Reviewerly/exHarmony huggingface dataset:
Automatic Fall Detection for the Care of Older Adults in Smart Cities

As the number of elderly people increases, it is a necessity for smart cities to take care of elder special needs. As people age, the likelihood of accidents increases because of their motor skills decrease over time, this risk is not only latent when they live alone but also exists within the nursing homes. Because of this, constant care for older adults is a necessity for smart cities, this may not always be possible due to the lack of family members who can care for the elder or in the case of the nursing homes, the staff may not be enough to care for all adults. This leaves the need for systems that can constantly monitor older adults and respond and alert automatically in the event of accidents. In order to find a means to improve the quality of life of older adults who may suffer accidents, in this chapter it is presented an algorithm based on neural networks for the automatic fall detection of older adults in nursing homes. The implemented model was trained and tested on a database of video images containing fall situations.
The impact of reflective practice on developing and improving professional teaching skills

The article deals with the different approaches to develop reflective methods of teaching for troubleshooting in the classroom. The article emphasises that dedicated teachers are always looking to improve their daily methods, so that they can better respond to institutional demands and their student’s needs. The article gives the analysis of the reflective methods of teaching that assists the teachers to acquire both professional and personal skills that will provide them the opportunity to work more efficiently.The conclusion is made that just within the reflective teaching process teachers stand to gain a better realizing of what impact their methods and strategies have on their student’s personal learning trajectory.
Image aided measurement of the automotive brake master cylinder compensation hole normal line

The predecessor of China Optics was China Optics and Applied Optics Digest, which was founded in 1985. At that time, it was the only retrieval journal in the field of optics in China. At the end of 2008, China Optics and Applied Optics Digest was renamed
Research on Key Node Method of Network Attack Graph Based on Power Information Physical System

With the increasing scale of network, the scale of attack graph has been becoming larger and larger, and the number of nodes in attack graph is also increasing, which can not directly reflect the impact of nodes on the whole system. Therefore, in this paper, a method was proposed to determine the key nodes of network attack graph of power information physical system to solve the problem of uncertain emphasis of security protection of attack graph.
The implementation of value engineering using Zero-one Method to redesign the conventional tool for molding the cassava cracker

Abstract This research aims to develop the model of decision making to select the best alternatives design of the molding tool in producing cassava crackers. This design is implemented to improve the production capability in SMEs of cassava crackers in Tulungagung, East Java, Indonesia. This cassava cracker is one of traditional food which includes in the strategies of Tulungagung government in empowering the local wisdom in the region. Even though this product becoming the favorite local food, the number of the product is not much in the market. This is because the production process is undertaken manually. In addition, the thickness and diameter are not precise, because the tool used is a molding machine using manual handle. It still needs a long time to yields the products. Also, it can cause a delay in order to fulfill market demands. Therefore, the researcher redesign machining tool in molding the cassava crackers to increase the production speed. There are four design alternatives, i.e. machine design A; machine design B; machine design C; and machine design D. The best alternative is depending on some criteria which are time efficiency, output quantity, the construction strength, hygienic, the dimension of machine, machine operational, and output quality. In selecting the best design, this research applies zero one method. The result shows that the best alternative was machine design B. It has the biggest weighted number by 28.158 among others. It means that the machine has a thick plain plate and the type to press in the molding machine utilises the pneumatic model.
Research on the Integration Model of Mechanical and Electrical Major Teaching in Higher Vocational Colleges

This paper mainly focuses on the integrated teaching mode of electromechanical specialty in higher vocational colleges and expounds the present situation of teaching electromechanical specialty in higher vocational colleges.At present, because of the rapid development of our country's economy, the manufacturing industry is developing more and more rapidly, and the market needs more and more mechanical and electrical professionals, but because there are still many problems in the teaching of mechanical and electrical specialty in higher vocational colleges, it has hindered the development of mechanical and electrical specialty in higher vocational colleges, and also affected the effect of training mechanical and electrical professionals in higher vocational colleges.
Pengelompokan Tamu Asing Ke Indonesia Berdasarkan Provinsi Dengan Algoritma K-Means

