Volume-7 Issue-6, March 2019 – International Journal of Recent Technology and Engineering (IJRTE)

F3012037619

IJRTE Journal — Sat, 29 Oct 2022 03:54:59 +0000

Disambiguation of Named Entity with Supervised Technique over a Knowledge Base
Aarthi D¹, Viswanathan V²
¹Aarthi D, School of Computing Science and Engineering, VIT University, Chennai, Tamilnadu, India.
²Viswanathan V, School of Computing Science and Engineering, VIT University, Chennai, Tamilnadu India.
Manuscript received on 13 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 1386-1391 | Volume-7 Issue-6, March 2019 | Retrieval Number: F3012037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Named Entity Disambiguation (Entity linking) is the task to link the entity mentioned in the query search with the appropriate entity in the repository without any name disambiguation. It can facilitate many tasks such as list of people or population in the repository and query processing and information retrieval. This task is a very challenging because of ambiguity and name conventions. In this paper we address a problem of named entity matching. In order to overcome this challenge we use Query search technique that implemented here is Name Dictionary based technique. The search key is extracted and compared with all the keys from the dictionary and the appropriate value is fetched and system throws as a result. Entity linking provides the information both explicitly and implicitly. Explicit linking provides the information beyond the knowledge base whereas implicit linking provides the information only from the knowledge base. Based on the information obtained we can also add the ratings and the comments. Based on the comments and the ratings the data that provided in the repository can also be managed. Our experiments shows the promising results in extracting the Candidate entities and graph based outcome if the user performs sequence of query search on single namesake.
Keywords: Named Entity, Candidate Entity, Disambiguation, Explicit Linking, Implicit Linking.
Scope of the Article: Clustering

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F2327037619

IJRTE Journal — Thu, 27 Oct 2022 09:01:41 +0000

Global MPPT Control Algorithms for Solar PV Systems under Non-uniform Solar Radiation
Ramalingam Senthil
R. Senthil, Department of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, (Tamil Nadu), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 2102-2105 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2327037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Maximum power point tracking (MPPT) of solar PV systems is vital under the variable solar radiation and panel as well as ambient temperatures. Various control algorithms are used in the standalone and grid-connected solar photovoltaic systems. Several MPPT controls have been investigated with sensors and sensor-less approaches. Tracking accuracy under shading conditions is essential to provide the constant power output of solar PV systems. Such controls should be economical for standalone and grid-connected PV systems. Recent advances in the control algorithms and methodologies for global MPPT and the future scope of such controls are discussed here.
Keywords: Control algorithms, MPPT, Solar photovoltaics, Partial shading, Tracking accuracy.
Scope of the Article: Robotics and Control

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F2249037619

IJRTE Journal — Thu, 27 Oct 2022 08:58:25 +0000

Image Processing Based Edibility Analysis of Spinach Leaves using Machine Learning Approach
Bhagavatula Aiswarya¹, Anushka Sharma², Rupsa Chakraborty³, Malathi.G⁴, T Raghav Kumar⁵
¹Bhagavatula Aiswarya, School of Computing Science and Engineering, Vellore Institute of Technology, Chennai Campus, (Tamil Nadu), India.
²Anushka Sharma School of Computing Science and Engineering, Vellore Institute of Technology, Chennai Campus, (Tamil Nadu), India.
³Rupsa Chakraborty School of Computing Science and Engineering, Vellore Institute of Technology, Chennai Campus, (Tamil Nadu), India.
⁴Dr. Malathi.G, Associate Professor, School of Computing Science and Engineering, Vellore Institute of Technology, Chennai Campus, (Tamil Nadu), India.
⁵T Raghav Kumar, School of Computing Science and Engineering, Vellore Institute of Technology, Chennai Campus, (Tamil Nadu), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 2097-2101 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2249037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Analyzing the edibility of food consumed by the human body is very crucial to identify the nutritional values absorbed. Lack of the right amount of nutrients can lead to various health issues like food poisoning, low immunity and nutritional diseases. Thus, identifying such problems at the stage of consumption can help in preventing several foodborne diseases and improve health. But this aspect is given little importance in our country, due to the heavy expenses involved and the infeasibility of large scale deployment of existing methods, which are mainly chemical experiments. Thus, the main goal of this work is to provide a simpler, cost-effective solution to address the given issue. Green leafy vegetables, specifically spinach plants are considered for this research as they are highly nutritious with very low longevity. Given the normal storage conditions, the shelf life of spinach leaves can be extended to a maximum of 5-7 days[1]. During the course of this research, we analyze the edibility of spinach leaves using Image Processing techniques and Machine Learning in order to provide simpler solutions that can replace the existing methods. A data-set was created to capture the deteriorating stages of the spinach leaves at regular intervals of time for ten days. Image Processing techniques were used to extract the chlorophyll and nitrogen content of the leaves. By using Machine Learning, these values were correlated with the age of the leaf. After the training process, testing was performed to identify the performance of the proposed system.
Keywords: Chlorophyll, Nitrogen, Spinach Leaves, Image Processing, Machine Learning, Multiple Linear Regression, Edibility.
Scope of the Article: Machine Learning

