bluuebunny/crossref_metadata_2025 huggingface dataset:
An Automated Trash Monitoring System For Waste Management Using Iot– (I-Bin)
Authors:   Kumaraguru College of Technology, Coimbatore, Tamilnadu, India, S Krithika. , J KajaMaideen ,   Kumaraguru College of Technology, Coimbatore, Tamilnadu, India, C Madan T K ,   Kumaraguru College of Technology, Coimbatore, Tamilnadu, India.
Published: November 2019

The growth of Urbanization has increased vigorously in recent years, so is the increase in waste production. Management if waste is the critical issue to be considered at this high time. This idea of i-Bin is a way to achieve this good cause. Most of the times the garbage bins or dustbins placed at public places in cities are overflowing, creating unhygienic conditions for people. Also it affects cleanliness of that place spreading a bad odour. The present system has separate section of workers allotted for monitoring and cleaning the trashes at periodic intervals. But this is not properly maintaining the sanitation and management of wastes. The concept of connecting all the trash bins to a common network will be helpful in providing a control and overview of trash bins in the city. This i-bin aims to solve the problem of trash overflow and helping the workers in cleaning the necessary bins. In this paper we have implemented the idea of automation in waste management all over the city using intelligent bin(i-Bin). i-Bin is using the new technologies like Raspberry Pi, IR distance/ultrasonic sensor, actuators and weight sensors along with an application to improvisethe mechanisms for waste collection and waste processing.
Sentimental Analysis And Lsi Similarity Measure For Efficient Page Ranking
Authors:   Associate Professor, School of Computer Science and Engineering, VIT University, Vellore, Tamilnadu, India, Anto Dr. S. , Ibrahim S.P. Siddique ,   Assistant Professor, Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India, Devi Dr. S. Siamala ,   Associate Professor, Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India
Published: November 2019

Supplementary factor to the general pagerank calculation which is utilized by Google chrome to rank sites in their web index results is tended to in this paper. These extra factors incorporate couple of ideas which expressly results to build the precision of evaluating the PageRank value. By making a decision about the likeness between the web page content with the text extracted from different site pagesresulted in topmost search using few keywords of the considered page for which the rank is to be determined by utilizing a comparability measure. It results with a worth or rate which speaks to the significance or similarity factor. Further, in a similar strategy if sentimental analysis is applied the search results of the keywords could be analysed with keywords of the page considered, it results with a Sentimental Analysed factor.In this way, one can improve and execute the Page ranking procedure which results with a superior accuracy.Hadoop Distributed File System is used to compute the page rank of input nodes. Python is chosen for parallel page rank algorithm that is executed on Hadoop.
Assessment on Recurrent Applications of Machine Learning and its Behaviours
Authors:   Dept. of Computer Science, King Khalid University, SaratAbidha Campus, KSA, Dhaya R. , Devi M. ,   Dept. of Computer Science, King Khalid University, SaratAbidha Campus, KSA, Kanthavel R ,   Dept. of Computing and Information Technology, University of Bisha, Bisha, KSA, Algarni Fahad ,   Dept. of Computing and Information Technology, University of Bisha, Bisha, KSA, Dixikha Pooja ,   Dept. of ECE, Sona College of Technology, Salem, Tamilnadu, India.
Published: November 2019

Artificial intelligence (AI) and machine learning are at the moment measured to be the unique widespread inventions. Artificial Intelligence rummage-sale to stand an unbelievable conception from science fiction, but nowadays it’s flattering a day-to-day authenticity. On the other hand, a neural network emulates the procedure of actual neurons in the brain that are parquet the track near innovations in machine learning, baptised deep learning. Machine learning can cosiness us living cheerier, improved, and additional dynamic conscious, if the power of the Deep learning concepts and its proper utilization as an industrial revolution that harness mental and cognitive ability. Currently lots of research papers deal with the Artificial Intelligence of deep learning in various real time applications that includes intelligent gaming, smart driving, and environmental protection and so on. Irrespective of all applications an intelligent decision making must be done timely to improve the accuracy in one end and simultaneously on the other end to consume energy and system efficiency. This paper presents the various applications using deep learning efficiently by better decision making and also how to visualize the problems in order to take a conclusion for better solution. The analysis of such real time problems is done by logically in the form of using artificial neurons through supervised and unsupervised data.
Smart Home Automation Controlled By Robot Using Matlab And Arduino
Authors:   Assistant Professor EEE Department, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India., Pushpavalli M. , Manikanta L.Nikhil ,   UG Student, EEE Department Sathyabama Institute of Science, and Technology Chennai, Tamilnadu, India, Sivagami P. ,   Assistant Professor EEE Department, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India., Saikumar P. ,   UG Student, EEE Department Sathyabama Institute of Science, and Technology Chennai, Tamilnadu, India., Abirami P. ,   Assistant Professor EEE Department, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India, Reddy M.Vikram ,   UG Student, EEE Department Sathyabama Institute of Science, and Technology Chennai, Tamilnadu, India
Published: November 2019

