ALA  Logistics

ALA Logistics

1655029054

Wire Mesh Deck Optimizes Storage Space

Industrial storage containers and wire mesh deck systems are two of the most useful material handling units for ensuring the safe transportation and storage of a variety of materials and goods. The containers and wire decks serve as an excellent storage solution while also optimizing vital storage space.

You may not only start organizing a warehouse and optimize its design, but you can also make its services and operations operate more efficiently and reliably by selecting the correct storage containers.

ALA Logistics Offers Premium Services at Competitive Prices 

We at ALA Logistics, being a premier provider of various types of material handling units, have a broad portfolio of material handling equipment and storage containers that are renowned to satisfy your various needs for goods/materials storage and transportation.

Our revolutionary wire mesh decks and wire containers are perfect for use in the production, factory, transportation, and retail processes, and they meet your storage demands at sensible, cheap pricing.

Types of Storage, Logistics, Transportation and Material Handling Solutions Available at ALA Logistics

At ALA Logistics, our range of wire storage containers and wire mesh deck systems are designed after carefully examining the material storage requirements of the warehouse, factory or other industrial setups. To meet the diverse demands, we have manufactured a lot of useful products by following the set industry standards and guidelines.

A few products from our portfolio include—

  • Wire mesh containers
  • Stacking racks
  • Post pallet
  • Wire mesh deck
  • Cage pallet
  • Roll container
  • Stillage
  • And a lot more!

Our wire storage containers and wire mesh deck systems at ALA Logistics are created after a thorough examination of the material storage requirements of warehouses, factories, and other industrial settings. To fulfil a wide range of needs, we've created many products and equipment while adhering to industry norms and requirements.

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ALA  Logistics

ALA Logistics

1655029054

Wire Mesh Deck Optimizes Storage Space

Industrial storage containers and wire mesh deck systems are two of the most useful material handling units for ensuring the safe transportation and storage of a variety of materials and goods. The containers and wire decks serve as an excellent storage solution while also optimizing vital storage space.

You may not only start organizing a warehouse and optimize its design, but you can also make its services and operations operate more efficiently and reliably by selecting the correct storage containers.

ALA Logistics Offers Premium Services at Competitive Prices 

We at ALA Logistics, being a premier provider of various types of material handling units, have a broad portfolio of material handling equipment and storage containers that are renowned to satisfy your various needs for goods/materials storage and transportation.

Our revolutionary wire mesh decks and wire containers are perfect for use in the production, factory, transportation, and retail processes, and they meet your storage demands at sensible, cheap pricing.

Types of Storage, Logistics, Transportation and Material Handling Solutions Available at ALA Logistics

At ALA Logistics, our range of wire storage containers and wire mesh deck systems are designed after carefully examining the material storage requirements of the warehouse, factory or other industrial setups. To meet the diverse demands, we have manufactured a lot of useful products by following the set industry standards and guidelines.

A few products from our portfolio include—

  • Wire mesh containers
  • Stacking racks
  • Post pallet
  • Wire mesh deck
  • Cage pallet
  • Roll container
  • Stillage
  • And a lot more!

Our wire storage containers and wire mesh deck systems at ALA Logistics are created after a thorough examination of the material storage requirements of warehouses, factories, and other industrial settings. To fulfil a wide range of needs, we've created many products and equipment while adhering to industry norms and requirements.

Einar  Hintz

Einar Hintz

1593244500

Storage in Android - How to save data and files in Android? - DataFlair

Storage in Android

Android uses a file system that is like a disk-based file system of other platforms. The Android system provides different options to save application data:

  • Application-specific storage in Android
  • Shared storage in Android
  • Preferences in Android
  • Databases in Android

Let us go through these all one by one.

1. Android Application-specific storage

In this, the stored data is meant only for a specific application’s use. It is stored either in a dedicated directory inside the internal storage or in external storage. The sensitive data, that is specific to the app and shall not be accessible to other apps is generally stored in Internal Storage. There are certain things about it that are:

a. To access it, we have two ways:

  • Internal Storage
  • getFilesDir() or getCacheDir()
  • External Storage
  • getExternalFilesDir() or getExternalCacherDir()

b. Permission is not required for Internal Storage as well as for External Storage. When considering external storage, we do not need permission for Android version 4.4(API level 19) or higher.

c. If the app data is in internal storage, other apps cannot access it. If the data is in external storage, files can be accessed by other apps.

d. If the application is uninstalled by any means, the data files also get deleted.

