Reviewerly/exHarmony huggingface dataset:
TWO STEP VERIFICATION AND DATA SECURITY THROUGH THE NETWORK

Our project is basically a web based application that engages in security and the transmission of data through the network.As we know that security is now become a necessity in each and everyone's life as there might be people who want to access your secret data for wrong purposes.So our system deals with the security issue by implementing steganography into our system.Steganography basically helps to hide secret messages and information embedded in a photograph or a video.This technique helps to prevent any third party user from accessing the secret message.iIn our project we are also using an encryption technique that is the "Tiny Encryption Algorithm".Encryption also plays an important role in keeping the data from unauthorized people in real time environment such that the data is safe.After encryption, the file is implemented with steganography and is then transmitted through the network to the receiver.The receiver should have the same application to de-embed the file and then decrypt the same file to extract the original file.The goal of our project is to design a tool for providing security to the system during transmission of data through the network for the likes of military forces that have an essential need for communication for vehicle control, surveillance signal processing and is even more imperative in times of a war.
An unbolted skeleton for primitive surveillance and clientele credentials for impregnable scrutiny chunk

Data handling and Surveillance in cloud goes through a dynamic and complex hierarchical service chain.Impregnable work is a service that helps to maintain and store the log records additional firmly in the server operative in cloud based atmosphere.Log may be a record of events occurring at intervals associate degree organization's system or network.Log file usually contains additional sensitive and guidance thus it ought to be maintained additional firmly.during this project we tend to discuss the protection problems concerned in log management for a Impregnable work as a service and present style and implementation of a prototype delegating impregnable log manager.Here we tend to impregnable the log records by encrypting it in a very JAR file.The JAR file here can embody a bunch of access management rule specifying whether or not or not and also the means cloud servers and presumably completely different data stakeholder's sq.Measures approved to access the contents itself.Once the authentication succeeds, the service suppliers are allowed to access the data gift at intervals the JAR.Reckoning supported configuration settings that's set throughout the time of creation, the JAR can provide usage management connected to the work, or will provide the alone work utility.As for the work, anytime there is correlate access to the data, the JAR will mechanically generate log records.In this paper, to offer the knowledge surveillance in the cloud and to address integrity and confidentiality problems whereas storing, maintaining, and querying log records JAR file coding is employed.
PENINGKATAN KETERAMPILAN MENCERITAKAN KEMBALI ISI TEKS BACAAN MENGGUNAKAN METODE ROLE PLAYING PADA SISWA KELAS III SDN KINTELAN 2 YOGYAKARTA

This class action research aims to describe the improvement of the skills to retell the contents of the reading text through the roleplaying method to thirdgrade students of SD Negeri Kintelan 2 Yogyakarta. This type of research is Classroom Action Research (CAR). The subjects of this study were grade 3 students, totaling 21 students. The object of this research is the whole process and application of the roleplay method used to improve the retelling skills of thirdgrade students at SD Negeri Kintelan 2 Yogyakarta. Data collection techniques used are observation, testing, and documentation. The instrument test uses an expert verdict test. In the preaction, the average retelling skill using the roleplaying method was 58.85 with a percentage of 28.57%, after being given the first cycle action, the average was 65.98 with a percentage of 57.14%. In cycle II the average retelling skill was 80.40 with a percentage of 76.19%. These results indicate that the roleplaying method can improve the skill of recounting the contents of reading texts in thirdgrade students of SD Negeri Kintelan 2 Yogyakarta.
An Analysis Of Jargons Used By The Housekeeping Department At The Lovina Bali Hotel

This study aimed to 1) identify the jargons used, 2) analyze the word formations process, 3) explain the meaning of each jargons used by the Housekeeping Department at The Lovina Bali Hotel. Jargons is analyzed respectively based on the theories of Allan and Burriged (2006), Yule's theory (2006) and Hornby's theory (1995). This study was descriptive qualitative research. The subjects of this study were the 3 Housekeeping staff. The instruments that are used in this study were checklist, tape recorder, interview guide. This study found 104 jargons and showed that there are 8 types of word formation appears in this study, in the terms of phrases (46 or 4.23%), abbreviations (37 or 35.57%), nouns (4 or 3.84%), verbs (2 or 1.92%), borrowing (2 or 1.92%), backformations (2 or 1.92%), adjectives (1 or 0.96%), derivation (1 or 0.96%), and clippings (1 or 0.96).
AR and IoT Assisted Electronic Device Control System

