bluuebunny/crossref_metadata_2025 huggingface dataset:
Validity Testing of a Simplistic Design Version of a Kinematic Arm for Postural Measurement of Human Body Segments (May 2017)
Authors: Datir Vinod , Lahari B. N. , Kale Vijay
Published: July 2017

In all engineering industries complaints about back pain and low back injuries are very high. Major factor for such back injuries are associated with Load handling tasks. In industries type of such lifting activities in percentage is to extend 77% and bending activity up to 56%.According to US department of labour report back injuries account to be 20% of all injuries and 25% of annual worker compensation goes for such injuries. So one of the important areas of Kinematic And kinetic measurements are useful is load lifting. Different methods have been evolved for carrying out Kinematic measurements, selection depend upon type of study, type of kinematic parameter to obtained merits and demerits of the methods and cost of study. Need of alternative methods which satisfy the study requirements and also compensate the cost leads to a development of "Kinematic Arm” In one of study made by Belli et al(1992) Developed Kinematic arm for three dimensional recording of human movements. They Validate and tested successfully the device. Error values for static quasi-static human motions are less than tracking system and film or video analysis ,Also device is five times cheaper than above two well known methods. Based on the guidelines of study by Belli et al a Kinematic arm has been designed and fabricated for validation testing of positional measurements of human body segments subject to different postures during load lifting. The Kinematic arm consists of four light rigid pipe linked together by three joints. One end of arm is connected to fixed reference point while other end can move freely in the three spatial directions. the free movement is allowed in all spatial directions by orientation of the axes of the three revolute joints. At each joint a potentiometer (multi turn 50 Kilo-ohm) is mounted and connected to an electronic interface to measure the angle between two link elements involved. Three potentiometers are connected in series and fed a constant current from the circuit. Output from potentiometer is amplified and measured and calibrated in terms of angles. Angles a1(t),a2(t),a3(t).measured and by appropriate trigonometric equations can calculate instantaneous position. Equation for velocity and acceleration have been established in order to evaluate the exact performance of kinematic arm for positional measurements Kinematic arm is tested for the static and quasi-static conditions for different body postures successfully. Results obtained are within the range of theoretical estimation of errors.
Study of Effect of Various Process Parameters on the Performance of Chimney Operated Solar Power Plant
Authors: Bansod P.J. , Thakre S.B. , Wankhade N.A.
Published: July 2017

Conventional energy sources like coal and oil used for power generation causes various environmental problems like creating pollution and creating ecological imbalance. These sources are also depleting due to lesser use of alternative resources. Chimney operated solar power plant is one of the best alternative which can be used to produce power in large capacity with the use of solar energy. It consist of very few number of parts like turbine, collector and chimney. This paper consist of study of effect of different process parameters on the performance this chimney operated solar power plant. A small prototype model of this power plant is fabricated which has collector of 1.8 m diameter and chimney of maximum height of 2.0 m. D.C motor with small generator and blades is used as turbine to get power output. The various process parameters like temperature, pressure, velocity are used to determine power output and efficiency of power plant. Numerous mathematical correlations were used to correlate these input and output parameters. The effect of chimney height on these parameters was studied. It was determined that temperature and velocity are the important parameters which improves the performance of solar chimney power plant along with chimney height and collector diameter.
Evaluation of Cohesive Soil Mixed With Fly Ash and Reinforced With Nylon Fibre
Authors: Gawande Utkarsh , Kanhake Shubham , Lahane Arjun , Naghbhide Prasanna
Published: July 2017

Black cotton soil is a expansive soil. And mostly found in Vidarbha region of Maharashtra, this soil is highly unstable and it should be stabilize for carry out construction work. Materials like fly ash, rise husk, nylon fiber are used to make soil stable. Addition of such material will increase the physical, chemical and engineering properties of soil. Some of the properties which are improved are CBR value, shear strength, liquidity index, plasticity index, unconfined compressive strength (UCS) and bearing capacity, etc. The main objective of this study was to evaluate the effect of fly ash in stabilization of Black cotton soil. Mainly UCS and other properties of soil were calculated. The tests were conducted on Soil-Fly Ash mixtures, by increasing the Fly Ash percentage in Black cotton soil like 25%, 50%, 75%, and 100%, and then the soil was tested on Soil-Fly Ash - Fibre mixture by adding the fiber in increasing order like 0.5%, 1%, 1.5%. Results were obtained for mixed proportion of 75% soil and 25% fly ash which has unconfined compressive strength of 173 KN/m2. And by adding 1% of nylon fiber in same proportion of soil – fly ash the unconfined compressive strength increased to 243.12 KN/m2. Increase in UCS value can help in reducing the thickness of earthen roads and pavements and increase the bearing capacity and shear strength of soil. With analysis of results it was found that the fly ash along with nylon fiber has good potential to be used as an additive for improving engineering properties of expansive soil.
Computer Aided Design and Analysis of Tapping Tool with Diametrical flexibility
Authors: Bahale Satish , Shende Amit
Published: July 2017