With the development of technology that made home automation a much easy and affordable. The significant enhancement in the quality of life can be improved by having a control directly or seamlessly with the home system every moment via a mobile device. Here, we present an embedded system with some electronic devices to enhance the security and the need to depend on other people is reduced so, that you need not to worry what's going at the home and you can concentrate on your work. In the case of emergency you will be informed wherever you are through the IoT and by a text message. The system takes help of the MATLAB for the processing the information. The system can also help you to prevent disaster like gas leakage. They can also do some small works which should be done in time.
Restructuring And Development Of Conventional Bike For Electric Vehicle Application
Authors:   Department of EEE, Shri Vishnu Engineering College for Women Bhimavaram, A.P. India., Bade Mahendra Chand , Ganesh M Siva Rama ,   Department of EEE, Shri Vishnu Engineering College for Women, Bhimavaram, A.P. India
Published: November 2019

In this paper, the Skelton of conventional bike is chosen for converting it into battery operated Electric vehicle. The work is done in two aspects: one is restructuring and other is assembling of powertrain components. Structural modifications are made for the placement of BLDC Motor with controller and Battery. The energy source selected is Lithium-ion battery and BLDC motor is used for propulsion of wheels of the bike. The Comparative analysis of gasoline conventional bike and developed E-bike is presented in this paper.
Global Activity, Impact And Collaborative Trends Of Business Research – A Bibliometric Research
Authors:   Asst Librarian, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India, Mishra Ranjita , Ramesh Dr. D.B. ,   Chief Librarian, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India
Published: November 2019

An analysis of global publication productivity, impact and trend of collaborations in business research using Scopus database during the period 1998-2017 is presented. Bibliometric techniques are used for analysis of data. This study finds, 2016 and 2017 as productive and collaborative, whereas 2005, 2007 and 2006 as highly cited years. Collaborative papers are above 50% and Kasemsap, K. is the most productive author and all his papers are single authored. Hong Kong Polytechnic University of China has greater productivity, Collaborative papers and second highest citations gained. United States and United Kingdom leads for their productivity and citations received but their collaborative efforts are less than 50%. India has 7th position with 1538 (3.11%) publication share. Journal of Business Ethics is the highest productive journal. Harvard Business Review is the highly cited journal. Porter, M. E. is the highly cited author having 3389 citations for his single contribution. Out of top 10 highly cited papers six are single authored.
Road Traffic Monitoring System
Authors:   Assistant Professor, Department of Computer Science and Engineering,Kumaraguru College of Technology, Coimbatore, Tamilnadu, India., Shobana G. , Suguna Dr.M. ,   Assistant Professor, Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India.
Published: November 2019

Nowadays, the Congestion in traffic is one of the major issues in many cities. There are different causes of congestion in road traffic like capacity of the lane is insufficient, more demand, large delays in signals, increase the number of vehicles etc. As populations are growing, it is difficult to manage the traffic on the roads and also the people has to wait for the green signal for a long time as it is not depend on the density of traffic in the real time. This paper presents the method to find the density of the traffics in each signal by using camera and sensors. According to the vehicle density on road, the decisions are made to switch the traffic lights to red or green. As the result it will reduce the traffic on roads which will help to reduce the accidents
Theories Of Punishment: Changing Trends In Penology
Authors:   Assistant Professor ,BharatiVidyapeeth Deemed University, New Law College,Pune, Maharashtra, India., Shelke Dr. Sagar , Dharm Dr. Jyoti ,   Assistant Professor ,BharatiVidyapeeth Deemed University, New Law College, Pune, Maharashtra, India.
Published: November 2019

From the ancient time it is the fundamental duty of the state to protect its citizens. The quantum of punishment used to be based on the theories of punishment. It has been observed in the modern times with the advent of administration of justice that there has been a shift from traditional punishments to the new trending concern of victimology. The focus is now on the victim’s plight and giving him fair justice and compensation. This paper contains various theories of punishment and the elaboration of whether it’s effective in modern times.
Anfis Based Fault Detection And Identification Of Control Valve Failures In Three Tanks Interacting Level Process
Authors:   Department of Electronics and Instrumentation EngineeringEaswari Engineering College, Chennai, Tamil naduIndia., Nagarajan S. , Kalaivani K. ,   Department of Electronics and Instrumentation EngineeringEaswari Engineering College, Chennai, Tamil naduIndia, Navaseelan P. ,   Department of Electronics and Instrumentation EngineeringEaswari Engineering College, Chennai, Tamil naduIndia, Kalaiselvi T. ,   Department of Electronics and Instrumentation EngineeringEaswari Engineering College, Chennai, Tamil naduIndia, Sobana S. ,   Department of Electronics and Instrumentation EngineeringEaswari Engineering College, Chennai, Tamil naduIndia
Published: November 2019

