bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Domestic Tourist Perceived Risk on Revisit Intention in Malaysia
Authors:   Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Hashim Nik Alif Amri Nik , Yusoff Abdullah Muhamed ,   Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Awang Zaimatul ,   Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Aziz Roslizawati Che ,   Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Ramlee Shah Iskandar Fahmie ,   Faculty of Entrepreneurship & Business, Universiti Malaysia Kelantan, Bakar Nurzehan Abu ,   Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Mohd Noor Mohd Asyraf ,   Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Fatt Boyd Sun ,   Faculty of Hotel & Tourism Management, Universiti Teknologi MARA
Published: August 2019

Tourism research identified that the risk element has a significant impact on tourist intention to travel and tourist destination choice criteria. The connection between domestic tourists perceived risk and revisit intention has not been widely explored mainly in Malaysia context, but the existing studies suggest a close connection among them.This study aims to examine the affect tourist perceived risk toward their revisit intention to visit tourist destination in Malaysia. A total of 384 sample valid responses were obtained.The sampling method for domestic tourist was convenience sampling method. Data collection instrument was a questionnaire which adapting the self-administered questionnaire distributionThe Partial Least Square Structural Equation Model (SEM-PLS) was used to analyze the information. A Partial Least Square findings verified model fitness in the population studied. Similarly, the results of the path analysis found that the intention of visiting tourist destination in Malaysia was affected by physical and financial risk.
Radiated Force due to Surge Motion by a Pair of Submerged Cylinder in Water
Authors:   Mathematics department, North Eastern Regional Institute of Science and Technology, Nirjuli, Itanagar, India, Borah Pankaj , Konch Nijara ,   Mathematics department, B. Borooh College, Guwahati, India,
Published: August 2019

Evaluation of hydrodynamic coefficients due to surge of submerged structure is great significant to designing a device which can be consider as a device of wave energy. In the present work, a theoretical approach is developed to describe radiation of water wave by fully submerged cylinder placed above a submerged circular plate in water of finite depth which is based on linear water wave theory The radiation problem due to surge motion by this pair of cylinders have investigated with the suspicion of linear water wave theory. To determine the radiated potentials in every area, we utilize the eigenfunction expansion method and variables separation method. Finally, we derived the analytical expressions of Hydrodynamic coefficients i. e. added mass and damping coefficient due to surge and associated unknown coefficients are calculated by utilizing the matching conditions between the physical and virtual boundaries. A set of added mass and damping coefficient have presented graphically for various radius of the submerge cylinder.
Real-Time Irrigation Scheduling Through IoT in Paddy Fields
Authors:   Department of Computer Science, Periyar University PG Extension centre, Dharmapuri. Tamil Nadu, India., Revathi N. , Sengottuvelan P. ,   Department of Computer Science, Periyar University PG Extension centre, Dharmapuri. Tamil Nadu, India.
Published: August 2019

Considering the water utilization and conservation needs in agriculture it would be essential to have very accurate water irrigation schedule to save water. Appropriate bonding of water to the paddy field would be essential to meet the moisture demand unto 75% to reduce the risk of plant stress and yield loss. Data features such as Evapotranspiration; Permeability of the soil, Drainage, The length of the growing season, the levelness of the soil surface has to be considered to recommend the irrigation scheduling. In this paper we are developing a model which would base on Seasonal data and other data determine the water scheduling requirements for the day or week ahead. This would also help in planning the water needs well ahead. The research identifies delta and non-delta regions of TamilNadu to determine the evapotranspiration based on the climatic data available and discusses the architecture components required for the real time data acquisition and ingestion mechanism. It determines the ET0 and maps it with the FAO based reference model for the implementation.
AI-based Short-Term Electric Time Series Forecasting
Authors:   Department of Electrical Engineering, Sam Higginbottom University of Agriculture, Technology And Sciences, Prayagraj, India., Singh Anamika , Srivastava Manish Kumar ,   Department of Electrical Engineering, Sam Higginbottom University of Agriculture, Technology And Sciences, Prayagraj, India., Singh Navneet Kumar ,   Department of Electrical Engineering, Motilal Nehru National Institute of Technology, Prayagraj, India.
Published: August 2019

In current scenario of various electrical profiles like load profile, energy met profile, peak demand, etc. are very complex and therefore affected proper power system planning. Electrical forecasting is an important part in proper power system planning. Classical models, i.e., time series models and other conventional models are restricted for linear and stationary electrical profiles. Consequently, these models are not suitable for accurate electrical forecasting. In this paper, artificial neural network (ANN) based forecasting models are proposed to forecast hydro generation, energy met and peak demand. Auto-regressive (AR), moving average (MA), Auto-regressive Moving average (ARMA) and auto-regressive integrated moving average (ARIMA) are also developed to show the effectiveness of ANN based models over time series models. Additionally, best selection of hidden neurons in ANN is also shown here.
Management of Construction & Demolition Waste In Pune City
Authors:   M.TECH. in Construction Engineering & Management from MIT-WPU, PUNE, Madavi Kamlesh V. , Dod Prof. Dr. Ramesh D. ,   Professor, Department of Civil Engineering and Guide. MIT-WPU, PUNE
Published: August 2019

