bluuebunny/crossref_metadata_2025 huggingface dataset:
A Proposal for observing Conceived Ladies having High Risk of Premature Delivery using WHSN
Authors: Rani Chintala Radhika , Rao M R Narasinga , Venkateswarlu Somu
Published: April 2019

Premature delivery of baby leads to death of babies below the age of 5 years. Even if they survive, they have to leave with a permanent disability like loss of vision, reduced learning abilities and hearing problems. Over the past years researchers have noticed that, observing uterine contractions can help in assessing the advancement of pregnancy and health of baby. It also decides whether pregnant lady is in the process of giving birth and thus accordingly reduce the impacts of premature delivery. This paper proposes a simple, secure, comfortable and cheaper system to screen pregnant ladies who are vulnerable to premature delivery. This system comprises of a wireless Human Sensor Network (HSN) for non-obtrusively observing the uterine contractions and if it is observed that readings are outer the normal limits, then a warning alert is send via a smart device. This paper also proposed a proof-of-idea model and tried it for testing the performance, power utilization and quality of the system.
A Comprehensive Study of Vehicle Routing Problem With Time Windows Using Ant Colony Optimization Techniques
Authors: Guha Neogi Avirup , Mounika Singamreddy , Kalyani Salagrama , A. Yogananda Sai S
Published: April 2019

Ant Colony Optimization (ACO) is a nature-inspired swarm intelligence technique and a metaheuristic approach which is inspired by the foraging behavior of the real ants, where ants release pheromones to find the best and shortest route from their nest to the food source. ACO is being applied to various optimization problems till date and has been giving good quality results in the field. One such popular problem is known as Vehicle Routing Problem(VRP). Among many variants of VRP, this paper presents a comprehensive survey on VRP with Time Window constraints(VRPTW). The survey is presented in a chronological order discussing which of the variants of ACO is used in each paper followed by the advantages and limitations of the same.
Analyzing the Improved Software Reliability Based on the Markov Model by Considering Error propagation
Authors: S. Srinivasa Rao Dr , Sowjanya D , Dileep Chowdary CH , Harika M
Published: April 2019

In the software reliability analysis we proposed an approach, which is named as Model Driven Development method. This is a modelling and model transformation techniques. The Markov model used in reliability ﬁelds is modiﬁed to adapt to error propagation behaviors of components. The Markov model has been used for results of reliability analysis. Markov model which means that that future or upcoming states depend only on the present state not on the events that occurred before it to ensure high reliability of this software is to estimate reliability accurately in the developing phase. Then a study on the transformation between model based on Architecture & Analysis Design Language (AADL) and Markov model has been done. By considering all these a model based software reliability analysis approach is proposed.
A Study on Wavelet Transform Using Image Analysis
Authors: Zeelan Basha CMAK. , M. Sricharan K , Krishna Dheeraj Ch , Ramya Sri R
Published: April 2019

The wavelet transforms have been in use for variety of applications. It is widely being used in signal analysis and image analysis. There have been lot of wavelet transforms for compression, decomposition and reconstruction of images. Out of many transforms Haar wavelet transform is the most computationally feasible wavelet transform to implement. The wave analysis technique has an understandable impact on the removal of noise within the signal. The paper outlines the principles and performance of wavelets in image analysis. Compression performance and decomposition of images into different layers have been discussed in this paper. We used  Haar distinct wavelet remodel (HDWT) to compress the image. Simulation of wavelet transform was done in MATLAB. Simulation results are conferred for the compression with Haar rippling with totally different level of decomposition. Energy retention and PSNR values are calculated for the wavelets. Result conjointly reveals that the extent of decomposition will increase beholding of the photographs goes on decreasing however the extent of compression is incredibly high. Experimental results demonstrate the effectiveness of the Haar wavelet transform in energy retention in comparison to other wavelet transforms.
Visual Safe Road Travel App Over Google Maps About the Traffic and External Conditions
Authors: S.Hrushikesava Raju Dr , M.Nagabhushana Rao Dr , N.Sudheer Dr , P.Kavitharani Dr
Published: April 2019

In travelling on the roads, Most of our people might get accidents because of lack of road awareness and the traffic potential, also this unpredicted traffic leads to delay in the predicted travel duration. To avoid this kind of odd experiences, the proposed work focuses on the vehicle load characteristics in the available road paths traffic that is existing in the distance of 2-3 kilometers. The characteristics dealt here are vehicle load moving in the same direction as well as vehicle load moving in the opposite direction, danger zones, any wild turns, floods status on the road, group of animals crossing or on the road, any road works intimation, any bridges or flyover conditions, any situational areas like forests, high mountains, lack of public in the areas in the coming 2-3 kilometers in that road if it is two way path in the same road or separate paths infrastructure available. This is more secure because authorized users only will use this kind of facility where users are authorized by their Unique aadhar Number along with their family member details.
Steganography Using Reversible Texture Synthesis
Authors: Ramya.K Ruth , M Karthik , Priyanka.M Yamini
Published: April 2019

