Reviewerly/exHarmony huggingface dataset:
Instance Segmentation of Images Above the Ceiling Using Mask R-CNN

Above the ceiling is a space between a suspended ceiling and a true ceiling of each floor in office buildings. It is used for installing heating, ventilation, and air conditioning (HVAC) equipment, electrical conduit, and more. Inspecting this space needs to be proceeded with caution due to its fragile tiles, low height, darkness, and multiple obstructions. Automatic retrieving and understanding of information of this space has the HVAC industry&#x0027;s attention since it helps reduce work on inspecting and maintaining the current state of the equipment. To explore to what extent a machine can understand objects in the above ceiling space, 701 images are collected and annotated. Six groups of prevalent objects are trained with the instance segmentation Mask R-CNN architecture. The most prevalent objects found above the ceiling, namely, threaded rod and cable, can be detected at F1 scores of 0.96 and 0.88, respectively. Metal bar and pipe, which are found to be approximately half of the most prevalent objects, have F1 scores of 0.89 and 0.79, respectively. The least found common objects, namely, duct and HVAC-E, have F1 scores of 0.69 and 0.82, respectively.
Cognitive Intelligence

The theme of IEEE ICCI*CC'16 on Cognitive Informatics (CI) and Cognitive Computing (CC) was on cognitive computers, big data cognition, and machine learning. CI and CC are a contemporary field not only for basic studies on the brain, computational intelligence theories, and denotational mathematics, but also for engineering applications in cognitive systems towards deep learning, deep thinking, and deep reasoning. This paper reports a set of position statements presented in the plenary panel (Part I) in IEEE ICCI*CC'16 at Stanford University. The summary is contributed by invited panelists who are part of the world's renowned scholars in the transdisciplinary field of CI and CC.
Qualitative Study Design and Data Collection

While the prior chapter set the stage for an understanding of the nature of qualitative evaluation, this chapter will offer strategies for planning a study and making decisions about how to gather data. The process is depicted as an iterative looping through steps beginning with idea generation to dissemination of results. It is critical that strategies for rigor be incorporated throughout the process. This chapter outlines methods for data collection utilizing interviews, focus groups, observation, and naturally occurring data, and then it also describes combinations often used together, which constitute toolkits of complementary techniques.
Cyber Attacks, Contributing Factors, and Tackling Strategies

This article describes how as access to the Internet has increased, cybersecurity has become important, with businesses and the government spending much time and resources to combat cyber attacks. The purpose of this article was to review the existing literature related to cybersecurity. Specifically, the review synthesizes the empirical research in (1) various types of cyber attacks, (2) contributing factors related to cybersecurity behavior, and (3) strategies to improve cybersecurity behavior. The most developed line of research in this area has been focusing on the strategies to improve cybersecurity behavior, showing a questionable trend of quickly creating solutions before fully conceptualizing the problem.
Application of Blockchain Technology in North China Power Dispatching and Auxiliary Services

Blockchain has irreversible storage characteristics and the automatic execution of smart contract transactions. Blockchain technology will provide support for the safe operation of the power grid and promote the development of power grid business. In this paper, blockchain technology is applied to the dispatch control and auxiliary services of North China power grid, and the North China dispatch blockchain is designed to enable several provincial and municipal dispatching centers under the North China Dispatch center to upload data in real time, and to realize the automatic transaction of auxiliary service and the storage and query function of transaction voucher. The aggregator, peak-shaving auxiliary service platform, and the source-grid-load-storage platform all interact with the State Grid chain/North China Dispatch chain, and realize the trusted transmission of information through the cross-chain interaction between the two chains. The construction of the dispatch blockchain in North China is helpful to the information construction of the power grid and the operation of the auxiliary market.
Towards a Low-cost and Mobile System for Quarantine Tracking during Pandemics

In recent years, the coronavirus pandemic has caused and continues to cause a large number of deaths today. Governments all over the world have taken measures to reduce the spread of the virus. Home quarantine was proven to be a successful way to control and mitigate the spread of COVID-19. The current methods of tracking home-quarantined people use tracking bracelets or mobile applications, which are still in their early development stage. In this paper, we propose a quarantine tracking system to track users during their quarantine period. The system consists of a web portal designed for the concerned authorities and the quarantined user&#x0027;s mobile application. The proposed application randomly prompts users to verify their quarantine by uploading their selfies. We verify the user&#x0027;s quarantine status through an automatic location and selfie verification. Our system provides a specific set of features that can be set by the concerned authorities, such as the frequency of prompts and the allowed response time. Violation reports can also be accessed by the concerned authorities to keep track of quarantined users&#x0027; violations. Our results validate the usefulness and potential of our system as a quarantine tracking tool. It also opens the door for further development, allowing governments to handle any upcoming pandemics.
Population Initialization of Seagull Optimization Algorithm with Pseudo Random Numbers for Continous Optimization

