Reviewerly/exHarmony huggingface dataset:
Secure Boolean Queries over Encrypted Data from Indistinguishability Obfuscation

Searchable symmetric encryption (SSE) is a practical technique that allows a client to outsource her encrypted files while maintaining an efficient and secure keyword search ability to authorized clients. To support multi-keyword or Boolean search capability, most of the existing SSE designs inevitably reveal the intermediate single keyword search result to the remote server. Such unintended leakage could be abused to infer the valuable information of the encrypted dataset. In order to hide this kind of intermediate search result (even in some private manners), two promising directions could be adopted, one is a hardware-assisted technology, e.g., Intel SGX, and the other is a software-based approach, e.g., indistinguishability obfuscation (iO). Here, we focus on the iO approach and devise a highly-scalable SSE design for supporting Boolean queries without revealing its single keyword search results. To show the advantages of our proposed design, we conduct a theoretical comparison between some related SSE protocols and ours in terms of storage and computation costs.
Developing Desktop Applications

Apache NetBeans has long support in developing desktop applications. By desktop applications, we mean applications that do not require a web or application server (even though one can be used in the back end), are installed in the user’s machine, and provide a richer Graphical User Interface (GUI) than the browser.
Optimization of the OSVOS model

We solve the problem of video object segmentation by investigating how to expand the role of convolution in convolutional neural networks. Based on the One-Shot Video Object Segmentation (OSVOS) which can successfully tackle the task of semi-supervised video object segmentation, we introduce U-shape architecture. We first build a Global Guidance Module (GGM) on the bottom-up path to provide location information of potentially significant objects for layers of different feature levels. Then we design a Multi-scale Convolution Module (MCM) to fully get feature information and a Feature Fusion Module (FFM) to make the coarse-level semantic information well fused with the finelevel features from the top-down pathway. GGM and FFM allow the high-level semantic features to be progressively refined, yielding detail enriched segmentation maps. The experimental results on DAVIS 2016 data set shows that our proposed approach can more accurately locate the segmentation objects with sharpened details and our model has improved on all indicators than OSVOS.
Identification and Validation of CRM Factors on Customer Satisfaction and Loyalty in the Mid-Market Segments of the Hotel Industry

Due to fierce competition in the hotel sector, it is essential to initiate and manage long-term and strong relationship to ensure customer satisfaction.The importance of customer relationship is very well identified and accepted by many leading hotel organisations, especially in the global competitive market.Some of the critical CRM elements considered and measured in this study are behaviour of the employees, hospitality management, service quality and relationship management.The hotel business organisation that wish to offer top quality service and gain competitive edge over others, application and implementation of Customer Relationship Management (CRM) programme provides a valuable opportunity to improve satisfaction and loyalty by increasing customer value.This paper examined the effectiveness of customer relationship management (CRM) elements on customer satisfaction and loyalty.This paper is also to make a framework conceptual model to review identification of factors that analyse the relationship of the customer satisfaction and loyalty through CRM variables by anticipating their expectations and taking course of action within their ability to satisfy needs.
Effect of Health Lecture using Media and Peer-Education on Long Acting and Permanent Methods of Contraception

Introduction: Long-acting and permanent methods of contraception (LAPMs) are known as highly-effective contraception. The Department of Health of East Java Province stated that LAPM participation is still below target. One of the factors is the Interpersonal Communication (IPC) skill of the Health Practitioners. This study aimed to identify the influence of health lectures using media and peer-education on the knowledge and attitude of pregnant women regarding LAPMs. Peer-education is the novelty of this study.Methods: A two-group quasi experimental design was applied with all of the pregnant women at Kesugihan Public Health Center (PHC) as the treatment group. They were given lectures with media inclusion (contraception booklets and visual aids) and peer-education during a pregnancy class. Pregnant women at Ngebel PHC were the control group. One woman who had experience with LAMPs was trained as a peer-educator. Thirty participants in each group were chosen using the total sampling technique. The data collected was analyzed using univariate and bivariate analyses by applying the Wilcoxon Signed-Rank and Mann-Whitney tests.Results: The participants showed an increased knowledge before and after the intervention in the treatment group (83%), while in control group, it was slightly increased (1%). Attitude differences were also found in both groups (treatment = 56.7%, control = 13.3%). The Mann-Whitney test resulted in significant differences on knowledge (p &lt;0.001) and attitude (p = 0.016) between the two groups.Conclusion: The local department of health may optimize IPC using media and peer-education to improve the knowledge and attitude of pregnant women regarding LAPM participation.
Estimation of competences of short-term and long-term planning in the structure of the activity of the teacher of higher school

