The end of the 19th century brought about a change in the dynamics of computing by the development of the
microprocessor. Huge bedroom size computers began being replaced by portable, smaller sized desktops.
Today the world is dominated by silicon, which has circumscribed chip development for computers through
microprocessors. Majority of the integrated circuits that are manufactured at present are developed using
the concept of Lithography. This paper presents a detailed analysis of multiple Lithography methodologies
as a means for advanced integrated circuit development. The study paper primarily restricts to examples in
the context of Lithography, surveying the various existing techniques of Lithography in literature,
examining feasible and efficient methods, highlighting the various pros and cons of each of them.
The document summarizes recent research on microLED manufacturing processes. It discusses traditional mass transfer methods like self-assembly, pick and place, and selective release. It also covers newer monolithic integration techniques for directly growing LED materials on device substrates. Key challenges addressed include how to transfer, colorize, and restrain optical crosstalk between microLEDs. The document concludes that both traditional and monolithic methods will continue to be developed to achieve high-yield microLED production.
Opal and inverse opal structures for optical device applicationsM. Faisal Halim
This document summarizes research on developing an all-optical silicon transistor using an opal/inverse opal photonic crystal heterostructure. Photonic crystals can act as optical waveguides and switches by manipulating light transmission through periodic dielectric structures. Most work so far uses non-silicon materials at scales above 200nm, but inverse opals have potential at the nanoscale using silicon. The document outlines challenges in developing 1D, 2D and 3D photonic crystals and integrating them with silicon chips. It then describes how opals and inverse opals are made and their photonic bandgap properties. Current research is working to shrink features below 100nm for visible light applications in silicon. The goal is an all-opt
The document discusses electron beam lithography (EBL) for nano fabrication. EBL uses an electron beam to directly write nanoscale patterns on a resist-coated substrate. It allows for very high resolution down to 5 nm but has low throughput as it is a serial writing process. The key components of an EBL system include an electron gun, electron column for beam shaping and focusing, mechanical stage, wafer handling system, and control computer. EBL resists like PMMA can achieve high resolution but have limitations in sensitivity, etch resistance and thermal stability. EBL is widely used for research applications and mask making due to its high resolution, though it is too slow for high-volume manufacturing.
Development of a Location Invariant Crack Detection and Localisation Model (L...CSCJournals
The document presents a model called LICDAL (Location Invariant Crack Detection and Localization) that was developed to detect and localize cracks in unconstrained oil pipeline images using deep convolutional neural networks. LICDAL applies transfer learning on Faster R-CNN to make the model location invariant by training it on images of cracked pipelines from various locations. When tested on 10 new images from different locations, LICDAL detected and localized cracks with a mean average precision of 97.3%, demonstrating high performance and location invariance. The model performance is compared to an existing crack detection model, showing LICDAL improves crack identification through localization.
This document discusses a new methodology for shadow removal from images based on Strong Edge Detection (SED). The SED method recognizes strong shadow edges by analyzing image patch characteristics and features to classify shadow edges. Spatial smoothing is also used. Entropy and standard deviation results of the SED method and an earlier Patch Based Shadow Edge Detection method are calculated and compared, showing the SED method performs better with lower entropy and higher standard deviation. The SED method detects shadow edges more accurately than the previous patch-based approach.
IRJET- A Real Time Yolo Human Detection in Flood Affected Areas based on Vide...IRJET Journal
This document proposes a method for real-time human detection in flood-affected areas using video content analysis and the YOLO object detection algorithm. It trains YOLO on the COCO Human dataset to detect and localize humans in video frames from surveillance cameras. The results show that YOLO can accurately detect multiple humans, even with occlusion, and single humans under varying illumination. This approach aims to help rescue operations quickly identify affected areas and prioritize aid.
1. The document proposes a new method for shadow detection and removal in satellite images using image segmentation, shadow feature extraction, and inner-outer outline profile line (IOOPL) matching.
2. Key steps include segmenting the image, detecting suspected shadows, eliminating false shadows through analysis of color and spatial properties, extracting shadow boundaries, and obtaining homogeneous sections through IOOPL similarity matching to determine radiation parameters for shadow removal.
3. Experimental results showed the method could successfully detect shadows and remove them to improve image quality for applications like object classification and change detection.
IRJET- Identification of Missing Person in the Crowd using Pretrained Neu...IRJET Journal
The document describes a proposed system to identify missing persons in crowded areas using pretrained convolutional neural networks. The system would involve collecting images of missing persons from different angles to create a dataset for training. An AlexNet pretrained neural network would then be used to detect faces in live video captured by a drone camera of crowded areas. Detected faces would be cropped, stored in a database, and used to further train the network. During testing, the system could identify missing persons by displaying their images when detected in the crowd. The goal of the system is to help police efficiently locate missing people in crowded public settings like festivals or meetings.
The document summarizes recent research on microLED manufacturing processes. It discusses traditional mass transfer methods like self-assembly, pick and place, and selective release. It also covers newer monolithic integration techniques for directly growing LED materials on device substrates. Key challenges addressed include how to transfer, colorize, and restrain optical crosstalk between microLEDs. The document concludes that both traditional and monolithic methods will continue to be developed to achieve high-yield microLED production.
Opal and inverse opal structures for optical device applicationsM. Faisal Halim
This document summarizes research on developing an all-optical silicon transistor using an opal/inverse opal photonic crystal heterostructure. Photonic crystals can act as optical waveguides and switches by manipulating light transmission through periodic dielectric structures. Most work so far uses non-silicon materials at scales above 200nm, but inverse opals have potential at the nanoscale using silicon. The document outlines challenges in developing 1D, 2D and 3D photonic crystals and integrating them with silicon chips. It then describes how opals and inverse opals are made and their photonic bandgap properties. Current research is working to shrink features below 100nm for visible light applications in silicon. The goal is an all-opt
The document discusses electron beam lithography (EBL) for nano fabrication. EBL uses an electron beam to directly write nanoscale patterns on a resist-coated substrate. It allows for very high resolution down to 5 nm but has low throughput as it is a serial writing process. The key components of an EBL system include an electron gun, electron column for beam shaping and focusing, mechanical stage, wafer handling system, and control computer. EBL resists like PMMA can achieve high resolution but have limitations in sensitivity, etch resistance and thermal stability. EBL is widely used for research applications and mask making due to its high resolution, though it is too slow for high-volume manufacturing.
Development of a Location Invariant Crack Detection and Localisation Model (L...CSCJournals
The document presents a model called LICDAL (Location Invariant Crack Detection and Localization) that was developed to detect and localize cracks in unconstrained oil pipeline images using deep convolutional neural networks. LICDAL applies transfer learning on Faster R-CNN to make the model location invariant by training it on images of cracked pipelines from various locations. When tested on 10 new images from different locations, LICDAL detected and localized cracks with a mean average precision of 97.3%, demonstrating high performance and location invariance. The model performance is compared to an existing crack detection model, showing LICDAL improves crack identification through localization.
