bluuebunny/crossref_metadata_2025 huggingface dataset:
Intelligent System for Smart Cultivation to Integrate Technology in Rural Economic Development
Authors:   School of Computing Science & Engineering Vellore Institute of Technology, Chennai, Rao B V A N S S Prabhakar , Kumar Kadupukotla Satish ,   Dept. of CSE, St.Peters Engineering College, Hyderabad., Singh Rabindra Kumar ,   School of Computing Science & Engineering Vellore Institute of Technology, Chennai, Sundeep P ,   School of Computing Science & Engineering Vellore Institute of Technology, Chennai
Published: March 2020

Since all living organisms require food and farming is the best key division of any country’s economy development. In many developing countries the price of agriculture commodity is very low due to many issues. From a billionaire who has bread and jam for breakfast to the poor who eats rice porridge everyone who needs food for living on this earth has a relation to agriculture. The farmer, even if he is or isn’t profited for years together with the crop that he has sown he keeps searching for his life in every seed he sows in hope of succeeding. Hence, along with the price hikes in the market, adulteration is also on the rise, if this continues similarly, the wealth you’d give your children in the future won't be enough even for their hospital expenses. Price of land is growing day by day and the value of farmer is coming down, if we start constructing everything on this land then there would be no place for cultivating food. This work is based on gaining good returns for farmers by farmers meeting their own customers, but no relation to dealers this helps in farmers getting their price for the work they do. This helps in good food without adulterant products that leads in good health, hence good business returns in good benefits of returns to the economic growth of the country. Major contribution is required to implement minimum support price. Lots of researchers reported the need of MSPs but no implementation strategies so far in many products. The main focus of this work is to provide food for our growing population; we need to adopt certain agricultural practices with the help of technology in terms of machine intelligence with smart cultivation for crop production and management.
Fuzzy Particle Swarm Optimization Feature Selection and Aggrandized Classifier for Uncovering Frauds in Credit Card Deals
Authors:   Ph. D Scholar, Department of Computer Science, Nehru Arts and Science College, T.M Palayam, Coimbatore, Tamilnadu, India., V Jisha.M. , Kumar D.Vimal ,   Associate Professor, Department of Computer Science, Nehru Arts and Science College, T.M Palayam, Coimbatore, Tamilnadu, India.
Published: March 2020

In today's economy, credit card plays a very important role. The rise of credit card customers improved, credit card scam cases were also on the rise. Numerous procedures are anticipated to challenge the evolution of the frauds in credit cards. In this research work, proposed an innovative fraud detection method which utilizes the similar cardholder’s behavioral patterns to construct a current cardholder’s interactive profile in order to stay away from the credit card scams. However, the selection of optimal features from the samples and the decision cost for accuracy becomes main important problem. To illuminate these issues this proposed research work presents an innovative fraud detection technique that makes out of four phases: 1. To augment a cardholder’s behavioral styles, first we divide all cardholders into distinctive groups making use of the cardholder’s historical transaction data such that the members of each group have the similar transaction behavior by K-means. 2. Introduces a new Fuzzy Particle Swarm Optimization (FPSO) feature selection for the amplification of fraud detection in credit cards. 3. By means of a prolonged wrapper method, an ensemble classification are performed by Aggrandized Kernel based Support Vector Machine (AKSVM).4.Refreshing the cardholder’s social profile with an input system. This Proposed work adopts the external quality metrics as Accuracy, Recall, Concept drift rate and Fraud feature rate. The UCI dataset is used and is done in MATLAB framework. The analytical measures were used to estimate the routine of the mentioned fraud detection technique. The simulation results show that this proposed innovative fraud detection method provides better accuracy results than other fraud detection techniques. The low concept drift rate results the gain of the innovative method to classify the transactions accurately.
Automated Epileptic Seizure Detection Model using WPT, CFS and KNN based Multiclass TSVM
Authors:   Assistant Professor, Trident Academy of Technology, B.P.U.T, Bhubaneswar, Odisha, India., Mohapatra Sumant Kumar , Mohanty Madhusmita ,   B.E , electronics and Telecommunication engineering from the North Odisha University, India, Swain Biswa Ranjan ,   Assistant Professor , Trident Academy of Technology, B.P.U.T, Bhubaneswar, Odisha
Published: March 2020

