bluuebunny/crossref_metadata_2025 huggingface dataset:
Marketing Promotional Strategies of Start-up Enterprises: A Systematic Examination of Past Literatures
Authors:   Research Scholar, Department of Business Administration, Manipal University Jaipur, Rajasthan., Narayan* Madhusudan , Mohanty Dr. Birajit ,   Associate Professor, Department of Business Administration, Manipal University Jaipur, Rajasthan, Vadera Dr. M. L. ,   Professor & Director, School of Business & Commerce, Manipal University Jaipur, Rajasthan., Verma Dr. Suhasini ,   Associate Professor, Department of Business Administration, Manipal University Jaipur, Rajasthan, Kumar Mahesh ,   Research Scholar, Department of Business Administration, Manipal University Jaipur, Rajasthan
Published: December 2019

Products, whether innovative or existing, are valueless to the society unless are brought out of the factories. They gain value only when information of the product is dispersed to those who can use or consume them. Marketing promotion strategy is a tactics used by the companies to disseminate information about the product to the perspective consumers and entice them to purchase their company's products. Marketing promotion is a combination of various efforts that an enterprise pursues to contribute to sales growth by creating awareness, inducing sales and eventually enhance repeat sales by customers, thereby creating brand loyalty. This paper is a systematic review of a wide range of research papers on marketing promotional strategy of start-up entrepreneurs and how it how it affects the consumer’s cognitive thinking and purchasing behaviour.
Isolation and Characterization of PHA Producing Bacteria from Sewage Samples of Assam
Authors:   Department of Botany, Sonari College, Sonari, Assam, India, Chetia* Jasmine
Published: December 2019

Polyhydroxyalkanoate (Pha) Is A Family Of Naturally Occurring Polymers Which Is Reportedly Produced By More Than 75 Genera Of Gram-Positive And Gram-Negative Bacteria. Although The Industrial Production Of This Bioplastic Commenced Decades Ago, Its Large Scale Production Is Still Debilitated By Factors Such As Rate Of Production By The Bacteria And The Raw Materials For Its Production, Which Finally Elevates The Production Cost. The Present Thrust In This Area Is To Isolate Bacterial Species Which Have A High Turnover Of Pha With Minor Expenditure. Sewage And Sewage Sludge Samples Are Rich Sources Of Microflora Which Offer A Nutrient Limited Habitat To The Individual Organisms. Under These Conditions Of Stress, Native Organisms Develop A Metabolomics Which Efficiently Convert Vital Nutrients Into Essential Macromolecules, And In This Case A Storage Polymer Of Industrial Significance I.E. Pha. In This Pilot Study An Attempt Was Made To Isolate Indigenous Bacterial With Ability To Produce The Polymer.
Efficient Task and Data Scheduling Policy for Vehicular Fog Computing Based on Link Weight
Authors:   Department of Computer Science & Engineering, Trident Academy of Technology, Bhubaneswar, Odisha, India., Sahoo* Santosh Kumar , Khan Asif Uddin ,   Department of Computer Science & Engineering, Silicon Institute of Technology, Bhubaneswar, Odisha, India, Nayak Ajit Kumar ,   Department of IT, Siksha O Anusandhan Deemed to be University, Odisha, India
Published: December 2019

Vehicular network has several applications in the smart city and IoT. Recently with the advancement in the computing technology such as fog computing and its application in the vehicular network and its services, a new paradigm known as vehicular fog computing has evolved as a hot topic of investigation in the research community because of the next generation computing and communication requirements. Vehicular fog computing can be used to solve the issues of next generation computing and communication scenario. There are several issues in vehicular fog computing. Efficient task computing and data dissemination is an important issue. Several approaches are proposed by different authors to solve the issues, but none of them has addressed the service completion and failure rate which is very important in the vehicular scenario as the vehicles move very fast and its contact time with the RSU controller is limited. The task has to be completed by the vehicular server within that time period, otherwise computation will fail. Once the computation and communication fails, the RSU controller will reinitiate to form the vehicular fog resulting high overhead. In this paper we address this issue and proposed an efficient scheduling algorithm based on multiple parameters namely queue length, response time and link weight. We simulated the algorithm using java and compared with the existing algorithm showing better performance.
Integrated Aircraft Landing System using Lidar And RSSI
Authors:   Assistant Professor (Sr.Gr), Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India, Chinthamani* B. , Kalaivani K. ,   Associate Professor, Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India, Sughashini K.R. ,   Assistant Professor, Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India, Navaseelan P. ,   Associate Professor, Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India, Nagalakshmi R. ,   Assistant Professor, Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India
Published: December 2019

