Pub Date : 2017-05-04DOI: 10.1109/SSPS.2017.8071567
Kunjabihari Swain, S. Dash, S. Gouda
In this paper an Integrated Autonomous Vehicle (IAV) design is presented. The IAV is an automatic robot which has the capability to reach any corner of the security region without alarming the enemy. It can employ for suspicious bomb detection & demolition, threat detection etc. which is quite risky for soldier in the war field or border security region. This vehicle equipped with different on board sensors, actuators, camera and Raspberry PI to accomplish the security activity. Raspberry PI monitors the controlling action of the robot which is programmed with LabVIEW (Laboratory Virtual Instrument engineering workbench) for efficient interaction and presentation.
{"title":"Raspberry PI based Integrated Autonomous Vehicle using LabVIEW","authors":"Kunjabihari Swain, S. Dash, S. Gouda","doi":"10.1109/SSPS.2017.8071567","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071567","url":null,"abstract":"In this paper an Integrated Autonomous Vehicle (IAV) design is presented. The IAV is an automatic robot which has the capability to reach any corner of the security region without alarming the enemy. It can employ for suspicious bomb detection & demolition, threat detection etc. which is quite risky for soldier in the war field or border security region. This vehicle equipped with different on board sensors, actuators, camera and Raspberry PI to accomplish the security activity. Raspberry PI monitors the controlling action of the robot which is programmed with LabVIEW (Laboratory Virtual Instrument engineering workbench) for efficient interaction and presentation.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128298746","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}
Pub Date : 2017-05-04DOI: 10.1109/SSPS.2017.8071565
Sayali Paithankar, Ranjit M. Zende
In this paper a new proposal for the control of power quality is made by interline unified power quality conditioner (iUPQC) and comparison is shown with conventional unified power quality conditioner. Improved iUPQC controller provides additional regulation as STATCOM to grid voltage. In this interline UPQC two back to back connected series and shunt converter are used. Source emulated by UPQC and iUPQC controller is different. One converter is act as controlled sinusoidal voltage that is shunt type and another is current source that is series type. These two techniques are solution for power quality problems in distribution and transmission system.
{"title":"Comparison between UPQC, iUPQC and improved iUPQC","authors":"Sayali Paithankar, Ranjit M. Zende","doi":"10.1109/SSPS.2017.8071565","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071565","url":null,"abstract":"In this paper a new proposal for the control of power quality is made by interline unified power quality conditioner (iUPQC) and comparison is shown with conventional unified power quality conditioner. Improved iUPQC controller provides additional regulation as STATCOM to grid voltage. In this interline UPQC two back to back connected series and shunt converter are used. Source emulated by UPQC and iUPQC controller is different. One converter is act as controlled sinusoidal voltage that is shunt type and another is current source that is series type. These two techniques are solution for power quality problems in distribution and transmission system.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127801493","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 presents a simple and a compact MIMO antenna for Ultra Wideband applications. The proposed structure contains two circular ring shaped monopoles which is kept parallel to each other. The physical separation between the radiating elements is about 0.25λ and the mutual coupling obtained is about 20 dB throughout the band. Ground slots (GS) and extended ground plane (EGP) are the means utilized to achieve high isolation. The antenna is optimized to provide more than 113.5 % impedance bandwidth below VSWR 2 (S11 < −9.5 dB) for the 2.87 GHz to 10.4 GHz band. The designed structure has length and width of 30 × 26.4 mm2 when etched on one of the sides of the cost effective FR4 substrate thickness which is of 1.6 mm. Apart from the MIMO performance metrics, which include, ECC, Diversity Gain and Mean Effective Gain, the time domain analysis, radiation and gain patterns are measured and presented too. This analysis guarantees that this antenna is suitable for ultra band MIMO applications.