The construction boom in Pune is leading to generation of enormous of Construction & Demolition (CDW) waste and this trend is likely to further increase in recent decades. Pune is fast paced city and is known as IT and automobile hub of county with rapid growing population. A city with dynamic construction and real estate industry reinforced by some public infrastructure project of transportation and utilities. Rapid development has led to increase in construction activities in the city leading to increases in quantities of construction and demolition waste generated in the city. In this paper, content analysis approach was adopted to analyse the information collected from previous literature, government reports and information retrieved from relevant Construction & Demolition (CDW) waste management rules. This paper focuses on quantity & source of Construction & Demolition CDW waste; also reflects current scenario of disposal and its effects. It is anticipated that the collection plan could help in management of construction & demolition waste and in reduction of illegal dumping.
Personalized Medical Information Filtering using Evidence Phrases
Authors:   Research Scholar, Department of Computer Science, Alagappa University, Karaikudi, India, Annalakshmi Mu. , Padmapriya Dr. A. ,   Associate Professor, Department of Computer Science, Alagappa University, Karaikudi, India.
Published: August 2019

Finding the required information in the field of medicine from the World Wide Web has been a challenging task for the users since large number of medical research documents are added to it every day. Personalization of web search would help the professionals or beginners in medicinal field in retrieving the relevant information. The proposed method gathers the users’ browsing patterns from the browser and builds evidence phrases based on factors like visit count, bookmarks or downloads. These evidence phrases determine the rank of the websites in the search results. The proposed method is evaluated with the relevance data collected from allied medical professionals. Evaluation shows that the proposed method ranks the user preferred pages in the top of the search results. It helps the users from the field of medicine to find their information needs more quickly without surfing all the search results of the query.
Evaluation of Phonetic System for Speech Recognition on Smartphone
Authors:   computer science and engineering department, Sant Gadge Baba Amravati University, Amravati, India, Dharmale Gulbakshee J. , Patil Dipti D. ,   Information technology department, MKSSS’s Cummins College of Engineering for Women, Pune, India.
Published: August 2019

This paper presents detailed study and performance evaluation of phonetic system by comparing it with various classification techniques of automatic speech recognition such as Neural Network, Hidden Markov Model, Support Vector Machine and Gaussian Mixture Model. In the phonetic system, recognized speech is processed by using language processing i.e. matching phonemes and hence generates more correct output text. The accuracy of speech recognition of ASR classifier and phonetic system is evaluated on day to day human to machine communications, using high-quality recording equipment, while the results for enhancement of existing systems is done on everyday android phones, and evaluated for normal conversations in Hindi and English language. Classifier is used to classify the fragmented phonemes or words after the fragmentation of the speech signal. Different classification techniques are implemented and comparing accuracy of speech recognition of different classifier. It is seen that GMM is better at the classification of signal data, outcomes of performance evaluation shows that GMM outperforms the other three classifiers in terms of accuracy by more than 20%. This result is compared with implemented phonetic system which shows that ASR accuracy, using phonetic system is better than GMM. We observed 6% improvement in ASR accuracy with phonetic system.
IoT Standards and Applicability to Human Life
Authors:   Computer Science and Engineering, Maharishi Markandeshwar Deemed To Be University, Mullana (Ambala), India., Vatan  , Sharma Avinash ,   Professor, Maharishi Markandeshwar Engineering college,Mullana,Ambala (Haryana) Constituent institution of Maharishi Markandeshwar University, Mullana, Haryana, India., Goyal Dr.Sandip ,   Professor, Maharishi Markandeshwar Engineering college,Mullana,Ambala (Haryana) Constituent institution of Maharishi Markandeshwar University, Mullana, Haryana, India.
Published: August 2019

