bluuebunny/crossref_metadata_2025 huggingface dataset:
The Dynamic Web Services Adaptation Framework in Context-Aware Mobile Cloud Learning Using Semantic-Based Method
Authors:   Faculty of Computer Science & Information Technology Universiti Putra Malaysia 43400 UPM Serdang Selangor, Malaysia, Muhammad Sufri , Admodisastro Novia ,   Faculty of Computer Science & Information Technology Universiti Putra Malaysia 43400 UPM Serdang Selangor, Malaysia, Osman Hafeez ,   Faculty of Computer Science & Information Technology Universiti Putra Malaysia 43400 UPM Serdang Selangor, Malaysia, Ali Norhayati Mohd ,   Faculty of Computer Science & Information Technology Universiti Putra Malaysia 43400 UPM Serdang Selangor, Malaysia
Published: November 2019

Most of Service-Based Applications (SBAs) have to be changed after their first deployment not solely due to the changing system requirements as well as of continuous change of the environment itself. With the growth of web service paradigm, there is a need for an efficient mechanism in dynamic adaptation process to offer users a better service experience. In particular, context-aware can be adapted in dynamic adaptation by considering user's contexts and device's contexts. Context awareness will be a key area for Mobile Cloud Learning (MCL) environment as it helps in the reasoning process to provide correct education resources for learners' prospect. Contextual information are represented using semantic-based approach for high expressiveness and formal representation for reasoning technique. However, dynamic adaptations frameworks in previous research are still lacking in terms of contextual information of the learner and device, and quality of services (QoS) were not considered. Besides, there is limited support of semantic expressiveness in terms of contextual information and services by using solely semantic-based technique. This paper proposes Dynamic Adaptation in Context Aware Mobile Cloud Learning (DACAMoL) framework to support adaptation process in MCL using semantic-based approach. The framework is applied in MCL mobile application that offers basic learning language.
Virtual Reality Application for Stress Therapy: Issues and Challenges
Authors:   College of Computing and Informatics, Universiti TenagaNasional, Malaysia.UNITEN R&D Sdn. Bhd., Zaharuddin Farhah Amaliya , Ibrahim Nazrita ,   College of Computing and Informatics, Universiti TenagaNasional, Malaysia, Institute of Informatics and Computing in Energy, Universiti TenagaNasional, Malaysia., Mahidin Eze Manzura Mohd ,   College of Computing and Informatics, Universiti TenagaNasional, Malaysia, Yusof Azmi Mohd ,   College of Computing and Informatics, Universiti TenagaNasional, Malaysia, Rusli Mohd Ezanee ,   College of Computing and Informatics, Universiti TenagaNasional, Malaysia
Published: November 2019

Given that stresshas affected many people and is becoming an important issue to address, the development of an application that can help people to relax and therefore reduce stress is becoming important. One of the solutions is the use of virtual reality (VR) in stress therapy. In this paper, we evaluate a virtual reality application developed for stress therapy, and highlighted the issues associated with such application. Based on the issues, we proposed a component framework which can be used to develop a VR application for stress therapy which provides holistic experience to the users.
An Exploratory Performance of Risks Factors for Pre-Implementation of ERP Project in Malaysia
Authors:   Department of Software Engineering and Information SystemFaculty of Computer Science and Information TechnologyUniversity Putra Malaysia, Wei* Kwang Su , Jabar Marzanah A. ,   Department of Software Engineering and Information SystemFaculty of Computer Science and Information TechnologyUniversity Putra Malaysia, Abdullah Rusli H. ,   Department of Software Engineering and Information SystemFaculty of Computer Science and Information TechnologyUniversity Putra Malaysia, Murad Masrah A. Azmi ,   Department of Software Engineering and Information SystemFaculty of Computer Science and Information TechnologyUniversity Putra Malaysia
Published: November 2019

An Enterprise resource planning (ERP) system is designed to improve operational efficiency by integrating business processes and providing better access to integrated data across the entire organization (Badewi et al., 2018).However, ERP systems are complex, risky to implement, and time consuming (Al-Sabri et al., 2018). Theaim of this paper isto identify the ERP riskemerge in pre-implementationof ERP system through the critical literature review and develop a risk model in order to create value for organization, user and vendor or consultant in managing the ERP project. This research studiescontributes to the literature on ERP risk factors by determining whether these risk factors areaffecting the pre-implementation ERP project success. From the effectiveness and usability perspective, this study will benefits IS management of the companies, system user, researchers, system provider, and ERP system consultant.
Performance of a Triple Cantilever Hybrid Energy Harvester (TCHEH) Based on the Triboelectric Surface Modification
Authors:   Department of Mechanical Engineering,Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia., Azwan* M K , Salleh H ,   Institute of Sustainable Energy, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia., Rao S ,   Institute of Sustainable Energy, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia.
Published: November 2019

