23 10 3575 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource adi, Puput Dani Prasetyo Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-13 Description An account of the resource This study aims to examine the ability and Performance or Quality of Services of the IEEE 802.15.4 or ZigBee Radio Frequency module on the sensor node ZigBee based. Furthermore, ZigBee's communication capabilities i.e., Tree, Star, and mesh networking were developed on the internet or Internet of Thing using RaspBerryPi 4 as the Internet Gateway. The sensors used e.g., Pulse sensor and temperature and Humidity Sensor. Moreover, the Spectrum Analyzer is used to measure the Radio Frequency Value (-dBm) per Channel (CH1 to CH12) on the Zigbee module (EDs and CN) communication at different distances,on the Mesh or Tree ZigBee Communication, ZR can be used, at Point to Point ZigBee, the role of ZR is neglected. Energy efficiency battery ZigBee sensor nodes need to be considered to obtain sensor nodes Long Life, moreover, RSSI (-dBm) is the key to the analysis of sensor node communication systems on different sensor node clustering, including Throughput, PacketLoss sensor data, and data analysis on Application Server. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/360 10.31763/iota.v1i1.360 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/360/92 Rights Information about rights held in and over the resource Copyright (c) 2021 IOTA (Internet of Things and Artificial Intelegence) Journal https://ascee.org/user/about Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 1 (2021): Volume 1 Issue 1, 2021 [February]; 50-62 2774-4353 Subject The topic of the resource ZigBee RSSI Throughput PacketLoss Application Server Title A name given to the resource A ZigBee Test Performance with DHT11 Temperature sensor Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource adi, Puput Dani Prasetyo siregar, Victor M.M. Date A point or period of time associated with an event in the lifecycle of the resource 2021-05-12 Description An account of the resource This study discusses the Performance of Moisture soil sensor, which is useful as a sensor to detect soil moisture level used as plant nutrition. The monitoring process is carried out in real-time using internet of things technology based on LoRa or Long-Range Radio Frequency (IoT-LoRa). The application server used is Thingspeak. With this research, agricultural processes and monitoring can be carried out dynamically and efficiently. Therefore, when the soil conditions are dry or the soil moisture level is <300, it will immediately affect automatic watering by opening the valve or rotating the Servo motor. Furthermore, the watering process can be done automatically by looking at the soil conditions on potted plants or agricultural land. The position of the sensor on the ground level is not immediately removed and moved to another place, but it is always in the same condition and location, so the Adaptive Data Rate mechanism is used for the management of Power Consumption on IoT-LoRa Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/495 10.31763/iota.v1i2.495 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/495/135 Rights Information about rights held in and over the resource Copyright (c) 2021 Internet of Things and Artificial Intelligence Journal Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 2 (2021): Volume 1, Issue 2, 2021 [May]; 120-132 2774-4353 Subject The topic of the resource moisture soil monitoring IoT plants LoRa Title A name given to the resource A Soil moisture sensor based on Internet of Things LoRa Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource adi, Puput Dani Prasetyo Mustamu, Novilda Elizabeth siregar, Victor M.M. Sihombing, Volvo Date A point or period of time associated with an event in the lifecycle of the resource 2021-10-14 Description An account of the resource Spraying appropriately and regularly will help develop rice plants' growth and development to produce superior rice. These pesticides' spraying is sometimes uneven because of the vast land, limited human labor, and several other factors. that appropriate technology is needed that helps in the process of spraying rice pesticides using drones. Drones are deemed appropriate in spraying its advantages, among others, more effective, reducing the involvement of humans in work. Drones help track consistently and in detail the part of agricultural land that will be sprayed with pesticides, unlike humans. It is more automatic in monitoring, with the camera used on the drone can see the growth of rice plants directly and do recording or real-time connecting to the application server or IoT. Besides spraying pesticides, regular monitoring of plants can be done with drones. This study uses a UAV simulation for mapping the location of pesticide spraying, the results of contributions to large areas, and analysis of drone power consumption, which means allocating Drones to the area of land being managed. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/501 10.31763/iota.v1i4.501 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/501/141 Rights Information about rights held in and over the resource Copyright (c) 2021 Internet of Things and Artificial Intelligence Journal Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 4 (2021): Volume 1 Issue 4, 2021 [November]; 221-235 2774-4353 Subject The topic of the resource Automatic Spraying drone internet-server monitoring power consumption Title A name given to the resource Drone simulation for agriculture and LoRa based approach Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource adi, Puput Dani Prasetyo Wahyu, Yuyu Date A point or period of time associated with an event in the lifecycle of the resource 2022-02-18 Description An account of the resource Images Recognition and Face Recognition are a form of artificial intelligence developed on Robots and Smart CCTV, such as technology currently developing, such as YOLO Real-time Object Detection and Images Recognition using Python language. In this research, the tool trying to be used is the ESP32 camera and his approach to several types of study, such as smart door locks.  To activate this ESP32 camera, use the ATmega 328 mini Microcontroller, Arduino board, and FTDI Programmer.  The thing that can be analyzed is the delay or inference time (ms) on the ESP32 camera.  Face recognition technology in this research is devoted to using the ES32 camera, which is expected to be an inexpensive image recognition solution.  