Reviewerly/exHarmony huggingface dataset:
Virtual Worlds in Higher Education

Significant changes in higher education are challenging ways of being for academics. The rapid development of technologies combined with influences of globalization on higher education is creating an increasingly different environment for university learning and teaching. Massive increases in student numbers from around the globe now accessing higher education has required universities to adapt their learning spaces on and off campus in order to meet growing expectations. Increasingly, online technologies are utilized in creating new learning environments to cope with these changing dynamics. Virtual worlds are part of a wide range of technology-mediated learning spaces currently used by universities that are challenging established pedagogies, practices and ways of being an academic. This chapter explores how academics experience virtual worlds as pedagogical places. Using the virtual world Second Life™ as a lens, it examines the changing nature of embodiment, pedagogy and place for academics and the significance these changes have for academic identity and practices. A hermeneutic phenomenological approach following is used for this inquiry and is framed by post-phenomenological philosophies of human-technology relations after , , , ) and , ). Theories of extended embodiment established by and underpin understandings of experiences mediated through the avatar. One-oucted with academics having direct experience using Second Life for learning and teaching. Data were analysed through hermeneutic phenomenology and discourse analysis approaches. This interpretive research method uses data extracts to include the reader in the process. The results from this research indicate virtual worlds are places where academics dwell pedagogically. Virtual worlds can be creative, playful, agential and collegial places for academics where they engage with student avatars in a pedagogically caring way. The virtual world place is a figured world that influences ways of being and ways of feeling and has strong implications for academics’ professional identity and how they see themselves as academics in these spaces. The results from this research have implications for the professional development of academics as we move further into the 21st century and virtual learning spaces become the norm – if they are not already so.
INTERROGATIVE DESIGN IN EXPERIMENTAL COURSE: A CASE STUDY OF MOBILE GRAFFITI PROJECTION MAPPING DESIGN

Interrogative Design in Experimental Course" is a cross-disciplinary curriculum based on the approach of "Interrogative Design" from MIT Media Lab.The course aim of making and presenting "interrogative design works" is to raise questions through art and design, addressing any issues regarding to the campus in order to initiate discussions and draw public attention.
ANALISA DAN PERANCANGAN MECHANICAL BAR SCREEN PADA INSTALASI PENGOLAHAN AIR MINUM (Analysis and Design of Mechanical Bar Screen in Drinking Water Treatment Plants)

Abstract: Installation to process raw water into consumable water consists of processing units that have their respective functions. The selection of these units is based on parameters that must be set aside in accordance with the results of water quality checks. The final result of processing must meet the standards set by the government. In addition to technical aspects, which must be considered also in the determination of the unit on the installation of drinking woter is an economic aspect and the availability of human resources.One of the components contained in the installation of drinking water is a mechanical bar screen. Cleaning of garbage on the bar screen is mechanically intended for cleaning to take place effectively and is not limited by time or weather conditions around the drinking water installation. From the design results obtained motor power required 1226.936 watts while the tensile stress of the flexrake results from the design calculation of . in this design also used material stailess stell AISI 304.Keywords: Designing, Mechanical Bar Screen,Abstrak: Instalasi untuk mengolah air baku menjadi air yang dapat dikonsumsi terdiri dari unit-unit pengolahan yang memiliki fungsi masing-masing. Pemilihan unit-unit ini didasarkan pada parameter-parameter yang harus disisihkan sesuai dengan hasil pemeriksaan kualitas air. Hasil akhir dari pengolahan harus memenuhi bakumutu yang ditetapkan oleh pemerintah. Selain dari segi teknis, yang harus diperhatikan juga dalam penentuan unit pada instalasi air minum adalah segi ekonomis dan ketersediaan sumber daya manusia.Salah satu komponen yang terdapat pada instalasi air minum adalah mechanical bar screen. Pembersihan sampah pada bar screen secara mekanik dimaksudkan agar pembersihan dapat berlangsung secara efektif dan tidak dibatasi oleh waktu maupun kondisi cuaca di sekitar instalasi air minum. Dari hasil perancangan didapatkan daya motor yang dibutuhkan 1226.936 watt sedangkan tegangan tarik dari pada flexrake hasil dari perhitungan perancangan sebesar . pada perancangan ini juga digunakan material stailess stell AISI 304.Kata Kunci : Perancangan, Mechanical Bar Screen,
Security of a new Hybrid Ciphering System

