bluuebunny/crossref_metadata_2025 huggingface dataset:
Flexural Behaviour and Validation of Reinforced Concrete Beams with Opening using Foundry Sand
Authors:   Department of Civil Engineering, Sri Venkateshwara College of Engineering, Bengaluru, India., B M* Naveen Kumar , M S Dr. Latha ,   Department of Civil Engineering, Sri Venkateshwara College of Engineering, Bengaluru, India., S Priyanka ,   Department of Civil Engineering, Sri Venkateshwara College of Engineering, Bengaluru, India., M P Rudraswamy ,   Department of Civil Engineering, Vivekananda Institute of Technology, Bengaluru, India
Published: February 2020

The provision of transverse openings in floor beams to facilitate the passage of utility pipes and service ducts results not only in a more systematic layout of pipes and ducts.it also translates into substantial economic savings, in the construction of a multi-storey building. Along with opening, the partial replacement of foundry slag sand with crushed stone is done which further reduces the cost of the beams. In order to obtain the optimum level of replacement, foundry slag sand is varied from 0-100% and tested under compressive strength for maximum strength. With help of ANSYS software, various shapes of openings, keeping equivalent area of cross section such as rectangular and provided at critical zone are modelled and analysed. To reduce stress concentration at corners of the openings, Special reinforcements are provided as per ACI specification. With that optimum shape experimental work is carried out. Where 3 beam were casted of size 2000*450*230mm and tested under loading frame with two pint loading and simply supported condition. The results obtained such as deflection, initial cracks, and ultimate failure load were compared with the beams without openings, with openings using foundry slag sand and without using foundry sand. Also comparison of analytical results with that of experimental results was carried out.
Enhanced QoS Multicast Routing Protocol in MANETs using Trust and Load Balance
Authors:   Research Scholar, Department of Computer Science, SVU college of CM&CS, Tirupathi, India., Sirisala* Srinivasulu , Krishna. S Rama ,   Professor, Department of Computer Science, SVU College of CM&CS, Tirupathi, India.
Published: February 2020

Mobile ad-hoc network (MANET) is a wireless networks without fixed infrastructure, where each node can interact with its one hop distance neighbors only. Since the nodes are continuously moving from one location to another location, the network topology is not constant. Provisioning of Quality of Service (QoS) in MANETs is a challenging task because of its unstable nature. In multicast routing protocol, a sender node is sending the data to the group of members (multiple destination nodes), where the intermediate nodes resources are consumed at higher rate. In this paper, utilization of node resources (QoS parameters) is minimized by considering node attitude (trust) and load balancing. Here node energy and link bandwidth are considered as the QoS parameters. The proposed method "Enhanced QoS Multicast Routing Protocol in MANETs Using Trust and Load Balance-QMTL" identifies the intermediate nodes with higher trust values and constructs the multicast tree with optimized load balance. The performance of proposed method is analyzed theoretically (using asymptotic notations) and practically (using simulation tool-ns2)..
Geographical Background of the Bhabar-Tarai Belt of Lower Assam District, India
Authors:   Research Scholar, Department of Geography, Gauhati University, Assam, India, Devi Rima
Published: February 2020

From geo-ecological point of view, the Bhabar-Tarai belt bears immense significance as it considers as shelter belt for diverse species. It may be mentioned as a hub of interaction among all biota that holds life to sustain. Being a rich domain in respect of plant and animal species, the belt is composed by pebbles, sand, and silt with thick forest cover and ranges from dry disappearance river bed topography to wet, marshy land one. With an area of 3994.25 sq.km, Lower Assam district is also flourished by this notable structure of physiography out of which 89.24% are Tarai followed by 10.75% of Bhabar. Most of the area is covered by BTAD areas along withsignified Assam-Bhutan Boarder that support a great number of people with their associated livelihood compositions. For more details, there has made an attempt of analysis this important zone of physical features along with adopted form of belongingness of people to the area as well. The paper is prepared on the basis of both primary and secondary data and findings are represented with the help different digital cartographic techniques.
Robotic Surgery: A Boon or a Bane to Medical Science
Authors:   Commerce, St. Joseph’s College of Commerce (Autonomous), Bangalore, India., Ravi* Hariharan , R* Vedapradha. ,   Commerce, St. Joseph’s College of Commerce (Autonomous), Bangalore, India., Muralidharan P. ,   Commerce, St. Joseph’s College of Commerce (Autonomous), Bangalore, India., M Ilankadhir. ,   School of Management Studies, Sathyabama Institute of Science and Technology (Deemed to be University), Chennai, India.
Published: February 2020

