Reviewerly/exHarmony huggingface dataset:
DAKEs: Decentralized Authenticated Key Exchange Protocols via Blockchain for Smart City

Authenticated key exchange (AKE) is a classic problem in cryptography, where two participants want to exchange their secret keys without being guessed feasibly. Recently, there has been renewed interest in this problem in the smart city since millions of devices and servers in this environment may involve the problem. New challenges are raised at the same time. One of the greatest challenges is how to facilitate communication between participants. Traditionally, a trusted third party (TTP) is needed to provide a trusted way to exchange keys. However, devices in the smart city environment are usually distributed and trustless. A central trusted mechanism is not suitable for many applications in it. The second challenge is that the requirements in the applications of the smart city are diverse. Finally, a practical AKE protocol should be efficient and easy to integrate. To address these challenges, we provide a fully decentralized AKE protocol framework called DAKEs. To the best of our knowledge, DAKEs enjoy the most comprehensive security properties to fulfil diverse requirements. The decentralization of DAKEs is captured by using the blockchain while avoiding the availability problem of other similar blockchain-based schemes. Our test is conducted in a real-world test network of Ethereum. The result shows that DAKEs are efficient and at a low cost.
Research and application of spoken English evaluation system based on biological voiceprint feature recognition

The design of oral English evaluation system based on biological voiceprint feature recognition technology can deal with the shortcomings of speech teaching in traditional computer-aided technology, and can improve the learning interest and learning effect of oral English learners. This time, MFCC method is selected to construct the evaluation model of oral English, which can achieve good speech recognition effect. Through hierarchical recognition strategy, the algorithm mechanism of oral English is further optimised. Through simulation analysis, it can be seen that the proposed system design can objectively reflect the actual oral English level of oral English evaluators, and has good application effect and practical value.
Adaptive steganographic scheme using a variable matrix embedding

Steganography is the art of concealing secret information within digital media. In this paper, an adaptive steganographic scheme based on Faber-Schauder discrete wavelet transform (DWT) is proposed. Data is hidden in the details coefficients, which are divided into smooth and complex areas. In the smooth area, we hide one bit in every coefficient via a variable matrix embedding that hides 2n bits of data into 2n+1 coefficients while modifying at most n coefficients. In the complex area, data is hidden by substituting the least significant bits (LSBs) of the coefficients, and the optimal pixel adjustment procedure (OPAP) is utilised to minimise the modification. The performance is tested through experiments and comparison to literature. We obtain a good imperceptibility and embedding rate that respect the complexity of the cover image. We also reach a high level of security by using a correcting procedure that preserves the histogram in the smooth area.
Improved SORT for vehicles tracking in satellite videos

Multi-object tracking in satellite videos has been widely used in civilian and military fields. Among them, the tracking of vehicles has important applications in the field of traffic monitoring. However, the tracking of vehicles in satellite videos still remains challenging and unsolved due to the extremely small size and the lack of appearance and geometric features. In this paper, we propose an improved SORT to tackle the tracking of vehicles in satellite videos by introducing C3D to CenterNet to improve the detection performance and promote the overall tracking performance. Specifically, we use C3D as the backbone of CenterNet to extract spatio-temporal information and use a 3D channel attention mechanism to fuse the information extracted by C3D to improve the detection performance, thereby improving the tracking results. The qualitative and quantitative results of experiments on videos of Jilin-1 satellite constellation show that our method can efficiently improve the tracking performance of vehicles in satellite videos.
Faults System Analysis of the West Junggar Region Based on Remote Sensing

Quantitative analysis of linear tectonics can reflect the spatial spreading, activity intensity, relative magnitude, and directional source of stress of tectonics, and thus reveal the tectonic evolution characteristics. This study conducted the quantitative analysis of fault systems based on GIS and RS using geostatistical methods on the West Junggar region of Xinjiang, China. The results show that: 1. the distribution of slope direction is consistent with the distribution of major faults, and the correlation between the direction of linear tectonics and slope greater than 16&#x00B0; is large; the proportion of NE direction in the slope direction map is the largest at 13.13&#x0025;. 2. the main fault direction is N50&#x00B0;&#x007E;60&#x00B0;E; the direction with the largest number of faults is 70&#x00B0;&#x007E;90&#x00B0;. 3. the linear structure of the study area has a 32km~2km range with Good self-similarity and fractal characteristics. The fractal dimension of the whole area is D=1.6068 and R<sup>2</sup>=0.9985, and the fractal dimension of the linear structure in different directions and different subdivisions is above 1.3, and the correlation coefficient R<sup>2</sup> is above 0.99. The linear structure of the study area has good self-similarity and fractal characteristics. This study provides an effective method for macroscopic analysis of the spatial distribution of the structure.
Research on ocean observation data transmission based on blockchain technology

