Reviewerly/exHarmony huggingface dataset:
Gateway–based Threshold Distributed Energy Efficient Clustering (G-TDEEC)

Wireless sensor network basically is made up of several sensor nodes that sense physical quantities such as temperature and pressure in a physical environment, capture these quantities and relay the data to another node called the Base station(BS).The transmission of the sensed information from the deployment area to the BS has been observed to drain the limited energy resource of the sensor nodes.Some researchers are of the view that, placing the BS at the centre of the sensing field will sufficiently reduce the energy consumption during data transmission.Base on this, some of the descendants of DEEC protocol such as TDEEC (Threshold Distributed Energy Efficient Clustering) protocol also placed the BS at the centre of the deployment field to conserve network energy.So what happens to TDEEC scheme if it was to be deployed at a place such as military surveillance where the BS may be far from the sensing field?In this research work, a gateway-based TDEEC, G-TDEEC protocol is proposed.The new scheme introduced a gateway at the centre of the sensing area and then installed the BS far away from the sensing field.The cluster heads relay their data to the gateway which will then aggregate the data and then send the final report to the BS.Simulation was performed to assess the performance of the proposed protocol and the TDEEC scheme using MatLab 2017a.The simulation results showed that, the proposed protocol performed better than the existing scheme in terms of stability period, throughput, residual energy and the network lifetime.
Proceedings of the 2018 COLOSS Conference

These proceedings represent the 23 abstracts showcased at the 2018 COLOSS Conference as either posters or Core Project/Task Force updates. The event was hosted by the University of Ghent in Ghent, ...
No-reference image sharpness assessment via difference quotients

Sharpness is an important indicator to evaluate image quality or to optimize parameters in computer vision tasks, such as image acquisition, compression, and restoration. We utilize difference quotients to construct an absolute difference quotient and a relative difference quotient to evaluate the sharpness among images containing difference contents and the sharpness among pixels in the same image, respectively. Based on the constructed quotients, we estimate the pixel sharpness index and the image block sharpness index and create a single sharpness index as the overall sharpness of an image by pooling strategy. Our quotient-based methods can assess image sharpness effectively and efficiently. Experimental results on four simulated databases with real blurring and synthetic blurring images show the proposed sharpness metric is consistent with subjective sharpness evaluations and is competitive with existing sharpness metrics. It achieves a balance between running time and high performance.
NUANSA MAKNA SINONIM ADJEKTIVA SIKAP BATIN DALAM BAHASA INDONESIA

The purpose of this study was to determine the pair of synonyms and nuances of the meaning of the pair of synonyms of the Indonesian mental attitude adjective. This research is qualitative research using the descriptive method. The data of this study are the basic adjectives of the inner attitude of Indonesian. The results of this study indicate that (1) there are 26 pairs of Indonesian mental attitude adjectives that are proven to be synonymous and (2) all pairs of Indonesian mental attitude adjectives that prove synonymous with meaning nuances. Not all Indonesian mental attitude adjectives that have synonym and most synonymous pairs are adjunctive nuances of meaning on cognitive meaning anda a small part of emotive menaing.
Hybrid Recommender System for Therapy Recommendation

This system provides data-driven therapy recommendation for the patients.Therapy will be recommended to a patient by analysing the response from previous records which are similar to the given patient's record.Two methods for therapy recommendation, namely, Collaborative Recommender and Demographic-based Recommender, were proposed.Both algorithms aim to predict the individual response to different therapy options using diverse patient data and recommend the therapy which is assumed to provide the best outcome for a specific patient and time, that is, consultation.Both methods are evaluated using a clinical database incorporating patients suffering from the autoimmune skin disease psoriasis.The Collaborative Recommender proves to generate both better outcome predictions and recommendation quality.However, due to sparsity in the data, this approach cannot provide recommendations for the entire database.In contrast, the Demographic-based Recommender performs worse on average but covers more consultations.Consequently, both methods profit from a combination into an overall recommender system.In addition to the above proposed system, new Model-based Recommender is proposed and it is compared with the above system to check its efficiency.Model-based Recommender is also proposed to enhance the efficiency of recommendation.Data mining brings the concept of artificial intelligence, data structures, statistics, and database together.It is a high demand area because many organizations and businesses can benefit from it.The large volume of daily captured data in healthcare institutions and out-of-hospital settings opens up new perspectives for Data Mining in healthcare.Due to the amount of the data, its high dimensionality and complex interdependencies within the data, an efficient integration of the available information is only possible using technical aids.So, data-driven Clinical Decision Support Systems (CDSS) are designated to assist physicians or other health professionals during clinical decision-making.
Security analysis of elliptic curves with embedding degree 1 proposed in PLOS ONE 2016

