Reviewerly/exHarmony huggingface dataset:
Earthquake Early Warning and Beyond: Systems Challenges in Smartphone-based Seismic Network

Earthquake Early Warning (EEW) systems can effectively reduce fatalities, injuries, and damages caused by earthquakes. Current EEW systems are mostly based on traditional seismic and geodetic networks, and exist only in a few countries due to the high cost of installing and maintaining such systems. The MyShake system takes a different approach and turns people's smartphones into portable seismic sensors to detect earthquake-like motions. However, to issue EEW messages with high accuracy and low latency in the real world, we need to address a number of challenges related to mobile computing. In this paper, we first summarize our experience building and deploying the MyShake system, then focus on two key challenges for smartphone-based EEW (sensing heterogeneity and user/system dynamics) and some preliminary exploration. We also discuss other challenges and new research directions associated with smartphone-based seismic network.
Simulation of Obstacle Avoidance for Auto Guided Land Vehicle

This research is concerned with designing and simulating an auto control system for a car provided with obstacle avoidance sensors. This car is able to pass through predefined path an around the detected obstacles, and then come back to the intended path. The IR sensor detects the existence of the obstacle through an assumed range of detection, while the visual sensor (camera) feeds back an image including the path that contains  an obstacle, which can be useful for determining the obstacle's length, speed, and direction. According to such information, the controller creates transient away point along the longitudinal axis of the obstacle which is the same as the transverse axis of the simulator path at an assumed distance from the obstacle. The robotic car will direct toward the transient point for avoiding the obstacle, which directly comeback into the original rout once when reaching the transient point. This strategy enables the car to move far away from the obstacle and then return it into planned path.
Angrepp av företagshemligheter och skadestånd - En undersökning om skydd för företagshemligheter

In order to harmonize the protection of sensitive information in business and academic settings, the European Parliament in 2016 adopted a directive on the protection of trade secrets. Sweden already had a law since 1990 to similar effect, but in order to implement the directive, Swedish legislators introduced a new law that entered into force on 1 July 2018. The new law retains many of the legal rules that the old law had but the introduction of the EU directive has also resulted in some significant changes. For employees, there is a greater change that under certain circumstances they may be liable for damages also for holding company secrets. In the same way as before, professional skills and experience is not a trade secret under the new law. The liability for the employee remains severely restricted after termination of employment. For employers, there is a higher requirement for clarity and active measures regarding what constitutes a trade secret and its protection. The new law makes it easier to seek damages from third parties, such as a new employer. Unlike the old law, research institutions are protected in the new law. This fact will however have little effect in Sweden since universities and colleges in the country under most circumstances follow the principle of public access to official records. (Less)
SCSU Research Guides: TSL503: Second Language Acquisition: Home

This guide displays tools for students in TSL503 to complete assignments in their course. The guide gives search strategies for using Linguistics & Language Behavior Abstracts (LLBA), other databases, and resources in the library.
Research on the Structure of Financial Cloud Platform of People’s Armed Police

As a revolutionary emerging technology, the financial cloud integrates the advantages of cloud computing involved providing service on demand, mass storage and low cost and the advantages of financial sharing service model included efficient business process, centralized information and serving the overall strategy. The financial cloud can provide new model for the financial information transformation of PAP. Based on the theoretical basis of cloud computing and financial sharing services, this paper puts forward the definition of the financial cloud of the armed police, and explains the practical value of constructing the financial cloud from the two aspects of necessity and feasibility. The basic architecture of the financial cloud of PAP includes cloud data center, R&amp;D and information security center, online sharing business platform and service terminal. The system composition, function, business process and correlation of each part of the financial cloud are designed preliminarily. Finally the paper analyzes the advantages of the financial cloud model synthetically and forecasts the prospect of the financial cloud.
Electromagnetic surgical navigation system for open liver surgery: preliminary results

Background: Due to the lack of real-time information on tumor localization and patient-specific anatomy during liver resections, 2 to 23% of procedures result in irradical resections. To improve radical resections rates and reduce morbidity, we introduce and evaluate an in-house-developed electromagnetic (EM) navigation system for real-time visualization and guidance during open liver surgery.
Response to Justin Buchler’s review of <i>Taming Intuition: How Reflection Minimizes Partisan Reasoning and Promotes Democratic Accountability</i>

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PENGARUH PENGGUNAAN STRATEGI SEPAK BOLA VERBAL DENGAN MEDIA KARTU SOAL TERHADAP HASIL BELAJAR SISWA PADA MATERI SISTEM PENCERNAAN KELAS XI MIA SMAN 1 TINAMBUNG KABUPATEN POLEWALI MANDAR

