Reviewerly/exHarmony huggingface dataset:
Evaluation of Capnography Sampling Line Compatibility and Accuracy when Used with a Portable Capnography Monitor

Capnography is commonly used to monitor patient’s ventilatory status. While sidestream capnography has been shown to provide a reliable assessment of end-tidal CO2 (ETCO2), its accuracy is commonly validated using commercial kits composed of a capnography monitor and its matching disposable nasal cannula sampling lines. The purpose of this study was to assess the compatibility and accuracy of cross-paired capnography sampling lines with a single portable bedside capnography monitor. A series of 4 bench tests were performed to evaluate the tensile strength, rise time, ETCO2 accuracy as a function of respiratory rate, and ETCO2 accuracy in the presence of supplemental O2. Each bench test was performed using specialized, validated equipment to allow for a full evaluation of sampling line performance. The 4 bench tests successfully differentiated between sampling lines from different commercial sources and suggested that due to increased rise time and decreased ETCO2 accuracy, not all nasal cannula sampling lines provide reliable clinical data when cross-paired with a commercial capnography monitor. Care should be taken to ensure that any cross-pairing of capnography monitors and disposable sampling lines is fully validated for use across respiratory rates and supplemental O2 flow rates commonly encountered in clinical settings.
Extending the Signed Non-zero Bit and Sign-Aligned Columns Methods to General Bases for Use in Cryptography

An efficient scalar multiplication algorithm is a crucial component of elliptic curve cryptosystems. We propose a scalar multiplication algorithm based on scalar recodings that is regular in nature. Our scalar multiplication algorithm is made from two scalar recoding algorithms called $$\mathsf {Recode}$$ and $$\mathsf {Align}$$ . $$\mathsf {Recode}$$ is the generalization of the signed non-zero bit recoding algorithm given by Hedabou, Pinel and Bénéteau in 2005. It recodes the k-ary representation of the given scalar into a signed non-zero form by means of a small lookup table. On the other hand, $$\mathsf {Align}$$ is the generalized k-ary version of the sign-aligned columns recoding algorithm given by Faz-Hernández, Longa and Sánchez in 2014. It recodes the k-ary representation of a scalar in such a way that the sign of each of its digits agrees with a given $$\lbrace 1,-1 \rbrace $$ -valued sequence. When analyzing the choice of $$k \in \lbrace 2,3 \rbrace $$ , we find some theoretical evidence that $$k=3$$ may offer better performance in certain scenarios.
IMPROVING THE DATA TRANSMISSION SPEED IN CLOUD MIGRATION BY USING MAPREDUCE FOR BIGDATA

Cloud acts as a data storage and also used for data transfer from one cloud to other. Here data exchange takes place among cloud centers of organizations. At each cloud center huge amount of data was stored, which interns hard to store and retrieve information from it. While migrating the data there are some issues like low data transfer rate, end to end latency issues and data storage issues will occur. As data was distributed among so many cloud centers from single source, will reduces the speed of migration. In distributed cloud computing it is very difficult to transfer the data fast and securely. This paper explores MapReduce within the distributed cloud architecture where MapReduce assists at each cloud. It strengthens the data migration process with the help of HDFS. Compared to existing cloud migration approach the proposed approach gives accurate results interns of speed, time and efficiency.
Generation an Annotated Dataset of Human Poses for Deep Learning Networks Based on Motion Tracking System

In this paper, we propose an original method for relatively fast generation an annotated data set of human's poses for deep neural networks training based on 3D motion capture system. Compared to default pose detection DNNs trained on commonly used open datasets the method makes possible to recognize specific poses and actions more accurately and decreases need for additional image processing operations aimed at correction of various detection errors inherent to these DNNs. We used preinstalled IR motion capture system with reflective passive tags not to capture movement itself but to extract human keypoints at 3D space and got video record at corresponding timestamps. Obtained 3D trajectories were synchronized in time and space with streams from several cameras using approaches of mutual camera calibration and photogrammetry. It allowed us to accurately project keypoint from 3D space to 2D video frame plane and generate human pose annotations for recorded video and train deep neural network based on this dataset.
Pengelolaan Arsip Statis di Dinas Kearsipan dan Perpustakaan Kabupaten Padang Pariaman

