Reviewerly/exHarmony huggingface dataset:
MULTIMODAL ANALYSIS ON SHOP SIGNS IN BANDA ACEH

This study is aimed at discovering the connotation and denotation that can be interpreted in shop signs found in Banda Aceh. Additionally, it also sought for the visuality, spatiality, and gestures that can be interpreted in shop sign found in Banda Aceh. This study used the qualitative approach in carrying out the research process which is the critical discourse analysis. The subject of this study was the shop signs that can be found in Banda Aceh while the object of this study is all the texts, pictures, and symbols in the signs. The data collection was done by taking pictures of the shop signs. The data analysis was carried out by using coding analysis and a three-step analysis. The results show that the denotation found in the shop signs are mostly the shop name, pictures, and philosophical symbols. Concerning to connotation, most meanings carried out in the shop signs are culturally interpreted. Moreover, concerning the visuality, the color used depends on the shop types whether it is black and white to highlight classiness and youthfulness, colorful colors for baby shops, and appetizing colors for the desert shop. In regards to the spatiality, most of the important information is placed on the left and the center part of the board sign. This is in order to ease information recognition. Last, the gestures are rarely used in the shop sign. It was only found in a coffee shop which is the steaming coffee cup, flying balloon in baby shops.
Anthropomorphosis: The “Howl” of Man’s Clones

This paper argues that we are all cloners. Bound by our innate predisposition to process the world around us in symbols, we clone our own image onto everything else, and experience the universe on those human terms, in a referential comprehension known as anthropomorphosis. Anthropomorphosis is a reference, a cloning process that structures how we think about ourselves and the surrounding world. The source experience is substituted for a host of ideals, forming the category of Man. The label of Man proves incomplete for the infinitude of human existence, and the naming process enacts a separation that enables exclusion from the category of human, which translates into disposability. Allen Ginsberg’s poem, “Howl,” illustrates the complex struggles that are driven by this separation, an endeavor antitheticalto anthropomorphosis. The experiential and participatory essence of human experience, acknowledged even by recent developments in quantum physics, suggests a reimagination of anthropomorphosis.
The EFL Learner’s Perspectives About Accuracy, Fluency, and Complexity in Daily Routines

Abstract The significant care and the globalization of English have been caused broad demand for good English-speaking skills in various realms. The aim of this research is getting to know what people think accuracy, fluency and complexity when they are speaking or writing in English. Many students think too much of grammatical-error and they need to remember all tenses so they can practice English. Students need motivation from their-selves before they learn English; moreover, English as foreign language, students will study English as they must pass their subject in school. In addition, the present paper aimed to know the people perception of accuracy, fluency and complexity in written and spoken English. The researchers use qualitative research method and open questions for questionnaire. The study data is collected from 10 students of English Education department in Tidar University. Therefore, 50% students chose fluency, 30% students chose accuracy, and 20% chose complexity. The result of this research, students chose fluency because by mastering fluency in speaking, students can correct them in grammatical structure by the time. As one respondent said that fluent in English is basic and it is better if we fluent then accurate by correcting their grammatical structure. In the end, the researchers knew that students prefer fluent then accurate so they can complex in English. Keywords : Learning English, accuracy, fluency, complexity
Introduction to the thematic collection: Exploration Geochemistry at Exploration 17 October 21–25, 2017, Toronto

Thematic collection: This article is part of the Exploration 17 collection available at: https://www.lyellcollection.org/cc/exploration-17
Evaluation of Content Based Image Retrieval Technique Using an Efficient Hybrid Model

Due to vast enhancement in the field of visual technology, there are various sets of images. In order to reduce the complexity in retrieval of relevant images CBIR (Content Based Image Retrieval) technique can be used. CBIR using only color feature does not result in required output. So in this paper we introduced the concept of hybrid model which deals with color, texture along with shape features which gives an efficient output. A set of images are used to test the accuracy and the precision of each methods. Using Euclidean distance and Manhattan distance, similarity between query image and all the other images in database are calculated. Then the calculated distance values are arranged in ascending order. Based on this required images are retrieved. Experiment results shows that Hybrid model method had high accuracy and precise output compared to Color Histogram. Future work will be made to add one more feature (shape features) in order to get better results.
The Management Of Security For Text Document Protection Using Various Algorithms

In the recent digital world, information security has become an important issue. Due to the advanced technology different ways are used to copy, redistribute and store the digital contents easily. The authentication of the original owner and copyright protection of data is a challenging task. Digital watermarking provides a solution for digital contents copyright protection and ownership verification. A secret message is placed inside a digital content without compromising valuable data. This secret information is used later for ownership identification, Secure Hash Algorithms, also known as SHA, are a family of cryptographic functions designed to keep data secured. It works by transforming the data using a hash function: an algorithm that consists of bitwise operations, modular additions, and compression functions, in our project we are going use the SHA for file downloading from Cloud by using Key. We can consider key as a security purpose, if user key gets match than only download functionality works otherwise use cannot download the available file from cloud.
Computação quântica baseada em medidas

