bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental study on mechanical behavior of steel-concrete composite beams with friction connections in different structural zones
Authors: Pan Chao , Ying Hui , Wang Shugang
Published: February 2021

in order to study the mechanical properties of steel-concrete composite beams with asymmetric friction connections and considering the structural factors, three simple steel-concrete composite beams with friction connections were fabricated, and the uniaxial low cycle cyclic loading sine wave tests were carried out on the steel-concrete composite beams with friction connections. The test results show that the composite beam can get stable two-stage hysteretic curve in structure 1 and structure 3, and has reliable hysteretic energy dissipation capacity. The hysteretic curve of structure 1 is more full and stable, and the strength increases first and then decreases with the loading.
Comparison of seismic reduction schemes for frame structures under frequent earthquakes
Authors: Zhou Chang Xian , Zheng Shao Peng , Ye You Quan , Wang Hao , Fu Ping
Published: February 2021

In recent years, viscous energy dissipation wall is widely used in China. In the case of a 5-story frame structure, the combination of viscous damping wall (VDW), buckling restrained brace (BRB) and (VDW + BRB) is used for seismic design. Under frequent earthquakes, (VDW + BRB) scheme has the best damping effect, which can effectively reduce the response of superstructure and greatly improve the seismic safety of building structures.
Mechanical and Numerical Simulation on Weathered Argillaceous Siltstone under Cyclic Loading
Authors: Sun Yang , Zhang Chengke , Li Zhiqiang , Yu Junping
Published: February 2021

Secondary lining cracking always occurs in existing tunnels when the tunnel passes through the weathered argillaceous siltstone layer, which seriously affects the safety of the tunnel. In order to study the mechanical properties of weathered argillaceous siltstone and the cracking law of the secondary lining, this study analyzes the relationship of accumulative plastic strain between the dynamic stress amplitude and static deviator stress, as well as the cracking law of the secondary lining of the sample. The results show that under cyclic loading, there are obvious accumulative plastic strain in weathered argillaceous siltstone; the bearing capacity of the secondary lining structure at the biased part shows an evident increase than that of others with cracking generating faster. The research results provide a reference for the safety and operation of the tunnel that runs through the weathered argillaceous siltstone layer.
An Estimation of hourly average solar radiation using artificial neural network in the city of Surabaya
Authors: Kurniawan A , Koenhardono E S , Kusuma I R , Prananda J , Sarwito S , Masroeri A A
Published: February 2021

To maximize the effectiveness of solar energy systems installed on the ship, the panels need to be positioned on their optimal inclination angle. To determine this angle, information on hourly average solar radiation is required in addition to position and direction data. However, the amount of hourly solar radiation is not continuously measured in Indonesia. This study proposed a method to estimate the hourly solar radiation for any month. This is based on Artificial Neural Network (ANN) with the month and the hour required for the estimate and the previous daily average solar radiation as the input. The proposed ANN method was validated by comparing the estimation results with the measured hourly average solar radiation in Surabaya from May to July 2020. Its effectiveness was affirmed with the coefficient of determination (R2) of 0.983 or higher for each of the three observed months.
The potential study of fishing area and its relationship to marine security in Natuna island
Authors: Putra R D , Sitohang A V , Suhana M P , Prayetno E , Yunianto A H , Nusyirwan D , Nugraha S , Bachtiar I K
Published: February 2021

Natuna Island is one of the small outer islands in Indonesia bordering Malaysia, Singapore, Thailand, Vietnam, and directly facing the South China Sea. Natuna seawaters have enormous potential fishery resources and one of the fishing areas used as a fishing activity for Indonesian and foreign fishermen. The potential also made illegal fishing practice rampant in Natuna seawaters and led to the Indonesian maritime security patrol being directed to Natuna seawaters to stop the illegal fishing process. The marine security patrol activities require high operational costs, and This can be minimized in several ways, particularly by knowing the points that can contain extensive fish resources, and the security patrols can be carried out directly at these points of location. To obtain information about these locations, map the potential fishing areas in Natuna seawaters for each period or monsoon. This study aims to apply remote sensing analysis to collect comprehensive information regarding strategic fishing areas prone to violations and security threats related to fishing activities based on monthly analyzes. The data used in this study were chlorophyll-a concentration and SST from MODIS level-3 with a resolution of 4 km from January to December 2019. SST and chlorophyll-a concentration data used pre-process analysis with SeaDas Software to ensure the data projection in the World Geodetic System (WGS) 84 format. The data processing stage uses ER Mapper software to project the distribution of SST and chlorophyll-a concentration into a contour. Post-processing data used ArcGIS software to determine crosses’ results on the SST contour and the combined chlorophyll-a concentration. Image data processing results show that the lowest fishing point on Natuna Island in August with 51 fishing points, and the highest fishing point on Natuna Island in February with 584 fishing points. The results showed that fishing points vulnerable to illegal fishing are mostly located in the northern part of Natuna Island. The fishing zone is mostly far from Natuna island’s coastal line. The results of this study indicate that the fishing area in the outer regions of Natuna Island needs to be increased in security and protection, especially in regions with a high level of fishing activity. This information is expected to become a reference for the authorities in the marine security sector in Natuna waters to take certain policies related to marine security patrols’ operational activities in Natuna waters, particularly in minimizing operational costs of marine security patrols in Natuna seawaters.
Design of laminated bamboo fishing boat with local cultural heritage using electric motor to support fishing tourism in Pasuruan, East Java
Authors: Aliffrananda M H N , Safaruddin A R , Supomo H , Regitasyali S
Published: February 2021

