The simulation of distillation columns is an essential step in design, optimization, and rating. In this paper, a new procedure has been proposed for the initial estimation of column profiles based on modified Kremser’s group method for simple and/or complex columns. The effect of this initialization algorithm on simulation procedure has been studied through two examples. The results show sig...

Stream cipher ZUC is the core component in the 3GPP confidentiality and integrity algorithms 128-EEA3 and 128-EIA3. In this paper, we present the details of our differential attacks against ZUC 1.4. The vulnerability in ZUC 1.4 is due to the non-injective property in the initialization, which results in the difference in the initialization vector being cancelled. In the first attack, difference...

Leader election and initialization are two fundamental problems in mobile ad hoc networks (MANETs). The leader can serve as a coordinator in the MANETs and the initialization protocol can assign each host a sequential, unique, and short IDž. Q1 As we know, nož research on initialization for IEEE Q2 802.11-based MANETs has been done. Here, we propose two contention-based leader election and init...

This study introduces a novel liver segmentation approach for estimating anatomic liver volumes towards selective internal radiation treatment (SIRT). The algorithm requires minimal human interaction since the initialization process to segment the entire liver in 3D relied on a single computed tomography (CT) slice. The algorithm integrates a localized contouring algorithm with a modified k-mea...

Curve evolution implementations of the MumfordShah functional are of broad interests in image segmentation. These implementations, however, have initialization problems. A mathematical analysis of the initialization problem for the Chan-Vese implementations is provided in this paper. The initialization problem is shown to result from the non-convexity of the Mumford-Shah functional and the top-...

Mutual dependencies between objects arise frequently in programs, and programmers must typically solve this value recursion by manually filling “initialization holes” to help construct the corresponding object graphs, i.e. null values and/or explicitly mutable locations. This paper aims to augment ongoing theoretical work on value recursion with a description of a semi-safe mechanism for a gene...

a r t i c l e i n f o a b s t r a c t Clustering is an important research area with numerous applications in pattern recognition, machine learning, and data mining. Since the clustering problem on numeric data sets can be formulated as a typical combinatorial optimization problem, many researches have addressed the design of heuristic algorithms for finding sub-optimal solutions in a reasonable...

The Packet Radio Network (PRNET), a store-and-forward packet-switching system sharing a single radio channel via multi-access techniques and spread spectrum, is an effective communication medium for data and voice transmission in situations requiring fast deployment, non-fixed hardware locations, encryption and anti-jamming in hostile military environments.1-5.14.15 Many investigators have deve...

The paper is devoted to the comparison of different approaches to initialization of neural network weights. Most algorithms based on various levels of modification of random weight initialization are used for the multilayer artificial neural networks. Proposed methods were verified for simulated signals at first and then used for modelling of real data of gas consumption in the Czech Republic.

In Reinforcement Learning (RL), it is common to use optimistic initialization of value functions to encourage exploration. However, such an approach generally depends on the domain, viz., the scale of the rewards must be known, and the feature representation must have a constant norm. We present a simple approach that performs optimistic initialization with less dependence on the domain.