Pub Date : 2024-01-29DOI: 10.1109/ICOCWC60930.2024.10470729
Akhilendra Pratap Singh, Deeplata Sharma, Soumya K
Cell computing has seen a marked evolution over the past many years, beginning with text-primarily based interactions among carrier and device customers and progressing to visually pushed reports primarily based on large screens and touch inputs. Early mobile phones featured bodily keypads that enabled users to interact with the tool via written instructions, such as coming in with cellphone numbers and sending text messages. This approach changed into nicely appropriate for brief data retrieval and typing in brief bursts. As the generation matured, touchscreens became a more popular entry method. The creation of gestures, such as swiping and multi-contact, revolutionized the manner customers interacted with their gadgets, allowing them to freely discover and access content in a green and intuitive way. Moreover, larger bodily sizes coupled with excessive-decision presentations allowed customers to control content and better appreciate the visuals easily. The evolution of cell computing has additionally created a platform for bringing collectively disparate technologies. Cellular apps, for example, are able to combine text, photographs, sound, and video to offer a multi-modal reveal for users. It has made using cell devices more engaging and enabled customers to interaction with complex structures in an optimized form thing.
{"title":"Evolution of Mobile Computing: From Text-Based to Visual-Based Interactions","authors":"Akhilendra Pratap Singh, Deeplata Sharma, Soumya K","doi":"10.1109/ICOCWC60930.2024.10470729","DOIUrl":"https://doi.org/10.1109/ICOCWC60930.2024.10470729","url":null,"abstract":"Cell computing has seen a marked evolution over the past many years, beginning with text-primarily based interactions among carrier and device customers and progressing to visually pushed reports primarily based on large screens and touch inputs. Early mobile phones featured bodily keypads that enabled users to interact with the tool via written instructions, such as coming in with cellphone numbers and sending text messages. This approach changed into nicely appropriate for brief data retrieval and typing in brief bursts. As the generation matured, touchscreens became a more popular entry method. The creation of gestures, such as swiping and multi-contact, revolutionized the manner customers interacted with their gadgets, allowing them to freely discover and access content in a green and intuitive way. Moreover, larger bodily sizes coupled with excessive-decision presentations allowed customers to control content and better appreciate the visuals easily. The evolution of cell computing has additionally created a platform for bringing collectively disparate technologies. Cellular apps, for example, are able to combine text, photographs, sound, and video to offer a multi-modal reveal for users. It has made using cell devices more engaging and enabled customers to interaction with complex structures in an optimized form thing.","PeriodicalId":518901,"journal":{"name":"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)","volume":"66 36","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529742","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 : 2024-01-29DOI: 10.1109/ICOCWC60930.2024.10470777
Puneet Agarwal, Bhuvana J, Bhuvnesh Sharma
Designing software program answers for high-performance communications in community packages is complex. It calls for cautious attention to the underlying community hardware, protocols, and algorithms. The goal is to create a communique machine with minimal latency and go-platform compatibility while maintaining robust safety and imparting excessive throughput. Designing high-overall performance conversation software should remember the wishes of the software. For example, an internet server wishes to acquire and respond to many requests concurrently; thus, the community should efficiently present more than one simultaneous connection. Then again, a video streaming application will require the network to handle heavy visitors without experiencing unexpected delays or packet loss. The demanding situations of designing a communications software device are further exacerbated using the complexity of today's networks. Exclusive protocols ever require unique optimizations and adjustments to maximize overall performance. Community topology and the environment, including the nature of the relationship kind, must also be considered. Similarly, selecting protocols is a crucial issue, as each has its benefits and barriers. To navigate these complexities efficaciously, software program developers must have widespread enjoyment and profound know-how of each protocol and community environment. They must additionally apprehend the interaction among the additives of the network; the development of excessive-overall performance conversation software layout for network applications is a challenging mission for software program engineers and builders. Despite challenges with variable community situations, stop-consumer requirements, and a wide range of gadgets, reliable and excessive overall performance software must be designed for these networks. Designing for excessive-performance communications software entails the attention and assessment of numerous factors, expertise, and looking forward to personal requirements, bandwidth optimization, latency discount, protocol optimization, and more. Via incorporating strategies including using server-aspect answers, using caching, compression, and statistics streamlining, green usage of shipping-layer protocols and protocols for communications-software programs, and optimizing algorithm and statistics structures, developers can make sure that their software program designs are optimized for high-performance and reliability. Thru an aggregate of the right community and hardware layout, an effective combination of algorithms and information structures, and optimization to ensure reliability and excessive-overall performance, communications software programs for community applications may be designed and applied.