Purpose: The study aims at assessing the robotic surgery awareness among the patients and challenges concerning the cost involved in the current scenario. Design/Methodology/Approach: Convenience sampling was adopted to derive the sample size of 60 respondents, who were the specialized surgeons performing robotic surgery in the vicinity of urban Bangalore working in leading hospitals. The research is confined to the primary source of data collection considering awareness, communication, time, cost, affordability, recovery time, formal training, gender and number of surgeons as variables. Factor Analysis, Cluster Analysis, and Chi-square tests were applied to justify the hypothesis. Findings: Sampling and adequacy test resulted (KMO = 0.609) statistically significant at 0.01 per cent. Level of awareness the technology among the patients proves to be the most influencing factor for the success of robotic surgery with extraction loading being 0.817. The attitude of the surgeons and patients constitutes 36.85 per cent variance that is explained by the variables. There is no important statistical relationship between genders, cost of surgery, age of the surgeon and recovery time frame for the successful medical surgery. Originality/Value: Robotic surgery employs Artificial Intelligence to sustain tremors in the surgeon’s movements to facilitate accuracy in performing medical surgery. The future is extremely promising to witness the medical profession to ensure a sense of complex digital signatures associated with robotic and videoscopic procedures to provide actionable feedback to surgeons on the improvement and performance.
Engineered Black Carbon Pertinence for Environmental Remediation
Authors:   Department of chemical engineering, VFSTR (deemed to be university), Andhra Prasdesh, 522213, India., Vijetha* P. , Subbaiah T. ,   Department of chemical engineering, VFSTR (deemed to be university), Andhra Prasdesh, 522213, India., Bhuvaneswari K. ,   Department of chemical engineering, VFSTR (deemed to be university), Andhra Prasdesh, 522213, India., Naidu M. Ramesh ,   Department of chemical engineering, VFSTR (deemed to be university), Andhra Prasdesh, 522213, India., Reddy A. Ranganadha ,   Department of biotechnology, VFSTR (deemed to be university), Andhra Prasdesh, Katari K. Naresh ,   Department of Chemistry, GEETHAM (deemed to be university), Hyderabad,Telangana, India
Published: February 2020

It is acknowledged that biochar is a considerable tool for soil prolificacy and seclusion of carbon. Water bodies affected by toxins can be treated with biochar, which acts as a good adsorbent. It is necessary to perceive its physical and chemical properties, which are firmly associated to the kind of feed stock and environment, is important to detect the purposeful biochar employment in soil. In order to make an effective use of biochar as a soil amendment, biochar is prepared by pyrolysis of different types of agricultural wastes at different temperatures (300, 400, and 500). Biochars produced at elevated temperatures gives good results for adsorption compared to the biochar produced at low temperatures. The components present on the biochar surface determine its contaminant removal capacity.
Customer Experience Management in the Detailing Industry
Authors:   Assistant Professor, Institute of Business management, GLA University, Mathura, India., Bansal* Dr. Kapil
Published: February 2020

Retailing, also popularly known as ‘detailing’, is becoming the blue-eyed sector of the emerging neo-liberal economy, generating revenues of approximately US$125 billion and is expected to get double to US$ 250 billion by 2020 from US$125 billion as of April 2017. For attracting the customers, organized retail stores need to be crème de la crème in terms of generating the value and differentiate their outlets from other unorganised retail stores. ‘Retail is Detail,’ so, organized retail players have to manage the customer experience and need to target the markets in best possible ways. This study analyzes the various factors that determines the customer experience in retail outlets. Also, the paper establishes some strategies for customers. Thus, implications are drawn for retail stores, as a result of the analysis and interpretation done.
Path Loss Optimization in RFID based Passport Identification at Airport Logistics System
Authors:   MTech, Institute of Engineering & Management, Salt Lake Kolkata., DE* ARITRA , Datta Tirthankar ,   PhD (Engg.) Degree in Microelectronics & Nano Technology under the Department of Electronics & Telecommunication Engineering of Jadavpur University.
Published: February 2020

Radio Frequency Identification (RFID) is a contact less technology that has multiple application in the modern era. RFID is used in passport identification at airport to match and identify the multi user .A Multiple Input Multiple Output (MIMO) is used in RFID to identify the multi user simultaneously. The information is transmitted from multiple transmitter and receiver of RFID system simultaneously so there is a change of interference also if the RFID system is used in different environmental or in different height then there is chance of path loss during the signal transmission from the transmitter to receiver .Successive interference technology and optimal value of frequency with distance is maintained to minimize path loss.
Different Dimensions of IOT Security
Authors:   M.Tech(CSE), School of Computer Science and Engineering, Galgotias University, Greater Noida, India., Sharma* Narendra , Prakash Reitwick ,   School of Computer Science and Engineering, Galgotias University, Greater Noida, India., Rajesh Dr. E. ,   Associate Professor, School of Computer Science and Engineering, Galgotias University, Greater Noida, India.
Published: February 2020