The aim of this study is to characterise the performance of a Triple Cantilever Hybrid Energy Harvester (TCHEH) based on the triboelectric surface modification. The application is to harvest sufficient amount of power for low power sensor node. The whole system comprises of three separated generators being put together into one prototype with the design of triple cantilever beam. The triple cantilever consists of top and bottom triboelectric energy harvester (TEH) and middle section piezoelectric energy harvester (PEH). The top and bottom section is the Polytetrafluoroethylene (PTFE). The testing for TEH consists of pairing the highest negative charged material which is Polytetrafluoroethylene (PTFE) with few other positively charged materials. The best pair was used for further testing by modifying the triboelectricsurface in order to increase the power output. At the frequency of 13Hz and acceleration at 0.27gms-2, the ideal opened-circuit voltage, VOC produced for top TEHwas 2.23V and for the bottom TEHwas 2.24V, while for the PEHwas 9.27V. The final prototype of TCHEHproduced an optimum power of 7.29mW at a resistance of 9kΩ. The power density obtained from the prototype was7.36Wm-2 which enable the low power sensor node to power up.
Evaluating the Travel Demand using E-Bike on Campus
Authors:   College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia.Institute of Energy Infrastructures (IEI),Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia, Norhisham Shuhairy , Bakar Muhammad Fadhlullah Abu ,   College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia, Huri Amirul Hakim ,   College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia, Mohammad AniMunirah ,   College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia, Khalid Nor Hazwani Nor ,   College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia, Basri Hidayah ,   College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia, Mardi Nurul Hani ,   College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia, Zaini Nur’atiah ,   College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia
Published: November 2019

Nowadays, Malaysia is facing real problem on traffic issues such as traffic congestion, deficiency of land for parking space and increasing vehicle volume. Cycling is one of alternative approach of transportation to overcome traffic issues. This objective of this study is to forecast the travel demand using E-bike in University and comparison of carbon footprint reduces between E-bikes and motorize vehicle. UNITEN has launched a program called Electric Palled-Assisted Biked (EPAB) as topromotes the usage of E-Bikes as their main mode of transportation in UNITEN Putrajaya campus. All the travellingdata have been recording using Application Strava. The CO2 emission and fuel cost for those particular tripshave also addressed in these studies.The result found that 107.27 daily trips were generated by E-bikes in UNITEN Putrajaya campus. The study also found that 88 percent of CO2emission is reduced when substituting car with E-bikes. An astonishing 560.918kg of CO2 was prevented from releasing to the atmosphere. Cycling has been proven as one of alternative option in developed countries to reduce the vehicle volume on the road. Further studies on these topic is highly recommend by increasing the number of participant in future.
Read Range Performance of Microstrip Patch Reader Antenna for UHF RFID Applications
Authors:   Institute of Energy Infrastructure, University TenagaNasional43000 Kajang, Selangor, Malaysia, Norzeli* Syamimi Mohd , Din Norashidah Md ,   Institute of Energy Infrastructure, University TenagaNasional43000 Kajang, Selangor, Malaysia, Ismail Ismarani ,   Faculty of Electrical Engineering, Universiti Teknologi Mara 40000 Shah Alam, Selangor, Malaysia, Deros Siti Noratiqah Mohd ,   Institute of Energy Infrastructure, University TenagaNasional43000 Kajang, Selangor, Malaysia, Ali Mohd Tarmizi ,   Faculty of Electrical Engineering, Universiti Teknologi Mara 40000 Shah Alam, Selangor, Malaysia, Saravani Sobhan ,   Institute of Energy Infrastructure, University TenagaNasional43000 Kajang, Selangor, Malaysia
Published: November 2019

This study conducted to compare a read range performance of microstrip patch reader antenna for UHF Radio Frequency Identification (RFID) applications. The circularly polarized reader antenna described in this study are designed to be affixed the polarization mismatch problem between reader antenna and tag antenna. Two truncated at the corner of the ordinary rectangular patch antenna is designed for UHF band (919-923 MHz) which destined for Malaysian systems. Measured results show that the antenna with size of 115*115*1.6 mm have gain antenna of 5.3 dBi, satisfactory 3-dB axial-ratio and reading range of 2m. Read range measurement results of the reader antenna design and tags antenna with the reader are observed and analysed to validate the practical performance. The reader antenna design delivered in this study areappropriate to UHF RFID applications.
Attaining Sustainable Organization in an Era of Technology Disruption through Leadership and Strategic Decision Making: Mediating Role of Organizational Politics
Authors:   College of Graduate Studies, Universiti TenagaNasionalJalan IKRAM_UNITEN, 43000, Kajang, Selangor, Hanafi* Wan Noordiana Wan , Daud Salina ,   College of Business Management and Accounting, Universiti TenagaNasional, Sultan Haji Ahmad Shah Campus, 26700, Muadzam Shah, Pahang
Published: November 2019