Tapping operation which refers to production of internal threads forms an integral part of any machine shop and it is intended to provide semi permanent fastening to the components of product so as to lend themselves for repairs and replacements. Though various methods of internal threading are available such as internal threading by milling, grinding or forming but internal threading by metal cutting which employs a tapping tool is indeed the mostly used for products where accuracy forms the base of evaluation. Last few decades have seen the growth of automobile industries and has resulted in development of its allied operations of which tapping is one of the crucial operation performed. The conventional tapping operation which surely involves rotating the tool and feeding past the pre drilled hole to create the contours called as internal threads and this is followed by withdrawal of tapping tool by reversing it with aid of rotational energy. The present paper attempts to design and analyze a tapping tool which will have no requirement of reversing of tool at the end of cutting operation which is essentially done by changing the design of conventional solid tap. The solid tapping tool is divided into two parts along the longitudinal axis and a mechanism is prompted to give the two parts actuation which would shrink at the end of cutting operation to be dragged out of hole without damaging the machined surface and providing the diametrical flexibility to engulf other diameters to be machined. This tapping tool with diametrical flexibility is designed in CAD tool named as CATIA V5 and efficiently analyzed by using FEA technique which is the working phenomenon for ANSYS.
Energy Environment Interaction Analysis in Thermal Power Plant: A Case Study of TPP with Energy Audit Approach in Indian Scenario
Authors: Onkar Anil , Dhomane Gunwant , Moharil Ravindra
Published: July 2017

Engineering based on basic principle of combustion process ,associated thermodynamics,& basic engineering principles involved in optimization of heat rate and in-house auxiliary consumption as energy input (i.e. coal consumption & in-house auxiliary consumption).Strong theme behind this paper is actual implementation of academic knowledge with practical working experience in thermal power plant .whole paper is associated with reduction of coal, electrical energy input spent on in-house auxiliaries which ultimately reduces greenhouse emission & helps to maintain environment by upgrading knowledge & working experience of Engineer working with TPP.
Recurrence of Hallux Valgus Can Be Predicted from Immediate Postoperative Non-Weight-Bearing Radiographs
Authors: Park Chul Hyun , Lee Woo-Chun
Published: July 2017

Background:

The aims of this study were to identify risk factors for the recurrence of hallux valgus deformity and to clarify whether recurrence after surgery to treat hallux valgus can be predicted using radiographic parameters assessed on immediate postoperative non-weight-bearing radiographs.

Methods:

A proximal chevron osteotomy combined with a distal soft-tissue procedure was performed by a single surgeon to treat moderate to severe hallux valgus deformity in 93 patients (117 feet). The feet were grouped according to nonrecurrence or recurrence. Changes in the hallux valgus angle, the intermetatarsal angle, and sesamoid position over time were analyzed by comparing values measured during each postoperative period. The relative risks of recurrence as indicated by preoperative and postoperative radiographic parameters were determined.

Results:

Twenty (17.1%) of the 117 feet showed hallux valgus recurrence at the time of the last follow-up. The hallux valgus angle and the intermetatarsal angle stabilized at 6 months after surgery in the nonrecurrence group. An immediate postoperative hallux valgus angle of ≥8°, an immediate postoperative sesamoid position of grade 4 or greater, a preoperative metatarsus adductus angle of ≥23°, and a preoperative hallux valgus angle of ≥40° were significantly associated with recurrence.

Conclusions:

Recurrence of hallux valgus after a proximal chevron osteotomy can be reliably predicted from immediate postoperative non-weight-bearing radiographs.

Level of Evidence:

Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
Treatment of Displaced Midshaft Clavicle Fractures: Figure-of-Eight Harness Versus Anterior Plate Osteosynthesis
Authors: Tamaoki Marcel Jun Sugawara , Matsunaga Fabio Teruo , Costa Adelmo Rezende Ferreira da , Netto Nicola Archetti , Matsumoto Marcelo Hide , Belloti Joao Carlos
Published: July 2017

Background:

Most midshaft clavicle fractures affect the economically active population, which is negatively impacted by transient limb impairment during the treatment. There is still debate about the advantages and disadvantages of surgical treatment for these fractures.

Methods:

In this prospective randomized controlled trial, 117 patients were allocated to 1 of 2 groups: nonsurgical treatment with a figure-of-eight harness or surgical treatment with anteroinferior plate osteosynthesis. The primary outcome was upper-limb limitation measured with the Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire at 6 months. Other outcomes included pain, radiographic findings, satisfaction with the cosmetic result, complications, and time to return to previous work and activities. Participants were assessed at 6 weeks, 6 months, and 1 year after the intervention.