{"title":"Designing Solutions for High-Performance Communications Software Design in Network Applications","authors":"Puneet Agarwal, Bhuvana J, Bhuvnesh Sharma","doi":"10.1109/ICOCWC60930.2024.10470777","DOIUrl":"https://doi.org/10.1109/ICOCWC60930.2024.10470777","url":null,"abstract":"Designing software program answers for high-performance communications in community packages is complex. It calls for cautious attention to the underlying community hardware, protocols, and algorithms. The goal is to create a communique machine with minimal latency and go-platform compatibility while maintaining robust safety and imparting excessive throughput. Designing high-overall performance conversation software should remember the wishes of the software. For example, an internet server wishes to acquire and respond to many requests concurrently; thus, the community should efficiently present more than one simultaneous connection. Then again, a video streaming application will require the network to handle heavy visitors without experiencing unexpected delays or packet loss. The demanding situations of designing a communications software device are further exacerbated using the complexity of today's networks. Exclusive protocols ever require unique optimizations and adjustments to maximize overall performance. Community topology and the environment, including the nature of the relationship kind, must also be considered. Similarly, selecting protocols is a crucial issue, as each has its benefits and barriers. To navigate these complexities efficaciously, software program developers must have widespread enjoyment and profound know-how of each protocol and community environment. They must additionally apprehend the interaction among the additives of the network; the development of excessive-overall performance conversation software layout for network applications is a challenging mission for software program engineers and builders. Despite challenges with variable community situations, stop-consumer requirements, and a wide range of gadgets, reliable and excessive overall performance software must be designed for these networks. Designing for excessive-performance communications software entails the attention and assessment of numerous factors, expertise, and looking forward to personal requirements, bandwidth optimization, latency discount, protocol optimization, and more. Via incorporating strategies including using server-aspect answers, using caching, compression, and statistics streamlining, green usage of shipping-layer protocols and protocols for communications-software programs, and optimizing algorithm and statistics structures, developers can make sure that their software program designs are optimized for high-performance and reliability. Thru an aggregate of the right community and hardware layout, an effective combination of algorithms and information structures, and optimization to ensure reliability and excessive-overall performance, communications software programs for community applications may be designed and applied.","PeriodicalId":518901,"journal":{"name":"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)","volume":"54 23","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529897","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 : 2024-01-29DOI: 10.1109/ICOCWC60930.2024.10470930
Monika Abrol, Rajendra P. Pandey, Rahul Pawar
the development of computerized strategies for item-orientated image evaluation in Hyper Spectral photos (HSI), an emerging field of applying machine-gaining knowledge of synthetic intelligence, has ended up an increasing number of crucial in a selection of domain names. This kind of analysis calls for a particular and correct illustration of the gadgets of interest from the hyperspectral photos. For this reason, characteristic extraction, classifiers, and clustering techniques have been proposed if you want to come across and classify them greenly. The maximum, not unusual feature extraction techniques used to extract statistics from HSI consist of radiometry, spectral band shapes, and spectral correlation. These function extraction strategies produce specific characteristic descriptors that can be utilized in aggregate with item classifiers and clustering solutions to detect and classify the objects gift in the HSI. Characteristic extraction strategies, together with Radiometric Normalized distinction flora Index (NDVI) and significant components analysis (PCA), have been observed to achieve success in numerous scenarios. Classifiers, linear and nonlinear SVM, neural networks, and choice bushes are the most famous strategies for reading HSI. Using a single this kind of strategy has been seen to offer the most straightforward restricted outcomes; however, using a combination of those strategies has been visible to enhance the classification performance.