AbstractThe writing of this paper discusses the management of statistical records in the Padang Pariaman District Archives and Library. The purpose of this paper is to find out how to manage statistical records in the Padang Pariaman District Archives and Library; explain the installation procedure and how to use electronic files; describe investments found in managing statistical records; illustrates the efforts made to overcome difficulties in managing statistical records. This research was conducted using descriptive methods with accurate factual facts about the facts, facts and facts investigated. Data collected through observation, interviews, and literature studies. Based on the research that has been done, it can be concluded first, the management of statistical records in the Padang Pariaman District Archives and Library Services includes: (a) acquisition files, (b) processing statistical records; (c) preservation of statistical files; and (d) Access. Second, the procedure for installing and using electronic records at the Padang Pariaman District Archive and Library Service includes: (a) Xampp installation as a MySQL database server; (b) storage application as an electronic file storage device. Third, regulating what is in the administrative archive at the Padang Pariaman District Archives and Library Office includes: (a) implementation of the agreement not all archive creators who submit statistical records to the Padang Pariaman District Archives and Library Office; (b) Implementation of implementations that require a long time (c) Implementation of preservation as needed; (d) while access activities still use conventional methods. Fourth, efforts were made to overcome the challenges in managing statistical archives: (a) by dragging archives makers who sent statistical archives to the Padang Pariaman District Archive and Library Services; (b) carrying out regular organizing processing from the creator of the archive, labeling the boxes, adding shelves to manage the volume of archives; (c) Implementation of maintenance by providing adequate equipment (d) when supporting access also uses digital technology and provides supporting facilities and infrastructure.Keywords: management, archives, statis
Text analysis of DNS queries for data exfiltration protection of computer networks

The paper proposes effective method of computer network protection from data exfiltration by the system of domain names. Data exfiltration by Domain Name System (DNS) is an approach to conceal the transfer of confidential data to remote adversary using data encapsulation into the requesting domain name. The DNS requests that transfer stolen information from a host infected by malicious software to an external host controlled by a malefactor are considered. The paper proposes a method of detecting such DNS requests based on text classification of domain names by convolutional neural network. The efficiency of the method is based on assumption that domain names exploited for data exfiltration differ from domain names formed from words of natural language. To classify the requests in convolutional neural network the use of character embedding for representing the string of a domain name is proposed. Quality evaluation of the trained neural network used for recognition of data exfiltration through domain name system using ROC-analysis is performed. The paper presents the software architecture used for deployment of trained neural network into existing infrastructure of the domain name system targeting practical computer networks protection from data exfiltration. The architecture implies creation of response policy zones for blocking of individual requests, classified as malicious.
What disconnects practitioner belief and empirical evidence?

Just because software developers say they believe in "X", that does not necessarily mean that "X" is true. As shown here, there exist numerous beliefs listed in the recent Software Engineering literature which are only supported by small portions of the available data. Hence we ask what is the source of this disconnect between beliefs and evidence?.
Using A Constructivist Approach to Improve Students’ Comprehension in Reading Descriptive Text at The Seventh Grade of SMP Negeri 24 Pekanbaru

The problem of this research is the students’ low comprehension in reading descriptive text in term of generic structure, purpose, language features and vocabulary. This research aimed to enhance student understanding by using a constructivist approach in reading descriptive text. The design of this research was a classroom action research (CAR). The samples of this research were 40 students. Based on the result of the test, it was found that students’ average score was 77. The resulting score improved from the based score that was 69.5. Furthermore from the result of observation, field note and interview, it was found the factors influencing the improvement of students’ comprehension in reading descriptive text by using a constructivist approach, they were teacher’s strategy and teacher’s media. Finally, the researcher concludes that this constructivist approach can improve the students’ reading comprehension.
Cloud Computing and Student’s Record Management Efficiency in Niger Delta University

Information is relatively the life conduit of any organization. An inappropriate management of records and the information contained therein could cost organization both operational and financial fortune. The focus of this paper was to establish the empirical link between cloud computing and student’s record management efficiency in Niger Delta University. Software as a service (Saas) and Platform as a service (Paas) were used to operationalize the predictor variable, while records accessibility and safety were used as measures of record management efficiency. 301 staffers were sampled randomly with questionnaire. Data collected was inferential analyzed using spearman rank order correlation coefficient with the aid of SPSS. Result shows high correlation amongst all variables which means that increase cloud computing practices in the institution would enhance record’s management efficiency. The study recommends therefore that management of Niger Delta University should leverage on available software service provides to store all students’ records on cloud to avoid losses of records due to flood and undue physical environmental conditions. Also, cloud computing model should be utilized for efficiency in record management to create good public image for vantage competitive edge.
HUMAN: Hierarchical Universal Modular ANnotator

A lot of real-world phenomena are complex and cannot be captured by single task annotations. This causes a need for subsequent annotations, with interdependent questions and answers describing the nature of the subject at hand. Even in the case a phenomenon is easily captured by a single task, the high specialisation of most annotation tools can result in having to switch to another tool if the task only slightly changes. We introduce HUMAN, a novel web-based annotation tool that addresses the above problems by a) covering a variety of annotation tasks on both textual and image data, and b) the usage of an internal deterministic state machine, allowing the researcher to chain different annotation tasks in an interdependent manner. Further, the modular nature of the tool makes it easy to define new annotation tasks and integrate machine learning algorithms e.g., for active learning. HUMAN comes with an easy-to-use graphical user interface that simplifies the annotation task and management.
10^6 Channel parallelism Fourier-optic convolutional filter and neural network processor