This study is presenting a new nature-inspired algorithm termed as Seagull Optimization (SOA) to decipher the complex computational problems. The major concern of this approach is the attacking and migration attribute of seagull. To focus on the exploitation (local search) and exploration (global search) in the defined region, this study proposed two novel initialization approaches of SOA called SOA with SIMD-oriented Fast Mersenne Twister Generator (SOA-SOFMTG) and SOA with Combined Multiple Recursive Generator (SOA-CMRG). The convergence rate of the presented variants has been examined with simulation results and convergence graph of eight benchmark test functions. The effectiveness of proposed variants is investigated with Kruskal-Wallis statistical tests. The computational results conclude that the proposed variants of SOA is capable to resolve the complex optimization problems as compared to the standard SOA.
An Exploration of the Influence of 2D Image-Based Augmented Reality, Virtual Reality, and on-site experiment on Learning Achievement and Technology Acceptance: Based on a Secondary School Chemical Experiment Class

In recent years, due to the rapid development of information technology, virtual reality (VR) and augmented reality (AR) began appearing as teaching assistance in classroom. While before the technology-assisted classroom, laboratory classes tended to use physical teaching aids and accurate experimental procedures to help students understand the content. In order to explore the differences in learning achievement between on-site chemistry experiments and experiments conducted in AR and VR. Also, to understand the technological acceptance of AR and VR. A pre-test, post-test, and technology acceptance questionnaire is designed. The experiment also use snowball sampling and invited 38 students from Hanzhong City, Shaanxi Province, to participate. A total of 30 available data were collected. A quantitative approach was used to draw relevant conclusions. It was found that the learning achievement of on-site chemistry experiment was the best, the AR group was the second, and the VR group came to the last. In terms of technology acceptance, the AR group showed more positive performance than the VR group. This attitude also positively fed back to the learning achievement of the AR group, and the students in the AR group also had the less psychological burden.
Eye Tracking and Head Movement-Orientation Solution Design To Perceive People's Mind While Seeing COVID-19 Advertisements

Knowing what's on someone's mind might be challenging because only that person knows what's on their mind. COVID-19 advertisements are public service announcements, which raise public awareness of the issues occurred. A solution is needed to be able to find out what kind of advertisements attract someone to be memorized and to make COVID-19 advertisements even better. It is difficult to get the information in people's mind when they see the COVID-19 advertisement, a method and tools are needed to be able to mine the information which represent the human mind. We proposed the solution design based on Internet of Things (IoT) by using glasses to detect and record eye movements by using heat map. Accelerometer and gyroscope embedded in glasses are also needed to capture the head movement-orientation to perceive the gaze information to find out the pattern which COVID-19 advertisements can attract their attention to be memorized.
Challenges of Inter-organizational Information Security in Healthcare Services: Health Regulator's Perspective

Inter-organization Information Technology (IT) relationships enhance the collaboration among organizations to deliver better healthcare services. This study aims to analyze information security practices and challenges for inter-organizational IT relationships in healthcare services from health regulator's perspective namely the National Health Insurance Agency (BPJS-K) who provides an inter-organization system to support the relationships. We use the qualitative research method with thematic coding as data analysis techniques. Data are collected using an online interview with three middle management in the IT division from BPJS-K. The results revealed some information security threats on inter-organizational systems. Even though BPJS-K has implemented some security measures to protect the systems, it must address some challenges to improve them. This study discusses some theoretical and practical contributions for inter-organizational information security.
Research on ORB mismatch elimination algorithm based on fusion of gradient and cosine similarity

The traditional ORB algorithm has low matching accuracy. To improve the accuracy of the feature matching algorithm, we propose a new method that can effectively improve the accuracy of the feature matching of the ORB algorithm. The algorithm is based on the fusion of gradients and pixels (PG &#x005F;ORB). Firstly, the histogram equalization is used to improve the image contrast. Then, we exploit the combination of pixels and gradients to make the features more obvious. Finally, we operate the cosine similarity analysis to analyze the correlation between the descriptors to eliminate mismatches. The experimental results show that our method outperforms than the traditional ORB algorithm. Not only is the matching accuracy increased by 4.66&#x0025;, but the rejection accuracy is increased by 26.78&#x0025;.
Philosophical aspect of culturological study of cinema

