The Art of the Process: The Creation and Production of Wrinkles in Our Clothing

Wrinkles in Our Clothing One night after a party Andrew realizes that he has never truly lived. Christine finds her passion somewhere she never thought she could have it. These two young adults, making their way through college, realize that now is the time to decide how they will choose to live their lives. They face the challenges that most young adults face such as societal expectations, a parent’s ideal image of their child, and having the courage to take that first step. Although these two do not meet in the lives of their characters they appear to know each other in a few places throughout the play. This is a device to reflect the common ground of those who struggle with identity. They meet in an opening sequence of the play as a device to introduce the play as their story. Their lives are each affected by the same person. A person who cares about the lives of those around her, Janet

Exploration of alternative supply chains and distributed manufacturing in response to COVID-19; a case study of medical face shields - Express article

Quarantine conditions arising as a result of the coronavirus (COVID-19) have had a significant impact on global production-rates and supply chains. This has coincided with increased demands for medical and personal protective equipment such as face shields. Shortages have been particularly prevalent in western countries which typically rely upon global supply chains to obtain these types of device from low-cost economies. National calls for the repurposing of domestic mass-production facilities have the potential to meet medical requirements in coming weeks, however the immediate demand associated with the virus has led to the mobilisation of a diverse distributed workforce. Selection of appropriate manufacturing processes and underused supply chains is paramount to the success of these operations. A simplified medical face shield design is presented which repurposes an assortment of existing alternative supply chains. The device is easy to produce with minimal equipment and training. It is hoped that the methodology and approach presented is of use to the wider community at this critical time.</p

Real-Time Head Pose Estimation on Mobile Platforms

ABSTRACT Many computer vision applications such as augmented reality require head pose estimation. As far as the real-time implementation of head pose estimation on relatively resource limited mobile platforms is concerned, it is required to satisfy real-time constraints while maintaining reasonable head pose estimation accuracy. The introduced head pose estimation approach in this paper is an attempt to meet this objective. The approach consists of the following components: Viola-Jones face detection, color-based face tracking using an online calibration procedure, and head pose estimation using Hu moment features and Fisher linear discriminant. Experimental results running on an actual mobile device are reported exhibiting both the realtime and accuracy aspects of the developed approach

Enhancing Federated Learning with spectrum allocation optimization and device selection

Machine learning (ML) is a widely accepted means for supporting customized services for mobile devices and applications. Federated Learning (FL), which is a promising approach to implement machine learning while addressing data privacy concerns, typically involves a large number of wireless mobile devices to collect model training data. Under such circumstances, FL is expected to meet stringent training latency requirements in the face of limited resources such as demand for wireless bandwidth, power consumption, and computation constraints of participating devices. Due to practical considerations, FL selects a portion of devices to participate in the model training process at each iteration. Therefore, the tasks of efficient resource management and device selection will have a significant impact on the practical uses of FL. In this paper, we propose a spectrum allocation optimization mechanism for enhancing FL over a wireless mobile network. Specifically, the proposed spectrum allocation optimization mechanism minimizes the time delay of FL while considering the energy consumption of individual participating devices; thus ensuring that all the participating devices have sufficient resources to train their local models. In this connection, to ensure fast convergence of FL, a robust device selection is also proposed to help FL reach convergence swiftly, especially when the local datasets of the devices are not independent and identically distributed (non-iid). Experimental results show that (1) the proposed spectrum allocation optimization method optimizes time delay while satisfying the individual energy constraints; (2) the proposed device selection method enables FL to achieve the fastest convergence on non-iid datasets.Comment: This paper is accepted by IEEE/ACM Transactions on Networkin

