Reviewerly/exHarmony huggingface dataset:
DESIGN AND IMPLEMENTATION OF LICENSING INFORMATION SYSTEMS IN THE OUTSIDE OF EMPLOYEES AT PT.SINTECH BERKAH ABADI

Along with the development of current technology that has been very sophisticated and rapidly happening in this world, namely in a company, agency, even the world of education as well. At PT Sintech Berkah Abadi has an obligation to give permission to employees who submit. At this time, the management of employee exit permits is still running manually and has not been centralized computerized. Therefore, it requires papers in each process and is less efficient and it is difficult to control permit approval by employees if the HRD and the Chair are outside the office. The method used to develop an information system is to apply the analytical method using SWOT analysis, as well as data collection methods, there are three stages that must be done in collecting data, namely, Observation, Interview, and determining Literature Review (Literature Study) with the journal. The design method is done using the Unified Modeling Language (UML), Notepad ++, XAMPP and the web browser used to open the web that has been designed, Google Chrome. With the licensing system in and out of employees at PT Sintech Berkah Abadi can make it easier for employees to permit and more efficient in its use because they do not have to wait for HRD or leaders when outside the city.&#x0D; &#x0D; &#x0D;
Supplemental Material for Language Experience Predicts Semantic Priming of Lexical Decision

a URL, doi, or other permanent path for accessing the specified information in a public, openaccess repository, and the specified information must be provided in a format that is time-stamped, immutable, and permanent.Qualifying public, open-access repositories are committed to preserving data, materials, and/or registered analysis plans and keeping them publicly accessible via the web in perpetuity.Examples include the Open Science Framework (OSF) and the various Dataverse networks.Hundreds of other qualifying data/materials repositories are listed at http://re3data.org/.Preregistration of an analysis plan must take place via a publicly accessible registry system (e.g., OSF, ClinicalTrials.govor other trial registries in the WHO Registry Network, institutional registration systems).Personal websites and most departmental websites do not qualify as repositories.
INTERNET NETWORK CLASSIFICATION IN MALIKUSSALEH UNIVERSITY USING NAÏVE BAYES METHOD

The utilize of web systems at this time is exceptionally critical, particularly for the world of instruction. In expansion to the significance of the web arrange, issues frequently emerge on the web arrange due to an expansive number of clients, the issues can be gotten at the UNIMAL campus incorporate moderate, harmed, and indeed not sent information to its goal since the organize activity isn't ideal. To be able to optimize the web organize by prioritizing organize activity. In this consider, the Credulous Bayes calculation is utilized for the classification handle of organized activity capture information. The application utilized to capture organize activity is the Wireshark application. Utilizing the Credulous Bayes calculation to watch the comes about of organizing test information through a calculation prepare that has tall precision. To be specific at the Workforce of Designing 95.73% with a likelihood of testing comes about is 0.00015946 web browsing, 0.00000007 downloads, 0.00008691 gushing, 0.00008497 social media, 0.00000014 floodings.
Safe Path Planning of Mobile Robot in a known Dynamic Environment

Path planning in mobile robot navigation is an advanced method of calculating the safe and obstacle free path in static and dynamic environments are involved between source point to destination. Real time path planning method defines that how a robot can make a decision when some unknown obstacle gets encountered in the path of navigation for a dynamic situation. At the point when an obstruction comes in the way of route, the robot must choose another and safe way to advance towards the objective by evading any impact. This study is focused on exploring the algorithm that gives the safe and shortest path when an obstacle changes the environment. By using A* algorithm in MATLAB simulation the probability of collision with obstacle and robot get increased. In this simulation work a new approach of path planning has been found by placing the virtual obstacles in the environment. A new obstacle get influence in the path of navigation, using virtual obstacle boundary around the new obstacle a short and safe path get evaluated which is collision free or low risk path . The purpose for this paper is to create a dependable and smooth direction in a real time domain with impediments and to manage the robot towards the target without hitting the obstacles also considering the size of the robot.
OLPSO_Iot:A Privacy Preservation Encrypted Data For Internet of Things (Iot) Data Security in Cloud Computation Environment

The Internet of Things connected devices will send data to cloud storage but cloud storage management carries their applications without any infrastructure investment by distributed computing. Therefore, manyindustries are doing their business in the cloud. For a while,the processing ofthe original data setand several intermediate data sets wasrendered by data-intensive applications. However, a challenging task is to support the privacy of the intermediate data set.Inourearlier research, optimal privacy preserving based data search in the cloud was presented using cuckoo search encryption algorithm toimprove the security.In this paper applied the orthogonal learning PSO(OLPSO) algorithm tohelp secure the IoT data in a cloud environment and improve the data transfer as well as decrease the data loss rate with efficient memory.
An Overview on Passive Image Forensics Technology for Automatic Computer Forgery

