MAPAN最新文献

{"title":"A Novel Multipath Mitigation Tehnique for NavIC SBOC Signal","authors":"T. Subramanya Ganesh,&nbsp;Suresh Dakkumalla,&nbsp;Sharda Vashisth,&nbsp;Amitava Sen Gupta","doi":"10.1007/s12647-025-00817-x","DOIUrl":"10.1007/s12647-025-00817-x","url":null,"abstract":"<div><p>Navigation with Indian Constellation (NavIC), earlier known as the Indian Regional Navigation Satellite System (IRNSS), is an effort made by the Indian Space Research Organization to provide navigation services to the Indian subcontinent and its nearby regions. Since May 2023, NavIC has been providing the Standard Positioning Service (SPS) on three frequency bands, namely, L5 (centered at 1176.45 MHz), S (centered at 2492.028 MHz) and L1 (centered at 1575.42 MHz) through its newest satellite, NVS-01, launched on May 29, 2023. The SPS signal broadcast in the L1 Band of NVS-01, employs Synthesized Binary Offset Carrier (SBOC) modulation scheme. An important and vital subsystem of the NavIC ground segment is the network of IRNSS Range and Integrity Monitoring Stations (IRIMS). The fundamental measurement engine of an IRIMS station is the NavIC reference receiver. One of the dominant sources of noise for a reference receiver is signal multipath. Traditional multipath mitigation methods such as High Resolution Correlator perform well for Binary Phase Shift Keying signals. However, this method is not optimal for multipath mitigation of SBOC signals. A novel method for the mitigation of multipath effect has been investigated and has been developed for SBOC signals using the shaping of S-curve. This technique performs exceptionally well in the mitigation of multipath experienced by SBOC signals like the NavIC L1 signal. This paper details the novel method developed and the results obtained. The paper also provides a comparative performance analysis of the multipath mitigation in SBOC signals by the new method with that of other methods.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"40 2","pages":"507 - 521"},"PeriodicalIF":1.3,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145165097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance Analysis and Environmental Evaluation of a Photovoltaic Thermal (PVT) Air Collector Solar Dryer","authors":"Trapti Varshney,&nbsp;Sanjay Agrawal,&nbsp;Jitendra Kumar,&nbsp;Satish Kumar","doi":"10.1007/s12647-025-00818-w","DOIUrl":"10.1007/s12647-025-00818-w","url":null,"abstract":"<div><p>Solar thermal technology holds significant potential for widespread utilization in the drying of agricultural and industrial commodities, effectively addressing challenges related to storage and transportation. This research seeks to evaluate the thermo-electrical performance of a forced-air convection-based PVT air-collector for drying tomatoes. Simulations were conducted in Ghaziabad City, India, considering local atmospheric conditions viz. solar irradiance intensity, ambient temperature, and the relative humidity of four different days from 7th–10th August 2023. The proposed dryer system comprises a PVT air-collector designed to provide both thermal and enhanced electrical energy, alongside a drying chamber, heat recovery system, and DC fan. Results indicate average thermal, electrical, and overall efficiencies of 36.04%, 12.09%, and 48.83%, respectively, for the PVT air-collector based solar dryer. Over a 20-h drying period, tomato moisture content decreases from 78% to 8.5%. Moreover, as air velocity rises from 0.5 m/s to 2 m/s, the average moisture content decreases from 22.55% to 16.693%, indicating accelerated moisture elimination at higher air velocities. The innovative dryer demonstrates its potential for reducing energy consumption and subsequent CO₂ emissions in the food processing sector.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"40 3","pages":"651 - 666"},"PeriodicalIF":1.3,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145242742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficient DER Coordination for Grid Reliability in the Indian Power Sector Under Meteorological and Metrological Variability","authors":"Praveen Kumar,&nbsp;Anil Kumar Yadav,&nbsp;S. K. Jha,&nbsp;Vivek Saxena","doi":"10.1007/s12647-025-00814-0","DOIUrl":"10.1007/s12647-025-00814-0","url":null,"abstract":"<div><p>This study investigates the integration of distributed energy resources (DERs) to enhance the efficiency and cost-effectiveness of distribution networks (DNs) while considering both meteorological and metrological variability. The primary objective is to optimize the operation of battery energy storage systems (BESS) in coordination with demand response (DR) strategies, addressing uncertainties in wind