Fault detection and identification for control valve failures in a three tanks interacting level process (TTILP) and failure accommodation under such failure conditions is presented in this paper.. The proposed Fault Detection and Identification is done based on multiple model observer approach and the observers are developed using Adaptive Neuro-Fuzzy Inference System (ANFIS). Four models are developed with a dedicated observer to represent the three control valve failures ‘struck at minimum flow position’, ‘struck at maximum flow position’, and ‘struck at last maintained position’ and the controller failure respectively. Decision functions are developed from the outputs of these models to identify the failures. Fault Confirmation Logic uses two more multiple model observers to avoid false alarms. The three types of control valve failures are considered in this paper. The results show that the TTLIP is able to control perfectly even under any type of control valve failure.
Design of Hand Movement based Smart Automation System
Authors:   EEE department, Easwari Engineering College, Chennai, Tamil nadu, India, Ponkarthika B. , Kaliappan Dr.E. ,   EEE department, Easwari Engineering College, Chennai, Tamil nadu,India, Vijeesh V. ,   EEE department, Easwari Engineering College, Chennai, Tamil nadu,India, Vignesh G. ,   EEE department, Easwari Engineering College, Chennai, Tamil nadu,India
Published: November 2019

There are millions deaf people in the world and around many people in India who are affected by ALS and paralysis, they face difficulty in communicating with others. Therefore in this paper we propose a system that converts simple gesture to speech and also use these gesture to control the home appliances he project will be in the form of glove which makes it handy and reliable. It uses flex sensors for gesture recognition and TTS module for the gesture to speech feature which makes it slender and much viable.
Secure Auditing And Storage Systems In Cloud Service
Authors:   Assistant professor, Department of Computer Science, Sri Krishna Engineering College,Chennai, Tamilnadu, India, Murthy PVNSLSSR , Khanaa Dr.V. ,   Professor, Department of Information Technology, Bharath University, Chennai, Tamilnadu, India,, Bandaru Venkata Naga Rani ,   Assistant professor, Easwari Engineering College,Chennai, Tamilnadu, India, A Abirami ,   Assistant professor, Department of Computer Science and Engineering, Easwari Engineering College, Chennai, Tamilnadu, India
Published: November 2019

Cloud is the one of the booming technology this era; cloud technology provides various storage services for the user, which is helpful on large amount of data maintenance and management.dd in this paper, we identify the issues of integrity auditing and storage security systems on cloud. Specially, seeking to achieve both auditing and storage in cloud in secure way, we are proposing a secure system, namely secClodud+ and using the dynamic data operation with portioning method the data are stored in the server. The performance of data storage and retrieval is securely done in proposed model. Implementation of the model is based on Improved Adaptive Huffman Technique that enables the access to the user to process the secure and efficient way of data. So that this improved Adaptive Huffman technique implements to store the data with the minimized time consumption, space and computational cost.
Spoofing – An Attack On Node Identity And Its Remedial Research
Authors:   Assistant Professor, Department of Computer Science, Agurchand Manmull Jain College, Meenambakkam, Chennai (Tamil Nadu), India., Kumar Dr. A. Udhay , Raja M Ganesh ,   Assistant Professor, Department of Computer Applications, Agurchand Manmull Jain College, Chennai (Tamil Nadu), India.
Published: November 2019

Network is the prime demand of today’s outreaching development in every sector. Starting from a small institute to big sectors like Industry, Organization, Defense, Ministry and Medicine all are dependent on network to maintain their data transmission efficiently. It provides the great ease of operation and information sharing. As we know with greater ease, much greater threat is handy. With the network also a big threat is associated i.e. network attacks. There are some major attacks which can violate and damage the whole network system and its integrity. Wireless attacks are very common and an intruder with vast knowledge of network administration and modification can easily find the loopholes in the security systems. There are different attacks like Denial of Services (DoS), Sniffer, Password Based, Spoofing, Eavesdropping etc. but the most dangerous of all is spoofing. Spoofing is an attack type in that the intruder impersonates as original identity and use their identity to achieve the intrusion goal. The attack is so severe because the user, even after seeing the intruder cannot identify it as the external body and take immediate action. The intruder enters the network and steals all the information as a legitimate user and damages the integrity of network. We propose here to find the intruder by using the energy consumption by nodes using the dead, asleep and active nodes. We can localize the location of intruders in the network using this technique. We use Received Signal Strength (RSS) to see the energy consumption of each node as the fluctuation of intruder node will be different from genuine nodes.
Performance Analysis Of A Low Sar Triangular Patch Textile Antenna For Health Monitoring Systems
Authors:   Professor, Department of Electronics and Communication Engineering, Kumaraguru College ofTechnology, Coimbatore, Tamil Nadu, India, Amsaveni A. , Bharathi M. ,   Professor, Department of Electronics and Communication Engineering, Kumaraguru College ofTechnology, Coimbatore, Tamil Nadu, India.
Published: November 2019

In this article, a triangular patchtextile antenna has been proposed for health monitoring systems. The patch is fabricated using copper tape and substrate is made up of cotton. Two slots have been introduced near feedline to get larger the bandwidth.The size of the proposed antenna is 90x80 mm². The textile antenna is powered throughmicrostripfeedline structure. The antenna resonates at ISM band of 2.4GHz. The antenna provides a peak gainof3.15 dBi and radiation efficiency of 81.33% over the resonating frequency. The impacts on human head and handof electromagnetic radiation are evaluated. The electromagnetic radiation is evaluated usingSpecific absorption rate at different distances from human head and hand. The antenna parameters like radiation efficiency, radiation pattern, return loss and directivity have been evaluated. The antenna is designed and simulated using ANSYS High frequency structure simulator(HFSS) software and the fabricated prototype antenna is tested using network analyser.
High Efficient Dc-Dc Converter With Low-Input Ripple
Authors:   Assistant Professor, Dept. of EEE, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India, Maithili P. , Dineshkumar T. ,   Assistant Professor, Dept. of EEE, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India
Published: November 2019

