scholarly journals ColorEmo: Color Hunt with Affective Words

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xiaohui Wang ◽  
Yi Song ◽  
Yue Chen ◽  
Chunduo Su ◽  
Danqi Hu

Color is a main channel to express emotions of an image. Selecting a good color scheme with color harmony and proper emotional expression is very important in many fields, such as design. There are many color palette tools to help users search, create, edit, save, and share color themes, but few tools are from the perspective of emotional expression and explicitly address the emotional effects of colors. In this paper, a color hunt system with affective words called ColorEmo is developed. Multiple types of input, including affective words, affective categories in image-scale space, and main colors, are allowed for users with accurate emotional description. Based on the dataset with 428,924 color themes, the system provides rich candidates. The system is designed for user research experiments. The user-friendly interactions are offered for easy color modifications. The affective matching and color harmony are evaluated in real time while changing colors. This system can be used in many scenarios of designs and applications.

Author(s):  
Parastoo Soleimani ◽  
David W. Capson ◽  
Kin Fun Li

AbstractThe first step in a scale invariant image matching system is scale space generation. Nonlinear scale space generation algorithms such as AKAZE, reduce noise and distortion in different scales while retaining the borders and key-points of the image. An FPGA-based hardware architecture for AKAZE nonlinear scale space generation is proposed to speed up this algorithm for real-time applications. The three contributions of this work are (1) mapping the two passes of the AKAZE algorithm onto a hardware architecture that realizes parallel processing of multiple sections, (2) multi-scale line buffers which can be used for different scales, and (3) a time-sharing mechanism in the memory management unit to process multiple sections of the image in parallel. We propose a time-sharing mechanism for memory management to prevent artifacts as a result of separating the process of image partitioning. We also use approximations in the algorithm to make hardware implementation more efficient while maintaining the repeatability of the detection. A frame rate of 304 frames per second for a $$1280 \times 768$$ 1280 × 768 image resolution is achieved which is favorably faster in comparison with other work.


Molecules ◽  
2018 ◽  
Vol 23 (12) ◽  
pp. 3178 ◽  
Author(s):  
Morgan Chandler ◽  
Tatiana Lyalina ◽  
Justin Halman ◽  
Lauren Rackley ◽  
Lauren Lee ◽  
...  

RNA aptamers selected to bind fluorophores and activate their fluorescence offer a simple and modular way to visualize native RNAs in cells. Split aptamers which are inactive until the halves are brought within close proximity can become useful for visualizing the dynamic actions of RNA assemblies and their interactions in real time with low background noise and eliminated necessity for covalently attached dyes. Here, we design and test several sets of F30 Broccoli aptamer splits, that we call fluorets, to compare their relative fluorescence and physicochemical stabilities. We show that the splits can be simply assembled either through one-pot thermal annealing or co-transcriptionally, thus allowing for direct tracking of transcription reactions via the fluorescent response. We suggest a set of rules that enable for the construction of responsive biomaterials that readily change their fluorescent behavior when various stimuli such as the presence of divalent ions, exposure to various nucleases, or changes in temperature are applied. We also show that the strand displacement approach can be used to program the controllable fluorescent responses in isothermal conditions. Overall, this work lays a foundation for the future development of dynamic systems for molecular computing which can be used to monitor real-time processes in cells and construct biocompatible logic gates.


Author(s):  
Nabeel Salih Ali ◽  
Zaid Abdi Alkaream Alyasseri ◽  
Abdulhussein Abdulmohson

Wireless Sensor Networks (WSNs) for healthcare have emerged in the recent years. Wireless technology has been developed and used widely for different medical fields. This technology provides healthcare services for patients, especially who suffer from chronic diseases. Services such as catering continuous medical monitoring and get rid of disturbance caused by the sensor of instruments. Sensors are connected to a patient by wires and become bed-bound that less from the mobility of the patient. In this paper, proposed a real-time heart pulse monitoring system via conducted an electronic circuit architecture to measure Heart Pulse (HP) for patients and display heart pulse measuring via smartphone and computer over the network in real-time settings. In HP measuring application standpoint, using sensor technology to observe heart pulse by bringing the fingerprint to the sensor via used Arduino microcontroller with Ethernet shield to connect heart pulse circuit to the internet and send results to the web server and receive it anywhere. The proposed system provided the usability by the user (user-friendly) not only by the specialist. Also, it offered speed andresults accuracy, the highest availability with the user on an ongoing basis, and few cost.


