Reviewerly/exHarmony huggingface dataset:
Cost-conscious mutual information maximization for improving collective interpretation of multi-layered neural networks

The present paper aims to improve the collective interpretation realized by compressing multi-layered neural networks and to make the interpretation as natural and stable as possible. We collectively interpret the final representations by maximizing mutual information between inputs and neurons, expecting that mutual information maximization can disentangle complex features into simpler ones. However, we have had difficulty in increasing mutual information and in obtaining interpretable features for several data sets. By examining closely the processes of information maximization, we found that, in addition to the information maximization, we need to consider the cost associated with this information maximization. Thus, we try to maximize not simply mutual information but the ratio of mutual information to the cost, and this method can be called “cost-conscious mutual information maximization.” The cost-conscious method aims to extend Linsker’s maximum information preservation principle to a variety of data sets by more directly taking into account the cost associated with the process of information maximization. The method was applied to two data sets: the artificial and symmetric data set and the credit default data set. First, by using the symmetric data set injected with random noises, the cost-conscious information maximization method could extract the symmetric property almost perfectly against the random noises. In the experimental results on the credit default data set, the present method could make it possible to interpret the final results the most naturally, showing why and how the credit default could occur very naturally. The experimental results show that the neural networks can be used to interpret data sets more naturally than the conventional methods such as the logistic regression analysis.
PENGEMBANGAN MEDIA PEMBELAJARAN VIDEO TUTORIAL MELUKIS TEKNIK AQUAREL DI SMA NEGERI 3 SURAKARTA TAHUN AJARAN 2020

Paint with aquarel technique is the art of painting that use watercolour and has been applied as teaching system in school. Painting with aquarel technique can build imagination and be a sign of art to reveal student’s ideas and concepts. But of ten student can not make the paint with aquarel technique maximally, so with this tutorial media hopefully can be the alternatives for students who have attractions about paint with aquarel technique but do not have acces to get aquarel technique materials wich is equipped with media tutorial that efficient and ideal. This article use literature reviews wich is contains theory or previous researches related watercolour painting and the benefits of using video tutorial media. Video tutorial media with aquarel technique expected  to be able to help the teachers to providing opportunities for students to learn paint with ideal learning media effective and efficient.
Developing Cybersecurity Awareness

For an effective Cybersecurity Culture, it is fundamental to develop adequate cybersecurity awareness programmes. Awareness, training and education are the three areas which define a learning process. Understanding their meaning and their mutual relationship is the key for organizations to identify the appropriate tools and methods to induce people to behave responsibly. With awareness we refer to having knowledge of a certain situation and behaving consequently; training is an active and a more or less formal process to teach skills; education is the process of providing integrated knowledge and skills and the means to extend them. Talking of the building of a Cybersecurity Culture, our commitment cannot be limited to the use of materials like videos or posters; these are important in the context of awareness initiatives, but they must be part of a more complex process, whose goal is to induce people to change their behaviour. The success of this process depends on the quality of used tools and contents and on employees’ motivation, which has to be stimulated so as to ensure their active participation. Changing insecure behaviour and fostering a responsive mindset is a challenge that cannot be achieved in a short period; this also requires the knowledge of human nature and its mechanisms. In this sense, common habits in security deriving from the physical world can be a source of inspiration for the development of cybersecurity awareness programmes. Finally, some recommendations are provided in order to plan cybersecurity initiatives and to avoid their failure.
Technical Performance Verification of Wearable and Home Sensor Devices Monitoring Sleep: Best Practices

There is an outstanding need for the availability of objective platforms capable of quantifying sleep in the home setting using Wearable and Home Sensor Devices (WHSDs). To this end, it is important to verify and validate the utility of the WHSDs in the target population. Published studies often lack the rigor on methods to power clinical studies, or how to align and properly stack data from WHSDs.
LibGuides: A Scholar's Guide to Pandemics: What is a Pandemic?

