Use of fuzzy inference approach to estimate maritime security level

2016 ◽  
pp. 911-920
Author(s):  
N Ventikos ◽  
D Stavrou ◽  
Z Yang
2021 ◽  
Vol 3 (1) ◽  
pp. 19-28
Author(s):  
Ayu Kusuma Wardani

Ministerial Regulation Number 134 of 2016 is a form of ratification of the International Ship and Port Facility Security Code 2002 (ISPS Code, 2002), the objective of which is to establish a consistent standard framework for evaluating risk and enabling the government to compensate for changes in threats through measures appropriate safety measures. In its development, there are several regulations related to implementing the 2002 ISPS Code in Indonesia. These regulations were formed by adjusting the standard regulations in the 2002 ISPS Code with the safety conditions of ships and ports in Indonesia. The problem is, Indonesia has several large ports that operate as international ports in international trade.   The type of research used is normative legal research sourced from primary, secondary, and tertiary legal materials whose data collection is carried out by literature study. The results of the study show two things: (1) Maritime security arrangements relating to shipping safety standards and port facilities in the 2002 ISPS Code are divided into two parts, namely part A (Part A) containing systematic arrangements and implementation of the ISPS Code for signatory countries including and Definition, Purpose, Scope of Ship Safety Standards and Port facilities and ISPS Code Compliance Procedure. And part B (Part B) contains further explanation about part A including Determination of Security Level, Implementation of Ship Security, Implementation of Port Facility, and Information and Communication Security. (2) The implementation of the maritime security regulation related to security standards ships and port facilities in the ISPS Code in 2002 in Indonesia contained in via Law No. 17 the Year 2008 on the voyage, Ministerial Regulation Number 134 the Year 2016 concerning Management of Ship Safety and Port Facilities.


2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Shumaila Shahzadi ◽  
Bushra Khaliq ◽  
Muhammad Rizwan ◽  
Fahad Ahmad

Cloud computing can enable organizations to do more by breaking the physical bonds between an IT foundation. The raised security dangers in cloud computing must be overpowered to profit the new processing perspective that offers an imaginative arrangement of activity for relationship to IT. The purpose of the study was to reduce security’s obstacles and risks by using protection methods and approaches to ensure maximum data protection, which allows for the user to select the original security level. An adaptive neural control fuzzy system is used to resolve the unsecure and risky tasks of cloud computing. Sugeno control methods have been applied for these data protection issues in which the uncertainty because of randomness can be resolved. ANFIS identified the input parameters according to the current scenario, fuzzified the data, and integrated them into knowledge rule base. Different membership functions were used for training the data. In this article, we present a point-by-point examination of the cloud security issue. We assessed the issue from the cloud building point of view. In context of this examination, we deduce an unmistakable detail of the cloud security issue and key highlights that ought to be confirmed by any proposed security strategy. The examination and results show that the parameters dependent on ANFIS are very much intended to distinguish the oddities in cloud condition with least bogus negative rate and high discovery precision. The performance of Sugeno membership function usually gives better results and ensures the computational efficiency and accuracy of data.


2021 ◽  
Vol 3 (2) ◽  
pp. 185-201
Author(s):  
Natig Hasanov ◽  
Mohamed Farhan Alsulaiman

In the aftermath of the 9/11/2001 terrorist attacks in the USA via air transport vehicles (airplanes), security vulnerabilities also became a major concern for the shipping industry. Reacting rather quickly, the International Maritime Organization (IMO) streamlined efforts to respond to the need for a new global legal framework that addresses security risks and establishes mitigation measures to enhance security levels within the extended maritime transport system through the introduction of the International Ship and Port Facility Security Code (ISPS Code). Security issues became an inseparable part of the International Convention for the Safety of Life at Sea (SOLAS) with the incorporation of a new Chapter (XI-2: Special measures to enhance maritime security). The ISPS Code was adopted with the objective of establishing effective international cooperation between contracting governments, governmental agencies, national administrations, shipping companies, and port facilities for identifying, evaluating, and responding to security threats against ships and ports. Azerbaijan’s State Maritime Agency (SMA) is the authorized organization for the implementation of the provisions of SOLAS and the ISPS Code on behalf of the government. The main aim of this research was to evaluate the specific implementation framework of the ISPS Code, including associated regulations and guidelines; it also briefly examined the different security measures within the various port facilities in the Republic of Azerbaijan. This effort was based on 2 different approaches, in which both qualitative and quantitative research techniques were used. Data was collected through interviews with person responsible for the security of ships and the port facilities and from a survey of 115 participants directly involved in maritime security, such as seafarers, port facility guards, and port personnel, as well as visitors. Overall, the implementation of the ISPS Code in Azerbaijan has been successful, and the security level has been maintained at a high level; however, there are some areas in need of improvement.


2020 ◽  
Vol 91 (6) ◽  
pp. 7-18
Author(s):  
О. Skydan ◽  
◽  
О. Nykolyuk ◽  
P. Pyvovar ◽  
P. Topolnytskyi ◽  
...  

2016 ◽  
pp. 141-149
Author(s):  
S.V. Yershov ◽  
◽  
R.М. Ponomarenko ◽  

Parallel tiered and dynamic models of the fuzzy inference in expert-diagnostic software systems are considered, which knowledge bases are based on fuzzy rules. Tiered parallel and dynamic fuzzy inference procedures are developed that allow speed up of computations in the software system for evaluating the quality of scientific papers. Evaluations of the effectiveness of parallel tiered and dynamic schemes of computations are constructed with complex dependency graph between blocks of fuzzy Takagi – Sugeno rules. Comparative characteristic of the efficacy of parallel-stacked and dynamic models is carried out.


2017 ◽  
Vol 3 (1) ◽  
pp. 36-48
Author(s):  
Erwan Ahmad Ardiansyah ◽  
Rina Mardiati ◽  
Afaf Fadhil

Prakiraan atau peramalan beban listrik dibutuhkan dalam menentukan jumlah listrik yang dihasilkan. Ini menentukan  agar tidak terjadi beban berlebih yang menyebabkan pemborosan atau kekurangan beban listrik yang mengakibatkan krisis listrik di konsumen. Oleh karena itu di butuhkan prakiraan atau peramalan yang tepat untuk menghasilkan energi listrik. Teknologi softcomputing dapat digunakan  sebagai metode alternatif untuk prediksi beban litrik jangka pendek salah satunya dengan metode  Adaptive Neuro Fuzzy Inference System pada penelitian tugas akhir ini. Data yang di dapat untuk mendukung penelitian ini adalah data dari APD PLN JAWA BARAT yang berisikan laporan data beban puncak bulanan penyulang area gardu induk majalaya dari januari 2011 sampai desember 2014 sebagai data acuan dan data aktual januari-desember 2015. Data kemudian dilatih menggunakan metode ANFIS pada software MATLAB versi b2010. Dari data hasil pelatihan data ANFIS kemudian dilakukan perbandingan dengan data aktual dan data metode regresi meliputi perbandingan anfis-aktual, regresi-aktual dan perbandingan anfis-regresi-aktual. Dari perbandingan disimpulkan bahwa data metode anfis lebih mendekati data aktual dengan rata-rata 1,4%, menunjukan prediksi ANFIS dapat menjadi referensi untuk peramalan beban listrik dimasa depan.


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