Reviewerly/exHarmony huggingface dataset:
Saliency detection hybrid information flows based on sub-network cascading

In view of the detail feature loss issue existing in the complex scenario of existing saliency detection algorithms, a fusion method of multi-layer sub-network cascade hybrid information flows is proposed in this paper. We first use the FCNs backbone network to obtain multi-scale features. Through the multi-layer sub-network layering mining to build a cascading network framework, the context information of the characteristic of each level is fully used. The detection and segmentation tasks are processed jointly. Multi-scale features are integrated by hybrid information flows, and more characteristic information with discernment is learned step by step. Finally, the embedded attention mechanism effectively compensates the deep semantic information as a mask, and further distinguishes the foreground and the messy background. Compared with the existing 9 algorithms on the basis of the 6 public datasets, the running speed of the proposed algorithm can reach 20.76 frames and the ex-perimental results are generally optimal on 5 evaluation indicators, even for the challenging new dataset SOC. The proposed method is obviously better than the classic algorithm. Experimental results were improved by 1.96%, 3.53%, 0.94%, and 0.26% for F-measure, weighted F-measure, S-measure, and E-measure, respectively. These experimental results show that the demonstrating the proposed model has higher accuracy and robustness and can be suitable for more complex environments, the proposed framework improves the performance significantly for state-of-the-art models on a series of datasets.
Robust Phase Estimation of Gaussian States in the Presence of Outlier Quantum States

In this paper, we investigate the problem of estimating the phase of a coherent state in the presence of unavoidable noisy quantum states. These unwarranted quantum states are represented by outlier quantum states in this study. We first present a statistical framework of robust statistics in a quantum system to handle outlier quantum states. We then apply the method of M-estimators to suppress untrusted measurement outcomes due to outlier quantum states. Our proposal has the advantage over the classical methods in being systematic, easy to implement, and robust against occurrence of noisy states.
THE EFFECT OF USING GALLERY WALK AS AN ALTERNATIVE TECHNIQUE TO STUDENTS’ ACHIEVEMENT IN SPEAKING

The objective of this research was to find out whether there is a significant effect of using Gallery Walk as an alternative technique to students’ achievement in speaking. This research is a pre-experimental research using one group pre-test post-test design. The sample of the study was 25 students of X MIPA 3 in SMAN Tulakan. The data were collected by means of a speaking test. The result of the sample t-test showed that the mean difference between students’ pre-test and post-test was 5.98, with significance value was 0.05. This result showed that teaching speaking using Gallery Walk as an alternative technique had a significant effect on students’ achievement in speaking. In other words, it can be concluded that teaching speaking using Gallery Walk as an alternative technique significantly improved students’ achievement in speaking.
PEMODELAN WAVELET NEURAL NETWORK UNTUK PREDIKSI NILAI TUKAR RUPIAH TERHADAP DOLAR AS

Each country has its own currency that is used as a tool of exchange rate valid in the transaction process. In the process of transaction between countries often experience problems in terms of payment because of the difference in the value of money prevailing in each country. The price movement of the exchange rate or the value of foreign currencies that fluctuate from time to time it encouraged predictions of the value of the rupiah exchange rate against the U.S. dollar. Wavelet Neural Network (WNN) is a combination of methods between wavelet transforms and Neural networks. WNN modeling begins with wavelet decomposition resulting in wavelet coefficients and scale coefficients. Selection of inputs is based on PACF plots and divides into training data and testing data. To determine the final output by calculating the value of MAPE in data testing. The best architecture on WNN model for prediction of the value of the rupiah exchange rate against the U.S. dollar is a model with sigmoid logistic activation function, 2 neurons in the input layer, 10 neurons in the hidden layer, and 1 neuron in the output layer. The MAPE value is obtained at 0.2221%.
Kajian Penerapan Pendaftaran Calon Siswa Baru Berbasis Mobile Andorid

The development of information and communication technology is rapidly increasing, giving a very big influence for the world of information and telecommunications technology. One of them is used to facilitate the registration of prospective new students. During this time the process of registering new students in various schools is still manual. In this study the author tries to resolve the above problems by utilizing an information system based on Android mobile for the registration system of prospective new students based on Android mobile to increase the effectiveness and flexibility of the school system. In the study of android applications used in the development of systems where new learners can input data through mobile phones. The study was conducted from the stages of needs analysis, design, implementation, to system testing. The purpose of this application is so that it can facilitate prospective new students in registering and the School in conducting and managing new student registration data.
Developing an Interactive HTML5-Based Game for Tenses Learning for Senior High School Students