Fishing has been one of the main sources of livelihood in Indonesia, to the point that it gives birth to numerous fishing culture preserved by the locals in the country. However, the development of Indonesia’s fishing tourism is quite slow, despite its identity as an archipelagic state. In attempt to boost the fishing tourism sector, this study proposes a design of a fishing boat with a touch of Pasuruan cultural heritage, a region in East Java. The design is hoped to attract the tourists’ attention by presenting them a local heritage fishing experience. Laminated bamboo is utilised as the boat’s material so it can be recycled as furniture when no longer in use. The boat’s main dimensions are obtained by means of intuitive design method. Technical calculations including the boat’s resistance and propulsion, required power and stability are carried out subsequently. The main dimensions for this boat are: LoA = 8.2 m; B = 1.1 m; H = 0.6 m; and T = 0.42 m. The service speed is set to be 7.5 knots. While the required power to move this boat is around 7.481 kW to power an electrical motor with 25 HP.
Study on the LNG Distribution to Bali – Nusa Tenggara Power Plants Utilizing Mini LNG Carriers
Authors: Abdillah H N , Artana K B , Dinariyana A A B , Handani D W , Aprilia P W
Published: February 2021

LNG has proven to be a green enegy source and reliable for environmentally, it’s combustion residue produces much cleaner pollutants than other fossil fuels. The Ministry of MEMR shows that the increasing demand for national electricity reaches 7.5% each year. Mini LNG carrier is an alternative solution for distribution liquid natural gas to archipelago areas with an operational cost effectiveness challenge. Power plants located in Bali and Nusa Tenggara Island are used as a case study. The aim of this study is to calculate LNG distribution using mini LNG carriers, estimate the operational cost in each power plants and risk assessment. The capacity of vessel and power plants set as the constraint, LCT non-conventional as mini LNG carrier carry out 32 ISO Tank 20ft. Hence its is need 26 mini LNG carrier to supply power plant in Bali and Nusa Tenggara as scenario 1, while 7 mini LNG carrier have to provided to supply power plant in Bali and Lombok as scenario 2. Scenario 1 is inefficient because it requires high investment and operational aspects. The final risk assessment based on hazard analysis due to hydrocarbon handling an F-N curve was found to be in ALARP compared to acceptance criteria.
Snake Robots for Rescue Operation
Authors: Arun Kumar V , Adithya B , Bijoy Antony P T
Published: February 2021

The motivation for snake robots originates from natural snakes. Snakes show better versatility abilities and can move over basically any kind of landscape, including limited and restricted spaces. Like a snake, robot has an exceptionally expressed robot controller arm with the capacity of giving its own drive. Wheel-less, limbless secluded Snake-like robot (Snake robot) has superior capacities in flexibility and adoptability to nature in examination with the most haggled vehicles. Some helpful highlights of snake-like robots incorporate smaller size of the cross-sectional regions, steadiness, capacity to work in troublesome landscape, great footing, high redundancy and complete fixing of the inside systems. Our model consists of multiple links joined together to create propulsion on its own in a spatial environment. The first link (head) can have various configurations like camera, gripper, etc. This makes the snake robot ideal for search and rescue operation.
Autonomous Underground Water Detection Robot
Authors: Krishnan Rahul , Ganesh Babu R , Lalitha K , Vanaja S , Devnesh Keren Naomi
Published: February 2021

The fast development of sensing element and wireless communication technologies has exaggerated the use of wireless sensors in environmental observance. The water consumption is rising day by day, as the water supplies for various social units and for industrial purposes is rising. And that is why surface water isn’t really capable of meeting water needs. This subterranean need for water has been misunderstood. This work is based on meeting the challenge of easily sorting the underground water with the aid of a robot. This robot based on Arduino Mega will examine the surface in relation to Wenner methodology to look for the existence of water body beneath the earth’s surface. It will define the location of underground water with respect to a GPS module connected to the Arduino. The location data obtained from the GPS module is used to record at that particular depth the exact location and volume of water present. This knowledge can help to map underground water in that geographical area.
Design and Analysis of six DOF Robotic Manipulator
Authors: Pratheep V G , Chinnathambi M , Priyanka E B , Ponmurugan P , Thiagarajan Pridhar
Published: February 2021

