Reviewerly/exHarmony huggingface dataset:
The Feasibility of Using Behavioural Profiling Technique for Mitigating Insider Threats: Review

Insider threat has become a serious issue to the many organizations.Various companies are increasingly deploying many information technologies to prevent unauthorized access to getting inside their system.Biometrics approaches have some techniques that contribute towards controlling the point of entry.However, these methods mainly are not able to continuously validate the users reliability.In contrast behavioral profiling is one of the biometrics technologies but it focusing on the activities of the users during using the system and comparing that with a previous history.This paper presents a comprehensive analysis, literature review and limitations on behavioral profiling approach and to what extent that can be used for mitigating insider misuse.
Impact of Video Compression and Multimodal Embedding on Scene Description

Scene description refers to the automatic generation of natural language descriptions from videos. In general, deep learning-based scene description networks utilize multimodalities, such as image, motion, audio, and label information, to improve the description quality. In particular, image information plays an important role in scene description. However, scene description has a potential issue, because it may handle images with severe compression artifacts. Hence, this paper analyzes the impact of video compression on scene description, and then proposes a simple network that is robust to compression artifacts. In addition, a network cascading more encoding layers for efficient multimodal embedding is also proposed. Experimental results show that the proposed network is more efficient than conventional networks.
User-Centered Design Research: Case Study of Baby Bottle Sterilizer Design

Anywhere, infants belong to a special group, and the bottle is the most commonly used tableware. Provided that the bottle and nipple are not thoroughly cleaned, it will endanger the spread of pathogen infection [1]. The surface of the nourishing bottle is covered with bacteria and viruses invisible to our naked eyes. These bacteria and viruses can easily enter the baby’s immune system through his mouth by behaviors such as touching the feeding bottle, sucking fingers and drinking the milk. Subsequently, the baby will fall ill. Generally, an increasing number of families, especially those with children, have noticed the importance of bottle sterilizers. This design is based on the existing theory of the concepts and technical principle of disinfectors. Meanwhile, considering the specific situation of young parents taking their children to travel, in order to improve characters’ quality of life and design products that meet the market demand.
Experiencing English: A Textbook Evaluation on the Cultural Loads

This research aimed at investigating the cultural contents implied in the English textbook entitled Experiencing English. A qualitative method was used in this research which analyzed the English textbook. The data source of this research was the English textbook for Junior High School students entitled Experiencing English. The instrument used for collecting data was only from documentation in form of textbook. Then the data were analyzed by using Byram et al. (1994) framework to investigate the aspects of culture. In this research analyzed the nine aspects that have to be included in the EFL textbook. The result showed that stereotypes and national Identity is more frequently used in experiencing English. This aspect represents the target culture stereotypes and national identity which is commonly focused on the British and American culture. Finally, the conclusion led to the cultural content that is frequently used in Experiencing English textbook is target language culture. Notwithstanding, the source/local culture values as drafted in the 2013 Curriculum is still implied in the textbook as intended to enable the students to reflect their own culture in English.
Geometric vs. traditional morphometric methods for exploring morphological variation of tadpoles at early developmental stages; supplementary material

We conducted a comparative (2D landmark-basedgeometric and traditional) morphometric analysis on tadpoles at earlydevelopmental stages.Two species of brown frog (Rana dalmatina and R. temporaria) and the commontoad (Bufo bufo) were involved, allraised in the laboratory from fertilized eggs collected in their naturalhabitat. Taxonomic identification was confirmed by the DNA barcoding methodwith the 16S rRNA sequence as the gene marker. Interested to comparethe methodologies forquantification and description of morphological differences amongtadpoles of mentioned species, we aimed to: 1) calculate interspecies geneticdistances as the most relevant measurement for species differentiation, 2)determine and describe size and shape variation, 3) identify relationshipsamong the analyzed species at the morphological level and 4) assess theirclassification accuracy. Within the frameworkof the specified aims, both methodologies produced very similar results, i.e.,the smallest divergence was between R. dalmatina and R. temporaria, while the most discriminative were B. bufo and R. temporaria. However, we observed subtle shape variation of the distal region of the tail that was detectedonly by the geometric morphometrics. Our findingssupport the following. Geometricmorphometric method captures more subtle shape differences that wereunable to be recovered from linear measurements. It performs slightly better inclassification rate. Although it was not quantified, it stands to reason thatthere is no difference in time investment between the two approaches. Geometricmorphometrics provides more information that can be leveraged to answer furtherquestions and it has a clear advantage in visualizing.
A KNOWLEDGE BASED TWO-STAGE CASCADE MODEL FOR TEST-QUESTION/ANSWER RETRIEVAL

