Reviewerly/exHarmony huggingface dataset:
Event Detection in Complex Environments: An Effective and Efficient Machine-Learning-Based Framework (S)

In this paper we describe a falls detection and classification algorithm for discriminating falls from daily life activities using a MEMS accelerometer.The algorithm is based on a shallow Neural Network with three hidden layers, used as fall/non fally classifier, trained with daily life activities features and fall features.The novelty of this algorithm is that synthetic falls are generated as multivariate random Gaussian features, so only real daily life features must be collected during some day of normal living.Moreover, the features related to synthetic fall events are generated as complement of normal features.First of all, the features acquired during daily life are clustered by Principal Component Analysis and no Fall activities shall be recorded.The complement set of the normal features is found and used as a mask for Monte Carlo generation of synthetic fall.The two feature sets, namely the features recorded from daily life activities and those artificially generated are used to train the Neural Network.This approach is suitable for a practical utilization of a Neural Network based fall detection characterized by high Recall-Precision rate.
KLASIFIKASI JENIS REMPAH-REMPAH BERDASARKAN FITUR WARNA RGB DAN TEKSTUR MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR

Indonesia is a country famous for its spices wealth, spices have many benefits such as cooking and can also be used as medicine, but nowadays there are many Indonesian people who cannot distinguish each type of spices especially the rhizomes that will be used due to their shape quite similar, even though the selection of the right type of spices in accordance with the needs is very important because the spices used for cooking or medicine have different taste and efficacy, therefore the use of computer technology needs to be used to facilitate and accelerate humans in conducting classifications, this research classifies spices based on RGB and Texture colors using K-Nearest Neighbor Algorithm and distance measurement using Euclidean Distance, from 30 times the test experiment gets the result that the level of truth with K = 1 is 76%, K = 3 is equal to 67% and K = 5 by 63%. From these results it is known that based on GE colors and computer textures can classify spices but with a fairly low accuracy so that further development is needed such as adding form features. Keywords: classification, spices, K-Nearest Neighbor .
NCHLT Tshivenda Auxiliary Speech Corpus

The corpus contains orthographically transcribed broadband speech in each of South Africa's eleven official languages. Transcriptions are provided in XML format.
Seasonal analyses of solar radiation on flat ground for different stat of sky: Case of Nouakchott, Mauritania

This paper proposes a method to evaluate solar energy on flat ground for different state of sky (clear sky, moderately covered sky and covered sky). Four semi-empirical models (Link Cloudiness Factor (LCF), Perrin-Brichambaut (PB), Ghouard (GD), Bird Hulstrom (BH)) have been considered to predict solar radiation. An influence analysis of the seasonal variation on the quality of solar energy potential was carried out. In this study, two seasons (dry seasons and rainy season) were identified for the site of Nouakchott. Results of the study showed three cases: The first one is the clear sky, which includes two cases one was during the rainy season, where the model of the LCF was the best with Normalized Mean Square Error NMSE (0.073) and Correlation Coefficient R (0.975), and the other was during the dry season, where the model of BH was most suitable with NMSE (0.069) and R (0.973). The second case is the moderately covered sky, where the GD model was the best model during the dry season whereas BH showed the best results with NMSE (0.242) and R (0.911) during the rainy season. The third case is the covered sky, where GD model with NMSE (0.880) and R (0.831) in the dry season and PB model with NMSE (0.615) and R (0.831) in the rainy season were the most adapted ones.Keywords: Solar energy, state of sky, prediction, solar radiation, clearness index.
공과대학생의 팀워크역량이 문제해결능력에 미치는 영향: 창의적 인성의 매개효과

This paper deals with the effects of teamwork competence on problem solving ability through the mediating effect of creative personality for the...
Регистрация произведений как инструмент защиты авторских прав в трансграничных отношениях (сеть Интернет)

The paper analyzes copyright registration systems in the Russian Federation and abroad. The fact of creation of a work gives rise to the author a number of rights and obligations without performing any formalities, including registration of the work. There are three systems in which registration of a work creates for the copyright holder additional protection of the rights of the author, does not create negative consequences for non-compliance with the registration procedure or is provided by law only for specific copyright objects. Deposit is considered as an element of the procedure for registration of works, including as an indirect confirmation of the fact of the creation of a digital work for the lex loci originis collision binding states (the law of the state of origin of the work), and for the lex loci protectionis targeting states (the law of the state where protection is claimed), the deposit does not confirm the fact of the creation of the work, but helps to preserve the copyright object.
A Verification of a Control System of Multi-fingered Hands for Realizing Task Oriented Software Synergy

