Reviewerly/exHarmony huggingface dataset:
An Unsupervised Approach for Simultaneous Visual Odometry and Single Image Depth Estimation

Visual odometry (VO) and single image depth estimation are critical for robot vision, 3D reconstruction, and camera pose estimation that can be applied to autonomous driving, map building, augmented reality and many other applications. Various supervised learning models have been proposed to train the VO or single image depth estimation framework for each targeted scene to improve the performance recently. However, little effort has been made to learn these separate tasks together without requiring the collection of a significant number of labels. This paper proposes a novel unsupervised learning approach to simultaneously perceive VO and single image depth estimation. In our framework, either of these tasks can benefit from each other through simultaneously learning these two tasks. We correlate these two tasks by enforcing depth consistency between VO and single image depth estimation. Based on the single image depth estimation, we can resolve the most common and challenging scaling issue of monocular VO. Meanwhile, through training from a sequence of images, VO can enhance the single image depth estimation accuracy. The effectiveness of our proposed method is demonstrated through extensive experiments compared with current state-of-the-art methods on the benchmark datasets.
Self-Calibration of Wide Baseline Stereo Camera Systems for Automotive Applications

Many car accidents involving vulnerable road users (e.g., pedestrians or cyclists) occur on rural roads after dark, when the driver’s visibility is restricted. Thus, the main objective of an augmented night vision is to assist the driver, when driving on side roads (e.g., highways, country roads, or rural roads) with poor or restricted visibility by alerting the driver to potential obstacles ahead.
Discussion on the New Path of Computer Curriculum Construction in Higher Vocational Education Institution

Computer teaching focuses on cultivating students' practical operation ability, innovation ability and logical thinking ability.The computer course is composed of many modules, which are interrelated to form a complete computer course.The construction of computer courses in higher vocational colleges should aim at improving teaching quality.It is guided by enhancing students' cognition of the curriculum system and combines computer teaching with various teaching activities and competitions to improve students' abilities as a whole.
Action Study of Long-Distance Running

In the process of 50 freshmen 'middle-distance running technology physical education teaching, including physical education classroom teaching, students' extracurricular exercise, extracurricular exercise and other physical exercise guidance, action research is adopted to explore the effective strategies of physical education teaching and students' independent exercise.The results show that the students 'learning objectives are more clear, their learning enthusiasm for learning and independent physical exercise has been improved, their students' self-monitoring ability for scientific exercise has been improved, and their overall academic performance has been improved significantly.
Establishing a curve equation model based on Fourier transform

We established a curve equation model based on Fourier transform.By establishing the equation and combining with the neural network model, we calculated that the number of layers, material and thickness of each layer and emission spectrum of GaSb battery design multilayer heat emitter under the highest thermoelectric conversion efficiency were 4 layers, and the four layers were GaSb, GA, GA, and Sb, with a thickness of 94.732.
De-risking Salar &amp; Paleosalar Lithium-Brine Rich Targets in the Lithium Triangle Using Satellite Imagery

Summary The salars of the Lithium Triangle in South America contain approximately 55% of the world’s lithium resources. The source, transportation and concentration of the lithium-rich brines involves a complex mineral system that is dependent upon climate, weathering, basin closure, surface drainage, hydrothermal and groundwater systems, lithium-bearing rock distribution and geological structural control. A suite of satellite platforms, geological datasets, advanced data analytics and automated workflows has enabled the delineation and targeting of potential lithium-rich salars and paleosalars buried beneath recent sediments and volcanics.
A Framework for IoT-Enabled Secure Access Using Face-Mask Detection

Smart automation systems play a major role in enhancing secure access functionality under unique constraints such as – human test subjects can be in uniform, wear a face mask, carry a picture ID or for the first time we conjecture that some form of physical verification is indeed a routine for secure recognition besides the features such as a person’s face biometric. In this paper, we propose a framework for smart phone activated secure access which can operate in closed indoor environment such as commercial, hospital, office complex. The mobile apps can advantage through IoT enabled edge server and cloud data services. In this paper we have shown an electronic system that performs mask detection in addition to the face biometrics required for monitoring human movement in a pandemic such as covid-19 or in highly sanitized spaces such as cooking area and clinical facilities. We use teachable machine for detection of face mask and user face. In the proposed solution a physical latch unlocks true positive events for detecting the genuine user’s face and the mask.
A Dynamic Levy Flight Artificial Sheep Algorithm with Random Mutation Strategy and Elite Mutation Strategy

