bluuebunny/crossref_metadata_2025 huggingface dataset:
Multi-Protocol Gateway System for Heterogeneous Network on Internet of Things
Authors:   Department of Electrical Engineering, Universitas Indonesia, Depok, Indonesia., Hanggoro* Delphi , Hussaini W Jauzak ,   Department of Electrical Engineering, Universitas Indonesia, Depok, Indonesia., Jonathan  ,   Department of Electrical Engineering, Universitas Indonesia, Depok, Indonesia., Rosyidi Lukman ,   Department of Electrical Engineering, Universitas Indonesia, Depok, Indonesia., Sari* Riri Fitri ,   Department of Electrical Engineering, Universitas Indonesia, Depok, Indonesia.
Published: February 2020

One of the main problems on the Internet of Things is heterogeneity. One of them is diversity in communication protocols. Generally, we will need one gateway for each existing protocol which causes inefficient communication networks. With these problems, we propose to build a hybrid network infrastructure using the Multi-Protocol Gateway system, this allows existing gateways to accept more than one protocol. This system is divided into two parts, hardware and software. For hardware systems, we use a single board processor equipped with the necessary transceiver modules. Our software system uses Python scripts to manage all backend processes, MySQL as data storage, PHP as a web server and Progressive Web Application (PWA) web application so that all devices get the same experience. We also provide a dashboard on the gateway to show and ensure that all data from different protocols can be received simultaneously in real-time. As a result, the gateway we developed can receive all data from four different protocols. We also evaluate the performance of the gateway by testing hardware capabilities by measuring the transmit time and Packet Delivery Ratio (PDR). The result shows that all communication protocols show compliance with existing hardware specifications. In addition, we also test the load time performance of the PWA service and compare it to non-PWA. The load time on PWA is smaller than that of non-PWA, due to the fact that PWA has offline capabilities that can store caches temporarily so that the next load time will be lighter. Using hybrid network infrastructure with Multi-Protocol Gateway is the answer to the problem of the diversity of protocols that we often find in the implementation of IoT such as smart building, smart city and other smart environments, with the existence of this Multi-Protocol Gateway can make communication services in the IoT structure to be more efficient.
Behavior and Performance of Natural Coagulants in Polluted Water
Authors:   Assistant Professor, Department of Civil Engineering, R.M.K. Engineering College, Kavaraipettai, Tamilnadu, India., Faizuneesa* A. , Kanniyappan S.P. ,   Assistant Professor, Department of Civil Engineering, R.M.K. Engineering College, Kavaraipettai, Tamilnadu, India., Saranya S. ,   Assistant Professor, Department of Civil Engineering, R.M.K. Engineering College, Kavaraipettai, Tamilnadu, India.
Published: February 2020

In this project, Polluted water sample from a Pond is collected for treating it by using Natural Coagulants. The pond is located in Madarpakkam Village, near Gummudipoondi, Tamilnadu, India. There were 4 water samples collected from four different points around the pond at depth of 0.5m, 1m, 1.5m and 2m. The water samples were analyzed for physical and chemical parameters with reference to the code IS 10500-1991. The objective of this project is to reduce the level of turbidity and bacteriological contaminants from water using locally available Natural Coagulants and to reduce the concentration of particular matter such as suspended particles, parasites, bacteria, algae, virus and fungi and to make use of the treated water for domestic purpose, as it reduces cost about 30% to 70%, the usage of these Natural coagulants will be more in future. It is nontoxic and non-corrosive. So, it is safe for human health. The usage of Natural coagulants can be increased in future as it increases the Water quality.
Research Aspects for Methodology Design
Authors:   Faculty of Mechanical Engineering, University of Lahore, Lahore, Pakistan., Rafique* Muhammad Zeeshan , Amjad Muhammad Saad ,   Faculty of Mechanical Engineering, University of Lahore, Lahore, Pakistan., Rahman Mohd Nizam Ab ,   Centre for Materials Engineering and Smart Manufacturing Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Selangor, Malaysia., Zaheer Mansoor Ali ,   Department of Mechanical Engineering, The University of Sargodha,, Sargodha, Pakistan, Haider Syed Mustafa ,   Department of Mechanical Engineering, Faculty of Engineering & Technology, University of Lahore, Lahore, Pakistan
Published: February 2020

The selection of suitable methodology for conducting pertinent and meticulous research work is of paramount importance, in which the research logics should be given a great amount of consideration. In this context, it is imperative to have a consolidated study that discusses the pros and cons of various research logics and the purposes they carry. Through a structured literature review approach, the authors have filled this gap by discussing the importance of various research approaches, research logics and have drawn conclusion from the relevant literature that each approach and logic is suited to a specific scenario. It can be said that the mixed mode research method is the most suitable research method when it comes to conduction of organizational level research works where the focus is the improve the performance as well as gauge the narrative established among the members/employees of the organization. In manufacturing or supply chain excellent, mixed mode methods can yield excellent results based on their holistic nature. However, the complexity of this research methodology can be catered with modern research management tools, such as K-Chart. The research work will provide clarity to academicians regarding the selection of most suitable approach for designing a methodology.
Characterization of Defect for Magnetic Flux Leakage in Non-Destructive Test using I-Kaztm
Authors:   Industrial Automation and Control, Department of Electrical Engineering, German Malaysian Institute, Bangi, Malaysia., Sharif * Nor Afandi , Ramli Rizauddin ,   Centre for Materials Engineering and Smart Manufacturing (MERCU), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia., Nuawi Mohd Zaki ,   Centre for Integrated Design for Advanced Mechanical System (PRISMA), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Ahmad Khairulbadri ,   Industrial Automation and Control, Department of Electrical Engineering, German Malaysian Institute, Bangi, Malaysia
Published: February 2020