This research using the ESP32 camera was made as easy as possible to be applied by everyone, but by not leaving the analysis side, one of which is on the time side of the camera's detection of the object in front of it, how far and fast (ms), this object can be explicitly detected.  Speed is seen from the resolution specifications used for face recognition and image recognition, such as CIF and QVGA, and throughput (bytes) analysis of ESP32-Cam and Server using Wireshark. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/512 10.31763/iota.v2i1.512 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/512/146 Rights Information about rights held in and over the resource Copyright (c) 2022 Internet of Things and Artificial Intelligence Journal https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 2 No. 1 (2022): Volume 2 Issue 1, 2022 [February]; 10-21 2774-4353 Subject The topic of the resource face recognition esp32 camera intelligent detection smart door lock Artificial intelligence Title A name given to the resource A Performance evaluation of ESP32 Camera Face Recognition for various projects Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of Things and Artificial Intelligence Journal Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Lesmana, Yandri Pane, Rahmadani Hsb, Elysa Rohayani Hakim, Lukman Agusti, Nelly Irmayani, Deci adi, Puput Dani Prasetyo Date A point or period of time associated with an event in the lifecycle of the resource 2021-11-19 Description An account of the resource Home security is an essential factor and must be maintained; currently, the development of technology or security systems continues to be improved, one of which is Eye Retina and Artificial Intelligence. in this research, the use of Motion Sensors in Home Security, performance evaluation, and future development. In this time, more crimes occur in our environment, one of which is theft or breaking into people's homes in various areas; this problem is disturbing to residents in areas where these crimes often occur, even though so far, residents have used many methods to prevent crime, one of which is installing CCTV. However, thieves still have managed to escape the CCTV surveillance. But suppose we use a security system that can make a sound. In that case, the sound can make criminals cancel their intention to steal because the sound disturbs their concentration and can also wake the house owner or tell residents about a crime in the house. And in this article, I will describe a home security system. This system requires several supporting equipment, such as PIR, Arduino, Buzzer, and other tools. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://pubs.ascee.org/index.php/iota/article/view/533 10.31763/iota.v1i4.533 Language A language of the resource eng Publisher An entity responsible for making the resource available Association for Scientific Computing, Electronics, and Engineering (ASCEE) Relation A related resource https://pubs.ascee.org/index.php/iota/article/view/533/148 Rights Information about rights held in and over the resource Copyright (c) 2021 ascee.org https://ascee.org/ Source A related resource from which the described resource is derived Internet of Things and Artificial Intelligence Journal; Vol. 1 No. 4 (2021): Volume 1 Issue 4, 2021 [November]; 265-275 2774-4353 Subject The topic of the resource Microcontroller Arduino home security Motion Sensor PIR sensor IoT Title A name given to the resource A Review of Motion Sensors as a Home Security System and approach to the Internet of Things Project Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Adi, Sapto Fathoni, Abi Fajar Date A point or period of time associated with an event in the lifecycle of the resource 2020-07-31 Description An account of the resource The students at Sports School are athletes that often leave school for training camps or participate in competitions outside the city. This study therefore, aims to determine the characteristics, conditions, and needs of Sports Schools in Indonesia as a basis for the Blended Learning development. Data were collected on information related to Sports School in various regions of Indonesia, through surveys. The result showed that there are special services for students that participate in training camps and competitions. However, their skill is ineffective and requires an increase in teaching hours and workload. Therefore, based on the characteristics of the Sports School and the needs of teachers and students, the Blended Learning model was developed Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/15595 10.3991/ijim.v14i12.15595 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/15595/7585 Rights Information about rights held in and over the resource Copyright (c) 2020 Sapto Adi, Abi Fajar Fathoni Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 12 (2020); pp. 149-164 1865-7923 Title A name given to the resource Blended Learning Analysis for Sports Schools in Indonesia Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Divayana, Dewa Gede Hendra Ariawan, I Putu Wisna Adiarta, Agus Date A point or period of time associated with an event in the lifecycle of the resource 2019-12-18 Description An account of the resource The principal objective of this study was to introduce the existence on development of Countenance evaluation application that can be used to evaluate the moral and quality of students’ computer knowledge by using evaluation indicators which oriented to combining between ANEKA values with the Tri Hita Karana concept. This research was developed by using the Borg & Gall method, which focuses on the stages of creating a mobile web-based evaluation application, field trial stage, and revision stage of field trial results. The subjects involved in creating the application as much as three peoples, subjects involved in the field trial as much as 94 peoples, and subjects involved in the revision of field trial as much as three peoples. The instruments that were used in conducting the assessment on the field trial was in questionnaires form. The technique that was used to analyze the collected data from field trials results using quantitative descriptive techniques by determining the average of percentage from application quality that was compared to a standard score of application quality that refers to eleven’s scale. The study results showed that the quality of the evaluation application belongs to a very good category, so it was ready to be implemented, and it is no need to be done the major revision. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/10858 10.3991/ijim.v13i12.10858 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/10858/6257 Rights Information about rights held in and over the resource Copyright (c) 2019 Dewa Gede Hendra Divayana Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 12 (2019); pp. 81-103 1865-7923 Subject The topic of the resource Mobile Web Evaluation Application Countenance ANEKA Tri Hita Karana Title A name given to the resource Development of Countenance Application Oriented on Combining ANEKA-Tri Hita Karana as A Mobile Web to Evaluate the Computer Knowledge and Morality Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Harjoseputro, Yulius Handarkho, Yonathan Dri Adie, Heronimus Tresy Renata Date A point or period of time associated with an event in the lifecycle of the resource 2019-12-18 Description An account of the resource the rapid development of mobile technologies allows platform devices to perform sophisticated tasks, including character recognition. These identification systems are notable techniques that required high computation cost, in order to achieve acceptable accuracy resulting from diversity in alphabet shape and method of writing, especially for the non-Latin alphabet, e.g., Javanese letter. In addition, numerous studies have attempted to address these issues by employing a Convolution Neural Network (CNN) due to its ability to provide high accuracy in character detection. However, the performance on mobile devices is possibly faced with problems resulting from the limitation of computation resource on the platform that also affect computation cost. This study, therefore, proposes a 2-tier architecture by placing the mobile app as a client that invokes a Javanese letters classifier service, which is based on CNN, and implemented in the web-server through the Application Program Interface (API). The results show that the letter classification was successfully implemented in a mobile platform, with an accuracy rate of 86.68%, utilizing training for 50 epochs, and an average time of 1935 ms. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/11492 10.3991/ijim.v13i12.11492 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/11492/6255 Rights Information about rights held in and over the resource Copyright (c) 2019 Yulius Harjoseputro, Heronimus Tresy Renata Adie Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 12 (2019); pp. 67-80 1865-7923 Subject The topic of the resource CNN Javanese letter character recognition Mobile client 2-tier architecture API Title A name given to the resource The Javanese Letters Classifier with Mobile Client-Server Architecture and Convolution Neural Network Method Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Adil. O. Y. Mohamed Date A point or period of time associated with an event in the lifecycle of the resource 2023-02-23 Description An account of the resource The rate of smartphone purchases is rising daily, and mobile payments are now frequently accepted in various areas. It is essential to transfer money completely safe as well as quick. The encrypted distributed ledgers function provides verified real-time transaction confirmation without the necessity for intermediaries like banks and clearinghouses; blockchain provide quick, secure, decentralized, and inexpensive transaction services. Blockchain technology makes money transfer simpler with transparency and financial data security. Through these capabilities, blockchain has attracted interest from around the world. However, some challenges arise while completing some financial security needs. This work proposes a framework for secure mobile payments based on blockchain technology. The advantages of blockchain are discussed and how blockchain technology provides multi-level authentication to secure mobile based financial transactions. Due to the increased safety and confidentiality of users on mobile payment apps, the suggested system takes into account the need of developing a safe application for the mobile transactions. We have also addressed the security related challenges of blockchain based payment applications and provided potential solutions. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/37671 10.3991/ijim.v17i04.37671 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/37671/12755 Rights Information about rights held in and over the resource Copyright (c) 2023 Adil. O. Y. Mohamed https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 04 (2023); pp. 37-46 1865-7923 Subject The topic of the resource Mobile Payment; Blockchain; Secure; transaction; fast Title A name given to the resource Intelligent Blockchain-Based Secure Framework for Transaction in Mobile Electronic Payment System Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Fuada, Syifaul Adiono, Trio Prasetiyo, Prasetiyo Date A point or period of time associated with an event in the lifecycle of the resource 2020-09-22 Description An account of the resource In this report, we perform the digital filter computation using Matlab for Wi-Fi tracking application. This work motivates to improve the accuracy of filter algorithm in the RSSI-based distance localization system. There are several aspects that we can improve, e.g., in the Filter part and Path-loss model. But, in this work, we focus on filter part; Unscented Kalman Filter (UKF) is implemented to replace linear Kalman Filter (KF), which is used in previous work. Based on the performance comparison, UKF has 90% hit ratio while linear KF has only 81.15 % hit ratio. We found that UKF can handle the noise in RSSI. Further work, the UKF algorithm is then embedded on the server system. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/14077 10.3991/ijim.v14i16.14077 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/14077/7885 Rights Information about rights held in and over the resource Copyright (c) 2020 Syifaul Fuada, Trio Adiono, Prasetiyo Prasetiyo Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 16 (2020); pp. 225-233 1865-7923 Subject The topic of the resource Unscented Kalman Filter (UKF) RSSI-based Distance Localization Wi-Fi Tracking System Title A name given to the resource Accuracy Improvement of RSSI-based Distance Localization using Unscented Kalman Filter (UKF) Algorithm for Wi-Fi Tracking Application Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Non-refereed Article