In recent years, more and more swarm intelligence algorithms are proposed and used to solve optimal problems for their better applicability and optimization performance. As swarm intelligence algorithms have been applied in more and more fields, the drawback of swarm intelligence algorithms gradually is found when they are utilized to solve optimal problems. Whether the optimization performance of a swarm intelligence algorithm is excellent or not, it can’t avoid premature or local optimization perfectly. Therefore, employing novel improvement strategies in swarm intelligence algorithms is helpful for promoting optimization performance of swarm intelligence algorithms. A new optimization algorithm named Artificial sheep algorithm (ASA) is used to solve optimal problems in some different fields, and the test results obtained by various benchmark functions being run on ASA could show that Artificial sheep algorithm (ASA) is an excellent optimization algorithm. Despite all this, ASA is possibly trapped into local optimum or premature. To improve optimal performance of ASA effectively, three improvement strategies, which include random mutation strategy, elite mutation strategy and dynamic levy flight strategy, are applied on ASA. To prove that the optimal performance of the improved ASA named NHASA is superior to ASA, different sorts of benchmark functions are run on ASA and NHASA respectively and test results verify the view above. Random mutation strategy, elite mutation strategy and dynamic levy flight strategy, which can be applied on other swarm intelligence algorithms, may promote the optimization ability of other swarm intelligence algorithms.
Enhancing Data Security in Fitness Tracker Using HAN Algorithm

There are some people who are interested in the Internet of things (IoT), which is a cutting-edge technology that people are interested in.People who use the Internet of Things like it because it makes them more aware, sends information reliably, and processes things quickly.People who build things should use small tools that don't have a lot of power.Typical encryption designs are very complicated because they have a lot of different parts.It takes a lot of time to encrypt, which hurts the energy of the devices.Amalgam encryption is a cutting-edge method that can be used in IoT.This type of encryption leads to a lot of surveillance and little data processing.In this work, we have scheduled to use the amalgam encryption approach which has been supervised so as to diminish safety perils and reinforcing encryption's speed and less calculation intricacy in a fitness tracker made for the army people which will track various health aspects of the army personals, encrypt the data using the hybrid algorithm and store it in the cloud whi ch can only be accessed by giving the fingerprint of the registered officers in order to authenticate the user and keep the individual personals data safe.The fundamental idea of the project is to implement an IoT sensor network along with the security aspect of the data being the primary concern.
Valoración de diferentes perfiles de alumnado sobre material multimedia en asignaturas básicas de Ciencias de la Salud

Two of the pillars on which university education is based are the integrated curriculum and transdisciplinarity. The first consists of combining and teaching two or more subjects together, while the second refers to interacting and working as a team with professionals from other areas, to have a 360º vision. This work is the result of a collaboration between teachers from different universities and departments in the area of Health Sciences, who implemented a multimedia material integrating contents of Biology and Physiology, with the aim of promoting the achievement of a more significant knowledge in students.The multimedia material consisted of an explanatory video on the transport through the membrane, which was produced at the Universitat de València (UV) and later implemented at another university with a different student profile, the Universidad Europea de Valencia (UEV). The student assessment surveys showed a good acceptance by this type of student, in the same way that was obtained in the previous study at the UV.This work supports the use of multimedia materials in university teaching to integrate content between subjects. In addition, it motivates teachers to continue making similar materials that can be shared between different institutions so that the work is more effective, useful and productive, and improves the quality of teaching.
Electronic information and educational environment at a technical university

The digitalization of education is the most important global trend in the development of this segment of public life in the modern world. The authors of the article, drawing on a significant array of scientific publications, analyze the main directions of digitalization in the Russian higher education system, highlighting both the strengths and weaknesses of the use of digital tools and information and communication technologies in the educational process. The novelty of this research lies in the analysis of the process of formation and development of one of the most important areas of innovativeness of higher education - the electronic information and educational environment on the example of its functioning at MIREA - Russian Technological University. The authors clarify the definition of an electronic information and educational environment, analyze its regulatory and legal framework, involving in the study local regulations, reports and statistical materials of the educational and methodological department of RTU MIREA. Particular attention is paid to the development of the electronic information and educational environment during the period of restrictive measures due to the spread of the new coronavirus infection.
Container Based Scalability and Performance Analysis of Multitenant SaaS Applications

