Reviewerly/exHarmony huggingface dataset:
Anonymity and Privacy Security Scheme on Location Based Services

Anonymity and privacy are two security services frequently confused when schemes are designed. On the one hand, privacy refers to transform information in order to keep it from all but those who are authorized to have it. On the other hand, anonymity refers to a condition in which the information receiver does not know the sender’s identity. From the Location Based Service (LBS) point of view, anonymity and privacy are security services very important to preserve, as sensitive data travel in a service request, for example the identity of participants and their location. Most of the related work focuses on protecting only one aspect of the LBS user letting secure only one aspect. in this paper we present a security scheme that consists on a set of cryptographic protocols which consider cryptographic primitives along with fake location information, in order to provide both identity anonymity and location privacy. The importance of this work relies on the fact that the proposed scheme remains transparent to the LBS provider. Moreover, the results obtained show that this approach focused on removing the trust from the LBS provider, did not represent an excessive increment on the cost and usage of the channel that makes our scheme a suitable and interesting improvement over previous works.
Book Review: Foundations of Info-Metrics (Modeling, Inference and Imperfect Information)

Book review of Foundations of Info-Metrics (Modeling, Inference and Imperfect Information) by Amos Golan. New York: Oxford University Press, 2018, 465 pp., ISBN: 978-0-19-934953-1.
VEHICLE MONITORING AND SECURITY SYSTEM

The VMSS (Vehicle Monitoring and Security System) is a GPS based vehicle tracking system that is used for security applications. The project uses two main underlying concepts. These are GPS (Global Positioning System) and GSM (Global System for Mobile Communication). The main application of this system in this context is tracking the vehicle to which the GPS is connected, giving the information about its position whenever required and for the security of each person travelling by the vehicle. This is done with the help of the GPS satellite and the GPS module attached to the vehicle which needs to be tracked. The GPS antenna present in the GPS module receives the information from the GPS satellite in NMEA (National Marine Electronics Association) format and thus it reveals the position information. This information got from the GPS antenna has to be sent to the Base station wherein it is decoded. For this we use GSM module which has an antenna too. Thus we have at the Base station; the complete data about the vehicle.Along with tracking the vehicle, the system is used for security applications as well. Each passenger/employee will have an ID of their own and will be using a remote containing key for Entry, Exit and Panic. The Panic button is used by the driver or the passenger so as to alert the concerned of emergency conditions. On pressing this button, an alarm will be activated which will help the passenger/employee in emergencies and keep them secure throughout the journey. The vehicle can also be immobilized remotely.
Strategi Pengembangan Rumah Baca Asma Nadia Sumbang

Asma Nadia is a reading house at Sumbang Subdistrict, Banyumas Regency, Central Java which started on May 26th , 2016. There were nine volunteers at the reading house. The objective of reading house was to increase reading interest and build mental character especially for children. In fact, the reading interest was high but it was not supported with adequate reading house facilities. The limited reading space in reading house made them to shift another area. In addition, the collection of books was limited as well. In terms of library management, there were many unrecorded and unclassified books and ability of volunteers to use information technology were relatively low. Morover, In terms of funding, there had been several efforts made by volunteers such as selling drinks or making paper flower but those were undeveloped well. So, by those problems, some programs had been created such as training Senayan Library Management System (SLIMS) software, classifying and labelling books, holding on e-commerce business communication strategies workshop and children writing competition. The generated outcome from the internal community activities were implemented for library information systems, publications on ISSN community service of scientific journal, and online publication.
Hardware Implementation of IoT-based Health Monitoring of Three-phase Induction Motor

In this project, a wireless monitoring system for three-phase induction motor is realized using IoT (internet of things), where wired communication is either more expensive or impossible due to physical conditions and human hazards for safe and economic data communication in industrial fields. The parameters such as phase current, speed, vibrations and temperature are monitored by Raspberry Pi and then send these values on cloud. The aim of this project is to monitor and acquire the remote electrical parameters like three-phase currents, temperature, vibration and speed, and send these real values over wireless network. The system is designed using ACS712 current sensor, DS18B20 temperature sensor, SW-18010P vibration sensor and Infrared speed sensor. These sensors are interfaced with Raspberry Pi 3 model B+ and send over the wireless network for monitoring. Keywords: Induction motor, IoT, monitoring. Raspberry Pi, health, wireless network
PREDIKSI MISSING IMPUTATION UNTUK DATA PENYEBARAN MENGGUNAKAN NAÏVE BAYES

