bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and analysis of MEMS based capacitive pressure sensor for the detection of colon cancer
Authors: Shameem Syed , Prasad G.R.K. , Kalyan G. , Sri varun H. , Srinivas Babu P.S.
Published: March 2018

Emerging sciences have brought tremendous changes in the electronic world. One such revolutionary technology is MEMS. MEMS extend their implementation into many sectors like mechanical sensors, micro fluids, medical implants, bio-MEMS. In this paper, we discuss the design of a Micro Bio-sensor which senses the capacitance fluctuations materialized in it by various reactions of antigen and antibody. It is a cantilever based structure which is coated with a drug that is responsive to Carcino Embryonic Antigen (CEA), which is considered to be a first level indicator of colon cancer present in human body. The presence of this disease causing element in the blood initiates the antibody-antigen interactions which induces changes in the electrical parameters of the sensor device. These changes are utilized to determine the severity level of pathogens present in the patient’s blood.
Designing a waveform using LFM, NLFM for MIMO radar
Authors: Krishnam Naidu Yedla G S , Siva Sankar Prasad D. , Raghavendra Rao P. , Siva Kumar M , VenuGopala Rao M
Published: March 2018

We propose a waveform that includes Linear frequency modulation and non linear frequency modulation wave applicable for MIMO radar. The wave form consists of three segments where the boundary segment consists of LFM content and the middle segment consists of NLFM. The time frequency component in the middle segment is controlled. The range and Doppler side lobe suppression is improved. The genetic algorithm is implemented to suppress the side lobes in the auto correlation and cross correlation functions. The performance is analysed by using ambiguity function.
Implementation of FPGA based MRPMA for high performance applications
Authors: Sankara Phani T. Siva , Sujatha M. , Hari Kishore K. , Durga Prakash M.
Published: March 2018

In the last few decay, Network on Chip’s (NoC) are the powerful chips for high speed communications pertaining to 802.11 Ethernet protocol which is a need to be reconfigurable for successful data frame transmission. The existing architectures like coarse grained reconfigurable, ALU cluster and expression grain reconfigurable architecture and look-up-table used in fine grained reconfigurable devices requires a lot of storage memory, hardware resources such as slices, cell area and cell delay. To tackle these issues, Multigrained Reconfiguration and Parallel Mapping Architecture (MRPMA) is proposed and their performance analysis parameters are calculated. The MRPMA uses the four contributions to optimize Processing Elements (PE’s) operations: 1) Fast Fourier Transformation (FFT) to perform fixed point numbers to the configuration words, 2) Discrete Cosine Transformation (DCT) to analyze the data in the frequency domain, 3) Finite Impulse Response (FIR) for parallel mapping the data and 4) Channel encoder and decoder to encode the data and to calculate the shortest route from source to destination switch.
Comparative study on satellite-based data communication techniques
Authors: Sujithra T. , Nivedhitha G. , Durai S. , Suresh A.
Published: March 2018

Satellite communication is highly useful in collecting data from human unattended area, early warning of natural disasters, earth observation and so on. Numerous work has been carried out in the area of satellite based communication and networking. It is an inseparable component from the Global Network infrastructure. In this study, we recapitulate, compare and comments on proposed approaches for the satellite based communication with keeping in view the parameters such as efficient data transfer between the satellite and the ground station, various on-board data processing techniques, prioritizing the payload data, load balancing and optimizing energy consumption issues.
Multibiometric authentication with MATLAB simulation
Authors: Selvarani P , Malarvizhi N
Published: March 2018

Multimodal Biometric Authentication has been used as more security purpose for establishing the user Identification, Authentication and Verification purpose. Multimodal Biometric like Fingerprint and iris are used in this research work for authentication purpose using Matlab simulation. Fingerprint recognition process like Image Enhancement, binarization, Segmentation, thinning, Minutia marking, and Matching are performed with various techniques like Histogram Equalization, Adaptive Binarization, Morphological operations, Minutiae based techniques etc.,Iris recognition process like Segmentation, Normalization, Encoding and Matching are performed with various techniques like Canny edge detection, Daughman’s Rubber sheet model, Hamming Distance etc., can be applied for Fingerprint and iris recognition for authentication purpose. Finally Performance the measure of Precision, Recall, F-Score and Accuracy has evaluated in both fingerprint and iris. It can be concluded Iris Accuracy is higher 0.96% compared with fingerprint accuracy 0.81%.
Detection of novel attacks by anomaly intrusion detection system using classifiers
Authors: Abhinaya P. M. , Nivethitha V.
Published: March 2018