The application of hall sensors in Magnetitic Flux Leakage (MFL) has played an important role in Above Storage Tank (AST) on detection of defect caused by corrosion to improve productivity and to avoid catastrophe. The MFL sensor measured magnetic flux distribution in three axes Bx, By and Bz. Currently, there are several signal monitoring methods constructed by analysing MFL signal distribution upon defect detection. This paper presents the methodology of optimized Integrated Kurtosis-based Algorithm for Z-filter (I-KazTM) Coefficient using multilevel signal decomposition technique to analyse the MFL signal distribution on the defect in the correlation of MFL scanning device speed and position. The MFL scanning device comprises 11 hall effect sensors position in array coupled with a linear guide to ensuring a constant velocity of scanning. In order to obtain an optimum signal distribution, I-KazTM 3D is proposed as one of the derivatives of I-KazTM to analyse multiple velocities of scanning. The characterization of the defect can be estimated by analysing the deflection of magnetic flux leakage in the y-axis, By as the scanner approach the defect region before being analysed by I-KazTM from the beginning until the end of the workpiece.
Adaptive Array Design using Least Mean Square Algorithm
Authors:   Department of Electronics and Telecommunication Engineering, PES's Modern College of Engineering, SPP University, Pune, India., Kodgirwar* Vidya P. , Deosarkar Shankar B. ,   Department of Electronics and Telecommunication Engineering, Dr.Babasaheb Ambedkar Technological University, Lonere, Raigad, India., Joshi Kalyani R. ,   Department of Electronics and Telecommunication Engineering, PES's Modern College of Engineering, SPP University, Pune, India., Vyavahare Arati J. ,   Department of Electronics and Telecommunication Engineering, PES's Modern College of Engineering, SPP University, Pune, India.
Published: February 2020

This paper presents the designing and testing of an 8-element linear array for Adaptive Antenna applications using the Least Mean Square (LMS) algorithm towards improving the directive gain of the array. A conventional patch antenna is optimized to operate at 2.35 GHz (4G applications) and this design is extended up to 8 elements using CST Microwave Studio parameterization. The S-parameters, Return Loss, Gain and VSWR of the antenna array are studied for the 2, 4, and 8 elements adaptive array. The simulation results are validated on the hardware setup and found closely matching with the experimental results. The resulting eight-element antenna array geometry is optimized with a coaxial feeding technique. This geometry appears promising in improving the gain from 6.13 to 23.5 dBi for a single element to eight elements respectively. Further, the LMS algorithm is used to compute the optimal complex weights considering different angles for desired User (60o and 30o) and Interferer (10o and 15o) during MATLAB simulation and then these optimal weights are fed to antenna elements using CST for beam steering in a different direction. Maximas are obtained at 54o and 28o when nulls are at 10o and 15o using CST software which is closely matching with MATLAB results.
Enhancement of Fracture Properties of Composite Laminate with Si C Additive
Authors:   Department of Mechanical Engineering, Sree Chitra Thirunal College of Engineering (SCTCE), Thiruvananthapuram, India., U Abhijith , Kumar R* Ramesh ,   Professor and Nodal Research Officer, SCTCE, Thiruvananthapuram, India
Published: February 2020

ASTM standards for short beam test, double cantilever beam and end notched specimen test are followed to compare control specimen with different percentage of Si C test data. Present study shows interlaminar shear strength (ILSS) and delamination fracture toughness values of multilayered composite laminate can be enhanced considerably with the use of Si C admixture in epoxy resin system as nonpolar elements compatible with to polar glass fiber. With respect to control specimen one percentage by weight of Si C w.r.t resin can bring up the ILSS value by as much 70% while the DCB test data on the critical energy release rate of mode I increases by 85% and mode II toughness value becomes double for 1% by weight of Si C. The bidirectional cloth provides more resistance for mode-I delamination fracture toughness when compared to UDL reported in literature and hence for higher fracture properties. The study is useful for design of rocket nozzles and input required for the cohesive zone model to assess the residual strength of composite structures with of delamination.
Design of an Optimal Distributed Energy Efficient Hybrid Optical – Acoustic Cluster Based Routing Protocol (EEHCRP) to Minimize the Energy Consumption in Underwater Wireless Sensor Networks
Authors:   Research Scholar, Department of Computer Science and Engineering, GSSSIETW, Mysuru, affiliated to VTU Belagavi, India., Murgod* Tejaswini R , Sundaram S Meenakshi ,   Professor and HOD, Department of Computer Science and Engineering, GSSSIETW, Mysuru, affiliated to VTU Belagavi , India.
Published: February 2020