This document discusses a new methodology for shadow removal from images based on Strong Edge Detection (SED). The SED method recognizes strong shadow edges by analyzing image patch characteristics and features to classify shadow edges. Spatial smoothing is also used. Entropy and standard deviation results of the SED method and an earlier Patch Based Shadow Edge Detection method are calculated and compared, showing the SED method performs better with lower entropy and higher standard deviation. The SED method detects shadow edges more accurately than the previous patch-based approach.
IRJET- A Real Time Yolo Human Detection in Flood Affected Areas based on Vide...IRJET Journal
This document proposes a method for real-time human detection in flood-affected areas using video content analysis and the YOLO object detection algorithm. It trains YOLO on the COCO Human dataset to detect and localize humans in video frames from surveillance cameras. The results show that YOLO can accurately detect multiple humans, even with occlusion, and single humans under varying illumination. This approach aims to help rescue operations quickly identify affected areas and prioritize aid.
1. The document proposes a new method for shadow detection and removal in satellite images using image segmentation, shadow feature extraction, and inner-outer outline profile line (IOOPL) matching.
2. Key steps include segmenting the image, detecting suspected shadows, eliminating false shadows through analysis of color and spatial properties, extracting shadow boundaries, and obtaining homogeneous sections through IOOPL similarity matching to determine radiation parameters for shadow removal.
3. Experimental results showed the method could successfully detect shadows and remove them to improve image quality for applications like object classification and change detection.
IRJET- Identification of Missing Person in the Crowd using Pretrained Neu...IRJET Journal
The document describes a proposed system to identify missing persons in crowded areas using pretrained convolutional neural networks. The system would involve collecting images of missing persons from different angles to create a dataset for training. An AlexNet pretrained neural network would then be used to detect faces in live video captured by a drone camera of crowded areas. Detected faces would be cropped, stored in a database, and used to further train the network. During testing, the system could identify missing persons by displaying their images when detected in the crowd. The goal of the system is to help police efficiently locate missing people in crowded public settings like festivals or meetings.
The document summarizes a research project on single image haze removal using a variable fog-weight. It begins with an introduction on how haze degrades image quality and the need for haze removal techniques. It then discusses the motivation, literature review, objective, and main contribution of the proposed method. The method uses the dark channel prior to estimate the transmission map and atmospheric light. It then applies a variable fog-weight to modify the transmission map and reduce halo artifacts. A guided filter is used for transmission refinement before recovering the haze-free scene radiance. The method aims to improve on existing techniques by reducing time complexity and halo artifacts while enhancing image visibility.
This document discusses a method for removing shadows from video object planes (VOPs) and watermarking the resulting shadow-free VOP sequences. It begins with an introduction to computer vision and issues related to shadow detection. Next, it reviews previous work on shadow removal and digital watermarking. The proposed method first converts input VOPs to HSV color space and uses normalized saturation-value difference indexing to segment and remove shadows. It then embeds a watermark into the shadow-free VOP using hybrid DCT and DWT transforms before extracting the watermark using inverse transforms. The method aims to improve security over single-transform watermarking while avoiding issues like added noise in previous approaches.
The document discusses the challenges of integrating electronics for complex systems as semiconductor technology advances according to Moore's law. It describes how Electronic Development addresses this challenge through an organizational structure of functional clusters, building blocks, and platforms to manage complexity and enable parallel development. The goal is fast and predictable integration through well-defined interfaces and early integration testing to reduce problems during system realization.
Shadow Detection and Removal in Still Images by using Hue Properties of Color...ijsrd.com
This paper involves the review of the Shadow Detection and Removal in still images. No prior information has been used such as background images etc. for finding the shadows. It is a very challenging issue for the computer vision system that shadows effect the perception of artificial intelligence based machines in appropriately detecting the particular object as shadows also picked by them and detected as false positive objects. Also in surveillance, it affects the proper tracking of humans such as at airports. We proposed a method to remove shadows which eliminates the shadow much better than existed methods. RGB space has been used of the images and some morphological operations also applied to get better results.
Shadow Detection and Removal Techniques A Perspective Viewijtsrd
This document discusses techniques for shadow detection and removal in images. It provides an overview of various methods used, including those based on texture analysis, color information, Gaussian mixture models, and deterministic non-model based approaches. The document then reviews several published papers on different shadow detection and removal algorithms. These algorithms are compared based on advantages and disadvantages in terms of accuracy, computational efficiency, and applicability to different image types and conditions. The conclusion is that shadows remain a challenging problem for computer vision tasks and that the most suitable detection and removal technique depends on the specific image type and application.
IRJET - Contrast and Color Improvement based Haze Removal of Underwater Image...IRJET Journal
This document proposes a method for removing haze from underwater images using fusion techniques. It involves three main steps:
1. Removal of haze from the input underwater image using a water shield filter to extract a dehazed image.
2. Denoising the dehazed image using a sequential algorithm to compensate for uneven lighting and enhance image features.
3. Fusing the dehazed and denoised images to produce a clear output image with both haze and noise removed.
The method aims to improve underwater image visibility and contrast correction in a simple and effective manner. Evaluation on sample images demonstrates reduced haze and artifacts after processing.
This document presents a blur classification approach using a Convolution Neural Network (CNN). It discusses types of image degradation including blur, different blur models, and prior work on blur classification using features and neural networks. The proposed method uses a CNN to classify images into four blur categories (motion, defocus, box, and Gaussian blur) based on the images' frequency spectra. The method is evaluated on a dataset with over 2800 synthetically blurred images from 24 people performing 10 gestures. The CNN achieves an average accuracy of 97% for blur classification, outperforming alternatives using multilayer perceptrons or handcrafted features.
Survey on Image Integration of Misaligned ImagesIRJET Journal
The document discusses methods for integrating misaligned images to improve image quality under low lighting conditions. It reviews previous works that combine images like flash/no-flash pairs to transfer details and color, but have limitations when images are misaligned. The paper proposes a new method using a long-exposure image and flash image that introduces a local linear model to transfer color while maintaining natural colors and high contrast, without deteriorating contrast for misaligned pairs. It concludes that handling misaligned images remains a challenge with existing methods and further work is needed.
IRJET- Smart Ship Detection using Transfer Learning with ResNetIRJET Journal
This document discusses using a convolutional neural network called ResNet with transfer learning to automatically detect ships in satellite images. ResNet is a deep residual network that can increase performance efficiency and reduce overfitting. The objective is to detect ships with high accuracy. Transfer learning is used to take a pre-trained ResNet-50 model and reuse it to classify satellite images into ship and non-ship categories, improving accuracy over traditional methods. Convolutional neural networks like ResNet are well-suited for this task as they can learn patterns directly from images without manual feature extraction.
IRJET- Human Fall Detection using Co-Saliency-Enhanced Deep Recurrent Convolu...IRJET Journal
This document summarizes a research paper that proposes a new method for detecting human falls in videos using deep learning. The method uses a recurrent convolutional neural network (RCN) that applies convolutional neural networks (CNNs) to video segments and connects them with long short-term memory (LSTM) to model temporal relationships. It also enhances video frames using co-saliency detection to highlight important human activity regions before feeding them to the RCN. The researchers tested the method on a dataset of 768 video clips from 4 activity classes and achieved 98.12% accuracy at detecting falls, demonstrating the effectiveness of the co-saliency-enhanced RCN approach.
