Tension in Gorakhpur

first_imgTension prevailed on Monday morning in the Padri Bazaar area here when at least 12 idols were found broken and scattered on the ground, police said. The idols belonged to Natveer Baba temple and other roadside shrines, they said. Top police officers reached the spot and controlled the situation.last_img


Opening of EP Hotel an Economic Boost for Mobay – Bartlett

first_img He said that beyond the jobs generated, there is spin-off for manufacturing and other sectors from the use of locally made furnishings, and other products and services. “So, you can see how this property is adding dimension to Jamaica’s tourism product while producing a magnificent multiplier effect as its impact ripples through the Montego Bay community and beyond,” he noted. Minister of Tourism, Hon. Edmund Bartlett, says the opening of the S Hotel has created an economic boost for Montego Bay. Story Highlights Minister of Tourism, Hon. Edmund Bartlett, says the opening of the S Hotel has created an economic boost for Montego Bay.He said that beyond the jobs generated, there is spin-off for manufacturing and other sectors from the use of locally made furnishings, and other products and services.“So, you can see how this property is adding dimension to Jamaica’s tourism product while producing a magnificent multiplier effect as its impact ripples through the Montego Bay community and beyond,” he noted.“This is what we mean when we talk about strengthening the linkages between tourism and other economic sectors so that more Jamaicans benefit from tourism’s success and more of the tourism dollars stay right here the country,” he pointed out.Mr. Bartlett was speaking at the official opening of the European Plan (EP) property located on the Montego Bay Hip Strip on Gloucester Avenue on January 26.Unlike all-inclusive hotels where meals and most services are covered in one package, EP hotels focus on accommodation, with meals and services at additional costs or accessible outside of the property.The Tourism Minister noted that EP properties like the S Hotel create economic opportunity for surrounding communities – restaurants, shops, craft markets and attractions – as “guests tend to spend on services provided by local businesses outside the hotels.”“EP models are ideal for the more adventurous traveller; those seeking immersive vacation experiences and genuine engagement with the local community,” he pointed out.“They want the freedom to wander around town and discover eateries popular with locals, purchase authentic handicraft and experience the unique way of life of the destination,” he added.The Minister said that the Montego Bay Hip Strip offers a prime setting for EP hotels and he wants to see more investors “set up shop” along “this important stretch.”“I am referring not only to accommodations but shops, attractions and eateries,” he said.“Of course, current activity on the Hip Strip augurs well for the future. I am pleased to see hotels being refurbished and restaurants like Usain Bolt’s Tracks & Records opening to join the veterans like Margaritaville, Blue Beat Ultra Lounge and Pier One in providing a variety of exciting entertainment offerings to both visitors and locals. I look forward to further developments,” he said.He noted that the area is on the Government’s radar for further development.“After all, it is the perfect location – a stone’s throw from Doctor’s Cave Beach, just five minutes from the Sangster International Airport and within walking distance of some of the best nightlife, restaurants and shopping,” he noted.The Minister added that he is looking forward to “a greater coming together of the public and private sectors to recreate a vibrancy on the Strip not seen since its heyday”.last_img read more