Results:

No difference between the 2 groups was detected in the DASH score at any time point (p = 0.398, 0.403, and 0.877 at 6 weeks, 6 months, and 1 year, respectively), pain levels measured with a visual analogue scale (VAS), time to return to previous activities, or dissatisfaction with the cosmetic result. Seven patients (14.9%) developed nonunion after nonsurgical treatment, a nonunion rate that was significantly higher than that in the surgical group, in which all fractures had healed (p = 0.004). The patients in the nonsurgical group had radiographic evidence of greater clavicle shortening (p < 0.001) and more of the patients in that group answered “yes” when asked if their clavicle felt short (p < 0.001) and if they felt bone prominence (p < 0.001). More patients answered “yes” when asked if they felt paresthesia in the surgical group (7; 13.7%) than in the nonsurgical group (1; 2.1%) (p = 0.036).

Conclusions:

This study did not demonstrate a difference in limb function between patients who underwent surgical treatment and those nonsurgically treated for a dislocated midshaft clavicle fracture. Meanwhile, surgical treatment decreased the likelihood of nonunion.

Level of Evidence:

Therapeutic Level I. See Instructions for Authors for a complete description of levels of evidence.
Inadvertent Harvest of the Median Nerve Instead of the Palmaris Longus Tendon
Authors: Leslie Bruce M. , Osterman A. Lee , Wolfe Scott W.
Published: July 2017

Background:

The palmaris longus tendon is frequently used as a tendon graft or ligament replacement. In rare instances the median nerve has been inadvertently harvested instead of the palmaris longus for use as a tendon.

Methods:

Nineteen cases in which the median nerve had been mistakenly harvested instead of the palmaris longus tendon were collected from members of the American Society for Surgery of the Hand (ASSH) Listserve. Surgeons involved in the subsequent care of the subject who had had an inadvertent harvest were contacted or the chart was reviewed. The reason for the initial procedure, the skill level of the primary surgeon, and when the inadvertent harvest was recognized were documented. When possible, the method of harvest and subsequent treatment were also documented.

Results:

The most common initial procedure was a reconstruction of the elbow ulnar collateral ligament, followed by basal joint arthroplasty, tendon reconstruction, and reconstruction of the ulnar collateral ligament of the thumb metacarpophalangeal joint. Only 7 of the inadvertent harvests were recognized intraoperatively; in the remaining 12 cases the nerve was used as a tendon graft. The sensory loss was not recognized as being due to the inadvertent harvest until the first postoperative visit (2 subjects), 3 to 4 weeks (2 subjects), 2 to 3 months (2 subjects), 5 to 7 months (2 subjects), 1 year (1 subject), 3 years (1 subject), or 10 years (1 subject). Preoperative clinical identification of the presence or absence of a palmaris longus did not necessarily prevent an inadvertent harvest.

Conclusions:

Knowledge of the relevant anatomy is crucial to avoiding inadvertent harvest of the median nerve instead of the palmaris longus tendon.
Palabras del Decano
Authors: Díaz Bazán Ricardo
Published: July 2017

Con el mismo entusiasmo, igual dedicación y mayor entrega por las publicaciones anteriores, presentamos una nueva edición de LEX, la revista de nuestra Facultad.Como en números anteriores –esta es la novena–, los artículos publicados son el resultado de la colaboración eficaz de nuestros profesores, de los estudiantes y también de la presencia de un selecto grupo de personalidades foráneas.
Palabras del Rector
Authors: Ramírez Prado Fidel
Published: July 2017

No presenta resumen
Editorial
Authors: Díaz Bazán Ricardo
Published: July 2017

No presenta resumen
Normas Editoriales
Authors: . .
Published: July 2017

.
miR-149 as a Potential Molecular Target for Cancer
Authors: Ow Suet H. , Chua Pei J. , Bay Boon H.
Published: July 2017

Background:

MicroRNAs (miRNAs) are frequently dysregulated in cancers and
serve as attractive targets for prognostication and therapeutic applications. Besides cancer, the
biological functions of miR-149 have been studied in various diseases. This review aims to
summarize the reports available in the literature, regarding miR-149 as a molecular target for
cancer therapeutics.

Methods:

An extensive literature search was conducted using the Pubmed database to sieve
out articles related to the roles of miR-149 in carcinogenesis and cancer progression, and
potential miRNA-based therapies. A total of 89 publications were selected for inclusion in
this review.

Results:

Depending on the cancer type, miR-149 can behave either as a tumor suppressor or
as an ‘onco-miR' that promotes tumorigenesis and cancer spread, suggesting that this miRNA
has diverse functions. Potential miRNA-based therapies include the use of miRNA mimics,
miRNA inhibitors, demethylating agents and circular RNAs.

Conclusion:

Although targeting miRNA is an attractive anti-cancer strategy, not all cancers
can be treated by the same miRNA-based strategy. A comprehensive understanding of
miRNA regulatory mechanism is also necessary to improve the design of miRNA-based
therapeutics and there is a need for safe and efficient delivery methods when using this approach
for anti-cancer treatment.
Effects of Bonded Tyres on Leachate Recirculation of Bioreactor Landfills
Authors: Zhang Huijie , Heng Jie , Jeng Dongsheng , Xu Haixia
Published: July 2017

Introduction:

In bioreactor landfills, leachate recirculation significantly influences the process of stabilization and the stability of slope.