The robotic manipulators are nowadays used for many applications in the industries. This project involves the design and analysis of a six DOF manipulator for welding, pick and place application. We developed a robot in Solid Works and analysed it motion, load withstanding capacity and path traceability. However, design and analysis of a robot involves modelling of it forward and inverse kinematics. We modelled the forward and inverse kinematics by D-H parameters. The proposed model makes it possible to control the manipulator to achieve any reachable position and orientation in an unstructured environment. The inverse kinematics provided many possible combinations of angles for a single end effector position. A GUI was created in MATLAB for studying the forward and inverse kinematics of the robot. It gave results with precision of 0.2 cm. the load analysis also gave the maximum load it can withstand 200 KN without permanent deformation. The approach presented in this work can also be applicable to solve the kinematics problem of other similar kinds of robot manipulators.
Detection of fire prone environment using Thermal Sensing Drone
Authors: Nithyavathy N , Arun Kumar S , Rahul D , Satheesh Kumar B , Shanthini E R , Naveen C.
Published: February 2021

Drones of various types are currently in great demand because of their flexible applications to facilitate human life. At acceptable constant quality levels, they can perform tasks in a repetitive manner. A drone is intended and built in the current work to evaluate the area vulnerable to fire and its surface area at an altitude of 10 meters. In the event of a forest fire disaster, evaluating the impacted area is very complicated. This approach needs to be adaptable and easily controlled in order to solve it. Thus, both the manual and autopilot mode are built and controlled by a quad copter drone with an ardupilot, which drives the drone to the specified location. The drone is fed with the specification of the Global Positioning System ( GPS) and flies with the aid of an ardupilot to the spot. With the aid of a thermal imaging sensor, the drone senses the surface area with its captured image. With the aid of coding dumped in it, the image is sent to the base station and the vision building is achieved with the help of the thermal camera fitted in the front part of the drone and then it interacts with the base station where it is possible to view the surface area. This allows average individuals to recognize the region impacted by the tragedy and to predict the amount of impact they have made in a shorter period of time. Human interference is minimized by this detection method in the areas affected by fire with the extent of fire prediction.
Robust Design of Automatic Sheet Fixing System for Metal Roofing
Authors: Balaji A , Rithic Sai R , Jason Gousanal J , Mithil J
Published: February 2021

Metal roofs overtaken the conventional roofing system in the recent days due to its reliability, it can withstand over 100 years without any damage. The assembler provides 50 years of warranty because it has better stability. The fixing of sheets over prefixed frame is a tedious process at greater heights. Due to the slippery nature of the polished sheets, it is quite difficult to fix the sheets by manually at highest building roofs. Hence, automation in this process reduces the accidents and reduces the processing time. To overcome this problem, a system is proposed to automate the process to fixing the metal roofs in the building roofs, which must be designed in flexible manner to the operator. To design and fabricate a low cost automatic sheet fixing system, contemplations of economy of the system, flexibility, easy handling etc., should be analyzed. A machine is fabricated to automate the sheet fixing process with effective features were inbuilt like pneumatic cylinders for linear movement and drilling machine The system is provided with rollers to accommodate its movement above the sheets in the desirable path with the help of 5/3 DCV valve. In addition, the horizontal cylinders are also used for retraction and the drilling machine is fixed to drills the screw at the fixed positions and the process will be repeated for several times based on the inputs. The inputs for drill positions are given in the wireless console by the way drilling process is controlled automatically.
Design and fabrication of fresh juice vending machine for commercial applications
Authors: Rooshan M.J , Shankar S. , Nithyaprakash R.
Published: February 2021

The objective of this work is to provide a fresh juice in an effective manner to promote the people for drinking hygienic and healthy fruit juices using a single vending machine within 90 seconds. The design has three storage units which are fully refrigerated and the fruits can be placed on the top rack. Below that, a pneumatic mechanism is available to pick and place the fruits of required quantity. A mixture and crusher is made available within the machine to ease the mixing process. Mixture will convert fresh fruits into juicy state and crusher will extract juice from the fruits, milk and water ratio will be controlled by the machine. The entire process is controlled using a raspberry pi which is programmed for every movement and functions of the vending machine. A monitor is attached for the selection of the juice and helps to modify the program on the raspberry pi. A biometric setup is attached with the unit for the people who are using the machine regularly. Overall, the fabricated machine becomes alternative for the soda vending machines, and it can change the morality of the people for drinking fresh juice then and there with a hygienic preparation.
Characteristics of Polymer Modified Reclaimed Bitumen and Aggregate as a Sustainable Pavement Material
Authors: Geetha S. , Selvakumar M. , Muthulakshmi S.
Published: February 2021

