Reviewerly/exHarmony huggingface dataset:
FPGA-based acceleration of stereo matching using OpenCL

Stereo vision finds a wide range of applications for robot navigation, advanced driving support system, and autonomous driving in the automotive industry. The disparity map can be obtained through the implementation of stereo vision architecture using stereo matching. A stereo matching algorithm has recently been executed in FPGA. This study is aimed at assessing the stereo matching with the use of Stratix V FPGA and OpenCL framework. The latter refers to a parallel programming framework that enhances productivity by raising the code’s abstraction. Additionally, OpenCL allows for the processing of stereo matching using channel extensions. In the experiment, we partitioned the OpenCL kernel into three smaller kernels to examine the stereo matching on FPGA for computation. Such an approach enables streaming image pixels from the FPGA global memory. A line-buffer is employed to avoid the load-store dependencies caused by memory accesses when streaming the pixels to the window buffer inside the stereo matching kernel. We can achieve a rapid execution time, which is advantageous for real-time implementation, by streaming the image pixels through an OpenCL kernel partitioned using channel extension. The execution time to compute the disparity map using the stereo KITTI dataset with 1242x375 pixels resolution reaches 2.38 ms or 420 fps for 6x6 sliding window size, 2.44 ms or 409 fps for 7x7, and 2.52 ms or 396 fps for 8x8.
Accelerating Encrypted Watermarking using Wavelet Transform and CKKS Homomorphic Encryption

Encrypted watermarking enables secret watermark embedding on a public platform such as blockchain for better transparency. It offers data and computation traceability to ensure a proveable watermark embedding and validation. Nevertheless, encrypted watermarking has a setback regarding high computation cost and long computation time that hinder its implementation on most blockchain platforms. In this paper, we propose a joint use of discrete wavelet transform (DWT) and CKKS (Cheon-Kim-Kim-Song) homomorphic encryption to speed up and improve the efficiency of encrypted watermarking. The DWT reduces the size of encrypted data to 2L where L refers to the DWT level. Meanwhile, the CKKS encryption speed up the encrypted computation using approximate arithmetic computation and predefined precision. The result shows that CKKS and DWT level 2 is the most optimal solution delivering up to ≈ 27.24 × faster computation and ≈ 5.48 × lesser memory compared to the existing method (BFV-encryption and DCT). In addition, the proposed method has a similar watermarking quality and watermark extractability to non-encrypted watermarking.
Implementation of Road Segmentation Using U-Net Model on Single Board Computer

Technological developments in the era of globalization, several companies are competing in the field of artificial intelligence by developing autonomous drive systems. Training and road segmentation testing in this study were carried out using deep learning with the U-Net architecture method. The advantage of this method over other methods is that U-Net retains the full context of the input image. The road segmentation algorithm is implemented using Python programming. The algorithm is then executed on a single board computer. The parameters sought are the first accuracy with a value of 91.65 %, the second precision with a value of 75.53 %, the third recall with a value of 93.19 %, the fourth F1-Score with a value of 82.99 %, and the last IOU with a value of 71.36 %. The live segmentation algorithm can still detect roads, but some scenes involving objects are not included in the road segmentation process. This is due to several factors such as confusing light conditions, blur, shadows, and colors. Live segmentation using RGB frame produces an average FPS value of 0.30, and without RGB produces an average FPS value of 1.82.
Block-chain based electronic health record system

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Sooraj Jayakumar, Srirag Ajith, Sriram N. R., Varsha Reddy K., Narayana Swamy Ramaiah; Block-chain based electronic health record system. AIP Conf. Proc. 27 February 2023; 2427 (1): 020017. https://doi.org/10.1063/5.0101344 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Method for improving the quality of restoration of noisy compressed images

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation E. V. Medvedeva, I. S. Trubin; Method for improving the quality of restoration of noisy compressed images. AIP Conf. Proc. 27 February 2023; 2605 (1): 020018. https://doi.org/10.1063/5.0110392 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Framework For Modeling and Simulation of Secure Cloud Services