Nowadays analyzing unsuspicious network traffic has become a necessity to protect organizations from intruders. Really it is a big challenge to accurately identify threats due to the high volume of network traffic. In the existing system, to detect whether network traffic is normal or abnormal we need lots of information about the network. When lot of information is involved in the identification process the relationship between different attributes and the important attributes consider for classification plays an important role in the accuracy. Information gain selection process is used to provide a rank for features. Based on the rank, the most contributed features in the network is found and used to improve the detection rate based on the features selection. In this project, the performance of Lazy and Bayesian classifiers is analysed. In lazy classifier comes there are some algorithms namely, IBK and Kstar. Bayesian classifier comes there are some algorithms namely, Bayes Net, and Naïve Bayes. The performances of Bayesian and lazy classifiers are analysed by applying various performance metrics to identify the best classifier. It is observed that, the efficiency of lazy classifier is better as compared to that of Bayesian classifier.
Frequent item set mining using normalized FP-growth algorithm
Authors: K. Manikandan N , Manivannan D
Published: March 2018

As the volume of data and its storage schemes are increasing drastically, the knowledge discovery from these huge volume of heterogeneous and high dimension data emerges as an essential process. Number of algorithms for data association analysis has been introduced considering time and main memory requirements. However this algorithms get completed when the items and records grows extremely high. In this paper we have created a data structure that can be reused without modifying the schema. So the aim of this work is to make an efficient association rule mining independent of the algorithm being selected.Our data structure make data access much faster by simplifying and reorganizing them by implementing shuffling strategy using hamming distance and inverted index mapping. In this work we explore our algorithm’s efficiency by using many datasets containing millions of records in it. We increased the runtime orders of the magnitude and reduced the auxiliary and main memory requirements.
Combinatorics based problem specific software architecture formulation using multi-objective genetic algorithm
Authors: Nivethitha V , M Abhinaya P
Published: March 2018

In Software Development Process, the design of complex systems is an important phase where software architects have to deal with abstract artefacts, procedures and ideas to discover the most suitable underlying architecture. Due to uncontrolled modifications of the design and frequent change of requirements, many of the working systems do not have a proper architecture. Most of the approaches recover the architectural blocks at the end of the development process which are not appropriate to the system considered. In order to structure these systems software components compositions and interactions should be properly adjusted which is a tedious work. Search-based Software Engineering (SBSE) is an emerging area which can support the decision making process of formulating the software architecture from initial analysis models. Thus component-based architectures is articulated as a multiple optimisation problem using evolutionary algorithms. Totally different metrics is applied looking on the design needs and also the specific domain. Thus during this analysis work, an effort has been created to propose a multi objective evolutionary approach for the invention of the underlying software system architectures beside a versatile encoding structure, correct style metrics for the fitness operate to enhance the standard and accuracy of the software system design.
Predicting implicit search behaviors usinglog analysis
Authors: LeemaPriyadharshini L , Florence S , Prema K , Shyamala Kumari C
Published: March 2018

Search engines provide ranked information based on the query given by the user. Understanding user search behavior is an important task for satisfaction of the users with the needed information. Understanding user search behaviors and recommending more information or more sites to the user is an emerging task. The work is based on the queries given by the user, the amount of time the user spending on the particular page, the number of clicks done by the user particular URL. These details will be available in the dataset of web search log. The web search log is nothing but the log which contains the user searching activities and other details like machine ID, browser ID, timestamp, query given by the user, URL accessed etc., four things considered as the important: 1) Extraction of tasks from the sequence of queries given by the user 2) suggesting some similar query to the user 3) ranking URLs based on the implicit user behaviors 4) increasing web page utilities based on the implicit behaviors. For increasing the web page utility and ranking the URLs predicting implicit user behavior is a needed task. For each of these four things designing and implementation of some algorithms and techniques are needed to increase the efficiency and effectiveness.
Satellite image classification and quality parame-ters using ML classifier
Authors: Radhika K. , Varadarajan S.
Published: March 2018

Remote sensing images are an important source of information regarding the Earth surface. For many applications like geology, urban planning, forest and land cover/land use, the underlying information from such images is needed. Extraction of this information is usually achieved through a classification process which is one of the most powerful tools in digital image processing. Good classifier is required to extract the information in satellite images. Latest methods used for classification of pixels in multispectral satellite images are supervised classifiers such as Support Vector Machines (SVM), k-Nearest Number (K-NN) and Maximum Likelihood (ML) classifier. SVM may be one-class SVM or multi-class SVM. K-NN is simple technique in high-dimensional feature space. In ML classifier, classification is based on the maximum likelihood of the pixel. The performance metrics for these classifiers are calculated and compared. Totally 200 points have been considered for validation purpose.
Realistic acoustic sensor network deployment and radio coverage in terrain profile using 3d modeling
Authors: Sharma Gajendra , Kumar Manish , Verma Shekhar
Published: March 2018

