Reviewerly/exHarmony huggingface dataset:
Intelligent Surveillance System Using Machine Learning

In today’s era we are facing major security issues; consequently, we need several specially trained personnel to attain the desired security. Development in the field of facial recognition plays an important role in today’s world for crime prevention. Our proposed solution to the aforementioned matter is a surveillance system that has capability of facial recognition, which can detect intruders to restricted or high-security areas found at a specific location under the surveillance of a CCTV camera. Our model is based on image processing concepts to match live images with the existing trained images of the person stored in data set who are allowed in the CCTV camera zone. When a person enters in the zone, a live detection of face using Viola–Jones algorithm initiated by the camera and image processing techniques will be used to analyze and compare with an existing database of trusted people. If the detected face is matched with the trusted faces in the database then it will not take any action but if the detected face doesn’t match with the trusted faces in the database then it will send a message to the registered number of the person who is responsible for that particular zone regarding intrusion and it will also start the burglar alarm attached to the camera module. It will also capture and store the image of the intruder’s face for future use. The proposed technique is coupled with Local Binary Pattern Histogram Model for face recognition and matching of the live detected faces.
A Little Learning

The authors adopt the unsupervised spike-timing-dependent-plasticity (STDP) learning method, such that teaching signals are no longer required.
DEVELOPMENT OF PROTEIN CONCENTRATION DETERMINATION WORKSHEETS USING THE COLORIMETER FREE APPLICATION

This research is motivated by the importance of science process skills in determining protein concentration. Science process skills can be supported by the existence of effective and efficient worksheets and technological contributions. The free ColorMeter application can be used for colorimetric protein analysis. This study aims to describe the appearance of the worksheet and to analyze the results of the validation test. Worksheets are arranged based on indicators of science process skills, namely the skills to ask questions, formulate hypotheses, design experiments, observe, apply concepts, conclude and communicate. The research method used in the preparation of the worksheet is the R&D method. The validation test is carried out using a questionnaire that contains a worksheet display statement. The results of the validation test carried out obtained an average value of rcount of 0.91 with a valid worksheet description and can be used as a practicum guide.
Conveying Reassurance with Confidence and Confirmation

Every dialog depends on shared understanding. It’s as true for two people talking as when one participant is a computer. When you talk to someone, how do you know if you’re being understood or not? By the listener’s responses. They either reassure you that you’re understood or suggest that some correction is needed. When something’s important, you even check that your listener is paying attention by confirming (affirming, saying "yes") that information with your listener. And when you’re the listener, you sometimes want to verify your understanding or show that you’re still listening. When you’re talking to someone on the phone and can’t see each other’s faces and body language, verbal reassurance is even more necessary. This chapter focuses on how to create a VUI that's reassuring and confirms information only when necessary using the best method in each context.
LibGuides: Copyright Guidelines: Home

Learn more about copyright, Creative Commons licenses, and guidelines for using materials in class.
Application of Webgis Distribution Location Puskemas in Labuhanbatu District

The community finding a place for health services is difficult, so a research was conducted in the form of creating a puskesmas map application to assess the puskesmas in Labuhanbatu Regency. Since this research has gone well, Labuhan Regency people can know the information and help them find health centers faster after this webgis is installed. Study of the life cycle of system development using SDLC (Systems Development Life Cycle) using UML to design spatial information systems to help solve problems. This will help the public to locate the nearest health center.
Pengembangan Media Ajar Berbasis Multimedia Di SMA Negeri 1 Talawi

Community service activities titled Multimedia-Based Teaching Media Development in the State High School 1 Talawi which aims to provide knowledge to all teachers in the Talawi 1 High School environment. The method used in this activity is to conduct workshops in creating and developing teaching media using power point applications. During the activity all the teachers are guided in making each other's teaching materials in accordance with the subjects held in the Talawi 1 High School environment. The final result of this dedication is that all teachers can create and develop computerized based teaching materials by using power point applications.
Emoticon and Sticker Interference Expressed in WhatsApp Group Interaction

This study focuses on analyzing phenomena of emoticon and sticker existing to represent the facial expression which must be involved in face to face communication in order to succeed the message convey. This study is supposed to be able to know deeply how the analysis of emoticon and sticker used in messaging via WhatsApp is. The method applied in this study was qualitative research design. The data were acquired from the text of “put respek on G’s” WhatsApp group and “e-house toefl discussion”. The research finding is about the existence of implicit meaning tried to transfer by the users, however the implicit meaning is well-understood in order the receivers understand well about the meaning of the communication. All of the samples are able to reveal the implicit meaning involved in emoticon and sticker in WhatsApp text, therefore, it minimizes the misunderstanding of a communication. The data showed that the gender of emoticon and sticker users is both masculine and feminine. The emoticon and sticker use is also able to enrich the language features. Moreover, the option of the emoticon and sticker is in big number so that it can facilitate the users to choose which emoticon and sticker they want to use.
How safe is the information in this Digital era? â€“A critical review of the status quo