We propose a novel approach for steganography using a reversible texture synthesis. A texture synthesis process resamples a smaller texture image, which synthesizes a new texture image with a similar local appearance and an arbitrary size. We weave the texture synthesis process into steganography to conceal secret messages. In contrast to using an existing cover image to hide messages, our algorithm conceals the source texture image and embeds secret messages through the process of texture synthesis. This allows us to extract the secret messages and source texture from a stego synthetic texture. Our approach offers three distinct advantages. First, our scheme offers the embedding capacity that is proportional to the size of the stego texture image. Second, a steganalytic algorithm is not likely to defeat our Steganography approach. Third, the reversible capability inherited from our scheme provides functionality, which allows recovery of the source texture. Experimental results have verified that our proposed algorithm can provide various numbers of embedding capacities, produce a visually plausible texture images, and recover the source texture.
IOT Based Monitoring of Household Electricity Appliances
Authors: Sri lakshmi M , Sairam P , Yeswanth V , Akhila P
Published: April 2019

A Smart Electricity meter is a new kind of electricity meter that can send meter reading and billing to the user. They are a replacement for standard meters, which use technology created decades ago .Smart electricity meters have been in development in many countries. Presently, people have to come to electricity meter to generate bill. We could not know how many units of current we have been consuming from time to time. The system we propose in this paper is a smart electricity meter which will monitor the current electricity usage and gives a notification to us which says how many units of current have been consumed and the amount we have to pay. we can also enable a setting that will notify us whenever particular units of current have been consumed. The entire consumption history of current from time to time can be monitored in the database.
Encryption-Based Secure and Efficient Access Control to Out Sourced Data in Cloud Computing
Authors: Naresh V , Anudeep M , Saipraneeth M , Saikumar Reddy A , Navya V
Published: April 2019

The cloud stockpiling framework, comprising of capacity servers, gives long haul stockpiling administrations on the Internet. Maintaining the data in the cloud computing of third parties generates: serious concern about the confidentiality of data and the reduction of data management costs. Nonetheless, we should give security certifications to outside information. We plan and actualize a protected cloud stockpiling framework that gives secure, secure and available record security for document administration and secure information exchange. It includes foreign files with a file access policy, possibly deleting files, to avoid being denied to anyone with a file access policy. To achieve these security objectives, a set of password keys is implemented that maintain a host (s) or head (s) separately. We offer a twofold edge intermediary coding plan and incorporate it with a decentralized disposal code, which is detailed with a safely Cloud storage framework. The Cloud storage system not only provides a secure and stable search and storage of data, but also allows the user to transfer their data to the user of the backup to another user without the data being returned.
Prediction of Heart Disease Using Machine Learning Algorithms
Authors: Rajesh N , T Maneesha , Hafeez Shaik , Krishna Hari
Published: April 2019

Heart disease is the one of the most common disease. This disease is quite common now a days we used different attributes which can relate to this heart diseases well to find the better method to predict and we also used algorithms for prediction. Naive Bayes, algorithm is analyzed on dataset based on risk factors. We also used decision trees and combination of algorithms for the prediction of heart disease based on the above attributes. The results shown that when the dataset is small naive Bayes algorithm gives the accurate results and when the dataset is large decision trees gives the accurate results.
State Dependency to Optimize Access of Home Appliances using Remote Control
Authors: Vijaya Sri Kompalli Dr , Sandhya K , Asritha Thanmai K , Siva Sree D
Published: April 2019

Internet of Things (IoT) is a combination of hardware and software technology that produces trillions of data by connecting multiple devices and sensors with the cloud and computing and accessing the required data through intelligent means of connecting and utilizing various tools. With numerous connected devices and appliances, the smart home is one of the emphasized areas of IoT. Smart home concept deals with inter connecting the working of multiple devices using IoT. In view of this, multiple home appliances are operated using the common remote controller access. When IoT devices are meant to operate based on remote control there is an immense role of identifying the state dependencies of various devices. If one device is in ON state, then it will show the status of other devices also whether to be in ON state or OFF state or choice of none of devices to be in state of ON or OFF. Till now, state dependencies of devices in home appliances are manually identified. Therefore, in order to control devices of home appliances with in a precise location, a design issue based on identification of state dependencies by using graph matrices for multiple devices can be made for better utilization to save energy and also to restrict the unnecessary access of devices.
Successive Interference Reduction in Multi User MIMO Channels Using DCI
Authors: SureshKumar K , S.Santhosh Phani Raj B , B.Sindhush K , Bhanu Prakash D , Manoj Kumar S
Published: April 2019

