Saturday, 27 September 2014

Automatic Temperature Controlled Fan ..Read more http://electronicsproject.org/automatic-temperature-controlled-fan/

Automatic Temperature Controlled Fan

Power supply Circuit:- The primary AC voltage is step down to 12 – 0 – 12 by using transformer X1 which further rectified using bridge rectifier (D1 through D4). The rectified output is filtered using capacitor and given to input pin 1 of voltage regulator IC 7812 (IC1). The regulated output is taken from pin 3 of IC1where pin 2 is grounded.

PARTS LIST

Resistors (all ¼-watt, ± 5% Carbon)

R1 = 100 KΩ
R2 = 56 KΩ
R3 = 39 KΩ
R4, R5, R6 = 1 KΩ
VR1, VR2 = 

Capacitors

C1 = 1000 µF/40V
C2, C3 = 1000 µF/25V
C4 = 0.1 µF

Semiconductors

IC1 = LM7812 (12V regulator IC)
IC2 = LM324 (operational amplifier)
T1, T2 = SL100
D1 – D6 = 1N4001 (rectifier diode)
Miscellaneous
TT1 = AD590 (temperature transducer)
RL1, RL2 = 12V 200Ω

Circuit Description of infrared (IR) remote controller ..Read more http://electronicsproject.org/infrared-remote-controller/

Transmitter section: – The transmitter circuit of infrared (IR) remote controller is built around IC 741 (IC1) wired as frequency square wave oscillator. Gate pulse from pin no 6 of IC1 is given to gate of SCR1 to drive IR LED1. Variable resistor VR1 is used to vary the generated frequencies.
Receiver Section: – The receiver circuit of infrared (IR) remote controller consist an IC 741, photo transistor (T1) and medium power transistor (T2).
Photo transistor receives the transmitted signal and given to pin 2 of ICfor amplification. The amplified output from pin 6 of IC2 is given to base of relay driver transistor (T2) through non-polarized capacitor C5, diode D1 and resistor R8. Variable resistor VR1 is used to match the transmitting and receiving 
Resistors (all ¼-watt, ± 5% Carbon)
R1,R2 = 100 KΩ
R3, R5, R8 = 1 KΩ
R4 = 15 Ω
R6 = 22 KΩ
R7 = 10 MΩ
VR1 = 1 MΩ
VR2 = 2.2 MΩ


..Read more http://electronicsproject.org/infrared-remote-controller/

                                                                  Capacitor
4 = 0.1 µF
C2 = 1 µF/100V
C5 = 2.2 µF/16V

Semiconductors

IC1, IC2 = 741
SCR1 = SN050
T1 = photo transistor
T2 = SL100
D1, D2 = 1N4001

Miscellaneous

RL1 = 15V, 500Ω Relay
IR LED


..Read more http://electronicsproject.org/infrared-remote-controller/

Circuit description of battery voltage monitor ..Read more http://electronicsproject.org/battery-voltage-monitor/

The circuit of battery voltage monitor is fabricated and designed around op-amp IC LM709 configured as comparator. Where bi-color LED is used as indicator and indicates three voltage level state of a 12V battery. Resistor R1 with potentiometer VR1 is used as potential driver of voltage monitor circuit.
When voltage level rise above 13.5 volts, the output from IC1 goes low as a result LED begins to emit RED light. Similarly, when the voltage fall below a preset level (10Volts) the output goes high and the LED start to emit GREEN light. Resistors R3 and R4 is used as current limiter of LED.


..Read more http://electronicsproject.org/battery-voltage-monitor/

Resistors (all ¼-watt, ± 5% Carbon)


2 = 18 KΩ
R3, R4 = 680 Ω
VR1 = 10 KΩ (Potentiometer)

Semiconductors

IC1 = LM709
D1 = 1N4003

Miscellaneous

B1 = 12V Battery
LED = Bi-color LED


Wednesday, 24 September 2014

Why do multicore systems make it harder to find and diagnose bugs?


Since many projects will include Java and C or C++, teams will find it easier and more productive to work with tools in an integrated development environment. There are tool suites that can be used for both embedded and hosted platforms. Commercial versions offer automated work flow and powerful tools for program analysis, program inspection, program understanding, and architecture visualisation. Using an integrated development environment with targeted advanced static analysis tools (see fig 3) enables developers to discover the underlying design intentions of existing concurrent code, and recognise when new code deviates from this design. It provides early warning when new concurrency defects are first introduced and uses cutting edge technologies to help developers identify and understand them. 