This research study aims at developing an interactive HTML5-based game to facilitate senior high school students in learning tenses. This research is a research and development study. The development of the game is carried out through several steps, which are needs analysis, outline of materials design, product development, expert judgement, product revision, and final product development. The result of this study is a web-based game titled The Time Traveller. Based on the results of expert judgement, the game is appropriate for senior high school students based on the mean scores of 3.52, which is in the range of 3.25 ≤ x ≤ 4 and falls into the category of “Very Good.”
Visual Secret Sharing Scheme for Digital Image Watermarking

Traditional visual secret sharing (VSS) strategies hide secret imagesin shares that are either imprinted on trans-parencies or are encoded and put away in a digital form.The shares can appear as noise-like pixels or as significant pictures; but it will arouse suspicion and increase interception risk during transmission of the shares.Subsequently, VSS schema experience from a transmission risk problem for the secret itself and for the members who are associated with the VSS conspire.To address this issue, proposed a advanced technique for advanced digital watermarking using a texture and also a natural-imagebased VSS scheme (VSS scheme) that shares secret images via various carrier media to protect the secret and the participants during the transmission phase.Devise the texture synthesis process into digital image to hide secret messages.In comparison to using an existing cover image to hide messages, our algorithm hides the source texture image and embeds secret messages through the process of watermarking.The regular offers can be photographs or hand-painted pictures in computerized structure or in printed structure.We likewise propose potential approaches to conceal the key to diminish the transmission chance issue for the offer.Test results demonstrate that the proposed approach is an amazing answer for taking care of the transmission chance issue for the VSS technique.
African Imagination of Technology: Examples of Kikuyu and Luhya communities in Kenya

Community and environmental sustainability are a global concern that calls for the civilised, the professional practitioners, the creative thinkers, and the future world to participate in providing, creating and establishing a sustainable environment.This study aims at stimulating and informing the discussion on the concept of community and environmental sustainability, as well as on how technology has influenced it.It explores African concepts of environmental sustainability with relevant examples from the Kikuyu and the Luhya communities in Kenya.The chapter highlights an African imagination of community and its role in the conservation of natural resources, and the creation of sustainable economic conditions for African communities.A survey was conducted in Roysambu, a small village in Nairobi, Kenya.The study picked a sample of 150 respondents in the area, who were selected using random sampling.One stipulation in this selection was that each of the members of the study sample was either from the Kikuyu or Luhya communities.The study also adopted the diffusion of innovation theory, which explains that over a duration of time, an innovation or idea is adopted by users and spreads in a given social system or population (Rogers, 1983).The study established that it is important for communities to live according to their traditions and values despite the intense technological wave, with the support from the government, in order to create a balance between traditional ways and the technological ways of establishing a sustainable environment.
Activity Monitoring and Unusual Activity Detection for Elderly Homes

The number of older people in different countries are constantly increasing. Most of this people prefer to live independently. Falls may lead to serious injuries and may even cause death of people. As a solution to this problem it is essential to develop a fall detection system. The objective of this project is to identify and detect unusual activity for an elderly person. Individuals spend the majority of their time in their home or workplace and many feels that these places are their sanctuaries. The information about the person is stored in a database. So in an emergency situation the neighbor can go through the details of the affected person and he/she can refer all the details about the affected person. A camera is continuously capturing the video of the bedridden person. Machine learning techniques use the information to identify and reason about normal behavior in terms of recognized and forecasted activities. Once the abnormal behavior is identified as a threat, a message is sent to the neighbor or corresponding authorities. In most emergency cases, the elderly patient seek in-patient care, which is very expensive and can be a serious financial burden on the patient if the hospital stay is prolonged, and it won’t be affordable for everyone. The proposed work allows people to remain in their comfortable home environment rather than inexpensive and limited nursing homes or hospitals, ensuring maximum independence to the occupants. Therefore, an affordable and comprehensive healthcare solution with minimal workforce have much importance for longterm health management and population. We make use of Artificial Intelligence, Machine Learning, and computer vision
Principi del «flipped learning» per lo sviluppo dell’interazione orale a livello B1 in italiano come lingua straniera

The paper first brings an overview of spoken interaction in FL and flipped learning principles. This overview is followed by a thorough didactic report on how these two processes can be merged, how teaching materials can be prepared, and how the teaching and learning process can be systematically developed in order to extensively support learners’ efforts to speak at level B1 in Italian as a FL. Both positive and less positive aspects of a one-semester project are discussed. Finally, some conclusive glotodidactic implications stemming from the experience are proposed.
Potenzialità glottodidattiche della comunicazione pubblicitaria