In the Digital World cyber-attack has become a routine activity, and prudence lies in how to manage this without losing focus on prime business activities.On one side technologies and competition is atempting business to try new things to develop effectiveness on the other side data is becoming a threat at various levels.Threat perception has really created stress on systems, and considerable investment is forced to make on IT infrastructure and policy making.In this system whole system is strong in terms of operations and fragile in terms of maintaining the sanctity of the data.
Data Assimilation Enhancements to Air Force Weather's Land Information System

The United States Air Force (USAF) has a proud and storied tradition of enabling significant advancements in the area of characterizing and modeling land state information. 557th Weather Wing (557 WW; DoD’s Executive Agent for Land Information) provides routine geospatial intelligence information to warfighters, planners, and decision makers at all echelons and services of the U.S. military, government and intelligence community. 557 WW and its predecessors have been home to the DoD’s only operational regional and global land data analysis systems since January 1958. As a trusted partner since 2005, Air Force Weather (AFW) has relied on the Hydrological Sciences Laboratory at NASA/GSFC to lead the interagency scientific collaboration known as the Land Information System (LIS). LIS is an advanced software framework for high performance land surface modeling and data assimilation of geospatial intelligence (GEOINT) information.
Penerapan Metode Electre Untuk Penilaian Kinerja Kepegawaian Pada Dinas Kependudukan Dan Pencatatan Sipil Kabupaten Pemalang

Assessment of employee performance is expected to know precisely the success in completing work. Employee performance appraisal is also useful for companies in providing feedback to employees and can be used as a basis for agencies to evaluate employee performance. Most government services currently utilize information technology as an information service to the public and the agency's internal services. In institutions, it is necessary to increase and develop the capabilities, knowledge and skills of its human resources, so that it is expected to be able to produce apparatuses that have competitive  competencies. Therefore, the authors designed and built an employee performance appraisal system which was implemented using Electre and Web-based and Android methods. It is expected to be able to assist agencies in evaluating employee performance so that they can remain consistent in carrying out their duties as Civil Servants (PNS) within the scope of services to the community. This research uses the R&D method. researchers only use up to step 6. Based on the results of trials of 10 respondents who have assessed the decision making system using the electre method, that the application of employee performance appraisal using aggregate ranking can help provide information on the level of employee performance based on predetermined criteria. Respondents agree that this system is more efficient in assessing employee performance with an average of the old system = 43.50% while the new system is = 84.50%.Keywords: Decision Support System, Electre Method, Employee Performance Assessment, Civil Service and Civil Registry, Pemalang District.
Моделирование и исследование основных параметров в процессе распространения соле-пылевых частиц в атмосфере

For monitoring and predicting the ecological state of industrial regions and for protection against technogenic factors, a mathematical model has been developed that considers changes in weather and climate factors, soil erosion, and parameters associated with them. Since one of the main factors affecting the change in the concentration of harmful substances in the atmosphere of the Aral Sea region is aerosol salt and dust particles, it is necessary to take into account their physical and mechanical properties and determine the main forces affecting the object during mathematical modeling and conducting a comprehensive study of the transport process of these particles. In the article numerical calculations were carried out in order to study the process of soil erosion, depending on the speed of the air mass of the atmosphere, the size and density of particles, as well as the forces affecting them. An analysis of numerical calculations showed that the main driving force of wind soil erosion is the vortex lifting force. Which is more than the tangential stress and the atmosphere density, but does not play a big role in changing the lifting force of particles, it will grow exponentially depending on changes in the speed of the air mass of the atmosphere.
Mobile And Cloud Computing Based It Strategic Planning (Case Study: Primeone School Medan)