Dengue fever is a disease caused by dengue virus by Aedes Aegypti mosquitoes intermediary. There are four dengue virus serotypes, called DEN-1, DEN-2, DEN-3, and DEN-4, each of them can lead to dengue fever, either mild or fatal. Based on a survey of public health in Jember, recorded during January 2015 there were 300 cases of dengue fever, and seven of them died. Previous research using fuzzy method to determined the potential spread of Dengue in Jember. Para meters that used is the amount of rain in a period, the amount of rain in one month, free amount of larva and house index. Data that used is taken from 2009 until 2012 from 31 districts. The weaknesses in this study were not contain a way to resolve the imputation of missing data. In fact, survey data is often incomplete. Based on these issues, it will be created a prediction system of imputation of missing data on the spread of dengue by using Naive Bayes method. The data refers to the prediction of the mi ssing data and the data were used as training data, so it can be processed further. This research has been successfully predicting missing data imputation using existing data, so that the missing data can be completed with high degree of accuracy.
TYPES OF SYNTACTICAL ERRORS MADE BY ENGLSIH DEPARTMENTS STUDENTS IN WRITING ESSAY REGISTERED 2014/2015 ACADEMIC YEAR AT STAIN BATUSANGKAR

&lt;p&gt;&lt;strong&gt;&lt;em&gt;Hendra Putra,2015. &lt;/em&gt;&lt;/strong&gt;&lt;strong&gt;&lt;em&gt;Types of Syntactical Errors Made by English Department Students in Writing Essay Registered 2014/2015 Academic Years at Stain Batusangkar. &lt;/em&gt;&lt;/strong&gt;&lt;strong&gt;&lt;em&gt;Thesis. Graduate Program. State University of Padang.&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Â &lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;This research deal with types of errors which consist of &lt;/em&gt;&lt;em&gt;noun phrase, verb phrase, verb and verb construction, some transformation, word order, addition and omission made by the fourth semester students of the English Department of STAIN Batusangkar in writing essays.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;This research was aimed at finding out and explaining types of errors made by English Department students in writing essay at STAIN Batusangkar in 2014/2015 academic year.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;The source of data this research was writing test. The technique of data collection was simple random sampling. From the data, the researcher took 23 essays (20%) from the total of students. In analyzing the data, the researcher used some step, mainly reading, describing and classifying the data.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;The research revealed that there were &lt;/em&gt;&lt;em&gt;314 errors from studentsâ€™ writing essay. Those errors were noun phrase 80 errors (25.48%), verb phrase 138 errors (43.95%), verb and verb construction 7 errors (2.23%), word order 14 errors (4.46%), some transformation 9 errors (2.87%), omission 43 errors (13.69%), addition 23 errors (7.32%).&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;Based on the finding above, it could be concluded that the students committed the errors in their essays. It might be caused by their grammatical mastery in English. It is also suggested to the lecturers to provide more detail explanations to the students related to the grammar problems so that the students will not make errors in their writing later on or at least it can minimize the errors produced by the students.&lt;/em&gt;&lt;/p&gt;
Automatic Tool for Searching for Differential Characteristics in ARX Ciphers and Applications.

Motivated by the algorithm of differential probability calculation of Lipmaa and Moriai, we revisit the differential properties of modular addition. We propose an efficient approach to generate the input-output difference tuples with non-zero probabilities. A novel concept of combinational DDT and the corresponding construction algorithm are introduced to make it possible to obtain all valid output differences for fixed input differences. According to the upper bound of differential probability of modular addition, combining the optimization strategies with branch and bound search algorithm, we can reduce the search space of the first round and prune the invalid difference branches of the middle rounds. Applying this tool, the provable optimal differential trails covering more rounds for SPECK32/48/64 with tight probabilities can be found, and the differentials with larger probabilities are also obtained. In addition, the optimal differential trails cover more rounds than exisiting results for SPARX variants are obtained. A 12-round differential with a probability of \(2^{-54.83}\) for SPARX-64, and a 11-round differential trail with a probability of \(2^{-53}\) for SPARX-128 are found. For CHAM-64/128 and CHAM-128/*, the 39/63-round differential characteristics we find cover 3/18 rounds more than the known results respectively.
Investigating the Impact of Inclusion in Face Recognition Training Data

Modern face recognition systems leverage datasets containing im-ages of hundreds of thousands of individuals’ faces. Recently, therehas been significant public scrutiny into the privacy implications oflarge-scale training datasets such as MS-Celeb-1M, as many peo-ple are uncomfortable with their face being used to train dual-usetechnologies that can enable mass surveillance. However, the im-pact of an individual’s inclusion in training data on a derived sys-tem’s ability to recognize them has not previously been studied. Inthis work, we audit ArcFace, a state-of-the-art, open-source facerecognition system, in a large-scale face identification experiment.We find Rank-1 identification accuracy of 79.71% for individualspresent in training data and 75.73% for those not present. These re-sults demonstrate that modern face recognition systems work bet-ter for individuals they are trained on, which has serious privacyimplications as all large-scale, open-source training datasets do notgather informed consent from individuals during their collection.
Immediate feedback of lectures by smartphones