COVID-19 is a new virus but the phenomenon of pandemics, and epidemics, has long been a fact of life. This guide offers multidisciplinary resources and subjects throughout the university curriculum. Take this opportunity to study what we have long known a
Research Guides: Library Services for Rabb GPS Programs: Find Ebooks

This research guide highlights the services and resources that will be most helpful to you throughout your GPS program. The guide also includes tips on searching more effectively and ways to get help with research, writing, and citations.
Alternatives to Using the Same Key for All Locks | Great Valley Lockshop

Traditional keyed door locks are still among the most common component of home and business security to this day. These locks are inexpensive, easy to ...
Developing Use Cases of Blockchain Technology

Technology innovation creates value and competitive advantage. Blockchain has been used to resolve existing problems and offer efficient operations. Blockchain is applied in education, healthcare, automation, etc. Blockchain with permanence and reliability attributes has created trust in digital assets with high integrity and availability to leverage on innovative transactions. Indeed, a plethora of blockchain use cases and value propositions are documented. That notwithstanding, there is dearth of literature on transforming some legacy systems and creating value. To harness the potential, a deeper understanding of use cases and future opportunities is imperative. So, how can blockchain be harnessed for best value creation? What strategies could be adopted by SMEs to leverage? The study explicated on taxonomy of use cases in taxation, e-voting, AI and IoT, and analyzed some value creation perspectives to identify opportunities, in particular, smart contracts used to enforce regulatory compliance. It implies that blockchain use cases could create future opportunities for SMEs.
A Study on the Efficiency of the Foreign Exchange Markets: Evidence from Korea, Japan and China

Purpose - The purpose of this study was to examine the efficiency of the foreign exchange markets in Korea, Japan and China. Design/methodology/approach - This study collected 1327 observations each of the daily closing exchange rates of the three currencies against the US dollar for the sample period from January 1, 2015 to January 31, 2020, based on the tests for autocorrelation, unit root tests and GARCH-M(1,1) model estimation. Findings - We have found that the autocorrelation test indicates the lack of autocorrelation and unit root test confirms the existence of unit roots in all times series of the three currencies, respectively. The GARCH-M(1,1) test results, however, suggest that the exchange rates do not follow a random walk process. In conclusion, the recent spot foreign exchange markets in Korea, Japan and China are believed to be informationally inefficient. Research implications or Originality - These findings have practical implications for both individual and institutional investors to be able to obtain excess returns on their investments in the foreign exchange markets in three countries by using appropriate risk management, portfolio strategy, technical analysis, etc. This study provides the first empirical examination on the foreign exchange market efficiency in the three biggest economies in Asia including China, which has been excluded from research due to its exchange rate regime.
Social media, rural communities and crime prevention

Crime is often considered to be absent in idyllic and idealised rural communities. Rural communities, too, are often perceived as having static and close-knit community bonds that facilitate social control and explain the perceived absence of crime. They are, in essence, place-based communities. Even when invoked symbolically, they are still tied to the geographical particularities of the ‘the rural’. This chapter argues that the image of rural spaces as home to tight-knit, closely bound communities perhaps explains the comparative lack of research regarding social media use in rural communities. If rural communities are ‘traditional’ communities that prioritise face-to-face communication, it is easy to see how social media might be easily dismissed as irrelevant to their social fabric. However, rural communities have always existed in networks with other places. This chapter discusses the existing literature on social media in rural communities and on crime prevention in rural communities and argues that engagement on and through social media may have positive results for crime prevention.
CODE MIXING IN ITSFIYAWIN IF I CAN’T

This study deals with “Code Mixing in Itsfiyawn If I Can’t”. This thesis was analyzed by using qualitative method and quantitative method which some references are searched that will be used as source books. The objective of this study is to know the types of code mixing, the most dominant type of code mixing and the reason of the most dominant type of code mixing at all of eighteen chapters. This study applies research based on qualitative and quantitative. The findings of this study shows that there are types of code mixing found based on the theory of Muysken. The study has been found that, there are 144 code mixing, consist of 98 occurrences for insertion (68,08%), 23 occurrences for alternation (15,96%), and 23 occurrences for congruent lexicalization (15,96%). Based on the analysis, it concludes that the most dominant type of code mixing is the insertion with 68,08% or 98 occurrences.
A Preliminary Assessment of the Correlation of Drying Time and the Peripheral Rim Thickness of Perimeter Bloodstains

Bloodstain patterns can be used to attempt to sequence events that occurred during a bloodshed event at a crime scene. Perimeter bloodstains may be useful for sequencing as they can indicate movement or the presence of some interacting object between the time that the blood was initially deposited onto its target surface and when it dried completely. The purpose of this series of experiments was to assess the reliability of perimeter bloodstains as an estimation tool for bloodstain drying time as well as to compare the properties of perimeter bloodstains on different target surfaces. After measuring over 600 bloodstains, it was determined that there was a significant difference in the peripheral rim widths of perimeter bloodstains of different drying times under the conditions of this experiment. It was also determined that similar peripheral rim width characteristics are seen on both cardboard and glass surfaces, however, the diameter of the same volume deposited on both surfaces is smaller on cardboard than on glass.
Mammoth Mailout for Borough’s Community Hub