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F2707037619

IJRTE Journal — Thu, 27 Oct 2022 08:54:23 +0000

Performance Analysis of Fusion Based Brain Tumour Detection Using Chan-Vese and Level Set Segmentation Algorithms
K. Rajesh Babu¹, P. V. Naganjaneyulu², K. Satya Prasad³
¹K. Rajesh Babu, Department of Electronics and Communication Engineering, KLEF, Guntur, (Andhra Pradesh), India.
²P. V. Naganjaneyulu, Sri Mittapalli College of Engineering, Guntur, (Andhra Pradesh), India.
³K. Satya Prasad, Vignan’s Foundation for Science, Technology & Research, Guntur, (Andhra Pradesh), India.
Manuscript received on 18 March 2019 | Revised Manuscript received on 25 March 2019 | Manuscript published on 30 March 2019 | PP: 2089-2096 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2707037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Brain tumour shortens the life expectancy of the diseased if not identified at early stages. Accompanied by variety of segmentation algorithms, MRI has been widely used as one of the identification procedures. But no single technique is commonly accepted for accurate segmentation that correlates with pathological studies. This paper highlights the effectiveness of CNN fusion followed by Chan-Vese active contour based segmentation intended for the detection of brain tumour and compares it performance with other contemporary approaches using various metrics.
Keywords: Fuzzy C-Means, K-Means, CNN, CT, NSCT, MWGF, GFF, Chan-Vese, Level Set.
Scope of the Article: Fuzzy Logics

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F2493037619

IJRTE Journal — Thu, 27 Oct 2022 08:49:36 +0000

Analysis of Heat Energy Transfer and Friction Characteristics for Turbulent Flow in a Copper Tube with Various Inserts.
Chaitanya Vashisth¹, Nitin Kukreja², Ravindra Pratrap Singh³
¹Chaitanya Vashisth, Assistant Professor, Department of Mechanical Engineering, GLA University, Mathura, (U.P), India.
²Nitin Kukreja, Assistant Professor, Department of Mechanical Engineering, GLA University, Mathura, (U.P), India.
³Ravindra Pratap Singh, Assistant Professor, Department of Mechanical Engineering, GLA University, Mathura, (U.P), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 2080-2088 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2493037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The core aim of presented work is to determine the heat energy transfer and pressure loss in copper tube with various inserts fitted in counter-swirl and co-swirl directionality. The experimented information have been picked for single (ST), twin co-swirl (COS) and twin counter-swirl (CTS) twisted tapes (TT) with twist ratio (TR) 3.5, 4.5 and 5.5 and the Reynolds number (Re) is maintained between 5000 to 15000. The significant growth in heat transfer has been recorded with TT inserts with TR 3.5, the synchronous growth in friction with reference to the plain empty tube. The ultimate rise in the heat energy transfer and frictional losses are achieved to be 2.02 and 4.09 times of the plain empty tube. The highest gained in thermo-hydraulic performance factor has been recorded 1.27 for CTS inserts with TR 3.5. Gain in heat energy transfer is very significant rather than rise in friction factor in terms of overall enhancement in thermal performance of the system.
Keywords: Heat transfer, Reynolds number, Friction factor, twisted tape, swirl flow
Scope of the Article: Predictive Analysis