This study aims at (1) knowing student learning outcomes in digestive system material using Verbal Soccer Strategy (2) knowing student learning outcomes in digestive system material using Media Card Problem (3) knowing the effect of using Verbal Soccer Strategy with Media Cards Problem with results student learning in the digestive system material class XI MIA SMAN 1 Tinambung Polewali Mandar district. This research is a Quasi-Experimental type with the research design used is the Nonequivalent Control Group Design. The population in the study were all students of class XI MIA SMAN 1 Tinambung, amounting to 123 people in 4 classes. The research sample consisted of 58 people selected from two classes using thetechnique Multi-Stage Random Sampling. Data collection techniques using research instruments in the form of multiple choice tests as many as 20 questions. The data analysis technique used is descriptive statistical analysis and inferential statistical analysis with a paired sample t-test. The results showed the average learning outcomes of students taught using verbal soccer strategies of = 75.69 while the average learning outcomes of students taught using question card media amounted to = 50.34. Inferential analysis results obtained by the value of F. arithmetic (0,000) <F. table (0,05). This shows that there is a positive and significant effect of using verbal soccer strategies with question card media on student learning outcomes in digestive system material class XI MIA SMAN 1 Tinambung Polewali Mandar Regency.
Artificially intelligent law

This paper explores a series of thought experiments that postulate the ex-istence of “artificially intelligent law.” An artificially-intelligent legal system is de-fined as one with three functional capacities: 1. The system has the capacity to gen-erate legal norms. 2. The system has the capacity to apply the legal norms that it generates. 3. The system has the capacity to use deep learning to modify the legal norms that it generates. The paper then considers the question whether such a sys-tem would be desirable as a matter of legitimacy and justice. The core idea of the paper is that the key to the evaluation of artificially intelligent law is to focus on the functional capacities of the system in comparison to comparable human systems, such as regulatory agencies.
Survey feedback relating to the paper: Analysis of an automatic grading system within first year Computer Science programming modules

Survey feedback relating to the paper: Analysis of an automatic grading system within first year Computer Science programming modules
Securing Electronic Voting System Using Crystographic Technique

Telemedicine application mostly takes place in advance settlements, where important medical information is to be effectively secured and transmitted on public networks. Whilst the data is accessed by an illegitimate individual, it may lead to malicious attack or any modification of medical image can result in misdiagnosis. The notion of medical information storage in automated form arose immediate concerns about healthcare data security and privacy. The need to design a secure distributed system to provide adequate authentication of patient data and confidentiality of patient medical record becomes imminent. This paper addresses confidentiality issues of electronic health record (EHR) in clinic tele-diagnostic system using crystographic technique. The developed crystographic algorithm embraces discrete wavelet transform (DWT) steganography technique instead of the traditional least significant bit (LSB) technique thereby providing required data robustness, payload capacity and imperceptibility of patient data over tele-consultation in Tele-clinic diagnostic scenario. Results of quantitative performance evaluation of host medical image of the EHR system showed an encrypted imperceptible and robust stego image of peak signal to noise ratio (PSNR) greater than 40 db. Results of evaluation portray a system capable of providing countermeasures against eavesdropping attack in data communication networks in clinic tele-consultations.
USING VIDEOS FOR VOCABULARY IMPROVEMENT IN ENGLISH CLASSES AS AN ADDITIONAL LANGUAGE