The depletion of fossil fuel reserves and increased energy demand led to search of renewable energy resources. There are various renewable sources are available. Among these, the solar PV is most commonly used. In this paper a high efficient converter has been deliberated. There are two stages of conversion. In first stage, large conversion ratio with low potential stress on converter switch is accomplished. In second stage, the conversion rate of the converter is further improved with reduced conduction losses. A cuk regulator integrated through Boost and SEPIC converter based topology has been presented. The design parameters of proposed switched mode regulator topology has discussed and results are verified with MATLAB simulation.
An Efficient Dorsal Hand Vein Recognition Security System Using Arduino And Gsm Technology
Authors:   Associate Professor, Dept of BME, KAHE, Coimbatore, Tamilnadu, India., Rajalakshmi N. , M.P Ramsankar. ,   UG student, Dept of ECE, KAHE, Coimbatore, Tamilnadu, India., Manimegalai P. ,   Assoc. Professor, Dept of BME, Karunya Institute of Technology and Sciences,Coimbatore, Tamilnadu, India.
Published: November 2019

With the onset of maximum power, modest figuring and more prominent unpredictability, biometric verification has turned out to be conceivable at each scale in light of its more secure nature and furthermore easy to use conduct. Compare to other biometrics, vein biometric is a decent verification characteristic among others. The dorsal hand vein recognition is an emerging biometric procedure which is utilized for verification purposes in many applications. In this work pre-processing is done by median filter and region of interest such as veins separated from the muscles and bones through adaptive K-means clustering algorithm.The proposed method extracts the dorsal hand vein pattern features by using LBP and Repeated Line Tracking algorithm.Finally recognition and authentication is done using Artificial Neural Network. Arduino and GSM technology is used in this work to set security preference for the particular user.In order to validate the proposed work , a total of 480 images of dorsal hand veins is involved in this work. In a comparison with four existingverification algorithms, the proposed method achieves thehighest accuracy with lowest error rate.
Metal Oxide Semiconductor: Future Material For Gas Sensors And It’s Synthesis Techniques
Authors:   Assistant Professor, Electronics and Instrumentation Engineering at Sikhsha ‘O’ Anusandhan (Deemed to be) University, Bhubaneswar, Odisha, India., Nanda Dr. Binita , Panda Subashis ,   Assistant Professor, Electronics and Instrumentation Engineering, Sikhsha ‘O’ Anusandhan (Deemed to be) University, Bhubaneswar, Odisha, India., Ali Dr. Farida A. ,   Assistant Professor, Electronics and Instrumentation Engineering at Sikhsha ‘O’ Anusandhan (Deemed to be) University, Bhubaneswar, Odisha, India.
Published: November 2019

This paper provides a complete idea about metal oxide semiconductors ((MOSs) for gas sensing application. Metal oxide semiconductor nano-materials are showing much higher strength in many industries, research laboratories and public health and so on with their effective chemical, physical, and electronic properties. The morphology, band gap, porosity, conductivity properties, low cost and high surface area etc. are few of the properties of MOSs that are responsible for the enhancement of sensing properties in various applications. Besides these, now-a-days MOSs are grown in different nanostructures like nano rods, nano flowers, nano sheets, nano-wires etc. using the various growth techniques which are further responsible for their betterment as gas sensors. Therefore, this paper gives a complete idea about the different methods of synthesis of MOSs.
Machine Intelligence Techniques In Vlsi Hardware
Authors:   Department of Electronics & Communication Engineering, Rabindranath Tagore University,Bhopal, Madhya Pradesh, India., Chauhan Dr. Ashish , Singh Dr. Laxmi ,   Department of Electronics & Communication Engineering, Rabindranath Tagore University, Bhopal, Madhya Pradesh, India., Gupta Dr. Sanjeev Kumar ,   Department of Electronics & Communication Engineering, Rabindranath Tagore University,Bhopal, Madhya Pradesh, India.
Published: November 2019

A brief guide to storage primarily dependent strategies to simulate machine intelligence in VLSI equipment, explaining the difficulties accompanied by the advantages. The application of programming methods in VLSI hardware can be both difficult and reasonable. Deep architectures, stratified temporal reminiscences and memory networks square measure a number of up-to-date approaches in this analysis area. This methodology was built to follow the low-level intelligence challenges and seeks to provide climbable approaches to high-level intelligence problems such as thin writing and debate.
Robust Controlling Of Thermal Mixing Procedure By Means Of Sliding Type Controlling
Authors:   Department of Mechanical Engineering, Sanskriti University, UttarPradesh, India, Singh Dharmendra
Published: November 2019