Quantum computing allows the realization of certain tasks more efficiently than its classical counterpart. This monograph seeks to present a type of quantum computation that is different from the standard form: Measurement-Based Quantum Computation, more specifically a model known as One-Way Quantum Computation (1WQC), developed by R. Raussendorf and H. Briegel. To understand it, this work starts from the circuit model, the most common type of quantum computing, describing its main components. The 1WQC model is then introduced, with an attempt to didactically present its operation. A way of applying one- and two-qubit quantum logic gates is also shown, thus explaining how universal quantum computing is possible in this model. As an example, the translation of Deutsch’s algorithm to this model is also discussed. The result of this operation raises, however, open questions concerning the translation of Oracle-type algorithms, such as Deutsch’s, to the 1WQC model
Improvements of short-term solar radiation forecasting techniques based on satellite and sky-camera imagery

espanolLas fuentes de energia dependientes de la meteorologia generan variabilidad en la produccion electrica, que dificulta su integracion en la red. La prediccion del recurso ayuda a anticipar acciones de contingencia para gestionar esta variabilidad. En esta tesis se estudian mejoras en los metodos de prediccion a corto y muy corto plazo del recurso solar, particularmente, en aquellos basados en imagenes de camara de nubes y satelite. Esta tesis incluye: 1) la descripcion detallada e implementacion de metodos del estado del arte de prediccion de radiacion solar a corto plazo, 2) la utilizacion de la camara de nubes como clasificador automatico del tipo de nube, 3) un analisis de los patrones de tiempo asociados a diversos modos de variabilidad solar, 4) un analisis comparativo de varios metodos de prediccion de radiacion solar a corto plazo, y 5) la propuesta y valoracion de modelos combinados elaborados con tecnicas de machine learning. EnglishThe energy resources dependant of weather generate energy production varibility, which difficult its integration into the electricity grid. The prediction of resources aims at anticipating contingency actions in order to manage this variability. In this thesis, improvements in nowcasting and short-term solar forecasting methods are studied, particularly, those based on sky-camera and satellite imagery. This thesis includes: 1) the detailed description and development of state-of-the-art solar radiation forecasting methods, 2) the use of sky-camera as automatic cloud type classificator, 3) an analysis of weather patterns associated to several modes of solar variability, 4) a comparative analysis of several short-term solar radiation forecasting methods, and 5) the proposal and assessment of blending models computed through machine learning techniques.
Haemogram and Serum Biochemical Values of Four Indigenous Species of Monkeys in South West Nigeria.

Haematological and serum biochemical values are useful guides and biomarkers in health and diseases for reaching a diagnosis, estimating disease prognosis and monitoring treatment progress, in mammals. Reference ranges for some parameters differ among species of mammals and between sexes within a species. There is dearth of information on standard reference value for blood parameters for Nigerian indigenous monkeys. Whole blood and serum samples obtained from 50 apparently healthy adult monkeys in both captivity and from the wild in southwest Nigeria were subjected to haematology and serum biochemistry to obtain preliminary reference values for haematological and serum biochemical analytes for Cercocebus sebaeus (Green monkey), Cercopithecus mona (Mona monkey), Erythrocebus patas (Patas monkey) and Papio anubis (Anubis baboon). Numerical data were summarized as mean and standard deviation and subjected to statistical analysis; Student t test and analysis of variance, to compare values of blood parameters obtained between species and gender. A p-value less than 0.05 was considered significant. The hematocrit of male animals were significantly higher than that of females (P=0.01) in all the 4 species studied but there was no significant difference in other blood parameters such as total white blood cell and the differential counts, platelet count, serum aspartate transferase, alanine transferase, alkaline phosphatase, total plasma protein, albumin, and globulin concentrations between the sexes. Generally, there was no significant difference between total white blood cell and the differential counts, hematocrit, red cell count, haemoglobin concentration, platelet count, serum aspartate transferase, alanine transferase, alkaline phosphatase, total plasma protein, albumin, and globulin concentrations among the monkey species.
DEPLOYMENT STRATEGIES FOR WIRELESS SENSOR NETWORK OVER CLOUD

