bluuebunny/crossref_metadata_2025_split huggingface dataset:
CpG islands identification in DNA sequences using modified P-spectrum based algorithm
Authors: Garg P , Sharma S D 
Published: June 2021

AbstractThe identification of CpG Islands play a major role in the analysis of DNA sequences because of association of CpG Islands with many epigenetic events. Some of these events are promoter activity and consequently gene prediction, chromosome inactivation, and for early detection of cancer etc. And hence the exact identification of CpG Islands in the stretch of DNA sequences has always remained a challenging task. Numerous computational algorithms have been developed for the identification of CpG Islands in DNA sequences. Recently various transform based methods have been reported for the CpG Islands detection in literature. In these transform based methods, there is a requirement of transforming the signal from time domain to frequency domain and correspondingly there is probability of transform biasing. Hence to overcome this issue, a modified P-spectrum based algorithm has been proposed in this paper. Also the performance of the proposed method has been compared with recently reported methods of CpG Islands detection using standard evaluation metrics. The performance of proposed method has been proved to be much better than the other methods and hence the proposed approach is an efficient method in detecting CpG Islands.
Design and Development of Quasi Digital Sensor Based Spirometer
Authors: Sanga Ramesh , Mittal Ateeksha , Samane Nagesh , Sivaramakrishna M , Prabhakara Rao G 
Published: June 2021

Abstract
The lack of cost-effective diagnostic devices like spirometer is becoming a prevalent challenge to the diagnosis and effective management of life-threatening respiratory diseases. This paper presents the design, development, and implementation of differential pressure sensing quasi digital sensor and instrument for spirometer application. A system which fulfills the medical standard specifications has been designed and developed by exploiting the venturi tube (Bernoulli’s principle) and quasi digital sensor principles. A low power microcontroller (PIC24F) based embedded system, venturi tube based quasi digital sensor, data acquisition software, and user interface were developed. A lab made prototype device has been constructed, tested, and subsequently analyzed the recorded data from the computer. This cost effective ($150) spirometer model can be used for detection of pulmonary diseases rural area and it is going to add a new dimension to the diagnosis of many lung diseases.
Design of Vedic multiplierbased FIR filter for signal processing applications
Authors: Pasuluri Bindu Swetha , Kishor Sonti V.J.K. 
Published: June 2021

Abstract
Digital Signal Processing (DSP) devices are becoming increasingly important with the introduction of multiple signal processing techniques. Vedic Multiplier is one of the most common applications for high-speed DSP deployment. This paper constitutes a significant development in the design of the FIR filter architecture based on the modified Nikhalam Sutra Vedic multiplier. In addition, the Kongestone adder is used to increase speed performance. Using Xilinx FPGA Spartan 6 with Xilinx ISE, the modified architecture of FIR filter has been simulated and synthesized for achieving optimized results. The simulation results of the proposed FIR filter architecture illustrate that it operates at least 20 percent faster than traditional multiplier-based FIR filters
Cross-spectral Gender Classification Using Multi-spectral Face Imaging
Authors: Vetrekar Narayan , Naik Aparajita , Gad R. S. 
Published: June 2021

Abstract
Soft biometrics has been gaining significant attention in biometrics literature for usage in recognition system. Gender classification is one such soft biometric traits that has been studied extensively using visible spectrum range and limited studies beyond visible spectrum. In this paper we present the cross-spectral gender classification using Multi-spectral imaging. We present this study using the facial images captured in nine narrow spectral bands ranging from 530nm to 1000nm. Further, we present an extensive benchmark evaluation based on state-of-the art linear Support Vector Machine (SVM) classifier for facial discriminative features in the cross spectral data in a robust manner. The extensive evaluation results based on 10 fold cross-validation indicates the highest average classification accuracy of 92.84% for cross-spectral study.
Sum-Rate Analysis of Intelligent Reflecting Surface Aided Multi-User Millimeter Wave Communications System
Authors: Sur Samarendra Nath , Singh Arun Kumar , Kandar Debdatta , Bera Rabindranath 
Published: June 2021

Abstract
Intelligent reflecting surface (IRS) is emerging as one of the potential solutions for the future generation communication system. By exploiting a controllable large number of passive elements, IRS is envisioned to provide a high spectral and energy-efficient network. For successful implementation of IRS, it is required to have optimization at a different level and here, this paper analyzed the sum-rate performance of a IRS assisted multi-user(MU) millimeter wave(mmWave) system by exploiting the joint optimization of the active and passive beamforming. Here in this paper, we have considered zero-forcing (ZF) and minimum mean square error(MMSE) based linear precoder. Through the simulation, we have demonstrated the achievable gain due to optimization, and also a relative performance comparison between the precoders is also presented.
Implementation of ANN Trained Voltage Control Scheme for Grid Islanded DG System
Authors: Srinivas Chodagam , Balarama Krishna Rao Y V , Saravanan S , Karunanithi K , Rushi Santhosh Singh T 
Published: June 2021