The thermal mixing robust controlling ideas by employing slider controlling method employed in this work. It is envisioned for designing a Slider Controlling Mode for achieving reference temp. of mixer in existence of unsettling noises. The process performance is traced by MATLAB environment simulation. The constructed controlling model ensures that the stability and convergence requirement in existence of conflicts & later demonstrates its robust property. The result of offered process compared with classical PID controlling process that illustrates the process is successful and simple for a wide-ranging span of functioning conditions, structure variabilities & non-linear dynamics of the model.
Eco Centricism Is The Nucelus For Development: An Ecocritical Of Amitav Ghosh’s Hungry Tide
Authors:   Ph.D. Research Scholar, Department of English, School of Science, Arts, Media and Management, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India., Milton Ben J. , Sundarsingh Dr. J. ,   Professor and Head, Department of English, School of Science, Arts, Media and Management, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
Published: November 2019

Ecocriticism facilitates understanding the complexities of relationship between man and nature as presented in literature. This relationship varies from one species to another and brings out the characteristics of nature and human being. India is a country rich in ecology and has its roots deeply dug in the environment. Hence it syncs well with the Environment. The Sundarbans is one such place which was is deeply immersed with the planet’s ecology. AmitavGhosh, in his writing, has brought out the beauty of the place and has spoken about the life people lived over there. He has brought out nature and man from his perspective in an eco-centric world. He portrays the vicinity and talks about the relationship between the protagonist and nature in the novel Hungry Tide. Despite the various troubles that come their way their sole dependence upon nature is highlighted. The author points out the relevance and invariance of age that dependent upon nature which aspires to remain the same.
Iot Driven Automated Object Detection Algorithm For Urban Surveillance System In Smart City
Authors:   PG Student, Department of ECE,MLR Institute of Technology, Hyderabad, Telangana, India., Pragna D.V.B , Reddy D.Laxma ,   Associate professor, Department of ECE, MLR Institute of Technology, Hyderabad, Telangana, India., Prasad SVS ,   Professor, Department of ECE, MLR Institute of Technology, Hyderabad, Telangana, India.
Published: November 2019

Automated object detection algorithm is an important research challenge in intelligent urban surveillance systems for Internet of Things (IoT) and smart cities applications. In particular, smart vehicle license plate recognition and vehicle detection are recognized as core research issues of these IoT-driven intelligent urban surveillance systems. They are key techniques in most of the traffic related IoT applications, such as road traffic real-time monitoring, security control of restricted areas, automatic parking access control, searching stolen vehicles, etc. In this paper, we propose a novel unified method of automated object detection for urban surveillance systems. We use this novel method to determine and pick out the highest energy frequency areas of the images from the digital camera imaging sensors, that is, either to pick the vehicle license plates or the vehicles out from the images. The other sensors like flame and ultrasonic sensor are used to monitor nearby objects. Our proposed method can not only help to detect object vehicles rapidly and accurately, but also can be used to reduce big data volume needed to be stored in urban surveillance systems
Research Of Optimization Algorithms Used In Mimo-Ofdm Systems
Authors:   M.tech Student, Assistant Professor, Department of Electronics and Telematics, G. Narayanamma Institute of Technology and Sciences (for women), Hyderabad, Telangana, India, Hashmi Shaik Zubiya , Lakshmi M. Vijaya ,   M.tech Student, Assistant Professor, Department of Electronics and Telematics, G. Narayanamma Institute of Technology and Sciences (for women), Hyderabad, Telangana, India
Published: November 2019

Orthogonal Frequency Diνision Multiplexing (OFDM) technology is used to split large amount of data into several parallel narrowband channels with different frequencies orthogonally such that interference is reduced. Multiple Input M𝒖ltiple Output (MIMO) technology uses diversity ƫechnique such that capɑcity of the system and data throughput can be improved. Thereby combining both the technologies as MIMO-OFDM achieves great spectral efficiency and it is the most advanced technology in broadband wireless communication. Ƭhe channel estimation techniques like Leaşt Square Estimation (LSE) algorithm is used to estimate the channel and the performancе of MIMO-OFDM system is еvaluated on the basis of Bit Error Ratе (BER) and MеanSquarе Error (MSE) by using MATLAB simulation. Further enhancement can be achieved by applying optimization algorithms, in this paper to find the optimum solution Partic1e Swɑrm Optimization Algorithm (PSO) is uti1ized when the pilots are placed randomly. Simulation outcome show that PSO algorithm outperforms the LSE when random pilots are used for MIMO-OFDM systems.
A Novel Statistical Based Methodology for The Feature Extraction of both MRI and CT images
Authors:   Professor, Department of ECE, Malla Reddy EngineeringCollege for Women, Secundrabad, India, Malliga L.
Published: November 2019