It is fact that technology has a great impact and effect on learning processes. This article aims at verifying if students are able to learn and retain vocabulary just by watching videos. Over and over, students suggest the use of videos in the classroom, but are they really effective or are they only used for students’ entertainment? Based on authors such as Muslem (2017), Mc Nulty (2012) and Wang (2015), we realize that videos increase fluency and stimulate the appropriate pronunciation of English language learners. In addition, videos combine visual and audio stimuli, are accessible to those who have not learned to read and write well, and provide context for learning (Fazey, 1999; Johnston, 1999; Burt, 1999). In the first moment of this research, students are exposed to a quiz in which they have to choose the correct meaning for a certain word or phrase. In the second phase, the same pupils watch 5 different videos, chosen by them before the first quiz from a YouTube channel. Last but not least, students answer a questionnaire again to check how much they have learned and retained new vocabulary. We notice that, possibly, students do not learn new vocabulary just by being exposed to videos, without meaningful pre, while and post activities. Keywords: Additional Language Teaching. English vocabulary acquisition. Videos in classroom.RESUMOÉ fato que a tecnologia tem grande impacto e efeito nos processos de aprendizagem. Este artigo visa verificar se os alunos são capazes de aprender e reter vocabulário somente assistindo vídeos. Cada vez mais os alunos sugerem o uso de vídeos em sala de aula. Contudo, vídeos são realmente eficazes ou são usados somente para o entretenimento dos alunos? Baseado em autores como Muslem (2017) e Mc Nulty (2012), percebemos que vídeos melhoram a fluência e estimulam a pronúncia adequada dos aprendizes da língua inglesa. Além disso, vídeos combinam estímulo visual e sonoro, são acessíveis àqueles que ainda não aprenderam a escrever e ler adequadamente, e proporcionam contexto para a aprendizagem (Fazey, 1999; Johnston, 1999). No primeiro momento desta pesquisa, os alunos são expostos a um questionário no qual eles têm que escolher o significado correto de determinada palavra ou expressão. Na segunda fase, os mesmos estudantes assistem a 5 vídeos diferentes, escolhidos por eles, antes do primeiro questionário, de um canal do YouTube. Por último, os alunos respondem novamente ao questionário a fim de verificar o quanto eles aprenderam e retiveram o novo vocabulário. Percebemos que, possivelmente, os alunos não aprendem novas palavras de vocabulário somente através de sua exposição a vídeos, sem que realizem atividades relacionadas a eles antes, durante e depois de assisti-los. Palavras-chave: Ensino de língua adicional. Aquisição de vocabulário em língua inglesa. Vídeos em sala de aula.
Continuous Method for Solution of Gravity Prospecting Problems

The continuous operator method for solving operator equations is presented. An applications of the continuous operator method for solving linear and nonlinear inverse problems of logarithmic and Newtonian potentials are given.
TEACHING WRITING PERSONAL RECOUNT TEXT THROUGH THE STUDENTS’ PERSONAL PHOTOGRAPH AT THE EIGHTH GRADE OF JUNIOR HIGH SCHOOL 9 KENDARI

The present study aimed to examine whether there was a significant effect of teaching writing personal recount text through the students’ personal photograph at the eighth grade of Junior High School 9 Kendari. The population of this study was the entire the eighth grade students of Junior High School 9 Kendari who enrolled in academic year 2012/2013. This research involved 34 students at class VIII5. The instrument of this research was writing text in recount genre. And the criteria of students’ writing were assessed from three aspects of writing composition, namely vocabulary, language use, and mechanic. The data were obtained from two essay writing tests. The data of the pre-test and post-test were analyzed through descriptive and inferential statistics. After the data were tested and found to be normal, the hypothesis was tested by using analysis of paired sample t-test. The result indicated that teaching writing personal recount text through the students’ personal photograph had a positive significant effect on students’ writing ability, especially on vocabulary aspect 70%, language use aspect 50%, and mechanics aspect 20%. It proved on mean of students’ final score was increased 19.5 from 57.41 in pre-test became 76.91 in post-test, the hypothesis testing was found that the probability value or (p value) was .000<0.05 or (p<0.05) and the calculation of tcount(13.893) was more than ttable (1.692) at the level significance (0.05) and (df) = 33. Therefore, it indicated that H0 was rejected and H1 was accepted. Therefore, it can be summed up that teaching writing through the students’ personal photograph had a positive effect at the eighth grade of Junior High School 9 Kendari.
Intra-Optimised Lightweight Enciphering Algorithm based on MQTT Protocol for Internet of Things Secure Application

Recent advances in technology have led to rapid growth of Internet of Things (IoT) systems which incorporate numerous miniaturized low powered devices with large numbers of sensors and actuators collecting and exchanging data autonomously over the internet generating enormous amounts of data that needs to be secured. Traditional encryption algorithms are not suitable due to great complexity and numerous rounds for encryption and decryption operations. There is however a rising need for elaborate lightweight encryption algorithms with less complexity for optimum security in resource constrained communication networks. In this paper, a lightweight encryption algorithm called Intra-Optimized Lightweight Enciphering (ILE) Algorithm is proposed. The proposed scheme is complemented by watchdogs who are deployed in the clusters to achieve optimum security for the overall generated clusters at less cost and is simulated on Message Queue Telemetry Transport (MQTT) protocol using Mosquito broker in Cooja simulator and the performance was evaluated. Results from simulations show that the proposed algorithm offers significant security, improved performance and power drain without compromising the quality of service and further a comparison was made with existing lightweight algorithms.
Adaptive background modelling technique for moving object detection in video under dynamic environment

