Pub Date : 2024-02-28DOI: 10.22364/bjmc.2019.7.1.02
B. O. Sadiq, O. Ochia, O. S. Zakariyya, A. Salami
Edge detection as a pre-processing stage is a fundamental and important aspect of the number plate extraction system. This is due to the fact that the identification of a particular vehicle is achievable using the number plate because each number plate is unique to a vehicle. As such, the characters of a number plate system that differ in lines and shapes can be extracted using the principle of edge detection. This paper presents a method of number plate extraction using edge detection technique. Edges in number plates are identified with changes in the intensity of pixel values. Therefore, these edges are identified using a single based pixel or collection of pixel-based approach. The efficiency of these approaches of edge detection algorithms in number plate extraction in both noisy and clean environment are experimented. Experimental results are achieved in MATLAB 2017b using the Pratt Figure of Merit (PFOM) as a performance metric
{"title":"On the Accuracy of Edge Detectors in Number Plate Extraction","authors":"B. O. Sadiq, O. Ochia, O. S. Zakariyya, A. Salami","doi":"10.22364/bjmc.2019.7.1.02","DOIUrl":"https://doi.org/10.22364/bjmc.2019.7.1.02","url":null,"abstract":"Edge detection as a pre-processing stage is a fundamental and important aspect of the number plate extraction system. This is due to the fact that the identification of a particular vehicle is achievable using the number plate because each number plate is unique to a vehicle. As such, the characters of a number plate system that differ in lines and shapes can be extracted using the principle of edge detection. This paper presents a method of number plate extraction using edge detection technique. Edges in number plates are identified with changes in the intensity of pixel values. Therefore, these edges are identified using a single based pixel or collection of pixel-based approach. The efficiency of these approaches of edge detection algorithms in number plate extraction in both noisy and clean environment are experimented. Experimental results are achieved in MATLAB 2017b using the Pratt Figure of Merit (PFOM) as a performance metric","PeriodicalId":431209,"journal":{"name":"Balt. J. Mod. Comput.","volume":"85 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140421637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-27DOI: 10.48550/arXiv.2304.14825
Julija Ovcinnikova, A. Sostaks, Kārlis Čerāns
Knowledge graphs (KG) have become an important data organization paradigm. The available textual query languages for information retrieval from KGs, as SPARQL for RDF-structured data, do not provide means for involving non-technical experts in the data access process. Visual query formalisms, alongside form-based and natural language-based ones, offer means for easing user involvement in the data querying process. ViziQuer is a visual query notation and tool offering visual diagrammatic means for describing rich data queries, involving optional and negation constructs, as well as aggregation and subqueries. In this paper we review the visual ViziQuer notation from the end-user point of view and describe the conceptual and technical solutions (including abstract syntax model, followed by a generation model for textual queries) that allow mapping of the visual diagrammatic query notation into the textual SPARQL language, thus enabling the execution of rich visual queries over the actual knowledge graphs. The described solutions demonstrate the viability of the model-based approach in translating complex visual notation into a complex textual one; they serve as semantics by implementation description of the ViziQuer language and provide building blocks for further services in the ViziQuer tool context.