A platform for otakus to gradually learn and adapt to social conventions

It is believed that good design should not only satisfy users’ needs, but also improve their overall quality of life. Nowadays, with the rapidly increasing amounts of time spent on the internet, more and more people, the majority of them youngsters, claim themselves as otakus since they cut themselves off from face-to-face communication. From my primary and secondary user studies, most otakus have difficulties interacting with strangers in real world contexts, but some do want to expand their social networks. This design hypothesis is to provide opportunities for otakus to meet people and build friendships in real life. The purpose of this thesis is to use design methodologies to accomplish this hypothesis. The objective is to adopt design approaches to enhance the connections among otakus in face-to-face scenarios by incorporating what is learned from research on and with the target group. Based on the analysis of the user group who regard themselves as otakus, my final design adopts a user-centered approach in order to accurately address the problems. Previous otaku studies are valuable and inform this interaction design. Yet with such general information as a guide, it is still essential to identify the otakus users’ needs and problems they face in their daily routines. Therefore, I conducted a survey to learn about otakus’ social-phobias techniques skills and needs. The interview data provided more detailed information to identify user requirements and needs. According to the survey data, 79% of otakus are willing to meet more friends in real life, which indicated that most otakus wanted to meet more people in real belief as long as they are able to choose where and when to meet, as if they were playing a game. They lack the face-to-face communication practice with live people in various scenarios. The mobile phone is the best medium to reach out to otakus; cell phones are the most highly-used electronic device of all screen technologies. Thus, this design thesis developed the mobile app “Say Hey,” a social app with a role-playing game format. “Say Hey” a social app with a role-playing game platform. Using this app, otakus will act as game characters and finish a set of tasks, which involves offline entertainments, including interacting with their physical surroundings. In this way, participating otakus will start to connect the virtual world (mobile application) and the real world (offline activities). By using this app, they will have to collaborate with other people to finish tasks, which will connect them with other players and people in real life, starting a trivia challenge. As a result, the objective is that Say Hey will improve their interpersonal communication skills. The ultimate design goal of this thesis project is to help otakus gradually get involved in real society and frequent interpersonal communications in daily life

Planar Element Alignment System

Precise alignment to the micron level is a necessity for microfluidic/micromechanical devices to function as designed. Because of this, a micro-alignment device was commissioned by Professor Hans Mayer on behalf of the Cal Poly Microfluidics Laboratory. Prototype creation was bounded by a set of requirements including, ability to align PDMS & Silicon wafer halves to ± 10 microns, total process speed of three minutes, and total budget of $3000. Some major design hurdles included an ability to verify alignment, possible non-planar alignment pieces, and an inability to contact any point on the face of the alignment pieces after bonding treatment. These were addressed by using clear, acrylic vacuum chucks and two digital cameras. That way, alignment could be verified visually with the camera and see-through vacuum chuck and the vacuum chuck would be able to secure the alignment pieces while only contacting a single face. The possible non-planar surface of the alignment pieces was determined to be a concern but will be assessed whether it needed addressing during testing. Manufacturing/sourcing of each piece of the prototype went generally smoothly. One delayed piece made it unable to fully assemble the prototype for a final verification test. However, the stages purchased are more than capable to meet the design alignment requirements and the total budget was more than met. The final design requirement of a total process time of under three minutes unfortunately remains untested

Research on shearer positioning experiment based on IMU and UWB at the end of underground coal mining working face

The long-term precision of shearer independent positioning device is an important research content of intelligent mining. The current shearer positioning accuracy is hard to meet the demands of automatic mining, and we established a fusion positioning model based on IMU/UWB, and proposed autonomous correction to compensate the drift error of inertial navigation device for the coal mine working face by using the fusion results of IMU/UWB to correct the position and posture of inertial positioning system. It can compensate the deviation of IMU in real time, and realize long-term high-precision autonomous cycle cutting of the shearer. To reduce the influence of uncertain measurement noise on the positioning results, we use variational Bayesian unscented Kalman filter (VB-UKF) technique to smooth the positioning results in order to further improve the fusion positioning accuracy. To verify the positioning accuracy of the mining face end, fusion positioning experiments are conducted in Taiyuan Heavy Machinery Co., Ltd on the ground and Shandong Energy Group coal mine working face in the underground, respectively. The experimental results demonstrate that, the accuracy of IMU/UWB fusion positioning is higher than that of the single UWB solution. After smoothing via the VB-UKF algorithm, the error in the x-axis and z-axis orientation of the IMU/UWB fusion localization for underground experiments decreased from 0.0102 m and 0.194 m to 0.082 m and 0.158 m, respectively, and the corresponding average accuracy improved by 19.6% and 18.6%. The error of the three pose angles is less than 2°, because the error extended Kalman filter compensates and modifies the IMU bias in the fusion localization model, which can effectively suppress the drift of the IMU posture angle. The underground field experiment proves the effectiveness of the positioning method of coal mining face end, which provides better reference and experience for the further application in underground coalmine by using IMU/UWB fusion positioning