The main aim of the proposed work is to generate an accurate automated seizure detection model for the performance evaluation of the improvement on epileptic patients in an improved manner. Long data sets of EEG signals are recorded for a long duration of time which has taken from PhysioNet CHB-MIT EEG datset for this experimental work. Six types of elements are excerpted from EEG signals by using WPT method and which is then classified by using CFS method. Then, all the features are combinely inputted to the rule based twin- support vector machines (TSVMs ) to detect normal, ictal and pre-ictal EEG segments. The developed seizure detection WPT-KWMTSVM method achieved excellent performance with the average Accuracy, specificity, sensitivity, G-mean, positive predictive value, and Mathews correlation coefficients are 97.14%, 97.33%, 97.00%, 97.31%, 96.85%, 95.96% respectively The average area under curve (AUC) is approximately 1. The proposed method is able to enhance the seizure detection outcomes for proper clinical diagnosis in medical applications.
Motif Discovery of Protein Protein Interaction using Minimum Spanning Tree
Authors:   Ph.D. Research Scholar, Department of Computer Science, Bharathiar University, Coimbatore, Tamilnadu, Lakshmi P. , Ramyachitra D. ,   Assistant Professor, Department of Computer Science, Bharathiar University, Coimbatore, Tamilnadu., Pavithravishalini E. ,   Ph.D. Research Scholar, Department of Computer Science, Bharathiar University, Coimbatore, Tamilnadu.
Published: March 2020

In protein Interaction Networks, counting subgraph is a tedious task. From the list of non induced occurrence of the subgraph, motif topology calculated by using Combi Motif and Slider techniques. But, this approach was taken more time to execute. To reduce the execution time, the minimum weight value between the nodes, the Minimum spanning tree concept proposed. Prim’s method implemented with the greedy technique (as Kruskal’s algorithm) to calculate the minimum path between the nodes in the Protein interaction network. This technique uses to compare the similarity of the minimum spanning tree approach. Initially, this algorithm has discovered the path then calculated the weight matrix and found the minimum weight value. From the computational experiments, the proposed approach of MST providing better results in terms of time consumption and accuracy to count the motif pattern in the network of the interacted proteins.
Design and Performance Analysis of FIR Filter for VLSI Applications
Authors:   Assistant Professor, SR Engineering College, Ananthasagar, Warangal, Telangana, INDIA, Anjali P. , Jyothi G. Navya ,   Assistant Professor, SR Engineering College, Ananthasagar, Warangal, Telangana, INDIA.
Published: March 2020

The Primary essential basis for planning and realization of Digital signal processor is space improvement and decrease in power utilization. The basic part for arranging and acknowledgment of processor is the FIR Filter. This Filter contains three basic blocks that area unit Adder blocks, memory block and number blocks. The execution of this Filter is basically subjective by the wide assortment that is the moderate block out of all. In this paper, the Filter has been planned using two completely different multipliers particularly Array multiplier and Booth multiplier. An upgrade has been finished in each with respect to space and lag. Additionally, minimum power utilization and degradation concerning lag and working frequency of the booth multiplier maintain extremely appropriate for the planning of the FIR Filter for less voltage and less power VLSI operations.
An ARM based Network of Wireless Sensors for Plant Health Monitoring
Authors:   Asst. Prof Department of ECE, S R Engineering College, Warangal, Telangana, India., Swetha B. , Shilpa N. ,   Asst. Prof Department of ECE, S R Engineering College, Warangal, Telangana, India.
Published: March 2020

In the present age, the Internet of Things (IoT) is turning into an essential part of our day by day existence with the new innovative improvements. The objective of this project is to utilize the IoT with a smart system of wireless sensors to observe plant healthiness and watch larvae populace in a remote yield field. A wireless sensor network is proposed in this setting to recognize larvae and calculate certain gadget parameters, namely, the Acoustic Complexity Index (ACI), temperature, humidity and soil moisture. The information of the sensors is gathered through a serial port through the front end sensing node built with a STM32F407VG board. The leading group of STM32F407VG depends on the processor of Advanced RISC Machine (ARM). Utilizing a remote ZigBee protocol, the node information is transmitted to a base station. Information from a gathering of sensor nodes is obtained by the base station. This information is transmitted by means of the Universal Serial Bus (USB) association between the base station and the Central Processing Unit (CPU). On the CPU, this information is examined utilizing the clearly planned application dependent on MATLAB. The discoveries will be shown and put away on the CPU and logged by means of Thingspeak liaison on the cloud too. At any moment, it requires access to this data globally. An auspicious contact and healing of the arranged yield field is accomplished. To accomplish the effective combination and execution of the modules, the unit parameters are changed. An experimental setup is used to test the proposed system operation. The results confirmed the proper functionality of the system.
Agricultural Stress Monitoring using Remote Sensing Data
Authors:   Department of CSE, Maharashtra Institute of Technology, Aurangabad, Maharashtra, India., Bhosle Kavita V. , Musande Vijaya ,   Department of CSE, MGM’s Jawaharlal Nehru Engineering College, Aurangabad, Maharashtra, India.
Published: March 2020