Aiming at the problems of low transmission efficiency, data inconsistency, and data security in the current ocean observation data transmission process, a blockchain-based ocean observation data transmission governance method is proposed. The blockchain is distributed storage and asymmetric encryption, traceability, anti-tampering, consensus mechanism and other characteristics are applied to the construction of data transmission standards, the control of data transmission process, and the guarantee of data security. Starting from the data transmission requirements and blockchain characteristics, this paper proposes a blockchain-based ocean observation data transmission model to build a safe, reliable, efficient and controllable data transmission system. Experiments and analysis show that this method has a significant improvement in transmission efficiency and data consistency compared to the traditional point-to-point transmission method, especially in long-chain data transmission. This method has a good application demonstration effect for the construction of a new generation of ocean observation data transmission system, and provides a reference idea.
Research on geospatial data visualization based on GIS and reverse proxy

Based on the practical work, this paper discusses the current visualization techniques of geospatial data. Based on the traditional method of publishing geospatial data service by GIS server, when the data service has been published, it is not convenient to change the layer organization structure of the current data service. When the layer combination structure of geospatial data service needs to be changed, it can only re-publish the new data service. When a large number of data services are published, the server occupies a large amount of memory resources and deteriorates the server performance. This paper proposes a visualization method of geospatial data based on GIS and reverse proxy. When the data service has been published, it can flexibly conFigure the layer structure of the data service according to the actual work needs. By means of computer reverse proxy technology, the security of geospatial data sharing is improved, and the problem of GIS server performance degradation caused by re-release of data service is avoided.
Trend and Indices Analysis of Temperature and Precipitation in Order to Find the Impact of Climate Change in Metu District, Southwestern Ethiopia

Climate change is one of the greatest challenges faced by humankind as it poses an existential threat to many aspects of the current social-ecological landscape of natural and human systems.A set of temperature data for trend and compound indices derived using daily resolution climatic time series data was examined to assess climate change from 1982 to 2019 used for trend and indices analysis.This study was undertaken to analyze temperature trend and precipitation indices in Metu, southwestern of Ethiopia.The study employed Mann-Kendall's test to detect change in temperature trends and R-limdex for analyze the trend of temperature and precipitation indices.Results for temperature trend analysis for Metu district indicated significant increasing trends at 1%; overall, the observed trends were statistically significant at 1% and 5%.On the other hand, the distribution of the annual precipitation index trends indicated that the negative and positive significant trends mainly occurred in the study area.In terms of temperature indices, all stations have shown consistent patterns for every extreme temperature index.Increasing annual trend magnitudes in six temperature indices (i.e., warm nights, Max.Tmin, Min.Tmax and Max Tmax.The study suggests strategies to enhance the adaptive capacity of agricultural systems and to reduce the likelihood of production risks.
FUTURE FINE ARTS TEACHERS’ PROFESSIONALISM FORMATION IN THE DEPARTMENT CULTURAL AND EDUCATIONAL SPACE

The article defines and characterizes the pedagogical conditions for the future fine arts teachers’ professionalism formation in cultural and educational space of the department. These conditions are the following: compliance of lecturers’ basic education with department profile; organization lecturers’ artistic and creative activity and the process of motivating students to perform the above-mentioned activity; lecturers’ scientific activity and involvement of students in research and innovation activities. It is proved that teaching, scientific and artistic activity of the lecturers of the Department of Fine Arts of Poltava V. G. Korolenko National Pedagogical University is the basis of the department cultural and educational space. It is carried out at the level of modern higher education and allows carrying out professional training of specialists in the educational-professional program ‘Secondary Education (Fine Arts).
Loanwords

The Hausa lexicon has been inundated by loanwords, primarily from Arabic and English but also from Kanuri, Tuareg, Fulani and, more recently, Yoruba. Gender assignment has been based both on phonological patterning, mainly the association of final /a/ with feminine gender, and on semantic patterning with prior words. Phonology has been modified primarily by greater incidence and usage of glottal stop and /h/, increased incidence of the rolled R, introduction of numerous word-final consonants, retention of /e/ and /o/ in closed syllables, the incorporation of new nouns with short final vowels, and the introduction of nouns with a final Low-Low tone pattern.
Mapping Data Flow Advanced Topics