Propelled by the accomplishment of Dahrouj and Yu in connecting the Han-Kobayashi transmission management for mitigating the inter-cell interference in a multi-cell multiple-use multiple in single out interference mesh, this bi-parted messages into privacy and general address in a multi-cell multi-user MIMO IN. In particular, the co-variances of the private and public messages are superintend to optimize either the sum rate or the minimal rate . The public and private messages are decoded in sequence using successive decoding. It reveals how hard to optimize problems can be adequately interpreted by D.C optimization over a simple convex set. Theoretical and simulated outputs shows the use of our proposing solutions for diverse types of Interference networks. In the superintend system, messages are fragmented into private message and public messages. In accordance to optimize the sum rate and minimal rate, co-variances of private and public messages are estimated. The successive decoding algorithm proposed for decoding both private and public messages. The optimization problems will apparent up by accomplishing the difference of concave functions (D.C). Developing a potent D.C optimization network, which is furnished over certain area of bi-parted the private and public rates in several users Multi-Input Multi-Output Interference networks for decreasing the sum rate and minimal user rate. Han Kobayashi (HK) rate bi-parting scheme is exposed as the best plan to mitigate the interference and increase the performance.
Characteristic study on high performance hybrid fiber reinforced concrete using copper slag fine aggregate
Authors: R. Kannan Rajkumar P , Rahul M , T. Ravichandran P
Published: April 2019

This study focuses on the effect on the mechanical characteristics of high performance concrete upon the utilization of copper slag in order to replace the fine aggregate. Copper slag has chemical and mechanical characteristics that can make the material a probable and efficient replacement material to river sand in concrete. On the other hand extraction of the sand from river bed in excess quantity is hazardous to the environment. River sand was partially and fully replaced (100%) by Copper slag in various proportions in the concrete. The concrete is also added with fibres in order to improve its mechanical properties. The addition of micro steel, hooked steel and polyester fibres in hybrid form with 1.0-1.25% to the total volume of concrete is found to be beneficial to the concrete. From the test results the concrete with 50% of its fine aggregate replaced with copper slag shows the better results; improved performance in compressive, split tensile, flexural strength, toughness and ductility. The addition of micro steel and hooked steel in the concrete produced a concrete of lower water absorption percentage.
Design and implementation of huvigation for the visually impaired
Authors: Jang Jinhyeok , Lee Youngseok
Published: April 2019

Background/Objectives: Visual impairments should take the risk alone, we need to design a Huvigation because it is necessary to study the route and surrounding dangerous obstacles with a convenient device.Methods/Statistical analysis: Set the destination using voice recognition and braille input device to help the users find the way, guided by voice when user want, obstacles are read using an ultrasonic sensor. In the obstacle detection method, prioritize in the direction of things by three ultrasonic sensors. And the user recognize the direction of things reduces the probability of strike the object than other functions.Findings: The proposed system can set the destination using speech recognition or a braille input device. The information is transmitted to a navigation web page linked with the input destination, and navigation is guided using the navigation function. This device transmits the information received using a speaker. This device receives information from the ultrasonic sensor. When objects come into range, a voice is transmitted to the user to prevent collision. When the user arrives at the destination, It announces the arrival using the speaker, and wait for the next command.Improvements/Applications: The safety of the user is ensured through three ultrasonic sensors. Every time the user moves and checks the location information and provides movement information.
Efficient time series data classification using sliding window technique based improved association rule mining with enhanced support vector machine
Authors: Senthil D , Suseendran G
Published: April 2019

Time series analysis is an important and complex problem in machine learning and statistics. In the existing system, Support Vector Machine (SVM) and Association Rule Mining (ARM) is introduced to implement the time series data. However it has issues with lower accuracy and higher time complexity. Also it has issue with optimal rules discovery and segmentation on time series data. To avoid the above mentioned issues, in the proposed research Sliding Window Technique based Improved ARM with Enhanced SVM (SWT-IARM with ESVM) is proposed. In the proposed system, the preprocessing is performed using Modified K-Means Clustering (MKMC). The indexing process is done by using R-tree which is used to provide faster results. Segmentation is performed by using SWT and it reduces the cost complexity by optimal segments. Then IARM is applied on efficient rule discovery process by generating the most frequent rules. By using ESVM classification approach, the rules are classified more accurately.
PSO based optimization of worst-case execution time for ASIP application
Authors: Venkanna Mood , Rao Rameshwar , Chandra Sekhar P
Published: April 2019