The aim of the present article is to shed the light on educational aspects which can be obtained by the exploration of an authentic, advertising material. The analysis attempts to demonstrate how communicative and linguistic characteristics, argumentative patterns, rhetorical figures and cultural aspects, which constitute the complex structure which is advertising message, convey values, stereotypes, social and linguistic tendencies. All of the above are conceived in order to complete the goals of persuasion. For the teacher, it is a rich, authentic and precious resource which gives the student the opportunity to extend his abilities and skills, to face and approach a new, linguistic and cultural context.
Theoretical Study of Reform and Innovate the Development of National Model Higher Vocational Education

Return to "harmony" is the common tendency of educational reform all over the world.Harmony is a kind of highest beauty, and the education reform should advance the harmonious campus.Today, higher vocational education is popular, the students of vocational education should be trained both mental and physical skill.But also to be able to get involved in practice.They could grow up to skilled talent rapidly, so higher vocational education reform is imminent, the paper analyses the current situation and puts forward specific advice of strengthening "harmony" education and promoting the sustained development of the model higher vocational education in our country.
6.7 Job Process Architecture Based On PostgreSQL Database

The purpose of this paper is to show an integrated Job Process architecture that allows executing heavy jobs that can be parallelized at process level without the need to use complete Big Data Architecture.This solution can be seamlessly integrated into any Data Centre, be it in a Linux or Windows environment.PostgreSQL is shown as the system to coordinate the workflow of execution of these processes.
Context Reasoning and Decision Modelling System for IoT Scenario using Fuzzy Logic

The Internet of Things is great technology of having a self aware system based on the sensor, networking devices, embedded software's, and many more.Using these technologies, various things or objects in the environment can be controlled and monitored.The various IOT devices can be communicate with each other.These devices may wire or wireless with applying sufficient constrained.In last few decade the IOT become grow tremendously and there is huge amount of research, development and integration still remain in many areas of society.Many of the researchers have to develop a significant amount of IOT system to become a cost effective, efficient, and safe.Sensors in IoT generate large amount of data continuously and however to add some values in raw data required for understanding.In order to effective services of IoiT must be understand of user's context such as location, position, current situation, expression, social context, task etc. Context-aware system has proven to be successful in understanding sensor data.This research work focused on context-aware in IoT environments to provide contextualised information services.The goal is to present the contextualization that must be used in the IoT context-aware systems to provide information services.In this, context can be defined with the different parameters such as location, timing, activity.Also, this work presents the implementation of the context-aware secure routing approach to a system and also defines the architecture of the secure routing between the nodes.
I verbi di servizio (modali, aspettuali e causativi) e i verbi supporto nelle grammatiche descrittive d’italiano dal 1953 al 2005

The paper deals with Italian helping verbs (modal, aspectual, causative verbs) and light verbs which form complex predicates and with the rules that guide its use in Italian descriptive grammars published in Italy between 1953 and 2005. The author shows that those forms in both – traditional and contemporary Italian descriptive grammars are treated at the level of word classes whereas it could be more appropriate to discuss them as clause elements as they form complex predicates. In our opinion this way of describing such verbs is due to the tradition in Italy to focus on a form and not on function of an element. What is more, Italian grammarians tend to omit in Italian descriptive grammars noun predicationand the role of semantic predicate (n pred.). The goal of the paper is to present the advantages of an integrated approach to helping verbs (modal, aspectual, causative verbs) and light verbs in modern Italian. The author emphasizes its importance for contemporary Italian FL syntax teaching.
MPLEMENTASI MODEL PEMBELAJARAN THINK PAIR SHARE PADA MATA PELAJARAN SEJARAH DI KELAS XI IPS 1 SMA NEGERI 1 TORUE

The formulation of the problem in this article are (1) How is the implementation of the Think Pair Share learning modelin history subjects in class XI IPS 1 of SMA Negeri 1 Torue ?. (2) What are the obstacles faced by teachers inimplementing Think Pair Share learning models in history subjects in class XI IPS 1 of SMA Negeri 1 Torue? Thepurpose of this article is (1) to explain the implementation of Think Pair Share learning models in history subjects inclass XI IPS 1 of SMA Negeri 1 Torue. (2) explain the obstacles faced by teachers in implementing Think Pair Sharelearning models in history subjects in class XI IPS 1 of SMA Negeri 1 Torue. This article is a qualitative research. Datacollection techniques used were observation, interview, and documentation techniques. Based on the results of the studyshowed that the implementation of the Think Pair Share method in history subjects in class XI IPS 1 of SMA Negeri 1Torue went well. The initial step in implementing this learning model is the Think stage: giving a problem to studentsthen giving some time to think, the next step is the Pair stage: forming students into groups each consisting of twostudents (classmates) , the final step is Share: students present the results of their discussion to the front of the class.Think Pair Share learning model makes students more active in asking questions and doing the assignments given bythe teacher, besides that students become more confident because they are trained to explain the results of the discussionin front of the class. The obstacles faced by the teacher in implementing Think Pair Share learning models in historysubjects are (a) Limited time which causes the teacher difficulty in guiding students more individually, besides the timefor presentations in front of the class takes longer because the student groups are formed more. (b) There is a passivepartner, only one person doing the task so they are not paired in solving problems but copy the answers from theirpartners. (c) The number of students in one class is an odd number, so that there is only one person left without apartner
Mobile Learning Readiness Among Students Of Maldives Higher Education Institutions

