty of Computer Science (FILKOM), Brawijaya University, Malang, Indonesia., Astungkoro Faishal Pradipta ,   Department of Informatics Engineering, Faculty of Computer Science (FILKOM), Brawijaya University, Malang, Indonesia., Aziz Nurul Ilmi Muhlisah ,   Department of Information System, Faculty of Computer Science (FILKOM), Brawijaya University, Malang, Indonesia.
Published: May 2020

Exercising can make the body produce more endorphins so people with regular exercise are more resistant to stress than those who have little physical activity. We can get a recommendation of the sport venue in search engine, but it can’t accommodate personal preference. The mobile application for sports venue recommendations (M-health) with specific attribute weighting that can accommodate user preference for a specific attribute can be implemented with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm. TOPSIS was chosen as a recommendation algorithm because it has a relatively low level of algorithm complexity, so it is suitable to apply in mobile devices. To test the recommendations that are processed with TOPSIS, correlation testing is done as an alternative test besides accuracy. In general, the system takes the user's location coordinates and then recommends a Futsal court based on location, price and the number of courts. First, the user is inquired to enter the weights for each criterion. Then the user gets a recommendation for a Futsal court recommendation according to the user's current location. If the user wants detailed information about the desired futsal location, the user can click on one of the futsal places and then the detail page will be appear. After seeing the details of the selected futsal place, users can view the map to go to the relevant sports venue from the user's current location. Testing the recommendation system was based on correlation testing to see the correlation between the recommendations built by the system compared to the user's preference choices. Correlation testing was carried out to see whether there was a relationship between the results of the TOPSIS recommendation and the user's preference of sport venue. The correlation between them shows a positive correlation with a value of 0.770769231.
Control the Activity of Erwinia Amylovora Bacterium by Magnetic Field
Authors:   Biophysics Department, Faculty of Science, Cairo University, Egypt., Mohamad* Ebtesam A. , Balabel Naglaa Moussa ,   Plant Pathology Research Institute, Agric. Res. Center, Egypt.
Published: May 2020

We study the effect of promoting low magnetic field exposure on antimicrobial activity against Erwinia amylovora (E. Amylovora) bacterium. For this purpose, we treated E. amylovora at 28°C with two intensities (0.2T and 0.5T) of the magnetic field for one hour to see the intensity of bacterial growth inhibition. Bacterial growth was measured in experimental samples. The results indicate that exposure to E. amylovora to 0.2T and 0.5T for 1 hour reduced bacterial growth. Dielectric relaxation studies of treated and untreated alive bacterium showed changes of the surface charge distribution of the bacterium which indicates changes in the receptor properties and hence cell communications. The study showed bacteria treated with the magnetic field which was exposed for an hour, adjusted its cellular activity, slowing the rate of growth and affecting microbial pathogenicity. The effect was higher at 0.5 T than 0.2 T. We concluded that magnetic field formation is a promising technique for treating this type of bacteria.
Secured Access and Security Issues of Maintenance for Cloud Database
Authors:   Department of Computer Science & Engg, Dr. BAMU, Aurangabad, India., Khidse* Swati Vithal , Lomte Dr. Santosh S. ,   Radhai Mahavidhyalaya, Aurangabad, India.
Published: May 2020

Users are using the cloud database services for storing there important data in order to utilized cloud services. Data confidentiality remains one of the main concerns and the major barrier to the development of cloud services. But at the same time users also think about “whether there data is in secured hands and how it is protected from the outside world?” In order to make sure users that there data is in safe hands, cloud database are using more secured mechanism for accessing the cloud database. In order to achieve the goal of security we are using AES and honey encryption (HE) algorithm for strong authorization. Before authorization we need to have authentication of the users. We are using keystroke dynamics as a biometrics authentication and second one as color code authentication. Cloud databases should also be properly maintained from security point of view. For the different levels of the cloud database we have find out the security issues which provide help in maintenance of cloud database. By implementing these issues the security of the cloud database will be more increased.
Liquefaction Hazard Mapping Based on LPI (Liquefaction Potential Index) At Jepara, Indonesia
Authors:   Civil Engineering Department, Universitas Negeri Semarang, Semarang, Indonesia., Kusumawardani* Rini , Rais Muhammad Zain ,   department, Civil Engineering Department, Universitas Negeri Semarang, Semarang, Indonesia.
Published: May 2020