Industrial requires hard real-time systems for safety and critical applications like automotive, Aeronautics, manufacturing control and train industries. Hard Real-Time Systems’ embedded controllers are with expectation of complete the tasks within a certain time bounds reliably including task scheduling. The estimation of upper bound limits corresponding to the execution times is often termed as the Worst-Case Execution Times (WCETs). It is an essential step in developing and validating the hard real-time systems. Particularly, the upper bounds need to satisfy these constraints related to the execution times. However, it is often not feasible many times to set upper bounds on execution times for programs. In present work, the problem of choosing reconfigurable Custom Instructions (CIs) is accomplished by optimizing the WCET corresponding to an application. This issue is designed using Particle Swarm Optimization (PSO) based program for a path analysis. The work emphasizes on the effectiveness of optimizing the WCET when applied to a reconfigurable processor. It evaluates a compound application of multimedia with a host of reconfigurable CIs corresponding to a number of hardware parameters.
Design of fuzzy logic system for cognitive radio networks for efficient spectrum decision and channel assignment
Authors: Suneetha Ch , Srinivasa Rao S , S. Ramesh K
Published: April 2019

Wireless sensor networks (WSNs) are becoming highly preferable for various day to day applications. Cognitive radio (CR) is a paradigm that can deploy IPV6, which has built-in auto configuration features along with large 128-bit address space for efficient spectrum allocation by considering all possible QOS parameters. An efficient spectrum decision has been developed based on fuzzy for secondary users channel assignment. The parameter such as Signal strength, node velocity and distance between PU and SU for unused available BW IPV6 header has been identified for information such as text, voice or video to be forwarded by the Secondary users with efficient spectrum allocation. The spectrum decision and channel assignment for secondary users has been simulated to obtain satisfactory results
Design and analysis of VBF and EEVBF routing protocols for energy efficient underwater communication
Authors: Vijayalakshmi P , Jacintha.T Aruna , Rajendran V
Published: April 2019

Major constrain in Acoustic communication network is the consumption of energy by senor nodes. The need to regulate the energy con-sumption of senor nodes relay mainly on underwater applications like disaster prevention, tsunami warning and other environmental moni-toring, where the sensor need to transmit the sensed data constantly to the control station for critical analysis. This paper mainly focuses in designing a routing protocol that can challenge a better life expectancy of underwater sensor nodes. From the broader area of research in UWSN, VBF routing protocol gives a promising performance in term of increase in data throughput, PDR and energy consumption. Hence an energy efficient vector based forwarding protocol (EEVBF) is designed which can efficiently regulates the energy consumption when compared to VBF. Based on simulation results, the performance analysis of data throughput, packet delivery ratio, and energy consumed using aquasim network simulators.
Automotive CVT sheave development using complex forging processes
Authors: Kun Peng Wen , Young Park Sung
Published: April 2019

Background/Objectives: In this study, we developed a complex forging process to produce a sheave, which is a core part of CVT for automobiles, fabricated prototypes. The existing processes such as hot forging and the MCT machining process have disadvantages including excessive amounts of material cutting, number of processes, and processing time.Methods/Statistical analysis: To overcome these shortcomings, in this study, a shape was created using hot forging and the shape was molded into a precision part using cold forging. A complex forging process was developed that enabled maximization of the metallographic density and reduction of material cutting quantity by applying a minimal number of processes. By conducting heat compression and tensile tests of the samples, we identified the physical properties of the material and used the commercial software Deform-3D to conduct a forging analysis.Findings: Based on the analysis results, we designed a combined process of hot forging and cold forging and fabricated a mold and pilot products. The fabricated pilot products were evaluated using a metal flow test, an internal defect test, a surface roughness test, etc. According to the evaluation results, no significant defect was observed, and we therefore believe it is adequate for mass production.Improvements/Applications: The complex forging method can reduce the use of material by approximately 15% compared with the hot forging and the MCT machining process. Through this study, we established a product development process using a high-precision complex forging technology.
A study of improving thermal environment of external louver through establishment of test bed
Authors: Pil Kwon Sun , Jun Jung Jae , Jo Jung Byoung
Published: April 2019

Background/Objectives: To improve a thermal load by increasing internal thermal effect of a building from direct solar radiation through an increase of glass windows.Methods/Statistical analysis: Through the establishment of test beds of the same size, the data of temperature, humidity, solar insolation and PMV of each test bed with or without external louver are acquired to analyze thermal environmental with the simulation.Findings: For the analysis of thermal environment, the amount of energy consumption has been analyzed through the simulation and the data of temperature, humidity, solar insolation and PMV have been acquired for the analysis. With the simulation, about 20% energy saving has been confirmed and the daily averages of temperature and humidity between 8AM to 7PM have been calculated to calculate the maximum temperature difference to be 9.4℃. The solar insolation between 9AM and 7PM was 300W/m2 or below.Improvements/Applications: The improvement of thermal effect with an external louver has been confirmed. It may be applied to the louver system to improve building thermal environment, awning to control direct solar radiation, blind to improve uniformity of illumination intensity toward building during daytime, external blind and ceiling louver system.
The variation of propagation velocity according to substrate material of band pass filter
Authors: Yoon Lee Dong
Published: April 2019