Test-question/answer retrieval task has raised higher requirements in terms of accuracy, coverage and semantic understanding.We design a cascade model with two-stage training processes: The first stage uses 41,532 user test-question click records and 207,660 unclick records, which are collected from a designed test-question-answer experimental platform, to generate 200,000 pairwise training dataset to train a deep learning model, which could improve generalization ability.The second stage combines the output of the first stage with structural knowledge as new features to train a logistic regression for selecting the results from the candidates with higher accuracy, the training dataset is generated by manually annotating 20,000 test-question samples.The structural knowledge is also manually extracted from the samples for generating a small knowledge graph, and on this condition, we design knowledge features.Experimental results show that the proposed model outperforms the state-of-the-art algorithms, among which the cascading model contributes 3% improvement and the knowledge features contribute 1% improvement.
Gradual Switch Clustering Based Virtual Middlebox Placement for Improving Service Chain Performance

Recently, Network Function Virtualization (NFV) has drawn attentions of many network researchers with great deal of flexibilities, and various network service chains can be used in an SDN/NFV environment. With the flexibility of virtual middlebox placement, how to place virtual middleboxes in order to optimize the performance of service chains becomes essential. Some past studies focused on placement problem of consolidated middleboxes which combine multiple functions into a virtual middlebox. However, when a virtual middlebox providing only a single function is considered, the placement problem becomes much more complex. In this paper, we propose a new heuristic method, the gradual switch clustering based virtual middlebox placement method, in order to improve the performance of service chains, with the constraints of end-to-end delay, bandwidth, and operation cost of deploying a virtual middlebox on a switch. The proposed method gradually finds candidate places for each type of virtual middlebox along with the sequential order of service chains, by clustering candidate switches which satisfy the constraints. Finally, among candidate places for each type of virtual middlebox, the best places are selected in order to minimize the end-to-end delays of service chains. The evaluation results, which are obtained through Mininet based extensive emulations, show that the proposed method outperforms than other methods, and specifically it achieves around 25% less end-to-end delay than other methods.
The OTC (Object to Camera) Approach to Visualize Behind Stories of Museum Exhibits

Augmented Reality (AR) is a growing field, with great potential purposes in many different environments including public museums and galleries. This paper introduces the use of AR in a public museum that is designed to bridge museum visitors, especially preschoolers to art pieces installed in a public museum. In collaboration with the UNLV Marjorie Barrick Museum, we created an Augmented Reality experience called the OTC (Object To Camera) to showcase one’s artwork through an augmented medium that shows the behind scenes of the art pieces. The experience was intended to have a more physical approach, to distinguish itself from other augmented reality experiences the user may have come into contact with. An observation was conducted as a field study with preschoolers at a community event held at the UNLV Marjorie Barrick Museum and showed that interactive AR has potential applications in the museum to enhance the learning process.
Sniffing Network Data Packet in a LAN Environment by Tampering the CAM Table

Now a days Network communication become an important part of every organization as well as part of every human beings. In a computer communication communicated data are in the form of data packets. Network packets in a computer communications can be defined as an amount of data in a limited size. In Internet all traffic travels in the form of packets, the entire file downloads, Web page retrievals, email, all these Internet communications always occur in the form of packets.Packet sniffer is a tool or device that can be used for capturing the packet at data link layer in a Network. Packet sniffer is not only a hackers tool but it can be used both by the hacker for eavesdropping and by the administrators for network monitoring and troubleshooting. Sometimes a packet sniffer is known as a network monitor or network analyzer. Many machine administrator or community administrator use it for tracking and troubleshooting community visitors. Packet sniffers are useful in wired as well asWi-Fi networks for monitoring network.In this paper we studied the various methods for sniffing the data packets traveling across the Network in a LAN.
Jointly Detecting and Retrieving Vehicles from Road Image Sequences based on CNN

In this paper, a CNN-based vehicle detection and retrieval framework is proposed for the intelligent transportation system. Firstly, the vehicle target is detected from the traffic scene. The proposed object detection method uses a fully convolutional neural network (CNN) based on SqueezeNet, which has the characteristics of real-time, high accuracy and has small model size. Secondly, an intra-class image retrieval method is presented to search vehicles which are similar to the target vehicle in the dataset. The image retrieval results can be used for traffic scenes simulation and modeling. The experiments and comparisons prove the effectiveness of our framework.
Smart Finger based Gesture Calling Feature and Obstacle Detection for Blind People