Method:

To speed up the leachate recirculation and reduce its adverse impact on slope stability, this paper proposes a new method which constructs a spatial net consisted of bonded whole tyres in the municipal waste during landfilling.

Results and Conclusion:

In this study, a numerical two-permeability flow model was used to investigate the effects of tyres embedding on the outflow rate of leachate injection. Furthermore, it was coupled with momentum balance equations to determine the local factor of safety of slope stability. The established model was applied to a simplified bioreactor landfill. The simulation results demonstrated that the tyre net can accelerate the rate of leachate injection and contribute to distribute the liquid more uniformly. Meanwhile, the slope stability was improved due to the enforcement of waste in the presence of tyres.
UNMANNED IMAGE NARRATION
Authors: Vp Sangavi , Saleena B
Published: July 2017

Image analysis and understanding is used in various fields such as satellite imaging, robotic technologies, medical imaging, defense[G1]  etc. Image analysis is the process which involves extraction of meaningful information from images.Image annotation is the process of adding metadata to the image. The meaningful information is extracted based on the metadata available with the image. This research aims at understanding the input image and describing it to the user. The input image is segmented. The segments are annotated based on its properties like color, shapes in it. The segment annotations are collected and processed to get the overall meaning of the image. This research would improve image search, inform the user about the image even if the image is not displayed due to compatibility issues, and it is unmanned - no human assistance required to understand and display the image contents. [G2] [G3]
PROSODY PREDICTION FOR TAMIL TEXT-TO-SPEECH SYNTHESIZER USING SENTIMENT ANALYSIS
Authors: Rajendran Vaibhavi , Kumar G Bharadwaja
Published: July 2017

A speech synthesizer which sounds similar to a human voice is preferred over a robotic voice, and hence to increase the naturalness of a speech synthesizer an efficacious prosody model is imperative. Hence, this paper is focused on developing a prosody prediction model using sentiment analysis for a Tamil speech synthesizer. Two variations of prosody prediction models using SentiWordNet are experimented: one without a stemmer and the other with a stemmer. The prosody prediction model with a stemmer performs much more efficiently than the one without a stemmer as it tackles the highly agglutinative and inflectional words in Tamil language in a better way and is exemplified clearly, in this paper. The performance of the prosody prediction model with a stemmer has a higher classification accuracy of 77% on the test set in comparison to the 57% accuracy by the prosody model without a stemmer.
A SURVEY ON MACHINE LEARNING APPROACH TO MAINFRAME ANALYSIS
Authors: P Priyanka , K Deivanai
Published: July 2017

Mainframe system processing includes a “Batch Cycle” that approximately spans in regular interval on a daily basis. The core part of the cycle completes in the middle of the regular interval with key client deliverables associated with the end times of certain jobs are tracked by service delivery. There are single and multi-client batch streams, a QA stream which includes all clients, and about huge batch jobs per day that execute. Despite a sophisticated job scheduling software and automated system workload management, operator intervention is required. The outcome of our proposed work is to bring out the high priority job first. According to our method, the jobs are re-prioritized the schedules so that prioritized jobs can get theavailable system resources. Furthermore, the characterization, analysis, and visualization of the reasons for a manual change in the schedule are to be considered. This work requires extensive data preprocessing and building machine learning models for the causal relationship between various system variables and the time of manual changes.
DESIGN OF HIGH PERFORMANCE MULTIPLIERLESS LINEAR PHASE FINITE IMPULSE RESPONSE FILTERS
Authors: Aparna A , Vigneswaran T
Published: July 2017

This research work proposes the finite impulse response (FIR) filters design using distributed arithmetic architecture optimized for field programmable gate array. To implement computationally efficient, low power, high-speed FIR filter a two-dimensional fully pipelined structure is used. The FIR filter is dynamically reconfigured to realize low pass and high pass filter by changing the filter coefficients. The FIR filter is most fundamental components in digital signal processing for high-speed application. The aim of this research work is to design multiplier-less FIR filter for the requirements of low power and high speed various embedded applications.
DATA COMPRESSION TECHNIQUE FOR CLOUD STORAGE IN MULTI-USER ENVIRONMENTS
Authors: T Manindra , V Pradeep K
Published: July 2017

In many associations, the cloud storages contain a copy (duplicates) of information. For example, the same file would be spared in various locations by different users; too many documents that are not differentiable may in any case duplication a great part of the same data. This consumes lots of memory in cloud storage. Deduplication is a kind of technique used to eliminate duplicate entries on cloud storage. It helps us to remove the duplicate entries of these additional duplicates, by maintaining only one duplicate of the information and giving ownership rights to the alternate duplicates with pointers that lead back to the first duplicate. Organizations much of the time utilizes this technique in cloud storage for many applications, yet it can be effectively utilized to free up space in vital situations also. To allow an end-user to have the ownership of the file if the file is already existing and should terminate the uploading process to the cloud storage server
EVENTR - DESIGN OF AN EVENT MANAGEMENT MOBILE APPLICATION USING ONTOLOGY
Authors: Kanna B Rajesh , Viswanathan V , Aj George Ebbinason
Published: July 2017