The protection of privacy is a very sensitive subject and comes into force in all areas. They represent the first priority in the development of new technologies. in fact, opt for a new Big data or IOT technology is a very difficult decision for organizations and calls into question the confidentiality, integrity, authenticity and non-repudiation of their data. Convincing these organizations to adhere to technological intelligence is tantamount to providing them with powerful tools and mechanisms of security that are resistant to new types of vulnerability. However, the problem today is that most security tools are based on old cryptographic primitives. Certainly; they have proved their resistance until today but the need to have others becomes crucial in order to meet the new technological requirements. In this paper, we propose a new hybrid encryption alternative based on two encryption systems, the first one is an evolutionary encryption system and the second one is based on an asymmetric encryption system. To present this work we begin with a description of our evolutionary cipher system. Then, we present the principle of proposed hybridization and its contribution compared to other existing systems. Finally we perform a detailed study on the safety of this system and its long-term resistance.
Multi-Domain Attentive Detection Network

We present a novel object detection method called the multi-domain attentive detection network (MDADN). For robust object detection, we do not only use red, green, and blue (RGB) image data but also infrared data. The MDADN adds attention modules to each layer to weigh multi-domains of data differently in a channel-wise and spatial-wise manner, which yields channel- and spatial-aware networks. The MDADN accurately detects objects (e.g., vehicles) in challenging environments, including nighttime, rainy and foggy days, and environments where even humans find it difficult to detect objects. Experimental results on the FLIR dataset demonstrate that the MDADN outperforms state-of-the-art methods in terms of accuracy and speed. The ablation study shows that the attention module and the fusion of multiple data sources help to considerably improve the accuracy.
DBTCP: A Transmission Mechanism of the Backup for Disaster Recovery in DCNs

End-to-end communication has been widely used in all aspect of our daily lives, and are these applications are mostly rely on data center networks (DCNs), which are served as the core infrastructure for storing and processing a large number of data. Disaster backup, different from general data transmission, has some unique characteristics and requires low latency, high throughput, burst robustness, tight deadline, massive loads and easy deployment, where mass data in DCNs nodes need to be transferred as much as possible and the tight deadline should be meet after the alarm for a potential nature extreme phenomena is sound. This paper first introduces and summarizes the existing transmission mechanisms deployed for DCNs worldwide. Further, we explain the unique characteristics of disaster backup. Then our paper discusses the design idea and proposes the detailed design of the DCN backup TCP (DBTCP), through simulation and evaluation, the results of which displayed in the form of graphs. We are confirmed that the DBTCP designed is capable of making almost all of flows meet the tight deadline under high load and high burst. By carefully investigations implemented in both NS2 and Linux kernel, we notice that DBTCP nearly always outperforms previous presented mechanisms, like DCTCP, D^2TCP. In typical scenarios, DBTCP can reduce missing deadline rate and improve both throughout and robustness when flows burst, keeping the outstanding easy deployment feature of former mechanisms at the same time. The DBTCP proposed in this paper provides a reliable and effective solution, and has a certain reference value for future research.
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds

Incorporating Item Response Theory (IRT) into NLP tasks can provide valuable information about model performance and behavior. Traditionally, IRT models are learned using human response pattern (RP) data, presenting a significant bottleneck for large data sets like those required for training deep neural networks (DNNs). In this work we propose learning IRT models using RPs generated from artificial crowds of DNN models. We demonstrate the effectiveness of learning IRT models using DNN-generated data through quantitative and qualitative analyses for two NLP tasks. Parameters learned from human and machine RPs for natural language inference and sentiment analysis exhibit medium to large positive correlations. We demonstrate a use-case for latent difficulty item parameters, namely training set filtering, and show that using difficulty to sample training data outperforms baseline methods. Finally, we highlight cases where human expectation about item difficulty does not match difficulty as estimated from the machine RPs.
SNITCH: Dynamic Dependent Information Flow Analysis for Independent Java Bytecode

Software testing is the most commonly used technique in the industry to certify the correctness of software systems.This includes security properties like access control and data confidentiality.However, information flow control and the detection of information leaks using tests is a demanding task without the use of specialized monitoring and assessment tools.In this paper, we tackle the challenge of dynamically tracking information flow in third-party Java-based applications using dependent information flow control.Dependent security labels increase the expressiveness of traditional information flow control techniques by allowing to parametrize labels with context-related information and allowing for the specification of more detailed and finegrained policies.Instead of the fixed security lattice used in traditional approaches that defines a fixed set of security compartments, dependent security labels allow for a dynamic lattice that can be extended at runtime, allowing for new security compartments to be defined using context values.We present a specification and instrumentation approach for rewriting JVM compiled code with in-lined reference monitors.To illustrate the proposed approach we use an example and a working prototype, SNITCH.SNITCH operates over the static single assignment language Shimple, an intermediate representation for Java bytecode used in the SOOT framework.
PENERAPAN METODE PERCEPTRON MENGIDENTIFIKASI PENYAKIT TUBERCULOSIS ( TBC ) PRIMER PADA ANAK ( STUDI KASUS PUSKESMAS BAGAN BATU, KAB.ROKAN HILIR, RIAU )