IOT is wirelessly connecting things to the internet using sensors, RFID’s and remotely accessing and managing them over our phone or through our voice. IOT uses various communication protocols such as Zigbee, 6LowPan, Bluetooth and has bi directional communication for exchange of information. The database for IOT is cloud which is also vulnerable to security threats. The increasing amount of popularity of IoT and its pervasive usage has made it more recurrent to prominent cyber-attacks such as botnet attack, IoT ransom ware, DOS attack, RFID hack. The challenges faced by IoT are to stop hackers from stealing data, having unattended access to the device and performing malicious activities. There are many techniques which can be used to secure IoT devices such as using a secure encrypted Wi-Fi network, using digital signature for authenticity, updating to latest patches, installing Intrusion Detection System. We’ll also be assessing various IoT devices and threats associated with them in real time environment and the level of harm these threats can cause to the device if they are not properly mitigated or eradicated. In this paper we’ll also be addressing different types of risks associated with different IOT devices and approaches to solve the security and privacy issues.
Effects Of Terrorism And Natural Calamities On Stock Market
Authors:   Assistant Professor, ICBM -SBE, Hyderabad, India, Azhar* Dr. Syed , Ramesh Dr. B. ,   Associate Professor, GITAM University, Hyderabad, India, Rai Akshita ,   Student, ICBM-SBE, Hyderabad, India
Published: February 2020

The objective of the article is to reveal the consequences of Terrorism and Natural Calamities on the stock Markets. There are various risks associated with these events and most importantly no one can even forecast until and unless it occurs. This research enables us to understand that terrorism being a geopolitical event impacts the trade globally and natural calamities being region specific cause the damage to a confined area unless the area of devastation is a commercial center or a hub. It is observed that these two events bring high volatility in the market when they are either politically influenced and are responsible for great damage not only to humans but also to assets. The study used 10 events comprising of five terrorist events and five natural calamities. T test has been applied in order to understand the effect of the sample events. The study identified that these events demotivate the investors and force them to sell their investment in stock market. The effect of terrorism is significant whereas natural calamities did not have any significant effect on the stock market. But at this crucial moment any investor should not panic and shuffle the investments. Whereas speculators can take this as an opportunity to earn small gains after the occurrence of the event.
An Efficient Mining for Recommendation System for Academics
Authors:   Research Scholar Ph.D (Computer Science & Engineering), Babu Banarasi Das University, Lucknow, India, Akhtar* Nikhat , Agarwal Prof. (Dr.) Devendera ,   Professor, Babu Banarasi Das University, Lucknow, India
Published: February 2020

At present time huge numbers of research articles are available on World Wide Web in any domain. The research scholar explores a research papers to get the appropriate information and it takes time and effort of the researcher. In this scenario, there is the need for a researcher to search a research based on its research article. In the present paper a method of Knowledge ablation from a collection of research articles, is presented to evolve a system research paper recommendation system (RPRS), which would generate the recommendations for research article based on researcher choice. The RPRS accumulate the knowledge ablated from the pertinent research articles in the form of semantic tree. It accumulates all the literal sub parts with their reckoning in nodes. These parts are arranged based on their types in such a way that the leaf nodes stores the words with its prospect, the higher layer gives details about dictum with its reckoning, next to it an abstract. A Bayesian network is applied to construct a verisimilitude model which would quotation the pertinent tidings from the knowledge tree to construct the recommendation and word would be scored through TF-IDF value.
Properties of 12% reinforced Aluminium Based Metal Matrix Composites
Authors:   Assistant Professor, Mechanical Engineering Department Institute of Technology, Nirrma University, Patel* Anand S , Bagga Prashant J ,   Assistant Professor, Mechanical Engineering Department Institute of Technology, Nirrma University, Sankhla Arvind M ,   Assistant Professor, Mechanical Engineering Department Institute of Technology, Nirrma University
Published: February 2020

It is always endeavor of ongoing research in material science to take advantage of specific or particular properties of the constituent material present in a composite material. Aluminum based metal matrix composites have been developed to tailor the properties. Aluminum is a preferred choice for metal matrix composites (MMC) for several reasons like low density, high thermal and electrical conductivity and good damping capacity. Al-MMCs exhibit improved mechanical properties, when reinforced by ceramics like Al2O3 and SiC. This paper presents an experimental study to produce Al-MMC by powder metallurgy process in which fine aluminum powder reinforced by ceramic particles like SiC and Al2O3 by 12% of its total weight. The green compact is produced using a set of die and punch and necessary compaction of blended powder is obtained using a mounting press. Sintering of green compact is carried out at temperature of 95% of melting point of matrix material for 1 hour. The study of density, hardness, compressive strength and dry sliding wear capability of fabricated MMC is attempted. The average hardness of MMC is found to be increased 2-3 times as compared to pure commercial aluminium with deviation of 11% in the density obtained experimentally.
PI and Fuzzy Controller Utilizing PV-HESS Based Zeta Converter for BLDC Motor Drive
Authors:   Associate Professor, Department of EEE, Aditya college of Engg. & Tech, ADB road, Aditya Nagar, surampalem, East Godavari Dist, India., Rajani* Dr. B. , Seshadri Dr. G. ,   Professor, Department of EEE, Holy Mary Institute of Tech and Science, Hyderabad, India., Kumar T. Anil ,   Asst. Professor, Department of EEE, institute of aeronautical Engg., Hyderabad, India, Mohan Dr. V. Chandra Jagan ,   Asso. Professor, Department of EEE, Institute of Aeronautical Engg., Hyderabad, India.
Published: February 2020