An event is a special occasion that occurs when few or more people gather together to fulfill their personal, cultural or organizational objectives. With many events happening every day, few handy tools are available to help an event organizer to initiate, track and propagate an event. Often important data such as contacts, mails are saved by the organizer in some apps like Excel, calendar, mobile contacts, and mailbox, but not easily retrieved when needed for a follow-up event. Some of the information belongs to common events are not been grouped categorically, so it could not be suitable to relate the similar actions with respect to events which are associated to each other. Follow-up events usually use almost similar data from the previous season, but every time the organizer ends up spending more time searching for the previous records and sometimes fail to retrieve. Event based apps are available in the mobile environment very few in number, and especially such follow-up concentrated event tracker application is not available. Hence, Eventr is designed to fulfill this purpose. Eventr will solve this issue by initiating event, automating simple tasks, record critical data till the event day, this information are stored in the form of Eventr ontology. Since it is ontology based event representation, it would make possible to identify the intermediate tasks of a particular event and to retrieve the tasks associated with the event to the event organizer for the next season.
INTERNET OF THING BASED CAR PARKING SYSTEM
Authors: Chouhan Sunil , P Sandhya
Published: July 2017

In the current era, we are facing a new problem of parking of vehicles. It is a major problem in urban cities. The problem is more tough because of continues growing number of vehicle and also size of vehicles. Car parking is not just a major problem in India but also in all over the world. We know that one million vehicles burn oil every day. In this paper, we propose an automatic and real-time system for automated car parking. This system would be implemented by the use of internet of things (IOTs). IOT refers as any physical thing that is connected to internet or exchanging information or data between internet and physical device. Arduino Uno is a microcontroller used in IOT. It is used for building digital devices, and interactive objects that can sense and control physical devices. Our smart parking will be implementing using Arduino Uno board for car parking and Ethernet shield to connect parking area with web or internet. By using our automated parking system, a user can save much time for searching free parking space. An infrared sensor has to be employed in each slot to check that a particular plot is vacant or not. Searching smart parking system helps people to search parking space accessible with the ease of IOT automation by supplying parking slot free information. The user can book in advance the parking slot and update the information to the server. Every user has a unique id and password. In case a car in stolen and enter the parking IOT the server checks the database and inform the police.
LOW BITRATE HYBRID SECURED IMAGE COMPRESSION FOR WIRELESS IMAGE SENSOR NETWORK
Authors: Suseela G , Y Asnathvicty Phamila
Published: July 2017

Wireless image sensor networks are capable of sensing, processing and transmitting the visual data along with the scalar data and have attainedwide attention in sensitive applications such as visual surveillance, habitat monitoring, and ubiquitous computing. The sensor nodes in the network are resource constrained in nature. Since the image data are huge always high computational cost and energy budget are levied on the sensor nodes. The compression standards JPEG and JPEG 2000 are not feasible as they involve complex computations. To stretch out the life span of these nodes,it is required to have low complex and low bitrate image compression techniques exclusively designed for this platform. The complicated scenarioof wireless sensor network in processing and transmitting image data has been addressed by a low complex hybrid secured image compression technique using discrete wavelet transform and Bin discrete cosine transformation.
COGNITIVE, AFFECTIVE AND CONATIVE MODEL FOR ANALYSING HIGHER EDUCATION STUDENTSq
Authors: Manickavasag Priyaadharshini , Surwade Swati S
Published: July 2017

Many models are used in recent years to analyze behavior of the students in the higher education. Analyzing the learning style and student performance in academic studies are very essential to enhance their performance. This research work is focused on analyzing the learners behavior using three dimensions, i.e., cognitive, affective, and conative model. In this paper, we used Moodle learning management system which is a learning platform to create a personalized learning environment and to track learning abilities using activities. This model will be helpful to study the cognitive, conative, and emotions of students.
PET ANIMALS’ BEHAVIOR ANALYSIS: A REVIEW
Authors: N Arthi , A Annis Fathima
Published: July 2017

Nowadays, socializing of humans with pet animals has increased. The pet animals are treated as a part of the family and the physical interaction hasalso improved owing to the fact that the infected animals are not easily identifiable at an early stage and children are more prone to get infected. Thisleads to the necessity for monitoring and analyzing the behavior of the pet animals. The current trend is moving toward smart homes as the camerasare getting cheaper and easily available. The vision-based approach is one of the solutions to identify the behavioral changes of the pet animals. In thispaper, the study on behavioral analysis of dogs and cats as pet animals is reviewed.
RECONFIGURABLE FPGA BASED SOFT-CORE PROCESSOR FOR SIMD APPLICATIONS
Authors: R Maheswari , V Pattabiraman , P Sharmila
Published: July 2017