Liquefaction is a phenomenon of loss of strength of the soil layers caused by earthquake vibration. Liquefaction causes the soil to be in a liquid – like state, especially on sandy soil. Analysis of liquefaction potential was performed by using the semi-empirical method by calculating the Safety Factor (SF) based on Standard penetration Test (SPT) and Cone Penetration test (CPT) data. After the SF value was obtained, then the Liquefaction Potential Index (LPI) was calculated to determine the level of potential liquefaction in the study area to further produce a liquefaction potential map based on the liquefaction potential index. Based on the results of the calculation of the LPI, the level of liquefaction potential in the study area was very low when the earthquake magnitude is 5 Mw because the Liquefaction Potential Index (LPI) = 0. When the earthquake magnitude is 6 Mw, 7 Mw, 8 Mw, and 9 Mw, most of the investigation area has low potential level and there are some points that a high potential level.
Age Monitoring and Fault Detection using Iot
Authors:   Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India., Madhusudanan* Dr.J. , Deepika R. ,   Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India., Mithra G. ,   Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India., Suvathy S. ,   Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
Published: May 2020

The Internet of Things (IoT) has a monumental development in recent trends of commercial, environmental, and medical applications. The motors are considered the most important device in industries as of today. Hence, it is necessary to detect the defects of the motor and to increase the attention of defect detection by using different kinds of technologies like IoT. The advantages of a motor is that it is a simple rotor construction resulting in low value, ruggedness, and has low maintenance needs. Here, we present a condition observation with fault detection system for motor supported Internet of Things (IoT) for safe and economic electronic communication in industrial fields and we measure the aging of the motor by this system. To develop a motor observation system for detecting the defects and to calculate the aging (i.e) Lifespan Prediction of the motors is the key concept of this project.
Dementia Prognostication using Machine Learning
Authors:   Department of Computer Science and Engineering at Faculty of Engineering and Technology, SRM Institute of Science and Technology (SRM IST), Deemed to be University, Kattankulathur, Chennai, India., Pandey* Mr. Himanshu , Kishor Mr. Kundan ,   Department of Computer Science and Engineering at Faculty of Engineering and Technology, SRM Institute of Science and Technology (SRM IST), Deemed to be University, Kattankulathur, Chennai, India., Shankar Mr. K. C. Prabu ,   Assistant Professor (O.G), Department of Computer Science and Engineering, SRM Institute of Science and Technology (SRM IST), Deemed to be University, Kattankulathur, Chennai, India.
Published: May 2020

Since the introduction of Machine Learning in the field of disease analysis and diagnosis, it has been revolutionized the industry by a big margin. And as a result, many frameworks for disease prognostics have been developed. This paper focuses on the analysis of three different machine learning algorithms – Neural network, Naïve bayes and SVM on dementia. While the paper focuses more on comparison of the three algorithms, we also try to find out about the important features and causes related to dementia prognostication. Dementia is a severe neurological disease which renders a person unable to use memory and logic if not treated at the early stage so a correct implementation of fast machine learning algorithm may increase the chances of successful treatment. Analysis of the three algorithms will provide algorithm pathway to do further research and create a more complex system for disease prognostication.
Relative Perusal of ML Classifiers for Depression Detection in Twitter Feeds
Authors:   Computer Science Engineering, SRM institute of Science and Technology, Chennai, India., Sahni* Piyusha , Subalalitha Dr. C.N. ,   Computer Science Engineering, SRM institute of Science and Technology, Chennai, India.
Published: May 2020