Innovation is finding a wide scope of utilization in each field and Mobile innovation isn't kept as exemption. One of the advances which help the visually impaired individuals to make a call is Virtual reality. On the off chance that a visually impaired individual attempting to make a call utilizing advanced mobile phone submits any slip-up it will prompt a wrong call. This innovation diminishes the weight of a visually impaired individual by utilizing this application. This application is making utilization of an innovation called "HAPTIC Technology". Haptic is "the utilization of innovation that invigorates the faculties of touch and movement". In basic words the sensations would be felt by a client communicating specifically with physical articles. The calculation of touch and call with haptic is utilized. Not withstanding this we have additionally proposed another framework which can distinguish any deterrent or remote item which comes in its way for the visually impaired individuals utilizing ultrasonic sensors, vibration engine and API voice to suggest the location.
Development of IDE for Android Devices

Mobile devices are frequently used for educational purposes considering their high availability and portability. However, educational abilities of mobile devices are quite limited due to the lack of proper IDE applications. Most Android integrated development environments for C++ are lacking code completion and real-time code analysis, while others provide these features at unacceptable speeds. Therefore, we decided to develop a next-generation mobile C++ IDE that will not only have these features, but will also provide them at real-time speeds. This will make mobile devices more suitable for learning C++ and will provide students with an opportunity to leave their laptops at home and to learn C++ in different situations, where usage of laptop is not convent. In this paper, we describe the software porting technology applied to Clang compiler and other required tools and propose the method to speed up compilation, code completion and code analysis in our IDE. We also propose UI optimization methods. We also describe a regular expression-based heuristic algorithm for precompiled header generation that has small processor time and RAM requirements. The efficiency of the algorithm is tested on different educational code examples. Our experiments show that our IDE is the only one at the moment, that can keep code completion real-time in all usage scenarios. The performance gain is 300 % average, when STL is used, reaching 3350 % when Boost library is involved. There is a small performance loss when C is used, but it is not significant, as the performance is still acceptable for real-time usage.
PENGARUH KUALITAS STRATEGI MEMBACA TERHADAP PRESTASI AKADEMIK

The dual-role of the students of English Education Department Teacher Training and Education Faculty Muria Kudus University as both English language learners and language users gets them to be autonomous, effective, efficient, and strategic readers. The objective of this research is to investigate the relationship between quality of the reading strategy and academic achievement of the students. The subjects of this research were 104 students of EED UMK comprising of all semesters taken randomly. The instrument used was closed-ended questionnaire. The result of this research reveals that there is no relationship between quality of the reading strategy and academic achievement, meaning that the quality of reading strategy does not influence the academic achievement of the students. Implikasions and recommendations for the institution and for further research were proposed.
The use of fake documents and the results of this status

Purpose-The purpose of this research is to investigate the fake documents used by businesses and their impact on businesses.Methodology-Necessary legal information and recommendations were mentioned in the study and the effects of the use of counterfeit documents were tried to be explained.Company information is kept confidential in case study due to company privacy.Findings-Taxes and penalties to be levied are stated in accordance with the tax legislation.Conclusion-It was concluded that enterprises using false documents faced serious material and moral sanctions in the continuation of this determination.
Research on Human Stoop Activity Energy Expenditure Detection Algorithm Based on AHRS Transducer

The effectiveness of the measurement method of human exercise energy consumption based on accelerometer has been confirmed by research institutes in recent years. Aiming at the shortcomings of the accuracy of existing algorithms for human calorie consumption, this article aims at the importance of the detection of stoop activity energy expenditure (SAEE), a new system of detection SAEE based on AHRS transducer was presented. With collecting and analyzing data, a method for calculating the motion parameters and a new algorithm of detection SAEE was developed. The experimental results prove that the algorithm can accurately estimate bending energy consumption, and the accuracy can reach 84%. It has certain reference value for bending energy consumption calculation.
Segmentation for Domain Adaptation in Arabic

Segmentation serves as an integral part in many NLP applications including Machine Translation, Parsing, and Information Retrieval.When a model trained on the standard language is applied to dialects, the accuracy drops dramatically.However, there are more lexical items shared by the standard language and dialects than can be found by mere surface word matching.This shared lexicon is obscured by a lot of cliticization, gemination, and character repetition.In this paper, we prove that segmentation and base normalization of dialects can help in domain adaptation by reducing data sparseness.Segmentation will improve a system performance by reducing the number of OOVs, help isolate the differences and allow better utilization of the commonalities.We show that adding a small amount of dialectal segmentation training data reduced OOVs by 5% and remarkably improves POS tagging for dialects by 7.37% f-score, even though no dialect-specific POS training data is included.
Millennials’ Service Quality Expectations: A Challenge for Academic Librarians