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F2797037619

IJRTE Journal — Thu, 27 Oct 2022 08:46:05 +0000

Autonomous Irrigation System
M. Murali¹, Akshay Kumar², Mohit Khare³
¹M. Murali, Assistant Professor, Department of Computer Science Engineering, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
²Akshay Kumar, UG student, Department of Computer Science Engineering, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
³Mohit Khare, UG student, Department of Computer Science Engineering, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 2075-2079 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2797037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: India is an agriculture based country and it needs a smart and efficient way of irrigation to prevent wastage of water as water table in many regions of the country are already depleting at a serious level. In this paper, implementation of a system which has multiple sensors connected to a control module to regulate outflow of water in an irrigation system is shown. The paper shows a Raspberry Pi based system which takes input from sensors like humidity sensor, soil moisture sensor, barometer etc. to regulate the water output to the irrigation field. Multiple sensors are scattered over the field. The sensors in the field sense the moisture of the soil and signals it back to the microcontroller. The control module then irrigates the field according to the water requirement based on the sensor data. The model of an autonomous irrigation system also implementing machine learning is presented for rural areas. The aim of the autonomous irrigation system and its implementation is to effectively irrigate agricultural fields preventing water wastage
Keywords: Irrigation, soil moisture, Sensor, Agriculture, Farming.
Scope of the Article: Autonomous Robots

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F3024037619

IJRTE Journal — Thu, 27 Oct 2022 08:40:11 +0000

An Extensive Power Balance Management of Hybrid Electrical Vehicles Fast Charging Stations Architecture using NPC Converter
M Sankaraiah¹, K Krishna Sai², B Loveswara Rao³
¹M Sankaraiah, B.Tech, Department of EEE, Koneru Lakshmauah Education Foundation, Vaddeswaram, AP, India.
²K Krishna Sai, B.Tech, Department of EEE, Koneru Lakshmauah Education Foundation, Vaddeswaram, AP, India.
³Dr. B Loveswara Rao, Professor Department of EEE, Koneru Lakshmauah Education Foundation, Vaddeswaram, AP, India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 2069-2074 | Volume-7 Issue-6, March 2019 | Retrieval Number: F3024037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: As there is a high growth in number of hybrid vehicles day by day there is more need to decrease the time to charge, so that there is a need of development of high power charging stations with quick charging is needed so that we can reduce the excitement of drivers. The charging stations based on neutral point converter(NPC) have many advantages but it has an unbalanced problem in the bipolar dc bus. To solve this unbalanced problem in the dc bus An extensive power balance management system with the help of space vector modulation technique is proposed in this paper. This power balance management(PBM) is proposed to support the central neutral point clamped converter(NPC) in balancing the power and to maintain the fluctuating neutral point current zero and to make sure the balanced operation of fast chargers so that the dc bus is maintained constant and balanced. The overall architecture and the effective integration of solar, wind and fast charger connected to NPC converter is proposed. Simulation results are presented and results are verified in the paper.
Keywords: Dc power balance management, electrical vehicles, fast charger, Svpwm technique.
Scope of the Article: Data Management

