Showing papers by "SDM College of Engineering and Technology published in 2020"

Real-time water quality monitoring through Internet of Things and ANOVA-based analysis: a case study on river Krishna

Abstract: In this paper, an attempt has been made to develop a statistical model based on Internet of Things (IoT) for water quality analysis of river Krishna using different water quality parameters such as pH, conductivity, dissolved oxygen, temperature, biochemical oxygen demand, total dissolved solids and conductivity. These parameters are very important to assess the water quality of the river. The water quality data were collected from six stations of river Krishna in the state of Karnataka. River Krishna is the fourth largest river in India with approximately 1400 km of length and flows from its origin toward Bay of Bengal. In our study, we have considered only stretch of river Krishna flowing in state of Karnataka, i.e., length of about 483 km. In recent years, the mineral-rich river basin is subjected to rapid industrialization, thus polluting the river basin. The river water is bound to get polluted from various pollutants such as the urban waste water, agricultural waste and industrial waste, thus making it unusable for anthropogenic activities. The traditional manual technique that is under use is a very slow process. It requires staff to collect the water samples from the site and take them to the laboratory and then perform the analysis on various water parameters which is costly and time-consuming process. The timely information about water quality is thus unavailable to the people in the river basin area. This creates a perfect opportunity for swift real-time water quality check through analysis of water samples collected from the river Krishna. IoT is one of the ways with which real-time monitoring of water quality of river Krishna can be done in quick time. In this paper, we have emphasized on IoT-based water quality monitoring by applying the statistical analysis for the data collected from the river Krishna. One-way analysis of variance (ANOVA) and two-way ANOVA were applied for the data collected, and found that one-way ANOVA was more effective in carrying out water quality analysis. The hypotheses that are drawn using ANOVA were used for water quality analysis. Further, these analyses can be used to train the IoT system so that it can take the decision whenever there is abnormal change in the reading of any of the water quality parameters.

A Hybrid Approach for Plant Leaf Disease Detection and Classification Using Digital Image Processing Methods

Abstract: Detection of plant leaf disease has been considered an interesting research field which is helpful to improve the crop and fruit yield. Computer vision and machine learning based approaches have ga...

Microwave-assisted green synthesis, characterization and adsorption studies on metal oxide nanoparticles synthesized using Ficus Benghalensis plant leaf extracts

Abstract: Environmentally friendly synthesis of metal oxide nanoparticles is a worthwhile contribution to the science and technology field. The conversion of metal salts into metal oxides using plant extract has attracted considerable attention from researchers due to the simplicity of the process. Special attention has been provided to the green synthesis of metal oxide nanoparticles using easily available plants with an eco-friendly system compared to other conventional methods. The advantages of green synthesis are minimizing the by-product and thus eliminating contaminants and using imperishable and lower-risk components. The biological diversity of plant extracts, for instance, as well as the accessibility to numerous phytochemicals in various parts of the plants is an important aspect in considering plants for integrating nanoparticles. An attempt has been made to synthesize metal oxides such as Fe3O4, CeO2 and ZnO using Ficus benghalensis plant leaf extract. The structure and morphology of the as-prepared metal oxide samples were studied using powder X-ray diffraction and scanning electron microscopy techniques. Fourier transform infrared spectroscopy study was undertaken to study the bonding in the metal oxide samples. Moreover, morphology and particles size of the above samples was studied by using transmission electron microscopy. Energy-dispersive X-ray analysis study was undertaken to know the formation of metal oxides. Furthermore, the adsorption study of heavy metal ions (Pb2+, Hg2+) on metal oxides was performed to know the adsorbent nature of metal oxides.

Development and experimental evaluation of titanium diboride particulate reinforcements on the Al6061 alloy composites properties

Abstract: In recent times, industries are focusing to develop newer materials with superior properties compared to the materials available at present. In this regard, the present investigation is aimed at th...