Depression is viewed as a significant cause of suicidal inclination. It affects the style of writing manifested in the text. Analyzing linguistic markers in social media posts help in recognizing and classifying whether thoughts or sentiments expressed in source text correspond to a depressed user. A large amount of emotion-rich data generated by social media platforms is in the form of tweets, feeds, blog posts, etc. Analysis of this user- generated data helps in understanding an individual’s state of mind. The main focus is to scrutinize the posts of users of twitter to analyze the depression attitudes of users. Natural Language Processing and ML techniques like MNB, TF-IDF, SVC, SGD, and LR have been utilized for training the data set and estimating the efficacy of our proffered approach. Firstly, the words are reduced into their morphological form during pre-processing. Then, a depression analysis model is built based on the suggested method and various features of depressed users derived from psychological research. Tweets with the hashtags #depression are classified based on their content and their relative tendencies towards depression. Tweets related to social distance, workplace stress, peer pressure, family problems, personal weakness, failure, mocking, and self-stigma helped in depression detection. The results have been rendered using the key evaluation measures, which include accuracy, precision, and F1-score. The results of the study may be beneficial in assisting mental health awareness and supporting organizations to provide data about resources and counter common depression.
A Three Stage Summarization Framework for Product Recommendation from Opinion Tweets
Authors:   Department of Computer Science and Engineering, Raghu Institute of Technology, Visakhapatnam, India, Adinarayana* Salina , Ilavarasan E ,   Department of Computer Science Engineering, Pondicherry Engineering College, Pondicherry, India
Published: May 2020

This paper presents a three stage framework for feature -based rank of opinions around target product and features in a collection of product review tweets as twitter corpus. The main stages of the framework are discussed and presented the analysis of the sentiment with respect to features of the digital camera sales in ecommerce sites.
Mining Frequent Itemsets over Uncertain Database using Matrix
Authors:   (Pursuing M. Tech) Computer Science & Engineering, Jamia Hamdard University, New Delhi, India., Sharma* Deepak Kumar , Wazir Dr. Samar ,   Computer Science & Engineering, Jamia Hamdard University, New Delhi, India., Nafis Md. Tabrez ,   Computer Science & Engineering, Jamia Hamdard University, New Delhi, India., Kumar Amit ,   (Pursuing M. Tech) Computer Science & Engineering, Jamia Hamdard University, New Delhi, India.
Published: May 2020

In the area of data mining for finding frequent itemset from huge database, there exist a lot of algorithms, out of all Apriori algorithm is the base of all algorithms. In Uapriori algorithm each items existential probability is examined with a given support count, if it is greater or equal then these items are known as frequent items, otherwise these are known as infrequent itemsets. In this paper matrix technology has been introduced over Uapriori algorithm which reduces execution time and computational complexity for finding frequent itemset from uncertain transactional database. In the modern era, volume of data is increasing exponentially and highly optimized algorithm is needed for processing such a large amount of data in less time. The proposed algorithm can be used in the field of data mining for retrieving frequent itemset from a large volume of database by taking very less computation complexity.
Punching Shear Performance of Steel Fiber Reinforced Geopolymer Concrete Slabs
Authors:   Dept. of Civil Engg, GNDEC Bidar, Karnataka, India, Kumar* Manoj , Patil Suresh .G. ,   Dept. of Civil Engg, PDACE Kalburgi, Karnataka, India
Published: May 2020

This article provides performance of two way slabs under punching shear. The two way slabs are cast with dimensions of 600x600x75mm and to cast the slabs geopolymer concrete along with micro (13mm length (small fiber)) and macro steel fibers (50mm length (big fibers)) were used. Total four mixes were taken to the present study and for each mix three slabs were cast. The first mix without fibers, second mix with small fiber, the third mix with big fiber and fourth mix with small and big fibers are taken to the present study. All the slabs were tested under single point concentrated load and load is placed at the center of the slab. From the experimental investigation it is obvious that, the slab with combination of small and big fibers showed superior performance among all and it showed 157.1% higher strength carrying capacity than the slab without fibers.
Robust Intelligent Malware Detection using Light GBM Algorithm
Authors:   College of Information Technology, Mutah University, Karak, Jordan, Abbadi* Mohammad A. , Al-Bustanji Ahmed M. ,   College of Information Technology, Mu’tah University, Karak, Jordan, Al-kasassbeh Mouhammd ,   College of Information Technology, Mutah University, Karak, Jordan.
Published: May 2020