The analysis of the professional activity of a teacher of higher education can be carried out in several aspects: by assessing the content of the activity, overall effectiveness, the nature of the tasks to be solved, etc. However, for the performance of work functions the most appropriate will be a competency analysis of professional activity. The authors assessed the expressiveness of the competencies of short-term, medium-term and long-term planning by teachers of higher education, taking into account the duration of the educational activity. A low and medium level of expression of these competencies was revealed, regardless of the duration of the pedagogical activity, as well as the absence of an actual increase in the volume of competence with the duration of the pedagogical activity over 5 years, which is evidence of staff stagnation. The findings can be the basis for organizing professional development programs for teachers in relevant aspects of their activities in order to improve their planning competencies.
Pemanfaatan Sistem Cloud Accounting untuk Training Online WBAS Jurusan Akuntansi Pada Universitas Raharja

The progress of globalization that is applying technology and information is very rapid, encouraging various educational institutions and agencies to be able to utilize online training systems to increase flexibility and effectiveness in conducting training / training / learning processes, especially in distance education. In terms of this training, it is felt that now it has to follow the times. In terms of making it easier for students to take part in training and facilitate trainers to manage the results of the training that has been carried out by the training participants. However, in some educational institutions and agencies there is still no online training system. This will cause 3 (three) problems, namely: Training still uses conventional methods, educational institutions do not provide open source software, long queues. In preventing the above problems, it is necessary to use online training using Jurnal.id software which will make it easier for students to carry out the training. These problems are the background for the establishment of a system of utilization of cloud accounting for online Web-Based Accounting System (WBAS) training with the aim of facilitating training participants and students in conducting online training expected to improve the quality of education for accounting students and trainees to be able to be more effective and flexible in training. In the utilization of Cloud Accounting, it is expected to be able to become a system as a storage of accounting with online or online media making it easier for students and trainees to carry out accounting training online
DEVELOPING MAGIC ROUND TO TEACH INTERROGATIVE SENTENCES

Vocabulary mastery and sentence structure are often considered to be the most challenging things in mastering English. Besides, both teacher and students are often bored on how they are explained and understood. Thus, keeping students� motivation in learning vocabulary and sentence structure needs more effort as it should be more than just teachers� attendance and explanation. Choosing a proper teaching media can be one of the solutions. This research aims to produce Magic Round as one of the choices for teaching interrogative sentences. It was developed through Research and Development (R&amp;D) by implementing several steps, including preliminary studies, research planning, product design, product validation, product trial, and producing final product. Validity was assessed by both technological and material experts. Those reached 90% and 92%. The usefulness and feasibility were taken by the user and observer. Those gained 91% and 91%. In conclusion, this media is quiet appropriate to be used in teaching English interrogative sentences.
Metodologías en la Enseñanza Técnica: El Caso del Instituto Pascual Bravo

Currently Colombia has many difficulties in aspects of primary needs such as health and education. For example, high levels of school dropout have been found associated with armed conflicts and the lack of economic resources. Another of the concerns that haunt the education system are the low results in national tests such as Saber and Saber Pro and international tests such as the PISA test, where official documents show no improvement. These and other problems are daily traversed in the classroom and carried by teachers and parents, who seek to propose solutions for students who already feel discouraged and without expectations of a better future. And it is the teacher who, based on new methodologies, strategies and resources, seeks that young people get involved in their learning process in a more dynamic and creative way, where active methodologies and the use of computer teaching resources can achieve difference. This article presents some methodologies such as the research seminar, learning by projects, among others, which are applied daily in the Pascual Bravo Institute and have improved the teaching-learning process.
Kepraktisan Penggunaan CD Multimedia Interaktif pada Mata Kuliah Draping Tata Busana Fakultas Teknik Universitas Negeri Makassar

This study aims to determine the practicality of the use of interactive multimedia CD that are viewed in terms of effective, efficient, creative, interactive and interesting that are used in the Draping at Fashion Study Program, Faculty of Engineering, Universitas Negeri Makassar. This type of research is quantitative research with descriptive data analysis. The subjects were 25 students. The results showed the practicality of interactive multimedia CD in the learning process of draping to meet the requirements based on the requirements of the practicality requirements of the media or teaching materials used in the learning process.
PENINGKATAN KEMAMPUAN GURU SEKOLAH DASAR DALAM PEMBUATAN MEDIA PEMBELAJARAN BERBASIS MULTIMEDIA