Infrastructure development in a country depends on the development of road network. In a developing country like India construction of pavements forms the integral part of infrastructure development. The most common material used for the construction of pavements is hot mix asphalt (HMA). The demand for this material is very high and at the same time due to maintenance of pavements lot of used paving material is wasted. This paper deals with the characteristics of reusing the reclaimed materials as construction materials in the construction of pavements. Experimental investigations were conducted to study the properties of aggregate and bitumen that are reclaimed. The test results on the reclaimed material were conducted and it was found to be suitable to be reused for the pavement construction. Systematic proportioning of the reclaimed material with the virgin material was investigated and the results show that the reclaimed materials performed equally well as the virgin material. The cost analysis for using these recycled materials is also calculated, in order to highlight the advantage of using the recycled material.
Smart Mulberry Plant Cutter
Authors: Ranjith Kumar R. , Navinkumar T M. , Aravindh P. , Kavinesh T. , Sathyanarayanan Y. , Sedhumaadhavan P.
Published: February 2021

Sericulture is the process of farming silkworms to cultivate silk from it. In sericulture the silkworms are fed by mulberry leaves. The major problem in this field is cultivation and cutting of mulberry plants. More manpower is required to cut the mulberry plants and carry them to the silkworm shed. Also, it needs more time. This project “Farmer’s friendly mulberry plant cutter” gives solution for the above-mentioned problems. The project is designed with a movable holder or arm and a rotating cutter. Initially the arm will hold the mulberry plant and the cutter starts to cut the plant. The plant cutter comprises of a storage area to store the plants. The arm holding the plant will drop the plant in the storage area. The entire plant cutter should be moved manually to locate the plant properly. The holding and cutting process are automated.
Effect of Addition of Magnesium and Zinc to Obtain Optimal Mechanical Properties of Al-Mg-Zn Alloy
Authors: Mottar Al-Masoudy Murtadha Mohsen , Abbud Luay Hashem , Al-Jubouri Haidar A.H. , Sabri Zainab Amer
Published: February 2021

Many uses of aluminum led the researchers to develop this field by changing the target bullion to obtain alloys suitable for all specialties and possibilities. Adding some metals to aluminum leads to a change in properties, whether mechanical or physical, but in our research we target the mechanical properties, adding magnesium and zinc are in equal proportions (5%Mg-5%Zn, 10%Mg-10Zn). We offer this alloy to some tests such as hardness test, electrical conductivity test, compression test and Microstructure examination test. We compare the properties obtained with each other and with the basic properties of pure basic metal according to international standards.
Railway track tracer system for creature detection
Authors: Deepa M , Raji C G , Ajina VA , Ashla  , Azra Afsal , Susanna George
Published: February 2021

Railway Track Tracer System for creature detection is a system for detecting creatures on the railway tracks. This system will help to avoid many accidents that occur on rails. This system mainly focuses on some areas where creatures are always seen on the railway tracks. In some areas, elephants are crossing the railway tracks frequently. This system frequently monitors the railway tracks using a camera, so that the presence of creatures can be easily identified and then necessary actions can be taken to prevent accidents. The system includes a camera, train status system and an application for alert. The camera captures the images on the track at each interval of time and then through image processing the captured image will be recognized. If an object is identified on the track, then immediately an alert message will be sent to the nearby control room and loco-pilot. This system will be helpful for the society to prevent accidents due to creatures on the railway tracks.
GIS Study on Impact of Urbanisation in Perundurai on Ground Water Quality
Authors: Santhoshkumaar K , Muralimohan N , Ponkalidass K , Naveenkumar S , Nirmal K
Published: February 2021

Groundwater quality includes the physical, chemical, and biological qualities of well water. Temperature, turbidity, color, taste, and odor structure the list of physical water quality parameters. Since most well water is colorless, odorless, and while not specific style, we tend to are generally most involved with its chemical and biological qualities. though spring water or groundwater product are usually oversubscribed as “pure,” their water quality is totally different from that of pure water. The current work is geared towards assessing the water quality index (WQI) for the groundwater of Perundurai taluk and the tested parameter are mapped with the help of GIS. This has been decided by using aggregation groundwater samples and subjecting the samples to a complete chemical science analysis and to produce groundwater exceptional map of Perundurai Taluk using GIS.
Design and Analysis of Bumper Beam and Energy Absorbers by Using Composite Materials
Authors: Chinnasamy Jegadheesan , Periasamy Somasundaram , Chinnasamy Vivekanandhan , Prathip Kumar H. , Hariharan S. , Diwakar A. , Piruthiviraj B.
Published: February 2021