Leaflets outlining how people can get crucial help during the coronavirus pandemic have started dropping through the letterbox of every home in Ribble Valley.
HIDING SENSITIVE INFORMATION OF STUDENT FOR SECURE STORAGE ON CLOUD

Cloud Computing provides a best way to the user for storing and computing the data. We can use cloud computing to maintain data privacy and confidentiality in the cloud. We have to pay-per-use and it requires an internet connection for work. Due to the lack of data security cloud provides an efficient way to store the data in encrypted form on the cloud. The aim is to prevent misuse of student documents and search the require data as per student requirement. IT application plays an important role in the area in any college organization where we need to secure confidential document. Cloud users are uploading personal or confidential data to the data center of a Cloud. The security analysis and our proposed scheme is secure and efficient. Our aim is to protect the data from unauthorized access. The cloud file might contain some sensitive information and it should not be revealed to others. Hence before sharing, the whole file will be encrypted using ECC/AES algorithm. For decrypting the document, the QR code first needs to be scanned using a cell phone and OTP is used to authentication for downloading and accessing the document. The whole system would be menu-driven and user-friendly. The reason behind why QR code are more useful than a standard barcode is that they can store (and digitally present) much more data, including URL links, geo coordinates, and text.
НОВЫЙ ПОДХОД К ГЕЙМИФИКАЦИИ В ОБРАЗОВАНИИ

This article is dedicated to up-to-date topic – gamification in education. The authors analyze and highlight weaknesses of current basic gamification approaches and models such as PBL-model, Werbach’s and Hunter’s gamification model, Y-kai Chou’s gamification model, the model for introduction of gamification into e-learning in higher education. The aim of the research is to develop a new gamification approach to education based on the existing models. Methods: system approach, comparative analysis. Methodological basic principles of the research are Y-kai Chou’ Octalysis, Bloom’s and Simpson’s taxonomies, LM-GM model. Results. The authors propose the new approach to gamification for education. It is based on videogame potential usage in two ways: firstly, on holistic design of virtual world embedding fundamental characteristics and properties, secondly, on game mechanics usage. The new approach takes into account not only pedagogicalgoals, but also needs and interests of learners and consists in algorithm that describes gamification of educational course.
Based on Analysis of Large Data Computer Information Management System Design

In traditional computer information management system, the management process takes a lot of energy. In order to solve this problem, a new computer information management system was studied based on big data technology, and the hardware and software parts of the system were designed. The hardware part focused on the design of the microprocessor, CCS integrated environment, collector and circuit, software setting information collection, information analysis, and information output. In order to test the actual working effect of the design system and compare it with the traditional system, a comparative experiment was set up. According to the experimental results, the computer information management system designed was characterized by low energy consumption, good management effect, and good market development space in the management process.
The Advantages of Flexitank Waste Processing With Close Loop Aplication System

Flexitank is a large container-sized package with a capacity of 18-24 thousand liters made of plastic and can only be used once in a single shipment, in other words when it has been disassembled, the flexitank cannot be used anymore because there is a fear of leakage. the problem faced is that most flexitank companies only sell flexitank and don't know where the flexitank waste is discharged by the user and whether it is dangerous or not. Close loop system is a system with direct reciprocal to the entry and exit of goods, the production and reverse logistics of goods will be controlled through a system that has been connected. we will conduct research by trying to mix and match flexitank waste with a close loop system, which means that flexitank producers will control their products by working with recycling companies through an application so that the flexitank waste is melted and becomes a material to make flexitank or at least plastic seeds that can into other plastic products. As a result, Flexitank manufacturers will have a partnership with a recycling company that will facilitate Flexitank users to dispose of Flexitank waste without having to pay a recycling company and be responsible for Flexitank waste.
Introducing Self-Learning into Robotic Arm Using Deep Reinforcement Learning

With the growing trend of autonomous machines, the combination of supervised and unsupervised machine learning techniques has been explored in providing optimal solutions for self-learning. In robotics, the curse of dimensionality makes convergence of machine learning difficult, no matter whether it is supervised or unsupervised. Therefore, reinforcement learning, which often requires a large number of trials for effective learning experience similar to unsupervised learning, suffers serious challenges in robotic applications. Consequently, choosing an appropriate algorithm that would perform optimally is of utmost importance. In this work, a robotic arm having 6 degrees of freedom combines supervised and unsupervised learning techniques by using a concept called Deep Reinforcement Learning, this helps the robot in becoming autonomous. It uses a camera image as an input to generate states through observation of the image, and distance for the reward system. It learns the optimum policy for action selection given a particular state observation that would achieve the maximum reward. The off-policy Deep Q Network (DQN) algorithm is to be implemented in this design and will be deployed on the robotic arm for independently learning the optimum movement towards achieving a certain task in a controlled environment.
Static Code Analysis Using Refinement Types based on Design by Contract

