Efficiency of JSON for Data Retrieval in Big Data

Yusof, Mohd Kamir

doi:10.11591/ijeecs.v7.i1.pp250-262

Cited by 10 publications

(8 citation statements)

References 5 publications

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“…With datasets of the pheromone lasting level gained, as well as dataset from project in [15], we hope to further our studies in mining between frequent [16] - [17] and infrequent [18] of Aedes dataset as to complement the whole Aedes Dengue Innovation project.…”

Section: Discussionmentioning

confidence: 99%

iMHS: An IOT Embedded for Aedes Mosquito Home System

Bakar¹,

Man²,

Talip³

et al. 2020

IJETT

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The proposed of Intelligent Mosquito Home System (iMHS) encompasses of a complete Internet of Things (IoT) based solution. This IoT solution shall leverage the complete ecosystem consisting of the devices (i.e. Sensors), the network connectivity, the cloud computing platform, the data analytics and a comprehensive web base system. The fundamental component of IoT embedded solution is the optimization of the device from the low-power wide-area network which is designed to enable battery-powered devices to operate with a long of read range. This research is to enable a suitable method to detect to status level of fluid (Attractors), or also called as Insecticide Growth Regulator (IGR) that is equipped together in the Mosquito Home System (MH). The IGR status is plotted in three (3) different status i.e. low, medium or high by using the appropriate sensors components. Here, the battery capacity is crucial to allow for a well-received and consistent communication between sensors and signal receivers. Data sent or received is processed and inserted into a database on a public server (Cloud Server). In this research, we deployed an Arduino water level sensor that is controlled by NodeMCU (ESP8266) module as the microcontroller that is powered by AA Battery pack. Prior to implementation, the result of the battery sustainability in iMHS shows that it could last for 10 days under setting with 15 interval time, assuming under normal working condition.

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Section: Discussionmentioning

confidence: 99%

iMHS: An IOT Embedded for Aedes Mosquito Home System

Bakar¹,

Man²,

Talip³

et al. 2020

IJETT

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“…This paper presents the perception of people towards Aedes mosquito and its control mechanism. With Aedes mosquitoes datasets gained, a specific mobile application is hoped to be developed as defined in [20] just to capture Aedes eggs from the tissue (installed in our AMHS) prior to automatic counting of Aedes eggs before mining between frequent [21] - [22] and infrequent of Aedes data [23] as to complement our Dengue Innovation project.…”

Section: Discussionmentioning

confidence: 99%

AMHS: Aedes Mosquito Home System with pyriproxyfen based formulation

Man¹

2020

IJETER

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Questionnaire studies were carried out against local residents of Taman Ria Jaya, Kedah, Malaysia after AedesTech Mosquito Home System was installed in the area for a period of one year. A total of 119 local residents were participated in this questionnaire study, while 117 of them voluntary to answer the questionnaire. The study found that all the participants were aware that Aedes mosquito is the dengue disease vector. As high as 86.21% of the resident feel AMHS is a good system and able to reduce the mosquito population, while 13.79% feel the mosquito population still remain the same, and 0.85% not sure about the effectiveness of the AMHS. There is 91.38 % of the residents agreed that the AMHS mosquito trap help in dengue control in this area. All of the residents agreed to allow authority or industry to install AMHS in their area if this program continues. Most of the residents agreed to use AMHS (Mosquito Trap) (89.66%), follow by Fogging (30.17%), breeding Site reduction (20.69%), and lastly larviciding (15.52%) as for the dengue disease control measures. There are 89.80% of the comments were positive and encouraging towards the AMHS, such as residents feel good and satisfied (15 comments or 30.61%), AMHS help to reduce mosquito population (22 comments or 44.90%), and AMHS is very effective (2 comments or 4.08%). However, we also found some negative comments against AMHS. It is up to 6.12% comments are negative against AMHS. The negative nevertheless were AMHS is the same, mosquito population do not reduce (3 comments or 6.12%), and other comments (4.08%), such as due to Pet, do not encourage fogging activity and can only accept water-based fogging.

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“…There is a growing number of publications that discuss JSON in the context of APIs [151] [43] [45] and technologies that emerged from the JSON ecosystem such as the JSON Schema specification [106] [85] [61] [55]. Apart from cloud computing, JSON is relevant in areas such as databases [31] [74] [8] [54] [105], big data [154], analytics [98] [82], mobile applications [127] [58], 3D modelling [81], IoT [146] [93], biomedical research [70], and configuration files, for example 54 . [7] presents a high-level overview of the JSON ecosystem including a survey of popular schema languages and implementations, schema extraction technologies and novel parsing tools.…”

Section: Relevance Of Jsonmentioning

confidence: 99%

A Survey of JSON-compatible Binary Serialization Specifications

Viotti¹,

Kinderkhedia²

2022

Preprint

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In this paper, we present the recent advances that highlight the characteristics of JSON-compatible binary serialization specifications. We motivate the discussion by covering the history and evolution of binary serialization specifications across the years starting from 1960s to 2000s and onwards. We analyze the use cases of the most popular serialization specifications across the industries. Drawing on the schema-driven (ASN.1, Apache Avro, Microsoft Bond, Cap'n Proto, FlatBuffers, Protocol Buffers, and Apache Thrift) and schema-less (BSON, CBOR, FlexBuffers, MessagePack, Smile, and UBJSON) JSON-compatible binary serialization specifications, we compare and contrast their inner workings through our analysis. We explore a set of non-standardized binary integer encoding techniques (ZigZag integer encoding and Little Endian Base 128 variable-length integer encoding) that are essential to understand the various JSON-compatible binary serialization specifications. We systematically discuss the history, the characteristics, and the serialization processes of the selection of schema-driven and schema-less binary serialization specifications and we identify the challenges associated with schema evolution in the context of binary serialization. Through reflective exercise, we explain our observations of the selection of JSON-compatible binary serialization specifications. This paper aims to guide the reader to make informed decisions on the choice between schema-driven or schema-less JSON-compatible binary serialization specifications.

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Efficiency of JSON for Data Retrieval in Big Data

Cited by 10 publications

References 5 publications

iMHS: An IOT Embedded for Aedes Mosquito Home System

iMHS: An IOT Embedded for Aedes Mosquito Home System

AMHS: Aedes Mosquito Home System with pyriproxyfen based formulation

A Survey of JSON-compatible Binary Serialization Specifications

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