At present the production of automobile is in increasing rate especially India which is one of the largest producer and consumer of automobile. India uses wide variety of automobile like bus, car, van, truck and heavy vehicles. But India have a poor road quality and the driving facilities are less which results in severe road accident. This results in severe collisions of vehicles and it cause damage to both vehicle and passengers. Bumper is one of the key factor which helps in avoiding damage to vehicle and passengers present inside the vehicle. Thus all vehicles will have bumper for safety purpose. The bumpers are made of different type of materials to ensure safety of the passengers and to reduce the weight of the vehicle. The production of bumper in composite material results in increased safety during collision and it is cheaper and reduces the weight of vehicle. The cross-section of beam, energy absorber and its materials is designed and analyzed, with referring to the result safe and strong bumper system is discussed. When compared to current bumper, the composite bumper with energy absorber results in greater shock absorption and increased strength which increase the overall effectiveness of the bumper and its function.
Optimization of mechanical properties of ER-4043 specimens fabricated by WAAM process through Grey Relational Analysis
Authors: Sirisha Bhadrakali A. , Narayana K. L , Ram Prabhu T , Pratapa Reddy Y.
Published: February 2021

Wire Arc Additive Manufacturing (WAAM) is the process of used to fabricate material samples by deposition of material which is in wire form at high temperature ER-4043 Aluminium wire is deposited on substrate steel plate and predicted the properties by following Taguchi orthogonal Array. It reduces the complexity occurs by conventional process in fabricating a large size, complex shape components.

In the present investigation, the optimized multi-responses by Orthogonal Array (OA) which are strength and hardness values obtained during WAAM process for nine samples are evaluated to presage the influence of process parameters through Grey Relational Analysis (GRA) followed by Taguchi method.
A Detailed Survey on Improved Groundnut Harvest Automation System Using Wireless Sensor Network Technologies
Authors: Maneendhar R , Usha M
Published: February 2021

This paper analyses the wireless sensor network technologies on how to use in agricultural crop harvesting and highly productive yielding applications. Wireless sensor networks (WSN) monitoring the crop growth ubiquitous manner and sending crop growth report to the agricultural university administrator system. This survey paper makes a comparison between wealthy crop growth databases to actual crop cultivation reports. The main objective and motivation of this survey paper are tremendous changes are needed in the field of agriculture. Finally, they will give well-optimized suggestion to the farmers such that fertilizer recommendations, managing and controlling crop diseases, suitable irrigation system for crop cultivation, which is all the methodologies are helping to improve the yield of crops.
Wheeled wall climbing robot with suction chamber: A study on forces and moments for stability
Authors: Eswaramoorthy Sathish , Poovathy John Florence Gnana
Published: February 2021

Wall climbing robots (WCRs) are those that have the capacity to move against gravity and reach out to places where it is difficult for human access. For example, cleaning the inner surfaces of hot boilers in industries, painting highly raised buildings etc. In order to carry out these works, the WCRs must move over rough vertical walls. It is possible that, the WCR might tip over due to the uneven nature of the wall. The forces and moments acting upon the WCR while climbing a vertical wall have huge impact over the stability. Apart from rough surfaces, the WCRs might encounter few obstacles. The forces and magnitudes must aid the WCRs surpass these obstacles as well as rough surfaces and climb over the wall and ceiling. This paper studies the various forces and moments acting on the WCRs while climbing a vertical wall. Mathematical insight about the changes in forces and moments to maintain stability for various cases such as WCRs with payload, with two or more suction chambers, with many suction chambers with payload are discussed in detail.
Frequency sextupling millimeter wave generation by using lithium niobate mach zehnder modulator without an optical amplifier
Authors: Anand Prem P K , Pranit Jeba Samuel C , Nagaraj S , Subhashree G R , Albert Alexander S
Published: February 2021

The millimeter wave (mmw) based optical networks have been considered as the most promising solution to increase the capacity, coverage, bandwidth and decreasing cost for next generation access networks. The optical fiber technology utilizing mmw band is an attractive way to provide higher signal bandwidth and overcome congestion. In the present era the frequency having less bandwidth is used in the communication technology which increases the time delay. The proposed scheme is used to generate mmw with an applied voltage of 7 V for a distance of 50 km and data rate of 6 Gbps is achieved by using a Lithium niobate Modulator without an optical amplifier and filter. The carrier suppression scheme used in the LiNbO3 modulator act as a optical filter so that the complexity of the system is reduced. As the modulator helps to increase the frequency of the input signal to achieve a long distance transmission through an single mode optical fiber the number of optical amplifiers can also be reduced. To verify the robustness of the setup the visualizers are used which ensure the data quality.
Experimental Investigation for the usage of Diesel - Jatropha – Rice bran Biodiesel Mixture Blends in Four Stroke Diesel Engine
Authors: Karthi Vinith K S , Soundar A , Mahalingam S , Sujai S , Guru Prasad P K
Published: February 2021