Performance analysis on color image mosaicing techniques on FPGAIJECEIAES
Today, the surveillance systems and other monitoring systems are considering the capturing of image sequences in a single frame. The captured images can be combined to get the mosaiced image or combined image sequence. But the captured image may have quality issues like brightness issue, alignment issue (correlation issue), resolution issue, manual image registration issue etc. The existing technique like cross correlation can offer better image mosaicing but faces brightness issue in mosaicing. Thus, this paper introduces two different methods for mosaicing i.e., (a) Sliding Window Module (SWM) based Color Image Mosaicing (CIM) and (b) Discrete Cosine Transform (DCT) based CIM on Field Programmable Gate Array (FPGA). The SWM based CIM adopted for corner detection of two images and perform the automatic image registration while DCT based CIM aligns both the local as well as global alignment of images by using phase correlation approach. Finally, these two methods performances are analyzed by comparing with parameters like PSNR, MSE, device utilization and execution time. From the analysis it is concluded that the DCT based CIM can offers significant results than SWM based CIM.
The document discusses particle image velocimetry (PIV), which is a non-intrusive method for measuring fluid flow velocities. PIV works by seeding the fluid with particles and using a laser sheet and camera to capture particle images. Software then tracks the particle movements between images to calculate velocity vectors across the flow field. PIV has applications in analyzing flows around objects like fish, helicopters, and prosthetic heart valves. Advanced PIV systems are being developed that can perform 3D motion tracking.
Three dimensional particle image velocimetrypawankumar9275
Three-dimensional particle image velocimetry for the flows near the wall. A brief introduction to measurement methods in fluid fields in general and imaging methods in particular. A general overview of famous three-dimensional particle imaging methods and detailed description of image velocimetry for the near wall flows
This document discusses silicon sensor technologies for particle tracking at the upgraded Large Hadron Collider (HL-LHC) at CERN. It investigates several schemes for silicon tracking detectors, including two-tier tracker modules using bump-bonded sensors and readout chips, and advanced 3D integrated circuits with edgeless sensors. Prototypes of the two-tier modules are being fabricated and tested. 3D integrated circuits provide an alternative by forming a monolithic sensor-readout unit using oxide bonding and through-silicon vias. Edgeless sensors are also being explored to eliminate dead zones around sensor units and maintain precision tracking at high luminosities. A decision on the technology will be made in the next two years.
Abstract:
This paper demonstrates overcoming of the Abbe diffraction limit (ADL) on image resolution. Here, terahertz multispectral reconstructive imaging has been described and used for analyzing nanometer size metal lines fabricated on a silicon wafer. It has also been demonstrated that while overcoming the ADL is a required condition, it is not sufficient to achieve sub-nanometer image resolution with longer wavelengths. A nanoscanning technology has been developed that exploits the modified Beer-Lambert’s law for creating a measured reflectance data matrix and utilizes the ‘inverse distance to power equation’ algorithm for achieving 3D, sub-nanometer image resolution. The nano-lines images reported herein, were compared to SEM images. The terahertz images of 70 nm lines agreed well with the TEM images. The 14 nm lines by SEM were determined to be 15 nm. Thus, the wavelength dependent Abbe diffraction limit on image resolution has been overcome. Layer-by-layer analysis has been demonstrated where 3D images are analyzed on any of the three orthogonal planes. Images of grains on the metal lines have also been analyzed. Unlike electron microscopes, where the samples must be in the vacuum chamber and must be thin enough for electron beam transparency, terahertz imaging is non-destructive, non-contact technique without laborious sample preparation.
This document outlines a student project to develop a system to detect non-metallic weapons on passengers at airports using infrared light and image processing. The student aims to enhance airport security by detecting hidden plastic guns. The project proposes using a CCD sensor and infrared light to create digital images that can then be analyzed using particle analysis tools to identify threats. Initial testing showed some success in detecting plastic objects but identified challenges around orientation, lighting, and distance that need further refinement.
Peter addresses the elders of the churches, exhorting them to faithfully shepherd God's flock. He identifies himself as a fellow elder and witness to Christ's sufferings, having been present during Jesus' agony, arrest, and likely crucifixion. As one who endured suffering for Christ and has assurance of eternal glory, Peter is well qualified to exhort the elders to steadfastly fulfill their duties despite potential hardships, by the example of Christ's sacrifice. Scholars note Peter leads by example in humility, appealing to the elders as an equal rather than asserting apostolic authority.
This document provides commentary on James 4 from multiple scholars. It discusses the origins of "wars and fightings" mentioned in the passage. The commentators believe these refer to conflicts among the Jews of that time, both against Romans and among themselves, stemming from desires and lusts rather than religious principles. Their internal lusts and passions warred within them and sparked external conflicts. The commentators assert that if people subdued their lustful desires, it would bring greater peace between individuals and nations.
Friction is the force resisting the relative motion of solid surfaces, fluid layers, and material elements sliding against each other. There are several types of friction: Dry friction resists relative lateral motion of two solid surfaces in contact.
This document provides commentary on Matthew 5:38-48 from multiple scholars and commentators. It discusses the key points:
1) The Old Testament law of "an eye for an eye" was meant to regulate judges and proportionate punishment, not private revenge. However, some Jews interpreted it to allow private retaliation.
2) Jesus teaches his followers to not retaliate at all when harmed, but to turn the other cheek. Resisting evil does not mean passively allowing murder.
3) The commentators discuss how the law was meant to regulate magistrates, not private revenge, and how Jesus' teachings went beyond legal requirements to promoting forgiveness and non-violence.
The challenge of living a God Centred life in todays busy world. We need strategies to resist the temptations of the desire of the eyes and the pride of life.
A research conducted by Tashieka King on the role women played in resisting enslavement. The research shows that women has contributed significantly to make their life of enslavement better.
The document summarizes a research project on single image haze removal using a variable fog-weight. It begins with an introduction on how haze degrades image quality and the need for haze removal techniques. It then discusses the motivation, literature review, objective, and main contribution of the proposed method. The method uses the dark channel prior to estimate the transmission map and atmospheric light. It then applies a variable fog-weight to modify the transmission map and reduce halo artifacts. A guided filter is used for transmission refinement before recovering the haze-free scene radiance. The method aims to improve on existing techniques by reducing time complexity and halo artifacts while enhancing image visibility.
This document discusses a method for removing shadows from video object planes (VOPs) and watermarking the resulting shadow-free VOP sequences. It begins with an introduction to computer vision and issues related to shadow detection. Next, it reviews previous work on shadow removal and digital watermarking. The proposed method first converts input VOPs to HSV color space and uses normalized saturation-value difference indexing to segment and remove shadows. It then embeds a watermark into the shadow-free VOP using hybrid DCT and DWT transforms before extracting the watermark using inverse transforms. The method aims to improve security over single-transform watermarking while avoiding issues like added noise in previous approaches.