PrimeOne is one of the national school in Medan which has used IT application in its operational, however the IT applied hasn’t reached the maximum standard and caused the important information couldn’t be accessed personally by parents such as checking for the tuition fee paid, checking for the students study progress, etc. So that it might cause some parents object to send their kids to PrimeOne School. This shows that PrimeOne School needs to have good IT Strategic Planning so that the school can serve the best for parents and reach the operational goals effectively. There are some purposes in this research (1) Plan for the good IT Strategic Planning which gets along well with school vision, mission, goals and business process for the next 2 years, which is 2016-2017 period, (2) To gain the Information System and Information Technology solution also recommendation which can support school business strategy to increase the interest of parents and school competition. This research used several methods to analyze which are SWOT analysis, Potter Five Forces Analysis, CSF Analysis and Value Chain Analysis. From these analysis, information system strategy, information technology strategy and IS/IT management strategy are produced. The result of this research is a recommendation or suggestion which is portfolio application which can be used for PrimeOne. The conclusion from this research is PrimeOne School is at the Second Quadran where it is expected to enlarge the IS/IT strategy applied and produce IS/IT strategy suggestion ( Promotion Application with Social Media Cloud Computing, POS Mobile Application, Interactive Learning Application, Facility Application and develop network connection between the school buildings ) which will increase parents’ interest and school competition.
COVID-19 Trend Forecasting by Using Dropout - LSTM Model

To improve the accuracy of COVID-19 trend forecasting, a method of COVID-19 trend forecasting by using dropout and long short-term memory (LSTM) is proposed. The method uses web crawler based on python to obtain complete domestic historical data of COVID-19, which improves the efficiency of data collection and reduces data errors caused by subjective reasons. To avoid adding time features artificially and explore the nonlinear relationship fully between the less data of COVID-19, the proposed model extends the layers of the deep learning network. Then, the dropout technique is applied to the non-circular part of each hidden layer to randomly deactivate neurons, preventing the neural network from overfitting. The experiment demonstrates that the method can predict the number of cumulative confirmed cases, current confirmed cases and recovered cases. Copyright ©2020 Journal of University of Electronic Science and Technology of China. All rights reserved.
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models

Deep generative models (DGMs) seem a natural fit for detecting out-of-distribution (OOD) inputs, but such models have been shown to assign higher probabilities or densities to OOD images than images from the training distribution. In this work, we explain why this behavior should be attributed to model misestimation. We first prove that no method can guarantee performance beyond random chance without assumptions on which out-distributions are relevant. We then interrogate the typical set hypothesis, the claim that relevant out-distributions can lie in high likelihood regions of the data distribution, and that OOD detection should be defined based on the data distribution's typical set. We highlight the consequences implied by assuming support overlap between in- and out-distributions, as well as the arbitrariness of the typical set for OOD detection. Our results suggest that estimation error is a more plausible explanation than the misalignment between likelihood-based OOD detection and out-distributions of interest, and we illustrate how even minimal estimation error can lead to OOD detection failures, yielding implications for future work in deep generative modeling and OOD detection.
Вопросы построения автоматизированной обучающей системы "Множества"

The purpose of building an automated teaching system Sets is to help the student in mastering one of the important topics of the discipline Discrete Mathematics, which develops logical and mathematical thinking in this direction. Relevant topic includes a material related to the concept of a set, operations on sets, algebra of sets, proofs of statements for sets, and the derivation of formulas for the number of set elements. The system is based on a construction of the statements proof editor for a set and of the formulas derivation editor for the number of set elements, both editors are to be used for teaching. The first of these allows students to split the original statement into a number of simpler statements, taken together equivalent to the original statement, to choose a method of proving each simple statement and to conduct their step-by-step proof. The second editor allows us (using the inclusion-exclusion principle and the formula of the number of complement elements) to derive a step-by-step formula for the number of set elements through the specified numbers of elements for sets from which the resulting set is constructed. An important part of the system is to monitor the correctness of all actions of students, and on this basis the entire learning system is developed. The logical supervision over the correctness of the selected action in the first editor is performed by a Boolean function created by the system and corresponding to this action, and by checking it for identical truth. In the second editor, invariants such ascharacteristic strings of the set and of its number of elements are used for verification. The rest of the system is related to learning of set algebra and to preparation to editors usage. The main focus here is on the learning strategy, in which testing the understanding of the learned material is rather rigorous and eliminating the random choice of answers. The division of the material into sections with verification of the success of teaching not only by tests, but also by exercises and tasks, allows students to master the complex logical and mathematical techniques of proving statements for sets and derivation of formulas for the number of set elements.
Approaches to the realization of technologies of coordinated formation of students’ professional and flexible competencies in the process of professional training

The article examines a range of issues related to approaches to the formation of students’ professional competencies and soft skills in the process of implementation of technologies for their coordination. The practical use of an automated training complex developed based on modern information technology learning tools as a didactic means for the formation of professional competencies and soft skills of future specialists is demonstrated. Particular methods of coordinated formation of professional competencies and soft skills in practice are identified on the example of several specific competencies. The materials presented in the article may be used by the authors and developers of new approaches and conceptions in the modernization of professional training content and technologies.
Smart Helmet Based on IOT for Accident Detection and Notification