Abstract
Distributed generation plays a significant role in power generation, but the standalone system has some limitations like excess power generation and sudden increment in load. Grid interconnected DG system mitigates all this type of problems but some different questions arise in this interconnection. How to synchronize the DG system with the grid? If any change in voltage or frequency they lead to disconnect the grid from DG system. But due to sudden loose of grid supply, the phase angle is changed in filter terminal voltage and leads same change in load voltage because when the grid is connected the load receives power from both DG and grid. In grid-connected system current controller is generally used, to maintain the constant current in load side, so in islanding conditions, the voltage profile will get damage and power factor is also dropped. This paper proposes a strategy of two controllers for both grid-connected and intentional islanding modes. PI controller based constant current regulator for grid-connected mode, while ANN based VC controller for intentional islanding mode. These two controllers are operated according to changes occurred at Point of Common Coupling (PCC).
Implementation of Chaotic PWM method for Four phase Interleaved Boost Converter
Authors: Seyezhai R. , Tamilarasi M. 
Published: June 2021

Abstract
Fuel cell is a rapidly developing electrical source, among the several types of renewable energy sources. The fundamental point of this paper is to implement chaotic PWM triggering Interleaved Boost Converter (IBC) for fuel cell. In chaotic PWM method, chaotic carrier signal has been generated. Then, it is compared with the input signal and the modulated signal has been applied to the switching devices of IBC. The simulations are carried out to highlight the benefits of chaotic compared to conventional PWM method. The simulations are validated with appropriate prototype. The ripples are analyzed between conventional and chaotic PWM based IBC. The power loss values of each component in four phase IBC have been calculated and it is proved that the chaotic PWM has less switching loss with improved efficiency compared to conventional PWM method. Also, the energy factors are calculated for chaotic PWM method.
Transverse Forced Vibrations of the Plates, the Dissipative Properties of Which are Described Memory Functions
Authors: Kuldashov N U , Almuratov Sh N , Rayimov D G , Homidov F F , Jalolov F B 
Published: June 2021

Abstract
The fundamentals of theoretical methods for engineering calculations of bending vibrations of thin plates, the material of which has hereditary properties, are presented. The manifestation of the hereditary properties of the material of the plate under consideration at a given stress-strain state can be judged by the relaxation core of the material. The dependence of the creep and relaxation kernels on the time difference corresponds to the fact that the “memory” of the material about the force effect produced at a given moment is determined by the elapsed time interval. In particular, this means that if the force action on the elastic-viscous body is cyclic, then the deformation of the body will also be cyclic with some phase shift. A technique for solving forced vibrations of plates under the influence of harmonic loads is proposed. An exact solution to the problem of forced vibrations of a supported rectangular plate, whose dissipative properties are described by memory functions, is constructed.
Performance analysis of Parabolic Trough Collector using TRNSYS®-A case study in Indian coastal region
Authors: Krishna Y , Faizal M , Saidur R , Manihalla P P , Karinka S 
Published: June 2021

Abstract
A solar water heating system incorporating parabolic trough collector (PTC) with Phase change material (PCM) is simulated using TRNSYS® software. The simulation is carried out to predict the hot water availability during the peak hot water demands of the morning and evening hours. Lauric acid (LA) is used as the primary heat transfer fluid (HTF) to extract the sun’s energy in PTC whereas, water is used as the secondary heat transfer fluid to extract heat from the primary heat transfer fluid. The study models a medium temperature, concentrating parabolic trough collector without any solar tracking components. TRNSYS® simulation components have been studied completely using Type 1245 parabolic trough collector with Type 533 horizontal storage tank with heat exchangers, which fulfils daily hot water demands of domestic and industrial applications. The storage tank is vertically stratified to regulate the temperature of HTF coming out of the collector. The results showed that LA having a thermal conductivity of 0.975 KJ/hr-mK provides a peak energy gain of 18500 KJ/hr in February and 5000 KJ/hr in July along with a 100°C rise in temperature for the city of Mangalore, India. The weather condition of the city provides an average annual collector efficiency of 26%.
Autonomous mobile robot development based on duckietown platform for recognizing and following the traffic sign
Authors: Thiang  , Purwanto Glenn Ryan , Santoso Petrus , Khoswanto Handry 
Published: June 2021