Design of a common methodology for the diagnosis of different image types is the objective of the work presented in this paper. The software is developed and can be used to diagnoseMRI and CT images by the laboratory technician The paper presents a statistical method for the feature extraction of MRI and CT images. About thirteen features are extracted using the methodology adopted for the proposed work. The thirteen features are based on texture, shape and intensity. The data dimensionality is reduced using the Principle Component Analysis (PCA). The common features are extracted using the Gray level co-occurrence matrix method. The software is developed using MATLAB and PYTHON for IoT support.
Remote Information And Power Transfer For Multi Relay-Assisted Agreeable Communication
Authors:   Asst. Professor, Dept. of ECE, Malla Reddy Engineering College for Women(Autonomous), Secunderabad-TS, Kumar G. Harish , Srikanth S. ,   Asst. Professor, Dept. of ECE, Malla Reddy Engineering College forWomen(Autonomous), Secunderabad-TS
Published: November 2019

In this paper, we studied about Simultaneous wireless information and power transfer (SWIPT) in multi relay-helped two-jump hand-off framework, where different hand-off hubs all the while help the transmission from source to goal utilizing the idea of dispersed space-time coding. Each hand-off applies control part convention to arrange the got flag vitality for data deciphering and vitality gathering. The streamlining issues of intensity part proportions at the transfers are planned for both decipher and-forward (DF) and intensify and-forward (AF) handing-off conventions. Productive calculations are proposed to discover the ideal arrangements. Recreations check the viability of the proposed plans.
Antenna beam forming and beam controlling for Improving the Wi-Fi signal
Authors:   Asst. Professor, Dept. of ECE, Malla Reddy Engineering College for Women(Autonomous), Secunderabad-TS, Raghavendra K. , Swetha  ,   Asst. Professor, Sri Indu Institute of Engineering & Technology, Ranga Reddy-TS, Naresh S. ,   Asst. Professor, Sri Indu Institute of Engineering & Technology, Ranga Reddy-TS
Published: November 2019

Antenna design plays a prominent role when we consider the far-field patterns when compared with near field patterns. By using a PIN diode (which has a wide intrinsic region when compared with normal diode) as a switch and a capacitor as a filter we are proposing an antenna design that able to radiate far field regions. The reason behind choosing capacitor as a filter means that we are designing antenna to transfer high frequency signals. For antenna deign simulations we have different software’s (like FEKO, ZELAND IE 3D etc.,) but the preferred software for this antenna design is Computer Simulation Technology Microwave Studio (CST MWS) as we are operating in a frequency band of 2 to 2.54GHz and the diameter of the antenna 20X20cm. Based on the diameter chosen the antenna is able to switch direction of signalling by using a switch with four different angles. The material used for antenna design FR-4 which is a Composite material composed of fibre glass cloth with an epoxy resin blinder i.e. frame resistance and SMB connectors with 75Ω impedance.
Machine Learning Algorithm Application in Software Quality Improvement using Metrics
Authors:   Department of information technology, Malla reddy engineering college for women Hyderabad, india Scholar of jjtu, siri Dharmapuri.
Published: November 2019

Machine learning purely concerned on the concept with building the program that improves the tasks performance through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. the field of software engineering turns out to be a fertile ground where many software development tasks could be formulated as learning problems, analyzing design and testing plays the major role and approached in terms of learning algorithms We discuss several metrics in each of five types of software quality metrics: product quality, in-process quality, testing quality, maintenance equality, and customer satisfaction quality.
A Distributed Multi-Competitive Clustering Method for Wireless Sensor Networks using 5G LTE
Authors:   Asst. Professor, Dept. of ECE, Malla Reddy Engineering College for Women (Autonomous), Secunderabad-TS, Reddy Mrs.G.Suprita , Poornima Mrs V. ,   Asst. Professor, Dept. of ECE, Malla Reddy Engineering College for Women (Autonomous), Secunderabad-TS
Published: November 2019

Fifth era remote, or 5G, is the most recent emphasis of cell innovation, designed to extraordinarily build the speed and responsiveness of remote systems. With 5G, information transmitted over remote broadband associations could go at rates as high as 20 Gbps by a few appraisals surpassing wire line organize speeds and in addition offer inactivity of 1 ms or lower for utilizes that require ongoing criticism. 5G will likewise empower a sharp increment in the measure of information transmitted over remote frameworks because of more accessible transfer speed and propelled reception apparatus technology. Wireless sensor systems (WSNs) require basic and successful ways to deal with lessen vitality utilization in view of restricted vitality. Grouping hubs is a compelling way to deal with make WSNs vitality productive. In this paper we propose a dispersed multi-aggressive bunching approach (DMCC) for WSNs. To start with, the hubs with high leftover vitality are chosen to go about as group head hopefuls (CHCs). Second, bunch heads (CHs) are chosen from the CHCs in light of a crossover of rivalry. In the event that the separations to the chose CHs are reasonable, a CHC with more neighbour hubs and littler normal separation to its neighbour hubs will probably turn into a CH. In the event that the quantity of CHs chose from the CHCs is insufficient, more CHs are chosen from non-CHCs constantly as indicated by lingering vitality until the CHs number is reasonable. DMCC makes the CHs number stable and disperse the CHs equally. Recreation tests were performed on to contrast DMCC and some related bunching approaches. The exploratory outcomes recommend that DMCC adjusts the heap among various groups and lessens the vitality utilization, which enhances the system lifetime.
Advancement and Improvement of CRM with the Use of Statistics Mining Strategies
Authors:   MRECW, Maisammaguda, Asst Professor, Cse Dept, Begum Shabanaunnisa
Published: November 2019