Currently, with the popularity of sophisticated image editing tools like Photoshop, it is becoming very difficult to discriminate between an authentic image and its manipulated version, which poses a serious social problem of debasing the credibility of photographic images as definite records of events. Passive image forgery detection technology, as one main branch of image forensics, has been regarded as the promising research interest due to its versatility and universality. Automatic computer forgery employs computer intelligent algorithms to forge an image in an automatic way, which is rather more complex than copy-move forgery since the source of duplicated region could be non-continuous. In this paper, the authors provide a comprehensive overview of the state-of-the-art passive detection methods for automatic computer forgery.
Organization and conduct of the state final certification of graduates of pedagogical university

М. А. Якунчев, Н
Nyapek Application for Culinary Travelers in Bogor City Based on Android

Android is one of the famous mobile operating system created by Google company. Advantages of the android operating system itself is to provide an open platform (open source) for developers to create their own millions of applications that will be used for a wide range of mobile devices (mobile devices). Needs of information technology is developing rapidly. Mobile even more Smartphone is one of the means used to obtain information more quickly and accurately, as well as being tools needed in various fields. Especially when you're enjoying a holiday somewhere and need information right away, of course it was very helpful in finding such information. While on vacation in a place we definitely want to taste the culinary place and it has become a lifestyle in today. That's what we call the culinary tour. Culinary tourism itself is an action done a lot of people in the field of dietary needs, for entertainment. Based on application compatibility testing Nyapek culinary tourism in the city of Bogor based on Android can run optimally and display interface on the phone with Minimal OS v5.0 (Lollipop) with a 5-inch screen
An approach to auxiliary code generation for mobile environment: a case study of thrift-based codes conversion

In the development of mobile applications based on location information, system development for multisegment path planning and distant monitoring sites is complex.Developers are required to manually write inbound and outbound trigger functions for each site after multiple integrations of the planning results for a single route.In addition, each time that the route is changed, the developer needs to re-plan and re-bind the trigger function.This paper proposes an auxiliary code generation method based on the thrift application.Based on this method, a system for automatically generating code through visual design is designed, and an example of generating auxiliary development code for an application (APP) is implemented.Thrift provides multilanguage code generation services and implements a predefined point of interest (POI) recommendation service for real-time returned location information.This approach improves the efficiency of application (APP) development and also provides the ability to respond to changing process requirements.
Message from the General Chair

Welcome to the 19th edition (and the first “virtual” edition) of the IEEE/ACM International Symposium on Code Generation and Optimization (CGO)! We originally planned to hold the conference in Seoul, South Korea. But, due to the COVID-19 pandemic, we have decided to go virtual this year. Instead, we will go back to Seoul again next year for CGO 2022.
What has been learned from using such software in the real word?

This is an interesting paper on an
Web service composition ranking based on QoS and social network analysis

Web service composition refers to the aggregation of web services for producing composite solutions in order to satisfy user requirements which can't be satisfied by atomic services. It is an essential challenge to find the most reliable and trustable complex services in each composition process. Many of current composition approaches use QoS (Quality of Service) values to select among different composition candidates. However, QoS values can't be trusted all the time since some service providers may promote their services by publishing wrong QoS values. Social network analysis techniques such as PageRank have been used successfully in finding the trustable and authoritative web resources. We believe that these techniques can also be used to improve the service composition process. We have developed a modified PageRank algorithm called Service Rank in order to find the importance level of each service in a composition based on its connectivity and invocation history. This can be accomplished by assigning higher weights to links which have more number of invocations, more up-to-date invocation time and contract signing time, and longer contract durations. Eventually the Service Rank score will be combined with the QoS score for composition ranking. Preliminary results from our experiments have proved the effectiveness of this method. As a consequence users can be more satisfied with the service composition result.
Pedagogical Process of Teaching in Higher Education Institutions

Promotion of education and talent is one of the main principles of state education policy and is fully applicable to all stages of continuing education. The students' talents and abilities are encouraged by the state financially and morally. Nowadays pedagogical science is introducing new concepts in the management of educational institutions. For example, the concept of "impact" is used instead of "interaction", "cooperation", "reflexive control". The theory of educational institutions is enriched with educational management theory. The article deals with the educational management teaching process in higher education systems. The article deals with the education process in higher education systems.
Multi-View Human Activity Recognition in Distributed Camera Sensor Networks