The development of the industry in Indonesia has been growing rapidly; this is marked by the number of foreign guests who come to Indonesia to visit an object of tourist attraction. Also, which makes foreign guests feel happy coming to Indonesia, the population's friendliness is also one of the factors that are very supportive. Lack of information and grouping regarding the visit of foreign guests to various tourist attraction objects in various provinces resulted in difficulties for the Regional Government, especially the Office of Tourism and Creative Economy, in planning tourism marketing strategies in various provinces so that tourism promotion or marketing is not on target, causing foreign guests rarely visit tourism- tours in lesser-known provinces.The goal to be achieved in this study is to get a grouping of data on foreign guest visits in each province during the period 2014-2018 using the K-Means algorithm. K-means is a non-hierarchical data clustering method that attempts to partition existing data into one or more clusters / groups. The results obtained can be considered by the government, especially the Office of Tourism and Creative Economic in the Provinces to develop the potential of tourist attraction objects in the provinces in Indonesia.
Technology Tool in Teaching Biology: A Mixed Reality Mobile Application

Teaching biology subject is difficult most especially when the topic needed to have actual experimentation. Human Anatomy is one of the fields of biological science. In a traditional teaching and learning process, teachers used the traditional way of presenting visual materials to their students. The researcher developed a Mixed Reality application that transformed the traditional presentation of visual materials of the teachers into a 3D model of the human anatomy. There was a total of forty-five (45) respondents. The researcher utilized a descriptive qualitative type of research where was used to describe a situation, subject, behavior, or phenomenon. Rapid Prototyping Development Methodology (RPDM) was utilized in the development of the application to quickly build and improve the application through user feedback. Results showed that the respondents strongly agreed on the effectiveness of the application based on functionality with a total weighted mean of 4.58, usability with 4.58, efficiency with 4.55, and portability with 4.41. The respondents also strongly agreed on the user’s acceptance of the developed application as manifested by the computed total weighted mean of 4.53. Based on the ranking on the user’s acceptability to the developed application, criterion 1 or “Strongly Agree”. It is recommended that the application was functional, usable, efficient, portable, and accepted by the user to use as a technology tool in teaching biology subjects using mixed reality applications in mobile devices.
Novel Statistical Load Balancing Algorithm for Cloud Computing

Load balancing in a cloud computing environment has an important impact on performance. Good load balancing makes cloud computing more efficient and improves user satisfaction. Because enterprises are located near users and have the least distribution, load balancing in cloud computing becomes more and more important. The load balancing of cloud computing provides a good and efficient strategy for multiple queries residing in a centralized cloud computing environment. Complete balance must directly consider two tasks; one will be resource supply and resource allocation, as well as the task plan in the entire distributed system. The round-robin algorithm can be the simplest algorithm shown so far, and can help distribute the population between nodes. Therefore, it is usually the first choice when implementing a simple scheduler. One of the reasons for this simplicity is that the only information required is the node list. This work identified the drawbacks of implementing existing load balancing algorithms in a cloud computing environment, and designed a solution that uses priority as a load balancing parameter in a given environment
Decision Support Systems in Identifying Silungkang Songket Motifs Using the AHP Method

Songket Silungkang is a traditional weaving product made with special tools and is the creation of weavers from the Silungkang area. Songket has various types of motifs that are currently popular in Indonesia. So that it becomes a consideration for songket enthusiasts to get information about the songket motif. In this case, a proper analysis is needed to speed up the identification process in determining the Silungkang songket motif. Therefore we need a model that can describe all computerized systems that support the decision-making process. The decision support system using the Analytical Hierarchy Process method assesses each motive with the criteria and changes in the weight value. The criteria used in identifying Silungkang songket motifs are the type of material, the shape of the motif and the color of the motif. This study produces a matrix of yield weight, with the highest value of 90.0%. So that from the final results of the calculation, it can be identified that the most popular songket Silungkang motif at the INJ Songket Store is the pucuak rabuang motif. This is useful for facilitating decision making related to the identification of Silungkang songket motive in the future
Emoji & emoticon-related legal issues / Nor Azlina Mohd Noor and Ahmad Shamsul Abd Aziz