Attackers take advantage of every second that the anti- vendor delays identifying the attacking malware signature and to provide notifications. In addition, the longer the detection period delayed, the greater the damage to the host device. To put it another way, the lack of ability to detect attacks early complicates the problem and rises serious harm. Consequently, this research intends to develop a knowledgeable anti-malware system capable of immediately detecting and terminating malware actions, rather than waiting for anti-malware updates. The research concentrates in its scope on the detection of malware on the Internet of Things (IoT), based on Machine Learning (ML) techniques. A latest open source ML algorithm called the Light Gradient Boosting Algorithm (LightGBM) has been used to develop our instant host and network layer anti-malware approach without any human intervention. For examination reasons, the suggested approach serves the LightGBM machine learning algorithm to adopt datasets obtained from real IoT devices using the LightGBM machine learning algorithm. The results indicate a successful method to detecting and classifying high accuracy malware at both network and host levels based on the Holdout method of cross-validation. Additionally, this result is better than many prior related studies which used different algorithms of Machine Learning and Deep Learning. Though, an old study which used the same dataset was the best among the literature. However, it still slightly less than what this study achieved, besides the complexity which deep learning adds. Lastly, the results show the ability of the proposed approach to detect IoT botnet attacks fast, which is a vital feature to end botnet activity before spreading to any new network device.
Techniques of Image Processing on Dental Images and Identification of Challenges
Authors:   Dept. of Computer Engineering & Technology, Guru NanakDevUniversity,Amritsar,India, Kaur* Shubhreet , Marwaha Chetan ,   Dept. of Computer Engineering & Technology, Guru Nanak Dev University,Amritsar,India
Published: May 2020

Digital image processing is a boon in medical image processing. Oral hygiene is considered as one of the main aspect of the health. So, it is important to determine the dental diseases and cure them. This leads to use of technologies that help in detecting the diseases. Dental imaging technologies have seen a rapid advancement over a century. The image capturing technologies have evolved from analog films to 2D imaging and recent 3D imaging technologies are now in vogue. Detection of dental diseases by using dental imaging techniques still possess some challenges, inappropriate use of techniques can lead to undesired results. In this paper we will look at various dental imaging technologies that are used for detection of dental diseases and the associated challenges.
Exact Damage Identification of Plate-Like Structure using Mode Shapes
Authors:   Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India, Chinka* Siva Sankara Babu , Kumari G. Jyosthana Surya ,   Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India., Sahithi M. Guna ,   Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India., Mahesh S. ,   Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India., Mohan M. R. Krishna ,   Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India
Published: May 2020

In this paper, Mode Shape Based Damaged Detection Technique (MSBDT) has been applied for plate-like structures to recognize the damage location and quantify the damage length. Two alternative approaches are exclusively used to extract damage indexes through mode shapes of undamaged plate (i.e. reference data) and damaged plate. The absolute difference of mode shapes used in first approach and mode shape curvatures used in second approach of undamaged and damaged plates. Healthy Aluminium plate was tested in the laboratory for accurate material properties and considered three different damage cases by changing the crack orientation and location for successfully implementation of above approaches. In order to make certain the sensitivity of the proposed approaches, natural frequencies and corresponding mode shapes for first six modes in transverse direction of a plate are obtained by Finite Element Modal Analysis (FEMA) in ANSYS 18.1 and validated by Experimental Modal Analysis (EMA) in virtual instrumentation environment using LabView software.
An Experimental Research on Prognosis of Compressive Strength of Concrete by using Sensor
Authors:   Assistant Professor, Department of Civil Engineering, Sona College of Technology, Salem, Tamil Nadu, India., P* Ashokkumar , D Dr Jegatheeswaran ,   Professor, Department of Civil Engineering, Sona College of Technology, Salem, Tamil Nadu, India., Raj T Karthick ,   Structural Engineering, Department of Civil Engineering, Sona College of Technology, Salem, Tamil Nadu, India., R Iyyappan ,   Structural Engineering, Department of Civil Engineering, Sona College of Technology, Salem, Tamil Nadu, India.
Published: May 2020