A member of the Radio Frequency Identification Development (RFID) Association originated the idea of IoT in 1999. Currently it become more applicable to the practical universe due to the growth of mobile appliances, installed and global information, cloud computing and analysis of data. At present IoT acquired a large observation from researchers because it beseems a significant machinery which assurance smart human life by recognizing communication theory between articles, gadgets and every belonging of human beings. Presume wherever millions of objects can feel, convey and share knowledge, all inter-related through either public or private Internet Protocol networks. These inter-connected objects have constantly composed the data, evaluate and used to commence act, supplying abundance of knowledge for designing, control and judgement making. This is exactly the world of IoT (Internet of Things). IoT describes a manner that comprise things of the actual world and detectors connected to these things, attached to the internet by guided and unguided network design. The IoT detectors can employ various types of attachments such as RFID, Wireless-Fidelity, Bluetooth and ZigBee. Additionally IoT approves broad domain connectivity by adopting many automations e.g. Global System Mobile communication, General Packet Radio Services, 4G and Long Term Evolution. IoT empowered objects will share knowledge of the provision of things, the nearby atmosphere with people, operating systems and other appliances of IoT related with technology. Since the Internet of Things will produce a medium of smart city, healthcare, connected houses and architecture in extension to several significant applicabilities such as smart power, networks, conveyance, garbage control so that the universe will become smart in every aspects.
Vortex Prediction in a Pump Intake System Using Computational Fluid Dynamics
Authors:   Hydraulic Machinery and Cavitation (HMC) Division, Central Water and Power Research Station, Pune, India., S. Ajai , Kumar K. ,   Hydraulic Machinery and Cavitation (HMC) Division, Central Water and Power Research Station, Pune, India., Rahiman P. M. Abdul ,   Hydraulic Machinery and Cavitation (HMC) Division, Central Water and Power Research Station, Pune, India., Sohoni V. S. ,   Department of Civil Engineering, BharatiVidyapeeth Deemed University, College of Engineering, Pune, India., Jahagirdar V. S. ,   Department of Civil Engineering, BharatiVidyapeeth Deemed University, College of Engineering, Pune, India.
Published: August 2019

A pump intake system consists of forebay, pumpbay and pipeline arrangements through which water flows in order to meet its demand. Vortices and velocity fluctuations affects the performance of a pump intake system. This paper presents the vortex prediction in a pump sump for varying flow conditions across the pump bay and the bellmouth section, using computational fluid dynamics (CFD) code Flow 3D. Geometry of rectangular type sump was chosen for comparing the physical experimentation with the computational model. The velocity fluctuations, location of vortex formation and its profiles predicted by CFD code was compared with that of the physically observed experiments. The velocity and fluid flow profiles predicted by CFD correlated well with the flow conditions observed during the physical experiments. Further, characteristics of vortex were also studied with respect to the velocity change. Increase in the wobbling phenomenon of the vortex with increase in the flow velocity was also identified with the computational studies. CFD can be used as a tool to study the preliminary design of a hydraulic system for a particular field condition, thus complementing the physical model studies to facilitate the construction of an optimized and effective pump intake system.
Role of EEG for Diagnosis of Alzheimer Disease
Authors:   Research Scholar, Department of E&TC, AISSMS Institute of Information and Technology, Pune, India and Assistant Professor, Department of E&TC, ZCOER, Pune, India., Elgandelwar Prof. Sachin M. , Bairagi Dr. Vinayak K. ,   Professor, Department of E&TC, AISSMS Institute of Information and Technology, Pune, India.
Published: August 2019

In the recent years, costliest Alzheimer disease (AD) is now primary reason for the cause of death. An early finding is essential as there is no cure for severe AD. Despite recent advances, early finding of Alzheimer disease from electroencephalography (EEG) remains a difficult job. In this paper, we focus a spectral and signal complexity measures through which such early findings can possibly be improved. Power spectral and nonlinear features, which have been utilized for classification of Alzheimer disease subjects (ADS) from the normal healthy subject (NHS). So far, the power in the various EEG bands has been intensely analyzed. The main aim of this research article is to study the power and nonlinear analysis for the finding of AD to consider as a probable biomarker to recognize AD subject and normal healthy subject. Relative power (RP) was independently calculated from various EEG bands which indicate the slowing of EEG signals acknowledge the Alzheimer disease subjects. In this study, EEGs signal had been acquired at the rest condition from 20 normal healthy subject whose age around 60 years along with same number of Alzheimer disease subjects. The result shows that relative power is increased towards lower frequencies while decreased towards higher frequencies in AD. Such analysis of power may additionally explore to differentiate Alzheimer disease’s stages.
Performance Improvement of Intrusion Detection Systems
Authors:   Department of Information Technology, College of Engineering and Technology, Bhubaneswar, India., Mishra Debi Prasad , Mahapatra Satyasundara ,   Department of Computer Science and Engineering, Pranveer Singh Institue of Technology, Kanpur, India., Pradhan Sateesh Kumar ,   Post Graduate Department of Computer Science, Utkal University, Bhubaneswar, India.
Published: August 2019

Intrusion Detection Systems (IDSs) have been crucial in defending intrusive attacks (both active and passive) in various application scenarios in recent trends. Over the years, many research activities have been carried out on intrusion detection systems. The IDSs have been evolved over times with various detection methodologies, approaches, and technology types. The IDSs after several evaluations and different approaches still face a major challenge-performance improvement. This improvement can be quantified in two broad ways- the detection rate and the rate of false positives. The improved performance involves the efficiency and accuracy of detection. The efficiency can be attributed to performance in case of a very high amount of attacks and the accuracy can be attributed to a significantly low amount of false positives. In the same context, we have found that the IoT networks which are in high demand in recent trends also suffer from such types of attacks in operational environments due to limited storage and processing capabilities. In order to protect the IoT application, the scenario necessitates the need of IDS that is lightweight in implementation and provides a significantly higher amount of accuracy which is at par with the IDSs implemented in conventional networks. In this work, we have proposed an improved technique for performance improvement of IDSs in IoT domain.
Smart Agricultural using Internet of Things, Cloud and Big Data
Authors:   CSE department, Brilliant Institute of Engineering and Technology, Telangana, India., kodati Sarangam , S Jeeva ,   CSE department, Brilliant Institute of Engineering and Technology, Telangana, India
Published: August 2019