Millennials, the users of today’s academic libraries are socially and culturally more diverse than previous generations. They are Internet savvy, always connected to social media and leaning to multitasking. The purpose of this study was to explore the millennials’ expectations of service quality of academic libraries and specific objectives were set; to assess millennials’ expectations of service quality, to identify the most important service quality attributes and to identify millennials’ anticipation of spending of limited library allocation. A user survey was conducted among the first year Science students of University of Colombo and 250 questionnaires were distributed among the students. The survey questionnaire was designed taking inputs from SERVQUAL and LibQUAL models and included questions on user expectations of the service quality (physical facilities, library resource, library services, and staff), most important service quality attributes and user anticipation of spending of library allocation. In addition, open questions on the additional expectations of library service quality. Students rated their expectations in a five-point Likert scale ranging from strongly disagree (lowest) to strongly agree (highest). Most of the service quality attributes were selected by millennials with more than 80% expectation level and “Internet connectivity and Wi-Fi facilities in the library” (2.237) was ranked as the most important service quality attribute for each student followed by “comprehensive printed resources” (2.167), “convenient library opening hours”(2.08), “self-study areas” (1.878) and “group study areas” (1.872). According to the millennials’ anticipation of limited library allocation, 87% of the students selected the library collection development is more important than the improvement of physical facilities (13%). They selected the development of the printed collection (52%) over the electronic collection (48%) and library learning space expansion (84%) over the improvement of library equipment (16%). Library administration needs to discuss these specific needs of “always connected” generation and address them very carefully to build up a strong relationship between the millennials and the academic library.
GESTURAL LOCOMOTION IN 360º VIRTUAL TOUR OF COIMBRA

The locomotion between 360º images in virtual reality environments can be challenging due to the limited types of possible movements.In this work we created a virtual tour of the city of Coimbra to study the locomotion between 360º images through the usage of gestures.To accomplish this, we resorted to the usage of the Myo armband which can read up to 5 pre-defined gestures.These gestures allow the navigation between images, such as go to the previous location, to the next location or look at a map and select a location to go to.It is also possible to trigger other types of actions that do not involve locomotion such as, for example, open pop-ups containing information.We ran usability tests to evaluate the experience of this virtual visit, which allowed us to conclude that the majority of the participants believed they were in a virtual environment but felt some vision related discomfort.Not only that, but users thought that the gestures used to trigger the features of the application were natural and intuitive.
Face Recognition Technology

Face recognition is a fast growing and interesting area in real time application.It presenting a challenging problem in the image analysis and computer vision.In this paper, an overview of some of the well-known methods in each of the categories is provided and some of the benefits and drawbacks of the schemes mentioned therein are examined.This paper also mentions some of the most recent algorithm develop for this purpose and attempts to give an idea of the state of the art of face recognition technology.
GENERAL PRINCIPLES OF CONSTRUCTION OF SYSTEMS OF INDEXATION OF ELEMENTS OF FINITE SETS

Objectives Definition of general principles for constructing indexing systems for elements of finite sets. Method . Building a model of the indexing process. Definition of general rules for assigning attributes - indices to elements of sets. Result . The general principle of constructing indexing systems for elements of sets and their aggregates is proposed. The basis of the proposed indexing principle is the mandatory presence of functional relationships between the values of the element indices. The main sign of differences in indexing systems is the difference in functional dependencies between the values of the indices of the environment elements. Indexing systems determine the structural properties of sets and their aggregates. A change in indexing systems predetermines a change in structure. This allows one to form sets, sets with different structures from elements of the initial configurations, and change their structural properties. Conclusion . A general principle is proposed for constructing systems for indexing elements of sets and their aggregates, based on which are functional dependencies between element indices. Changes in the used functional dependencies between the element indices, as shown in the work, allows one to form combinatorial configurations with different structural properties. The indexing system is a set of rules for assigning to the elements sets of attributes - indices, ensuring their visibility and communication with the environment and determining their structural properties. At the heart of the construction of any structures and indexing systems are some common basic principles for their construction. They are illustrated based on the indexing systems used in classical algebra. Based on the results of a study of the principles of constructing indexing systems, a generalized model of indexing systems is proposed. As a general principle, which is a general principle of constructing indexing systems, a system of functional dependencies between the values of the indices of an element of sets and the values of the indices of the elements of its environment is proposed as a model.