This study consist of experiments on Hyperspectral remote sensing data for monitoring field stress using remote sensing tools. We have segmented Hyperspectral image and then calculated stress level using ENVI tool. EO-I hyperspectral remote sensing data from hyperion space born sensor has been used as the key input. QUACK (Quick Atmospheric Correction) algorithm has been used for atmospheric correction of hyperspectral data. EO-1, hyperion sensors data It has been observed that stress level depends on chlorophyll contents of a leaf. It has been observed that green field is with less stress and rock where no chlorophyll contents have most stress. We have also shown stress level in the scale of 1 to 9.
Design and Analysis of off board PV Grid Adjustable Charger for Electric Vehicle Battery
Authors:   Electrical Engineering, National Institute of Technical Teachers’ Training and Research, Chandigarh, India., Singh Arshdeep , Letha Shimi Sudha ,   Electrical Engineering, National Institute of Technical Teachers’ Training and Research, Chandigarh, India., Nikhil  ,   Electrical Engineering, National Institute of Technical Teachers’ Training and Research, Chandigarh, India.
Published: March 2020

The electric vehicles (EVs) are emerging as general-purpose transportation, due to various shortcomings of traditional vehicles. The EVs will become ubiquitous only if its charging infrastructure is abundant and efficient. Typically, a module of Li-ion battery applied in EVs uses 4 – 6 cells. These modules are connected in series-parallel combination to obtain the threshold power output. The power for the charging battery is delivered by the PV – grid topology. The solar and grid circuit uses a boost converter to create a dc bus. As the system uses boost converter for both PV and grid circuit, therefore, charging profile can be adjusted by altering dc bus voltage. The battery used in different EVs has a different configuration. The charger for EVs should be adjustable, as the traditional charger with fixed output will not charge the battery efficiently and results in reduced battery life. Therefore, a charger providing a fixed output will not serve the public demand. Hence, an adjustable charger has been proposed in this paper. The voltage and current profile of the charger can be adjusted according to the requirements of the EV battery.
Attendance Connect A Complete Mobile Attendance Governing using Face Recognition
Authors:   Undergraduate Computer Engineering student, Charotar University of Science and Technology (CHARUSAT), Gujarat (India)., Makhecha Neel
Published: March 2020

Attendance Connect aims in simplifying the task of registering attendance in the class by teachers, managing attendance records and letting students access those up-to-date attendance records anytime. These fundamental goals of simplifying workflow of teachers and students is made possible through the use of advanced technologies like state-of-the-art group based face recognition and attendance code right from the mobile device. Moreover, Attendance Connect also features additional functionalities like Schedules to make it easier for marking attendance of sessions, prior knowledge of sessions to attend or miss and Announcement Posts which lets teachers post announcements about changes in class schedules, homework or pretty much anything to stay in touch with the students. This is achieved with incredibly easy-to-use user interface developed for iOS devices using Swift and Objective-C with a modern backend of Firebase. In addition to that, the hardware requirement of Attendance connect is limited only to compatible mobile devices like smartphones or tablets. Meaning, it is easy to install, easy to start using and is significantly affordable.
A Novel Multi Hidden Layer Convolutional Neural Network for Content Based Image Retrieval
Authors:   Research Scholar, JNTUK, Associate Professor, Department of ECE, QISIT, Andhra Pradesh, India., Ramanjaneyulu K. , Swamy K. Veera ,   Professor, Department of ECE, Vasavi College of Engineering, Hyderabad, India., Rao Ch. Srinivasa ,   Professor, Department of ECE, JNTUKUCEV, Vizianagaram., Andhra Pradesh, India.
Published: March 2020

The applications of a content-based image retrieval system in fields such as multimedia, security, medicine, and entertainment, have been implemented on a huge real-time database by using a convolutional neural network architecture. In general, thus far, content-based image retrieval systems have been implemented with machine learning algorithms. A machine learning algorithm is applicable to a limited database because of the few feature extraction hidden layers between the input and the output layers. The proposed convolutional neural network architecture was successfully implemented using 128 convolutional layers, pooling layers, rectifier linear unit (ReLu), and fully connected layers. A convolutional neural network architecture yields better results of its ability to extract features from an image. The Euclidean distance metric is used for calculating the similarity between the query image and the database images. It is implemented using the COREL database. The proposed system is successfully evaluated using precision, recall, and F-score. The performance of the proposed method is evaluated using the precision and recall.
Identify of Factors Affecting Information Security Awareness and Weight Analysis Process
Authors:   PhD student, Center for Advanced Computing Technology (C-ACT), Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka (UTeM) Durian Tunggal, Melaka,, Al-Shanfari Issam , Yassin Warusia ,   Senior lecturer, Center for Advanced Computing Technology (C-ACT), Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka,, Abdullah Raihana ,   Senior lecturer, Center for Advanced Computing Technology (C-ACT), Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka,
Published: March 2020

Information exchange is a key aspect of using technology in everyday life. Crimes associated with the lack of information security awareness (ISA), misuse and carelessness are on the increase and often result in heavy losses and serious consequences. In order for ISA campaigns and programmes to be effective, the most successful and influential factors must be employed in the human component of the security awareness process. The purpose of this study is to investigate the causes of human breaches to information security and undertake a weight analysis of the models’ predictors’ relationships utilised in ISA literature from the current decade. Usable data were collected from twenty-one empirical studies related to ISA research in order to obtain the correlations required to perform a weight analysis process for a predictor's relationships. The relationships examined in all studies used in this research (significant–nonsignificant) are presented in a diagram. Findings show that six independent variables were found to be classified as ‘wellutilised’ variables, and the rest of the independent variables converge at the ‘Promising’ classification level. Contributions, limitations and directions of future work are presented.
Blended Learning Effectiveness in Higher Education
Authors:   PhD Student, Department of Computer Science, Jain university., B Tulasi. , R Suchithra. ,   Associate Professor Department of MS(IT) , Jain University).
Published: March 2020