Acoustic sensing can be done by deploying a wireless sensor network in the area of interest. To detect anthrophonic events such as, deforestation along with monitoring the vehicle movement on the muddy road for smuggling intension. In the present time, anthrophonic event classification on the basis of wireless acoustic sensor node remain unanswered. This work explores speedy improvement in wireless acoustic sensor node that classify acoustic event applications. Wireless acoustic sensor node deployment strategy in outside surroundings is proposed. Most of the studies on sensor network in term of deployment consider on flat surfaces. The deployment of wireless sensor network in unequal surface like a forest was rarely reported. The aim is to maximize the quality of coverage of a wireless sensor on a forest surface. A probabilistic sensing model and line of sight algorithm are utilized for this purpose.
Fuzzy LPCM controlled buck integrated PFC convert-er for Class-C&D appliances
Authors: Subbarao Mopidevi , SaiBabu Ch. , Satyanarayana S.
Published: March 2018

This propounded a novel method of design and implementation of a fuzzy linear peak current mode (LPCM) controlled Buck Integrated Power Factor Correction (PFC) Converter. It derives its advantages through low buck capacitor voltage and single control switch, which leads to reduced complex control and price. Sub-harmonic oscillations generates in peak current controller can be nullified by using ramp signal, there by improves the overall performance of the converter. The fuzzy controller (FLC) robust and effective than conventional linear controllers like P, PI, PID, hence in this work a (90 – 265V), 50Hz AC, 48V DC and 100 kHz frequency converter is implemented in MATLAB/Simulink software and results are verified experimentally. Results show that converter meets international regularity commission regulations.
Mobile treatment for epileptic seizures using little scale electronic sensors
Authors: Devi Majety Vasumathi , Murali G
Published: March 2018

Epilepsy-Abnormal behaviors (neuro disorder) of a patient.The epileptic seizure patient need an ongoing frame work. It must support in acute cases. The brilliant epilepsy recognition and ready framework is a propelled innovation by which an electronic device is introduced. Utilizing that pack, the life of the individual who is truly affecting with the condition can be anticipated. As per World Health Organization (WHO), epilepsy is a standout amongst the most well-known essential sicknesses of the focal sensory system around the world [1], which is exasperated by the sudden variable that portrays the event of an epileptic occasion. In this manner, the capacity to recognize scene preceding its beginning is introduced as a relief variable to the upsetting effects that emerge from this situation [2]. The casing will be tolerable, confirms the condition and also alerts by a SMS to the the specialist in question for the life of the patient. To realize all the above plan, mainly utilized four modules: scaled down scale controller, KEIL module, ARDUINO module and GSM module.
An under sampled k-means approach for handlingimbalanced data using diversified distribution
Authors: Shobana G , Prakash Battula Bhanu
Published: March 2018

Some true applications uncover troubles in taking in classifiers from imbalanced information. Albeit a few techniques for enhancing classifiers have been presented, the distinguishing proof of conditions for the effective utilization of the specific strategy is as yet an open research issue. It is likewise worth to think about the idea of imbalanced information, qualities of the minority class dissemination and their impact on arrangement execution. In any case, current investigations on imbalanced information trouble factors have been predominantly finished with manufactured datasets and their decisions are not effortlessly material to this present reality issues, likewise on the grounds that the techniques for their distinguishing proof are not adequately created. In this paper, we recommended a novel approach Under Sampling Utilizing Diversified Distribution (USDD) for explaining the issues of class lopsidedness in genuine datasets by thinking about the systems of recognizable pieces of proof and expulsion of marginal, uncommon and anomalies sub groups utilizing k-implies. USDD utilizes exceptional procedure for recognizable proof of these kinds of cases, which depends on breaking down a class dissemination in a nearby neighborhood of the considered case utilizing k-closest approach. The exploratory outcomes recommend that the proposed USDD approach performs superior to the looked at approach as far as AUC, accuracy, review and f-measure.
A novel order reduction procedure for linear time invarient interval systems using SGO algorithm
Authors: Anand N Vijaya , Kumar M Siva , Rao R Srinivasa
Published: March 2018

In this paper, the authors presented a new algorithm for the reduction of high order linear time interval systems. In the proposed method, the Reduced Order Interval Model (ROIM) denominator and numerator polynomials are determined based on minimization ofobjective function comprising of Integral Squared Error r using Social Group Optimization (SGO). The SGO technique is found to be simple, easy in implementation and provides the optimal solution. Applicability and effectiveness of the proposed method are illustrated through a DC motor speed control system and a typical Seventh order system taken from the literature.
Determination of liquefaction potential for two selected sites in Kerbala city- middle of Iraq
Authors: Abdullah Hamed , Fattah Mohammed , Abed Abdulkareem
Published: March 2018