{"title":"Development of Automated Techniques for Object-Oriented Image Analysis in Hyper Spectral Images","authors":"Monika Abrol, Rajendra P. Pandey, Rahul Pawar","doi":"10.1109/ICOCWC60930.2024.10470930","DOIUrl":"https://doi.org/10.1109/ICOCWC60930.2024.10470930","url":null,"abstract":"the development of computerized strategies for item-orientated image evaluation in Hyper Spectral photos (HSI), an emerging field of applying machine-gaining knowledge of synthetic intelligence, has ended up an increasing number of crucial in a selection of domain names. This kind of analysis calls for a particular and correct illustration of the gadgets of interest from the hyperspectral photos. For this reason, characteristic extraction, classifiers, and clustering techniques have been proposed if you want to come across and classify them greenly. The maximum, not unusual feature extraction techniques used to extract statistics from HSI consist of radiometry, spectral band shapes, and spectral correlation. These function extraction strategies produce specific characteristic descriptors that can be utilized in aggregate with item classifiers and clustering solutions to detect and classify the objects gift in the HSI. Characteristic extraction strategies, together with Radiometric Normalized distinction flora Index (NDVI) and significant components analysis (PCA), have been observed to achieve success in numerous scenarios. Classifiers, linear and nonlinear SVM, neural networks, and choice bushes are the most famous strategies for reading HSI. Using a single this kind of strategy has been seen to offer the most straightforward restricted outcomes; however, using a combination of those strategies has been visible to enhance the classification performance.","PeriodicalId":518901,"journal":{"name":"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)","volume":"38 12","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529997","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 aims to evaluate the performance of numerous deep-gaining knowledge of fashions for detecting Uterine Sarcoma via Time series evaluation. Uterine Sarcoma is a malignant tumor that influences the uterus and different parts of the woman's reproductive machine. Time collection analysis techniques have been broadly used in scientific fact mining, specifically for clinical records, because of their capability to capture temporal traits of the data. In this look, quite several deeps getting to know fashions which include Convolutional Neural Networks (CNNs), long brief-time period reminiscence (LSTM), and Self-Organizing Maps (SOMs), were evaluated at the MIMIC-III database-the use of metrics such as accuracy, precision and bear in mind. The results showed that the CNN had the highest accuracy (zero.99%) and precision (zero.75%) and did not forget (0.90%) in predicting Uterine Sarcoma when compared with the opposite models. This examination serves as a starting point for a similar investigation into the potential capabilities of deep mastering for detecting Uterine Sarcoma and other illnesses in medical statistics. This paper evaluates deep learning processes for time series evaluation to hit upon uterine sarcoma. The strategies used in this examination are Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs). To assess the performance of the networks, the dataset from the yank university of Radiology (ACR) Uterine Sarcoma Imaging and Research Database changed used. The networks were evaluated for accuracy, sensitivity, and specificity. Moreover, the RNNs and CNNs were compared to evaluate their performance. The results show that the CNN performs better than the RNN with an accuracy of ninety-seven. 50%, a sensitivity of 95.05%, and specificity of ninety-nine. 25%. It is steady with previous studies implementing deep learning techniques for medical photograph evaluation. The outcomes of this observation reveal that both RNN and CNN are appropriate for diagnosing uterine sarcoma and that the CNN version is more excellent and correct for the assignment to hand.
{"title":"Assessing Deep Learning Approaches for Time Series Analysis to Detect Uterine Sarcoma","authors":"Gaurav Shukla, Meenakshi Dheer, Ramkumar Krishnamoorthy","doi":"10.1109/ICOCWC60930.2024.10470619","DOIUrl":"https://doi.org/10.1109/ICOCWC60930.2024.10470619","url":null,"abstract":"This paper aims to evaluate the performance of numerous deep-gaining knowledge of fashions for detecting Uterine Sarcoma via Time series evaluation. Uterine Sarcoma is a malignant tumor that influences the uterus and different parts of the woman's reproductive machine. Time collection analysis techniques have been broadly used in scientific fact mining, specifically for clinical records, because of their capability to capture temporal traits of the data. In this look, quite several deeps getting to know fashions which include Convolutional Neural Networks (CNNs), long brief-time period reminiscence (LSTM), and Self-Organizing Maps (SOMs), were evaluated at the MIMIC-III database-the use of metrics such as accuracy, precision and bear in mind. The results showed that the CNN had the highest accuracy (zero.99%) and precision (zero.75%) and did not forget (0.90%) in predicting Uterine Sarcoma when compared with the opposite models. This examination serves as a starting point for a similar investigation into the potential capabilities of deep mastering for detecting Uterine Sarcoma and other illnesses in medical statistics. This paper evaluates deep learning processes for time series evaluation to hit upon uterine sarcoma. The strategies used in this examination are Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs). To assess the performance of the networks, the dataset from the yank university of Radiology (ACR) Uterine Sarcoma Imaging and Research Database changed used. The networks were evaluated for accuracy, sensitivity, and specificity. Moreover, the RNNs and CNNs were compared to evaluate their performance. The results show that the CNN performs better than the RNN with an accuracy of ninety-seven. 