Developing embedded applications for multicore platforms requires a new approach. Static analysis offers the only feasible means to explore all possible code paths for software errors in highly concurrent systems. When used in conjunction with other code quality practices such as code reviews and integration testing, advanced static analysis tools can significantly reduce the risk of field failures due to undiscovered concurrency bugs. 
- See more at: http://www.newelectronics.co.uk/electronics-technology/why-do-multicore-systems-make-it-harder-to-find-and-diagnose-bugs/64806/#sthash.KhIPnZAA.dpuf

Why do multicore systems make it harder to find and diagnose bugs?

Concurrency takes on a new dimension in multicore platforms, since true parallelism comes into play and communication between threads is often achieved using shared memory. Writing a correct concurrent program is notoriously difficult and the advent of multicore architectures makes it significantly harder again due to their added complexity.
Concurrency bugs – which include race conditions, deadlocks, livelocks and resource starvation – are difficult to find when they manifest and even more difficult to diagnose. They require a new approach to verification that specifically addresses concurrency errors. The most effective way to reduce the risk of these bugs is to take a multifaceted approach that includes peer code reviews, testing and – most of all –advanced static analysis that incorporates sophisticated models for concurrency (see fig 1). 
- See more at: http://www.newelectronics.co.uk/electronics-technology/why-do-multicore-systems-make-it-harder-to-find-and-diagnose-bugs/64806/#sthash.KhIPnZAA.dpuf
Programming language support 
Since most embedded developers are relatively new to multicore programming, the risk of introducing concurrency bugs is significant. Today, C and C++ are still the most popular programming languages for embedded systems. However, one of their fundamental weaknesses is that they were not designed for concurrency. The most recent versions, C11 and C++11 introduced standardised support for multithreading. 

Three features were added to address concurrency: a memory model that defines the behaviour of multithreaded programs; atomic data types that can be accessed safely by concurrent threads; and several synchronisation primitives, such as locks and condition variables. Notwithstanding these improvements, the languages retain many of the core features of their ancestors that make writing multithreaded programs very hazardous. 

At the same time, Java is increasingly popular with embedded developers. With 28% using it today, it is now the third most popular language for embedded systems. In contrast to C and C++, Java has always had built in support for multithreading within the programming language syntax, source compilers, and standard libraries. Additionally, Java 5 added the java.util.concurrent library, extended in Java 6 and Java 7 to provide extensive support for concurrent and parallel programming. 

Many embedded designs use a combination of C or C++ and Java. For example, Java is very popular for automotive applications because it offers an easy way to program a user interface for a touch screen display or an entertainment system. Such applications may have many layers with safety critical code written in C, communicating with non safety critical Java code running on a user interface. 

Static analysis tools 
Perhaps the biggest challenge with concurrent programs for multicore platforms is that no amount of testing can guarantee to find all concurrency bugs. It is the relative order in which instructions are executed in real time that is the main source of defects in multithreaded programs. As multiple threads run, the relative order in which their instructions are executed varies, depending on what other threads are active at the same time. If bugs are introduced through programming errors, non deterministic interleaving can lead to unpredictable results. 

The number of possible interleavings increases enormously as the number of instructions grows: a phenomenon known as combinatorial explosion. Even the smallest threads have many possible interleavings. Real world concurrent programs have astronomical numbers of legal interleavings, so testing every interleaving is infeasible. Likewise, it is impossible to explore every potential execution path using peer code reviews or walkthroughs. 

This is where advanced static analysis tools excel. They use symbolic execution engines to identify potential problems in a program without actually having to run the program. Working much like compilers, they take source code as input, parse it and convert it to an Intermediate Representation (IR). Whereas a compiler would use the IR to generate object code, static analysis tools retain the IR, also called the model. 

Checkers perform analysis on the code to find common defects and violation of policies, for example, by traversing or querying the model, looking for particular properties or patterns that indicate defects. Sophisticated symbolic execution techniques explore paths through a control-flow graph – a data structure representing the order in which statements are executed during a program's execution. Algorithms keep track of the abstract state of the program and know how to use that state to exclude consideration of infeasible paths. 

The depth of the model determines the effectiveness of the tool. That depth is based on how much knowledge of program behaviour is built in, how much of the program it can take into account at once and how accurately it reflects actual program behaviour. 