Here we report a massively-parallel 10٨6 channel Fourier-optics convolutional processor accelerated 160x over spatial-light-modulators using digital-mirror-display technology as input and kernel. Testing the system on MNIST and CIFAR-10 datasets shows 96% and 54% accuracy, respectively.
Kebutuhan Informasi Siswa SMP Negeri 1 Kota Padang melalui Sumber-Sumber Internet

Abstract This paper discusses the information needs of students at SMP Negeri 1 Kota Padang through internet sources. the writing of this paper aims to describe: (1) the individual (personal) information needs of students of SMPN 1 Kota Padang; (2) information needs related to the role of students of SMPN 1 Kota Padang; (3) information needs related to the environment of students of SMPN 1 Padang City. This research uses a descriptive method with a qualitative approach, which is collecting data by observing and interviewing 12 students. Based on the results of research and discussion of data about the information needs of students of SMPN 1 Padang through internet sources, it can be concluded that: the information needs of students of SMPN1 Padang through internet sources, namely: First, individual (personal) information needs, through the internet students can search light reading information (magazines, fiction works such as short stories, novels), health, travel, culinary, skills. These needs are used to break away from fatigue everyday. Secondly, information needs related to roles, through the internet students can meet information needs to complete school work, meet information needs about self-development, and information needs about life motivation, ideals. These are related to their social roles as students. Third, the need to find out the latest conditions and situations regarding the surrounding environment (local) cultural conditions, physical / natural conditions and the place of residence they live in, especially Padang City. This is because in their individuals there are social needs (social needs) that must be met.Keywords: information needs; students; internet sources
Effectiveness of the CIRC model using mind mapping method toward student learning outcomes

Tujuan dari penelitian ini untuk mengetahui perbedaan hasil belajar aspek kognitif dan psikomotor siswa, antara model pembelajaran CIRC menggunakan metode mind mapping, dan model pembelajaran CIRC menggunakan concept mapping. Penelitian ini tergolong penelitian quasi experimental, dengan desain nonequivalent control group. Instrumen pengumpulan data menggunakan tes hasil belajar kognitif, dan pengamatan hasil belajar psikomotor. Tes hasil belajar dilakukan sebanyak 2 kali yaitu pretest dan posttest. Peningkatan hasil belajar kognitif diperoleh melalui perhitungan nilai N-Gain score, sedangkan pengamatan hasil belajar ranah psikomotor dilakukan 1 kali oleh 2 orang pengamat. Uji statistik melalui uji beda yang dilakukan setelah uji normalitas. Hasil penelitian menunjukkan bahwa rata-rata N-Gain score dari hasil belajar kognitif CIRC-mind mapping yaitu 74, sedangkan pada CIRC-concept mapping adalah 64. Nilai hasil belajar aspek psikomotor berdasarkan kesepakatan antar pengamat adalah 96 pada CIRC-mind mapping, sedangkan pada CIRC-concept mapping yaitu 93. Dapat disimpulkan bahwa hasil belajar aspek kognitif dan psikomotor siswa lebih tinggi pada pembelajaran dengan CIRC-mind mapping, daripada model CIRC-concept mapping. The purpose of this study was to determine the differences in students' cognitive and psychomotor learning outcomes between the CIRC learning model using the mind mapping method and the CIRC learning model using concept mapping. This research was a quasi-experimental study with a nonequivalent control group design. The data collection instrument used a learning outcome test-cognitive and psychomotor learning outcome observations. Cognitive learning outcomes tests were carried out two times, namely, pretest and posttest. The increase in cognitive learning outcomes obtained by calculating the N-Gain score. Observation of psychomotor learning outcomes was carried out once by two observers. The statistical test in this study was a different test carried out after the normality test. The results showed that the average N-Gain score from cognitive learning outcomes CIRC-mind mapping was 74, while CIRC-concept mapping was 64. Psychomotor learning scores based on the agreement between observers were 96 on CIRC-mind mapping, while CIRC-concept mapping was 93. The cognitive and psychomotor learning outcomes of students using CIRC-mind mapping are higher than using CIRC-concept mapping.
A Novel Anomaly Detection Framework for LTE/VoLTE/VoWiFi Performance at Device-model Level

