scholarly journals Keuse van 'n vooruitskattingstegniek

1984 ◽  
Vol 15 (2) ◽  
pp. 128-133
Author(s):  
S. C. Gous
Keyword(s):  
The Past ◽  
Business Forecasting ◽  
Correct Technique ◽  
Suitable Technique ◽  
Relevant Factors ◽  
Forecasting Techniques

Choice of a forecasting technique Business forecasting has developed rapidly over the past few years as a result of the increasing complexity of the environment of the firm. Some researchers assert that businesses apparently experience three problems with reference to forecasting: a preference for the application of certain techniques is built up so that more suitable techniques are not utilized; not all relevant factors are taken into consideration in the choice of the most suitable technique; and managers often do forecasting themselves even though they possess little knowledge thereof. To handle the increasing variety and complexity of managerial forecasting problems, many forecasting techniques have been developed in recent years. Each has its special use, and care must be taken to select the correct technique for a particular application. The manager as well as the forecaster has a role to play in technique selection and the better the manager understands the range of forecasting possibilities, the more likely it is that a company's forecasting efforts will bear fruit.

scholarly journals Ondernemingsvooruitskatting in die groot vervaardigingsondernemings in Suid-Afrika, 1978

1979 ◽  
Vol 10 (4) ◽  
pp. 125-130
Author(s):  
Fanus C. Gous
Keyword(s):  
South Africa ◽  
Empirical Study ◽  
Limited Extent ◽  
The Past ◽  
Business Forecasting ◽  
The Subject ◽  
Suitable Technique ◽  
Relevant Factors

Business forecasting in the large manufacturing concerns in South Africa, 1978. Business forecasting has developed rapidly over the past few years as a result of the increasing complexity of the environment of the firm. Some overseas writers assert that the application thereof has developed more slowly than the theory connected to it: although businesses are aware of the necessity and existence of literature on the subject, it is only to a limited extent applied on an organized basis. Overseas businesses apparently experience three problems: a preference for the application of certain techniques is built up so that more suitable techniques are not utilized; not all relevant factors are taken into consideration in the choice of the most suitable technique; and managers often do forecasting themselves even though they possess little knowledge thereof. An empirical study has shown that similar problems are encountered by the relatively large manufacturing concerns in South Africa.Ondernemingsvooruitskatting het gedurende die afgelope jare, as gevolg van die toenemende kompleksiteit in die ondernemingsomgewing, vinnig ontwikkel. Sommige oorsese skrywers beweer dat die toepassing daarvan stadiger ontwikkel het as die teorie daaraan verbonde: ondernemings, alhoewel bewus van die noodsaaklikheid daarvan en ook van die bestaan van literatuur daaroor, pas dit in 'n beperkte mate op georganiseerde grondslag toe. Blykbaar ondervind oorsese ondernemings veral drie probleme: 'n voorkeur vir die toepassing van bepaalde tegnieke word opgebou sodat meer toepaslike tegnieke nie benut word nie; alle relevante faktore word nie in ag geneem by die keuse van die tegniek nie; en bestuurders doen dikwels self vooruitskatting alhoewel hulle oor weinig kennis daarvan beskik. 'n Empiriese studie het getoon dat soortgelyke probleme deur die relatief groot vervaardigingsondernemings in Suid-Afrika ondervind word.

Online monitoring of tool chatter in turning based on ensemble empirical mode decomposition and Teager Filter

2019 ◽  
Vol 42 (6) ◽  
pp. 1166-1179 ◽  
Author(s):  
Yogesh Shrivastava ◽  
Bhagat Singh
Keyword(s):  
Online Monitoring ◽  
Cutting Parameters ◽  
Ensemble Empirical Mode Decomposition ◽  
Exact Nature ◽  
The Past ◽  
Mode Decomposition ◽  
Cutting Zone ◽  
Experimental Values ◽  
Processing Techniques ◽  
Suitable Technique