Internet of Things (IoT) plays a crucial role in smart agriculture is an emerging concept, because IOT sensors are capable of providing information about agriculture fields and then act upon based on the user input. A smart agricultural system represents the usage of contemporary technology IoT. Because IoT sensors capable of providing information about their agriculture fields. The proposed aims making use of evolving technology i.e. IoT and smart agriculture using automation big data architecture in combination with cloud computing, mobile computing, big data, by access according to real-time information or data, forecasting, and monitoring of physical items and IoT development is expected to make a notable change in agricultural management and operations. This paper focuses filed monitoring using IoT devices which would provide live soil moisture, humidity and temperature of the field to the farmers.
Mitigating Economic Denial of Sustainability (EDoS) in Cloud Environment using Genetic Algorithm and Artificial Neural Network
Authors:   PG Scholar, Department of Computer Science and Engineering, NITTTR, Chandigarh, India., Nautiyal Swati , Krishna C. Rama ,   Department of Computer Science and Engineering, NITTTR, Chandigarh, India., Wadhwa Shruti ,   Department of Computer Applications, Post Graduate Govt. College, Chandigarh, India
Published: August 2019

Economic Denial of Sustainability (EDoS) is a latest threat in the cloud environment in which EDoS attackers continually request huge number of resources that includes virtual machines, virtual security devices, virtual networking devices, databases and so on to slowly exploit illegal traffic to trigger cloud-based scaling capabilities. As a result, the targeted cloud ends with a consumer bill that could lead to bankruptcy. This paper proposes an intelligent reactive approach that utilizes Genetic Algorithm and Artificial Neural Network (GANN) for classification of cloud server consumer to minimize the effect of EDoS attacks and will be beneficial to small and medium size organizations. EDoS attack encounters the illegal traffic so the work is progressed into two phases: Artificial Neural Network (ANN) is used to determine affected path and to detect suspected service provider out of the detected affected route which further consist of training and testing phase. The properties of every server are optimized by using an appropriate fitness function of Genetic Algorithm (GA) based on energy consumption of server. ANN considered these properties to train the system to distinguish between the genuine overwhelmed server and EDoS attack affected server. The experimental results show that the proposed Genetic and Artificial Neural Network (GANN) algorithm performs better compared to existing Fuzzy Entropy and Lion Neural Learner (FLNL) technique with values of precision, recall and f-measure are increased by 3.37%, 10.26% and 6.93% respectively.
Image Denoising by Hybridizing Preprocessed Discrete Wavelet Transformation and Recurrent Neural Networks
Authors:   Department of CSE, Noida Institute of Engineering &Technology, Greater Noida, India, Goel Raj Kumar , Vishnoi Shweta ,   Department of Physics, Noida Institute of Engineering and Technology, Greater Noida, India, Shrivastava Saurabh ,   Mathematical Science and Computer Application, Bundelkhand University, Jhansi, INDIA
Published: August 2019

In this paper, we are analyzing the performance of Recurrent Neural Network (RNN) for image recalling with improved training sets by Discrete Wavelet Transformation (DWT). DWT has been used for decomposing the images into four parts for low level feature extraction, to build the pattern information, encoding the pattern. When all the patterns of these four level training sets are encoded, and given as input to RNN to analyze the performance. This analysis is carried out in terms of successful and correct recalling of the images by hybridizing of DWT and RNN. Now we introduce salt and pepper noise so that the distorted feature vectors presented to the network. This gives a prototype pattern of noisy image and requires filtering of the training set. This leads to recalled output of the network that produces the pattern information for each part of the images. Now the integration is made possible if inverse discrete wavelet transformation (IDWT) to amalgamate the recalled outputs corresponding to each part of the image and final image is recognized.
Sluice Safety Reliability Analysis - Application for Baovan Sluice in Vietnam
Authors:   Thuyloi University, Hanoi, 100000 Ha noi, Vietnam., Nguyen Lan Huong , Nguyen Quang Hung ,   Thuyloi University, Hanoi, 100000 Ha noi, Vietnam.
Published: August 2019