Energy is an essential component in supporting people’s daily lives and is a significant economical element in development of the country. The eventual depletion of conventional energy resources and their harmful impacts on environment as well as the rising energy costs and the limitations of new energy resources and technologies have pushed efficient energy management to the top of the agenda. But how the energy utilization can be managed? A simple answer to this is viable and real time metering, which enables calculation of run time energy consumption and obtaining the real-time as well as cumulative cost. In this research an Innovative hardware and IoT based solution to this problem is availed that could provide live information related to consumption of electricity by various appliances. The methodology used in this research is mainly based on a hardware tool named Elite 440 which is a meter and provides the data about various electrical parameters. This data so obtained is made visible on the dashboard in a user friendly. The data so visible includes various parameters like voltage, current, power factor etc. Also the data so obtained on the dashboard gets updated in each five minutes and simultaneously the cost gets updated which makes it real time monitoring System.


The Analyst ◽  
2018 ◽  
Vol 143 (16) ◽  
pp. 3798-3807 ◽  
Author(s):  
Yangyang Jiang ◽  
Lin Du ◽  
Yuanming Li ◽  
Quanquan Mu ◽  
Zhongxu Cui ◽  
...  

The real-time continuous-flow PCR inside a 3D spiral microchannel is realized by a novel self-activated microdroplet generation/transport mechanism.


Author(s):  
Rashima Mahajan ◽  
Pragya Gupta

The progressive research in the field of internet of things provides a platform to develop high performance and robust automated systems to control external devices via internet data transfer and cloud computing. The present emerging IoT research including user-friendly and easily-wearable sensors and signal acquisition techniques have made it possible to expand the IoT application areas towards healthcare sector. This chapter aims at providing a rationale behind development of IoT applications in healthcare, architecture details of internet of healthcare things (IoHT), and highlights a step-by-step development of IoT-based heart rate measurement and monitoring system using Arduino. The developed module has been advanced to transmit data over the internet on the ThingSpeak channel to allow remote monitoring in real time. This may help to improve/restore useful life among cardiac patients via real-time monitoring through remote locations.


Author(s):  
N. B. Rachana ◽  
K. G. Srinivasa ◽  
S. Seema

The Airplane Health Surveillance System is an information system which is designed to guide the pilot to make decision under uncertainty. The system is expected to detect the defect along with cause for the delay and airplane crashes which has high impact on society. The system is capable of detecting and diagnosing the defects which may be initiated during a flight. There by trigger a maintenance procedure to safeguard the airplane from possible odds by analyzing the effects caused by the defect detected. Airplane health surveillance system collects data in real-time from flying fleet and makes it available to ground operations. Ground system aims at incorporating new technical and functional features to provide best in class features for operational and strategic insight. In this work two actors are considered namely supplier (airplane manufacturer who delivers the services) and operator (operates the airplane in day to day life). This is a user friendly though has a very powerful impact on the aerospace division by eliminating the uncertain economic loss.


2020 ◽  
Vol 10 (2) ◽  
pp. 42
Author(s):  
Othmar Othmar Mwambe ◽  
Phan Xuan Tan ◽  
Eiji Kamioka

Adaptive Educational Hypermedia Systems (AEHS) play a crucial role in supporting adaptive learning and immensely outperform learner-control based systems. AEHS’ page indexing and hyperspace rely mostly on navigation supports which provide the learners with a user-friendly interactive learning environment. Such AEHS features provide the systems with a unique ability to adapt learners’ preferences. However, obtaining timely and accurate information for their adaptive decision-making process is still a challenge due to the dynamic understanding of individual learner. This causes a spontaneous changing of learners’ learning styles that makes hard for system developers to integrate learning objects with learning styles on real-time basis. Thus, in previous research studies, multiple levels navigation supports have been applied to solve this problem. However, this approach destroys their learning motivation because of imposing time and work overload on learners. To address such a challenge, this study proposes a bioinformatics-based adaptive navigation support that was initiated by the alternation of learners’ motivation states on a real-time basis. EyeTracking sensor and adaptive time-locked Learning Objects (LOs) were used. Hence, learners’ pupil size dilation and reading and reaction time were used for the adaption process and evaluation. The results show that the proposed approach improved the AEHS adaptive process and increased learners’ performance up to 78%.


2020 ◽  
pp. 627-642
Author(s):  
Sindhu Suryanarayanan ◽  
Sreekala Manmadhan ◽  
N. Rakesh

Technology keeps evolving every second. Humans receive all the essential information with just one touch. Be it the weather forecast or ordering any grocery or communicating with one's peers, everything happens so easily and efficiently. It is undoubtedly user friendly. When the same technology associates itself with the medical equipment it becomes easier to fetch and process the patient's data in real time. It also helps to make several life-saving, spontaneous decisions for the critical care. This paper talks about the patient monitoring system. The physiological parameters of the patient are continuously monitored in real time using sensors. The data that is obtained from the sensor is then sent to an Arduino Uno microcontroller where it is analyzed. If the patient's data differs from the required threshold values, an emergency message is sent to the assigned doctor's mobile. This is done using the GSM module which is interfaced with the microcontroller. Verifying the system in software is done using Proteus.


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