Wang et al. proposed a method for obtaining elliptic curves with embedding degree 1 for securing critical infrastructures, and presented several elliptic curves generated by their method with torsion points of 160 bits and 189 bits orders. They also presented some experimental results and claimed that their implementation of an elliptic curve generated with their method is faster than an implementation for embedded devices presented by Bertoni et al. In this paper, we point out that the security and efficiency claims given by Wang et al. are flawed. Specifically, we show that it is possible to solve finite field discrete logarithm problems defined over their elliptic curves in practice. On the elliptic curves with torsion points of 160 bits orders generated by Wang et al., their instances of finite field discrete logarithm problems are solved in around 4 hours by using a standard desktop PC. On the torsion points of 189 bits orders, their instances are solved in around 10 days by using two standard desktop PCs. The hardness of the finite field discrete logarithm problems is one of the most important bases of security; therefore, their elliptic curves should not be used for cryptographic purposes.
The Case for Ontologies in Expressing Decisions in Decentralized Energy Systems

Advanced in technologies for the decentralization of applications have enabled micro-grid energy systems that do not rely on central control and optimization but are controlled by their owners. This may eventually enable consumers or intermediaries to specify concrete and diverse conditions on the supply that not only concern throughput, price and stability but also elements as provenance (e.g. that energy is produced from renewable sources) or locality among others. Blockchain technologies have emerged as a possible solution for the integration of the stream of events generated by smart meters and networks, providing tamper-proof ledgers for offerings, transactions and traces. However, that requires languages for expressing conditions that might become complex and have to be executed locally. In this paper, we review the state of decentralization in micro-grids and its requirements, and discuss the role of ontologies as support for expressing constraints in those networks.
Experimental Investigation of Heterodyne Quantum Key Distribution in the S-Band Embedded in a Commercial DWDM System

The tolerance of continuous-variable quantum key distribution to co-propagating DWDM channels is investigated. For the experiments, the quantum channel is operated in the S-band and multiplexed with a commercial C-band DWDM system. It is shown that compared to previously proposed configurations, the number of co-propagating channels can be doubled.
The impact of information and communication technologies (ICTs) on academic performance of medical students: an exploratory study

Background: Information and Communication Technology (ICT) has a potential to improve teaching and learning process. There are conflicting reports on the effect of ICT on student`s outcome. Though there is an early indication of positive impact, but the technology has a potential to have a detrimental effect. The present study was taken up to explore the effects of ICT on medical student’s academic performance.Methods: All the second professional students were given the questionnaire. Only 75 students had filled up the questionnaires completely.Results: The study population consisted of 48.00% males and 52.00% females. 97.33% students had smart phones, 44.00% had a laptop too. 10.66% students got less than 50% marks in the second professional examination, 14.66% got 50-59% marks, 62.66% got 60-69% marks and 12.00% got 70% or more marks. A low negative correlation was found between academic performance and possession of a smart phone (r= -0.062), and between academic performance and possession of a laptop (r= -0.029). A moderate negative correlation was found between academic performance and the time spent on a smart phone or laptop (r = -0.309). The correlations between academic performance and gender, and academic performance and the time spent on mobile phones or laptops were found statistically significant (p=0.000 and 0.007 respectively).Conclusions: Though ICT has capabilities of improving student`s academic performance, but it has a potential to have a negative effect if not used rationally. There is a vital need to sensitize the students about the potential academic risks associated with improper use of ICT. Students should be assisted and guided on how to use it judiciously.
Publisher Correction: A database of the coseismic effects following the 30 October 2016 Norcia earthquake in Central Italy

In the original version of the Data Descriptor the surname of author Anne Socquet was misspelled. This has now been corrected in the HTML and PDF versions of the Data Descriptor. Some authors were also not appropriately associated with their affiliations in the HTML version, due to formatting errors made by the publisher. This has now been corrected in the HTML version of the Data Descriptor, the affiliations in the PDF were correct from the time of publication.
Application of a Real-Time Tsunami Forecast System to the Disaster Response of Local Governments during a Major Tsunami Disaster

We applied a real-time tsunami inundation forecast system to a disaster response plan. We developed a standard operating procedure (SOP) for a tsunami disaster response based on a Plan, Do, Check, Action cycle to effectively use tsunami observation and prediction information provided by a real-time tsunami inundation forecast system during an initial response to a tsunami disaster. In the Plan stage, we ran a workshop on the tsunami disaster response to confirm the current tsunami disaster response plan and develop a timeline plan for a tsunami disaster. In the Do stage, we conducted a tabletop exercise (TTX) for a tsunami disaster using a real-time tsunami prediction system. In the Check stage, we ran a workshop on an after-action review of the TTX. In the Action stage, we applied the SOPs of the real-time tsunami prediction system to the tsunami disaster management plan and conducted a second TTX. As a result, we verified the information provided by a real-time tsunami prediction system to apply the system to a tsunami disaster management plan for real municipalities. It was confirmed that the SOP that we developed allows a real-time tsunami inundation forecast system to enable government staff to safely and effectively respond during a disaster.
Failure Disposal by Interaction of the Cross-layer Artificial Intelligence on ONOS-based SDON Platform

