Reviewerly/exHarmony huggingface dataset:
A unified framework for automated person re-indentification

Along with the strong development of camera networks, a video analysis system has been become more and more popular and has been applied in various practical applications. In this paper, we focus on person re-identification (person ReID) task that is a crucial step of video analysis systems. The purpose of person ReID is to associate multiple images of a given person when moving in a non-overlapping camera network. Many efforts have been made to person ReID. However, most of studies on person ReID only deal with well-alignment bounding boxes which are detected manually and considered as the perfect inputs for person ReID. In fact, when building a fully automated person ReID system the quality of the two previous steps that are person detection and tracking may have a strong effect on the person ReID performance. The contribution of this paper are two-folds. First, a unified framework for person ReID based on deep learning models is proposed. In this framework, the coupling of a deep neural network for person detection and a deep-learning-based tracking method is used. Besides, features extracted from an improved ResNet architecture are proposed for person representation to achieve a higher ReID accuracy. Second, our self-built dataset is introduced and employed for evaluation of all three steps in the fully automated person ReID framework.
The Prospects and Risks Connected with Increasing the Level of Self-Organisation in Students

The paper describes the method for increasing the level of self-organisation in students which has been developed by the author. It also contains the method testing results and presents the prospects and risks teachers could face while applying the method in a higher education institution. The purpose of this study is to find out the prospects and risks of applying the method for increasing the level of self-organisation in students and to determine the ways of reducing the risks. Methodology. The author points out the learning approaches which were the basis of developing the method and describes diagnostic methods for determining students’ self-organisation levels. The work focused on increasing each student’s initial level consists of a theoretical and a practical part and includes project activities on creating a study guide. The results of the study. The method developed proved to be effective. It was established by diagnosing the final level of self-organisation in students in the experimental and control groups. The paper considers the advantages of the method among which there is universal character, flexibility, improvements to teacher’s and students’ professional competence, etc. At the same time it is necessary to be aware of the risks due to the increased amount of teacher’s work and the fact that students’ work within the project tends to be monotonous. In conclusion, the prospects of the method for increasing the level of self-organisation in students are related to its advantages and the final results of the work. The risks of its use can be reduced with the help of the measures proposed in the paper.
Gabor-enhanced histogram of oriented gradients for human presence detection applied in aerial monitoring

In UAV-based human detection, the extraction and selection of the feature vector are one of the critical tasks to ensure the optimal performance of the detection system. Although UAV cameras capture high-resolution images, human figures' relative size renders persons at very low resolution and contrast. Feature descriptors that can adequately discriminate between local symmetrical patterns in a low-contrast image may improve a human figures' detection in vegetative environments. Such a descriptor is proposed and presented in this paper. Initially, the acquired images are fed to a digital processor in a ground station where the human detection algorithm is performed. Part of the human detection algorithm is the GeHOG feature extraction, where a bank of Gabor filters is used to generate textured images from the original. The local energy for each cell of the Gabor images is calculated to identify the dominant orientations. The bins of conventional HOG are enhanced based on the dominant orientation index and the accumulated local energy in Gabor images. To measure the performance of the proposed features, Gabor-enhanced HOG (GeHOG) and other two recent improvements to HOG, Histogram of Edge Oriented Gradients (HEOG) and Improved HOG (ImHOG), are used for human detection on INRIA dataset and a custom dataset of farmers working in fields captured via unmanned aerial vehicle. The proposed feature descriptor significantly improved human detection and performed better than recent improvements in conventional HOG. Using GeHOG improved the precision of human detection to 98.23% in the INRIA dataset. The proposed feature can significantly improve human detection applied in surveillance systems, especially in vegetative environments.
Effect of web based employee suggestion system software application on system performance: MMK Metalurji case

Over the last 10 years Employee suggestion systems (ESS) have been extensively used by industrial companies all over the world to improve their operations/business processes in. ESS increases workers’ sense of belonging and confidence, cost saving, product quality, process efficiency, new revenue, workplace safety, etc. The success of ESS depends on individual attributes of employees, organizational factors and system features like administration quality, publicity, rewarding policy, feedback and evaluation philosophy, ESS structure and many others., MMK Metalurji ve Liman Isletmeleri A.S. (iron and steel producing company), started using an ESS based on suggestion boxes checked by anevaluation group in 2015 and revised its ESS to be based on a software application and a single expert evaluation in the beginning of 2018. The revised procedure also changed some system features. This study compares and discusses the performance of the previously and currently used ESS systems, focusing on the web-based software usage effect and improved system features benefiting the company. According to the collected data, the usage of the revised web-based ESS software has contributed to the drastic increase in the number of received suggestions (45 times exceeding the amount of suggestions collected using suggestion boxes; at that, the suggestions’ review and application time was decreased, the suggestion flow speed accelerated and the ESS accessibility, publicity, feedback speed etc. was improved.
Multimodal corpus EVA 1.0