A multitenant SaaS is a single codebase and run-time customizable application supporting multiple tenants and users. There is a huge demand for multitenant applications as it reduces total cost of ownership for both, service provider as well as consumers. However, Multitenant SaaS applications face fluctuating load problem due to variable tenants and users. Thus, managing resources becomes difficult. Traditionally, to overcome this issue, resources are managed and scaled using monolithic architecture which may lead to underutilization and over utilization of resources in cases of low load and high load respectively. Microservices architecture is a new exemplar for developing cloud SaaS applications as it has several advantages over monolithic. The paper aims to analyze the performance and scalability analysis of multitenant SaaS application using both microservices and monolithic architecture. Utility Booking application is developed for a case study. Scalability analysis is performed, and the performance of application using both approaches is compared using average response time and throughput. Results show that multitenant applications using microservices with large number of concurrent users outperforms monolithic approach and are resource efficient as microservice application scales dynamically based on varying load.
Application of Tin Oxide Nanomaterials in Environmental Photocatalysis

Photocatalytic technology has become a hot technology for environmental pollution control due to its advantages of good stability, high degradation efficiency and no secondary pollution.The application of tin oxide nano materials in environmental photocatalysis is proposed.Acetaldehyde gas was selected to simulate the pollutant, and tin oxide nano materials were used to degrade acetaldehyde concentration in a photocatalytic reactor.The experimental results show that the degradation rate of 95% pure tin oxide nanomaterials in environmental photocatalysis is 88.82%, which indicates that the photocatalytic degradation performance of tin oxide nanomaterials is better.
Modern Chinese Teaching Reform in Colleges and Universities under the Background of Internet +

Modern Chinese in colleges and universities, as a basic course for Chinese language majors, is highly theoretical and practical.Based on the teaching of basic knowledge of modern Chinese, it is of great significance to improve students' Chinese understanding ability and article appreciation ability.The continuous development of the Internet has also brought great influence to modern Chinese.In modern Chinese teaching in colleges and universities, we need to strengthen reform and innovation, optimize teaching content, combine the teaching tools of the new era, and improve the teaching effect, so as to adapt to the trend of the development of the times, cultivate more students with excellent Chinese language literacy, and ensure the position of modern Chinese.
Improving the operations of an IT company's service centre using VK bot development

In this article, the author recommends automating the business task Maintaining a group in Vkontakte of the business process Information and technological support of a small IT company. The problem is that the work bulk is assigned to the business process Information technology support. At the same time, service managers are required to perform such work as writing reports, consulting clients and a group maintaining on Vkontakte. It is for this reason that this business process takes a long time, which significantly reduces economic efficiency. To eliminate the above problems, it was decided to develop a VK bot, which will almost completely replace employees in the social network. This will allow employees to devote more time to their direct work.
Research on recognition of human lying posture based on neural network

As a high-tech intelligent product, the intelligent nursing bed largely meets the needs of the disabled for self-care, and saves a lot of manpower and material resources. In order to improve the safety and reliability of the intelligent nursing bed and ensure the safety of the user, this paper adds the recognition of the human body's lying position as a part of the movement signal of the nursing bed. The Kinect sensor is used to track human bones, record human bone data, and preprocess human bone data. Use the pattern recognition toolbox in Matlab to classify the processed data to realise the recognition of the human body's lying posture. The average recognition rate of the five postures is 98.1%. The results show that the model used in this experiment has a high degree of recognition and can greatly improve the safety and reliability of the intelligent nursing bed.
Impact of organisational culture on project performance with mediating role of knowledge creation process

The present study aims to investigate the impact of organisational culture through consistency and effectiveness culture on project performance directly and indirectly with mediation of socialisation and externalisation in knowledge creation process. In order to investigate the model of study, the data was collected from software development houses (IT sector) in Pakistan. 136 responses were collected and analysed with PLS-SEM to test the hypotheses studied. The results support the positive impact of consistency and effectiveness culture on project-based performance of software development houses and externalisation in knowledge creation process significantly mediates the relationship between organisational culture aspects consistency and effectiveness with project-based performance. This study contributes to organisational knowledge creation theory, assisting process of performance as it is affected by adopting cultural aspects which is underpinned by the knowledge creation process by providing appropriate evidence to the model.
Mathematical model for 3D object reconstruction using OccNet (CNN)

The input 2D image is used by the encoder to first understand the geometrical restrictions in compressed representation. Second, in the straightforward Al method, the latent representation of the input image is acquired during encoding. On the other hand, the suggested OccNet (CNN) technique computes two encoded vectors of mean and standard deviation during the encoding stage from input. The acquired encoded representation is then transformed into a three-dimensional model via the decoding process. The same decoding process is used by both of the suggested solutions. The reconstruction of a complex 3D object with colourful effects from a single 2D shot may also be the subject of future research. Unlike other methods, our representation doesn’t need a lot of memory to encode a description of the 3D output at infinite resolution. We show that our representation effectively encodes three-dimensional structure and can be deduced from a variety of inputs. Our experiments show competitive results for the difficult challenges of 3D reconstruction from single images, noisy point clouds and coarse discrete voxel grids, both qualitatively and numerically.
Research on the Flipped Classroom of Online Open Courses Driving Piano Foundation Courses in Colleges and Universities: A Case Study of Piano MOOC