50%, a sensitivity of 95.05%, and specificity of ninety-nine. 25%. It is steady with previous studies implementing deep learning techniques for medical photograph evaluation. The outcomes of this observation reveal that both RNN and CNN are appropriate for diagnosing uterine sarcoma and that the CNN version is more excellent and correct for the assignment to hand.","PeriodicalId":518901,"journal":{"name":"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)","volume":"50 12","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529909","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 : 2024-01-29DOI: 10.1109/ICOCWC60930.2024.10470502
Laxmi Goswami, Ashish Bishnoi, A. Kannagi
The combination of low-energy statistics is an excellent sized aspect of contemporary strength rules and policy. Powerful synthesis and aggregation of those sources can inform decisions and affect movements that have substantial effects. Bootstrap weighted technology (BWE) is a data aggregation method used in electricity studies and coverage. This evaluation examines the capacity of BWE for low-strength facts synthesis. Focusing on the deployed technology and their respective abilities, the benefits of BWE are apparent. BWE captures the nuanced complexities of low-energy data through its weighted vector method while imparting a well-known understanding of targeted areas. Furthermore, thru the aggregation of various resources of low-energy facts, BWE can offer a much extra comprehensive assessment than might otherwise be possible. As a result, this presents choice-makers with a more feel of self-assurance when making power-associated selections or guidelines. The improvement and successful application of BWE for low-power records collection continue to be an area of energetic studies, and ongoing refinements and optimizations are likely to result in more practical effects. Bootstrap weighted generation (BWERA) is a progressive, non-parametric statistical method for low-strength facts aggregation. The technique takes the benefit of energy resolution averaging (generation) and employs bootstrap strategies to improve the robustness of consequences within the presence of significant outliers. The approach is appropriate for scenarios wherein uncooked records are lacking or are unfastened by noise. BWERA affords a manner to use some facts points for inferring otherwise unknown houses, including the form of the electricity spectrum. This examination seeks to discuss the capability of BWERA for low-energy statistics aggregation and its implications for experimental design and statistics evaluation. To begin with, the authors speak about the motivations for the usage of BWERA. They explain that the method may be high quality because it could offer data inference and averaging in situations with restricted facts and noise-unfastened information. Moreover, it is a computationally efficient method, and its usage with non-parametric inference is attractive due to the difficulty of occasionally developing correct parametric fashions. Ultimately, the authors spotlight the benefits of using Bootstrap to create self-assurance bounds instead of error bar estimation..
{"title":"A Discussion of the Potential for Bootstrap Weighted-ERA for Low-Energy Data Aggregation","authors":"Laxmi Goswami, Ashish Bishnoi, A. Kannagi","doi":"10.1109/ICOCWC60930.2024.10470502","DOIUrl":"https://doi.org/10.1109/ICOCWC60930.2024.10470502","url":null,"abstract":"The combination of low-energy statistics is an excellent sized aspect of contemporary strength rules and policy. Powerful synthesis and aggregation of those sources can inform decisions and affect movements that have substantial effects. Bootstrap weighted technology (BWE) is a data aggregation method used in electricity studies and coverage. This evaluation examines the capacity of BWE for low-strength facts synthesis. Focusing on the deployed technology and their respective abilities, the benefits of BWE are apparent. BWE captures the nuanced complexities of low-energy data through its weighted vector method while imparting a well-known understanding of targeted areas. Furthermore, thru the aggregation of various resources of low-energy facts, BWE can offer a much extra comprehensive assessment than might otherwise be possible. As a result, this presents choice-makers with a more feel of self-assurance when making power-associated selections or guidelines. The improvement and successful application of BWE for low-power records collection continue to be an area of energetic studies, and ongoing refinements and optimizations are likely to result in more practical effects. Bootstrap weighted generation (BWERA) is a progressive, non-parametric statistical method for low-strength facts aggregation. The