Blended learning is one of the most evolving teaching learning pedagogy. Educational institutions across disciplines are adopting the blended learning environment.. The new generation of students also known as millennials are digital natives. They are tech competent and prefer to use of technology in all areas. So it is very natural for teaching learning to be more technology oriented. But it is still essential to identify the willingness of the students to adopt the digital transformation in teaching learning.. Blended learning brings in the advantages of both traditional class room teaching and online or virtual learning. The current study tries tounderstand students’ willingness for a blended learning model approach and also tries to finds the effectiveness of blended learning model.
The Suitability of Porous Material to Simulate Evaporation in Human Sweating Mechanisms
Authors:   Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia., Kelundapyan Rhubenthiraan , Yong Lee Yee ,   , Department of Civil Engineering, Faculty of Engineering Universiti Malaysia Sarawak, Kota Samarahan, Malaysia., Zakaria Mohd Azuan ,   Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia., Nagapan Sasitharan ,   Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia., Segaran Viknheswar Chandira ,   Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia.
Published: March 2020

This study aims to determine the suitable porous material that can simulate human sweat evaporation rate for preliminary thermal comfort assessment. The objective of the study was to identify the relationship of human sweat evaporation rate with porous material evaporation rate. Field experimental has been conducted to measure the evaporation rate of porous material such as red clay, white clay, plaster and human sweat. Then, the correlation analysis was conducted between porous material evaporation rate and human sweat evaporation rate. The collected data were analyzed by using SPSS 20 and Microsoft Excel 2016 tools. Pearson correlation were used as statistical analysis to find the relationship between both variable. The statistical significance level was set at P< 0.01. Based on the findings, human sweat evaporation rate had a moderate correlation with red clay (r = 0.583) and white clay (r = 0.503) with statistically significant but very weak correlation with plaster (r = 0.020). The porous characteristics of red clay and white clay has the capillary effect which is almost like human skin by showing a good correlation between human sweat and porous material evaporation rate. As this is preliminary study, in future more research to be done to obtain higher correlation between porous material and the human body by modifying the material. To minimize heat stress, it would be a step forward in evaluating outdoor thermal comfort and raising awareness of society and government.
x Unit like TT4V Text-based Testing Environment for Voice based Services
Authors:   Department of Computer Engineering, Hyupsung University, Hwaseung, Kyunggi, South Korea., Yoon Hoijin
Published: March 2020

Like traditional software products, voice-based services should be tested. However, during testing, the service is activated and executed by a spoken command. Speaking the command for every test case would be very time consuming. TT4V saves testing time by enabling text-form test cases instead of voice-form test cases. It implements an xUnit-style interface. xUnit has been a de facto standard framework for testing tools for many years. Without TT4V, we roughly measured the time to speak 55 commands, listen to 55 responses, and then verify the correctness of the responses. First, we ran five of the 55 test cases without TT4V, and it took 28.03 seconds. For 55 test cases, it would be multiplied by 11 roughly. We ran 55 test cases using TT4V. It took only 0.61 seconds from executing the test cases to showing the analysis of the testing results.
Patient Monitoring System for Smart Multi Speciality Healthcare Centre using Internet of Things IoT
Authors:   Research Scholar, Rajah Serfoji Government College, Thanjavur, Affiliated to Bharathidasan University, Tiruchirappalli-620024, Tamil Nadu, India, Thiyagarajan K. , Kumar K. Mohan ,   Head Of Department, Department of Computer Science, Rajah Serfoji Government College, Thanjavur, Affiliated to Bharathidasan University, Tiruchirappalli-620024, Tamil Nadu, India.
Published: March 2020

A healthcare centre is an organization in which effective treatment is given to patient for their health problems using specialized staff and equipments. Here patient’s information is stored in computer databases and retrieved when the further treatment is needed. At present all the information are stored into database and retrieved with human intervention. The human part of this system is error prone and often leads to inconsistencies in treatment. It may create severe problems in patient’s health related problems. With the advent of technology in the modern era these problems can be eradicated and improvements can be made in patient care by eliminating the unnecessary burden. Even though modern technology is often used in hospitals for many purposes, it is not concentrated in the reduction of patients waiting time. The waiting time cannot be taken lightly as it leads to increase in their blood pressure and mismanage their valuable time, also increasing healthcare centre’s expenses in an indirect manner by providing water facility, air conditioning facility etc. The manual token issuing system maintained in many healthcare centres is obsolete due to the improper handling of the queue by hospital staff. If it is automated through IoT, these problems will be sorted out completely. If a system is designed to reduce the patient’s unnecessary waiting time, it will be of immense importance for both the healthcare centre management and the public. So, this paper provides a solution to eradicate this problem
Developing a Conceptual Model for the Intention to Adopt CC Saas
Authors:   ASDO Research Laboratory, School of Computing, Universiti Utara Malaysia, Sintok 06010 Malaysia, Hadi Hiba Jasim , Othman Nafishah ,   ASDO Research Laboratory, School of Computing, Universiti Utara Malaysia, Sintok 06010 Malaysia, Osman Wan Rozaini Sheik ,   ASDO Research Laboratory, School of Computing, Universiti Utara Malaysia, Sintok 06010 Malaysia.
Published: March 2020