In an environment of constant accelerating change, organizations need to ensure they continually invest in their internal capabilities. Upskilling staff, and ensuring the leadership style is adaptive and responsive to change is key to ensuring sustainability in the organization. This study aims to examine the effect of blue ocean leadership style on strategic decision making, mediates by organizational politic. The questionnaire was adopted from previous study and distributed to middle to top level manager in the Malaysian 20 largest Government Link Companies (GLCs). A stratified random sampling technique is adopted to ensure the sample represent the actual population. PLS-SEM was used to test the hypotheses. The findings of this study show that there is a partial mediating effect of organizational politics on the relationship of blue ocean leadership styles and strategic decision making. Organizational politics has its ambivalence, but it can be exploit by developing its proper understanding and political skill amongst leaders, which can be used for strategic decision making and implementation, to deliver an excellent and effective change.
Tensile Properties of Poly Lactic Acid (PLA)–Tungsten Trioxide (WO3) Nano Composites for 3D Printing Process
Authors:   Department of Mechanical Engineering, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia, Shaath M.L.M , Ansar M.N.M. ,   Institute of Power Engineering, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia, Atiqah A. ,   Institute of Power Engineering, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia, Uniten R&D Sdn. Bhd. Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia, Hamdan A. ,   Institute of Power Engineering, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia, Uniten R&D Sdn. Bhd. Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia
Published: November 2019

Poly Lactic Acid (PLA) is one of the most crucial aliphatic polyesters which is considered as one of the favourable options in environmentally friendly thermoplastic polymers since it could be biodegraded in certain conditions. PLA has been extensively used in the packaging, electronic industries, and household applications. As a result, the improvement of mechanical properties of PLA is necessary, which can be achieved through heat resistant materials such as Tungsten trioxide (WO3). The objective of this research was to investigate the tensile properties of PLA-WO3. The 3D printing process was employed to fabricate PLA-WO3 (3wt% WO3) and Neat PLA (control sample). The tensile test was conducted to investigate the effect of WO3 to the PLA. The results show that the tensile properties of PLA-WO3 were improved up to 75% as compared to Neat PLA. This result shows positive indication to the PLA-WO3 for many industrial applications.
Classification of Compressed Domain Images Utilizing Open VINO Inference Engine
Authors:   Department of Electronic and Electrical Engineering, University of Nottingham, Malaysia Campus Jalan Broga, 43500 Semenyih, Selangor D.E., Malaysia., Zhen Tan, Kelvin Sim , Borhanuddin Boezura ,   College of Graduate Studies, University Tenaga Nasional (UNITEN) 43000 Kajang, Selangor D.E., Malaysia., Wan Wong, Yee ,   Department of Electronic and Electrical Engineering, University of Nottingham, Malaysia Campus Jalan Broga, 43500 Semenyih, Selangor D.E., Malaysia., Min Ooi, Thomas Wei ,   Internet of Things Group Intel Technology Sdn. Bhd. Jalan Sultan Azlan Shah, Kawasan Perindustrian Bayan Lepas, 11900 Bayan Lepas, Pulau Penang, Malaysia., Ghee Khor, Jeen ,   Department of Electronic and Electrical Engineering, University of Nottingham, Malaysia Campus Jalan Broga, 43500 Semenyih, Selangor D.E., Malaysia.
Published: November 2019

This paper provides a platform to investigate and explore method of ‘partial decoding of JPEG images’ for image classification using Convolutional Neural Network (CNN). The inference is targeting to run on computer system with x86 CPU architecture. We aimed to improve the inference speed of classification by just using part of the compressed domain image information for prediction. We will extract and use the ‘Discrete Cosine Transform’ (DCT) coefficients from compressed domain images to train our models. The trained models are then converted into OpenVINO Intermediate Representation (IR) format for optimization. During inference stage, full decoding is not required as our model only need DCT coefficients which are presented in the process of image partial decoding. Our customized DCT model are able to achieve up to 90% validation and testing accuracy with great competence towards the conventional RGB model. We can also obtain up to 2x times inference speed boost while performing inference on CPU in compressed domain compared with spatial domain employing OpenVINO inference engine.
A Pragmatic Algorithm for Attack Prevention on Semantic Web Services
Authors:   Computer Applications, Integral University, Lucknow, India,, Nayak Sandeep Kumar , Singh Nagendra Kumar ,   Computer Applications, Integral University, Lucknow, India,
Published: November 2019