Abstract
This paper presents development of an autonomous mobile robot which can recognize the traffic sign and move according to that recognized sign. The mobile robot was developed based on Duckietown platform, which is a research which focuses on self-driving vehicles. The mobile robot was equipped with a fish eye camera as its vision device and raspberry pi.3 controller module as the main controller for doing image processing in order to recognize the signs and controlling the movement of the robot. The program runs on ROS platform. The system has been tested by moving mobile robot through all area and the results showed average recognition rate of 80%. The system also has been tested in variation of light intensity and the result showed average recognition rate of 80%. Another test also was done by adding disturbance object which has similar or same color as sign color and the result showed average recognition rate of 43.3%.
Development of multilanguage voice control for smart home with IoT
Authors: Ruslan A H , Jusoh A Z , Asnawi Ani Liza , Othman MD R , Abdul Razak N I 
Published: June 2021

Abstract
Internet of Thing (IoT) is very common and demanding nowadays and home automation system is not left behind in this technology. Home automation is the concept of making any home “smart”. In this modern life, Automation is not a new thing. This technology has been using many years and normally can be seen in big companies. This automation concept can benefit our daily lives through many ways. However, the smart home technology in the market right now only support a few languages, generally English. For people who English is not their native language, it becomes a barrier in utilizing voice recognition installed in the smart home. Therefore this project will develop a Multilanguage IoT Home Automation System that focused on people who does not speak English especially elderly people in Malaysia to perform their chores routine such as turn on or turn off light by using voice commands given in their preferred language. Other than voice commands, it could be controlled wirelessly by using apps developed in the Smartphone. This system is based on Raspberry Pi and will be designed to be an affordable and reliable home automation system yet, easy to setup and use. The research focus on the methods of integrating voice recognition technology in many languages in home automation systems. This research can have a strong and positive impact to the society especially on persons with physical disabilities and older persons whom English is not their native language.
Care-giver alerting for bedridden patients using hand gesture recognition system
Authors: Spandana E , Rajasekar M , Sandhya N 
Published: June 2021

Abstract
Hand gestures are most intrinsic way of non-verbal communication. It has been difficult task for hospitals to remove the miscommunication between patients and the healthcare providers, when patients ask for help in emergency or in need. In healthcare centers like hospitals, some systems are having complicated device installation which are expensive and quite hard cumbersome. Human Computer Interaction plays a predominant role in Hand Gesture recognition (HCI). Human Computer Interaction made easy to communicate between human and machine which grabs good attention now a days. An alerting system makes a better alarm model which notifies care-givers when patients require assistance by giving defined hand gestures. The study is related to hand gesture based alerting system which uses camera module to capture the hand images. The system uses background subtraction, image recognition and speech conversion to notify the healthcare providers. It can be useful in hospitals, rehabilitation centers, or assisted living areas, where health care providers can take care of their patients more attentively. With this alerting system it increases the operational efficiency, responsiveness, patient’s and other stakeholders’ satisfaction. For recognized hand gesture text and voice is obtained as output which alerts the care-giver to help the bed-ridden patients.
The Timoshenko Beam Theory based Spectral Finite Element to Analyse Effects of Shear Deformation on Electrostatically Actuated Narrow Thick Clamped Microbeams
Authors: Pakhare Kedar S , Punith P , Guruprasad P J , Shimpi Rameshchandra P 
Published: June 2021

AbstractMEMSdevices utilize electrostatics as preferred actuation method. The accurate determination of pull-in instability parameters (i.e., the pull-in voltage and pull-in displacement) of such devices is critical for their correct design. In the literature, these devices have been majorly analyzed as Bernoulli-Euler microbeams. However, Dileesh et al. (doi: 10.1115/ESDA2012-82536) have studied the pull-in instability behavior of thin microcantilevers by developing a six-nodded Timoshenko beam theory based spectral finite element (TBT-SFE). They have demonstrated the effectiveness of theTBT-SFEby comparing their results with corresponding results ofCOMSOL-based three-dimensional finite element simulations. In addition, effects of shear deformation also start to play significant role as the beam’s slenderness decreases. In this paper, authors have developed theTBT-SFEbased on the work by Dileesh et al. for the case of statics. However, unlike Dileesh et al. where they have developed a six-noddedTBT-SFE, authors have investigated the best combination of number of nodes per element and total number of elements to carry out the proposed study. This finalizedTBT-SFEis then utilized to determine static pull-in instability parameters of narrow clamped microbeams with various beam thickness-to-length ratios. This study highlights the importance of transverse shear effects on pull-in instability parameters of Timoshenko microbeams.
Ground transmitted vibrations in course of innovative vinyl sheet piles driving
Authors: Golik V I , Kongar-Syuryun Ch B , Michałek A , Pires P , Rybak A 
Published: June 2021

