GeosensorBase: Integrating and Managing Huge Number of Heterogeneous Sensors Using Sensor Adaptors and Extended SQL Querying

2014 ◽  
pp. 100-114 ◽  
Author(s):  
Min Soo Kim ◽  
Chung Ho Lee ◽  
In Sung Jang ◽  
Ki-Joune Li
Keyword(s):  
Huge Number ◽  
Heterogeneous Sensors

Taufiqul Hakim “Amtsilati” dan Pengajaran Nahwu-sharaf

1970 ◽  
Vol 11 (3) ◽  
pp. 389-407
Author(s):  
M Misbah
Keyword(s):  
Reading Skill ◽  
Huge Number ◽  
Time Efficiency ◽  
Study Materials ◽  
Long Time

One of skill becoming goals in study Arabic Ianguage reading skill. Someone wish to reach it must mastering various interconnected knowledge, among others Nahwu –Sharaf. This knowledge becomes burden to one whom studying it especially for beginner. This because the huge number of items exist in Nahwu-Sharaf, so that need very long time to mastering it. This Items effectiveness and time efficiency represent the problem in Nahwu-Sharaf learning. These matters become Taufiqul Hakim’s study materials and concern. Finally he found one new format of efficient and effective method and items in learning Nahwu-Sharaf. The Items compiled in his books entitled “Buku Amtsilati” and his method knows as Amtsilati Method. The application of Amtsilati Method in Nahwu – Sharaf learning emphasize the student activeness, with rather few theory but much practice and also delivering items start from easy then gradually reaching difficult ones.

OVERSUPPLY OF THE HIGH-COST HOUSING IN MALAYSIA

2020 ◽  
Vol 7 (2) ◽  
pp. 91
Author(s):  
Fazilah Ramli ◽  
Rozlin Zainal ◽  
Maimunah Ali
Keyword(s):  
Housing Market ◽  
Housing Development ◽  
Development Projects ◽  
Housing Supply ◽  
Huge Number ◽  
Housing Type ◽  
Housing Units

High overhang of housing rates together with the price of houses offered continues to rise lead to Malaysian housing market become very unaffordable. Therefore, it is important to investigate the reason behind the developer’s action in continuing to develop the high-cost housing despite the huge number of unsold housing units in the market in Malaysia. Respondents involved in this study were housing developers from Johor, Selangor and Perak who are currently or previously involved in the high-cost housing development projects that priced above RM300,000. The paper is expected that the developers able to meet the actual housing supply for high-cost housing type.

Virtualized Fog Network with Load Balancing for IoT based Fog-to-Cloud

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Istabraq M. Al-Joboury ◽  
Emad H. Al-Hemiary
Keyword(s):  
Load Balancing ◽  
Packet Loss ◽  
Fog Computing ◽  
Transport Protocol ◽  
Network Simulator ◽  
Huge Number ◽  
Message Queue ◽  
Limited Bandwidth ◽  
Cloud Architecture ◽  
Fog Network

Fog Computing is a new concept made by Cisco to provide same functionalities of Cloud Computing but near to Things to enhance performance such as reduce delay and response time. Packet loss may occur on single Fog server over a huge number of messages from Things because of several factors like limited bandwidth and capacity of queues in server. In this paper, Internet of Things based Fog-to-Cloud architecture is proposed to solve the problem of packet loss on Fog server using Load Balancing and virtualization. The architecture consists of 5 layers, namely: Things, gateway, Fog, Cloud, and application. Fog layer is virtualized to specified number of Fog servers using Graphical Network Simulator-3 and VirtualBox on local physical server. Server Load Balancing router is configured to distribute the huge traffic in Weighted Round Robin technique using Message Queue Telemetry Transport protocol. Then, maximum message from Fog layer are selected and sent to Cloud layer and the rest of messages are deleted within 1 hour using our proposed Data-in-Motion technique for storage, processing, and monitoring of messages. Thus, improving the performance of the Fog layer for storage and processing of messages, as well as reducing the packet loss to half and increasing throughput to 4 times than using single Fog server.

Classification of Cloud Systems Cyber-security Threats and Solutions Directives

2017 ◽  
Vol 2 (3) ◽  
pp. 1
Author(s):  
Hanane Bennasar ◽  
Mohammad Essaaidi ◽  
Ahmed Bendahmane ◽  
Jalel Benothmane
Keyword(s):  
Cloud Computing ◽  
Cyber Security ◽  
Data Security ◽  
Denial Of Service ◽  
Security Threats ◽  
Huge Number ◽  
Open Problems ◽  
Long Period ◽  
Near Future

Cloud computing cyber security is a subject that has been in top flight for a long period and even in near future. However, cloud computing permit to stock up a huge number of data in the cloud stockage, and allow the user to pay per utilization from anywhere via any terminal equipment. Among the major issues related to Cloud Computing security, we can mention data security, denial of service attacks, confidentiality, availability, and data integrity. This paper is dedicated to a taxonomic classification study of cloud computing cyber-security. With the main objective to identify the main challenges and issues in this field, the different approaches and solutions proposed to address them and the open problems that need to be addressed.

scholarly journals Failure Analysis of Premature Corrosion of HF Seam-Welded Steel Pipe in Central Heating System