technique takes the benefit of energy resolution averaging (generation) and employs bootstrap strategies to improve the robustness of consequences within the presence of significant outliers. The approach is appropriate for scenarios wherein uncooked records are lacking or are unfastened by noise. BWERA affords a manner to use some facts points for inferring otherwise unknown houses, including the form of the electricity spectrum. This examination seeks to discuss the capability of BWERA for low-energy statistics aggregation and its implications for experimental design and statistics evaluation. To begin with, the authors speak about the motivations for the usage of BWERA. They explain that the method may be high quality because it could offer data inference and averaging in situations with restricted facts and noise-unfastened information. Moreover, it is a computationally efficient method, and its usage with non-parametric inference is attractive due to the difficulty of occasionally developing correct parametric fashions. Ultimately, the authors spotlight the benefits of using Bootstrap to create self-assurance bounds instead of error bar estimation..","PeriodicalId":518901,"journal":{"name":"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)","volume":"56 43","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529885","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 : 2024-01-29DOI: 10.1109/ICOCWC60930.2024.10470629
Davendra Kumar Doda, M.S. Nidhya, Kalyan Acharjya
Automated synthesizable internal power-gating (ASIPG) offers a promising technology for enhancing the power efficiency of application precise included Circuits (ASICs). This research evaluates the possible impact of using ASIPG for the electricity efficiency of an ASIC. Multiple methods of ASIC strength consumption are tested, which include fixed voltage and frequency, dynamic frequency scaling, and strength-gating. Chip-degree information from two ASICs processing the CNN and GEMM kernels are provided to demonstrate the efficiency of ASIPG compared to traditional power-gating. The evaluation process compares the strength performance and price performance of designs that rent and do not hire ASIPG. Results suggest that designs based on ASIPG display stepped forward power performance by means of over 26% for the CNN kernel as compared to a traditional electricity-gating design and 19% for the GEMM kernel. These outcomes guide the potential of ASIPG to enhance power efficiency for ASIC designs.
{"title":"An Investigation into the Impact of Using Automated Synthesisable Internal Power-Gating on Improved Power Efficiency for ASICs","authors":"Davendra Kumar Doda, M.S. Nidhya, Kalyan Acharjya","doi":"10.1109/ICOCWC60930.2024.10470629","DOIUrl":"https://doi.org/10.1109/ICOCWC60930.2024.10470629","url":null,"abstract":"Automated synthesizable internal power-gating (ASIPG) offers a promising technology for enhancing the power efficiency of application precise included Circuits (ASICs). This research evaluates the possible impact of using ASIPG for the electricity efficiency of an ASIC. Multiple methods of ASIC strength consumption are tested, which include fixed voltage and frequency, dynamic frequency scaling, and strength-gating. Chip-degree information from two ASICs processing the CNN and GEMM kernels are provided to demonstrate the efficiency of ASIPG compared to traditional power-gating. The evaluation process compares the strength performance and price performance of designs that rent and do not hire ASIPG. Results suggest that designs based on ASIPG display stepped forward power performance by means of over 26% for the CNN kernel as compared to a traditional electricity-gating design and 19% for the GEMM kernel. These outcomes guide the potential of ASIPG to enhance power efficiency for ASIC designs.","PeriodicalId":518901,"journal":{"name":"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)","volume":"55 26","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529892","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 : 2024-01-29DOI: 10.1109/ICOCWC60930.2024.10470679
D. Yadav, Pramod Kumar Faujdar, Sanjeev Kumar Mandal
This technical summary discusses the layout and fabrication of high-sensitivity MEMS strain sensors for aerospace applications. There may be a need for fairly particular and dependable pressure sensors that can screen the stress in the plane cabin, gas tanks, and different systems. MEMS pressure sensors are appropriate for such programs because they provide improved accuracy, flexibility, and strength consumption. The design of high-sensitivity MEMS strain sensors for aerospace programs needs to remember some of the necessities that are unique to such programs. As an example, the sensor needs to be capable of resisting the excessive temperatures and pressures associated with operations at high altitudes, as well as the potentially corrosive and extraordinarily electrically conductive environment of the cabin. The sensors need to additionally provide excessive sensitivity and speedy reaction times at the same time as keeping excessive accuracy and stability. A number of fabrication and design techniques may be applied. As an example, using lasers, photolithography, thin movie deposition, etching, and different microfabrication techniques can permit the fabrication of excessive decision MEMS systems with extraordinarily small characteristic sizes.