Geotechnical characterization of the sites has been investigated with the collection of borehole data from different sources. Using the data, grain size distribution curves have been developed to understand the particle size distribution of the alluvium present. These curves were further used for preliminary assessment of liquefiable areas. From geotechnical characterization, it has been observed that the soil profile in the two sites is dominated by sand and silty sand.Seed and Idriss (1971) approachhas been usedevaluatethe liquefaction potentialbydeterminationof the relation between the maximum ground acceleration (a max/g) valuesdue to an earthquake and the relative density of a sand deposit in the field. The results reveal that the study area will be subjected to occurrence of liquefaction under an earthquake of maximum ground acceleration of 0.1 g when the soil is loose with a relative density between (25-40) % in Kerbala city.Design chartswere obtained for determination of liquefaction potentialin any layer with knowingthe field relative densityand the value of the maximum ground surface acceleration.
Opportunities vis-à-vis threat to thermal genera-tion due to rising renewable energy penetration
Authors: Tiwari Shubham , Dwivedi Bharti , Dave M.P
Published: March 2018

An effort has been made to access what happens to prevailing thermal generation plants if the generation from renewable energy resources is increased above 20% of total generation. A test case has been taken where generation system comprising of ten thermal generating units is in conjunction with a 500 MW Wind Energy generation plant, and a 500 MW Solar Energy generation plant. It has been found that on one hand the cost of generation gets significantly reduced whereas, on the other hand few thermal generators are compelled to remain with no generation at all. The study reveals the peak load shaving and the economy achieved in overall generation system versus the threat to individual thermal generating plant due to inclusion of nearly 23% generation from renewable resources.
Performance analysis of super capacitor integrated PV fed multistage converter with SMC controlled VSI for varying nonlinear load conditions
Authors: Pandey Shruti , Dwivedi Bharti , Tripathi Anurag
Published: March 2018

This work comprises of an MPPT (maximum power point tracking) controlled Photovoltaic (PV) source, in combination with a superca-pacitor, cascaded with a Sliding Mode Controlled (SMC) Inverter, which supplies varying nonlinear loads. The varying solar irradiation effects and its intermittency have been successfully managed by the boost converter controlled by MPPT and supercapacitor controlled by bidirectional converter. The bidirectional converter step down and step up the terminal voltage and provides the power flow in a bidirectional manner. The proposed model helps in obtaining the seamless action under changing irradiation and for varying load conditions. The performance of the SMC controlled Inverter, when compared with a PI controlled Inverter, has been found to be superior in terms of power quality and robustness of the supply system.
Comparative study on dimensionality reduction for disease diagnosis using fuzzy classifier
Authors: Sujatha R. , Ephzibah E.P. , Dharinya Sree , Uma Maheswari G. , Mareeswari V. , Pamidimarri Vamsi
Published: March 2018

Machine learning is the worldwide recent research technique for various systems as they are intelligent enough to find the solution for classification and prediction problems. The proposed work is about a hybrid genetic fuzzy algorithm that performs an optimal search as well as classification upon uncertain data. The data which is uncertain is suitable for fuzzy classifiers to predict the disease. The hybrid genetic fuzzy system applied on the attributes selects relevant attributes. The selected attributes are fed into the fuzzy classifier. The fuzzy rules are again generated using genetic algorithms. This algorithm is applied on three of the important and bench marking data sets taken from the UCI machine learning repository. The heart disease, Wisconsin breast cancer and Pima Indian diabetes datasets produce classification accuracy as 89.65%, 99.5% and 88.93% respectively. In this article there is a comparative study on few of the feature selection and feature reduction techniques.
Advanced theory of vibration of uniform beams
Authors: Shulemovich Alexander
Published: March 2018

In classical theory the equation of a dynamic Euler – Lagrange beam is solved by using the composition of the displacements into the sum of harmonic vibrations to obtain the ordinary differential equation. The solution of this equation with prescribed set of boundary conditions is a typical Sturm – Liouville problem with the infinite, discrete eigenvalues and modes of vibration. The purpose of this paper is to reveal that an elastic beam is a limited continuum with limited domain of physically existing, continuous eigenvalues and modes of vibration. In contrast to the classical theory, the advanced theory of free vibration of beams without damping in present investigation is based on the analysis with transversal and angular stiffness, initiated by external transient excitations and inherited by beams in compliance with energy conservation law. The output of this investigation demonstrates the fundamental distinction between the dynamic characteristics of uniformed beams established by classical theory with infinite, discrete eigenvalues and derived characteristics of beams with continuous eigenvalues and modes of vibration in limited domains. The theoretical investigation shows that only few, natural, discrete eigenvalues and normal modes of vibration physically exist in limited domains.Nomenclature: k4 = ω2a−2, a2 = E I g (A γ) −1, E − modulus of elasticity, g − gravitational acceleration, A − area of the beam’s cross - section, γ − specific gravity of the beam’s material, ω = 2πf, f − frequency of vibration per second, angular frequency p = a (kl)2/l2, I – length of beam. I − moment of inertia of area.
Compact UWB microstrip antenna with quadruple band-notched characteristics for short distance wireless tele-communication applications
Authors: Rayavaram Kalyan , Reddy K.T.V , Kesari Padma Priya
Published: March 2018