Background/Objectives: The SAW filter has a frequency characteristic determined by the geometry of the IDT electrode, and is widely used as a band-pass filter for passing only a signal having a specific frequency.Methods/Statistical analysis: The features of this filter are high stability and reliability and enable mass production using semiconductor processes.Findings: The MCB process lift off method was used to fabricate the filter to solve the difficulties of the SAW filter process. In particular, we fabricated ZnO thin films with excellent c-axis preferential orientation, high resistivity of more than 106Ωcm, and flat surfaces, and fabricated SAW filters using ZnO thin films as deposition conditions suitable for application to SAW filters. ZnO thin films deposited under conditions of RF power of 150W, chamber pressure of 10mTorr, substrate temperature of 200 ° C and gas mixture ratio of Ar/O2 of 50/50 as sputtering gas have excellent c-axis preferential orientation, high specific resistance and flat surface shape. Then, ZnO piezoelectric thin film was deposited on SiO2 substrate by RF magnetron sputtering method and the SAW filter was fabricated by the MCB lift off method to analyze the frequency characteristics. In addition, compared with the SAW filter fabricated on the LiNbO3 substrate, which is a piezoelectric substrate.Improvements/Applications: The propagation speed of the SAW filter using the ZnO thin film was determined by the variation of the center frequency due to the deposition of the ZnO thin film.
Image quality improvement using dddtdwt
Authors: Vimala C , Aruna Priya P
Published: April 2019

The enhancement of degraded images using different wavelet transform techniques are presented in this paper. The performance of the wavelet techniques is analysed in terms of Peak Signal to Noise Ratio values and Root Means Square error. The Double Density Dual Tree Discrete Wavelet Transform technique is mainly focused for analysis and the results are compared with discrete wavelet transform and the Double Density DWT.
Autonomous movable packrat for habitual chores
Authors: Sheeba Rachel S , Azhagumeena S , Rajakumari S , Madhumidha A
Published: April 2019

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Properties and behavior of squeeze pressure on aluminum molybdenum DI-supplied composite
Authors: Arunkumar S , Chandrasekaran M , Vinod Kumar T , Muthuraman V
Published: April 2019

To develop a metal matrix composite with lubricative properties with the help of various casting process and they are tested for their proper-ties. Casting machine is turned ON. Furnace temperature is set to 850o C. Preheater temperature is set to 180o C. Pathway temperature is set to 550o C. The furnace is allowed to get heated up. Once it gets heated upto 600o C, the A-Si alloy is dropped into the furnace. The alloy gets melted at around 800-850o C. Molybdenum di-sulphide fine powder is preheated and then mixed with the molten metal. Molybdenum di-sulphide is a reinforcement added and it is preheated to increase the wettability. Stainless steel stirrer is used to mix the alloy and graphite well. Stirrer is rotated between 200-300rpm.Once both the alloy and reinforcement gets mixed up into a single red hot molt, it is poured. The molt now leaves from the bottom of the furnace through the pathway. Pathway is maintained at 550o C to avoid solidification of molt in the path. Pathway carries the molt to a die, where it is poured. A squeeze pressure of 30 tonnes and 60 tonnes is given on the die using a piston. Die is split up and the mould is taken out from it. The die, furnace, pathway are coated with a layer of non-stick coating to avoid the sticking of alloy in the walls. The same process is repeated in stir casting, except that, pathway is not needed. The molten alloy is poured directly into the die without any pressure being applied. The die is split and the mould is taken. Coating is done before the next casting.Graphite powder and the Al-Si alloy materials are casted using squeeze casting process. Wear strength, tensile strength, flexural strength, impact strength and hardness test for the squeeze casted material is found out. The same materials are casted with the help of the stir casting process and they are compared with the squeeze cast material. Various testing process are to be carried out on the casted material and the results are compared.
Successive Duplicate Detection in Scalable Datasets in Cloud Database
Authors: Rajkumar N , Kishore Kumar K , Vivek J
Published: April 2019

Replica identification is the path toward perceiving various depictions of same true matters. Today, duplication location methodologies needed process ever greater datasets in ever shorter time: keeping this idea on dataset ends up being dynamically troublesome. To present, dynamic duplicate and distinguishing by proof figuring happened to be using Progressive Sorted Neighbourhood Method and Progressive Blocking augmentations more profitability occurred in order to find duplicates. If the execution time is restricted then the grow of general technique considers the time accessible and generates reports that considerably produces results faster than ordinary systems. Broad examinations exhibit that our dynamic counts can twofold the capability after some season of standard copy recognition and basically improve related work.
Comparative analysis of power aware routing protocols in mobile ad-hoc network
Authors: . Meenu , Vivek Jaglan Dr , Agrawal Akshat
Published: April 2019