Wireless Sensor Network and CloudComputing has become the cutting edge technologies, more attention has been paid to the further development due to ubiquitous sensing and communication devices that would soon be integrated into our daily life, to provide information and convenience wherever and whenever we need.These two paradigms have many challenges like it demands scalable architecture along with energy efficient algorithm to ensure good Quality of service.The data which extracted from Wireless Sensor Network is not utilized adequately due to the lack of expertise, time and money.Prospective can help the data to be explored and stored for better use in future.In my research, I will present a survey that how the valuable data of wireless sensor can be more efficiently and widely used by different applications when it is integrated with cloud computing.I will highlight its key concepts, state-of-the-art implementation, data analysis, security measures, architectural principles as well as research challenges.The aim of my research is to provide a better understanding of the design challenges & Deploying strategies of wireless sensor network over cloud and identify important research directions and future enhancements.I.
High Accurate Crack Reconstruction Based on an Improved Discontinuous Digital Image Correlation: Subset Restore and Adaptation Method

Digital image correlation (DIC) is an efficient nondestructive technique for measuring surface displacement in engineering. However, standard DIC is restricted to continuous deformation, and the existing discontinuous DIC (DDIC) techniques are only able to measure small-scale cracks. In this report, a novel subset restore model and a corresponding subset size adaptation algorithm are presented to overcome this limitation for crack-state and displacement field reconstruction for large-scale cracks. The technique introduces a new subset restore method for splicing the segmented subset by tracing the motion trajectory caused by pure discontinuities. The proposed model facilitates the calculation of the rotation angle and the pivot of the subset movement. The subset size adaptation algorithm is designed based on an evaluation of the intensity gradient and correlation coefficient to allow the model to achieve high accuracy. Validation of the approach was performed using two typical crack models, by deforming a numerically synthesized Gaussian speckle image according to the deformation data from finite element analysis (FEA) results and photographing a laboratory tensile test with a high-speed CCD camera, respectively. The results validate the efficacy and high accuracy of the proposed approach compared to standard DIC in the reconstruction of the displacement fields in both continuous and discontinuous regions. The accuracy of resultant displacement reconstruction achieves approximately 0.015 pixels and 0.05 pixels in continuous region and crack vicinity, respectively.
Local and global features fusion to estimate expression invariant human age

Human beings can easily estimate the age or age group of a person from a facial image where as this capability is not prominent in machines. This problem becomes more complex due to presence of different facial expressions and age progression. In this paper, we introduced a novel method for age prediction using combination of local and global features. After detecting the face from image, we partition the facial image in 16 * 16 non-overlapping blocks and apply grey-level co-occurrence matrix (GLCM) on these blocks. After calculating four facial parts (eyes, forehead, left cheek and right cheek) from facial image, features from second local feature Gabor filter are obtained. Histogram of oriented gradients has been used as a global feature for feature extraction from complete face image. Experimental results show that fusion of local and global features perform better than existing approaches and reported 6.31 years mean absolute error (MAE) on PAL dataset.
Meningkatkan Kemampuan Bicara Berbahasa Inggris Mahasiswa Dalam Mendeskripsikan Suatu Kegiatan Dengan Menggunakan Model Pembelajaran Presentation Practice Produce (PPP)

The purpose of this study is to answer the problem of how to improve the English speaking ability of students who are not majoring in English at the University of Karawang Buana Struggle in general and in class in particular. specifically this study has a goal, namely: 1. Knowing the factors that affect students' ability to speak English. 2. Knowing the effectiveness of the application of learning, presentation, practice and produce learning models in improving students' speaking skills in English? 3. Knowing whether the application of the learning model of presentation, practice, produce can improve students' speaking skills in describing something using English. The research method used is descriptive qualitative. The steps taken in this study; 1. Determine the sample of the population (affordable), students who are not majoring in English at the University of Karawang Buana Struggle. 2. The predetermined sample is given a pre-test of speaking ability to find out their initial ability (they are asked to tell an object based on the picture given). 3. After the pre-test results are obtained, learning is done using the presentation practice produce (PPP) method. 4. Then the test is done to see the learning outcomes using the method.
A Survey on Technological Terms Used in The technology Units of Practical Arts Textbooks of Elementary School in 2015 Revised National Curriculum