The purpose of this article is to find out the improvement of ability of elemenatry school teachers in Gugus 01 Baringin Anam Kecamatan Baso kabupaten Agam to create multimedia based on learning media by using Macromedia Director aplication. The improvement of ability is measured by using pre-test and post-test. The pre-test result that given to 20 teachers gained an average of 46.6 and the post-test result gained an average of 71. Based on the data, the increased percentage of elementary school teacher's ability was 52.36%. Thus, it can be concluded that there is an increase in the ability of elementary school teachers in Gugus 01 Baringin Anam Kecamatan Baso Kabupaten Agam.
SOCIAL AND HUMANISTIC FUNCTION OF INCLUSIVE EDUCATION

The article deals with historical and philosophical analysis оf the social and humanistic function of inclusive education. Its origin comes out of the idea based on the principles of equality and availability. The paper determines that the leading strategy for the development of the modern education system is its reconstruction on a humanistic basis, formation of the alternative models of psychological and pedagogical support in the country and mechanisms for free forms of education of children with special educational needs choice in accordance with their educational needs. Hence, the philosophical discourse actively discusses concepts related to the implementation and dissemination of an inclusive model of education.
Wall Climbing Assisting Belt based on Universal Vacuum Gripper

In order to maintain the gas tank or rescure the people in disaster site, the wall climbing assist suits have been developed.The principle technique of the suits is the adhesive technology, such as vacuum pad, gecko adhesion, and Universal Vacuum Gripper hereinafter UVG.UVG is one of vacuum pad for uneven surface based on Jamming phenomenon of granular material.The conventional suit based on UVG had two functions, adhesion by UVG and power assist for wall climbing, but its weight was about 17 kg.In this paper, the belt-size assist suit about 5 kg is developed. We evaluate the performance of the developed suit by climing actual wall and moving along ceiling.
A study abuout 'you-sentence' which expresses measurement and compassion in ZHU ZI YU LEI

This paper is trying to use the method of Three Plane Theory to analyze the “you-sentence” in ZHU ZI YU LEI. And it is found that at latest in the South-Song Dynasty the “you-sentence” has had the syntactic function beyond the measuring function , that is the syntactic function of comparison. At the same time, combined with the researching method of semantics, this paper uses the method of drawing vector graph to intuitively distinguish the closely relationship between measurement and comparison. The author thinks that the syntactic function of “you-sentence” denotes “comparison” originates from the syntactic function of “measurement”. Finally, this paper analyzed the pragmatic functions of the “you-sentence” which are expressed in ZHU ZI YU LEI. And it reveals that their pragmatic functions are mainly based on the emphasis the small quantity and deep degree about the subject of comparison.
A Desktop-type Robot for Assisting Facial Make-up based on Surface Tracing Motion (2nd report)

This paper reports about an assistive robot for facial make-up. Facial make-up is one of the activities of daily living, especially for women. We aim to shorten the required time and reduce the workload of facial make-up. The robot has an active mechanism with motors and a passive mechanism with constant force springs. We examine the applying coverage are and the force applied on the face. These experiments have shown that there are unreachable areas after the application and the robot applies approximately constant force to the face. We describe the improvement of the applying coverage and show that the robot is able to apply constant force to the face by use of the suggested active and passive mechanisms.
Four interval-valued intuitionistic fuzzy modal-level operators

Four new interval-valued intuitionistic fuzzy operators are introduced.It is shown for them that they exhibit behaviour similar both to the modal, as well as to the level operators defined over interval-valued intuitionistic fuzzy sets, and for this reason, they are called intervalvalued intuitionistic fuzzy modal-level operators.Their basic properties are discussed.
A virtual reality? Creativity and the individual: the importance of creative space

The chapter begins with a consideration of the history of creativity within society, and notes that creative acts began prior to the existence of IP law - or, indeed, formalised law. The chapter will follow the progression of law as enabling the dissemination of creative expression, moving into a period of regulatory fetters. The focus of the State was on the expression of works, rather than the inner creativity. That inner creativity remained a protected space, both physical and mental. However, more recent developments, including the rise of an economic dialogue, along with the development of digital machinic technologies, poses a regulatory challenge as the may endanger the inner creative space.
Semantic Alignment in Multiple Stages of Networks for Person Re-ID: Towards Generalizable Models

