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Towards New Horizons: Fayad’s Unified Software Engine (FUSE)

Human Rights Fayad’s Unified Software Engine (HRs-FUSE)

CHALLENGS:

In this Project, we will answer several important and challenging questions.

1) Are existing Human Rights rules and organizations effective? The answer is no.

2) Can HRs-FUSE exist without software development (SWD)?

The answer HRs-FUSE cannot exist without SWD.

3) Is it possible to build HRs-FUSE as an intelligent, unified multi-purpose social network engine that provides many ways for any party to report a complaint for one or more reasons with evidence? The answer is yes.

4) Can the HRs-FUSE overcome human rights challenges and the knowledge, capacity, commitment, and security gaps? The answer is yes.

5) Can the HRs-FUSE temporal and spatial analysis provinces of this complaint using Smart and Unified Content Mining, Unified Deep Learning, and Stable Visualization Techniques to look for any violation of human rights rules? The answer is yes

6) The HRs-FUSE is architected and designed to make it highly adaptable; separating concerns between functionality is exceptionally well done. All of this is possible since it builds on the foundation of the Software Stability Model (SSM). In addition, the HRs-FUSE design brings several added values, such as longevity, high investment returns, configurable, customizability, and much more.

What is the HR-FUSE?

Human Rights Fayad’s Unified Software Engine (HRs-FUSE) is an innovative, unified multi-purpose social network engine that

· Provides many ways for any party (Any Human) and (Any Organization, Any Country, and Any Political Party) and for any actor (Person, HW, SW, and Creature) to verify, utilize, collect, and analyze

· Reports a complaint for one or more reasons with evidence.

The HR-FUSE uses:

a) Data Visualization (DV-FUSE) that is Temporal and spatial analysis provinces of this complaint using Smart,

b) Content Mining (CM-FUSE),

c) Deep Learning (DL-FUSE), and to look for any violation of human rights rules.

The engine keeps track of different types of violations and categorizes and records the violation in many different logs, generating many different reports. The engine provides many different supports to their parties (users), such as advice on what to do, notifications of the responsible and authorized parties, consulting, and legal guidelines and actions.

The HRs-FUSE provides.

1) Complaint management:

2) Reason and evidence analysis,

3) True violation discovery and severity assessment,

4) Human right violation early warning and preventive measures,

5) human rights monitoring,

6) Risk identification, analysis, and assessment,

7) Solution scenarios generation, illustrate scenarios with different actors and parties and simulate their roles in any human rights violations,

8) Generate all the data needed to be analyzed, visualized, and animated and can be utilized in unlimited human rights violations at all levels worldwide.

The HRs-USE covers a large number of aspects or mechanisms focused on:

(1) Geographic aspects (combination of spatial data and temporal data), combined political and economic dimensions, right-based approaches, human rights violation dynamism, structural root causes of human rights violations,

(2) Understanding the roots of human rights violations, human security, and human rights, event data analysis (qualitative and qualitative), devising evidence-based peacebuilding and strategies, aid fostering long-term reconciliation and recovery, and others.

The HRs-FUSE generates enormous volumes of different types of data-driven from the aspects and mechanisms, such as spatial, temporal, views, analytical, political, economic, event-driven, behavioral, stack-holder data, and historical data. For example, Spatial data is the data or information that identifies or detects the geographic locations of various features and boundaries where human rights violation exists. Data can also be temporal because it is valid only for a certain extent and has an expiry date and time. Currently, most of the research on data mining in geospatial data takes the static view of geospatial phenomena, which only captures one aspect of data, i.e., spatiality.

The HRs-FUSE extracts cull knowledge and skills from spatiotemporal data that will help us better predict spatial processes or events over time. The HRs-Engine also extracts other data, such as stakeholder behavior data, economic data, and political data will shed an understanding of the conflict situation and predicate possible resolutions.

HR-FUSE SPECIAL GOAL

To formulate a large-scale prototype, including its Knowledge Map and Architecture for the proposed system.

The core knowledge forms an engine called ‘HRs-FUSE that can be extended, adapted to different needs, and customized.

Furthermore, HRs-FUSE has many additional properties, such as

(a) Runs online all the time like search engines,

(b) Provides unlimited spatial, temporal, and spatiotemporal applications,

(c) Has unlimited capabilities, such as algorithms and mechanism,

(d) Does not require prior investment needed,

(e) Has provisions of high security and privacy,

(f) Handles unlimited number of Users/Usages,

(g) Limits cost per usage (Royalty, Subscriptions, and Memberships),

(h) Handles unlimited number of applications (RUNS) in the same time,

(i) Shows a level of needs and demand for a giving technology (Evaluation of Technology),

(j) Available all the time for usage online ranges from single users (individuals) and large enterprises,

(k) Has no maintenance and license fees – no prior fees for using the engine,

(l) Runs multiple algorithms on a complex aspects’ dataset and provide comparative results,

(m) Easy to adapt, customize, extend with many different kernels, such as visualization, animation, unified deep learning, etc, and

(n) collect unlimited types of data and contents including live data on the spot, such as videos, pictures, environmental conditions, recordings, and others

To develop an accessible, web-based portal/interface to HRs-FUSE, a single-entry interface.

It takes Any Log or Any Content (such as a. file), which contains different types of human rights violations data and contents to be mined, analyzed, assessed, visualized, and animated and shows one or more logs that contain the data results.

In addition, the web-based provides hidden pages that will track and show several trends about the number of users, number of members, number of subscribers, and number of daily, weekly, and monthly transactions, with meaningful curves. Also, the use of mechanisms’ frequency and durations as bases to compare different mechanisms to find:

Aspects, mechanisms’ findings, and suggested actions to be taken – Use tables and curves to compare the frequency and duration of all the mechanisms and to compare data results and show the similarities and differences of using different aspects and mechanisms.

Collect and document the HRs-FUSE core knowledge (analysis, design, architectural) patterns. We plan to collect, analyze, and document all the stable core knowledge patterns of the entire knowledge map based on software stability and new linguistic Engineering innovation.

HR-FUSE PROJECT

This Project aims to develop an intelligent, timeless, stable, and open unified architecture for a multi-purpose human rights violations (data and contents) management engine, where both unified and stable classes (aspects), and application classes are developed based on separately. Furthermore, their composition is formally supported to ensure correctness. This separation of concerns allows for reusability and enables the building of software systems for HRs-FUSE that are stable, reusable, adaptable, and extendable.

CONCLUSION & INVITATION

Invitations are extended to several companies to partner with us and as many professionals and academies to be part of this project, to provide endorsement and support letters for this project to be done.

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