power generation and the integration of shunt capacitors (SCs). A key aspect of this research is the precise measurement and calibration of wind speed data to ensure accurate stochastic modeling, which is critical for optimizing power system operations. The study employs metrological techniques to validate wind power predictions, ensuring the reliability of input data used for optimization. A multi-objective optimization framework is proposed, integrating time-of-use demand response mechanisms while maintaining voltage stability across all nodes. The stochastic nature of wind generation is modeled based on historical meteorological data, which is refined through metrological validation methods. The Non-Dominated Sorting Genetic Algorithm II (NSGA-II) is utilized to derive the Pareto optimal front (POF), which is further evaluated using the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) to identify the most balanced solution. The methodology is tested on two systems: a standard 33-bus DN and a realistic 108-bus radial DN representing Indian conditions. Results indicate that the coordinated operation of DERs significantly reduces power losses and grid demand costs while maintaining operational performance under varying meteorological conditions. By incorporating metrological validation in wind power scenario modeling, this study ensures data accuracy and enhances the technical and economic performance of DNs. The findings highlight the importance of integrating demand response programs, stochastic wind generation models, and BESS with SCs, providing a robust strategy for sustainable and resilient power system operations.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"40 3","pages":"629 - 650"},"PeriodicalIF":1.3,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145242744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preparation of Colloidal Silica Solution in Various Electromagnetic Fields and Investigation of the Colloidal Solution’s Molecular Structure and Optical Properties","authors":"Israa F. AL-Sharuee,&nbsp;Ruaa A. Mohammed","doi":"10.1007/s12647-025-00813-1","DOIUrl":"10.1007/s12647-025-00813-1","url":null,"abstract":"<div><p>Specifically, the process of creating the particles using a modified sol-gel method and synthesizing them in a uniform, non-dispersed form was the focus of the investigation. The synthesis of silica nanoparticles, which are particles with a diameter of less than 20 nanometers, was the subject of the study. In the course of the numerous condensation processes that take place in the silica solution, the processes of organizing particles through the magnetic field integration mechanism are powerful and possess a particular energy. It is dependent on the method that is used to modify the pH, the intensity of the magnetic field, and also the time that will affect the length of exposure of the distributed silica nanoparticles particularly. This is because it will be feasible to correctly control the size of these particles in the future. The outcome will depend on how these elements change. By using it, the size of the nanoparticles that have been prepared can either be decreased or raised, depending on the capacity of the material that has been prepared. Through the utilization of dynamic light scattering, an investigation into the relationship between the magnetic field and the size and distribution of silica particles is being taken. Because of the process that influences the introduction of particles into production, medical, military, or other applications depending on the materials that are utilized, this study will be important in the future for modifying the size of particles and their many applications.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"40 2","pages":"497 - 505"},"PeriodicalIF":1.3,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Temperature-Assisted Defect Detection in Rotating Machinery by Using Infrared Thermography Integrated Modified Artificial Neural Network-Based Image Processing: A Step Towards Futuristic Metrology","authors":"Ekta Yadav,&nbsp;V. K. Chawla","doi":"10.1007/s12647-025-00812-2","DOIUrl":"10.1007/s12647-025-00812-2","url":null,"abstract":"<div><p>This work presents an advanced metrology method for defect detection in rotating machine components using infrared thermography integrated modified artificial neural network (MANN) based image processing in a real-time manner. The proposed method utilizes the precise, accurate metrological features of infrared thermography, which are highly useful in accurate defect detection. Infrared thermography images are pre-processed by converting them to greyscale images, and then a median