Many developers take advantage of popular open source tools to find bugs in Java, including FindBugs, PMD and CheckStyle. FindBugs uses static analysis to identify hundreds of different types of potential errors in Java programs. It operates on Java bytecode, the form of instructions that the Java virtual machine executes. PMD and CheckStyle check source code for adherence to coding standards and detect bad practices. Each tool has its strengths. An important advantage of static analysis tools, in general, is they can be used early in development to find bugs, even before testing begins. Most of the static analysis tools available for Java are general purpose and catch a range of surface level problems. 

In comparison to the open source tools mentioned, there are commercial products tailored for very precise identification of concurrency problems in Java, C or C++. These tools incorporate very deep models that enable them to find concurrency problems that are often missed by other tools. 

Some of the most effective of these advanced static analysis tools are based on cutting edge academic research into software concurrency behaviour. They offer advanced static analysis of C and C++ source code with whole program interprocedural analysis and can typically handle programs with up to 10million lines of code. In addition to finding race conditions and deadlocks (see fig 2), one of the commercial tools for Java identifies unpredictable results caused by incorrect use of the concurrent collection libraries provided by java.util.concurrent. It detects bad error handling or incorrect synchronisation when coordinating access to shared non concurrent collections. Also, it can help diagnose performance bottlenecks caused by incorrect API usage, redundant synchronisation, and unnecessary use of a shared mutable state. 



Smart traffic systems help ease congestion

It is unlikely to be of much comfort when you're next in a traffic jam to know there is a plethora of traffic monitoring and management technologies out there trying to detect the build up of traffic and help you on your way.
Not that the whole area of Intelligent Transport Systems (ITS) is at a crossroads. For a long time, inductive loops buried in tarmac were the only source of help, transmitting vehicle data to a public authority – and it is still used in many many places. A simple twisted coil of wire under the road detects whether large metal objects pass over the surface. Two inductive loops close together can help ascertain the speed of the vehicles.

More recently, public authorities have begun to recognise the virtues – and the drawbacks – of smarter, non intrusive technologies. For example, automatic number plate recognition (ANPR) systems are using ever more sophisticated control systems and more sensitive imaging technologies, radar based systems suggest it is sometimes better without sight, and applications using wireless communications technologies, notably Bluetooth and Wi-Fi, are being developed.

Savvy private sector operators and car manufacturers have also seen the opportunity. They are either buying or receiving from private users and fleet management operators live data from GPS enabled devices, mobile phone networks and roadside sensors, crunching the aggregated data and selling the results to end users (see box).

One technology that is currently gaining traction for measuring travel times along a predefined route is based on wireless – notably Bluetooth, often in combination with Wi-Fi.

The method is relatively simple. "We are seeing many more people using Bluetooth enabled devices, such as phones and headsets, and almost all vehicles now include a hands free kit," Lars Christensen, chief technology officer of Danish company Blip Systems told New Electronics. "Importantly, these (latter) are permanently in discovery mode."

These, and many GPS devices, have a Bluetooth Media Access Control (MAC) address that, when enabled, can be detected by the type of sensors developed by Blip Systems and others. The addresses are detected, then matched between sites to provide origin and destination data, as well as journey time.

"The decision whether to opt for a wireless based solution or the more traditional, but still very effective, ANPR technique can be a tough one for public authorities. Both have their pluses and minuses," commented Nick Hewitson, managing director of Smart CCTV, a systems integrator specialising in installing both types of traffic monitoring system.

An important consideration for any authority is whether the installation is to be used simply for monitoring traffic flows and easing congestion or for enforcement purposes. A Bluetooth based solution cannot be used for the latter, so the authorities would choose an ANPR system and spread the costs across different functions.

Smart CCTV recently installed a much needed monitoring and management system in traffic-tormented Portsmouth, one of the worst cities in England for congestion. It specified a system from Blip, deploying BlipTrack sensors on the 12 most congested cross city routes.

Blip Systems, a management buy out in 2003 from Ericsson's Danish Bluetooth development group, focused initially on developing sensors and hubs for mobile marketing solutions, touchscreen kiosks and information booths. But it shifted its efforts to focus on the opportunities of vehicle tracking. Christensen added, somewhat ruefully, that the group was almost a decade ahead of its time and suggested Apple, with its marketing clout and recently revealed iBeacon technology, will dominate that space in the near term. Blip, after all, stands for Bluetooth Local Information Point.

