Pub Date : 2020-02-12DOI: 10.1007/978-3-030-27662-1
C. Magni
{"title":"Investment Decisions and the Logic of Valuation. Linking Finance, Accounting, and Engineering","authors":"C. Magni","doi":"10.1007/978-3-030-27662-1","DOIUrl":"https://doi.org/10.1007/978-3-030-27662-1","url":null,"abstract":"","PeriodicalId":11974,"journal":{"name":"EngRN: Engineering Design Process (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79088708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the present study, Babul wood biomass was considered as case study which is a highly reactive feedstock for pyrolysis and abundant in India. Vacuum pyrolysis of babul wood produce a bio-oil result in pH of 2.3, moisture content of 26.3 wt% due to which viscosity at room temperature was 73.6 cP. Chemical characterization reveals that the composition of bio-oil contains carboxylic acid (~5 wt%), carbonyl group (~2 wt%), furfurals (~2 wt%), phenols (~3 wt%) in major quantity. Aging studies of crude bio-oil had observed that moisture content and viscosity increase with time simultaneously phase separation occurred during the storage at room temperature. Stabilization of bio-oil was carried out to remove to improve the shelf life of bio-oil. After stabilization bio-oil was found to be stable in all properties throughout the study of 60 days at room temperature conditions.
{"title":"Stabilization and Aging Studies of Babul Wood Vacuum Pyrolysis Oil as a Potential Biomass Energy Source","authors":"P. Ghodke, R. Naidu","doi":"10.2139/ssrn.3707533","DOIUrl":"https://doi.org/10.2139/ssrn.3707533","url":null,"abstract":"In the present study, Babul wood biomass was considered as case study which is a highly reactive feedstock for pyrolysis and abundant in India. Vacuum pyrolysis of babul wood produce a bio-oil result in pH of 2.3, moisture content of 26.3 wt% due to which viscosity at room temperature was 73.6 cP. Chemical characterization reveals that the composition of bio-oil contains carboxylic acid (~5 wt%), carbonyl group (~2 wt%), furfurals (~2 wt%), phenols (~3 wt%) in major quantity. Aging studies of crude bio-oil had observed that moisture content and viscosity increase with time simultaneously phase separation occurred during the storage at room temperature. Stabilization of bio-oil was carried out to remove to improve the shelf life of bio-oil. After stabilization bio-oil was found to be stable in all properties throughout the study of 60 days at room temperature conditions.","PeriodicalId":11974,"journal":{"name":"EngRN: Engineering Design Process (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81441210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bhavani Keserla, Dr. Alagu Manivasagam, Natukula Praveen Kumar
Aim and objective: The primary objective of the study is to evaluate the antihyperlipidemic of the aqueous extracts of the dried flowers of Hibiscus sabdariffa Linn in rats. Introduction: In the scientific work was presented data of literary sources, which shows that the treatment of diseases that lead to increase in the cholesterol levels is the most common pathological condition of atherosclerosis, which today tends to increase its frequency and remains an urgent problem in modern medicine. It has been proven that the use of compounds of natural origin is effective for the treatment of this pathological condition. Materials and methods: The experimental part presents the results of preclinical biological tests for the study of acute toxicity and the specific pharmacological activity of H. sabdariffa Laboratory pharmacological, physiological, toxicological and methods of mathematical statistics are used in this work. Results and discussions: According to the results of the conducted preliminary phytochemical screening of the developed medicinal product, contains phytochemical constituents like carbohydrates, glycosides, flavonoids, saponins, terpenoids, tannins and fixed oils. The Aqueous dried flower extract of the H.sabdariffa Linn. shows the significant decrease in the total cholesterol level, rise in the HDL cholesterol level and the decrease in the HDL / total cholesterol level and also increase in the locomotory activity at a dose of 50mg/kg. The results suggest that the aqueous extract of the dried flowers of H. Sabdariffa Linn. possess the anti-hyperlipidaemic activity. The observed effects are due to the presence of bioactive substances.