Person re-identification (re-ID) is a task that aims to associate the same people across different cameras. One of the many important problems a person re-ID system has to address in order to achieve good performance is the feature misalignment problem. Past research has attempted to address this problem by using attention networks, pose-estimation modules, or semantic segmentation networks. However, they all eventually tend to pool these features to a single feature embedding, thereby not distinguishing regions with different semantic meanings such as the head, torso, and lower body. Most approaches also do not make use of all the information available throughout multiple layers (stages) of the feature extractor. Furthermore, although these additional features are used to provide extra information to the re-ID network during training, they do not take into account the importance of different regions of the image due to, for example, occlusion. To circumvent these problems, we propose a network that is capable of extracting regional feature embeddings that are associated with specific body parts of an identity, i.e., head, upper-body, lower-body, shoes, and foreground image. We extract these features from multiple stages of a feature extractor using a semantic-segmentation module. We then use multi-branch learning to ensure that these features are independently optimized by introducing separate modules (branches) for each regional feature embedding. To increase the robustness of the model, we also propose a novel testing strategy that makes use of the importance and visibility of specific body parts in both the query and gallery images in order to calculate a ranking list. Finally, to address the current lack of datasets that contain images from overhead face-down cameras, we introduce a new dataset named MatchNMingle-reID. Because of the viewpoint of the cameras, this dataset presents unique challenges that are not seen in current datasets and opens possibilities to create more generalizable models that can effectively address the feature misalignment problem.
Fuzzy Cognitive Map Applied in Low-Cost Mobile Robot Exploring Unknown Environment

Autonomous Navigation Systems still have some barriers to break.The decision-making process of autonomous robots tend to have high computational costs, and still feel distant to being used in everyday tasks.This paper presents an evolution of a previous work, where the major aspect discerning both papers is the objective finding routine, as the robot does not know its destination anymore.We propose using Fuzzy Cognitive Maps (FCM) to control the decision-making process of a low-cost autonomous mobile robot, that can be used for modeling and testing small scale prototypes.The system is embedded using an ATMega2560 microcontroller and the motors' actuation will be inferred directly from sensors reading.This approach presents a smoother detour and optimized trajectory, when compared to a multivalued logic controller.With low computational costs, and minimal adjustments, FCMs have proven to be useful as an embedded decision-making mechanism.Finally, future works will conclude this research.Resumo: Sistemas de Navegação Autônoma ainda possuem algumas barreiras a serem transpassadas.O processo de tomada de decisão de robôs autônomos tende a ter alto custo computacional, e ainda parece estar distante de ser usado em tarefas cotidianas.Este artigo apresenta uma evolução de um trabalho anterior.O principal aspecto que difere os dois trabalhos é a rotina de busca objetiva, pois o robô não conhece mais seu destino.A utilização de Mapas Cognitivos Fuzzy (FCM) é proposta para controlar o processo de tomada de decisão de um robô móvel autônomo de baixo custo, que pode ser usado para modelar e testar protótipos de pequena escala.O sistema é embarcado usando um microcontrolador ATMega2560 e a atuação dos motores será inferida
A new super-resolution method for monochrome camera array imaging

Multi-view super-resolution refers to the process of reconstructing a high-resolution image from a set of low-resolution images captured from different viewpoints typically by different cameras. These multi-view images are usually obtained by an array of the same color cameras. However, the color cameras have color filter array to acquire color information, which reduces the quality of obtained images. To avoid color camera, and obtain higher resolution color images, we do research on a camera array which consists of interlaced different monochrome cameras and propose a new super-resolution method based on the camera array. Given that MVSR is an ill-posed problem and is typically computationally costly, we super-resolve multi-view monochrome images of the original scene via solve a regularization optimization problem consisting of a data-fitting term and three regularization terms on image, blur and cross-channel priors. The resulting optimization problems with respect to the desired image and with respect to the unknown blur are efficiently addressed by the alternating direction method of multiplier. Corresponding experimental results, conducted on a series of datasets captured by our own camera array system, demonstrate the effectiveness of the proposed method.
Research on the Fine-tuning Technology Based on Faster R-CNN

In recent years, Deep Learning is widely used in various fields, such as object detection, speech recognition, etc. This paper focuses on the application of convolutional neural networks in transfer leaning. Convolutional Neural Networks (CNN) is a branch of Deep Learning. The calculation speed of matrix and CNN’s training speed have been improved greatly for GPU’s excellent computing capability. In the process of practice, the CNN model shows strong generalization ability. The CNN model can achieve higher classification accuracy with fine-tuning adjustment under the premise of sacrificing certain performance.
Language Learning Strategies Used by Students with Different Listening Achievement

The objective of this study was to describe the language learning strategies used by students with different listening achievement. Seventy students from two classes were chosen to participate in this study by using a convenience sampling technique. They were divided into three achievement groups based on the achievement group’s technique by Arikunto (2006). Listening achievement test and modified Strategy Inventory of Language Learning (SILL) questionnaire were used to collect data. The design of this research was descriptive quantitative.&#x0D; The study found that high, intermediate, and low achievement group used all six kinds of strategy. High achievement group used strategies more often than intermediate, and low achievement group. Metacognitive strategies were the most used strategies for high, intermediate, and low achievement group. In contrast, affective strategies were the least used strategies for high, and intermediate achievement group. Meanwhile, compensation was the least used strategy for low achievement group.