An aircraft landing system is most essential to ensure quality air traffic and safe landing process. In most airports an advanced aircraft landing system is necessary. This project proposes a system wherein all departments functioning separately are integrated. This system will overcome disadvantages of the existing system such as slow landing process and possibilities of manual error. The project deals with developing an economical and affordable solution for perfect landing in airports based on physical ambient conditions in the airport. The proposed system continuously monitors all the physical parameters and sends an audio signal output in case of an abnormal condition. Various parameters which are required for safe landing such as air temperature, humidity, wind speed, wind direction, fog and visibility are measured using suitable sensors and interfaced to a controller unit. A Light Detection And Ranging (LIDAR) model is used to determine the ground level clearance. The distance of other aircrafts from the ground station is determined using Received Signal Strength Indicator (RSSI). A simulation output screen is used to continuously display the measured parameter values.
Neural Network Based Nonlinear Autoregressive Models for CNC Machine Process
Authors:   Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India., Suganya* M. , Sobana S. ,   Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India., Johnsi J. ,   Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India, Nagalakshmi R. ,   Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India, Sughashini K.R. ,   Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India
Published: December 2019

Tool wear monitoring and control in the machining operations is necessary to enhance the productivity and decrease the operation cost. The identification of CNC machine process model and its control is so difficult due to its high non-linearity. Therefore, neural networks (NNs) one of the non-linear identification techniques, have been applied in addition to system identification field for the identification and control of nonlinear systems. In this paper, auto-regression recurrent neural network model structures NNARX and NNARMAX is proposed for CNC machine modeling with its cutting condition and vibration signals as input to obtain an accurate nonlinear system model for prediction of tool wear and surface roughness. Finally, the modeled neural network model structures for prediction of tool wear and surface roughness is validated with the observed tool wear and surface roughness for the accuracy analysis of modeled neural network model structures.
Strength Properties of Hybrid Fiber Reinforced High Performance Concrete with Mineral Admixtures
Authors:   Assistant Professor, Department of Civil Engineering, RYMEC, Ballari, Karnataka, India, Adanagouda*  , Somasekharaiah Dr.H.M. ,   Professor, Department of Civil Engineering, RYMEC, Ballari, Karnataka, India.
Published: December 2019

In recent days, High Performance Concrete (HPC) is rapid accomplishment for wide range of applications in the construction of concrete structures. When two fibers are added to concrete in a suitable combination to make the composite structures and it produce overall improve properties of concrete gives and also result in performance concrete that type of concrete is Hybrid Fiber Reinforced High Performance Concrete (HFRHPC). The use of mineral admixtures in concrete enhances its properties regarding strength parameters,, workability and durability of concrete. In this experimental work using mineral admixture like fly ash, silica fume and metakaolin towards the performance of HPC. The partial replacement of cement by different percentages of mineral admixtures are 0,10, 20 & 30% was used in the concrete mix containing composite fibers (Steel and Polypropylene) of different percentages viz 0,0.75,1.0 and 1.25% for all concrete mixes on the properties of High Performance Concrete. An Aggregate Binder (A/B) ratio of 1.75 with different water binder (W/B) ratio viz, 0.275, 0.30, 0.325, 0.350 and 0.375 was used in this investigation. In order to evaluate and compare the strength properties of different concrete mixes are conducted and results are tabulated. From the present investigation results showed that as the percentage of fibers increases the strength of concrete increases. Hybrid fiber ratio is 1.25% with 10% of metakaolin admixture and Aggregate binder ratio 1.75 gives maximum results in all strength parameters compare to other different mixes.
Task – Heterogeneous Resource Mapping Algorithm for Grid Environment
Authors:   Assistant Professor(SLG) in Kongu Engineering College Erode, Kamalam* Dr.G.K. , Anitha Ms.B. ,   Assistant Professor in Kongu Engineering College Erode
Published: December 2019

In grid, scheduling algorithms play vital role of mapping a set of tasks to the available heterogeneous resources. Extant literatures have shown that the task mapping problem is an NP-Complete problem. Heuristic scheduling algorithm aims to obtain the minimum overall execution time of the set of tasks. In this paper, we address the problem of scheduling a set of n tasks with a set of m resources, such that the makespan is minimized. The proposed task scheduling algorithm (RTS) is based on the well-known optimization algorithm, called Hungarian algorithm. (RTS) algorithm considers an equal number of tasks and resources, and maps the tasks to the resources and makes an effective scheduling decision. We simulate the (RTS) algorithm and compare it with the Min-min heuristic scheduling algorithm. The performance evaluation shows that (RTS) produces minimized makespan and better resource utilization in comparison to existing Min-min.
IoT Based Automatic Tyre Sorting System
Authors:   ECE department,Jeppiaar Institute of technology ,sriperumbudur,Chennai,India, Ramakala* R. , Uma Dr.R. ,   ECE department,Jeppiaar Institute of technology , sriperumbudur,Chennai,India, Parimala A. ,   ECE department,Jeppiaar Institute of technology , sriperumbudur,Chennai,India, Nancy W. ,   ECE department,Jeppiaar Institute of technology , sriperumbudur,Chennai,India, Jeyasekar D.Joshua ,   ECE department,Jeppiaar Institute of technology , sriperumbudur,Chennai,India
Published: December 2019