In recent years, with the rapid development of Internet and new media technology, the undergraduate teaching mode has shown new characteristics such as networking, interactivity, generative and fragmentation.Due to the continuous heating up of "piano fever" in China in recent years, the expansion of the music departments of major music colleges and normal colleges, and the strong demand for piano performance and teaching staff in the society, the traditional one-to-one piano teaching mode can no longer meet the needs of piano teaching in various music colleges, and the basic piano courses came into being.At present, most of the piano courses in colleges are large class teaching, the form of online "MOOC" in the teaching of piano basic courses can not only promote students' independent learning, greatly alleviate the shortage of teachers, but also make an important supplement and expansion of traditional classroom learning.
Artificial intelligence in music production: Controversy and opportunity

Could a robot replace the sound engineer? Recent years have seen the emergence of intelligent systems aimed at algorithmic approaches to autonomous mixing and mastering of audio content. This talk will give an overview of the field, explanations and demonstrations of the technology, and a discussion of the challenges and directions currently being explored. We further discuss the role of artificial intelligence in audio production, and what it means for sound engineering in future.
Indian Text to Speech Systems: A Short Survey

Speech and spoken words have always played a key role in everyday life. Speech synthesis is a means of artificially synthesizing speech, whereas text-to-speech (TTS) is a technology that converts written text in a human language into an analogous spoken waveform [speech form].The written form is represented by the text, a sequence of characters, whereas the verbal form is represented by the speech. TTS synthesizers are computer-based systems that read text out loud. The TTS system is divided into two phases: text processing and speech creation. Despite the availability of several TTS systems in various languages, Indian languages continue to lag behind in terms of producing high-quality speech. Acceptability and intelligibility are used to rate the quality of speech. The main objective of this paper is to perform a study on available text-to-speech technologies in Indian languages.
New Binary Sequences Derived from Euler Quotients Modulo pq and Their Generalizations

Pseudorandom sequences with large linear complexity can resist the linear attack. The trace representation plays an important role in analysis and design of pseudorandom sequences. In this letter, we present the construction of a family of new binary sequences derived from Euler quotients modulo pq, where pq is a product of two primes and p divides q-1. Firstly, the linear complexity of the sequences are investigated. It is proved that the sequences have larger linear complexity and can resist the attack of Berlekamp-Massey algorithm. Then, we give the trace representation of the proposed sequences by determining the corresponding defining pair. Moreover, we generalize the result to the Euler quotients modulo pmqn with m≤n. Results indicate that the generalized sequences still have high linear complexity. We also give the trace representation of the generalized sequences by determining the corresponding defining pair. The result will be helpful for the implementation and the pseudorandom properties analysis of the sequences.
A Differential Privacy Mechanism for Deceiving Cyber Attacks in IoT Networks

Protecting Internet of Things (IoT) network from private data breach is a grand challenge. Data breach may occur when networks’ statistical information is disclosed due to network scanning or data stored on the IoT devices is accessed by attackers because of lack of protection on IoT devices. To protect IoT networks, effective proactive cyber defence technologies (e.g., Moving Target Defence (MTD) and deception) have been proposed. They defend against attacks by dynamically changing attack surface or hiding true network information. However, little work considered the protection of statistical information of IoT network, such as the number of VLANs or the number of devices across VLANs. This type of information may leak the network’s operational information to attackers (e.g., functional information of VLANs). To address this problem, we propose a differential privacy (DP)-based defence method to mitigate its leakage. In this paper, we strategically obfuscate VLANs’ statistical information by integrating DP with MTD and deception technologies. Software-defined networking technology is leveraged to manage data flows among devices and support shuffling-based MTD. Two strategies (random and intelligent) are considered for defence deployment. A greedy algorithm is designed to explore the trade-off between defence cost and privacy protection level. We theoretically prove that the proposed method meets the definition of DP, thus offering solid privacy protection to the operational information of an IoT network. Extensive experimental results further demonstrate that, for a given defence budget, there exists a trade-off between protection level and cost. Moreover, the intelligent deployment strategy is more cost-effective than the random one under the same settings.