In this digital age, semantic Web services have emerged as services that are used in every field. Today various types of services like e-commerce, social networking, and online payment of various services, etc., are used by the user through the Semantic Web. The Semantic Web has emerged as a powerful medium for using online services. The use of semantic Web services greatly simplified the life of the common citizen. The database is used to hoard information related to various services provided by Semantic Web Services. It turns out to be indispensable that when a user communicates with the database then there should not be any interference in it. The expansion of semantic Web services led various assailants to start making various efforts to stop these services. The network assail for instance Man-in-middle or DoS assail has adverse effect on the performance of the Web service. This paper insinuates a principle server of ARP algorithm that uses IP-MAC trussing approach on the network to prevent Man-in-the-middle and DoS assail within a entreaty succumbed to the Web service. Aftermath revelations that after implementing the algorithms, the number of packet loss reduces drastically and enhancing the overall performance of Web service. The staple objective of this paper is how the services bestowed by the Web service can be protected from assailant.
Banking Technology Services Quality Gap between Public and Private Sector Banks
Authors:   Assistant Professor, Department of HR, Siva Sivani Institute of Management, Secunderabad, India,, Maheswari Dr.G.Uma
Published: November 2019

The key objective of the paper is to draw out the association between the quality of services rendered by banks and the satisfaction of the customer in public and private sector banks. To identify the gap of these two factors, gap analysis performed and the finding are disclosed. The study also aims at bringing out the most important attributes of the service quality that distinguish one bank from another. A comparative analysis was performed between the customers of public sector and private sector banks with the factor perceived quality. The SERVQUAL tool is the most effective tool to assess the service quality in banks all over the world. The survey adopted the five dimensions of the service quality (Tangibility, Responsibility, Reliability, Assurance and Empathy) to measure their effect on satisfaction of customer. The structured questionnaire was distributed to 420 customers of different public and private sector banks and preferred 418 completely filled questionnaires, analyzed the data and interpreted the results
Effectively Managing Universally Disseminated Virtual Team: Challenges and Mitigation Strategies
Authors:   MCA, MPhil, NET, MTech working as Assistant Professor in the Department of Computer Science, Dhanraj Baid Jain College ,Chennai, Tamilnadu, Bharathi Mrs. M. , Kumar Mr. A. Muthu ,   MTech ,working as a Consultant in Tata Consultancy Services, Chennai, Tamilnadu., Nisha Mrs. V. ,   MCA, MPhil, SLET, working as Assistant Professor in the Department of Computer Science,, Dhanraj Baid Jain College, Chennai, Tamilnadu., Rose Ms. G.Linda ,   MCA, MPhil, working as Assistant Professor in the Department of Computer Science,, Dhanraj Baid Jain College, Chennai, Tamilnadu., Prasanna Mrs.S.Jaya ,   MCA, MPhil , working as Assistant Professor in the Department of Computer Science,, Dhanraj Baid Jain College, Chennai, Tamilnadu.
Published: November 2019

Corporate Institutions, Bureaucracy, Health Department mostly all, dependent on teams which are scattered in various geographical locations, in which interface and association happens in dispersion through geographically-disseminated and culturally-distinct people. The teams may locate on different continents, but they are all organized by a single company and work for single goal. Even experienced team participation with technologies does not guarantee that the virtual team will reach the final product as expected. The finest technology even cannot function if suppose the virtually scattered people are not adapted for the challenges posed by functioning in different time zones and imperial boundaries. People working from Europe for a task and some other from USA need to communicate with people in United Arab Emirates, they may use experienced and easy Web-based system which includes version control, alert and information services while working on pieces of code. People may face challenges in knowledge sharing communication like joining in calls due to language obscurity, but the management definitely could share and allocate appropriate task to people in various places in email or through some other texting applications. The list of importance of Virtual team and how the challenges can be mitigated to achieve the expected goal with some technical assistance are described.
Hybridization of Electrical Discharge Machining Process
Authors:   PhD Scholar, Department of Mechanical Engineering, National Institute of Technical Teacher’s Training and Research (NITTTR), Chandigarh, India., Khan Mohd. Yunus , Rao P. Sudhakar ,   Assistant Professor, Department of Mechanical Engineering, National Institute of Technical Teacher’s Training and Research (NITTTR), Chandigarh, India.
Published: November 2019

This paper discusses the recent developments in the field of Electrical Discharge Machining (EDM) hybrid process. Spark machining is a universally recognised unconventional process, excluding the restriction of having low machining efficiency. To overcome this, various investigations have been made on designing of electrode, types of dielectric medium, variations in input parameters etc. Although material expulsion rate have been found to improve, nonetheless it cannot encounter the requirements of modern industries and the quality of surface is inferior. To increase further the utility of EDM, its hybridization with other process have to be carried out. A hybrid process can reduce the machining time while maintaining better surface and material expulsion rate. In hybrid process, the mechanism of two processes is applied concurrently or consecutively. Although, the performance of combined process is better as compared to the individual processes but hybridization increases the process complexity.
Groundwater Potential Zone Mapping using Geospatial Techniques in Walayar Watershed
Authors:   M. Sc., M. Tech., Ph.D.GIS and Remote Sensing Researcher, Coimbatore Tamil Nadu., Balakrishnan Dr. M.
Published: November 2019

