Reviewerly/exHarmony huggingface dataset:
Analytical Modelling of Cyber-physical Systems

In connection with anomaly detection in cyber-physical systems, we suggest in this paper a new way of modelling large systems consisting of a huge number of sensors, actuators and controllers. We base the approach on analytical methods usually used in kinetic gas theory, where one tries to describe the overall behaviour of a gas without looking at each molecule separately. We model the system as a multi-agent network and derive predictions on the behaviour of the network as a whole. These predictions can then be used to monitor the operation of the system. If the deviation between the predictions and the measured attributes of the operational cyber-physical system is sufficiently large, the monitoring system can raise an alarm. This way of modelling the normal behaviour of a cyber-physical system has the advantage over machine learning methods mainly used for this purpose, that it is not based on the effective operation of the system during a training phase, but rather on the specification of the system and its intended use. It will detect anomalies in the system’s operation independent of its source – may it be an attack, a malfunction or a faulty implementation.
TrustedDW: A New Framework to Securely Hosting Data Warehouse in the Cloud

Nowadays cloud computing become the most popular technology in the area of IT industry. It provides computing power, storage, network and software as a service. While building, a data warehouse typically necessitates an important initial investment. With the cloud pay-as-you-go model, BI system can benefit from this new technology. But, as every new technology, cloud computing brings its own risks in term of security. Because some security issues are inherited from classical architectures, some traditional security solutions are used to protect outsourced data. Unfortunately, those solutions are not enough and cannot guarantee the privacy of sensitive data hosted in the Cloud. In particular, in the case of data warehouse, using traditional encryption solutions cannot be practical because those solutions induce a heavy overhead in terms of data storage and query performance. So, a suitable schema must be proposed in order to balance the security and the performance of data warehouse hosted in the cloud. In this paper, we propose (TrustedDW) a homomorphic encryption schema for securing and querying a data warehouse hosted in the cloud.
2019 MTT-S Awards

Presents the recipients of various 2019 MTTS society awards that were presented at the 2019 IMS Conference.
Education Plans for Adverbs of Degree based on the Analysis of Their Use Patterns among Korean Learners : Error patterns in writings

This study aimed to analyze the use patterns and errors in adverbs of degree in writing by Korean learners and search for effective education plans for them. The analysis results of their use patterns show that a majority of learners only use certain adverbs of degree instead of various ones. They made many errors with word order, substitution of adnominals and adverbs, and also substitution of synonyms when using adverbs of degree. The study proposed some education plans by error type to help learners reduce errors and encourage them to use various adverbs of degree, which include education on the syntactic functions of adverbs of degree to prevent errors with word order and substitution of adnominals and adverbs and on synonyms between adverbs of degree to prevent errors with the substitution of synonyms.
Value Creation in Service-Based States of Business Relationships

The following sections are included: Introduction Value and Value Drivers in a Relationship Context Methodology Results Conclusions Appendix: An Overview of the Conceptualization of Value Drivers R ...
Smartwatch Design History, Concepts, Terms, and Installation

In this first chapter of the Smartwatch Design Fundamentals book, let’s look at the history of some of the popular smartwatches of the past decade, some of the concepts involved with smartwatches, as well as popular terminology used for watch face design components.
Knowledge elicitation as abstraction of purposive behaviour

Researchers use knowledge elicitation methods to document expert knowledge for the primary purpose of understanding cognitive processes and with this understanding, technical solutions to resolve h ...
Forecasting Seismicity from Wastewater Disposal in Oklahoma

Mandated wastewater injection reductions in effect since 2016 are inadequate for preventing future, large-magnitude earthquakes in the state, according to a new induced seismicity model.
A Cloud Datum Management System Based on QR Code

Realize obtain and modify big data from the simple scan the QR Code. Carved the QR sign on a big machinery equipment and used terminal device to scan it. Through the Customer Premises Device to scan the QR. Read the data stored in the Cloud. Making equipment could read the data immediately when maintain in the future across the Cloud, safety and efficiently. Bring huge business opportunity and benefit to the enterprise.
From a Swarm to a Biological Computer