This paper proposes a concept of the task-oriented software synergy (TOSS) for anthropomorphic hands and designs a control system of multi-fingered hand that realizes TOSS. By using TOSS, we can perform various tasks with fewer principal components than those of conventional synergies by switching synergy corresponding to each task. We show that TOSS can be realized with lower approximation error and higher contribution rate than the conventional synergy for a given task. Moreover, we verified through physics simulation that an adverse effect of dimensionality reduction is smaller than conventional synergy. These results show that, by using TOSS, we can properly perform various tasks with fewer inputs.
Decentralized Privacy-preserving Access for Low Emission Zones

Low Emission Zones (LEZ) are a common mechanism to regulate traffic jams and environmental pollution. Nevertheless, the problems of this solution are lack of privacy its reliance on centralized entities. The presented scheme continues the emerging trend of using cameras to only identify dishonest users, and proposes a decentralized access control system for LEZs, which, through a tailored group signature model, addresses the user’s privacy requirements that a public ledger like blockchain demands.
The Quantity of Heavy Metals in Sediments around Mattapon Shipwreck, Chonburi Province

This research was studied on some heavy metals in sediment around Mattapon Shipwreck, mounted at 22m depth, located in Northeast of Koh Lan, Chonburi Province from 12 stations including the near, middle and outer aspects of each side and one reference point (700 meters from the shore). Sediments were acid digested and analyzed for the following six selected heavy metals: Copper (Cu), Manganese (Mn), Iron (Fe), Cadmium (Cd), Lead (Pb), and Zinc (Zn). The study was conducted 5 times in June, October and December in 2017, March and June in 2018. The results showed that the average amount of Copper was 0.08-0.49 mg/kg, Manganese 28.21-45.18 mg/kg, Iron 609.79-1213.75 mg/kg, Cadmium 0.21-0.70 mg/kg, and Lead 9.08-13.94 mg/kg. The concentrations of theses heavy metals except Manganese were higher than the reference point.  However, the concentration of heavy metals were gradually decreased by time. In comparison with other two areas – Banglamung and Maptaphut, the concentration of Lead in the study area was higher than both areas. However, the mean concentrations of these heavy metals in sediment did not exceed the critical concentrations levels that will affect the organisms and marine ecosystem. Keywords : sediment, heavy metal, Mattapon Shipwreck
Robots now and in the future

Chapter 3 explores the different types of robots available now and likely to be available in the medium term. These include industrial, warehouse and agricultural robots, driverless vehicles, caring and educational robots and security robots. A lot of the work is being done by the military and we also analyse robot soldiers. Finally we turn to modular robots and robot’s close cousins such as bots. In the future, the range of robots is likely to expand and areas that many have argued are beyond robots,such as creativity, are likely to be penetrated.
PENERAPAN DATA MINING DALAM MENENTUKAN PEMBINAAN KOPERASI (STUDI KASUS : DINAS KOPERASI DAN UKM KABUPATEN KOTAWARINGIN TIMUR)

Currently coaching for cooperatives in the East Kotawaringin Regency Government is very necessary because of the existence of newly established cooperatives and those that have long been standing down and slow in the implementation of Annual Member Meetings (RAT). With the number of cooperatives currently the Cooperative Office lacks supervisory human resources, therefore cooperatives need to be taken into account that are prioritized on coaching. One way to dig data is Data Mining using statistical methods using the K-NN algorithm. In this study, the K-NN Algorithm is used in determining the Cooperative that is feasible for the coach. The results obtained from this study were to obtain the results of the classification of cooperatives that deserved coaching with an accuracy of 96.33 percent. Keywords : Coaching, Clasification, K-Nearest Neighbour
MUCH: Priority-based Collaborative Multi-Channel HTTP Adaptive Streaming

HTTP adaptive streaming (HAS) provides an effective means to deploy media streaming applications over today's Internet. A major challenge in developing such an application is how to deal with bandwidth competition among multiple video channels. The client-driven nature of HAS makes it difficult to provide server-side resource management, and the dynamic adaptability of HAS complicates the situation. Therefore, in this paper, we propose a priority-based multichannel collaborative HAS scheme to provide differentiated HAS services among channels. Different from the start-of-the-art client-oriented approaches, the solution refocuses on the server and employs a dynamic HAS request response algorithm on the server side. The algorithm guarantees the pre-allocated bandwidth for each channel by the request management and allows flexible bandwidth occupation among different channels to collaboratively utilize the server bandwidth resources. At the same time, it still obeys the client-driven nature of HAS. The rate adaptation decisions of each client are still made locally to ensure an automatic reactive system. The scheme has been carefully evaluated in both simulation and real-world environments with different client adaptive algorithms. For the evaluation results, compared with its benchmarks, the scheme both achieves the channel-specific priority-based quality assurance and improves the server resource utilization.
Functions in Python

