Reviewerly/exHarmony huggingface dataset:
A domain adaptation deep transfer method for image classification

The deep learning models have recently shown outstanding performance in many computer vision applications. However, this superior performance requires a very large number of annotated image samples, pre-venting application to problems with limited training data. To overcome this limitation, we propose a Do-main Adaptation Deep Transfer Model (DADTM) in this paper. The DADTM improves the classical transfer models by the proposed domain invariance value metric and a domain invariance reconstruction, increasing the model transferability and enhancing the classification performance. The comparative experiments are performed to evaluate the DADTM-based classification algorithm. The results show that the proposed mod-el and algorithm outperform the traditional methods.
Retail Consumer Traffic Multiple Factors Analysis and Forecasting Model Based on Sparse Regression

The rapid development of O2O business has increased the competition among offline shops in China. Accurate prediction of the shop’s customer traffic can help the stores to change the strategy of sales timely and improve their competitiveness. Customer traffic forecast is more than a problem of time series. In fact, customer traffic for the next period is related to some external factors except for historical traffic. In this paper, the external factors affecting the customer traffic are analyzed using sparse coding, and we propose a sparse regression forecasting model with these external factors. The obtained results show that these external factors have varying degrees of impact on consumer traffic, and the prediction accuracy is significantly improved after considering these factors.
Disaster Reporting and Alert System Using Tweets in a Social Media

The number of Social Media users have increased rapidly these days and a lot of valuable as well as non valuable information is shared in the social which is capable of reaching many people in a short period of time and hence the valuable information that are shared in the social media can be used for many types of analysis. In this paper the tweets that are shared in the name of a disaster is taken and then a alert system is build. This alert system gives alert to the users after checking the received data with the centralized database. This paper also gives a comparative study on the algorithm used in extracting the data from the social media which gives us the accuracy rate of different algorithm that can be used for text mining.
Perancangan Sistem Informasi Pariwisata dan Kebudayaan Kabupaten Maybrat Berbasis WEB (Studi Kasus : Komunitas Pencinta Alam Papua Barat)

Accompanied by the development of information technology, communication technology has developed rapidly. One sector that is developing in the field of tourism which contributes to more interactive information through the internet. Where Maybrat Regency has considerable tourism and cultural potential, it is managed by the Maybrat Regency Tourism and Culture Community which is very useful if managed well and effectively. This is to improve the economy of the community, the quality of human resources, through tourism assistance that enables increased regional pride. Accurate presentation of the area that can be used to increase revenue in the region itself. Now there is not enough information about tourist objects in Maybrat Regency so that not many tourists and people know the potential of tourism objects. The system development model used is the prototype model. By building interfaces using Adobe Dreamweaver CS6. The database is stored using php and displayed via XAMMP. This system is also built on the framework of a system that is a code igniter.
Analysis of Main Influencing Factors of Scientific Data Sharing in Universities

At present, China is in the critical period of implementing innovation-driven development strategy and building a strong country in science and technology.Strengthening and standardizing scientific data management is an important means to strengthen China's scientific and technological innovation capacity building.As an important base for scientific data generation, what are the attitudes, cognitions, behavioral characteristics and influencing factors of researchers on scientific data sharing?Based on the theory of technology acceptance model and planning behavior, this paper constructs the influencing factors model of scientific data sharing willingness in universities, discusses the factors affecting the scientific data sharing of universities, and draws three main factors affecting the scientific data sharing of universities: individual characteristics, subjective norms, systems characteristics.Finally, from the aspects of service content, incentive mechanism, literacy education, platform architecture, etc., scientific data sharing services of university libraries are carried out.
A Study of the Issues and the Factors on Reading Efficiency in ESL at Undergraduate Level

This study attempts mainly to explore various reading pedagogies employed by English language instructors and to understand certain teaching methodologies, materials, and evaluation techniques. At the outset, the importance of students' reading proficiency is overviewed. In the review section, some relevant studies about reading skill development and various approaches to improve reading proficiency have been discussed. The need for achievingproficiency in reading through some useful methods, material and efficient evaluation techniques are critically reviewed.The methodology that used in this study is survey method for students.Further, the data collected is analysed and interpreted using various statistical tools, such as tables, bar-charts etc.As per this study, students believed that vocabulary, word familiarity and dictionaries played a huge role.Anxiety, reading for short durations, culture, mother tongue, and group reading do not seem to impact reading efficiency.Finally, the conclusion is made based on the review of the literature and the research data collected.
Application of Knowledge Management Systems for Counseling of First Middle School Students: A-SIMPeko Middle School Student

