India’s Huawei Conundrum

2019 ◽  
Vol 75 (3) ◽  
pp. 380-394
Author(s):  
Uday Khanapurkar

Huawei, the Chinese telecom giant, has emerged as a key player in the provision of infrastructure required to support 5G wireless networks, the adoption of which will be foundational to recipient countries’ deployment of emerging technologies such as artificial intelligence and the Internet of things.   At the same time, however, security concerns with respect to Huawei’s ties to the Chinese army and state abound, prompting a number of countries to ban the company from supplying them said telecom infrastructure. India, however, is on the fence in this regard. This article assesses India’s Huawei conundrum through a conceptual framework of economic dependence wherein the costs of a ban and willingness to ban are examined in detail. It is argued that since the expected costs of banning Huawei equipment and the security risks of using them are both substantially high, India’s course of action must be to defer a quick decision and bargain for benefits and assurances.

2021 ◽  
Vol 25 (1) ◽  
pp. 34-38
Author(s):  
Jonathan Oostvogels ◽  
Fan Yang ◽  
Sam Michiels ◽  
Wouter Joosen ◽  
Danny Hughes

Latency-sensitive applications for the Internet of Things (IoT) often require performance guarantees that contemporary wireless networks fail to offer. Application scenarios involving real-time control of industrial machinery, robotics, or delay-sensitive actuation therefore typically still rely on cables: today's wireless networks cannot deliver messages in a sufficiently small and predictable amount of time. Drop-in wireless replacements for these cabled systems would nevertheless provide great benefit by eliminating the high cost and complexity associated with running cables in harsh industrial environments [1]. The symbolsynchronous bus, introduced in this article and embodied in a platform called Zero-Wire, is a novel wireless networking paradigm that addresses this gap. Using concurrent optical transmissions, it strives to bring low-latency deterministic networking to the wireless IoT.


Author(s):  
A.S. Travov ◽  

This article provides an overview of the decision to improve the field storage of sugar beet. The purpose of development is to preserve the crop. Methods of monitoring volumes of piles and microclimate inside them are considered. The method for obtaining data on volumes of piles and the further use thereof for optimizing the storage process is described.


2021 ◽  
Vol 19 (3) ◽  
pp. 163
Author(s):  
Dušan Bogićević

Edge data processing represents the new evolution of the Internet and Cloud computing. Its application to the Internet of Things (IoT) is a step towards faster processing of information from sensors for better performance. In automated systems, we have a large number of sensors, whose information needs to be processed in the shortest possible time and acted upon. The paper describes the possibility of applying Artificial Intelligence on Edge devices using the example of finding a parking space for a vehicle, and directing it based on the segment the vehicle belongs to. Algorithm of Machine Learning is used for vehicle classification, which is based on vehicle dimensions.


2021 ◽  
Vol 16 (2) ◽  
pp. 061-065
Author(s):  
SANTHOSH K

Hydroponics is one of the human significant food sources. This paper proposed the model of the system, Feasible Fish-Farming System (SFFS), which can make the water cultivating framework more practical, employing applying the Internet of things (IoT) to lessen the need for energy for controlling the climate. Little freshwater fish species (SFFs) (length <25 cm) are exceptionally plentiful in nutrient A, calcium, iron and so on and consequently can add to social wellbeing through a supplement to country networks. Under the pressing factor of broad current rural practices and aimless collecting, loads of SFFs are step by step declining, and their environments and favourable places are likewise being crumbled at a quicker rate. A superior protectionist approach could be the carp-SFFS combination which will decrease aimless mass catch fishing of SFFs and will guarantee the preservation of normal SFFs stocks in their territories giving financial advantage to partners. Various investigations have effectively showed an example of overcoming adversity of SFF polyculture through carp—SFFs joining. This creation cum preservation practice prompts manageability—a superior term in the fishery is 'social fishery'. The part that needs consideration is the taking care of nature of SFFs to comprehend inside and between species (with carps) food apportioning and living space inclination as better culture cum conservational approach. Exploration in hydroponics is a contribution to increment settled creation. In the last decade, different researchers have supported attempts that came about in advancing current creation advances that have altered homestead creation. Fish developing is having the chance to be a champion among the most remunerating ambitious activities on account of the low advancement, insignificant exertion course of action-adventure and the 3 to half-year gathering cycles. IoT advancements have altered homestead creation in the country. In this paper, we propose an idea to distinguish far off observing the fish cultivating framework by utilizing the different sensors to diminish the dangers. In this paper, we utilize different sensors like pH worth, temperature and level sensors. By utilizing these sensors, all the work is mechanized, and it will likewise be not challenging to screen the fish cultivating distantly from other areas. The SFFS coordinates the sun-based homestead and fish-ranch to lessen the additional energy input. Furthermore, the lighting of LEDs is utilized to help the photosynthesis in the evening. This way is more energy-proficient than the customary siphoning. Besides, this model shows the subjective accessibility of SFFS.


Author(s):  
Aboobucker Ilmudeen

Today, the terms big data, artificial intelligence, and internet of things (IoT) are many-fold as these are linked with various applications, technologies, eco-systems, and services in the business domain. The recent industrial and technological revolution have become popular ever before, and the cross-border e-commerce activities are emerging very rapidly. As a result, it supports to the growth of economic globalization that has strategic importance for the advancement of e-commerce activities across the globe. In the business industry, the wide range applications of technologies like big data, artificial intelligence, and internet of things in cross-border e-commerce have grown exponential. This chapter systematically reviews the role of big data, artificial intelligence, and IoT in cross-border e-commerce and proposes a conceptually-designed smart-integrated cross-border e-commerce platform.


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