For ocean exploration high speed data transmission is the emergent requirement. Acoustic sensor networks are available to support large distances but with lower data rates and also consume maximum energy. Optical networks can be used to support high speed data transmission but it cannot be used for larger distances. Underwater Wireless Sensor Networks (UWSN) suffer from large propagation delay, high bit error rates, limited bandwidth, uncontrolled node mobility, water current and limited resources. Hence there is an evolving requirement for design and use of an efficient routing protocol. In the proposed research, design of an Optimal Distributed Energy Efficient Hybrid Optical - Acoustic Cluster Based Routing Protocol (EEHCRP) to minimize the energy consumption in Underwater Wireless Sensor Networks is considered. To overcome these problems we propose an Energy Efficient Hybrid Optical-Acoustic Cluster Based Routing Protocol for Underwater Wireless Sensor Network (EEHCRP). In this research work we study various network parameters like network throughput, network life time, average energy consumption, end to end delay and data delivery ratio for mobile nodes ranging from 50 to 500. It is observed that there is an average increase of 0.9% network throughput in the proposed EEHRCP protocol compared to CBE2R protocol. The network life time is increased to 51.2 seconds with a decrease in 0.93% of energy consumption and 0.48 % decrease in end to end delay in the proposed protocol EEHRCP compared to CBE2R protocol. There is an increase in 0.95% of data delivery ratio using the proposed EEHRCP protocol compared to E-CBCCP protocol.
Impact of DG Integration in Distribution System on Voltage Stability and Loss Reduction for Different Loading Conditions
Authors:   Research Scholar,Electrical & Electronics Engineering department, SDMCET Dharwad, Visvesvaraya Technological University, Belgaum.,Karnataka, India., S. J.* Rudresha , Ankaliki Dr. Shekhappa G. ,   Electrical & Electronics Engineering department, SDMCET, Dharwad, VTU, India., Ananthapadmanabha Dr. T. ,   Electrical and Electronics Engineering department, NIEIT, Mysuru, VTU,India.
Published: February 2020

One of the modern and important techniques in the electrical distribution systems is to solve the networks problems service availability, high loss, improve system voltage and reliability, these can be resolved by accommodating small scaled de-centralized generating stations in networks, which is known as Distributed Generation (DG).Distributed generation (DG) units placed at the consumer end will minimize electric power losses, improvexreliabilityyand voltage profile in the system. This paper, presents a method to determine the proper size and location of DG in a distribution system to reduce the losses and improve the voltage stability for different loading conditions. The IEEE 33-Bus system is used to simulate in Power WorldsSimulator (PWS) software and theevoltage profile and losses in the system are analyzed. The Simulated result shows that proper placement and sizing of DG will reduce losses in the system and improve voltage profile within the allowable limit and there by improve the voltage stability.
Acoustic Emission Behavior of Tropical Residual Soil
Authors:   Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, 43000 Kajang Selangor, Malaysia., Xian Lim Jun , Yah* Chong Siaw ,   Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, 43000 Kajang Selangor, Malaysia., Tanaka Yasuo ,   Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, 43000 Kajang Selangor, Malaysia., Hui Ong Ying ,   Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, 43000 Kajang Selangor, Malaysia.
Published: February 2020

emission technique has extensively been used for a wide variety of engineering materials, but less attention has yet been paid on the application of this non-destructive technique to investigate the fundamental behaviors of geomaterial. In the present study, acoustic emission method was adopted in conjunction with the conventional stress-strain-time measurement to investigate the mechanical behaviors of a selected tropical residual soil. A systematic acoustic emission instrumentation setup, which was devised in a monotonic triaxial shear apparatus, was evidenced to provide reasonable experimental results. From the isotropic consolidation results, it was realized that the Kaiser’s effect was observable and the pre-stressed level as induced by compaction could be determined through acoustic emission. In undrained shearing, the acoustic emission response was found to be corresponding with the axial strain measurement. Initial soil yielding, which was mobilized at small strain range, was also able to be determined. The acoustic emission response of the studied tropical residual soil also showed good similarity with the reported soils constituting considerable fines content.
Development of Unmanned Aerial Vehicle by Graphene Based Polymer Matrix Composites
Authors:   Assistant Professor in MVJ College of Engineering, Bangalore, Karnataka, India., Kumar R* Vijaya , Maharana S K ,   professor and Head of Aeronautical Engineering, Acharya Institute of Technology
Published: February 2020