Due to speedy enfeeblement of finite resources in the early modern period of development, non conventional resources of energy, are being focused in various countries to reach the growing demand of electrical energy. Increased importance of non conventional energy in the auto mobile industry needs the use of brushless DC (BLDC) motor drives to fuel solar photo voltaic (PV). To overcome the disadvantages in the conservative DC-DC converters, Zeta converters are enterprising to optimize power processing. By regulating the duty cycle of the Zeta converter through particle swam optimization (PSO) we obtain the maximum power from PV array. To mitigate changes in output of PV, the Hybrid Energy Storage System (HESS) is implemented into the PV system to maintain a continuous voltage at the BLDC motor input. The robust power management algorithm controls the PV-HESS system .By keeping the power management of maximum power point tracking the Zeta converter can meet the trouble free performance of the system. The interpretation of the BLDC motor with zeta converter relic verified using proportional integral(pi) and fuzzy logic(FL) controller. Design method and parametric analysis is carried out in MATLAB simulation and results are validated.
Prediction of Paper Mill Wastewater Treatment Process Parameters in Sequencing Batch Reactor using Fuzzy Logic Technique
Authors:   Ph.D. & Research Scholar, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, India., S. N*. Saranya , Kumar S. Lakshmana ,   Assistant Professor, Department of Mechanical Engineering, Sona College of Technology, Salem, Tamil Nadu, India., Jawahar R. Raj ,   CEO, Dynamech Design Solutions, Chennai, India.
Published: February 2020

Integrated paper and pulp mills utilize logs and wood chips for the production of paper. During the process, the expose of raw effluents affect the environmental factors. In this analysis, waste water from paper mills was processed with the SBR (sequencing batch reactor) cycle. The effect of microbes and aeration periods with varying amounts of waste water on the efficiency of SBRs has been evaluated. During the tests, removal efficiencies of COD, BOD and TDS have been tracked. For experimental design, study and optimization, Box-Behnken core composite architecture was implemented. To maximize SBR performance, Fuzzy logic control was used. The SBR demonstrated higher efficiency in removal output on the basis of the tests. At the optimum conditions of microbe dosage of 55 ml aeration time of 5 hrs and wastewater concentration of 75% and the SBR achieved maximum removal percentage of COD, BOD and TDSis 88.18%, 91.80% and 87.12%respectively.
Simulation of Mass Flow Rate of Air through Rectangular Split Duct
Authors:   Department of Mechanical Engineering, DVK MIT World Peace University, Pune, India., Deshmukh* Vaibhav N. , Sirsat Sagar A. ,   Department of Mechanical Engineering, DVK MIT World Peace University, Pune, India.
Published: February 2020

Adequate supply of oxygen is essential for the complete combustion of fuel in the furnace of a boiler and defective duct design may cause serious loss in the boiler efficiency due to incomplete combustion. In boiler there is a system which controls the air flow rate reaching to the furnace. FD fan helps to build the pressure and force the air to pass through the duct and wind box. In wind box, this air will be sent to the furnace for helping combustion process. The main objective of this work was to simulate the flow of air from blower to the inlet of a wind box through rectangular split duct to see whether it could provide improved flow conditions and to see whether there was equal mass flow rate of air through both the legs of a split duct. The purpose of providing a split duct was to eliminate one blower which would otherwise be required for two separate ducts arrangement. A 3D model using CFD was prepared to capture the changes in the mass flow distribution in the duct at two different outlets. Through this analysis, it was found that the mass flow rates of air through the two legs of the split duct were not equal. The damping needs to be provided for the duct having longer length in order to have equal mass flow rate of air through both the legs of the duct.
Effect of Greenhouse Gases on the Behaviour of Parabolic Trough Collector Based on CFD Simulation
Authors:   Assistant Professor, Department of Mechanical Engineering, Graphic Era Deemed to be University Dehradun, India., Kanojia* Ravi , Patil * Pravin P. ,   Professor, Department of Mechanical Engineering, Graphic Era Deemed to be University Dehradun, India.
Published: February 2020

Energy extraction by solar energy harnessing method is one of the most futuristic approach to accelerate towards green technologies. The parabolic trough solar collectors are most widely used entities in entire world for solar water heaters. The existing problem of low rate of water heating is disadvantageous for its commercial use. Hence the study focuses on observing the effect of greenhouse when the evacuated tubes are equipped with most common greenhouse gas CO_2 (Carbon dioxide). The simulations were carried out on Ansys (FLUENT) at steady state conditions. The parameters observed to compare the rate of boiling are Cell Reynolds number, Surface skin friction and the average steady state temperature. The greenhouse gas seems effective in increasing the rate of boiling due to which the Cell Reynolds number has increased in both minima and maxima.
Mathematical Modelling of a Three Tube Heat Exchanger for Hot Two Pass and Cold one Pass Flow (Both from Front end) Arrangement
Authors:   Assistant Professor, Department of Mechanical Engineering,VNR VJIET Hyderabad, India., Putha* Prasad Kumar , Pendyala Dr. Srinivas ,   Associate Professor, Department of Mechanical Engineering, GITAM Hyderabad, India.
Published: February 2020