{"title":"Compact circular ring shaped monopole UWB MIMO antenna","authors":"Minal Dhanvijay, Anuradha Pattekar, Rajiv Kumar Gupta","doi":"10.1109/SSPS.2017.8071574","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071574","url":null,"abstract":"This paper presents a simple and a compact MIMO antenna for Ultra Wideband applications. The proposed structure contains two circular ring shaped monopoles which is kept parallel to each other. The physical separation between the radiating elements is about 0.25λ and the mutual coupling obtained is about 20 dB throughout the band. Ground slots (GS) and extended ground plane (EGP) are the means utilized to achieve high isolation. The antenna is optimized to provide more than 113.5 % impedance bandwidth below VSWR 2 (S11 < −9.5 dB) for the 2.87 GHz to 10.4 GHz band. The designed structure has length and width of 30 × 26.4 mm2 when etched on one of the sides of the cost effective FR4 substrate thickness which is of 1.6 mm. Apart from the MIMO performance metrics, which include, ECC, Diversity Gain and Mean Effective Gain, the time domain analysis, radiation and gain patterns are measured and presented too. This analysis guarantees that this antenna is suitable for ultra band MIMO applications.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116143202","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}
Pub Date : 2017-05-01DOI: 10.1109/SSPS.2017.8071566
Priyanka Sudhakara, V. Ganapathy, K. Sundaran
This paper proposes a trajectory planning of a mobile robot using bidirectional-Rapidly-exploring Random Tree star [RRT star] algorithm with spline technique. In the proposed method, the basic bidirectional-RRT star algorithm is combined with the spline technique to generate smooth trajectories, which are important for curved path navigation of a wheeled mobile robot. The bidirectional-RRT star tree structure is extended by using a spline method based on a cubic Ferguson's curve. Trajectories that are been generated using the proposed bidirectional spline-RRT star algorithm satisfies direction constraints approach on both source and target positions. This makes the proposed algorithm remarkably unlike from other trajectory planning algorithms. As a result, the paths produced by the mobile robots are sub-optimal, dynamically and geometrically feasible, and satisfy direction constraints approaches. Simulation results that are performed affirm these bidirectional spline-RRT star algorithm properties and show the validity of the proposed algorithm, implying that it can be efficiently applied to trajectory planning of wheeled mobile robot operating in real-time environments.
{"title":"Optimal trajectory planning based on bidirectional spline-RRT∗ for wheeled mobile robot","authors":"Priyanka Sudhakara, V. Ganapathy, K. Sundaran","doi":"10.1109/SSPS.2017.8071566","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071566","url":null,"abstract":"This paper proposes a trajectory planning of a mobile robot using bidirectional-Rapidly-exploring Random Tree star [RRT star] algorithm with spline technique. In the proposed method, the basic bidirectional-RRT star algorithm is combined with the spline technique to generate smooth trajectories, which are important for curved path navigation of a wheeled mobile robot. The bidirectional-RRT star tree structure is extended by using a spline method based on a cubic Ferguson's curve. Trajectories that are been generated using the proposed bidirectional spline-RRT star algorithm satisfies direction constraints approach on both source and target positions. This makes the proposed algorithm remarkably unlike from other trajectory planning algorithms. As a result, the paths produced by the mobile robots are sub-optimal, dynamically and geometrically feasible, and satisfy direction constraints approaches. Simulation results that are performed affirm these bidirectional spline-RRT star algorithm properties and show the validity of the proposed algorithm, implying that it can be efficiently applied to trajectory planning of wheeled mobile robot operating in real-time environments.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116056512","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}
Pub Date : 2017-05-01DOI: 10.1109/SSPS.2017.8071614
Tabassum Sayed, Richa Shreyam, Ridhi Garg, Shalini Shah, M. Tripathy
This paper concerns the designing, considerations and analysis of Y junction in rectangular substrate integrated waveguide technology using HFSS code. The proposed design unites the advantages such as low fabrication cost, low signal losses, planer profile, easily integrated with the other microwave devices and high performance in microwave application. The transmission coefficients S21 and S 31 shows that the input power (3W) in a waveguide is equally split into −8dB power or combined −8dB power in needed manner by using presented SIW Y junction. The divided E-fields are in same phase as the E-field at the input. The propagation direction of electromagnetic waves is not always straight and if the direction of wave changes in bounded medium, it encounters bending loss which is due to reflection of wave from chamfer less bends. Thus, for direction change in bounded medium without incurring bending loss, chamfer bends have been designed. The study contributes the designing and analysis of chamfered microwave bends in proposed rectangular substrate integrated waveguide. These newly designed bends are optimized in V-band [40–75 GHz] at super high frequency of 55 GHz. The proposed SIW Y junction is designed on RT Duroid substrate and the measured results demonstrate that The return loss is −44.5668 dB, VSWR at the output port is 1.1 & 1.2 and reflection loss is 0.0059 dB at 55 GHz frequency. Thus, through the study of results, proposed SIW Y junction is very effective for signal transmission with low losses over entire V-band.