Optimized placement of multiple FACTS devices using PSO and CSA algorithms

Abstract: This paper is an attempt to develop a multi-facts device placementin deregulated power system using optimization algorithms. The deregulated power system is the recent need in the power distribution as it has many independent sellers and buyers of electricity. The problem of deregulation is the quality of the power distribution as many sellers are involved. The placement of FACTS devices provides the solution for the above problem. There are researches available for multiple FACTS devices. The optimization algorithms like Particle Swarm Optimization (PSO) and Cuckoo Search Algorithm (CSA) are implemented to place the multiple FACTS devices in a power system. MATLAB based implementation is carried out for applying Optimal Power Flow (OPF) with variation in the bus power and the line reactance parameters. The cost function is used as the objective function. The cost reduction of FACTS as well as generation by placement of different compensators like, Static Var Compensator (SVC), Thyristor Controlled Series Compensator (TCSC) and Unified Power Flow Controller (UPFC). The cost calculation is done on the 3-seller scenario. The IEEE 14 bus is taken here as 3-seller system.

Comparative study of various biofuel combinations derived from agricultural residues on the performance and emissions of CI engine

Abstract: In this present work, performance and emission levels have been investigated using renewable and sustainable fuels derived from different agricultural residues. For the same injected pilot ...

Low-Resource End-to-end Sanskrit TTS using Tacotron2, WaveGlow and Transfer Learning

Abstract: End-to-end text-to-speech (TTS) systems have been developed for European languages like English and Spanish with state-of-the-art speech quality, prosody, and naturalness. However, development of end-to-end TTS for Indian languages is lagging behind in terms of quality. The challenges involved in such a task are: 1) scarcity of quality training data; 2) low efficiency during training and inference; 3) slow convergence in the case of large vocabulary size. In our work reported in this paper, we have investigated the use of fine-tuning the English-pretrained Tacotron2 model with limited Sanskrit data to synthesize natural sounding speech in Sanskrit in low resource settings. Our experiments show encouraging results, achieving an overall MOS of 3.38 from 37 evaluators with good Sanskrit spoken knowledge. This is really a very good result, considering the fact that the speech data we have used is of duration 2.5 hours only.

Operation and performance of grid connected proton exchange membrane fuel cell with ultra capacitor

Abstract: Ever increasing energy demand lead to the power generation by using renewable Energy Sources. Fuel cells are new source of energy that converts chemical energy to electrical energy with high efficiency, low noise and negligible emission. Out of different types of fuel cells, proton exchange membrane fuel cell (PEMFC) is commonly used because of its advantages like low operating temperature, fast start up, zero gas emission and long cell and stack life. The proposed work focuses grid synchronized PEMFC with electrolyser and ultra-capacitor. The model is developed and simulated in the Matlab/Simulink environment. To overcome the slow thermodynamic response of the fuel cell to load variations, ultra-capacitor is connected. The DC low voltage output of the PEMFC is boosted and inverted using PWM technique to have grid interaction. The system also incorporates a PI controller to regulate the inverter output at desired level of grid voltage and grid frequency. The simulation results validate the presence of ultra-capacitor (UC) with PEMFC and demonstrate the mitigation of load transients.

Glass/epoxy fiber orientation effects on translaminar fracture toughness under Mixed mode(I/II) load using FPB specimen

Abstract: To study glass/epoxy fiber orientation effects on translaminar fracture toughness under Mixed mode(I/II) load using asymmetric Four Point Bend specimen. Fracture toughness values for different fiber-oriented glass/epoxy laminates under Mixed modes are compared with unidirectional glass/epoxy laminates. Specimens were fabricated using hand layup technique with (0/45)° and (0/90)° fiber oriented glass fiber. The experimental study was conducted for 6 crack positions varying from 0 to 1 with an increment of 0.2 for Four Point Bend specimen. The specimens were tested under universal testing machine to obtain peak loads and further evaluate fracture toughness. The experimental test results show fracture toughness can be increased by orienting the fiber in the laminate. Fracture toughness is highly dominating for (0/90)° fiber-oriented laminates compared to 0° and (0/45)° glass/epoxy laminates.