Many companies recognize the importance of cloud computing all around the world. However, various worries keep businesses from adopting cloud computing. Data security, privacy, and trust difficulties are among them. Recently, there have been rapid developments in the progression of cloud computing services. This paper focuses on the design and implementation of the secure cloud services framework by providing secure and trusted storage for user data. Proposed framework generated an encryption key based on a chaotic map generator and encrypted user data. proposed work shows that integration of key with defensive options is more efficient than approaches from those categories of using external keys. A test has been applied on the frame work in cloud slime services and show the effectiveness of the proposed solution to provide secure cloud services. Our model of cloud services show valid ad promising performance with multiple users trail. Index Terms— logistic map , cloud services frame , chaoticmap.
ORTHOGONAL REGRESSED STEEPEST DESCENT DEEP PERCEPTIVE NEURAL LEARNING FOR IoT- AWARE SECURED BIG DATA COMMUNICATION

The Internet of Things (IoT) is a collection of interconnected intelligent devices that exists within the larger network known as the Internet. With the increasing popularity of IoT devices, massive data is generated day by day. The collected data need to be continuously uploaded to the cloud server. Besides, the transmission of data in the cloud environment is performed via the internet, which faces numerous threats. However, the security issue always lacks an effective big data communication. Therefore, a novel technique called Orthogonal Regressed Steepest Descent Deep Structured Perceptive Neural Learning based Secured Data Communication (ORSDDSPNL-SDC) is introduced with higher accuracy and lesser time consumption. The ORSDDSPNL-SDC technique comprises three phases, namely registration, user authentication, and secure data communication. In the ORSDDSPNL-SDC technique, the registration phase is carried out for creating the new ID, and password for each user in the cloud. The IoT device's data is then sent to a cloud server by the cloud user for storage. After that, the orthogonal regressed steepest descent multilayer deep perceptive neural learning is applied to examine the user_ ID with already registered ID based on Szymkiewicz–Simpson coefficient. Then the Maxout activation function is to classify the user as authorized or unauthorized. Finally, the steepest descent function is applied for minimizing the classification error and increasing the classification accuracy. In this way, the authorized or unauthorized user is identified. Then the secured communication is performed with the authorized cloud users. Experimental evaluation is carried out on the factors such as classification accuracy, classification time and error rate, and space complexity with respect to a number of users. The qualitative results and discussion indicate that the proposed ORSDDSPNL-SDC offers elevated performance with regard to achieving higher classification accuracy and minimum error as well as computation time when compared to the existing methods.
Design of the position control system of parabolic solar concentrators through collector by electrical drive

Solar energy is one of the most important renewable energies due to its abundance and sustainability. This has led to a great development in the technologies used to obtain them, which are increasingly effective and varied, such as solar thermal collection technology. Solar thermal collection technology to obtain a greater capture of solar energy requires a monitoring mechanism for its use, either manual or automatic. This work provides a proposal for automatic solar tracking in Parabolic Trough Solar Concentrators, with the aim that they absorb as much solar energy as possible during the day from the position control of their reflectors to faithfully follow the solar path. The positioning of these collectors is done by an electric drive and using a Raspberry Pi single-board computer as a control and command unit. The geared motor and the other elements that conform to the system were selected in compliance with the requirements of the application. The programming of the position control system implemented in the Raspberry Pi is carried out and the collectors are provided with wind safety. Finally, the results of the simulation tests made with the help of the MATLAB tool are carried out and shown. In addition to an economic and environmental analysis that demonstrates the reliability of the project. The system design generated a satisfactory result for sun tracking using the developed algorithm.
Compact Operators

In this chapter we will study a special class of linear transformations between Banach spaces which generalize several properties of linear transformations between finite dimensional spaces.
Maximizing the power generation using solar tracking PV-TEG hybrid system

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Vibha K., Nivetha Sivakumar, Surya Suresh; Maximizing the power generation using solar tracking PV-TEG hybrid system. AIP Conf. Proc. 27 February 2023; 2427 (1): 020050. https://doi.org/10.1063/5.0100838 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
The Welfare Effect of Gender-Inclusive Intellectual Property Creation: Evidence from Books