<ns4:p>This article was migrated. The article was not marked as recommended. Introduction:Lectures are essential formats in dental curriculum. An immediate feedback at the end of a lecture could motivate students and lecturers for improvement. Feasibility and acceptance of a smartphone-based feedback (SBF) were evaluated.Methods:Google forms with six statements and rating scales from total agreement to strongly disagreement were linked with QR-codes. Thirty-eight dental students of the 4<ns4:sup>th</ns4:sup> clinical semester evaluated 8 lectures. Their answers were given immediately and could be discussed. This feedback was compared to the online evaluation at the end of semester. Four lecturers and the participating students answered an evaluation questionnaire about the SBF.Results:One student had technical problems. The acceptance was excellent for students and good for lecturers. Lecturers and students could imagine to evaluate all lectures by SBF. Students are more motivated to discuss the feedback than lecturers. The students are more motivated to use SBF than the online evaluation at the end of semester.Discussion: The feedback statements should be revised in cooperation with students. The required time for the feedback are about 5 minutes, so it could be possible to integrate SBF in selected lectures. The discussion of the evaluation could be compromising for lecturers. SBF gives an individualized feedback and could improve the quality of education.Conclusions:A no cost, immediate, SBF is feasible to integrate in lectures.</ns4:p>
Short text semantic feature extension and classification based on LDA

Abstract To solve the problem of feature sparseness of short texts, we studied the application of LDA Topic Model on feature extension and classification of short texts. Training LDA on external long texts related to short texts, and achieving the inference and extension of short texts’ topics based on LDA solves the feature sparseness of short texts and improves the accuracy of classification effectively. Latent semantic information in LDA can also effectively improve the interpretability of short texts.
Development of a Prototype for Solar Radiation Exploitation on Galvanized Metal Roofs in Panama

The solar energy is an inexhaustible resource available in many areas of our planet. The objective of this investigation is to develop a prototype that takes advantage of the incident solar energy on metal roofs of the Republic of Panama. The methodology is based in the design and development of a system that allows to remove the thermal energy available in metal roofs. Experiments were carried out on the solar collector at different water flow rates. It was observer that the water couldreached temperatures up to 49.89 °C when recirculating the water90 minutes with an average radiation of 887.34 w/m2. The results obtained support the possibility of using the metal roof for water heating, since there was anoverallincrease in the energy in of the water proportional to the spectrum of solar radiation incident on the roof.
N-gram Statistical Stemmer for Bangla Corpus.

Stemming is a process that can be utilized to trim inflected words to stem or root form. It is useful for enhancing the retrieval effectiveness, especially for text search in order to solve the mismatch problems. Previous research on Bangla stemming mostly relied on eliminating multiple suffixes from a solitary word through a recursive rule based procedure to recover progressively applicable relative root. Our proposed system has enhanced the aforementioned exploration by actualizing one of the stemming algorithms called N-gram stemming. By utilizing an affiliation measure called dice coefficient, related sets of words are clustered depending on their character structure. The smallest word in one cluster may be considered as the stem. We additionally analyzed Affinity Propagation clustering algorithms with coefficient similarity as well as with median similarity. Our result indicates N-gram stemming techniques to be effective in general which gave us around 87% accurate clusters.
Threshold Signatures Using Ed25519 and Ed448

A Threshold signature scheme is described. The signatures created arecomputationally indistinguishable from those produced using theEd25519 and Ed448 curves as specified in RFC8032 except in that theyare non-deterministic. Threshold signatures are a form of digitalsignature whose creation requires two or more parties to interact butdoes not disclose the number or identities of the parties involved.
Construction of “Five-micro-in-one” Blended Golden Course of Advanced Mathematics

At present, the teaching of the course Advanced Mathematics in colleges and universities has many problems, such as excessive contents for classroom teaching, tight class hours, teaching limited in the classroom and affected learning initiative of students. In this paper, starting from the background of educational informationization and the practical problems in the teaching of the Advanced Mathematics , the existing teaching and learning problems could be partly solved by the construction of the “five-micro-in-one” online and offline blended golden course of the Advanced Mathematics , i.e. the course integrates micro-video, micro-teaching design, micro-interaction, micro-textbook and micro-exercises into one, with textbook content as the supporting point and the revolution of the “student-centered” learning style as the power point and on the basis of the in-depth analysis of teaching content and course system.
Text matching based on reconstructed color interaction image