{"title":"Design of Y junction in RSIW with chamfered bends for V-band applications","authors":"Tabassum Sayed, Richa Shreyam, Ridhi Garg, Shalini Shah, M. Tripathy","doi":"10.1109/SSPS.2017.8071614","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071614","url":null,"abstract":"This paper concerns the designing, considerations and analysis of Y junction in rectangular substrate integrated waveguide technology using HFSS code. The proposed design unites the advantages such as low fabrication cost, low signal losses, planer profile, easily integrated with the other microwave devices and high performance in microwave application. The transmission coefficients S21 and S 31 shows that the input power (3W) in a waveguide is equally split into −8dB power or combined −8dB power in needed manner by using presented SIW Y junction. The divided E-fields are in same phase as the E-field at the input. The propagation direction of electromagnetic waves is not always straight and if the direction of wave changes in bounded medium, it encounters bending loss which is due to reflection of wave from chamfer less bends. Thus, for direction change in bounded medium without incurring bending loss, chamfer bends have been designed. The study contributes the designing and analysis of chamfered microwave bends in proposed rectangular substrate integrated waveguide. These newly designed bends are optimized in V-band [40–75 GHz] at super high frequency of 55 GHz. The proposed SIW Y junction is designed on RT Duroid substrate and the measured results demonstrate that The return loss is −44.5668 dB, VSWR at the output port is 1.1 & 1.2 and reflection loss is 0.0059 dB at 55 GHz frequency. Thus, through the study of results, proposed SIW Y junction is very effective for signal transmission with low losses over entire V-band.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114147090","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}
Pub Date : 2017-05-01DOI: 10.1109/SSPS.2017.8071647
S. Ancy, K. Cornelius
Big data is the large set of dataset. It involves extraction, selection, analyzing and interpolation of data. Big data is used wide assortment in medical fields for analyzing the patient's medical history, prediction of future effects and clinical decision making. It can also be used as a tool to store large number of data. It helps us to understand the diseases and also paves way to predict the disease and its future effects caused by the disease. In this paper we use RBFNN (Radial Basis Function Neural Network) with classifier algorithm with the use of parameters to determine the condition of a patient as a normal or a kidney failure patient. The proposed method reveals the stages of the kidney failure patient and treatment and clinical decision.