This article focuses on the issue of developing a separate trend in cinema studies — the philosophy of cinema. The experience of the auteur cinema, related to direct visualization of the philosophical underones in films, and its relation to such philosophical movements as the philosophy of life, existentialism, postmodernism, etc, creates a neccessity to develop such a trend. The article underlines some specific problems of cinema that require philosophical research. This is, first, the problem of the cinematic experience that the authors put under scrutiny discussing the collective monograph “Cinematic experience. History — theory — practice”, produced by the philosophers from St. Petersburg. Secondly, it is the specifics of time in cinema, for the discussion of which the authors address the concepts of A. Bergson, M. Heidegger and G. Deleuze. Thirdly, the article raises the question of corporeality, this topical philosophical problem today — here it is discussed in relation to cinema. The intrusion of technology into the communication of cinema with the mass audience noticeably destroys the existing connection between the rational and the sensual, the spiritual and the corporeal principles in thinking and in the perception of art.
NFR Classification using Keyword Extraction and CNN on App Reviews

Documentation and fulfillment of software requirement are important aspects in measuring the success of a team in developing software. In the field of requirement engineering, there are two types of requirements namely functional requirements (FR) and non-functional requirements (NFR). Nowadays, requirements may also be found in app reviews, so this study conducted to classify non-functional requirements collected from app reviews. We classify keywords into 2 categories, namely project specific (PS) and non-project specific (NPS) and we propose an automatic method to extract them from app reviews and app description. We classify app reviews plus keyword extracted using convolutional neural network (CNN) and word2vec vectorization into several category of NFRs. Our proposed method managed to extract several keywords and improve the performance of the classification algorithm used. Our proposed method has an average accuracy of 80&#x0025;, precision of 71&#x0025;, and recall of 63&#x0025;. The result show that our proposed method performed better than basic CNN and any classification algorithm.
Safety in operation of the power systems in Vâlcea-Făgăraş-Campulungâ seismic area

An assessment of the tectonic activity in V&#x00E2;lcea-F&#x00E2;g&#x00E2;ra&#x015F;-C&#x00E2;mpulung seismic area is presented, with a direct impact on the power facilities operational safety - especially of the numerous hydropower plants in this area. The analysis of the acquired data revealed that the seismic activity in this mountainous area (with a high hydropower potential) shows an intensifying trend. As the seismic hazard is significant, in order to increase the operational safety of energy equipment and installations, to reduce the damage caused by crustal earthquakes specific to the area, it is strongly recommended that energy equipment and installations to be provided with complex adequate protection systems as warning systems based on local assessment of seismic events.
Alternatives to Huffman Coding by Comparison to Other Algorithms

With advancements in technology and the Data Boom due to the Internet of things (IoT), the world now generates considerable amounts of data. Take the example of self-driving cars themselves; 1 car generates about one terabyte of data in a day. The size of this data makes it difficult to &#x0027;move around.'; hence we require compression algorithms that are efficient, fast, and easy. Moreover, this is where methods like Huffman Coding come into play. The objective of the paper is to compare the efficiencies of data compression algorithms like Huffman Encoding with algorithms of similar or lesser complexity. It is to perform a comparative study of Huffman code with various other codes such as Shannon fano coding, Run-length encoding, ROT13, and Lempel Ziv Welch (LZW), based on the benchmark of compression rate, i.e. message size versus time.
Introduction

This book presents fuzzy system identification and fuzzy system based adaptive control methodologies that employ fuzzy systems as dynamic approximation models of nonlinear systems. Fuzzy system identification can be carried out using offline input/output (I/O) data collection or in an online mode. Dynamic fuzzy systems are treated as the design models of nonlinear systems, whose structure and parameters serve as a foundation for adaptive control designs. This book aims at providing a systematic and unified framework for identification and adaptive control of fuzzy system, especially Takagi–Sugeno (T–S) fuzzy systems.
A Customized DeepICF+a with BiLSTM for Better Recommendation

Recommendations are expected to help users make decisions when users are faced with a large amount of information. One technique for developing a recommendation system is item-based collaborative filtering (ICF), where this approach recommends items based on their similarity to the items with which users already interacted and comparable decisions made by other users. In recent years, many ICF approaches have made significant progress by using deep neural networks to learn similarities from data. Developing a recommender system based on ICF+attention approach has shown a significant output. In this research, we conducted experiments on MovieLens 1M dataset to build movie recommendation. A recent study demonstrates a good result by HR= 0.7084 and NDCG = 0.4380 of its performance. Previous work implemented MLP to predict the next watched movies. MLP performs poorly for prediction compared to BiLSTM performs better for prediction if the data in a historical model. In this work, we modify the architecture of the previous study (DeepICF+a with MLP) by replacing MLP model with BiLSTM Our work shows that the performance have a better result by 0.7121 and 0.4399 for HR and NDCG, respectively with configuration embedding size = 32, layers BiLSTM [64, 32, 16] and number negative = 8. The DeepICF+a with BiLSTM recommendation model provides a better optimization model for Train Loss with a score of 0.2064 and a Test Loss with a score of 0.1263 compared to MLP for train loss with a score of 0.2127 and a Test Loss with a score of 0.3167.
Image Steganography using Cryptographic Primitives