The document discusses the challenges of integrating electronics for complex systems as semiconductor technology advances according to Moore's law. It describes how Electronic Development addresses this challenge through an organizational structure of functional clusters, building blocks, and platforms to manage complexity and enable parallel development. The goal is fast and predictable integration through well-defined interfaces and early integration testing to reduce problems during system realization.
Shadow Detection and Removal in Still Images by using Hue Properties of Color...ijsrd.com
This paper involves the review of the Shadow Detection and Removal in still images. No prior information has been used such as background images etc. for finding the shadows. It is a very challenging issue for the computer vision system that shadows effect the perception of artificial intelligence based machines in appropriately detecting the particular object as shadows also picked by them and detected as false positive objects. Also in surveillance, it affects the proper tracking of humans such as at airports. We proposed a method to remove shadows which eliminates the shadow much better than existed methods. RGB space has been used of the images and some morphological operations also applied to get better results.
Shadow Detection and Removal Techniques A Perspective Viewijtsrd
This document discusses techniques for shadow detection and removal in images. It provides an overview of various methods used, including those based on texture analysis, color information, Gaussian mixture models, and deterministic non-model based approaches. The document then reviews several published papers on different shadow detection and removal algorithms. These algorithms are compared based on advantages and disadvantages in terms of accuracy, computational efficiency, and applicability to different image types and conditions. The conclusion is that shadows remain a challenging problem for computer vision tasks and that the most suitable detection and removal technique depends on the specific image type and application.
IRJET - Contrast and Color Improvement based Haze Removal of Underwater Image...IRJET Journal
This document proposes a method for removing haze from underwater images using fusion techniques. It involves three main steps:
1. Removal of haze from the input underwater image using a water shield filter to extract a dehazed image.
2. Denoising the dehazed image using a sequential algorithm to compensate for uneven lighting and enhance image features.
3. Fusing the dehazed and denoised images to produce a clear output image with both haze and noise removed.
The method aims to improve underwater image visibility and contrast correction in a simple and effective manner. Evaluation on sample images demonstrates reduced haze and artifacts after processing.
This document presents a blur classification approach using a Convolution Neural Network (CNN). It discusses types of image degradation including blur, different blur models, and prior work on blur classification using features and neural networks. The proposed method uses a CNN to classify images into four blur categories (motion, defocus, box, and Gaussian blur) based on the images' frequency spectra. The method is evaluated on a dataset with over 2800 synthetically blurred images from 24 people performing 10 gestures. The CNN achieves an average accuracy of 97% for blur classification, outperforming alternatives using multilayer perceptrons or handcrafted features.
Survey on Image Integration of Misaligned ImagesIRJET Journal
The document discusses methods for integrating misaligned images to improve image quality under low lighting conditions. It reviews previous works that combine images like flash/no-flash pairs to transfer details and color, but have limitations when images are misaligned. The paper proposes a new method using a long-exposure image and flash image that introduces a local linear model to transfer color while maintaining natural colors and high contrast, without deteriorating contrast for misaligned pairs. It concludes that handling misaligned images remains a challenge with existing methods and further work is needed.
IRJET- Smart Ship Detection using Transfer Learning with ResNetIRJET Journal
This document discusses using a convolutional neural network called ResNet with transfer learning to automatically detect ships in satellite images. ResNet is a deep residual network that can increase performance efficiency and reduce overfitting. The objective is to detect ships with high accuracy. Transfer learning is used to take a pre-trained ResNet-50 model and reuse it to classify satellite images into ship and non-ship categories, improving accuracy over traditional methods. Convolutional neural networks like ResNet are well-suited for this task as they can learn patterns directly from images without manual feature extraction.
IRJET- Human Fall Detection using Co-Saliency-Enhanced Deep Recurrent Convolu...IRJET Journal
This document summarizes a research paper that proposes a new method for detecting human falls in videos using deep learning. The method uses a recurrent convolutional neural network (RCN) that applies convolutional neural networks (CNNs) to video segments and connects them with long short-term memory (LSTM) to model temporal relationships. It also enhances video frames using co-saliency detection to highlight important human activity regions before feeding them to the RCN. The researchers tested the method on a dataset of 768 video clips from 4 activity classes and achieved 98.12% accuracy at detecting falls, demonstrating the effectiveness of the co-saliency-enhanced RCN approach.
Performance analysis on color image mosaicing techniques on FPGAIJECEIAES
Today, the surveillance systems and other monitoring systems are considering the capturing of image sequences in a single frame. The captured images can be combined to get the mosaiced image or combined image sequence. But the captured image may have quality issues like brightness issue, alignment issue (correlation issue), resolution issue, manual image registration issue etc. The existing technique like cross correlation can offer better image mosaicing but faces brightness issue in mosaicing. Thus, this paper introduces two different methods for mosaicing i.e., (a) Sliding Window Module (SWM) based Color Image Mosaicing (CIM) and (b) Discrete Cosine Transform (DCT) based CIM on Field Programmable Gate Array (FPGA). The SWM based CIM adopted for corner detection of two images and perform the automatic image registration while DCT based CIM aligns both the local as well as global alignment of images by using phase correlation approach. Finally, these two methods performances are analyzed by comparing with parameters like PSNR, MSE, device utilization and execution time. From the analysis it is concluded that the DCT based CIM can offers significant results than SWM based CIM.
The document discusses particle image velocimetry (PIV), which is a non-intrusive method for measuring fluid flow velocities. PIV works by seeding the fluid with particles and using a laser sheet and camera to capture particle images. Software then tracks the particle movements between images to calculate velocity vectors across the flow field. PIV has applications in analyzing flows around objects like fish, helicopters, and prosthetic heart valves. Advanced PIV systems are being developed that can perform 3D motion tracking.
Three dimensional particle image velocimetrypawankumar9275
Three-dimensional particle image velocimetry for the flows near the wall. A brief introduction to measurement methods in fluid fields in general and imaging methods in particular. A general overview of famous three-dimensional particle imaging methods and detailed description of image velocimetry for the near wall flows
This document discusses silicon sensor technologies for particle tracking at the upgraded Large Hadron Collider (HL-LHC) at CERN. It investigates several schemes for silicon tracking detectors, including two-tier tracker modules using bump-bonded sensors and readout chips, and advanced 3D integrated circuits with edgeless sensors. Prototypes of the two-tier modules are being fabricated and tested. 3D integrated circuits provide an alternative by forming a monolithic sensor-readout unit using oxide bonding and through-silicon vias. Edgeless sensors are also being explored to eliminate dead zones around sensor units and maintain precision tracking at high luminosities. A decision on the technology will be made in the next two years.
Abstract:
This paper demonstrates overcoming of the Abbe diffraction limit (ADL) on image resolution. Here, terahertz multispectral reconstructive imaging has been described and used for analyzing nanometer size metal lines fabricated on a silicon wafer. It has also been demonstrated that while overcoming the ADL is a required condition, it is not sufficient to achieve sub-nanometer image resolution with longer wavelengths. A nanoscanning technology has been developed that exploits the modified Beer-Lambert’s law for creating a measured reflectance data matrix and utilizes the ‘inverse distance to power equation’ algorithm for achieving 3D, sub-nanometer image resolution. The nano-lines images reported herein, were compared to SEM images. The terahertz images of 70 nm lines agreed well with the TEM images. The 14 nm lines by SEM were determined to be 15 nm. Thus, the wavelength dependent Abbe diffraction limit on image resolution has been overcome. Layer-by-layer analysis has been demonstrated where 3D images are analyzed on any of the three orthogonal planes. Images of grains on the metal lines have also been analyzed. Unlike electron microscopes, where the samples must be in the vacuum chamber and must be thin enough for electron beam transparency, terahertz imaging is non-destructive, non-contact technique without laborious sample preparation.