The polymer composite laminate of epoxy resin systems and graphene oxide reinforced with glass fiber has been fabricated by hand layup method. The fabricated laminate is further cut into test specimens as per ASTM standards and tested for their strength and stiffness. As per the experimental studies the strength to weight ratio is increased. An attempt has also been made to observe how the different volume addition (1.5%, 3%, 4.5% and 6%) of GO to Epoxy matrix has affected the tensile strength , Young’s modulus and % elongation of the laminate made of composite. A comparison of strength has also been mentioned when GO, a wonderful filler material, is added to epoxy and GO is not added to it. The outcome of the experimental characterization of the composites has encouraged further to choose Epoxy/GO (1.5% in volume) towards fabricating a simplified version of UAV. Laminate code EPWM12, an Epoxy/GO woven mat 12-layer composite, has the satisfying peak load carrying capacity as well as three-point flexural strength as opposed to other four materials considered in this study. The Monte Carlo simulation showed that likelihood of EPWM12 material being safe for UAV is 96%.
Efficient Synergetic Filtering in Big Dataset using Neural Network Technique
Authors:   Department of Computer Science, School of Computing, Sri Ramakrishna College of Arts and Science (Autonomous), Coimbatore, India., Mukunthan* B. , Das L.Jai Singh ,   Department of Computer Science, Scott Christian College (Autonomous),Nagercoil, India,, Renjeni P.S. ,   Department of Computer Science, V.T.M College of Arts and Science, Arumanai,India., Selvi K. ,   Government Arts and Science College, Department of Computer Science, Orathanadu, India, Kumar C.Ranjith ,   Department of Computer Science, School of Computing, Sri Ramakrishna College of Arts and Science (Autonomous), Coimbatore, India
Published: February 2020

Presently, great accomplishment on speech-recognition, computer-vision and natural-language processing has been achieved by deep-neural networks. To tackle the major trouble in synergetic or collaborative -filtering on the idea of hidden feedback; in this task we concentrated intensively on the techniques based on neural networks. Although a few latest researches have employed deep learning, they mostly used it to sculpt auxiliary facts, along with textual metaphors of objects and acoustic capabilities of music’s. When it involves the major aspect in synergetic filtering; the communication between customer and object capabilities, still resorted to matrix factorization and implemented a core product on the hidden capabilities of customers and objects. We present a popular framework named Artificial Neural Synergetic Filtering (ANSF) to substitute the core makeup with a neural design which could be very efficient to analyze a data with a random feature. ANSF is ordinary and might specific; popularize matrix-factorization beneath its frame work. To improvise ANSF modeling with non-linearity’s we propose to leverage a multi-layer perceptron to investigate customer–object communication function. In-depth experiments on actual-global databases display big improvisation of our proposed ANSF over the latest techniques. Investigational results manifest that the application of core layers of artificial neural networks gives improvised overall performance.
An Effective Energy and Robust Routing Methods for Air Pollution Data Monitoring in WSN
Authors:   Department of computer science engineering, Punjabi University, Patiala, Punjab, City, India., Dixit* Ekta , Jindal Dr. Vandana ,   Post Graduate Department of Computer Science, D.A.V College, Bathinda, India.
Published: February 2020

The world is facing major challenges due to the progress in technology. Usually, science has also both advantages and disadvantages. The emerged technology creates environment monitoring systems that assisted for the detection and verification of harmful objects. The automatic system is also being cause of pollution in several ways. So, the requirements have been increased to introduce a system to control the pollution. AP (Air pollution) is one of the most pivotal issues that is affecting the living souls. The wireless sensor networks have found a great application in the area of air quality monitoring. In simple terms, a WN (wireless network) is a collection of sensor nodes that communicate by radio signals or waves and detects crucial data which is used to detect the pollutants from the air. WSN routing protocols are specifically accessed for this purpose, such as EEUC, LEACH, DESCA and so on. In this paper, the focus is to bring forth the basic concepts of air pollution detection and some relevant data mining techniques that helped to make a successful air pollution detection system. In this paper, define an artificial intelligence field-based energy-efficient and novel protocol method for the network called Energy-Efficient and Robust Routing Method for air pollution monitoring in WSNs. In this method, sensor network is trained a large database comprising almost all scenes to create the system more efficient, reliable and effective in the atmosphere. In this method, works to increase the lifespan of the network and improve the energy consumption parameter. In experimental result shows that it output ELDC and some other routing protocols such as LEACH and E-LEACH etc.
Dual-Band Quarter Mode SIW Cavity Back Slot Antenna
Authors:   Research scholar, Department of Electronics and Communication Engineering, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India., Dokuparthi* Jagadeesh , Alapati Sudhakar ,   Department of Electronics and Communication Engineering, R.V.R & J.C College of Engineering, Guntur, Andhra Pradesh, India
Published: February 2020

A miniaturized quadrant slot antenna backed by the cavity using QMSIW technique is developed for dual-frequency applications. The design process is begun with FMSIW circular cavity which has been cut along magnetic wall twice to get quadrant sector of a circular cavity that is said to be a QMSIW cavity. The QMSIW cavity excited in TM210 and TM020 modes is loaded by quadrant slot which helps to decrease the resonant frequencies. The CST microwave studio is used to study the operating mechanism of various modes in the cavity. The antenna has been fabricated and measured the S11 and principle pattern and also compared with simulated results. The experimental results prove that the antenna S11 in dB is low at dual-frequency. One of the resonant frequencies is at 8.05 GHz and other 9.95 GHz with peak gains are around 6.25 dBi and 6.45 dBi respectively.
Development of Deeper Learning Cycle-Project Based Learning Model Based on Resource Sharing in Artificial Neural Network Courses
Authors:   Engineering Faculty of Postgraduate Program Technology and Technical Education of Doctoral Program State University of Padang., Sitorus* Zulham , Ganefri  ,   Engineering Faculty of Postgraduate Program Technology and Technical Education of Doctoral Program State University of Padang., Refdinal  ,   Engineering Faculty of Postgraduate Program Technology and Technical Education of Doctoral Program State University of Padang
Published: February 2020