{"title":"Visual Diagrammatic Queries in ViziQuer: Overview and Implementation","authors":"Julija Ovcinnikova, A. Sostaks, Kārlis Čerāns","doi":"10.48550/arXiv.2304.14825","DOIUrl":"https://doi.org/10.48550/arXiv.2304.14825","url":null,"abstract":"Knowledge graphs (KG) have become an important data organization paradigm. The available textual query languages for information retrieval from KGs, as SPARQL for RDF-structured data, do not provide means for involving non-technical experts in the data access process. Visual query formalisms, alongside form-based and natural language-based ones, offer means for easing user involvement in the data querying process. ViziQuer is a visual query notation and tool offering visual diagrammatic means for describing rich data queries, involving optional and negation constructs, as well as aggregation and subqueries. In this paper we review the visual ViziQuer notation from the end-user point of view and describe the conceptual and technical solutions (including abstract syntax model, followed by a generation model for textual queries) that allow mapping of the visual diagrammatic query notation into the textual SPARQL language, thus enabling the execution of rich visual queries over the actual knowledge graphs. The described solutions demonstrate the viability of the model-based approach in translating complex visual notation into a complex textual one; they serve as semantics by implementation description of the ViziQuer language and provide building blocks for further services in the ViziQuer tool context.","PeriodicalId":431209,"journal":{"name":"Balt. J. Mod. Comput.","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124321114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-28DOI: 10.22364/bjmc.2022.10.3.01
Toms Bergmanis, Marcis Pinnis
. In this paper, we examine the development and usage of six low-resource machine translation systems translating between the Ukrainian language and each of the official languages of the Baltic states. We developed these systems in reaction to the escalating Ukrainian refugee crisis caused by the Russian military aggression in Ukraine in the hope that they might be helpful for refugees and public administrations. Now, two months after MT systems were made public, we analyze their usage patterns and statistics. Our findings show that the Latvian-Ukrainian and Lithuanian-Ukrainian systems are integrated into the public services of Baltic states, leading to more than 127 million translated sentences for the Lithuanian-Ukrainian system. Motivated by these findings, we further enhance our MT systems by better Ukrainian toponym translation and publish an improved version of the Lithuanian-Ukrainian system.
{"title":"From Zero to Production: Baltic-Ukrainian Machine Translation Systems to Aid Refugees","authors":"Toms Bergmanis, Marcis Pinnis","doi":"10.22364/bjmc.2022.10.3.01","DOIUrl":"https://doi.org/10.22364/bjmc.2022.10.3.01","url":null,"abstract":". In this paper, we examine the development and usage of six low-resource machine translation systems translating between the Ukrainian language and each of the official languages of the Baltic states. We developed these systems in reaction to the escalating Ukrainian refugee crisis caused by the Russian military aggression in Ukraine in the hope that they might be helpful for refugees and public administrations. Now, two months after MT systems were made public, we analyze their usage patterns and statistics. Our findings show that the Latvian-Ukrainian and Lithuanian-Ukrainian systems are integrated into the public services of Baltic states, leading to more than 127 million translated sentences for the Lithuanian-Ukrainian system. Motivated by these findings, we further enhance our MT systems by better Ukrainian toponym translation and publish an improved version of the Lithuanian-Ukrainian system.","PeriodicalId":431209,"journal":{"name":"Balt. J. Mod. Comput.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121742302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-02DOI: 10.22364/bjmc.2022.10.3.07
Maksym Del, Mark Fishel
. Low-resource languages, such as Baltic languages, benefit from Large Multilingual Models (LMs) that possess remarkable cross-lingual transfer performance capabilities. This work is an interpretation and analysis study into cross-lingual representations of Multilingual LMs. Previous works hypothesized that these LMs internally project representations of different languages into a shared cross-lingual space. However, the literature produced contradictory results. In this paper, we revisit the prior work claiming that "BERT is not an Interlingua" and show that different languages do converge to a shared space in such language models with another choice of pooling strategy or similarity index. Then, we perform cross-lingual representational analysis for the two most popular multilingual LMs employing 378 pairwise language comparisons. We discover that while most languages share joint cross-lingual space, some do not. However, we observe that Baltic languages do belong to that shared space. 1
{"title":"Similarity of Sentence Representations in Multilingual LMs: Resolving Conflicting Literature and a Case Study of Baltic Languages","authors":"Maksym Del, Mark Fishel","doi":"10.22364/bjmc.2022.10.3.07","DOIUrl":"https://doi.org/10.22364/bjmc.2022.10.3.07","url":null,"abstract":". Low-resource languages, such as Baltic languages, benefit from Large Multilingual Models (LMs) that possess remarkable cross-lingual transfer performance capabilities. This work is an interpretation and analysis study into cross-lingual representations of Multilingual LMs. Previous works hypothesized that these LMs internally project representations of different languages into a shared cross-lingual space. However, the literature produced contradictory results. In this paper, we revisit the prior work claiming that \"BERT is not an Interlingua\" and show that different languages do converge to a shared space in such language models with another choice of pooling strategy or similarity index. Then, we perform cross-lingual representational analysis for the two most popular multilingual LMs employing 378 pairwise language comparisons. We discover that while most languages share joint cross-lingual space, some do not. However, we observe that Baltic languages do belong to that shared space. 1","PeriodicalId":431209,"journal":{"name":"Balt. J. Mod. Comput.","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122909933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-07DOI: 10.21203/RS.3.RS-237508/V2
A. Malashina
We research n-gram dictionaries and estimate its coverage and entropy based on the web corpus of English. We consider a method for estimating the coverage of empirically generated dictionaries and an approach to address the disadvantage of low coverage. Based on the ideas of Kolmogorov’s combinatorial approach, we estimate the n-gram entropy of the English language and use mathematical extrapolation to approximate the marginal entropy. In addition, we approximate the number of all possible legal n-grams in the English language for large order of n-grams.