Plenty of natural language processing tasks can be modeled as text matching, such as question answering, machine translation and so on. An elementary and efficacious method is to distill matching patterns from words, phrases and sentences to obtain the matching score. In this paper, Reconstructed Color Interaction Image (RCII) is proposed to convert text matching to color image recognition. First, two texts are reconstructed and similarity operations are adopted to generate Color Interaction Image (CII). Then CNN is applied to extract hierarchical and elaborate matching information. Finally, fully connected layers are employed to obtain the matching score. Experiments have proved the effectiveness of our method.
Library Guides: Readings Online User Guide: Add sound or visual materials

Guide for academic staff using Readings Online. How to add other types of materials to your reading list, including video, music, sound clips and more
Motives Of Murder In Gillian Flynn’s Dark Places (2009): A Humanistic Psychological Perspective

This research focuses on the identification issue of motives of murder in Dark Places (2009) novel by Gillian Flynn. The theory is used in this research is humanistic psychology by Abraham Maslow. The type of this study is used qualitative descriptive. The method of collecting data in this research is used note taking technique. This study used two data, namely primary data and secondary data. Dark Places novel by Gillian Flynn is the primary data source. Online journals, thesis and research paper that related with issue motive of murder are the secondary data. The purposes of this research are as follows to identify the character’s motives of committing the murder, to describe the motives of murder depicted in the novel and to reveal the reason why the author addressed the motive of murder in the novel. The results of this study are as follows (1) there are three motives of murder such as need for food, safety from fear and safety from anxiety, (2) the author depicted issue motives of murder through character, setting, event, and style, (3) the author addressed the issue motive of murder because the author wants to create a novel about dark things and trouble female character.
Simulation of turning movement of double spiral mobile robot on sloping ground

To investigate wetlands, our laboratory has proposed a double spiral mobile robot that moves without damaging plants as much as possible. In the previous study, the proposal and simulation of the turning motion on the flat ground were conducted. For the balance control, the normalized energy stability margin was utilized as a stability index. We applied turning motion on the flat ground to the sloping ground. As a conclusion, it was found that the turning motion on the slope is possible when the turning angle is 5 degrees and the inclination angle is 9 degrees, the turning angle is 6 degrees and the inclination angle is 9 degrees, the turning angle is 7 degrees and the inclination angle is 7 degrees, the turning angle is 8 degrees and the inclination angle is 5 degrees. Furthermore, we analyzed the phenomenon of a falling down motion. We found that when the value of NESM decreased, the robot slightly loosed balance, then gripper failed to grasp the spiral and the robot fell down.
Morphology-Agnostic Visual Robotic Control

Existing approaches for visuomotor robotic control typically require characterizing the robot in advance by calibrating the camera or performing system identification. We propose MAVRIC, an approach that works with minimal prior knowledge of the robot's morphology, and requires only a camera view containing the robot and its environment and an unknown control interface. MAVRIC revolves around a mutual information-based method for self-recognition, which discovers visual "control points" on the robot body within a few seconds of exploratory interaction, and these control points in turn are then used for visual servoing. MAVRIC can control robots with imprecise actuation, no proprioceptive feedback, unknown morphologies including novel tools, unknown camera poses, and even unsteady handheld cameras. We demonstrate our method on visually-guided 3D point reaching, trajectory following, and robot-to-robot imitation.
Clustering to Given Connectivities

We define a general variant of the graph clustering problem wherethe criterion of density for the clusters is (high) connectivity. In \probCGClong, we are given an $n$-vertex graph $G$, an integer $k$, and a sequence $\Lambda=\langle \lambda_{1},\ldots,\lambda_{t}\rangle$ of positive integers and we ask whether it is possible to remove at most $k$ edges from $G$ such that the resulting connected components are {\sl exactly} $t$ and their corresponding edge connectivities are lower-bounded by the numbers in $\Lambda$. We prove that this problem, parameterized by $k$, is fixed parameter tractable i.e., can be solved by an $f(k)\cdot n^{O(1)}$-step algorithm, for some function $f$that depends only on the parameter $k$. Our algorithmuses the recursive understanding technique that is especially adapted so to deal with the fact that we do not impose any restrictionto the connectivity demands in $\Lambda$.
Geous: A Public Transport Management Platform Based on Mobile and Ubiquitous Technologies

Currently public transport (buses), as it is known today, presents many irregularities in terms of user perception, having great problems in waiting times between buses, the inconvenience of not knowing how long the bus takes to be desired the user to reach his current position. The development of complex solutions that help solve problems of today's society is an objective of the disciplinary work that characterizes computing. This article presents the results of a project that consists of developing a platform for geolocation of buses, so that any user with a mobile device can see the position in real time of the bus in a certain route. You can know the time of arrival to each booth or bus stop and the distance of the user's current location. This promotes the updating of public transport (buses), facilitates control of the transport network, reduces the uncertainty of users to find the nearest bus and generates a presence system between user and driver.