{"title":"Anti-Hyperlipidaemic Activity of Aqueous Dried Flower Extract of Hibiscus Sabdariffa Linn. in Albino Mice","authors":"Bhavani Keserla, Dr. Alagu Manivasagam, Natukula Praveen Kumar","doi":"10.2139/ssrn.3528040","DOIUrl":"https://doi.org/10.2139/ssrn.3528040","url":null,"abstract":"Aim and objective: The primary objective of the study is to evaluate the antihyperlipidemic of the aqueous extracts of the dried flowers of Hibiscus sabdariffa Linn in rats. \u0000 \u0000Introduction: In the scientific work was presented data of literary sources, which shows that the treatment of diseases that lead to increase in the cholesterol levels is the most common pathological condition of atherosclerosis, which today tends to increase its frequency and remains an urgent problem in modern medicine. It has been proven that the use of compounds of natural origin is effective for the treatment of this pathological condition. \u0000 \u0000Materials and methods: The experimental part presents the results of preclinical biological tests for the study of acute toxicity and the specific pharmacological activity of H. sabdariffa Laboratory pharmacological, physiological, toxicological and methods of mathematical statistics are used in this work. \u0000 \u0000Results and discussions: According to the results of the conducted preliminary phytochemical screening of the developed medicinal product, contains phytochemical constituents like carbohydrates, glycosides, flavonoids, saponins, terpenoids, tannins and fixed oils. The Aqueous dried flower extract of the H.sabdariffa Linn. shows the significant decrease in the total cholesterol level, rise in the HDL cholesterol level and the decrease in the HDL / total cholesterol level and also increase in the locomotory activity at a dose of 50mg/kg. The results suggest that the aqueous extract of the dried flowers of H. Sabdariffa Linn. possess the anti-hyperlipidaemic activity. The observed effects are due to the presence of bioactive substances.","PeriodicalId":11974,"journal":{"name":"EngRN: Engineering Design Process (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85466919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper is proposing a recommender engine for security of real time monitoring systems based on the IoT based architectures. Depending upon the dynamic requirement for the most scalable technology of IoT this paper is proposing a fuzzy logic based recommender system. This system shall adapt the circumstances and acquire the required factors to resolve the security issues.
{"title":"General Recommender Engine for Security of IoT Based Real Time Monitoring System","authors":"Durgansh Sharma, M. Kapoor","doi":"10.2139/ssrn.3527390","DOIUrl":"https://doi.org/10.2139/ssrn.3527390","url":null,"abstract":"This paper is proposing a recommender engine for security of real time monitoring systems based on the IoT based architectures. Depending upon the dynamic requirement for the most scalable technology of IoT this paper is proposing a fuzzy logic based recommender system. This system shall adapt the circumstances and acquire the required factors to resolve the security issues.","PeriodicalId":11974,"journal":{"name":"EngRN: Engineering Design Process (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78658226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rahul Das, Oishik Chattopadhyay, P. Biswas, Monoram Das, Sumanta Chatterjee, A. Paul
Driving a car after the consumption of alcohol is one of the most dangerous things one can do. Several surveys show the reaction of a person during driving, that are seriously affected by alcohol. Concentrating on the safety of the people, driving a car, we propose a safety system for safe driving. We are implementing an Intelligent Alcohol Detection System with some other features to avoid accidents. The Alcohol Gas Sensor is used to sense the consumption of alcohol by the driver and this data is also given to ADC(Analog-to-Digital Converter). The ADC is used in this module to convert the analog signal to digital output. If the driver is tired and feeling sleepy, the eye blink sensor shall sense his condition and turn on the buzzer. We also used a tilt sensor to detect whether the vehicle is going in a normal condition or not. GSM (Global System for Mobile communication) and the GPS module is used to detect vehicle location. In this device we have implemented an alarm system if the alcohol level is above the normal permitted level, then the system will send car’s location to the nearest police station or the relatives of the driver and the ignition system of the car will go off after the detection.