The project has decided to create help the old age people. Most of old age nowadays is left alone in their house. Many of the people among them dot require medical attention from the hospitals all the time. In this project, the concentration is mainly made on such old age people. The main goal is using barometric pressure sensor for fall detection the typical accelerometric sensor. The accuracy of fall detection using the barometric pressure sensor is usually high. The second goal is to send sensor value to the IoT app, Thing Speak which helps in monitoring the old age people from anywhere.
A high-resolution seismic survey across the Balmuccia Peridotite, Ivrea Zone, Italy - Project DIVE phase two, site investigation

&amp;lt;p&amp;gt;The Ivrea Verbano Zone (IVZ) is one of the most complete crust&amp;amp;#8211;upper mantle geological references in the world, and the Drilling the Ivrea-Verbano zone project (DIVE) aims to unravel the uncertainties below this area. Geophysical anomalies detected across the IVZ indicate that dense, mantle-like rocks are located at depths as shallow as ca. 3km. Thus, several geological, geochemical and geophysical studies are planned, including the drilling of a 4km deep borehole that will penetrate the Balmuccia Peridotite (Val Sesia, Italy) to approach and possibly cross the crust&amp;amp;#8211;mantle transition zone, and provide, for the first time, geophysical in-situ measurements of the IVZ.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;One of the primary requirements before drilling is a seismic site characterization, to define with precision the correct positioning and orientation of the borehole, to assess potential drilling hazards and to allow for the spatial extrapolation of the borehole logs. For that goal, two joint geophysical surveys were performed in October 2020 in a collaboration of GFZ Potsdam, Universit&amp;amp;#233; de Lausanne and Montanuniversit&amp;amp;#228;t Leoben. First: a deep seismic survey, entitled SEIZE (SEismic imaging of the Ivrea ZonE), consisting of two approximately 15km-long seismic lines performed by GFZ Potsdam, that aim to resolve the deeper structure of the IVZ in the area, and second: a static seismic survey at the proposed drill site, entitled HiSEIZE (High-resolution SEismic imaging of the Ivrea ZonE), geared towards providing high-resolution seismic images of the uppermost few km at the proposed drill site.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The HiSEIZE survey, the subject of this study, was performed with a fixed spread of 200 vertical geophones and 160 3C-sensors, spaced at ca. 11m along three sub-parallel lines spaced 50-80m apart. Vibroseis source points were at 22m stations along a 2.4km line utilizing a high-frequency (12-140 Hz) 10s linear sweep with 3s listening time. In addition to this, the HiSEIZE receiver spread was active during the deep SEIZE survey, information that may be useful in determination of a velocity model through the Balmuccia Peridotite.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This project will not only provide site characterization for the DIVE project, but also contribute to understanding the structure of the Balmuccia Peridotite, its changes in depth and its relationship with the crustal-mantle transition.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Here we present the data and discuss the challenges of 3D pre-stack-imaging in an area of extreme topography.&amp;lt;/p&amp;gt;
ТЕХНОЛОГІЇ МОДЕЛЮВАННЯ І ОЦІНКИ РИЗИКІВ ІНФОРМАЦІЙНОЇ БЕЗПЕКИ

The growing focus on information security is due to the increasing number of incidents involving the loss and disclosure of information or the loss of control over it. Therefore, the urgent task is to develop the fundamentals of information security and applied research.Today, the activities of almost any organization is associated with the need to use modern technologies for collecting, processing and storing information. This creates threats to information security, which must be addressed in a timely manner to avoid loss of integrity, confidentiality and availability of information.Modern approaches to modeling measures and methods of risk assessment in information security are analyzed. The difficulty of qualitative assessment of information risks is that there are no generally accepted methods of such assessment. Risk factors analyzed by different experts using heuristic methods can differ significantly, and therefore the assessment of information security risks in the problem of management today is one of the most difficult and urgent tasks.Information security management is implemented using mathematical modeling in combination with expert evaluation methods. The purpose of this work is to develop methods for analyzing and assessing information security risks using elements of graph theory.We consider building a model that combines the application of formal mathematical theory and informal methods, in particular, expert evaluation and search for optimal solutions, which allows to solve the applied problem of minimizing the risk of possible damage in the field of information security. The proposed model can be used during the security audit of the organization to identify weaknesses in the security system, as well as to improve the existing cyber security system.Based on the applied aspects of graph theory, modeling, analysis and assessment of information security risks are performed. Recommendations for improving the efficiency of the information protection system are formulated.