This is the final chapter in Part II of this book where we are focusing on scalable ETL jobs with Mapping Data Flows. As opposed to the previous chapters in this section, where we used sample scenarios to describe data flow functionality, in this chapter, we’re going to dive deep into three advanced topics on their own with new examples. These are all important topics that you will likely come across when processing massive amounts of data contained in data lakes in the cloud.
In three steps to software product lines

In the automotive industry, suppliers aim to increase their revenue and try to keep up with the pace of the market trends to stay competitive by offering off-the-shelf products to car manufacturers. On the other hand those car manufacturers request tailored products to gain unique selling points. Each new customer request may result in a new software project. To save time one might find it a good idea to create the new software project as a copy of an older one. This method guarantees initial functionality, but prevents refactoring and leads to continuous software erosion. The implementations diverge from each other and improvements cannot be shared. Software Product Lines (SPL) can help to maximize reusability and quality by building up shared core assets and customer-specific functionality. In our paper, we propose a method to migrate a customer project landscape into a scalable SPL in three steps.
Comparison of Legal Systems for Data Portability in the EU, the US and Japan and the Direction of Legislation in Japan

The General Data Protection Regulation (GDPR) is legislation for the protection of personal data that applies in the EU. Article 20 of the GDPR stipulates the Right to data portability as one of the rights of data subjects. The monopoly on data held by digital platforms, such as GAFA (Google, Amazon, Facebook, Apple), is becoming a significant issue, and in this context, there is a need for the right to data portability in terms of not only the right of data subjects to reclaim their personal data but also promoting competition among businesses. The California Consumer Privacy Act (CCPA) of 2018 is the first comprehensive legislation for the protection of personal data in the US, albeit at the state level, with provisions similar to the EU GDPR; the CCPA establishes the Right of access and portability in Section 1798.100 as one of the rights of consumers. The California Privacy Rights Act (CPRA), passed in 2021, amends the CCPA to further strengthen the rights stipulated therein. The Bill of the Consumer Online Privacy Rights Act of 2019 (CORPA) was introduced in the Congress in 2019 and may become the first comprehensive legislation for the protection of personal information in the US at the state level. In recent years, in addition to the GDPR in the EU and the CCPA, the CPRA and the CORPA in the US, provisions relating to the obligation of data portability from the perspective of policy on competition are also included in the new Digital Markets Act (DMA) proposed in the EU and the (federal-level) ACCESS proposed in the US. This study compares the legal systems of the EU, the US and Japan with regard to data portability and shows the direction of legislation in Japan.
Automatic Generation of Comments Based on Code Structure Enhancements

Code comments play a significant role in software maintenance as they can greatly improve the efficiency of software developers' program understanding and reduce maintenance costs. However, due to the bad programming habits of developers and tight project development time, the annotations of many projects are incomplete. Studies have shown that project maintainers spend almost half of their time on understanding programs. Accordingly, this paper proposes a dual-encoder-based deep learning method code structure-enhanced comment generation (CSE-GC) to automatically generate annotation texts for Java methods. CSE-GC uses the CSE traversal method to traverse the abstract syntax tree of the Java method; input the structure information obtained by the traversal and vocabulary information of the source code into the gate recurrent unit encoder and convolutional neural network encoder, respectively; and use the attention mechanism to guide the decoder to generate annotations. This study obtained 131,823 Java methods as the training set data to train the model. The final METEOR value on the test set is 30.95%, and the BLEU-4 value is 45.01%. The results demonstrate that the method proposed in this paper has better performance compared to state-of-the-art models.
Correction

This article refers to:Using Variable Dwell Time to Accelerate Gaze-Based Web Browsing with Two-Step Selection
Semantic mapping technique: development of advertising content

The paper considers author’s technique named Semantic Mapping intended for the development of advertising content. The technique was developed using interdisciplinary approach - neuromarketing, swarm intelligence, sensory, behavioral and experiential marketing focusing on imaginative thinking and emotional reactions of consumers essential in advertising content. This allows to create viral content based on creative decisions interesting to the audience and applicable to omnichannel communication. Advertising content is created in three stages: determining the limitations of advertising effectiveness, formulating the key idea (content), creating and testing the advertising. The Semantic Mapping technique can be used in marketing activities of various companies, including small businesses, and is notable for its low labor intensity and low budget.
How to improve the quality of accounting information system in digital era (an empirical study of state-owned enterprises in Indonesia)