In last few decades, the demand of fossil fuel increases due to the enormous increases in vehicle population. There is a shortage of crude oil supply due to the excess need of fossil fuel. This urges the researchers to switch to renewable resources, like biofuels. Biodiesels can be produced successfully from plants such as palm, jatropha, rapeseed, rice bran, soyabean, corn etc. The use of biodiesel will considerably reduce the emissions also and thus increases the engine performance. The oil is converted to biodiesel with the help of trans-esterification process. The properties, emission characteristics and performance for the Compression Ignition (CI) of the fuel process are examined for biodiesel which is blended with two oils (rice bran and Jatropha oil blend mixture) by using this experimental study. The results indicate that the calorific value forthe dual blends of biodiesel decreases with an increase in biodiesel concentration in the blends of diesel-biodiesel mixture. It is found that the brake thermal efficiency is lower for biodiesel blends. For higher ratio of blends, biodiesel blends givelower HC and NOx emissions.
Optimizing Wireless Multimedia Sensor Networks Path Selection using Resource Levelling Technique in Transmitting Endoscopy Biomedical data
Authors: Vanitha C.N. , Malathy S
Published: February 2021

The urge to transmit especially biomedical data rapidly is essential to save human life. Every user demands for high speed communication with no delay. But the network suffers from huge delay which degrades the performance of the network and it also dissatisfies the user expectation. To meet the user needs, the proposed work mainly focuses on increasing the speed and minimizing the delay in communication using Internet applied in Things (IoT) and Wireless Multimedia Sensor Networks. It can be achieved by avoiding over allocation of resources in the network i.e., resource level balancing and planning the transmission. These two have greater impact in upgrading the performance of network. This paper introduces a unique methodology for Wireless Multimedia Sensor Networks and end-device assisted system. The transmission time can reduced by using the concept of probability estimation for crashing the interpretative path. It extends the battery level of the motes by enhancing the pace and minimizing the energy level during transmission process. The Crashing Interpretative path protocol is simulated against other literature method. The simulation results shows that the CCP provides better efficiency in terms of transmission time, the lifetime of sensors for biomedical data transmission. This methodology is greatly helpful to save precious human life.
Mitigating DoS attacks in IoT using Supervised and Unsupervised Algorithms – A Survey
Authors: Gopal S.B. , Poongodi C. , Nanthiya D. , Snega Priya R. , Saran G. , Sathya Priya M.
Published: February 2021

IoT is an evolving technology used in enormous applications in order to reduce the human intervention. As IoT is used in hybrid environment where it has to enable communication between multidisciplinary components it is facing lot more challenges. Security is the main issue had to be addressed. IoT devices are with limited power consumption; hence it’s not possible implement existing security algorithms as it is. Security attacks are increasing day by day; hence the dynamic solution has to be given rather than static solution. Machine learning is a promised technology that can be used in order to solve the security issues. This paper list out various work so far carried out in the area of machine learning for IoT security and solutions provided with future direction of research in this area.
A Multi-syndrome Pathology for Breast Cancer through Intelligent Learning
Authors: Vanitha C.N. , Malathy S.
Published: February 2021

The field of data analytics dealt with various methods to analyze the available data and help us to drawn into a point of conclusion about that information. Machine will learn the behavior based on the algorithms applied on those data and provide an appropriate conclusion. When these kinds of data analytic metrics applied to medical diagnosis various symptoms obtained from the patients and then the disease could be detected effectively. When certain optimization methods are applied on the data, the overall efficiency of the system will be improved considerably. To meet the challenges in diagnosing breast cancer based on clinical record sources, different symptoms in descriptions, clinical symptoms, a novel method, which consists of choosing the suitable features, multi-class functions, and multi-label parameters, has been proposed. The proposed work will be implemented as two steps such as discriminative symptoms selection and multi-syndrome learning. Public Breast Cancer Wisconsin (Diagnostic) Data Set has been taken for implementation. The breast cancer data set utilized for this work comprises 699 tumour samples. In that 458(65.5 %) samples belong to Benevolent (non-cancer) tumours and 241(34.5%) belongs to malevolent(cancer) tumours. The overall verisimilitude is 95.23% which will be improved to a greater extent when compared to the existing schemes.
A Comprehensive Review of Applications of Internet of Things for Covid-19 Pandemic
Authors: Malliga S , Kogilavani S V , Nandhini P S
Published: February 2021

Due to the raise of Covid-19 pandemic, there has been a surge in interest for the use of digital tools and technologies for pandemic containment While investigating, it is understood that the strategies based on potential digital technologies would definitely yield better benefits and these strategies have been recently used for controlling the pandemic In this article, we review how Internet of Things (IoT) and Sensors take health care to a new level and pioneers in addressing the Coivd-19 pandemic The recent cutting-edge IoT tools play a crucial role in restraining the spread of the virus and supporting the treatment of the infected persons This survey explores the recent IoT efforts and possible scenarios for addressing various Covid-19 issues like pre-screening, tracking of infected/quarantined people and many more We also examine the research opportunities that have been opened up due the application of IoT for the management of Covid-19 crisis Further, we have also identified a few challenges and issues to be addressed while using IoT during Covid-19 pandemic
Security Concerns during Photo Sharing in Social Network Platforms
Authors: Maragatham T , Yuvarani P , Sowndarya Shree J
Published: February 2021

