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One of the components of logistics costs which become concern of many parties is the port costs, in order to support the national high logistics cost reduction, study related to the port tariff structure and its associated regulations is needed, especially a matter to formulate and determining policy related to pricing port services.
One of the components of logistics costs which become concern of many parties is the port costs, in order to support the national high logistics cost reduction, study related to the port tariff structure and its associated regulations is needed.
This paper include: description of the process, legal and strategic framework, methods and tools, information sources and background data used in the study, result of port tariff structure in Indonesia and recommendations on how to reduce cost of port in Indonesia based on the port tariff structure result.

According to the complex surface measurement programming provided by the measuring data, through the data processing, complex surface shape reconstruction theory, the curved surface modeling module in the reverse engineering system describe the surface geometry characteristics mathematical model.So, according to the numerical control equipment, tooling, cutting tool condition types and sizes, parts processing of the comprehensive selected factors, CAM module could determine the reasonable blank size, the machining way, the automatic machining surfaces programming processing and international standards of APT cutter location data file.After the post processing to generate NC code[2].
Using the Pro/NC processing module, the computer geometry model ( CAD ) and the computer aided manufacturing ( CAM ) of products will be integrated.So, used by the manufacturing processing data, it can be planned that product processing and manufacturing processing.
Manufacturing technology division using Pro/NC for manufacturing process planning, according to the manufacturing process data, processing and manufacturing parameters calculated from the cutting tool relative processing coordinate tool path data, called the CL DATA ( CUTTER LOCATION DATA )[3].Tool path data after the processor converts the processing machine code to a working machine tool for the actual machining process design, manufacturing products and part model.
References [1] H Woo,E Kall,SemyungWang,et,a1.A new segmentation method for point cloud data.International Journal of Machine Tools&Manufacture, 42(2002):167-168
[6] Lee K H,Woo H, Suk T.Data reduction methods for reverse engineering.Intemational Journal of Advanced Manufacturing Technology.17(2001):735-743

Generally, LSI can be implemented via singular-value decomposition (SVD) of the original data matrix.
So, LSI is very efficient in reducing the latent semantic dimensions of the original data set.
In the field of text mining, NMF plays an important role in dealing with high dimensional data.
Using NMF to the document-term matrix obtained from original document data set, it can get term-feature matrix and feature-document matrix accordingly.
There, term-feature matrix shows the features of text data set, while feature-document matrix may imply the data clustering results for this data set.

The formation of a simple pattern of rough sets theory has the following procedures: first of all, classify the data of little difference involved in a decision information system, then establish indistinguishable relationship, and finally carry out attributes and attribute values reduct in the decision table so as to eliminate unnecessary rows and unimportant attribute values. 1.2 Characteristics of rough sets theory in dealing with data Rough sets don’t require priori knowledge but only relying on the information of data themselves.
A rough set is a powerful tool for analyzing data.
It can firstly express and deal with incomplete information, secondly simplify data and obtain the minimal expression of knowledge while maintaining key information, thirdly identify and assess dependency among data and bring to light a pattern of simple concept and lastly obtain rules and knowledge which are easy to prove from empirical data.
We get Table 2 after coding the data in Table 1.
Applying Distinguishable Matrix of Rough Sets in Attribute Reduction of Concept Lattices[J].Computer Engineering, 2004, 30(20)

Through environmental factor monitoring sub platform, can realize the crop growth environment real-time monitoring, get obtain information and provides basis data for intelligent decision-making sub platform.
Environmental factor monitoring sub platform mainly realize of temperature, humidity, light, carbon dioxide and other environmental factors data collection in agricultural production and video surveillance in field production.
Among them, the sensor is responsible for collecting temperature, humidity and other environmental factors data, and sends these data through the bus to the concentrator; The camera transports video data through the video line to the concentrator; The concentrator includes an XML encoder, all data is encoded into XML format before it communicate with the server.
Fig.2 Structure diagram of sensor communication Fig.3 Intelligent decision-making sub platform’s work flow 3.2 Intelligent decision-making sub platform Intelligent decision-making sub platform provides timely decision support and control according to the real-time monitoring of the environmental factors data and data variation.
A variety of monitoring data are inputted from the input module, this sub platform will generate an alarm signal as soon as the data reaching certain threshold, and then alarm user through sound, Email, SMS and other forms; At the same time, according to the abnormal condition, the decision module independent from the knowledge base to find solutions for automatic control, and the control information is delivered to each actuator through the output module.

This marks the second important paradigm shift in manufacturing metrology towards holistic measurement data acquisition.
Today there are two different possibilities for these evaluations: One is the analysis of the entire volumetric data set and the other is the analysis of a surface model extracted from the original data set. [3] All evaluation methods and software tools for measurement data evaluation known from conventional coordinate metrology rely on surface data sets.
So these data has to be extracted from the volumetric data sets.
That means that certain features are present in several point clouds and others appear only in a single data set.
The aim of sensor data fusion is to combine the different point clouds and calculate a new data set containing all information of the different measurements and their interferences to a more detailed view of the workpiece as a base for function-oriented analyses.

However, better recognition performance could be achieved under limited conditions because PCA fails to discover the nonlinearity relations between the data points.
Different from previous methods for ear recognition, this method not only can find the intrinsic structure of data points by constructing embedded space which preserves their neighborhood relationship, but also can transform the nonlinear problem into the linear problem by local linear fitting and enable us to visualize data structure clearly.
Supervised kernel neighborhood preserving projections Neighborhood preserving projection (NPP) [10] is a recently proposed dimensionality reduction method, which try to find a transformation matrix A to project high-dimensional input data 1 2[ , ,..., ]n X x x x = into a low-dimensional subspace Y where T i iy A x= .
Then we use a nonlinear function φ to map the data into a high-dimensional feature space F .
However, LNN classifiers only work well in the case that the training data set is linearly separate, and will fail for nonlinearly separate problems, which are not suitable for the nonlinear case.

With the each clock pulse fs, the adder will add the frequency control word K to accumulation phase of accumulator register output data, and send the combined results of the data to input end of the accumulator register.
Phase controller is a 10-bit registers, it receives phase control word data from the single-chip and deposit it.
When the next clock arrives, inputting the deposit data and control the frequency and phase of output waveform.
Increasing the capacity of the waveform storage has two ways: The first is that increasing directly the absolute capacity of the waveform storage, but this way is limited by hardware conditions, and impossible unlimited increase; the second is through the compression storage data for equivalent to increase data addressing bits of the memory.
Xi'an: Xi'an Jiaotong University Press. 1995 [5] V.S.Reinhardt, Spur reduction techniques in direct digital synthesis, IEEE proc, 47th AFCS, 1993, 230~241

The PAL data were collected using two specimens to sandwich the radioactive source.
The green dotted line shows the data obtained with the traditional system using sandwich geometry.
The lifetime component of several nanoseconds is clearly weakened in the PAL data acquired with A-C processing (blue dotted line) in comparison with the PAL data acquired without A-C processing (red dotted line).
The PAL data recorded with A-C processing are equivalent to the data obtained with the traditional system (green dotted line) except that the background level of the former is slightly lower than the latter.
The green dotted line shows the data obtained with the traditional system using sandwich geometry.

Such reduction in the lattice constant was associated with incorporation of smaller copper cations into the Zn-sites.
Monotonic reduction in both parameters was observed which could be associated with successful incorporation of smaller Cu cations (Cu(IV) = 0.57 Å) into the Zn lattice (Zn(IV) = 0.6 Å).
The positivity of these a and b parameters was in agreement with the absorbance data from UV-vis spectroscopy.