Christensen conceded that not all vehicles will have devices that emit a Bluetooth or Wi-Fi signal and that some may not have Bluetooth enabled. "But the detection rate – typically 25% – is still sufficient to give meaningful data travel time and, with a combined Bluetooth-Wi-Fi sensor, we are seeing this increased to about 40%."

What is clear in Christensen's mind is that 'cameras are significantly more expensive than our sensors, both to make and install'. "An ANPR system will also need a camera over each lane, thus multiple cameras over each site, and a set up that is significantly more costly to maintain. It can also be affected by snow, fog and the build up of dirt on the cameras.

"And there are absolutely no privacy issues. The time-travel data we collect is completely anonymous at all times."

The MAC address identifier within the Bluetooth protocol serves as an encrypted one-way hash code and contains no personal information, so the data leaving the sensor is untraceable to the individual device.

Only the hash codes are transmitted to the server – 'and the encryption keys are changed every day', according to Christensen.

The BlipTrack sensor generally runs off a 5W supply – a battery, solar panel or combination of the two. It also incorporates a GPS receiver, allowing a time and position stamp to be incorporated in the hash code. The data collected is transmitted via cellular networks or Ethernet links to a data centre where aggregated journey time data is analysed.

Its proponents point out that wireless sensors and antennae provide a larger detection zone compared with ANPR cameras. This increases the probability of detecting a Bluetooth enabled device in a fast moving vehicle. The downside is the probability of multiple detections of a single device increases. This could result in location ambiguity and reduced accuracy of travel time estimates.

Christensen was asked how a Bluetooth based monitoring system could distinguish between a vehicle passing a sensor along a route and a pedestrian, cyclist or a bus carrying passengers, or even a car changing direction. He said, without going into detail, that Blip's technology incorporates a special filter engine that ensures only data from vehicles is captured, not any 'outliers'. In addition, to prevent the recorded travel times from these devices distorting the actual travel time calculation, Blip's software uses a moving average based algorithm capable of excluding readings far outside the medium to reveal the actual average speed of traffic.

Christensen notes that several trials, and tens of installed systems in Europe, the US and Asia, have proven the accuracy and efficiency of the approach. "It is becoming a really competitive area, not just between wireless based and ANPR type systems, but also between others supplying Bluetooth based solutions."

These include Spanish company Libelium; UK group TDC Systems (recently acquired by Q-Free of Norway, with its HI-TRAC BLUE); Australian start up IntelliDesign; US company TrafficCast, with its BlueTOAD (Bluetooth Travel-time Origination and Destination) detectors; and a system developed in the US by Texas A&M Transportation Institute, or TTI, dubbed AWAM (for Anonymous Wireless Address Matching). This latter system is about to be commercialised following successful implementations in Texas. TTI said it anticipates widespread use of its technology on the back of new regulations in the US that require highway agencies to monitor the performance of their road networks.

Neil Hoose, founder of intelligent transport consultancy Bittern and visiting Professor at Imperial College London's Centre for Transport Studies (which has an active group researching Bluetooth type systems for travel time estimation and management) concurs that wireless based approaches can be significantly lower cost to plan, install and maintain. "Perhaps by a factor of five over ANPR," he said. "They can also give local authorities a fast fix for problems." But he cautions that Bluetooth is a fast moving technology. "What would happen if the world suddenly took against it and everyone deactivated the technology on their devices? It would render such networks ineffective." He suggests there will always be a need for the less fashionable, and certainly more unpopular (with drivers ANPR installations.

Proponents of ANPR, meanwhile, stress the significantly higher hit rate for the camera based option. "Typically, the rate for an ANPR set up is 95% while, with Bluetooth, you could be looking at less than 10%," said Peter Billington, head of Telematics Technology and chair of the ANPR working group within the UK's Urban Traffic Management Control operation. "But in a high volume scenario, that is still a good enough sample. For the Highways Agency, resilience is important, but if you are talking simply journey time information, lower hit rates are acceptable."

Billington stresses that ANPR camera capability is improving dramatically, in line with advances in image sensors, so a greater width of road can be covered with fewer cameras.