This document outlines a student project to develop a system to detect non-metallic weapons on passengers at airports using infrared light and image processing. The student aims to enhance airport security by detecting hidden plastic guns. The project proposes using a CCD sensor and infrared light to create digital images that can then be analyzed using particle analysis tools to identify threats. Initial testing showed some success in detecting plastic objects but identified challenges around orientation, lighting, and distance that need further refinement.
Peter addresses the elders of the churches, exhorting them to faithfully shepherd God's flock. He identifies himself as a fellow elder and witness to Christ's sufferings, having been present during Jesus' agony, arrest, and likely crucifixion. As one who endured suffering for Christ and has assurance of eternal glory, Peter is well qualified to exhort the elders to steadfastly fulfill their duties despite potential hardships, by the example of Christ's sacrifice. Scholars note Peter leads by example in humility, appealing to the elders as an equal rather than asserting apostolic authority.
This document provides commentary on James 4 from multiple scholars. It discusses the origins of "wars and fightings" mentioned in the passage. The commentators believe these refer to conflicts among the Jews of that time, both against Romans and among themselves, stemming from desires and lusts rather than religious principles. Their internal lusts and passions warred within them and sparked external conflicts. The commentators assert that if people subdued their lustful desires, it would bring greater peace between individuals and nations.
Friction is the force resisting the relative motion of solid surfaces, fluid layers, and material elements sliding against each other. There are several types of friction: Dry friction resists relative lateral motion of two solid surfaces in contact.
This document provides commentary on Matthew 5:38-48 from multiple scholars and commentators. It discusses the key points:
1) The Old Testament law of "an eye for an eye" was meant to regulate judges and proportionate punishment, not private revenge. However, some Jews interpreted it to allow private retaliation.
2) Jesus teaches his followers to not retaliate at all when harmed, but to turn the other cheek. Resisting evil does not mean passively allowing murder.
3) The commentators discuss how the law was meant to regulate magistrates, not private revenge, and how Jesus' teachings went beyond legal requirements to promoting forgiveness and non-violence.
The challenge of living a God Centred life in todays busy world. We need strategies to resist the temptations of the desire of the eyes and the pride of life.
A research conducted by Tashieka King on the role women played in resisting enslavement. The research shows that women has contributed significantly to make their life of enslavement better.
This document provides an overview of optical computing. Some key points:
- Optical computing uses light instead of electrons for computations and can process data much
faster than traditional electronic computers. An optical desktop computer is capable of processing
data 100,000 times faster.
- Important optical components that enable optical computing include vertical cavity surface emitting
lasers, spatial light modulators, smart pixel technology, and wavelength division multiplexing.
- Nonlinear optical materials play a significant role by interacting with light and modulating its
properties, enabling functions like optical logic gates. However, current materials have low efficiency.
- Optical computing was researched in the 1980s but progress slowed due
This document discusses advances in laser holographic lithography techniques for fabricating 3D nanostructures. It describes how holographic lithography can be achieved using a single optical element such as a diffractive phase mask or deflective prism. Specifically, it provides examples of using a 2D phase mask and a 4-sided prism to generate interference patterns that can produce diamond-like 3D photonic crystal structures in a single laser exposure, overcoming limitations of previous multi-element approaches. Controlling the phase of laser beams is shown to be crucial for enabling the fabrication of complex 3D structures using these single-element holographic lithography methods.
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Analysis of lithography based approaches in development of semiconductors
1. International Journal of Computer Science & Information Technology (IJCSIT) Vol 6, No 6, December 2014
DOI:10.5121/ijcsit.2014.6604 61
ANALYSIS OF LITHOGRAPHY BASED APPROACHES IN
DEVELOPMENT OF SEMICONDUCTORS
Jatin Chopra1
1
Department of Computer Science, BITS Pilani Dubai, United Arab Emirates
ABSTRACT
The end of the 19th
century brought about a change in the dynamics of computing by the development of the
microprocessor. Huge bedroom size computers began being replaced by portable, smaller sized desktops.
Today the world is dominated by silicon, which has circumscribed chip development for computers through
microprocessors. Majority of the integrated circuits that are manufactured at present are developed using
the concept of Lithography. This paper presents a detailed analysis of multiple Lithography methodologies
as a means for advanced integrated circuit development. The study paper primarily restricts to examples in
the context of Lithography, surveying the various existing techniques of Lithography in literature,
examining feasible and efficient methods, highlighting the various pros and cons of each of them.
KEYWORDS
Etching, Lithography, Mirrors, Resist, Poly Silicon, Transistor & Wafer.
1. INTRODUCTION
In 1950’s chip manufacturers discovered that as the complexity of the circuits grew they faced
new challenges [2]. One was while building a circuit, all the connections should be intact
otherwise the current would be stopped within the circuit. Another problem was the speed
complexity of the circuits. The circuits used in computers primarily depend upon speed. If the
components used in computers are too large or the wires joining them are too long, then in that
case the speed will become slow and get affected. In 1958 Jack Kilby established an answer to
this problem. He made all the parts from the same block of material and added a layer of metal on
top of it to connect them together. As a result no more of wires and components had to be
assembled manually. The circuits could easily be made smaller and the manufacturing process
could be computerized. Integrated circuits have come long way since the Jack Kilby’s first model.
His idea changed the future of microprocessor industry and is the key element behind our
computer society.
Integrated circuit is considered as the advanced form of electrical circuit. Different electrical
components including transistors, capacitors, diodes and capacitors make an electrical circuit.
These components act as building blocks in an electrical manufacture gear. It can help us
construct computer microprocessor or burglar alarm. The advent of integrated circuits (ICs)
technology facilitated the placement of large number of transistors on a single chip, thereby
playing an important role in solving problems of logic circuits by improving power consumption
and speed performance.
Today most advanced circuits can be developed with billions of transistors embedded in them [5].
Every year as the technology is advancing; the chips are becoming more powerful and cheaper.
2. International Journal of Computer Science & Information Technology (IJCSIT) Vol 6, No 6, December 2014
62
To build smaller and smaller chips, manufacturers have improved the accuracy of laser and lenses
by reducing the wavelength of the light striking the wafer.
The method behind the construction of current ICs involves shining light through a mask onto a
photoresist-coated loafer and subsequently removing the exposed areas. This process for
manufacturing components of an IC is termed as Lithography. In order to achieve the circuitry
pattern on to the loafer, several techniques of lithography can be applied. This paper will outline
the most popular methods of Lithography that are employed in the semi-conductor industry which
at a very high level can be categorized as [1] Electron-Beam Lithography, X-Ray Lithography
and Optical Lithography.