{"title":"Intelligent Alcohol Detection System for Car Drivers","authors":"Rahul Das, Oishik Chattopadhyay, P. Biswas, Monoram Das, Sumanta Chatterjee, A. Paul","doi":"10.2139/ssrn.3526008","DOIUrl":"https://doi.org/10.2139/ssrn.3526008","url":null,"abstract":"Driving a car after the consumption of alcohol is one of the most dangerous things one can do. Several surveys show the reaction of a person during driving, that are seriously affected by alcohol. Concentrating on the safety of the people, driving a car, we propose a safety system for safe driving. We are implementing an Intelligent Alcohol Detection System with some other features to avoid accidents. The Alcohol Gas Sensor is used to sense the consumption of alcohol by the driver and this data is also given to ADC(Analog-to-Digital Converter). The ADC is used in this module to convert the analog signal to digital output. If the driver is tired and feeling sleepy, the eye blink sensor shall sense his condition and turn on the buzzer. We also used a tilt sensor to detect whether the vehicle is going in a normal condition or not. GSM (Global System for Mobile communication) and the GPS module is used to detect vehicle location. In this device we have implemented an alarm system if the alcohol level is above the normal permitted level, then the system will send car’s location to the nearest police station or the relatives of the driver and the ignition system of the car will go off after the detection.","PeriodicalId":11974,"journal":{"name":"EngRN: Engineering Design Process (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78406474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Faisal A. Garba, Sahalu B. Junaidu, Afolayan A. Obiniyi, Adekunle M. Ibrahim
Mirai is the most dangerous Distributed Denial of Service (DDoS)-capable IoT malware to date that is in the wild and yet very simple in nature. Mirai attack an array of Internet of Things (IoT) and embedded devices that ranges from Digital Video Recorders (DVRs), Internet Protocol (IP) cameras, routers and printers recruiting them to form a botnet. The biggest DDoS attack in history was executed using Mirai botnet. A recent study proposed the Mirai Bot Scanner Summation Prototype that analyzes the network traffic generated from Mirai bot host discovery. The Mirai Bot Scanner Summation Algorithm however, cannot recognize if a network traffic is truly Mirai bot host discovery traffic or not. Given any network traffic, the Mirai Bot Scanner Summation Prototype will proceed to summate and output number of bots, retransmission packets, number of packets and number of potential victim IoT devices using only the source Internet Protocol (IP) address and destination IP address of a packet without identifying if it is truly a Mirai bot host discovery packet or not. This paper present an Improved Mirai Bot Scanner Summation Algorithm that looks at the packet to determine whether it is a truly packet generated due to Mirai bot host discovery by looking at the TCP flag of the packet and the port number of the packet. To perform a host discovery Mirai bot sends out SYN packet over TELNET port 23 or 2323 to a randomly generated non-governmental IP addresses to establish a TCP 3-way handshake with a potentially vulnerable IoT device. The Improved Mirai Bot Scanner Summation Algorithm uses this condition to determine whether a packet is a Mirai bot host discovery packet or not. The Mirai Bot Scanner Summation Algorithm and the Improved Mirai Bot Scanner Summation Algorithm are evaluated using IoT Network Intrusion Dataset. The evaluation results have shown that the Improved Mirai Bot Scanner Summation Algorithm provides more accurate results than the Mirai Bot Scanner Summation Algorithm.
{"title":"Improved Mirai Bot Scanner Summation Algorithm","authors":"Faisal A. Garba, Sahalu B. Junaidu, Afolayan A. Obiniyi, Adekunle M. Ibrahim","doi":"10.2139/ssrn.3519728","DOIUrl":"https://doi.org/10.2139/ssrn.3519728","url":null,"abstract":"Mirai is the most dangerous Distributed Denial of Service (DDoS)-capable IoT malware to date that is in the wild and yet very simple in nature. Mirai attack an array of Internet of Things (IoT) and embedded devices that ranges from Digital Video Recorders (DVRs), Internet Protocol (IP) cameras, routers and printers recruiting them to form a botnet. The biggest DDoS attack in history was executed using Mirai botnet. A recent study proposed the Mirai Bot Scanner Summation Prototype that analyzes the network traffic generated from Mirai bot host discovery. The Mirai Bot Scanner Summation Algorithm however, cannot recognize if a network traffic is truly Mirai bot host discovery traffic or not. Given any network traffic, the Mirai Bot Scanner Summation Prototype will proceed to summate and output number of bots, retransmission packets, number of packets and number of potential victim IoT devices using only the source Internet Protocol (IP) address and destination IP address of a packet without identifying if it is truly a Mirai bot host discovery packet or not. This paper present an Improved Mirai Bot Scanner Summation Algorithm that looks at the packet to determine whether it is a truly packet generated due to Mirai bot host discovery by looking at the TCP flag of the packet and the port number of the packet. To perform a host discovery Mirai bot sends out SYN packet over TELNET port 23 or 2323 to a randomly generated non-governmental IP addresses to establish a TCP 3-way handshake with a potentially vulnerable IoT device. The Improved Mirai Bot Scanner Summation Algorithm uses this condition to determine whether a packet is a Mirai bot host discovery packet or not. The Mirai Bot Scanner Summation Algorithm and the Improved Mirai Bot Scanner Summation Algorithm are evaluated using IoT Network Intrusion Dataset. The evaluation results have shown that the Improved Mirai Bot Scanner Summation Algorithm provides more accurate results than the Mirai Bot Scanner Summation Algorithm.","PeriodicalId":11974,"journal":{"name":"EngRN: Engineering Design Process (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89913832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cloud computing is used to store large amount of data because is low cost and flexible but in cloud data security important issue. In this paper we proposed approach encryption or decryption file using algorithm are AES and OTP using Hadoop here we encrypted file within HDFS and decrypted within maptask in existing system encrypted/decryption the usage of AES but report length degree accelerated with the aid of 50% from unique record however now enhance the ratio as length of the encrypted record accelerated by means of 20% from original file length and also we carried out new technique called HDFS.