The groundwater is the most important resources everywhere in the world and is decrease gradually. In construction, here is a need for separation of groundwater possible region. As the awareness and needs of the common people towards water is increasing the estimation of water is touched in all divisions. At the same time, surface water assets are getting to be insufficient to satisfy the water request. With the goal that systematic ordering of groundwater development using present-day system is important for the right management and use of this respected asset. Yet at the same time, groundwater assets have not yet been accurately damaged, keeping this in view, the current analysis have contained to outline the groundwater potential regions in Varattar river basin Tamilnadu & Kerala by using geospatial approach. The geospatial have turned out to be one of the substantial tools in the field of subsurface water study, which assistances in surveying, observing and monitoring groundwater capitals. Now to identify the groundwater possible region applied through various topical maps of geomorphology, streams, soil, land use/land cover and slope with IDW strategies. From the overall outcome, the groundwater investigation zone orderly into five classes called as very good, good, moderate, poor and very poor. This research to recommended that great potential zone of groundwater arise in the areas of south west north central part of study area in the Coimbatore and Palakkad districts. The result showed that converse distance weightage technique offers an effective tool for understanding groundwater possible regions for appropriate growth and management of water level resources in different hydrogeological surroundings.
Major Growth Factors of E-Commerce Industry in India
Authors:   Associate Professor, Anand International College of Engineering, Jaipur, Vyas Dr. Anand
Published: November 2019

E-commerce drivers begin by starting with one nation then migrating to the next. A few drivers found in some developed nations are not yet apparent in numerous emerging nations. Sometimes the drivers in a developed nation could be obstructions or less useful in different nations. A significant part of the development has happened in Asia. The region's well-organized economies especially in gathering are shown as beneficiaries of clients in making nations to get a handle on E-exchange frameworks. China's people of Internet clients is, beginning at now the world's third greatest and is becoming generously more quickly than India's. China's web usage may incite one more lift for that nation as E-exchange instruments for verifying, stock and store mastermind assignments are utilized to update capability for its enough astonishing undertakings. There are no dedicated E-exchange laws India. IT Act 2000 does not have any course of action for protecting the adolescents. The E-exchange industry is still in its basic stage in India. The essential E-exchange site was (www.fabmart.com) moved in 1999. It continued running for just twenty one years. In spite of the way that E-business industry strikes a gigantic improvement rate in India. Various factors expect a gigantic activity in it for instance business system, website collaboration, security features, portion structure, changing acquiring conduct, customer care support, cost ampleness, globalization, preparing update, economy, and fortifying and Internet advancement. Keywords : E-commerce , Growth factors, Online shopping, Industry
Pulsating STM – The in-memory Optimistic Concurrency Control Technique for Multi Core Systems
Authors:   Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow Campus, Lucknow(India), Jafar* Sana , Rajnish Ranjana ,   Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow Campus, Lucknow(India),, Kumar Pankaj ,   Department of Computer Science and Engineering, Sri Ram Swaroop College of Engineering and Management, Lucknow, India.
Published: November 2019

In the world of ever increasing parallelism, the problem of deadlock-free concurrency control is inevitable. As the number of processing cores is increasing, the number of processing threads is also increasing, and with this increase in the number of processing threads, there is a good chance of problems arising due to lack of proper concurrency control. The application areas under the domain of advanced graphics, cryptography, deep learning, embedded system programming, artificial intelligence and networking are prone to the problems of heavy uncontrolled concurrency of threads. This paper presents a novel Software Transactional Memory (STM) based optimistic concurrency control technique that is deadlock free for threads accessing the in-memory data structure for the purpose of reading as well as writing. The technique is lock free and is based upon timestamping. Threads involved in the proposed approach possess the transactional properties of atomicity, concurrency and isolation. Durability is not expected as the threads are working on an in-memory data source. The approach involves lazy conflict detection that ensures minimum aborts and restarts as well as maximum concurrency among transactions. Being lock free, the algorithm is better than the existing lock-based techniques. The technique is tested on Sniper-6.1 multi core simulator simulating 64 CPU cores and running 16, 32, 40 and 50 threads in our case. The results show significant improvement in throughput with the increasing number of threads over the existing lock-based techniques as well as other STM techniques based on optimistic concurrency control.
Exploring the Axiom of Excluded Middle and Axiom of Ontradiction in Fuzzy Sets
Authors:   Research scholar, Department of Mathematics, Koneru Lakshmaiah Education Foundation,Vaddeswaram, AP, India, Sailaja B. , Prasad VBVN ,   Professor, Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India
Published: November 2019