Tyre segregation is one of the indispensible processes in tyre manufacturing industry. In tyre manufacturing industry various size of tyres are examined at segregation unit at a time. Till today the tyre segregation process is done manually which increases the manpower and process time. Tyre sorting is the process of segregating the tyres from different sizes. The sorting process is based on the Geometrical parameter (Inner Diameter, Outer Diameter, Outer Core button Design) of the tyre. This research work is aimed to automate the sorting process of different tyres using Image processing and IOT. This pioneering work depicts a prototype of segregation system which includes the image processing segment to categorize the type of tyres which are fitted for various vehicles. The proposed system consist of Conveyor system, Raspberry pi -3 controller, tyre collecting bin, Servo motor and Image processing camera. This system camera monitors the incoming various tyres from the conveyor, based on the geometrical parameters of the tyres they are segregated and placed in the appropriate tyre collecting bin and the same information is shared to the database through IOT. The proposed model is observed to be very efficient with its counterpart.
2D Cam Capture: An Optimal Real-Time Dimension Measurement System
Authors:   Department of Electronics and Instrumentation, Kongu Engineering College, Perundurai, Erode, India, B* Venkatesan. , T Sudharsan. ,   Department of Electronics and Instrumentation, Kongu Engineering College, Perundurai, Erode, India, S Sugitha. ,   Department of Electronics and Instrumentation, Kongu Engineering College, Perundurai, Erode, India, S Sumithaa. ,   Department of Electronics and Instrumentation, Kongu Engineering College, Perundurai, Erode, India, S.R Swarga. ,   Department of Electronics and Instrumentation, Kongu Engineering College, Perundurai, Erode, India
Published: December 2019

In the textile industry, dimension measurement of patterns plays a major role to obtain a perfect fit for a garment. The process of obtaining the measurements must be fast enough with high accuracy to avoid wastage of materials and also to ensure customer satisfaction. Currently digitizer is used to do the measurements of industrial patterns in textile industries. The existing digitizer has certain disadvantages which include high investment and less accuracy due to manual intervention for coordinate mapping. In recent trends image processing is a growing tool to analyse and process the image captured by a camera, which plays the major role in quality control system and material inspection system in various industries. The proposed method acts as a pinch-hitting to the conventional processes by providing a 2D Cam Capture algorithm using sequence of image processing techniques. This eases the measuring process by providing accurate dimensions of multi shapes without any distortion. This computer vision-based system involves capturing the image, processing and shape analysis using pixel calculation algorithm thereby providing accurate measurements. 2D Cam Capture provides an accuracy of 98.6% obtained from 245 samples at a minimum rate of 189.90 ms per iteration.It is cost effective by using a camera and it ease the process of capturing multi shapes without any shape distortion. This method increases accuracy and let the user to achieve their time schedule by way of increasing the productivity.
Flexural Behaviour of Geopolymer RC Beam with Scrap Steel Slag Coarse Aggregate
Authors:   Research Scholar, Department of Civil and Structural Engg., Annamalai University, Tamil Nadu, India., N* Suganya. , S Thirugnanasambandam. ,   Professor, Department of Civil and Structural Engg., Annamalai University, Tamil Nadu, India.
Published: December 2019

This research work aims adding further sustainability to the cement - less geopolymer concrete by replacing its natural gravel coarse aggregate by an industrial by-product, scrap steel slag. Geopolymer RC beam of grade M40 with 100% scrap steel as coarse aggregate was studied for its flexural behavior and compared with conventional reinforced cement concrete beam with gravel coarse aggregate. The specimens were tested under two-point static loading. The analysis was also carried out using ANSYS software. The study derived that in all stages, the performance of the geopolymer beam with scrap steel slag was marginally better than the conventional beam with gravel coarse aggregate. The ultimate load carrying capacity, deflection, service load and ductility factor of geopolymer RC beam with scrap steel slag coarse aggregate was comparable to the conventional cement concrete RC beam and is marginally higher. It is also found that conventional RC theory can be used in the calculation of moment capacity, deflection and crack width of the geopolymer beam of study and FE modeling and analysis using ANSYS were comparable to the experimental results.
Image Classification using Deep Learning Framework
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Razia* Dr.Shaik , Reddy M. V. Dharaneeswara ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Mohan K. J. Sai ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Teja D. Sai ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Published: December 2019