According to behaviourism, any swarm behaviour can be managed by outer stimuli: attractants (motivational reinforcement) and repellents (motivational punishment). In the meanwhile, there are the following two main stages in reactions to stimuli: (i) sensing (perceiving signals) and (ii) motoring (appropriate direct reactions to signals). Hence, by placing attractants and repellents at different sites we can manage and program the swarm behaviour. This opportunity allows us to design a biological computer – an abstract machine (i) with inputs presented by stimuli coming from attractants and repellents and (ii) with outputs presented by the swarm reactions to appropriate stimuli. This computer can be realized on different swarms differently. The point is that different matters are attractants and repellents for different animals. They differ a lot even for microorganisms. Nevertheless, their logic and mathematics are the same. Behaviourism means that (i) the complex of swarm behavioural patterns can be reduced to a composition of some elementary swarm patterns, (ii) if we know an appropriate attractant or repellent for each elementary pattern, then from a complex of attractants and repellents we can deduce a complex of patterns. Nevertheless, it can be shown that both assumptions are false. The point is that swarms are populations which behave as a distributed network, capable of responding to a wide range of spatially represented stimuli so that in their behaviours we can observe effects of neural networks with lateral activation and lateral inhibition mechanisms. As a result, behavioral patterns cannot be additive. In the paper it is discussed what we can do with this feature of swarm behaviour to program swarms.
Method of Mobile Robot Navigation for Positioning on the Road in Forest Area

The article is devoted to the method of processing data from a laser scanner for solving a navigation problem when a mobile robot moves along a road on rough and wooded terrain, as well as the task of avoiding obstacles. A comparative analysis of methods for solving these problems. It is shown that the proposed method allows not only to solve the problem of fast and efficient identification of the road boundaries when a mobile robot moves across rough and wooded areas, but also to identify the presence of an obstacle along the way and distance to it.
Symbolic Aggregate approXimation-Local Binary Pattern Feature Descriptor Combination for Automatic Facial Expression Recognition

Automatic identification of facial expression is a significant research area which is anticipated for real time processing in Human-Computer Interaction domain.Along with an efficient classifier for assigning the class label to each of the input face image, it is very necessary to have a strong feature vector for training the classifier.This paper proposes an effectual combination of Local Binary Pattern and Symbolic Aggregate approXimation method for the feature vector generation for the classifier.Twenty one facial patches are extracted from the face image and the LBP value and SAX string for these twenty one patches are utilised for feature vector generation.The feature vectors of images are submitted to the Ensemble Bag classifier for training purpose.Images which were not used for training is used for testing.An average accuracy of 98.7% was obtained when tested on JAFFE data set for seven expressions and an accuracy of 96.96% was obtained for nine expressions on fused database.A detailed analysis of the testing conducted on images with partial occlusion and illumination variance are presented here.
PEMBUATAN MEDIA IKLAN BERBASIS VIDEO MENGGUNAKAN SONY VEGAS PRO 13 UNTUK PENINGKATAN PENJUALAN DI ISTANA OLEH-OLEH BRAWIJAYA KOTA BATU

This research aims is to develop a promotion media that is video for increasing the sales in Istana Oleh Oleh Brawijaya Batu. Type of research in this study was Action Research. Ads Video was created by Sony Vegas Pro 13 application. The interview, questionnaires , observation and documentation were used as data collection methods. The unit of analysis was from the experts , owners and and prospective consumers for data analysis the researcher used EPIC Rate as the measurement scale.. This research had 2 cycles. the first cycle showed that the ads was pretty good but needed some improvement. Then it continued with the second cycle, where in this cycle the ads video was good and feasible to be published and can be said effective from the results of EPIC analysis with the value of EPIC rate 4.13.
Smart medicationtm - A Pilot Study for Investigating the Feasibility of Speech Recognition of Natural Language to Access Electronic Patient Diary

Background: smart medicationTM was successfully implemented in haemophilia home treatment. Until now patients enter treatment data using either a smartphone-app or a web-browser. The aim of this study was to analyse and evaluate the use of speech recognition as an additional interface to the electronic diary.
Integrating an Association Rule Mining Agent in an ERP System: A Proposal and a Computational Scalability Analysis

Deployment flexibility, low development cost, and value-adding tools are some of the features that developers are looking for in ERP systems. Modularization through software agents is one way of achieving these objectives. In this sense, the present paper proposes the planning, implementation and integration of a software agent for association rule mining into an ERP system. The development and use of tools for all Knowledge Discovery in Databases (KDD) phases (pre-processing, data mining and post-processing), will be presented. This includes input data, file loading for the agent processing, use of the Apriori association rule mining algorithm, generation of output files with association rules, use of agent outputs for database storage and use of the stored data by the item recommendation tool. Experiments were carried out focusing the assessment of the running profile for databases of different sizes and using different computational architectures.
THE LONG-RUN RELATIONSHIP BETWEEN OUTPUT, MONEY, AND PRICES: EMPIRICAL EVIDENCE FROM SYRIA.

