Purpose: This paper aims to present an overview of the challenges encountered in integrating visual search interfaces into digital libraries and repositories. These challenges come in various forms, including information visualisation, the use of knowledge organisation systems and metadata quality. The main purpose of this study is the identification of criteria for the evaluation and integration of visual search interfaces, proposing guidelines and recommendations to improve information retrieval tasks with emphasis on the education-al context.Design/methodology/approach: The information included in this study was collected based on a systematic literature review approach. The main information sources were explored in several digital libraries, including Science Direct, Scopus, ACM and IEEE, and include journal articles, conference proceedings, books, European project reports and deliverables and PhD theses published in an electronic format. A total of 142 studies comprised the review.Findings: There are several issues that authors did not fully discuss in this literature review study; more specific, aspects associated with access of digital resources in digital libraries and repositories based on human computer interaction, i.e. usability and learnability of user interfaces; design of a suitable navigation method of search based on simple knowledge organisation schemes; and the use of usefulness of visual search interfaces to locate relevant resources.Research limitations/implications: The main steps for carrying out a systematic review are drawn from health care; this methodology is not commonly used in fields such as digital libraries and repositories. The authors aimed to apply the fundamentals of the systematic literature review methodology considering the context of this study. Additionally, there are several aspects of accessibility that were not considered in the study, such as accessibility to content for disabled people as defined by ISO/IEC 40500:2012.Originality/value: No other systematic literature reviews have been conducted in this field. The research presents an in-depth analysis of the criteria associated with searching and navigation methods based on the systematic literature review approach. The analysis is relevant for researchers in the field of digital library and repository creation in that it may direct them to considerations in designing and implementing visual search interfaces based on the use of information visualisation.

Internet of Things (IoT) technologies allow building a digital representation of people, objects, or physical phenomena to be available on the Internet. Thus, stakeholders can access this information from remote places or computational systems could analyze this data to find patterns, make decisions, or execute actions. For instance, a doctor could diagnose patients by analyzing the received data from an IoT system even when patients are located in a remote place. This article proposes an IoT system for monitoring electrocardiogram (ECG) signal and processing heart data in order to generate an alert when an arrhythmia is present. This system involves a Polar H10 heart sensor, machine‐learning models to classify heart events, and communication technology to share and store patient’s information. In the first place, the architecture of the IoT monitoring system and the communication between the components are described by discussing the designing criteria. Second, the experimentation process performs the training and the assessment of three classification algorithms, random forest, convolutional neural network, and k‐nearest neighbors. The results show that k‐nearest neighbor has the best accuracy percentage classifying the arrhythmias under study (premature ventricular contraction 94%, fusion of ventricular beat 81%, and supraventricular premature beat 82%); also, it is able to discern normal and unclassifiable beats with 93% and 97%, respectively.

Purpose: – This paper aims to analyse user interfaces for search and collection visualisation and navigation from a usability perspective. The final aim is to offer repository owners a scientific basis to support their decisions when they have to choose an interface that can really help users to effectively locate and visualise resources over large digital collections.Design/methodology/approach: – This HCI study is divided into two parts: perception and usability. The first one analysed three perceptual abilities required to use interfaces: attention, retention of information and understanding. The second one was run on an ad hoc generated collection including more than 40,000 European digital resources collected and classified according to a given branch of knowledge in theArt & Architecture Thesaurus.Findings: – Although visual interfaces proved useful for certain tasks related to resource discovery and search, and despite the overall good general user opinion, the authors found it necessary to conduct another thorough study to know more about the target users and the amplitude of the collection, as well as to determine the ideal type of interface to implement. All these factors are important for increasing user acceptance and avoiding unnecessary implementation costs.Research limitations/implications: – This research was run on a relatively small sample size of users from Spain and Latin America, which may not be representative of the general population. In similar studies previous knowledge about usability has been reported to introduce bias in the results, so the authors tried to avoid this when selecting the participants.Originality/value: – There are no previous usability studies for the development and implementation of interfaces in digital learning or cultural repositories. The authors' experience highlights the importance of addressing usability aspects a priori, to prevent users from ceasing to use visual interfaces over time, because they do not perceive any benefit from using them.

In recent years an effort has been made to improve supply chain management (SCM) and traceability control in different industrial sectors, for example, in agriculture one of the main concerns is about to know where is the product in particular moment and where it will be next. Problem here is, as many other systems, the centralisation of information and trust problems derived from human interaction with transactions in the system. Based on this context of lack of trust, we propose the design and development of a platform using a database based on Blockchain technologies, the platform’s main effort is to propose a solution for agriculture SCM and control over internet taking as study case Colombian agriculture negotiation process.

Internet of things is based on sensors, communication networks and intelligence that manages the entire process and the generated data. Sensors are the senses of systems, because of this, they can be used in large quantities. Sensors must have low power consumption and cost, small size and great flexibility for its use in all circumstances. Therefore, the security of these network devices, data sensors and other devices, is a major concern as it grows rapidly in terms of nodes interconnected via sensor data. This paper presents an analysis from a systematic review point of view of articles on Internet of Things (IoT), security aspects specifically at privacy level and control access in this type of environment. Finally, it presents an analysis of security issues that must be addressed, from different clusters and identified areas within the fields of application of this technology.