The aim of this study was to determine the development of Deeper Sharing Learning Cycle-PjBL model based on Resource Sharing in the application of information literacy to prepare the learning process and find out how students' learning abilities. Deeper Learning Cycle-PjBL Model based on Resource Sharing consists of Resource Sharing applications, model books, teaching module books, learning tools, the use of lecturer applications and the use of valid, practical and effective student applications. The method used in this research is the Borg and Gall research and development model with 10 stages which are then simplified into 5 stages of development. The validity of the model is analyzed using Aiken'V while the practicality of the practicality of the model is measured by the user. The effectiveness of the model is measured by using the model and measuring learning outcomes. Respondents were used in the experimental class and control class with 33 students and were analyzed by t-test. Research in the development of the model through scientific studies, and analysis is done by testing the Confirmatory Factor Analysis using the Lisrel application. The results of the construct test on the syntax after testing meet the criteria for goodness-of-fit-models with the value P.Value = 0.54750, while for the RSMEA value = 0.000, thus for the value of x2 / df ≤ 2, thus the Deeper Learning Cycle-PjBL Model is based Resource Sharing is declared valid.
DHCFL: Dual Head Clustering Based On Fuzzy Logic for Wireless Sensor Networks
Authors:   Department of CSE, SRM Institute of Science and Technology, Chennai, India, B* Baranidharan
Published: February 2020

Wireless Sensor Networks (WSN) are constructed by interconnecting miniature sensor nodes for monitoring the environment uninterrupted. These miniature nodes are having the sensing, processing and communication capability in a smaller scale powered by a battery unit. Proper energy conservation is required for the entire system. Clustering mechanism in WSN advances the lifetime and stability in the network. It achieves data aggregation and reduces the number of data transmission to the Base station (BS). But the Cluster Head (CH) nodes are affected by rapid energy depletion problem due to overload. A CH node spends its energy for receiving data from its member nodes, aggregation and transmission to the BS. In CH election, multiple overlapping factors makes it difficult and inefficient which costs the lifetime of the network. In recent years, Fuzzy Logic is widely used for CH election mechanism for WSN. But the underlying problem of the CHs node continues. In this research work, a new clustering algorithm DHCFL is proposed which elects two CHs for a cluster which shares the load of a conventional CH node. Data reception and aggregation will be done by CH aggregator (CH-A) node and data transmission to the BS will be carried over by CH relay (CH-R) node. Both CH-A and CH-R nodes are elected through fuzzy logic which addresses the uncertainty in the network too. The proposed algorithm DHCFL is compared and tested in different network scenarios with existing clustering algorithms and it is observed that DHCFL outperforms other algorithms in all the network scenarios
Crowd Analysis System for Images of CCTV Camera
Authors:   PhD Scholar, Kalinga University, Naya Raipur, Bansod* Vishakha L. ,   India., Ambhaikar Dr. Asha ,   Professor and Dean Student welfare, Kalinga University, Naya Raipur;India
Published: February 2020

It is important to monitor and analyze the crowd for peaceful event organization and minimum number of persons killed or injured in a stampede, war or accident in public or religious places. Ultimately, crowd management strategies should be adopted for crowd safety. Detecting the abnormal crowd behaviour is the interesting research area. Traditionally to monitor the crowd closed circuit television is used. Video analyses are used in many application areas. This work is a paper of traditional approach and is a study of different attributes of crowd which include crowd counting and estimation of density, detection of crowd motion. It also presents the study about behaviour understanding of crowd and crowd tracking. We have also presents crowd analysis using different deep learning methods. This paper showed results of crowd analysis using convolutional neural network and different recurrent neural network training model.
Agricultural Water Irrigation using Decision Support System and IoT
Authors:   Assistant Professor, AMET University, Chennai India., Shankar* Mr.B.Prabhu , Jayavadivel Dr.R. ,   Associate Professor, Vivekanadha College of Engineering for Women, Namakkal. India.
Published: February 2020

Food production plays an important role in a country; this food production depends on two factors: weather and water, the proper use of both can achieve high yields. The more production is difficult to achieve in manual irrigation. In this proposed system, we are using automates irrigation system to reduce water wastage in irrigation system. This technology can be used low water resource. The endorse approach is to implement precision farming via the IoT, Mobile and Decision Support System (DSS),which increases the yield of plants while enhancing water use.
Aspect Based Sentiments from Tweets using Co-Ranking Multi-Modal Natural Language Processing Methodologies
Authors:   Research Scholar, Hindustan Institute of Technology & Science, Chennai, India,, Kanipriya* M. , Krishnaveni R. ,   Professor, Hindustan Institute of Technology & Science, Chennai, India, Krishnamurthy M. ,   Professor, K.C.G College of Technology, Chennai, India, Bairavel S. ,   Assistant Professor, K.C.G College of Technology, Chennai, India
Published: February 2020