The posting of pictures in online social media could be a common way of keeping buyers socially connected with others within the development of social media advances. The wealthy point of interest within the picture hence rearranges the suspicion of delicate information around individuals’ interior the photo by a malevolent client. In later a long time there has been a part of consideration to the way in which the security revelation of photographs was subsumed. When a client posts a photo, the picture must take into consideration the protection of all connected clients. This framework is anticipated to share such co-possessed pix. In addition to that, this approach proposes an eager way for the creator to track the edge, since of an equalization of privateers held with an anonymization and also with information traded with others. The anonymizing impacts of a picture are represented by an edge that’s characterized by the distributer. Simulation results uncover that the trust-based photograph sharing component is helpful to scale back the security misfortune, and furthermore the extended edge normalization strategy would pay a sensible taken a toll to the consumer.
RETRACTED: Intrusion Detection Using Machine Learning in Sensor Network
Authors: Ganesh Babu R , Vijay M , Parameswaran G , Anandhan C , Maurya Sudhanshu
Published: February 2021

An exhaustive assessment of the usage of machine and (Artificial Intelligence)AI answers for IDS structures in Wireless Sensor Networks (WSNs). To this end, introducing Restricted Boltzmann Machine-based Clustered-Introduction Detection System (RBMC-IDS) of conceivable AI-based IDS structure for WSN perception of explicit establishments. The RBMC-IDS display examination contrasts it and the recently presented adaptable IDS based AI. It Adaptively Supervised Hybrid IDS (ASCH-IDS). It mathematical results show that RBMC-IDS and ASCH-IDS achieve a comparative distinguishing proof and precision rates, anyway the disclosure period of RBMC-IDS is generally twice of ASCH-IDS.
BettaNet: A Deep Learning Architecture for Classification of Wild Siamese Betta Species
Authors: Pattana-anake Voravarun , Danphitsanuparn Pimsiri , John Joseph Ferdin Joe
Published: February 2021

Fish classification is a mix of animal sciences and artificial intelligence. With the advent of machine learning in artificial intelligence, classification has been done using computer vision algorithms and now deep learning is gaining prominence. Betta fish classification is not much explored. The wild species of Betta Splendens which are native to the Kingdom of Thailand are taken in the research reported in this paper. BettaNet architecture, a modified version of ResNet 152 is used to classify 6 species of wild species of betta. The experimental results show that the proposed BettaNet architecture holds better in performance in terms of accuracy and F1-scores. Two different datasets were used and the performance obtained by the proposed architecture reduced the cross-entropy loss over different experimental configurations.
Highly scalable and load balanced web server on AWS cloud
Authors: Mangayarkarasi M , Tamil Selvan S , Kuppuchamy R , Shanthi S , Prem S R
Published: February 2021

Most of the industries maintaining their web server on their on-premise, which leads them to have high maintenance, more workload, increases cost. To overcome this we can use cloud technologies for building a web server which gives better performance. Thus we use AWS cloud technologies. In this research paper, a web server is built using the cloud formation technique CFT. Using this technique we can able to build our infrastructure using YAML code. To achieve these major cloud resources are used such as Ec2 Instance, Application load balancer for balancing the load given by users, auto-scaling group. We will configure these cloud resources as YAML and implement them using the cloud formation technique. So that the industries can have their Infrastructure as Code.
A Review on Speckle Noise Reduction Techniques in Ultrasound Medical images based on Spatial Domain, Transform Domain and CNN Methods
Authors: Pradeep S , Nirmaladevi P
Published: February 2021

Ultrasonography is non-invasive and painless. In Ultrasonography the images are often affected with Speckle noise. It is a multiplicative noise. To help the doctors to identify the abnormalities properly there are several methods to diagnose as speckle is a major problem. This paper gives details about popular spatial domain, transform domain, CNN techniques for despeckling in ultrasound images. Transform domain methods like Wavelet methods, Curvelet methods, Bayes Shrink methods are prominent among many researches. Deep learning based methods are evolving like DnCNN, ECNDNet etc. for efficient despeckling. An overview of the methods is given here with certain measurement parameters like PSNR, MSE.
Diffusion convolution recurrent neural network – a comprehensive survey
Authors: Tamil Selvi K , Thamilselvan R , Mohana Saranya S
Published: February 2021