In this paper, the design and simulation of a compact ultra-wide band (UWB) microstrip antenna with quadruple band-notched characteristics for short-distance wireless telecommunication applications were explored. The design process of the antenna is carried on FR4 substrate with dielectric constant 4.4, loss tangent 0.02, thickness of 0. 8mm and the size of the proposed antenna are 30×20 mm2. The rectangular monopole antenna endures a rectangular radiating patch with chamfered bevel slots on the top side, and a defective ground planed on the bottom side of the substrate. To realize single, dual, triple and quadruple band notch characteristics, slot-1 is created on the patch to achieve first notch at 3.5 GHz, which eliminates WIMAX signal, slot-2 is created on the patch to achieve second notch at 4.6 GHz, which eliminates INSAT signal, slot-3 is created on the patch to achieve third notch at 5.5 GHz, which eliminates WLAN signal and also fourth notch is created at 9.5GHz which eliminates X-band frequency with slot-1 outer length. The proposed antenna is well miniaturized and can be easily integrated with any compact devices. The simulated result shows that proposed antenna gain a good range of UWB from (2.6 GHz to 13.4 GHz).
Securing cluster based routing against cooperative black hole attack in mobile ad hoc network
Authors: Selvam Raman Pandi , K Shankar , M Ilayaraja
Published: March 2018

Mobile ad hoc networks (MANETs) are wireless infrastructure-less network consisting collection of autonomous nodes that communicate with each other in decentralized manner. Security remains major challenge due to its some unique characteristics like open medium, mobility and hence topology changes. Therefore, routing protocol for MANETs is much vulnerable to attacks. Black Hole is a type of attack, where malicious node falsely advertises itself having the shortest or optimal path to the destination node. This attack is more dangerous while a group of nodes are cooperating with each other.The objective of this paper is to design cluster based routing protocol and prevent it from the black hole attack. The simulation results show improvement in packet delivery ratio and control overhead.
Optimal key based homomorphic encryption for color image security aid of ant lion optimization algorithm
Authors: K Shankar , S.K Lakshmanaprabu
Published: March 2018

The security of digital images is a basic and difficult task on the shared communication channel. Different strategies are utilized to secure the digital image, for example, encryption, steganography and watermarking. These are the techniques for the security of digital image to accomplish security objectives, i.e. secrecy, trustworthiness, and accessibility. In the proposed study, Homomorphic Encryption (HE) with optimal key selection for image security is utilized. Here the histogram equalization is introduced for altering image intensities to improve contrast. The histogram of an image generally speaks to the comparative frequency of occurrence of the different gray levels in the image. To increase the security level inspired Ant Lion Optimization (ALO) is considered, where the fitness function as max entropy the best-encrypted image is characterized as the image with most astounding entropy among adjacent pixels. Analyzing the outcomes from the performed experimental outcomes can accomplish abnormal state and great strength of proposed model compared with other encryption strategies.
Analysis and assessment of various cryptographic techniques based on a variety of features
Authors: Rajan R , G. Murugaboopathi Dr , C.Parthasarathy Dr
Published: March 2018

Cloud computing process is an IT service invented for providing efficient network, software, hardware, storage, software systems and resource services. Cloud computing delivers service to the customers through a network. The IT and the management services involved in it is taken care by third parties that owns the physical infrastructure involved in the service. Cloud service provides us the ease to access information at any place, any time with minimum cost involved and high reliability, scalability and resilience. Because of these advantages many organizations are converting themselves to cloud. With growing demand it is necessary to consider the confidentiality of information and also secure it from unauthorized users, denial of services, modification, etc. Securing the storage and computation process in cloud is essential to avoid the above threats. Security protocol in cloud is enhanced through cryptographic algorithms to eliminate the various security threats in our work.
Application of DCOR-QFD model for improving the process performance and quality of the product
Authors: S. SivadasAniyan T , R. Pramod V
Published: March 2018

In this case study, DCOR - QFD model has been experimented as a product development process in the forging industry to assess the business process performance of the company, improving the heat treatment process and machining process. The present business process performance characteristics values were calculated using DCOR-1 model. The revised processes for improving the heat treatment process and machining process were identified. In this research, the performance of the integrated DCOR-QFD model was not evaluated in this research. The business process performance of the company using DCOR-1 model and the revised processes for improving the present processes were identified using QFD were calculated separately.
Hilbert space filling curve using scilab
Authors: T.V Sushma , M Roopa
Published: March 2018