Objective: The prospective need of SIMD (Single Instruction and Multiple Data) applications like video and image processing in single system requires greater flexibility in computation to deliver high quality real time data. This paper performs an analysis of FPGA (Field Programmable Gate Array) based high performance Reconfigurable OpenRISC1200 (ROR) soft-core processor for SIMD.Methods: The ROR1200 ensures performance improvement by data level parallelism executing SIMD instruction simultaneously in HPRC (High Performance Reconfigurable Computing) at reduced resource utilization through RRF (Reconfigurable Register File) with multiple core functionalities. This work aims at analyzing the functionality of the reconfigurable architecture, by illustrating the implementation of two different image processing operations such as image convolution and image quality improvement. The MAC (Multiply-Accumulate) unit of ROR1200 used to perform image convolution and execution unit with HPRC is used for image quality improvement.Result: With parallel execution in multi-core, the proposed processor improves image quality by doubling the frame rate up-to 60 fps (frames per second) with peak power consumption of 400mWatt. Thus the processor gives a significant computational cost of 12ms with a refresh rate of 60Hz and 1.29ns of MAC critical path delay.Conclusion:This FPGA based processor becomes a feasible solution for portable embedded SIMD based applications which need high performance at reduced power consumptions
BIG DATA MINING FOR INTERESTING PATTERNS WITH MAP REDUCE TECHNIQUE
Authors: Jamdar Nikhil , Vijayalakshmi A
Published: July 2017

There are many algorithms available in data mining to search interesting patterns from transactional databases of precise data. Frequent pattern mining is a technique to find the frequently occurred items in data mining. Most of the techniques used to find all the interesting patterns from a collection of precise data, where items occurred in each transaction are certainly known to the system. As well as in many real-time applications, users are interested in a tiny portion of large frequent patterns. So the proposed user constrained mining approach, will help to find frequent patterns in which user is interested. This approach will efficiently find user interested frequent patterns by applying user constraints on the collections of uncertain data. The user can specify their own interest in the form of constraints and uses the Map Reduce model to find uncertain frequent pattern that satisfy the user-specified constraints
MODELLING THERMAL SHOCK BASED CRACKING BEHAVIOUR OF ARMOUR MATERIAL FOR FUSION REACTOR
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

Abstract -This study presents a computational model for studying the mechanical effects of thermal shock over armour material used for fusion reactor. The simulation study comprises of transient thermal shocks over the bulk substance for a period of 1ms. Latter on the cracking behaviour is predicted by extending the virtual crack growth for screening out the efficacy of the used material and its composition.
DEVELOPMENT OF CYBER-PHYSICAL SYSTEM FOR LASER-BASED CONTROLLED CLOUD SEEDING
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

This research encompasses of developing a cyber-physical system (CPS) i.e., a system which can control the physical process of cloud formation by utilizing the LIDAR technology to modulate its frequency while directed on aerosol cloud in order to control the movement of cloud, formation and precipitation in a test bed settings. This will enable studying the detailed effects of laser induced cloud nucleation and also in modeling the cloud behavior with respect to the feedback loop between induced affect through lasers upon the aerosol cloud. This involves utilization of advanced algorithms, image processing techniques to model cloud behavior and artificial intelligence to control the laser frequency modulation and pulse count, directed or incidence angle to understand the response between laser effects on aerosol cloud.
COMPRESSED TRANSMISSION OF DEPTH MAPS IN 3D STREAM SERVICES FOR ROBOTICS & SURVEILLANCE
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

Building high end processing hardware for depth mapping in mobile robotics is a major drawback. The problem could be addressed by processing thescene through one end and then streaming it to the other robotic mobile platforms or actuators to perform physical operations; thereby renderingglobal depth map for all the arbitrary viewpoints of the robots. In this study, we present the algorithm for compressed transmission of depth mapsover a network and provide a synthetic viewpoint with low geometric distortions.
MICROTUBULE BASED NEURO-FUZZY NESTED FRAMEWORK FOR SECURITY OF CYBER PHYSICAL SYSTEM
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

Network and system security of cyber physical system is of vital significance in the present information correspondence environment. Hackers and network intruders can make numerous fruitful endeavors to bring crashing of the networks and web services by unapproved interruption. Computing systems connected to the Internet are stood up to with a plenty of security threats, running from exemplary computer worms to impart drive by downloads and bot networks. In the most recent years these threats have achieved another nature of automation and sophistication, rendering most defenses inadequate. Ordinary security measures that depend on the manual investigation of security incidents and attack advancement intrinsically neglect to give an assurance from these threats. As an outcome, computer systems regularly stay unprotected over longer time frames. This study presents a network intrusion detection based on machine learning as a perfect match for this issue, as learning strategies give the capacity to naturally dissect data and backing early detection of threats. The results from the study have created practical results so far and there is eminent wariness in the community about learning based defenses. Machine learning based Intrusion Detection and Network Security Systems are one of these solutions. It dissects and predicts the practices of clients, and after that these practices will be viewed as an attack or a typical conduct.
MODELING OF LIGHT ILLUMINATION FIELD ON MICRO-EXPRESSION FOR FACE RECOGNITION APPLICATION
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