Abstract consumer relationship control (CRM) is a system that mainly deals with the communication among a enterprise and its customers. CRM thru facts mining can get more efficiency in obtaining new customers, increasing fee of present clients and preserving excellent clients. The number one users of CRM software program programs are database entrepreneurs who are seeking to automate the system of interacting with clients. To achieve success, database marketers ought to first become aware of marketplace segments containing clients or prospects really worth high-income ability. Statistics mining technology are relevant in lots of methods models and strategies which are used to go looking variety of patterns and relationships of different forms of facts. Statistics mining applications system of looking within the automation gear which reaches to the mountains of facts to look patterns that are good predictors of buying behaviors.After information mining, marketers need to display the outcomes into which coping with the enterprise market described in immediately way.
Pipeline Monitoring using Ultrasonic Sensors
Authors:   Asst. Professor, Dept. of ECE, Malla Reddy Engineering College for Women(Autonomous), Secunderabad-TS, Raghavendra K. , Swetha  ,   Asst. Professor, Sri Indu Institute of Engineering & Technology, Ranga Reddy-TS, Naresh S. ,   Asst. Professor, Sri Indu Institute of Engineering & Technology, Ranga Reddy-TS
Published: November 2019

Pipelines used to transport oil and gas deteriorate with time due to various reasons including corrosion, deformation, cracking etc., So instead of critical-event based inspections, a means of continuous monitoring of pipelines to analyze its response as a function of time is required. Using real time data, this monitoring can be used as a means of prior warning of any unsafe condition of many types of nondestructive testing (NDT) techniques used for defect detection in pipelines, Ultrasonic testing (UT) is preferred because of its high accuracy, reliability, affordability and its capability of generating instant test report. UT works on the principle of pulse-echo method. As the received echo signal by transducer is noisy, it is generally processed using wavelet transforms and/or FFT. Later the signal is given to Artificial Neural Network (ANN) to distinguish signal with Non-Defect (ND) and signal with Defect (D). In this proposal, UT technique is used in pipeline monitoring during machining and real time work. Two calibration standards such as straight beam testing and angle beam testing are used to detect parallel defects and weld inspection respectively.
Challenges and Research Disputes and Tools in Big Data Analytics
Authors:   Assistant Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamilnadu, India., Venkatesh K. , Ali M. Jafar Sathick ,   Assistant Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamilnadu, India., Nithiyanandam N. ,   Assistant Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamilnadu, India., Rajesh M. ,   Dept of Computer Science and Engineering, KRS College of Engineering, India., RaGa Academic Solutions, Chennai, India
Published: November 2019

Big Data is the era of data processing. Big Data is the Collate’s observer data sets that are complicated that traditional data-processing abilities.There are the various challenges include data analysis, capture the data, curation, search, sharing, stowage, transmission, visualization, and privacy violations. A large collections of petabytes of data is engendered day by day from the up-to-date information systems and digital era such as Internet of Things and cloud computing. Big data environs is used to attain, organize and analyse the numerous types of data. A large scale distributed file system which should be a fault tolerant, flexible and scalable. The term big data comes with the new challenges to input, process and output the data The technologies used by big data application to handle the massive data are Hadoop, Map Reduce, Pig, Apache Hive, No SQL and Spark. Initially, we extant the definition of big data and discuss big data challenges. Succeeding, The Propionate Paramour of Big Data Systems Models in the Into Prolonging Seam, Namely data Generation, data Assange, data Storage, and data Analytics. These four modules form a big data value chain. In accumulation, we present the prevalent Hadoop framework for addressing big data.
Mining Social Media Content to Predict Peer Trust Level in Social Networks
Authors:   Department of Computer Science and Engineering, Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil-Nadu, India, M Sumithra , Abraham Asha ,   Department of Computer Science and Engineering, Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil-Nadu, India, M Rajesh ,   Dept of Computer Science and Engineering, KRS College of Engineering., RaGa Academic Solutions, Tamilnadu, India., Nithiyanandam N. ,   Assistant Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamilnadu, India
Published: November 2019