Guidance and Counseling (BK) in one of the Swsata schools in East Jakarta has been done well so it is very helpful for the counselee.The counselee can develop his potential and solve the problems at hand.This BK process occurs very intensively and always develops according to the conditions and needs of the counselee.At present many cases of BK occur and must be resolved immediately so that it is felt necessary for the media to store the results of counseling so that it can be used again as a counselor's reference in handling similar or similar cases.The media needed is not just a store but can be used to retrieve it quickly as well as record it as a Knowledge Base.Based on these needs it is necessary to make a system that can save and take the results of counseling with the Knowledge Management (KM) approach.BK activities that begin with the discussion, give advice or solutions to the counselee, plan problem solving until the implementation of problem-solving has the characteristics of KM.The results of this study are the development of an Information and Guidance and Counseling information system that implements a Knowledge Management System approach that resolves the storage needs and restatement of counseling results.
Distributed Computing Column 73 SPAA 2018 Review

This issue's column contains a review of the 2018 ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) by Laxman Dhulipa. Laxman has provided an insightful overview of the keynote lectures and highlights of the contributed presentations, that I hope will inspire you to track down and read the papers, if you haven't done so already.
Generators with the Given Distribution Law

Pseudo-random number generators (PRNG) play an important role in the tasks of information security. Reliability and safety of information collection, processing, storage and transfer in computer systems and networks depend on PRNG’s properties. As a rule, the distribution of symbols in the sequences created by generators submits to the uniform distribution law. But in some cases it is necessary that the generator created the sequences with the distribution law other than uniform. This article proposes an approach to the construction of such generators based on PRNG’s. The schemes for constructing generators with a distribution law that is non-uniform are provided. At last, recommendations for estimating the properties of generators with a given distribution law are produced.
Context-aware Training Image Synthesis for Traffic Sign Recognition

In this paper, we propose a method for training traffic sign detectors without using actual images of the traffic signs. The method involves using training images of road scenes that were synthetically generated to train a deep-learning based end-to-end traffic sign detector (which includes detection and classification). Conventional methods for generating training data mostly focus only on producing small images of the traffic sign alone and cannot be used for generating images for training end-to-end traffic sign detectors, which use images of the overall scenes as the training data. In this paper, we propose a method for synthetically generating road scenes to use as the training data for end-to-end traffic sign detectors. We also show that considering the context information of the surroundings of the traffic signs when generating scenes is effective for improving the precision.
Researchers May Need Additional Data Curation Support

A Review of:&#x0D; Johnston, L. R., Carlson, J., Hudson-Vitale, C., Imker, H., Kozlowski, W., Olendorf, R., &amp; Stewart, C. (2018). How important are data curation activities to researchers? Gaps and opportunities for academic libraries. Journal of Librarianship and Scholarly Communication, 6(1), 1-24. https://doi.org/10.7710/2162-3309.2198&#x0D; Abstract&#x0D; Objective – To identify the data curation activities most valued by researchers at universities.&#x0D; Design – Focus group and survey instrument.&#x0D; Setting – Six R1: Doctoral Universities in the United States of America that are part of a Data Curation Network (DCN) project to design a shared data curation service.&#x0D; Subjects – 91 researchers, librarians, and support staff.&#x0D; Methods – The authors used focus group methodology to collect data about valued data curation activities, current practices, and satisfaction with existing services or activities. Six focus groups were conducted at participants’ places of employment. Participants reviewed a list of 35 possible data curation activities, including documentation, data visualization, and rights management. A card-swapping exercise enabled subjects to rank the most important issues on a scale of 1-5, with “most important” activities becoming the subject of a facilitated discussion. In a short paper-based survey, participants also noted whether a data curation practice is in place at their institution, and their satisfaction with the practice.&#x0D; Main Results – Twelve data curation activities were identified as “highly rated” services that academic institutions could focus on providing to researchers. Documentation, Secure Storage, Quality Assurance, and Persistent Identifier were the data curation activities that the majority of participants rated as “most important.” Participants identified the data curation practices in place at their institutions, including documentation (80%), secure storage (75%), chain of custody (64%), metadata (63%), file inventory or manifest (58%), data visualization (58%), versioning (56%), file format transformations (55%), and quality assurance (52%). Participants reported low levels of satisfaction with their institutions’ data curation activities.&#x0D; Conclusion – Academic libraries have an opportunity to develop or improve existing data curation services by focusing on the twelve data curation activities that researchers, staff, and librarians value but that could be implemented in a more satisfactory way. The authors conclude that their organization, the Data Curation Network, has an opportunity to improve data curation services or to offer new or expanded services.
Techniques from Magic Applied to Design (TMAD)