{"title":"An Technique for Big Statistics Security Based on Hadoop Distributed File System","authors":"S. D, Manu Y.M, DR.Ravikumar G.K","doi":"10.2139/ssrn.3517196","DOIUrl":"https://doi.org/10.2139/ssrn.3517196","url":null,"abstract":"Cloud computing is used to store large amount of data because is low cost and flexible but in cloud data security important issue. In this paper we proposed approach encryption or decryption file using algorithm are AES and OTP using Hadoop here we encrypted file within HDFS and decrypted within maptask in existing system encrypted/decryption the usage of AES but report length degree accelerated with the aid of 50% from unique record however now enhance the ratio as length of the encrypted record accelerated by means of 20% from original file length and also we carried out new technique called HDFS.","PeriodicalId":11974,"journal":{"name":"EngRN: Engineering Design Process (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75405553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An improved design of Wallace tree encoder is presented in this paper. Wallace tree encodes a thermometer code into binary code in a Flash ADC. It has the advantage of correcting bubble errors without the need of an extra bubble error correcting (BEC) block. It consists of full adder circuits and adds the number of 1’s generated through the comparator output in a Flash ADC. The new Wallace tree encoder is compared with the previously designed traditional Wallace tree encoder in 45nm technology. The results show that new design is efficient than the previous design. The proposed encoder dissipates 9.61μW power and has a delay of 29.5ps. The PDP and EDP is calculated to be 0.28 fJ and 0.83x10-26 Js.
{"title":"Design of a Low Power and High Speed Wallace Tree Encoder for Flash ADC","authors":"Shaik Rahil Hussain, Rajesh Kumar","doi":"10.2139/ssrn.3516639","DOIUrl":"https://doi.org/10.2139/ssrn.3516639","url":null,"abstract":"An improved design of Wallace tree encoder is presented in this paper. Wallace tree encodes a thermometer code into binary code in a Flash ADC. It has the advantage of correcting bubble errors without the need of an extra bubble error correcting (BEC) block. It consists of full adder circuits and adds the number of 1’s generated through the comparator output in a Flash ADC. The new Wallace tree encoder is compared with the previously designed traditional Wallace tree encoder in 45nm technology. The results show that new design is efficient than the previous design. The proposed encoder dissipates 9.61μW power and has a delay of 29.5ps. The PDP and EDP is calculated to be 0.28 fJ and 0.83x10-26 Js.","PeriodicalId":11974,"journal":{"name":"EngRN: Engineering Design Process (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77355360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Meng-Jie Jhong, I-Lun Jen, Kuang‐Kuo Wang, Wan-ting Yen, Jacob C. Huang, J. Jang, K. Hsieh, Hsin-jay Wu
In recent years the emerge of high-entropy alloys (HEAs) imposes an evolution in metallic materials, which breaks the boundaries set by the traditional alloys. Alongside the development of HEAs, the medium-entropy alloys (MEAs), which comprise two to four majority elements, also reveal the outperforming properties with less compositional complexity. Among them, the medium-entropy AlNbV alloys attract great attention owing to the existence of a body-centered cubic (BCC) solid solution that contains soluble Al, Nb, and V elements. Herein, we construct the phase diagrams for the Al-Nb-V system and define the equilibrium homogeneity by thermally-equilibrated ternary alloys underwent a post-annealing at 1073 K or 1273 K. Meanwhile, a superposition of phase diagram and thermal conductivity κ mapping suggests that the coexistence of BCC solid solution and nano-grained AlNb2 brings down the κ. With the incorporation of Ti and Cr, the HEA AlNbVCrTi, which is composed of Laves C14 phase and BCC solid solution, achieves an ultralow κ of 6 – 10 Wm-1K-1 within 323 – 723 K.