Among all the monitoring methods, models with data that is driven have more success rate when compared to any other methods. However these methods are functional to the procedure of material features such as rate of flow, pressure and temperatures. In this we use Keras, in this a group the neurons forms a pair consisting of a unit from visible layer and hidden layer. Forming so they may be formed in a symmetry which provides us to detect the fault. There must not be type of connection between the nodes of a particular group. CNNs are regularized versions of one of the many multilayer perceptrons. Multilayer perceptrons generally means entirely linked networks, that is, each and every neuron that is present in one of the any layer is linked to all neurons in the rest of all layer. The "fully-connectedness" of these modeling networks makes all of them liable for the over-fitting cause of data. Classic ways for the regular use includes accumulation of magnitude measurement of weights by the loss function. On the other hand, CNN took an unusual move towards or step towards the regular use: they take the benefit of the current hierarchical outline in the data set and gather more and more difficult outline using smaller outlines. Thus, on comparing among the connectedness and difficulty, CNN’s are at the least limit.
Forecasting the Outcome of the Next ODI Cricket Matches to Be Played
Authors:   Electrical & Computer Engineering, North South University, Dhaka, Bangladesh., Abedin* Minhazul , Urmi Silvy Rahman ,   Electrical & Computer Engineering, North South University, Dhaka, Bangladesh, Mozumder Md. Towfiqul Islam ,   Electrical & Computer Engineering, North South University, Dhaka, Bangladesh., Rahman Md. Samiur ,   Electrical & Computer Engineering, North South University, Dhaka, Bangladesh., Firoze Adnan ,   Electrical & Computer Engineering, North South University, Dhaka, Bangladesh
Published: December 2019

Cricket is one of the most popular sports in the contemporary world. The ebullience of securing victory in a particular match has motivated the rudimentary part of this research aspect. Winning in Cricket depends on various aspects like weather, track records of the performances of players, performances at a specific venue, match experiences, performance against a specific team and the current form of the team and the player. In this paper the main goal is to estimate a win prediction for ODI (One Day International) cricket match. For purposes of model building, various method has been applied retrospectively to the data that are already obtained from previously played matches. From them, Random Forest has given the best outcome of 92.6%.
Detection of Neurons in the Proteomic and Genomic Image Data
Authors:   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India., S V* Aswin Kumer , Kanakaraja Pamarthi ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India., Khan Pathan Bahalul ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India., Venkata Dileep Vudatha Veera ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India., Ujwala Challapalli ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India.
Published: December 2019

Nowadays, the major biomedical data required for diagnosing the disease is neurons in the nerve cell. Just a brief timeframe after the neuron became recognized as the basic unit of the sensory system, the main endeavors were made to appraise the quantity of neurons in various parts of the sensory system. During the previous century, an incredible number of techniques have been utilized in making such gauges. In spite of the fact that the most generally utilized and acknowledged strategy is that of direct including in the magnifying lens, different systems, including photographic, projection, homogenate, programmed, and visual strategies have been planned. And in this project we are taking a brain tissue as an image data and from that image we are finding the number of neurons which are active in state for the first 24 hrs. and again check for 48 hrs. and finally for 72 hrs. so we here find how neurons are responding after giving information to a body and that information flows through nerves of the body and reaches to the neurons present in a human brain and the neurons react to the information and we take the data that how many neurons are responding to the information that is given to a human body. So, by finding the number of neurons responding to the information given to human body we could estimate the neurons which are alive, and which are dead by this we could declare the mental status of a person. So we are finding the number of neurons with the help of neural network method using MATLAB software and we created a page with the help of MATLAB so we can give input image in the page and the code we written will help to check the number of neurons.
Using Aggloramative Clustering to Asses and Improve Software Reliability
Authors:   Asst. Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education and Foundation, Guntur, India., rao* P.Venkateswara , Pravallika  ,   Department of Computer Science and Engineering,KoneruLakshmaiah Education and Foundation,Guntur,India., Manogna  ,   Department of Computer Science and Engineering,KoneruLakshmaiah Education and Foundation,Guntur,India., Ram Sree ,   Department of Computer Science and Engineering,KoneruLakshmaiah Education and Foundation,Guntur,India.
Published: December 2019

For the reduction of cost in software testing we propose a novel technique for testing and classifying methods based on clustering methods for classifying test cases for powerful and non-viable groups. This technique is based on data treatment obtained by pre-release of program while testing. Here we introduce 2 new clustering algorithms such as centroid and hierarchical based clustering. The test study expresses that the experiment bunching results can be distinguished viably with high review proportion and noteworthy rate exactness. The present paper tells about the presentation of clustering which move towards by comparing and investigating the factors like criteria coverage, features of construction and pre-release faults quality.
Structural Behaviour of Concrete with Fly-Ash and Ferrochrome Ash as Partial Replacement of Cement
Authors:   Associate Professor, School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India., Mohanty* Dr. Tribikram , Saha Srishti ,   Post graduate student, School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India., Saha Dr. Purnachandra ,   Associate Professor,School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India., Das Dr. Bitanjaya ,   Senior Professor, School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India.
Published: December 2019