Structure of Paper
The remainder of the paper is organized as follows: In Section 2, the objective of this paper is
presented. In Section 3, the various acronyms used in this paper have been given. The
fundamentals of Lithography comprising of the procedure and merits are presented in Section 4.
Section 5 deals with detailed analysis of the various approaches for chip manufacture using
Lithography. The paper is concluded in Section 6.
2. OBJECTIVE
The present work is intended to meet the following objectives:
1. Summarize the process of chip manufacture using Lithography, along with merits and
demerits.
2. Survey the existing Lithography tools that are employed for the development of ICs.
3. Present a detailed analysis on Extreme Ultraviolet Lithography (eUV) as a promising
technology for chip making.
3. ACRONYMS
1. AMD : Advanced Micro Devices.
2. ARF : Argon Fluoride.
3. DUV : Deep Ultraviolet Lithography.
4. EUV : Extreme Ultraviolet Lithography.
5. HF : Hydrogen Fluoride.
6. HSQ : Hydrogen Silises Quioscane.
7. IBM : International Business Machines.
8. IC : Integrated Circuit.
9. KRF : Krypton Fluoride.
10. PMMA : Poly Methyl Methacrylate.
11. PBS : Poly Butane -1 - Sulphone.
4. OVERVIEW OF LITHOGRAPHY
The term Lithography [3] originates from Greek words lithos meaning “stones” and graphia
meaning “writing”. In today’s semiconductor industry it is used to design 3-D images on a
substrate. It is a process of imprinting a geometric pattern from a mask onto a thin layer of
materials called resist. The technology plays an important role in the production of electronic
device components such as integrated circuits. Figure 1 shows the classification of lithography.
3. International Journal of Computer Science & Information Technology (IJCSIT) Vol 6, No 6, December 2014
63
Figure 1.Classification of Lithography
In the following subsections, steps are discussed to create integrated circuits using lithography
along with the terminology.
4.1. Terminology
1. Wafer / Substrate: The substance on which pattern of integrated circuits are developed by
different steps of lithography
2. Photoresist: Is a photosensitive film placed on the top of the wafer
There are two types of photoresist:-
Positive Photo resist: Becomes more soluble in developer solution when exposed
to radiation.
Negative Photo resist: Becomes less soluble in developer solution when exposed
to radiation.
3. Pattern: It is the image of the integrated circuit that has to be printed on the wafer
4.2. Procedure
The following are the steps involved in creation of integrated circuits using lithography (Figure2):
Step 1: Coat the wafer with poly silicon liquid and place the photo resist layer on top of it.
Step 2: Expose the photoresist-coated wafer to proper radiation. Project a light on the mask
containing the pattern. Expose the light on the wafer with or without a mask. Some patterns on
the mask are opaque and some are transparent to the radiation falling on them, so when the light
falls on the mask only those regions which are transparent will allow the light to pass through it
and fall on the wafer. Different resist have different properties. Properties of only those resist will
change which are exposed to proper radiation and later become soft or hard.
Step 3: Developing stage involves two areas:
Area 1: Photo resist becomes soft to radiation.
Place the resist in a developer solution for easy detachment. Only that resist will remain
which is not yet exposed to radiation
4. International Journal of Computer Science & Information Technology (IJCSIT) Vol 6, No 6, December 2014
64
Dilute in Hydrogen Fluoride (HF) solution. The resist, which is guarding the oxide layer
and the region that are now exposed to radiation, will get removed. This technique is
termed as etching.
Compare patterns on the wafer with the mask. The patterns that are opaque are same as
present on the wafer.
Area 2: The pattern on the photoresist becomes hard. In that case the pattern on the wafer will
be negative and will be compliment to the pattern on the mask, which is denoted as negative
resist.
Figure 2. Procedure for Lithography
4.3. Precautions
The following are the precautions that need to be undertaken while creating integrated circuits
using Lithography:
1. Dimensions of the pattern should be correct on the photo mask.
2. Transfer the pattern from the photo mask on the wafer carefully.
3. Photoresist should stick properly on the substrate because when photoresist is peeled off
the pattern may get damage and become of no use.
4. The pattern fixed on the wafer should be aligned accurately as Lithography process can
be carried out multiple times in a day.
5. International Journal of Computer Science & Information Technology (IJCSIT) Vol 6, No 6, December 2014
65
5. LITHOGRAPHY METHODOLOGIES
5.1. Electron Beam Lithography
Electron Beam Lithography was discovered around 1960s in order to scan small objects with
electrons and easily modify the patterns. The process of E-Beam Lithography involves bending of
electrons using force as compared to conventional lithographic approach of bending light using
mirrors [8]. This method is mask less where the substrate is directly written upon like a pen.
There are two types of forces involved
Electromagnetic
Electrostatic
Both of these forces are used to manufacture lenses that include electromagnetic and electrostatic
lenses, which are used to focus light. In the following subsections the procedure used to create
pattern on the substrate using E-Beam Lithography is discussed.
5.1.1 Procedure
The following are the steps involved in creation of integrated circuits using E-Beam Lithography
Step 1: E-Beam with a diameter of 0.01µ to 0.5µ is focused and scanned over the entire
semiconductor substrate with a computer depending on the pattern that has to be created on the
substrate. Since we use computer here, so it requires blanking (it controls the electron beam with
the help of a computer and turns off and on accordingly) and deflection.
Step 2: The E-Beam is operated in two modes - one where the E-Beam Resist is eradiated
changing its properties and other when off, the resist is not eradiated. The movement of the E-
Beam is over a small region, which is referred as scanned field.
Step 3: Usually the size of the field is 1cm by 1cm whereas the size of the substrate is bigger in
comparison. Once the E-Beam scans the substrate once, then the substrate gets moved, as a result
the substrate is mounted over a movable X-Y table.
Step 4: Hence during the second time when the E-Beam is scanned over the unexposed regions of
the substrate, patterns are created easily on it.
5.1.2 Writing Strategies
Following are the writing strategies for the creation of integrated circuits using E-Beam
Lithography
1. Raster Scan: Scans the whole substrate pixel element by pixel element. It is a slow
process and blanking is used when to write the pattern or not on the substrate
accordingly. Spot size (smallest size that can be made on electrons and electron’s
numerical aperture. It defines the size ranging between 0.1 to 5 created over
numerical aperture) plays an important role in writing since it gives direct tradeoff
between throughput and resolution. The small spot size will provide better resolution
whereas large spot size will provide higher throughput.
2. Vector Scan: Used only on the selected areas on the substrate where writing is to be
performed and provides thinly dispersed and not dense patterns on the substrate.
6. International Journal of Computer Science & Information Technology (IJCSIT) Vol 6, No 6, December 2014
66
3. Variable shaped beam: Projects a rectangle on the entire wafer at one time. These
rectangles usually are of order 1 micron or half micron, so can easily adjust the width
and height to get variety of shapes. This technique is used widely for the production
of masks since it gives better throughput and resolution as compared to other
techniques.