With the increasing demand on the usage of smart and networked cameras in intelligent and ambient technology environments, development of algorithms for such resource-distributed networks are of great interest. Multi-view action recognition addresses many challenges dealing with view-invariance and occlusion, and due to the huge amount of processing and communicating data in real life applications, it is not easy to adapt these methods for use in smart camera networks. In this paper, we propose a distributed activity classification framework, in which we assume that several camera sensors are observing the scene. Each camera processes its own observations, and while communicating with other cameras, they come to an agreement about the activity class. Our method is based on recovering a low-rank matrix over consensus to perform a distributed matrix completion via convex optimization. Then, it is applied to the problem of human activity classification. We test our approach on IXMAS and MuHAVi datasets to show the performance and the feasibility of the method.
Noise and Echo Aware Accurate Dysarthria Speech Recognition Model

Dysarthria speech is the speech disorder which would be caused due to weakness of human muscles. The human with dysarthria disorder cannot speak normally whose speech will be very slow and congestive words which might be more difficult to understand. Thus it is required to create the environment where the speech of dysarthria disorder people can be recognized. This is done in our previous research work by introducing the method namely Hidden Markov Model based Speech Recognition (HMMSR). However this research work didn’t focus on accurate prediction and the echo noises presence in the speech signals. This would lead to inaccuracy in speech recognition. This is resolved by introducing the efficient dysarthria speech recognition framework namely Noise and Echo aware Dysarthria Speech Recognition Method (NE-DSRM). In this research work, Hybrid Least Mean Square-Adaptive Neuro Fuzzy Inference System (LMS-ANFIS) has been used for preprocessing. This method will remove both echo and noises present in the speech signals to ensure the accurate prediction outcome. And then speech recognition is performed by comparing the dysarthria speech with the phonological speech based on which relevancy would be identified. The accuracy of speech recognition can be improved by introducing the SVM based learning methodology which can classify the dysarthria speech based on which more relevant matching can be done. The objective of the system is, after being trained, to identify and classify limited-vocabulary sets of speaker-dependent. The overall assessment of the research work is done in the matlab simulation environment from which it is proved that the proposed method NE-DSRM tends to have better performance than the existing research works.
Outlining the Use of Strategic Questioning and Applying the Code of Ethics

Download the ASHA CE Questions PDF from the toolbar above. Use the questions to guide your Perspectives reading. When you're ready, purchase the activity from the ASHA Store and follow the instructions to take the exam in ASHA's Learning Center. Available until January 30, 2023.
Fast Encryption for Multi-Hop Wireless Sensor Networks using Gaussian Transposition Cipher

Wireless sensor network research enriched with diverse applications from industry to daily life. Widespread of sensor-based applications mandated for user authentication and secure communication. However, sensor nodes are limited energy and resources and hence secure communication for sensor nodes became a challenging task. This paper presents a fast encryption scheme for secure communication in wireless sensor networks. The proposed scheme consists of three phases namely registration, network deployment, and data transmission. In this work, a Gaussian transposition cipher for the generation of strong key. This cipher uses Gaussian noise, modified rail fence cipher and transposition. Fast encryption has achieved using XOR-based encryption and hence the proposed scheme incurs low computational cost. The proposed scheme resistant to various security attacks.
Evaluasi Tata Kelola Guna Meningkatkan Kinerja Manajemen Teknologi Informasi Menggunakan Framework COBIT 5

The Salatiga Class I District Court is a government agency that has implemented Information Technology (IT) governance which has problems in IT management, so the purpose of this study is to evaluate information technology governance using the COBIT 5 framework by determining the level of capability and gaps. The results of the recapitulation of the questionnaire with the Likert scale model obtained the average value of the selected domain getting a value of 3.28, which means that the current level of capability (as is) is at level 3 (established process), while the numbers from the range of 0 to 5 levels are expected or target (to be) namely 5 (optimization process). So that a gap or gap is obtained, namely the value of 1.27 which results in a reduction between to be and as is. The selected process domain is in the highest position, namely DSS01 with a value of 3.80 or level 4 (predictable process) while the lowest position is APO12 with a value of 2.82 or level 3 (established process). To achieve the expected conditions, the IT subdivision can improve in dealing with IT risks and IT problems that occur in the Salatiga District Court Class I B. In addition to evaluating IT governance, testing system functionality is also carried out by using the Blackbox Testing method with the Boundary Value Analysis technique. The object is used for testing the system, namely­ e-Court tested on the registration page and login page. From the results of system testing­ e-Court On the registration page, there is a discrepancy in the expected name field and on the login page that the test results ­field - field as expected.&#x0D; Keywords — Information Technology Governance; COBIT 5; e – Court; Blackbox Testing; Boundary Value Analysis.
Editor’s Letter