Space filling curve is used widely for linear mapping of multi-dimensional space. This provides a new line of thinking for various applications in image processing, Image compression being the most widely used. The paper highlights the locality preserving property of Hilbert Space filling curve which is essential in numerous applications such asin image compression, numerical analysis of a large aray of data, parallel processing and so on. A simplistic approach forusingHilbert Space filling curve using Scilab code has been presented.
Experimental investigation of emission characteristics of diesel gasoline mixture containing n-butanol
Authors: S Gopalakrishnan , A Srinivaas
Published: March 2018

Emissions have become an important parameter, playing an extensive role in the selection of engines. To find out the alternatives for petroleum based fuels owing to their continuous depletion and the increase in emission rates, research works are being carried out continuously. The prime objective of this work is to study the effects butanol additive to the diesel-gasoline mixture fuelled to a CI engine. The operation is carried out by mixing butanol with diesel-4% gasoline mixture at different proportions and the mixtures are used to run a single cylinder APEX 240PE kirloskar make engine at constant speed under a series of load conditions. The performance characteristics of the fuel mixture used is obtained and the concentration of emissions present in the exhaust has been determined using an Emission Analyzer. The mixture can be used as an alternative fuel in diesel engines, thereby producing reduced emission rates.
A hybrid approach for hot spot prediction and deep representation of hematological protein – drug interactions
Authors: Nair B.J Bipin , Joy Lijo
Published: March 2018

In our research work we will collect the data of drugs as well as protein regarding hematic diseases, then applying feature extraction as well as classification, predict hot spot and non-hot spot then we are predicting the hot region using prediction algorithm. Parallelly from the hematological drug we are extracting the feature using molecular finger print then classifying using a classifier and applying deep learning concept to reduce the dimensionality then finally using machine learning algorithm predicting which drug will interact with the help of a hybrid approach.
Facial emotion detection technology: concept, marketing applications, business drivers and challenges
Authors: Sujata Joshi , Madhavi Damle , Vishal Kumar
Published: March 2018

The manuscript should contain an abstract. The abstract should be self-contained and citation-free and should not exceed 200 words. The abstract should state the purpose, approach, results and conclusions of the work.The author should assume that the reader has some knowledge of the subject but has not read the paper. Thus, the abstract should be intelligible and complete in it-self (no numerical references); it should not cite figures, tables, or sections of the paper. The abstract should be written using third person instead of first person.
Mobile ad hoc network integrated wireless networks: a survey
Authors: S.SivaNageswara Rao Dr , Aruna Orchu , K.Lakshminadh Dr
Published: March 2018

Now a day, every one using mobile devices for communicating with others. The development of new technologies, like Internet of Things (IoT) needs coverage, connectivity, scalability and QoS. In ubiquity networks, the major issues are coverage, connectivity, scalability and QoS. To solve these limitations, integrating wireless networks with ad hoc networks. This paper provides detail survey on how ad hoc networks are integrated with Cellular Network, Wireless Mesh Networks and Wireless Sensor Networks. This integration may resolve the problems of coverage, connectivity, scalability and QoS.
Experimental and numerical investigations on the thermal performance of hemp such a bio-sourced insulation material: application to a Moroccan Mediterranean climate
Authors: Dlimi Maryam , Iken Omar , Agounoun Rachid , Zoubir Amine , Sbai Khalid
Published: March 2018

Thermal performance of hemp concrete and hemp wool such as ecological insulation was evaluated for the city of Meknes in Morocco, in comparison with polystyrene which is an organic insulation material. The study was done in three sections. First, a thermo-physical properties characterization was done using the EI700 device. Then, the study was done on a concrete wall subjected to periodic outdoor conditions. The three insulation materials are used and the effects of thickness, location and partitioning on the time lag and decrement factor were investigated. Finally, heating and cooling loads of a whole building with the use of six different walls configurations are calculated using TRNSYS software. Throughout the whole study, results show that hemp wool presented the best thermal performance, and the evaluation of its use such us an insulation material in Morocco and especially in Meknes was investigated.
Investigating possibilities for using sea shell on compressive strength properties of concrete
Authors: Kumar Kiran , Anil Vineetha , Hamed Sara , Malik Ruwa
Published: March 2018

The reason of this attempt was to demonstrate that seashells can be utilized as a partial replacement for fine aggregate in concrete for enhancing strength properties. Since seashells are widely available everywhere in coastal and seashore areas, and some of the concrete materials cannot be found easily everywhere.  The strategies utilized as a part of this attempt was to replace burnt and crushed seashells with fine aggregate at 10%, 20% and 30% and compare it with each other and the traditional Ordinary Portland Cement concrete regarding mechanical properties following 7 and 28 days. In conclusion, despite the fact that seashells are generally accessible and can be effortlessly gathered from seashore and beach front regions, the process of burning and crushing requires a lot of energy and is tedious. In spite of the fact that the results demonstrated that utilizing 20% seashell to fine aggregate substitution has a somewhat higher in compressive and flexural properties than that of Ordinary Portland Cement concrete.
An internet of things for water utility monitoring and control
Authors: Madala Kranthi , Divya Bharathi D , Chowdary Polavarapu Sushma
Published: March 2018