5.1.3. Advantages
E-Beam Lithography is designed in such a manner that it delivers optimum performance
in the field of research and development sector since it is automated and we can easily
change the pattern when we want and is used in manufacturing masks.
We obtain less throughput and high resolution.
5.1.4. Limitations
Dissolving Issues: E-beam resists are organic materials which upon eradication of
negative resist create cross linkage monomers and change the molecular weight at the
same time. Making it heavy and difficult to dissolve in the developer solution.
Slow Process: Since the diameter of the electron beam is very small only a small scanned
area will be focused over and hence will take a longer time to write on the entire substrate
[9].
Proximity Effect: Different portions on the substrate have to be exposed for different
amount of time. Figure shows two points A and B where A will receive the maximum
electron beam when exposed and since point B is far from point A and will receive a very
low amount of electron beam. This is termed as Proximity Effect. Since electron beam
are used to write onto a small area of the substrate, multiple beams are being considered.
Multiple beams are used altogether in parallel to write on the substrate and develop
patterns easily. This helps to develop masks quickly but practically hasn’t been
demonstrated yet.
5.2. X-Ray Lithography
Wilhelm Conrad Roentgen discovered an unknown ray in 1895 (X-Ray) that can cause barium
platinocyanide coated screen to glow. He won the first Nobel Prize in physics in 1901. In X-Ray
Lithography X-Ray light is applied to generate the pattern on the substrate. Resolution is a
function of wavelength and shorter the wavelength higher will be the resolution. Proximity
printing is applied, where some gap is maintained between the substrate and the X-Ray mask. The
technique is developed to the extent of batch processing. The method is simple to use since it
requires no lenses. This technique originated as an advanced tool for next generation lithography
for the semiconductor industry with batches of microprocessors successfully produced. Figure 3
below depicts how x-ray lithography is carried out.
7. International Journal of Computer Science & Information Technology (IJCSIT) Vol 6, No 6, December 2014
67
Figure 3. Procedure for X-Ray Lithography
5.2.1. Procedure
These are the steps that are to be followed during X-Ray Lithography:
Step 1: The source emits X-Ray light onto the X-Ray mask containing the pattern to be printed.
Step 2: X- Ray masks contain two important structures:
Absorber: Contains the information to be imaged onto the resist. Since gold has a
low atomic no and is a good absorbing material, it is applied on the top of the x-
ray mask. High atomic number material absorbs X-Rays whereas low atomic
number material transmits X-Rays.
Membrane: X-Ray masks consist of a very thin membrane of low atomic number
material carrying a high atomic number thick absorber pattern.
Step 3: X-Ray resist are of two types as shown in Figure 3:
Positive resist: Which become soluble when exposed to X-Ray light in the
developer solution. Example: PMMA and PBS. PMMA produces a resolution
less than 0.1 whereas PBS produces a resolution of 0.5 [10]
Negative resist: The portion, which is exposed to light, doesn’t dissolve in the
developer solution. Example: COP (An epoxy copolymer of glycidyl
methacrylate and ethyl acrylate) which produces a resolution of 1.0.
Figure 4.Types of X-Ray Resist
5.2.2. Advantages
Reduces the limit of diffraction since shorter wavelength of light is used.
It can produce feature size as small as 20nm.
It produces high resolution and less through put.
8. International Journal of Computer Science & Information Technology (IJCSIT) Vol 6, No 6, December 2014
68
There is no proximity effect since secondary electrons don’t have high energy
X-Ray light is not absorbed by dirt and even if there is dirt present on the mask, the
pattern won’t get affected
5.2.3. Limitations
It takes long time for the resist to get exposed.
It is difficult and costly to manufacture X-Ray masks.
5.3. Optical Lithography
Optical Lithography is a process of transferring the pattern from the photographic mask onto the
wafer. It is used in mass-production of ICs with minimum feature size of 250-350 nm. There are
three ways of printing in optical Lithography onto the wafer:
Figure 5. Types of Printing in Optical Lithography
1. Contact Printing: In Contact Printing the wafer and the mask come in close contact with each
other, which makes the life of mask very low but creates a high resolution. It makes use of u-
v light of wavelength 300-400nm. It operates in the Fresnel Diffraction pattern (used to
calculate the diffraction pattern created by waves passing through an aperture or around an
object). The tools used here are optical system, wafer, photoresist film and mask. When the
light passes through the optical system, it makes the light incident on the glass pate. The
silicon wafer is coated with photoresist film.
5.3.1.1. Advantages
Contact printing provides good resolution of images of about 1 to 0.5µm.
It is easy to operate and maintain the equipment.
5.3.1.2. Disadvantages
Masks may get damaged due to contact with the wafer for a long time, so this technique
is only limited to research labs or applications that can tolerate the defects.
2. Proximity Printing: In proximity printing a gap is maintained between the mask and the
wafer, which makes the life of the mask better but does not provide great resolution. This
can help in minimizing the mask getting damaged but still dust particles may be present and
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can damage the photo mask. It operates in the Fresnel diffraction pattern (used to calculate
the diffraction pattern created by waves passing through an aperture or around an object)
where resolution is proportional to is the wavelength of light exposed and g is
the gap between the mask and the wafer, since g is less here in comparison to contact
printing it leads to poor resolution.
5.3.2.1. Advantages
Mask are less defect prone than in pure (hard) contact.
5.3.2.2. Disadvantages
It is hard to align and will lose some resolution of images due to the small gap between
the mask and the wafer resulting in diffraction at feature edges.
3. Projection Printing: In projection printing the distance between the mask and the wafer isn’t
constrained because the pattern on the photo mask is projected directly on the resist coated
wafer and there is no chance of the mask getting damaged as the mask and the wafer are
placed far away from each other. It operates in the Fraunhofer diffraction pattern (used to
model the diffraction of waves when the diffraction pattern is viewed at a long distance from
the bending object). In order to obtain an image of high resolution, only a small amount of
pattern is projected and for a defect free lens system Rayleigh limit formula is applied
0.6 λ NA where λ is the wavelength used and NA is the numerical aperture of the lens system
used.
5.3.3.1. Advantages
Provides high resolution of images.
There is no damage to mask.
5.3.3.2. Disadvantages
Complex equipment requires high maintenance
Provides low throughput
Requires an environmental chamber for controlling
Temperature, humidity and reducing noise
There are two types of optical Lithography: DUV (Deep Ultra Violet Light) and EUV (Extreme
Ultra Violet Light) which are discussed in the following subsections.
5.3.1 Deep Ultraviolet Lithography
Deep Ultraviolet Lithography reduces minimum feature size of the integrated circuits by 50nm.
200-300nm replaces wavelengths of 250-350nm. We use excimer light sources (used in
production of microelectronic devices) to generate DUV light [4]. Currently 248nm (KrF) and
193nm (ArF) excimer lasers [6] are used for development and volume manufacturing of ICs. It is
also used for commercial purposes where xenon mercury lamps with low intensity are used [7].
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5.3.1.1 Advantages:
It helps in saving time and cost of manufacturing ICs is less.
It helps in manufacturing large amount of chips at one time. We can fabricate 200 or
1000 chips instead of one easily.
Wide ranges of resists are available.