{"title":"A predictive model for kidney failure E-health","authors":"S. Ancy, K. Cornelius","doi":"10.1109/SSPS.2017.8071647","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071647","url":null,"abstract":"Big data is the large set of dataset. It involves extraction, selection, analyzing and interpolation of data. Big data is used wide assortment in medical fields for analyzing the patient's medical history, prediction of future effects and clinical decision making. It can also be used as a tool to store large number of data. It helps us to understand the diseases and also paves way to predict the disease and its future effects caused by the disease. In this paper we use RBFNN (Radial Basis Function Neural Network) with classifier algorithm with the use of parameters to determine the condition of a patient as a normal or a kidney failure patient. The proposed method reveals the stages of the kidney failure patient and treatment and clinical decision.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123448750","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}
Pub Date : 2017-05-01DOI: 10.1109/SSPS.2017.8071594
Vijay Wasule, Poonam Sonar
The classification of the brain MRI is an important task. In this paper, the automatic approach to the classification of brain tumor into malignant Vs. benign and low grade Vs. high grade glioma is present. This method employs GLCM technique to extract the texture features from images and stored as a feature vector. The extracted features were classified using supervised SVM and KNN algorithm. The proposed system is applied on the 251 images (85 malignant and 166 benign) of clinical database and 80 images (50 low grade glioma and 30 high grade glioma) of brats 2012 training database. The accuracy of the proposed system is 96% and 86% for SVM and KNN respectively for clinical database and 85% and 72.50% for SVM and KNN respectively for Brats database.
{"title":"Classification of brain MRI using SVM and KNN classifier","authors":"Vijay Wasule, Poonam Sonar","doi":"10.1109/SSPS.2017.8071594","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071594","url":null,"abstract":"The classification of the brain MRI is an important task. In this paper, the automatic approach to the classification of brain tumor into malignant Vs. benign and low grade Vs. high grade glioma is present. This method employs GLCM technique to extract the texture features from images and stored as a feature vector. The extracted features were classified using supervised SVM and KNN algorithm. The proposed system is applied on the 251 images (85 malignant and 166 benign) of clinical database and 80 images (50 low grade glioma and 30 high grade glioma) of brats 2012 training database. The accuracy of the proposed system is 96% and 86% for SVM and KNN respectively for clinical database and 85% and 72.50% for SVM and KNN respectively for Brats database.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128100255","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}
Pub Date : 2017-05-01DOI: 10.1109/SSPS.2017.8071620
Anuradha Pattekar, Minal Dhanvijay, V. Jadhav, Anjali A. Chaudhari, Rajivkumar Gupta
This paper presents a compact MIMO antenna with dual band operation. S11 < −9.5 dB is achieved over lower band of 2.576–3.728 GHz and upper band of 5.14–5.88 GHz which covers 2.572–2.62 GHz (3GPP), 2.6–2.69 and 3.3–3.7 GHz (4G Wi-Max) and 5.15–5.35, 5.725–5.875 GHz (WLAN) applications. Isolation techniques like ground slots and ground extension are used to achieve a S12 < −20 dB in both the operating bands. The measured results of fabricated antenna structure match with the simulation results. MIMO performance parameter ECC in the lower band is < 0.02 and in higher band is < 0.04 with stable radiation pattern. The proposed antenna has dimension of 28×35×28×1.6 mm3 which makes it feasible to be used within portable devices.
{"title":"Dual-band compact MIMO antenna for 3G, Wi-MAX and WLAN applications","authors":"Anuradha Pattekar, Minal Dhanvijay, V. Jadhav, Anjali A. Chaudhari, Rajivkumar Gupta","doi":"10.1109/SSPS.2017.8071620","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071620","url":null,"abstract":"This paper presents a compact MIMO antenna with dual band operation. S<sup>11</sup> < −9.5 dB is achieved over lower band of 2.576–3.728 GHz and upper band of 5.14–5.88 GHz which covers 2.572–2.62 GHz (3GPP), 2.6–2.69 and 3.3–3.7 GHz (4G Wi-Max) and 5.15–5.35, 5.725–5.875 GHz (WLAN) applications. Isolation techniques like ground slots and ground extension are used to achieve a S<inf>12</inf> < −20 dB in both the operating bands. The measured results of fabricated antenna structure match with the simulation results. MIMO performance parameter ECC in the lower band is < 0.02 and in higher band is < 0.04 with stable radiation pattern. The proposed antenna has dimension of 28×35×28×1.6 mm<sup>3</sup> which makes it feasible to be used within portable devices.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130699153","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}
Pub Date : 2017-05-01DOI: 10.1109/SSPS.2017.8071581
A. Raut
Recent development in smart grid provides real time control and monitoring of the power system which consists of bidirectional communication. Smart grid is required to improve the reliability, efficiency, security and cost effectively power management with implementation of its architecture. By considering all these requirements from consumer side, we make a project based on application of cloud computing which is used for energy management and information management of the smart grid. This project overcome the disadvantages of smart gird without cloud computing. We also implemented the various powers e.g. active and reactive power with compensation provides for reactive power. By using some software programming, we have achieve the real time monitoring for active and reactive power and also use of reactive power compensation (capacitor bank) only for specific time in the system.