We propose a new architecture introducing AI to span the control layer and the data layer in SDON. This demonstration shows the cooperation of the AI engines in two layers in dealing with failure disposal.
Preprocessing 2D data for fast convex hull computations

This paper presents a method to reduce a set of n 2D points to a smaller set of s 2D points with the property that the convex hull on the smaller set is the same as the convex hull of the original bigger set. The paper shows, experimentally, that such reduction accelerates computations; the time it takes to reduce from n down to s points plus the time of computing the convex hull on the s points is less than the time to compute the convex hull on the original set of n points. The method accepts 2D points expressed as real numbers and thus extends our previous method that required points as integers. The method achieves a percentage of reduction of points of over 90% in a collections of four datasets. This amount of reduction provides speedup factors of at least two for various common convex hull algorithms. Theoretically, the reduction method executes in time within O(n) and thus is suitable for preprocessing 2D data before computing the convex hull by any known algorithm.
A NEEDS ANALYSIS OF CHINESE LANGUAGE TEACHING MATERIALS FOR STUDENTS OF BUSINESS AND MANAGEMENT MAJORS IN A VOCATIONAL HIGH SCHOOL

&lt;p&gt;The purpose of this study was to identify the Chinese language teaching materials for students of business and management majors in a vocational high school. This research method was qualitative. The process of collecting data used observation activities, interviews and questionnaires. This study found that the Chinese teaching materials which have been used in a vocational high school especially in business and management majors were still general and not relevant to the needs of students. The results of this study also indicated that the expected design of Chinese language teaching materials should be specifically integrated to the students’ majors and the competency levels of their expertise. In addition, the teaching materials also should be designed with multimedia to support the learning process and students’ experiences.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;BAHASA INDONESIA ABSTRAK: &lt;/strong&gt;Penelitian ini bertujuan untuk mengidentifikasi kebutuhan model materi ajar bahasa Mandarin untuk Sekolah Menengah Kejuruan Bidang Bisnis dan Manajemen. Penelitian ini merupakan penelitian kualitatif dengan proses pengumpulan data melalui observasi, wawancara dan kuesioner. Melalui penelitian ini ditemukan bahwa materi ajar bahasa Mandarin yang selama ini digunakan di Sekolah Menengah Kejuruan Bidang Bisnis dan Manajemen merupakan materi ajar yang bersifat umum dan belum memenuhi kebutuhan siswa. Hasil dari analisis kebutuhan menunjukkan bahwa materi ajar bahasa Mandarin yang diharapkan adalah materi ajar yang terintegrasi dan relevan dengan bidang dan program studi siswa sehingga dapat mendukung keahlian utamanya. Terlebih lagi materi ajar bahasa Mandarin yang diharapkan saat ini adalah materi ajar yang dikemas dengan basis multimedia.&lt;/p&gt;
Mining Contextual Information from Online Consumer Review - The Relationship between Information Gain and Product Sales -

Product sales forecasting is one of the factors that gives significant impact on the company’s sales and production plans. In order to increase the accuracy of sales forecast, companies are trying to reflect the opinions of consumers. In this study, we reconfirm the work of Hwang (2017) which analyzed the consumer review by applying the information gain to predict the product sales. This study is meaningful in that it applies the research model to the automobile market, which is one of the traditional durable goods market. Compared to the smartphone market, which has a short product life cycle, the automobile market has well-defined consumers and products are specifically targeted to each consumer group. In this paper, we verify the applicability and predictive power of proposed methodology of Hwang (2017) using actual market data, and show the relationship between information gain from online consumer review and product sales.
A Novel Feature Selection Measure Partnership-Gain

Multivariate feature selection techniques search for the optimal features subset to reduce the dimensionality and hence the complexity of a classification task. Statistical feature selection techniques measure the mutual correlation between features well as the correlation of each feature to the tar- get feature. However, adding a feature to a feature subset could deteriorate the classification accuracy even though this feature positively correlates to the target class. Although most of existing feature ranking/selection techniques consider the interdependency between features, the nature of interaction be- tween features in relationship to the classification problem is still not well investigated. This study proposes a technique for forward feature selection that calculates the novel measure Partnership-Gain to select a subset of features whose partnership constructively correlates to the target feature classification. Comparative analysis to other well-known techniques shows that the proposed technique has either an enhanced or a comparable classification accuracy on the datasets studied. We present a visualization of the degree and direction of the proposed measure of features’ partnerships for a better understanding of the measure’s nature.
Encounters with HCI Pioneers: A Personal History and Photo Journal