Online monitoring of acquired vibration signals of the cutting tool can help in predicting the severity of chatter. In the past, researchers have reported that the signals recorded using various types of sensors are usually contaminated with background noise and other disturbances. Processing these contaminated signals results in inappropriate feature extraction. Hence, for predicting the exact nature of chatter it is required to identify: (1) Best suitable sensor for recording the chatter signal, (2) nature of the recorded signals, (3) appropriate technique to filter out the contamination, (4) applying suitable technique to identify chatter frequency and safe cutting zone. In the present work, a theoretical analysis has been done to extract the frequency pertaining to chatter. Moreover, experiments have been performed and a suitable signal pre and post-processing techniques have been adopted to identify the chatter frequency. It has been found that the variation between the theoretical and experimental values is nominal. Furthermore, the safe cutting zone has been identified theoretically as well as experimentally for a given range of input cutting parameters.

scholarly journals The microsurgical management of benign pineal cysts: Helsinki experience in 60 cases

2019 ◽  
Vol 10 ◽  
pp. 103 ◽  
Author(s):  
Joham Choque-Velasquez ◽  
Julio C. Resendiz-Nieves ◽  
Behnam Rezai Jahromi ◽  
Roberto Colasanti ◽  
Rahul Raj ◽  
...  
Keyword(s):  
Clinical Status ◽  
Demographic Analysis ◽  
Total Resection ◽  
The Past ◽  
Preoperative Status ◽  
Microsurgical Resection ◽  
Key Steps ◽  
Suitable Technique

Background: Microsurgical resection represents a well-accepted management option for symptomatic benign pineal cysts. Symptoms such as a headache, hydrocephalus, and visual deficiency are typically associated with pineal cysts. However, more recent studies reported over the past years have characterized additional symptoms as a part of the clinical manifestation of this disease and represent additional indications for intervention. Methods: We present a retrospective review of patients with histologically confirmed benign pineal cysts that were operated on in our department between 1997 and 2015. A demographic analysis, evaluation of preoperative status, surgical treatment, as well as immediate and long-term clinical and radiological outcomes were conducted. Results: A total of 60 patients with benign pineal cysts underwent surgery between 1997 and 2015. Gross total resection was achieved in 58 cases. All patients except one improved in their clinical status or had made a full recovery at the time of the last follow-up. The key steps for surgical resection of pineal cysts are reported, based on an analysis of representative surgical videos. Conclusions: We describe in this paper one of the largest series of microsurgically treated pineal cysts. In our opinion, judicious microsurgery remains the most suitable technique to effectively deal with this disease.

scholarly journals A Survey on E-Commerce Platform for Quality Evaluation Using Product Reviews

2021 ◽  
pp. 74-77
Author(s):  
Gautami Tilve ◽  
Krutika Valanj ◽  
Aishwarya Bhor ◽  
Vaibhav Waghmare ◽  
Prof. R. S. Shishupal
Keyword(s):  
Product Quality ◽  
Sentiment Analysis ◽  
Quality Evaluation ◽  
Product Reviews ◽  
Quality Service ◽  
Delivery Time ◽  
Product Review ◽  
The Past ◽  
The Impact ◽  
Relevant Factors

It has been seen that there is wide acceleration for an E-commerce platform over the past 10 years. Moreover the E-commerce platform booms in the last year due to this COVID -19 pandemic and potentially the next couple of months. Product Review helps a lot for buying anything online regarding product quality, Service, or delivery time. Sentiment analysis helps to understand the context and the person's intent about the product like +ve, -ve, or Neutral. This paper gives the survey of techniques used by the researcher to identify the most relevant factors by taking into account the frequency of the aspect and the impact of customers at the same time. The abstract view of the proposed system that we are going to implement helps to find a positive, negative, or neutral sense of aspects of the product.