Historys angels in the Capital

first_imgFamous for his strong expressionist visual language, Vikash Kalra has already conducted five solo exhibitions in Delhi and elsewhere. The present solo show, Angels of History is presented by Siddharth Tagore of Art Konsult, New Delhi and is curated by noted art critic and curator, JohnyML.Vikash Kalra, a young artist whose works have already become an integral part of most of the eminent art collections in India and abroad, is known as a ‘contemporary Souza’. Inspired by the works of Pablo Picasso and Souza, this self taught artist worked his ways through the dense forest of Indian art scene and established a space of his own. With a decade long career to claim for himself, Vikash has an interesting life which is worth following. Also Read – ‘Playing Jojo was emotionally exhausting’Born in Delhi and educated in Delhi University, Vikash had donned many hats during his growing up years. A book on Picasso found amongst the second hand books took Vikash to a new realm of experience. As if touched by a spiritual vision, he did 2000 drawings in a week’s time on magazine pages. It was a life changing experience. Vikash left everything behind to become an artist and the decision proved to be right as his talent was recognized by galleries and art collectors. Also Read – Leslie doing new comedy special with Netflix‘Looking at the paintings of Vikash Kalra, which is prolific in output as he works like a possessed man day in and day out, one could say for sure that it is neither market nor critique on his works that sets his creative spirit ringing. There is something that is beyond all the materialistic considerations that makes this artist to work through conducive and difficult times. Perhaps, in Kalra’s own words, there is no time which is difficult for an artist,’ writes JohnyML, the curator of the show. An ardent collector of music and musical instruments, Vikash spends most of his time in his studios, painting, sculpting and making music of his liking. A documentary on his life has been produced by noted art critic, Vinod Bharadwaj. Vikash creative life so far has been the life of a wandering minstrel; the one who wanders through the streets of art. Angels of History places him along with the major contemporary artists in India.DETAILAt: Visual art Gallery, India Habitat Centre On Till: 19 April (11 am – 8 pm), Show will continue from 20 April to 4 May at Art Konsult, Lado SaraiTHE URBAN REALITY CHECKUrban life all around comes with a lot of pros and cons. Social satire has been around since people have been around. Cities have everything in king size, both the beauty and the ugliness. City life is rich in poetic and marvelous subjects. We are enveloped and steeped as though in an atmosphere of the marvelous; but we do not notice it. In Urban Realities both of the artists presents a glimpse of the trepidations, congruence and the conflicts of  urban life  in different forms through different mediums. Forchino chooses to create figures and scenes that give a comical twist to mundane characters. They are typically humorous subjects such as a family leaving on vacation in an overloaded car with flat tires etc. While Hemant Puri uses exploits of urban life and the contrast of traversing from semi urban to urban life in which space which is basic to every object plays a vital role.DETAILAt: Gallery Art Positive , Lado Sarai On Till: 10 April – 10 May (11am – 7 pm)FOR SOME TRANQUILITYThe group art show Tranquility at Shree Yash Art Gallery, New Delhi encompasses various eminent artists and brings them together by captivating a vast range of moods and moments in their respective walks of life. Participating artists include Madan Lal, Nand Lal Thakur, S.D.Shrotriya, R.C Bhawsar, Prithvi Soni, Harish Kumar, Manjit Soni and Savita Agrawal. The show is putting on display the  picturesque landscapes of Shrotriya, the true to life depictions ofBhawsar, the well known Prithvi Soni’s vibrant coloured Rajasthani folk classics, Nand Thakur’s myriad abstract forms, Harish Kumar whose art work valuation is steeping up due to sheer indian content. Viewers have by now been well acquainted with hues of contemporary works of Madan Lal. Lastly, the traditional art works of Savita Agrawal, Director and curator, Shree Yash Art Gallery.  The show is aptly titled Tranquility as it allows the artists to freely express their art forms with such dexterity and proficiency that the outcome has to be nothing but tranquil.DETAILAt: Shree Yash Art Gallery, Green Park Main On Till: 15 – 30 April (11 am – 7 pm)last_img read more


19 killed in South Yemen clashes

first_imgAt least 19 people have been killed in Saudi-led coalition air strikes and clashes between pro-government forces and rebels in Yemen’s south, military sources said.The air strikes took place late Friday and targeted two rebel vehicles on a road linking the central province of Ibb province to Daleh province further south, the sources said. Forces loyal to Gulf-backed Prez Abedrabbo Mansour Hadi recaptured Daleh and four other southern provinces in July.last_img