the feature points and thereby degrades the recognition rate. Though past techniques in the same area often requires manual setting of thresholding parameters but in this study the presented technique solves the problem of variation in light illumination by modeling the light field on facial micro expression for improving performance of the face recognition. The performance of the method is compared with the other techniques based on two benchmark datasets namely: CMU PIE & Multi-PIE.
ASSOCIATIVE RULE LEARNING FOR ANOMALISTIC BEHAVIORAL MODELING IN BANKING FRAUD APPLICATIONS
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

Over the years banking sector has suffered severe loss due to several fraudulent schemes and techniques. Development of a rapid behavioral modeling method in banking sectors is need of the hour. In this study we present the solution for such fraudulent by availing real time anomalistic behavioral modeling in banking scenario using the associative rule learning. The presented technique is tested for its validity on the publicly available datasets for performance review.
SHAPE SELECTIVITY OF AND SYNTHETIC VISUAL INTELLIGENCE
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

The process of coding information for face recognition in human is largely remaining unknown. In this study, we carry out few experiments todetermine the factors influencing coding mechanism in parahippocampal place area of the brain. The results show some significant outcome towardthe shape selectivity of the brain and latter we construct a computational mechanism to mimic the coding features behind face recognition.
MULTI-SCALE MODELING OF TERRITORIAL DYNAMICS OF GEOSPATIAL ANTHROPOGENIC ENERGY CONSUMPTION
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

The development of any region or territory stems from its own dynamic nature. Distribution and consumption of energy resources are varied territorially which in turn is ruled by the number of anthropogenic activities in association with geospatial localization. Such territorial dynamics necessitate considerable modifications of the energy infrastructure. Thus, the development of a computational multi-scale unified energy consumption model with the usage of geographic information help in automating data analysis processes for sustainable urban planning, allocation of energy saving infrastructures and strategic deployment of the renewable energy resources in order to finely regulate the utilization of energy resources for sustainable energy consumption. But the integration of city-wide energy system models and Geographic Information Systems (GIS) is still in its infancy. Thus we propose a computational infrastructure for modeling city wide geospatial energy consumption and automating the data analysis process to provide the sustainable environmental policy which require artificial intelligence based geospatial aware comprehensive planning regarding the modification of the energy supply, consumption, activities and infrastructures in cities. Thus end result of the presented research research work is fine-grained energy demand estimation from data sources, decentralized storage facility and automated sustainable planning; investigation of GIS based anthropogenic activities or mobility pattern influencing the wastage of energy resources, the transition from purely structural to operational planning, and, finally, the development of a new dynamic based power market design.
INTERNET OF THINGS-BASED MULTISENSOR NON-INVASIVE TECHNOLOGY FOR ROBUSMONITORING OF TUNNELING INFRASTRUCTURE
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

Tunneling is primarily one of the most expensive and uncertain endeavors in civil engineering. Hence, it is essential to explicitly quantify to consider all factors which in aid contribute towards uncertainty in terms of cost, time and resources. This Research work provides major IoT based computational and analytical tools for automating the non-invasive structure monitoring methods to provide decision aids in tunneling. Such, decision aids technologies for tunneling process comprises of multisensory networks for monitoring of structure, smart video cameras for geo-traffic monitoring and supported excavation during accidents, LIDAR technology for mapping deformations in the structures. The ongoing research will reduce uncertainties and information can be used to monitoring future risks. This work extend IoT based multisensory network system to achieve complex tunnel systems in order to develop a framework which will allow the experience gained from past projects to update predictions about cost of construction in conjunction with time as the construction takes place.
THE IPV6 RESISTANCE - A SURVEY
Authors: Tr Reshmi , K Anusha , V Sumathi , K Pandiyarajan
Published: July 2017

Internet Protocol Version 6 (IPv6) was developed in 1990 to overcome the shortage of IP Version 4 (IPv4) addresses. The world saw IP Version 6 as the next generation IP addressing and an innovative backbone for the Internet. Although more than twenty five years have passed since the development of IPv6, but still IPv6 is seen as new technology without drastic enhancements and has not been widely adopted. Even Information Technology giants fear the network transition to IPv6 backbone. This article analyses the reason for this resistance towards IPv6. A detailed study of the same has been conducted and is discussed in the paper. The discussion includes the myths and facts that has resulted to the IPv6 resistance and outlines the resolutions for IPv6 transitions.
DYNAMIC LOCATION AREA PLANNING IN CELLULAR NETWORK USING FREQUENT PATTERN MINING
Authors: Saikia Samiran , Saleena B , Prakash B
Published: July 2017