2. Shared Storage in Android

In this, the stored data is meant to be shared among other apps as well. It includes data such as multimedia, documents, etc. There are certain things about it that are:

a. Access the data with MediaStore API and Storage Access Framework.

b. To read the media file use these permissions: READ_EXTERNAL_STORAGE or WRITE_EXTERNAL_STORAGE for Android 10 or higher.

c. You can access the media files by other files through READ_EXTERNAL_STORAGE and the document files, through system file picker.

d. If you uninstall the app, the data would not be deleted from the External Storage.

3. Android Preferences

They store the data in a private database. It stores the data in the form of a key-value pair. There are certain things about it that are:

a. Data is stored in a key-value pair.

b. It can be accessed through the Jetpack preference library.

c. Data from this cannot be accessed through other applications.

d. When you uninstall the app, the data gets deleted.

4. Android Databases

In this, the data is stored as structured data in a private database. For that, it uses the Room persistence library. There are certain things about it that are:

a. It has structured data

b. To access the data use Room persistence library

c. No other application can access the data

d. On the uninstallation of the application, the data gets deleted too.

#android tutorials #android storage #external storage in android #internal storage in android #storage in android

Mya  Lynch

Mya Lynch

1599095520

Complete Guide to Adam Optimization

In the 1940s, mathematical programming was synonymous with optimization. An optimization problem included an objective function that is to be maximized or minimized by choosing input values from an allowed set of values [1].

Nowadays, optimization is a very familiar term in AI. Specifically, in Deep Learning problems. And one of the most recommended optimization algorithms for Deep Learning problems is Adam.

Disclaimer: basic understanding of neural network optimization. Such as Gradient Descent and Stochastic Gradient Descent is preferred before reading.

In this post, I will highlight the following points:

  1. Definition of Adam Optimization
  2. The Road to Adam
  3. The Adam Algorithm for Stochastic Optimization
  4. Visual Comparison Between Adam and Other Optimizers
  5. Implementation
  6. Advantages and Disadvantages of Adam
  7. Conclusion and Further Reading
  8. References

1. Definition of Adam Optimization

The Adam algorithm was first introduced in the paper Adam: A Method for Stochastic Optimization [2] by Diederik P. Kingma and Jimmy Ba. Adam is defined as “a method for efficient stochastic optimization that only requires first-order gradients with little memory requirement” [2]. Okay, let’s breakdown this definition into two parts.

First, stochastic optimization is the process of optimizing an objective function in the presence of randomness. To understand this better let’s think of Stochastic Gradient Descent (SGD). SGD is a great optimizer when we have a lot of data and parameters. Because at each step SGD calculates an estimate of the gradient from a random subset of that data (mini-batch). Unlike Gradient Descent which considers the entire dataset at each step.

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#machine-learning #deep-learning #optimization #adam-optimizer #optimization-algorithms

Work Nomic

1619018024

Worknomic - Best Office Space for Rent/Leased in Sector 63 Noida

At Worknomic coworking space, we provide the basic amenities like high-speed internet, a cafeteria, opera-terrace gym, meeting rooms, seminar and event rooms, storage space, thinking pods, and many more. We provide access to coworkers so they can customize their spacer as per their choice and requirements.

#best coworking space in noida #best leased space in noida #coworking space for the freelancers in noida #best coworking space in noida #worknomic

Rylan  Becker

Rylan Becker

1624496700

Optimize Your Algorithms Tail Call Optimization

While writing code and algorithms you should consider tail call optimization (TCO).

What is tail call optimization?

The tail call optimization is the fact of optimizing the recursive functions in order to avoid building up a tall call stack. You should as well know that some programming languages are doing tail call optimizations.

For example, Python and Java decided to don’t use TCO. While JavaScript allows to use TCO since ES2015-ES6.

Even if you know that your favorite language support natively TCO or not, I would definitely recommend you to assume that your compiler/interpreter will not do the work for you.

How to do a tail call optimization?

There are two famous methods to do a tail call optimization and avoid tall call stacks.

1. Going bottom-up

As you know recursions are building up the call stack so if we avoid such recursions in our algorithms it will will allow us to save on the memory usage. This strategy is called the bottom-up (we start from the beginning, while a recursive algorithm starts from the end after building a stack and works backwards.)

Let’s take an example with the following code (top-down — recursive code):

function product1ToN(n) {
  return (n > 1) ? (n * product1ToN(n-1)) : 1;
}

As you can see this code has a problem: it builds up a call stack of size O(n), which makes our total memory cost O(n). This code makes us vulnerable to a stack overflow error, where the call stack gets too big and runs out of space.

In order to optimize our example we need to go bottom-down and remove the recursion:

function product1ToN(n) {
  let result = 1;
  for (let num = 1; num <= n; num++) {
    result *= num;
  }
  return result;
}

This time we are not stacking up our calls in the call stack, and we do use a O(1) space complexity(with a O(n) time complexity).

#memoization #programming #algorithms #optimization #optimize