As discussed in the last chapter; when you build an application of any size you will want to break it down into more manageable units; these units can then be worked on separately, tested and maintained separately. One way in which these units can be defined is as Python functions.
NCHLT Siswati Auxiliary Speech Corpus

The corpus contains orthographically transcribed broadband speech in each of South Africa's eleven official languages. Transcriptions are provided in XML format.
Взаимосвязь зависти и мотивации достижения у студентов

The relevance of the research is determined by the dual nature of the phenomenon: whether the envy is the evil, putting destructive impact on the development of the personality, or the trigger, the incentive to self-development, able to enhance the creativity. The article reflects aspects of the envy, its forms, functioning mechanism and interrelationship to achievement motivation in students learning activities. The purpose of the study is to reveal empirically the interrelationship between the components of the envy and achievement motivation among students. The research hypothesis : the envy is linked to achievement motivation. The research objectives : to obtain empirically and examine the results of the relationship between the components of the envy and the achievement motivation. The research methodology . The following diagnostic methods were applied in order to identify the relationship between the envy indicators and achievement motivation: • The T. Beskova’s methodology of the envy of a personality research; • The A. Mehrabian’s achievement motivation diagnostic technique; • The A. Ryan’s and V. Yakunin’s diagnostic technique of students’ learning motivation in modification of N. Badmaeva; • Mathematical-statistical methods applied are as follows: Spearman’s gamma correlation coefficient by using Statistics 10 package. The results of the study . It was revealed that the envy is linked to achievement motivation. The envy-resentment has a positive relationship to the achievement motivation. The envy-gloom has no correlation with the achievement motivation. The envy-gloom interacts with the motifs of prestige in training activities. The practical significance . The results of this research can be used in psychological practice in the form of acmeological consulting and training, aimed at optimizing the conditions associated with the destructive impact of envy on personality. The research perspectives are connected with the development of the methodological means intended for diagnostics.
An Analysis of Korean-English Translation Errors in Google Translate

The purpose of this study is to identify types of errors that occur when using Google Translate and to suggest more effective ways to benefit from machine translation translators. The topics in the 30 news articles dealt with health and diet. The researchers directed the error analysis by comparing the English translation of the original Korean text with the eleven categories and their sub-categories. Among those translated by the Google Translate Program, according to our research, the number of sentences that contained errors was 365 (67.2%) and that of correct sentences was 178 (32.8%). Sentence structure errors, the highest of the eleven categories, recorded 172 (21.31%) cases, followed by nouns with 143 (17.72%), and verbs with 119 (14.75%). The findings emphasize the need to learn how to use machine translators effectively. Finally, Google Translate users need to avoid using complex sentences and vague words when translating Korean text into English.
Image Similarity Searching Use Multi Part Cutting And Grayscale Color Histogram

The use of information technology in everyday life continues to increase so rapidly. This is inseparable from the role of researchers, especially in the field of information technology. Information technology has become a necessity so that it is widely used in the fields of education, trade, livestock and even to the agricultural sector. One of the obstacles that is needed is to check all activities involving information systems, especially when there is data in the form of images. Problems that arise are usually needed by humans to check and sort items that have been carried out by humans. This is the background of this research to help reduce activities involving humans. The process of finding the similarity of images in computer vision can be used in several fields such as education, retail, and other fields. In the field of computer vision education can be utilized for the automatic absence process through face recognition, in terms of retailing, it can be used for sorting through object detection. The process of finding similarities between images that are queries and dataset images will be the subject of research, and the process of calculating similarities between queries and datasets will be discussed step by step. The method used in the search process is by calculating the shortest distance between query images and dataset. The steps taken are the extraction feature and then RGB to gray color conversion. The next stage is to cut the image into four parts which will then be calculated the distance of the ecludian. The final part will calculate the performance of the algorithm using the matrix confusion method, so that the test results are in the form of error rates, precision, and accuracy. The trial process uses 30 data using 1000 datasets. In the test results obtained information in the form of recall of 1, 0.66 accuracy and 0.66precision.Keywords: Image Similarity, Histogram Image Grayscale, Ecludiance Distance.
Assessment Estimation Modeling of the Midpoint Coefficient for Imprecise Data

Imprecise measurement tools produce imprecise data. Interval-valued data is usually used to deal with such imprecision. So interval-valued variables are used in estimation methods. They have recently been modeled by linear regression models. If response variable has any statistical distributions, interval-valued variables are modeled in generalized linear models framework. In this article, we propose a new consistent estimator of a parameter in generalized linear models with regard to distributions of response variable in the exponential family. A simulation study shows that the new estimator is better than others on the basis of particular distributions of response variable. We present optimal properties of the estimators in this research
Irregular pebble mosaics with sub-pebble detail