{"title":"The Combinatorial Analysis of n-Gram Dictionaries, Coverage and Information Entropy based on the Web Corpus of English","authors":"A. Malashina","doi":"10.21203/RS.3.RS-237508/V2","DOIUrl":"https://doi.org/10.21203/RS.3.RS-237508/V2","url":null,"abstract":"\u0000 We research n-gram dictionaries and estimate its coverage and entropy based on the web corpus of English. We consider a method for estimating the coverage of empirically generated dictionaries and an approach to address the disadvantage of low coverage. Based on the ideas of Kolmogorov’s combinatorial approach, we estimate the n-gram entropy of the English language and use mathematical extrapolation to approximate the marginal entropy. In addition, we approximate the number of all possible legal n-grams in the English language for large order of n-grams.","PeriodicalId":431209,"journal":{"name":"Balt. J. Mod. Comput.","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116321269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-28DOI: 10.22364/BJMC.2020.8.3.01
Oskars Java, M. Kohv, Asko Löhmus
In order to support the conservation of bog ecosystem over its geographic range and its genetic diversity, marginal areas of lower quality as a result of damage or degradation which abut active raised bogs may need to be included, protected and, where practicable, regenerated. There are very few intact or near-intact raised bogs in Europe, except in Finland and Sweden where active raised bogs are the predominant mire complex type in hemiboreal and southern boreal regions (European Commission, 2013). Leaf area index is an important parameter as it emblematize vegetation. After the construction of drainage, bogs usually become overgrown with trees, the restoration of the ecosystem requires vegetation manipulation. There are many degraded bogs in Estonia and Latvia that have overgrown with trees, and this type of simulation model would help to calculate the right tree cutting intensity to reduce the impact of evaporation and interception of trees on the water balance of the bog, thereby contributing to the restoration of the bogs. This article describes the case study of Männikjärve’s bog where system dynamics simulation model for decision-making, built in Stella Architect environment, was validated.
{"title":"Hydrological Model for Decision-Making: Männikjärve Bog Case Study, Estonia","authors":"Oskars Java, M. Kohv, Asko Löhmus","doi":"10.22364/BJMC.2020.8.3.01","DOIUrl":"https://doi.org/10.22364/BJMC.2020.8.3.01","url":null,"abstract":"In order to support the conservation of bog ecosystem over its geographic range and its genetic diversity, marginal areas of lower quality as a result of damage or degradation which abut active raised bogs may need to be included, protected and, where practicable, regenerated. There are very few intact or near-intact raised bogs in Europe, except in Finland and Sweden where active raised bogs are the predominant mire complex type in hemiboreal and southern boreal regions (European Commission, 2013). Leaf area index is an important parameter as it emblematize vegetation. After the construction of drainage, bogs usually become overgrown with trees, the restoration of the ecosystem requires vegetation manipulation. There are many degraded bogs in Estonia and Latvia that have overgrown with trees, and this type of simulation model would help to calculate the right tree cutting intensity to reduce the impact of evaporation and interception of trees on the water balance of the bog, thereby contributing to the restoration of the bogs. This article describes the case study of Männikjärve’s bog where system dynamics simulation model for decision-making, built in Stella Architect environment, was validated.","PeriodicalId":431209,"journal":{"name":"Balt. J. Mod. Comput.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128713154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-28DOI: 10.22364/BJMC.2020.8.3.06
Tomas Rasymas, Laurynas Dovydaitis
. Phishing detection is mostly performed through the usage of blacklists. However, blacklists cannot be exhaustive and lack the ability to detect newly generated phishing URLs. In recent years, increased attention has been given to exploring machine learning techniques in order to improve the universality of phishing URL detectors. This article aims at presenting our results on phishing URLs classification where three different features: lexical features, character level embeddings, and word level embeddings were compared with the view to find an approach that maximizes the ratio of phishing URL detection. In addition, a new deep neural network architecture for that problem was suggested. The said deep neural network consists of combined multiple CNN and LSTM layers. The 94.4% accuracy was achieved by combining character and word level embeddings.