Abstract
The article presents field experiences in dynamic monitoring of vinyl sheet pile installation in close vicinity to various buildings. I summarizes experiences gained by student trainees in course of practical excursions and assignments on the building site. The presented case study is somehow unique due to unusual material and technology. Vinyl sheet piles used for the study are lightweight and extremely durable alternative to the traditional materials such as steel, concrete or wood. Application of vinyl sheet piles is an environmentally friendly solution, however, their installation is usually performed by means of vibratory driving. The paper presents basic advantaged of technology, examples of applications and sheet pile wall installing procedures. Result of continuous dynamic monitoring of piling works and observations of neighbouring structures technical conditions are presented, discussed with regard to other (formerly published) results and form the basis for conclusions about presented technology applicability.
Experimental investigations on effect of surface treatment of aluminum based metal matrix composites using laser
Authors: Sankhla Arvind , Patel Kaushik M 
Published: June 2021

Abstract
Laser sintering is one of the most widely used methods for fabricating advanced materials such as metal matrix composites (MMC). It offers a great deal of flexibilities to deal with complex shapes. Laser sintering is also a critical method to deal with constituents of metal matrix composites with higher melting point and hardness. In the present work, an attempt is made to present an experimental study wherein Al-MMC is fabricated first with the powder metallurgy route. Then surfaces of MMC are treated with laser. The effect of laser treatment on hardness and wear property is investigated. The treatment of laser on the surface of MMC resulted in increased hardness as compared to untreated MMC, and the wear resistance is found better along with the increased percentage of reinforcement particles. The work also presents a study on the application of laser to process Metal Metric Composite. It gives an idea of different associated process parameters like laser power, scanning speed, and their effect on MMC.
Modelling the electromechanical sensitivity of silicone composites using response surface methodology
Authors: Manohar Shankar B.S. , Kulkarni S.M. 
Published: June 2021

Abstract
Dielectric elastomers are used for sensor and actuator applications. These materials convert voltage applied directly into strain through Maxwell stress. An important parameter in the determination of voltage induced strains is electromechanical sensitivity. This paper presents an approach to establish the model for predicting the electromechanical sensitivity of silicone dielectric elastomer composites using the response surface methodology. Two-factor and two-level, face-cantered composite design is used for experimentation. The parameters which affect the electromechanical sensitivity are selected as superconducting carbon black (SCCB) and barium titanate (BT). Response surface methodology is used to derive second-order quadratic model with interactions. Investigation showed that SCCB has more significant effect than parameter BT, on controlling the electromechanical sensitivity of these composites. Maximum electromechanical sensitivity for these composites was found at around ≤ 4 parts per hundred weight fractions for both the parameters.
Trajectory planning of a 5 DOF feeding serial manipulator using 6th order polynomial method
Authors: Parikh P A , Trivedi R R , Joshi K D 
Published: June 2021

Abstract
In the present era the importance of household and assistive robots has been increasing. Usually assistive robots are serial manipulators having degree of freedom more than three. In this paper a case of vertically downward 5 DOF assistive robots is taken, which helps physically challenged people in feeding. This paper delivers the methodology to build the smooth trajectory for multi-degree of freedom robot using higher degree polynomials method. An optimal trajectory decreases jerk to the end-effector (As end-effector carries food) protects battery life, protects joints from the mechanical vibrations and reduces time to reach at the user. This paper also discusses the forward and inverse kinematic analysis of a T-R-R-R-R type robot, as it is highly recommended before trajectory planning. The paper also compares the trajectories generated by inverse kinematics (Cartesian Scheme) and Joint space scheme. In a nut shell this methodology will be helpful in designing the trajectories of assistive T-R-R-R-R type robots for physically challenged people like Parkinson patients, patients with vertigo or vestibular disorder, neurological disorder and many more.
Analysing the effect of mechanical properties of various proportions of filler material on jute fibre/epoxy reinforced composites
Authors: Senthilnathan K. , Ravi Rajesh , Stephen Leon J. , Suresh G. , Manikandan K. , Lavanya R. 
Published: June 2021

Abstract
In the earlier stage of 1500 BC’S composites were invented. The initial stage of composites was created with the help of mixing the mud and straw for construction purpose, in order to build strong and durable component in the view, to ensure the longer life on the products. After some years, the usage of composite materials is become more, depends on different applications such as appliances, construction, electrical distribution, energy and marine usages and so on. Since the past few decades’ natural fibres plays a vital role in structural applications such as ease of fabrication, low cost, high durability, and for low thermal properties. In the present experimental investigation work, jute fiber has been chosen as the reinforcement agent along with the epoxy matrix material. With help of the hand layup technique the composites have been fabricated along with the standard ratio of (3% & 6%) calcium carbonate as the filler material. The fabricated jute fiber reinforced epoxy matrix (standard ratio of calcium carbonate filler) laminate were cut as per the ASTM standards to do the tests like tensile, flexural & impact, in order to completely analyse the physical strengths of the laminate, and the same data’s were compared with filler materials and without filler material. At last the fractured surfaces were thoroughly investigated with help of scanning electron microscope to understand the morphological behaviour of the fabricated composite.