Factors influencing the quality of objective-prism spectra

1966 ◽  
Vol 24 ◽  
pp. 55-56
Author(s):  
R. H. Hardie
Keyword(s):  
Image Quality ◽  
Spectral Features ◽  
The Past ◽  
Factors Influencing ◽  
Objective Prism ◽  
High Degree ◽  
Relevant Factors

The definition and clarity of spectral features in objective-prism spectra are determined largely by the telescope's image quality and the seeing conditions. Over the past 3 years, a systematic attempt has been carried out to identify and minimize all relevant factors which would tend to limit the image quality of spectra taken with the Seyfert 24-inch telescope in the Baker Corrector-Reflector arrangement. Both the inherent image quality and the seeing conditions have been brought up to a high degree of perfection.

scholarly journals Current Development on Cloud Computing Service Models for End Users Data Analysis

2019 ◽  
Vol 9 (2) ◽  
pp. 14
Author(s):  
Nur Hamezah Abdul Malic Abdul Malik ◽  
Tengku Adil Tengku Izhar ◽  
Mohd Razilan Abdul Kadir
Keyword(s):  
Cloud Computing ◽  
Critical Factors ◽  
The Past ◽  
Computing Services ◽  
Technology Advancement ◽  
Cloud Computing Service ◽  
Cloud Computing Services ◽  
And Performance ◽  
Framework Development ◽  
Relevant Factors

The emerging cloud computing has lead society to accept this technology advancement in their daily life. Referring to the past studies, it is found that there are few factors that effecting the usage satisfaction in using cloud computing services. Many cloud computing providers are always competing to give users the best feature out of their offered services. However, it should consider knowing the factors that contribute to the usage satisfaction. This paper reviewed the previous study on cloud computing services. We compare previous models on cloud computing to analyse current gaps on critical factors toward future framework development. The reviews contain relevant factors such as security, efficiency and performance, cost, organisation and technology developed based from the literature.

218. Starter cultures for cheese manufacture. Maintenance of acid-producing activity in cultures of lactic streptococci

1939 ◽  
Vol 10 (1) ◽  
pp. 120-132 ◽  
Author(s):  
H. R. Whitehead ◽  
G. J. E. Hunter
Keyword(s):  
New Zealand ◽  
Incubation Temperature ◽  
Starter Culture ◽  
Field Trials ◽  
Starter Cultures ◽  
Single Strain ◽  
The Past ◽  
Lag Period ◽  
Cheese Curd ◽  
Correct Technique

Single-strain cultures of streptococci used as “starters” in Cheddar cheese manufacture in New Zealand frequently suffered failure due to the apparently spontaneous appearance of bacteriophage. The trouble was cured at the Institute experimental factory by increasing the inoculum used in the starter culture from about 0·2% to 1·0–1·6%. The culture then showed a regular activity in the cheese vat from day to day for long periods of time. Field trials during the past two years have indicated that single strain cultures can be maintained for long periods also in commercial factories if the correct technique is practised.The theory is postulated that the effect of heavy inoculation in eliminating the spontaneous appearance of bacteriophage is due to the more rapid growth of the streptococci when they are transferred to each new batch of milk, i.e. to the shortening of the lag period. Bacteriophage tends to appear whenever the lag period is prolonged as a result of light inoculation, low incubation temperature, and aeration or ageing of the milk medium. Until more is known of the nature of phage it is not possible to suggest why a prolonged lag period in the initiation of growth should favour the appearance of phage.Under commercial conditions failures of starters occur from time to time due to faulty technique which permits the entry into cultures of extraneous phage. The source of the contamination is most probably the whey from cheese vats, since it has been shown that phage commonly occurs in the whey even in vats where acid develops quite normally within the the cheese curd. A recent case of failure, which appears to be due to some milk abnormality, indicates that there are some milk supplies in which the heavy inoculation technique described in this paper is not completely effective in preventing the appearance of bacteriophage.

scholarly journals Forecasting rupiah exchange rate with learning vector quantization neural network

2020 ◽  
Vol 18 (1) ◽  
pp. 24
Author(s):  
Linawati Linawati ◽  
Made Sudarma ◽  
I Putu Oka Wisnawa
Keyword(s):  
Exchange Rate ◽  
Inflation Rate ◽  
Weight Vector ◽  
Test Results ◽  
Forecasting Accuracy ◽  
The Past ◽  
Classification Technique ◽  
Daily Period ◽  
Selection Of ◽  
Forecasting Techniques