Cloud Computing (CC) is an evolving information technology paradigm providing on-demand IT resources on a pay-as-you-go basis. A cloud computing service model called Software as a Service (SaaS) emerged to offers IT services, effectively utilise computing and power consumption while achieving performance, decreasing cost, and increasing revenue. However, the adoption rates of CC-SaaS among the organisations are inadequate, and its diffusion is not fully explored due to issues related to data security, privacy concerns and trust which affects the adoption of CC-SaaS. There is a lack of empirical studies investigating factors affecting the adoption of CC-SaaS from the organisational perspectives specifically in Iraq. Therefore, the primary aim of this study is to identify the most influencing factors for the intention to adopt CC-SaaS in Iraqi organisations. In order to meet the primary aim, such factors are reviewed and selected from the literature on a high frequency of occurrence and developed the proposed model. The result of the factors is validated by expert and the values of assessment are statistically analysed using SPSS for t-test analysis. The proposed model can give a guide for the decision makers to plan the successful adoption of CC-SaaS in the organisation.
The Relation between Effective Temperature and Thermal Sensation Vote in Tropical Vernacular Houses
Authors:   Department of Architecture, Qur’anic Science University, Wonosobo, Indonesia, Hermawan  , Prianto Eddy ,   Department of Architecture, Diponegoro University, Semarang, Indonesia., Setyowati Erni ,   Department of Architecture, Diponegoro University, Semarang, Indonesia.
Published: March 2020

One of the factors to enable energy efficiency in buildings is creating thermal comfort for the occupants of buildings so that the artificial vaporization is not required. The thermal sensation vote (TSV) is an indicator in analyzing the occupants’ satisfaction on the thermal comfort of their buildings. Some climate variables that relate to the TSV include air temperature, humidity, and wind speed. The three variables can be combined into a variable using a psychrometric chart. The combined variable is known as an effective temperature. The present research aims at analyzing the connection between effective temperature and TSV in vernacular houses in the tropical mountain and beach locations and comparing the results of the analysis. The quantitative method was employed in the research by measuring the variables of climate using a thermal measuring instrument. The TSV was measured with ASHRAE (American Standard of Heating, Refrigerating, Air-Conditioning Engineer)’s seven-point sensation scale. The measurement was carried out in transitional periods from the dry season to the wet season. Interpretation of graphs and charts was made for analysis based on the variable of effective temperature. The results of the research indicated that there was a connection between effective temperature and TSV. The effective temperature in vernacular houses in tropical mountain locations tended to be lower, and therefore the cool thermal sensation had the greatest percentage of TSV. Meanwhile, the effective temperature in tropical beach locations tended to be high, and therefore the warm thermal sensation had the greatest percentage. In a neutral scale, the percentage of TSV in tropical mountain locations was greater than that of TSV in tropical beach locations. Therefore, it is concluded that the occupants of vernacular houses in tropical mountain location felt more comfortable than those of vernacular houses in tropical beach locations.
FBCFFS Based Authentication Method for Node Privacy Message in WSN
Authors:   Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea., Ahn Jung-sub , Cho Tae-ho ,   Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
Published: March 2020

In wireless sensor networks (WSNs), the design of the energy management of the nodes and report security are important. In particular, many studies have focused on maintaining report in applications where an Internet of Things (IoT) system is connected with a WSN, with the IoT actuator operated based on measured data of WSNs. A Fuzzy-based Cluster-based False Data Filtering Scheme (FBCFFS), which can dynamically adjust security in a vulnerable network situation, maintains security using the cluster state information of the network. This scheme uses fuzzy logic, a type of rule-based expert system. The fuzzy logic system of the FBCFFS determines security strength based on network monitoring information. However, previous work with the FBCFFS has not addressed the security of the cluster information. Thus, there exists risk of data transformation at the middle transmission step in the previous approach. In addition, the node periodically transmits state information to the base station, which is inefficient in terms of network lifetime management. In this paper, we provide a method to secure the state information message and to reduce the communication cost by controlling the number of messages.
International, National and Local Languages OCR Segmentation of Running Hand Scripts
Authors:   professor (ECE) Wellfare Institute of science Technology & Management Pinagadi Village, Near Pendurthi, Andhra Pradesh, Kumar B.Hari , Chitra P. ,   Professor Department of ECE, Sathyabama Institute of Science and Technology
Published: March 2020