Fuzzy sets are considered as a fine extension of classical sets (crisp) in which the elements possess diverse degrees of membership functions. Zadeh is the initiator of fuzzy sets that predominantly deal with imprecision and vagueness. In this paper, the Law of Excluded middle and the Law of Contradiction were discussed in an exemplary mode. In addition to that the definitions of fuzzy sets, crisp sets and the various operations on them were presented in a consecutive manner.
Development and Porting Of Mathematical Model to Design a PixTra Algorithm for Detection of Brain Tumor
Authors:   Ph. D. Research Scholar, JJTU, Jhunjhunu, Rajasthan, 333001,India, Khalate Mr. Rahul , Basotia Dr.Vineeta ,   Assistant Professor, Department of Mathematics, JJTU University, Rajasthan, Ghule Dr.Dilip.B. ,   Assistant Professor, Department of Mathematics, ESD College Varvand, SPPU University, Pune
Published: November 2019

The goal of applied mathematics is to develop and implement the automated systems, services and support to execute engineering goals. Game theory is always a domain of choice for development of strategy to enhance the usability of mathematical applications. Today, there is rarely any system which works without keeping mathematics behind the curtain. A recent trend in medical imaging leads via mathematical algorithmic development for brain tumor analysis. The deep learning technology is a mathematical strategic solution to identify the brain tumor from medical resonance imaging. The game theory strategic development is necessary for mathematical modeling of image technologies as pixel level calculations are required. Hence, this paper shows the newly developed mathematical modeling for efficient brain tumor detection using game theory and set theory. This paper also suggests the new algorithm which is ported from mathematical modeling for deep learning brain tumor image processing.
A Torch Without Light: Low-Light Imaging for Mobile phones
Authors:   Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India., Bange Dipak , Gaikwad Abhishek ,   Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India., Gajare* Tejas ,   Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India, Khadse Aditya ,   Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India., Shinde Dr. Swati V. ,   Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India.
Published: November 2019

Photography used to be a hobby that required equipment such as a professional camera. Today, photography has evolved to be a daily activity conducted on an unprecedented scale due to the adoption of camera into smartphones. Mobile phone cameras are on the way to completely replace other forms of camera due to their portability and quality. Millions of images are captured on mobile devices across the globe. These images are clear and crisp. But all these images are captured in daylight. Images taken in low illumination essentially turn out to be too dark to be comprehensible. Research shows that current solutions to this problem work for dim to moderate light level but fail in extreme low light. There are certain problems involved with these techniques. Firstly, image denoising relies on image priors limiting the situations on what it will work on. Other deep learning techniques work on synthetic data and cannot be proficient on real data. Secondly, Low light image enhancement assumes that images already contain a good representation of scene content. This paper proposes to capture low illumination images and transform them to high quality images using end to end fully convolutional neural network trained on our data set of raw images shot in low aperture and their corresponding high aperture raw images. As an outcome, we will be able to transform images to high quality and identify objects.
Wear on Thermal &Plasma Spray Coated Al-2014 Alloy under Dry Sliding Conditions
Authors:   PG Student, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India, Arun A. , Sree K.Ramya ,   Assistant Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India, Subbiah Dr. Ram ,   Associate Professor, Mechanical Engg/ Chemistry Dept, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India, Saranya Dr.J. ,   Associate Professor, Mechanical Engg/ Chemistry Dept, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India, Sateesh Dr.N. ,   Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India
Published: November 2019

In this paper, wear are common problems encountered in the piston. Thermal spray coatings re one of numerous methods for alteration of part's surface properties. The innovation relies upon the standard of dissolving and speeding of fine particles and their quick cementing delayed consequence on the substrate. Among every one of the strategies of thermal spray coatings, High-Velocity Oxy-Fuel and Plasma spray procedure is broadly utilized in different applications. In this research, chemical powder with explicit properties against wear was chosen, and it was showered with high velocity oxygen fuel (HVOF) and plasma spray strategies onto Aluminium 2014 alloy substrates. Both the coatings have same binder with equivalent rate. The coatings were portrayals were done with the help of Scanning Electron Microscope, X-ray Diffractometer, and Pin-on-disc wear testing machine. A pin on disc machine was used to analyse the wear behaviour by applying 10N and 20N loads.
Experimental Characterization of Sandwich Radome for Airborne Applications
Authors:   Research Scholar, Department of Aerospace Engineering, Jain University, Bangalore, Scientist, Centre for Airborne Systems, DRDO, Bangalore, India., Ilavarasu S. , Niranjanappa Dr. A C ,   Scientist, Centre for Airborne Systems, DRDO, Bangalore, India, Narayana Dr. P A Aswatha ,   Visiting Professor, IIAEM, Jain University, Bangalore, India.
Published: November 2019