A three tube heat exchanger is a special type of H.E having three concentric tubes with multi-pass arrangements for one of the fluid. This is a mixed type of heat exchanger which is neither pure counter flow nor pure parallel flow. Simultaneously it gives both parallel and counter flow arrangements for any flow directions of two fluids. This is also a type of multi-pass and a compact type of heat exchanger. The work involved in this investigation is to analyze the performance of 3-tube heat exchanger by formulating differential equations using energy balance in differential form. These differential equations are solved by using a numerical technique viz., by 4th order Runge-Kutta method with boundary conditions. Figure numbers 5 to 8 shows the temperature plots along the length of the three tube heat exchanger in dimensionless form. The plots are obtained for four different values of F, which is a capacity rate ratio. The temperature profile nature is as expected for different arrangements resulting from entry of hot and cold fluids. By using this temperature plots effectiveness and NTU are determined for different capacity rate ratios. The results are concluded at the end.
Phase Differences Based Coherence Filter for Dual-Microphone System
Authors:   Information Technologies and Programming Faculty, ITMO University, Saint-Petersburg, Russian-Federation., The* Quan Trong
Published: February 2020

This paper proposes a dual-microphone coherence filter, which based on phase difference of two noisy signals. This method passes, without dirtortion target speaker. In real noisy environment, it’s difficult to get exactly information of condition noise field, especially in complex environment. Therefore a post-filtering, which is a function depends on speech presence probability, is suitable for compact dual-microphone and is adapted in the author's approach. The performance of suggested algorithm proved the stability and efficiency of the algorithm. This approach allows increasing performance of speech enhancement in term of signal-to-noise ratio and the amount of noise reduction. The author intends to continue using phase differences as conditions for different algorithms speech quality improvement under various noise conditions.
Differences Amplitude Based Improvement of Minimum Variance Distortionless Response Filter
Authors:   Information Technologies and Programming Faculty, ITMO University, Saint-Petersburg, Russian-Federation., The* Quan Trong
Published: February 2020

In this work, the author introduces a new technique for improving the performance of minimum variance distortionless response filter in condition of coherent noise. The proposal algorithm exploits a priori information of differences amplitude to balance power spectral densities of observed noisy signals. The output signal of MVDR filter is then processed by an additional post-filtering, which based speech presence probability to suppress more noise interference and increase quality speech. In experiments using two noisy signal recordings in anechoeic room, the modified MVDR-filter results provides that the suggested algorithm increases speech quality compared to the conventional MVDR filter.
Corrosion Characterization of Al-4mg Based Metal-Metal Composite with High Strength Alloy Particulate As Reinforcement
Authors:   Department of Mechanical Engineering, Acharya Nagarjuna University, Guntur, India., Reddy* Ch. Kishore , Krishna M. Gopi ,   Department of Mechanical Engineering, Acharya Nagarjuna University, Guntur, India., Ramana V.S.N. Venkata ,   Department of Mechanical Engineering, GIT, GITAM University, Visakhapatnam, India.
Published: February 2020

A ternary alloy (Al20Cu20Mg) high strength metallic particulate was reinforced in a base matrix binary alloy of Al-4Mg to prepare a metal-metal composite. This was investigated for corrosion behaviour. High Strength Alloy particulate (HSAp) of non-uniform size from the ternary alloy was utilized with weight proportions of 5%, 10%, and 15% to prepare composites using stir casting process. The prepared composites were extruded into circular rods of 14 mm diameter. The potentiodynamic polarization test was conducted on the extruded specimen and it is found that the pitting corrosion was improved considerably by the addition of Al20Cu20Mg as reinforcement in Al-4Mg.
Design of Microstrip Patch Antenna with Enhanced Bandwidth and Harmonic Suppression for Wlan Applications
Authors:   Dept. of E&TC, AISSMS College of Engineering, Pune, India, Bhalke* Dr. D.G. , Sunita* Thorat ,   Department of E&TC, AISSMS College of Engineering, Pune, India., Mapari Dr. Rahul ,   Department of E&TC, PCCOER, Pune, Kothe Rutuja ,   department of E&TC, SKNCOE Pune, India
Published: February 2020

