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36 rooms (Single, Classic, Superior) cosy with free High Speed WIFI. Hospitality tray (tea, coffee) in the room.

The Hotel Acacias Etoile*** is just a few minutes walk from the Arc de Triomphe and Champs Elysées. Ideally located for visiting Paris and its monuments.

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Conveniently located near the Arc de Triomphe, the Acacias Étoile is a quiet and comfortable 3-star hotel ideal for business trips or holiday travel.

Located just a short walk from the Arc de Triomphe and Palais des Congrès. Metro line 1 just 100 m away (Direct Défense / Champs Elysées).

A lively area offering a wide selection of restaurants located nearby.

First, the front desk staff is very friendly and helpful. Every morning they offered information to get us to our destinations. They also provided recommendations for eating and entertainment. The room was small as far as American standards, but good comfortable and clean. It was very quiet and had everything we needed. The location is awesome, because we were a 5 minute walk from the metro and could get to any location in the city in 10 minutes.

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Excellent small hotel near the Arc de Triomphe - good rooms, great staff in a great central location! I have stayed here many times over the years and keep coming back again and again. Merci beaucoup pour un bon sejour! I will be back again in the not too distant future I hope!

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A delightful family run hotel, very clean, good hospitality, close to all amenities and within walking distance to the Arc the Champs Elysees. Had a lovely weekend and would highly recommend to anyone! We will be returning soon and the hotel is within walking distance of the Air France shuttle bus drop off point.

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Do not miss Paris’s most famous funfair during your trip to the French capital! La Foire du Trône is back on March 30th, 2018 ...

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Artificial emotional intelligence or Emotion AI is also known as emotion recognition or emotion detection technology. In market research, this is commonly referred to as facial coding.

Humans use a lot of non-verbal cues, such as facial expressions, gesture, body language and tone of voice, to communicate their emotions. Our vision is to develop Emotion AI that can detect emotion just the way humans do, from multiple channels. Our long term goal is to develop “MultimodalEmotion AI”, that combines analysis of both face and speech as complementary signals to provide richerinsightinto the humanexpression of emotion. For several years now, Affectiva has been offering industry leading technology for the analysis of facial expressions of emotions. Most recently, Affectiva has added speech capabilities now available to select beta testers ( learn more here ).

Our Emotion AI unobtrusively measures unfiltered and unbiased facial expressions of emotion, using any optical sensor or just a standard webcam. Our technology first identifies a human face in real time or in an image or video. Computer vision algorithms identify key landmarks on the face – for example, the corners of your eyebrows, the tip of your nose, the corners of your mouth. Deep learning algorithms then analyze pixels in those regions to classify facial expressions. Combinations of these facial expressions are then mapped to emotions.

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Our speech capability analyzes not what is said, but how it is said, observing changes in speech paralinguistics, tone, loudness, tempo, and voice quality to distinguish speech events, emotions, and gender.The underlying low latency approach is key to enabling the development of real-time emotion-aware apps and devices.

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connecting is everything

Posted on Wednesday, February 1, 2017 3:00 PM

by Toon Vanhoutte

In many integration projects, the importance of idempotent receivers is overlooked. This blog post summarizes what idempotent receivers are, why we need them and how we can achieve it.

Let's first have a closer look at the definition of idempotence, according to Wikipedia . " Idempotence is the property of certain operations in mathematics and computer science, that can be applied multiple times without changing the result beyond the initial application. " The meaning of this definition is explained as: " a function is idempotent if, whenever it is applied twice to any value, it gives the same result as if it were applied once; i.e., ƒ(ƒ(x)) ≡ ƒ(x) ".

If we apply this on integration, it means that a system is idempotent when it can process a specific message multiple times, while still retaining the same end-result. As a real-life example, an ERP system is idempotent if only one sales order is created, even if the CreateSalesOrder command message was submitted multiple times by the integration layer.

Often, customers request the integration layer to perform duplicate detection, so the receiving systems should not be idempotent. This statement is only partially true. Duplicate detection on the middleware layer can discard messages that are received more than once. However, even in case a message is only received once by the middleware, it may still end-up multiple times in the receiving system. Below you can find two examples of such edge cases.

Nowadays, integration leverages more and more the power of API's. API's are built on top of the HTTP protocol, which can cause issues due to its nature. Let's consider the following situations:

In this case, all is fine. The service processed the request successfully and the client is aware of this.

Here there is also no problem. The service failed processing the request and the client knows about it. The client will retry. Eventually the service will only process the message once.

This is a dangerous situation in which client and service are misaligned on the status. The service successfully processed the message, however the HTTP 200 response never reached the client. The client times out and will retry. In this case the message is processed twice by the server, so idempotence might be needed.

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