The Mobile Ad-Hoc network is a self-governing wireless network having dynamic topology and scattered mobile nodes. Limited power supply is the major challenge in wireless Ad-Hoc networks. Thus, for overall functioning of the ad-hoc network, efficient power conser-vation mechanism becomes the critical and most important component in ad-hoc network. Various power aware routing mechanism have been evolved to preserve energy, prolonging the life span of its nodes and thus of the network itself. Various other metrics for preserving energy also considered viz. selecting shortest path from source to destination, remaining battery power , fair distribution of traffic load among the nodes and minimizing the total transmission power with a view to increase the network life span and link stability. In this paper, various proposed protocols and recent energy conservation mechanisms are studied for mobile ad-hoc network. After analyzing the existing works it has been observed that there are still several areas where we can give more focus in the future.
A survey of intrusion detection techniques
Authors: Chandran Sharanya , Senthil Kumar K
Published: April 2019

In today’s world, the number of companies is increasing day by day that help end users to express opinion i.e. social media management, to watch news, payment applications, retail, ecommerce etc. There are large amount of forms, which take personal information’s like username, password, social security number, credit card, debit card and account information. Thus the applications are vulnerable to security issues like phishing attacks, denial of service attacks, cross-site scripting attack and many more. This paper provides literature review of work done in these areas and their respective mitigations.
Prototype Application Hate Speech Detection Website Using String Matching and Searching Algorithm
Authors: Kurniasih Nuning , Andretti Abdillah Leon , Ketut Sudarsana I , Wayan Lali Yogantara I , Nyoman Temon Astawa I , Freedom Nanuru Ricardo , Miagina Aveanty , Oxianus Sabarua Jefrey , Jamil Mohamad , Tandisalla Johana , Duan Electronita , Gerit John Rupilele Frits , Dara Utama Mutiara , Laisila Maya , Saleh Ahmar Ansari , Rahim Robbi
Published: April 2019

Hate speech is now a problem for social media users such as Facebook, Twitter, Whatsapp and also Telegram. The current social media users are also a lot to post, share the content both consciously and unconsciously to various social media as well as even some hate speech postings are shared by irresponsible parties to gain profit from the chaos that he created, denigrating religion, vilify certain individuals even as an act of provocation. Prototype hate speech detection application created to detect hate speech on Facebook and it can give notification to users to be more aware of social media content and also careful in reading, share content that can trigger unpleasant actions.
The Development of Curriculum School Model Based on the Internet of Things
Authors: . Subagyo , Eko Siswoyo Rasdi , . Soesanto , Rachman Maman , Nurdiyanto Heri
Published: April 2019

The background of this study is based on field conditions that Tamansiswa schools established since Indonesia have not been independent until now there has been no progress, even from schools that ever exist today many are closed due to lack of students. This research is classified in research and development, where researchers interpret the mindset and behavior of research subjects in carrying out the work. As the subject of the investigation is the principal in carrying out the work so far. The research was conducted at Vocational High School. The purpose of the study to describe the implementation of Vocational Middle School curriculum internet of things during this time, then, developed based on the internet of things theory and principles into the final model. Data collection using interviews, observation, and documentation. Data analysis is based on the qualitative descriptive study. The results showed that in the middle school Vocational Education did not implement the principles of the internet of things consisting of planning, implementation, and evaluation as a whole. The vision of the mission has not yet described the achievement of the targets, and the curriculum internet of things has not followed the accomplishments of the goals made before and is spontaneous, the evaluation of the implementation is not followed up and finished without any documents that can be used to reflect something done. This study concludes that the planning, implementation, and evaluation of curriculum internet of things industry 4.0 has not been optimal. The results of this study can be used as a reference for the implementation of curriculum based on the principles of the appropriate internet of things, a clear plan, and implemented realistically, and the existence of reflection and evaluation.
A brief review on Word Sense Disambiguation Approaches
Authors: Kale Swati , Gawande Ujjwala
Published: April 2019

To deal with the problem of text retrieval, machine translation, query processing, speech processing, the word sense disambiguation (WSD) performs very important role. WSD is an AI complete problem. This paper presents the significance, approaches along with  work done in the field of  WSD.  Apple amount of work has been done in WSD for  foreign languages but for Indian languages this issue is still about to concern. This paper tries to find out different limitations and challenges in WSD, based on which better approach will be  decided by the researchers to solve the problem of WSD.
Comparative analysis on toroidal fins with variable thickness rectangular splines for heat transfer enhancement
Authors: Krishna K Hari , Rao M Koteswara , Kumar K Sai Pavan , Kranti Alajangi , Atgur Vinay , Manavendra G
Published: April 2019