The aim of thepaper is to advise more efficient water monitoring and control approach to reduce the water loss. This may assist users, operatorsto improve water control systems, by using the emerging technology. Net of factors is one of the essential strategies for making consumption of water assets more efficient and for developing extra utilityproperstructures. Now–a–days the water monitoring and control is dealing with a few issues. As an example the manipulate structures usedby using waterdistributionutilities ought to function over a hugevicinity. Massive water utilities go through transit losses due to leaks and burstpipes. An IoT answer for water tracking and control ambitions at being capable of gather more than one device, analyzing these recordsand dispatching themand consequences from processing to diverse programs or to other devices.
Estimation of the soil erodibility factor of a peri-urban catchment by group method of data handling and enhanced particle swarm optimization method
Authors: Kant Chander , Majumder Mrinmoy , Kumar Tyagi Dharmendra , Prabhat Singh Ashish
Published: March 2018

Soil erosion has become a major deterrent in any watershed management program. The erodibility of the soil from the river banks has degraded watersheds all over the world. That is why in any watershed development programmers’ erodibility of soil becomes a significant design parameter. However, there is lack of efficient simulation model for estimation of soil erosion. The existing models are location sensitive and mostly empirical nature in the present investigation, the authors tried to estimate the soil erodibility factor of the USLE method with the help of Enhanced PSO. The data for development of model is generated by Normalized Design of Experiment method which assumes that maximum and minimum value can be represented by I and O respectively. The same model was developed with the help of GMDH also. As per the model matrices of GMDH model shows better reliability. The selected model was applied to predict soil erodibility factor for 21 no’s of location in west Tripura region. From the prediction and comparison with the actual data it was found that the selected models have an accuracy of 99.8% in predicted model and 89.8% in case study.
Secure and Energy Efficient Routing in Wireless Multi-hop Clustered Networks Based on RSSI
Authors: Gupta Jatin , Kathuria Anchal , Sengupta Jyotsna
Published: March 2018

Today is an era of technology and computing. This technological revolution has created a need for anything and everything to be connected to each other in order to achieve a better communication and utilisation of resources. An isolated computer becomes an information island and may not be able to achieve the optimum use of power and resources. To connect computer systems, there are two options available: one is the installation of LAN (local area networking) cables which may be cumbersome at first but it ensures security and the other one is wireless media. Wireless networking, apart from being simple and efficient, poses serious challenges of security breach by rogue nodes and compromise in performance due to dynamic nature of mobile nodes. Extensive research has been carried out so far and several algorithms and protocols have been formulated to incorporate the location and energy aware characteristics for routing. The technique proposed in this paper considers various factors like energy, distance, vulnerability and battery power while propagating the packet information between the nodes in a sensor networks implementing the heterogeneity in terms of nodes. The ultimate aim is to enhance the longevity of the sensor network while ensuring the security of the network. This is achieved by considering RSSI (Received Signal Strength Indicator) factor in accord with other factors in a multi-hop routing. Extensive simulation results and analysis demonstrate that the proposed technique outperforms other security mechanisms and protocols in the literature in terms of energy awareness, security and routing efficiency.
Investigating the impact of it adoption on innovative performance in small and medium software manufacturing
Authors: Ajmi Falih Mohanaed , Noori Fejer Hamzah
Published: March 2018

The purpose of this study was to investigate the effect of IT adoption on the innovative performance in small and medium software manufacturing companies. This research is an applied and correlational study. The statistical population in this study was 920 employees of small and medium software manufacturing companies and sampling method was simple random sampling method that the sample size for this study was 270 people using Morgan table. In this research, two researcher-made questionnaires were used to collect information. To measure reliability, the Cronbach Alpha Measurement Instrument has been used. About the information technology questionnaire is equal to 0.78 and for the innovative performance questionnaire is equal to 0.78 and since these values are larger than 0.7 which demonstrates the high reliability of the questionnaires. The validity of the questionnaires was verified by the professors. Statistical research methods include structural equations using AMOS software and the results of the research showed that adoption of IT technology has an impact on the innovative performance in small and medium software manufacturing companies in.
Diagnosis of internal combustion engine based on mechanical noise
Authors: S. Kapitonov Sergei , Y. Grigorovich Sergei , A. Medvedev Sergei , I. Kurbakov Ivan
Published: March 2018