Design by Contract is a programming methodology by which it is possible to annotate program codes with contracts in order to increase the safety of the program. The contracts represent the speci-fication of the software and are categorized into three groups: pre-condition, post-condition, and invariant. The idea of Design by Contract provides the correctness of a program code, satisfying that the caller of each procedure assumes the responsibility for the pre-condition and the callee assumes the responsibility for the post-condition. Findler et al. proposed a formal system based on the typed lambda calculus in which contracts are verified dynamically, that is, in run-time. Flanagan et al. introduced a formal system in which both static and dynamic checking of contracts are possible. In their system, it is possible to represent a contract as static, typing information using refinement type and dependent type. In our paper, we introduce the typed lambda calculus with dependent type and refinement type in the style of Flanagan and study a static analysis in the calculus. The static analysis provides refining of contracts and code optimization based on the contracts. We implement the analyzer using an SMT (Satisfiability Modulo Theory) server.
Social Participation of Deaf Students within Inclusive Higher Education

Most children with special needs in schools that provide inclusive education still experience difficulties with developing social relationships with peers; their social tendencies are often limited to peers who also have special needs. The purpose of this study was to examine the social participation of deaf students at the University of Lambung Mangkurat in Banjarmasin, Indonesia, which included 28 people, of whom 5 were deaf students and 23 were their peers. Social participation was examined through three indicators: friendships or social relationships, classmates’ acceptance, and student perceptions. We used a quantitative approach with a survey for this research. To collect data, we used interviews, questionnaires, and other documentation. The results of the study show that social participation in inclusive settings for deaf students with peers can provide positive benefits. This research has implications for lecturers, for preparing learning management approaches that build student social participation.Key words: Social participation, deaf students, inclusive education.
Library Guides: Virtual Reality Multimedia Production: Programming Basics

Research guide for the AR/VR Graduate Certificate program at Mohawk College. Resources for programming in 3D applications.
How inorganic geochemistry analysis will bring advantages in understanding reservoir quality in complex environments; an example from grand bank, offshore Newfoundland, Canada

Preview this conference paper: How inorganic geochemistry analysis will bring advantages in understanding reservoir quality in complex environments; an example from grand bank, offshore Newfoundland, Canada, Page 1 of 1 < Previous page | Next page > /docserver/preview/fulltext/2214-4609/2020/restech2020/202RESTECH03-1.gif
Humanly Evolving Robotics with Angular Sensor Control (Herasc)

In artificial intelligence, identifying suspectable activities and people in public areas is a real-time challenging issue. This paper proposing robot framework which can act like human using natural language processing and self-learning-based deep reinforcement learning (DRL) for making human-related robots, which use finite human action sets as a form of walking and human to human conversations. In our approach, human conversions made sentence clustering and waking actions are recorded for future training. While recording walking styles, consider angle movements and calculate distances between foots and used as further incremental learning using DRL. We assume human conversation data as without labels manually and angular movements of walking style. Investigational results using robot reveal that (1) near human-like discussion rules can be encouraged, (2) classifying the suspecting human walking panaches (3) self-trained with instance conversations and angular movements show performance over using a single negotiator. In addition, rated dialogues in terms of fluency and judgment of suspecting events will be predicted.
Role of collective preparation and measurement of states in some quantum communication protocols

Abstract We consider related problems in quantum communications: distribution of information and a secret key between a sender and several receivers. We study the gain of participants of communication protocols both from the use of collective measurements and from collective actions at the transmitter’s side related to the employment of entangled states and various actions on them.
Prototipe Lampu Lalu Lintas Dengan Pewaktuan Adaptif

This prototype working with the video recording of cameras that processed by OpenCV on Mini PC (Open Source Computer Vision Library) is a software that aims to process data in real-time, made by Intel, the image processing method was worked with background substraction where the function is to identifying the moved object from the traffic (car, motorcylce, truck) then translated to unknown object with comparing frame per frame at the image. After the object was successfully identified, then the diffent of the object was taken, thresholding is happen at this process. From that threshold the object has been differentiated each other to determine the countors. After that, then the algoritm was implemented to get the indicator of the length of vehicle/traffic queue. From that indicator will be used for determine how long the duration of traffic light. The result of the data processed is time allocation then forward to processed by Arduino Uno that the function is to switch the light (red, yellow, green).