Paper Setup must be in A4 size with Margin: Top 0.7”, Bottom 0.7”, Left 0.65”, 0.65”, Gutter 0”, and Gutter Position Top. Paper must be in two Columns after Authors Name with Width 8.27”, height 11.69” Spacing 0.2”. Whole paper must be with: Font Name Times New Roman, Font Size 10, Line Spacing 1.05 EXCEPT Abstract, Keywords (Index Term), Paper Tile, References, Author Profile (in the last page of the paper, maximum 400 words), All Headings, and Manuscript Details (First Page, Bottom, left side).Paper Title must be in Font Size 24, Bold, with Single Line Spacing. Authors Name must be in Font Size 11, Bold, Before Spacing 0, After Spacing 16, with Single Line Spacing. Please do not write Author e-mail or author address in the place of Authors name. Authors e-mail, and their Address details must be in the Manuscript details. Abstract and Keywords (Index Term) must be in Font Size 9, Bold, Italic with Single Line Spacing. All MAIN HEADING must be in Upper Case, Centre, and Roman Numbering (I, II, III…etc), Before Spacing 12, After Spacing 6, with single line spacing. All Sub Heading must be in Title Case, Left 0.25 cm, Italic, and Alphabet Numbering (A, B, C…etc), Before Spacing 6, After Spacing 4, with Single Line Spacing. Manuscript Details must be in Font Size 8, in the Bottom, First Page, and Left Side with Single Line Spacing. References must be in Font Size 8, Hanging 0.25 with single line spacing. Author Profile must be in Font Size 8, with single line spacing. Fore more details, please download TEMPLATE HELP FILE from the website.
Dampak Latihan Self Efficacy Terhadap Kemampuan Self Care Pasien Di Ruang Interna Rsud Syarifah Ambami Rato Ebuh Bangkalan
Authors: Suhron Muhammad
Published: November 2019

Nursing ability to prevent and minimizethemselves due to the risk of a disease is not thesame on every person. One theory that is beingdeveloped in the world of nursing theory DorotheaElisabeth Orem is that the theory of self-care. Basedon preliminary studies obtained largely self-careabilities of patients in interne room is low. Thepurpose of this study to analyze differences in theability of self-care in patients before and after selfefficacy

exercise. This type of research is the preexperimental

with one-group pre-post test design.The samples used were 15 people with a purposivesampling technique. Data collection was conductedusing a checklist sheet classification of self careability and Wilcoxon test to see the difference. Thestatistical result is obtained p-value (0,001) < α(0,05) which means that H1 is accepted and H0 isrejected or there are difference in the ability of selfcare

before and after self-efficacy exercise in theinterne room Syarifah Ambami Rato EbuhBangkalan. This was caused by the self-efficacyexercise can affect cognitive, motivational, affective,and selection. In connection with the development of theoryin nursing, it is expected that health workers to betterunderstand the importance of improving the ability ofself-care to maintain the normal function of the bodyby making self-efficacy exercise as a measure ofnursing care at the Hospital
Eksplorasi Kesadaran Diri, Persepsi Dan Sikap Pada Individu Yang Memiliki Riwayat Keluarga Diabetes Melitus Tipe 2
Authors: Mayangsari Mulia
Published: November 2019

Individuals who have a family history oftype 2 diabetes mellitus (DM) have a highrisk for type 2 diabetes. Type 2 diabetescan be prevented by improving modifiablerisk factors, supported by self-awareness,perceptions and attitudes of individualswho have a high family history of DM. Thisstudy used a qualitative phenomenologicaldesign. A Purposive Sampling techiniquewas applied to determine individuals whohad parents with type 2 diabetes. Nineindividuals participated in this study. AQualitative content analysis with Collaiziapproach used as a data analysis method.The main themes depicted individuals selfawareness,perceptions, & attitudes were:denials that diabetes caused by heredityfactors; misperception about diabetes;“traditional modalities” as a preventionmeasurement toward type 2 diabetes; andDM is perceived as a “threatening disease”.Further study is needed to examine indepth the themes that have been identifiedon the number of participants are morenumerous and varied.
Pengaruh bimbingan kelompok client centered tentang pendidikan seks islami terhadap perilaku (meliputi pengetahuan, sikap dan tindakan) pencegahan penyimpangan seksual pada remaja awal perempuan
Authors: Wijayanti Anin
Published: November 2019

Sexual deviation is also called as abnormalor deviant sexual behaviors tending to sexualcrimes. The increasing deviation for the past threeyears in Mojokerto and its proximity is LGBT(lesbian, gay, bisexual and transsexual), it occuredon teenagers aged from 14 years. Children andteenagers approaching adolescence are actuallygroups with a risk of having sexual deviation, butthey often do not realize it. Thus, they need moreconcern from parents and teachers. The researchaimed to analyze the influence of client centeredgroup coaching approach regarding islamic sexeducation toward the prevention of sexual deviationbehaviors on preadolescence female teenagers atSDIT Permata Kota Mojokerto. The type of theresearch is quasi-experimental design, by using nonrandomized pre test-post test control-group design.The research was conducted from February to June2015, with a population of 97 teenagers and asample of 30 which were taken by using stratifiedrandom sampling. In order to analyze the behaviorsof case group and control group before and aftergroup coaching, the test used Independent SamplesTest and the result suggests that t count (4.881 and16.529) is greater than t table (1.993), with a significance value 0.000 (<0.05). In order to knowthe influence of group coaching to behavioral change the researcher used Paired SamplesCorrelations and the result suggests that t count (10.048)

is smaller than t table (2.045), with asignificance value of 0.000 (<0.05). Conclusion: teenagers' behaviors before andafter group coaching can be categorized as positive,and there were effects of group coaching toward theincrease of preventing behaviors. It is suggested thatthe school keeps conducting weekly coaching groupwith the most effective methods to satisfy the needsod teenagers and prioritizes the use of Islamiccontents materials (religious approach).