Telematics Tech works closely with CA Traffic – according to Billington, the fastest growing provider of ANPR systems in the UK. "Its latest cameras, the Evo-X, for instance, are more versatile, with a video and CCTV capabilities, the most advanced communications options (including 4G) and, importantly, the most powerful IR illuminator available." He adds the processing power of the latest camera – using a bank of DSPs, an ARM8 core, an Intel Atom processor and FPGAs from Altera – 'is as about sophisticated as you can get'.

Private enterprise spots the opportunities
The solutions to journey time and traffic management mentioned in the main article rely on fiscally challenged local or national governments investing in the systems. Not surprisingly, private corporations have spotted the opportunity and are offering solutions.

Some of the leaders include INRIX, Waze (now part of Google) and Cellint. Each has a slightly different business model, but all basically capture dynamically updated traffic information from vehicle users, third parties, logistics companies via GPS devices and mobile phone network providers (referred to in the sector as 'probe data' or 'crowd sourced data'). This is processed in real time and combined with a database of variables, such as weather conditions and known construction schedules, which can then be used by drivers to negotiate traffic problems.

All are keen to stress their services do not encroach on privacy and that the information should be considered as complementary. Their services are also unlikely, at least in the near future, to replace fixed infrastructure for traffic management. Indeed, INRIX stresses it works closely with the UK Highways Agency, while recently acquired ITIS is the primary provider of live traffic information to UK broadcasters, such as the BBC and most commercial radio stations.

"Perhaps the major difference between the approaches is that probe data is far more granular (fast and accurate) in the way it can detect traffic and the speed at which it can warn of problems ahead," Danny Woolard, INRIX' vp for business development in EMEA, told New Electronics.

"Looking back about ten years, public authorities were sceptical about the value of data obtained from GPS devices – and probe data in general. Today, most recognise that it comes down to far more granularity, accuracy and speed at which incidents can be detected and corrected."

Data from the 41 countries in which INRIX is active is impressive: for example, 150 million drivers reached on an average day; 2billion GPS data ports processed daily; 6m km of roads accessed; and millions of roadside sensors monitored each hour.

Having all this data is one thing: crunching it and combining it with historical data to come up with advice that can be easily accessed by real time sat nav systems or by INRIX' smartphone app is where INRIX scores, says Woolard. "We have licensing deals with more automotive manufacturers – including BMW, Ford, Toyota and Audi than any other player in this field – as well as licensing deals with Garmin. And we don't just focus on the consumer market."

That last comment speaks to the fact that Waze relies predominantly on input from users of the Waze application and on a limited set of roads. For all that, there are millions of users of Waze, which is linked in to Google Maps and said to be very easy to use.

Tuesday, 23 September 2014

Welcome to the Pakistan Bodybuilding Federation


The Pakistan Bodybuilding Federation (PBBF) is responsible for the promotion and growth of the game of bodybuilding  in Pakistan under the patronage of its affiliated member organizations. PBBF is the member organization of World Bodybuilding Federation (WBF) and the Asian Bodybuilding Federation (ABF).
In 1952, the first bodybuilding competition under title “Mr. Lahore” was held. Later this competition was named as “Mr. Punjab”. In the same year, annual contest of “Mr. Pakistan” was introduced in Lahore. The second annual contest for Mr. Pakistan was held in December 1953 with participation of the bodybuilders from Lahore, Rawalpindi, Sialkot, Quetta, Karachi and Dacca. In the event, Miss Joan Hunt and Miss Britain 1952 performed their duties as a judge for the selection of “Mr. Pakistan Title”. Accordingly, third and fourth annual contests for Mr. Pakistan were also held in Lahore. Bodybuilders from all over the Pakistan competed in these events.
In 1956, in addition to the admired title of Mr. Pakistan, the PABA introduced a new event, “Junior Mr. Pakistan” aimed at encouraging youngsters. Since then, the contests for the selection of Mr. and Junior Mr. Pakistan are being organized by PABA annually.

Presently, Mr. Naveed Akram Cheema and Sheikh Farooq Iqbal are overseeing the affairs of the PBBF as President and Secretary General respectively.
Achievements
  • Asian Bodybuilding Championship, 16-21 July 2008, Hong Kong. Two Bodybuilders obtained 4th and 8th positions.
  • 62nd IFBB World Amateur Bodybuilding Championships, 2-7 November 2008, Bahrain. Pakistani bodybuilders achieved 15th position.
  • Asian Bodybuilding Championship, 11-17 August 2009, Pattaya, Thailand. Two Pakistani bodybuilders participated and both obtained 8th position in their respective weight category (75 kg & 80 kg).