In the present situation, there is a need for devices to carry the thermal energy generated in the system. Fins are the efficient devices which are going to carry the heat generated in the system. In the present work, we have chosen a special shape of fins by choosing two different materials. Toroidal fins have been considered. By varying its shapes heat transfer analysis has been carried out. In the present work, we have considered the toroidal fins having Aluminium and Gunmetal materials. The thicknesses of the spline are reduced from 7 mm to 3mm. The effectiveness for Aluminium 3mm is 3.28 and for 7mm is 3.3723. The effectiveness of Gun metal 3mm is 2.02 and for 7mm is 2.7895.
An optimized observer for estimating torque converter characteristics for vehicles with automatic transmission
Authors: J Niresh , R Kirubakaran , M Mohana Praddeesh , V Gokul , T Gokkul
Published: April 2019

The trending technology in the automobile power train system is the automatic transmission which allows the driver to drive the vehicle without pressing the clutch and can make gear shifting decisions themselves and thus frees the driver from shifting the gears manually. The system consists of torque convertor which replaces clutch and an alternate transmission system which consisting of planetary gears and actuators as drivetrain. In spite of the advantages of the automatic transmission system, there is a problem developing a controller for the system. That is because of the fact that the parameters characterizing the performance of the power train are not measurable because of sensor cost and reliability considerations. There is a need to provide real time information about the un-measurable parameters especially the internal state parameters of the torque converter. Thus, this paves the way for the development of model-based estimation for automatic transmission system to improve the fuel economy during the whole driving profile. The state space analysis can aid in the process. Several outputs from the system can be measured and can be used as a model for observing the internal states of the torque converter system. For this analysis MATLAB/Simulink can be used to model the plant and tools available in MATLAB can aid in developing a specific “state observer” which is the means in which the states can be studied.
A Novel Approach for Handling Outliers in Imbalanced Data
Authors: Rekha Gillala , Krishna Reddy V
Published: April 2019

Most of the traditional classification algorithms assume their training data to be well-balanced in terms of class distribution. Real-world datasets, however, are imbalanced in nature thus degrade the performance of the traditional classifiers. To solve this problem, many strategies are adopted to balance the class distribution at the data level. The data level methods balance the imbalance distribution between majority and minority classes using either oversampling or under sampling techniques. The main concern of this paper is to remove the outliers that may generate while using oversampling techniques. In this study, we proposed a novel approach for solving the class imbalance problem at data level by using modified SMOTE to remove the outliers that may exist after synthetic data generation using SMOTE oversampling technique. We extensively compare our approach with SMOTE, SMOTE+ENN, SMOTE+Tomek-Link using 9 datasets from keel repository using classification algorithms. The result reveals that our approach improves the prediction performance for most of the classification algorithms and achieves better performance compared to the existing approaches.
Fitness Function Based Particle Swarm Optimization Algorithm for Mobile Adhoc Networks
Authors: Gupta Rohan , Singh Gurpreet , Kaur Amanpreet , Singh Aashdeep
Published: April 2019

Mobile adhoc network is a network which carries out discussion between nodes in the absence of infrastructure. The fitness function based Particle Swarm Optimization Algorithm has been projected for improving the network performance. The effect of changing the number of nodes, communication range and transmission range is investigated on various qualities of service metrics namely packet delivery ratio, throughput and average delay. The investigation has been carried out using NS-2 simulator.
Encoding Schemes for Reducing Transition Activity and Power Consumption in VLSI Interconnects-A Review
Authors: N Vithyalakshmi. , P Nagarajan , Kumar.N Ashok , G.S Vinoth.
Published: April 2019

Low power design is a foremost challenging issue in recent applications like mobile phones and portable devices. Advances in VLSI technology have enabled the realization of complicated circuits in single chip, reducing system size and power utilization. In low power VLSI design energy dissipation has to be more significant. So to minimize the power consumption of circuits various power components and their effects must be identified. Dynamic power is the major energy dissipation in micro power circuits. Bus transition activity is the major source of dynamic power consumption in low power VLSI circuits. The dynamic power of any complex circuits cannot be estimated by the simple calculations. Therefore this paper review different encoding schemes for reduction of transition activity and power dissipation.
TSD Algorithm to Design CA Based Expert System for Pipelining to Stop Urban Flood
Authors: Kumar Neeraj , Arora Geeta , Agrawal Alka , Ahmad Khan Raees
Published: April 2019

Flood is a frequent disaster disturbing the daily life and sometimes found deadly. Out of all kind of floods, urban flood is avoidable through quick exit of drainage. Urban flood starts water logging that can be eliminated by efficient pipeline structure. A dedicated drainage pipeline structure may facilitate better during urban flood.  A Cellular Automata is a theoretical computer science tool used to solve complex problems as well as to design structures. In these days, applications of CA continuously increasing, out of which an application of designing a flood avoidance drainage mechanism using CA based structure presented in this paper. To generate knowledge for an expert system to design a flood free city in initial stage of development of a city this paper presents a structure for maximum way of exit. This structure including tanks connected at every corner to minimize the dependency on ground water and reuse the rainwater. In order to avoid flood, minimum size of tanks has been calculated by proposed Tank Size Descriptor (TSD) algorithm with the help of actual rainfall data. With the help of TSD algorithm any expert system of civil engineering will be able to suggest a design of a flood free city using hexagonal shapes within the cellular automata.
Wellness Programs and Engagement of Information Technology Workforce
Authors: John Britto M , Magesh R
Published: April 2019