Women have traditionally participated in intellectual property creation at depressed rates relative to men. Book authorship is now an exception. In 1970, women published a third as many books as men. By 2020, women produced the majority of books. Adding new products can have significant welfare benefits, particularly when product quality is unpredictable. Using data on sales of 8.9 million individual titles at Amazon, 2018-2021, along with information on 200 million ratings of 1.8 million books by 800,000 Goodreads users, I develop measures of both the supply of new books by male and female authors, as well as their usage by heterogeneous consumers. I show that growth in female-authored books has delivered a roughly equal proportionate increase in the female-authored shares of consumption, book awards, and other measures of success, indicating both that the additional female-authored books are useful to consumers and that product quality is unpredictable. I calibrate a simple structural model of demand with unpredictable product quality to quantify the welfare benefit from the additional female-authored books. While revenue gains to female authors come partly at the expense of male authors, gains to consumers from inclusive innovation are experienced by a wide range of consumers.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
Building e-collection «The Papers of the Academy of Sciences» at the RAS Library for Natural Sciences

The process of building the electronic collection of the journal «The papers of the Academy of Sciences» at the RAS Library for Natural Sciences is discussed. All the stages are described, from retrospective cataloguing, reduplication, search for the issues missing, updating entries, digitization, linking digital copies to existing bibliographic records, etc.
All-Russian Science Educational Project «Kids Nobel» as the site to promote scientific knowledge to the younger generation

Promoting science and research, educating children in scientific knowledge through practical activities will enable intellectual potential and competitiveness of this nation. However, the international survey demonstrates not so high level of knowledge in natural sciences. The All-Russian Science Educational Project «Kids Nobel» promoted by the National Library Association «Libraries of the Future» with the support of the Presidential Grants Foundation is the initiative to popularize scientific knowledge and engagement of 7–8 graders in scientific research activities. The project is to identify and support talented kids, contribute to the interest the children take in science and make them discover scientific research activities. The public libraries as important social communication institutions are to provide opportunities for personal empowerment and development; they play the key role in this project. The author discusses main provisions, terms and key events of the «Kids Nobel» Project , as well as its prospects.
Publishing as a vector of Kaluga libraries local studies

The author addresses the issues of local studies and publishing of Kaluga libraries, as well as their experience in organizing and holding local history conferences, and developing the collection of digitized local history materials.
The communication strategy of specialized library and its efficiency: The experience of CSTL C&amp;A

The study addresses the modern trends and strategies in digitization. The library has to be live, accessible, understandable and interesting to modern users/readers. The author analyzes the efficiency of various marketing instruments in building communication strategy as exemplified by the Central Scientific and Technological Library in Construction and Architecture.
Human resources for regional libraries: How to meet the challenges of modernity?

The author examines one of the key challenges the modern libraries are facing, namely building the human resources with the account taken of changed library functionality and global digitalization. The experience of Vladimir Region is discussed to reveal typical staffing problems of libraries. Possible solutions are suggested, for Vladimir region, specifically. The need for integrative approach to solve the HR problem, is substantiated.
The sci-tech library collection as the resource for studies in the humanities

The paper is prepared within the framework of the Government Order No. AG- 65 to CSTL C&amp;A for 2022. The author examines the possibilities of using the collections of specialized sci-tech library for the LH studies. She uses the example of Japanese art to illustrate the library’s resource potential for such studies.
The State Rubricator of Sci-tech Information-2022: Updating the subject scope in maths, physics and geology

The author discusses updating the model STRSTI-2021 version. She analyzes the structure of subject vertices levels in STRSTI-2022. The examples of STRSTI subject and structural contents in the priority disciplines of mathematics, physics and geology, included into the Program of Fundamental Studies in the Russian Federation for the years 2021–2030, are offered. Further vectors for updating are identified. The paper is prepared within the framework of the Government Order No. 1021070112681-2-1.2.1;5.8.3 (FNEG-2022-0006).
Web-portal of the Republican Sci-tech Library as the technological framework to provide information resources to sci-tech professionals

Information potential of the Republican Scientific and Technical Library Internet-portal is discussed. The portal is to support science, technologies and innovative activities in the Republic of Belarus.
Information component of innovative activities: An educational aspect

Information support of innovative activities is discussed. The author addresses the suggestion to initiate regional programs for improving information competence of innovators. The arguments for implementing university professional development programs are offered. The sample thematic structure of professional development program is discussed.
Incorrect Data in Table