The competitive advantage of a company is supported by good management decision making, one of which is by having quality accounting information from the implementation of quality Accounting Information System (AIS). In this study, the effectiveness of Information Technology (IT) governance, knowledge management processes and information system control are factors that give an impact on the quality of AIS in generating accounting information. The purpose of this study is to analyze the positive impact of the effectiveness of Information Technology governance on the quality of AIS, the positive impact of the knowledge management process on the quality of AIS, the positive impact of information system control on the quality of information systems as well as the positive impact of the quality of AIS on the QAI. To measure all the variables, the researcher conducted an empirical test on 100 stated-owned enterprises (SOEs) in Indonesia with a questionnaire return rate of 345 respondents. The results of the study indicate that the effectiveness of Information Technology governance, knowledge management processes as well as information system control have a direct positive impact on the quality of information system, where the information system control has a strong impact on the quality of information systems. Moreover, the quality of AIS has a positive and strong impact on the Quality of Accounting Information (QAI).
Forensics on a Mobile Device, Tools and Limitations

In modern days, individuals are deeply attached to their mobile devices.Like many other benign tools, mobile devices are often used for criminal purposes.Such devices can be confiscated at the crime scene, or at a later point in time.Then it's typically examined by forensics expert to extract and retrieve usable information.While technically a mobile phone is a computer by definition, performing forensic examination is quite challenging from a typical desktop or laptop computer systems.In this paper, we explore such challenges, discuss limitations and speculate what the future might be.
Inspiring capsule wardrobe practices using illustrated design fictions and role-playing

opinion Share on Inspiring capsule wardrobe practices using illustrated design fictions and role-playing Authors: Zaiqiao Ye Indiana University Bloomington Indiana University BloomingtonView Profile , Zitao Zhang Indiana University Bloomington Indiana University BloomingtonView Profile , Eli Blevis Indiana University Bloomington Indiana University BloomingtonView Profile Authors Info & Claims InteractionsVolume 29Issue 5September - October 2022 pp 16–19https://doi.org/10.1145/3555690Published:30 August 2022Publication History 0citation1,194DownloadsMetricsTotal Citations0Total Downloads1,194Last 12 Months1,194Last 6 weeks1,098 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Speech is human and multifaceted

The Interactions website (interactions.acm.org) hosts a stable of bloggers who share insights and observations on HCI, often challenging current practices. Each issue we'll publish selected posts from some of the leading and emerging voices in the field.
The Future’s Most Advanced Computing Tool: Quantum Computers

Quantum computing has become a hot topic in recent years.The device that used for quantum computing is Quantum computer.Quantum computers are machines that use the properties of quantum physics to store data and perform computations.This can be extremely advantageous for certain tasks where they could vastly outperform even our best supercomputers. Classical computers, which include smartphones and laptops, encode information in binary "bits" that can either be 0s or 1s. In a quantum computer, the basic unit of memory is a quantum bit or qubit. There has been some successful development of quantum computer technology, but a great deal of research and development remains to be done before quantum computers become viable as a mainstream technology, and there are arguments as to why this eventuality can never be achieved. The proposed research is focused on Cyber security-Will quantumComputing break the Cyber security?
Sparse Dictionary-Based Magnetic Resonance Superresolution Imaging with Joint Loss Function Learning

Magnetic resonance image has important application value in disease diagnosis. Due to the particularity of its imaging mechanism, the resolution of hardware imaging needs to be improved by increasing radiation intensity and radiation time. Excess radiation can cause the body to overheat and, in severe cases, inactivate the protein. This problem is expected to be solved by the image superresolution method based on joint dictionary learning, which has good superresolution performance. In the process of dictionary learning, the loss function will directly affect the dictionary performance. The general method only uses the cascade error as the optimization function in dictionary training, and the method does not consider the individual reconstruction error of high- and low-resolution image dictionary. In order to solve the above problem, In this paper, the loss function of dictionary learning is optimized. While ensuring that the coefficients are sufficiently sparse, the high- and low-resolution dictionaries are trained separately to reduce the error generated by the joint high- and low-resolution dictionary block pair and increase the high-resolution reconstruction error. Experiments on neck and ankle MR images show that the proposed algorithm has better superresolution reconstruction performance on ×2 and ×4 compared with bicubic interpolation, nearest neighbor, and original dictionary learning algorithms.