Emoji and emoticon are the most important inventions in the history of communication. During the early days, emoticon and emoji were perceived as an aid in communication by helping people to clarify the tone of online texts. Even though sometimes the meaning really does not matter, the meaning of emoji and emoticon themselves were highly subjective and promoted an ambiguity. Though ambiguous, emoji and emoticon do convey meaning and legal practitioners need to consider when they will be legally binding or conveying intentions. Hence, the intriguing focus of this article is exploring the challenges that will be posed of the legal fraternity on the method usage in constructing the meaning of the emoji and emoticon and the judicial responses in Malaysia. This article is a conceptual paper applying a doctrinal legal research method particularly via a library research. This article concludes that the legal fraternity especially Malaysian judiciaries need to equip themselves with the legal framework with regards to the emoji and emoticon. The legal statutory interpretation needs to be extended into a wider scope to incorporate the emoji and emoticon. Due to the overwhelming used of digital application using emoji and emoticon in media social, the legal dispute will be foreseeable in the near future.
New K-means Clustering Method Using Minkowski’s Distance as its Metric

Cluster analysis is an unsupervised learning method that classifies data points, usually multidimensional into groups (called clusters) such that members of one cluster are more similar (in some sense) to each other than those in other clusters. In this paper, we propose a new k-means clustering method that uses Minkowski’s distance as its metric in a normed vector space which is the generalization of both the Euclidean distance and the Manhattan distance. The k-means clustering methods discussed in this paper are Forgy’s method, Lloyd’s method, MacQueen’s method, Hartigan and Wong’s method, Likas’ method and Faber’s method which uses the usual Euclidean distance. It was observed that the new k-means clustering method performed favourably in comparison with the existing methods in terms of minimization of the total intra-cluster variance using simulated data and real-life data sets.
BIBLIORADIUN: a missão da biblioteca da rádio da Universidade Federal do Maranhão = BIBLIORADIUN: the mission of the Federal University of Maranhão radio library

Traça-se um diagnóstico sobre a biblioteca da rádio (Biblioradiun) da Universidade Federal do Maranhão (UFMA), com ênfase em aspectos teóricos e práticos que envolvem a Ciência da Comunicação e da Biblioteconomia. Objetiva-se verificar a situação atual da Biblioradiun em relação a sua missão dentro do campo acadêmico; analisar a relação interdisciplinar entre Biblioteconomia e Ciência da Comunicação; e conhecer o progresso anterior da biblioteca e sua dinâmica com o mundo tecnológico. Para tanto, realizamos uma pesquisa bibliográfica e de campo, essa última com vistas a conhecer sobre nosso objeto de estudo. Percebe-se, que apesar da Biblioradiun possuir um acervo riquíssimo e ativo, não está ocorrendo o processo de disseminação da informação, consequentemente, não há interação entre usuário e biblioteca, e entre a Biblioteconomia e Ciência da Comunicação.ABSTRACTA diagnosis is made of the radio library (Biblioradiun) of the Federal University of Maranhão (UFMA), with an emphasis on theoretical and practical aspects involving Communication Science and Library Science. The objective is to verify the current situation of Biblioradiun in relation to its mission within the academic field; analyze the interdisciplinary relationship between Library Science and Communication Science; and learn about the library's previous progress and its dynamics with the technological world. Therefore, we carried out a bibliographical and field research, the latter with a view to getting to know our object of study. It is noticed that although Biblioradiun has a very rich and active collection, the process of information dissemination is not taking place, consequently, there is no interaction between user and library, and between Library Science and Communication Science.
Study of Resource Amount Configuration for Automatic Application Offloading

In recent years, utilization of heterogeneous hardware other than small core CPU such as GPU, FPGA or many core CPU is increasing. However, when using heterogeneous hardware, barriers of technical skills such as OpenMP, CUDA and OpenCL are high. Based on that, I have proposed environment-adaptive software that enables automatic conversion, configuration, and high performance operation of once written code, according to the hardware to be placed. However, although the conversion of the code according to the migration destination environment has been studied so far, there has been no research to properly set the resource amount. In this paper, as a new element of environment adaptive software, in order to operate the application with high cost performance, I study a method to optimize the resource amount of CPUs and offload devices.
ETL Process in a Federal Educational Institution : Obtaining Functional Information and Geolocation of Retired Servers