{"title":"Real time monitoring of substation by using cloud computing","authors":"A. Raut","doi":"10.1109/SSPS.2017.8071581","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071581","url":null,"abstract":"Recent development in smart grid provides real time control and monitoring of the power system which consists of bidirectional communication. Smart grid is required to improve the reliability, efficiency, security and cost effectively power management with implementation of its architecture. By considering all these requirements from consumer side, we make a project based on application of cloud computing which is used for energy management and information management of the smart grid. This project overcome the disadvantages of smart gird without cloud computing. We also implemented the various powers e.g. active and reactive power with compensation provides for reactive power. By using some software programming, we have achieve the real time monitoring for active and reactive power and also use of reactive power compensation (capacitor bank) only for specific time in the system.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130840644","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}
Pub Date : 2017-05-01DOI: 10.1109/SSPS.2017.8071625
G. Rajalakshmi, A. Gopal, Abhishek Kumar, A. Dinesh Kumar
The Near Infrared Spectroscopy is widely used for qualitative and quantitative analysis of solidand liquid samples. The main food products that are contaminated are milk, honey, fruit juices and olive oil, chili powder, turmeric powder. Thus the identification of the finger print regions of the constituents such as protein, carbohydrates, water content, starch, glucose, sucrose and fructose in rice grains, wheat grains, milk, honey, fruit juices and olive oil, chili powder which helps in discriminating the contaminated food. Honey is a natural sweet substance which is an alternate for sugar. Honey contains a carbohydrate material, which approximately leads to around 95 percent being sugars, and the identity of these sugars has been studied. Sugars are classified depending on their particle size. Dextrose and levulose are the main sugars in honey which are simple sugars, ormonosaccharides, and are the building blocks for the more sugars. The sugars of honey are of simple mixture of dextrose, levulose, and sucrose and defined carbohydrate material called “honey dextrin. The main scope of investigation is to determine the adulterants in honey, which paves the way to mark up the finger print region of moisture, glucose, sucrose and fructose as they are the main constituents in honey.
{"title":"Identification of moisture, glucose, sucrose, fructose region in honey sample using NIR spectroscopy","authors":"G. Rajalakshmi, A. Gopal, Abhishek Kumar, A. Dinesh Kumar","doi":"10.1109/SSPS.2017.8071625","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071625","url":null,"abstract":"The Near Infrared Spectroscopy is widely used for qualitative and quantitative analysis of solidand liquid samples. The main food products that are contaminated are milk, honey, fruit juices and olive oil, chili powder, turmeric powder. Thus the identification of the finger print regions of the constituents such as protein, carbohydrates, water content, starch, glucose, sucrose and fructose in rice grains, wheat grains, milk, honey, fruit juices and olive oil, chili powder which helps in discriminating the contaminated food. Honey is a natural sweet substance which is an alternate for sugar. Honey contains a carbohydrate material, which approximately leads to around 95 percent being sugars, and the identity of these sugars has been studied. Sugars are classified depending on their particle size. Dextrose and levulose are the main sugars in honey which are simple sugars, ormonosaccharides, and are the building blocks for the more sugars. The sugars of honey are of simple mixture of dextrose, levulose, and sucrose and defined carbohydrate material called “honey dextrin. The main scope of investigation is to determine the adulterants in honey, which paves the way to mark up the finger print region of moisture, glucose, sucrose and fructose as they are the main constituents in honey.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128814679","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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