A parallel combination of pair of λ/4 Resonator and the rectangular patch has enhanced the bandwidth and suppressed the unwanted harmonic radiations of the proposed antenna. Due to electromagnetic coupling effect, the pair of λ/4 resonator excites the radiating patch. Both λ/4 resonator and resonating patch excites at two different frequencies which are close to each other and this helps to increase the bandwidth of a proposed antenna. Also a shorting pin is used between the two λ/4 resonators which suppress the unwanted harmonic radiations. Design of a proposed antenna is done using the HFSS (High Frequency Simulation software). The Hardware results are observed on VNA (Virtual Network Analyzer).The operating frequency 3.6GHz.The proposed antenna is used in WLAN applicatio
Optimization of Reservoir Operation using Linear Programming
Authors:   Civil Engineering, Sapthagiri College of Engineering, Bangalore, Visvesvaraya Technological University, India., Raju* B C Kumar , Gowda C Chandre ,   Centre for Incubation Innovation Research & Consultancy, Jyothy Institute of Technology, Bangalore, Visvesvaraya Technological University, India., B S Karthika ,   Civil Engineering, Jawaharlal Nehru National College of Engineering, Shivamogga, Visvesvaraya Technological University, India.
Published: February 2020

The paper aims to derive the optimal releases monthly through linear programming for a single purpose reservoir. The releases from the reservoir are usually based upon the rule curves or operating policy adopted. The rule curve is the storage, indicating the water levels to be maintained in-order to satisfy the demand during the operation period. Linear programming (LP) is one of the global optimization techniques that have gained popularity as a means to attain reservoir operation. In the present study Linear Programming was used to develop an operation policy for Hemavathy Reservoir, Hassan District Karnataka, India. The decision variables were monthly reservoir releases for irrigation and initial storages in reservoir at beginning of the month. The constraint bound for the reservoir releases was reservoir storage capacity. The results derived by using Linear Programming shows that the downstream irrigation demands were satisfied and also considerable amount of water was conserved from reduced spills.
Markov Random Field Based Color Texture Segmentation
Authors:   Research Scholar at Sathyabama University Chennai and Assistant Professor, Department of Electronics and Telecommunication, MIT College of Engineering Pune, India., Kinge* Sanjaykumar , Rani* B Sheela ,   Director Research at Sathyabama University, Chennai, India., Sutaone Mukul ,   Professor and Deputy Director College of Engineering Pune, India
Published: February 2020

Texture segmentation is one of the popular research domains and researchers across the globe are working on texture segmentation to enhance segmentation performance to address its requirements in many fields. Color texture segmentation has wide spectrum of applications in diverse fields such as segmentation of natural images, medical image analysis, remote sensing, shape extraction and inspection of products etc. This paper presents color texture segmentation algorithm which can satisfy requirements for such applications. Proposed algorithm is based on Markov Random Field (MRF) model eliminating the need of major contributor viz. Gabor filter used in past four decades for feature extraction and use only color as texture feature. Highly crude segmentation results are produced using only color as texture features. Crude segmentation results are enhanced by using Median filter with enlarged window size quantitatively determined by using parameters viz. structural similarity index (SSIM), mean square error (MSE) and peak signal to noise ratio (PSNR). Feature space dimensions are reduced by factor of 11 in proposed approach and this reduced computations by a factor of 11. The experimentation is carried out on 80 multi-class color texture benchmark images from Prague texture segmentation dataset and 4 benchmark images in Vistex dataset. Mean segmentation accuracy achieved for Prague texture dataset is 87.55% and it is higher by 9.82% over the best performing algorithm among 11 state-of-art algorithms suggested in most recent literature. Accuracy achieved for Vistex dataset is 98.21%. Average SSIM for Prague dataset is 0.91403 and Vistex dataset is 0.9405.
DC-DC Converter used for Series-Parallel Hybrid Electric Vehicle
Authors:   Assistant Professor, Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India., Sonar* Santosh
Published: February 2020

Recently, the area of Hybrid Electric Vehicles (HEV) has seen a tremendous growth all over the world. Due to increasing levels of emissions from the conventional vehicles, rising fuel prices and environmental concerns due to global warming, entire focus of automotive industry is shifted to development of HEV’s. The HEV’s are classified into various configurations depending upon the degree of hybridization which include the performance of the IC engine and electric battery simultaneously for the traction purpose. The physical overview and modeling of Hybrid electric vehicle is discussed. The importance of the dc-dc converter which acts as an interface between battery and the motor drive for bi-directional power flow is proposed .In this paper, bi-directional full bridge dc-dc converter and its implementation in Series-Parallel HEV is presented .This converter topology accounts for motoring as well as regenerative braking operations.
Automatic Speech Recognition with Stuttering Speech Removal using Long Short-Term Memory (LSTM)
Authors:   Department of Computer Science and Engineering, SRM Institute of Science and Technologyy, Kattankulathur, India., Girirajan* S. , Sangeetha R. ,   Department of Computer Science and Engineering, SRM Institute of Science and Technologyy, Kattankulathur, India., Preethi T. ,   Department of Computer Science and Engineering, SRM Institute of Science and Technologyy, Kattankulathur, India., Chinnappa A. ,   Department of Computer Science and Engineering, SRM Institute of Science and Technologyy, Kattankulathur, India.
Published: February 2020