1. Brian Bruce 1. Editor-in-Chief <!-- --> 1. To order reprints of this article, please contact David Rowe at d.rowe{at}pageantmedia.com or 646-891-2157. To open the Fall issue, Huffman and Song propose a novel index reconstitution methodology that significantly reduces the trading
ANALISIS PERILAKU MASYARAKAT PESISIR PANTAI LAMPUNG MENCARI INFORMASI GEOGRAFIS DALAM MELINDUNGI DIRI DARI GEMPA DAN TSUNAMI

The people of South Lampung coast generally work as fishermen. The coast of Lampung is prone to tsunamis and earthquakes because in addition to the position of the coast directly facing Mount Merapi Anak Karakatau, it is also at the confluence of three active plates: the Indo-Australian plate in the south, the Euro-Asia plate in the north plate and the Pacific on the east are very vulnerable against disasters, both from volcanic and tectonic activity.&#x0D; This study aims to describe the behavior of information seekers in the coastal communities of South Lampung who were affected by the tsunami and earthquake related to natural conditions and infrastructure.&#x0D; This research includes field research using the phenomenological method.&#x0D; The results showed that the information behavior of coastal communities in searching for geographic information shows that 1) they use mass media (WhatsApp, Facebook, and information centers) to search for geographic information related to tsunamis and earthquakes 2) Geographical information is obtained to fulfill their interests. work as a fisherman. 3) In addition, the use of information and communication technology media is due to psychological aspects and for social networking. 4) Constraints faced in the use of information and communication technology, namely the problem of skills / skills, especially strategies to find information, costs, and internet signals.
A Light Weight Cryptographic Technique for Secure Outsourcing and Retrieval of Data in Cloud Computing

Outsourcing large volumes of data to public cloud has the potential benefits to consumers. It also brings security issues as the cloud is treated as untrusted from the user point of view. Security issues may arise due to many reasons such as virtualization, resource pooling, elasticity, hidden hardware problems besides internal and external attacks launched by adversaries. Service Level Agreements (SLAs) between Cloud Service Provider (CSP) and cloud consumer are to be honoured for better social welfare. Therefore, it is indispensable to have mechanisms to ensure security to outsourced data when it is at rest and when it is in transit as well. Towards this end, many solutions came as found in the literature. However, most of the cryptographic methods employed were expensive. It is still an open challenge to develop light weight cryptographic methods for secure storage and retrieval or search for outsourced encrypted data. In this paper we proposed a methodology for light weight encryption which proved to be effective and suitable for cloud computing environments. An algorithm named Hybrid Lightweight Data Encryption (HLDE) is proposed and implemented. Empirical study is made on the same to validate our approach. The experimental results revealed that the proposed method is better than the state of the art in terms of high performance and strong security to outsourced data in cloud computing.
The problem of software piracy

social effect, scandalous, shocking, unethical advertising can bring not only positive but also negative results.
Pengujian Metode Kuantitasi Untuk Melakukan Kompresi Citra RGB

At present the use of RGB images is a necessity in various fields. However, its use is constrained by a large file capacity, but it is possible to compress the image that is owned as needed. With the quantization method, the R matrix, the G matrix and the B matrix will be reduced, so that the number of bits used to represent the image will be reduced. Because the number of bits is reduced, the file size becomes smaller. The quantization method is included in the Lossy Compression category, so the compressed image cannot be decompressed again because there is information missing.
Socirank Diagnose and Dispose Rife News Topics Proving Cordial Disclosure Component

Broad communications resources, specifically the journalism, have actually generally informed USA of daily occasions. In present day times, web-based social networking managements, as an example, Twitter provides a stupendous procedure of customer produced information, which might most likely contain helpful news-related material. For these properties to be valuable, we need to constantly figure out a way to direct commotion as well as simply capture the compound that, in lightweight of its alikeness to the journalism, is thought about successful. still, also when turmoil is removed, knowledge over-burden could all the same exist within the rest of the understanding after, it is useful to organize it for application. To achieve prioritization, expertise needs to be placed arranged by evaluated relevance brooding regarding 3 components. to begin with, the short-term generality of a specific subject within the journalism can be a concern of importance, and could be seen since the media center (MF) of a factor. Second, the short-term commonness of the topic in social networks reveals its consumer thought (UA). Last, the teamwork in between the on-line mainly based life consumers United Nations firm notification this subject demonstrates the standard of the network chatting concerning it, and can be watched since the consumer partnership (UI) at the purpose. We recommend AN ignored framework-- SociRank-- which recognizes news points primary in each net mainly based life as well as also the information media, and also after positions them by value using their degrees of MF, UA, and also UI. Our tests demonstrate that SociRank boosts the standard as well as selection of naturally acknowledged news points.