now a days there are many methods available to monitor the health condition of the structures. The need of monitoring of health of structures also serves as important factor because of lower quality of materials availability now a days. In this project the temperature sensor is embedded inside the concrete specimen to monitor the variation in temperature of the concrete due to process of hydration. Temperature is one of the major factor that determines the compression strength of concrete structures. The maturity in the temperature data can be monitored by applying this concept in real time application in field. The Internet of Things (IOT) technique is used to send and store the temperature data in the cloud server. With help of the data that stored in the cloud server maturity index formula is used to calculate the temperature time factor with help of which the strength of the structure is indirectly correlated and can be found. In case of the large scale projects there are various methods being adopted to find the strength attained in the concrete element in site such that by doing the cube destructive testing, this concept can also been adopted to ensure the strength attainment in concrete. Hence more than one method was been adopted to ensure the strength which allows the engineers to take the decision without any confusion
Clustering of Multidimensional Big Data using Enhanced K-Mean Algorithm
Authors:   currently pursuing Ph.D. degree program in computer applications in BU Bhopal, Kushwaha* Jagdish , Jaloree Dr.(Prof) Shailesh ,   Professor department of computer science & applied mathematics SATI VIDISHA(MP), Thakur Dr (Prof) R.S. ,   Professor and HOD department of mathematics, Bioinformatics & Computer Application MANIT Bhopal(MP)
Published: May 2020

One of the basic issues with K-means clustering is that it just merges to nearby optimum which is simpler than comprehending for worldwide optima however can prompt less ideal union. This is especially valid for enormous information as the underlying focuses assume a significant job on the exhibition of this calculation. The paper proposes a novel K-means clustering algorithm which presents a technique to discover advanced area of beginning focuses and introductory number of bunches. This outcome in getting last arrangement of bunches to meet internationally, encouraging quick and exact grouping over enormous datasets. Distributed computing executes huge scope and complex processing. A lot of information are economically and proficiently broke down by utilizing parallelism method. To get parallelism and versatile registering, using Amazon Web Services with R Studio Flexible Process Cloud occasion which partitions the activity among different hubs. The proposed system presents an exceptionally serious exhibition taking significant less calculation time and financially savvy. It very well may be contrasted with complex Hadoop Disseminated Record Framework and MapReduce A significant disadvantage with Apache Hadoop is its MapReduce worldview that is exceptionally open when a procedure emphasizes number of times. R performs execution inside memory which is quicker and less mind boggling when contrasted with Read/Keep in touch with the circle over and again in MapReduce. The examination work is mimicked on some well known genuine datasets from UCI AI storehouse. The outcomes affirm that the proposed work models a vigorous and adaptable procedure for grouping huge datasets.
GFDM Based Error Correcting Codes in Underwater Acoustic Channel
Authors:   Dept of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India., Jada* Lingaiah , Shiyamala Dr. S. ,   Professor, Dept of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India..
Published: May 2020

In this paper underwater acoustic communication system based on Coded GFDM (CGFDM) is simulated and the performances are analyzed using different error-correcting codes. And also the parameter selection principle of error-correcting code is evaluated. To build practical and high performance CGFDM system the error-correcting codes from low to relatively high computational complexity, such as, convolutional code, RS code, serial concatenated code of RS code plus convo1utional code and turbo code is evaluated. The parameters of code rate, code length, generation polynomial, interleaving and interleaving matrix length are all considered and analyzed elaborately. Finally, the simulating experiments proved that there are some relative1y low complexities systems based on serial concatenated codes of RS code plus convolutional code that are able to gain better performance as the systems based on turbo code.
Analysis towards Enhanced Big Data Clustering Technique
Authors:   currently pursuing Ph.D. degree program in computer applications in BU Bhopal, Kushwaha* Jagdish , Jaloree Dr.(Prof) Shailesh ,   Professor department of computer science & applied mathematics SATI VIDISHA(MP),, THAKUR Dr (Prof) R.S. ,   Professor and Department of mathematics, Bioinformatics & Computer Application MANIT Bhopal(MP)
Published: May 2020