The aim of this study is to examine the long-run relationship between nominal GDP, money supply and inflation rate in Syria over the period 1980-2012.Using annual data, the Johansen Co-integration analysis was applied in order to investigate the long-run relationship between the variables in question.The results revealed that there is a long-run equilibrium relationship between the three variables.More specifically, the GDP is positively related to money supply but negatively related to inflation over the long run.Similarly, inflation is positively related to money supply but negatively related to GDP.However, money supply is positively related to both GDP and inflation over the long run.Copy Right, IJAR, 2019,.
New Dimensions of an Old Dilemma : Hate Speech and Freedom of Expression

Unfolding the history of one of the oldest human val-ues, the freedom of expression, while defining its limits, is a complicated task. Does freedom stop where hate starts? This very old dilemma is -now more than ever before- revealing new dimensions. Politicians and new laws aim at regulating free expression, while disagree-ments over such regulation gradually become a source of endless conflict in newly formed multicultural, inter-connected, and digitized societies. The example of the Network Enforcement Act is used to understand the idea of restrictive legal practices in Germany, but also to enlighten the fact that law is a human construction which was created in order to regulate communication among individuals. Alternative practices, to straight legal ones, are summarized to show other dimensions of regulating hate speech without involving top-down approaches. The article proposes the approach of re-storative justice as a combination of legal and medita-tive practices in cases of hate speech. One advantage of the restorative justice approach elaborated in this arti-cle is the potential to remedy the inner hate and the pain, both of the victim and perpetrator. Finally, reveal-ing parts of history and new aspects of the ‘hate speech-puzzle’, leads to a questioning of contemporary social structures that possibly generate hate itself.
The Implausibility of Gnus

The Implausibility of Gnus Dylan Carpenter Each time the implausibilityOf gnus would gallop pastThe wiry thorn trees under whichThe black-backed jackals massed, The air would tense, the earth would shake,The rattlesnakes would shedTheir flaky, diamond-banded skinAnd swarm a copperhead. Once, the black-backed jackals dashedOut from the thorn tree standAnd chased the implausibilityOf gnus from the desert land And thus the implausibilityOf gnus stopped galloping pastThe fractal thorn trees under whichThe black-backed jackals massed. [End Page 127] Dylan Carpenter Murcia Spain Copyright © 2019 Johns Hopkins University Press
Training on the Use of Free Licensed Open Office Calc Applications for Student Progress Reports for Kindergarten Teachers in South Kembangan [Pelatihan Penggunaan Aplikasi Open Office Calc yang Berlisensi Bebas untuk Laporan Kemajuan Siswa bagi Guru TK di Kembangan Selatan]

Education institutions already used the computer but not effective. Many functions and facilities in computer applications are not used because of user knowledge. One almost cannot find open source application in education institutions. Information about open source application is rare and the user even does not know about the application’s license. Training on teacher and administration staff of preschool in Kembangan Selatan use open source application Calc. Student report for a parent is a goal in the training. Training participants are satisfied because all information is useful. The questionnaire is a method to evaluate this activity.
Speech and Oppression

This chapter applies our understanding of covert exercitives to an example of sexist speech. The nature of oppression is clarified. Two models of oppressive speech are identified. The first model is authoritative and involves a standard exercitive speech act. Instances of this sort of oppressive speech must satisfy the felicity conditions of standard exercitives. The second model of oppressive speech involves a covert exercitive. With the second model, it is shown that an offhand sexist remark can be oppressive even though the speaker does not intend to oppress, the speaker does not have any particular authority, and the remark is not aimed at the persons oppressed by it. The chapter concludes with an exploration of various objections to the model of covertly oppressive speech developed here.
PERANCANGAN SISTEM PENDETKSI SERANGAN PADA SERVER JARINGAN KOMPUTER MENGGUNAKAN SNORT BERBASIS SMS GETEWAY

Server on a network becomes an important point because its function is to serve all requests required by all clients on a network. For that, maintaining the security of a server is also very important because if the server is experiencing a problem then there is no one the network can serve the request from the client. This makes a server administrator must see traffic to the server at any time. For this reason, it is important to conduct an attack detection system research in order to help the performance of administrators. Detection of attacks directed to the server is an early solution in securing a server from attack. For attack detection systems, SNORT is generally able to detect almost any attack because it has many rules that can be modified. Detection system by configuring and adding the rule first on the server. If there is an incoming attack then SNORT will compare the attack with the existing rule, SNORT will later categorize the attack into 3 types of High, Medium and Low. The design of attack detection system using SNORT and web server is planted on Raspberry Pi. Web server that is planted on Raspberry Pi as information system or container of attack records. In addition, Raspberry Pi also implemented database to store attack log which will be sent via sms gateway. The overall test results of the system built on this final project work well. The admin user can login the web server and do the user creation properly. Among the 6 rule attacks that have been implemented, all rules can read the attack accurately and able to save it into the database. From 75 attacks recorded in the database, only 80% attack detection can be displayed in the web server. And the web server is capable of sending 77.3% of attack notifications to the admin.
ANALISIS PENILAIAN KINERJA DENGAN METODE BALANCED SCORECARD PADA ORGANISASI NONPROFIT (STUDI PADA UPT PERPUSTAKAAN UNSYIAH)