Script Segmentation of running hand scripts is a complicated job because of different hand writing styles and complex formational quality. Segmentation of moving hand script in Indian language is a difficult assignment .The incident of a title, crossway nature in the mid section & half nature makes the segmentation process is more difficult. Sometimes, the import space and noises make line shatter a hard task. Without disconnecting the nudge characters, it will be complicated to recognize the character; hence shatter is needed for the moving texts in a word. So, the technique, according to that first step will be pre-processing of a term, then we can identify the joint points, form the bounding boxes around all perpendicular & parallel lines of the script , finally splint the nudge nature based on their height and width. For non-touching printed scripts and running hand scripts, it gives us 95% and 90%result respectively. This technique fails for some hand written characters because of obligation that means cause will not match always to a lot of variation in the different handwriting scripts i.e., character like occurs problem as space in the middle of parts in scripts that can be resolve by identification system because of this system considers initial part as non-bar character and cut after that, as the future exertion is a concern, in this go these different characters as input to the character identification system. In this method have resolute control of a word which will once more helpful for the identification system to perceive bottom modifiers and higher modifiers. This running hand scripts technique can be applicable to other Indic languages hand written scripts.
Experimental Selection of Machine learning Techniques and Image features to Detect “Cactus” Diseases
Authors:   lecturer department of Computer Science Aksum University, Ethiopia, Beyene Hailay , Joshi. Narayan A. ,   Professor & Head, Dharmsinh Desai University, Nadiad.
Published: March 2020

Image is a very important data in machine learning. In order to select better features, feature extraction techniques and classifiers, intensive experiments are taken place using data. In this work, best feature, feature extraction technique and machine learning classifier are selected experimentally. Hence, bag of features were the best features experimentally out of color, texture and bag of features. Of color histogram, bag of features and GLCM (Gray-level co-occurrence matrix), bag of features extraction technique is found to be the best one experimentally. Of the machine learning classifiers shown in the scatter plot and confusion matrix, linear support vector machine is selected and the achieved accuracy is 97.2%.
Rain Attenuation Predicted Model for 5G Communication in Tropical Regions
Authors:   Department of ECE, Techno International Newtown, Rajarhat, kol- 700156, India, Patra Trilochan , Mitra Swarup Kumar ,   Department of ECE, MCKV Institute of Engineering,Liluah,Howrah-711204, India
Published: March 2020

The signals operating at higher microwave frequency ranges get attenuated in the tropical regions where heavy rainfall occurs. Controlling of Signal fading for establishment of efficient link plays an important role in the heavy rainfall regions. Here rain attenuation predicted model has been designed in sub- 6 GHz and mm Wave bands. This predicted model is applicable to the tropical regions where heave rainfall occurs. Frequency variation technique has been adopted to execute the research work. The estimated rain attenuation depends on International Telecommunication UnionR rain mitigation forecast technique utilizing assessment of rain in the tropical regions of South East Asia.The frequency ranges used here for variation techniques are respectively 3.6 to 4.2 GHz, 4.4 to 4.9 GHz, 27.5 to29.5 GHz, 37 to-40 GHz and 64 to71 GHz. In the previous works [1] it is observed that only lower fade margin has been considered for communication link design .As the fade margin increases, the communication link seems to be more reliable. In this paper the fade margin has been increased and it has been chosen from 12dB to 16dB. This predicted model will yield better result than that of ITU-R model.
Design and Analysis of Digital IIR, Fir Bandpass Filter using DSK6713 Kit
Authors:   Department of Electronics and Communication Engineering, Sreenidhi Institute of Science and Technology, Affiliated to Jawaharlal Nehru Technological University, Hyderabad, Telangana, India., Chary V. Rajendra , Kumar M. Shiva ,   Department of Electronics and Communication Engineering, Sreenidhi Institute of Science and Technology, Affiliated to Jawaharlal Nehru Technological University, Hyderabad, Telangana, India., Raju A. Ramakrishna ,   Department of Electronics and Communication Engineering, Sreenidhi Institute of Science and Technology, Affiliated to Jawaharlal Nehru Technological University, Hyderabad, Telangana, India., Sandhya M. ,   Department of Electronics and Communication Engineering, Sreenidhi Institute of Science and Technology, Affiliated to Jawaharlal Nehru Technological University, Hyderabad, Telangana, India.
Published: March 2020

A digital filter is advantageous over analog filter. Some of its advantages are less complexity, flexibility, portability when compared with analog filters. In this paper, the design of digital IIR and FIR band pass filter is done using DSK6713 hardware kit, the software used is code composer studio 6.0.1. This code composer studio 6.0.1 is used to write the code in c language, which is then dumped on to DSK6713 kit, fda tool of matlab is used for designing coefficients for IIR and FIR filter. Further, the detailed design steps are illustrated in this paper
Globally Controlled Robot using IoT
Authors:   UG Student, Department of Electronics and Communication Engineering, Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu,India, Praveen T.N.V.S. , Shanthi S. ,   Professor, Department of Electronics and Communication Engineering, Chennai, Tamil nadu, India.
Published: March 2020