The article summarizes the irrigation works designing methods in Vietnam and other countries. While in Vietnamirrigation systemdesign method is deterministic and based on safety factors analysis, in other countries it’s popular with random design and reliability analysis. This is a modern design model and widely used in many fields in the world. Therefore, in this study, the authors presented how to develop sluice reliability calculation method under system analysis approach: definition of sluice s, problem tree, reliability functions for system simulation, calculation of reliability for works and works system, calculate reliability Bao Van sluice in Thanh Hoa province according to the introduced calculation model and proposie solutions to improve the reliability of the sluice if repaired or upgraded
Design and Development of Smart Medicine Information System
Authors:   PG Scholar, GMR Institute of Technology, Rajam. India., pattanaik Rakesh Kumar , Kathirvelu M. ,   Professor, Department of ECE, GMR Institute of Technology, Rajam. India., Rao T. Govinda ,   Asst.Professor, Department of ECE, GMR Institute of Technology, Rajam. India.
Published: August 2019

Now a day’s people are forgetting to take their medicine due to busy in their work or old age peoples can’t remember the medicine timings and dosage of medicine. The healthcare services are using intelligent equipment’s for continuous monitoring of in-house patients. To overcome this situation an intelligent home based medicine box system with wireless connectivity along with an android application is proposed to help patients by getting prescribed medicine in time automatically. In the proposed system, manually one can set the medicine to be taken at different timings through the Android app and it will be transferred to microcontroller through Bluetooth of Technology. The proposed system will have medicine tray and in build real time clock which makes an alarm at the set period and controlling mechanism will open the corresponding boxes. The alarm will be switched off automatically once the medicine is taken from the medicine box. The application software will provide the voice message in case of patient is disabling in their eyes. The same information is conveyed to the duty attendees and predefined guardian for necessary action through the Internet of Things.
Converting from Service Level Agreement to Probabilistic Temporal Logic Specification
Authors:   Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia., Madinah Ab Hadi Nur Diana , Ismail Azlan ,   Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia., Rosli Nur Syazleen ,   Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia., Zambri Suzana ,   Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia.
Published: August 2019

The need for conversion method exists due to the limitation of manual conversion at design time whenever the interested party must perform some assessments using an existing model checker tool. Manual conversion of the related requirements into the respective specification language is time-consuming especially when the person has limited knowledge and need to do the task repetitively with a different set of Service Level Agreement (SLA) configurations. This paper aims to address the need to automatically capture non-functional requirements specified in the SLA, namely, Service Level Objectives (SLO) and converting them into a specific probabilistic temporal logic specification. We tackle this problem by proposing a conversion method that utilizes a rule-based and template-based approach. The conversion method automatically extracts the required information in SLA based on certain rules and uses the extracted information to replace the elements in the prepared template. We focus on WS-Agreement language for SLA and probabilistic alternating-time temporal logic with rewards specification (rPATL) for the properties specification used in PRISM-games model checker tool. We then implement an initial proof-of concept of a conversion method to illustrate the applicability of translating between targeted specifications.
Design of RF Energy Harvesting Patch Antenna for Wireless Communications
Authors:   Department of Electronics and Communication Engineering, Annamalai University, Chidambaram, Tamil Nadu, India., Rajeshkumar N. , Sathya P.D. ,   Department of Electronics and Communication Engineering, Annamalai University, Chidambaram, Tamil Nadu, India.
Published: August 2019

In this paper a single fed microstrip patch rectenna for harvesting ambient radio frequency energy is presented. The antenna comprises of a clover shaped radiating patch operating at 2.4GHz ISM band. The rectifier circuit is placed in the same plane of radiating patch to minimize the overall antenna profile. The antenna is modelled and are fabricated on low loss roger dielectric substrate. Measured results show that the antenna achieves a peak gain of 7.19 dB in the operating ISM band with maximum RF conversion efficiency of 79%. The proposed antenna is suitable for wireless energy harvesting applications operating in ISM band.
Design of the Configurable Watch Dog Timer using FPGA in Space Probe Application
Authors:   Depart. of Electronics and Communication Engineering Sathyabama Institute of Science and Technology, Chennai. Tamilnadu. India., Parekh Varsha , Divya Pogaku ,   Depart. of Electronics and Communication Engineering Sathyabama Institute of Science and Technology, Chennai. Tamilnadu. India., Srilatha K. ,   Assistant Professor, Depart. of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai,Tamilnadu. India., Chitra P. ,   Associate Professor, Depart. of Electronics and Communication Engineering. Sathyabama Institute of Science and Technology, Chennai. Tamilnadu. India.
Published: August 2019