{"title":"Detection of Phishing URLs by Using Deep Learning Approach and Multiple Features Combinations","authors":"Tomas Rasymas, Laurynas Dovydaitis","doi":"10.22364/BJMC.2020.8.3.06","DOIUrl":"https://doi.org/10.22364/BJMC.2020.8.3.06","url":null,"abstract":". Phishing detection is mostly performed through the usage of blacklists. However, blacklists cannot be exhaustive and lack the ability to detect newly generated phishing URLs. In recent years, increased attention has been given to exploring machine learning techniques in order to improve the universality of phishing URL detectors. This article aims at presenting our results on phishing URLs classification where three different features: lexical features, character level embeddings, and word level embeddings were compared with the view to find an approach that maximizes the ratio of phishing URL detection. In addition, a new deep neural network architecture for that problem was suggested. The said deep neural network consists of combined multiple CNN and LSTM layers. The 94.4% accuracy was achieved by combining character and word level embeddings.","PeriodicalId":431209,"journal":{"name":"Balt. J. Mod. Comput.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123835970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-28DOI: 10.22364/BJMC.2020.8.3.03
B. Awale, Pietro Murano
This paper details a two-part evaluation of the Apple TV user interface. A Heuristic Evaluation and an evaluation using the seven universal design principles were carried out. The overall results showed that the Apple TV user interface has various failings in the design for users of diverse kinds. Suggestions for ways forward include designers using more rigorously the ISO standards and well established user interface design guidelines.
{"title":"A Preliminary Usability and Universal Design Evaluation of a Television App User Interface","authors":"B. Awale, Pietro Murano","doi":"10.22364/BJMC.2020.8.3.03","DOIUrl":"https://doi.org/10.22364/BJMC.2020.8.3.03","url":null,"abstract":"This paper details a two-part evaluation of the Apple TV user interface. A Heuristic Evaluation and an evaluation using the seven universal design principles were carried out. The overall results showed that the Apple TV user interface has various failings in the design for users of diverse kinds. Suggestions for ways forward include designers using more rigorously the ISO standards and well established user interface design guidelines.","PeriodicalId":431209,"journal":{"name":"Balt. J. Mod. Comput.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134398750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-28DOI: 10.22364/BJMC.2020.8.3.02
Anastasija Nikiforova
. Data quality issue has emerged since the end of the 60’s, however, more than 50 years later, it remains unresolved and is still current, mainly due the popularity of data and open data. The paper proposes a data object-driven approach to data quality evaluation. This user-oriented solution is based on 3 main components: data object, data quality specification and the process of data quality measuring. These components are defined by 3 graphical DSLs, that are easy enough even for non-IT experts. The approach ensures data quality analysis depending on the use-case. Developed approach allows analysing quality of “third-party” data. The proposed solution is applied to open data sets. The result of approbation of the proposed approach demonstrated that open data have numerous data quality issues. There are also underlined common data quality problems detected not only in Latvian open data but also in open data of 3 European countries.