Stuttering or Stammering is a speech defect within which sounds, syllables, or words are rehashed or delayed, disrupting the traditional flow of speech. Stuttering can make it hard to speak with other individuals, which regularly have an effect on an individual's quality of life. Automatic Speech Recognition (ASR) system is a technology that converts audio speech signal into corresponding text. Presently ASR systems play a major role in controlling or providing inputs to the various applications. Such an ASR system and Machine Translation Application suffers a lot due to stuttering (speech dysfluency). Dysfluencies will affect the phrase consciousness accuracy of an ASR, with the aid of increasing word addition, substitution and dismissal rates. In this work we focused on detecting and removing the prolongation, silent pauses and repetition to generate proper text sequence for the given stuttered speech signal. The stuttered speech recognition consists of two stages namely classification using LSTM and testing in ASR. The major phases of classification system are Re-sampling, Segmentation, Pre-Emphasis, Epoch Extraction and Classification. The current work is carried out in UCLASS Stuttering dataset using MATLAB with 4% to 6% increase in accuracy when compare with ANN and SVM.
Improving Quality of Academic Advisory Information with Executive Information System
Authors:   Department of Computer Science, School of Computer Science, Bina Nusantara University Jakarta, Indonesia, Heriyanni* Eileen , Darudiato Suparto ,   Department of Information System Matana University Tangerang, Indonesia
Published: February 2020

Executive Information System (EIS) is part of Business Intelligence (BI) which offering method for combining and mapping information from each different source into a holistic view [8], information visualization and dashboard usage [16] so that the Executives can analyze and assess from several viewpoints for planning choices and future acting strategies [8]. This research focuses on the Executive Information System (EIS) as the main solution for Executives of Student Advisory Center (SAC) in Bina Nusantara (BINUS) University. EIS Lifecycle Development is used as a main method to build EIS SAC. Information mapping from various source done with Extract Transform Load (ETL) and stored at data warehouse and then shown as combined dashboard, graphics and text. Technology Acceptance Model (TAM) is a model that explains and predicts how a User receives and uses a technology. In this research, TAM is used as a method for evaluate EIS SAC, which measured through four viewpoint such as Perceived Usefulness that show how the technology helped enough for improving the Executives work performance; Perceived Ease of Use that show how the technology will reduce the effort required, both physically and psychologically in completing the Executives work; Attitude Toward Using that show how the technology give a positive impact on work performance; and Behavioral Intention to Use that show the intention to implement and use the technology. The needs of students’ information in each SAC sub unit is different and each sub unit provides its own data needed to be able to produce the information needed. Through the EIS SAC, information from different sources in each sub unit can be presented more quickly, more easily, and at the same time as a tool for Executive SAC BINUS University to determine choices and action strategies on low-achieving students.
Commutation issues in Single Phase Matrix Converter
Authors:   This work has been supported by Thapar Institute of Engineering and Technology, Patiala, Punjab, India.The Author is with the department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India, Sonar* Santosh
Published: February 2020

This paper presents a single-phase AC-AC matrix converter as a frequency converter. Due to continuous increase in the use of electronics converters like AC- AC, AC- DC, DC –AC and DC-DC, there is always a thrust to develop a converter, which generates lesser harmonics, minimum switching losses and high quality desired waveforms across output and input. It stimulates the researchers to innovate new ideas to minimize these effects. In this paper, the focus is to design and Implementation of Matrix Converter (MC) for frequency changing applications .A simple PWM mechanism is proposed to design a mathematical model of single phase Matrix Converter. There is no DC link between rectifier and inverter stage which add up some efficient properties like compact design, bi-directional current flow capabilities. A suitable commutation technique is analyzed. Simulation work is done in MATLAB Simulink environment and comparison with mathematical results is presented.
Ambipolar Reduction Methodology for SOI Tunnel FETs in Low Power Applications: A Performance Report
Authors:   Deptt. of Electronics and Communication Engg., Surendra Institute of Engineering and Management, MAKAUT, West Bengal - 734009, India. (Research Scholar at SMIT, SMU, Sikkim, India)., Dutta* Ritam , Paitya Nitai ,   Deptt. of Electronics and Communication Engg., Sikkim Manipal Institute of Technology, SMU, Sikkim - 737136, India., Majumdar Abhishek ,   Deptt. of Electronics and Communication Engg., Jalpaiguri Govt. Engineering College, MAKAUT, West Bengal - 735102, India.
Published: February 2020

Continuous device scaling of tunnel field effect transistors (TFET) faces real challenges in low power VLSI applications. Here in this article, the major limitation of TFET i.e. Ambipolar conduction behavior has been thoroughly discussed and remedies to suppress the leakage current (IOFF) has also been investigated. A thin pocket layers is incorporated in source and drain regions separately at Silicon on Insulator (SOI) TFET, keeping supply voltage (VDD) at 0.5 V. The detail analytical modeling of surface potential distribution along the channel, electric field and tunneling current is derived in this paper. Using two-dimensional numerical device simulator, the various designs are modeled and validated with our proposed methodology. Non-local Band-to-Band tunneling (BTBT) is used for simulation purpose. It is observed that a drain pocket actually helps to reduce the ambipolar conduction and provide better drive current (ION) for fast switching. This further improves the ION/IOFF ratio and also results better subthreshold swing (SS) as 27.43mV/decade to optimize the device characteristics.
Groundwater Modeling using GIS Techniques
Authors:   PhD Scholar, Department of Civil Centre of Remote sensing and GIS, Maulana Azad National Institute of Technology Bhopal Madhya Pradesh, India, Shukla* Vimal , Sarup Dr. Jyoti ,   Associate professor Department of Civil Centre of Remote sensing and GIS, Maulana Azad National Institute of Technology Bhopal Madhya Pradesh, India
Published: February 2020