Based on the data from healty ministry of Republic of Indonesia in 2013 said Tuberculosis disease for children now is growing so fast. This TBC is not "contaminate" but still dangerous for the children itself. Perceptron method is the best method in Artificial Intelligence system it can be used in identifying the pattern very well, because this Perceptron method has the learning process that can generate the convergent weight so the output value equal to target every single input. The way to determine the inputs for testing is used the criteria "identified and disidentified", so that in this research applying JST will really helpful doctor in diagnosing early properly, because the result of real diagnosing is really helpful in decreasing the contaminated of Primary TBC. The accuracy with 15 samples of training data produce 60%, while the testing data proving 100% that this method can identify the disease pattern.
Matrix embedding method in match for session-based recommendation

Session based model is widely used in recommend system. It use the user click sequence as input of a Recurrent Neural Network (RNN), and get the output of the RNN network as the vector embedding of the session, and use the inner product of the vector embedding of session and the vector embedding of the next item as the score that is the metric of the interest to the next item. This method can be used for the "match" stage for the recommendation system whose item number is very big by using some index method like KD-Tree or Ball-Tree and etc.. But this method repudiate the variousness of the interest of user in a session. We generated the model to modify the vector embedding of session to a symmetric matrix embedding, that is equivalent to a quadratic form on the vector space of items. The score is builded as the value of the vector embedding of next item under the quadratic form. The eigenvectors of the symmetric matrix embedding corresponding to the positive eigenvalues are conjectured to represent the interests of user in the session. This method can be used for the "match" stage also. The experiments show that this method is better than the method of vector embedding.
Usability Engineering and Evaluation of Usability In District Tourism And Culture Information Systems

So far, the potential of natural resources has not been fully managed by the government or the community. For that we need a mature tourist object planning either by visitors or by developers. Communities need information provided on a mobile basis that can be accessed anywhere. This information is inseparable from the role of technology that supports so that applications can be used by tourists who want to visit either in the form of an address or location. Applications that are worthy of use are applications that have been tested usefulness or called usability. To test a system requires a questionnaire which one of them is SUMI (Software Usability Measurement Inventory). This study uses a method adopted from usability engineering lifecycle. The results of this study in the form of assessment with several criteria, so the application is feasible to use.
THE INFLUENCE OF THINK-TALK-WRITE TECHNIQUE ON STUDENTS’WRITING ABILITY AT THE FIRST GRADE OF SMA NEGERI 1PRINGSEWU

Abstrak. Penelitian ini bertujuan untuk melihat apakah ada pengaruh yang signifikan dari teknik belajar Think-Talk-Write terhadap kemampuan menulis siswa dan apakah setiap aspek menulis meningkat secara signifikan setelah implementasi teknik tersebut. Desain yang digunakan dalam penelitian ini adalah one group pretest –  posttest . Data penelitian diperoleh melalui pretest dan posttest . Hasil penelitian menunjukkan bahwa terdapat pengaruh yang signifikan dari teknik tersebut terhadap kemampuan menulis siswa sebab nilai signifikan yang kurang dari 0.05. Hasil selanjutnya menunjukkan bahwa teknik tersebut memberikan pengaruh yang signifikan terhadap aspek menulis siswa. Hal tersebut menunjukkan bahwa teknik tersebut memfasilitasi siswa untuk meningkatkan kemampuan menulis mereka. Abstract. The aims of this research were to investigate whether there was a significant influence of Think-Talk-Write technique on students’ ability in recount text writing and to find out whether each aspect of students’ writing improved significantly after the implementation of this technique. A one group pretest – posttest design was used in this research. The data were obtained through a pretest and a posttest. The result of this research showed that the students’ ability in recount text writing significantly improved after the implementation of this technique in which the significance value was lower than 0.05. Moreover, it also revealed that there was significant improvement on each aspect of writing after the implementation of this technique. This indicates that Think-Talk-Write technique facilitates the students to improve their writing ability. Keywords : Think-Talk-Write , writing ability, recount text, influence.
ARTIFICIAL INTELLIGENCE AS A LOW-COST SOLUTION FOR MUSEUM VISIT DIGITAL CONTENT ENRICHMENT: THE CASE OF THE FOLKLORE MUSEUM OF XANTHI