{"title":"Definition and Evaluation of Data Quality: User-Oriented Data Object-Driven Approach to Data Quality Assessment","authors":"Anastasija Nikiforova","doi":"10.22364/BJMC.2020.8.3.02","DOIUrl":"https://doi.org/10.22364/BJMC.2020.8.3.02","url":null,"abstract":". Data quality issue has emerged since the end of the 60’s, however, more than 50 years later, it remains unresolved and is still current, mainly due the popularity of data and open data. The paper proposes a data object-driven approach to data quality evaluation. This user-oriented solution is based on 3 main components: data object, data quality specification and the process of data quality measuring. These components are defined by 3 graphical DSLs, that are easy enough even for non-IT experts. The approach ensures data quality analysis depending on the use-case. Developed approach allows analysing quality of “third-party” data. The proposed solution is applied to open data sets. The result of approbation of the proposed approach demonstrated that open data have numerous data quality issues. There are also underlined common data quality problems detected not only in Latvian open data but also in open data of 3 European countries.","PeriodicalId":431209,"journal":{"name":"Balt. J. Mod. Comput.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132809157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-28DOI: 10.22364/BJMC.2020.8.3.05
A. Zacepins, A. Kviesis, V. Komašilovs, F. Muhammad
. Honeybees are the main pollinators for agricultural and horticultural plants. They help at least 30% of the worlds crops and 90% of the worlds wild plants to thrive via cross-pollination. To minimise the effect of on-site colony inspections application of Precision Beekeeping solutions are becoming increasingly frequent. Real time, remote monitoring of the colonies using ICT can help the beekeepers to detect abnormalities and identify states of the colony. For successful implementation of the Precision Beekeeping system development of the bee colony monitoring hardware solution and computer software for data collection and further analysis is needed. This paper describes authors developed bee colony monitoring system for the remote bee colony state detection. Bee colony weight together with temperature are the key metrics for state and behaviour analysis. Hardware of the developed monitoring system is based on the popular ESP8266 low-cost Wi-Fi microchip. Weight is measured using single point load cell with possibility to measure weight up to 200kg, which is enough for the bee colony measurements. Data transfer from the remote apiary is provided by the external 3G router. For data storage and analysis cloud-based data warehouse was developed. Collected data is accessible in the web system in real time. In addition, web tool for system power consumption and battery life evaluation was developed to assess monitoring system sustainability. Described monitoring system is developed within the Horizon 2020 project SAMS, which is funded by the European Union within the H2020-ICT-39-2016-2017
{"title":"Monitoring System for Remote Bee Colony State Detection","authors":"A. Zacepins, A. Kviesis, V. Komašilovs, F. Muhammad","doi":"10.22364/BJMC.2020.8.3.05","DOIUrl":"https://doi.org/10.22364/BJMC.2020.8.3.05","url":null,"abstract":". Honeybees are the main pollinators for agricultural and horticultural plants. They help at least 30% of the worlds crops and 90% of the worlds wild plants to thrive via cross-pollination. To minimise the effect of on-site colony inspections application of Precision Beekeeping solutions are becoming increasingly frequent. Real time, remote monitoring of the colonies using ICT can help the beekeepers to detect abnormalities and identify states of the colony. For successful implementation of the Precision Beekeeping system development of the bee colony monitoring hardware solution and computer software for data collection and further analysis is needed. This paper describes authors developed bee colony monitoring system for the remote bee colony state detection. Bee colony weight together with temperature are the key metrics for state and behaviour analysis. Hardware of the developed monitoring system is based on the popular ESP8266 low-cost Wi-Fi microchip. Weight is measured using single point load cell with possibility to measure weight up to 200kg, which is enough for the bee colony measurements. Data transfer from the remote apiary is provided by the external 3G router. For data storage and analysis cloud-based data warehouse was developed. Collected data is accessible in the web system in real time. In addition, web tool for system power consumption and battery life evaluation was developed to assess monitoring system sustainability. Described monitoring system is developed within the Horizon 2020 project SAMS, which is funded by the European Union within the H2020-ICT-39-2016-2017","PeriodicalId":431209,"journal":{"name":"Balt. J. Mod. Comput.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130094987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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