The work of sensors is investigated in the article when they are used to detect malfunctions of automobile engines by the method of analyzing noise spectrum. The method of diagnostics of internal combustion engines for noise and vibration has been developed. This method allows to determine the fault at an early stage in a short period of time (the diagnostic process takes 5-10 minutes). The proposed solution allows to reduce the degree of influence of the human factor. Such an approach to diagnostics makes it possible to determine a huge number of faults due to the use of modern computer technologies. There is no need to dismantle the unit to determine a malfunction, which also contributes to a significant reduction in overall repair time. The model of the hardware part of the complex is based on the developed method for diagnosing engine malfunctions by noise and vibration. Technologies of National Instruments were used to create the layout. The program part is developed in the visual programming environment LabVIEW. The investigation of different types of noise sensors for use in the measuring complex was carried out using the developed hardware and software. Three types of noise sensors were investigated. The conclusion can be drawn based on the results of the study, that a piezoelectric pickup is better suited for diagnosing or analyzing noise. The analysis of the most frequently encountered car faults was carried out with the aim of forming real engine operating modes and testing the model.
Arsenic behavior in the autoclave-hydrometallurgical processing of refractory sulfide gold-platinum-bearing products
Authors: V. Petrov G , B. Fokina S , Y. Boduen A , E. Zotova I , F. Fidarov B
Published: March 2018

Among various types of gold-bearing ores a special place belongs to the ores, which contain gold finely-dispersed in sulphide minerals, mostly in arseno-pyrite and pyrite. Autoclave-hydrometallurgical processing technologies for such raw materials seem to be of a particular interest for study. However, autoclave oxidation of sulfide-arsenic material results in significant amounts of technological solutions with high concentrations of arsenic, iron and sulfuric acid.This article represents the studies of how arsenic behaves in autoclave oxidative leaching of a refractory sulphide gold-platinum-bearing concentrate. We studied how the composition of arsenic-bearing solutions in autoclave leaching (acidity, concentration of iron and arsenic) influences the depth of arsenic precipitation when neutralized with calcium-containing reagents, which allows converting the maximum amount of arsenic together with iron in the form of iron arsenate into a stable long-term storable precipitation.
Investigation into an efficient numerical modelling approach for estimating path-loss over variable terrain
Authors: Hussain Nazabat , Iqbal Asif , Jeoti Varun
Published: March 2018

Different studies have been conducted for radio wave propagation in troposphere using different numerical modelling approaches. The most reliable approach is based on parabolic wave equation (PWE). The modelling of PWE is approached using different numerical schemes that include Split-step Fourier Transform Method (SSFM), Finite Element/Difference method and Wavelet based numerical method. The conventional Finite Element/Difference method are less accurate and/or computationally more expensive. While in comparison, split-step wavelet method (SSWM) is highly accurate and computationally very efficient. The SSWM has been previously used for modelling of PWE with smooth terrain. However, the real conditions are completely different as they contain variable terrain. The irregularities in surface of terrain have considerable influence because of reflection and diffraction on radio-wave propagation. In order to develop an effective communication system, a model that properly incorporates the reflection parameters from the variable terrain. In this research work, the SSWM is proposed for modelling of PWE for radio wave propagation over variable terrain. In SSWM, compactly supported wavelet of Daubechies 6 are used as bases. Obtained results accurately accounts the reflection from rough terrain surface and shows good agreement with SSFM.
Unstructured Peer-to-Peer Systems: Towards Swift Routing
Authors: Ed-daoui Ilyas , El Hami Abdelkhalak , Itmi Mhamed , Hmina Nabil , Mazri Tomader
Published: March 2018

In this paper, we contribute to the enhancement of routing in unstructured Peer-to-Peer (P2P) systems. Our contribution aims to propose an alternative to the repetitive interactions between peers in discovery which waste considerable time. We propose a methodology that seeks effectiveness and swiftness. Contrary to classic and heuristic-based routing strategies, the main goal of our proposition is that every peer prepares a database at the integration phase. The database includes information about peers, locations, routes to every destination, etc. Every peer possesses its own database and is able to update it whenever a change occurs in the system. Changes refer to the integration of new peers and the dissociation of existing ones. Theoretically, the communication between peers will become significantly quicker since every peer knows enough information about the other peers forming the system. The application of our strategy demonstrates its fitness to the proposed system model in addition to its celerity and relevance.
Technology analysis of artificial intelligence using Bayesian inference for neural networks
Authors: Jun Sunghae
Published: March 2018

At present, artificial intelligence (AI) technology is receiving much attention and applied in each field of society. AI is one of the key technologies to lead the fourth industrial revolution along with the internet of things and big data. Therefore, many companies and research institutes are trying to systematically analyze AI technology in order to understand the AI itself correctly. In this paper, we also study on a method to analyze AI technology based on quantitative approach. We correct the patent documents related to AI technology, and analyze them using statistical modelling. We use Bayesian inference for neural networks to build our proposed method. To verify the validity of our research, we carry out a case study using the AI patent documents.