Evaluation of Natural Ventilation Potential for Indoor Thermal Comfort in a Low-Rise Building in Arid and Semi-arid Climates of India

Abstract: Natural ventilation potential (NVP) has been evaluated for two climate-specific Indian cities New Delhi and Jodhpur in terms of pressure difference Pascal hour (PDPH), under various indoor conditions. Indoor temperature, indoor heat gain, and natural ventilation rate because of both buoyancy and wind effect have been evaluated for a conceptualized low-rise building using an analytical model for NVP. Thermal comfort in these stations has been evaluated in terms of percentage of time the indoor temperature falls within the thermal comfort zone. Qualitative assessment of NVP has been carried out through the cumulative frequency curves for adequate pressure variation throughout the indoor and outdoor environment of the building. The thermal comfort assessment shows that New Delhi and Jodhpur have indoor thermal comfort for 40% of the time in a typical year. Thermal comfort is found to exist for 45–90% of the time during the months of July, August, and September, whereas least thermal comfort period of 20–40% is observed during winter months of December, January, and February and PDPH curves confirms the fact that natural ventilation alone does not provide indoor thermal comfort. To achieve thermal comfort in the building during the rest of the time, an active system or complex passive systems are required to be employed.

Implementation of Automated Bottle Filling System Using PLC

Abstract: Automatic bottle filling using programmable logic controller (PLC) constitutes a user-specified volume selection, in which the user can input the desired amount of liquid or water to be inserted in the bottles. It is generally used where many bottles of same volume are to be filled by passing bottles over the conveyor belt. PLC is a main functional block in the automation which tries to minimize the complexity and increases safety and cost reduction. Using of PLC in filling the bottles allows us to select the required amount of liquid by the ladder language. Filling is done by using motor, sensors, conveyor belt, PLC, solenoid valve, and so on. The whole system is more flexible and time saving. The process of filling is carried out for packaging of liquid and beverages. This is an interdisciplinary branch of engineering which includes mechanical, computer, and electronics parts. The process also enhances the knowledge of fabrication, programming, design, planning, and presentation skills. The PLC is gaining popularity because it is easy for troubleshooting which makes programming easier and reduces downtime.

FPGA Implementation of Optimized Karhunen–Loeve Transform for Image Processing Applications

Abstract: The various transformation techniques play vital role in the field of Digital Image Processing. In this paper, we propose FPGA implementation of optimized Karhunen–Loeve transform for image processing applications. The Data Format Conversion block is introduced to represent the input data to suitable format and are fed to the Covariance computation block to calculate corresponding covariance values with accuracy. The Optimized Square Root block has been designed in the Eigenvalue computation block to obtain eigenvalues which are in turn fed to the Eigenvector computation block to produce eigenvectors using Modified divider. Further the Karhunen–Loeve Transformed matrix of the input data is obtained by performing multiplication of eigenvectors with covariance values in the matrix multiplication block. The errors are introduced due to fixed point binary calculations and are minimized by novel Error correction block. The proposed architecture is tested on Sparan-6 (XC6SLX45-3CSG324) FPGA board. The performance of the architecture is compared with respect to hardware utilization and accuracy of various existing techniques to prove the efficiency.

Experimental investigation to evaluate total energy release rate for unidirectional glass/epoxy composite under Mixed mode-I/II load