Pentest tool in focus Metasploit

first_imgSecurity over the web is of the highest priority these days as most of our transactions and storage takes place on the web. Our systems are ripe for cracking by hackers. Don’t believe me? check out the below video. How can we improve our security belts around our system? Metasploit is one solution cybersecurity professionals look at to tight-lock their security with no risk of intruders. Metasploit, an open source project, allows individuals or organizations to identify security vulnerabilities and develop a code using which network administrators can break into their own code and identify potential risks. They can then prioritize which vulnerabilities need to be addressed. The Metasploit project offers Penetration (pen) testing software Tools for automating the comparison of a program’s vulnerability Anti-forensic and advanced evasion tools Some tools are also built-in the Metasploit framework. The Metasploit Framework  is a collection of tools, libraries, modules and so on. It is popular among cybersecurity professionals and ethical hackers to carry out penetration testing or hacking. They can use it to exploit vulnerabilities on a network and also make Trojans, backdoors, botnets, phishing and so on. You can check out our article on 12 common malware types you should know, to know about the different malware types. The Metasploit Framework is supported by various operating systems including, Linux, MAC-OS, Windows, Android and so on. One can use metasploit in both free and paid versions, where the free version(Metasploit Framework and Metasploit community)can be used to find out basic exploits. However, a full paid version(Metasploit Pro) is preferred as it allows one to carry out deep pen-tests and other advanced features. A paid version offers: Collects integrations via remote APIs Automate several tasks, which include smart exploitation, penetration testing reports, and much more. Infiltrates dynamic payloads to evade the top antivirus solutions Also, in order to use this hacking tool, one can make use of the different interfaces it offers. Metasploit Interfaces Msfconsole Msfconsole is one of the highly popular interfaces in the metasploit framework. Once you have a hang of this interface and its syntax, it will provide a coherent access to all the options within the Metasploit Framework. Some advantages of msfconsole include: With the msfconsole, one can access all the features in the MSF Most stable and provides a console-based interface With msfconsole executing external commands is possible One can experience a full readline support, tabbing, and command completion Msfcli Msfcli enables a powerful command-line interface to the framework. Some features of this interface include: Support for the launch of exploits and auxiliary modules. Great for use in scripts and basic automation. However, one should be careful while using msfcli as variables are case-sensitive, and are assigned using an equal to (=) sign. MsfGUI Msfgui is the GUI of the framework and a tool to carry out demonstrations to clients and management. The msfgui: provides a point-and-click interface for exploitation a GTK wizard-based interface for using the metasploit framework Armitage Developed by Raphael Mudge, Armitage, is an open source Java-based frontend GUI for the metasploit framework. Its primary aim is to assist security professionals to understand hacking, by getting to know the true potential of Metasploit. Advantages of using Metasploit One can automate each phase of penetration testing Metasploit allows pentesters and cyber professionals to automate all phases within the penetration test. This is because, the amount of time required to carry out a complete and thorough pen-test is huge. Metasploit automates tasks; right from selecting the appropriate exploit to streamline the evidence collection and reporting of the attack. Credentials can be gathered and reused Credentials are the keys to any network, and the biggest prize for a penetration tester. With metasploit, one can catalog and track user credentials for reporting. Professionals and hackers can also make use of these credentials across every system in the network using a simple credential domino wizard. Become a next-Level Pen Tester If one has already worked with Metasploit framework for years together, its pro version is definitely the next step to head for. With Metasploit Pro, the expert can easily move through a network using the pivoting and antivirus evasion capabilities. They can also create instant reports on the progress and evidence. The best part is, one can seamlessly use custom scripts by going into the command line framework. Metasploit in competition with other pentesting tools Metasploit is not the only tool that offers penetration testing but it is one of the preferred ones. There are a number of other tools in the market that can give Metasploit a tough competition. Some of them include Wireshark, Nessus, Nmap, and so on. Wireshark is a famous network protocol analyzer. It can read captured information from other applications and is multiplatform. The only con it has is, it has a steep learning curve. Nessus is a vulnerability scanner and a popular tool among the professionals in security. It has a huge library of vulnerabilities and respective tests to identify them. It relies on the response from the target host to identify a breach. Here, metasploit is used as an exploitation tool to identify if the detected breach could be exploitable. Nmap (Network mapper) is a highly competent pen testing tool used for network mapping or discovery. On comparing with metasploit, it has a rudimentary GUI as compared to Metasploit. Metasploit is moving into web application security with its 3.5.0 release. The community has also added native PHP and Java payloads, which makes it easy to acquire advanced functionality through web application and Java server vulnerabilities. The community plans to port more exploits and modules to the metasploit platform. Additional modules that target embedded devices, hardware devices, etc.and BUS systems, such as K-Line could be added in the near future. Read Next 5 pen testing rules of engagement: What to consider while performing Penetration testing How to secure a private cloud using IAM Top 5 penetration testing tools for ethical hackerslast_img read more