Watchdog timer is a simple timer circuit. It is an indispensable part and is of paramount importance when coming to the embedded system. Most implementations of watch dog are simply based on simple feed dog strategy covering merely limited abnormal states of program. There are different types of watch dog timers due to the increasing need. They include Standard watchdog timer, Windowed watch dog timer, sequenced watch dog timer. But an effective watch dog timer should be able to detect all abnormal software modes and bring the system back to a known state. In addition to that, it must have its own clock and should be capable of providing a hardware reset on timeout to all the peripherals which the current timers lag. Hence the windowed watchdog timer where the window periods can be configured during the software initialization. In the watchdog timers which are available right now is processor dependent due to which there is a increase in the timing but there is a need of a watchdog timer which has capability to cut down or reduce timing hence watchdog timer which has got service, frame and controller windows have been used, which is independent of the processor and hence the timing is reduced effectively.
Improved Bat Algorithm using Super-Region Volume Segmentation for Medical Images
Authors:   Assistant Professor, Department of Information Technology, Institute of Engineering & Technology, Devi Ahilya University, Indore, India ,, Nigam Dr. Bhawna , Ramanathaiah Ramakrishnan M ,   Director-SAP Practice-Analytics Big-Data-Cloud, Miracle software systems, USA., B. Dr. Basavaprasad ,   Assistant Professor, Govt. First Grade College, Raichur, India
Published: August 2019

Medical imaging has been the highly active research area from the past few dec-ades. With the intention of consolidating the automatic approaches of power of the segmentation with the experienced and capable of annotating biological sam-ples manually, provides a new board which is termed as Super-Region Volume Segmentation (SuRVoS). SuRVoS purifies the estimation by utilizing Markov Random Field (MRF) formulation, which in turn considers neighboring labels in order to estimate precisely consistent. Nevertheless, in the MRF formulation model, various separations play a vital part in order to raise the exactness of out-put of the segmentation. Hence, identifying that partition number is an important task and also it is a difficult problem. In proposed work, the edge weight is seg-regated into two disjoints sets, which means cut and off into all feasible disjoint segments. The proposed energy function is reduced by utilizing Enhanced Bat (EB) algorithm over the MRF and the standard deviation calculation among two edges. In our work, the improved SuRVoS gives good segmentation output by generating good objective function values in the form of best supervoxels. So, it raises the accuracy of image segmentation greater instead of the earlier methods. The performance metrics were computed namely accuracy, precision, recall, Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and correlation values by utilizing the proposed method. The experimental output gives the greater seg-mentation accuracy which is accomplished by the proposed method.
Deep neural network: Recognize Data Management of Artificial Intelligence in Retail
Authors:   Associate Professor of Computer Science Engineering, Sri Krishna College of Engineering and Technology, Coimbatore 641014, India, Prabha D. , Manivannan P. ,   Assistant Professor of Computer Science Engineering, Park College of Technology, Coimbatore 641659, India, Balasubramanian K. ,   Associate Professor of Mechanical Engineering, Park College of Technology, Coimbatore 641659, India
Published: August 2019

Deep neural networks with the artificial intelligence on Machine Learning (ML) algorithms constitute the best design specifically to deal with vast amount of data for retail business. The limited research approach is referred towards reducing memory consumption on integrating ML algorithms on data management system. This paper proposed combining data management and deep neural networks, ideas to build systems, which vast amount data can share in the database system. Therefore, ML algorithm has a pattern with multi-hidden layer that can use to synthesis different decision within a minimum processing. Finally, system precede and follow a NoSQL layers of a model employs in-memory database compression techniques and executes data management challenges with large datasets successfully.
Design and Analysis of a Reconfigurable Antenna for Dual Band ISM Medical and Wi-Fi Applications
Authors:   Research Scholar, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Murthy K S R , Umakantham K ,   Principal, NSRIT, Sontyam, Visakhapatnam, India., Murthy K S N ,   Professor, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Madhav B T P ,   Professor, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Published: August 2019

A hybrid reconfigurable reception apparatus is intended to work in ISM medicinal band (2.5 GHz) and Wi-Fi working groups (3.4 GHz). A winding sort of transmitting structure with absconded ground is taken in the development of the proposed receiving wire show. The planned model is furnishing recurrence reconfigurability and polarization reconfigurability with great impedance data transfer capacity and hub proportion transmission capacity. The created model estimation results are giving incredible connection reenactment results got from HFSS instrument. Explanatory examination as for the reflection coefficient, radiation design with LHCP and RHCP and hub pro- portion are displayed in this work.
Impedimetric Sensors: Principles, Applications and Recent Trends
Authors:   Department of Electronics and Communication Engineering, GJUS&T, Hisar, Haryana, India, Sharma Nitin Kumar , Singh Kuldeep ,   Department of Electronics and Communication Engineering, GJUS&T, Hisar, Haryana, India., Nain Ahimanyu ,   Department of Electronics and Communication Engineering, GJUS&T, Hisar, Haryana, India, Rani Nisha ,   Department of Electronics and Communication Engineering, GJUS&T, Hisar, Haryana, India., Singal Anuj ,   Department of Electronics and Communication Engineering, GJUS&T, Hisar, Haryana,
Published: August 2019