Now-a-days people interest to spend their time in social sites especially twitters to post lot of tweets in every day. The posted tweets are used by many users to get the knowledge about the particular applications, products and other search engine queries. With the help of the posted tweets, their emotions and sentiments are derived which are used to get opinion about particular event. Lot of traditional sentiment detection system that has been developed but they failed to analyze huge volume of tweets and online contents with temporal patterns were also difficult to analyze. To overcome the above issues, the co-ranking multi-modal natural language processing based sentiment analysis system was developed to detect the emotions from the posted tweets. Initially, tweets of different events are collected from social sites which are processed by natural language procedures such as Stemming, Lemmatization, Part-of-speech tagging, word segmentation and parsing are applied to get the words related to posted tweets for deriving the sentiments. From the extracted emotions, co-ranking process is applied to get the opinion effectively related to particular event. Then the efficiency of the system is examined using experimental results and discussions. The introduced system recognize the sentiments from tweets with 98.80% of accuracy.
Prepaid Electricity Billing System using Arduino
Authors:   Assistant Professor, Department of IT SRMIST, Chennai, Tamil Nadu, India, Ponsam* J.Godwin , Geetha G. ,   Assistant Profe, Department of IT SRMIST, Chennai, Tamil Nadu, India, Selvaraj Dr. P. ,   Assistant Professor, Department of IT SRMIST, Chennai, Tamil Nadu, India
Published: February 2020

The World is changing very fast. With the advancement in technology, the needs and demands for various resources is increasing too. Earlier, when the technology was not that advanced. We, Humans, never thought about saving resources and never thought about efficiency, as everything was abundant. However, with this fast growing world and increasing demands, Scientists have started worrying about the Sustainable Development. The pace at which all these resources are being used, soon they will be fully depleted. Already the need for saving the resources like Petroleum and Natural gas has been understood and alternate resources are like electricity are used to power the devices dependent on Petroleum and Natural Gas. The main thing is that we are not realizing the fact that shifting to some other resource like Electricity and ultimately getting dependent on it will endanger that resource too. Today, Electricity is used as a major resource in our day-to-day lives. Electricity is powering every machine used by us daily. From Powering Fan, Ac, TV, Refrigerator to powering microwave, electric chimney, Induction Plate, and even Vehicles. We are overusing Electricity so much that there is a need to reduce its overuse. Otherwise, the day is not far when Scientists will have to start looking for some other alternate resource also. Being renewable resource, it is cheaper and easily available at this moment but soon the situations might change. In today’s Electricity Distribution System, there are many flaws. There is no measure for reducing the overuse, no measure for people not paying their bill, no measure for people who secretly steal the electricity. All this can be solved by using a Prepaid System that will enforce customers to pay before use, so no defaulters
Effect of Polymeric Resins on Geotechnical Properties of Black Cotton Soil
Authors:   Assistant Professor, Department of Civil Engineering, Aalim Muhammed Salegh College of Engineering, Avadi, Chennai, Tamil Nadu, India., Kuppusamy* Jayaganesh , Krishnamurthy Muthumani ,   Professor, School of Mechanical and Building Science, VIT (Chennai Campus), Chennai, Tamil Nadu, India.
Published: February 2020

Stabilization of black cotton soil is a challenging task for geotechnical engineers since such soil is highly vulnerable to expansive characteristics when the moisture content is increased. Due to its expansive nature, it is also called as swelling or expansive soils. Among the clay minerals, Montmorillonite is mainly responsible for such expansive characteristics. Bore log profile has a cluster of soil specimens including black cotton soil also which is unavoidable. Soil engineers have a serious concern about such expansive soil since it is treacherous for foundation of buildings. To overcome such deficiencies it becomes essential to stabilize the soil conditions. The commonly employed methods to decrease the expansive behaviour are: Chemical stabilization, Mechanical stabilization and installation of moisture barriers. In this paper, chemical stabilization method is adopted. Soil stabilizers, namely, sodium silicate, epoxy resin and polyvinyl alcohol are chosen and are mixed with black cotton soil in varying proportions of 5%, 10% and 15% to study the changes in geotechnical properties. From the results it is evident that polymer treated soils reduce plasticity characteristics and shows better results in geotechnical properties.
Revisiting Cloud Security Threats: Repudiation Attack
Authors:   Research Scholar-CS, Jagannath University, Asst. Prof., St. Xavier’s College, Jaipur, Singh* Vaishali , Pandey S. K. ,   Dept. of Electronics & Information Technology, Ministry of Communications & IT, Govt. of India, New Delhi, India
Published: February 2020

Analysis of security threats and examining of existing mitigation techniques are considered as the major dimensions that need to be focused by next-generation cloud technology. These securities and privacy-based challenges are affecting most of the quality services and online data storage having huge network infrastructures and applications for information management. However, still the variant advantages are the success key of emerging cloud, but poses new security issues and reliability challenges for the users and their service applications. The main concern is an application-based cloud threats, which are not tracked properly and no user action logs are maintained for the evidences. This specially leads to the forging of identifications and manipulation in system actions. Nowadays the most common action observed by malicious attacker is to execute repudiation, where one of the parties involved in communication, denies that actually they have executed the particular conduct. Repudiation attack leads to the major legal actions on massive financial losses, which are not even legitimately proved due to the lack of evidences. Thus, the paper presents a broad indication of repudiation attack through analysis of prior security issues in a cloud environment. Wide-ranging reviews on the same have been presented. The study has tried to figure out the root cause of repudiation attack in order to come up with more suitable and satisfactory counter measures. The study also focuses on a variety of dimensions for future research study in the domain of repudiation based on the previous published works and industry /organization reports.
Misdirection Attack Detection in Wireless Sensor Network
Authors:   Department of Computer Science & Engineering, North Eastern Regional Institute of Science & Technology, Nirjuli, India., Singh* Dr. Moirangthem Marjit , Barthakur Spandan Kumar ,   Department of Computer Science & Engineering, North Eastern Regional Institute of Science & Technology, Nirjuli, India., Singh Dr. Thounaojam Rupachandra ,   Department of Computer Science, Manipur University, Imphal, Manipur, India., Nandi Dr. Utpal ,   Department of Computer Science, Vidyasagar University, West Bengal, India.
Published: February 2020