Frequent pattern mining algorithms as the name says, mines sets frequent patterns form given datasets. These algorithms provide immensely helpful results which have a wide scope of application starting from simple decision problems to complex business intelligence aspects. This paper attempts to apply the same concept of frequent pattern mining to solve the location management problem of GSM networks. In GSM networks the task of keeping track of a mobile user (MU) and relaying an incoming call, is called location management. It basically includes two processes, location update and paging. Location update deals with managing the current location of the MUs. There are many approaches to do this like time based, movement based, distance based etc. In this paper the location update procedure relies on the collected data of user movements form one network cell to another cell. This data has a definite pattern, as in day to day life a person mostly has a fixed route of travelling e.g. home to office in the morning and office to home in the evening. During this movement he crosses a specific set of network cells which remains same throughout the week. Thus, frequent pattern mining algorithm can be applied on the user’s mobility log and try to find out the most probable location where the mobile user could be found. Using the results, a dynamic location area for individual user’s current location can be created. Thus minimizing cost related to location update which otherwise involves communication between the mobile handset and the base station, and calculations related to keeping track of the location of mobile users.
A GREEN STRATEGY TO SYNTHESIZE ENVIRONMENT FRIENDLY METAL OXIDE NANOPARTICLES FOR POTENTIAL APPLICATIONS – A REVIEW
Authors: Vinitha G. , Vani P , Manikandan N
Published: July 2017

Chemical reducing and capping reagents are largely used in synthesizing metal oxide nanoparticles which limits the biomedical applications. Researchers have recently found out the eco-friendly technique of green synthesis which enhances the unique physical and chemical properties of nanomaterials. In this critique, we discuss green route to synthesize metal oxide nanoparticles and its significant applications in various fields of energy and environment, aerospace, medicine, biotechnology, etc.This study arouses to provoke new research design of approach to synthesize nanoparticles for various technological applications. In this review, most of the metal oxides nanoparticles with different plant extract with enhanced properties for its potential applications are discussed which confirms plant extracts as a potential candidate to be used as reducing and capping agent.
CAREER RECOMMENDER: A NOVEL APPROACH TO SUGGEST JOBS AND POST-GRADUATION STREAMS
Authors: Mathur Prafful Nath , Dixit Abhishek , Ramanathan Sakkaravarthi
Published: July 2017

To implement a novel approach to recommend jobs and colleges based on résumé of freshly graduated students. Job postings are crawled from web using a web crawler and stored in a customized database. College lists are also retrieved for post-graduation streams and stored in a database. Student résumé is stored and parsed using natural language processing methods to form a résumé model. Text mining algorithms are applied on this model to extract useful information (i.e., degree, technical skills, extracurricular skills, current location, and hobbies). This information is used to suggest matching jobs and colleges to the candidate.
REVIEW ON IMAGE AND VIDEO COMPRESSION STANDARDS
Authors: P Madhavee Latha. , A Annis Fathima.
Published: July 2017

Nowadays, the number of photos taken each day is growing exponentially on phones and the number of photos uploading on Internet is also increasing rapidly. This explosion of photos in Internet and personal devices such as phones posed a challenge to the effective storage and transmission.Multimedia files are the files having text, images, audio, video, and animations, which are large and require lots of hard disk space. Hence, these files take more time to move from one place to another place over the Internet. Image compression is an effective way to reduce the storage space and speedup the transmission. Data compression is used everywhere on the internet, that is, the videos, the images, and the music in online. Even though many different image compression schemes exist, current needs and applications require fast compression algorithms which produce acceptable quality images or video with minimum size. In this paper, image and video compression standards are discussed.
A REVIEW ON MULTIMODAL SPEAKER RECOGNITION
Authors: K Khadar Nawas
Published: July 2017

A review on multimodal speaker recognition (SR) is being presented. For many decades the speaker recognition has been studied and still it has grabbed the interest of many researchers. Speaker recognition includes of two levels –system training and system testing. The robustness of the speaker recognition system depends on the training environment and testing environment as well as  the quality of  speech .Air conducted (AC) Speech is a source from  which speaker is recognized by extracting the features. The performance of the speaker recognition system depends on AC speech. further to improve the robustness  and accuracy of  the SR system various other sources(Modals) like Throat Microphone ,Bone Conduction Microphone, array of microphones,Non Audible murmur, non auditory information like video are used in complementary with standard AC microphone. This paper is purely a review on SR and various complimentary modals.
A DEVELOPMENT OF VON NEUMANN MACHINES WITH ARTIFICAL NEURO-GLIA NETWORK
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

Artificial Neuro–Glia Networks (ANGNs) are upcoming approach in soft computing wherein the effects biological counterpart of artificial glia cells are used to support pattern based growth mechanism in artificial neural network. In this study we present a mathematical model of such ANGNs to build a von neumann machine. This method will properly learn its parameters for increasing the growth of neural network which can be used for solving several scaling problems in computing.