Abstract. The on-demand content enrichment of an exhibition center visit is an active applied research domain. This work focuses on the exploitation of mobile devices as an efficient medium to deliver information related to an exhibit or an area within the exhibition center by utilizing machine learning approaches. We present YPOPSEI, an integrated system that formulates the information retrieval task as an image recognition mechanism, enabling visitors to simply capture an entity of interest in order to acquire information similar to a tour-guidance experience via their personal mobile devices. This scheme not only minimizes the additional infrastructure requirements, but additionally enhances the versatility in cases of exhibits topology alterations while still providing high accuracy in terms of image content recognition. Two hybrid approaches are developed that set Convolutional Neural Networks (CNNs) and Bags of VisualWords (BOVWs) to operate in a synergistic and cooperative manner. They are evaluated under real-world conditions on a client-server Web architecture system that experimentally operates within the premises of the Folklore Museum of Xanthi, Greece.
Arabic Language Sentiment Analysis Via Cross-Language Translation

Social platforms on the web give us a huge amount of data like comments, messages, products' reviews and posts. Sentiment analysis on social users' data is a valuable analysis for automatically understanding people's opinions about products or some interesting topics, and this analysis provides valuable information for informed decision making in different domains. Arab web users number is about 200 million users; this huge number represents the strong impact on marketing which makes the sentiment analysis of Arabic language hot topic. This paper proposed an Arabic sentiment analysis model to increase the accuracy of Arabic sentiment analysis. It is based on a cross-language retrieval model. The proposed model was tested on a dataset extracted from twitter and manually sentimentally classified by experts, and it achieved 90.62% accuracy.
Fast Actively Secure Five-Party Computation with Security Beyond Abort.

Secure Multi-party Computation (MPC) with small population and honest majority has drawn focus specifically due to customization in techniques and resulting efficiency that the constructions can offer. In this work, we investigate a wide range of security notions in the five-party setting, tolerating two active corruptions. Being constant-round, our protocols are best suited for real-time, high latency networks such as the Internet. In a minimal setting of pairwise-private channels, we present efficient instantiations with unanimous abort (where either all honest parties obtain the output or none of them do) and fairness (where the adversary obtains its output only if all honest parties also receive it). With the presence of an additional broadcast channel (known to be necessary), we present a construction with guaranteed output delivery (where any adversarial behaviour cannot prevent the honest parties from receiving the output). The broadcast communication is minimal and independent of circuit size. In terms of performance (communication and run time), our protocols incur minimal overhead over the best known protocol of Chandran et al. (ACM CCS 2016) that achieves the least security of selective abort. Further, our protocols for fairness and unanimous abort can be extended to n-parties with at most √n corruptions, similar to Chandran et al. Going beyond the most popular honest-majority setting of three parties with one corruption, our results demonstrate feasibility of attaining stronger security notions for more than one active corruption at an expense not too far from the least desired security of selective abort.
Disparity Refinement with Guided Filtering of Soft 3D Cost Function in Multi-view Stereo System

In multi-view stereo systems, occlusions occurs in various viewing directions. In occlusion image areas, disparity estimation is generally inaccurate because the matching cost computation is incorrect. Therefore, correction or refinement of disparity values in the occlusion area is an important issue in the stereo vision study. The soft 3D reconstruction method, recently introduced by Google, refines inaccurate disparity values in the occlusion areas by using the probability of visibility (PV) in every image pixels. The probability of visibility is computed using initial disparity maps of a multi-view stereo system. Then, the probability is refined using a guide filter. The guide of the filter is the reference color image. However, the color image can include noise due to the viewing direction of the reference camera, light reflection, etc. Therefore, the probability is affected by the image noise. In this paper, we propose a disparity refinement method to enhance the performance of the original soft 3D reconstruction by adopting bilaterally filtered color images as the guide image. The bilateral filter preserves image edge while color noise are minimized by Gaussian smoothing. The filtered color image is used as the guide filter when computing a 3D probability volume of visibility in the soft 3D reconstruction. In experiments, we reconstruct 3D point cloud with the refined disparity maps.
An Analysis of Racial Discriminations as Seen in Kathryn Stokett’s Novel The Help

The problem in this analysis is the existence of black racial discrimination by white people who consider themselves more powerful than the black race. This is illustrated in the novel The Help through the treatment of white employers against their helpers, the black race. In this analysis, the author wants to analyze discriminatory actions, causes and effects of racial discrimination in the novel The HelpIn this analysis, descriptive research is taken as a method of data collection. As for the method of data analysis, the authors conducted qualitative methods with understanding the novel. Data collection techniques use qualitative techniques by taking notes in collecting primary data. In data analysis techniques, the author uses structuralism method techniques by interpreting data.The results of this research are: 1) there are elements and acts of discrimination and segregation from white employers to black maids and also various racist actions towards other blacks described in the novel. 2) the cause of racial discriminations in this novel stems from Hilly's idea of making separate toilets with black maids 3) The effect of this racial discriminations is the publication of the novel The Help in Mississippi, the changing viewpoint of their employers and helpers and vice versa.