Abstract: In this paper, the total energy release rates for unidirectional glass/epoxy composites were evaluated using Compact Tension Shear (CTS) and Four-Point Bend (FPB) Mixed mode (I/II) fracture specimens. Unidirectional glass fibre laminates were considered for the experimental work. Specimen plates of required thickness were fabricated using hand lay-up technique. The experimental study was conducted for seven loading angles varying from 0° to 90° with an increment of 15° for CTS specimen and 6 crack positions varying from 0 to 1 with an increment of 0.2 for FPB specimen. Load vs. displacement data are plotted to evaluate the peak loads for both the CTS and FPB Mixed mode (I/II) fracture specimens of various loading angles and crack positions, which are utilized to estimate the total energy release rate. It is found that the total energy release rate depends on the loading angle and crack positions for CTS and FPB Mixed mode (I/II) fracture specimens. For a particular load, the total energy release rate is highly dominating in FPB compared with the CTS fracture specimen. Hence, the FPB Mixed mode (I/II) fracture specimen can be preferred over CTS Mixed mode (I/II) fracture specimen to evaluate the total energy release rate.

Forming Limit Diagrams of Low-Carbon Steels Obtained Using Digital Image Correlation Technique and Enhanced Formability Predictions Incorporating Microstructural Developments

Abstract: In the present work, drawing quality (DQ) and interstitial-free (IF) steel sheets were subjected to limiting dome height tests for determining strain-based forming limit diagrams (FLDs) experimentally and effect of dynamic (variable) material properties, such as work hardening ‘n’ and plastic anisotropy ( $$\bar{r}$$ ), on FLDs has been studied and simulated by PAMSTAMP™ finite element software. Dot prints on the steel specimens and an efficient optical strain measurement system GOM™ which works on the digital image correlation technique principle were used to measure limiting strains accurately instead of conventional circle grid analysis technique and strain measurement by traveling microscope. The dynamic (variable) material properties (n) and ( $$\bar{r}$$ ) were estimated by studying the microstructural developments in terms of changes in grain average misorientation and crystallographic texture, respectively, at different strains and strain paths, during deformation. In our proposed work, a novel technique of incorporating dynamic (variable) material properties (n and $$\bar{r}$$ ) in FE simulations was carried out during FLDs predictions. Though marginal but improved predictions in FLDs were observed in both IF and DQ steels. In addition to strain-based FLDs, stress-based FLDs were also determined for both grades. Interestingly, in both cases it was noticed that IF steel had higher formability than DQ steel.

Written-Pole Motor – A Mini Review

Abstract: Electrical motors are used as drives in most of the industries. There is a progress in electrical motor technology in terms of design, new materials and performance characteristics based on the applications. The written pole motor is yet another alternative for certain specific applications. In this paper, an attempt is made to review the principle of operation, constructional features, operating characteristics, applications of written pole motor along with cost. The written pole motors permit flexible load available on an electric utility. It easily accelerates back to synchronism without excessive inrush current after a short power interruption even at rated load. These motors assure quality power and ride through from utility sags and surges. The motors also avoid harmonics of higher order. The discussion presented here also includes the protection to the utility consumer from reclosure and other operation for reliable utility operation. The paper highlights the potential application areas at present and future trends.

A Survey on On-Board Diagnostic in Vehicles

Abstract: As modern vehicles are advanced in technology, speed and provide luxury driving experience. Vehicle manufacturers have become more concerned about driver safety and the health of the vehicle. Diagnosing the faults in the vehicle with ease has become the priority for the vehicle owners that reduces the time and complexity of vehicle maintenance. All the modern vehicles are equipped with an OBD-II connector. The paper introduces the vehicle diagnostics using On-Board Diagnostic (OBD) tools and presents the shortcomings of OBD-I and compares OBD-I with OBD-II. OBD-II has different modes of Parameter IDs to access the data from the ECU’s in-vehicle communicating through CAN bus. The paper focuses on comparing OBD-II SAE J1850 protocols, few commonly used Diagnostic Trouble Codes (DTC) by the vehicle and how OBD uses the request and response message formats for accessing data from vehicles using various Parameter IDs (PIDs) and modes of PIDs.