The document proposes an efficient implementation for IoT (Internet of Things) and AR (Augmented Reality) used for monitoring and controlling the electronic appliance via a mobile application . A large amount of energy and time is consumed in powering up appliances, mainly due to the location and confusing assembly of switch board. The proposed system works on a combination of AR and IoT, where the controlling device will be a smartphone with an application to scan for the available Wi-Fi connections in the room. Application should identify the device and a control panel would be available to the user for further actions. The signals from the phone will be received at the IoT module attached to the switch board which will control the powering of each device. Also there will be a troubleshooting mechanism which is to be used in case of any malfunctioning
Implementasi Algoritma C5.0 Untuk Klasifikas Penyakit Gagal Ginjal Kronik

Chronic kidney failure is one of the deadly diseases in many countries, including in In-donesia. This disease has a prevalence value increasing with the increasing population. Method that can be used to predict chronic kidney failure in the form of classification trees, namely C5.0. The purpose of this study is to apply the C5.0 to the classification of chronic kidney failure and to calculate the accuracy. Method C5.0 is a classification method in selecting its attributes to be processed using gain information. The independ-ent variables that are influential in this study are erythrocytes, urea, creatine, and plate-lets. The results of this study are in the form of a classification tree for chronic kidney failure. The C5.0 method produces 6 classification segments with an accuracy value of 99.3%.
The Application of Blockchain Technology in Managing Electronic Documents in Public Organizations in Oman

The Application of Blockchain Technology in Managing Electronic Documents in Public Organizations in Oman.
SURVEY PAPER - VIRTUAL CLOTHES FITTING APPLICATION BASED ON AUGMENTED REALITY FOR ONLINE RETAILERS

This survey discusses the design & implementation of Cloth Fitting Using Augmented Reality for various E-Commerce Websites. While purchasing clothes online, customers may often have doubts regarding the visual feedback & sizings of an outfit. This problem can perhaps be alleviated using AR. This survey paper presents techniques to augment or overlay 3D assets of the outfits onto a real-time video stream on a hand-held device such as a smartphone. This would allow users to try on clothes virtually while buying them beforehand. This can give the user a clear idea of the size of the clothes & also the visual feed of what he/she looks like after wearing the clothes. This can increase customer satisfaction & can invite more customers. This survey paper also describes different techniques of cloth fitting using AR which includes body tracking, pose estimation, sizing of clothes, 2D to 3D conversion of clothes assets. and cloth overlapping. This AR application can be configured using Cloud computing services such as ARCloud.
Relationships between Students’ University Library Usage Patterns and Their Lifestyle Types

【目的】大学教育改革のなかで，大学図書館は教育への関与が求められるようになった。本研究の目的は，学生生活の送り方によって大学図書館の利用パターンに変化が現れるのかを明らかにすること，ならびに学生生活，大学図書館利用，学習成果の3者の関係を明らかにすることである。【方法】調査方法は，インターネットを利用した質問紙調査とした。調査対象は，都市圏（東京都，神奈川県，埼玉県，千葉県，愛知県，大阪府，京都府，兵庫県）に所在する大学へ通う学士課程の学生（通信教育，留学生，社会人経験者は除く）とした。マクロミルのモニター会員を利用し，質問票の配布と回収はマクロミルへ委託した。目標サンプル数を400とし，2016年7月19日に質問票を配布し，翌日の7月20日に目標サンプル数に達したため調査を終了した。有効回答数は412であった。【結果】学生生活のなかで費やしている活動時間から学生生活を類型化し，5つの学生生活タイプを見いだした。学生生活において学習や読書を重視するタイプ1, 交友を重視するタイプ2, 電子メディアツールを多用するタイプ3, 活動的な側面が見いだせないタイプ4, いずれの活動も平均に近いタイプ5, 以上の5つである。合わせて大学図書館の利用パターンを類型化したところ，2つの利用パターンが明らかになった。図書館資料の利用を主とする従来からある利用方法，ならびに友人との交流や休息場所としての大学図書館の利用である。それぞれの学生生活タイプの大学図書館利用パターンを分析したところ，学生生活の送り方に呼応するように，それぞれのタイプが異なる大学図書館の利用パターンを有していることが明らかになった。また，図書館の利用頻度が同程度であっても獲得した学習成果は異なることが明らかになった。
LAUNCHING WORDPRESS- BLOGS AND DOMAINS