Nowadays, robots in military have become an alternative to human soldiers. Theses robots are in a position to handle different types of operations. They should be able work in different situations and areas. This paper presents the development of a robot with sensors, surveillance camera and a microcontroller. The main purpose of the robot is to prevent the terrorist attack throughout the world by monitoring and controlling of mobile robot via internet. An Arduino microcontroller board has been use of for this. The control and monitoring of robot is through an application, connected to web page. The Camera connected to the robot acts as the eye and the PIR sensor will detect the person or object that enters into the surveillance area. Whenever a suspicious person or object is found, an alarm would be generated and sent to defined authorities. These robot can be controlled from anywhere in the world by using IOT.
Electronic Differential Control of Independent Wheel Drive NEV using Drive Current Balancing Strategy
Authors:   Department of Electronics and Communication Engineering. Technology from Tezpur University, Assam, India., Barman Pranjal , Sharma Santanu ,   Associate Professor. electronics and communication engineering from Tezpur University, Tezpur, India,
Published: March 2020

This paper presents the design and real-time implementation of an electronic differential speed control system (EDSC) for a neighborhood electric vehicle (NEV) with a decentralized power train configuration. The EDSC supervises the desired speed variation of the drive motors of the vehicle at various turning trajectories. The core focus of this design is to reduce the system complexity, computation delay and design expenses with an aid of a newly proposed drive current balancing algorithm (DCBA). The embedded DCBA based EDSC allocates the necessary torque to each wheel solely depending on the motor current variables. Thus, it eliminates the necessities of typical feedback variables-steering and speed to control the EDSC. The developed system performance is being investigated in situ real time on-board experiment. Results in the context of response time, design simplicity and performance reveal the effectiveness of the proposed framework.
Smart garbage level Monitoring using iot
Authors:   pursuing Final year, ECE Department, Saveetha School of Engineering, Kuthambakkam, Tamil Nadu, Mastan Sk. Khaja , Raja M. ,   Assistant professor, ECE Department, Saveetha School of Engineering, Kuthambakkam, Tamil Nadu
Published: March 2020

In latest few years we can examine quick increase in urban improvement plans, the concept of smart cities. While the concept comes up for Smart cities there's a requirement for Smart waste management. The important aim of Garbage tracking system is for the Smart buildings, Colleges, Hospitals and Bus stands to hold cleanliness. The Garbage tracking device theory is an improvement of regular dustbin by increases it to be smart using IR sensors. Garbage monitoring device is a new Technology of implementation which makes a regular dustbin smart using ultrasonic sensors for rubbish level monitoring and detection, it video display units and sends message to the concern department committee updating the status of the bin the usage of GSM modem when bin is
Quality Assessment of Strengthened Concrete by FRP Laminates using Non Destructive Testing
Authors:   Civil Engineering Department, Helwan University, Cairo, Egypt., Tawhed W. F. , Elsayed Yasmen R. ,   Civil Engineering Department, Helwan University, Cairo, Egypt
Published: March 2020

A non-destructive testing program has been designed to evaluate the integrity of the bond strength of plain concrete beams strengthened by Glass Fiber Reinforced Polymer (GFRP) Laminates. A series of concurrent static load and non-destructive testing experiments were carried out in the materials and testing laboratory at the college of engineering, Mataria, Helwan University, Cairo, Egypt. A total of 90 plain concrete standard beam specimens of dimensions 150 mm x 150 mm x 750 mm were constructed in the laboratory with three different design strength categories (38, 45, and 50) MPa. The beam specimens were strengthened by externally bonded GFRP laminates with various number of layers namely (3, 5 and 7) layers. In addition, the effect of debonding of the GFRP laminates was investigated by simulating it by variation in voids between concrete and laminates namely, (0, 30 and 60%). This study investigates the effectiveness of externally bonded GFRP laminates on the flexural strength of plain concrete beams by using Ultrasonic Pulse Velocity (UPV) device before and during loading until failure and their effect on the p-wave velocities. Four-point flexural tests were performed on the concrete beams, strengthened with different layouts of GFRP laminates and different percentage of voids at the concrete-laminate interface. The capacity of the beams and p-wave velocity were investigated. It was found that as the percentage of voids decreased, the capacity of strengthened concrete beams increased linearly. The reduction in voids enhanced the beam flexural behavior and controlled tension crack propagation. In addition, it was observed that use of GFRP laminates were more effective with higher concrete characteristic strength provided that debonding is not present. Finally, it was evident that the UPV technique was successful in detecting the variation in concrete p-wave velocity with strength and laminate layers variation.
Automatic Gate using Face Recognition Technique using HAAR Cascade Algorithm
Authors:   Electronics and Communication Engineering, Saveetha School of Engineering, SIMATS Chennai, Tamilnadu, India., kumar N. Dileep , Shanthi S. ,   Electronics and Communication Engineering, Saveetha School of Engineering, SIMATS Chennai, Tamilnadu, India.
Published: March 2020