The expedient exuding innovation during recent year in the zone of data innovation is "Huge Data". Grouping is one of the significant assignment in wide scope of areas dealing with gigantic information. This study presents the different bunching approaches received for the viable enormous information grouping. Therefore, this survey article gives the audit of various research papers proposing different strategies embraced for the successful huge information grouping, similar to K-implies bunching, Variant of K-implies bunching, Fuzzy C-implies grouping, Possibilistic C-implies bunching, Collaborative separating and Optimization based bunching. In addition, an elaborative examination is finished by concerning the usage instruments utilized, datasets used and the received system for bunching of huge information. In this manner a successful plan must be created to outperform present systems for remarkable administration of enormous information. In the long run the examination issues and holes of different huge information bunching strategies are introduced for profiting the analysts for initiation towards better large information grouping.
A Road Mishaps Analysis using Decision Tree and Random Forest Algorithms
Authors:   Assistant Professor, Department of ME CSE, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India, Nandhini* S. , Bindu V. Hima ,   Student, Department of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India., Yadav Sanjit ,   Student, Department of CSE, SRM Institute of Technology, Ramapuram, Chennai, Tamil Nadu, India., Singh Rajan ,   Student, Department of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India.
Published: May 2020

AI (ML) is the investigation of calculations and factual models that PC frameworks use to play out a particular activity without utilizing guidelines and depending on designs. It is communicated as subset of man-made brainpower. In this, the sample data is split into test set and the training set. Major drawback for the deaths in world is recorded by the road accidents. Most of the deaths are occurred in the middle-income countries. These studies result in finding the major factors for road accidents using decision tree and random forests. Decision tree is a choice help device that is a like a tree model which contains just control explanations. Random forest corrects the decision tree for overfitting to their training set. In this, the decision tree and the random forest algorithms are used to find the severity and the factors for the road-accidents using driver’s personal information. Results conclude that the possibilities for the road accidents using the machine learning algorithms.
Verification the Related Data Base by the Layered Radial-Basis Neural Network
Authors:   Doctor of Technical Sciences, Professor, Department of Information processing and control systems, Tashkent State Technical University, Tashkent, Uzbekistan., Khakimovich* Siddikov Isomiddin , Babayevich Sadikov Saidkamol ,   researcher of TUIT, Tashkent, Uzbekistan.
Published: May 2020

The verification method of the information in the related data bases by the theory of layered radial-basis neural networks given in this article. The method consists of three levels: clustering the data by Kohonen network, learning and usage of radial-basis neuron network, marking the reliability of the rows in the table of data base. The software worked out by the invers method in the basis of radial-neuron basis. The suggested data base by the method of verification gives opportunity to work out the models of integrated informational systems, algorithms and software.
Effect of Condenser Length on Performance of Water Cooling Refrigeration System Cum Air Cooler
Authors:   Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India, Chinka* Siva Sankara Babu , Ram G Abhi ,   Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India., K Srinu ,   Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India., Raj G Prudvi ,   Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India., Shaik Nuruddin ,   Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India
Published: May 2020

Now a days Air conditioning system has become a need for everyone to feel comfort in hot and humid condition and everyone feels comfortable to drink chilled water for quenching the thirst of the people. According to American Society of Heating, Refrigerating and Air conditioning Engineers in short ASHRAE Human comfort is defined as the condition of mind which expresses satisfaction with surrounding air. In this project, we developed the water cooling refrigerator and air cooling system by combining both the systems through which water is chilled by an eco-friendly refrigerant R-134a and then the air is cooled by this chilled water. Performance analysis of the water cooling refrigeration system was done and analyzed with varying condenser length. By combining these both systems we can reduce the compressor work, cost, save the electrical energy and environment too.
Design of a Low Latency and High Throughput Packet Classification Module on FPGA Platform
Authors:   Research scholar, Department of Electronics & Communication Engineering, TOCE, Bengaluru, India., P* Anita , Devi Dr. Manju ,   Professor & Head, Department of Electronics & Communication Engineering, TOCE, Bengaluru, India
Published: May 2020