Identification of normal and abnormal brain hemorrhage on magnetic resonance images

Abstract: The correct identification of brain abnormality is trivial in the treatment of a patient, and it depends on the imaging modality used for acquiring the brain image and also on the visual capabilities of the radiologist. One of the brain abnormalities is brain hemorrhage, which is caused by an artery burst causing bleeding in the surrounding area in the brain. In this proposed work, a naive based-probabilistic kernel classifier algorithm for accurate recognition of brain hemorrhage is proposed on magnetic resonance images. After preprocessing phase, a binary thresholding is applied to get region of interest and a preliminary mask is generated, which grows depending on the defective (hemorrhage) region. A modified multilevel set segmentation method is implemented for segmenting the image. At the next stage, two methods are used for textural feature extraction: minimal angular local binary pattern and gray level cooccurrence matrix. To extract effective features naive-based method is applied and then to select optimal features, optimal cuckoo search algorithm is used. A probabilistic kernel classifier algorithm is implemented for the classification of input image as normal or abnormal. The methods designed and implemented could classify and accurately detect the position of abnormality.

EERP: Energy-Efficient Routing Protocol Performance Analysis of DSR and AODV for Mobile Adhoc Network

Abstract: The multihop wireless network, especially mobile adhoc network, has gained popularity in various contexts that may include independent rescue system, connecting network at the edge in Internet and sub-network in upcoming global Internet of the cyber-physical system. The future-generation network systems will be a kind of software-defined network, where the system will have a possibility of choosing and adopting various routing protocol depending upon the context. This paper discusses the advantages of multihop wireless communication and investigates the performance behaviors of AODV and DSR with different Quality of Services parameters by proposing an enhanced energy model in the base node configuration.

Design of Compact Beam-Steering Antenna with a Novel Metasubstrate Structure

Abstract: This paper presents a compact beam-steering antenna in which both beam-steering capability and mutual coupling reduction has been achieved using a novel meta- substrate structure. This novel meta-substrate consists of a 1×2 slotted patch with a split between in which PIN diodes are incorporated and 6×1 complimentary hexagonal split ring resonator (CHSRR) etched on copper plate. It has been observed that by placing this novel meta-substrate structure above the 1×2 patch array antenna at an optimized height of 3 mm produces ±20° beam scanning with around 10 dB mutual coupling reduction and about 20% miniaturization as compared to conventional antenna. All simulations are carried out using Ansoft HFSS EM Simulator and the proposed antenna can be used for ISM band application in a wireless communication system.

Statistical Analysis of Stress Levels in Students Pursuing Professional Courses

Abstract: In this competitive era, students are undergoing a lot of stress due to societal influence, financial status, and academic environment. This is leading to many psychological disorders such as depression, anxiety, and many others. One student commit suicide every hour in India, and in most of the cases, stress and pressure are the main reasons for the deadly attempt. The high level of stress is hindering the performance of the students in the academics. It is necessary to find out the stress level of the students and guide them through different techniques that help them in reducing stress levels. There are many ways to investigate the level of stress among the students. Techniques like psychological questionnaires, physiological measures like blood pressure, salivary alpha amylase, and vagal tone can be considered for analyzing stress in students. Perceived stress scale (PSS) is one of the standard psychological questionnaire methods used to analyze stress level of an individual. It is a measure of degree to which situations in one’s life are appraised as stress. The scale includes a series of general queries about present level of stress experience. The scale is free of content specific to any subpopulation group. The PSS is used to categorize the subjects as less stressed, moderately stressed, and highly stressed. The data through responses from 486 engineering students was collected to investigate the stress level of the students. The data thus obtained is validated using the statistical tool ANOVA. ANOVA test is a way to find out if experimental results are significant. The gathered data is validated for statistically significant group and used for further analysis. The results from the analysis of PSS showed that the female students are less stressed when compared to the male students. The result can further be imbibed in an intelligent system which could detect the level of stress and suggest a method or technique to the subject so as to reduce the level of stress.