2 In listing potential conflicts of interest, I disclosed relationships with companies I judged were relevant or reasonably related to the views I expressed, as suggested by guidance from the International Committee of Medical Journal Editors.The first Letter 1 responded to a manuscript titled "Seven Questions for Personalized Medicine." 3 The article expressed disappointment with the impact of personalized medicine on the practice of health care.We believed that the authors conflated personalized medicine with genomic medicine and overlooked the contributions of predictive molecular diagnostics.Our Letter made 2 points: (1) personalized medicine is more than genomic medicine, and (2) molecular diagnostics, a component of personalized medicine, was already enhancing medical care.Given these 2 points, I listed as potential conflicts the boards I served on that I thought were relevant to the letter: CareDx, Nodality, Press Ganey, and Crescendo Biosciences.The second Letter 2 discussed the impact of the Affordable Care Act on improving health care through the value of enhanced access to care. 4 We agreed but raised the point that to improve health, access to care should be accompanied by more effective delivery of care.Personalized, preventive, and participatory care was used as an example.I could identify no boards that I was on that I thought were relevant to the very general concept raised.Given current emphasis on broader disclosure of conflict of interest, if writing these Letters today I would include the aforementioned boards in both Letters and add relationships during the 3 years preceding their writing.These include the boards of Targacept
SPAM (Smart Patient Monitoring System) using Structural Similarity Index Measurement

Abstract. The number of patients in Hospital during pandemic covid-19 has increasing significantly which cause do not get the optimal service because limitation of human resource. Furthermore, they need tools to detect human in patient’s room and monitor the movement of people. IoT capable to control the room properly. Regarding to these problems, the aim of this research is to develop SPAM (Smart Patient Monitoring System) which implement Internet of Thing (IoT) to control the patient in hospital using Rasberry Pi. Those data are real-time and completed by notification via telegram. Consequently, if there are emergency they can observe easily. We use Scructural Similarity Index Measurement (SSIM) technique by comparing different images on several consecutive frames of video by Rasberry Pi. The research methodology is instrument preparation, design system, data processing, testing and evaluation. The experiment prove that the system has effectively spotted human things accurately captured on camera more than 15 trials. Although there is a delay of between 5 and 40 seconds, notifications are also correctly transmitted. The system correctly recognizes when the light is bright with lux &gt; 100 when evaluating the level of light intensity at a distance of 50 cm to 300 cm.&#x0D; &#x0D; Keywords: Security, Internet of Thing, Hospital, SSIM, Rasberry Pi
The Implementation of Business Process Blockchain Technology Based of MSCWR SmartBox Model

Blockchain technology uses in many fields, and one of them is logistics. This study aims to propose designing and implementing a blockchain technology-based application for logistics delivery combined with the Internet of Things (IoT) called MSCWR. Logistics and delivery of valuable products have a common problem, and security is also questionable. Therefore, the research process in making prototypes starts by defining the problem, planning, prototyping, testing, and designing validation. The methodology used is User-Centered Design, focus group discussion conducted with business actors directly, and system or prototype development using the System Development Life Cycle framework. As a result, the business processes create using an activity diagram, the features define using a use case diagram, and the screen design to show the prototype development created at an early stage in the research. Finally, the testing conducts to test how well the system is running. In the end, the validation of test results performs in good results&#x0D;
Cloud Security Risk Management Quantifications

Due to the economic scale, cloud providers can deliver high-quality cloud ecosystems (computer security and privacy) that are stronger and more secure than their surroundings. Therefore, cloud risk management has the ability to favor various organizations. This chapter argues the risk classification that associations face: administration, finance, transaction, legal debt, security, stock, safety, and others. Risk quantifications can observe as a fully integrated function in cloud security and cloud storage solution for customer data. For example, the prosperity of a cloud-established solution relies on the cloud assessment, the estimated cloud services type, the data involved, and the degree of criticism of the system, expense control, types of services, and any related regulations. Therefore, the cloud information system is vulnerable to a threat that has severe consequences for organizational activities (travel, activities, or dignity) and organization property, respectively. Organizations need to adequately reduce the risks of information systems for further business objectives and functions. The risk management framework security goal for corporations is to figure out is a cost-efficient and effective safety management system with the safety requirements.
Creating inclusive and engaging online courses: A teaching guide

"Creating inclusive and engaging online courses: A teaching guide." The Social Science Journal, ahead-of-print(ahead-of-print), pp. 1–2 AcknowledgmentsThe authors express their gratitude to Indonesian Researchers for Language Learning and Teaching, particularly Sayid Ma’rifatulloh, for his initial readings and editing of the manuscript.