<p>The classification technique and data forecasting will probably be one of the techniques that will often be needed in handling or managing big data. So, from that the author analyzes the possible development of the existing algorithms. The purpose is to find possibilities in the use of reliable algorithms in a particular field, then can be adopted and implemented to develop forecasting techniques in the future. Based on these considerations, the authors conducted experiments by applying LVQNN to conduct shortterm forecasting on daily period of the Rupiah exchange rate. The literature that is used as a reference is the discovery of architectural data classification processes that resemble forecasting techniques. So, when there is a combination of Rupiah exchange histories, it is possible to find these combinations into certain classes based on predetermined parameters and historical data combination data and forecast values in the past. In this research the factors chosen as indicators that affect the Rupiah exchange rate are the amount of exports, the amount of imports, the inflation rate and also the world oil price. In this research the highest accuracy value in the testing process for the population reached 99.0991%. The increase in the percentage value of forecasting accuracy is influenced by the composition of the data. In this study the formation of data composition is influenced by distinct data. The selection of parameters which become distinct claused determines how the composition of the data will be formed. If the composition of the data is not correct, the test results will not be good. If the number of weights vector is smaller than the input data, the forecasting accuracy will decrease. Because the weight vector cannot represent data combinations that used during training or testing.</p>

scholarly journals Effective Role Of Forecasting And Decision Making In Organization Of Borno State

2021 ◽  
Vol 03 (01) ◽  
pp. 20-23
Author(s):  
Umar Mohammed Ali ◽  
Keyword(s):  
Business Environment ◽  
Management Decision ◽  
Business Organisation ◽  
Qualitative And Quantitative ◽  
Forecasting Method ◽  
Or Methodology ◽  
Business Forecasting ◽  
Effective Role ◽  
Forecasting Techniques

Forecasting is the Act of anticipating in advancement is likely to happen under a given sat to condition is very important not only to every business organisation but to virtually every significant management decision. The framework of this paper is focus on the nature of the forecasting and the role of the forecasting techniques, which include the qualitative and quantitative, the criteria for choosing forecasting technique and the failure of the business forecasting techniques. However, perfect forecasting is usually impossible because there are so many factor in the business environment that can not be fully predicted with certainty, therefore rather than search for the perfect forecasting, which is more important is to establish the practical of continual model or methodology but we should try to chose the best forecasting method in making decisions in an organisation.

On Visualizing Mixed-Type Data

2016 ◽  
Vol 47 (2) ◽  
pp. 207-239 ◽  
Author(s):  
Aurea Grané ◽  
Rosario Romera
Keyword(s):  
Mixed Type ◽  
Real Data ◽  
Social Programs ◽  
Data Set ◽  
The Past ◽  
Multivariate Outliers ◽  
Type Data ◽  
Socially Excluded ◽  
In The Beginning ◽  
Relevant Factors

Survey data are usually of mixed type (quantitative, multistate categorical, and/or binary variables). Multidimensional scaling (MDS) is one of the most extended methodologies to visualize the profile structure of the data. Since the past 60s, MDS methods have been introduced in the literature, initially in publications in the psychometrics area. Nevertheless, sensitivity and robustness of MDS configurations have been topics scarcely addressed in the specialized literature. In this work, we are interested in the construction of robust profiles for mixed-type data using a proper MDS configuration. To this end, we propose to compare different MDS configurations (coming from different metrics) through a combination of sensitivity and robust analysis. In particular, as an alternative to classical Gower’s metric, we propose a robust joint metric combining different distance matrices, avoiding redundant information, via related metric scaling. The search for robustness and identification of outliers is done through a distance-based procedure related to geometric variability notions. In this sense, we propose a statistic for detecting multivariate outliers in the context of mixed-type data and evaluate its performance through a simulation study. Finally, we apply these techniques to a real data set provided by the largest humanitarian organization involved in social programs in Spain, where we are able to find in a robust way the most relevant factors defining the profiles of people that were under risk of being socially excluded in the beginning of the 2008 economic crisis.

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