In today's world, the emphasis is on to move toward the digital driven economy, businesses, and human life.This huge movement towards digitization has resulted in generation of humongous amount of digital content.Managing this digital content is a challenge in it itself.A content management system provides way to handle this data efficiently.CMS are software applications that provide us the capability for easy management and maintainability of this digital content.The number of content management systems have been developed and successfully productionized such as Word press, Joomla, Cascade Server, Wix etc. the paper provides an overview of capabilities of WordPress CMS and various functionalities it offers for digital content management.
SpatialSim: Recognizing Spatial Configurations of Objects With Graph Neural Networks

An embodied, autonomous agent able to set its own goals has to possess geometrical reasoning abilities for judging whether its goals have been achieved, namely it should be able to identify and discriminate classes of configurations of objects, irrespective of its point of view on the scene. However, this problem has received little attention so far in the deep learning literature. In this paper we make two key contributions. First, we propose SpatialSim (Spatial Similarity), a novel geometrical reasoning diagnostic dataset, and argue that progress on this benchmark would allow for diagnosing more principled approaches to this problem. This benchmark is composed of two tasks: "Identification" and "Discrimination," each one instantiated in increasing levels of difficulty. Secondly, we validate that relational inductive biases-exhibited by fully-connected message-passing Graph Neural Networks (MPGNNs)-are instrumental to solve those tasks, and show their advantages over less relational baselines such as Deep Sets and unstructured models such as Multi-Layer Perceptrons. We additionally showcase the failure of high-capacity CNNs on the hard Discrimination task. Finally, we highlight the current limits of GNNs in both tasks.
Model Transformations Carried by the Traceability Framework for Enterprises in Software Industry

The developmental paradigm in the software engineering industry has transformed from a programming-oriented approach to model-oriented development. At present, model-based development is becoming an emerging method for enterprises for constructing software systems and services most proficiently. In Capability Maturity Model Integration (CMMI) Level 2, i.e., Managed, we need to sustain the bi-directional trace of the transformed models for the administration of user requirements and demands. This goal is achieved by the organization after applying the particular practices suggested by CMMI level 2 process area of Requirements Management (RM). It is very challenging for software developers and testers to maintain trace, particularly during the evaluation and upgrading phases of development. In our previous research work, we proposed a traceability framework for model-based development of applications for software enterprises. This work is the extension of our previously presented research work in which we have anticipated the meta-model transformations according to the Software Development Life Cycle (SDLC). These meta-models are capable of maintaining the trace information through relations. The proposed technique is also verified using a generalized illustration of an application. This transformation practice will give a foundation to software designers to maintain traceability links in model-driven development
Face Identification on Login Security Using Algorithm Combination of Viola-Jones and Cosine Similarity

Data security by using an alphanumeric combination password is no longer used, so it needs to be added security that is difficult to be manipulated by certain people. One type of security is the type of biometrics technology using face recognition which has different characteristics by combining the Viola-Jones algorithm to detect facial features, GLCM (Gray Level Co-occurrence Matrix) for extracting the texture characteristics of an image, and Cosine Similarity for the measurement of the proximity of the data (image matching). The image will be detected using the Viola-Jones algorithm to get face, eyes, nose, and mouth. The image detection results will be calculated the value of the texture characteristics with the GLCM (Gray Level Cooccurrence Matrix) algorithm. Image matching using cosine similarity will determine or match the data stored in the database with new image input until identification results are obtained. The results obtained in this study get the level of accuracy of the identification of the three algorithms by 77.20% with the amount of data that was correctly identified as many as 386 out of 500 images.Keywords: Security, face recognition, Viola-Jones, Cosine Similarity.
Algorithmic Standards and Execution Characteristics of Live VM Migration