이 연구는 2015 개정 교육과정의 실과 교과서의 내용 진술에 사용된 기술 용어를 분석하기 위해 수행되었다. 이를 위해 2019년도에 출판된 실과 5, 6학년 6개 출판사의 수송 단원, 소프트웨어 단원, 발명과 로봇 단원을 분석하였다. 이 연구를 통하여 얻은 결론은 다음과 같다. 첫째, 5학년 수송 기술 단원의 기술 용어의 수는 197개, 6학년 소프트웨어 단원에 수록된 기술 용어의 수는 192개였으며, 6학년 발명과 로봇 단원에 수록된 기술 용어의 수는 290개였다. 둘째, 5학년 수송 기술 단원의 기술 용어 197개 중에서 사물 용어의 수는 179개였으며, 비사물 용어의 수는 18개였다. 6학년 소프트웨어 단원의 기술 용어 192개 중에서 사물 용어의 수는 43개였으며, 비사물 용어의 수는 149개였다. 6학년 발명과 로봇 단원의 기술 용어 총 290개 중에서 사물 용어의 수는 191개였으며, 비사물 용어의 수는 99개였다. 셋째, 6개 출판사 교과서의 5학년 수송 기술 단원의 기술 용어 총 197개 중에서 한글 어원의 기술 용어는 1개, 한자는 106개, 영어는 77개, 혼합어는 13개였다. 6학년 소프트웨어 단원의 기술 용어 192개 중에서 한글 어원은 4개, 한자 어원은 58개, 영어 어원은 84개 혼합어는 46개였다. 6학년 발명과 로봇 단원의 총 기술 용어 290개 중에서 한글 어원은 12개, 한자 어원은 108개, 영어 어원은 55개 혼합어는 115개였다.This study was conducted to investigate the number of technological terms in Practical Arts textbooks of elementary school which were published according to the revision of national curriculum in 2015. Each six textbook of Practical Arts for fifth and sixth graders which were published according to 2015 National Curriculum revision were used to invest the numbers. The results of this study are as followings: First, the number of technological terms in the “Transportation” unit was 197, the number in the “Software” unit was 192, and the number in the “Invention and Robotics” unit was 290. Second, the number of technological terms with names of object in “Transportation” unit for fifth graders was 179 and the number of the terms with names of non-object is 18. In the case of “Software” unit, the number of technological terms with names of object was 43 and the number of the terms with names of non-object is 149. And in the case of “Invention and Robotics” unit, the number of technological terms with names of object was 191 and the number of the terms with names of non-object is 99. Third, the number of technological terms originated in Korean in the “Transformation” unit was only one, that in Chinese is 106, that in English is 77, and that in mixed origination is 13. In the case of “Software” unit, the number of technological terms originated in Korean was 4, that of Chinese is 58, that of English is 84, and that of mixed origination is 46. And in the case of “Invention and Robotics” unit, the number of technological terms originated in Korean was 12, that in Chinese is 108, that in English is 55, and that in mixed origination is 115.
Availability Incidents in the Telecommunication Domain: A Literature Review

Non-availability incidents in public telecom services may have a wide-spread impact, such as disruption of internet services, mobile services, and land-line communication. This, in turn, may disrupt the life of consumers and citizens, and the provision of services by commercial and public organizations. These incidents are always analyzed and solved by the provider. In Europe, there is a legal obligation to report the analysis and solution of the incident to the national telecom regulator. However, these reports are highly confidential, and beyond some elementary descriptive statistics, they are not analyzed. This means that a significant opportunity is missed to draw lessons from these incidents, which could be valuable to other providers and to standardization bodies. In the LINC project, we aim to develop a method to draw lessons learned from registered non-availability incidents without compromising the confidentiality of those registrations. As a preparation for that, we have conducted a systematic literature review of non-availability incidents in public telecom services reported in the scientific and professional literature, to see what we can learn from the reported incident model and analysis methods used. In this report, we present an incident analysis taxonomy to establish a common terminological ground among researchers and practitioners.
PLACE AND ROLE OF NON-ACADEMIC EDUCATION IN THE SUBJECT FIELD OF PHILOSOPHY OF EDUCATION

Growing problem of inconsistency of the academic system of education with the new needs of society and individual, lack of existing structures of education contribute to the emergence of a different approach for the organization of educational activities, which is non-academic. As a philosophical phenomenon, it fully complies with the students' diverse interests and possibilities. Nonacademic education functions outside the academic education, free from strict rules and regulations, it focuses on specific educational requests of different social, professional, demographic groups.
BIOMETRIC VOTING MACHINE USING ARDUINO

: Electronic Voting Machine (EVM) is a very innovative system which enables in efficient voting operation. But the disadvantage of the existing EVM’s is that there is no way to authorize the voter. Generally human body characteristic like DNA, fingerprints, voice patterns and hand measurements are used for authentication purpose. This information is stored, recorded and processed the above information as a digital information. In this project we are using fingerprint scanner for authentication purpose and the scanner is integrated with Arduino UNO and LCD display. Such system allows the concept of authorization and can check for eligibility and also avoid false votes. By doing this we can also reduce the polling time and can also increase the polling percentage.
Renormalized Mutual Information for Extraction of Continuous Features.

We derive a well-defined renormalized version of mutual information that allows to estimate the dependence between continuous random variables in the important case when one is deterministically dependent on the other. This is the situation relevant for feature extraction, where the goal is to produce a low-dimensional effective description of a high-dimensional system. Our approach enables the discovery of collective variables in physical systems, thus adding to the toolbox of artificial scientific discovery, while also aiding the analysis of information flow in artificial neural networks.