Physical, mental and spiritual well-being is the secret to success but employees in their quest for glory and money fail to maintain a balance between the three. Their workplace is the most affected when wellness of employees is at stake which would eventually decide the culture and fate of organisations in a dynamic global village. The current research analyses the effect of wellness programs at the workplace on employee engagement.
An Efficient Improved Weighted Round Robin Load Balancing Algorithm in Cloud Computing
Authors: N Manikandan , A Pravin
Published: April 2019

Cloud Computing is an era when various trends showed up. It is the type of development, based solely on the Internet. The computer technology has brought in several changes along the years. SaaS is an architecture that comes under computing technology, involving the use of powerful processors, that helps in transforming data centers, scaling services involving computing technology across all fields. Various trends are opening in the field of Cloud Computing, developed mainly on Internet basis and use of computing technology. The computing architecture of SaaS along with powerful processors, are transforming data centers into a huge scale of pools of computing services.  Balancing load efficiently is one of the key areas involved in cloud computing. Services that are of very high quality can be subscribed for lower cost, along with completely reliable network connections with their bandwidth being increased , providing a flexible service residing in remote data centers. Load Balancing is the concept involved in the storage of computing resources. It is the partition of work which requires processing between two or more number of computers and/or CPUs, storage devices which ultimately leads to providing higher efficiency with much faster service. The improved WRR algorithm which is improved has been proposed in order to distribute the workload efficiently, thereby enhancing various other features that are associated with it.
The Study of Baccilus Cereus on Surface Plasmon Resonance Based Biosensor
Authors: Priyadarshini Rashmi , Narayanappa C K
Published: April 2019

SPR biosensors have obtained elaborate application in the area of biological interactions and detection for chemo-bio analytes, where the benefits of real-time, label attraction potential and label-free technique are prominent. SPR techniques are implementing. Non-Invasive biomolecule monitoring by using blood samples from the body. Sensor development involves high sensitivity. Of them all, the SPR configurations with waveguide coupling has a waveguide mode and surface plasma mode, coupled via an evanescent field in scattered manner thus providing superior control on the reaction and can ultimately lead to superior sensitivity and additionally promote loosely diversified, multichannel and swift stimuli devices construction, capable of distinguishing particular sensor responses from random response and capable of concurrent detection of many analytesin analogy to waveguide coupled configuration which being heavy. With the above requirements our present work puts limelight on sucha multi waveguide integrated optical based SPR biosensor. This paper presents a unique work of analyzing the bacterial content in human blood sample with respect to water and protein as immersion layers. Results include analyzing the simulation results with patterns of waveform and frequency for individual B. cereus var. mycoides and B. megaterium bacteria respectively.
Design of High frequency Voltage Controlled Oscillators for Phase Locked Loop
Authors: H Thejusraj. , Raj Prithivi , Selvakumar J , Praveen Kumar S
Published: April 2019

This paper presents the analysis of various oscillators that generate high frequency of oscillation for high speed communication, clock generation and clock recovery. The Ring oscillator and the Current Starved Voltage Controlled Oscillator(CSVCO) (for 5-stagewithout resistor and with resistor) have been implemented using the Cadence Virtuoso tool in 90 nm technology. The generated frequency of oscillation and the power consumption values of the voltage controlled oscillators have been calculated after inclusion in the PLL, and were also compared to identify the most suitable voltage controlled oscillator for a given application.
An Experimental Study on Structural Behavior of Lathe Waste in Conventional and Self-Compacting Concrete
Authors: Bhavana Aluri , L. Sai Rangarao M
Published: April 2019

To diminish the effect on condition and impact of soil disintegration the lathe waste or steel scrap i.e. machine squander, which is acquired from mechanical machines, can be utilized as reusing material in the concrete blend. This project emphasizes the study on self-compacting concrete (SCC) and conventional concrete (CC) with the addition of machine squander. The investigation is done with and without the addition of steel scrap in conventional and self-compacting concrete. The optimal content of steel scrap is utilized out of 1%, 2%, and 3%. Multiple trail mixes were carried out to find out the optimal content of steel scrap. The fresh and hardened properties of concrete are resolved. The test completed determining flow properties of SCC are Slump, L-box, V-funnel tests.  The flexural, compressive and split tensile strengths of concrete were resolved. A total 8 beam specimens were cast and tested under simply supported condition. Deformational behavior was compared between conventional concrete, beam specimens to SCC concrete beam specimens.