The extent, to which technology has grown has given rise to many ways of getting connected to the internet and has also lead to the use cloud computing to access services or data remotely. Cloud computing is taking over the industry rapidly and will only grow in days to come. Companies are adapting to this technology in order to make use of it in the best way possible. NIST defines cloud computing as a model for on-demand services to a shared pool of configurable computing resources. This has helped companies move from the traditional ways of storing data or providing services, to an easier way for the customers to access their applications. VMs can manage accessibility requirements significantly more smoothly than their physical reciprocals. While physical hosts must be shut down for support, the VMs that they serve can relocate to execute on other physical nodes. It is additionally regular to move VMs when load balancing is required in the physical plane. The purpose of this work is to simulate cloud migration based on a bio-inspired algorithm through the CloudSim tool.
Planetary Layer Lapse Rate Comparison of Tropical,Montane and hot Semi-Arid Climates of Nigeria

This study assessed the pattern of planetary layer lapse rate across the major climate belts of Nigeria. Six years’ data (2010-2015) for air temperature values between 1000 mbar and 850 mbar atmospheric pressure levels were acquired from Era-Interim Re-analysis data centre. The data was retrieved at 6-hourly synoptic hours: 0000H, 0600H, 1200H and 1800H at 0.125o grid resolution. Results showed that the lower tropospheric layers throughout the various climate belts has a positive lapse rate. Findings also revealed that the average annual lapse rate condition were: Tropical wet zone (Port Harcourt) -5.6 oC/km; Bi-modal Tropical continental zone (Enugu) 5.8 oC/km; Montane zone (Jos) -6.5 oC/km; Mono-modal Tropical continental zone (Kano) -6.6 oC/km; and Hot semi-arid zone (Maiduguri) -6.6 oC/km. This average values presents the lapse rates to be close to the Saturated Adiabatic Lapse Rate (SALR). Average diurnal results for the climate belts showed that lapse rate is higher during the afternoon and transition periods than the rest periods and increases from the coastal areas northward. The seasonal periods of highest lapse rates during the day time are from December – May (i.e. 5.8-9.5 oC/km) with slight decrease from June – November. The positive lapse rate of range -1.8 – -5.9 oC/km observed during the period of dawn across the entire region showed that infrared radiation was still being released and modified by less energetic mechanical turbulence that characterizes the surface layer across Nigeria. This also indicates that global warming is real and in substantial effect. The study findings imply that conditional instability prevailed over the entire region, therefore, the planetary layer environment will be of slow to moderate dispersive potential and will require forceful mechanism to lift emissions are introduced into it. It is recommended that industrial stacks are above 50 m to enhance the dispersion of emissions aloft.
Simulator-based pharmacological practice using iPad-Cloud system for medical education

Pharmacological practice is important for understanding pharmacological effects from the point of view of active learning in medical education. However, it is very difficult to perform the practices using experimental animals in recent years, because of animal welfare, cost and so on.
DESIGN AND DEVELOPMENT OF ANDROID BASED MULTIMEDIA PLAYER

In today`s world, many users like to use media player in order to solve the complex functions and large memory requirement in a smart phone.With a rapid growth of network and technology, multimedia technology is used in media players.As the Android based devices are getting more popular among the people, an Android based application attracts more attention.Based on Android technology and java language the design and coding of a simple, convenient, less memory requirement as well as user friendly multimedia player is shown in this paper.The player is designed in such a way to obtain higher performance; simple operations and run on the Android based mobile devices.The papers discuss about the study of multimedia player with the help of already existing media players which are available openly in the Android market and proposed system for multimedia player that will be providing the uninterrupted enjoyment for the users.
المنهج وطريقة كشف الكلمات في معجم المنجد للويس معلوف