Radome is a structural weather proof enclosure that protects radar system from the environment. Radomes are manufactured using composite materials that have low dielectric constant and low loss tangent. The selected materials should have high mechanical strength to withstand aerodynamic and bird impact load conditions. Thus, the design of a radome is always a trade-off between electrical and structural requirements. In the present study, set of Uni-directional (UD) and Bi-directional (BD) glass fabric used as high density face sheet with low density foam ROHACELL 71 Hero grade and Nomex honeycomb as core materials are used to form sandwich radomes. These samples are tested for mechanical performance as per ASTM standards. The maximum load bearing capacity was found higher for the Nomex sandwich with UD face, by 27% than the Rohacell sandwich with UD Face sheet. Nomex sandwich with BD face sheet have higher compressive modulus among other three configurations. The bird impact simulation results show sandwich panel selected is capable of withstanding bird impact load at a velocity of 150 m/s. The measured antenna patterns with and without radome material for frequency range from 2.5 GHz to 4.5 GHz is also discussed.
Object Detection In Cluttered Background using Color Clusters
Authors:   Department of Electronics and Telecommunication Engineering ,Yeshwantrao Chavan College of Engineering , Nagpur, India., Gode Chetan S. , Khobragade Atish S. ,   Department of Electronics Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India.
Published: November 2019

Object detection in presence of complex background and illumination variation is important image analysis problem with many applications. Most of the object detection algorithms use local image descriptors which are computed from interest points based on luminance information and neglect precious color information of an object. If appearances of the object to be detected contain multiple colors in non-homogeneous distributions then it makes it difficult to detect these objects using shape features. In this context, we propose a robust algorithm designed to detect a class of objects using a descriptor which is computed from color information of an object. Clusters are formed in Hue and Saturation (HS) color space of an object using k-means clustering and cluster analysis based on number of pixels belong to each cluster, object detection is performed. Use of clustering algorithm in color space of an object to form descriptor reduces the large dimensionality of the histogram bins in the computation. The performance of the algorithm is demonstrated by experimentation carried out on standard dataset GroZi-120. Experimental results shows that the proposed algorithm is insensitive to scaling, object rotation, illumination variations and capable of handling cluttered background effectively. Finally results shows that proposed algorithm outperforms closely related algorithm by a decisive margin.
A Boosted Decision Tree Model for Predicting Loan Default in P2P Lending Communities
Authors:   Department of Computer Science North Dakota State University Fargo, USA, Akanmu Semiu A. , Gilal Abdul Rehman ,   Department of Computer Science Sukkur IBA University Sindh, Pakistan
Published: November 2019

Loan Default Prediction For Social Lending Is An Emerging Area Of Research In Predictive Analytics. The Need For Large Amount Of Data And Few Available Studies In The Current Loan Default Prediction Models For Social Lending Suggest That Other Viable And Easily Implementable Models Should Be Investigated And Developed. In View Of This, This Study Developed A Data Mining Model For Predicting Loan Default Among Social Lending Patrons, Specifically The Small Business Owners, Using Boosted Decision Tree Model. The United States Small Business Administration (Usba) Publicly-Available Loan Administration Dataset Of 27 Features And 899164 Data Instances Was Used In 80:20 Ratios For The Training And Testing Of The Model. 16 Data Features Were Finally Used As Predictors After Data Cleaning And Feature Engineering. The Gradient Boosting Decision Tree Classifier Recorded 99% Accuracy Compared To The Basic Decision Tree Classifier Of 98%. The Model Is Further Evaluated With (A) Receiver Operating Characteristics (Roc) And Area Under Curve (Auc), (B) Cumulative Accuracy Profile (Cap), And (C) Cumulative Accuracy Profile (Cap) Under Auc. Each Of These Model Performance Evaluation Metrics, Especially Roc-Auc, Showed The Relationship Between The True Positives And False Positives That Implies The Model Is A Good Fit.
Design of Vehicle License Monitoring System to Control Theft by using IOT
Authors:   AP, EEE, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College,Chennai, TN,India, S Akila. , Joseph Dr.Deepthi ,   AP, EEE, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College,Chennai, TN,India, K Vidya. ,   AP, EEE, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College,Chennai, TN,India, Annapoorani  ,   AP, EEE, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College,Chennai, TN,India, Saravanan Ananatha ,   AP, EEE, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College,Chennai, TN,India
Published: November 2019

Smart transportation for urban cities can be done using Internet of Things (IOT). An automated object detection algorithm is used to identify the vehicle by using VLPR system. Identification of vehicle in heavy traffic or in parking lots is difficult and hence we propose a system by using RFID tags where the vehicle movement and vehicle license plate number can be obtained accurately. So by using IOT we can access the data from anywhere and the vehicle movement can be identified. Instead of using digital camera where due to external disturbance the images gets blurred, so we go for RFID where due to radio frequency transmission they stores the data. The performance of the device will not get degraded due to shadow noise, thunders and due to heavy speed. The main aim of proposed system is to check the vehicles license number and drivers vehicle license and to verify the vehicles RC book renewal.
Solar Power-Driven Unmanned Vehicle with Utility Sensor
Authors:   Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai, India., Thentral T.M. Thamizh , Geetha A. ,   Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai, India., Usha S. ,   Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai, India., Subramani C. ,   Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai, India., Ramanathan T.R.B. ,   Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai, India.
Published: November 2019