Geographical information systems (GIS) have become the most significant tool for mapping and modeling of groundwater level resources. An effort has been made to describe the groundwater level of district Bhopal, Huzur Tehsil, Madhya Pradesh, India. Bhopal district, Huzur Tehsil, Madhya Pradesh, India, is faces the problem of groundwater attainable in a few years. For assessing the groundwater Level suitability through GIS interpolation model techniques is used. Geospatial techniques employed for Geographical information systems (GIS) is more being used in the water resources managed and field of hydrology , and monitoring the groundwater level. This is the greatest advantage of using GIS interpolation methods techniques for Groundwater level (bore well) monitoring is its ability to generate information in water level potential position conditions in the area study, which is afford very critical for successful analysis, prediction, and validation. In the study, Kriging interpolation model method technique is used to interpolate the groundwater level and provided a suitable area of groundwater level positions. These are applying in the Interpolation techniques of groundwater levels fluctuation that were carried out for the year 1996-2015, and finally, we generated the fluctuation maps that show the fluctuation in period between the years 1996-2000, 2001-2005,2006-2010 and 2011-2015, and show the Ground water level Potential Zone (GWLPZ) maps
Facial Expression Detection using Artificial Intelligence
Authors:   Department of ECE, Koneru Lakshmaiah Education Foundation, Guntur, Kiran* D. Ram , Kumar K .Vinay ,   Department of ECE, Koneru Lakshmaiah Education Foundation, Guntur, Kalyan T. ,   Department of ECE, Koneru Lakshmaiah Education Foundation, Guntur,, Kavya Dr. K. Ch. ,   Department of CE, Koneru Lakshmaiah Education Foundation, Guntur, KUMAR Dr. K. SARAT ,   Department of ECE, Koneru Lakshmaiah Education Foundation, Guntur
Published: February 2020

The research on the facial expression detection or the so-called emotion detection has been multiplying day by day. With effective judgement of feelings, we could get instant feedback from clients, increase better comprehension of the human conduct while utilizing the information technologies and in this way make the frameworks and UIs progressively emphatic and intelligent. A human-PC connection framework for an automatic face recognition or outward appearance recognition has pulled in expanding consideration from specialists in psychology, software engineering, etymology, neuroscience, and related orders. People have consistently had the intrinsic capacity to recognize faces and recognize expressions. Our challenge is to make a computer to do the same. In other words, to make a computer behave and understand like a human. Sounds interesting right. This opens huge amounts of utilizations. Facial Expression detection and Recognition can be utilized to improve access and security like the most recent Apple iPhone does, enable instalments to be handled without physical cards — iPhone does this as well! empower criminal identification and permit personalized healthcare and different administrations. Facial expressions detection and recognition is a vigorously explored point and there are huge amounts of assets on the web. We have attempted different open source activities to locate the ones that are least difficult to actualize while being precise.
Prediction of Rainfall Characteristics Based on Fuzzy Expert System
Authors:   P.G. & Research Department of Mathematics, Poombuhar College (Autonomous), Melaiyur, Nagapattinam, Tamil Nadu, India., Devi* U. Ramya , Uma K. ,   P.G. & Research Department of Mathematics, Poombuhar College (Autonomous), Melaiyur, Nagapattinam, Tamil Nadu, India.
Published: February 2020

Rainfall prediction is one of the most extremely important and trickiest job in the modern world because, Rain is the lifeblood of human survival, of life on our planet. Gorgeous beauty of fuzzy logic was described by various author for prediction in various field. In this work, fuzzy logic is applied in proposing a model to predict rainfall percentage with parameters. Fuzzy Expert System inputs(parameter) include the temperature, humidity, wind speed , Dew point etc., with Output as rainfall Percentage .Here we develop a new model as RPFES Model to predict rainfall percentage for particular geographical location of Tamil Nadu. There are four steps for developing RPFES Model : The first step is Fuzzification process by triangular membership function for representing the input variables and output variables. The next step is Fuzzy Inference with Fuzzy Rules the method applied in this research work are Root Sum Square (RSS). The Root Sum Square of drawing inference was employed to infer the data from the fuzzy rules developed and finally we move to Defuzzification process for getting Rainfall percentage by individually. From RPFES Model, Individual Person get the Rainfall Prediction as Percentage with purely by Fuzzy Logic and not by Metrological Center. Weather Prediction is the major essential and challenging operational responsibilities which are carried out by meteorological services all over the world.