EVA Corpus 1.0 consists of one episode of an audio/video session plus corresponding orthographic transcriptions with a duration of 57 minutes. The multi-party spontaneous discourse in the recording is from an entertaining evening TV-talk show A si ti tut not padu, broadcasted by the POP-TV Slovene commercial TV station in 2008, and represents a part of the Slovene spoken corpus GOS (http://hdl.handle.net/11356/1040). The show contains casual conversation about general, informal and personal aspects of interviewee's life. The transcribed session of this recording has been annotated using ELAN 4.9.4. In addition to the original transcription and morphosyntactic annotation from the GOS corpus, the following layers of information are added: - statement sentiment- phrase breaks within statements- prominence of statements- sentences within the statement- sentence sentiment- sentence type- speaker visibility on the scene- gesture units- gesture phrases- emotions- semiotic intent- dialogue role
AI-based scalable breast cancer screening solution in resource-constrained settings

Cancer of the breast is the most common cause of cancer-related deaths in India. Detecting breast cancer at early stages is critical for providing early treatment and thereby reducing disease morbidity and mortality. Mammography is the only screening method proved by randomized trials to reduce breast cancer mortality. However, it is less sensitive in women with dense breasts, and hence, its usage is limited in Asian countries where breast cancer is being increasingly detected in younger pre-menopausal women. Moreover, in India, where breast cancer screening is recommended at district hospitals (DHs), there are just 55 mammography machines at Government DHs to cater to 763 districts. Apart from increasing screening uptake at DHs, it is also necessary to make screening accessible at community health centres (CHCs). In a resource constrained setting, the cost of the equipment and high-skill requirement for interpretations makes mammography less affordable and feasible as a routine screening method. The more affordable clinical breast examination suffers from inconsistent results and late detection.Niramai’s Thermalytix™ is an AI-based solution that has demonstrated high sensitivity for screening breast cancers. This automated test is affordable, accessible, scalable for population-level screening and has already been used to screen over 30,000 women. However, loss to follow-up and risk perception in the asymptomatic population remains a barrier for large-scale screening programmes. This can be addressed by taking a  holistic approach and combining screening of the top three cancers: breast, cervical, and oral cancers, along with other major non-communicable diseases such as cardio-vascular disease, stroke, and diabetes at the CHC level.
EXPLORING THE ENGLISH SPEAKING DIFFICULTIES FACED BY CADETS AT BAROMBONG MARINE POLYTECHNIC

This paper reports the English speaking difficulties faced by cadets with the following research questions: 1) what are the English speaking difficulties and 2) what are the factors causing English speaking difficulties. The research was conducted at Barombong Marine Polytechnic. There were 3 cadets of the nautical department and 3 cadets of technical department in the second semester in the academic year 2020 as the subjects in this research. The researcher used class observation and interviews to collect the data. The result found there were two kinds of the English speaking difficulties, namely linguistic and nonlinguistic aspects. The linguistic aspects (lack of vocabulary, incorrect pronunciation, and lack of grammatical knowledge). While, nonlinguistic aspects or psychology aspects (anxiety, lack of confidence, lack of motivation, fear of making mistake). They were categories as internal factors (anxiety, lack of confidence, lack of motivation, fear of making mistake) and external factors (environmental factors and ineffective teaching strategy).
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning

We establish a general form of explicit, input-dependent, measure-valued warpings for learning nonstationary kernels. While stationary kernels are ubiquitous and simple to use, they struggle to adapt to functions that vary in smoothness with respect to the input. The proposed learning algorithm warps inputs as conditional Gaussian measures that control the smoothness of a standard stationary kernel. This construction allows us to capture non-stationary patterns in the data and provides intuitive inductive bias. The resulting method is based on sparse spectrum Gaussian processes, enabling closed-form solutions, and is extensible to a stacked construction to capture more complex patterns. The method is extensively validated alongside related algorithms on synthetic and real world datasets. We demonstrate a remarkable efficiency in the number of parameters of the warping functions in learning problems with both small and large data regimes.
Efesiensi Fisik Komputer Server dengan Menerapkan Proxmox Virtual Environment