Simultaneous placement of FACTS devices using cuckoo search algorithm

Abstract: The power system deregulation requires thechange in reactive power compensation in the power system. The optimal placement of FACTs (Flexi ble AC transmission system) devices is mandatory to recalculate the reactive power compensation in deregulation case. The FACTs devices generally used in series and shunt conections. Here the various facts devices connected in series & shunt combination simultaneously. The optimal placement and sizing of the devices are done in this paper by formulating the objective function with minimization of cost of the generation and minimizing the cost of Facts devices. MALAB is used for writing the code. IEEE 14 bus system is used to here for testing the system. Placing the FACTs separately and simultaneously are studied in case study. Cuckoo search algorithm is used to identify the solution to the optimization problem.

Role of IoT and Bigdata Analytics in Healthcare for Disease Prediction

Abstract: One of the major issues to worry nowadays is the busy life cycle people follow and the effect they have on the health. This busy life cycle has made people to neglect their health. In India many people are below poverty line and even majority of population stays in rural places and cost of medical treatment is too high. Under these situations, it is not feasible for people to afford costly medical treatment. We have seen people being admitted to hospitals at the last hour and being forced to follow traditional medical practices and lose their lives. To address this issue, we need a remote health monitoring system that could alert people about their health condition and people can get medical diagnosis done remotely. In this paper, we discuss, the role played by IoT and bigdata analytics in the field of healthcare. We also discuss the benefits, challenges and applications of these technologies. We propose a system to monitor heart condition of a patient using IoT which alerts the patient or doctor if any abnormality is observed. This system could further be scaled to provide real time health monitoring to predict various diseases using bigdata and ml analytics.

Characterization and electron transport properties of polyaniline nanocomposites containing silver chloride nanoparticles embedded on the gelatin surface

Abstract: Polyaniline (PANI) encapsulating silver chloride nanoparticles embedded on the surface of gelatin nanofibers were prepared. The interaction of PANI/gelatin with AgCl and crystallinity of the compos...

Roadmap to distillery spent wash treatment and use of soft computing techniques

Abstract: Distillery industries in several regions all over the world pose a serious risk, as it generates unpleasant compounds. Under such circumstances, it seeks an effective spent wash treatment, to eliminate the contaminants. Accordingly, this paper provides a relevant review regarding the distillery spent wash treatments, associated with the proper treatments and coagulants. At first, it reviews 67 recent research papers, from which 24 papers belong to distillery spent wash treatment and remaining belongs to other treatments. Further, it extends the valuable chronological review on distillery spent wash treatment. In addition, it describes the several processes such as anaerobic treatment, aerobic treatment, nanofiltration, reverse osmosis, adsorption and electrochemical treatments, adopted to treat distillery spent wash as reported in the literature. In the same way, it analyses the usage of different types of coagulants such as natural, electro and chemical coagulants used in distillery spent wash treatment. To the next of the coagulant analysis, it checks out the performance review of entire contributions on distillery spent wash treatment. The conventional process for distillery spent wash treatment having limitations such as limited removal efficiency, high operating cost and maintenance also it needs a high detention time that eventually increases the on the whole treatment process time. The aforesaid limitation can be overcome by adopting soft computing techniques. Soft computing has been widely studied and applied in the past three decades for engineering and scientific research computing. In environmental engineering, engineers and researchers have effectively used various techniques of soft computing like fuzzy logic, artificial neural networks, adaptive neuro-fuzzy inference systems, and support vector machines which can be useful for the researchers to achieve further research on distillery spent wash treatment.

An Analytic Potential Based Velocity Saturated Drain Current, Charge and Capacitance Model for Short Channel Symmetric Double Gate MOSFETs

Abstract: This paper presents a velocity saturated and channel length modulated drain current, charge and capacitance model for a symmetric Double Gate (SDG) short channel MOSFET. The proposed drain current model partially evolves from an existing and well established analytical potential long channel DG MOSFET model and is further modified to be applicable for short channel devices. The projected model includes velocity saturation effect and short channel effects (SCEs) like channel length modulation (CLM) and threshold voltage shift. These effects are incorporated by considering pseudo-two-dimensional electrostatics at the drain end. The proposed work is derived from Pao-Sah integral without using charge sheet approximation. The drain current model captures the essential physics and signature of a modern velocity saturated short channel device and provides continuity in all regions of MOSFET operation. Solutions for charges and capacitances in the presence of velocity saturation and short channel effects are given explicitly. The results obtained in this work are as per the scale length theory applicable for a Double Gate (DG) MOSFET and hence may be used in compact modeling of nanoscale transistors.