Wireless Sensor Network (WSN) is susceptible to various kinds of security attacks such as the misdirection attack. Detection of misdirection attack in WSN is a difficult job. The malicious node misdirects the arriving packets to a node other than the purposive node in the path from the source to the destination. Consequently, it introduces high end- to- end delay in the network. A novel technique for detection of misdirection attack in WSN without using cluster heads is proposed in the paper. The proposed detection technique has been implemented using Omnetpp 5.4.1 on four different network scenarios (10, 20, 30, and 40 numbers of nodes) and varying number of malicious nodes. The results of simulation shows that the proposed technique delivers better detection rate with reduced end- to- end delay compared to the detection method which uses cluster heads.
Fair Channel Allocation Scheme for Base Station Cooperative Communication in LTE Mobile Network
Authors:   Malaysian Institute of Information Technology, Universiti Kuala Lumpur, Jalan Sultan Ismail, 50250 Kuala Lumpur, Malaysia., Ismail* Mohd Taha , Nordin Risdiadee ,   Centre of Advanced Electronic & Communication Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia., Abdullah Nor Fadzilah ,   Centre of Advanced Electronic & Communication Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia., Ismail Mahamod ,   Centre of Advanced Electronic & Communication Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia., Ghazali Muhammad Azmin Mohamed ,   Malaysian Institute of Information Technology, Universiti Kuala Lumpur, Jalan Sultan Ismail, 50250 Kuala Lumpur, Malaysia
Published: February 2020

Unjust provision of channels by base station greatly affects Mobile subscribers. A standard cluster, would be able to serve Many User Equipments (UEs). A typical cluster would contain 3, 7 19, or 21 cells. An issue of ambiguity exist in the demarcation boundary of adjacent cells, thus, radio transmission in a cell from a particular eNode Base Station (eNBs) may leak into neighbouring cells, which causes interferences. Furthermore, the eNBs geographical location is sensitive to obstructions such as towering buildings. The absence of line of sight has a major impact on radio signals, as this would amplify the loss of propagated radio signals, leading to weaken signal strength at the transmitter, that ultimately affecting current the Fixed Channel Allocation (FCA) technique. Despite the effort for fair channel through the current mechanism, users on the edge of the cell experience unfairness. The primary cause for this can be traced to poor received signal power. There are two considered UEs clustered in this simulation scenarios, which is proposed in this paper: (i) random fixed UEs and (ii) 5 step move UEs. A combination of static and dynamic clustering is proposed, thus leading to enhanced channel allocation. From the results, there is a drastic reduction in inter-cell interference, which would increase the performance of the cellular network to become ideal.
Machine Learning Based Robust Access for Multimodal Biometric Recognition
Authors:   PhD Scholar, Sathyabama Institute of Science and Technology (Deemed to be University), Gona* Anil Kumar , Subramoniam Dr. M. ,   Asst Professor, Sathyabama Institute of Science and Technology (Deemed to be University)
Published: February 2020

For organizations requiring high security clearance, multimodal sources of biometric scans are preferred. Computational models for the unimodal biometric scans have so far been well recognized but research into multimodal scans and their models have been gaining momentum recently. For every biometric we used separately feature extraction techniques and we combined those features in efficient way to get robust combination. In this paper, a novel method for fusion of the scan images from the different modes has been introduced. The method is based on representation of data in terms of its sparsity. Feature coupling and correlation information are obtained from the biometric images. The images from each mode are fused by taking into account a quality measure. The algorithms are kernelised so as to handle nonlinear data efficiently. The result of the proposed system is compared to already existing image fusion methods to show its advantage over them.
Anesthetic drugs shortage in lower and middle income countries: a safety and quality issue
Authors: Khan Fauzia Anis
Published: February 2020

Drug shortage is now a universal problem; but shortage of anesthetic drugs particularly can have wide implications on patient safety. The available data on the magnitude of the problem in lower and middle income countries (LMIC) is very limited. Several factors, e.g. manufacturing and regulatory issues, supply chain issues, hoarding and smuggling can cause shortage of these drugs. Drug shortage results in substitution, increased side effects and medication errors. It also has cost implications. Different models have been recommended to handle these shortages. Innovative solutions require action at all levels, ranging from individuals, institutions, pharmaceutical companies, professional societies, and the governments.
Wet cupping therapy improves mu opioid receptor expression and pain threshold in animal models of inflammation
Authors: Subadi Imam , Kusumawardani Martha Kurnia , Qorib Mohammad Fathul , Susilo Imam , Hidayati Hanik Badriyah
Published: February 2020

Background & Objectives: Treatment of chronic pain using NSAIDs, steroids, opioids, and herbs has been associated with many complications with the long-term use. Wet cupping therapy (WCT) has been used to reduce pain, by triggering mu opioid receptor expression. We conducted this study to compare the effectiveness between WCT with oral opioids for pain management.