Anti-social elements in the global environment are challenging the society with their destructive activities. Mobile land vehicle robots are becoming a crucial player in National security, search and rescue operations, surveillance networks, border security forces. In order to reduce the chances of danger towards human lives, a land vehicle robot is designed to detect an anomaly that may rise up as a potential threat on the earthly surface surveyed powered via a PV channel. This robot can penetrate the no-man’s area with great precision so as to spot the mines, bombs, missiles, explosives and threats on land. Improvement in border security leads to enhancement of high precision sensors generating an extensive stream of data and databases. The intent of this research is to adjunct the robot with human intelligence that can assist in real-time decision making from the stream of data.
Dynamic Analysis of Telecommunication Tower for Optimum Modal Combination and Elemental Discretization
Authors:   Under Graduate Student, Department of Civil Engineering, Dr. B. C. Roy Engineering College, Durgapur, India,, Chandra Trishit , Sengupta Sanjay ,   Assistant Professor, Department of Civil Engineering, Dr. B. C. Roy Engineering College, Durgapur, India,
Published: November 2019

Over the past 35 years, the growing demand for wireless and broadcast communication has spurred a dramatic increase in steel telecommunication tower construction and maintenance. Failure of such structures due to severe earthquakes is a major concern. The Indian code suggests the detailed static and dynamic analysis provisions that are to be followed for lumped mass systems like buildings. In case of continuous structures the code only suggests the static analysis provisions in details. But, due to the lack of detailed Indian codal provisions for dynamic analysis of telecommunication tower, a comparative study using response spectrum method is being carried out with the help of suitable software for different ground level conditions in case of India. According to the theoretical approach of any structural dynamics problem, the structures without lumped mass system is considered as continuous system which is further idealized as a series of small elemental segments. Furthermore, the structural analysis of these elemental segments using the concept of Finite Element Method (FEM) is being carried out with the help of the mentioned software and the results of natural frequencies, time periods of the structure are compared to obtain the optimum number of elemental discretization along with the optimum method of modal combination.
Diabetic Detection using Tongue Images Based on ANNCl Assification
Authors:   Computer Science, Research Scholar, Bharath Institute of Higher Education and Research, Chennai, India., Srividhya E. , Kumaravel Dr.A.Muthu ,   Dean, Faculty of Arts and Science, Bharath Institute of Higher Education and Research, Chennai, India.
Published: November 2019

In this work, we proposed an automatic technique to research and detect and examine diabetes through the usage of tongue pix analysis based on Artificial Neural Network (ANN) classifier. There is a sturdy association in between the characteristics of tongue and human health analysis. ANN with a few unique features is used to establish a dating among diseases like diabetes and traits of tongue. Features like Area, Perimeter, Width, Length, Smaller 1/2-distance, Circle Area and Square Area were measured for each tongue. Apart from these Gabor texture features, Hough shape capabilities and color capabilities also extracted. Tongue segmentation is carried out by using the use of vicinity of hobby with shade segmentation. Edge features also extracted the usage of canny facet detection. To compare the overall performance of our proposed approach, we behavior experiments on tongue datasets, wherein ANN technique is applied to classify tongue photographs. The proposed approach is compared with SVM classifier. As the experiment’s consequences proven, our proposed method improves the type accuracy by means of 4.99% on common and achieves 99. Ninety-nine% charter category accuracy.
Design of scaffold with controlled internal architecture using Fused Deposition Modeling (
Authors:   Department of mechanical engineering, SRM Institute of Science and technology, Kattankulathur, Kancheepuram, 603203. India, Karuppudaiyan* S. , Singh D. Kingsly Jeba ,   Department of Mechanical Engineering, SRM Institute of Science and technology, Kattankulathur, Kancheepuram, 603203. India.
Published: November 2019

In bone tissue engineering, scaffolds play a vital role in regeneration of tissue. It acts as a template for cell interaction and formation of extracellular matrix to provide structural support to newly formed bone tissues. The scaffold design and manufacturing with additive manufacturing method are still challenging. The parameters of scaffold structure are pore size, pore interconnectivity, porosity, and surface area to volume ratio, strength and stiffness of the material. Among these, porosity is directly influencing stiffness and strength of the structure. Higher porosity can accommodate more number of tissues and interconnected pore allow uniform distribution of cells in the scaffold structure. The objective of this work is to develop scaffold structures with controlled internal architecture using FDM and evaluate the percentage variation in compressive strength and structural modulus of scaffold structures. The internal architecture is controlled by porosity and pore size of scaffold with custom defined tool path of FDM system in pre-processing software. In this work, using the custom defined tool path with minimum slice thickness, the scaffold developed are found with maximum porosity of 82.7% and compressive strength varied from 1.76 MPa to 9.34 MPa and structural modulus of scaffold varied from 52.2 MPa to 212.MPa. These results showed that FDM process is suitable for tissue engineering applications. The material used in this study is ABS, which is biocompatible.