{"title":"From Nano-Structure to Laves Phase: Reduced Thermal Conductivity from Medium-Entropy Alnbv to High-Entropy Alnbvcrti Alloys","authors":"Meng-Jie Jhong, I-Lun Jen, Kuang‐Kuo Wang, Wan-ting Yen, Jacob C. Huang, J. Jang, K. Hsieh, Hsin-jay Wu","doi":"10.2139/ssrn.3678818","DOIUrl":"https://doi.org/10.2139/ssrn.3678818","url":null,"abstract":"In recent years the emerge of high-entropy alloys (HEAs) imposes an evolution in metallic materials, which breaks the boundaries set by the traditional alloys. Alongside the development of HEAs, the medium-entropy alloys (MEAs), which comprise two to four majority elements, also reveal the outperforming properties with less compositional complexity. Among them, the medium-entropy AlNbV alloys attract great attention owing to the existence of a body-centered cubic (BCC) solid solution that contains soluble Al, Nb, and V elements. Herein, we construct the phase diagrams for the Al-Nb-V system and define the equilibrium homogeneity by thermally-equilibrated ternary alloys underwent a post-annealing at 1073 K or 1273 K. Meanwhile, a superposition of phase diagram and thermal conductivity κ mapping suggests that the coexistence of BCC solid solution and nano-grained AlNb2 brings down the κ. With the incorporation of Ti and Cr, the HEA AlNbVCrTi, which is composed of Laves C14 phase and BCC solid solution, achieves an ultralow κ of 6 – 10 Wm-1K-1 within 323 – 723 K.","PeriodicalId":11974,"journal":{"name":"EngRN: Engineering Design Process (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91514647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In today’s world, solar panel is one of the major sources for generating power directly from the sunlight by using electronic processes and there is no greenhouse emission in photo-voltaic cell as it does not require any other source of fuel like coal, natural gas, oil, nuclear power systems. Hotspot is one of the main causes of photo-voltaic cell which occurs due to the dissipation of power in shaded cells. In the existing literature, the hotspot in solar panel is detected by using various algorithms and techniques but it does not improve accuracy, performance, temperature distribution, problem like over-fitting and under-fitting also exists. To overcome that, the proposed work deals with capturing the hotspot as thermal image through an infrared camera which is mainly used for temperature distribution. For identifying hotspot, the features like shade, correlation, contrast, energy, entropy, homogeneity, prominence, sparse are extracted using sparse reconstruction and GLCM algorithms. The features are given to the classification algorithm named as Extreme earning Machine which gives the good generalization performance and improves accuracy higher when compared to other algorithms. The over-fitting and under-fitting problem can also be rectified by using these algorithms. Finally using extreme learning machine, the percentage of hotspot in photo-voltaic cell can be identified.
{"title":"Hotspot Revelation in Solar Panel Using Sparse Reconstruction and Extreme Learning Machine","authors":"R. Saranya, R. Karthikeyan, K. Manivannan","doi":"10.31224/osf.io/7gy2j","DOIUrl":"https://doi.org/10.31224/osf.io/7gy2j","url":null,"abstract":"In today’s world, solar panel is one of the major sources for generating power directly from the sunlight by using electronic processes and there is no greenhouse emission in photo-voltaic cell as it does not require any other source of fuel like coal, natural gas, oil, nuclear power systems. Hotspot is one of the main causes of photo-voltaic cell which occurs due to the dissipation of power in shaded cells. In the existing literature, the hotspot in solar panel is detected by using various algorithms and techniques but it does not improve accuracy, performance, temperature distribution, problem like over-fitting and under-fitting also exists. To overcome that, the proposed work deals with capturing the hotspot as thermal image through an infrared camera which is mainly used for temperature distribution. For identifying hotspot, the features like shade, correlation, contrast, energy, entropy, homogeneity, prominence, sparse are extracted using sparse reconstruction and GLCM algorithms. The features are given to the classification algorithm named as Extreme earning Machine which gives the good generalization performance and improves accuracy higher when compared to other algorithms. The over-fitting and under-fitting problem can also be rectified by using these algorithms. Finally using extreme learning machine, the percentage of hotspot in photo-voltaic cell can be identified.","PeriodicalId":11974,"journal":{"name":"EngRN: Engineering Design Process (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76470786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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