Implementing fuzzy logic to bring AI characters alive in Unity based 3D

first_img SetLabels(); } The Start() method doesn’t require much explanation. We simply update our labels here so that they initialize to something other than the default text. The EvaluateStatements() method is much more interesting. We first do some simple null checking for our input string. We don’t want to try and parse an empty string, so we return out of the function if it is empty. As mentioned earlier, there is no check in place to validate that you’ve input a numerical value, so be sure not to accidentally input a non-numerical value or you’ll get an error. For each of the AnimationCurve variables, we call the Evaluate(float t) method, where we replace t with the parsed value we get from the input field. In the example we ran, that value would be 65. Then, we update our labels once again to display the values we got. The code looks similar to this: /* * Updates the GUI with the evluated values based * on the health percentage entered by the * user. */ private void SetLabels() { healthyLabel.text = string.Format(labelText, healthyValue); hurtLabel.text = string.Format(labelText, hurtValue); criticalLabel.text = string.Format(labelText, criticalValue); } } We simply take each label and replace the text with a formatted version of our labelText constant that replaces the {0} with the real value. To summarize, we learned how fuzzy logic is used in the real world, and how it can help illustrate vague concepts in a way binary systems cannot. We also learned to implement our own fuzzy logic controllers using the concepts of member functions, degrees of membership, and fuzzy sets. If you enjoyed this excerpt, check out the book Unity 2017 Game AI Programming – Third Edition, to build exciting and richer games by mastering advanced Artificial Intelligence concepts in Unity. Read Next: Unity Machine Learning Agents: Transforming Games with Artificial Intelligence Put your game face on! Unity 2018.1 is now available How to create non-player Characters (NPC) with Unity 2018 public class FuzzySample1 : MonoBehaviour { private const string labelText = “{0} true”; public AnimationCurve critical; public AnimationCurve hurt; public AnimationCurve healthy; healthyValue = healthy.Evaluate(inputValue); hurtValue = hurt.Evaluate(inputValue); criticalValue = critical.Evaluate(inputValue); public Text healthyLabel; public Text hurtLabel; public Text criticalLabel; public InputField healthInput; center_img Fuzzy logic is a fantastic way to represent the rules of your game in a more nuanced way. Perhaps more so than other concepts, fuzzy logic is a very math-heavy topic. Most of the information can be represented purely by mathematical functions. For the sake of teaching the important concepts as they apply to Unity, most of the math has been simplified and implemented using Unity’s built-in features. In this tutorial, we will take a look at the concepts behind fuzzy logic systems and implement in your AI system. Implementing fuzzy logic will make your game characters more believable and depict real-world attributes. This article is an excerpt from a book written by Ray Barrera, Aung Sithu Kyaw, and Thet Naing Swe titled Unity 2017 Game AI Programming – Third Edition. This book will help you leverage the power of artificial intelligence to program smart entities for your games. Defining fuzzy logic The simplest way to define fuzzy logic is by comparison to binary logic.  Generally, transition rules as looked at as true or false or 0 or 1 values. Is something visible? Is it at least a certain distance away? Even in instances where multiple values were being evaluated, all of the values had exactly two outcomes; thus, they were binary. In contrast, fuzzy values represent a much richer range of possibilities, where each value is represented as a float rather than an integer. We stop looking at values as 0 or 1, and we start looking at them as 0 to 1. A common example used to describe fuzzy logic is temperature. Fuzzy logic allows us to make decisions based on non-specific data. I can step outside on a sunny Californian summer’s day and ascertain that it is warm, without knowing the temperature precisely. Conversely, if I were to find myself in Alaska during the winter, I would know that it is cold, again, without knowing the exact temperature. These concepts of cold, cool, warm, and hot are fuzzy ones. There is a good amount of ambiguity as to at what point we go from warm to hot. Fuzzy logic allows us to model these concepts as sets and determine their validity or truth by using a set of rules. When people make decisions, people have some gray areas. That is to say, it’s not always black and white. The same concept applies to agents that rely on fuzzy logic. Say you hadn’t eaten in a few hours, and you were starting to feel a little hungry. At which point were you hungry enough to go grab a snack? You could look at the time right after a meal as 0, and 1 would be the point where you approached starvation. The following figure illustrates this point: When making decisions, there are many factors that determine the ultimate choice. This leads into another aspect of fuzzy logic controllers—they can take into account as much data as necessary. Let’s continue to look at our “should I eat?” example. We’ve only considered one value for making that decision, which is the time since the last time you ate. However, there are other factors that can affect this decision, such as how much energy you’re expending and how lazy you are at that particular moment. Or am I the only one to use that as a deciding factor? Either way, you can see how multiple input values can affect the output, which we can think of as the “likeliness to have another meal.” Fuzzy logic systems can be very flexible due to their generic nature. You provide input, the fuzzy logic provides an output. What that output means to your game is entirely up to you. We’ve primarily looked at how the inputs would affect a decision, which, in