Developing Framework of Web Scraper for Agriculture Data using Client Server Module

Abstract: Searching for relevant information becomes very difficult and sometimes we don’t find the exact information what we are actually seeking, so it results in time-consuming and repeating the same web page without knowingly. A system that will know our needs, requirements, preferences, and patterns. This will retrieve the correct information and helps in fast processing. In this work, it is proposed that the personalized search engine for information retrieval system using the client-server module for user preferred information through intelligent search and storing the searched result in a database for further accessing of information is implemented. For information retrieval, a framework known as scrappy is used for retrieving all the user needed information by specifying the URL of that data. The fetched information is stored in the database. It helps in offline browsing, full-text search in the database, and fast response and no repeating of web pages.

Engineering Comportment of Clays Motleyed with Rice Pericarp Slag (RPS)

Abstract: The waste generated today is no more a waste according to many scientific community, and this waste has been put into many different of engineering application use. For example, the construction industry has plethora of such material which have been generated as waste, and further the progress and use of manufacturing and pastoral wastes, such as fly ash, blast furnace slag, metakaolin, rice pericarp slag (RPS), and bagasse ash (BA), are rapidly receiving attention as reviewed in many literatures [1, 2, 3]. The custom of ashes by the grinding process in cement concrete generally mends the properties of concrete, and the concretes encompassing ground fly ash or RPS are of good quality with condensed porosity and improved immunity to sulphate attack and chloride infiltration [4, 5] as well as great power [6, 7, 8]. Comparing to the fly ash which is the most common pozzolan being used worldwide in soil stabilization [9], the utilization of rice pericarp slag as pozzolanic material is still comparatively low. This tabloid benevolences the upshot of RPS on index and engineering properties of expansive clay. Liquid limit (LL), plastic limit (PL), plasticity index (PI) and free swell index (FSI) and unconfined compressive strength remained determined at capricious quantities of RPS. Unconfined compressive strength of the RPS clay amalgams was determined at their respective OMC and MDD, by piloting standard proctor compaction tests. LL, PI and FSI decreased significantly with increasing RPS content.

A Novel Fuzzy Logic Based Controller for Measuring the Effectiveness of Training for Placement

Abstract: It is a well-known fact that the placements are crucial in the professional life of a graduating student. The need for high quality output from the academia necessitates the students to be equipped with the requisite skill set to be industry-ready. This paper briefs about the training sessions done at SDMCET-Dharwad, for aiding the students in campus placement drives. Also, this paper deliberates a unique approach based on fuzzy logic for measuring the effectiveness of training sessions in terms of various dimensions namely program pacing, quality of content covered and interaction with students. The fuzzy controller is built using Mamdani and Sugeno style of inference engines. The design and simulations have been done using MATLAB and Simulink softwares.

A Mobile Object Based Energy Efficient Protocol for Master Node Based Wireless Sensor Networks

Abstract: We are in the era of Information technology, where voluminous information flows in the network. This information has many data sources. These data sources are resource constrained devices. In this context, mobile object plays a crucial role for data collection in Wireless Sensor Networks (WSNs). Therefore, the key challenge is to collect the sensor data from the sensors' field in an energy efficient manner. This paper proposes an algorithmic technique to control the direction of data transmission that initiates from sensor node. Thus it eliminates the need for sophisticated antenna required for setting the direction of the data transmission. The key idea of the proposed method is to control flooding. The simulation results show that the proposed mechanism enhances the network lifetime.