Along with the development of desktop and non desktop application software, the provision of services to accommodate requests from client computers is increasing too, which can be seen in terms of usage environment whether in local or public network coverage. for example an information system program created using the Microsoft visual studio.Net application by using database access, the server computer even though it uses a Windows operating system, and vice versa if the information system program that is built using a web programming language (opensource) is mostly among programmers choosing to use a web server with linux operating system. To do this, the network manager creates a solution so that the information system that is built from any programming language can be run on one physical computer server with a virtualization system by applying the Proxmox virtual environment as a virtual machine container that will accommodate several types of operating systems.
The Design Implementation Framework: Guiding Principles for the Redesign of a Reading Comprehension Intelligent Tutoring System

The Design Implementation Framework, or DIF, is a design approach that evaluates learner and user experience at multiple points in the development of intelligent tutoring systems. In this chapter, we explore how DIF was used to make system modifications to iSTART, a game-based intelligent tutoring system for reading comprehension. Using DIF as a guide, we conducted internal testing, focus groups, and usability walk-throughs to develop iSTART-3, the latest iteration of iSTART. In addition to these evaluations, DIF highlights the need for experimental evaluation. With this in mind, we describe an experimental evaluation of iSTART-3 as compared to its predecessor, iSTART-ME2. Analyses revealed an interesting tension between system usability and user preference that has important implications for instructional designers.
Collaboration in Git

As with many other things, software development is not fun until we do it together with other people. Unfortunately, most software developers are not introduced to Git in a healthy setting. Either they are experiencing Git for the setting in a classroom where the professor has understood that Git is important and that someone should be teaching it to the students, but it is simply a footnote in a much larger curriculum. Or they are introduced to workflows and collaboration in Git in some organization that are more concerned with doing things according to the described process than in a meaningful way. This chapter will hopefully get you back on track and enable you to select a Git workflow and work efficiently with colleagues.
Fast Stereo Depth Estimation in Smartphone Devices with Narrow Baseline

With an expanding market of mobile devices consisting of dual camera configuration, depth estimation has become a core technology for various camera applications. However, due to the constraints imposed by camera configurations and relatively lower computational capabilities of mobile devices, state of the art methods, do not fare well on embedded devices. In this work, we address the challenges in designing a fast depth estimation method for asymmetric dual camera, with narrow baseline and limited computing power on a smartphone device. We propose a novel approach to efficiently compute accurate matching cost volume using sub-pixel steps. Additionally, a modified Semi Global Matching cost optimization and confidence measure based on binary edge maps are used for dense depth map estimation. To validate the proposed method, we use a dataset consisting of 600 stereo image pairs captured using two smart phones with dual cameras. The proposed method demonstrates significant visual improvements in areas involving repeating patterns, smooth regions and complex object boundaries compared to prior methods.
Visions, Values, and Videos: Revisiting Envisionings in Service of UbiComp Design for the Home

UbiComp has been envisioned to bring about a future dominated by calm computing technologies making our everyday lives ever more convenient. Yet the same vision has also attracted criticism for encouraging a solitary and passive lifestyle. The aim of this paper is to explore and elaborate these tensions further by examining the human values surrounding future domestic UbiComp solutions. Drawing on envisioning and contravisioning, we probe members of the public (N=28) through the presentation and focus group discussion of two contrasting animated video scenarios, where one is inspired by 'calm' and the other by 'engaging' visions of future UbiComp technology. By analysing the reasoning of our participants, we identify and elaborate a number of relevant values involved in balancing the two perspectives. In conclusion, we articulate practically applicable takeaways in the form of a set of key design questions and challenges.
ECG Health Monitoring System Using ARDUINO

“Health is wealth” it is very famous proverb. The cost of medical checkup is very high and time taking, due to this people are attracted towards the instruments which are of low cost, high accuracy and instant result provider. Wearable health monitoring system is playing very significant role in getting accurate and very instant result. Proposed system works at 5 volt. It Includes AD8232 pulse sensor that measures ECG signal and it is displayed over the laptop. Heart beats is measured and send directly to android application wirelessly where user can check his health. Using this system user’s body temperature is also recorded and based on ECG signal and body temperature critical condition can be guessed. Keywords: ECG, AD8232, HC-05, Arduino Uno
Animasi 3d Digital Pengenalan Hewan Berdasarkan Ekologis Makanan Berbasis Virtual Reality