The Packet classification method plays a significant role in most of the Network systems. These systems categories the incoming packets in various flows and takes suitable action based on the requirements. If the size of the network is vast and complexity will arise to perform the different operations, which affects the network performance and other constraints also. So there is the demand for high-speed packet classifiers to reduce the network complexity and improve the network performance. In this article, The Bit vector Packet classifier (BV-PC) Module is designed to improve the network system performance and overcome the existing limitation of Packet classification approaches on FPGA. The BV-PC Module contains Packet generation Unit (PGU) to receive the valid incoming packets, Memory Unit (MU) to store valid packets, Header Extractor Unit (HEU) extracts the IP Header address information from the Valid packets, The BV-Based Source and Destination Address (BV-SA, BV-DA) unit receives the IP packet header Information and Process with BV based rule set and aggregates the BV-SA and BV-DA outputs, Priority Encoder encodes the Highest priority BV Rule for the generation of Classified output. The BV-PC utilizes <2% Chip area (slices), works at 509.38MHz, and consumed Less 0.103 W of total Power on Artix-7 FPGA. The BV-PC operates with a latency of 5 clock cycles and works at 815.03Mpps throughput. The BV-PC is compared with existing approaches and provides Better improvements in Hardware constraints.
Detecting Long Range Objects Under Radar System using Arduino
Authors:   Assistant Professor, SRMIST Ramapuram,Chennai,Tamil Nadu, India., Nandhini* S , William J Harry ,   B.tech/CSE,SRM IST ,Rampuram,Chennai, ,Tamil Nadu, India., Gokulakrishnan M ,   B.tech/CSE,SRM IST ,Rampuram,Chennai,Tamil Nadu, India., Vijay G S ,   B.tech/CSE,SRM IST ,Rampuram,Chennai,Tamil Nadu, India.
Published: May 2020

The increase in demand for security purpose and detection of objects using the radar system has very much popular in many occasions. A new approach of finding objects under radar using Arduino controller makes it more efficient for Detection and Ranging. The Ultrasonic sensor mounted on the servo Motor produce ultrasonic sound waves ,if an object bounce off in their path it interrupts the sound waves which produce a signal to the user by displaying on computer , laptops or on any screen . This project aims at making an efficient, cheaper and more reliable way that reflects all the possible techniques that a radar consists of.
Electrically Conductive Composite based on Functionalized Carbon Nanotubes/Epoxy Resin
Authors:   Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation, Ramisovich* Garipov Ranis , Mansurovich Khantimerov Sergey ,   Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation., Muratovich Suleimanov Nail ,   Zavoisky Physical-Technical Institute (ZPhTI) - Subdivision of the «Federal Research Center «Kazan Scientific Center of the Russian Academy of Sciences», Kazan, 420029, Russian Federation.
Published: May 2020

This work is devoted to the study of the effect of carbon nanotubes functionalization on the electrical conductivity of composite materials based on them. Carbon nanotubes were functionalized by treatment in nitric acid and isopropyl alcohol. Changes in the morphology of multi-walled carbon nanotubes during liquid-phase functionalization were investigated using Auger-electron microscopy. Samples of composite material on the basis of initial and functionalized carbon nanotubes and epoxy resin were prepared and the concentration dependence of electrical conductivity using the four-probe method was studied. The study reveals the effect of functionalization in various solutions on the electrophysical properties of the obtained carbon nanotubes/epoxy composites.
Maximum Power Point Tracking of a Hybrid PV-Wind–Diesel System for Micro Grid
Authors:   M.E Student, National Institute of Technical Teachers Training & Research, Chandigarh, India, Anamika*  , Mathew Dr.Lini ,   Associate Professor, National Institute of Technical Teachers Training & Research ,Chandigarh, India
Published: May 2020

This paper proposed a hybrid system a combination of photovoltaic source and wind energy with Diesel system. The objective of the proposed work is to implement P&O mechanism on MPPT system, to implement Fuzzy Inference System based MPPT system and to implement PID based MPPT system. The simulation of the proposed Perturb and observe (P&O) and Fuzzy Logic algorithms MPPT techniques is done in MATLAB and results are compared in terms of certain parameters. It is analyzed that fuzzy Logic MPPT approach is the most efficient approach performs well as compared to existing technique.