Mu'jam almunjid is a famous mu'jam which is used by students in the world including muslim students in Indonesia. This mu’jam is considered as the most complete and comprehensive dictionary, because this is decorated with many pictures, colours and other advantages. So that many Islamic campuses and Islamic boarding schools around the world use this dictionary as the main dictionary. But the mu'jam which is used by many moslem students in this world was composed by two Catholic priests (rahib) named Fr. Louis Ma'luf al-Yassu’i and Fr. Bernard Tottel al-Yassu'i and was printed and distributed by a Catholic printing press since 1908. The use of the al-Munjid Dictionary, which has been used for a long time is not without opposition. Some ulama’ assume the dictionary is a part of an orientalist operation who have a hidden agenda to the Islamic world. Therefore, this study aims to present or peel the contents of the Al-Munjid dictionary by Louis Ma'luf. This study will focus on discussing the aspects of the definition, authors, purposes, methods, strengths and weaknesses and the opinions of scientists and scholars about this dictionary.
Analysis of Air Pollution Levels in DKI Jakarta Province Using the Mamdani Fuzzy Inference System Method

This study aims to measure the level of air pollution determined by pollutant gases contained in the air. Pollutants that measure air pollution are PM10 (Special Material), SO2 (Sulfur), NO2 (Nitrogen Oxide), CO (Carbon Monoxide, O3 (Ozone), and NO2 (Nitrogen Oxide), which are related to vehicle use and, according to the choice this pollutant threshold, we will discuss the level of air pollution with the fuzzy mamdani inference method. The results of the pollutant threshold study will then be applied to the rules / rules that are applied using the if-then rules and then the input variables are arranged using weighted averages, variable averages weighted will be determined higher into three levels: low, medium and high.Keywords Decision Tree, Feature Selection, Optimization of Lecturer Assistant Performance, Particle Swarm Optimization.
SCRAMBLE SENTENCE METHOD TO TEACH WRITING DESCRIPTIVE TEXT AT THE EIGHT GRADE STUDENTS OF SMP N 26 PALEMBANG

The problem of this study is “Is there any significant difference on writing achievement between the eighth grade students of SMP N 26 Palembang who are taught by using scramble sentence method and those who are not?”. This research applied quantitative method namely quasi experimental design and used simple random sampling. The writer used writing rubric to collect data and analyzed the result of test by using paired sample t-test and independent simple t-test. Total number of population was 303 students which is VIII.3 as control group and VIII.I, as experimental group. Based on the result of this study, the mean score in post test score were 73.44 for control group and 76.09 for experimental group. The result of the independent sample t-test shows the value of sig. (2-tailed) was 0.01 &lt; 0.05 at the level of significant 0.05. While, the value of t-obtained was 2.415 higher than the critical value of t-table was 1.665 with degree of freedom 62, can be concluded that the null hypothesis was rejected and the alternative hypothesis was accepted.
ANALYSIS OF DRAINAGE CAPACITY AS A FLOOD CONTROL EFFECTS IN LAWEYAN SUB-DISTRICT

Laweyan sub-district is located in the Laweyan sub-district, Surakarta City, and passes by a Premulung river. Flooding is often causing inundation around the riverbank area. Due to the high rainfall intensity, the discharge at the confluence of the two rivers is causing overtopping of embankment in many sites. It happened to the Premulung River and the Brojo River. As an effort to control floods, it must analyze the existing drainage system. It is an effective way to determine the performance of a drainage system. The drainage system depends on the contour maps of the Laweyan sub-district on the flood-affected area. The capacity of the drainage system is calculated by Hec-Ras. Reducing the volume of runoff is analyzed based on the Manning's formula. The result shows that the drainage channel has ability to reduce flooding. The flash flooding volume of the Premulung rivers due to Q10 is 3750 m3/hr. Based on Q25, 4272.5 m3/hr, based on the maximum of two-consecutive days rainfall, 5722.8 m3/hr, the flooding caused inundation in 3 sites with duration for a long 23 hours. The existing drainage in normal conditions with a capacity of 118653.26m3 / hour can reduce water runoff from rivers.
Site Accessibility Prediction with Random Forest Algorithm and Quadruped Bot

Quadruped robots are legged robots that can adapt to various structural locomotions.Legged robots are mostly used for surveillance and stealth purposes in military and disaster management [1].They are rarely used in day to day life.This paper introduces a way to bring about the use of quadruped bot into day to day life.Such a bot can be used to attach several sensors to collect surrounding environmental data and this data can be used to predict whether a particular place or area is safe to be approached by a certain group of people.The grouping based on age group and health conditions.