At this time introduction of animals based on food ecological for elementary school is only by learning process that still uses learning media is textbooks and whiteboards. The use of this media makes students feel bored and are less interested in animal introduction based on food The purpose of this research is to make digital 3d animation based virtual reality of animal introduction based on foods ecological. Virtual Reality is a media for creating a virtual world for the introduction of animal groupings based on food ecology, virtual world is a computer-based simulation environment where 3D objects will be placed and simulated in the virtual world. 3D animation will simulate objects in the form of animals that will be animated in the virtual world to make students feel interested in using Virtual Reality as a tool to study animals based on food
Новые формы высшего образования с использованием современных онлайн-технологии

The University is regarded as a special social institution fulfilling a number of important social task: the production and broadcasting of knowledge and scientific picture of the world; reproduction and development of human capital; socialisation of the young generation; providing the economy with personnel qualifications, etc. and in various cultural and historical periods of the functions of the University have a distinctive focus, for example, for industrial companies is training and qualified individuals for the postindustrial society - the notion of «human capital». Education has changed dramatically in recent decades. Now the learning process is very difficult to imagine without the Internet. The main purpose of mass open online courses is to provide students with direct access to educational materials without the need to enter an educational institution. As you know, education is an important social process, so it should be as accessible to everyone as possible. Mass open online courses, implemented with the participation of the world S leading universities, are developing dynamically on a global scale, expanding access to education and lifelong learning for people from all over the world and having a significant impact on the modern higher education system. The study of the courses is of a recommendatory nature, can be offered for independent study, without requirements for monitoring the results. The article discusses the pros and cons of online education, the problems of entering the Russian educational market.
Opinion Mining for the Customer Feedback using TextBlob

Evolution in the field of web technology has made an enormous amount of data available in the web for the internet users. These internet users give their useful feedback, comments, suggestion or opinion for the available product or service in the web. User generated data are very essential to analyze for business decision making. TextBlob is one of the simple API offered by python library to perform certain natural language processing task. This paper proposed a method for analyzing the opinion of the customer using TextBlob to understand the customer opinion for decision making. This paper, provide a result for aforesaid data using TextBlob API using python. The paper includes advantages of the proposed technique and concludes with the challenges for the marketers when using this technique in their decision-making.
A 3D Classical Object Viewer for Device Compatible Display

The paper presents a 3D Android-based classical object viewer system that improves user experience when viewing 3D datasets. The system is well suited to 3D simulated images and facilitates a more accurate list of images in response to search-based quarries using Android’s SearchView widget. Existing 2D object viewer systems are unable to display the simulated images accurately and older 3D object viewing systems face performance-related challenges. The developed Android system reduces the issues of performance and improves the flexibility in viewing rotation for 3D environments. It also provides better user experience and versatility to 3D object viewers through different paths and channels. The effectiveness of the developed system has been demonstrated using standard datasets.
Древнейшая керамика Восточной Азии: актуальные вопросы исследования (материалы для учебного курса «Керамика как археологический источник»)

Purpose . The article presents a historiographical review of the problems of research of ancient ceramics from archaeological sites of East Asia in the chronological interval from 20,000-18,000 to 9,000 years ago. Results . The subject of discussion is the periodization of monuments with early ceramics, the problems of socio-economic conditions of the emergence of pottery technology, its functional role in ancient societies, reconstruction of technological skills and technical levels of pottery, morphology and decor. There are a lot of controversial issues and “blind spots” in this direction. However, the opening of sites with ancient ceramics in East Asia showed that here, on the Pacific (eastern) outskirts of the Eurasian continent, pottery making technology first appeared about 10,000 years earlier than in the Middle East. The invention of ceramics in this region of the world at the turn of the Pleistocene and Holocene should be considered as a result of a combination of natural and social factors. The example of East Asia shows that the relationship between the appearance of ceramic vessels and the development of agriculture, as a technology for food production, is universally, not a mandatory factor. Conclusion . The article discusses certain regional differences in the formation of skills in making the most ancient ceramic vessels of East Asia. It is assumed that the development of ceramic technology in the Japanese archipelago and in the mainland areas of East Asia took place independently. For the Amur region, there are two local cultural traditions - Osipovskaya and Gromatukhinskaya. According to materials from Northern China, there is a version of the existence of a common line in the development of ancient ceramics in the Valley of the Nonny River. There are similarities between the early ceramics of Northeast China, and the Gromatukhinskaya and Osipovskaya cultures of Amur. For the ceramics of South Korea also note similarities with the materials of the Russian Far East, Japanese and Chinese dishes.