filter is used to remove the noise from the images. Thereafter, the proposed MANN method is used via MATLAB program for fault detection and finding the accurate location of the fault. The quantitative analysis is performed on synthetic star images using performance metrics like accuracy, Jaccard similarity index, Dice similarity index, Sensitivity, and Precision. The resulting yield of the proposed method is measured and compared with the yield of various benchmark edge-based segmentation methods from the literature, and it is found that the proposed MANN method is relatively accurate at 98.92% and 94.92% precise. The proposed method is validated using a real-time experimental setup with a FLIR ONE PRO LT iOS Pro-Grade android-fitted infrared thermography camera to capture the experimental setup images in running condition. The three different conditions of the rotating machine are identified as healthy state at 25 °C, defective state at 50 °C, and defect start to arise state at 45.5 °C. These three conditions in the experimental setup are further automated for easy identification of machine state and shown with the help of blinking of three different LED color lights, red color LED represents the defective condition, blue color LED represents the defect starting to arise condition and white color LED represents the healthy condition. The proposed method offers robust accuracy and reliability by aligning it to metrological principles, making it suitable for advanced industry 4.0 setups and industrial applications.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"40 2","pages":"477 - 495"},"PeriodicalIF":1.3,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Novel Remote Calibration Method of Length Value: Based on Optical Fiber Information Transmission","authors":"Lide Fang,&nbsp;Xuyang Sun,&nbsp;Hengzheng Kong,&nbsp;Honglian Li,&nbsp;Mingjing Chen,&nbsp;Weihua Meng","doi":"10.1007/s12647-025-00811-3","DOIUrl":"10.1007/s12647-025-00811-3","url":null,"abstract":"<div><p>The length of calibration is related to the national economy and people’s livelihood. The traditional calibration of length value was sent the uncalibrated instrument to the laboratory, and the intrinsic error of the tested instrument was obtained in the laboratory. However, calibrating the instrument on the site produced additional errors. In this article, a remote calibration method of length measurement based on optical fiber information transmission followed by a proof of principle system was studied to reduce the additional error. The 1.0-level displacement guide rail was calibrated according to this method. The results showed that the relative error of guide rail displacement under different lengths was within 0.6%. The calibration results meet the actual standards of the guide rail. This optical method is a good candidate for remote calibration.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"40 2","pages":"311 - 324"},"PeriodicalIF":1.3,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145161881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Texture Characterization of Bipolar Hip Joint Medical Implants Using Optical Methods","authors":"Mayank Mathur,&nbsp;Nitin Paliwal,&nbsp;Sandeep Kumar,&nbsp;Kuldeep Kumar,&nbsp;Surya Kumar Gautam,&nbsp;Mukesh Jewariya","doi":"10.1007/s12647-025-00810-4","DOIUrl":"10.1007/s12647-025-00810-4","url":null,"abstract":"<div><p>Medical implants, such as prosthetic joints, dental implants, and cardiovascular devices, have revolutionized patient care by restoring normal functionality and improving quality of life. However, to ensure optimal biocompatibility and long –term success, it is crucial to characterize the texture of these implants thoroughly. Texture characterization plays a vital role in evaluating the surface properties, roughness and topography of medical implants, enabling their enhanced design, manufacturing, and functional outcomes. This aims to explore the significance of texture characterization in medical implants especially bipolar hip joint and its implications on biocompatibility and performance.