Welcome to the Pakistan Federation Baseball


Pakistan Federation Baseball (PFB) is the national governing body of sport of Baseball in the Country. The Federation is affiliated with the International Baseball Federation (IBAF) and Baseball Federation of Asia (BFA).

Baseball was formally introduced in Pakistan in 1992. The First elections of PFB were also held in the same year,  and the National Baseball Championship was also organized; Wapda, Railway, Islamabad, Balochistan, NWFP, Sindh, Punjab Blue and Punjab White participated. Later, Pakistan Army and Pakistan Police also became members of the PFB.
In 1999, Mr. Shuakat Javed and Mr. Khawar Shah were elected as President and Secretary General of the Federation.


Welcome to the Pakistan Table Tennis Federation

The Pakistan Table Tennis Federation (PTTF) is the national governing body to develop and promote the sport of Table Tennis in the Country. In 1951, Pakistan Table Tennis Federation was formed in Lahore. In the same year, PTTF started its activities for the promotion of Table Tennis in the Country. The first National Table Tennis Championship was held in the Burt Institute, Lahore. The PTTF is the member organization of the


Achievements:
  • Won five Bronze medals in 10th South Asian Games held in Colombo, Sri Lanka 2006.
  • Three badminton players participated in the 13th Asian Table Tennis Championships held from 25th to 30th July 2007 in Korea.
  • PTTF won one Bronze medal (boys under 15) in Indian Junior Open ITTF WJC Tournament held from 11th to 15th September 2007 in Gua, India.
  • Won one Bronze medal (team event) in The Fajr International Cadet and Junior Table Tennis Championship held from 17th to 20th December 2007.
  • PTTF has hosted the 2008 South Asian Junior Table Tennis Championship in July at Karachi.
  • Pakistan table tennis female team won one Bronze medal (team event) in 11th South Asian Games held in Dhaka, Bangladesh 2010.

Sunday, 21 September 2014

Javier Hernandez's Brace Proof Chicharito Is Vital Bench Piece for Real Madrid

The French striker hasn't gotten off to a strong start in 2014-15, but Hernandez? Well, it looks like he's settling right in.
We saw the Mexican national team reap success in the World Cup with Chicharito largely coming off the bench, and he made an impact in almost every appearance. He failed to show that same ability with the Red Devils, but a change of scenery has made all the 

Javier Hernandez's Brace Proof Chicharito Is Vital Bench Piece for Real Madrid

As if that stunning strike wasn't enough to wow Los Blancos fans, he offered
up another long-range missile in stoppage time that deflected off a defender and had too much pace for the Deportivo goalkeeper to keep up with.
That made both of Chicharito's first two goals outside-the-box shots, which he didn't score one of with Manchester United as Squawka Football illustrated:

Javier Hernandez's Brace Proof Chicharito Is Vital Bench Piece for Real Madrid

A promising-turned-tumultuous early career for Javier "Chicharito" Hernandez is quickly turning around in his first few weeks with Real Madrid.
He made his third career cap for the Spanish giants on Saturday against Deportivo, and it was one to remember. After being substituted on, his only two shots were outside-the-box goals to notch a brace and help power Madrid late to a 8-2 drubbing of the newly promoted side.
Manchester United sent Hernandez to Madrid on a loan deal that has the potential to become a full purchase after Louis van Gaal cleaned house with a number of large-scale signings. He was expendable there after an up-and-down couple of seasons, but one club's trash is another's treasure.
And on Sunday, well, Chicharito simply looked like the player many expected to see more often after his breakout 2010-11 campaign. Fox Soccer captured his magnificent first goal:

Business Alibaba Internet giant Alibaba valued at $231bn after frenzied debut as public company

the Chinese internet giant, made a frenzied debut on the New York Stock Exchange on Friday ending its first day as a public company valued at over $231bn, more than Facebook or Amazon and eBay combined.
The biggest ever share sale in the US got off to a flying – if delayed – start on Friday as investors snapped up stock. Shares initially priced at $68 reached a high of $100 at one point before settling back to $93.89 by th
e end of the day, up 38%.
Founded by Jack Ma, a former English teacher who started the site from his one-bedroom apartment in Hangzhou in 1998, Alibaba now controls 80% of online commerce in China.
Ma cemented his position as China’s richest man with the sale. The value of his Alibaba shares is now close to $19bn.