A large quantity of waste materials such as fly ash, silica fume, rice ash husk, and ferrochrome ash etc. are produced as a result of rapid industrialization. Ferrochrome ash is derived from the ferro-alloy industry and fly-ash is developed in thermal power plants as substitute products that can be used as a mineral admixtureinconcrete. The present study considers concrete's structural behavior using different percentage of fly ash and ferrochrome ash as a partial replacement of cement. Experiments were performed tosubstitute cement with 10% fly ash, 20%, 30% and 3% ferrochrome ash. Beam specimens are prepared by following standard procedures. It can be inferred from the study that the sample with 30% fly ash and 3% ferrochrome ash as partial replacement of cement gives maximum load carrying capacity among all the beam specimens. Further, it is observed that the beam specimen with fly ash and ferrochrome ash gives more ductility than of conventional concrete. Hence 30% fly ash and 3% ferrochrome ash as partial replacement of cement has been strongly recommended.
Research on Recommendation Systems using Deep Learning Models
Authors:   Assistant Professor, Department of CSE, Sri Ramakrishna Institute of Technology, Coimbatore, India., Geetha* M.P. , Renuka Dr.D.Karthika ,   Associate Professor, Department of IT, PSG College of Technology, Coimbatore, India
Published: December 2019

Recommender System is the effective tools that are accomplished of recommending the future preference of a set of products to the consumer and to predict the most likelihood items. Today, customers has the ability to purchase or sell different items with advancement of e-commerce website, nevertheless it made complicate to investigate the majority of appropriate items suitable for the interest of the consumer from many items. Due to this scenario, recommender systems that can recommend items appropriate for user's interest and likings have become mandatory. In recent days, various recommendation methods are applied to resolve the data abundance setback in numerous application areas like movie recommendation, e-commerce, news recommendation, song recommendation and social media. Even if all the available current recommender systems are successful in generating reasonable predictions, these recommendation system still facing the issues like accuracy, cold-start, sparsity and scalability problem. Deep learning, the recently developed sub domain of machine learning technique is utilized in recommendation systems to enhance the feature of predicted output. Deep Learning is used to generate recommendations and the research challenges specific to recommendation systems when using Deep Learning are also presented. In this research, the basic terminologies, the fundamental concepts of Recommendation engine and a wide-ranging review of deep learning models utilized in Recommender Systems are presented.
Ethical Hacking: Cyber-Crime Survival in the Digital World
Authors:   Assistant Professor, Department of Commerce, Kristu Jayanti College, Bangalore, India, Nagadeepa* Dr. C. , Mohan Dr. Reenu ,   Assistant Professor, Department of Commerce, Kristu Jayanti College, Bangalore, India., Singh Ajith ,   B.Com, Department of Commerce, Kritu Jayanti College, Bangalore, India.
Published: December 2019

An ethical hacker is a person or a company who has permission from the owner of the system or network to test and penetrate the system in order to find any kind of vulnerabilities, weaknesses or loopholes in the network so that these can fixed and system can be secured from black hat hackers. Ethical hackers use the same kind of tools and methods to test the system as black hat hackers. As we are in digital world it is necessary to protect our network from various hacking attack on our networks. If we have our networks tested and secured, we can protect our data and digital footprints from going into wrong hands. Current research paper will talk about the most common kind of hacking attack by black hat hacker “network hacking” just by gaining access to the AP of your network and simply putting some commands and all your data can be captured and altered through some software provided by the platform like kali Linux. To safeguard our data, among the various technologies are WEP, WAP and WAP2 are used prominently. Which also have some vulnerability in it, this research paper will be discussing about these weaknesses of each technology in detail and at last it will also be discussed on different ways to protect our mobile, system, etc from such attempts of hacking into our networks.
Design and Implementation of Content Addressable Memory Unit using Qunatum Dot
Authors:   Electronics and communication, Koneru Lakshmaiah Education Foundation, Khammam, India., kranth* G. Surya , Ravindran Dr.R.S. Ernest ,   Electronics and communication, Koneru Lakshmaiah Education Foundation, Vijayawada, India.
Published: December 2019

Quantum-dot cell automata is one of the upcoming new advances at the nanoscale that can be a reasonable substitution for CMOS innovation. The circuits built in QCA technology have attractive features like low power utilization, and low size. These features can be progressively particular in memory structures. In this paper, the new design another structure for substance addressable memory cell in QCA. For this reason, initial, an extraordinary gate is presented for mask task in QCA and afterward this gate is utilized to enhance the execution of CAM. These structures are assessed with QCA Designer test system.
Implementing Cyber Security of Health Care IOT Based System
Authors:   Electronics and Computer Science Engineering, Koneru lakshmaiah Education Foundation, Vaddeswaram, Guntur, India., Aruna* B. , Kumar* Dr.G.Vijay ,   Electronics and Computer Science Engineering, Koneru lakshmaiah Education Foundation, Vaddeswaram, Guntur, India., Sri* P.S.G.Aruna ,   Electronics and Computer Science Engineering, Koneru lakshmaiah Education Foundation, Vaddeswaram, Guntur, India., Tenali* Ravi Kumar ,   Electronics and Computer Science Engineering, Koneru lakshmaiah Education Foundation, Vaddeswaram, Guntur, India.
Published: December 2019