{"title":"Design and Fabrication of High Sensitivity MEMS Pressure Sensors for Aerospace Applications","authors":"D. Yadav, Pramod Kumar Faujdar, Sanjeev Kumar Mandal","doi":"10.1109/ICOCWC60930.2024.10470679","DOIUrl":"https://doi.org/10.1109/ICOCWC60930.2024.10470679","url":null,"abstract":"This technical summary discusses the layout and fabrication of high-sensitivity MEMS strain sensors for aerospace applications. There may be a need for fairly particular and dependable pressure sensors that can screen the stress in the plane cabin, gas tanks, and different systems. MEMS pressure sensors are appropriate for such programs because they provide improved accuracy, flexibility, and strength consumption. The design of high-sensitivity MEMS strain sensors for aerospace programs needs to remember some of the necessities that are unique to such programs. As an example, the sensor needs to be capable of resisting the excessive temperatures and pressures associated with operations at high altitudes, as well as the potentially corrosive and extraordinarily electrically conductive environment of the cabin. The sensors need to additionally provide excessive sensitivity and speedy reaction times at the same time as keeping excessive accuracy and stability. A number of fabrication and design techniques may be applied. As an example, using lasers, photolithography, thin movie deposition, etching, and different microfabrication techniques can permit the fabrication of excessive decision MEMS systems with extraordinarily small characteristic sizes.","PeriodicalId":518901,"journal":{"name":"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)","volume":"59 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529611","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 : 2024-01-29DOI: 10.1109/ICOCWC60930.2024.10470708
Zirui Feng
Image processing technology is an important branch in the digital age, and its application in art design has penetrated into various fields. Whether it is graphic design, three-dimensional modeling, or film and television special effects, image processing technology provides artists and designers with unprecedented creative possibilities. This paper will deeply analyze the image processing technology, and discuss its application and challenges in art design.
{"title":"Design and Implementation of Art Design System based on Image Processing Technology","authors":"Zirui Feng","doi":"10.1109/ICOCWC60930.2024.10470708","DOIUrl":"https://doi.org/10.1109/ICOCWC60930.2024.10470708","url":null,"abstract":"Image processing technology is an important branch in the digital age, and its application in art design has penetrated into various fields. Whether it is graphic design, three-dimensional modeling, or film and television special effects, image processing technology provides artists and designers with unprecedented creative possibilities. This paper will deeply analyze the image processing technology, and discuss its application and challenges in art design.","PeriodicalId":518901,"journal":{"name":"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)","volume":"47 5","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529654","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 : 2024-01-29DOI: 10.1109/ICOCWC60930.2024.10470666
G. D, Ramakant Upadhyay, Ashendra Kumar Saxena
the overall performance of satellite communication links is extraordinarily established upon the spatial distribution of transmitted radiation. This distribution is managed by means of the antenna beam sample, which is a measure of the relative power emitted in one-of-a-kind directions from the antenna. The shape of the beam drastically impacts the efficiency of the hyperlink in addition to its robustness against fading. Numerous beam sample configurations are typically employed in satellite verbal exchange packages; every with it's set of advantages and disadvantages. By characterizing the variations among beam patterns, it is miles feasible to determine the most suitable design for a given utility. The most commonly used beam sample in satellite TV for PC communications is the pencil beam. This has a highly slim fundamental lobe width and presents exact gain traits inside the desired guidelines on the fee of extended aspect lobe power. This may cause better interference levels and fading outcomes, in particular in tremendously Asymmetric Circularly Polarized (HACP) structures. Then again, wider beam styles, which include fan or zone beams, provide decreased aspect lobe electricity on the fee of reduced gain. Broadening the sample will additionally increase the complexity of the link finances and antenna directivity calculations. Currently, extra complex antenna beam styles, including stepped-tapered, nested, and adaptive, have been hired so one can optimize the satellite TV for PC link overall performance.