The huge success of personal computing technologies has brought astonishing benefits to individuals, families, communities, businesses, and government, transforming human life, largely for the better.
Analyzing Digital Evidence

In the previous chapter, we’ve covered how to capture/create a forensic image of both RAM and hard drive memories. Now, we are ready to move on to the next part of forensic work, which is analyzing acquired images for interesting leads.
Correction to: Task context load induces reactive cognitive control: An fMRI study on cortical and brain stem activity

The article Task context load induces reactive cognitive control
New Faster R-CNN Neuronal Approach for Face Retrieval

Image features acquired from pre-entrained convolutional neural networks (CNN) are becoming the norm in instance retrieval. This work investigates the relevance of using an object detection CNN like Faster R-CNN as a feature extractor. We built a face retrieval pipeline composed of filtering and re-ranking that uses the objects proposals learned by a Region Proposal Network (RPN) and their associated representations taken from a CNN. Moreover, we study the relevance of Faster R-CNN representations when the network is fine-tuned for the same data that we want to recover. We evaluate the performance of the system with the Labeled Faces in the Wild (LFW) database 13k, the FERET database 3K, and Faces94 database 2k. The results obtained are very encouraging.
Robust Watermarking for Medical Image Against Geometric and Compression Attacks

The security of medical images becomes increasingly important for many reasons such as confidentiality, authentication, and integrity. In this context, the digital watermarking has appeared as a solution to protect the medical data diffused in hospital networks. In this article, we present a robust technique of medical image watermarking of various modalities such as Computed Tomography (CT Scanner), Magnetic Resonance Angiography (MRA), Magnetic Resonance Imaging (MRI), and X-Ray imaging, based on the combination of the Stationary Wavelet Transform (SWT) and the Fast Walsh-Hadamard Transform (FWHT). In our contribution, we have inserted the watermark of size 512 × 512 in the high-frequency subbands of the original image of the same size in order to increase the protection. The experimental results show that our contribution gives a good robustness against geometric and compression attacks compared to other techniques cited in the literature.
Three-dimensional structured light profilometry using a bandwidth-limited projector

We propose a bandwidth-limited imaging system based on a digital micromirror device (DMD) for three-dimensional (3D) structured light profilometry. By using an error diffusion algorithm with optical low-pass filtering, we obtain high-quality sinusoidal fringe patterns without mirror dithering. An N-step phase-shifting algorithm is then used to recover depth information from objects. Using our bandwidth-limited projector, we demonstrate 3D profilometry of a static object.
Renewing Art Education Philosophy in Light of Twenty-First Century Skills

The problem of renewing the philosophy of teaching art education in the light of 21st century skills. Art education at the global level is facing many and many challenges as a result of the tremendous changes in the way knowledge and information are exchanged, in which technology plays a large role because of the necessity of its existence at various scientific levels. These challenges required a comprehensive review of the educational system and philosophy in general And in particular technical education, which in turn lead to the development of advanced courses and innovative work to prepare a learner is able to absorb better, in addition to it makes the educational process an interesting process for the learner and by integrating those courses study With 21st century skills and information technology, which in turn improves the outcomes of the learning process and the quality of education.&#x0D; Research problem: The researcher found through the study of international and international research of the 21st century skills and information technology to be applied in the curricula of different fields, because it is important for the students as it earns and trains them on life and work skills to bring out a person who is more capable of dealing smartly in life and linking them to the curriculum. As well as their application to the labor market.&#x0D; Therefore, the problem of this research lies in the following question: To what extent is it possible to implement a program based on the integration of information technology and art education curricula in the light of 21st century skills to bring out a learner capable of keeping pace with the labor market?&#x0D; Research goals: The research aims to: &#x0D; - Prepare a student capable of keeping pace with the labor market through the application of the skills of the 21st century by international standards in the curricula of art education.&#x0D; - to highlight the skills of the twenty-first century of high value that contribute to the output of a learner capable of achieving professional success in the labor market.&#x0D; Research importance: &#x0D; - keep up with information technology through integration with the curriculum of art education&#x0D; - Use the skills of the twenty-first century in teaching the curriculum of art education&#x0D; - Stimulate educational institutions to apply the skills of the twenty-first century and mechanisms to achieve the vision of the Kingdom 2030 in the field of education.