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F3023037619

IJRTE Journal — Thu, 27 Oct 2022 08:35:41 +0000

Photovoltaic – Standalone System with SMES-Battery Energy Storage System Cascaded MLI for Rural Area Applications
Battini Prasanth Kumar¹, M Srikanth²
¹Battini Prasanth Kumar, Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, (A.P), India.
²M Srikanth, Associate Professor, Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, (A.P), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 2064-2068 | Volume-7 Issue-6, March 2019 | Retrieval Number: F3023037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Electric utilities and end customers of electric electricity are becoming more and more worried about meeting the growing energy demand. “Urbanization and industrialization have changed the lifestyle of human society and the need for electrical energy has superior significantly. As the conventional energy sources are not capable of serving the purpose, the researchers have grew to become their face towards Renewable Energy Sources (RES).“Energy sources are scattered throughout the globe, therefore the on hand inexperienced electricity at the distribution stage is additionally used to generate electricity. The hybrid aggregate of wind/solar structures has proved to be a reliable source to the utility”. For extracting maximum energy from the RES, battery financial institution is related across it. Due to the hassle related with the chemical batteries the wind/solar hybrid combination is immediately linked to the grid. There are many issues associated to the interconnection of RES to the grid which are addressed with the increase in strength electronics field. However the power first-rate issue occurs due to the presence of non-linear loads at the point of common coupling . “Shunt active filter has proved to mitigate the problems related with the non-linear loads. Researchers have restrained their work to interconnection of RES to best grid voltages which is not the sensible case. In this paper proposes an SMES-battery power storage gadget to stabilize a photovoltaic-based microgrid beneath distinctive faults hybrid system is modeled and is interconnected to the unbalanced and distorted grid. Using MATLAB, a comparison of with the SMES-battery and solely with the battery is carried out. From the primary specs of the SMES magnet, the ac-loss calculation is additionally performed”. The results exhibit that i) the SMES-battery is better than the battery to well timed deal with the transient faults of the microgrid; ii) the SMES-battery permits to make certain a seamless mode-transition for the microgrid underneath the external fault, and limit the fault present day in the factor of common coupling to keep away from an useless off-grid below the inside faul Also, RES interfacing inverter is brought with shunt lively filter performance and for this reason average cost curtailment of the assignment can be achieved.
Keywords: About four key words or phrases in alphabetical order, separated by commas.
Scope of the Article: Standards for IoT Applications

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F3022037619

IJRTE Journal — Thu, 27 Oct 2022 07:44:07 +0000

Optimal Operation Strategy of an Islanded Microgrid using Genetic Algorithm
K. Sri Harika¹, SVNL Lalitha²
¹K. Sri Harika, Department of EEE, Koneru Lakshmaiah Edication Foundation, Vaddeswaram, Guntur, (Andhra Pradesh), India.
²SVNL Lalitha, Department of EEE, Koneru Lakshmaiah Edication Foundation, Vaddeswaram, Guntur, (Andhra Pradesh), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 2058-2063 | Volume-7 Issue-6, March 2019 | Retrieval Number: F3022037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The intermittent nature of renewable energy sources calls for efficient energy management systems in islanded microgrid operation. In order to ensure continuity of power supply to demand all the time, battery energy storage systems(BESS) are employed along with an alternative energy source like a diesel generator. It is essential that the overall operational cost minimization is achieved ensuring the health monitoring of BESS. At every hour, optimal set of actions by the renewable energy resources, BESS and diesel generator need to be found out satisfying the demand and state of charge consideration yielding minimal cost of operation. An attempt has been made to employ genetic algorithm to find the optimal set of actions for overall cost minimization. Results are compared with dynamic programming (DP) and approximate dynamic programming (ADP).
Keywords: Dynamic programming (DP), Approximate Dynamic programming (ADP), Genetic algorithm (GA), Battery energy storage systems (BESS).
Scope of the Article: Foundations Dynamics

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F3020037619

IJRTE Journal — Thu, 27 Oct 2022 07:38:34 +0000

Smart Building System using IoT
P. Sai Sumanth¹, P.Hareesh², P.Linga Reddy³
¹P.Sai Sumanth, B. Tech, Department of EEE, Koneru Lakshmauah Education Foundation, Vaddeswaram, (Andhra Pradesh), India.
²P. Hareesh, B.Tech, Department of EEE, Koneru Lakshmauah Education Foundation, Vaddeswaram, (Andhra Pradesh), India.
³P. Linga Reddy, Professor Department of EEE, Koneru Lakshmauah Education Foundation, Vaddeswaram, (Andhra Pradesh), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 2052-2057 | Volume-7 Issue-6, March 2019 | Retrieval Number: F3020037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Now a days Internet of Things (IOT) is the technology which is growing rapidly in present world and everybody is looking for a comfortable home with the best qualities at very low cost. By looking many aspects we designed a prototype which is very secured, controlled and energy saving prototype for our home and offices by using the ATmega328 micro controller. This necessary program is developed by using the embedded c language. The main aim of this paper is to build features for the home and offices with low cost which could be affordable by common persons also for automatic energy control. This project demonstrates the ability to measure accurately the number of persons entering into the room and number of persons leaving the room. It also stores the details of the electrical appliance status and sensor details in the cloud by using the ESP8266 Wi-Fi-module. The global system mobile communication (GSM) module is included for protection of the home by using IOT
Keywords: System using IoT
Scope of the Article: IoT

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