卫星通信链路的整体性能主要取决于传输辐射的空间分布。这种分布是通过天线波束样本来管理的，波束样本是对天线在特定方向上发射的相对功率的测量。波束的形状会极大地影响超链接的效率和抗衰减能力。卫星语言交换软件包中通常会采用多种波束样态配置，每种配置都有各自的优缺点。通过分析波束模式之间的变化，可以确定最适合特定用途的设计。在用于 PC 通信的卫星电视中，最常用的波束样品是铅笔波束。这种波束具有非常纤细的基本波束宽度，并能在所需的准则范围内呈现精确的增益特性，但要以扩展边叶功率为代价。这可能会导致更好的干扰水平和衰减结果，尤其是在极大不对称圆极化（HACP）结构中。另外，更宽的波束样式，包括扇形波束或区域波束，会以降低增益为代价减少边叶功率。拓宽样本还会增加链路财务和天线指向性计算的复杂性。目前，人们已经采用了更复杂的天线波束样式，包括阶梯锥形、嵌套和自适应，从而可以优化 PC 链路的卫星电视整体性能。
{"title":"Impact of Antenna Beam Patterns on the Performance of Satellite Communication Links","authors":"G. D, Ramakant Upadhyay, Ashendra Kumar Saxena","doi":"10.1109/ICOCWC60930.2024.10470666","DOIUrl":"https://doi.org/10.1109/ICOCWC60930.2024.10470666","url":null,"abstract":"the overall performance of satellite communication links is extraordinarily established upon the spatial distribution of transmitted radiation. This distribution is managed by means of the antenna beam sample, which is a measure of the relative power emitted in one-of-a-kind directions from the antenna. The shape of the beam drastically impacts the efficiency of the hyperlink in addition to its robustness against fading. Numerous beam sample configurations are typically employed in satellite verbal exchange packages; every with it's set of advantages and disadvantages. By characterizing the variations among beam patterns, it is miles feasible to determine the most suitable design for a given utility. The most commonly used beam sample in satellite TV for PC communications is the pencil beam. This has a highly slim fundamental lobe width and presents exact gain traits inside the desired guidelines on the fee of extended aspect lobe power. This may cause better interference levels and fading outcomes, in particular in tremendously Asymmetric Circularly Polarized (HACP) structures. Then again, wider beam styles, which include fan or zone beams, provide decreased aspect lobe electricity on the fee of reduced gain. Broadening the sample will additionally increase the complexity of the link finances and antenna directivity calculations. Currently, extra complex antenna beam styles, including stepped-tapered, nested, and adaptive, have been hired so one can optimize the satellite TV for PC link overall performance.","PeriodicalId":518901,"journal":{"name":"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)","volume":"37 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530002","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 : 2024-01-29DOI: 10.1109/ICOCWC60930.2024.10470928
Bowei Xing, Yin He, Chi Xu, Yong Zhang
Facing the complex electromagnetic environment, the modulation mode of communication signal is becoming increasingly complex. The existing detection methods of modulation mode of communication signal can not detect the modulation mode of communication signal accurately and quickly. In order to facilitate the presentation, we represent the digital signal on the complex plane, form the constellation map according to the mapping formula, analyze the difference of the characteristics of the constellation map, and train and test the constellation map. It can be found that when the signal-to-noise ratio is lower than 20dB, the classification accuracy of the characteristics of the constellation map is greatly affected for the 64QAM signal with the largest number of points and the smallest radius. To solve this problem, A method of signal constellation de-noising using VMD is proposed. Compared with the pre-de-noising method, the average accuracy of VGGNet-16 classification is increased by 7.76%; The average accuracy rate of ResNet-18 classification increased by 9.77%; The average accuracy rate of ResNet-50 classification increased by 7.57%. This method improves the accuracy of constellation classification detection, which is difficult to improve, and lays a good foundation for the research of modulation signal detection methods.
{"title":"Research on Modulation Signal Detection Method based on Deep Learning","authors":"Bowei Xing, Yin He, Chi Xu, Yong Zhang","doi":"10.1109/ICOCWC60930.2024.10470928","DOIUrl":"https://doi.org/10.1109/ICOCWC60930.2024.10470928","url":null,"abstract":"Facing the complex electromagnetic environment, the modulation mode of communication signal is becoming increasingly complex. The existing detection methods of modulation mode of communication signal can not detect the modulation mode of communication signal accurately and quickly. In order to facilitate the presentation, we represent the digital signal on the complex plane, form the constellation map according to the mapping formula, analyze the difference of the characteristics of the constellation map, and train and test the constellation map. It can be found that when the signal-to-noise ratio is lower than 20dB, the classification accuracy of the characteristics of the constellation map is greatly affected for the 64QAM signal with the largest number of points and the smallest radius. To solve this problem, A method of signal constellation de-noising using VMD is proposed. Compared with the pre-de-noising method, the average accuracy of VGGNet-16 classification is increased by 7.76%; The average accuracy rate of ResNet-18 classification increased by 9.77%; The average accuracy rate of ResNet-50 classification increased by 7.57%. This method improves the accuracy of constellation classification detection, which is difficult to improve, and lays a good foundation for the research of modulation signal detection methods.","PeriodicalId":518901,"journal":{"name":"2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)","volume":"39 11","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529658","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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