This paper is growing with the technology of InternetOfThings(IoT) mostly in healthcare. In this paper attention is given to the vital signs like body temperature, pulse rate and motion detector. These vital signs are formed by detecting the patient’s condition with these vital sensors. The security provided here is the data formed which is collected and stored in the cloud. This modern healthcare environment is convenient to both physicians and patients as it is applied in various medical fields. In this technology the patient can be monitored frequently. Considering security is to keep the patients detailed information privacy.
Personality Type and Birth Order of Women Engineering Students
Authors:   Assistant Professor (Sr. Gr.), Amritadarshanam - International Centre for Spiritual Studies, Amrita Vishwa Vidyapeetham, Amrita School of Arts and Sciences, Amritapuri, Menon* Preetha , Anurekha TK ,   Assistant Professor, Dept. of Psychology, PSG College of Arts &Science, Coimbatore, Tamil Nadu
Published: December 2019

The present study attempted to assess the psychological types of women engineering students using MBTI (Myers Briggs Type Indicator) and to examine the effects of birth order on personality type. The participants (N=338) on the average scored high on extraversion, sensing, thinking and judging (ESTJ). The most identified personality types were Extraversion-Sensing-Thinking-Judging (ESTJ) and Extraversion-Sensing-Thinking-Perceiving (ESTP). The least common personality types were Introversion-Intuitive-Feeling-Perceiving (INFP), and Introversion-Intuitive-Thinking-Judging (INTJ). Cross tabulation examined relationships between personality type and birth order. Results of the study indicated that birth order has bare minimal statistically insignificant effect on the personality type. The present study is anticipated to afford the higher education sector with pertinent information for framing the university admission policies with regards to the career path. Longitudinal studies, to determine an individual’s birth order effects on personality and other variables such as self-worth and contentment with life are recommended. Validation of the results of the study is possible with future research on a larger population of women pursuing varied disciplines.
Soil Stabilization on Problematic Soil with Traditional Stabilizer
Authors:   Assistant Professor, Department of Civil Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, Tamilnadu, India, M.K* Soundarya. , S Bhuvaneshwari. ,   Associate Professor, Department of Civil Engineering, SRM Institute of Science and Technology, Chennai, Tamilnadu, India
Published: December 2019

The tumble down behaviour of super structure and substructure is caused due to the problematic soil which is more prone to shrink-swell process. In this event to contrive, a substitute which is naturally available has been blended with virgin soil. The basic Engineering properties has been studied which shows more positive results towards Atterberg’s Limit. The mould is embossed with the soil with lime at different proportion of 0 %, 2%, 4% and 8 %. The strength of the soil was studied with help of unconfined compression test. For 8% lime, UCC value is 2250 kPa in 28 days which shows the formation of cementitious material. An attempt made in this paper is to show the firmness of soil and lime.
mplementation of DTMF and RFID in Robotic Telesurgery
Authors:   Assistant Professor, Department of Biomedical Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai – India, Dhivya* Josephin Arockia , Chandrasekaran R. ,   Assistant Professor, Department of Biomedical Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai – India, Hemalatha R.J. ,   Assistant Professor, Department of Biomedical Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai – India, Thamizhvani T.R. ,   Assistant Professor, Department of Biomedical Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai – India
Published: December 2019

Telesurgery is gaining importance day by day. This helps for enabling long distance surgery which helps to serve the patients in the remote areas. The telerobotic surgical system enables long distance telesurgery, covering the distance between patients and surgeons in remote regions of the world. This prototype have a helper robot which does all the commands instructed by the doctor. This technology is widely used in battlefields, disaster areas and remote areas. The helper robot does the necessary actions by listening to the commands of the doctor. It is used eminently in the situation where doctors cannot reach the accident spot. These robots increases the distance between the doctors and the patients by enabling control through remote ways. Hence lives of the humans can be saved in a effective manner with the help of a robot performing the functions. To attain this system the components used are 8051 microcontroller, LCD, RFID tag and reader, Zigbee, DTMF decoder , PIC and PLACE robot. All the components are interfaced with the microcontroller. Controlling the robot is done by making a call to the particular mobile number. The mobile will be under auto answer mode. After attending the call press the corresponding key to control the robot. In addition with this we use RFID tag and reader for equipments handling. Each equipment have one tag .If any tag is read by the reader corresponding tag number will be sent to the particular monitoring node with help of Zigbee. We have to maintain a database (tag one for knife, tag two for scissor etc) based on the information received by the robot and the control will be done by the doctor.
Effectiveness of E-Learning and Perceived Satisfaction for an Accounting Course in Engineering using the FA4v1 Hybrid Application
Authors:   E-learning Officer, Politeknik Sultan Haji Ahmad Shah, Kuantan, Pahang, Malaysia., Tg Yaakob* Tg Besaruddin Shah , Wan Yusoff* Wan Zuraida ,   Senior Lecturer, Commerce Department, Politeknik Sultan Haji Ahmad Shah, Kuantan, Pahang, Malaysia., Yusof* Che Alias Mohd ,   Deputy Director (Academic), Politeknik Sultan Haji Ahmad Shah, Kuantan, Pahang, Malaysia.
Published: December 2019