Understanding human perception empirically ‒ to the point of being able to manipulate it ‒ allows magicians to perform illusions that appear to be supernatural. This knowledge about perception is useful for our discipline, as shown by the findings of the project Techniques from Magic Applied to Design (TMAD). By studying different techniques used by magicians, this article proposes a new approach to unveil the cognitive processes of people, enriching project methodology in areas such as interaction design, service design and information design. Informing the action, one of the techniques developed, is discussed in depth. By analyzing one type of magical illusion, this technique allows for the natural incorporation of elements into the flow of people’s experience without drawing attention to them.
Correction to: Perso2U: Exploration of User Emotional States to Drive Interface Adaptation

The second and third author names were removed. The name of the second and third authors were removed at the request of the corresponding author and with consent from the second and the third authors.
Generalizing Knowledge in Decentralized Rule-Based Models

Knowledge generalization of ruled-based models, such as decision trees or decision rules, have emerged from different backgrounds. This particular kind of models, given their interpretability, offer several possibilities to be combined. Despite each distinct context, common patterns have emerged revealing the systemic nature of the problem. In this paper, we look at the problem of generalizing the knowledge contained in a set of models as a process formalizing the operations that can be addressed in alternative ways. We also include a set-up to evaluate generalized models based on their ability to replace the base ones from a predictive performance perspective, without loss of interpretability.
A Context-aware Reference Architecture for Ambient Assisted Living Information Systems

AAL (Ambient Assisted Living) existing architectures lack the sense of abstraction.The overall existing designs propose a set of elements combined with specific technologies.These visions of AAL systems narrows the possibilities and the choices ahead of the engineers and strict the range of using new technologies, which are likely to be easier and affordable.In this paper, we propose a context-aware RA (Reference Architecture) suitable for the design of distributed AAL systems.Our design is standardized and technology independent.Our aim is to provide a common background for developers and deployers to achieve a common understanding while designing the systems.The major gain is to reduce the efforts made while integrating several systems into one complete and stable environment.Ignoring all the specifications, the details and the objectives of the systems, we introduce the standard qualifications, practices and experiences that assimilate the core of every AAL oriented system.Our perception is global, unified and standard.In addition, it presents an infrastructure that would survive the evolution of technologies.It is adjustable and adaptable to the different possibilities of AAL applications.
The Derivation Errors Made By Students in Completing Paragraph of The Third Semester Students at FKIP UIR

In derivational word have meaning adding affixes, there are three kinds of affixes. Includes of suffix, prefix and infix to word in this research the writer want to know the third semester students at FKIP UIR capability in changing the derivational word. This research is descriptive quantitative there are one variable in this research. The location of this research was in English department of FKIP UIR and the writer took the data on November 20011 there are seven clases in third semester that consist of 317 student as population and the sample of this research was 47 students in 3c class. There is one instrument in this research, it is test and this test was given consist of three test. It was used to know students ability in changing the derivational word. From the data analysis, it can be seen for the first test there are 89,36% students feel difficult in changing infix 87,23% students feel difficult in changing suffix and 0% in changing prefix, after that from the second test there are 100% students feel difficult in changing infix, 80,85% students feel difficult in changing suffix and 21,27% students feel difficult in changing prefix and the last test there are 95,74% students feel difficult in changing infix, 87,23% students feel difficult in changing suffix and 68,08% students feel difficult in changing prefix, so it can be concluded the students more difficult in changing derivational word into infix. It can be seen from the explanation above from three times taken the data.
Publishing Environments for Academic Work

Nice lines by the Jim Groom about the futures of hosting websites. Here is his post.I sometimes get defensive when folks I respect bemoan how hard
Correction to: An eco-evolutionary system with naturally bounded traits