This work proposes a novel method for detection of motion based object having dynamic scenario in the background.The suggested scheme has a strong potential for real-time applications especially for rafting, river, sea-beach, swimming pools, ponds, etc. Apart from these, this work is very beneficial for surveillance of border, tunnel, traffic in the sea, forest, restricted zones, deep zones, etc.This work develops a statistical p based background subtraction method and implemented in three stages.In the first stage, a background model is developed using few initial frames.In the second stage, this work classifies the foreground using the difference frame and the appropriate threshold value.An automatic threshold value is generated at run-time and updated iteratively.It also reduces the problem of using a constant threshold.In the third stage, morphological filters and connected component based region filtering technique is applied to enhance the detection quality.The extensive experimental result shows more accurate results of proposed method.It also demonstrates better performance against considered state-of-the-art methods.
A Machine Vision-Based Multifunctional Image Processing Platform

With the development of society, robots gradually replace the human beings. The research of machine vision sensing is particularly important. This paper combines the open-source and the free OpenCV2.4.9 computer vision library, Daheng Imavision, and its development kit and VS2013 to achieve the docking. The format conversion of image data captured by industrial Imavision is successful, which adapts to the direct processing of image by OpenCV library function. In order to ensure the accuracy of image captured and processed, the camera is calibrated and corrected based on the platform. Based on MFC interface, modules such as “sub-pixel corner detection and processing,” “mouse center point extraction,” and “measurement of plane and stereoscopic distance” are developed. Combined with the OpenCV library function, a series of algorithm is developed to implement the interface function. The experimental verification and error analysis are carried out by using the captured image.
Visualization analysis of the cognitive characteristics of service designers based on linkography

The cognitive characteristics of service designers in the design process were analyzed from the perspective of semantic linkages, and the visualization expression method of the cognitive characteristics of service designers was proposed to address the problem of absent references for constructing a high-efficiency service design team from a design cognition. The proposed method mainly determined the cognitive activity level of designers through link entropy, which was calculated on the basis of linkography. The proposed method also quantified the degrees of interaction and cooperation among designers from the cognitive activity relationship of the design team, which was constructed on the basis of linkography. An experiment based on design of transport service for thin-walled parts was conducted. Results showed that the proposed method can quantify a design cognition process, analyze cognitive features of designers effectively, and determine the compatibility among designers. The cognitive features of designers will provide scientific references for optimizing the design team.
Research on Hospital Information Integration

The traditional integration scheme has some disadvantages, such as complexity, high coupling degree of each system and large modification to the original system. The system integration platform is the combination of software and hardware, and it is the bridge and intermediary between various systems. Application system integration is realized through the integration platform, which forms a topology between the integration platform and each application system. Information interaction between systems is achieved through messaging. The medical supervision system should be set up. Development of a medical information management system includes integrated framework of medical security management system, dispute assessment system and protocol disposal system.
Fuzzy Activation of Rough Cognitive Ensembles Using OWA Operators

Rough Cognitive Ensembles (RCEs) can be defined as a multiclassifier system composed of a set of Rough Cognitive Networks (RCNs), each operating at a different granularity degree. While this model is capable of outperforming several traditional classifiers reported in the literature, there is still room for enhancing its performance. In this paper, we propose a fuzzy strategy to activate the RCN input neurons before performing the inference process. This fuzzy activation mechanism essentially quantifies the extent to which an object belongs to the intersection between its similarity class and each granular region in the RCN topology. The numerical simulations have shown that the improved ensemble classifier significantly outperforms the original RCE model for the adopted datasets. After comparing the proposed model to 14 well-known classifiers, the experimental evidence confirms that our scheme yields very promising classification rates.
Literature Review on Load Balancing Techniques

In the cloud storage, Load balancing is one of the central issues in cloud computing. It is a mechanism that distributes the dynamic local workload evenly across all the nodes in the whole cloud to avoid a situation where some nodes are heavily loaded while others are idle or doing little work. It helps to achieve a high user satisfaction and resource utilization ratio, hence improving the overall performance and resource utility of the system. It also ensures that every computing resource is distributed efficiently and fairly. In cloud system the resources are distributed to all computer nodes fairly and in efficiently manner. If a node has extra workload as comparison of other nodes then we use load balancing techniques or process for transferring the extra load of nodes to others networks node. This paper provides literature review of various load balancing algorithms in cloud computing.