Pebble mosaics convey images through an irregular tiling of rounded pebbles. Past work used relatively uniform tile sizes. We show how to create detailed representations of input photographs in a pebble mosaic style; we first create pebble shapes through a variant of k-means, then compute sub-pebble detail with textured, two-tone pebbles. We use a custom distance function to ensure that pebble sizes adapt to local detail and orient to local feature directions, for an overall effect of high fidelity to the input photograph despite the constraints of the pebble style.
Moving Average Prediction for Continuous-Time Linear Systems

This paper is concerned with distributed moving average prediction for continuous-time linear stochastic systems with multiple sensors. A distributed fusion with the weighted sum structure is applied to the optimal local moving average predictors. The distributed prediction algorithm represents the optimal linear fusion by weighting matrices under the minimum mean square criterion. The derivation of equations for error cross-covariances between the local predictors is the key of this paper. Example demonstrates effectiveness of the distributed moving average predictor.
AKTIVITAS BERMAIN, PERKEMBANGAN LITERASI AWAL DAN TEMPAT PENITIPAN ANAK (DAYCARE)

The activity of playing a direct or spontaneous activity, where children are involved with other people, objects around them, are fun and can be a learning tool for ongoing children, a process that is carried out continuously domestically and is useful for general child development and on its own basis. Traditional literacy can be translated as the ability to read and write, literacy is the most important element in modern education projects. The United Nations (1990) child care center is child care in groups, usually carried out during working hours. It is not something that cannot be denied and when it is employed, the basis is for those who work. A place to call quality children can be seen from the ratio of the number of children and caregivers will determine the quality of care for early childhood in childcare.
DEVELOPMENT OF INDIA TOWARDS KNOWLEDGEABLE CULTURE

The Government needs confidence that its research, science and technology investments will be rapidly and effectively exploited to make India a knowledgeable culture. This is more likely where sectors demonstrate their strategic thinking about the future through bold and dynamic innovation strategies and the Government is ready to be a partner in such bold and innovative strategies. Constituted a High Level Task Force for the broad areas of relevance cover Information Technology, Telecom Bio-Technology, Drug Design, Financial Services and Enterprise wide Management, Global Networking, Education requirements for developing a learning Society, Vibrant partnership between Government, industry and institutions, Economic and business strategic alliance built on capabilities and opportunities and setting up of an Education Development Finance Corporation for meeting the needs of deserving students. A focus on the knowledge base behind new and improved products, processes, systems and services will ensure that Government investment in science and technology and other core sectors of economy complements the role of private sector investment in generating wealth for India. This goal links to the Government’s aspiration to develop an enterprise economy.
Kick-starting development with practices

The first course in software engineering is the most critical. Education must start from an understanding of the heart of software development, from familiar ground that is common to all software development endeavors. This book is an in-depth introduction to software engineering that uses a systematic, universal kernel to teach the essential elements of all software engineering methods. This kernel, Essence, is a vocabulary for defining methods and practices. Essence was envisioned and originally created by Ivar Jacobson and his colleagues, developed by Software Engineering Method and Theory (SEMAT) and approved by The Object Management Group (OMG) as a standard in 2014. Essence is a practiceindependent framework for thinking and reasoning about the practices we have and the practices we need. Essence establishes a shared and standard understanding of what is at the heart of software development. Essence is agnostic to any particular method, lifecycle independent, programming language independent, concise, scalable, extensible, and formally specified. Essence frees the practices from their method prisons. The first part of the book describes Essence, the essential elements to work with, the essential things to do and the essential competencies you need when developing software. The other three parts describe more and more advanced use cases of Essence. Using real but manageable examples, it covers the fundamentals of Essence and the innovative use of serious games to support software engineering. It also explains how current practices such as user stories, use cases, Scrum, and microservices can be described using Essence, and illustrates how their activities can be represented using the Essence notions of cards and checklists. The fourth part of the book offers a vision how Essence can be scaled to support large, complex systems engineering. Essence is supported by an ecosystem developed and maintained by a community of experienced people worldwide. From this ecosystem, professors and students can select what they need and create their own way of working, thus learning how to create ONE way of working that matches the particular situation and needs.
Experimental evaluation of new navigator of mobile robot using fuzzy Q-learning

In this paper, we propose an approach of fusing the fuzzy control actions of the obstacle avoidance and goal-seeking which utilises fuzzy logic and reinforcement learning for navigation of a mobile robot in unknown environments. The proposed reactive navigator consists of three modules: move to goal, obstacle avoidance, and fuzzy behaviour supervisor. The selection of the actions available in each fuzzy rule is learned through reinforcement learning (Q-learning algorithm). A new and powerful method is used to construct automatically these rules. The experiments carried out on the Pioneer 2P mobile robot have shown that the navigator is able to perform a successful navigation task in various unknown environments with smooth action and exceptionally good robustness.