2021 ◽  
Author(s):  
Dorota Tyrala ◽  
Bogdan Pawlowski
Keyword(s):  
High Frequency ◽  
Energy Dispersive Spectrometry ◽  
Weld Line ◽  
Welding Process ◽  
Heating System ◽  
Bond Line ◽  
Steel Pipe ◽  
Huge Number ◽  
Welded Steel ◽  
Central Heating

AbstractPremature corrosion in the form of longitudinal cracking in a high-frequency (HF) induction seam-welded steel pipe occurred after just 24 months in service. The failed pipe was investigated to reveal the main cause of its failure, and the results of microstructural examinations (light optical microscopy, scanning electron microscopy with energy-dispersive spectrometry) suggest that the failure resulted from an HF induction welding process defect—a so-called cast weld, that is, a huge number of iron oxides in the weld line caused by insufficient ejection of the molten metal from the bond line.

scholarly journals Current Understanding of Novel Coronavirus: Molecular Pathogenesis, Diagnosis, and Treatment Approaches

Immuno ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 30-66
Author(s):  
Niraj Kumar Jha ◽  
Madhan Jeyaraman ◽  
Mahesh Rachamalla ◽  
Shreesh Ojha ◽  
Kamal Dua ◽  
...  
Keyword(s):  
Paradigm Shift ◽  
Functional Outcomes ◽  
Cellular Therapy ◽  
Treatment Modalities ◽  
Unknown Etiology ◽  
Huge Number ◽  
The World ◽  
To Come ◽  
Novel Coronavirus ◽  
Nano Medicine

An outbreak of “Pneumonia of Unknown Etiology” occurred in Wuhan, China, in late December 2019. Later, the agent factor was identified and coined as SARS-CoV-2, and the disease was named coronavirus disease 2019 (COVID-19). In a shorter period, this newly emergent infection brought the world to a standstill. On 11 March 2020, the WHO declared COVID-19 as a pandemic. Researchers across the globe have joined their hands to investigate SARS-CoV-2 in terms of pathogenicity, transmissibility, and deduce therapeutics to subjugate this infection. The researchers and scholars practicing different arts of medicine are on an extensive quest to come up with safer ways to curb the pathological implications of this viral infection. A huge number of clinical trials are underway from the branch of allopathy and naturopathy. Besides, a paradigm shift on cellular therapy and nano-medicine protocols has to be optimized for better clinical and functional outcomes of COVID-19-affected individuals. This article unveils a comprehensive review of the pathogenesis mode of spread, and various treatment modalities to combat COVID-19 disease.

scholarly journals DOLARS, a Distributed On-Line Activity Recognition System by Means of Heterogeneous Sensors in Real-Life Deployments—A Case Study in the Smart Lab of The University of Almería

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 405
Author(s):  
Marcos Lupión ◽  
Javier Medina-Quero ◽  
Juan F. Sanjuan ◽  
Pilar M. Ortigosa
Keyword(s):  
Real Time ◽  
Activity Recognition ◽  
Real Life ◽  
Recognition System ◽  
Machine Learning Algorithms ◽  
Sensor Data ◽  
Heterogeneous Sensors ◽  
On Line ◽  
The University

Activity Recognition (AR) is an active research topic focused on detecting human actions and behaviours in smart environments. In this work, we present the on-line activity recognition platform DOLARS (Distributed On-line Activity Recognition System) where data from heterogeneous sensors are evaluated in real time, including binary, wearable and location sensors. Different descriptors and metrics from the heterogeneous sensor data are integrated in a common feature vector whose extraction is developed by a sliding window approach under real-time conditions. DOLARS provides a distributed architecture where: (i) stages for processing data in AR are deployed in distributed nodes, (ii) temporal cache modules compute metrics which aggregate sensor data for computing feature vectors in an efficient way; (iii) publish-subscribe models are integrated both to spread data from sensors and orchestrate the nodes (communication and replication) for computing AR and (iv) machine learning algorithms are used to classify and recognize the activities. A successful case study of daily activities recognition developed in the Smart Lab of The University of Almería (UAL) is presented in this paper. Results present an encouraging performance in recognition of sequences of activities and show the need for distributed architectures to achieve real time recognition.

Keys to the Trematoda. Volume II (ed. Jones, A., Bray, R. A. and Gibson, D. I.), pp. 768. Commonwealth Agricultural Bureau International (CABI Publishing), UK and The Natural History Museum, London, UK, 2005. ISBN 0 85199 587 X. £150.00.

Parasitology ◽  
2006 ◽  
Vol 132 (1) ◽  
pp. 153-154
Author(s):  
TOMÁš SCHOLZ
Keyword(s):  
Natural History ◽  
Wide Spectrum ◽  
Animal Health ◽  
Life Cycles ◽  
Huge Number ◽  
History Museum ◽  
Cabi Publishing ◽  
Vertebrate Hosts ◽  
Commonwealth Agricultural Bureau

Trematodes (flukes or digeneans) are by far the most abundant group of parasitic flatworms (Neodermata), and their importance for human and animal health is indisputable. In addition, they exhibit a variety of unique adaptations to parasitism and, probably most remarkably, possess extraordinarily complicated life-cycles. Classification of trematodes represents a very difficult task due to the huge number of existing species and variety of morphological forms, sites of infection within invertebrate and vertebrate hosts and ability to infect a wide spectrum of animals. Therefore, identification of any trematode may represent a problem even for an experienced specialist. This is the reason why I appreciated so much the publication of the first volume of the Keys to the Trematoda in 2002.

Sign in / Sign up

Export Citation Format

Share Document