This work figures the conceptual background of impedimetric measurements. Impedance measurement is a convenient approach for exploring the change in electrical behavior of diverse materials. An overview of in practice impedance analysis on CHI660D electrochemical work station is presented. Detection of microorganism causing foodborne diseases using IDE and other methods, toxic metal ion quantification, environment pollutant monitoring are described applications in this work. This work also reviewed the noticeable development in impedance measurement devices based on AD5933 such as bio-impedance measurement and explosive material detection. Biological signals are detected by transducing them into electrical analogy, detection of which is not a big issue. The main challenges are to convert biological signal into electrical information. Electrochemical sensors present captivating techniques to determine the content of sample under test. Electrochemical sensing platforms come up with an appealing methodology to interpret the concentration of biological sample as these sensors directly translate biological information to an electronic one. Huge amount of sensing platforms and corresponding devices has been developed. EIS is a rapid and easily computerized technique used to characterize biomolecules, inorganic materials, having a wide range of applications. The measured impedance spectra are generally fitted to an analogous electrical circuit model which constitutes an electrical documentation of the SUT by disclosing its behavior and properties. Quick, highly selective/specific and sensitive techniques to quantify biological and biochemical molecules and other target species are of great importance in biomedical and biotechnological application. Recent developments trends for handy, portable, fast and precise impedance analyzer is discussed. AD5933 evolution kit is reviewed.
Automated Vehicle Security System using Convolutional Neural Networks and Support Vector Machine
Authors:   Department of Computer Science & Engineering, ABESEC, Ghaziabad, India., Agarwal Shubham , Goel Kushagra ,   Department of Computer Science & Engineering, ABESEC, Ghaziabad, India., Jain Anirudh ,   Department of Computer Science & Engineering, ABESEC, Ghaziabad, India., Singh Pratibha ,   Department of Computer Science & Engineering, ABESEC, Ghaziabad, India.
Published: August 2019

With the rise in the infrastructure in the global economy, there is a need to impact the growth of security systems such as enhancing the security of vehicles at public places, societies or places with crowd. This could be done by keeping up with the monitoring of vehicles through vehicle License Plate Recognition (LPR). Since the numbers of vehicles are increasing on road day by day, it is essential to bring automation in its detection and recognition procedure. The objective of this presented work is to model a real time application to recognize license plate from a vehicle at parking of any society or public places via surveillance cameras. This paper mainly focuses on implementing the concept of component security which is marked by the presence of a blended system with car license plate recognizer as well as face recognizer recognizing its real owner. In proposed Automated Vehicle Security System (AVSS), the achievable model accuracy for Automated LPR model is 94% marked with the use of Tyserract for character recognition and model accuracy for facial recognition is raised to a mark of 83%. This model provides remarkable results and a need of another system where the owner or permitted drivers for a vehicle are mapped to vehicle license plate which could be made to use as collaboration to make it a real life deployable application.
Design and Finite Element analysis of Thick walled Laminated Composite Pressure Vessel
Authors:   Department of Production Engineering at Veer Surendra Sai University of Technology, Burla, Odisha, India,, Parida Sarada Prasad , Jena Pankaj Charan ,   Department of Production Engineering at Veer Surendra Sai University of Technology, Burla, Odisha, India
Published: August 2019

Composite materials in general offer a high potential for manufacturing of structures with featuring an interesting mechanical performance, mainly with regards to specific stiffness, specific strength, damage tolerance and energy absorption capability. In current analysis, glass fibre reinforced in epoxy resin to form a laminated composite walled pressure vessel(filament winding) is considered for design. The purpose of this work is primarily to perform finite element analysis (FEA) of a composite walled pressure vessel (CPV) under different loads. Different design stresses and strains are evaluated using Lame’s equation. These outcomes are tabulated and examined with the results of the steel walled pressure vessel used for LPG. It is foundthat CPV is a suitable vessel for LPG storage and it can be replaced current LPG steel walled vessel to CPV.
2-D histogram Based Multilevel Thresholding for Image Segmentation by Hybrid Bacterial Foraging Optimization and Particle Swarm Optimization
Authors:   Department of Computer Science and Engineering, AITAM, Tekkali, Srikakulam,, India., Kumar N S R Phanindra , Reddy P.V.G.D Prasad ,   Department of CS&SE, Andhra University, Visakhapatnam, India., Srinivas G. ,   Department of CSE, GIT, GITAM, Visakhapatnam, Indian.
Published: August 2019