The original version of this article unfortunately contains an incorrect panel (b) in Fig. 1 introduced during the production process.
Novel View Synthesis using Feature-preserving Depth Map Resampling

In this paper, we present a new method for synthesizing images of a 3D scene at novel viewpoints, based on a set of reference images taken in a casual manner. With such an image set as input, our method first reconstruct a sparse 3D point cloud of the scene, and then it is projected to each reference image to get a set of depth points. Afterwards, an improved error-diffusion sampling method is utilized to generate a sampling point set in each reference image, which includes the depth points and preserves the image features well. Therefore the image can be triangulated on the basis of the sampling point set. Then, we propose a distance metric based on Euclidean distance, color similarity and boundary distribution to propagate depth information from the depth points to the rest of sampling points, and hence a dense depth map can be generated by interpolation in the triangle mesh. Given a desired viewpoint, several closest reference viewpoints are selected, and their colored depth maps are projected to the novel view. Finally, multiple projected images are merged to fill the holes caused by occusion, and result in a complete novel view. Experimental results demonstrate that our method can achieve high quality results for outdoor scenes that contain challenging objects.
The International Experience in Security Risk Analysis Methods

The goal of information security is to be able not just to put in place measures to detect and mitigate attacks but also to predict attacks, deter attackers from attacking, and thus defend the systems from attack in the first place. Data protection should be based on the lessons learned over time, both within the organization and in other organizations. Over the time, a large number of methodologies for identifying information security risks were proposed and adopted and simplified approach to different methodologies has led to their classification in quantitative and qualitative, especially in terms of metrics used to quantify risk. This chapter proposes an international overview regarding the quantitative and qualitative analysis methods for information risk analysis. In practice almost always use a combination of these methods, depending on the characteristics of the organization investigated the degree of uncertainty associated with the method of analysis and risk management.
Analysis of Microcalcifications Using Block Wise Local Binary Pattern and Independent component analysis in Mammograms

In India, the average age of developing a breast cancer has undergone a significant shift over last few decades. Most prominent features that indicate breast cancer are microcalcifications. Microcalcifications are tiny calcium deposits deposited on skin and non-palpable. Automatic analysis of microcalcification helps specialist in having more precise decision. The paper presents an approach that involves classification of microcalcifications into benign/malignant in mammograms. Texture features such LBP and statistical features are extracted from ROIs with microcalcification and independent component analysis is applied to reduce the feature set. These feature set is fed to artificial neural networks to classify the ROIs into malignant and benign calcifications.
Situated Natural Language Understanding

Presented on March 8, 2019 at 12:15 p.m. in the Pettit Microelectronics Research Center, room 102A/B.
Multi-target compiler for the deployment of machine learning models

The deployment of machine learning models into production environments is a crucial task. Its seamless integration with the operational system can be quite challenging as it must adhere to the same software requirements such as memory management, latency, and scalability as the rest of the system. Unfortunately, none of these requirements are taken into consideration when inferring new models from data. A straightforward approach for deployment consists of building a pipeline connecting the modeling tools to the operational system. This approach follows a client-server architecture and it may not address the design requirements of the software in production, especially the ones related to efficiency. An alternative is to manually generate the source code implementing the model in the programming language that was originally used to develop the software in production. However, this approach is usually avoided because it is a time-consuming and error-prone task. To circumvent the aforementioned problems, we propose to automate the process of machine learning model deployment. For this, we have developed a special-purpose compiler. Machine learning models can be formally defined using a standard language. We use this formal description as an input for our compiler, which translates it into the source code that implements the model. Our proposed compiler generates code for different programming languages. Furthermore, with this compiler we can generate source code that exploits specific characteristics of the system’s hardware architecture such as multi-core CPU´s and graphic processing cards. We have conducted experiments that indicate that automated code generation for deploying machine learning models is, not only feasible but also efficient.
Importance to the issue-judgment in the modern educational process

The urgent need for deep analysis of a dynamically changing pedagogical reality leads to a rethinking of the meaning and place of the question-answer system in the process of cognition in general and in the educational system in particular. The established patterns of stereotypical thinking inhibit the solution of actual problems in the reformed agro-industrial complex. This article presents the unique possibilities of the questions-judgments that constitute one of the main elements of the Method of dialectical training. The formation of the full range of competencies for a graduate of universities, in particular, for future agroengineers, including critical and systemic thinking, becomes conscious, informal through the implementation of this didactic technique.