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"40 2","pages":"471 - 476"},"PeriodicalIF":1.3,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145170739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Remote Calibration of Sundials of Jantar Mantar Jaipur Rajasthan and its Traceability with IST","authors":"Pranalee Premdas Thorat,&nbsp;Ravinder Agarwal,&nbsp;Achanta VenuGopal","doi":"10.1007/s12647-025-00805-1","DOIUrl":"10.1007/s12647-025-00805-1","url":null,"abstract":"<div><p>Sundials, ancient timekeeping devices, require precise calibration for accurate time measurement. Technological advancements have significantly evolved calibration methods, now including widely available remote calibration techniques. This scientific paper delves into the uniqueness of the world’s largest gnomon sundials at Jantar Mantar, Jaipur, India. It examines the various methods and factors involved in sundial calibration and details the remote calibration technique used to assess the performance of this archaeological marvel. The paper also discusses the calibration results, offering insights that may aid researchers, horologists, and enthusiasts in enhancing the functionality and reliability of sundials in both historical and contemporary contexts.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"40 2","pages":"459 - 469"},"PeriodicalIF":1.3,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative Analysis Between LMD and WDLMD for Identifying Suitability in Measuring Chatter Features During Turning Operation on CNC Lathe","authors":"Pankaj Gupta,&nbsp;Sunil Kumar,&nbsp;Yogesh Shrivastava","doi":"10.1007/s12647-025-00809-x","DOIUrl":"10.1007/s12647-025-00809-x","url":null,"abstract":"<div><p>Manufacturing industries' top priority in the current competitive environment is to increase productivity by reducing production costs. This can only be accomplished by improving Metal Removal Rate (MRR) while maintaining high tolerance and superior surface quality products. One issue that restricts the MRR in industries is tool chatter. In this paper, authors have compared two advanced computational methodology in order to predict stable machining zone during turning. Firstly, predict the stable machining zone using Local Mean Decomposition (LMD) for preprocessing of raw data and trained with Artificial Neural network. Further, compare this methodology with Wavelet Denoising and Local Mean Decomposition technique for preprocessing of data and trained with Adaptive Neuro-Fuzzy Inference System. From the analysis it has been found that, spindle speed can be raised to increase stability during machining. Nevertheless, significant chatter is seen when the depth of cut and feed rate are increased. Finally, additional experiments have been conducted to verify the validity of the suggested methodology.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"40 2","pages":"445 - 458"},"PeriodicalIF":1.3,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145165642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detuning Estimation Measurement Uncertainty Quantification Using Descriptive Statistics","authors":"Rajesh T. Keshwani,&nbsp;S. Mukhopadhyay,&nbsp;R. D. Gudi,&nbsp;Gopal Joshi","doi":"10.1007/s12647-025-00808-y","DOIUrl":"10.1007/s12647-025-00808-y","url":null,"abstract":"<div><p>Accurate estimation of Radio frequency (RF) cavity detuning is one of the important aims for controlling and monitoring of the particle accelerator used for beam acceleration. A methodological research is needed to achieve the aim of obtaining an accurate, unbiased and consistent detuning estimator. In the past, various estimation techniques for determination of RF cavity detuning have been applied. Methods like least squares, cavity parameter identification, linear and nonlinear observers have been employed for normal conducting and superconducting RF cavities. Apart from other methods, the Kalman filter has been employed by a few practitioners in the case of superconducting cavities. The Kalman filter is based on a stochastic state space framework, and it accounts for practical issues like model uncertainty and measurement noise in estimation of states and parameters. The behavioral model of a superconducting RF cavity is nonlinear due to the squared dependence of cavity detuning on the electric field inside it. Detuning being unmeasurable, is estimated from models and measured quantities. In general, a nonlinear system needs to use a nonlinear estimator for accuracy and low variability estimates. In this paper, we aim to quantify the uncertainty in detuning estimated by Kalman filter, extended Kalman filter and unscented Kalman filter for superconducting RF cavity. This aim has been achieved by characterization of noise from simulated results. Moments of the underlying probability distribution function of noise are determined as noise propagates through these filters. Tools such as quantile plots and descriptive statistics are used in this work to compare various cases quantitatively and arrive at important conclusions.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"40 2","pages":"429 - 444"},"PeriodicalIF":1.3,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12647-025-00808-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}