reality, is taking the output and using it in a way the computer, our agent, can understand. However, the output can also be used to determine how much of something to do, how fast something happens, or for how long something happens. For example, imagine your agent is a car in a sci-fi racing game that has a “nitro-boost” ability that lets it expend a resource to go faster. Our 0 to 1 value can represent a normalized amount of time for it to use that boost or perhaps a normalized amount of fuel to use. Picking fuzzy systems over binary systems With most things in game programming, we must evaluate the requirements of our game and the technology and hardware limitations when deciding on the best way to tackle a problem. As you might imagine, there is a performance cost associated with going from a simple yes/no system to a more nuanced fuzzy logic one, which is one of the reasons we may opt out of using it. Of course, being a more complex system doesn’t necessarily always mean it’s a better one. There will be times when you just want the simplicity and predictability of a binary system because it may fit your game better. While there is some truth to the old adage, “the simpler, the better”, one should also take into account the saying, “everything should be made as simple as possible, but not simpler”. Though the quote is widely attributed to Albert Einstein, the father of relativity, it’s not entirely clear who said it. The important thing to consider is the meaning of the quote itself. You should make your AI as simple as your game needs it to be, but not simpler. Pac-Man’s AI works perfectly for the game–it’s simple enough. However, rules say that simple would be out of place in a modern shooter or strategy game. Using fuzzy logic Once you understand the simple concepts behind fuzzy logic, it’s easy to start thinking of the many ways in which it can be useful. In reality, it’s just another tool in our belt, and each job requires different tools. Fuzzy logic is great at taking some data, evaluating it in a similar way to how a human would (albeit in a much simpler way), and then translating the data back to information that is usable by the system. Fuzzy logic controllers have several real-world use cases. Some are more obvious than others, and while these are by no means one-to-one comparisons to our usage in game AI, they serve to illustrate a point: Heating ventilation and air conditioning (HVAC) systems: The temperature example when talking about fuzzy logic is not only a good theoretical approach to explaining fuzzy logic, but also a very common real-world example of fuzzy logic controllers in action. Automobiles: Modern automobiles come equipped with very sophisticated computerized systems, from the air conditioning system (again), to fuel delivery, to automated braking systems. In fact, putting computers in automobiles has resulted in far more efficient systems than the old binary systems that were sometimes used. Your smartphone: Ever notice how your screen dims and brightens depending on how much ambient light there is? Modern smartphone operating systems look at ambient light, the color of the data being displayed, and the current battery life to optimize screen brightness. Washing machines: Not my washing machine necessarily, as it’s quite old, but most modern washers (from the last 20 years) make some use of fuzzy logic. Load size, water dirtiness, temperature, and other factors are taken into account from cycle to cycle to optimize water use, energy consumption, and time. If you take a look around your house, there is a good chance you’ll find a few interesting uses of fuzzy logic, and I mean besides your computer, of course. While these are neat uses of the concept, they’re not particularly exciting or game-related. I’m partial to games involving wizards, magic, and monsters, so let’s look at a more relevant example. Implementing a simple fuzzy logic system For this example, we’re going to use my good friend, Bob, the wizard. Bob lives in an RPG world, and he has some very powerful healing magic at his disposal. Bob has to decide when to cast this magic on himself based on his remaining health points (HPs). In a binary system, Bob’s decision-making process might look like this: if(healthPoints We see that Bob’s health can be in one of two states—above 50, or not. Nothing wrong with that, but let’s have a look at what the fuzzy version of this same scenario might look like, starting with determining Bob’s health status:Before the panic sets in upon seeing charts and values that may not quite mean anything to you right away, let’s dissect what we’re looking at. Our first impulse might be to try to map the probability that Bob will cast a healing spell to how much health he is missing. That would, in simple terms, just be a linear function. Nothing really fuzzy about that—it’s a linear relationship, and while it is a step above a binary decision in terms of complexity, it’s still not truly fuzzy.Enter the concept of a membership function. It’s key to our system, as it allows us to determine how true a statement is. In this example, we’re not simply looking at raw values to determine whether or not Bob should cast his spell; instead, we’re breaking it up into logical chunks of information for Bob to use in order to determine what his course of action should be.In this example, we’re comparing three statements and evaluating not only how true each one is, but which is the most true:Bob is in a critical condition Bob is hurt Bob is healthy If you’re into official terminology, we call this determining the degree of membership to a set. Once we have this information, our agent can determine what to do with it next. At a glance, you’ll notice it’s possible for two statements to be true at a time. Bob can be in a critical condition and hurt. He can also be somewhat hurt and a little bit healthy. You’re free to pick the thresholds for each, but, in this example, let’s evaluate these statements as per the preceding graph. The vertical value represents