5.3.1.2. Disadvantages:
Since the wavelength of light is getting smaller, glasses lenses designed to focus the light
rather absorb the light and very less light is able to reach on the silicon wafer.
Lack of availability of lamps.
A mismatch can occur between the lamp and the resist used.
5.3.2 Extreme Ultraviolet Lithography
In order to keep pace with growing demands of manufacturing small feature size integrated chips,
a new way of reducing the wavelength has been discovered using Extreme Ultraviolet
Lithography. Deep ultra violet Lithography used radiation of wavelength of 248 nm to print the
small-scale features on the wafer. Resolution = K1×λ
Where λ is the wavelength and NA is the numerical aperture. K1 here is 0.25, since below that
double patterning has to be applied which is costly and numerical aperture should not exceed 1.35
as it requires high index lenses and fluid which are not currently available.
Resolution = 0.25×193 = 36nm
One of the important Problems is reducing the wavelength of light and extreme ultraviolet
Lithography comes into the picture and plays an important role in optical Lithography.
5.3.2.1. Procedure
Step 1: Wavelength of 13.5nm is used for EUV. In order to produce such small wavelength, an
excited state atom is required and therefore tin (Sn) is commonly used which is already highly
positively charged. Vacuum plays an important role since wavelength of light is so small that it
can easily be absorbed by air. Accordingly everything ranging from optics to mask is placed
inside a vacuum to generate plasma.
Step 2: There are two methods through which high-energy photons can be generated for making
the pattern on the wafer [11]. Figure 6 shows the layout for producing EUV Lithography.
a. Laser Pulsed Plasma:
i. A pulse laser is fired onto the incoming tin (Sn) droplets which puts these droplets in
the excited state and when comes to relaxed state generates EUV photons. A mirror
focuses these photons to an intermediate focus (If) and passes it to the next level. The
size of the tiny tin (Sn) droplets is usually of diameter 50-100μm.
b. Discharged Pulsed Plasma:
i. Plasma can also be produced by Discharged rather than laser pulsed plasma where
two tin baths are used which are filled by molten tin and two disks are placed which
rotate and pick up tin on their surface when rotated in tin bath. Apply voltage and
throw laser which puts the tin to an excited state and when it comes to relaxed state it
generates EUV photons.
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Figure 6. Layout for producing EUV Lithography
Step 3: After the photons get generated, concave and convex mirrors and not glasses are used
since it does not refract instead reflect.
Step 4: A mask, which contains the pattern, is acted upon by light, which is focused onto the
particular pattern while some light passes through it without even touching the pattern. EUV
Lithography involves reflective optics as well as reflective mask and Brag reflector is used to
make this happen.
Step 5: Brag Reflector: Each of the mirrors contain alternate layers of molybdenum (Mo) and
silicon layers which give a reflection of about 70 percent and together form a brag reflector and
will only reflect the light coming at 13.5nm and others will just pass away.
Step 6: The light then makes the pattern of the mask on the EUV resist coated wafer.
5.3.2.2. Advantages:
Helps in producing minimum feature size.
Numbers of transistors have increased successively which have resulted in greater speed.
Provides high throughput.
Provides good resolution due to low value of wavelength.
5.3.2.3. Disadvantages
Source Problems
1. Brightness: The laser producing plasma is too dim .It has a factor of 10-100x and less
throughput is obtained
2. Reliability and time problems are commonly faced. EUV process can’t be carried out
the whole day since source available is only 0.7 percent and the collector used for tin
gets damaged.
3. Tin debris: sometimes laser doesn’t hit the tin droplets and get collected to form
debris on the collector which can damage the collector and needs to be removed.
Mask Problems
1. Any defects on the mask that gets printed on the wafer will destroy the wafer and
defect free mask is required but for EUV defect free mask is not available.
2. Adequate technology is not available which can easily detect any kind of defect with
printing nor we have repair methods, which can easily repair the defects, and also if
there is defect in the molten layer, then there is no method to repair that defect.
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3. In reality only 0.3814th
of photons actually make it to the wafer since we know that
ranging from source through the mask onto the wafer the reflectivity is 0.7 percent.
Resist
1. Resists used are very similar to those used in wavelengths 248 and 193 nm resists
2. All previous resists had photons hitting at them with energy 6 or 7ev but now the
energy is 92ev, so with such high energy hitting the resist, it generates secondary
electrons and photon electrons which lead to degradation of image quality.
3. Line width roughness and sensitivity are inversely proportional. Higher the
sensitivity lower will be the roughness, which means much higher dose of photons is
required to form the patterns, which depict low roughness.
6. CONCLUSION
Lithography is the base to excel in in the semiconductor industry. For many applications smaller
is better in terms of speed, power consumption and cost. This paper discussed future lithographic
techniques briefly. While the critical dimension in the microprocessor industry is constantly going
down; stringent demands should be made on contamination control, yield enhancement and
particle detection. There still remains debate over costs of many of these methods and the ability
to manufacture integrated circuits in large volume. The ability to manufacture small devices is
crucial for applications in many different areas including microwave circuits, high-speed optics as
well as bio-electronic devices. There is a demand for high-resolution Lithography capability
combined with extreme reproducibility over large areas. Historically photolithography has been
the dominant technique for replication since the origin of microelectronic devices. Several other
techniques are on the edge of technological breakthroughs.
REFERENCES
[1] Weaver, Peter. (1964) The Technique of Lithography. London: B.T. Batsford, p. 49.
[2] Meggs, Philip B. A History of Graphic Design. (1998) John Wiley & Sons, Inc. p 146 ISBN 0-471-
29198-6
[3] Jaeger, Richard C. (2002). "Lithography". Introduction to Microelectronic Fabrication (2nd ed.).
Upper Saddle River: Prentice Hall. ISBN 0-201-44494-1.
[4] Nalamasu, Omkaram, et al. "An Overview of Resist Processing for DUV Photolithography".
[5] La Fontaine, B., “Lasers and Moore’s Law”, SPIE Professional, Oct. 2010, p. 20
[6] Jain, K. “Excimer Laser Lithography”, SPIE Press, Bellingham, WA, 1990.
[7] Jain, K. et al., “Ultrafast deep-UV lithography with excimer lasers”, IEEE Electron Device Lett., Vol.
EDL-3, 53 (1982)
[8] Parker, N. W. et al. (2000). "High-throughput NGL electron-beam direct-write lithography system".
Proc. SPIE 3997: 713.
[9] Broers, A. N. et al. (1996). "Electron beam lithography—Resolution limits". Microelectronic
Engineering 32: 131–142.
[10] Dapor, M. et al. (2010). "Monte Carlo modelling in the low-energy domain of the secondary electron
emission of polymethylmethacrylate for critical-dimension scanning electron microscopy". J.
Micro/Nanolith. MEMS MOEMS 9: 023001.
[11] E. Stoffels et al., Plasma Sources Sci. & Tech. 10, 311-317 (2001).
Author
Mr. Jatin Chopra is currently pursuing B.E (Hons) from Birla Institute of Technology
& Science (BITS), Pilani in the department of Computer Science in Dubai, UAE.