UPT Perpustakaan Unsyiah by using balanced scorecard method and  requiring  the responses of the stakeholders (Head of the Unsyiah Library and Quality Assurance Staff) related to the advantages of balanced scorecard assessment in UPT Perpustakaan Unsyiah. This research uses descriptive qualitative research approach with type of case study investigation. The respondents in this study are 125 library visitors/ users, and 38 staff/ librarians. Based on the results of the study, the overall performance of Perpustakaan Unsyiah is in good criteria. Financial perspective with a score of 20, means that library financial management is effective and efficient by decreasing the cost of using the cost e-journal unit, learning and growth with a score of 19.5 means library human resources have been well developed, as well as internal business processes and customer perspectives with each each score of 19.35 means that both visitors / library users and employees / librarians are satisfied with unsyiah library services.  According to the stakeholders, balanced scorecard can be used as the tool for the evaluation of Syiah Kuala University Library’s performance, because the BSC provide more informative, strongly relevant for making decision more effectively.
A Study on Problems and Difficulties in Implementing Knowledge Management Practices in Education Sector

Nowadays managing knowledge has become challenging task for management. The main objective of this research is to study the problems and difficulties in implementing knowledge management practices in private engineering colleges in and around Chennai. Although, knowledge management has been widely discussed by many academics and practisers, there is relatively little information only available on problems and difficulties faced by management in implementing knowledge management practices. The paper aimed at examining the problems and difficulties in implementing knowledge management practices related to demographical characters of employees in education sector. In this study questionnaire were issued out conveniently to professors in private engineering colleges in and around Chennai. Out of 150 copies of questionnaire administered, 132 were collected and analyzed. SPSS software was used to analyze and interpret the questionnaire. Weighted average and ANOVA are used to prove and disapprove the hypothesis.
The Students’ Attitude Towards The Use of Interactive Classroom Activities in Developing The Communicative Competence of the Eleventh Grade Students of SMA Kristen Barana

The objective of the research is to find out the students’ attitude toward the use of interactive classroom activities in developing the communicative competence. The researchers used descriptive method with a questionnaire to obtain data. The variable of the research was independent variable referring to the use of interactive classroom activities and dependent variable was the students’ attitude. The population of this research was the eleventh grade students of the SMA Kriten Barana’ Academic year 2017/2018, which consists of 50 students since the population of this research, used random sampling. The data obtained from the questionnaire tabulated and analyzed using percentage technique. It is provided by the students’ option on all items of the questionnaire where the number of students who strongly agree and agree is greater than those disagree and strong disagree. in this research the eleventh grade students of SMA Krenten Barana’ have positive attitude towards the use of interactive classroom activities in developing their communicative competence.
Knowledge Management &amp; Intelligent Search

Knowledge management is a rather large and formidable discipline that deals with identifying, capturing, storing, retrieving, archiving, and sharing information, both inside and outside an organization. Imagine working as a helpdesk representative and receiving a ticket that requires you to address a certain issue within an application. Now consider getting all the information that is automatically associated with this ticket, such as similar tickets and their fixes, application telemetry data and logs, standard operating procedures, and other knowledge-base items associated with the application, such as wiki articles. The knowledge graph associated with this application even recommends a potential fix and provides information about the associate who last worked on a similar issue, or the same application.
A kind of fuzzy upper topology on L-preordered sets

Considering a commutative unital quantale L as the truth value table and using the tool of L-generalized convergence structures of stratified L-filters, this paper introduces a kind of fuzzy upper topology, called fuzzy S-upper topology, on L-preordered sets. It is shown that every fuzzy join-preserving L-subset is open in this topology. When L is a complete Heyting algebra, for every completely distributive L-ordered set, the fuzzy S-upper topology has a special base such that it looks like the usual upper topology on the set of real numbers. For every complete L-ordered set, the fuzzy S-upper topology coincides the fuzzy Scott topology.
Gland Segmentation with Convolutional Neural Networks : Validity of Stroma Segmentation as a General Approach

The analysis of glandular morphology within histopathology images is a crucial step in determining the stage of cancer. Manual annotation is a very laborious task. It is time consuming and suffers ...