The purpose of this study is to determine the effectiveness of adapting e-learning using self-developed hybrid applications called FA4v1 based on IR4.0 technology for an accounting course in Politeknik Sultan Haji Ahmad Shah (POLISAS). A hybrid FA4v1 application was self-developed by the content creator that works on mobile and web technologies. It has been implemented for students taking Financial Accounting 4 in the December 2018 session. This study attempts to evaluate, 1) the perceptions of the students (application user) on the hybrid FA4v1 usage, and 2) It also evaluates the impact of its usage and application in reflecting final examination results for Financial Accounting 4 course A questionnaire was distributed online for users to give their feedback after using the application in their class. It consists of student’s perceptions involving time, tools and costs compared to conventional teaching and learning (TnL) methods. The study showed that more than 80% give their positive feedbacks in using the application. They agreed that the application is easy, efficient, and cost-saving compared to other Teaching and learning methods and will benefit them as an alternative learning resource. The study uses a causal-comparative design which consisted of experimental group (application user) and control group (non-application user) that shows an increase in the number of passes for the course from 23.5% to 52.9%. The study is useful in providing templates for educators to self-develop their own contents in providing a blended learning approach to enhance student’s knowledge. It was also found that the use of IR4.0 technologies such as cloud computing will make such a great impact on the development of Education 4.0.
Optimization of Foam-Filled Square Thin-Walled Aluminium Structures
Authors:   Fakulti Teknologi Kejuruteraan Mekanikal dan Automotif, Universiti Malaysia Pahang, 26600 Pekan, Pahang Darul Makmur, Rahim* Nurul Izzah bt Ab , Salleh Salwani binti Mohd ,   Fakulti Teknologi Kejuruteraan Mekanikal dan Automotif, Universiti Malaysia Pahang, 26600 Pekan, Pahang Darul Makmur
Published: December 2019

Crash box are the structural part designed to absorb energy during crash and minimize the injury to passengers. Various design of energy absorbers has been introduced to unleash design with the best crashworthiness behavior. Foam-filled structures are one of the promising designs. In this study, foam-filled structure was investigated to increase the energy absorption capability and reduce the initial peak force simultaneously. Since most foam-filled structures tend to absorb more energy with high peak force, optimization of the energy absorbers is significant in obtaining the optimum design. Response surface methodology (RSM) has been dominant technique in crashworthiness optimization mainly because of it provides efficient and accurate solution. This paper focused on the optimization foam-filled columns with respect to thickness of the tube and length of foam to enhance energy absorptions and reduce initial peak force. The optimization results suggested by Design Expert software for impact test is 515.9 J for EA and 134.94kN for IPF value with the column thickness of 2.0mm and foam length of 185mm. For quasi-static test, the optimum solution value for EA and IPF are 864.5J and 88.33kN respectively with column thickness of 1.87mm and foam length of 200mm.
Discovering the Readiness of Malaysian Industry in Adaptation of Industrial Revolution 4.0 towards Manufacturing Sustainability
Authors:   Department of Quality and Productivity, Kolej Kemahiran Tinggi MARA, KM8, Jalan Gambang 25150 Kuantan, Pahang, Malaysia., Rosdi* Mohd Noor Hanif Mohd , Muhamad Mohd Razali ,   Department of Manufacturing Engineering, University Technical Malaysia, 76100 Malacca, Malaysia., Wan Mahmood Wan Hasrulnizzam ,   Department of Engineering Technology, University Technical Malaysia, 76100 Malacca., Abd Kadir Mohd Hafiz ,   Department of Technology and Process, Kolej Kemahiran Tinggi MARA, KM8, Jalan Gambang 25150 Kuantan, Pahang, Malaysia.
Published: December 2019