This work proposes an anomaly detection framework that tracks the network operation at device-model level within an Internet Service Provider (ISP). On a daily basis, the framework tracks and analyzes the time series of each device-model. Some key features for time series patterns are derived in this process and Extended Isolation Forest, an unsupervised tree ensemble machine learning algorithm, is applied to these features for anomaly detection. In comparison to conventional anomaly detection systems, the proposed framework does not require prior definitions of normal patterns and conducts both horizontal (i.e., a device-model compared to its own historical pattern) and vertical (i.e., a device-model compared to the patterns of all devices) comparisons among the device-models. These features contribute to an accurate and practical anomaly detection framework for industry implementation. The framework proposed in this paper has been deployed in an internal website within the ISP and has been proven an accurate source of anomalous network operation report.
Convergence and Stability of Particle Filters

SummaryThis chapter is an introduction to the theoretical study of particle estimates: how they converge as N → +∞, and whether their error stays stable over time. The focus is on results that are easy to prove from first principles. References to more technical results are given in the bibliography at the end of the chapter.A key idea is that the error of a particle estimate at time t may be decomposed into a sum of ‘local’ errors that correspond to the previous time steps 0, 1, …, t. In that spirit, most proofs will rely on an induction argument.
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy

Experience replay (ER) improves the data efficiency of off-policy reinforcement learning (RL) algorithms by allowing an agent to store and reuse its past experiences in a replay buffer. While many techniques have been proposed to enhance ER by biasing how experiences are sampled from the buffer, thus far they have not considered strategies for refreshing experiences inside the buffer. In this work, we introduce Lucid Dreaming for Experience Replay (LiDER), a conceptually new framework that allows replay experiences to be refreshed by leveraging the agent's current policy. LiDER consists of three steps: First, LiDER moves an agent back to a past state. Second, from that state, LiDER then lets the agent execute a sequence of actions by following its current policy -- as if the agent were "dreaming" about the past and can try out different behaviors to encounter new experiences in the dream. Third, LiDER stores and reuses the new experience if it turned out better than what the agent previously experienced, i.e., to refresh its memories. LiDER is designed to be easily incorporated into off-policy, multi-worker RL algorithms that use ER; we present in this work a case study of applying LiDER to an actor-critic based algorithm. Results show LiDER consistently improves performance over the baseline in six Atari 2600 games. Our open-source implementation of LiDER and the data used to generate all plots in this work are available at github.com/duyunshu/lucid-dreaming-for-exp-replay.
A Survey Paper on Image forgery detection Using Pseudo Zernike Moment

Photographs are taken as valid evidences in various scenarios of our day to day life. Because of the developments in the field of Image Processing, altering images according to ones need is not a difficult task. Techniques of Image Forensics play its crucial role at this juncture. One of the mostly found types of image tampering is Copy-Move forgery. A copy-move forgery is performed by copying a region in an image and pasting it on another region in the same image, mostly after some form of post-processing like rotation, scaling, blurring, noise addition, JPEG compression etc. Two types of copy-move forgery detection techniques exist in literature. They are the Block based methods and Key-point based methods. Both the methods have their own advantages and limitations. This paper presents a survey on the recent developments in block based methods. As forgeries have become popular, the importance of forgery detection is much increased. Copy-move forgery, one of the most commonly used methods, copies a part of the image and pastes it into another part of the image. In this paper, we propose a detection method of copy-move forgery that localizes duplicated regions using Zernike moments. Since the magnitude of Zernike moments is algebraically invariant against rotation, the proposed method can detect a forged region even though it is rotated. Our scheme is also resilient to the intentional distortions such as additive white Gaussian noise, JPEG compression, and blurring. Experimental results demonstrate that the proposed scheme is appropriate to identify the forged region by copy-rotate-move forgery.
Rancang Bangun Sistem Pengarsipan Data Aturan Pedoman dan SOP Berbasis Web Dengan Menggunakan Metode Index Field (Studi Kasus : Universitas Catur Insan Cendekia)

Archives have an important role in an agency or company to support administrative processes or activities carried out in the company. If the records are not well managed, it will be difficult to find the information that has been stored so that it can hinder further work processes. Therefore archives should be managed using a good and correct management system. The IT study program at the Catur Insan Cendekia Cirebon University does not yet have a filing system for data on rules, guidelines and SOP, so currently a system is needed that can help performance related to data archiving of rules, guidelines and SOP. In this study the authors implemented data archiving rules, guidelines and web-based SOP using the index field method to make it easier to search for data and maintain document security and was carried out using a codeigniter framework, using MYSQL as database management which is popularly used to build web applications that source. and data management using a database. The result of this data archiving system for rules, guidelines and SOP is that data retrieval does not need to take a lot of time and effort so that the required data can be accessed quickly and easily. So that data can be applied automatically based on the category so that data archiving is more effective and efficient.Keywords : Data Rules, Filing System, Guidelines, Index Field, Standar Operasional Prosedur, SOP.