the degree of truth of a statement as a normalized float (0 to 1): At 0 percent health, we can see that the critical statement evaluates to 1. It is absolutely true that Bob is critical when his health is gone. At 40 percent health, Bob is hurt, and that is the truest statement. At 100 percent health, the truest statement is that Bob is healthy. Anything outside of these absolutely true statements is squarely in fuzzy territory. For example, let’s say Bob’s health is at 65 percent. In that same chart, we can visualize it like this: The vertical line drawn through the chart at 65 represents Bob’s health. As we can see, it intersects both sets, which means that Bob is a little bit hurt, but he’s also kind of healthy. At a glance, we can tell, however, that the vertical line intercepts the Hurt set at a higher point in the graph. We can take this to mean that Bob is more hurt than he is healthy. To be specific, Bob is 37.5 percent hurt, 12.5 percent healthy, and 0 percent critical. Let’s take a look at this in code; open up our FuzzySample scene in Unity. The hierarchy will look like this: The important game object to look at is Fuzzy Example. This contains the logic that we’ll be looking at. In addition to that, we have our Canvas containing all of the labels and the input field and button that make this example work. Lastly, there’s the Unity-generated EventSystem and Main Camera, which we can disregard. There isn’t anything special going on with the setup for the scene, but it’s a good idea to become familiar with it, and you are encouraged to poke around and tweak it to your heart’s content after we’ve looked at why everything is there and what it all does. With the Fuzzy Example game object selected, the inspector will look similar to the following image: Our sample implementation is not necessarily something you’ll take and implement in your game as it is, but it is meant to illustrate the previous points in a clear manner. We use Unity’s AnimationCurve for each different set. It’s a quick and easy way to visualize the very same lines in our earlier graph. Unfortunately, there is no straightforward way to plot all the lines in the same graph, so we use a separate AnimationCurve for each set. In the preceding screenshot, they are labeled Critical, Hurt, and Healthy. The neat thing about these curves is that they come with a built-in method to evaluate them at a given point (t). For us, t does not represent time, but rather the amount of health Bob has. As in the preceding graph, the Unity example looks at a HP range of 0 to 100. These curves also provide a simple user interface for editing the values. You can simply click on the curve in the inspector. That opens up the curve editing window. You can add points, move points, change tangents, and so on, as shown in the following screenshot: Unity’s curve editor window Our example focuses on triangle-shaped sets. That is, linear graphs for each set. You are by no means restricted to this shape, though it is the most common. You could use a bell curve or a trapezoid, for that matter. To keep things simple, we’ll stick to the triangle. You can learn more about Unity’s AnimationCurve editor at http://docs.unity3d.com/ScriptReference/AnimationCurve.html. The rest of the fields are just references to the different UI elements used in code that we’ll be looking at later in this chapter. The names of these variables are fairly self-explanatory, however, so there isn’t much guesswork to be done here. Next, we can take a look at how the scene is set up. If you play the scene, the game view will look something similar to the following screenshot: A simple UI to demonstrate fuzzy values We can see that we have three distinct groups, representing each question from the “Bob, the wizard” example. How healthy is Bob, how hurt is Bob, and how critical is Bob? For each set, upon evaluation, the value that starts off as 0 true will dynamically adjust to represent the actual degree of membership. There is an input box in which you can type a percentage of health to use for the test. No fancy controls are in place for this, so be sure to enter a value from 0 to 100. For the sake of consistency, let’s enter a value of 65 into the box and then press the Evaluate! button. This will run some code, look at the curves, and yield the exact same results we saw in our graph earlier. While this shouldn’t come as a surprise (the math is what it is, after all), there are fewer things more important in game programming than testing your assumptions, and sure enough, we’ve tested and verified our earlier statement. After running the test by hitting the Evaluate! button, the game scene will look similar to the following screenshot: This is how Bob is doing at 65 percent health Again, the values turn out to be 0.125 (or 12.5 percent) healthy and 0.375 (or 37.5 percent) hurt. At this point, we’re still not doing anything with this data, but let’s take a look at the code that’s handling everything: using UnityEngine; using UnityEngine.UI; using System.Collections; private float criticalValue = 0f; private float hurtValue = 0f; private float healthyValue = 0f; We start off by declaring some variables. The labelText is simply a constant we use to plug into our label. We replace {0} with the real value. Next, we declare the three AnimationCurve variables that we mentioned earlier. Making these public or otherwise accessible from the inspector is key to being able to edit them visually (though it is possible to construct curves by code), which is the whole point of using them. The following four variables are just references to UI elements that we saw earlier in the screenshot of our inspector, and the last three variables are the actual float values that our curves will evaluate into: private void Start () { SetLabels(); } /* * Evaluates all the curves and returns float values */ public void EvaluateStatements() { if (string.IsNullOrEmpty(healthInput.text)) { return; } float inputValue = float.Parse(healthInput.text); last_img read more