Graphs find its place in many applications like social network analysis, computer vision and bioinformatics. It has the ability to capture the structural relationship among the data, thus provides more insight. Graph Neural Network (GNN) has a deep learning way of analyzing the graph. The target nodes representation is obtained by iterative propagation of neighbour information until the stability is reached. Representational learning is widely used for capturing the insight of graph representation model. The complex structure of graph is hidden by representational learning results in shallow learning mechanism. Convolutional Neural Network (CNN) exploits the stationary properties and hierarchical pattern of the data which are in Euclidean space. Non-Euclidean characteristics of the graph can be captured precisely using graph convolutional neural network. In graph convolution, vertex domain is represented as aggregation of neighbour node’sinformation. In order to encompass the dynamics of graph, diffusion process is used, in which spatial dependency and temporal dependency are considered simultaneously. In Diffusion Convolution Recurrent Neural Network (DCRNN) uses diffusion convolution to capture spatial dependency and Gated Recurrent Unit (GRU) to capture temporal dependency. DCRNN is capable of handling long-term dependencies. In this survey, we conduct comprehensive survey on diffusion convolutional operations on graph, which is one of the most prominent deep learning models for forecasting in time series domain. First, we categorize the variants of graph convolutional models and its convolution operations on graph. Then based on application, graph convolutional models are categorized with their applications. Finally, open challenges in the area of graph convolutional network and future directions for research are discussed.
Optimization of aluminum alloy by CO2 laser cutting using genetic algorithm to achieve surface quality
Authors: SenthilKumar V , Nagadeepan A , Hubert Tony Raj L , Sabarish P , Stonier Albert Alexander
Published: February 2021

The cutting tool process became one of the uncommon thermal energy-based manufacturing methods used in aerospace and different electronics industries to create complex shapes on different metals and their alloys. This paper presents a genetic algorithm for optimizing wear rate and kerf width mostly during cutting tools of aluminum 6351 CO2. The experiments were based on the design of Box Behnken, which took into account three laser specifications for cutting process. Control of laser beams, cutting speeds and gas pressure. By reducing the surface roughness and kerf width, the optimum parameters for the laser cutting were determined. Our test results reveal that in solving optimization problems, the suggested genetic algorithm is efficient and efficient and can be incorporated into the intelligent production environment.
A Research Survey on Microgrid Faults and Protection Approaches
Authors: Sarathkumar D , Srinivasan M , Stonier Albert Alexander , Samikannu Ravi
Published: February 2021

The conventional electrical system, production of power is happened in several places also power transmitted into the grid and finally distribution takes place to the individual customers. In conventional powergrid suffers high capital cost, finite reliability, rising greenhouse gases emissions and growing power losses in the transmission line. The power company is choose an interconnecting diverse nonconventional form small generations close to user places, based on their demand also giving smart lever to the power grid. An extensive result, power generation from microgrid is recommended per scientists it could supplies secure, standard and effective supply of source to individuals. Microgrid integration is already available power delivery network forms more intricate to the radial power distribution network. It further lead to magnitude of fault current is vary aggressively based on operation methods (isolated or grid integrated), source, status, also total distributed production of power. In existing protecting control strategies are modelled in radial energy circulation and centralized production of power, it creates available protecting approach is fall in the microgrid. So, effort is carried out to re-examine the fundamental conceptions also importance, problems experienced by microgrid as theme of diverse protection approaches.
Design of Intelligent Controller for Hybrid PV/Wind Energy Based Smart Grid for Energy Management Applications
Authors: Sarathkumar D , Srinivasan M , Stonier Albert Alexander , Samikannu Ravi , Vijay Anand D
Published: February 2021

This article deals in the modelling of intelligent controller for the Hybrid photovoltaic (PV)/Wind based smart grid system. With the development of solid state electronics also power systems intelligent techniques like neural networks, fuzzy logic, expert systems take part an essential contribution in design of controller for the smart grid. The above techniques give potential tools for design and development of fault detection controller in the advanced smart grid (SG). The intelligent techniques attained in rapid evolution during previous decades and their utilization now increased rapidly in current industrial environment. Renewable energy integration, participation of customers, performance optimization is important key features of digital grid power systems. In this article presents in new method of digital grid for hybrid photovoltaic/Wind based smart grid system were developed. It consists of solar PV array systems, wind power systems, asynchronous generator, converters, MPPT systems, fuzzy logic controllers (FLC). The model was performed through MATLAB/SIMULINK environment. The dynamic performance in presented model was tested in various operating conditions. Sunlight Irradiation, heat and rate of wind statistics was collected in a power grid combined solar PV model placed in main system. In this proposed simulation model also in supervision scheme give an appropriate tool for optimization of smart grid performance.
Smart hybrid power supply system for home appliances
Authors: Vini Antony Grace N , Ganesan Karthika , Aquiline Lydia L , Shalini S
Published: February 2021

India, power generation for daily usage is being tedious. Increase in population, creating a high demand for alternative source for power generation. Though India is abundant with solar energy, implementation of solar energy is being very tedious due to it higher initial installation cost. This can be overcome, using a hybrid technology, where alternative power sources and the main power source is being switched based on the requirement or usage of the household. The proposed work uses a micro controller based system to do the switching by calculating the power utilized by the house hold using a current sensor. Most commonly used switched sources are solar energy and the main supply from electricity board.