The objective of image segmentation is to extract meaningful clusters in given image. Meaningful clusters are possible with perfect threshold values which are optimized by assuming Renyi entropy as an objective function. A 1-D histogram based multilevel thresholding is computationally complex and segmented image visual quality comparatively low because of equal distribution of energy over the entire histogram plan. To overcome the problem, a 2-D histogram based multilevel thresholding is proposed in this paper by maximizing the Renyi entropy with a novel Hybrid Bacterial Foraging Optimization Algorithm and Particle Swarm Optimization (hBFOA-PSO) and the obtained results are compared with state of art optimization techniques. The results of the proposed model have been evaluated on a standard image dataset. The results obtained after implementing a 2-D histogram suggest hBFOA-PSO can be effectively used won multilevel thresholding problems resulting in a high accuracy.
Estimation of Energy in Complementary Metal Oxide Semiconductor using VLSI Design
Authors:   Professor, Department of Electronics and Communication Engineering, GIET College of Engineering, India., Bodapati Dr Jagadeesh , Raju Atava G V Karthik ,   Assistant Professor, Department of Electronics and Communication Engineering, GIET College of Engineering, India., Yenugu Durgachandramouli ,   Assistant Professor, Department of Electronics and Communication Engineering, GIET College of Engineering, India.
Published: August 2019

Expanding interest for versatile gadgets for figuring and correspondence, just as different appliances, has required longer life span, low credence, and low control utilization. So as to fulfill these necessities, inquire about exercises concentrating on small energy/less voltage intend systems are in progress. While control is currently solitary of the devise choice factors, the extended devise area requisite for lower energy has additionally expanded the intricacy of an as of now non-trifling assignment. Lower energy devise fundamentally includes two accompanying errands: control estimation and investigation and energy minimization. These undertakings should be completed at every one of the levels in the design chain of command, to be specific, the social, and engineering, rationale. During this overview of the present condition of the pasture, a significant number of the notable energy assessment and reduction strategies suggested for lower energy VLSI devise are audited. In this research work, correlation of intensity evaluation of different fundamental CMOS cell configurations on different innovations is done. The exploration concerns so as to create the lower energy devise are likewise examined in the article.
Image Compression Utilizing Wavelet Transform
Authors:   Research Scholar, Department of Electronics & Communication Engineering, BIHER - Bharath Institute of Higher Education and Research, Chennai, India., Sankaran B Gowri , Karthik B ,   Associate Professor, Department of Electronics & Communication Engineering, BIHER - Bharath Institute of Higher Education and Research, Chennai, India., Vijayaragavan S P ,   Associate Professor, Department of Electronics & Communication Engineering, BIHER - Bharath Institute of Higher Education and Research, Chennai, India.
Published: August 2019

Image stress diminishes the season of transmits in the gadget and increases the transmission pace. In Lossless approach of image pressure, no data wander off at the same time as doing the stress. To recognize those forms of issues distinct techniques for the photo stress are utilized. Currently questions like how to do mage stress and second one is which kinds of innovation is utilized, might be emerges. Therefore normally sorts’ of methodologies are clarified known as as lossless and the lossy image strain strategies. These techniques are easy in their packages and consume nearly no reminiscence. A calculation has additionally been acquainted and linked with p.c. snap shots and to decompress them lower back, via using the huffman encoding methods.
Mobility Management Techniques in 5G Wireless Networks
Authors:   Computer Science and Engineering, Ansal University, Gurugram, India., Ujjawal  , Chaba Dr.Yogesh ,   Computer Science and Engineering, Guru Jambeshwar University of Science and Technology , Hisar, India.
Published: August 2019

Current innovation in the field of Mobile and Wireless network will increase the use of mobile devices which procreated in an outburst of traffic passing through the internet. Due to the explosion of traffic mobility management has become a challenge in future mobile and wireless networks. To deal with such an explosion, mobile networks are becoming flatter as compared to previous hierarchical mobile networks. This paper presents a detailed survey of solutions for currently mobility management such as Centralized mobility management techniques for mobile and wireless networks, described the limitation of Centralized Mobility Management which is hierarchical and centralized in nature and discussed an approach which removes the limitation of Centralized mobility management called as Distributed mobility management. This paper also discussed two different approaches of Distributed mobility management such as Client based Distributed mobility management and Network based Distributed mobility management.
Low Phase Noise Current Starved Ring VCO on MOS Capacitance
Authors:   Elec.& Inst. Engg. Department , Shri G. S. Institute of Technology and Science Indore, India, Tilwe Ashu , Gurjar R.C. ,   Elec.& Inst. Engg. Department , Shri G. S. Institute of Technology and Science Indore, India, Mishra Dr.D.K. ,   Elec.& Inst. Engg. Department , Shri G. S. Institute of Technology and Science Indore, India
Published: August 2019

In Wireless communication system VCO is major part which regulates the frequency according to the voltage. Ring oscillator of one type of VCO is used. The topology of Ring oscillator is current starved Ring VCO, is used. In this topology the oscillation frequency is regulated by MOS capacitance. MOS capacitance is added at the end of every stage of inverter.180 nm CMOS technology is used in this paper. The supply voltage is 1.8V and control voltage is varied from 0V to 1.8V. The simulated results are shown that good tuning range from 2.06GHz to 2.62 GHz. which is used in application of wireless system. The phase noise is measured -112dbc/Hz at 1MHz.