Mobile learning and connecting development and trends are widely discussed globally. Literature evidences exist confirming mobile learning and its impact on higher education. Mobile learning opportunities can be one option for higher education institutions to reach a dispersed population of the Maldives. Although readiness of mobile learning has been analysed in several counties and contexts, this contributes as the first research on this subject in the Maldives. Therefore this article is intended to find out students' readiness for mobile learning (mLearning) in the higher education institutes of Maldives. Basic readiness and mobile usage readiness of students from three different higher education institutions contributed to the research. A total of 343 institutional students enrolled in flexible delivery programs responded to the online questionnaire survey. Considering the level of programs, cluster sampling technique was used in shaping the sample of the research. Data was analysed using descriptive statistics and SPSS to interpret the findings on student readiness for mobile learning. The findings indicated that the students were confident in using mobile and other mobile devices in daily activities. Also, findings indicated that majority of students were confident with the basic and advanced mobile skills of mobile learning.
Improving the speaking learning process to the students of grade VIII through games

This study was aimed at improving the speaking learning process to the students of grade VIII at SMPN 3 Cilacap through games in the academic year of 2013/2014. This classroom action research was carried out in two cycles. The cyclical design consisted of four main steps: (1) planning, (2) action, (3) observation, and (4) reflection. Various games with some supporting activities were implemented in this study. The data were gathered through observations, interview, rating, video/audio recording, and performance tests. The data were analyzed using the interactive qualitative data analysis and descriptive statistics. The findings show that games which are set up properly involved preliminary activities, game play and closure, together with some supporting activities are able to improve the speaking learning process. The implementation of games is effective to lessen the interference of the native language, lessen the students’ domination in the class, encourage the students’ initiation to speak English, give the students plenty of opportunities to speak as often as possible and encourage the students to focus on fluency rather than accuracy, encourage the students’ confidence, and increase the students’ involvement in the learning process. These improvements lead to the improvements of the students’ speaking skills. The students’ average score in performance test before implementing the actions is 63,39 while after implementing the actions is 81,64. It shows that it increases about 28,77%. It can be inferred that the students’ speaking skills improved after the implementation of the games.
Color and cross diagonal symmetric pair co-occurrence matrix

Objectives:The main goal of this study is to derive an efficient feature vector to capture both the color and texture information.This makes the proposed descriptor as a multipurpose descriptor.Methodology: This study derived color information by combining the individual histograms of H, S and V plane.A texture descriptor is derived by considering the relationship: i) between pairs of symmetric cross pixels and ii) between pairs of symmetric diagonal pixels of the 3 x 3 neighborhood.The relationship is derived using XOR and AND logical functions.Findings: This study derived a unique six bit code and constructed a co-occurrence matrix.The GLCM features are derived on this.To reduce the complexity, this study also derived another descriptor by indexing the six bit code using the rotational invariant property.Novelty: The proposed color and texture descriptors give better results, and a significant improvement is achieved in this study by concatenating these two descriptors for CBIR.
Generalizability Theory:Demonstrating the Process and its Utility with EEG Measurements

Background:The purpose of this study is to demonstrate the utility of generalizability theory in assessing the reliability of EEG data.Generalizability theory and its relevance for measurement are described, followed by the steps to consider and decisions to be made when conducting a generalizability analysis.Methods: Using an actual data set, how to conduct generalizability and decision analyses using IBM ® SPSS ® are outlined.Specifically, the beta frequency data collected from the C1 electrode from 16 participants across 60 trials and 2 time periods as they moved their right leg in a stepping motion are used for the demonstration.Data analysis decisions such as number and type of facet, relative versus absolute G-coefficients, follow-up decision-study information, data set-up and analytic commands are all described in detail.Results: Outputs from the analyses are discussed in terms of their meaning and implications.These include the reliability of each facet, variance accounted for and best next steps for improving data reliability.Conclusion: Advantages of using the generalizability model are discussed as well as suggestions of various generalizability programs available for use.