Information security has received exclusive consideration of numerous researchers in the recent past. Various methods for securing sensitive information have been devised either based on steganography or cryptography. The former method is a form of covert communication in which the information is hidden within some other medium like image, audio, video, or text. Whereas in the latter method, the information is encrypted using cryptographic primitives to generate the random-looking cipher text. Both approaches have their strengths and weaknesses. We devised a smart approach by combining the strengths of both methods; randomness from cryptography and data hiding using steganography. We used the most common technique of steganography in spatial domain called Least Significant Bit (LSB) based on RGB image steganography. Generally, in this method, the secret information bits are hidden in LSB of Red, Green, and Blue (RGB) channels of an image in a sequence. This approach is simple and efficient, however, it is prone to data recovery attacks. In order to destroy the sequential hiding, we used cryptographic primitives (AES-128, RC4 and SHA-256) to produce randomness. The randomness is used to determine the location and channel to hide the data. The random sequence generated by cryptographic primitives is only known to sender and receiver, thus an attacker eavesdropping on the message cannot recover the hidden information. After embedding the secret data in an image, we performed qualitative and quantitative analysis to measure the quality of the stego-image. Quantitative analysis includes Mean Square Error (MSE), Peak signal-to-noise ratio (PSNR) and Normalized Cross-Correlation (NCC). Histogram analysis is also performed on all three channels (Red, Green, and Blue) of both, original and stego images. In the end, the proposed model is analyzed against various attacking scenarios.
Young People and the Development of Digital Competence and Autonomy

In previous chapters, we focused in detail on the use of digital technologiesdigital technologies and on the connection between the availability and use of digital technologies and school performance. Digital technologies are not merely a way to learn about new fields and topics; they are a pivotal field in which present-day teenagers acquire sufficient skills and abilities in order to succeed in both their professional and personal lives. Children acquire these abilities gradually from the age at which they start using digital technologies, and this age is continually younger. In this chapter, we focus on how the age at which Czech children start using digital technologies influences the development of their digital literacydigital literacy as teens, and what roles other factors connected to the use of digital technologies play in this development. Specifically, we focus on the connection between the age at which the children start using digital technologies and the Internet and the degree of their perceived competence and autonomy in the use of digital technologies at the age of fifteen. At the same time, we consider whether this relationship is mediated by other variables such as the degree of use of digital technologies or interest in digital technologies. In the first part of the chapter, we present the topic itself and list the main research questions for this chapter. We describe the methodology of the performed analyses and offer a basic description of the individual variables used within the analyses. In the two subchapters, we present the results of the performed analyses, first in the context of the age at which the children start using digital technologies, and then in the context of the age at which they start using the Internet. In the final subchapter, we summarize the answers to the research questions and put our findings in a wider context.
Research on intelligent terminal fusion scheme based on blockchain Technology

With the emergence of digital currency bitcoin, blockchain technology is a distributed shared database technology. The continuous development and updating of blockchain technology provides the possibility of its integration with more fields; At present, Internet of things technology has been widely concerned at home and abroad. This paper first introduces the principles and characteristics of blockchain technology and Internet of things technology, then discusses the integration of blockchain technology and Internet of things technology, introduces the intelligent terminal system based on the integration of blockchain and Internet of things, explains two application scenarios, and finally analyzes the development direction of blockchain and Internet of things technology in the future. This electronic document is a "live" template and already defines the components of your paper [title, text, heads, etc.] in its style sheet.
A slow Cooker Design based on Fuzzy Logic Control Temperature System

Rice cooker and slow cooker have almost the same physical form and use a heating element. Rice cookers work by increasing the temperature until the boiling point, while the slow cooker works by increasing the temperature until it reaches the temperature point and maintains it for a predetermined time. In this research, we designed a system that can control the temperature of the rice cooker to function as a slow cooker. The temperature of the rice cooker can be controlled using a fuzzy logic-based system so that it functions as a slow cooker, with a solid-state relay as a voltage controller on the heating element. Temperature stability in each variation of slow cooker mode selection using fuzzy control occurs at ± 93°C for 2-hour mode, ± 83°C for 4-hour mode, and ± 73°C for 6-hour mode.
Engineer Your Software!

Software development is hard, but creating good software is even harder, especially if your main job is something other than developing software. Engineer Your Software! opens the world of software en