The ETL (Extract, Transform and Load) process is part of the Intelligent Business (BI) tools. It is used in organizations, public and private, to compile and process data, as well as perform extraction, cleaning, optimization and unification of various sources and loads of data in a Data Warehouse. BI makes it possible to achieve more accurate results, using a multidimensional database, oriented by subject, non-volatile, historical, decision-making and variable in relation to time. The ETL process proved to be an effective tool in the management of retired employees of a Federal Educational Institution, since it enabled the development of a base of indicators, through the BI, quantitative, qualitative and geographic tools of these employees. With the unification of the various databases, it was possible to identify the spatial location of the servers, allowing faster contact, their concentration by age group, the level and intensity of the links between the parties, as well as the evolution of health-related issues, evolution of retirement, mainly in legal matters. Thus, this article describes the ETL process designed to extract information about retired employees from different data sources and the creation of a Data Warehouse capable of providing individual and group information about these retired employees.
A note on hyperopic cops and robber

In this paper, we explore a variant of the game of Cops and Robber introduced by Bonato et al. where the robber is invisible unless outside the common neighborhood of the cops. The hyperopic cop number is analogous to the cop number and we investigate bounds on this quantity. We define a small common neighborhood set and relate the minimum cardinality of this graph parameter to the hyperopic cop number. We consider diameter [Formula: see text] graphs, particularly the join of two graphs, as well as Cartesian products.
Secure Blockchain Based Data Storage and Integrity Auditing in Cloud

A blockchain is a linear collection of data elements, where each data element is called as block. All blocks are linked to form a chain and secured using cryptographic hash function. Each block typically contains a hash pointer as a link to a previous block, a timestamp and transaction data. Public verification techniques enable users to outsource the data integrity verification to a dedicated third party auditor. To ensure the security in the case that the auditor is compromised, the users are required to audit the auditor’s behaviors. Hence, the user data need to maintain in a secure way is an essential task along with data integrity. Blockchain provides such kind to secure data storage along with data integrity without compromising confidentiality. The double SHA provides a collision free secure storage than other technique. Hence Double SHA based block generation and verification is proposed in this work. In this work both data owner and public auditors are verified the integrity for providing highest accuracy. Experimental results show that the proposed technique provides better results and security to user data in an efficient manner is proved
Implementation Of Perceptron Algorithm For Logic Gates Using ANN

Biological/organic neurons ar the  main components  of  human  brain. Neuron processes and  sends information  to  other  neuron  by  sending  electrical  signals. Artificial neurons are inspired by biological neurons. These artificial neurons are interconnected to form artificial neural networks. This neural network’s  structure helps  to  make computation faster for certain tasks hence making it suitable for implementation in VLSI technology. Then the Logic gates is implemented using feed forward network and the design is realized using Verilog HDL.
BRIEF DESCRIPTION ON SOME DESIGN TERMS

This article discusses some of the design terms related to information technology. Not only a brief overview of these terms, but also synonymous words and examples of these terms are given in detail.
Research on the Application of Internet of Things Technology in Industrial Automation

With the advancement of society and the improvement of the science and technology, people's lives have undergone huge changes. Today's society has become a networked society. The Internet of Things technology is widely used and has become more and more closely related to human production and life. It has become necessity in life. According to the inherent advantages of the Internet of Things technology, it plays an important role in the field of industrial automation. Through the application of the Internet of Things technology, the level of industrial automation has been greatly improved, and productivity and production efficiency have been improved accordingly. This article is based on the Internet of Things technology to study its application in industrial automation, aiming to provide valuable experience for the application of Internet of Things technology and the improvement of industrial automation.
In the international agenda for digital transformation: analysis of the concept of digitalization and processes Abai KazNPU

The development of comprehensive digital transformation programs is an important factor in the success of universities in the evolving digital environment. In this investigation, the analysis of program documents and current processes of digitalization of NJSC «KazNPU named after Abay» was carried out for compliance with the international agenda of digital transformation and advanced trends. An assessment was made of the completeness of the concept of digitalization of the university, its coverage of all key areas of digital transformation, set by framework models. Also based on various approaches to the analysis of the digital maturity of higher education organizations, an assessment was made of the stage and phase of digital transformation in which the processes of the university are located. The presented investigation made it possible to highlight the strengths, as well as form promising areas that require development and inclusion in the digital transformation program of the university.
Correction to: KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis

In the originally published version of chapter 18 the name of Rongpeng Li was misspelled. This has been corrected.
Cell Biology: Function Guides Form of Auditory Sensory Cells

Mechanosensory bundles on auditory sensory cells are composed of stereocilia that grow in rows of decreasing height. This pattern depends on the specification of the eventual tallest row, then the assignment of distinct molecular identities to the shorter rows. Mechanotransduction refines and maintains row identity, thus instructing the form of the bundle.