WTM London DTTT host Nov 7 event aimed at solving overcrowding

first_img Share Tags: DTTT, London, WTM << Previous PostNext Post >> Travelweek Group WTM London, DTTT host Nov. 7 event aimed at solving overcrowdingcenter_img LONDON — WTM London 2018, taking place Nov. 5 – 7, will host a day-long challenge organized by The Digital Tourism Think Tank (DTTT) that puts teams against each other to solve overcrowding in some of Europe’s busiest destinations.Working with I Amsterdam, the destination challenge asks teams from start-up hubs, tech communities and innovation centres, alongside destination, industry and academia to use design thinking to come up with a solution to overcrowding in these popular tourist hotspots. The event is set to take place at WTM on Nov. 7.Applicants are invited to apply for their spot by filling out an application form and explaining why the topic is important to them.Applicants will then be sorted and arranged into teams ahead of the day to allow for additional preparation and research.On the day, the teams will listen to real-life case studies from Amsterdam before getting on with the challenge and finding a solution to: How can we overcome the challenge of overcrowding in tourism hotspots and spread the value of tourism wider?More news:  Save the dates! Goway’s Africa Roadshow is backSpeaking of the destination challenge and the opportunity it poses for all involved, Nick Hall, DTTT founder says: “This is a truly unique gathering of some of the brightest minds from within, and also outside, of the travel industry. For challenge participants, the opportunity is unprecedented; to pitch solutions to a hugely engaged audience of leading destination and industry professionals in the Europe Inspiration Zone.”The Challenge Host cities, as well as WTM London and DTTT experts will be on-hand throughout the day to offer guidance, feedback and advice before each team pitching to a panel of judges at the end of the day.The judges will assessing each pitch based on the strength of the solution, how realistic it is to launch, how creative the approach is and how long it is likely to last. The winning team is invited to #DTTTGlobal in Helsinki this year to pitch their winning solution to industry experts and DMO representatives from all over the world.More news:  Honolulu authorities investigate arsons at 3 Waikiki hotels; no injuries reportedWTM London, Conference and Seminar Manager, Charlotte Alderslade, said: “Ideas Arrive at WTM London and this session on overcrowding is the perfect example of how the event looks to tackle the industry’s biggest challenges and come up with solutions.”The challenge takes place all day on Nov. 7, kicking off at 8 a.m., with the final round of pitching happening 3 – 4:30 p.m. in the Europe Inspiration Zone.Submissions for applications to take part in the session close on Oct. 24. Apply at https://www.thinkdigital.travel/challenge/. Tuesday, September 25, 2018 Posted bylast_img read more