Methodology: It was an experimental study with randomized control group post-test only design. Thirty two male white rats of strain Wistar were divided into four groups: (1) Group-NC; mice in this group were given nothing as a negative control group, (2) Group-CFA; group that was given Complete Freund’s Adjuvant (CFA) only as a positive control group, (3) Group-WCT; mice were given CFA and WCT, and (4) Group-O was given CFA and oral opioids. The measured variables were pain threshold value and mu opioid receptors. Statistical analysis was done us(ing SPSS software (version 22.0, Chicago, IL).

Results: The results showed no significant differences in the expression of mu opioid receptors between Group-NC and Group-CFA (p = 0.061). There were significant differences in the expression of opioid receptors between Group-CFA and Group-WCT (p < 0.001), and also between WCT group and Group-O (p = 0.002). The differences of pain threshold value were only significant between Group-NC (p = 0,006) and Group-CFA (p = 0,013) with Group-O.

Conclusion: Wet cupping therapy triggers the expression of mu opioid receptors. Wet cupping therapy as effective in relieving pain as opioids.

Citation: Subadi I, Kusumawardani MK, Qorib MF, Susilo I, Hidayati HB. Wet cupping therapy improves mu opioid receptor expression and pain threshold in animal models of inflammation. Anaesth pain & intensive care 2019;23(4):__

 

Received: 6 February 2019; Reviewed: 16 February 2019, 2 August 2019; Revised: 9 September 2019; Accepted: 15 September 2019
CLINICOPATHOLOGICAL CORRELATION IN CHRONIC LIVER DISEASE AND
HEPATOCELLULAR CRCINOMA
Authors: Vijayalakshmi A. , Malliga s.
Published: February 2020

Cirrhosis can occur as result of various chronic hepatic disease and the incidence of hepatocellular carcinoma arising from cirrhosis is also variable
depending on the etiology resulting cirrhosis. Viral hepatitis and alcohol consumption are the most world-wide among the most common causes of
HCC.we planned this study to nd out the the clinicopathological correlation in chronic liver disease and HCC. This study was done after obtaining
the approval from Institutional Human Ethical Committee (IHEC) of Govt. Stanley Medical College, Chennai. 65 liver specimens were taken for
this study. Hematoxylin and eosin staining of sections were done. Histopathological examinations of these sections were done. The cases showed
an age range from 15 to 73 years. The cases with normal liver histology in the age ranges 15 to 35 years, hepatitis ranges 19 to 51, cirrhosis ranges 15
t0 73 years and the HCC ranges 34-73 years. 45 cases were males and 16 were females.Amongst 8 cases of hepatitis, 4(50%) were males and
4(50%) were females. Amongst 17 cases of cirrhosis, 12(71%) were males and 5(29%) were females. Amongst 30 cases of HCC, 25(83%) were
males and 5(17%) were females. chronic alcohol intake history was found in 50% of hepatitis patients, 63% of cirrhosis patients and 83% of HCC
patients. In this study the most common risk factor for HCC is chronic alcohol intake followed by viral hepatitis.the signicance of the
development of hepatocellular carcinoma in the background of chronic hepatocellular injury has been highlighted.
CONCEPT OF AUTOIMMUNE HEPATITIS IN AYURVEDA PERSPECTIVE – A
CONCEPTUAL STUDY
Authors: Jain* Arti , Uikey Rajesh , Jain Naresh
Published: February 2020

Autoimmune hepatitis is a chronic inammatory disorder characterized by high levels of aminotransferase and auto antibodies,
hypergammaglobulinemia and interface hepatitis. The etiology of AIH has not been completely elucidated, but immunogenetic background and
environmental parameters may contribute to itsdevelopment. Autoimmune hepatitis does not have a pathgnomonic features, and its
laboratory,serologic, andhistologic manifestations are found in acute and chronic liver disease of diverse causes.Autoimmune Hepatitis can be
compared to mandya Bhutangni in Yakrit. According to Ayurveda,Yakrut is the main site of Bhutangni and one of the sub types of pitta namely
Ranjakapitta. This Bhutangni helps in the digestion process as well as Ranjakapitta imparts colour to the blood. According to Charkathe digestion
of food by jatharangi results in the breakdown of food in to ve distinct physiochemical groups. Jatharangi ignites the Agni fraction present in each
of ve groups. This Bhutangni then converts the respective portion in to assimilable form. If the function of Bhutangni is not proper, at this stage
Ama would be produced is called Bhutangni Manda janya Ama. If Agni improperly processed during digestion and metabolism of food it disturbs
the process leading formation of Ama. Which is responsible for the manifestation of almost all disease especially autoimmune hepatitis compared
with Bhutangni giving a detailed literature overview of Bhutangni, Immunopathogenesis (Ama production) and diagnostic criteria.