Towards Developing an Effective Hand Gesture Recognition System for Human Computer Interaction: A Literature Survey

Gesture recognition is a mathematical analysis of movement of body parts (hand / face) done with the help of computing device. It helps computers to understand human body language and build a more powerful link between humans and machines. Many research works are developed in the field of hand gesture recognition. Each works have achieved different recognition accuracies with different hand gesture datasets, however most of the firms are having insufficient insight to develop necessary achievements to meet their development in real time datasets. Under such circumstances, it is very essential to have a complete knowledge of recognition methods of hand gesture recognition, its strength and weakness and the development criteria as well. Lots of reports declare its work to be better but a complete relative analysis is lacking in these works. In this paper, we provide a study of representative techniques for hand gesture recognition, recognition methods and also presented a brief introduction about hand gesture recognition. The main objective of this work is to highlight the position of various recognition techniqueswhich can indirectly help in developing new techniques for solving the issues in the hand gesture recognition systems. Moreover we present a concise description about the hand gesture recognition systems recognition methods and the instructions for future research

The Power of Models: Modeling Power Consumption for IoT devices

Low-energy technologies in the Internet of Things (IoTs) era are still unable to provide the reliability needed by the industrial world, particularly in terms of the wireless operation that pervasive deployments demand. While the industrial wireless performance has achieved an acceptable degree in communications, it is no easy task to determine an efficient energy-dimensioning of the device in order to meet the application requirements. This is especially true in the face of the uncertainty inherent in energy harvesting. Thus, it is of utmost importance to model and dimension the energy consumption of the IoT applications at the pre-deployment or pre-production stages, especially when considering critical factors, such as reduced cost, life-time, and available energy. This paper presents a comprehensive model for the power consumption of wireless sensor nodes. The model takes a system-level perspective to account for all energy expenditures: communications, acquisition and processing. Furthermore, it is based only on parameters that can empirically be quantified once the platform (i.e., technology) and the application (i.e., operating conditions) are defined. This results in a new framework for studying and analyzing the energy life-cycles in applications, and it is suitable for determining in advance the specific weight of application parameters, as well as for understanding the tolerance margins and tradeoffs in the system

A Multiprocessor Platform Based on FPGA Technology Targeted for a Driver Vigilance Monitoring Device

Medical devices processing images or audio or executing complex AI algorithms are able to run more efficiently and meet real time requirements if the parallelism in those algorithms is exploited. In this research a methodology is proposed to exploit the flexibility and short design cycle of FPGAs (Field Programmable Gate Arrays) in order to achieve this target. Hardware/software co-design and dynamic partitioning allow the optimization of the multiprocessor platform design parameters and software code targeting each core to meet real time constraints. This is practically demonstrated by building a real life driver vigilance monitoring system based on visual cues extraction and evaluation. The application drives the whole design process to prove its effectiveness. An algorithm was built to achieve the goal of detecting the eye state of the driver (open or closed) and it is applied on captured consecutive frames to evaluate the vigilance state of the driver. Vigilance state is measured depending on duration of eye closure. This video processing application is then targeted to run on a multi-core FPGA based processing platform using the proposed methodology. Results obtained were very good using the Grimace Face Database and when operating the system on one’s face. On operating the device, a false positive of eye closure must take place two consecutive times in order to get an alarm, which decreases the probability of failure. The timing analysis applied proved the importance of using the concept of parallelism to achieve performance constraints. FPGA technology proved to be a very powerful prototyping tool for complex multiprocessor systems design. The flexible FPGA technology coupled with hardware/software co-design provided means to explore the design space and reach decisions that satisfy the design constraints with minimum time investment and cost