revolution 4.0 is hitting manufacturing industry where a big amount of data and equipment are being introduced. There are many definition of IR 4.0 defined by researchers and industrialists from the whole world. Some of the popular definition are customization, digitalization, flexible, responsiveness and automation. This paper will focused only on one element of IR 4.0 which is responsiveness. Responsiveness holds an essential role in IR 4.0 where manufacturing firms have to be responsive on the whole manufacturing process related with their business from the production design, planning, customer, society, surrounding, technology, suppliers and stakeholders. On the other hand, lots of issues related with sustainability are arise either from governed authority or non-government bodies. This issue is very sensitive and should be considered by manufacturing firms in any decision made. This scenario makes IR 4.0 and sustainability looked moving in the opposite direction where achieving and competing in IR 4.0 will make manufacturing firms neglecting the sustainability issue. In order to be more sustainable in this industry, manufacturing firms should consider to be responsiveness and its impact towards manufacturing sustainability. This research started with finding the key manufacturing responsiveness and sustainability practices and elements from the published articles. Then, a structured questionnaire survey is constructed thus distributed to reachable manufacturing firms in Malaysia. The data gathered is analyzed using SPSS software on the data reduction and factor analysis, Cronbach’s alpha reliability test and Pearson correlation. The result proved that Malaysian industry is very well aware and prepared regarding manufacturing responsiveness and sustainability as well as manufacturing management. When analyzed deeper, research found that Malaysian industry is lack or considered weak in competitiveness thus it is essential in future to focus on this area.
Development of Sustainable Supplier Selection Model using Dematel for Manufacturing Industry
Authors:   Kolej Kemahiran Tinggi MARA Balik Pulau, Genting 11000 Balik Pulau, Pulau Pinang, Malaysia., Mohamed* N. , Mahmood W.H.W. ,   Sustainable and Responsive Manufacturing Research Group, Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka, 76100 Melaka, Malaysia., Yusup M.Z. ,   Kolej Kemahiran Tinggi MARA Balik Pulau, Genting 11000 Balik Pulau, Pulau Pinang, Malaysia., Tukimin R. ,   Kolej Kemahiran Tinggi MARA Kuantan, KM8, Jalan Gambang, 25150 Kuantan, Pahang, Malaysia.
Published: December 2019

A Sustainable Supplier Selection in supply chain becomes a key strategic evaluation to sustain in a competitive manufacturing environment. Thus, a careful consideration in supplier selection should be identified and prioritised. For this reason, the studies were carried out to determine and analyse the elements that contributes to the establishment of the sustainable supplier selection. To investigate the effectiveness of Sustainable Supplier Selection in the manufacturing Industry, a questionnaire was chosen to collect data from experts. Using a Decision Making Trial and Evaluation Laboratory (DEMATEL) method a Causal model was then established. These model shows that the priorities for Work System Performance (WSP) is WSP 4 (Manufacturing Cost Reduction). This finding is significant for manufacturing firm to establish a sustainable supplier in the supply chain management. Highly focuses on all these factors as a part of in their decision making stage for supplier selection will ensure their operation are in the sustainable manufacturing environment.
ICT Integration Practices of STEM Teachers in TVET
Authors:   Department of General Studies, MARA Kuching Technical Institute, Kuching, Sarawak, Malaysia., Chan* Fariedah Lal , binti Mohamad Fitri Suraya ,   Faculty of Cognitive Science, Universiti Malaysia Sarawak, Sarawak, Malaysia.
Published: December 2019

STEM Education is important for a country to be advanced in economy and technology. It is achieved through skilled and multi-talented workforce produced by Technical Vocational Education and Training (TVET) which is a component of STEM Education. Technology becomes a mechanism for STEM teachers to engage their students in STEM disciplines. However, STEM teachers have barriers and challenges integrating technology in STEM Education. Therefore, it is the purpose of this study to examine STEM teachers’ technology integration practices in the context of ICT. This is a preliminary study that is conducted in MARA TVET – one of the private providers of TVET in Malaysia. Using a quantitative data collection tool, 32 STEM teachers from MARA TVET in Borneo Region participated in the study. The study employed adopted SPMa (Standard Practices MARA Educators) instrument that consists of three dimensions: basic ICT skills, integrating ICT in teaching and learning and communicate skillfully using ICT. The overall result revealed that the level of ICT integration of STEM teachers in MARA TVET is high (M = 2.63, SD = 0.80). Dimension basic ICT skills had the lowest mean (M = 2.41, SD = 1.04) and followed by dimension integrating ICT in teaching and learning (M = 2.69, SD = 0.90). Dimension using ICT to communicate had the highest mean (M = 2.78, SD = 1.04). In conclusion, the level of ICT integration of STEM teachers in MARA TVET of Borneo Region based on adopted SPMa instrument is moderate. Though ICT skills affect ICT integration in teaching and learning, there is also a need to examine other factors that affect the success of ICT integration. STEM teachers’ knowledge is a proposed variable to be investigated in future research.
Digital Interactions and Internationalisation of Small, Medium Enterprises
Authors:   Azman Hashim International Business School, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia., Mohamad* Azlina , Rizal Adriana Mohd ,   Azman Hashim International Business School, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia., Basiruddin Rohaida ,   Azman Hashim International Business School, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia., Kamarudin Suzilawati ,   Azman Hashim International Business School, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia.
Published: December 2019

Digital interactions of Small Medium Enterprises (SMEs) in developing countries in regards to the internationalisation is not well explored. This research shows how the digital communications amongst service providers and SMEs enable internationalisation among SMEs. The importance of the digital interactions such as social media, online marketing and mobile phone afforded the internationalisation. The results suggest social media, online marketing and mobile phone can speed up the internationalisation when SMEs and service providers utilize the digital interactions. In other words, instead of using conventional interactions as determinant of internationalisation, digital interactions may be an enabler for SMEs in regards towards internationalisation.