Now a day, in every single person households it is important to check regularly regarding their safety. Especially for elderly people it is mandatory, because they have become a target for certain burglars which leads to higher accidents/robberies in almost all the areas. To decrease the risk of such unwanted happenings in living space for single-person households, the hybrid security system should be adopted. The automatic personal identification has become the popular instead of using passwords or pattern in this days. This paper addresses the development of a face recognition technique for the above mentioned purpose.
Fine Fuzzy Closed Sets in Fine Fuzzy Topological Spaces
Authors:   Department of Mathematics, Sri Sarada College for Women(Autonomous), Salem, India,, Nandhini R. , Amsaveni D. ,   Department of Mathematics, Sri Sarada College for Women (Autonomous), Salem, India,
Published: March 2020

The main view of this article is the extended version of the fine topological space to the novel kind of space say fine fuzzy topological space which is developed by the notion called collection of quasi coincident of fuzzy sets. In this connection, fine fuzzy closed sets are introduced and studied some features on it. Further, the relationship between fine fuzzy closed sets with certain types of fine fuzzy closed sets are investigated and their converses need not be true are elucidated with necessary examples. Fine fuzzy continuous function is defined as the inverse image of fine fuzzy closed set is fine fuzzy closed and its interrelations with other types of fine fuzzy continuous functions are obtained. The reverse implication need not be true is proven with examples. Finally, the applications of fine fuzzy continuous function are explained by using the composition.
Delay Analysis of Raw Water Reservoir and Pumping Station
Authors:   Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India., Malagavelli Venu , Chetlapally Bala Krishna ,   Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India., Bollini Prasad ,   Department of Civil Engineering, CMR College of Engineering and Technology, Kandlakoya, Hyderabad, India.
Published: March 2020

Inadequate or feeble preliminary work prior beginning of development of any structure may become the root for difficult issues during the development time span. Therefore, the expense of development increments digressively, the development length of the task expands and the standard of development is influenced unfavorably. This examination harps on the significance of development plans in accomplishing the point of creating great quality development work inside the predefined span. Checking constantly the interrelated connection regarding delays in development plans and contractor orders is an entangled procedure. Here the easiest and fundamental methodology is that, both for proprietor and contractor, time is cash and consequently development plan deferrals ought to be broke down and remedial measures ought to be taken in a convenient way. The principle motivation behind this examination is to research the reasons for development plan delays and the techniques for plan delay investigations. In this examination, the completion development works of a “Raw water Reservoir and Raw water Pumping Station” at Bommakal village in Karimnagar District was chosen as a contextual investigation for examining task planning and the delay analysis. The fundamental reason for this examination is to recognize the defer aspects and the impact on the undertaken work fulfillment. This investigation adopts a coordinated strategy and tries to examine the influence of consequence. A survey was led to distinguish the circumstances and end results delay from contractor and customer. From the examination, it is distinguished that the most significant deferrals from a list 20 distinct causes and 4 distinct impacts of postponements and the suggestions to diminish the postponement. The actual arranged schedule is 713 days and updated proposed schedule is 683 days the total delay was 30 days.
Intelligent Video Surveillance using Deep Learning
Authors:   Department of CSE, Dnyanshree Institute of Engineering and Technology, Satara, India., Gujar Vijay Bhanudas , Shaikh Arbaaz ,   Department of CSE, Dnyanshree Institute of Engineering and Technology, Satara, Maharashtra, India., Bagwan Alim ,   Department of CSE, Dnyanshree Institute of Engineering and Technology, Satara, Maharashtra, India., Dixit Pooja ,   Department of CSE, Dnyanshree Institute of Engineering and Technology, Satara, Maharashtra, India., Todkar Nidhi ,   Department of CSE, Dnyanshree Institute of Engineering and Technology, Satara, Maharashtra, India.
Published: March 2020

Now days, Big data applications are having most of the importance and space in industry and research area. Surveillance videos are a major contribution to unstructured big data. The main objective of this paper is to give brief about video analysis using deep learning techniques in order to detect suspicious activities. Our main focus is on applications of deep learning techniques in detection the count, no of involved persons and the activity going on in a crowd considering all conditions [9]. This video analysis helps us to achieve security. Security can be defined in different terms like identification of theft, detecting violence etc. Suspicious Human Activity Detection is simply the process of detection of unusual (abnormal)l human activities . For this we need to convert the video into frames and processing these frames helps us to analyze the persons and their activities. There are two modules in this system first one Object Detection Module and Second one is Activity Detection Module .Object detection module detects whether the object is present or not. After detecting the object the next module is going to check whether the activity is suspicious or not.